WorldWideScience

Sample records for genome-wide experimental determination

  1. Genome-wide experimental determination of barriers to horizontal gene transfer

    Energy Technology Data Exchange (ETDEWEB)

    Rubin, Edward; Sorek, Rotem; Zhu, Yiwen; Creevey, Christopher J.; Francino, M. Pilar; Bork, Peer; Rubin, Edward M.

    2007-09-24

    Horizontal gene transfer, in which genetic material is transferred from the genome of one organism to another, has been investigated in microbial species mainly through computational sequence analyses. To address the lack of experimental data, we studied the attempted movement of 246,045 genes from 79 prokaryotic genomes into E. coli and identified genes that consistently fail to transfer. We studied the mechanisms underlying transfer inhibition by placing coding regions from different species under the control of inducible promoters. Their toxicity to the host inhibited transfer regardless of the species of origin and our data suggest that increased gene dosage and associated increased expression is a predominant cause for transfer failure. While these experimental studies examined transfer solely into E. coli, a computational analysis of gene transfer rates across available bacterial and archaeal genomes indicates that the barriers observed in our study are general across the tree of life.

  2. Integrating experimental and analytic approaches to improve data quality in genome-wide RNAi screens.

    Science.gov (United States)

    Zhang, Xiaohua Douglas; Espeseth, Amy S; Johnson, Eric N; Chin, Jayne; Gates, Adam; Mitnaul, Lyndon J; Marine, Shane D; Tian, Jenny; Stec, Eric M; Kunapuli, Priya; Holder, Dan J; Heyse, Joseph F; Strulovici, Berta; Ferrer, Marc

    2008-06-01

    RNA interference (RNAi) not only plays an important role in drug discovery but can also be developed directly into drugs. RNAi high-throughput screening (HTS) biotechnology allows us to conduct genome-wide RNAi research. A central challenge in genome-wide RNAi research is to integrate both experimental and computational approaches to obtain high quality RNAi HTS assays. Based on our daily practice in RNAi HTS experiments, we propose the implementation of 3 experimental and analytic processes to improve the quality of data from RNAi HTS biotechnology: (1) select effective biological controls; (2) adopt appropriate plate designs to display and/or adjust for systematic errors of measurement; and (3) use effective analytic metrics to assess data quality. The applications in 5 real RNAi HTS experiments demonstrate the effectiveness of integrating these processes to improve data quality. Due to the effectiveness in improving data quality in RNAi HTS experiments, the methods and guidelines contained in the 3 experimental and analytic processes are likely to have broad utility in genome-wide RNAi research.

  3. A powerful test of independent assortment that determines genome-wide significance quickly and accurately.

    Science.gov (United States)

    Stewart, W C L; Hager, V R

    2016-08-01

    In the analysis of DNA sequences on related individuals, most methods strive to incorporate as much information as possible, with little or no attention paid to the issue of statistical significance. For example, a modern workstation can easily handle the computations needed to perform a large-scale genome-wide inheritance-by-descent (IBD) scan, but accurate assessment of the significance of that scan is often hindered by inaccurate approximations and computationally intensive simulation. To address these issues, we developed gLOD-a test of co-segregation that, for large samples, models chromosome-specific IBD statistics as a collection of stationary Gaussian processes. With this simple model, the parametric bootstrap yields an accurate and rapid assessment of significance-the genome-wide corrected P-value. Furthermore, we show that (i) under the null hypothesis, the limiting distribution of the gLOD is the standard Gumbel distribution; (ii) our parametric bootstrap simulator is approximately 40 000 times faster than gene-dropping methods, and it is more powerful than methods that approximate the adjusted P-value; and, (iii) the gLOD has the same statistical power as the widely used maximum Kong and Cox LOD. Thus, our approach gives researchers the ability to determine quickly and accurately the significance of most large-scale IBD scans, which may contain multiple traits, thousands of families and tens of thousands of DNA sequences.

  4. Genome-wide identification of genetic determinants for the cytotoxicity of perifosine

    Directory of Open Access Journals (Sweden)

    Zhang Wei

    2008-09-01

    Full Text Available Abstract Perifosine belongs to the class of alkylphospholipid analogues, which act primarily at the cell membrane, thereby targeting signal transduction pathways. In phase I/II clinical trials, perifosine has induced tumour regression and caused disease stabilisation in a variety of tumour types. The genetic determinants responsible for its cytotoxicity have not been comprehensively studied, however. We performed a genome-wide analysis to identify genes whose expression levels or genotypic variation were correlated with the cytotoxicity of perifosine, using public databases on the US National Cancer Institute (NCI-60 human cancer cell lines. For demonstrating drug specificity, the NCI Standard Agent Database (including 171 drugs acting through a variety of mechanisms was used as a control. We identified agents with similar cytotoxicity profiles to that of perifosine in compounds used in the NCI drug screen. Furthermore, Gene Ontology and pathway analyses were carried out on genes more likely to be perifosine specific. The results suggested that genes correlated with perifosine cytotoxicity are connected by certain known pathways that lead to the mitogen-activated protein kinase signalling pathway and apoptosis. Biological processes such as 'response to stress', 'inflammatory response' and 'ubiquitin cycle' were enriched among these genes. Three single nucleotide polymorphisms (SNPs located in CACNA2DI and EXOC4 were found to be correlated with perifosine cytotoxicity. Our results provided a manageable list of genes whose expression levels or genotypic variation were strongly correlated with the cytotoxcity of perifosine. These genes could be targets for further studies using candidate-gene approaches. The results also provided insights into the pharmacodynamics of perifosine.

  5. Experimental evidence of genome-wide impact of ecological selection during early stages of speciation-with-gene-flow.

    Science.gov (United States)

    Egan, Scott P; Ragland, Gregory J; Assour, Lauren; Powell, Thomas H Q; Hood, Glen R; Emrich, Scott; Nosil, Patrik; Feder, Jeffrey L

    2015-08-01

    Theory predicts that speciation-with-gene-flow is more likely when the consequences of selection for population divergence transitions from mainly direct effects of selection acting on individual genes to a collective property of all selected genes in the genome. Thus, understanding the direct impacts of ecologically based selection, as well as the indirect effects due to correlations among loci, is critical to understanding speciation. Here, we measure the genome-wide impacts of host-associated selection between hawthorn and apple host races of Rhagoletis pomonella (Diptera: Tephritidae), a model for contemporary speciation-with-gene-flow. Allele frequency shifts of 32 455 SNPs induced in a selection experiment based on host phenology were genome wide and highly concordant with genetic divergence between co-occurring apple and hawthorn flies in nature. This striking genome-wide similarity between experimental and natural populations of R. pomonella underscores the importance of ecological selection at early stages of divergence and calls for further integration of studies of eco-evolutionary dynamics and genome divergence. © 2015 The Authors Ecology Letters published by John Wiley & Sons Ltd and CNRS.

  6. Genetic determinants of cardiovascular events among women with migraine: a genome-wide association study.

    Directory of Open Access Journals (Sweden)

    Markus Schürks

    Full Text Available BACKGROUND: Migraine is associated with an increased risk for cardiovascular disease (CVD. Both migraine and CVD are highly heritable. However, the genetic liability for CVD among migraineurs is unclear. METHODS: We performed a genome-wide association study for incident CVD events during 12 years of follow-up among 5,122 migraineurs participating in the population-based Women's Genome Health Study. Migraine was self-reported and CVD events were confirmed after medical records review. We calculated odds ratios (OR and 95% confidence intervals (CI and considered a genome-wide p-value <5×10(-8 as significant. RESULTS: Among the 5,122 women with migraine 164 incident CVD events occurred during follow-up. No SNP was associated with major CVD, ischemic stroke, myocardial infarction, or CVD death at the genome-wide level; however, five SNPs showed association with p<5×10(-6. Among migraineurs with aura rs7698623 in MEPE (OR = 6.37; 95% CI 3.15-12.90; p = 2.7×10(-7 and rs4975709 in IRX4 (OR = 5.06; 95% CI 2.66-9.62; p = 7.7×10(-7 appeared to be associated with ischemic stroke, rs2143678 located close to MDF1 with major CVD (OR = 3.05; 95% CI 1.98-4.69; p = 4.3×10(-7, and the intergenic rs1406961 with CVD death (OR = 12.33; 95% CI 4.62-32.87; p = 5.2×10(-7. Further, rs1047964 in BACE1 appeared to be associated with CVD death among women with any migraine (OR = 4.67; 95% CI 2.53-8.62; p = 8.0×10(-7. CONCLUSION: Our results provide some suggestion for an association of five SNPs with CVD events among women with migraine; none of the results was genome-wide significant. Four associations appeared among migraineurs with aura, two of those with ischemic stroke. Although our population is among the largest with migraine and incident CVD information, these results must be treated with caution, given the limited number of CVD events among women with migraine and the low minor allele frequencies for three of the SNPs

  7. Evolutionary history of mammalian transposons determined by genome-wide defragmentation.

    Directory of Open Access Journals (Sweden)

    Joti Giordano

    2007-07-01

    Full Text Available The constant bombardment of mammalian genomes by transposable elements (TEs has resulted in TEs comprising at least 45% of the human genome. Because of their great age and abundance, TEs are important in comparative phylogenomics. However, estimates of TE age were previously based on divergence from derived consensus sequences or phylogenetic analysis, which can be unreliable, especially for older more diverged elements. Therefore, a novel genome-wide analysis of TE organization and fragmentation was performed to estimate TE age independently of sequence composition and divergence or the assumption of a constant molecular clock. Analysis of TEs in the human genome revealed approximately 600,000 examples where TEs have transposed into and fragmented other TEs, covering >40% of all TEs or approximately 542 Mbp of genomic sequence. The relative age of these TEs over evolutionary time is implicit in their organization, because newer TEs have necessarily transposed into older TEs that were already present. A matrix of the number of times that each TE has transposed into every other TE was constructed, and a novel objective function was developed that derived the chronological order and relative ages of human TEs spanning >100 million years. This method has been used to infer the relative ages across all four major TE classes, including the oldest, most diverged elements. Analysis of DNA transposons over the history of the human genome has revealed the early activity of some MER2 transposons, and the relatively recent activity of MER1 transposons during primate lineages. The TEs from six additional mammalian genomes were defragmented and analyzed. Pairwise comparison of the independent chronological orders of TEs in these mammalian genomes revealed species phylogeny, the fact that transposons shared between genomes are older than species-specific transposons, and a subset of TEs that were potentially active during periods of speciation.

  8. Genome-wide association study to identify the genetic determinants of otitis media susceptibility in childhood.

    Directory of Open Access Journals (Sweden)

    Marie S Rye

    Full Text Available BACKGROUND: Otitis media (OM is a common childhood disease characterised by middle ear inflammation and effusion. Susceptibility to recurrent acute OM (rAOM; ≥ 3 episodes of AOM in 6 months and chronic OM with effusion (COME; MEE ≥ 3 months is 40-70% heritable. Few underlying genes have been identified to date, and no genome-wide association study (GWAS of OM has been reported. METHODS AND FINDINGS: Data for 2,524,817 single nucleotide polymorphisms (SNPs; 535,544 quality-controlled SNPs genotyped by Illumina 660W-Quad; 1,989,273 by imputation were analysed for association with OM in 416 cases and 1,075 controls from the Western Australian Pregnancy Cohort (Raine Study. Logistic regression analyses under an additive model undertaken in GenABEL/ProbABEL adjusting for population substructure using principal components identified SNPs at CAPN14 (rs6755194: OR = 1.90; 95%CI 1.47-2.45; P(adj-PCA = 8.3 × 10(-7 on chromosome 2p23.1 as the top hit, with independent effects (rs1862981: OR = 1.60; 95%CI 1.29-1.99; P(adj-PCA = 2.2 × 10(-5 observed at the adjacent GALNT14 gene. In a gene-based analysis in VEGAS, BPIFA3 (P(Gene = 2 × 10(-5 and BPIFA1 (P(Gene = 1.07 × 10(-4 in the BPIFA gene cluster on chromosome 20q11.21 were the top hits. In all, 32 genomic regions show evidence of association (P(adj-PCA<10(-5 in this GWAS, with pathway analysis showing a connection between top candidates and the TGFβ pathway. However, top and tag-SNP analysis for seven selected candidate genes in this pathway did not replicate in 645 families (793 affected individuals from the Western Australian Family Study of Otitis Media (WAFSOM. Lack of replication may be explained by sample size, difference in OM disease severity between primary and replication cohorts or due to type I error in the primary GWAS. CONCLUSIONS: This first discovery GWAS for an OM phenotype has identified CAPN14 and GALNT14 on chromosome 2p23.1 and the BPIFA gene cluster on chromosome 20q11.21 as

  9. Genome-wide identification of Streptococcus pneumoniae genes essential for bacterial replication during experimental meningitis

    DEFF Research Database (Denmark)

    Molzen, T E; Burghout, P; Bootsma, H J

    2010-01-01

    Meningitis is the most serious of invasive infections caused by the Gram-positive bacterium Streptococcus pneumoniae. Vaccines protect only against a limited number of serotypes, and evolving bacterial resistance to antimicrobials impedes treatment. Further insight into the molecular pathogenesis...... of invasive pneumococcal disease is required in order to enable the development of new or adjunctive treatments and/or pneumococcal vaccines that are efficient across serotypes. We applied genomic array footprinting (GAF) in the search for S. pneumoniae genes that are essential during experimental meningitis...

  10. Nickel-resistance determinants in Acidiphilium sp. PM identified by genome-wide functional screening.

    Directory of Open Access Journals (Sweden)

    Patxi San Martin-Uriz

    Full Text Available Acidiphilium spp. are conspicuous dwellers of acidic, metal-rich environments. Indeed, they are among the most metal-resistant organisms; yet little is known about the mechanisms behind the metal tolerance in this genus. Acidiphilium sp. PM is an environmental isolate from Rio Tinto, an acidic, metal-laden river located in southwestern Spain. The characterization of its metal resistance revealed a remarkable ability to tolerate high Ni concentrations. Here we report the screening of a genomic library of Acidiphilium sp. PM to identify genes involved in Ni resistance. This approach revealed seven different genes conferring Ni resistance to E. coli, two of which form an operon encoding the ATP-dependent protease HslVU (ClpQY. This protease was found to enhance resistance to both Ni and Co in E. coli, a function not previously reported. Other Ni-resistance determinants include genes involved in lipopolysaccharide biosynthesis and the synthesis of branched amino acids. The diversity of molecular functions of the genes recovered in the screening suggests that Ni resistance in Acidiphilium sp. PM probably relies on different molecular mechanisms.

  11. Genome-wide identification of antimicrobial intrinsic resistance determinants in Staphylococcus aureus

    Directory of Open Access Journals (Sweden)

    Martin Vestergaard

    2016-12-01

    Full Text Available The emergence of antimicrobial resistance severely threatens our ability to treat bacterial infections. While acquired resistance has received considerable attention, relatively little is known of intrinsic resistance that allows bacteria to naturally withstand antimicrobials. Gene products that confer intrinsic resistance to antimicrobial agents may be explored for alternative antimicrobial therapies, by potentiating the efficacy of existing antimicrobials. In this study, we identified the intrinsic resistome to a broad spectrum of antimicrobials in the human pathogen, Staphylococcus aureus. We screened the Nebraska Transposon Mutant Library of 1920 single-gene inactivations in S. aureus strain JE2, for increased susceptibility to the anti-staphylococcal antimicrobials (ciprofloxacin, oxacillin, linezolid, fosfomycin, daptomycin, mupirocin, vancomycin and gentamicin. 68 mutants were confirmed by E-test to display at least two-fold increased susceptibility to one or more antimicrobial agents. The majority of the identified genes have not previously been associated with antimicrobial susceptibility in S. aureus. For example, inactivation of genes encoding for subunits of the ATP synthase, atpA, atpB, atpG and atpH, reduced the minimum inhibitory concentration (MIC of gentamicin 16-fold. To elucidate the potential of the screen, we examined treatment efficacy in the Galleria mellonella infection model. Gentamicin efficacy was significantly improved, when treating larvae infected with the atpA mutant compared to wild type cells with gentamicin at a clinically relevant concentration. Our results demonstrate that many gene products contribute to the intrinsic antimicrobial resistance of S. aureus. Knowledge of these intrinsic resistance determinants provides alternative targets for compounds that may potentiate the efficacy of existing antimicrobial agents against this important pathogen.

  12. Genome-wide identification of ampicillin resistance determinants in Enterococcus faecium.

    Directory of Open Access Journals (Sweden)

    Xinglin Zhang

    2012-06-01

    Full Text Available Enterococcus faecium has become a nosocomial pathogen of major importance, causing infections that are difficult to treat owing to its multi-drug resistance. In particular, resistance to the β-lactam antibiotic ampicillin has become ubiquitous among clinical isolates. Mutations in the low-affinity penicillin binding protein PBP5 have previously been shown to be important for ampicillin resistance in E. faecium, but the existence of additional resistance determinants has been suggested. Here, we constructed a high-density transposon mutant library in E. faecium and developed a transposon mutant tracking approach termed Microarray-based Transposon Mapping (M-TraM, leading to the identification of a compendium of E. faecium genes that contribute to ampicillin resistance. These genes are part of the core genome of E. faecium, indicating a high potential for E. faecium to evolve towards β-lactam resistance. To validate the M-TraM results, we adapted a Cre-lox recombination system to construct targeted, markerless mutants in E. faecium. We confirmed the role of four genes in ampicillin resistance by the generation of targeted mutants and further characterized these mutants regarding their resistance to lysozyme. The results revealed that ddcP, a gene predicted to encode a low-molecular-weight penicillin binding protein with D-alanyl-D-alanine carboxypeptidase activity, was essential for high-level ampicillin resistance. Furthermore, deletion of ddcP sensitized E. faecium to lysozyme and abolished membrane-associated D,D-carboxypeptidase activity. This study has led to the development of a broadly applicable platform for functional genomic-based studies in E. faecium, and it provides a new perspective on the genetic basis of ampicillin resistance in this organism.

  13. The role of height-associated loci identified in genome wide association studies in the determination of pediatric stature

    Directory of Open Access Journals (Sweden)

    Frackelton Edward C

    2010-06-01

    Full Text Available Abstract Background Human height is considered highly heritable and correlated with certain disorders, such as type 2 diabetes and cancer. Despite environmental influences, genetic factors are known to play an important role in stature determination. A number of genetic determinants of adult height have already been established through genome wide association studies. Methods To examine 51 single nucleotide polymorphisms (SNPs corresponding to the 46 previously reported genomic loci for height in 8,184 European American children with height measurements. We leveraged genotyping data from our ongoing GWA study of height variation in children in order to query the 51 SNPs in this pediatric cohort. Results Sixteen of these SNPs yielded at least nominally significant association to height, representing fifteen different loci including EFEMP1-PNPT1, GPR126, C6orf173, SPAG17, Histone class 1, HLA class III and GDF5-UQCC. Other loci revealed no evidence for association, including HMGA1 and HMGA2. For the 16 associated variants, the genotype score explained 1.64% of the total variation for height z-score. Conclusion Among 46 loci that have been reported to associate with adult height to date, at least 15 also contribute to the determination of height in childhood.

  14. Genome-Wide Association and Transcriptome Analyses Reveal Candidate Genes Underlying Yield-determining Traits in Brassica napus

    Science.gov (United States)

    Lu, Kun; Peng, Liu; Zhang, Chao; Lu, Junhua; Yang, Bo; Xiao, Zhongchun; Liang, Ying; Xu, Xingfu; Qu, Cunmin; Zhang, Kai; Liu, Liezhao; Zhu, Qinlong; Fu, Minglian; Yuan, Xiaoyan; Li, Jiana

    2017-01-01

    Yield is one of the most important yet complex crop traits. To improve our understanding of the genetic basis of yield establishment, and to identify candidate genes responsible for yield improvement in Brassica napus, we performed genome-wide association studies (GWAS) for seven yield-determining traits [main inflorescence pod number (MIPN), branch pod number (BPN), pod number per plant (PNP), seed number per pod (SPP), thousand seed weight, main inflorescence yield (MIY), and branch yield], using data from 520 diverse B. napus accessions from two different yield environments. In total, we detected 128 significant single nucleotide polymorphisms (SNPs), 93 of which were revealed as novel by integrative analysis. A combination of GWAS and transcriptome sequencing on 21 haplotype blocks from samples pooled by four extremely high-yielding or low-yielding accessions revealed the differential expression of 14 crucial candiate genes (such as Bna.MYB83, Bna.SPL5, and Bna.ROP3) associated with multiple traits or containing multiple SNPs associated with the same trait. Functional annotation and expression pattern analyses further demonstrated that these 14 candiate genes might be important in developmental processes and biomass accumulation, thus affecting the yield establishment of B. napus. These results provide valuable information for understanding the genetic mechanisms underlying the establishment of high yield in B. napus, and lay the foundation for developing high-yielding B. napus varieties. PMID:28261256

  15. Genome-wide association study identifies ABCG2 (BCRP) as an allopurinol transporter and a determinant of drug response

    Science.gov (United States)

    Wen, CC; Yee, SW; Liang, X; Hoffmann, TJ; Kvale, MN; Banda, Y; Jorgenson, E; Schaefer, C; Risch, N; Giacomini, KM

    2015-01-01

    The first-line treatment of hyperuricemia, which causes gout, is allopurinol. The allopurinol response is highly variable, with many users failing to achieve target serum uric acid (SUA) levels. No genome-wide association study (GWAS) has examined the genetic factors affecting allopurinol effectiveness. Using 2,027 subjects in Kaiser Permanente’s Genetic Epidemiology Research on Adult Health and Aging (GERA) Cohort, we conducted a GWAS of allopurinol-related SUA reduction, first in the largest ethnic group, non-Hispanic white (NHW) subjects, and then in a stratified transethnic meta-analysis. ABCG2, encoding the efflux pump BCRP, was associated with SUA reduction in NHW subjects (P = 2 × 10−8), and a missense allele (rs2231142) was associated with a reduced response (P = 3 × 10−7) in the meta-analysis. Isotopic uptake studies in cells demonstrated that BCRP transports allopurinol and genetic variants in ABCG2 affect this transport. Collectively, this first GWAS of allopurinol response demonstrates that ABCG2 is a key determinant of response to the drug. PMID:25676789

  16. Genome-wide mutagenesis of Xanthomonas axonopodis pv. citri reveals novel genetic determinants and regulation mechanisms of biofilm formation.

    Directory of Open Access Journals (Sweden)

    Jinyun Li

    Full Text Available Xanthomonas axonopodis pv. citri (Xac causes citrus canker disease, a major threat to citrus production worldwide. Accumulating evidence suggests that the formation of biofilms on citrus leaves plays an important role in the epiphytic survival of this pathogen prior to the development of canker disease. However, the process of Xac biofilm formation is poorly understood. Here, we report a genome-scale study of Xac biofilm formation in which we identified 92 genes, including 33 novel genes involved in biofilm formation and 7 previously characterized genes, colR, fhaB, fliC, galU, gumD, wxacO, and rbfC, known to be important for Xac biofilm formation. In addition, 52 other genes with defined or putative functions in biofilm formation were identified, even though they had not previously reported been to be associated with biofilm formation. The 92 genes were isolated from 292 biofilm-defective mutants following a screen of a transposon insertion library containing 22,000 Xac strain 306 mutants. Further analyses indicated that 16 of the novel genes are involved in the production of extracellular polysaccharide (EPS and/or lipopolysaccharide (LPS, 7 genes are involved in signaling and regulatory pathways, and 5 genes have unknown roles in biofilm formation. Furthermore, two novel genes, XAC0482, encoding a haloacid dehalogenase-like phosphatase, and XAC0494 (designated as rbfS, encoding a two-component sensor protein, were confirmed to be biofilm-related genes through complementation assays. Our data demonstrate that the formation of mature biofilm requires EPS, LPS, both flagellum-dependent and flagellum-independent cell motility, secreted proteins and extracellular DNA. Additionally, multiple signaling pathways are involved in Xac biofilm formation. This work is the first report on a genome-wide scale of the genetic processes of biofilm formation in plant pathogenic bacteria. The report provides significant new information about the genetic

  17. Genome-wide DNA methylation maps in follicular lymphoma cells determined by methylation-enriched bisulfite sequencing.

    Directory of Open Access Journals (Sweden)

    Jeong-Hyeon Choi

    Full Text Available BACKGROUND: Follicular lymphoma (FL is a form of non-Hodgkin's lymphoma (NHL that arises from germinal center (GC B-cells. Despite the significant advances in immunotherapy, FL is still not curable. Beyond transcriptional profiling and genomics datasets, there currently is no epigenome-scale dataset or integrative biology approach that can adequately model this disease and therefore identify novel mechanisms and targets for successful prevention and treatment of FL. METHODOLOGY/PRINCIPAL FINDINGS: We performed methylation-enriched genome-wide bisulfite sequencing of FL cells and normal CD19(+ B-cells using 454 sequencing technology. The methylated DNA fragments were enriched with methyl-binding proteins, treated with bisulfite, and sequenced using the Roche-454 GS FLX sequencer. The total number of bases covered in the human genome was 18.2 and 49.3 million including 726,003 and 1.3 million CpGs in FL and CD19(+ B-cells, respectively. 11,971 and 7,882 methylated regions of interest (MRIs were identified respectively. The genome-wide distribution of these MRIs displayed significant differences between FL and normal B-cells. A reverse trend in the distribution of MRIs between the promoter and the gene body was observed in FL and CD19(+ B-cells. The MRIs identified in FL cells also correlated well with transcriptomic data and ChIP-on-Chip analyses of genome-wide histone modifications such as tri-methyl-H3K27, and tri-methyl-H3K4, indicating a concerted epigenetic alteration in FL cells. CONCLUSIONS/SIGNIFICANCE: This study is the first to provide a large scale and comprehensive analysis of the DNA methylation sequence composition and distribution in the FL epigenome. These integrated approaches have led to the discovery of novel and frequent targets of aberrant epigenetic alterations. The genome-wide bisulfite sequencing approach developed here can be a useful tool for profiling DNA methylation in clinical samples.

  18. Genome-wide RNAi screen reveals the E3 SUMO-protein ligase gene SIZ1 as a novel determinant of furfural tolerance in Saccharomyces cerevisiae

    OpenAIRE

    Xiao, Han; Zhao, Huimin

    2014-01-01

    Background Furfural is a major growth inhibitor in lignocellulosic hydrolysates and improving furfural tolerance of microorganisms is critical for rapid and efficient fermentation of lignocellulosic biomass. In this study, we used the RNAi-Assisted Genome Evolution (RAGE) method to select for furfural resistant mutants of Saccharomyces cerevisiae, and identified a new determinant of furfural tolerance. Results By using a genome-wide RNAi (RNA-interference) screen in S. cerevisiae for genes in...

  19. Integrative genome-wide analysis of the determinants of RNA splicing in kidney renal clear cell carcinoma.

    Science.gov (United States)

    Lehmann, Kjong-Van; Kahles, André; Kandoth, Cyriac; Lee, William; Schultz, Nikolaus; Stegle, Oliver; Rätsch, Gunnar

    2015-01-01

    We present a genome-wide analysis of splicing patterns of 282 kidney renal clear cell carcinoma patients in which we integrate data from whole-exome sequencing of tumor and normal samples, RNA-seq and copy number variation. We proposed a scoring mechanism to compare splicing patterns in tumor samples to normal samples in order to rank and detect tumor-specific isoforms that have a potential for new biomarkers. We identified a subset of genes that show introns only observable in tumor but not in normal samples, ENCODE and GEUVADIS samples. In order to improve our understanding of the underlying genetic mechanisms of splicing variation we performed a large-scale association analysis to find links between somatic or germline variants with alternative splicing events. We identified 915 cis- and trans-splicing quantitative trait loci (sQTL) associated with changes in splicing patterns. Some of these sQTL have previously been associated with being susceptibility loci for cancer and other diseases. Our analysis also allowed us to identify the function of several COSMIC variants showing significant association with changes in alternative splicing. This demonstrates the potential significance of variants affecting alternative splicing events and yields insights into the mechanisms related to an array of disease phenotypes.

  20. Genome-wide association study in RPGRIP1(-/-) dogs identifies a modifier locus that determines the onset of retinal degeneration.

    Science.gov (United States)

    Miyadera, Keiko; Kato, Kumiko; Boursnell, Mike; Mellersh, Cathryn S; Sargan, David R

    2012-02-01

    Cone-rod dystrophy (CRD) is a form of inherited retinal degeneration (RD) causing blindness in man as well as in several breeds of dog. Previously, a 44 bp insertion in RPGRIP1 (retinitis pigmentosa GTPase regulator interacting protein-1) was associated with a recessive early-onset CRD (cone-rod dystrophy 1, cord1) in a Miniature longhaired dachshund (MLHD) research colony. Yet in the MLHD pet population, extensive range of the onset age has been observed among RD cases, with some RPGRIP1(-/-) dogs lacking obvious clinical signs. Phenotypic variation has been known in human homologous diseases, including retinitis pigmentosa and Leber congenital amaurosis, indicating possible involvement of modifiers. To explore additional genetic loci associated with the phenotypic variation observed in MLHDs, a genome-wide association study was carried out using Canine SNP20 arrays in 83 RPGRIP1(-/-) MLHDs with variable ages of onset or no clinical abnormality. Using these samples, comparison of 31 early-onset RD cases against 49 controls (15 late-onset RD and 34 normal dogs combined) identified a strong association (P = 5.05 × 10(-13)) at a single locus on canine chromosome 15. At this locus, the majority of early-onset RD cases but few of the controls were homozygous for a 1.49 Mb interval containing ~11 genes. We conclude that homozygosity at both RPGRIP1 and the newly mapped second locus is necessary to develop early-onset RD, whereas RPGRIP1(-/-) alone leads to late-onset RD or no apparent clinical phenotype. This study establishes a unique model of canine RD requiring homozygous mutations at two distinct genetic loci for the manifestation of early-onset RD.

  1. Streptococcus pneumoniae R6 interspecies transformation: genetic analysis of penicillin resistance determinants and genome-wide recombination events.

    Science.gov (United States)

    Sauerbier, Julia; Maurer, Patrick; Rieger, Martin; Hakenbeck, Regine

    2012-11-01

    Interspecies gene transfer has been implicated as the major driving force for the evolution of penicillin resistance in Streptococcus pneumoniae. Genomic alterations of S. pneumoniae R6 introduced during four successive transformations with DNA of the high-level penicillin-resistant Streptococcus mitis B6 with beta-lactam selection have now been determined and the contribution of genes to high resistance levels was analysed genetically. Essential for high level resistance to penicillins of the transformant CCCB was the combination of murM(B) (6) and the 3' region of pbp2b(B) (6) . Sequences of both genes were detected in clinical isolates of S. pneumoniae, confirming the participation of S. mitis in the global gene pool of beta-lactam resistance determinants. The S. mitis PBP1b gene which contains an authentic stop codon within the transpeptidase domain is now shown to contribute only marginal to resistance, but it is possible that the presence of its transglycosylase domain is important in the context of cognate PBPs. The genome sequence of CCCB revealed 36 recombination events, including deletion and acquisition of genes and repeat elements. A total of 78 genes were affected representing 67 kb or 3.3% of the genome, documenting extensive alterations scattered throughout the genome.

  2. Experimental Genome-Wide Determination of RNA Polyadenylation in Chlamydomonas reinhardtii.

    Directory of Open Access Journals (Sweden)

    Stephen A Bell

    Full Text Available The polyadenylation of RNA is a near-universal feature of RNA metabolism in eukaryotes. This process has been studied in the model alga Chlamydomonas reinhardtii using low-throughput (gene-by-gene and high-throughput (transcriptome sequencing approaches that recovered poly(A-containing sequence tags which revealed interesting features of this critical process in Chlamydomonas. In this study, RNA polyadenylation has been studied using the so-called Poly(A Tag Sequencing (PAT-Seq approach. Specifically, PAT-Seq was used to study poly(A site choice in cultures grown in four different media types-Tris-Phosphate (TP, Tris-Phosphate-Acetate (TAP, High-Salt (HS, and High-Salt-Acetate (HAS. The results indicate that: 1. As reported before, the motif UGUAA is the primary, and perhaps sole, cis-element that guides mRNA polyadenylation in the nucleus; 2. The scope of alternative polyadenylation events with the potential to change the coding sequences of mRNAs is limited; 3. Changes in poly(A site choice in cultures grown in the different media types are very few in number and do not affect protein-coding potential; 4. Organellar polyadenylation is considerable and affects primarily ribosomal RNAs in the chloroplast and mitochondria; and 5. Organellar RNA polyadenylation is a dynamic process that is affected by the different media types used for cell growth.

  3. Experimental Genome-Wide Determination of RNA Polyadenylation in Chlamydomonas reinhardtii.

    Science.gov (United States)

    Bell, Stephen A; Shen, Chi; Brown, Alishea; Hunt, Arthur G

    2016-01-01

    The polyadenylation of RNA is a near-universal feature of RNA metabolism in eukaryotes. This process has been studied in the model alga Chlamydomonas reinhardtii using low-throughput (gene-by-gene) and high-throughput (transcriptome sequencing) approaches that recovered poly(A)-containing sequence tags which revealed interesting features of this critical process in Chlamydomonas. In this study, RNA polyadenylation has been studied using the so-called Poly(A) Tag Sequencing (PAT-Seq) approach. Specifically, PAT-Seq was used to study poly(A) site choice in cultures grown in four different media types-Tris-Phosphate (TP), Tris-Phosphate-Acetate (TAP), High-Salt (HS), and High-Salt-Acetate (HAS). The results indicate that: 1. As reported before, the motif UGUAA is the primary, and perhaps sole, cis-element that guides mRNA polyadenylation in the nucleus; 2. The scope of alternative polyadenylation events with the potential to change the coding sequences of mRNAs is limited; 3. Changes in poly(A) site choice in cultures grown in the different media types are very few in number and do not affect protein-coding potential; 4. Organellar polyadenylation is considerable and affects primarily ribosomal RNAs in the chloroplast and mitochondria; and 5. Organellar RNA polyadenylation is a dynamic process that is affected by the different media types used for cell growth.

  4. Genome-wide association studies identify heavy metal ATPase3 as the primary determinant of natural variation in leaf cadmium in Arabidopsis thaliana.

    Directory of Open Access Journals (Sweden)

    Dai-Yin Chao

    2012-09-01

    Full Text Available Understanding the mechanism of cadmium (Cd accumulation in plants is important to help reduce its potential toxicity to both plants and humans through dietary and environmental exposure. Here, we report on a study to uncover the genetic basis underlying natural variation in Cd accumulation in a world-wide collection of 349 wild collected Arabidopsis thaliana accessions. We identified a 4-fold variation (0.5-2 µg Cd g(-1 dry weight in leaf Cd accumulation when these accessions were grown in a controlled common garden. By combining genome-wide association mapping, linkage mapping in an experimental F2 population, and transgenic complementation, we reveal that HMA3 is the sole major locus responsible for the variation in leaf Cd accumulation we observe in this diverse population of A. thaliana accessions. Analysis of the predicted amino acid sequence of HMA3 from 149 A. thaliana accessions reveals the existence of 10 major natural protein haplotypes. Association of these haplotypes with leaf Cd accumulation and genetics complementation experiments indicate that 5 of these haplotypes are active and 5 are inactive, and that elevated leaf Cd accumulation is associated with the reduced function of HMA3 caused by a nonsense mutation and polymorphisms that change two specific amino acids.

  5. Genome-wide association study for refractive astigmatism reveals genetic co-determination with spherical equivalent refractive error: the CREAM consortium

    NARCIS (Netherlands)

    Q. Li (Qing); R. Wojciechowski (Robert); C.L. Simpson (Claire); P.G. Hysi (Pirro); V.J.M. Verhoeven (Virginie); M.K. Ikram (Kamran); R. Höhn (René); V. Vitart (Veronique); A.W. Hewit (Alex); K. Oexle (Konrad); K.M. Makela (Kari Matti); S. MacGregor (Stuart); M. Pirastu (Mario); Q. Fan (Qiao); C-Y. Cheng (Ching-Yu); B. St Pourcain (Beate); G. Mcmahon (George); J.P. Kemp (John); K. Northstone (Kate); J.S. Rahi (Jugnoo); P. Cumberland (Phillippa); N.G. Martin (Nicholas); P.G. Sanfilippo (Paul G.); Y. Lu (Yi); Y. Wang (Ying); C. Hayward (Caroline); O. Polasek (Ozren); H. Campbell (Harry); G. Bencic (Goran); A. Wright (Alan); J. Wedenoja (Juho); T. Zeller (Tanja); A. Schillert (Arne); A. Mirshahi (Alireza); K.J. Lackner (Karl); S.P. Yip (Shea Ping); M.K.H. Yap (Maurice K. H.); J.S. Ried (Janina); C. Gieger (Christian); D. Murgia (Daniela); J.F. Wilson (James F); B.W. Fleck (Brian W.); S. Yazar (Seyhan); J.R. Vingerling (Hans); A. Hofman (Albert); A.G. Uitterlinden (André); F. Rivadeneira Ramirez (Fernando); N. Amin (Najaf); L.C. Karssen (Lennart); B.A. Oostra (Ben); X. Zhou (Xin); Y.Y. Teo (Yik Ying); E.S. Tai (Shyong); E.N. Vithana (Eranga); V.A. Barathi (Veluchamy); Y. Zheng (Yingfeng); R. Siantar (Rosalynn); K. Neelam (Kumari); Y. Shin (Youchan); J. Lam (Janice); E. Yonova-Doing (Ekaterina); C. Venturini (Cristina); S.M. Hosseini (S Mohsen); H.-S. Wong (Hoi-Suen); T. Lehtimäki (Terho); M. Kähönen (Mika); O. Raitakari (Olli); N. Timpson (Nicholas); D.M. Evans (David M.); C.C. Khor; T. Aung (Tin); T.L. Young (Terri); P. Mitchell (Paul); B.E.K. Klein (Barbara); C.M. van Duijn (Cock); T. Meitinger (Thomas); J.B. Jonas (Jost B.); P.N. Baird (Paul); D.A. Mackey (David); T.Y. Wong (Tien); S-M. Saw (Seang-Mei); O. Pärssinen (Olavi); D.E. Stambolian (Dwight); C.J. Hammond (Christopher); C.C.W. Klaver (Caroline); C. Williams (Cathy); A.D. Paterson (Andrew); J.E. Bailey-Wilson (Joan E.); J. Guggenheim (Jean)

    2015-01-01

    textabstractTo identify genetic variants associated with refractive astigmatism in the general population, meta-analyses of genome-wide association studies were performed for: White Europeans aged at least 25 years (20 cohorts, N = 31,968); Asian subjects aged at least 25 years (7 cohorts, N = 9,295

  6. Genome-wide meta-analysis identifies regions on 7p21 (AHR and 15q24 (CYP1A2 as determinants of habitual caffeine consumption.

    Directory of Open Access Journals (Sweden)

    Marilyn C Cornelis

    2011-04-01

    Full Text Available We report the first genome-wide association study of habitual caffeine intake. We included 47,341 individuals of European descent based on five population-based studies within the United States. In a meta-analysis adjusted for age, sex, smoking, and eigenvectors of population variation, two loci achieved genome-wide significance: 7p21 (P = 2.4 × 10(-19, near AHR, and 15q24 (P = 5.2 × 10(-14, between CYP1A1 and CYP1A2. Both the AHR and CYP1A2 genes are biologically plausible candidates as CYP1A2 metabolizes caffeine and AHR regulates CYP1A2.

  7. Profiling genome-wide DNA methylation.

    Science.gov (United States)

    Yong, Wai-Shin; Hsu, Fei-Man; Chen, Pao-Yang

    2016-01-01

    DNA methylation is an epigenetic modification that plays an important role in regulating gene expression and therefore a broad range of biological processes and diseases. DNA methylation is tissue-specific, dynamic, sequence-context-dependent and trans-generationally heritable, and these complex patterns of methylation highlight the significance of profiling DNA methylation to answer biological questions. In this review, we surveyed major methylation assays, along with comparisons and biological examples, to provide an overview of DNA methylation profiling techniques. The advances in microarray and sequencing technologies make genome-wide profiling possible at a single-nucleotide or even a single-cell resolution. These profiling approaches vary in many aspects, such as DNA input, resolution, genomic region coverage, and bioinformatics analysis, and selecting a feasible method requires knowledge of these methods. We first introduce the biological background of DNA methylation and its pattern in plants, animals and fungi. We present an overview of major experimental approaches to profiling genome-wide DNA methylation and hydroxymethylation and then extend to the single-cell methylome. To evaluate these methods, we outline their strengths and weaknesses and perform comparisons across the different platforms. Due to the increasing need to compute high-throughput epigenomic data, we interrogate the computational pipeline for bisulfite sequencing data and also discuss the concept of identifying differentially methylated regions (DMRs). This review summarizes the experimental and computational concepts for profiling genome-wide DNA methylation, followed by biological examples. Overall, this review provides researchers useful guidance for the selection of a profiling method suited to specific research questions.

  8. Genome-wide identification of enhancer elements.

    Science.gov (United States)

    Tulin, Sarah; Barsi, Julius C; Bocconcelli, Carlo; Smith, Joel

    2016-01-01

    We present a prospective genome-wide regulatory element database for the sea urchin embryo and the modified chromosome capture-related methodology used to create it. The method we developed is termed GRIP-seq for genome-wide regulatory element immunoprecipitation and combines features of chromosome conformation capture, chromatin immunoprecipitation, and paired-end next-generation sequencing with molecular steps that enrich for active cis-regulatory elements associated with basal transcriptional machinery. The first GRIP-seq database, available to the community, comes from S. purpuratus 24 hpf embryos and takes advantage of the extremely well-characterized cis-regulatory elements in this system for validation. In addition, using the GRIP-seq database, we identify and experimentally validate a novel, intronic cis-regulatory element at the onecut locus. We find GRIP-seq signal sensitively identifies active cis-regulatory elements with a high signal-to-noise ratio for both distal and intronic elements. This promising GRIP-seq protocol has the potential to address a rate-limiting step in resolving comprehensive, predictive network models in all systems.

  9. Analysis of genome-wide association studies of Alzheimer disease and of Parkinson disease to determine if these 2 diseases share a common genetic risk.

    Science.gov (United States)

    Moskvina, Valentina; Harold, Denise; Russo, GianCarlo; Vedernikov, Alexey; Sharma, Manu; Saad, Mohamed; Holmans, Peter; Bras, Jose M; Bettella, Francesco; Keller, Margaux F; Nicolaou, Nayia; Simón-Sánchez, Javier; Gibbs, J Raphael; Schulte, Claudia; Durr, Alexandra; Guerreiro, Rita; Hernandez, Dena; Brice, Alexis; Stefánsson, Hreinn; Majamaa, Kari; Gasser, Thomas; Heutink, Peter; Wood, Nick; Martinez, Maria; Singleton, Andrew B; Nalls, Michael A; Hardy, John; Owen, Michael J; O'Donovan, Michael C; Williams, Julie; Morris, Huw R; Williams, Nigel M

    2013-10-01

    Despite Alzheimer disease (AD) and Parkinson disease (PD) being clinically distinct entities, there is a possibility of a pathological overlap, with some genome-wide association (GWA) studies suggesting that the 2 diseases represent a biological continuum. The application of GWA studies to idiopathic forms of AD and PD have identified a number of loci that contain genetic variants that increase the risk of these disorders. To assess the genetic overlap between PD and AD by testing for the presence of potentially pleiotropic loci in 2 recent GWA studies of PD and AD. Combined GWA analysis. Data sets from the United Kingdom, Germany, France, and the United States. Thousands of patients with AD or PD and their controls. Meta-analysis of GWA studies of AD and PD. To identify evidence for potentially pleiotropic alleles that increased the risk for both PD and AD, we performed a combined PD-AD meta-analysis and compared the results with those obtained in the primary GWA studies.We also tested for a net effect of potentially polygenic alleles that were shared by both disorders by performing a polygenic score analysis. Finally, we also performed a gene-based association analysis that was aimed at detecting genes that harbor multiple disease-causing single-nucleotide polymorphisms, some of which confer a risk of PD and some a risk of AD. Detailed interrogation of the single-nucleotide polymorphism, polygenic, and gene-based analyses resulted in no significant evidence that supported the presence of loci that increase the risk of both PD and AD. Our findings therefore imply that loci that increase the risk of both PD and AD are not widespread and that the pathological overlap could instead be “downstream” of the primary susceptibility genes that increase the risk of each disease.

  10. Determination of Genetic Structure and Signatures of Selection in Three Strains of Tanzania Shorthorn Zebu, Boran and Friesian Cattle by Genome-Wide SNP Analyses

    Science.gov (United States)

    Msalya, George; Kim, Eui-Soo; Laisser, Emmanuel L. K.; Kipanyula, Maulilio J.; Karimuribo, Esron D.; Kusiluka, Lughano J. M.; Chenyambuga, Sebastian W.; Rothschild, Max F.

    2017-01-01

    Background More than 90 percent of cattle in Tanzania belong to the indigenous Tanzania Short Horn Zebu (TSZ) population which has been classified into 12 strains based on historical evidence, morphological characteristics, and geographic distribution. However, specific genetic information of each TSZ population has been lacking and has caused difficulties in designing programs such as selection, crossbreeding, breed improvement or conservation. This study was designed to evaluate the genetic structure, assess genetic relationships, and to identify signatures of selection among cattle of Tanzania with the main goal of understanding genetic relationship, variation and uniqueness among them. Methodology/Principal findings The Illumina Bos indicus SNP 80K BeadChip was used to genotype genome wide SNPs in 168 DNA samples obtained from three strains of TSZ cattle namely Maasai, Tarime and Sukuma as well as two comparative breeds; Boran and Friesian. Population structure and signatures of selection were examined using principal component analysis (PCA), admixture analysis, pairwise distances (FST), integrated haplotype score (iHS), identical by state (IBS) and runs of homozygosity (ROH). There was a low level of inbreeding (F~0.01) in the TSZ population compared to the Boran and Friesian breeds. The analyses of FST, IBS and admixture identified no considerable differentiation between TSZ trains. Importantly, common ancestry in Boran and TSZ were revealed based on admixture and IBD, implying gene flow between two populations. In addition, Friesian ancestry was found in Boran. A few common significant iHS were detected, which may reflect influence of recent selection in each breed or strain. Conclusions Population admixture and selection signatures could be applied to develop conservation plan of TSZ cattle as well as future breeding programs in East African cattle. PMID:28129396

  11. Genome-wide mapping of DNA strand breaks.

    Directory of Open Access Journals (Sweden)

    Frédéric Leduc

    Full Text Available Determination of cellular DNA damage has so far been limited to global assessment of genome integrity whereas nucleotide-level mapping has been restricted to specific loci by the use of specific primers. Therefore, only limited DNA sequences can be studied and novel regions of genomic instability can hardly be discovered. Using a well-characterized yeast model, we describe a straightforward strategy to map genome-wide DNA strand breaks without compromising nucleotide-level resolution. This technique, termed "damaged DNA immunoprecipitation" (dDIP, uses immunoprecipitation and the terminal deoxynucleotidyl transferase-mediated dUTP-biotin end-labeling (TUNEL to capture DNA at break sites. When used in combination with microarray or next-generation sequencing technologies, dDIP will allow researchers to map genome-wide DNA strand breaks as well as other types of DNA damage and to establish a clear profiling of altered genes and/or intergenic sequences in various experimental conditions. This mapping technique could find several applications for instance in the study of aging, genotoxic drug screening, cancer, meiosis, radiation and oxidative DNA damage.

  12. Power analysis for genome-wide association studies

    Directory of Open Access Journals (Sweden)

    Klein Robert J

    2007-08-01

    Full Text Available Abstract Background Genome-wide association studies are a promising new tool for deciphering the genetics of complex diseases. To choose the proper sample size and genotyping platform for such studies, power calculations that take into account genetic model, tag SNP selection, and the population of interest are required. Results The power of genome-wide association studies can be computed using a set of tag SNPs and a large number of genotyped SNPs in a representative population, such as available through the HapMap project. As expected, power increases with increasing sample size and effect size. Power also depends on the tag SNPs selected. In some cases, more power is obtained by genotyping more individuals at fewer SNPs than fewer individuals at more SNPs. Conclusion Genome-wide association studies should be designed thoughtfully, with the choice of genotyping platform and sample size being determined from careful power calculations.

  13. Sexually dimorphic genome-wide binding of retinoid X receptor alpha (RXRα) determines male-female differences in the expression of hepatic lipid processing genes in mice.

    Science.gov (United States)

    Kosters, Astrid; Sun, Deqiang; Wu, Hao; Tian, Feng; Felix, Julio C; Li, Wei; Karpen, Saul J

    2013-01-01

    Many hepatic functions including lipid metabolism, drug metabolism, and inflammatory responses are regulated in a sex-specific manner due to distinct patterns of hepatic gene expression between males and females. Regulation for the majority of these genes is under control of Nuclear Receptors (NRs). Retinoid X Receptor alpha (RXRα) is an obligate partner for multiple NRs and considered a master regulator of hepatic gene expression, yet the full extent of RXRα chromatin binding in male and female livers is unclear. ChIP-Seq analysis of RXRα and RNA Polymerase2 (Pol2) binding was performed livers of both genders and combined with microarray analysis. Mice were gavage-fed with the RXR ligand LG268 for 5 days (30 mg/kg/day) and RXRα-binding and RNA levels were determined by ChIP-qPCR and qPCR, respectively. ChIP-Seq revealed 47,845 (male) and 46,877 (female) RXRα binding sites (BS), associated with ∼12,700 unique genes in livers of both genders, with 91% shared between sexes. RXRα-binding showed significant enrichment for 2227 and 1498 unique genes in male and female livers, respectively. Correlating RXRα binding strength with Pol2-binding revealed 44 genes being male-dominant and 43 female-dominant, many previously unknown to be sexually-dimorphic. Surprisingly, genes fundamental to lipid metabolism, including Scd1, Fasn, Elovl6, and Pnpla3-implicated in Fatty Liver Disease pathogenesis, were predominant in females. RXRα activation using LG268 confirmed RXRα-binding was 2-3 fold increased in female livers at multiple newly identified RXRα BS including for Pnpla3 and Elovl6, with corresponding ∼10-fold and ∼2-fold increases in Pnpla3 and Elovl6 RNA respectively in LG268-treated female livers, supporting a role for RXRα regulation of sexually-dimorphic responses for these genes. RXRα appears to be one of the most widely distributed transcriptional regulators in mouse liver and is engaged in determining sexually-dimorphic expression of key lipid

  14. Inbreeding in genome-wide selection

    NARCIS (Netherlands)

    Daetwyler, H.D.; Villanueva, B.; Bijma, P.; Woolliams, J.A.

    2007-01-01

    Traditional selection methods, such as sib and best linear unbiased prediction (BLUP) selection, which increased genetic gain by increasing accuracy of evaluation have also led to an increased rate of inbreeding per generation (¿FG). This is not necessarily the case with genome-wide selection, which

  15. Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis.

    Directory of Open Access Journals (Sweden)

    Eleanor Wheeler

    2017-09-01

    Full Text Available Glycated hemoglobin (HbA1c is used to diagnose type 2 diabetes (T2D and assess glycemic control in patients with diabetes. Previous genome-wide association studies (GWAS have identified 18 HbA1c-associated genetic variants. These variants proved to be classifiable by their likely biological action as erythrocytic (also associated with erythrocyte traits or glycemic (associated with other glucose-related traits. In this study, we tested the hypotheses that, in a very large scale GWAS, we would identify more genetic variants associated with HbA1c and that HbA1c variants implicated in erythrocytic biology would affect the diagnostic accuracy of HbA1c. We therefore expanded the number of HbA1c-associated loci and tested the effect of genetic risk-scores comprised of erythrocytic or glycemic variants on incident diabetes prediction and on prevalent diabetes screening performance. Throughout this multiancestry study, we kept a focus on interancestry differences in HbA1c genetics performance that might influence race-ancestry differences in health outcomes.Using genome-wide association meta-analyses in up to 159,940 individuals from 82 cohorts of European, African, East Asian, and South Asian ancestry, we identified 60 common genetic variants associated with HbA1c. We classified variants as implicated in glycemic, erythrocytic, or unclassified biology and tested whether additive genetic scores of erythrocytic variants (GS-E or glycemic variants (GS-G were associated with higher T2D incidence in multiethnic longitudinal cohorts (N = 33,241. Nineteen glycemic and 22 erythrocytic variants were associated with HbA1c at genome-wide significance. GS-G was associated with higher T2D risk (incidence OR = 1.05, 95% CI 1.04-1.06, per HbA1c-raising allele, p = 3 × 10-29; whereas GS-E was not (OR = 1.00, 95% CI 0.99-1.01, p = 0.60. In Europeans and Asians, erythrocytic variants in aggregate had only modest effects on the diagnostic accuracy of HbA1c. Yet, in

  16. Genome wide selection in Citrus breeding.

    Science.gov (United States)

    Gois, I B; Borém, A; Cristofani-Yaly, M; de Resende, M D V; Azevedo, C F; Bastianel, M; Novelli, V M; Machado, M A

    2016-10-17

    Genome wide selection (GWS) is essential for the genetic improvement of perennial species such as Citrus because of its ability to increase gain per unit time and to enable the efficient selection of characteristics with low heritability. This study assessed GWS efficiency in a population of Citrus and compared it with selection based on phenotypic data. A total of 180 individual trees from a cross between Pera sweet orange (Citrus sinensis Osbeck) and Murcott tangor (Citrus sinensis Osbeck x Citrus reticulata Blanco) were evaluated for 10 characteristics related to fruit quality. The hybrids were genotyped using 5287 DArT_seq(TM) (diversity arrays technology) molecular markers and their effects on phenotypes were predicted using the random regression - best linear unbiased predictor (rr-BLUP) method. The predictive ability, prediction bias, and accuracy of GWS were estimated to verify its effectiveness for phenotype prediction. The proportion of genetic variance explained by the markers was also computed. The heritability of the traits, as determined by markers, was 16-28%. The predictive ability of these markers ranged from 0.53 to 0.64, and the regression coefficients between predicted and observed phenotypes were close to unity. Over 35% of the genetic variance was accounted for by the markers. Accuracy estimates with GWS were lower than those obtained by phenotypic analysis; however, GWS was superior in terms of genetic gain per unit time. Thus, GWS may be useful for Citrus breeding as it can predict phenotypes early and accurately, and reduce the length of the selection cycle. This study demonstrates the feasibility of genomic selection in Citrus.

  17. Genome wide copy number analysis of single cells

    Science.gov (United States)

    Baslan, Timour; Kendall, Jude; Rodgers, Linda; Cox, Hilary; Riggs, Mike; Stepansky, Asya; Troge, Jennifer; Ravi, Kandasamy; Esposito, Diane; Lakshmi, B.; Wigler, Michael; Navin, Nicholas; Hicks, James

    2016-01-01

    Summary Copy number variation (CNV) is increasingly recognized as an important contributor to phenotypic variation in health and disease. Most methods for determining CNV rely on admixtures of cells, where information regarding genetic heterogeneity is lost. Here, we present a protocol that allows for the genome wide copy number analysis of single nuclei isolated from mixed populations of cells. Single nucleus sequencing (SNS), combines flow sorting of single nuclei based on DNA content, whole genome amplification (WGA), followed by next generation sequencing to quantize genomic intervals in a genome wide manner. Multiplexing of single cells is discussed. Additionally, we outline informatic approaches that correct for biases inherent in the WGA procedure and allow for accurate determination of copy number profiles. All together, the protocol takes ~3 days from flow cytometry to sequence-ready DNA libraries. PMID:22555242

  18. Mammalian RNA polymerase II core promoters: insights from genome-wide studies

    DEFF Research Database (Denmark)

    Sandelin, Albin; Carninci, Piero; Lenhard, Boris

    2007-01-01

    The identification and characterization of mammalian core promoters and transcription start sites is a prerequisite to understanding how RNA polymerase II transcription is controlled. New experimental technologies have enabled genome-wide discovery and characterization of core promoters, revealin...

  19. Genome-wide prediction of C. elegans genetic interactions.

    Science.gov (United States)

    Zhong, Weiwei; Sternberg, Paul W

    2006-03-10

    To obtain a global view of functional interactions among genes in a metazoan genome, we computationally integrated interactome data, gene expression data, phenotype data, and functional annotation data from three model organisms-Saccharomyces cerevisiae, Caenorhabditis elegans, and Drosophila melanogaster-and predicted genome-wide genetic interactions in C. elegans. The resulting genetic interaction network (consisting of 18,183 interactions) provides a framework for system-level understanding of gene functions. We experimentally tested the predicted interactions for two human disease-related genes and identified 14 new modifiers.

  20. Genome-wide Analysis of Gene Regulation

    DEFF Research Database (Denmark)

    Chen, Yun

    cells are capable of regulating their gene expression, so that each cell can only express a particular set of genes yielding limited numbers of proteins with specialized functions. Therefore a rigid control of differential gene expression is necessary for cellular diversity. On the other hand, aberrant...... gene regulation will disrupt the cell’s fundamental processes, which in turn can cause disease. Hence, understanding gene regulation is essential for deciphering the code of life. Along with the development of high throughput sequencing (HTS) technology and the subsequent large-scale data analysis......, genome-wide assays have increased our understanding of gene regulation significantly. This thesis describes the integration and analysis of HTS data across different important aspects of gene regulation. Gene expression can be regulated at different stages when the genetic information is passed from gene...

  1. Genome-wide approaches to understanding human ageing

    Directory of Open Access Journals (Sweden)

    Kaeberlein Matt

    2006-06-01

    Full Text Available Abstract The use of genomic technologies in biogerontology has the potential to greatly enhance our understanding of human ageing. High-throughput screens for alleles correlated with survival in long-lived people have uncovered novel genes involved in age-associated disease. Genome-wide longevity studies in simple eukaryotes are identifying evolutionarily conserved pathways that determine longevity. It is hoped that validation of these 'public' aspects of ageing in mice, along with analyses of variation in candidate human ageing genes, will provide targets for future interventions to slow the ageing process and retard the onset of age-associated pathologies.

  2. Genome-Wide Approaches to Drosophila Heart Development

    Directory of Open Access Journals (Sweden)

    Manfred Frasch

    2016-05-01

    Full Text Available The development of the dorsal vessel in Drosophila is one of the first systems in which key mechanisms regulating cardiogenesis have been defined in great detail at the genetic and molecular level. Due to evolutionary conservation, these findings have also provided major inputs into studies of cardiogenesis in vertebrates. Many of the major components that control Drosophila cardiogenesis were discovered based on candidate gene approaches and their functions were defined by employing the outstanding genetic tools and molecular techniques available in this system. More recently, approaches have been taken that aim to interrogate the entire genome in order to identify novel components and describe genomic features that are pertinent to the regulation of heart development. Apart from classical forward genetic screens, the availability of the thoroughly annotated Drosophila genome sequence made new genome-wide approaches possible, which include the generation of massive numbers of RNA interference (RNAi reagents that were used in forward genetic screens, as well as studies of the transcriptomes and proteomes of the developing heart under normal and experimentally manipulated conditions. Moreover, genome-wide chromatin immunoprecipitation experiments have been performed with the aim to define the full set of genomic binding sites of the major cardiogenic transcription factors, their relevant target genes, and a more complete picture of the regulatory network that drives cardiogenesis. This review will give an overview on these genome-wide approaches to Drosophila heart development and on computational analyses of the obtained information that ultimately aim to provide a description of this process at the systems level.

  3. Genome-wide analysis correlates Ayurveda Prakriti.

    Science.gov (United States)

    Govindaraj, Periyasamy; Nizamuddin, Sheikh; Sharath, Anugula; Jyothi, Vuskamalla; Rotti, Harish; Raval, Ritu; Nayak, Jayakrishna; Bhat, Balakrishna K; Prasanna, B V; Shintre, Pooja; Sule, Mayura; Joshi, Kalpana S; Dedge, Amrish P; Bharadwaj, Ramachandra; Gangadharan, G G; Nair, Sreekumaran; Gopinath, Puthiya M; Patwardhan, Bhushan; Kondaiah, Paturu; Satyamoorthy, Kapaettu; Valiathan, Marthanda Varma Sankaran; Thangaraj, Kumarasamy

    2015-10-29

    The practice of Ayurveda, the traditional medicine of India, is based on the concept of three major constitutional types (Vata, Pitta and Kapha) defined as "Prakriti". To the best of our knowledge, no study has convincingly correlated genomic variations with the classification of Prakriti. In the present study, we performed genome-wide SNP (single nucleotide polymorphism) analysis (Affymetrix, 6.0) of 262 well-classified male individuals (after screening 3416 subjects) belonging to three Prakritis. We found 52 SNPs (p ≤ 1 × 10(-5)) were significantly different between Prakritis, without any confounding effect of stratification, after 10(6) permutations. Principal component analysis (PCA) of these SNPs classified 262 individuals into their respective groups (Vata, Pitta and Kapha) irrespective of their ancestry, which represent its power in categorization. We further validated our finding with 297 Indian population samples with known ancestry. Subsequently, we found that PGM1 correlates with phenotype of Pitta as described in the ancient text of Caraka Samhita, suggesting that the phenotypic classification of India's traditional medicine has a genetic basis; and its Prakriti-based practice in vogue for many centuries resonates with personalized medicine.

  4. Layers of epistasis: genome-wide regulatory networks and network approaches to genome-wide association studies

    Science.gov (United States)

    Cowper-Sal·lari, Richard; Cole, Michael D.; Karagas, Margaret R.; Lupien, Mathieu; Moore, Jason H.

    2010-01-01

    The conceptual foundation of the genome-wide association study (GWAS) has advanced unchecked since its conception. A revision might seem premature as the potential of GWAS has not been fully realized. Multiple technical and practical limitations need to be overcome before GWAS can be fairly criticized. But with the completion of hundreds of studies and a deeper understanding of the genetic architecture of disease, warnings are being raised. The results compiled to date indicate that risk-associated variants lie predominantly in non-coding regions of the genome. Additionally, alternative methodologies are uncovering large and heterogeneous sets of rare variants underlying disease. The fear is that, even in its fulfilment, the current GWAS paradigm might be incapable of dissecting all kinds of phenotypes. In the following text we review several initiatives that aim to overcome these limitations. The overarching theme of these studies is the inclusion of biological knowledge to both the analysis and interpretation of genotyping data. GWAS is uninformed of biology by design and although there is some virtue in its simplicity it is also its most conspicuous deficiency. We propose a framework in which to integrate these novel approaches, both empirical and theoretical, in the form of a genome-wide regulatory network (GWRN). By processing experimental data into networks, emerging data types based on chromatin-immunoprecipitation are made computationally tractable. This will give GWAS re-analysis efforts the most current and relevant substrates, and root them firmly on our knowledge of human disease. PMID:21197657

  5. Genome-wide association studies of obesity and metabolic syndrome.

    Science.gov (United States)

    Fall, Tove; Ingelsson, Erik

    2014-01-25

    Until just a few years ago, the genetic determinants of obesity and metabolic syndrome were largely unknown, with the exception of a few forms of monogenic extreme obesity. Since genome-wide association studies (GWAS) became available, large advances have been made. The first single nucleotide polymorphism robustly associated with increased body mass index (BMI) was in 2007 mapped to a gene with for the time unknown function. This gene, now known as fat mass and obesity associated (FTO) has been repeatedly replicated in several ethnicities and is affecting obesity by regulating appetite. Since the first report from a GWAS of obesity, an increasing number of markers have been shown to be associated with BMI, other measures of obesity or fat distribution and metabolic syndrome. This systematic review of obesity GWAS will summarize genome-wide significant findings for obesity and metabolic syndrome and briefly give a few suggestions of what is to be expected in the next few years. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  6. Planning and executing a genome wide association study (GWAS).

    Science.gov (United States)

    Sale, Michèle M; Mychaleckyj, Josyf C; Chen, Wei-Min

    2009-01-01

    In recent years, genome-wide association approaches have proven a powerful and successful strategy to identify genetic contributors to complex traits, including a number of endocrine disorders. Their success has meant that genome wide association studies (GWAS) are fast becoming the default study design for discovery of new genetic variants that influence a clinical trait or phenotype. This chapter focuses on a number of key elements that require consideration for the successful conduct of a GWAS. Although many of the considerations are common to any genetic study, the greater cost, extreme multiple testing, and greater openness to data sharing require specific awareness and planning by investigators. In the section on designing a GWAS, we reflect on ethical considerations, study design, selection of phenotype/s, power considerations, sample tracking and storage issues, and genotyping product selection. During execution, important considerations include DNA quantity and preparation, genotyping methods, quality control checks of genotype data, in silico genotyping (imputation), tests of association, and replication of association signals. Although the field of human genetics is rapidly evolving, recent experiences can help guide an investigator in making practical and methodological choices that will eventually determine the overall quality of GWAS results. Given the investment to recruit patient populations or cohorts that are powered for a GWAS, and the still substantial costs associated with genotyping, it is helpful to be aware of these aspects to maximize the likelihood of success, especially where there is an opportunity for implementing them prospectively.

  7. Genome-Wide Association Study of Coronary Artery Disease

    Directory of Open Access Journals (Sweden)

    Naomi Ogawa

    2010-01-01

    Full Text Available Coronary artery disease (CAD is a multifactorial disease with environmental and genetic determinants. The genetic determinants of CAD have previously been explored by the candidate gene approach. Recently, the data from the International HapMap Project and the development of dense genotyping chips have enabled us to perform genome-wide association studies (GWAS on a large number of subjects without bias towards any particular candidate genes. In 2007, three chip-based GWAS simultaneously revealed the significant association between common variants on chromosome 9p21 and CAD. This association was replicated among other ethnic groups and also in a meta-analysis. Further investigations have detected several other candidate loci associated with CAD. The chip-based GWAS approach has identified novel and unbiased genetic determinants of CAD and these insights provide the important direction to better understand the pathogenesis of CAD and to develop new and improved preventive measures and treatments for CAD.

  8. Chronic Periodontitis Genome-wide Association Study in the Hispanic Community Health Study / Study of Latinos.

    Science.gov (United States)

    Sanders, A E; Sofer, T; Wong, Q; Kerr, K F; Agler, C; Shaffer, J R; Beck, J D; Offenbacher, S; Salazar, C R; North, K E; Marazita, M L; Laurie, C C; Singer, R H; Cai, J; Finlayson, T L; Divaris, K

    2017-01-01

    Chronic periodontitis (CP) has a genetic component, particularly its severe forms. Evidence from genome-wide association studies (GWASs) has highlighted several potential novel loci. Here, the authors report the first GWAS of CP among a large community-based sample of Hispanics/Latinos. The authors interrogated a quantitative trait of CP (mean interproximal clinical attachment level determined by full-mouth periodontal examinations) among 10,935 adult participants (mean age: 45 y, range: 18 to 76 y) from the Hispanic Community Health Study / Study of Latinos. Genotyping was done with a custom Illumina Omni2.5M array, and imputation to approximately 20 million single-nucleotide polymorphisms was based on the 1000 Genomes Project phase 1 reference panel. Analyses were based on linear mixed models adjusting for sex, age, study design features, ancestry, and kinship and employed a conventional P evidence of association ( P based sample of Hispanic/Latinos. It identified a genome-wide significant locus that was independently replicated in an African-American population. Identifying this genetic marker offers direction for interrogation in subsequent genomic and experimental studies of CP.

  9. Genome-wide association studies in asthma: progress and pitfalls

    Directory of Open Access Journals (Sweden)

    March ME

    2015-01-01

    Full Text Available Michael E March,1 Patrick MA Sleiman,1,2 Hakon Hakonarson1,2 1Center for Applied Genomics, Children's Hospital of Philadelphia Research Institute, 2Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA Abstract: Genetic studies of asthma have revealed that there is considerable heritability to the phenotype. An extensive history of candidate-gene studies has identified a long list of genes associated with immune function that are potentially involved in asthma pathogenesis. However, many of the results of candidate-gene studies have failed to be replicated, leaving in question the true impact of the implicated biological pathways on asthma. With the advent of genome-wide association studies, geneticists are able to examine the association of hundreds of thousands of genetic markers with a phenotype, allowing the hypothesis-free identification of variants associated with disease. Many such studies examining asthma or related phenotypes have been published, and several themes have begun to emerge regarding the biological pathways underpinning asthma. The results of many genome-wide association studies have currently not been replicated, and the large sample sizes required for this experimental strategy invoke difficulties with sample stratification and phenotypic heterogeneity. Recently, large collaborative groups of researchers have formed consortia focused on asthma, with the goals of sharing material and data and standardizing diagnosis and experimental methods. Additionally, research has begun to focus on genetic variants that affect the response to asthma medications and on the biology that generates the heterogeneity in the asthma phenotype. As this work progresses, it will move asthma patients closer to more specific, personalized medicine. Keywords: asthma, genetics, GWAS, pharmacogenetics, biomarkers

  10. High-resolution genome-wide mapping of histone modifications.

    Science.gov (United States)

    Roh, Tae-young; Ngau, Wing Chi; Cui, Kairong; Landsman, David; Zhao, Keji

    2004-08-01

    The expression patterns of eukaryotic genomes are controlled by their chromatin structure, consisting of nucleosome subunits in which DNA of approximately 146 bp is wrapped around a core of 8 histone molecules. Post-translational histone modifications play an essential role in modifying chromatin structure. Here we apply a combination of SAGE and chromatin immunoprecipitation (ChIP) protocols to determine the distribution of hyperacetylated histones H3 and H4 in the Saccharomyces cerevisiae genome. We call this approach genome-wide mapping technique (GMAT). Using GMAT, we find that the highest acetylation levels are detected in the 5' end of a gene's coding region, but not in the promoter. Furthermore, we show that the histone acetyltransferase, GCN5p, regulates H3 acetylation in the promoter and 5' end of the coding regions. These findings indicate that GMAT should find valuable applications in mapping target sites of chromatin-modifying enzymes.

  11. Genome-wide association studies in pharmacogenomics of antidepressants.

    Science.gov (United States)

    Lin, Eugene; Lane, Hsien-Yuan

    2015-01-01

    Major depressive disorder (MDD) is one of the most common psychiatric disorders worldwide. Doctors must prescribe antidepressants based on educated guesses due to the fact that it is unmanageable to predict the effectiveness of any particular antidepressant in an individual patient. With the recent advent of scientific research, the genome-wide association study (GWAS) is extensively employed to analyze hundreds of thousands of single nucleotide polymorphisms by high-throughput genotyping technologies. In addition to the candidate-gene approach, the GWAS approach has recently been utilized to investigate the determinants of antidepressant response to therapy. In this study, we reviewed GWAS studies, their limitations and future directions with respect to the pharmacogenomics of antidepressants in MDD.

  12. Protein Interaction-Based Genome-Wide Analysis of Incident Coronary Heart Disease

    DEFF Research Database (Denmark)

    Jensen, Majken Karoline; Pers, Tune Hannes; Dworzynski, Piotr

    2011-01-01

    Background-Network-based approaches may leverage genome-wide association (GWA) analysis by testing for the aggregate association across several pathway members. We aimed to examine if networks of genes that represent experimentally determined protein-protein interactions (PPIs) are enriched...... are involved in abnormal cardiovascular system physiological features based on knockout mice (4-fold enrichment; Fisher exact test, P = 0.006). Ingenuity pathway analysis revealed that canonical pathways, especially related to blood pressure regulation, were significantly enriched in the genes from the top...... complex. Conclusions-The integration of a GWA study with PPI data successfully identifies a set of candidate susceptibility genes for incident CHD that would have been missed in single-marker GWA analysis. (Circ Cardiovasc Genet. 2011; 4:549-556.)...

  13. Genome-wide analyses for dissecting gene regulatory networks in the shoot apical meristem.

    Science.gov (United States)

    Bustamante, Mariana; Matus, José Tomás; Riechmann, José Luis

    2016-03-01

    Shoot apical meristem activity is controlled by complex regulatory networks in which components such as transcription factors, miRNAs, small peptides, hormones, enzymes and epigenetic marks all participate. Many key genes that determine the inherent characteristics of the shoot apical meristem have been identified through genetic approaches. Recent advances in genome-wide studies generating extensive transcriptomic and DNA-binding datasets have increased our understanding of the interactions within the regulatory networks that control the activity of the meristem, identifying new regulators and uncovering connections between previously unlinked network components. In this review, we focus on recent studies that illustrate the contribution of whole genome analyses to understand meristem function. © The Author 2016. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

  14. Insights into kidney diseases from genome-wide association studies.

    Science.gov (United States)

    Wuttke, Matthias; Köttgen, Anna

    2016-09-01

    Over the past decade, genome-wide association studies (GWAS) have considerably improved our understanding of the genetic basis of kidney function and disease. Population-based studies, used to investigate traits that define chronic kidney disease (CKD), have identified >50 genomic regions in which common genetic variants associate with estimated glomerular filtration rate or urinary albumin-to-creatinine ratio. Case-control studies, used to study specific CKD aetiologies, have yielded risk loci for specific kidney diseases such as IgA nephropathy and membranous nephropathy. In this Review, we summarize important findings from GWAS and clinical and experimental follow-up studies. We also compare risk allele frequency, effect sizes, and specificity in GWAS of CKD-defining traits and GWAS of specific CKD aetiologies and the implications for study design. Genomic regions identified in GWAS of CKD-defining traits can contain causal genes for monogenic kidney diseases. Population-based research on kidney function traits can therefore generate insights into more severe forms of kidney diseases. Experimental follow-up studies have begun to identify causal genes and variants, which are potential therapeutic targets, and suggest mechanisms underlying the high allele frequency of causal variants. GWAS are thus a useful approach to advance knowledge in nephrology.

  15. Genome-wide association study of clinical dimensions of schizophrenia

    DEFF Research Database (Denmark)

    Fanous, Ayman H; Zhou, Baiyu; Aggen, Steven H;

    2012-01-01

    Multiple sources of evidence suggest that genetic factors influence variation in clinical features of schizophrenia. The authors present the first genome-wide association study (GWAS) of dimensional symptom scores among individuals with schizophrenia....

  16. Cancer genetic association studies in the genome-wide age

    OpenAIRE

    Savage, Sharon A

    2008-01-01

    Genome-wide association studies of hundreds of thousands of SNPs have led to a deluge of studies of genetic variation in cancer and other common diseases. Large case–control and cohort studies have identified novel SNPs as markers of cancer risk. Genome-wide association study SNP data have also advanced understanding of population-specific genetic variation. While studies of risk profiles, combinations of SNPs that may increase cancer risk, are not yet clinically applicable, future, large-sca...

  17. Genome-wide polymorphisms show unexpected targets of natural selection

    OpenAIRE

    Pespeni, Melissa H.; Garfield, David A.; Manier, Mollie K; Palumbi, Stephen R.

    2011-01-01

    Natural selection can act on all the expressed genes of an individual, leaving signatures of genetic differentiation or diversity at many loci across the genome. New power to assay these genome-wide effects of selection comes from associating multi-locus patterns of polymorphism with gene expression and function. Here, we performed one of the first genome-wide surveys in a marine species, comparing purple sea urchins, Strongylocentrotus purpuratus, from two distant locations along the species...

  18. Genome-wide association study of multiplex schizophrenia pedigrees

    DEFF Research Database (Denmark)

    Levinson, Douglas F; Shi, Jianxin; Wang, Kai

    2012-01-01

    The authors used a genome-wide association study (GWAS) of multiply affected families to investigate the association of schizophrenia to common single-nucleotide polymorphisms (SNPs) and rare copy number variants (CNVs).......The authors used a genome-wide association study (GWAS) of multiply affected families to investigate the association of schizophrenia to common single-nucleotide polymorphisms (SNPs) and rare copy number variants (CNVs)....

  19. Comparative analysis of methods for genome-wide nucleosome cartography.

    Science.gov (United States)

    Quintales, Luis; Vázquez, Enrique; Antequera, Francisco

    2015-07-01

    Nucleosomes contribute to compacting the genome into the nucleus and regulate the physical access of regulatory proteins to DNA either directly or through the epigenetic modifications of the histone tails. Precise mapping of nucleosome positioning across the genome is, therefore, essential to understanding the genome regulation. In recent years, several experimental protocols have been developed for this purpose that include the enzymatic digestion, chemical cleavage or immunoprecipitation of chromatin followed by next-generation sequencing of the resulting DNA fragments. Here, we compare the performance and resolution of these methods from the initial biochemical steps through the alignment of the millions of short-sequence reads to a reference genome to the final computational analysis to generate genome-wide maps of nucleosome occupancy. Because of the lack of a unified protocol to process data sets obtained through the different approaches, we have developed a new computational tool (NUCwave), which facilitates their analysis, comparison and assessment and will enable researchers to choose the most suitable method for any particular purpose. NUCwave is freely available at http://nucleosome.usal.es/nucwave along with a step-by-step protocol for its use. © The Author 2014. Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

  20. Implementing Meta-analysis for genome-wide association studies of pork quality traits

    Science.gov (United States)

    Pork quality is a critical concern in the meat industry. Implementation of genome-wide association studies (GWA) allows identification of genomic regions that explain a substantial portion of the variation of relevant traits. It is also important to determine the consistency of results of GWA across...

  1. Genome-wide signatures of differential DNA methylation in pediatric acute lymphoblastic leukemia

    DEFF Research Database (Denmark)

    Nordlund, Jessica; Bäcklin, Christofer L; Wahlberg, Per

    2013-01-01

    BACKGROUND: Although aberrant DNA methylation has been observed previously in acute lymphoblastic leukemia (ALL), the patterns of differential methylation have not been comprehensively determined in all subtypes of ALL on a genome-wide scale. The relationship between DNA methylation, cytogenetic...

  2. Shared genetic susceptibility to ischemic stroke and coronary artery disease: a genome-wide analysis of common variants.

    Science.gov (United States)

    Dichgans, Martin; Malik, Rainer; König, Inke R; Rosand, Jonathan; Clarke, Robert; Gretarsdottir, Solveig; Thorleifsson, Gudmar; Mitchell, Braxton D; Assimes, Themistocles L; Levi, Christopher; O'Donnell, Christopher J; Fornage, Myriam; Thorsteinsdottir, Unnur; Psaty, Bruce M; Hengstenberg, Christian; Seshadri, Sudha; Erdmann, Jeanette; Bis, Joshua C; Peters, Annette; Boncoraglio, Giorgio B; März, Winfried; Meschia, James F; Kathiresan, Sekar; Ikram, M Arfan; McPherson, Ruth; Stefansson, Kari; Sudlow, Cathie; Reilly, Muredach P; Thompson, John R; Sharma, Pankaj; Hopewell, Jemma C; Chambers, John C; Watkins, Hugh; Rothwell, Peter M; Roberts, Robert; Markus, Hugh S; Samani, Nilesh J; Farrall, Martin; Schunkert, Heribert

    2014-01-01

    Ischemic stroke (IS) and coronary artery disease (CAD) share several risk factors and each has a substantial heritability. We conducted a genome-wide analysis to evaluate the extent of shared genetic determination of the two diseases. Genome-wide association data were obtained from the METASTROKE, Coronary Artery Disease Genome-wide Replication and Meta-analysis (CARDIoGRAM), and Coronary Artery Disease (C4D) Genetics consortia. We first analyzed common variants reaching a nominal threshold of significance (Pstroke (LAS) subtype. Common variants associated with CAD at Pgenetic risk of IS and particularly the LAS subtype with CAD.

  3. A novel statistic for genome-wide interaction analysis.

    Science.gov (United States)

    Wu, Xuesen; Dong, Hua; Luo, Li; Zhu, Yun; Peng, Gang; Reveille, John D; Xiong, Momiao

    2010-09-23

    Although great progress in genome-wide association studies (GWAS) has been made, the significant SNP associations identified by GWAS account for only a few percent of the genetic variance, leading many to question where and how we can find the missing heritability. There is increasing interest in genome-wide interaction analysis as a possible source of finding heritability unexplained by current GWAS. However, the existing statistics for testing interaction have low power for genome-wide interaction analysis. To meet challenges raised by genome-wide interactional analysis, we have developed a novel statistic for testing interaction between two loci (either linked or unlinked). The null distribution and the type I error rates of the new statistic for testing interaction are validated using simulations. Extensive power studies show that the developed statistic has much higher power to detect interaction than classical logistic regression. The results identified 44 and 211 pairs of SNPs showing significant evidence of interactions with FDRanalysis is a valuable tool for finding remaining missing heritability unexplained by the current GWAS, and the developed novel statistic is able to search significant interaction between SNPs across the genome. Real data analysis showed that the results of genome-wide interaction analysis can be replicated in two independent studies.

  4. A novel statistic for genome-wide interaction analysis.

    Directory of Open Access Journals (Sweden)

    Xuesen Wu

    2010-09-01

    Full Text Available Although great progress in genome-wide association studies (GWAS has been made, the significant SNP associations identified by GWAS account for only a few percent of the genetic variance, leading many to question where and how we can find the missing heritability. There is increasing interest in genome-wide interaction analysis as a possible source of finding heritability unexplained by current GWAS. However, the existing statistics for testing interaction have low power for genome-wide interaction analysis. To meet challenges raised by genome-wide interactional analysis, we have developed a novel statistic for testing interaction between two loci (either linked or unlinked. The null distribution and the type I error rates of the new statistic for testing interaction are validated using simulations. Extensive power studies show that the developed statistic has much higher power to detect interaction than classical logistic regression. The results identified 44 and 211 pairs of SNPs showing significant evidence of interactions with FDR<0.001 and 0.001genome-wide interaction analysis is a valuable tool for finding remaining missing heritability unexplained by the current GWAS, and the developed novel statistic is able to search significant interaction between SNPs across the genome. Real data analysis showed that the results of genome-wide interaction analysis can be replicated in two independent studies.

  5. Shared Genetic Susceptibility to Ischemic Stroke and Coronary Artery Disease A Genome-Wide Analysis of Common Variants

    OpenAIRE

    Dichgans, Martin; Malik, Rainer; König, Inke R.; Rosand, Jonathan; Clarke, Robert; Gretarsdottir, Solveig; Thorleifsson, Gudmar; Mitchell, Braxton D.; Assimes, Themistocles L.; Levi, Christopher; O′Donnell, Christopher J.; Fornage, Myriam; Thorsteinsdottir, Unnur; Psaty, Bruce M.; Hengstenberg, Christian

    2014-01-01

    To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked Files. This article is open access. Ischemic stroke (IS) and coronary artery disease (CAD) share several risk factors and each has a substantial heritability. We conducted a genome-wide analysis to evaluate the extent of shared genetic determination of the two diseases. Genome-wide association data were obtained from ...

  6. A Genome-Wide Scan for Breast Cancer Risk Haplotypes among African American Women

    Science.gov (United States)

    Song, Chi; Chen, Gary K.; Millikan, Robert C.; Ambrosone, Christine B.; John, Esther M.; Bernstein, Leslie; Zheng, Wei; Hu, Jennifer J.; Ziegler, Regina G.; Nyante, Sarah; Bandera, Elisa V.; Ingles, Sue A.; Press, Michael F.; Deming, Sandra L.; Rodriguez-Gil, Jorge L.; Chanock, Stephen J.; Wan, Peggy; Sheng, Xin; Pooler, Loreall C.; Van Den Berg, David J.; Le Marchand, Loic; Kolonel, Laurence N.; Henderson, Brian E.; Haiman, Chris A.; Stram, Daniel O.

    2013-01-01

    Genome-wide association studies (GWAS) simultaneously investigating hundreds of thousands of single nucleotide polymorphisms (SNP) have become a powerful tool in the investigation of new disease susceptibility loci. Haplotypes are sometimes thought to be superior to SNPs and are promising in genetic association analyses. The application of genome-wide haplotype analysis, however, is hindered by the complexity of haplotypes themselves and sophistication in computation. We systematically analyzed the haplotype effects for breast cancer risk among 5,761 African American women (3,016 cases and 2,745 controls) using a sliding window approach on the genome-wide scale. Three regions on chromosomes 1, 4 and 18 exhibited moderate haplotype effects. Furthermore, among 21 breast cancer susceptibility loci previously established in European populations, 10p15 and 14q24 are likely to harbor novel haplotype effects. We also proposed a heuristic of determining the significance level and the effective number of independent tests by the permutation analysis on chromosome 22 data. It suggests that the effective number was approximately half of the total (7,794 out of 15,645), thus the half number could serve as a quick reference to evaluating genome-wide significance if a similar sliding window approach of haplotype analysis is adopted in similar populations using similar genotype density. PMID:23468962

  7. Genome-wide inference of regulatory networks in Streptomyces coelicolor

    Directory of Open Access Journals (Sweden)

    Takano Eriko

    2010-10-01

    Full Text Available Abstract Background The onset of antibiotics production in Streptomyces species is co-ordinated with differentiation events. An understanding of the genetic circuits that regulate these coupled biological phenomena is essential to discover and engineer the pharmacologically important natural products made by these species. The availability of genomic tools and access to a large warehouse of transcriptome data for the model organism, Streptomyces coelicolor, provides incentive to decipher the intricacies of the regulatory cascades and develop biologically meaningful hypotheses. Results In this study, more than 500 samples of genome-wide temporal transcriptome data, comprising wild-type and more than 25 regulatory gene mutants of Streptomyces coelicolor probed across multiple stress and medium conditions, were investigated. Information based on transcript and functional similarity was used to update a previously-predicted whole-genome operon map and further applied to predict transcriptional networks constituting modules enriched in diverse functions such as secondary metabolism, and sigma factor. The predicted network displays a scale-free architecture with a small-world property observed in many biological networks. The networks were further investigated to identify functionally-relevant modules that exhibit functional coherence and a consensus motif in the promoter elements indicative of DNA-binding elements. Conclusions Despite the enormous experimental as well as computational challenges, a systems approach for integrating diverse genome-scale datasets to elucidate complex regulatory networks is beginning to emerge. We present an integrated analysis of transcriptome data and genomic features to refine a whole-genome operon map and to construct regulatory networks at the cistron level in Streptomyces coelicolor. The functionally-relevant modules identified in this study pose as potential targets for further studies and verification.

  8. Genephony: a knowledge management tool for genome-wide research

    Science.gov (United States)

    Nuzzo, Angelo; Riva, Alberto

    2009-01-01

    Background One of the consequences of the rapid and widespread adoption of high-throughput experimental technologies is an exponential increase of the amount of data produced by genome-wide experiments. Researchers increasingly need to handle very large volumes of heterogeneous data, including both the data generated by their own experiments and the data retrieved from publicly available repositories of genomic knowledge. Integration, exploration, manipulation and interpretation of data and information therefore need to become as automated as possible, since their scale and breadth are, in general, beyond the limits of what individual researchers and the basic data management tools in normal use can handle. This paper describes Genephony, a tool we are developing to address these challenges. Results We describe how Genephony can be used to manage large datesets of genomic information, integrating them with existing knowledge repositories. We illustrate its functionalities with an example of a complex annotation task, in which a set of SNPs coming from a genotyping experiment is annotated with genes known to be associated to a phenotype of interest. We show how, thanks to the modular architecture of Genephony and its user-friendly interface, this task can be performed in a few simple steps. Conclusion Genephony is an online tool for the manipulation of large datasets of genomic information. It can be used as a browser for genomic data, as a high-throughput annotation tool, and as a knowledge discovery tool. It is designed to be easy to use, flexible and extensible. Its knowledge management engine provides fine-grained control over individual data elements, as well as efficient operations on large datasets. PMID:19728881

  9. Genome-wide gene expression analysis of anguillid herpesvirus 1

    NARCIS (Netherlands)

    Beurden, van S.J.; Peeters, B.P.H.; Rottier, P.J.M.; Davison, A.A.; Engelsma, M.Y.

    2013-01-01

    Background Whereas temporal gene expression in mammalian herpesviruses has been studied extensively, little is known about gene expression in fish herpesviruses. Here we report a genome-wide transcription analysis of a fish herpesvirus, anguillid herpesvirus 1, in cell culture, studied during the

  10. Genome-Wide Scan Reveals Mutation Associated with Melanoma

    Science.gov (United States)

    ... Q R S T U V W X Y Z We want to hear from you You are here: News & Events 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 Spotlight on Research 2012 July 2012 (historical) Genome-Wide Scan Reveals Mutation Associated with Melanoma A team of ...

  11. A genome-wide scan for preeclampsia in the Netherlands

    NARCIS (Netherlands)

    Lachmeijer, AMA; Arngrimsson, R; Bastiaans, EJ; Frigge, ML; Pals, G; Sigurdardottir, S; Stefansson, H; Palsson, B; Nicolae, D; Kong, A; Aarnoudse, JG; Gulcher, [No Value; Dekker, GA; ten Kate, LP; Stefansson, K

    2001-01-01

    Preeclampsia, hallmarked by de novo hypertension and proteinuria in pregnancy, has a familial tendency. Recently, a large Icelandic genome-wide scan provided evidence for a maternal susceptibility locus for preeclampsia on chromosome 2p13 which was confirmed by a genome scan from Australia and New

  12. Genome-wide RNA Tomography in the Zebrafish Embryo

    NARCIS (Netherlands)

    Junker, Jan Philipp; Noël, Emily S; Guryev, Victor; Peterson, Kevin A; Shah, Gopi; Huisken, Jan; McMahon, Andrew P; Berezikov, Eugene; Bakkers, Jeroen; van Oudenaarden, Alexander

    2014-01-01

    Advancing our understanding of embryonic development is heavily dependent on identification of novel pathways or regulators. Although genome-wide techniques such as RNA sequencing are ideally suited for discovering novel candidate genes, they are unable to yield spatially resolved information in

  13. Genome-wide RNA Tomography in the zebrafish embryo

    NARCIS (Netherlands)

    Junker, Jan Philipp; Noël, Emily S; Guryev, Victor; Peterson, Kevin A; Shah, Gopi; Huisken, Jan; McMahon, Andrew P; Berezikov, Eugene; Bakkers, Jeroen; van Oudenaarden, Alexander

    2014-01-01

    Advancing our understanding of embryonic development is heavily dependent on identification of novel pathways or regulators. Although genome-wide techniques such as RNA sequencing are ideally suited for discovering novel candidate genes, they are unable to yield spatially resolved information in

  14. Genome-wide association study identifies five new schizophrenia loci

    NARCIS (Netherlands)

    Ripke, Stephan; Sanders, Alan R.; Kendler, Kenneth S.; Levinson, Douglas F.; Sklar, Pamela; Holmans, Peter A.; Lin, Dan-Yu; Duan, Jubao; Ophoff, Roel A.; Andreassen, Ole A.; Scolnick, Edward; Cichon, Sven; Clair, David St.; Corvin, Aiden; Gurling, Hugh; Werge, Thomas; Rujescu, Dan; Blackwood, Douglas H. R.; Pato, Carlos N.; Malhotra, Anil K.; Purcell, Shaun; Dudbridge, Frank; Neale, Benjamin M.; Rossin, Lizzy; Visscher, Peter M.; Posthuma, Danielle; Ruderfer, Douglas M.; Fanous, Ayman; Stefansson, Hreinn; Steinberg, Stacy; Mowry, Bryan J.; Golimbet, Vera; De Hert, Marc; Jonsson, Erik G.; Bitter, Istvan; Pietilainen, Olli P. H.; Collier, David A.; Tosato, Sarah; Agartz, Ingrid; Albus, Margot; Alexander, Madeline; Amdur, Richard L.; Amin, Farooq; Bass, Nicholas; Bergen, Sarah E.; Black, Donald W.; Borglum, Anders D.; Brown, Matthew A.; Bruggeman, Richard; Buccola, Nancy G.; Byerley, William F.; Cahn, Wiepke; Cantor, Rita M.; Carr, Vaughan J.; Catts, Stanley V.; Choudhury, Khalid; Cloninger, C. Robert; Cormican, Paul; Craddock, Nicholas; Danoy, Patrick A.; Datta, Susmita; De Haan, Lieuwe; Demontis, Ditte; Dikeos, Dimitris; Djurovic, Srdjan; Donnelly, Peter; Donohoe, Gary; Duong, Linh; Dwyer, Sarah; Fink-Jensen, Anders; Freedman, Robert; Freimer, Nelson B.; Friedl, Marion; Georgieva, Lyudmila; Giegling, Ina; Gill, Michael; Glenthoj, Birte; Godard, Stephanie; Hamshere, Marian; Hansen, Mark; Hansen, Thomas; Hartmann, Annette M.; Henskens, Frans A.; Hougaard, David M.; Hultman, Christina M.; Ingason, Andres; Jablensky, Assen V.; Jakobsen, Klaus D.; Jay, Maurice; Juergens, Gesche; Kahn, Renes; Keller, Matthew C.; Kenis, Gunter; Kenny, Elaine; Kim, Yunjung; Kirov, George K.; Konnerth, Heike; Konte, Bettina; Krabbendam, Lydia; Krasucki, Robert; Lasseter, Virginia K.; Laurent, Claudine; Lawrence, Jacob; Lencz, Todd; Lerer, F. Bernard; Liang, Kung-Yee; Lichtenstein, Paul; Lieberman, Jeffrey A.; Linszen, Don H.; Lonnqvist, Jouko; Loughland, Carmel M.; Maclean, Alan W.; Maher, Brion S.; Maier, Wolfgang; Mallet, Jacques; Malloy, Pat; Mattheisen, Manuel; Mattingsdal, Morten; McGhee, Kevin A.; McGrath, John J.; McIntosh, Andrew; McLean, Duncan E.; McQuillin, Andrew; Melle, Ingrid; Michie, Patricia T.; Milanova, Vihra; Morris, Derek W.; Mors, Ole; Mortensen, Preben B.; Moskvina, Valentina; Muglia, Pierandrea; Myin-Germeys, Inez; Nertney, Deborah A.; Nestadt, Gerald; Nielsen, Jimmi; Nikolov, Ivan; Nordentoft, Merete; Norton, Nadine; Noethen, Markus M.; O'Dushlaine, Colm T.; Olincy, Ann; Olsen, Line; O'Neill, F. Anthony; Orntoft, Torben F.; Owen, Michael J.; Pantelis, Christos; Papadimitriou, George; Pato, Michele T.; Peltonen, Leena; Petursson, Hannes; Pickard, Ben; Pimm, Jonathan; Pulver, Ann E.; Puri, Vinay; Quested, Digby; Quinn, Emma M.; Rasmussen, Henrik B.; Rethelyi, Janos M.; Ribble, Robert; Rietschel, Marcella; Riley, Brien P.; Ruggeri, Mirella; Schall, Ulrich; Schulze, Thomas G.; Schwab, Sibylle G.; Scott, Rodney J.; Shi, Jianxin; Sigurdsson, Engilbert; Silverman, Jeremy M.; Spencer, Chris C. A.; Stefansson, Kari; Strange, Amy; Strengman, Eric; Stroup, T. Scott; Suvisaari, Jaana; Terenius, Lars; Thirumalai, Srinivasa; Thygesen, Johan H.; Timm, Sally; Toncheva, Draga; van den Oord, Edwin; van Os, Jim; van Winkel, Ruud; Veldink, Jan; Walsh, Dermot; Wang, August G.; Wiersma, Durk; Wildenauer, Dieter B.; Williams, Hywel J.; Williams, Nigel M.; Wormley, Brandon; Zammit, Stan; Sullivan, Patrick F.; O'Donovan, Michael C.; Daly, Mark J.; Gejman, Pablo V.

    2011-01-01

    We examined the role of common genetic variation in schizophrenia in a genome-wide association study of substantial size: a stage 1 discovery sample of 21,856 individuals of European ancestry and a stage 2 replication sample of 29,839 independent subjects. The combined stage 1 and 2 analysis yielded

  15. A genome-wide association study of anorexia nervosa

    NARCIS (Netherlands)

    Boraska, V; Franklin, C S; Floyd, J A B; Thornton, L M; Huckins, L M; Southam, L; Rayner, N W; Tachmazidou, I; Klump, K L; Treasure, J; Lewis, C M; Schmidt, U; Tozzi, F; Kiezebrink, K; Hebebrand, J; Gorwood, P; Adan, R A H; Kas, M J H; Favaro, A; Santonastaso, P; Fernández-Aranda, F; Gratacos, M; Rybakowski, F; Dmitrzak-Weglarz, M; Kaprio, J; Keski-Rahkonen, A; Raevuori, A; Van Furth, E F; Slof-Op 't Landt, M C T; Hudson, J I; Reichborn-Kjennerud, T; Knudsen, G P S; Monteleone, P; Kaplan, A S; Karwautz, A; Hakonarson, H; Berrettini, W H; Guo, Y; Li, D; Schork, N J; Komaki, G; Ando, T; Inoko, H; Esko, T; Fischer, K; Männik, K; Metspalu, A; Baker, J H; Cone, R D; Dackor, J; DeSocio, J E; Hilliard, C E; O'Toole, J K; Pantel, J; Szatkiewicz, J P; Taico, C; Zerwas, S; Trace, S E; Davis, O S P; Helder, S; Bühren, K; Burghardt, R; de Zwaan, M; Egberts, K; Ehrlich, S; Herpertz-Dahlmann, B; Herzog, W; Imgart, H; Scherag, A; Scherag, S; Zipfel, S; Boni, C; Ramoz, N; Versini, A; Brandys, M K; Danner, U N; de Kovel, C; Hendriks, J; Koeleman, B P C; Ophoff, R A; Strengman, E; van Elburg, Annemarie; Bruson, A; Clementi, M; Degortes, D; Forzan, M; Tenconi, E; Docampo, E; Escaramís, G; Jiménez-Murcia, S; Lissowska, J; Rajewski, A; Szeszenia-Dabrowska, N; Slopien, A; Hauser, J; Karhunen, L; Meulenbelt, I; Slagboom, P E; Tortorella, A; Maj, M; Dedoussis, G; Dikeos, D; Gonidakis, F; Tziouvas, K; Tsitsika, A; Papezova, H; Slachtova, L; Martaskova, D; Kennedy, J L; Levitan, R D; Yilmaz, Z; Huemer, J; Koubek, D; Merl, E; Wagner, G; Lichtenstein, P; Breen, G; Cohen-Woods, S; Farmer, A; McGuffin, P; Cichon, S; Giegling, I; Herms, S; Rujescu, D; Schreiber, S; Wichmann, H-E; Dina, C; Sladek, R; Gambaro, G; Soranzo, N; Julia, A; Marsal, S; Rabionet, R; Gaborieau, V; Dick, D M; Palotie, A; Ripatti, S; Widén, E; Andreassen, O A; Espeseth, T; Lundervold, A; Reinvang, I; Steen, V M; Le Hellard, S; Mattingsdal, M; Ntalla, I; Bencko, V; Foretova, L; Janout, V; Navratilova, M; Gallinger, S; Pinto, D; Scherer, S W; Aschauer, H; Carlberg, L; Schosser, A; Alfredsson, L; Ding, B; Klareskog, L; Padyukov, L; Courtet, P; Guillaume, S; Jaussent, I; Finan, C; Kalsi, G; Roberts, M; Logan, D W; Peltonen, L; Ritchie, G R S; Barrett, J C; Estivill, X; Hinney, A; Sullivan, P F; Collier, D A; Zeggini, E; Bulik, C M

    2014-01-01

    Anorexia nervosa (AN) is a complex and heritable eating disorder characterized by dangerously low body weight. Neither candidate gene studies nor an initial genome-wide association study (GWAS) have yielded significant and replicated results. We performed a GWAS in 2907 cases with AN from 14 countri

  16. Genome-Wide Association Analysis in Primary Sclerosing Cholangitis

    NARCIS (Netherlands)

    T.H. Karlsen; A. Franke; E. Melum; A.. Kaser; J.R. Hov; T. Balschun; B.A. Lie; A. Bergquist; C. Schramm; T.J. Weismüller; D. Gotthardt; C. Rust; E.E.R. Philipp; T. Fritz; L. Henckaerts; R. Weersma; P. Stokkers; C.Y. Ponsioen; C. Wijmenga; M. Sterneck; M. Nothnagel; J. Hampe; A. Teufel; H. Runz; P. Rosenstiel; A. Stiehl; S. Vermeire; U. Beuers; M. Manns; E. Schrumpf; K.M. Boberg; S. Schreiber

    2010-01-01

    BACKGROUND & AIMS: We aimed to characterize the genetic susceptibility to primary sclerosing cholangitis (PSC) by means of a genome-wide association analysis of single nucleotide polymorphism (SNP) markers. METHODS: A total of 443,816 SNPs on the Affymetrix SNP Array 5.0 (Affymetrix, Santa Clara, CA

  17. Genome-wide association study of Tourette's syndrome

    NARCIS (Netherlands)

    Scharf, J. M.; Yu, D.; Mathews, C. A.; Neale, B. M.; Stewart, S. E.; Fagerness, J. A.; Evans, P.; Gamazon, E.; Edlund, C. K.; Service, S. K.; Tikhomirov, A.; Osiecki, L.; Illmann, C.; Pluzhnikov, A.; Konkashbaev, A.; Davis, L. K.; Han, B.; Crane, J.; Moorjani, P.; Crenshaw, A. T.; Parkin, M. A.; Reus, V. I.; Lowe, T. L.; Rangel-Lugo, M.; Chouinard, S.; Dion, Y.; Girard, S.; Cath, D. C.; Smit, J. H.; King, R. A.; Fernandez, T. V.; Leckman, J. F.; Kidd, K. K.; Kidd, J. R.; Pakstis, A. J.; State, M. W.; Herrera, L. D.; Romero, R.; Fournier, E.; Sandor, P.; Barr, C. L.; Phan, N.; Gross-Tsur, V.; Benarroch, F.; Pollak, Y.; Budman, C. L.; Bruun, R. D.; Erenberg, G.; Naarden, A. L.; Lee, P. C.; Weiss, N.; Kremeyer, B.; Berrio, G. B.; Campbell, D. D.; Cardona Silgado, J. C.; Ochoa, W. C.; Mesa Restrepo, S. C.; Muller, H.; Valencia Duarte, A. V.; Lyon, G. J.; Leppert, M.; Morgan, J.; Weiss, R.; Grados, M. A.; Anderson, K.; Davarya, S.; Singer, H.; Walkup, J.; Jankovic, J.; Tischfield, J. A.; Heiman, G. A.; Gilbert, D. L.; Hoekstra, P. J.; Robertson, M. M.; Kurlan, R.; Liu, C.; Gibbs, J. R.; Singleton, A.; Hardy, J.; Strengman, E.; Ophoff, R. A.; Wagner, M.; Moessner, R.; Mirel, D. B.; Posthuma, D.; Sabatti, C.; Eskin, E.; Conti, D. V.; Knowles, J. A.; Ruiz-Linares, A.; Rouleau, G. A.; Purcell, S.; Heutink, P.; Oostra, B. A.; McMahon, W. M.; Freimer, N. B.; Cox, N. J.; Pauls, D. L.

    2013-01-01

    Tourette's syndrome (TS) is a developmental disorder that has one of the highest familial recurrence rates among neuropsychiatric diseases with complex inheritance. However, the identification of definitive TS susceptibility genes remains elusive. Here, we report the first genome-wide association

  18. Genome-wide association study identifies five new schizophrenia loci

    NARCIS (Netherlands)

    Ripke, Stephan; Sanders, Alan R.; Kendler, Kenneth S.; Levinson, Douglas F.; Sklar, Pamela; Holmans, Peter A.; Lin, Dan-Yu; Duan, Jubao; Ophoff, Roel A.; Andreassen, Ole A.; Scolnick, Edward; Cichon, Sven; Clair, David St.; Corvin, Aiden; Gurling, Hugh; Werge, Thomas; Rujescu, Dan; Blackwood, Douglas H. R.; Pato, Carlos N.; Malhotra, Anil K.; Purcell, Shaun; Dudbridge, Frank; Neale, Benjamin M.; Rossin, Lizzy; Visscher, Peter M.; Posthuma, Danielle; Ruderfer, Douglas M.; Fanous, Ayman; Stefansson, Hreinn; Steinberg, Stacy; Mowry, Bryan J.; Golimbet, Vera; De Hert, Marc; Jonsson, Erik G.; Bitter, Istvan; Pietilainen, Olli P. H.; Collier, David A.; Tosato, Sarah; Agartz, Ingrid; Albus, Margot; Alexander, Madeline; Amdur, Richard L.; Amin, Farooq; Bass, Nicholas; Bergen, Sarah E.; Black, Donald W.; Borglum, Anders D.; Brown, Matthew A.; Bruggeman, Richard; Buccola, Nancy G.; Byerley, William F.; Cahn, Wiepke; Cantor, Rita M.; Carr, Vaughan J.; Catts, Stanley V.; Choudhury, Khalid; Cloninger, C. Robert; Cormican, Paul; Craddock, Nicholas; Danoy, Patrick A.; Datta, Susmita; De Haan, Lieuwe; Demontis, Ditte; Dikeos, Dimitris; Djurovic, Srdjan; Donnelly, Peter; Donohoe, Gary; Duong, Linh; Dwyer, Sarah; Fink-Jensen, Anders; Freedman, Robert; Freimer, Nelson B.; Friedl, Marion; Georgieva, Lyudmila; Giegling, Ina; Gill, Michael; Glenthoj, Birte; Godard, Stephanie; Hamshere, Marian; Hansen, Mark; Hansen, Thomas; Hartmann, Annette M.; Henskens, Frans A.; Hougaard, David M.; Hultman, Christina M.; Ingason, Andres; Jablensky, Assen V.; Jakobsen, Klaus D.; Jay, Maurice; Juergens, Gesche; Kahn, Renes; Keller, Matthew C.; Kenis, Gunter; Kenny, Elaine; Kim, Yunjung; Kirov, George K.; Konnerth, Heike; Konte, Bettina; Krabbendam, Lydia; Krasucki, Robert; Lasseter, Virginia K.; Laurent, Claudine; Lawrence, Jacob; Lencz, Todd; Lerer, F. Bernard; Liang, Kung-Yee; Lichtenstein, Paul; Lieberman, Jeffrey A.; Linszen, Don H.; Lonnqvist, Jouko; Loughland, Carmel M.; Maclean, Alan W.; Maher, Brion S.; Maier, Wolfgang; Mallet, Jacques; Malloy, Pat; Mattheisen, Manuel; Mattingsdal, Morten; McGhee, Kevin A.; McGrath, John J.; McIntosh, Andrew; McLean, Duncan E.; McQuillin, Andrew; Melle, Ingrid; Michie, Patricia T.; Milanova, Vihra; Morris, Derek W.; Mors, Ole; Mortensen, Preben B.; Moskvina, Valentina; Muglia, Pierandrea; Myin-Germeys, Inez; Nertney, Deborah A.; Nestadt, Gerald; Nielsen, Jimmi; Nikolov, Ivan; Nordentoft, Merete; Norton, Nadine; Noethen, Markus M.; O'Dushlaine, Colm T.; Olincy, Ann; Olsen, Line; O'Neill, F. Anthony; Orntoft, Torben F.; Owen, Michael J.; Pantelis, Christos; Papadimitriou, George; Pato, Michele T.; Peltonen, Leena; Petursson, Hannes; Pickard, Ben; Pimm, Jonathan; Pulver, Ann E.; Puri, Vinay; Quested, Digby; Quinn, Emma M.; Rasmussen, Henrik B.; Rethelyi, Janos M.; Ribble, Robert; Rietschel, Marcella; Riley, Brien P.; Ruggeri, Mirella; Schall, Ulrich; Schulze, Thomas G.; Schwab, Sibylle G.; Scott, Rodney J.; Shi, Jianxin; Sigurdsson, Engilbert; Silverman, Jeremy M.; Spencer, Chris C. A.; Stefansson, Kari; Strange, Amy; Strengman, Eric; Stroup, T. Scott; Suvisaari, Jaana; Terenius, Lars; Thirumalai, Srinivasa; Thygesen, Johan H.; Timm, Sally; Toncheva, Draga; van den Oord, Edwin; van Os, Jim; van Winkel, Ruud; Veldink, Jan; Walsh, Dermot; Wang, August G.; Wiersma, Durk; Wildenauer, Dieter B.; Williams, Hywel J.; Williams, Nigel M.; Wormley, Brandon; Zammit, Stan; Sullivan, Patrick F.; O'Donovan, Michael C.; Daly, Mark J.; Gejman, Pablo V.

    2011-01-01

    We examined the role of common genetic variation in schizophrenia in a genome-wide association study of substantial size: a stage 1 discovery sample of 21,856 individuals of European ancestry and a stage 2 replication sample of 29,839 independent subjects. The combined stage 1 and 2 analysis yielded

  19. Genome-wide association study identifies five new schizophrenia loci.

    LENUS (Irish Health Repository)

    Ripke, Stephan

    2011-10-01

    We examined the role of common genetic variation in schizophrenia in a genome-wide association study of substantial size: a stage 1 discovery sample of 21,856 individuals of European ancestry and a stage 2 replication sample of 29,839 independent subjects. The combined stage 1 and 2 analysis yielded genome-wide significant associations with schizophrenia for seven loci, five of which are new (1p21.3, 2q32.3, 8p23.2, 8q21.3 and 10q24.32-q24.33) and two of which have been previously implicated (6p21.32-p22.1 and 18q21.2). The strongest new finding (P = 1.6 × 10(-11)) was with rs1625579 within an intron of a putative primary transcript for MIR137 (microRNA 137), a known regulator of neuronal development. Four other schizophrenia loci achieving genome-wide significance contain predicted targets of MIR137, suggesting MIR137-mediated dysregulation as a previously unknown etiologic mechanism in schizophrenia. In a joint analysis with a bipolar disorder sample (16,374 affected individuals and 14,044 controls), three loci reached genome-wide significance: CACNA1C (rs4765905, P = 7.0 × 10(-9)), ANK3 (rs10994359, P = 2.5 × 10(-8)) and the ITIH3-ITIH4 region (rs2239547, P = 7.8 × 10(-9)).

  20. Genome-wide association study identifies five new schizophrenia loci

    DEFF Research Database (Denmark)

    Ripke, Stephan; Sanders, Alan R; Kendler, Kenneth S

    2011-01-01

    We examined the role of common genetic variation in schizophrenia in a genome-wide association study of substantial size: a stage 1 discovery sample of 21,856 individuals of European ancestry and a stage 2 replication sample of 29,839 independent subjects. The combined stage 1 and 2 analysis yiel...

  1. Genome-wide significant risk associations for mucinous ovarian carcinoma

    DEFF Research Database (Denmark)

    Kelemen, Linda E; Lawrenson, Kate; Tyrer, Jonathan;

    2015-01-01

    Genome-wide association studies have identified several risk associations for ovarian carcinomas but not for mucinous ovarian carcinomas (MOCs). Our analysis of 1,644 MOC cases and 21,693 controls with imputation identified 3 new risk associations: rs752590 at 2q13 (P = 3.3 × 10(-8)), rs711830 at...

  2. Genome-wide promoter methylome of small renal masses.

    Directory of Open Access Journals (Sweden)

    Ilsiya Ibragimova

    Full Text Available The majority of renal cell carcinoma (RCC is now incidentally detected and presents as small renal masses (SRMs defined as ≤ 4 cm in size. SRMs are heterogeneous comprising several histological types of RCC each with different biology and behavior, and benign tumors mainly oncocytoma. The varied prognosis of the different types of renal tumor has implications for management options. A key epigenetic alteration involved in the initiation and progression of cancer is aberrant methylation in the promoter region of a gene. The hypermethylation is associated with transcriptional repression and is an important mechanism of inactivation of tumor suppressor genes in neoplastic cells. We have determined the genome-wide promoter methylation profiles of 47 pT1a and 2 pT1b clear cell, papillary or chromophobe RCC, 25 benign renal oncocytoma ≤ 4 cm and 4 normal renal parenchyma specimens by Infinium HumanMethylation27 beadchip technology. We identify gene promoter hypermethylation signatures that distinguish clear cell and papillary from each other, from chromophobe and oncocytoma, and from normal renal cells. Pairwise comparisons revealed genes aberrantly hypermethylated in a tumor type but unmethylated in normal, and often unmethylated in the other renal tumor types. About 0.4% to 1.7% of genes comprised the promoter methylome in SRMs. The Infinium methylation score for representative genes was verified by gold standard technologies. The genes identified as differentially methylated implicate pathways involved in metabolism, tissue response to injury, epithelial to mesenchymal transition (EMT, signal transduction and G-protein coupled receptors (GPCRs, cancer, and stem cell regulation in the biology of RCC. Our findings contribute towards an improved understanding of the development of RCC, the different biology and behavior of histological types, and discovery of molecular subtypes. The differential methylation signatures may have utility in early

  3. Genome-wide analytical approaches for reverse metabolic engineering of industrially relevant phenotypes in yeast

    Science.gov (United States)

    Oud, Bart; Maris, Antonius J A; Daran, Jean-Marc; Pronk, Jack T

    2012-01-01

    Successful reverse engineering of mutants that have been obtained by nontargeted strain improvement has long presented a major challenge in yeast biotechnology. This paper reviews the use of genome-wide approaches for analysis of Saccharomyces cerevisiae strains originating from evolutionary engineering or random mutagenesis. On the basis of an evaluation of the strengths and weaknesses of different methods, we conclude that for the initial identification of relevant genetic changes, whole genome sequencing is superior to other analytical techniques, such as transcriptome, metabolome, proteome, or array-based genome analysis. Key advantages of this technique over gene expression analysis include the independency of genome sequences on experimental context and the possibility to directly and precisely reproduce the identified changes in naive strains. The predictive value of genome-wide analysis of strains with industrially relevant characteristics can be further improved by classical genetics or simultaneous analysis of strains derived from parallel, independent strain improvement lineages. PMID:22152095

  4. Identification of Transcribed Enhancers by Genome-Wide Chromatin Immunoprecipitation Sequencing.

    Science.gov (United States)

    Blinka, Steven; Reimer, Michael H; Pulakanti, Kirthi; Pinello, Luca; Yuan, Guo-Cheng; Rao, Sridhar

    2017-01-01

    Recent work has shown that RNA polymerase II-mediated transcription at distal cis-regulatory elements serves as a mark of highly active enhancers. Production of noncoding RNAs at enhancers, termed eRNAs, correlates with higher expression of genes that the enhancer interacts with; hence, eRNAs provide a new tool to model gene activity in normal and disease tissues. Moreover, this unique class of noncoding RNA has diverse roles in transcriptional regulation. Transcribed enhancers can be identified by a common signature of epigenetic marks by overlaying a series of genome-wide chromatin immunoprecipitation and RNA sequencing datasets. A computational approach to filter non-enhancer elements and other classes of noncoding RNAs is essential to not cloud downstream analysis. Here we present a protocol that combines wet and dry bench methods to accurately identify transcribed enhancers genome-wide as well as an experimental procedure to validate these datasets.

  5. Genome-wide analytical approaches for reverse metabolic engineering of industrially relevant phenotypes in yeast.

    Science.gov (United States)

    Oud, Bart; van Maris, Antonius J A; Daran, Jean-Marc; Pronk, Jack T

    2012-03-01

    Successful reverse engineering of mutants that have been obtained by nontargeted strain improvement has long presented a major challenge in yeast biotechnology. This paper reviews the use of genome-wide approaches for analysis of Saccharomyces cerevisiae strains originating from evolutionary engineering or random mutagenesis. On the basis of an evaluation of the strengths and weaknesses of different methods, we conclude that for the initial identification of relevant genetic changes, whole genome sequencing is superior to other analytical techniques, such as transcriptome, metabolome, proteome, or array-based genome analysis. Key advantages of this technique over gene expression analysis include the independency of genome sequences on experimental context and the possibility to directly and precisely reproduce the identified changes in naive strains. The predictive value of genome-wide analysis of strains with industrially relevant characteristics can be further improved by classical genetics or simultaneous analysis of strains derived from parallel, independent strain improvement lineages.

  6. Genome-wide identification of significant aberrations in cancer genome

    Directory of Open Access Journals (Sweden)

    Yuan Xiguo

    2012-07-01

    Full Text Available Abstract Background Somatic Copy Number Alterations (CNAs in human genomes are present in almost all human cancers. Systematic efforts to characterize such structural variants must effectively distinguish significant consensus events from random background aberrations. Here we introduce Significant Aberration in Cancer (SAIC, a new method for characterizing and assessing the statistical significance of recurrent CNA units. Three main features of SAIC include: (1 exploiting the intrinsic correlation among consecutive probes to assign a score to each CNA unit instead of single probes; (2 performing permutations on CNA units that preserve correlations inherent in the copy number data; and (3 iteratively detecting Significant Copy Number Aberrations (SCAs and estimating an unbiased null distribution by applying an SCA-exclusive permutation scheme. Results We test and compare the performance of SAIC against four peer methods (GISTIC, STAC, KC-SMART, CMDS on a large number of simulation datasets. Experimental results show that SAIC outperforms peer methods in terms of larger area under the Receiver Operating Characteristics curve and increased detection power. We then apply SAIC to analyze structural genomic aberrations acquired in four real cancer genome-wide copy number data sets (ovarian cancer, metastatic prostate cancer, lung adenocarcinoma, glioblastoma. When compared with previously reported results, SAIC successfully identifies most SCAs known to be of biological significance and associated with oncogenes (e.g., KRAS, CCNE1, and MYC or tumor suppressor genes (e.g., CDKN2A/B. Furthermore, SAIC identifies a number of novel SCAs in these copy number data that encompass tumor related genes and may warrant further studies. Conclusions Supported by a well-grounded theoretical framework, SAIC has been developed and used to identify SCAs in various cancer copy number data sets, providing useful information to study the landscape of cancer genomes

  7. Genome-wide association studies and resting heart rate

    DEFF Research Database (Denmark)

    Oskari Kilpeläinen, Tuomas

    2016-01-01

    Genome-wide association studies (GWASs) have revolutionized the search for genetic variants regulating resting heart rate. In the last 10 years, GWASs have led to the identification of at least 21 novel heart rate loci. These discoveries have provided valuable insights into the mechanisms...... and pathways that regulate heart rate and link heart rate to cardiovascular morbidity and mortality. GWASs capture majority of genetic variation in a population sample by utilizing high-throughput genotyping chips measuring genotypes for up to several millions of SNPs across the genome in thousands...... of individuals. This allows the identification of the strongest heart rate associated signals at genome-wide level. While GWASs provide robust statistical evidence of the association of a given genetic locus with heart rate, they are only the starting point for detailed follow-up studies to locate the causal...

  8. Genome-wide patterns of selection in 230 ancient Eurasians

    Science.gov (United States)

    Mathieson, Iain; Lazaridis, Iosif; Rohland, Nadin; Mallick, Swapan; Patterson, Nick; Roodenberg, Songül Alpaslan; Harney, Eadaoin; Stewardson, Kristin; Fernandes, Daniel; Novak, Mario; Sirak, Kendra; Gamba, Cristina; Jones, Eppie R.; Llamas, Bastien; Dryomov, Stanislav; Pickrel, Joseph; Arsuaga, Juan Luís; de Castro, José María Bermúdez; Carbonell, Eudald; Gerritsen, Fokke; Khokhlov, Aleksandr; Kuznetsov, Pavel; Lozano, Marina; Meller, Harald; Mochalov, Oleg; Moiseyev, Vayacheslav; Rojo Guerra, Manuel A.; Roodenberg, Jacob; Vergès, Josep Maria; Krause, Johannes; Cooper, Alan; Alt, Kurt W.; Brown, Dorcas; Anthony, David; Lalueza-Fox, Carles; Haak, Wolfgang; Pinhasi, Ron; Reich, David

    2016-01-01

    Ancient DNA makes it possible to directly witness natural selection by analyzing samples from populations before, during and after adaptation events. Here we report the first scan for selection using ancient DNA, capitalizing on the largest genome-wide dataset yet assembled: 230 West Eurasians dating to between 6500 and 1000 BCE, including 163 with newly reported data. The new samples include the first genome-wide data from the Anatolian Neolithic culture whose genetic material we extracted from the DNA-rich petrous bone and who we show were members of the population that was the source of Europe’s first farmers. We also report a complete transect of the steppe region in Samara between 5500 and 1200 BCE that allows us to recognize admixture from at least two external sources into steppe populations during this period. We detect selection at loci associated with diet, pigmentation and immunity, and two independent episodes of selection on height. PMID:26595274

  9. Genome-wide patterns of nucleotide polymorphism in domesticated rice

    DEFF Research Database (Denmark)

    Caicedo, Ana L; Williamson, Scott H; Hernandez, Ryan D

    2007-01-01

    Domesticated Asian rice (Oryza sativa) is one of the oldest domesticated crop species in the world, having fed more people than any other plant in human history. We report the patterns of DNA sequence variation in rice and its wild ancestor, O. rufipogon, across 111 randomly chosen gene fragments......, and use these to infer the evolutionary dynamics that led to the origins of rice. There is a genome-wide excess of high-frequency derived single nucleotide polymorphisms (SNPs) in O. sativa varieties, a pattern that has not been reported for other crop species. We developed several alternative models...... explanations for patterns of variation in domesticated rice varieties. If selective sweeps are indeed the explanation for the observed nucleotide data of domesticated rice, it suggests that strong selection can leave its imprint on genome-wide polymorphism patterns, contrary to expectations that selection...

  10. Genome-Wide Association Study of Polymorphisms Predisposing to Bronchiolitis

    Science.gov (United States)

    Pasanen, Anu; Karjalainen, Minna K.; Bont, Louis; Piippo-Savolainen, Eija; Ruotsalainen, Marja; Goksör, Emma; Kumawat, Kuldeep; Hodemaekers, Hennie; Nuolivirta, Kirsi; Jartti, Tuomas; Wennergren, Göran; Hallman, Mikko; Rämet, Mika; Korppi, Matti

    2017-01-01

    Bronchiolitis is a major cause of hospitalization among infants. Severe bronchiolitis is associated with later asthma, suggesting a common genetic predisposition. Genetic background of bronchiolitis is not well characterized. To identify polymorphisms associated with bronchiolitis, we conducted a genome-wide association study (GWAS) in which 5,300,000 single nucleotide polymorphisms (SNPs) were tested for association in a Finnish–Swedish population of 217 children hospitalized for bronchiolitis and 778 controls. The most promising SNPs (n = 77) were genotyped in a Dutch replication population of 416 cases and 432 controls. Finally, we used a set of 202 Finnish bronchiolitis cases to further investigate candidate SNPs. We did not detect genome-wide significant associations, but several suggestive association signals (p bronchiolitis. These preliminary findings require further validation in a larger sample size. PMID:28139761

  11. Genome-Wide Association Analysis of Blood Biomarkers in Chronic Obstructive Pulmonary Disease

    DEFF Research Database (Denmark)

    Kim, Deog Kyeom; Cho, Michael H; Hersh, Craig P

    2012-01-01

    Rationale: A genome-wide association study (GWAS) for circulating chronic obstructive pulmonary disease (COPD) biomarkers could identify genetic determinants of biomarker levels and COPD susceptibility. Objectives: To identify genetic variants of circulating protein biomarkers and novel genetic d...... quantitative trait loci may influence their gene expression in the lung and/or COPD susceptibility. Clinical trial registered with www.clinicaltrials.gov (NCT 00292552)....

  12. Genome-wide transcription profile of field- and laboratory-selected dichlorodiphenyltrichloroethane (DDT)-resistant Drosophila

    OpenAIRE

    2004-01-01

    Genome-wide microarray analysis (Affymetrix array) was used (i) to determine whether only one gene, the cytochrome P450 enzyme Cyp6g1, is differentially transcribed in dichlorodiphenyltrichloroethane (DDT)-resistant vs. -susceptible Drosophila; and (ii) to profile common genes differentially transcribed across a DDT-resistant field isolate [Rst(2)DDTWisconsin] and a laboratory DDT-selected population [Rst(2)DDT91-R]. Statistical analysis (ANOVA model) identified 158 probe sets that were diffe...

  13. Genome-Wide Prediction of C. elegans Genetic Interactions

    OpenAIRE

    Zhong, Weiwei; Sternberg, Paul W.

    2006-01-01

    To obtain a global view of functional interactions among genes in a metazoan genome, we computationally integrated interactome data, gene expression data, phenotype data, and functional annotation data from three model organisms—Saccharomyces cerevisiae, Caenorhabditis elegans, and Drosophila melanogaster—and predicted genome-wide genetic interactions in C. elegans. The resulting genetic interaction network (consisting of 18,183 interactions) provides a framework for system-level understandin...

  14. Genome-wide association study of relative telomere length.

    Science.gov (United States)

    Prescott, Jennifer; Kraft, Peter; Chasman, Daniel I; Savage, Sharon A; Mirabello, Lisa; Berndt, Sonja I; Weissfeld, Joel L; Han, Jiali; Hayes, Richard B; Chanock, Stephen J; Hunter, David J; De Vivo, Immaculata

    2011-05-10

    Telomere function is essential to maintaining the physical integrity of linear chromosomes and healthy human aging. The probability of forming proper telomere structures depends on the length of the telomeric DNA tract. We attempted to identify common genetic variants associated with log relative telomere length using genome-wide genotyping data on 3,554 individuals from the Nurses' Health Study and the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial that took part in the National Cancer Institute Cancer Genetic Markers of Susceptibility initiative for breast and prostate cancer. After genotyping 64 independent SNPs selected for replication in additional Nurses' Health Study and Women's Genome Health Study participants, we did not identify genome-wide significant loci; however, we replicated the inverse association of log relative telomere length with the minor allele variant [C] of rs16847897 at the TERC locus (per allele β = -0.03, P = 0.003) identified by a previous genome-wide association study. We did not find evidence for an association with variants at the OBFC1 locus or other loci reported to be associated with telomere length. With this sample size we had >80% power to detect β estimates as small as ±0.10 for SNPs with minor allele frequencies of ≥0.15 at genome-wide significance. However, power is greatly reduced for β estimates smaller than ±0.10, such as those for variants at the TERC locus. In general, common genetic variants associated with telomere length homeostasis have been difficult to detect. Potential biological and technical issues are discussed.

  15. Genome-wide association study of relative telomere length.

    Directory of Open Access Journals (Sweden)

    Jennifer Prescott

    Full Text Available Telomere function is essential to maintaining the physical integrity of linear chromosomes and healthy human aging. The probability of forming proper telomere structures depends on the length of the telomeric DNA tract. We attempted to identify common genetic variants associated with log relative telomere length using genome-wide genotyping data on 3,554 individuals from the Nurses' Health Study and the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial that took part in the National Cancer Institute Cancer Genetic Markers of Susceptibility initiative for breast and prostate cancer. After genotyping 64 independent SNPs selected for replication in additional Nurses' Health Study and Women's Genome Health Study participants, we did not identify genome-wide significant loci; however, we replicated the inverse association of log relative telomere length with the minor allele variant [C] of rs16847897 at the TERC locus (per allele β = -0.03, P = 0.003 identified by a previous genome-wide association study. We did not find evidence for an association with variants at the OBFC1 locus or other loci reported to be associated with telomere length. With this sample size we had >80% power to detect β estimates as small as ±0.10 for SNPs with minor allele frequencies of ≥0.15 at genome-wide significance. However, power is greatly reduced for β estimates smaller than ±0.10, such as those for variants at the TERC locus. In general, common genetic variants associated with telomere length homeostasis have been difficult to detect. Potential biological and technical issues are discussed.

  16. Genome-wide association studies in pediatric endocrinology.

    Science.gov (United States)

    Dauber, Andrew; Hirschhorn, Joel N

    2011-01-01

    Genome-wide association (GWA) studies are a powerful tool for understanding the genetic underpinnings of human disease. In this article, we briefly review the role and findings of GWA studies in type 1 diabetes, stature, pubertal timing, obesity, and vitamin D deficiency. We then discuss the present and future implications of these findings with regards to disease prediction, uncovering basic biology, and the development of novel therapeutic agents.

  17. Statistical Approaches in Genome-Wide Association Studies

    OpenAIRE

    Yazdani, Akram

    2014-01-01

    Genome-wide association studies, GWAS, typically contain hundreds of thousands single nucleotide polymorphisms, SNPs, genotyped for few numbers of samples. The aim of these studies is to identify regions harboring SNPs or to predict the outcomes of interest. Since the number of predictors in the GWAS far exceeds the number of samples, it is impossible to analyze the data with classical statistical methods. In the current GWAS, the widely applied methods are based on single marker analysis th...

  18. Deep genome-wide measurement of meiotic gene conversion using tetrad analysis in Arabidopsis thaliana.

    Directory of Open Access Journals (Sweden)

    Yujin Sun

    Full Text Available Gene conversion, the non-reciprocal exchange of genetic information, is one of the potential products of meiotic recombination. It can shape genome structure by acting on repetitive DNA elements, influence allele frequencies at the population level, and is known to be implicated in human disease. But gene conversion is hard to detect directly except in organisms, like fungi, that group their gametes following meiosis. We have developed a novel visual assay that enables us to detect gene conversion events directly in the gametes of the flowering plant Arabidopsis thaliana. Using this assay we measured gene conversion events across the genome of more than one million meioses and determined that the genome-wide average frequency is 3.5×10(-4 conversions per locus per meiosis. We also detected significant locus-to-locus variation in conversion frequency but no intra-locus variation. Significantly, we found one locus on the short arm of chromosome 4 that experienced 3-fold to 6-fold more gene conversions than the other loci tested. Finally, we demonstrated that we could modulate conversion frequency by varying experimental conditions.

  19. Computational modelling of genome-wide [corrected] transcription assembly networks using a fluidics analogy.

    Directory of Open Access Journals (Sweden)

    Yousry Y Azmy

    Full Text Available Understanding how a myriad of transcription regulators work to modulate mRNA output at thousands of genes remains a fundamental challenge in molecular biology. Here we develop a computational tool to aid in assessing the plausibility of gene regulatory models derived from genome-wide expression profiling of cells mutant for transcription regulators. mRNA output is modelled as fluid flow in a pipe lattice, with assembly of the transcription machinery represented by the effect of valves. Transcriptional regulators are represented as external pressure heads that determine flow rate. Modelling mutations in regulatory proteins is achieved by adjusting valves' on/off settings. The topology of the lattice is designed by the experimentalist to resemble the expected interconnection between the modelled agents and their influence on mRNA expression. Users can compare multiple lattice configurations so as to find the one that minimizes the error with experimental data. This computational model provides a means to test the plausibility of transcription regulation models derived from large genomic data sets.

  20. Quantitative models of the mechanisms that control genome-wide patterns of transcription factor binding during early Drosophila development.

    Directory of Open Access Journals (Sweden)

    Tommy Kaplan

    2011-02-01

    Full Text Available Transcription factors that drive complex patterns of gene expression during animal development bind to thousands of genomic regions, with quantitative differences in binding across bound regions mediating their activity. While we now have tools to characterize the DNA affinities of these proteins and to precisely measure their genome-wide distribution in vivo, our understanding of the forces that determine where, when, and to what extent they bind remains primitive. Here we use a thermodynamic model of transcription factor binding to evaluate the contribution of different biophysical forces to the binding of five regulators of early embryonic anterior-posterior patterning in Drosophila melanogaster. Predictions based on DNA sequence and in vitro protein-DNA affinities alone achieve a correlation of ∼0.4 with experimental measurements of in vivo binding. Incorporating cooperativity and competition among the five factors, and accounting for spatial patterning by modeling binding in every nucleus independently, had little effect on prediction accuracy. A major source of error was the prediction of binding events that do not occur in vivo, which we hypothesized reflected reduced accessibility of chromatin. To test this, we incorporated experimental measurements of genome-wide DNA accessibility into our model, effectively restricting predicted binding to regions of open chromatin. This dramatically improved our predictions to a correlation of 0.6-0.9 for various factors across known target genes. Finally, we used our model to quantify the roles of DNA sequence, accessibility, and binding competition and cooperativity. Our results show that, in regions of open chromatin, binding can be predicted almost exclusively by the sequence specificity of individual factors, with a minimal role for protein interactions. We suggest that a combination of experimentally determined chromatin accessibility data and simple computational models of transcription

  1. Integrative genome-wide approaches in embryonic stem cell research.

    Science.gov (United States)

    Zhang, Xinyue; Huang, Jing

    2010-10-01

    Embryonic stem (ES) cells are derived from blastocysts. They can differentiate into the three embryonic germ layers and essentially any type of somatic cells. They therefore hold great potential in tissue regeneration therapy. The ethical issues associated with the use of human embryonic stem cells are resolved by the technical break-through of generating induced pluripotent stem (iPS) cells from various types of somatic cells. However, how ES and iPS cells self-renew and maintain their pluripotency is still largely unknown in spite of the great progress that has been made in the last two decades. Integrative genome-wide approaches, such as the gene expression microarray, chromatin immunoprecipitation based microarray (ChIP-chip) and chromatin immunoprecipitation followed by massive parallel sequencing (ChIP-seq) offer unprecedented opportunities to elucidate the mechanism of the pluripotency, reprogramming and DNA damage response of ES and iPS cells. This frontier article summarizes the fundamental biological questions about ES and iPS cells and reviews the recent advances in ES and iPS cell research using genome-wide technologies. To this end, we offer our perspectives on the future of genome-wide studies on stem cells.

  2. Genome-Wide Detection and Analysis of Multifunctional Genes

    Science.gov (United States)

    Pritykin, Yuri; Ghersi, Dario; Singh, Mona

    2015-01-01

    Many genes can play a role in multiple biological processes or molecular functions. Identifying multifunctional genes at the genome-wide level and studying their properties can shed light upon the complexity of molecular events that underpin cellular functioning, thereby leading to a better understanding of the functional landscape of the cell. However, to date, genome-wide analysis of multifunctional genes (and the proteins they encode) has been limited. Here we introduce a computational approach that uses known functional annotations to extract genes playing a role in at least two distinct biological processes. We leverage functional genomics data sets for three organisms—H. sapiens, D. melanogaster, and S. cerevisiae—and show that, as compared to other annotated genes, genes involved in multiple biological processes possess distinct physicochemical properties, are more broadly expressed, tend to be more central in protein interaction networks, tend to be more evolutionarily conserved, and are more likely to be essential. We also find that multifunctional genes are significantly more likely to be involved in human disorders. These same features also hold when multifunctionality is defined with respect to molecular functions instead of biological processes. Our analysis uncovers key features about multifunctional genes, and is a step towards a better genome-wide understanding of gene multifunctionality. PMID:26436655

  3. High-resolution, genome-wide mapping of chromatin modifications by GMAT.

    Science.gov (United States)

    Roh, Tae-Young; Zhao, Keji

    2008-01-01

    One major postgenomic challenge is to characterize the epigenomes that control genome functions. The epigenomes are mainly defined by the specific association of nonhistone proteins with chromatin and the covalent modifications of chromatin, including DNA methylation and posttranslational histone modifications. The in vivo protein-binding and chromatin-modification patterns can be revealed by the chromatin immunoprecipitation assay (ChIP). By combining the ChIP assays and the serial analysis of gene expression (SAGE) protocols, we have developed an unbiased and high-resolution genome-wide mapping technique (GMAT) to determine the genome-wide protein-targeting and chromatin-modification patterns. GMAT has been successfully applied to mapping the target sites of the histone acetyltransferase, Gcn5p, in yeast and to the discovery of the histone acetylation islands as an epigenetic mark for functional regulatory elements in the human genome.

  4. Acute Genome-wide effects of Rosiglitazone on PPARγ transcriptional networks in Adipocytes

    DEFF Research Database (Denmark)

    Haakonsson, Anders Kristian; Madsen, Maria Stahl; Nielsen, Ronni

    2013-01-01

    Peroxisome proliferator-activated receptor γ (PPARγ) is a master regulator of adipocyte differentiation, and genome-wide studies indicate that it is involved in the induction of most adipocyte genes. Here we report, for the first time, the acute effects of the synthetic PPARγ agonist rosiglitazone...... on the transcriptional network of PPARγ in adipocytes. Treatment with rosiglitazone for 1 hour leads to acute transcriptional activation as well as repression of a number of genes as determined by genome-wide RNA polymerase II occupancy. Unlike what has been shown for many other nuclear receptors, agonist treatment does...... not lead to major changes in the occurrence of PPARγ binding sites. However, rosiglitazone promotes PPARγ occupancy at many preexisting sites, and this is paralleled by increased occupancy of the mediator subunit MED1. The increase in PPARγ and MED1 binding is correlated with an increase in transcription...

  5. Genome-wide prediction and validation of sigma70 promoters in Lactobacillus plantarum WCFS1.

    Directory of Open Access Journals (Sweden)

    Tilman J Todt

    Full Text Available BACKGROUND: In prokaryotes, sigma factors are essential for directing the transcription machinery towards promoters. Various sigma factors have been described that recognize, and bind to specific DNA sequence motifs in promoter sequences. The canonical sigma factor σ(70 is commonly involved in transcription of the cell's housekeeping genes, which is mediated by the conserved σ(70 promoter sequence motifs. In this study the σ(70-promoter sequences in Lactobacillus plantarum WCFS1 were predicted using a genome-wide analysis. The accuracy of the transcriptionally-active part of this promoter prediction was subsequently evaluated by correlating locations of predicted promoters with transcription start sites inferred from the 5'-ends of transcripts detected by high-resolution tiling array transcriptome datasets. RESULTS: To identify σ(70-related promoter sequences, we performed a genome-wide sequence motif scan of the L. plantarum WCFS1 genome focussing on the regions upstream of protein-encoding genes. We obtained several highly conserved motifs including those resembling the conserved σ(70-promoter consensus. Position weight matrices-based models of the recovered σ(70-promoter sequence motif were employed to identify 3874 motifs with significant similarity (p-value<10(-4 to the model-motif in the L. plantarum genome. Genome-wide transcript information deduced from whole genome tiling-array transcriptome datasets, was used to infer transcription start sites (TSSs from the 5'-end of transcripts. By this procedure, 1167 putative TSSs were identified that were used to corroborate the transcriptionally active fraction of these predicted promoters. In total, 568 predicted promoters were found in proximity (≤ 40 nucleotides of the putative TSSs, showing a highly significant co-occurrence of predicted promoter and TSS (p-value<10(-263. CONCLUSIONS: High-resolution tiling arrays provide a suitable source to infer TSSs at a genome-wide level, and

  6. From human monocytes to genome-wide binding sites--a protocol for small amounts of blood: monocyte isolation/ChIP-protocol/library amplification/genome wide computational data analysis.

    Directory of Open Access Journals (Sweden)

    Sebastian Weiterer

    Full Text Available Chromatin immunoprecipitation in combination with a genome-wide analysis via high-throughput sequencing is the state of the art method to gain genome-wide representation of histone modification or transcription factor binding profiles. However, chromatin immunoprecipitation analysis in the context of human experimental samples is limited, especially in the case of blood cells. The typically extremely low yields of precipitated DNA are usually not compatible with library amplification for next generation sequencing. We developed a highly reproducible protocol to present a guideline from the first step of isolating monocytes from a blood sample to analyse the distribution of histone modifications in a genome-wide manner.The protocol describes the whole work flow from isolating monocytes from human blood samples followed by a high-sensitivity and small-scale chromatin immunoprecipitation assay with guidance for generating libraries compatible with next generation sequencing from small amounts of immunoprecipitated DNA.

  7. Genome-wide Meta-analysis on the Sense of Smell Among US Older Adults.

    Science.gov (United States)

    Dong, Jing; Yang, Jingyun; Tranah, Greg; Franceschini, Nora; Parimi, Neeta; Alkorta-Aranburu, Gorka; Xu, Zongli; Alonso, Alvaro; Cummings, Steven R; Fornage, Myriam; Huang, Xuemei; Kritchevsky, Stephen; Liu, Yongmei; London, Stephanie; Niu, Liang; Wilson, Robert S; De Jager, Philip L; Yu, Lei; Singleton, Andrew B; Harris, Tamara; Mosley, Thomas H; Pinto, Jayant M; Bennett, David A; Chen, Honglei

    2015-11-01

    Olfactory dysfunction is common among older adults and affects their safety, nutrition, quality of life, and mortality. More importantly, the decreased sense of smell is an early symptom of neurodegenerative diseases such as Parkinson disease (PD) and Alzheimer disease. However, the genetic determinants for the sense of smell have been poorly investigated. We here performed the first genome-wide meta-analysis on the sense of smell among 6252 US older adults of European descent from the Atherosclerosis Risk in Communities (ARIC) study, the Health, Aging, and Body Composition (Health ABC) study, and the Religious Orders Study and the Rush Memory and Aging Project (ROS/MAP). Genome-wide association study analysis was performed first by individual cohorts and then meta-analyzed using fixed-effect models with inverse variance weights. Although no SNPs reached genome-wide statistical significance, we identified 13 loci with suggestive evidence for an association with the sense of smell (Pmeta effects on the expression of microtubule-associated protein tau (MAPT, 17q21.31) in 447 frontal-cortex samples obtained postmortem and profiled by RNA-seq (P smell in older adults. Similar results were obtained after excluding participants who reported a physician-diagnosed PD or use of PD medications. In conclusion, we provide preliminary evidence that the MAPT locus may play a role in regulating the sense of smell in older adults and therefore offer a potential genetic link between poor sense of smell and major neurodegenerative diseases.

  8. Genome-wide analysis of interactions between ATP-dependent chromatin remodeling and histone modifications

    Directory of Open Access Journals (Sweden)

    Wang Jiang

    2009-07-01

    Full Text Available Abstract Background ATP-dependent chromatin remodeling and the covalent modification of histones play central roles in determining chromatin structure and function. Although several specific interactions between these two activities have been elaborated, the global landscape remains to be elucidated. Results In this paper, we have developed a computational method to generate the first genome-wide landscape of interactions between ATP-dependent chromatin remodeling and the covalent modification of histones in Saccharomyces cerevisiae. Our method succeeds in identifying known interactions and uncovers many previously unknown interactions between these two activities. Analysis of the genome-wide picture revealed that transcription-related modifications tend to interact with more chromatin remodelers. Our results also demonstrate that most chromatin remodeling-modification interactions act via interactions of remodelers with both histone-modifying enzymes and histone residues. We also found that the co-occurrence of both modification and remodeling has significantly different influences on multiple gene features (e.g. nucleosome occupancy compared with the presence of either one. Conclusion We gave the first genome-wide picture of ATP-dependent chromatin remodeling-histone modification interactions. We also revealed how these two activities work together to regulate chromatin structure and function. Our results suggest that distinct strategies for regulating chromatin activity are selectively employed by genes with different properties.

  9. Dose dependent impact of recent alcohol use on genome wide DNA methylation signatures

    Directory of Open Access Journals (Sweden)

    Robert ePhilibert

    2012-04-01

    Full Text Available Chronic alcohol intake is associated with a wide variety of adverse health outcomes including depression, diabetes and heart disease. Unfortunately, the molecular mechanisms through which these effects are conveyed are not clearly understood. To examine the potential role of epigenetic factors in this process, we examined the relationship of recent alcohol intake to genome wide methylation patterns using the Illumina 450 Methylation Bead Chip and lymphoblast DNA derived from 165 female subjects participating in the Iowa Adoption Studies. We found that the pattern of alcohol use over the 6 months immediately prior to phlebotomy was associated with stepwise, severity -dependent changes in the degree of genome wide methylation that preferentially hypermethylate the central portion of CpG islands with methylation at cg05600126, a probe in ABR, attaining genome wide significance. Gene pathway analysis of nominally significantly differentiated probes demonstrated that chronic alcohol use has profound effects on a diverse cadre of cellular metabolic pathways. We conclude that recent alcohol use is associated with widespread changes in DNA methylation in women and that further study to confirm these findings and determine their relationship to somatic function are in order.

  10. Genome-wide association study of hepatitis C virus- and cryoglobulin-related vasculitis.

    Science.gov (United States)

    Zignego, A L; Wojcik, G L; Cacoub, P; Visentini, M; Casato, M; Mangia, A; Latanich, R; Charles, E D; Gragnani, L; Terrier, B; Piazzola, V; Dustin, L B; Khakoo, S I; Busch, M P; Lauer, G M; Kim, A Y; Alric, L; Thomas, D L; Duggal, P

    2014-10-01

    The host genetic basis of mixed cryoglobulin vasculitis is not well understood and has not been studied in large cohorts. A genome-wide association study was conducted among 356 hepatitis C virus (HCV) RNA-positive individuals with cryoglobulin-related vasculitis and 447 ethnically matched, HCV RNA-positive controls. All cases had both serum cryoglobulins and a vasculitis syndrome. A total of 899 641 markers from the Illumina HumanOmni1-Quad chip were analyzed using logistic regression adjusted for sex, as well as genetically determined ancestry. Replication of select single-nucleotide polymorphisms (SNPs) was conducted using 91 cases and 180 controls, adjusting for sex and country of origin. The most significant associations were identified on chromosome 6 near the NOTCH4 and MHC class II genes. A genome-wide significant association was detected on chromosome 6 at SNP rs9461776 (odds ratio=2.16, P=1.16E-07) between HLA-DRB1 and DQA1: this association was further replicated in additional independent samples (meta-analysis P=7.1 × 10(-9)). A genome-wide significant association with cryoglobulin-related vasculitis was identified with SNPs near NOTCH4 and MHC Class II genes. The two regions are correlated and it is difficult to disentangle which gene is responsible for the association with mixed cryoglobulinemia vasculitis in this extended major histocompatibility complex region.

  11. Genome-wide Association Study of Obsessive-Compulsive Disorder

    Science.gov (United States)

    Stewart, S Evelyn; Yu, Dongmei; Scharf, Jeremiah M; Neale, Benjamin M; Fagerness, Jesen A; Mathews, Carol A; Arnold, Paul D; Evans, Patrick D; Gamazon, Eric R; Osiecki, Lisa; McGrath, Lauren; Haddad, Stephen; Crane, Jacquelyn; Hezel, Dianne; Illman, Cornelia; Mayerfeld, Catherine; Konkashbaev, Anuar; Liu, Chunyu; Pluzhnikov, Anna; Tikhomirov, Anna; Edlund, Christopher K; Rauch, Scott L; Moessner, Rainald; Falkai, Peter; Maier, Wolfgang; Ruhrmann, Stephan; Grabe, Hans-Jörgen; Lennertz, Leonard; Wagner, Michael; Bellodi, Laura; Cavallini, Maria Cristina; Richter, Margaret A; Cook, Edwin H; Kennedy, James L; Rosenberg, David; Stein, Dan J; Hemmings, Sian MJ; Lochner, Christine; Azzam, Amin; Chavira, Denise A; Fournier, Eduardo; Garrido, Helena; Sheppard, Brooke; Umaña, Paul; Murphy, Dennis L; Wendland, Jens R; Veenstra-VanderWeele, Jeremy; Denys, Damiaan; Blom, Rianne; Deforce, Dieter; Van Nieuwerburgh, Filip; Westenberg, Herman GM; Walitza, Susanne; Egberts, Karin; Renner, Tobias; Miguel, Euripedes Constantino; Cappi, Carolina; Hounie, Ana G; Conceição do Rosário, Maria; Sampaio, Aline S; Vallada, Homero; Nicolini, Humberto; Lanzagorta, Nuria; Camarena, Beatriz; Delorme, Richard; Leboyer, Marion; Pato, Carlos N; Pato, Michele T; Voyiaziakis, Emanuel; Heutink, Peter; Cath, Danielle C; Posthuma, Danielle; Smit, Jan H; Samuels, Jack; Bienvenu, O Joseph; Cullen, Bernadette; Fyer, Abby J; Grados, Marco A; Greenberg, Benjamin D; McCracken, James T; Riddle, Mark A; Wang, Ying; Coric, Vladimir; Leckman, James F; Bloch, Michael; Pittenger, Christopher; Eapen, Valsamma; Black, Donald W; Ophoff, Roel A; Strengman, Eric; Cusi, Daniele; Turiel, Maurizio; Frau, Francesca; Macciardi, Fabio; Gibbs, J Raphael; Cookson, Mark R; Singleton, Andrew; Hardy, John; Crenshaw, Andrew T; Parkin, Melissa A; Mirel, Daniel B; Conti, David V; Purcell, Shaun; Nestadt, Gerald; Hanna, Gregory L; Jenike, Michael A; Knowles, James A; Cox, Nancy; Pauls, David L

    2014-01-01

    Obsessive-compulsive disorder (OCD) is a common, debilitating neuropsychiatric illness with complex genetic etiology. The International OCD Foundation Genetics Collaborative (IOCDF-GC) is a multi-national collaboration established to discover the genetic variation predisposing to OCD. A set of individuals affected with DSM-IV OCD, a subset of their parents, and unselected controls, were genotyped with several different Illumina SNP microarrays. After extensive data cleaning, 1,465 cases, 5,557 ancestry-matched controls and 400 complete trios remained, with a common set of 469,410 autosomal and 9,657 X-chromosome SNPs. Ancestry-stratified case-control association analyses were conducted for three genetically-defined subpopulations and combined in two meta-analyses, with and without the trio-based analysis. In the case-control analysis, the lowest two p-values were located within DLGAP1 (p=2.49×10-6 and p=3.44×10-6), a member of the neuronal postsynaptic density complex. In the trio analysis, rs6131295, near BTBD3, exceeded the genome-wide significance threshold with a p-value=3.84 × 10-8. However, when trios were meta-analyzed with the combined case-control samples, the p-value for this variant was 3.62×10-5, losing genome-wide significance. Although no SNPs were identified to be associated with OCD at a genome-wide significant level in the combined trio-case-control sample, a significant enrichment of methylation-QTLs (p<0.001) and frontal lobe eQTLs (p=0.001) was observed within the top-ranked SNPs (p<0.01) from the trio-case-control analysis, suggesting these top signals may have a broad role in gene expression in the brain, and possibly in the etiology of OCD. PMID:22889921

  12. Genome-wide landscapes of human local adaptation in Asia.

    Directory of Open Access Journals (Sweden)

    Wei Qian

    Full Text Available Genetic studies of human local adaptation have been facilitated greatly by recent advances in high-throughput genotyping and sequencing technologies. However, few studies have investigated local adaptation in Asian populations on a genome-wide scale and with a high geographic resolution. In this study, taking advantage of the dense population coverage in Southeast Asia, which is the part of the world least studied in term of natural selection, we depicted genome-wide landscapes of local adaptations in 63 Asian populations representing the majority of linguistic and ethnic groups in Asia. Using genome-wide data analysis, we discovered many genes showing signs of local adaptation or natural selection. Notable examples, such as FOXQ1, MAST2, and CDH4, were found to play a role in hair follicle development and human cancer, signal transduction, and tumor repression, respectively. These showed strong indications of natural selection in Philippine Negritos, a group of aboriginal hunter-gatherers living in the Philippines. MTTP, which has associations with metabolic syndrome, body mass index, and insulin regulation, showed a strong signature of selection in Southeast Asians, including Indonesians. Functional annotation analysis revealed that genes and genetic variants underlying natural selections were generally enriched in the functional category of alternative splicing. Specifically, many genes showing significant difference with respect to allele frequency between northern and southern Asian populations were found to be associated with human height and growth and various immune pathways. In summary, this study contributes to the overall understanding of human local adaptation in Asia and has identified both known and novel signatures of natural selection in the human genome.

  13. Genome-wide association studies and contribution to cardiovascular physiology.

    Science.gov (United States)

    Munroe, Patricia B; Tinker, Andrew

    2015-09-01

    The study of family pedigrees with rare monogenic cardiovascular disorders has revealed new molecular players in physiological processes. Genome-wide association studies of complex traits with a heritable component may afford a similar and potentially intellectually richer opportunity. In this review we focus on the interpretation of genetic associations and the issue of causality in relation to known and potentially new physiology. We mainly discuss cardiometabolic traits as it reflects our personal interests, but the issues pertain broadly in many other disciplines. We also describe some of the resources that are now available that may expedite follow up of genetic association signals into observations on causal mechanisms and pathophysiology.

  14. [Genome-wide association study for adolescent idiopathic scoliosis].

    Science.gov (United States)

    Ogura, Yoji; Kou, Ikuyo; Scoliosis, Japan; Matsumoto, Morio; Watanabe, Kota; Ikegawa, Shiro

    2016-04-01

    Adolescent idiopathic scoliosis(AIS)is a polygenic disease. Genome-wide association studies(GWASs)have been performed for a lot of polygenic diseases. For AIS, we conducted GWAS and identified the first AIS locus near LBX1. After the discovery, we have extended our study by increasing the numbers of subjects and SNPs. In total, our Japanese GWAS has identified four susceptibility genes. GWASs for AIS have also been performed in the USA and China, which identified one and three susceptibility genes, respectively. Here we review GWASs in Japan and abroad and functional analysis to clarify the pathomechanism of AIS.

  15. Genome-wide approaches to understanding behaviour in Drosophila melanogaster.

    Science.gov (United States)

    Neville, Megan; Goodwin, Stephen F

    2012-09-01

    Understanding how an organism exhibits specific behaviours remains a major and important biological question. Studying behaviour in a simple model organism like the fruit fly Drosophila melanogaster has the advantages of advanced molecular genetics approaches along with well-defined anatomy and physiology. With advancements in functional genomic technologies, researchers are now attempting to uncover genes and pathways involved in complex behaviours on a genome-wide scale. A systems-level network approach, which will include genomic approaches, to study behaviour will be key to understanding the regulation and modulation of behaviours and the importance of context in regulating them.

  16. Arabidopsis transcription factors: genome-wide comparative analysis among eukaryotes.

    Science.gov (United States)

    Riechmann, J L; Heard, J; Martin, G; Reuber, L; Jiang, C; Keddie, J; Adam, L; Pineda, O; Ratcliffe, O J; Samaha, R R; Creelman, R; Pilgrim, M; Broun, P; Zhang, J Z; Ghandehari, D; Sherman, B K; Yu, G

    2000-12-15

    The completion of the Arabidopsis thaliana genome sequence allows a comparative analysis of transcriptional regulators across the three eukaryotic kingdoms. Arabidopsis dedicates over 5% of its genome to code for more than 1500 transcription factors, about 45% of which are from families specific to plants. Arabidopsis transcription factors that belong to families common to all eukaryotes do not share significant similarity with those of the other kingdoms beyond the conserved DNA binding domains, many of which have been arranged in combinations specific to each lineage. The genome-wide comparison reveals the evolutionary generation of diversity in the regulation of transcription.

  17. Genome-wide identification and characterisation of R2R3-MYB genes in sugar beet (Beta vulgaris).

    Science.gov (United States)

    Stracke, Ralf; Holtgräwe, Daniela; Schneider, Jessica; Pucker, Boas; Sörensen, Thomas Rosleff; Weisshaar, Bernd

    2014-09-25

    The R2R3-MYB genes comprise one of the largest transcription factor gene families in plants, playing regulatory roles in plant-specific developmental processes, metabolite accumulation and defense responses. Although genome-wide analysis of this gene family has been carried out in some species, the R2R3-MYB genes in Beta vulgaris ssp. vulgaris (sugar beet) as the first sequenced member of the order Caryophyllales, have not been analysed heretofore. We present a comprehensive, genome-wide analysis of the MYB genes from Beta vulgaris ssp. vulgaris (sugar beet) which is the first species of the order Caryophyllales with a sequenced genome. A total of 70 R2R3-MYB genes as well as genes encoding three other classes of MYB proteins containing multiple MYB repeats were identified and characterised with respect to structure and chromosomal organisation. Also, organ specific expression patterns were determined from RNA-seq data. The R2R3-MYB genes were functionally categorised which led to the identification of a sugar beet-specific clade with an atypical amino acid composition in the R3 domain, putatively encoding betalain regulators. The functional classification was verified by experimental confirmation of the prediction that the R2R3-MYB gene Bv_iogq encodes a flavonol regulator. This study provides the first step towards cloning and functional dissection of the role of MYB transcription factor genes in the nutritionally and evolutionarily interesting species B. vulgaris. In addition, it describes the flavonol regulator BvMYB12, being the first sugar beet R2R3-MYB with an experimentally proven function.

  18. A genome-wide association study of female sexual dysfunction.

    Directory of Open Access Journals (Sweden)

    Andrea Burri

    Full Text Available BACKGROUND: Female sexual dysfunction (FSD is an important but controversial problem with serious negative impact on women's quality of life. Data from twin studies have shown a genetic contribution to the development and maintenance of FSD. METHODOLOGY/PRINCIPAL FINDINGS: We performed a genome-wide association study (GWAS on 2.5 million single-nucleotide polymorphisms (SNPs in 1,104 female twins (25-81 years of age in a population-based register and phenotypic data on lifelong sexual functioning. Although none reached conventional genome-wide level of significance (10 × -8, we found strongly suggestive associations with the phenotypic dimension of arousal (rs13202860, P = 1.2 × 10(-7; rs1876525, P = 1.2 × 10(-7; and rs13209281 P = 8.3 × 10(-7 on chromosome 6, around 500 kb upstream of the locus HTR1E (5-hydroxytryptamine receptor 1E locus, related to the serotonin brain pathways. We could not replicate previously reported candidate SNPs associated with FSD in the DRD4, 5HT2A and IL-1B loci. CONCLUSIONS/SIGNIFICANCE: We report the first GWAS of FSD symptoms in humans. This has pointed to several "risk alleles" and the implication of the serotonin and GABA pathways. Ultimately, understanding key mechanisms via this research may lead to new FSD treatments and inform clinical practice and developments in psychiatric nosology.

  19. A genome-wide association study of aging.

    Science.gov (United States)

    Walter, Stefan; Atzmon, Gil; Demerath, Ellen W; Garcia, Melissa E; Kaplan, Robert C; Kumari, Meena; Lunetta, Kathryn L; Milaneschi, Yuri; Tanaka, Toshiko; Tranah, Gregory J; Völker, Uwe; Yu, Lei; Arnold, Alice; Benjamin, Emelia J; Biffar, Reiner; Buchman, Aron S; Boerwinkle, Eric; Couper, David; De Jager, Philip L; Evans, Denis A; Harris, Tamara B; Hoffmann, Wolfgang; Hofman, Albert; Karasik, David; Kiel, Douglas P; Kocher, Thomas; Kuningas, Maris; Launer, Lenore J; Lohman, Kurt K; Lutsey, Pamela L; Mackenbach, Johan; Marciante, Kristin; Psaty, Bruce M; Reiman, Eric M; Rotter, Jerome I; Seshadri, Sudha; Shardell, Michelle D; Smith, Albert V; van Duijn, Cornelia; Walston, Jeremy; Zillikens, M Carola; Bandinelli, Stefania; Baumeister, Sebastian E; Bennett, David A; Ferrucci, Luigi; Gudnason, Vilmundur; Kivimaki, Mika; Liu, Yongmei; Murabito, Joanne M; Newman, Anne B; Tiemeier, Henning; Franceschini, Nora

    2011-11-01

    Human longevity and healthy aging show moderate heritability (20%-50%). We conducted a meta-analysis of genome-wide association studies from 9 studies from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium for 2 outcomes: (1) all-cause mortality, and (2) survival free of major disease or death. No single nucleotide polymorphism (SNP) was a genome-wide significant predictor of either outcome (p < 5 × 10(-8)). We found 14 independent SNPs that predicted risk of death, and 8 SNPs that predicted event-free survival (p < 10(-5)). These SNPs are in or near genes that are highly expressed in the brain (HECW2, HIP1, BIN2, GRIA1), genes involved in neural development and function (KCNQ4, LMO4, GRIA1, NETO1) and autophagy (ATG4C), and genes that are associated with risk of various diseases including cancer and Alzheimer's disease. In addition to considerable overlap between the traits, pathway and network analysis corroborated these findings. These findings indicate that variation in genes involved in neurological processes may be an important factor in regulating aging free of major disease and achieving longevity.

  20. A Pooled Genome-Wide Association Study of Asperger Syndrome.

    Directory of Open Access Journals (Sweden)

    Varun Warrier

    Full Text Available Asperger Syndrome (AS is a neurodevelopmental condition characterized by impairments in social interaction and communication, alongside the presence of unusually repetitive, restricted interests and stereotyped behaviour. Individuals with AS have no delay in cognitive and language development. It is a subset of Autism Spectrum Conditions (ASC, which are highly heritable and has a population prevalence of approximately 1%. Few studies have investigated the genetic basis of AS. To address this gap in the literature, we performed a genome-wide pooled DNA association study to identify candidate loci in 612 individuals (294 cases and 318 controls of Caucasian ancestry, using the Affymetrix GeneChip Human Mapping version 6.0 array. We identified 11 SNPs that had a p-value below 1x10-5. These SNPs were independently genotyped in the same sample. Three of the SNPs (rs1268055, rs7785891 and rs2782448 were nominally significant, though none remained significant after Bonferroni correction. Two of our top three SNPs (rs7785891 and rs2782448 lie in loci previously implicated in ASC. However, investigation of the three SNPs in the ASC genome-wide association dataset from the Psychiatric Genomics Consortium indicated that these three SNPs were not significantly associated with ASC. The effect sizes of the variants were modest, indicating that our study was not sufficiently powered to identify causal variants with precision.

  1. A Pooled Genome-Wide Association Study of Asperger Syndrome.

    Science.gov (United States)

    Warrier, Varun; Chakrabarti, Bhismadev; Murphy, Laura; Chan, Allen; Craig, Ian; Mallya, Uma; Lakatošová, Silvia; Rehnstrom, Karola; Peltonen, Leena; Wheelwright, Sally; Allison, Carrie; Fisher, Simon E; Baron-Cohen, Simon

    2015-01-01

    Asperger Syndrome (AS) is a neurodevelopmental condition characterized by impairments in social interaction and communication, alongside the presence of unusually repetitive, restricted interests and stereotyped behaviour. Individuals with AS have no delay in cognitive and language development. It is a subset of Autism Spectrum Conditions (ASC), which are highly heritable and has a population prevalence of approximately 1%. Few studies have investigated the genetic basis of AS. To address this gap in the literature, we performed a genome-wide pooled DNA association study to identify candidate loci in 612 individuals (294 cases and 318 controls) of Caucasian ancestry, using the Affymetrix GeneChip Human Mapping version 6.0 array. We identified 11 SNPs that had a p-value below 1x10-5. These SNPs were independently genotyped in the same sample. Three of the SNPs (rs1268055, rs7785891 and rs2782448) were nominally significant, though none remained significant after Bonferroni correction. Two of our top three SNPs (rs7785891 and rs2782448) lie in loci previously implicated in ASC. However, investigation of the three SNPs in the ASC genome-wide association dataset from the Psychiatric Genomics Consortium indicated that these three SNPs were not significantly associated with ASC. The effect sizes of the variants were modest, indicating that our study was not sufficiently powered to identify causal variants with precision.

  2. Genome-wide patterns of Arabidopsis gene expression in nature.

    Directory of Open Access Journals (Sweden)

    Christina L Richards

    Full Text Available Organisms in the wild are subject to multiple, fluctuating environmental factors, and it is in complex natural environments that genetic regulatory networks actually function and evolve. We assessed genome-wide gene expression patterns in the wild in two natural accessions of the model plant Arabidopsis thaliana and examined the nature of transcriptional variation throughout its life cycle and gene expression correlations with natural environmental fluctuations. We grew plants in a natural field environment and measured genome-wide time-series gene expression from the plant shoot every three days, spanning the seedling to reproductive stages. We find that 15,352 genes were expressed in the A. thaliana shoot in the field, and accession and flowering status (vegetative versus flowering were strong components of transcriptional variation in this plant. We identified between ∼110 and 190 time-varying gene expression clusters in the field, many of which were significantly overrepresented by genes regulated by abiotic and biotic environmental stresses. The two main principal components of vegetative shoot gene expression (PC(veg correlate to temperature and precipitation occurrence in the field. The largest PC(veg axes included thermoregulatory genes while the second major PC(veg was associated with precipitation and contained drought-responsive genes. By exposing A. thaliana to natural environments in an open field, we provide a framework for further understanding the genetic networks that are deployed in natural environments, and we connect plant molecular genetics in the laboratory to plant organismal ecology in the wild.

  3. Genome-wide patterns of nucleotide polymorphism in domesticated rice.

    Directory of Open Access Journals (Sweden)

    Ana L Caicedo

    2007-09-01

    Full Text Available Domesticated Asian rice (Oryza sativa is one of the oldest domesticated crop species in the world, having fed more people than any other plant in human history. We report the patterns of DNA sequence variation in rice and its wild ancestor, O. rufipogon, across 111 randomly chosen gene fragments, and use these to infer the evolutionary dynamics that led to the origins of rice. There is a genome-wide excess of high-frequency derived single nucleotide polymorphisms (SNPs in O. sativa varieties, a pattern that has not been reported for other crop species. We developed several alternative models to explain contemporary patterns of polymorphisms in rice, including a (i selectively neutral population bottleneck model, (ii bottleneck plus migration model, (iii multiple selective sweeps model, and (iv bottleneck plus selective sweeps model. We find that a simple bottleneck model, which has been the dominant demographic model for domesticated species, cannot explain the derived nucleotide polymorphism site frequency spectrum in rice. Instead, a bottleneck model that incorporates selective sweeps, or a more complex demographic model that includes subdivision and gene flow, are more plausible explanations for patterns of variation in domesticated rice varieties. If selective sweeps are indeed the explanation for the observed nucleotide data of domesticated rice, it suggests that strong selection can leave its imprint on genome-wide polymorphism patterns, contrary to expectations that selection results only in a local signature of variation.

  4. Genome-wide mapping of DNA methylation in chicken.

    Directory of Open Access Journals (Sweden)

    Qinghe Li

    Full Text Available Cytosine DNA methylation is an important epigenetic modification termed as the fifth base that functions in diverse processes. Till now, the genome-wide DNA methylation maps of many organisms has been reported, such as human, Arabidopsis, rice and silkworm, but the methylation pattern of bird remains rarely studied. Here we show the genome-wide DNA methylation map of bird, using the chicken as a model organism and an immunocapturing approach followed by high-throughput sequencing. In both of the red jungle fowl and the avian broiler, DNA methylation was described separately for the liver and muscle tissue. Generally, chicken displays analogous methylation pattern with that of animals and plants. DNA methylation is enriched in the gene body regions and the repetitive sequences, and depleted in the transcription start site (TSS and the transcription termination site (TTS. Most of the CpG islands in the chicken genome are kept in unmethylated state. Promoter methylation is negatively correlated with the gene expression level, indicating its suppressive role in regulating gene transcription. This work contributes to our understanding of epigenetics in birds.

  5. Genome-Wide Scan for Methylation Profiles in Keloids

    Directory of Open Access Journals (Sweden)

    Lamont R. Jones

    2015-01-01

    Full Text Available Keloids are benign fibroproliferative tumors of the skin which commonly occur after injury mainly in darker skinned patients. Medical treatment is fraught with high recurrence rates mainly because of an incomplete understanding of the biological mechanisms that lead to keloids. The purpose of this project was to examine keloid pathogenesis from the epigenome perspective of DNA methylation. Genome-wide profiling used the Infinium HumanMethylation450 BeadChip to interrogate DNA from 6 fresh keloid and 6 normal skin samples from 12 anonymous donors. A 3-tiered approach was used to call out genes most differentially methylated between keloid and normal. When compared to normal, of the 685 differentially methylated CpGs at Tier 3, 510 were hypomethylated and 175 were hypermethylated with 190 CpGs in promoter and 495 in nonpromoter regions. The 190 promoter region CpGs corresponded to 152 genes: 96 (63% were hypomethylated and 56 (37% hypermethylated. This exploratory genome-wide scan of the keloid methylome highlights a predominance of hypomethylated genomic landscapes, favoring nonpromoter regions. DNA methylation, as an additional mechanism for gene regulation in keloid pathogenesis, holds potential for novel treatments that reverse deleterious epigenetic changes. As an alternative mechanism for regulating genes, epigenetics may explain why gene mutations alone do not provide definitive mechanisms for keloid formation.

  6. Shared genetic susceptibility to ischemic stroke and coronary artery disease – a genome-wide analysis of common variants

    Science.gov (United States)

    Dichgans, Martin; Malik, Rainer; König, Inke R.; Rosand, Jonathan; Clarke, Robert; Gretarsdottir, Solveig; Thorleifsson, Gudmar; Mitchell, Braxton D.; Assimes, Themistocles L.; Levi, Christopher; O′Donnell, Christopher J.; Fornage, Myriam; Thorsteinsdottir, Unnur; Psaty, Bruce M.; Hengstenberg, Christian; Seshadri, Sudha; Erdmann, Jeanette; Bis, Joshua C.; Peters, Annette; Boncoraglio, Giorgio B.; März, Winfried; Meschia, James F.; Kathiresan, Sekar; Ikram, M. Arfan; McPherson, Ruth; Stefansson, Kari; Sudlow, Cathie; Reilly, Muredach P.; Thompson, John R.; Sharma, Pankaj; Hopewell, Jemma C.; Chambers, John C.; Watkins, Hugh; Rothwell, Peter M.; Roberts, Robert; Markus, Hugh S.; Samani, Nilesh J.; Farrall, Martin; Schunkert, Heribert

    2014-01-01

    Summary Background and Purpose Ischemic stroke (IS) and coronary artery disease (CAD) share several risk factors and each have a substantial heritability. We conducted a genome-wide analysis to evaluate the extent of shared genetic determination of the two diseases. Methods Genome-wide association data were obtained from the METASTROKE, CARDIoGRAM, and C4D consortia. We first analyzed common variants reaching a nominal threshold of significance (pstroke (LAS) subtype. Results Common variants associated with CAD at pgenetic risk of ischemic stroke and particularly the large artery stroke subtype with coronary artery disease. PMID:24262325

  7. Nine Loci for Ocular Axial Length Identified through Genome-wide Association Studies, Including Shared Loci with Refractive Error

    OpenAIRE

    Cheng, Ching-Yu; Schache, Maria; Ikram, M. Kamran; Young, Terri L.; Guggenheim, Jeremy A.; Vitart, Veronique; MacGregor, Stuart; Verhoeven, Virginie J.M.; Barathi, Veluchamy A.; Liao, Jiemin; Hysi, Pirro G.; Bailey-Wilson, Joan E.; St. Pourcain, Beate; Kemp, John P.; McMahon, George

    2013-01-01

    Refractive errors are common eye disorders of public health importance worldwide. Ocular axial length (AL) is the major determinant of refraction and thus of myopia and hyperopia. We conducted a meta-analysis of genome-wide association studies for AL, combining 12,531 Europeans and 8,216 Asians. We identified eight genome-wide significant loci for AL (RSPO1, C3orf26, LAMA2, GJD2, ZNRF3, CD55, MIP, and ALPPL2) and confirmed one previously reported AL locus (ZC3H11B). Of the nine loci, five (LA...

  8. A genome-wide association study of optic disc parameters.

    Directory of Open Access Journals (Sweden)

    Wishal D Ramdas

    2010-06-01

    Full Text Available The optic nerve head is involved in many ophthalmic disorders, including common diseases such as myopia and open-angle glaucoma. Two of the most important parameters are the size of the optic disc area and the vertical cup-disc ratio (VCDR. Both are highly heritable but genetically largely undetermined. We performed a meta-analysis of genome-wide association (GWA data to identify genetic variants associated with optic disc area and VCDR. The gene discovery included 7,360 unrelated individuals from the population-based Rotterdam Study I and Rotterdam Study II cohorts. These cohorts revealed two genome-wide significant loci for optic disc area, rs1192415 on chromosome 1p22 (p = 6.72x10(-19 within 117 kb of the CDC7 gene and rs1900004 on chromosome 10q21.3-q22.1 (p = 2.67x10(-33 within 10 kb of the ATOH7 gene. They revealed two genome-wide significant loci for VCDR, rs1063192 on chromosome 9p21 (p = 6.15x10(-11 in the CDKN2B gene and rs10483727 on chromosome 14q22.3-q23 (p = 2.93x10(-10 within 40 kbp of the SIX1 gene. Findings were replicated in two independent Dutch cohorts (Rotterdam Study III and Erasmus Rucphen Family study; N = 3,612, and the TwinsUK cohort (N = 843. Meta-analysis with the replication cohorts confirmed the four loci and revealed a third locus at 16q12.1 associated with optic disc area, and four other loci at 11q13, 13q13, 17q23 (borderline significant, and 22q12.1 for VCDR. ATOH7 was also associated with VCDR independent of optic disc area. Three of the loci were marginally associated with open-angle glaucoma. The protein pathways in which the loci of optic disc area are involved overlap with those identified for VCDR, suggesting a common genetic origin.

  9. Genome-wide Pleiotropy Between Parkinson Disease and Autoimmune Diseases.

    Science.gov (United States)

    Witoelar, Aree; Jansen, Iris E; Wang, Yunpeng; Desikan, Rahul S; Gibbs, J Raphael; Blauwendraat, Cornelis; Thompson, Wesley K; Hernandez, Dena G; Djurovic, Srdjan; Schork, Andrew J; Bettella, Francesco; Ellinghaus, David; Franke, Andre; Lie, Benedicte A; McEvoy, Linda K; Karlsen, Tom H; Lesage, Suzanne; Morris, Huw R; Brice, Alexis; Wood, Nicholas W; Heutink, Peter; Hardy, John; Singleton, Andrew B; Dale, Anders M; Gasser, Thomas; Andreassen, Ole A; Sharma, Manu

    2017-07-01

    Recent genome-wide association studies (GWAS) and pathway analyses supported long-standing observations of an association between immune-mediated diseases and Parkinson disease (PD). The post-GWAS era provides an opportunity for cross-phenotype analyses between different complex phenotypes. To test the hypothesis that there are common genetic risk variants conveying risk of both PD and autoimmune diseases (ie, pleiotropy) and to identify new shared genetic variants and their pathways by applying a novel statistical framework in a genome-wide approach. Using the conjunction false discovery rate method, this study analyzed GWAS data from a selection of archetypal autoimmune diseases among 138 511 individuals of European ancestry and systemically investigated pleiotropy between PD and type 1 diabetes, Crohn disease, ulcerative colitis, rheumatoid arthritis, celiac disease, psoriasis, and multiple sclerosis. NeuroX data (6927 PD cases and 6108 controls) were used for replication. The study investigated the biological correlation between the top loci through protein-protein interaction and changes in the gene expression and methylation levels. The dates of the analysis were June 10, 2015, to March 4, 2017. The primary outcome was a list of novel loci and their pathways involved in PD and autoimmune diseases. Genome-wide conjunctional analysis identified 17 novel loci at false discovery rate less than 0.05 with overlap between PD and autoimmune diseases, including known PD loci adjacent to GAK, HLA-DRB5, LRRK2, and MAPT for rheumatoid arthritis, ulcerative colitis and Crohn disease. Replication confirmed the involvement of HLA, LRRK2, MAPT, TRIM10, and SETD1A in PD. Among the novel genes discovered, WNT3, KANSL1, CRHR1, BOLA2, and GUCY1A3 are within a protein-protein interaction network with known PD genes. A subset of novel loci was significantly associated with changes in methylation or expression levels of adjacent genes. The study findings provide novel mechanistic

  10. Genome-wide association study of antisocial personality disorder

    Science.gov (United States)

    Rautiainen, M-R; Paunio, T; Repo-Tiihonen, E; Virkkunen, M; Ollila, H M; Sulkava, S; Jolanki, O; Palotie, A; Tiihonen, J

    2016-01-01

    The pathophysiology of antisocial personality disorder (ASPD) remains unclear. Although the most consistent biological finding is reduced grey matter volume in the frontal cortex, about 50% of the total liability to developing ASPD has been attributed to genetic factors. The contributing genes remain largely unknown. Therefore, we sought to study the genetic background of ASPD. We conducted a genome-wide association study (GWAS) and a replication analysis of Finnish criminal offenders fulfilling DSM-IV criteria for ASPD (N=370, N=5850 for controls, GWAS; N=173, N=3766 for controls and replication sample). The GWAS resulted in suggestive associations of two clusters of single-nucleotide polymorphisms at 6p21.2 and at 6p21.32 at the human leukocyte antigen (HLA) region. Imputation of HLA alleles revealed an independent association with DRB1*01:01 (odds ratio (OR)=2.19 (1.53–3.14), P=1.9 × 10-5). Two polymorphisms at 6p21.2 LINC00951–LRFN2 gene region were replicated in a separate data set, and rs4714329 reached genome-wide significance (OR=1.59 (1.37–1.85), P=1.6 × 10−9) in the meta-analysis. The risk allele also associated with antisocial features in the general population conditioned for severe problems in childhood family (β=0.68, P=0.012). Functional analysis in brain tissue in open access GTEx and Braineac databases revealed eQTL associations of rs4714329 with LINC00951 and LRFN2 in cerebellum. In humans, LINC00951 and LRFN2 are both expressed in the brain, especially in the frontal cortex, which is intriguing considering the role of the frontal cortex in behavior and the neuroanatomical findings of reduced gray matter volume in ASPD. To our knowledge, this is the first study showing genome-wide significant and replicable findings on genetic variants associated with any personality disorder. PMID:27598967

  11. Genome-wide identification and characterization of aquaporin gene family in common bean (Phaseolus vulgaris L.).

    Science.gov (United States)

    Ariani, Andrea; Gepts, Paul

    2015-10-01

    Plant aquaporins are a large and diverse family of water channel proteins that are essential for several physiological processes in living organisms. Numerous studies have linked plant aquaporins with a plethora of processes, such as nutrient acquisition, CO2 transport, plant growth and development, and response to abiotic stresses. However, little is known about this protein family in common bean. Here, we present a genome-wide identification of the aquaporin gene family in common bean (Phaseolus vulgaris L.), a legume crop essential for human nutrition. We identified 41 full-length coding aquaporin sequences in the common bean genome, divided by phylogenetic analysis into five sub-families (PIPs, TIPs, NIPs, SIPs and XIPs). Residues determining substrate specificity of aquaporins (i.e., NPA motifs and ar/R selectivity filter) seem conserved between common bean and other plant species, allowing inference of substrate specificity for these proteins. Thanks to the availability of RNA-sequencing datasets, expression levels in different organs and in leaves of wild and domesticated bean accessions were evaluated. Three aquaporins (PvTIP1;1, PvPIP2;4 and PvPIP1;2) have the overall highest mean expressions, with PvTIP1;1 having the highest expression among all aquaporins. We performed an EST database mining to identify drought-responsive aquaporins in common bean. This analysis showed a significant increase in expression for PvTIP1;1 in drought stress conditions compared to well-watered environments. The pivotal role suggested for PvTIP1;1 in regulating water homeostasis and drought stress response in the common bean should be verified by further field experimentation under drought stress.

  12. Genome-wide association studies in pediatric chronic kidney disease.

    Science.gov (United States)

    Gupta, Jayanta; Kanetsky, Peter A; Wuttke, Matthias; Köttgen, Anna; Schaefer, Franz; Wong, Craig S

    2016-08-01

    The genome-wide association study (GWAS) has become an established scientific method that provides an unbiased screen for genetic loci potentially associated with phenotypes of clinical interest, such as chronic kidney disease (CKD). Thus, GWAS provides opportunities to gain new perspectives regarding the genetic architecture of CKD progression by identifying new candidate genes and targets for intervention. As such, it has become an important arm of translational science providing a complementary line of investigation to identify novel therapeutics to treat CKD. In this review, we describe the method and the challenges of performing GWAS in the pediatric CKD population. We also provide an overview of successful GWAS for kidney disease, and we discuss the established pediatric CKD cohorts in North America and Europe that are poised to identify genetic risk variants associated with CKD progression.

  13. Chapter 10: Mining genome-wide genetic markers.

    Directory of Open Access Journals (Sweden)

    Xiang Zhang

    Full Text Available Genome-wide association study (GWAS aims to discover genetic factors underlying phenotypic traits. The large number of genetic factors poses both computational and statistical challenges. Various computational approaches have been developed for large scale GWAS. In this chapter, we will discuss several widely used computational approaches in GWAS. The following topics will be covered: (1 An introduction to the background of GWAS. (2 The existing computational approaches that are widely used in GWAS. This will cover single-locus, epistasis detection, and machine learning methods that have been recently developed in biology, statistic, and computer science communities. This part will be the main focus of this chapter. (3 The limitations of current approaches and future directions.

  14. Genome-wide genetic changes during modern breeding of maize.

    Science.gov (United States)

    Jiao, Yinping; Zhao, Hainan; Ren, Longhui; Song, Weibin; Zeng, Biao; Guo, Jinjie; Wang, Baobao; Liu, Zhipeng; Chen, Jing; Li, Wei; Zhang, Mei; Xie, Shaojun; Lai, Jinsheng

    2012-06-03

    The success of modern maize breeding has been demonstrated by remarkable increases in productivity over the last four decades. However, the underlying genetic changes correlated with these gains remain largely unknown. We report here the sequencing of 278 temperate maize inbred lines from different stages of breeding history, including deep resequencing of 4 lines with known pedigree information. The results show that modern breeding has introduced highly dynamic genetic changes into the maize genome. Artificial selection has affected thousands of targets, including genes and non-genic regions, leading to a reduction in nucleotide diversity and an increase in the proportion of rare alleles. Genetic changes during breeding happen rapidly, with extensive variation (SNPs, indels and copy-number variants (CNVs)) occurring, even within identity-by-descent regions. Our genome-wide assessment of genetic changes during modern maize breeding provides new strategies as well as practical targets for future crop breeding and biotechnology.

  15. AID/APOBEC cytosine deaminase induces genome-wide kataegis

    Directory of Open Access Journals (Sweden)

    Lada Artem G

    2012-12-01

    Full Text Available Abstract Clusters of localized hypermutation in human breast cancer genomes, named “kataegis” (from the Greek for thunderstorm, are hypothesized to result from multiple cytosine deaminations catalyzed by AID/APOBEC proteins. However, a direct link between APOBECs and kataegis is still lacking. We have sequenced the genomes of yeast mutants induced in diploids by expression of the gene for PmCDA1, a hypermutagenic deaminase from sea lamprey. Analysis of the distribution of 5,138 induced mutations revealed localized clusters very similar to those found in tumors. Our data provide evidence that unleashed cytosine deaminase activity is an evolutionary conserved, prominent source of genome-wide kataegis events. Reviewers This article was reviewed by: Professor Sandor Pongor, Professor Shamil R. Sunyaev, and Dr Vladimir Kuznetsov.

  16. DNA Break Mapping Reveals Topoisomerase II Activity Genome-Wide

    Directory of Open Access Journals (Sweden)

    Laura Baranello

    2014-07-01

    Full Text Available Genomic DNA is under constant assault by endogenous and exogenous DNA damaging agents. DNA breakage can represent a major threat to genome integrity but can also be necessary for genome function. Here we present approaches to map DNA double-strand breaks (DSBs and single-strand breaks (SSBs at the genome-wide scale by two methods called DSB- and SSB-Seq, respectively. We tested these methods in human colon cancer cells and validated the results using the Topoisomerase II (Top2-poisoning agent etoposide (ETO. Our results show that the combination of ETO treatment with break-mapping techniques is a powerful method to elaborate the pattern of Top2 enzymatic activity across the genome.

  17. Genome-wide association study of serum selenium concentrations

    DEFF Research Database (Denmark)

    Gong, Jian; Hsu, Li; Harrison, Tabitha

    2013-01-01

    Selenium is an essential trace element and circulating selenium concentrations have been associated with a wide range of diseases. Candidate gene studies suggest that circulating selenium concentrations may be impacted by genetic variation; however, no study has comprehensively investigated...... this hypothesis. Therefore, we conducted a two-stage genome-wide association study to identify genetic variants associated with serum selenium concentrations in 1203 European descents from two cohorts: the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening and the Women’s Health Initiative (WHI). We...... tested association between 2,474,333 single nucleotide polymorphisms (SNPs) and serum selenium concentrations using linear regression models. In the first stage (PLCO) 41 SNPs clustered in 15 regions had p

  18. Genome-wide measurement of RNA folding energies.

    Science.gov (United States)

    Wan, Yue; Qu, Kun; Ouyang, Zhengqing; Kertesz, Michael; Li, Jun; Tibshirani, Robert; Makino, Debora L; Nutter, Robert C; Segal, Eran; Chang, Howard Y

    2012-10-26

    RNA structural transitions are important in the function and regulation of RNAs. Here, we reveal a layer of transcriptome organization in the form of RNA folding energies. By probing yeast RNA structures at different temperatures, we obtained relative melting temperatures (Tm) for RNA structures in over 4000 transcripts. Specific signatures of RNA Tm demarcated the polarity of mRNA open reading frames and highlighted numerous candidate regulatory RNA motifs in 3' untranslated regions. RNA Tm distinguished noncoding versus coding RNAs and identified mRNAs with distinct cellular functions. We identified thousands of putative RNA thermometers, and their presence is predictive of the pattern of RNA decay in vivo during heat shock. The exosome complex recognizes unpaired bases during heat shock to degrade these RNAs, coupling intrinsic structural stabilities to gene regulation. Thus, genome-wide structural dynamics of RNA can parse functional elements of the transcriptome and reveal diverse biological insights.

  19. Genome-wide transcriptional reprogramming under drought stress

    KAUST Repository

    Chen, Hao

    2012-01-01

    Soil water deficit is one of the major factors limiting plant productivity. Plants cope with this adverse environmental condition by coordinating the up- or downregulation of an array of stress responsive genes. Reprogramming the expression of these genes leads to rebalanced development and growth that are in concert with the reduced water availability and that ultimately confer enhanced stress tolerance. Currently, several techniques have been employed to monitor genome-wide transcriptional reprogramming under drought stress. The results from these high throughput studies indicate that drought stress-induced transcriptional reprogramming is dynamic, has temporal and spatial specificity, and is coupled with the circadian clock and phytohormone signaling pathways. © 2012 Springer-Verlag Berlin Heidelberg. All rights are reserved.

  20. A comparison of multivariate genome-wide association methods

    DEFF Research Database (Denmark)

    Galesloot, Tessel E; Van Steen, Kristel; Kiemeney, Lambertus A L M

    2014-01-01

    Joint association analysis of multiple traits in a genome-wide association study (GWAS), i.e. a multivariate GWAS, offers several advantages over analyzing each trait in a separate GWAS. In this study we directly compared a number of multivariate GWAS methods using simulated data. We focused on six...... methods that are implemented in the software packages PLINK, SNPTEST, MultiPhen, BIMBAM, PCHAT and TATES, and also compared them to standard univariate GWAS, analysis of the first principal component of the traits, and meta-analysis of univariate results. We simulated data (N = 1000) for three...... correlation. We compared the power of the methods using empirically fixed significance thresholds (α = 0.05). Our results showed that the multivariate methods implemented in PLINK, SNPTEST, MultiPhen and BIMBAM performed best for the majority of the tested scenarios, with a notable increase in power...

  1. Genome-Wide Association Study of Meiotic Recombination Phenotypes

    Science.gov (United States)

    Begum, Ferdouse; Chowdhury, Reshmi; Cheung, Vivian G.; Sherman, Stephanie L.; Feingold, Eleanor

    2016-01-01

    Meiotic recombination is an essential step in gametogenesis, and is one that also generates genetic diversity. Genome-wide association studies (GWAS) and molecular studies have identified genes that influence of human meiotic recombination. RNF212 is associated with total or average number of recombination events, and PRDM9 is associated with the locations of hotspots, or sequences where crossing over appears to cluster. In addition, a common inversion on chromosome 17 is strongly associated with recombination. Other genes have been identified by GWAS, but those results have not been replicated. In this study, using new datasets, we characterized additional recombination phenotypes to uncover novel candidates and further dissect the role of already known loci. We used three datasets totaling 1562 two-generation families, including 3108 parents with 4304 children. We estimated five different recombination phenotypes including two novel phenotypes (average recombination counts within recombination hotspots and outside of hotspots) using dense SNP array genotype data. We then performed gender-specific and combined-sex genome-wide association studies (GWAS) meta-analyses. We replicated associations for several previously reported recombination genes, including RNF212 and PRDM9. By looking specifically at recombination events outside of hotspots, we showed for the first time that PRDM9 has different effects in males and females. We identified several new candidate loci, particularly for recombination events outside of hotspots. These include regions near the genes SPINK6, EVC2, ARHGAP25, and DLGAP2. This study expands our understanding of human meiotic recombination by characterizing additional features that vary across individuals, and identifying regulatory variants influencing the numbers and locations of recombination events. PMID:27733454

  2. Genome-wide association and genomic selection in animal breeding.

    Science.gov (United States)

    Hayes, Ben; Goddard, Mike

    2010-11-01

    Results from genome-wide association studies in livestock, and humans, has lead to the conclusion that the effect of individual quantitative trait loci (QTL) on complex traits, such as yield, are likely to be small; therefore, a large number of QTL are necessary to explain genetic variation in these traits. Given this genetic architecture, gains from marker-assisted selection (MAS) programs using only a small number of DNA markers to trace a limited number of QTL is likely to be small. This has lead to the development of alternative technology for using the available dense single nucleotide polymorphism (SNP) information, called genomic selection. Genomic selection uses a genome-wide panel of dense markers so that all QTL are likely to be in linkage disequilibrium with at least one SNP. The genomic breeding values are predicted to be the sum of the effect of these SNPs across the entire genome. In dairy cattle breeding, the accuracy of genomic estimated breeding values (GEBV) that can be achieved and the fact that these are available early in life have lead to rapid adoption of the technology. Here, we discuss the design of experiments necessary to achieve accurate prediction of GEBV in future generations in terms of the number of markers necessary and the size of the reference population where marker effects are estimated. We also present a simple method for implementing genomic selection using a genomic relationship matrix. Future challenges discussed include using whole genome sequence data to improve the accuracy of genomic selection and management of inbreeding through genomic relationships.

  3. Genome-wide significant loci for addiction and anxiety

    Science.gov (United States)

    Hodgson, K.; Almasy, L.; Knowles, E.E.M.; Kent, J.W.; Curran, J.E.; Dyer, T.D.; Göring, H.H.H.; Olvera, R.L.; Fox, P.T.; Pearlson, G.D.; Krystal, J.H.; Duggirala, R.; Blangero, J.; Glahn, D.C.

    2017-01-01

    Background Psychiatric comorbidity is common among individuals with addictive disorders, with patients frequently suffering from anxiety disorders. While the genetic architecture of comorbid addictive and anxiety disorders remains unclear, elucidating the genes involved could provide important insights into the underlying etiology. Methods Here we examine a sample of 1284 Mexican-Americans from randomly selected extended pedigrees. Variance decomposition methods were used to examine the role of genetics in addiction phenotypes (lifetime history of alcohol dependence, drug dependence or chronic smoking) and various forms of clinically relevant anxiety. Genome-wide univariate and bivariate linkage scans were conducted to localize the chromosomal regions influencing these traits. Results Addiction phenotypes and anxiety were shown to be heritable and univariate genome-wide linkage scans revealed significant quantitative trait loci for drug dependence (14q13.2–q21.2, LOD = 3.322) and a broad anxiety phenotype (12q24.32–q24.33, LOD = 2.918). Significant positive genetic correlations were observed between anxiety and each of the addiction subtypes (ρg = 0.550–0.655) and further investigation with bivariate linkage analyses identified significant pleiotropic signals for alcohol dependence-anxiety (9q33.1–q33.2, LOD = 3.054) and drug dependence-anxiety (18p11.23–p11.22, LOD = 3.425). Conclusions This study confirms the shared genetic underpinnings of addiction and anxiety and identifies genomic loci involved in the etiology of these comorbid disorders. The linkage signal for anxiety on 12q24 spans the location of TMEM132D, an emerging gene of interest from previous GWAS of anxiety traits, whilst the bivariate linkage signal identified for anxiety-alcohol on 9q33 peak coincides with a region where rare CNVs have been associated with psychiatric disorders. Other signals identified implicate novel regions of the genome in addiction genetics. PMID:27318301

  4. A genome-wide methylation study on obesity

    Science.gov (United States)

    Xu, Xiaojing; Su, Shaoyong; Barnes, Vernon A.; De Miguel, Carmen; Pollock, Jennifer; Ownby, Dennis; Shi, Huidong; Zhu, Haidong; Snieder, Harold; Wang, Xiaoling

    2013-01-01

    Besides differential methylation, DNA methylation variation has recently been proposed and demonstrated to be a potential contributing factor to cancer risk. Here we aim to examine whether differential variability in methylation is also an important feature of obesity, a typical non-malignant common complex disease. We analyzed genome-wide methylation profiles of over 470,000 CpGs in peripheral blood samples from 48 obese and 48 lean African-American youth aged 14–20 y old. A substantial number of differentially variable CpG sites (DVCs), using statistics based on variances, as well as a substantial number of differentially methylated CpG sites (DMCs), using statistics based on means, were identified. Similar to the findings in cancers, DVCs generally exhibited an outlier structure and were more variable in cases than in controls. By randomly splitting the current sample into a discovery and validation set, we observed that both the DVCs and DMCs identified from the first set could independently predict obesity status in the second set. Furthermore, both the genes harboring DMCs and the genes harboring DVCs showed significant enrichment of genes identified by genome-wide association studies on obesity and related diseases, such as hypertension, dyslipidemia, type 2 diabetes and certain types of cancers, supporting their roles in the etiology and pathogenesis of obesity. We generalized the recent finding on methylation variability in cancer research to obesity and demonstrated that differential variability is also an important feature of obesity-related methylation changes. Future studies on the epigenetics of obesity will benefit from both statistics based on means and statistics based on variances. PMID:23644594

  5. A genome-wide association study of anorexia nervosa

    Science.gov (United States)

    Boraska, Vesna; Franklin, Christopher S; Floyd, James AB; Thornton, Laura M; Huckins, Laura M; Southam, Lorraine; Rayner, N William; Tachmazidou, Ioanna; Klump, Kelly L; Treasure, Janet; Lewis, Cathryn M; Schmidt, Ulrike; Tozzi, Federica; Kiezebrink, Kirsty; Hebebrand, Johannes; Gorwood, Philip; Adan, Roger AH; Kas, Martien JH; Favaro, Angela; Santonastaso, Paolo; Fernández-Aranda, Fernando; Gratacos, Monica; Rybakowski, Filip; Dmitrzak-Weglarz, Monika; Kaprio, Jaakko; Keski-Rahkonen, Anna; Raevuori, Anu; Van Furth, Eric F; Landt, Margarita CT Slof-Op t; Hudson, James I; Reichborn-Kjennerud, Ted; Knudsen, Gun Peggy S; Monteleone, Palmiero; Kaplan, Allan S; Karwautz, Andreas; Hakonarson, Hakon; Berrettini, Wade H; Guo, Yiran; Li, Dong; Schork, Nicholas J.; Komaki, Gen; Ando, Tetsuya; Inoko, Hidetoshi; Esko, Tõnu; Fischer, Krista; Männik, Katrin; Metspalu, Andres; Baker, Jessica H; Cone, Roger D; Dackor, Jennifer; DeSocio, Janiece E; Hilliard, Christopher E; O'Toole, Julie K; Pantel, Jacques; Szatkiewicz, Jin P; Taico, Chrysecolla; Zerwas, Stephanie; Trace, Sara E; Davis, Oliver SP; Helder, Sietske; Bühren, Katharina; Burghardt, Roland; de Zwaan, Martina; Egberts, Karin; Ehrlich, Stefan; Herpertz-Dahlmann, Beate; Herzog, Wolfgang; Imgart, Hartmut; Scherag, André; Scherag, Susann; Zipfel, Stephan; Boni, Claudette; Ramoz, Nicolas; Versini, Audrey; Brandys, Marek K; Danner, Unna N; de Kovel, Carolien; Hendriks, Judith; Koeleman, Bobby PC; Ophoff, Roel A; Strengman, Eric; van Elburg, Annemarie A; Bruson, Alice; Clementi, Maurizio; Degortes, Daniela; Forzan, Monica; Tenconi, Elena; Docampo, Elisa; Escaramís, Geòrgia; Jiménez-Murcia, Susana; Lissowska, Jolanta; Rajewski, Andrzej; Szeszenia-Dabrowska, Neonila; Slopien, Agnieszka; Hauser, Joanna; Karhunen, Leila; Meulenbelt, Ingrid; Slagboom, P Eline; Tortorella, Alfonso; Maj, Mario; Dedoussis, George; Dikeos, Dimitris; Gonidakis, Fragiskos; Tziouvas, Konstantinos; Tsitsika, Artemis; Papezova, Hana; Slachtova, Lenka; Martaskova, Debora; Kennedy, James L.; Levitan, Robert D.; Yilmaz, Zeynep; Huemer, Julia; Koubek, Doris; Merl, Elisabeth; Wagner, Gudrun; Lichtenstein, Paul; Breen, Gerome; Cohen-Woods, Sarah; Farmer, Anne; McGuffin, Peter; Cichon, Sven; Giegling, Ina; Herms, Stefan; Rujescu, Dan; Schreiber, Stefan; Wichmann, H-Erich; Dina, Christian; Sladek, Rob; Gambaro, Giovanni; Soranzo, Nicole; Julia, Antonio; Marsal, Sara; Rabionet, Raquel; Gaborieau, Valerie; Dick, Danielle M; Palotie, Aarno; Ripatti, Samuli; Widén, Elisabeth; Andreassen, Ole A; Espeseth, Thomas; Lundervold, Astri; Reinvang, Ivar; Steen, Vidar M; Le Hellard, Stephanie; Mattingsdal, Morten; Ntalla, Ioanna; Bencko, Vladimir; Foretova, Lenka; Janout, Vladimir; Navratilova, Marie; Gallinger, Steven; Pinto, Dalila; Scherer, Stephen; Aschauer, Harald; Carlberg, Laura; Schosser, Alexandra; Alfredsson, Lars; Ding, Bo; Klareskog, Lars; Padyukov, Leonid; Finan, Chris; Kalsi, Gursharan; Roberts, Marion; Logan, Darren W; Peltonen, Leena; Ritchie, Graham RS; Barrett, Jeffrey C; Estivill, Xavier; Hinney, Anke; Sullivan, Patrick F; Collier, David A; Zeggini, Eleftheria; Bulik, Cynthia M

    2015-01-01

    Anorexia nervosa (AN) is a complex and heritable eating disorder characterized by dangerously low body weight. Neither candidate gene studies nor an initial genome wide association study (GWAS) have yielded significant and replicated results. We performed a GWAS in 2,907 cases with AN from 14 countries (15 sites) and 14,860 ancestrally matched controls as part of the Genetic Consortium for AN (GCAN) and the Wellcome Trust Case Control Consortium 3 (WTCCC3). Individual association analyses were conducted in each stratum and meta-analyzed across all 15 discovery datasets. Seventy-six (72 independent) SNPs were taken forward for in silico (two datasets) or de novo (13 datasets) replication genotyping in 2,677 independent AN cases and 8,629 European ancestry controls along with 458 AN cases and 421 controls from Japan. The final global meta-analysis across discovery and replication datasets comprised 5,551 AN cases and 21,080 controls. AN subtype analyses (1,606 AN restricting; 1,445 AN binge-purge) were performed. No findings reached genome-wide significance. Two intronic variants were suggestively associated: rs9839776 (P=3.01×10-7) in SOX2OT and rs17030795 (P=5.84×10-6) in PPP3CA. Two additional signals were specific to Europeans: rs1523921 (P=5.76×10-6) between CUL3 and FAM124B and rs1886797 (P=8.05×10-6) near SPATA13. Comparing discovery to replication results, 76% of the effects were in the same direction, an observation highly unlikely to be due to chance (P=4×10-6), strongly suggesting that true findings exist but that our sample, the largest yet reported, was underpowered for their detection. The accrual of large genotyped AN case-control samples should be an immediate priority for the field. PMID:24514567

  6. A genome-wide association study of anorexia nervosa.

    Science.gov (United States)

    Boraska, V; Franklin, C S; Floyd, J A B; Thornton, L M; Huckins, L M; Southam, L; Rayner, N W; Tachmazidou, I; Klump, K L; Treasure, J; Lewis, C M; Schmidt, U; Tozzi, F; Kiezebrink, K; Hebebrand, J; Gorwood, P; Adan, R A H; Kas, M J H; Favaro, A; Santonastaso, P; Fernández-Aranda, F; Gratacos, M; Rybakowski, F; Dmitrzak-Weglarz, M; Kaprio, J; Keski-Rahkonen, A; Raevuori, A; Van Furth, E F; Slof-Op 't Landt, M C T; Hudson, J I; Reichborn-Kjennerud, T; Knudsen, G P S; Monteleone, P; Kaplan, A S; Karwautz, A; Hakonarson, H; Berrettini, W H; Guo, Y; Li, D; Schork, N J; Komaki, G; Ando, T; Inoko, H; Esko, T; Fischer, K; Männik, K; Metspalu, A; Baker, J H; Cone, R D; Dackor, J; DeSocio, J E; Hilliard, C E; O'Toole, J K; Pantel, J; Szatkiewicz, J P; Taico, C; Zerwas, S; Trace, S E; Davis, O S P; Helder, S; Bühren, K; Burghardt, R; de Zwaan, M; Egberts, K; Ehrlich, S; Herpertz-Dahlmann, B; Herzog, W; Imgart, H; Scherag, A; Scherag, S; Zipfel, S; Boni, C; Ramoz, N; Versini, A; Brandys, M K; Danner, U N; de Kovel, C; Hendriks, J; Koeleman, B P C; Ophoff, R A; Strengman, E; van Elburg, A A; Bruson, A; Clementi, M; Degortes, D; Forzan, M; Tenconi, E; Docampo, E; Escaramís, G; Jiménez-Murcia, S; Lissowska, J; Rajewski, A; Szeszenia-Dabrowska, N; Slopien, A; Hauser, J; Karhunen, L; Meulenbelt, I; Slagboom, P E; Tortorella, A; Maj, M; Dedoussis, G; Dikeos, D; Gonidakis, F; Tziouvas, K; Tsitsika, A; Papezova, H; Slachtova, L; Martaskova, D; Kennedy, J L; Levitan, R D; Yilmaz, Z; Huemer, J; Koubek, D; Merl, E; Wagner, G; Lichtenstein, P; Breen, G; Cohen-Woods, S; Farmer, A; McGuffin, P; Cichon, S; Giegling, I; Herms, S; Rujescu, D; Schreiber, S; Wichmann, H-E; Dina, C; Sladek, R; Gambaro, G; Soranzo, N; Julia, A; Marsal, S; Rabionet, R; Gaborieau, V; Dick, D M; Palotie, A; Ripatti, S; Widén, E; Andreassen, O A; Espeseth, T; Lundervold, A; Reinvang, I; Steen, V M; Le Hellard, S; Mattingsdal, M; Ntalla, I; Bencko, V; Foretova, L; Janout, V; Navratilova, M; Gallinger, S; Pinto, D; Scherer, S W; Aschauer, H; Carlberg, L; Schosser, A; Alfredsson, L; Ding, B; Klareskog, L; Padyukov, L; Courtet, P; Guillaume, S; Jaussent, I; Finan, C; Kalsi, G; Roberts, M; Logan, D W; Peltonen, L; Ritchie, G R S; Barrett, J C; Estivill, X; Hinney, A; Sullivan, P F; Collier, D A; Zeggini, E; Bulik, C M

    2014-10-01

    Anorexia nervosa (AN) is a complex and heritable eating disorder characterized by dangerously low body weight. Neither candidate gene studies nor an initial genome-wide association study (GWAS) have yielded significant and replicated results. We performed a GWAS in 2907 cases with AN from 14 countries (15 sites) and 14 860 ancestrally matched controls as part of the Genetic Consortium for AN (GCAN) and the Wellcome Trust Case Control Consortium 3 (WTCCC3). Individual association analyses were conducted in each stratum and meta-analyzed across all 15 discovery data sets. Seventy-six (72 independent) single nucleotide polymorphisms were taken forward for in silico (two data sets) or de novo (13 data sets) replication genotyping in 2677 independent AN cases and 8629 European ancestry controls along with 458 AN cases and 421 controls from Japan. The final global meta-analysis across discovery and replication data sets comprised 5551 AN cases and 21 080 controls. AN subtype analyses (1606 AN restricting; 1445 AN binge-purge) were performed. No findings reached genome-wide significance. Two intronic variants were suggestively associated: rs9839776 (P=3.01 × 10(-7)) in SOX2OT and rs17030795 (P=5.84 × 10(-6)) in PPP3CA. Two additional signals were specific to Europeans: rs1523921 (P=5.76 × 10(-)(6)) between CUL3 and FAM124B and rs1886797 (P=8.05 × 10(-)(6)) near SPATA13. Comparing discovery with replication results, 76% of the effects were in the same direction, an observation highly unlikely to be due to chance (P=4 × 10(-6)), strongly suggesting that true findings exist but our sample, the largest yet reported, was underpowered for their detection. The accrual of large genotyped AN case-control samples should be an immediate priority for the field.

  7. Genome-wide expression profiling of complex regional pain syndrome.

    Directory of Open Access Journals (Sweden)

    Eun-Heui Jin

    Full Text Available Complex regional pain syndrome (CRPS is a chronic, progressive, and devastating pain syndrome characterized by spontaneous pain, hyperalgesia, allodynia, altered skin temperature, and motor dysfunction. Although previous gene expression profiling studies have been conducted in animal pain models, there genome-wide expression profiling in the whole blood of CRPS patients has not been reported yet. Here, we successfully identified certain pain-related genes through genome-wide expression profiling in the blood from CRPS patients. We found that 80 genes were differentially expressed between 4 CRPS patients (2 CRPS I and 2 CRPS II and 5 controls (cut-off value: 1.5-fold change and p<0.05. Most of those genes were associated with signal transduction, developmental processes, cell structure and motility, and immunity and defense. The expression levels of major histocompatibility complex class I A subtype (HLA-A29.1, matrix metalloproteinase 9 (MMP9, alanine aminopeptidase N (ANPEP, l-histidine decarboxylase (HDC, granulocyte colony-stimulating factor 3 receptor (G-CSF3R, and signal transducer and activator of transcription 3 (STAT3 genes selected from the microarray were confirmed in 24 CRPS patients and 18 controls by quantitative reverse transcription-polymerase chain reaction (qRT-PCR. We focused on the MMP9 gene that, by qRT-PCR, showed a statistically significant difference in expression in CRPS patients compared to controls with the highest relative fold change (4.0±1.23 times and p = 1.4×10(-4. The up-regulation of MMP9 gene in the blood may be related to the pain progression in CRPS patients. Our findings, which offer a valuable contribution to the understanding of the differential gene expression in CRPS may help in the understanding of the pathophysiology of CRPS pain progression.

  8. Defining and improving the genome-wide specificities of CRISPR-Cas9 nucleases.

    Science.gov (United States)

    Tsai, Shengdar Q; Joung, J Keith

    2016-05-01

    CRISPR-Cas9 RNA-guided nucleases are a transformative technology for biology, genetics and medicine owing to the simplicity with which they can be programmed to cleave specific DNA target sites in living cells and organisms. However, to translate these powerful molecular tools into safe, effective clinical applications, it is of crucial importance to carefully define and improve their genome-wide specificities. Here, we outline our state-of-the-art understanding of target DNA recognition and cleavage by CRISPR-Cas9 nucleases, methods to determine and improve their specificities, and key considerations for how to evaluate and reduce off-target effects for research and therapeutic applications.

  9. Comparative analysis of genome-wide divergence, domestication footprints and genome-wide association study of root traits for Gossypium hirsutum and Gossypium barbadense

    Science.gov (United States)

    Use of 10,129 singleton SNPs of known genomic location in tetraploid cotton provided unique opportunities to characterize genome-wide diversity among 440 Gossypium hirsutum and 219 G. barbadense cultivars and landrace accessions of widespread origin. Using genome-wide distributed SNPs, we examined ...

  10. Genome-wide alterations of the DNA replication program during tumor progression

    Science.gov (United States)

    Arneodo, A.; Goldar, A.; Argoul, F.; Hyrien, O.; Audit, B.

    2016-08-01

    Oncogenic stress is a major driving force in the early stages of cancer development. Recent experimental findings reveal that, in precancerous lesions and cancers, activated oncogenes may induce stalling and dissociation of DNA replication forks resulting in DNA damage. Replication timing is emerging as an important epigenetic feature that recapitulates several genomic, epigenetic and functional specificities of even closely related cell types. There is increasing evidence that chromosome rearrangements, the hallmark of many cancer genomes, are intimately associated with the DNA replication program and that epigenetic replication timing changes often precede chromosomic rearrangements. The recent development of a novel methodology to map replication fork polarity using deep sequencing of Okazaki fragments has provided new and complementary genome-wide replication profiling data. We review the results of a wavelet-based multi-scale analysis of genomic and epigenetic data including replication profiles along human chromosomes. These results provide new insight into the spatio-temporal replication program and its dynamics during differentiation. Here our goal is to bring to cancer research, the experimental protocols and computational methodologies for replication program profiling, and also the modeling of the spatio-temporal replication program. To illustrate our purpose, we report very preliminary results obtained for the chronic myelogeneous leukemia, the archetype model of cancer. Finally, we discuss promising perspectives on using genome-wide DNA replication profiling as a novel efficient tool for cancer diagnosis, prognosis and personalized treatment.

  11. Multi-criteria decision making approaches for quality control of genome-wide association studies.

    Science.gov (United States)

    Malovini, Alberto; Rognoni, Carla; Puca, Annibale; Bellazzi, Riccardo

    2009-03-01

    Experimental errors in the genotyping phases of a Genome-Wide Association Study (GWAS) can lead to false positive findings and to spurious associations. An appropriate quality control phase could minimize the effects of this kind of errors. Several filtering criteria can be used to perform quality control. Currently, no formal methods have been proposed for taking into account at the same time these criteria and the experimenter's preferences. In this paper we propose two strategies for setting appropriate genotyping rate thresholds for GWAS quality control. These two approaches are based on the Multi-Criteria Decision Making theory. We have applied our method on a real dataset composed by 734 individuals affected by Arterial Hypertension (AH) and 486 nonagenarians without history of AH. The proposed strategies appear to deal with GWAS quality control in a sound way, as they lead to rationalize and make explicit the experimenter's choices thus providing more reproducible results.

  12. Genome-wide binding and transcriptome analysis of human farnesoid X receptor in primary human hepatocytes.

    Directory of Open Access Journals (Sweden)

    Le Zhan

    Full Text Available Farnesoid X receptor (FXR, NR1H4 is a ligand-activated transcription factor, belonging to the nuclear receptor superfamily. FXR is highly expressed in the liver and is essential in regulating bile acid homeostasis. FXR deficiency is implicated in numerous liver diseases and mice with modulation of FXR have been used as animal models to study liver physiology and pathology. We have reported genome-wide binding of FXR in mice by chromatin immunoprecipitation - deep sequencing (ChIP-seq, with results indicating that FXR may be involved in regulating diverse pathways in liver. However, limited information exists for the functions of human FXR and the suitability of using murine models to study human FXR functions.In the current study, we performed ChIP-seq in primary human hepatocytes (PHHs treated with a synthetic FXR agonist, GW4064 or DMSO control. In parallel, RNA deep sequencing (RNA-seq and RNA microarray were performed for GW4064 or control treated PHHs and wild type mouse livers, respectively.ChIP-seq showed similar profiles of genome-wide FXR binding in humans and mice in terms of motif analysis and pathway prediction. However, RNA-seq and microarray showed more different transcriptome profiles between PHHs and mouse livers upon GW4064 treatment.In summary, we have established genome-wide human FXR binding and transcriptome profiles. These results will aid in determining the human FXR functions, as well as judging to what level the mouse models could be used to study human FXR functions.

  13. Genome-wide association analysis identifies multiple loci related to resting heart rate

    Science.gov (United States)

    Eijgelsheim, Mark; Newton-Cheh, Christopher; Sotoodehnia, Nona; de Bakker, Paul I.W.; Müller, Martina; Morrison, Alanna C.; Smith, Albert V.; Isaacs, Aaron; Sanna, Serena; Dörr, Marcus; Navarro, Pau; Fuchsberger, Christian; Nolte, Ilja M.; de Geus, Eco J.C.; Estrada, Karol; Hwang, Shih-Jen; Bis, Joshua C.; Rückert, Ina-Maria; Alonso, Alvaro; Launer, Lenore J.; Hottenga, Jouke Jan; Rivadeneira, Fernando; Noseworthy, Peter A.; Rice, Kenneth M.; Perz, Siegfried; Arking, Dan E.; Spector, Tim D.; Kors, Jan A.; Aulchenko, Yurii S.; Tarasov, Kirill V.; Homuth, Georg; Wild, Sarah H.; Marroni, Fabio; Gieger, Christian; Licht, Carmilla M.; Prineas, Ronald J.; Hofman, Albert; Rotter, Jerome I.; Hicks, Andrew A.; Ernst, Florian; Najjar, Samer S.; Wright, Alan F.; Peters, Annette; Fox, Ervin R.; Oostra, Ben A.; Kroemer, Heyo K.; Couper, David; Völzke, Henry; Campbell, Harry; Meitinger, Thomas; Uda, Manuela; Witteman, Jacqueline C.M.; Psaty, Bruce M.; Wichmann, H-Erich; Harris, Tamara B.; Kääb, Stefan; Siscovick, David S.; Jamshidi, Yalda; Uitterlinden, André G.; Folsom, Aaron R.; Larson, Martin G.; Wilson, James F.; Penninx, Brenda W.; Snieder, Harold; Pramstaller, Peter P.; van Duijn, Cornelia M.; Lakatta, Edward G.; Felix, Stephan B.; Gudnason, Vilmundur; Pfeufer, Arne; Heckbert, Susan R.; Stricker, Bruno H.Ch.; Boerwinkle, Eric; O'Donnell, Christopher J.

    2010-01-01

    Higher resting heart rate is associated with increased cardiovascular disease and mortality risk. Though heritable factors play a substantial role in population variation, little is known about specific genetic determinants. This knowledge can impact clinical care by identifying novel factors that influence pathologic heart rate states, modulate heart rate through cardiac structure and function or by improving our understanding of the physiology of heart rate regulation. To identify common genetic variants associated with heart rate, we performed a meta-analysis of 15 genome-wide association studies (GWAS), including 38 991 subjects of European ancestry, estimating the association between age-, sex- and body mass-adjusted RR interval (inverse heart rate) and ∼2.5 million markers. Results with P < 5 × 10−8 were considered genome-wide significant. We constructed regression models with multiple markers to assess whether results at less stringent thresholds were likely to be truly associated with RR interval. We identified six novel associations with resting heart rate at six loci: 6q22 near GJA1; 14q12 near MYH7; 12p12 near SOX5, c12orf67, BCAT1, LRMP and CASC1; 6q22 near SLC35F1, PLN and c6orf204; 7q22 near SLC12A9 and UfSp1; and 11q12 near FADS1. Associations at 6q22 400 kb away from GJA1, at 14q12 MYH6 and at 1q32 near CD34 identified in previously published GWAS were confirmed. In aggregate, these variants explain ∼0.7% of RR interval variance. A multivariant regression model including 20 variants with P < 10−5 increased the explained variance to 1.6%, suggesting that some loci falling short of genome-wide significance are likely truly associated. Future research is warranted to elucidate underlying mechanisms that may impact clinical care. PMID:20639392

  14. Semantically enabling a genome-wide association study database

    Directory of Open Access Journals (Sweden)

    Beck Tim

    2012-12-01

    Full Text Available Abstract Background The amount of data generated from genome-wide association studies (GWAS has grown rapidly, but considerations for GWAS phenotype data reuse and interchange have not kept pace. This impacts on the work of GWAS Central – a free and open access resource for the advanced querying and comparison of summary-level genetic association data. The benefits of employing ontologies for standardising and structuring data are widely accepted. The complex spectrum of observed human phenotypes (and traits, and the requirement for cross-species phenotype comparisons, calls for reflection on the most appropriate solution for the organisation of human phenotype data. The Semantic Web provides standards for the possibility of further integration of GWAS data and the ability to contribute to the web of Linked Data. Results A pragmatic consideration when applying phenotype ontologies to GWAS data is the ability to retrieve all data, at the most granular level possible, from querying a single ontology graph. We found the Medical Subject Headings (MeSH terminology suitable for describing all traits (diseases and medical signs and symptoms at various levels of granularity and the Human Phenotype Ontology (HPO most suitable for describing phenotypic abnormalities (medical signs and symptoms at the most granular level. Diseases within MeSH are mapped to HPO to infer the phenotypic abnormalities associated with diseases. Building on the rich semantic phenotype annotation layer, we are able to make cross-species phenotype comparisons and publish a core subset of GWAS data as RDF nanopublications. Conclusions We present a methodology for applying phenotype annotations to a comprehensive genome-wide association dataset and for ensuring compatibility with the Semantic Web. The annotations are used to assist with cross-species genotype and phenotype comparisons. However, further processing and deconstructions of terms may be required to facilitate automatic

  15. Genome-wide analysis of poly(A) site selection in Schizosaccharomyces pombe

    KAUST Repository

    Schlackow, M.

    2013-10-23

    Polyadenylation of pre-mRNAs, a critical step in eukaryotic gene expression, is mediated by cis elements collectively called the polyadenylation signal. Genome-wide analysis of such polyadenylation signals was missing in fission yeast, even though it is an important model organism. We demonstrate that the canonical AATAAA motif is the most frequent and functional polyadenylation signal in Schizosaccharomyces pombe. Using analysis of RNA-Seq data sets from cells grown under various physiological conditions, we identify 3\\' UTRs for nearly 90% of the yeast genes. Heterogeneity of cleavage sites is common, as is alternative polyadenylation within and between conditions. We validated the computationally identified sequence elements likely to promote polyadenylation by functional assays, including qRT-PCR and 3\\'RACE analysis. The biological importance of the AATAAA motif is underlined by functional analysis of the genes containing it. Furthermore, it has been shown that convergent genes require trans elements, like cohesin for efficient transcription termination. Here we show that convergent genes lacking cohesin (on chromosome 2) are generally associated with longer overlapping mRNA transcripts. Our bioinformatic and experimental genome-wide results are summarized and can be accessed and customized in a user-friendly database Pomb(A).

  16. Epigenetic Variation in Monozygotic Twins: A Genome-Wide Analysis of DNA Methylation in Buccal Cells

    Directory of Open Access Journals (Sweden)

    Jenny van Dongen

    2014-05-01

    Full Text Available DNA methylation is one of the most extensively studied epigenetic marks in humans. Yet, it is largely unknown what causes variation in DNA methylation between individuals. The comparison of DNA methylation profiles of monozygotic (MZ twins offers a unique experimental design to examine the extent to which such variation is related to individual-specific environmental influences and stochastic events or to familial factors (DNA sequence and shared environment. We measured genome-wide DNA methylation in buccal samples from ten MZ pairs (age 8–19 using the Illumina 450k array and examined twin correlations for methylation level at 420,921 CpGs after QC. After selecting CpGs showing the most variation in the methylation level between subjects, the mean genome-wide correlation (rho was 0.54. The correlation was higher, on average, for CpGs within CpG islands (CGIs, compared to CGI shores, shelves and non-CGI regions, particularly at hypomethylated CpGs. This finding suggests that individual-specific environmental and stochastic influences account for more variation in DNA methylation in CpG-poor regions. Our findings also indicate that it is worthwhile to examine heritable and shared environmental influences on buccal DNA methylation in larger studies that also include dizygotic twins.

  17. Genome-wide analysis of alternative splicing during human heart development

    Science.gov (United States)

    Wang, He; Chen, Yanmei; Li, Xinzhong; Chen, Guojun; Zhong, Lintao; Chen, Gangbing; Liao, Yulin; Liao, Wangjun; Bin, Jianping

    2016-01-01

    Alternative splicing (AS) drives determinative changes during mouse heart development. Recent high-throughput technological advancements have facilitated genome-wide AS, while its analysis in human foetal heart transition to the adult stage has not been reported. Here, we present a high-resolution global analysis of AS transitions between human foetal and adult hearts. RNA-sequencing data showed extensive AS transitions occurred between human foetal and adult hearts, and AS events occurred more frequently in protein-coding genes than in long non-coding RNA (lncRNA). A significant difference of AS patterns was found between foetal and adult hearts. The predicted difference in AS events was further confirmed using quantitative reverse transcription-polymerase chain reaction analysis of human heart samples. Functional foetal-specific AS event analysis showed enrichment associated with cell proliferation-related pathways including cell cycle, whereas adult-specific AS events were associated with protein synthesis. Furthermore, 42.6% of foetal-specific AS events showed significant changes in gene expression levels between foetal and adult hearts. Genes exhibiting both foetal-specific AS and differential expression were highly enriched in cell cycle-associated functions. In conclusion, we provided a genome-wide profiling of AS transitions between foetal and adult hearts and proposed that AS transitions and deferential gene expression may play determinative roles in human heart development. PMID:27752099

  18. Genome-wide analysis of alternative splicing during human heart development

    Science.gov (United States)

    Wang, He; Chen, Yanmei; Li, Xinzhong; Chen, Guojun; Zhong, Lintao; Chen, Gangbing; Liao, Yulin; Liao, Wangjun; Bin, Jianping

    2016-10-01

    Alternative splicing (AS) drives determinative changes during mouse heart development. Recent high-throughput technological advancements have facilitated genome-wide AS, while its analysis in human foetal heart transition to the adult stage has not been reported. Here, we present a high-resolution global analysis of AS transitions between human foetal and adult hearts. RNA-sequencing data showed extensive AS transitions occurred between human foetal and adult hearts, and AS events occurred more frequently in protein-coding genes than in long non-coding RNA (lncRNA). A significant difference of AS patterns was found between foetal and adult hearts. The predicted difference in AS events was further confirmed using quantitative reverse transcription-polymerase chain reaction analysis of human heart samples. Functional foetal-specific AS event analysis showed enrichment associated with cell proliferation-related pathways including cell cycle, whereas adult-specific AS events were associated with protein synthesis. Furthermore, 42.6% of foetal-specific AS events showed significant changes in gene expression levels between foetal and adult hearts. Genes exhibiting both foetal-specific AS and differential expression were highly enriched in cell cycle-associated functions. In conclusion, we provided a genome-wide profiling of AS transitions between foetal and adult hearts and proposed that AS transitions and deferential gene expression may play determinative roles in human heart development.

  19. Genome-wide significant risk associations for mucinous ovarian carcinoma

    Science.gov (United States)

    Kelemen, Linda E.; Lawrenson, Kate; Tyrer, Jonathan; Li, Qiyuan; M. Lee, Janet; Seo, Ji-Heui; Phelan, Catherine M.; Beesley, Jonathan; Chen, Xiaoqin; Spindler, Tassja J.; Aben, Katja K.H.; Anton-Culver, Hoda; Antonenkova, Natalia; Baker, Helen; Bandera, Elisa V.; Bean, Yukie; Beckmann, Matthias W.; Bisogna, Maria; Bjorge, Line; Bogdanova, Natalia; Brinton, Louise A.; Brooks-Wilson, Angela; Bruinsma, Fiona; Butzow, Ralf; Campbell, Ian G.; Carty, Karen; Chang-Claude, Jenny; Chen, Y. Ann; Chen, Zhihua; Cook, Linda S.; Cramer, Daniel W.; Cunningham, Julie M.; Cybulski, Cezary; Dansonka-Mieszkowska, Agnieszka; Dennis, Joe; Dicks, Ed; Doherty, Jennifer A.; Dörk, Thilo; du Bois, Andreas; Dürst, Matthias; Eccles, Diana; Easton, Douglas T.; Edwards, Robert P.; Eilber, Ursula; Ekici, Arif B.; Engelholm, Svend Aage; Fasching, Peter A.; Fridley, Brooke L.; Gao, Yu-Tang; Gentry-Maharaj, Aleksandra; Giles, Graham G.; Glasspool, Rosalind; Goode, Ellen L.; Goodman, Marc T.; Grownwald, Jacek; Harrington, Patricia; Harter, Philipp; Hasmad, Hanis Nazihah; Hein, Alexander; Heitz, Florian; Hildebrandt, Michelle A.T.; Hillemanns, Peter; Hogdall, Estrid; Hogdall, Claus; Hosono, Satoyo; Iversen, Edwin S.; Jakubowska, Anna; Jensen, Allan; Ji, Bu-Tian; Karlan, Beth Y; Kellar, Melissa; Kelley, Joseph L.; Kiemeney, Lambertus A.; Krakstad, Camilla; Kjaer, Susanne K.; Kupryjanczyk, Jolanta; Lambrechts, Diether; Lambrechts, Sandrina; Le, Nhu D.; Lee, Alice W.; Lele, Shashi; Leminen, Arto; Lester, Jenny; Levine, Douglas A.; Liang, Dong; Lissowska, Jolanta; Lu, Karen; Lubinski, Jan; Lundvall, Lene; Massuger, Leon F.A.G.; Matsuo, Keitaro; McGuire, Valerie; McLaughlin, John R.; McNeish, Iain; Menon, Usha; Modugno, Francesmary; Moes-Sosnowska, Joanna; Moysich, Kirsten B.; Narod, Steven A.; Nedergaard, Lotte; Ness, Roberta B.; Nevanlinna, Heli; Azmi, Mat Adenan Noor; Odunsi, Kunle; Olson, Sara H.; Orlow, Irene; Orsulic, Sandra; Weber, Rachel Palmieri; Paul, James; Pearce, Celeste Leigh; Pejovic, Tanja; Pelttari, Liisa M.; Permuth-Wey, Jennifer; Pike, Malcolm C.; Poole, Elizabeth M.; Ramus, Susan J.; Risch, Harvey A.; Rosen, Barry; Rossing, Mary Anne; Rothstein, Joseph H.; Rudolph, Anja; Runnebaum, Ingo B.; Rzepecka, Iwona K.; Salvesen, Helga B.; Schildkraut, Joellen M.; Schwaab, Ira; Shu, Xiao-Ou; Shvetsov, Yurii B; Siddiqui, Nadeem; Sieh, Weiva; Song, Honglin; Southey, Melissa C.; Sucheston, Lara; Tangen, Ingvild L.; Teo, Soo-Hwang; Terry, Kathryn L.; Thompson, Pamela J; Tworoger, Shelley S.; van Altena, Anne M.; Van Nieuwenhuysen, Els; Vergote, Ignace; Vierkant, Robert A.; Wang-Gohrke, Shan; Walsh, Christine; Wentzensen, Nicolas; Whittemore, Alice S.; Wicklund, Kristine G.; Wilkens, Lynne R.; Wlodzimierz, Sawicki; Woo, Yin-Ling; Wu, Xifeng; Wu, Anna H.; Yang, Hannah; Zheng, Wei; Ziogas, Argyrios; Sellers, Thomas A.; Freedman, Matthew L.; Chenevix-Trench, Georgia; Pharoah, Paul D.; Gayther, Simon A.; Berchuck, Andrew

    2015-01-01

    Genome-wide association studies have identified several risk associations for ovarian carcinomas (OC) but not for mucinous ovarian carcinomas (MOC). Genotypes from OC cases and controls were imputed into the 1000 Genomes Project reference panel. Analysis of 1,644 MOC cases and 21,693 controls identified three novel risk associations: rs752590 at 2q13 (P = 3.3 × 10−8), rs711830 at 2q31.1 (P = 7.5 × 10−12) and rs688187 at 19q13.2 (P = 6.8 × 10−13). Expression Quantitative Trait Locus (eQTL) analysis in ovarian and colorectal tumors (which are histologically similar to MOC) identified significant eQTL associations for HOXD9 at 2q31.1 in ovarian (P = 4.95 × 10−4, FDR = 0.003) and colorectal (P = 0.01, FDR = 0.09) tumors, and for PAX8 at 2q13 in colorectal tumors (P = 0.03, FDR = 0.09). Chromosome conformation capture analysis identified interactions between the HOXD9 promoter and risk SNPs at 2q31.1. Overexpressing HOXD9 in MOC cells augmented the neoplastic phenotype. These findings provide the first evidence for MOC susceptibility variants and insights into the underlying biology of the disease. PMID:26075790

  20. Genome-Wide Analysis of Human MicroRNA Stability

    Directory of Open Access Journals (Sweden)

    Yang Li

    2013-01-01

    Full Text Available Increasing studies have shown that microRNA (miRNA stability plays important roles in physiology. However, the global picture of miRNA stability remains largely unknown. Here, we had analyzed genome-wide miRNA stability across 10 diverse cell types using miRNA arrays. We found that miRNA stability shows high dynamics and diversity both within individual cells and across cell types. Strikingly, we observed a negative correlation between miRNA stability and miRNA expression level, which is different from current findings on other biological molecules such as proteins and mRNAs that show positive and not negative correlations between stability and expression level. This finding indicates that miRNA has a distinct action mode, which we called “rapid production, rapid turnover; slow production, slow turnover.” This mode further suggests that high expression miRNAs normally degrade fast and may endow the cell with special properties that facilitate cellular status-transition. Moreover, we revealed that the stability of miRNAs is affected by cohorts of factors that include miRNA targets, transcription factors, nucleotide content, evolution, associated disease, and environmental factors. Together, our results provided an extensive description of the global landscape, dynamics, and distinct mode of human miRNA stability, which provide help in investigating their functions in physiology and pathophysiology.

  1. Genome-wide analyses of small noncoding RNAs in streptococci

    Directory of Open Access Journals (Sweden)

    Nadja ePatenge

    2015-05-01

    Full Text Available Streptococci represent a diverse group of Gram-positive bacteria, which colonize a wide range of hosts among animals and humans. Streptococcal species occur as commensal as well as pathogenic organisms. Many of the pathogenic species can cause severe, invasive infections in their hosts leading to a high morbidity and mortality. The consequence is a tremendous suffering on the part of men and livestock besides the significant financial burden in the agricultural and healthcare sectors. An environmentally stimulated and tightly controlled expression of virulence factor genes is of fundamental importance for streptococcal pathogenicity. Bacterial small noncoding RNAs (sRNAs modulate the expression of genes involved in stress response, sugar metabolism, surface composition, and other properties that are related to bacterial virulence. Even though the regulatory character is shared by this class of RNAs, variation on the molecular level results in a high diversity of functional mechanisms. The knowledge about the role of sRNAs in streptococci is still limited, but in recent years, genome-wide screens for sRNAs have been conducted in an increasing number of species. Bioinformatics prediction approaches have been employed as well as expression analyses by classical array techniques or next generation sequencing. This review will give an overview of whole genome screens for sRNAs in streptococci with a focus on describing the different methods and comparing their outcome considering sRNA conservation among species, functional similarities, and relevance for streptococcal infection.

  2. Genome-wide association study and premature ovarian failure.

    Science.gov (United States)

    Christin-Maitre, S; Tachdjian, G

    2010-05-01

    Premature ovarian failure (POF) is defined as an amenorrhea for more than 4months, associated with elevated gonadotropins, usually higher than 20mIU/ml, occurring in a woman before the age of 40. Some candidate genes have been identified in the past 15years, such as FOXL2, FSHR, BMP15, GDF9, Xfra premutation. However, POF etiology remains unknown in more than 90% of cases. The first strategy to identify candidate gene, apart from studying genes involved in ovarian failure in animal models, relies on the study of X chromosome deletions and X;autosome translocations in patients. The second strategy is based on linkage analysis, the third one on Comparative Genomic Hybridization (CGH) array. The latest strategy relies on Genome-Wide Association Studies (GWAS). This technique consists in screening single nucleotide polymorphisms (SNPs) in patients and controls. So far, three studies have been performed and have identified different loci potentially linked to POF, such as PTHB1 and ADAMTS19. However, replications in independent cohorts need to be performed. GWAS studies on large cohorts of women with POF should find new candidate genes in the near future.

  3. Reconstructing Roma history from genome-wide data.

    Directory of Open Access Journals (Sweden)

    Priya Moorjani

    Full Text Available The Roma people, living throughout Europe and West Asia, are a diverse population linked by the Romani language and culture. Previous linguistic and genetic studies have suggested that the Roma migrated into Europe from South Asia about 1,000-1,500 years ago. Genetic inferences about Roma history have mostly focused on the Y chromosome and mitochondrial DNA. To explore what additional information can be learned from genome-wide data, we analyzed data from six Roma groups that we genotyped at hundreds of thousands of single nucleotide polymorphisms (SNPs. We estimate that the Roma harbor about 80% West Eurasian ancestry-derived from a combination of European and South Asian sources-and that the date of admixture of South Asian and European ancestry was about 850 years before present. We provide evidence for Eastern Europe being a major source of European ancestry, and North-west India being a major source of the South Asian ancestry in the Roma. By computing allele sharing as a measure of linkage disequilibrium, we estimate that the migration of Roma out of the Indian subcontinent was accompanied by a severe founder event, which appears to have been followed by a major demographic expansion after the arrival in Europe.

  4. Genome-Wide Association Study of Serum Selenium Concentrations

    Directory of Open Access Journals (Sweden)

    Ulrike Peters

    2013-05-01

    Full Text Available Selenium is an essential trace element and circulating selenium concentrations have been associated with a wide range of diseases. Candidate gene studies suggest that circulating selenium concentrations may be impacted by genetic variation; however, no study has comprehensively investigated this hypothesis. Therefore, we conducted a two-stage genome-wide association study to identify genetic variants associated with serum selenium concentrations in 1203 European descents from two cohorts: the Prostate, Lung, Colorectal, and Ovarian (PLCO Cancer Screening and the Women’s Health Initiative (WHI. We tested association between 2,474,333 single nucleotide polymorphisms (SNPs and serum selenium concentrations using linear regression models. In the first stage (PLCO 41 SNPs clustered in 15 regions had p < 1 × 10−5. None of these 41 SNPs reached the significant threshold (p = 0.05/15 regions = 0.003 in the second stage (WHI. Three SNPs had p < 0.05 in the second stage (rs1395479 and rs1506807 in 4q34.3/AGA-NEIL3; and rs891684 in 17q24.3/SLC39A11 and had p between 2.62 × 10−7 and 4.04 × 10−7 in the combined analysis (PLCO + WHI. Additional studies are needed to replicate these findings. Identification of genetic variation that impacts selenium concentrations may contribute to a better understanding of which genes regulate circulating selenium concentrations.

  5. Genome-wide search for strabismus susceptibility loci.

    Directory of Open Access Journals (Sweden)

    Fujiwara H

    2003-06-01

    Full Text Available The purpose of this study was to search for chromosomal susceptibility loci for comitant strabismus. Genomic DNA was isolated from 10mL blood taken from each member of 30 nuclear families in which 2 or more siblings are affected by either esotropia or exotropia. A genome-wide search was performed with amplification by polymerase chain reaction of 400 markers in microsatellite regions with approximately 10 cM resolution. For each locus, non-parametric affected sib-pair analysis and non-parametric linkage analysis for multiple pedigrees (Genehunter software, http://linkage.rockefeller.edu/soft/ were used to calculate multipoint lod scores and non-parametric linkage (NPL scores, respectively. In sib-pair analysis, lod scores showed basically flat lines with several peaks of 0.25 on all chromosomes. In non-parametric linkage analysis for multiple pedigrees, NPL scores showed one peak as high as 1.34 on chromosomes 1, 2, 4, 7, 10, 15, and 16, while 2 such peaks were found on chromosomes 3, 9, 11, 12, 18, and 20. Non-parametric linkage analysis for multiple pedigrees of 30 families with comitant strabismus suggested a number of chromosomal susceptibility loci. Our ongoing study involving a larger number of families will refine the accuracy of statistical analysis to pinpoint susceptibility loci for comitant strabismus.

  6. Genome-wide identification of KANADI1 target genes.

    Directory of Open Access Journals (Sweden)

    Paz Merelo

    Full Text Available Plant organ development and polarity establishment is mediated by the action of several transcription factors. Among these, the KANADI (KAN subclade of the GARP protein family plays important roles in polarity-associated processes during embryo, shoot and root patterning. In this study, we have identified a set of potential direct target genes of KAN1 through a combination of chromatin immunoprecipitation/DNA sequencing (ChIP-Seq and genome-wide transcriptional profiling using tiling arrays. Target genes are over-represented for genes involved in the regulation of organ development as well as in the response to auxin. KAN1 affects directly the expression of several genes previously shown to be important in the establishment of polarity during lateral organ and vascular tissue development. We also show that KAN1 controls through its target genes auxin effects on organ development at different levels: transport and its regulation, and signaling. In addition, KAN1 regulates genes involved in the response to abscisic acid, jasmonic acid, brassinosteroids, ethylene, cytokinins and gibberellins. The role of KAN1 in organ polarity is antagonized by HD-ZIPIII transcription factors, including REVOLUTA (REV. A comparison of their target genes reveals that the REV/KAN1 module acts in organ patterning through opposite regulation of shared targets. Evidence of mutual repression between closely related family members is also shown.

  7. Natural selection on functional modules, a genome-wide analysis.

    Science.gov (United States)

    Serra, François; Arbiza, Leonardo; Dopazo, Joaquín; Dopazo, Hernán

    2011-03-01

    Classically, the functional consequences of natural selection over genomes have been analyzed as the compound effects of individual genes. The current paradigm for large-scale analysis of adaptation is based on the observed significant deviations of rates of individual genes from neutral evolutionary expectation. This approach, which assumed independence among genes, has not been able to identify biological functions significantly enriched in positively selected genes in individual species. Alternatively, pooling related species has enhanced the search for signatures of selection. However, grouping signatures does not allow testing for adaptive differences between species. Here we introduce the Gene-Set Selection Analysis (GSSA), a new genome-wide approach to test for evidences of natural selection on functional modules. GSSA is able to detect lineage specific evolutionary rate changes in a notable number of functional modules. For example, in nine mammal and Drosophilae genomes GSSA identifies hundreds of functional modules with significant associations to high and low rates of evolution. Many of the detected functional modules with high evolutionary rates have been previously identified as biological functions under positive selection. Notably, GSSA identifies conserved functional modules with many positively selected genes, which questions whether they are exclusively selected for fitting genomes to environmental changes. Our results agree with previous studies suggesting that adaptation requires positive selection, but not every mutation under positive selection contributes to the adaptive dynamical process of the evolution of species.

  8. Natural selection on functional modules, a genome-wide analysis.

    Directory of Open Access Journals (Sweden)

    François Serra

    2011-03-01

    Full Text Available Classically, the functional consequences of natural selection over genomes have been analyzed as the compound effects of individual genes. The current paradigm for large-scale analysis of adaptation is based on the observed significant deviations of rates of individual genes from neutral evolutionary expectation. This approach, which assumed independence among genes, has not been able to identify biological functions significantly enriched in positively selected genes in individual species. Alternatively, pooling related species has enhanced the search for signatures of selection. However, grouping signatures does not allow testing for adaptive differences between species. Here we introduce the Gene-Set Selection Analysis (GSSA, a new genome-wide approach to test for evidences of natural selection on functional modules. GSSA is able to detect lineage specific evolutionary rate changes in a notable number of functional modules. For example, in nine mammal and Drosophilae genomes GSSA identifies hundreds of functional modules with significant associations to high and low rates of evolution. Many of the detected functional modules with high evolutionary rates have been previously identified as biological functions under positive selection. Notably, GSSA identifies conserved functional modules with many positively selected genes, which questions whether they are exclusively selected for fitting genomes to environmental changes. Our results agree with previous studies suggesting that adaptation requires positive selection, but not every mutation under positive selection contributes to the adaptive dynamical process of the evolution of species.

  9. Identification of differential translation in genome wide studies.

    Science.gov (United States)

    Larsson, Ola; Sonenberg, Nahum; Nadon, Robert

    2010-12-14

    Regulation of gene expression through translational control is a fundamental mechanism implicated in many biological processes ranging from memory formation to innate immunity and whose dysregulation contributes to human diseases. Genome wide analyses of translational control strive to identify differential translation independent of cytosolic mRNA levels. For this reason, most studies measure genes' translation levels as log ratios (translation levels divided by corresponding cytosolic mRNA levels obtained in parallel). Counterintuitively, arising from a mathematical necessity, these log ratios tend to be highly correlated with the cytosolic mRNA levels. Accordingly, they do not effectively correct for cytosolic mRNA level and generate substantial numbers of biological false positives and false negatives. We show that analysis of partial variance, which produces estimates of translational activity that are independent of cytosolic mRNA levels, is a superior alternative. When combined with a variance shrinkage method for estimating error variance, analysis of partial variance has the additional benefit of having greater statistical power and identifying fewer genes as translationally regulated resulting merely from unrealistically low variance estimates rather than from large changes in translational activity. In contrast to log ratios, this formal analytical approach estimates translation effects in a statistically rigorous manner, eliminates the need for inefficient and error-prone heuristics, and produces results that agree with biological function. The method is applicable to datasets obtained from both the commonly used polysome microarray method and the sequencing-based ribosome profiling method.

  10. Genome-Wide Analysis of DNA Methylation in Human Amnion

    Directory of Open Access Journals (Sweden)

    Jinsil Kim

    2013-01-01

    Full Text Available The amnion is a specialized tissue in contact with the amniotic fluid, which is in a constantly changing state. To investigate the importance of epigenetic events in this tissue in the physiology and pathophysiology of pregnancy, we performed genome-wide DNA methylation profiling of human amnion from term (with and without labor and preterm deliveries. Using the Illumina Infinium HumanMethylation27 BeadChip, we identified genes exhibiting differential methylation associated with normal labor and preterm birth. Functional analysis of the differentially methylated genes revealed biologically relevant enriched gene sets. Bisulfite sequencing analysis of the promoter region of the oxytocin receptor (OXTR gene detected two CpG dinucleotides showing significant methylation differences among the three groups of samples. Hypermethylation of the CpG island of the solute carrier family 30 member 3 (SLC30A3 gene in preterm amnion was confirmed by methylation-specific PCR. This work provides preliminary evidence that DNA methylation changes in the amnion may be at least partially involved in the physiological process of labor and the etiology of preterm birth and suggests that DNA methylation profiles, in combination with other biological data, may provide valuable insight into the mechanisms underlying normal and pathological pregnancies.

  11. Psoriasis prediction from genome-wide SNP profiles

    Directory of Open Access Journals (Sweden)

    Fang Xiangzhong

    2011-01-01

    Full Text Available Abstract Background With the availability of large-scale genome-wide association study (GWAS data, choosing an optimal set of SNPs for disease susceptibility prediction is a challenging task. This study aimed to use single nucleotide polymorphisms (SNPs to predict psoriasis from searching GWAS data. Methods Totally we had 2,798 samples and 451,724 SNPs. Process for searching a set of SNPs to predict susceptibility for psoriasis consisted of two steps. The first one was to search top 1,000 SNPs with high accuracy for prediction of psoriasis from GWAS dataset. The second one was to search for an optimal SNP subset for predicting psoriasis. The sequential information bottleneck (sIB method was compared with classical linear discriminant analysis(LDA for classification performance. Results The best test harmonic mean of sensitivity and specificity for predicting psoriasis by sIB was 0.674(95% CI: 0.650-0.698, while only 0.520(95% CI: 0.472-0.524 was reported for predicting disease by LDA. Our results indicate that the new classifier sIB performs better than LDA in the study. Conclusions The fact that a small set of SNPs can predict disease status with average accuracy of 68% makes it possible to use SNP data for psoriasis prediction.

  12. Reducing dimensionality for prediction of genome-wide breeding values

    Directory of Open Access Journals (Sweden)

    Woolliams John A

    2009-03-01

    Full Text Available Abstract Partial least square regression (PLSR and principal component regression (PCR are methods designed for situations where the number of predictors is larger than the number of records. The aim was to compare the accuracy of genome-wide breeding values (EBV produced using PLSR and PCR with a Bayesian method, 'BayesB'. Marker densities of 1, 2, 4 and 8 Ne markers/Morgan were evaluated when the effective population size (Ne was 100. The correlation between true breeding value and estimated breeding value increased with density from 0.611 to 0.681 and 0.604 to 0.658 using PLSR and PCR respectively, with an overall advantage to PLSR of 0.016 (s.e = 0.008. Both methods gave a lower accuracy compared to the 'BayesB', for which accuracy increased from 0.690 to 0.860. PLSR and PCR appeared less responsive to increased marker density with the advantage of 'BayesB' increasing by 17% from a marker density of 1 to 8Ne/M. PCR and PLSR showed greater bias than 'BayesB' in predicting breeding values at all densities. Although, the PLSR and PCR were computationally faster and simpler, these advantages do not outweigh the reduction in accuracy, and there is a benefit in obtaining relevant prior information from the distribution of gene effects.

  13. A genome wide dosage suppressor network reveals genomic robustness

    Science.gov (United States)

    Patra, Biranchi; Kon, Yoshiko; Yadav, Gitanjali; Sevold, Anthony W.; Frumkin, Jesse P.; Vallabhajosyula, Ravishankar R.; Hintze, Arend; Østman, Bjørn; Schossau, Jory; Bhan, Ashish; Marzolf, Bruz; Tamashiro, Jenna K.; Kaur, Amardeep; Baliga, Nitin S.; Grayhack, Elizabeth J.; Adami, Christoph; Galas, David J.; Raval, Alpan; Phizicky, Eric M.; Ray, Animesh

    2017-01-01

    Genomic robustness is the extent to which an organism has evolved to withstand the effects of deleterious mutations. We explored the extent of genomic robustness in budding yeast by genome wide dosage suppressor analysis of 53 conditional lethal mutations in cell division cycle and RNA synthesis related genes, revealing 660 suppressor interactions of which 642 are novel. This collection has several distinctive features, including high co-occurrence of mutant-suppressor pairs within protein modules, highly correlated functions between the pairs and higher diversity of functions among the co-suppressors than previously observed. Dosage suppression of essential genes encoding RNA polymerase subunits and chromosome cohesion complex suggests a surprising degree of functional plasticity of macromolecular complexes, and the existence of numerous degenerate pathways for circumventing the effects of potentially lethal mutations. These results imply that organisms and cancer are likely able to exploit the genomic robustness properties, due the persistence of cryptic gene and pathway functions, to generate variation and adapt to selective pressures. PMID:27899637

  14. Genome-wide transcriptome analysis of 150 cell samples†

    Science.gov (United States)

    Russom, Aman; Xiao, Wenzhong; Wilhelmy, Julie; Wang, Shenglong; Heath, Joe Don; Kurn, Nurith; Tompkins, Ronald G.; Davis, Ronald W.; Toner, Mehmet

    2013-01-01

    A major challenge in molecular biology is interrogating the human transcriptome on a genome wide scale when only a limited amount of biological sample is available for analysis. Current methodologies using microarray technologies for simultaneously monitoring mRNA transcription levels require nanogram amounts of total RNA. To overcome the sample size limitation of current technologies, we have developed a method to probe the global gene expression in biological samples as small as 150 cells, or the equivalent of approximately 300 pg total RNA. The new method employs microfluidic devices for the purification of total RNA from mammalian cells and ultra-sensitive whole transcriptome amplification techniques. We verified that the RNA integrity is preserved through the isolation process, accomplished highly reproducible whole transcriptome analysis, and established high correlation between repeated isolations of 150 cells and the same cell culture sample. We validated the technology by demonstrating that the combined microfluidic and amplification protocol is capable of identifying biological pathways perturbed by stimulation, which are consistent with the information recognized in bulk-isolated samples. PMID:20023796

  15. Genome-wide transcriptome analysis of 150 cell samples.

    Science.gov (United States)

    Irimia, Daniel; Mindrinos, Michael; Russom, Aman; Xiao, Wenzhong; Wilhelmy, Julie; Wang, Shenglong; Heath, Joe Don; Kurn, Nurith; Tompkins, Ronald G; Davis, Ronald W; Toner, Mehmet

    2009-01-01

    A major challenge in molecular biology is interrogating the human transcriptome on a genome wide scale when only a limited amount of biological sample is available for analysis. Current methodologies using microarray technologies for simultaneously monitoring mRNA transcription levels require nanogram amounts of total RNA. To overcome the sample size limitation of current technologies, we have developed a method to probe the global gene expression in biological samples as small as 150 cells, or the equivalent of approximately 300 pg total RNA. The new method employs microfluidic devices for the purification of total RNA from mammalian cells and ultra-sensitive whole transcriptome amplification techniques. We verified that the RNA integrity is preserved through the isolation process, accomplished highly reproducible whole transcriptome analysis, and established high correlation between repeated isolations of 150 cells and the same cell culture sample. We validated the technology by demonstrating that the combined microfluidic and amplification protocol is capable of identifying biological pathways perturbed by stimulation, which are consistent with the information recognized in bulk-isolated samples.

  16. Genome-Wide Association Studies of the Human Gut Microbiota.

    Directory of Open Access Journals (Sweden)

    Emily R Davenport

    Full Text Available The bacterial composition of the human fecal microbiome is influenced by many lifestyle factors, notably diet. It is less clear, however, what role host genetics plays in dictating the composition of bacteria living in the gut. In this study, we examined the association of ~200K host genotypes with the relative abundance of fecal bacterial taxa in a founder population, the Hutterites, during two seasons (n = 91 summer, n = 93 winter, n = 57 individuals collected in both. These individuals live and eat communally, minimizing variation due to environmental exposures, including diet, which could potentially mask small genetic effects. Using a GWAS approach that takes into account the relatedness between subjects, we identified at least 8 bacterial taxa whose abundances were associated with single nucleotide polymorphisms in the host genome in each season (at genome-wide FDR of 20%. For example, we identified an association between a taxon known to affect obesity (genus Akkermansia and a variant near PLD1, a gene previously associated with body mass index. Moreover, we replicate a previously reported association from a quantitative trait locus (QTL mapping study of fecal microbiome abundance in mice (genus Lactococcus, rs3747113, P = 3.13 x 10-7. Finally, based on the significance distribution of the associated microbiome QTLs in our study with respect to chromatin accessibility profiles, we identified tissues in which host genetic variation may be acting to influence bacterial abundance in the gut.

  17. Reconstructing Roma History from Genome-Wide Data

    Science.gov (United States)

    Moorjani, Priya; Patterson, Nick; Loh, Po-Ru; Lipson, Mark; Kisfali, Péter; Melegh, Bela I.; Bonin, Michael; Kádaši, Ľudevít; Rieß, Olaf; Berger, Bonnie; Reich, David; Melegh, Béla

    2013-01-01

    The Roma people, living throughout Europe and West Asia, are a diverse population linked by the Romani language and culture. Previous linguistic and genetic studies have suggested that the Roma migrated into Europe from South Asia about 1,000–1,500 years ago. Genetic inferences about Roma history have mostly focused on the Y chromosome and mitochondrial DNA. To explore what additional information can be learned from genome-wide data, we analyzed data from six Roma groups that we genotyped at hundreds of thousands of single nucleotide polymorphisms (SNPs). We estimate that the Roma harbor about 80% West Eurasian ancestry–derived from a combination of European and South Asian sources–and that the date of admixture of South Asian and European ancestry was about 850 years before present. We provide evidence for Eastern Europe being a major source of European ancestry, and North-west India being a major source of the South Asian ancestry in the Roma. By computing allele sharing as a measure of linkage disequilibrium, we estimate that the migration of Roma out of the Indian subcontinent was accompanied by a severe founder event, which appears to have been followed by a major demographic expansion after the arrival in Europe. PMID:23516520

  18. Genome-wide association study of circulating retinol levels.

    Science.gov (United States)

    Mondul, Alison M; Yu, Kai; Wheeler, William; Zhang, Hong; Weinstein, Stephanie J; Major, Jacqueline M; Cornelis, Marilyn C; Männistö, Satu; Hazra, Aditi; Hsing, Ann W; Jacobs, Kevin B; Eliassen, Heather; Tanaka, Toshiko; Reding, Douglas J; Hendrickson, Sara; Ferrucci, Luigi; Virtamo, Jarmo; Hunter, David J; Chanock, Stephen J; Kraft, Peter; Albanes, Demetrius

    2011-12-01

    Retinol is one of the most biologically active forms of vitamin A and is hypothesized to influence a wide range of human diseases including asthma, cardiovascular disease, infectious diseases and cancer. We conducted a genome-wide association study of 5006 Caucasian individuals drawn from two cohorts of men: the Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) Study and the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. We identified two independent single-nucleotide polymorphisms associated with circulating retinol levels, which are located near the transthyretin (TTR) and retinol binding protein 4 (RBP4) genes which encode major carrier proteins of retinol: rs1667255 (P =2.30× 10(-17)) and rs10882272 (P =6.04× 10(-12)). We replicated the association with rs10882272 in RBP4 in independent samples from the Nurses' Health Study and the Invecchiare in Chianti Study (InCHIANTI) that included 3792 women and 504 men (P =9.49× 10(-5)), but found no association for retinol with rs1667255 in TTR among women, thus suggesting evidence for gender dimorphism (P-interaction=1.31× 10(-5)). Discovery of common genetic variants associated with serum retinol levels may provide further insight into the contribution of retinol and other vitamin A compounds to the development of cancer and other complex diseases.

  19. Genome-wide association study of proneness to anger.

    Directory of Open Access Journals (Sweden)

    Eric Mick

    Full Text Available BACKGROUND: Community samples suggest that approximately 1 in 20 children and adults exhibit clinically significant anger, hostility, and aggression. Individuals with dysregulated emotional control have a greater lifetime burden of psychiatric morbidity, severe impairment in role functioning, and premature mortality due to cardiovascular disease. METHODS: With publically available data secured from dbGaP, we conducted a genome-wide association study of proneness to anger using the Spielberger State-Trait Anger Scale in the Atherosclerosis Risk in Communities (ARIC study (n = 8,747. RESULTS: Subjects were, on average, 54 (range 45-64 years old at baseline enrollment, 47% (n = 4,117 were male, and all were of European descent by self-report. The mean Angry Temperament and Angry Reaction scores were 5.8 ± 1.8 and 7.6 ± 2.2. We observed a nominally significant finding (p = 2.9E-08, λ = 1.027 - corrected pgc = 2.2E-07, λ = 1.0015 on chromosome 6q21 in the gene coding for the non-receptor protein-tyrosine kinase, Fyn. CONCLUSIONS: Fyn interacts with NDMA receptors and inositol-1,4,5-trisphosphate (IP3-gated channels to regulate calcium influx and intracellular release in the post-synaptic density. These results suggest that signaling pathways regulating intracellular calcium homeostasis, which are relevant to memory, learning, and neuronal survival, may in part underlie the expression of Angry Temperament.

  20. A genome-wide association study in multiple system atrophy

    Science.gov (United States)

    Sailer, Anna; Nalls, Michael A.; Schulte, Claudia; Federoff, Monica; Price, T. Ryan; Lees, Andrew; Ross, Owen A.; Dickson, Dennis W.; Mok, Kin; Mencacci, Niccolo E.; Schottlaender, Lucia; Chelban, Viorica; Ling, Helen; O'Sullivan, Sean S.; Wood, Nicholas W.; Traynor, Bryan J.; Ferrucci, Luigi; Federoff, Howard J.; Mhyre, Timothy R.; Morris, Huw R.; Deuschl, Günther; Quinn, Niall; Widner, Hakan; Albanese, Alberto; Infante, Jon; Bhatia, Kailash P.; Poewe, Werner; Oertel, Wolfgang; Höglinger, Günter U.; Wüllner, Ullrich; Goldwurm, Stefano; Pellecchia, Maria Teresa; Ferreira, Joaquim; Tolosa, Eduardo; Bloem, Bastiaan R.; Rascol, Olivier; Meissner, Wassilios G.; Hardy, John A.; Revesz, Tamas; Holton, Janice L.; Gasser, Thomas; Wenning, Gregor K.; Singleton, Andrew B.

    2016-01-01

    Objective: To identify genetic variants that play a role in the pathogenesis of multiple system atrophy (MSA), we undertook a genome-wide association study (GWAS). Methods: We performed a GWAS with >5 million genotyped and imputed single nucleotide polymorphisms (SNPs) in 918 patients with MSA of European ancestry and 3,864 controls. MSA cases were collected from North American and European centers, one third of which were neuropathologically confirmed. Results: We found no significant loci after stringent multiple testing correction. A number of regions emerged as potentially interesting for follow-up at p < 1 × 10−6, including SNPs in the genes FBXO47, ELOVL7, EDN1, and MAPT. Contrary to previous reports, we found no association of the genes SNCA and COQ2 with MSA. Conclusions: We present a GWAS in MSA. We have identified several potentially interesting gene loci, including the MAPT locus, whose significance will have to be evaluated in a larger sample set. Common genetic variation in SNCA and COQ2 does not seem to be associated with MSA. In the future, additional samples of well-characterized patients with MSA will need to be collected to perform a larger MSA GWAS, but this initial study forms the basis for these next steps. PMID:27629089

  1. Genome-wide studies of telomere biology in budding yeast

    Directory of Open Access Journals (Sweden)

    Yaniv Harari

    2014-03-01

    Full Text Available Telomeres are specialized DNA-protein structures at the ends of eukaryotic chromosomes. Telomeres are essential for chromosomal stability and integrity, as they prevent chromosome ends from being recognized as double strand breaks. In rapidly proliferating cells, telomeric DNA is synthesized by the enzyme telomerase, which copies a short template sequence within its own RNA moiety, thus helping to solve the “end-replication problem”, in which information is lost at the ends of chromosomes with each DNA replication cycle. The basic mechanisms of telomere length, structure and function maintenance are conserved among eukaryotes. Studies in the yeast Saccharomyces cerevisiae have been instrumental in deciphering the basic aspects of telomere biology. In the last decade, technical advances, such as the availability of mutant collections, have allowed carrying out systematic genome-wide screens for mutants affecting various aspects of telomere biology. In this review we summarize these efforts, and the insights that this Systems Biology approach has produced so far.

  2. Genome-Wide Analysis of DNA Methylation in Human Amnion

    Science.gov (United States)

    Kim, Jinsil; Pitlick, Mitchell M.; Christine, Paul J.; Schaefer, Amanda R.; Saleme, Cesar; Comas, Belén; Cosentino, Viviana; Gadow, Enrique; Murray, Jeffrey C.

    2013-01-01

    The amnion is a specialized tissue in contact with the amniotic fluid, which is in a constantly changing state. To investigate the importance of epigenetic events in this tissue in the physiology and pathophysiology of pregnancy, we performed genome-wide DNA methylation profiling of human amnion from term (with and without labor) and preterm deliveries. Using the Illumina Infinium HumanMethylation27 BeadChip, we identified genes exhibiting differential methylation associated with normal labor and preterm birth. Functional analysis of the differentially methylated genes revealed biologically relevant enriched gene sets. Bisulfite sequencing analysis of the promoter region of the oxytocin receptor (OXTR) gene detected two CpG dinucleotides showing significant methylation differences among the three groups of samples. Hypermethylation of the CpG island of the solute carrier family 30 member 3 (SLC30A3) gene in preterm amnion was confirmed by methylation-specific PCR. This work provides preliminary evidence that DNA methylation changes in the amnion may be at least partially involved in the physiological process of labor and the etiology of preterm birth and suggests that DNA methylation profiles, in combination with other biological data, may provide valuable insight into the mechanisms underlying normal and pathological pregnancies. PMID:23533356

  3. Genome-wide microsatellite characterization and marker development in the sequenced Brassica crop species.

    Science.gov (United States)

    Shi, Jiaqin; Huang, Shunmou; Zhan, Jiepeng; Yu, Jingyin; Wang, Xinfa; Hua, Wei; Liu, Shengyi; Liu, Guihua; Wang, Hanzhong

    2014-02-01

    Although much research has been conducted, the pattern of microsatellite distribution has remained ambiguous, and the development/utilization of microsatellite markers has still been limited/inefficient in Brassica, due to the lack of genome sequences. In view of this, we conducted genome-wide microsatellite characterization and marker development in three recently sequenced Brassica crops: Brassica rapa, Brassica oleracea and Brassica napus. The analysed microsatellite characteristics of these Brassica species were highly similar or almost identical, which suggests that the pattern of microsatellite distribution is likely conservative in Brassica. The genomic distribution of microsatellites was highly non-uniform and positively or negatively correlated with genes or transposable elements, respectively. Of the total of 115 869, 185 662 and 356 522 simple sequence repeat (SSR) markers developed with high frequencies (408.2, 343.8 and 356.2 per Mb or one every 2.45, 2.91 and 2.81 kb, respectively), most represented new SSR markers, the majority had determined physical positions, and a large number were genic or putative single-locus SSR markers. We also constructed a comprehensive database for the newly developed SSR markers, which was integrated with public Brassica SSR markers and annotated genome components. The genome-wide SSR markers developed in this study provide a useful tool to extend the annotated genome resources of sequenced Brassica species to genetic study/breeding in different Brassica species.

  4. CONAN: copy number variation analysis software for genome-wide association studies

    Directory of Open Access Journals (Sweden)

    Wichmann Heinz-Erich

    2010-06-01

    Full Text Available Abstract Background Genome-wide association studies (GWAS based on single nucleotide polymorphisms (SNPs revolutionized our perception of the genetic regulation of complex traits and diseases. Copy number variations (CNVs promise to shed additional light on the genetic basis of monogenic as well as complex diseases and phenotypes. Indeed, the number of detected associations between CNVs and certain phenotypes are constantly increasing. However, while several software packages support the determination of CNVs from SNP chip data, the downstream statistical inference of CNV-phenotype associations is still subject to complicated and inefficient in-house solutions, thus strongly limiting the performance of GWAS based on CNVs. Results CONAN is a freely available client-server software solution which provides an intuitive graphical user interface for categorizing, analyzing and associating CNVs with phenotypes. Moreover, CONAN assists the evaluation process by visualizing detected associations via Manhattan plots in order to enable a rapid identification of genome-wide significant CNV regions. Various file formats including the information on CNVs in population samples are supported as input data. Conclusions CONAN facilitates the performance of GWAS based on CNVs and the visual analysis of calculated results. CONAN provides a rapid, valid and straightforward software solution to identify genetic variation underlying the 'missing' heritability for complex traits that remains unexplained by recent GWAS. The freely available software can be downloaded at http://genepi-conan.i-med.ac.at.

  5. Genome-wide identification of expression quantitative trait loci (eQTLs in human heart.

    Directory of Open Access Journals (Sweden)

    Tamara T Koopmann

    Full Text Available In recent years genome-wide association studies (GWAS have uncovered numerous chromosomal loci associated with various electrocardiographic traits and cardiac arrhythmia predisposition. A considerable fraction of these loci lie within inter-genic regions. The underlying trait-associated variants likely reside in regulatory regions and exert their effect by modulating gene expression. Hence, the key to unraveling the molecular mechanisms underlying these cardiac traits is to interrogate variants for association with differential transcript abundance by expression quantitative trait locus (eQTL analysis. In this study we conducted an eQTL analysis of human heart. For a total of 129 left ventricular samples that were collected from non-diseased human donor hearts, genome-wide transcript abundance and genotyping was determined using microarrays. Each of the 18,402 transcripts and 897,683 SNP genotypes that remained after pre-processing and stringent quality control were tested for eQTL effects. We identified 771 eQTLs, regulating 429 unique transcripts. Overlaying these eQTLs with cardiac GWAS loci identified novel candidates for studies aimed at elucidating the functional and transcriptional impact of these loci. Thus, this work provides for the first time a comprehensive eQTL map of human heart: a powerful and unique resource that enables systems genetics approaches for the study of cardiac traits.

  6. A genome-wide SNP panel for mapping and association studies in the rat

    Directory of Open Access Journals (Sweden)

    Guryev Victor

    2008-02-01

    Full Text Available Abstract Background The laboratory rat (Rattus norvegicus is an important model for human disease, and is extensively used for studying complex traits for example in the physiological and pharmacological fields. To facilitate genetic studies like QTL mapping, genetic makers that can be easily typed, like SNPs, are essential. Results A genome-wide set of 820 SNP assays was designed for the KASPar genotyping platform, which uses a technique based on allele specific oligo extension and energy transfer-based detection. SNPs were chosen to be equally spread along all chromosomes except Y and to be polymorphic between Brown Norway and SS or Wistar rat strains based on data from the rat HapMap EU project. This panel was tested on 38 rats of 34 different strains and 3 wild rats to determine the level of polymorphism and to generate a phylogenetic network to show their genetic relationships. As a proof of principle we used this panel to map an obesity trait in Zucker rats and confirmed significant linkage (LOD 122 to chromosome 5: 119–129 Mb, where the leptin receptor gene (Lepr is located (chr5: 122 Mb. Conclusion We provide a fast and cost-effective platform for genome-wide SNP typing, which can be used for first-pass genetic mapping and association studies in a wide variety of rat strains.

  7. Genome-wide association study identifies 74 loci associated with educational attainment

    Science.gov (United States)

    Okbay, Aysu; Beauchamp, Jonathan P.; Fontana, Mark A.; Lee, James J.; Pers, Tune H.; Rietveld, Cornelius A.; Turley, Patrick; Chen, Guo-Bo; Emilsson, Valur; Meddens, S. Fleur W.; Oskarsson, Sven; Pickrell, Joseph K.; Thom, Kevin; Timshel, Pascal; de Vlaming, Ronald; Abdellaoui, Abdel; Ahluwalia, Tarunveer S.; Bacelis, Jonas; Baumbach, Clemens; Bjornsdottir, Gyda; Brandsma, Johannes H.; Concas, Maria Pina; Derringer, Jaime; Furlotte, Nicholas A.; Galesloot, Tessel E.; Girotto, Giorgia; Gupta, Richa; Hall, Leanne M.; Harris, Sarah E.; Hofer, Edith; Horikoshi, Momoko; Huffman, Jennifer E.; Kaasik, Kadri; Kalafati, Ioanna P.; Karlsson, Robert; Kong, Augustine; Lahti, Jari; van der Lee, Sven J.; de Leeuw, Christiaan; Lind, Penelope A.; Lindgren, Karl-Oskar; Liu, Tian; Mangino, Massimo; Marten, Jonathan; Mihailov, Evelin; Miller, Michael B.; van der Most, Peter J.; Oldmeadow, Christopher; Payton, Antony; Pervjakova, Natalia; Peyrot, Wouter J.; Qian, Yong; Raitakari, Olli; Rueedi, Rico; Salvi, Erika; Schmidt, Börge; Schraut, Katharina E.; Shi, Jianxin; Smith, Albert V.; Poot, Raymond A.; Pourcain, Beate; Teumer, Alexander; Thorleifsson, Gudmar; Verweij, Niek; Vuckovic, Dragana; Wellmann, Juergen; Westra, Harm-Jan; Yang, Jingyun; Zhao, Wei; Zhu, Zhihong; Alizadeh, Behrooz Z.; Amin, Najaf; Bakshi, Andrew; Baumeister, Sebastian E.; Biino, Ginevra; Bønnelykke, Klaus; Boyle, Patricia A.; Campbell, Harry; Cappuccio, Francesco P.; Davies, Gail; De Neve, Jan-Emmanuel; Deloukas, Panos; Demuth, Ilja; Ding, Jun; Eibich, Peter; Eisele, Lewin; Eklund, Niina; Evans68, David M.; Faul, Jessica D.; Feitosa, Mary F.; Forstner, Andreas J.; Gandin, Ilaria; Gunnarsson, Bjarni; Halldórsson, Bjarni V.; Harris, Tamara B.; Heath, Andrew C.; Hocking, Lynne J.; Holliday, Elizabeth G.; Homuth, Georg; Horan, Michael A.; Hottenga, Jouke-Jan; de Jager, Philip L.; Joshi, Peter K.; Jugessur, Astanand; Kaakinen, Marika A.; Kähönen, Mika; Kanoni, Stavroula; Keltigangas-Järvinen, Liisa; Kiemeney, Lambertus A.L.M.; Kolcic, Ivana; Koskinen, Seppo; Kraja, Aldi T.; Kroh, Martin; Kutalik, Zoltan; Latvala, Antti; Launer, Lenore J.; Lebreton, Maël P.; Levinson, Douglas F.; Lichtenstein, Paul; Lichtner, Peter; Liewald, David C.M.; Loukola, Anu; Madden, Pamela A.; Mägi, Reedik; Mäki-Opas, Tomi; Marioni, Riccardo E.; Marques-Vidal, Pedro; Meddens, Gerardus A.; McMahon, George; Meisinger, Christa; Meitinger, Thomas; Milaneschi, Yusplitri; Milani, Lili; Montgomery, Grant W.; Myhre, Ronny; Nelson, Christopher P.; Nyholt, Dale R.; Ollier, William E.R.; Palotie, Aarno; Paternoster, Lavinia; Pedersen, Nancy L.; Petrovic, Katja E.; Porteous, David J.; Räikkönen, Katri; Ring, Susan M.; Robino, Antonietta; Rostapshova, Olga; Rudan, Igor; Rustichini, Aldo; Salomaa, Veikko; Sanders, Alan R.; Sarin, Antti-Pekka; Schmidt, Helena; Scott, Rodney J.; Smith, Blair H.; Smith, Jennifer A.; Staessen, Jan A.; Steinhagen-Thiessen, Elisabeth; Strauch, Konstantin; Terracciano, Antonio; Tobin, Martin D.; Ulivi, Sheila; Vaccargiu, Simona; Quaye, Lydia; van Rooij, Frank J.A.; Venturini, Cristina; Vinkhuyzen, Anna A.E.; Völker, Uwe; Völzke, Henry; Vonk, Judith M.; Vozzi, Diego; Waage, Johannes; Ware, Erin B.; Willemsen, Gonneke; Attia, John R.; Bennett, David A.; Berger, Klaus; Bertram, Lars; Bisgaard, Hans; Boomsma, Dorret I.; Borecki, Ingrid B.; Bultmann, Ute; Chabris, Christopher F.; Cucca, Francesco; Cusi, Daniele; Deary, Ian J.; Dedoussis, George V.; van Duijn, Cornelia M.; Eriksson, Johan G.; Franke, Barbara; Franke, Lude; Gasparini, Paolo; Gejman, Pablo V.; Gieger, Christian; Grabe, Hans-Jörgen; Gratten, Jacob; Groenen, Patrick J.F.; Gudnason, Vilmundur; van der Harst, Pim; Hayward, Caroline; Hinds, David A.; Hoffmann, Wolfgang; Hyppönen, Elina; Iacono, William G.; Jacobsson, Bo; Järvelin, Marjo-Riitta; Jöckel, Karl-Heinz; Kaprio, Jaakko; Kardia, Sharon L.R.; Lehtimäki, Terho; Lehrer, Steven F.; Magnusson, Patrik K.E.; Martin, Nicholas G.; McGue, Matt; Metspalu, Andres; Pendleton, Neil; Penninx, Brenda W.J.H.; Perola, Markus; Pirastu, Nicola; Pirastu, Mario; Polasek, Ozren; Posthuma, Danielle; Power, Christine; Province, Michael A.; Samani, Nilesh J.; Schlessinger, David; Schmidt, Reinhold; Sørensen, Thorkild I.A.; Spector, Tim D.; Stefansson, Kari; Thorsteinsdottir, Unnur; Thurik, A. Roy; Timpson, Nicholas J.; Tiemeier, Henning; Tung, Joyce Y.; Uitterlinden, André G.; Vitart, Veronique; Vollenweider, Peter; Weir, David R.; Wilson, James F.; Wright, Alan F.; Conley, Dalton C.; Krueger, Robert F.; Smith, George Davey; Hofman, Albert; Laibson, David I.; Medland, Sarah E.; Meyer, Michelle N.; Yang, Jian; Johannesson, Magnus; Visscher, Peter M.; Esko, Tõnu; Koellinger, Philipp D.; Cesarini, David; Benjamin, Daniel J.

    2016-01-01

    Summary Educational attainment (EA) is strongly influenced by social and other environmental factors, but genetic factors are also estimated to account for at least 20% of the variation across individuals1. We report the results of a genome-wide association study (GWAS) for EA that extends our earlier discovery sample1,2 of 101,069 individuals to 293,723 individuals, and a replication in an independent sample of 111,349 individuals from the UK Biobank. We now identify 74 genome-wide significant loci associated with number of years of schooling completed. Single-nucleotide polymorphisms (SNPs) associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioral phenotype that is mostly environmentally determined, a well-powered GWAS identifies replicable associated genetic variants that suggest biologically relevant pathways. Because EA is measured in large numbers of individuals, it will continue to be useful as a proxy phenotype in efforts to characterize the genetic influences of related phenotypes, including cognition and neuropsychiatric disease. PMID:27225129

  8. HITS-CLIP yields genome-wide insights into brain alternative RNA processing

    Science.gov (United States)

    Licatalosi, Donny D.; Mele, Aldo; Fak, John J.; Ule, Jernej; Kayikci, Melis; Chi, Sung Wook; Clark, Tyson A.; Schweitzer, Anthony C.; Blume, John E.; Wang, Xuning; Darnell, Jennifer C.; Darnell, Robert B.

    2008-11-01

    Protein-RNA interactions have critical roles in all aspects of gene expression. However, applying biochemical methods to understand such interactions in living tissues has been challenging. Here we develop a genome-wide means of mapping protein-RNA binding sites in vivo, by high-throughput sequencing of RNA isolated by crosslinking immunoprecipitation (HITS-CLIP). HITS-CLIP analysis of the neuron-specific splicing factor Nova revealed extremely reproducible RNA-binding maps in multiple mouse brains. These maps provide genome-wide in vivo biochemical footprints confirming the previous prediction that the position of Nova binding determines the outcome of alternative splicing; moreover, they are sufficiently powerful to predict Nova action de novo. HITS-CLIP revealed a large number of Nova-RNA interactions in 3' untranslated regions, leading to the discovery that Nova regulates alternative polyadenylation in the brain. HITS-CLIP, therefore, provides a robust, unbiased means to identify functional protein-RNA interactions in vivo.

  9. Mosaic paternal genome-wide uniparental isodisomy with down syndrome.

    Science.gov (United States)

    Darcy, Diana; Atwal, Paldeep Singh; Angell, Cathy; Gadi, Inder; Wallerstein, Robert

    2015-10-01

    We report on a 6-month-old girl with two apparent cell lines; one with trisomy 21, and the other with paternal genome-wide uniparental isodisomy (GWUPiD), identified using single nucleotide polymorphism (SNP) based microarray and microsatellite analysis of polymorphic loci. The patient has Beckwith-Wiedemann syndrome (BWS) due to paternal uniparental disomy (UPD) at chromosome location 11p15 (UPD 11p15), which was confirmed through methylation analysis. Hyperinsulinemic hypoglycemia is present, which is associated with paternal UPD 11p15.5; and she likely has medullary nephrocalcinosis, which is associated with paternal UPD 20, although this was not biochemically confirmed. Angelman syndrome (AS) analysis was negative but this testing is not completely informative; she has no specific features of AS. Clinical features of this patient include: dysmorphic features consistent with trisomy 21, tetralogy of Fallot, hemihypertrophy, swirled skin hyperpigmentation, hepatoblastoma, and Wilms tumor. Her karyotype is 47,XX,+21[19]/46,XX[4], and microarray results suggest that the cell line with trisomy 21 is biparentally inherited and represents 40-50% of the genomic material in the tested specimen. The difference in the level of cytogenetically detected mosaicism versus the level of mosaicism observed via microarray analysis is likely caused by differences in the test methodologies. While a handful of cases of mosaic paternal GWUPiD have been reported, this patient is the only reported case that also involves trisomy 21. Other GWUPiD patients have presented with features associated with multiple imprinted regions, as does our patient. © 2015 Wiley Periodicals, Inc.

  10. Genome-Wide Architecture of Disease Resistance Genes in Lettuce.

    Science.gov (United States)

    Christopoulou, Marilena; Wo, Sebastian Reyes-Chin; Kozik, Alex; McHale, Leah K; Truco, Maria-Jose; Wroblewski, Tadeusz; Michelmore, Richard W

    2015-10-08

    Genome-wide motif searches identified 1134 genes in the lettuce reference genome of cv. Salinas that are potentially involved in pathogen recognition, of which 385 were predicted to encode nucleotide binding-leucine rich repeat receptor (NLR) proteins. Using a maximum-likelihood approach, we grouped the NLRs into 25 multigene families and 17 singletons. Forty-one percent of these NLR-encoding genes belong to three families, the largest being RGC16 with 62 genes in cv. Salinas. The majority of NLR-encoding genes are located in five major resistance clusters (MRCs) on chromosomes 1, 2, 3, 4, and 8 and cosegregate with multiple disease resistance phenotypes. Most MRCs contain primarily members of a single NLR gene family but a few are more complex. MRC2 spans 73 Mb and contains 61 NLRs of six different gene families that cosegregate with nine disease resistance phenotypes. MRC3, which is 25 Mb, contains 22 RGC21 genes and colocates with Dm13. A library of 33 transgenic RNA interference tester stocks was generated for functional analysis of NLR-encoding genes that cosegregated with disease resistance phenotypes in each of the MRCs. Members of four NLR-encoding families, RGC1, RGC2, RGC21, and RGC12 were shown to be required for 16 disease resistance phenotypes in lettuce. The general composition of MRCs is conserved across different genotypes; however, the specific repertoire of NLR-encoding genes varied particularly of the rapidly evolving Type I genes. These tester stocks are valuable resources for future analyses of additional resistance phenotypes. Copyright © 2015 Christopoulou et al.

  11. Susceptibility to Chronic Mucus Hypersecretion, a Genome Wide Association Study

    Science.gov (United States)

    Dijkstra, Akkelies E.; Smolonska, Joanna; van den Berge, Maarten; Wijmenga, Ciska; Zanen, Pieter; Luinge, Marjan A.; Platteel, Mathieu; Lammers, Jan-Willem; Dahlback, Magnus; Tosh, Kerrie; Hiemstra, Pieter S.; Sterk, Peter J.; Spira, Avi; Vestbo, Jorgen; Nordestgaard, Borge G.; Benn, Marianne; Nielsen, Sune F.; Dahl, Morten; Verschuren, W. Monique; Picavet, H. Susan J.; Smit, Henriette A.; Owsijewitsch, Michael; Kauczor, Hans U.; de Koning, Harry J.; Nizankowska-Mogilnicka, Eva; Mejza, Filip; Nastalek, Pawel; van Diemen, Cleo C.; Cho, Michael H.; Silverman, Edwin K.; Crapo, James D.; Beaty, Terri H.; Lomas, David A.; Bakke, Per; Gulsvik, Amund; Bossé, Yohan; Obeidat, M. A.; Loth, Daan W.; Lahousse, Lies; Rivadeneira, Fernando; Uitterlinden, Andre G.; Hofman, Andre; Stricker, Bruno H.; Brusselle, Guy G.; van Duijn, Cornelia M.; Brouwer, Uilke; Koppelman, Gerard H.; Vonk, Judith M.; Nawijn, Martijn C.; Groen, Harry J. M.; Timens, Wim; Boezen, H. Marike; Postma, Dirkje S.

    2014-01-01

    Background Chronic mucus hypersecretion (CMH) is associated with an increased frequency of respiratory infections, excess lung function decline, and increased hospitalisation and mortality rates in the general population. It is associated with smoking, but it is unknown why only a minority of smokers develops CMH. A plausible explanation for this phenomenon is a predisposing genetic constitution. Therefore, we performed a genome wide association (GWA) study of CMH in Caucasian populations. Methods GWA analysis was performed in the NELSON-study using the Illumina 610 array, followed by replication and meta-analysis in 11 additional cohorts. In total 2,704 subjects with, and 7,624 subjects without CMH were included, all current or former heavy smokers (≥20 pack-years). Additional studies were performed to test the functional relevance of the most significant single nucleotide polymorphism (SNP). Results A strong association with CMH, consistent across all cohorts, was observed with rs6577641 (p = 4.25×10−6, OR = 1.17), located in intron 9 of the special AT-rich sequence-binding protein 1 locus (SATB1) on chromosome 3. The risk allele (G) was associated with higher mRNA expression of SATB1 (4.3×10−9) in lung tissue. Presence of CMH was associated with increased SATB1 mRNA expression in bronchial biopsies from COPD patients. SATB1 expression was induced during differentiation of primary human bronchial epithelial cells in culture. Conclusions Our findings, that SNP rs6577641 is associated with CMH in multiple cohorts and is a cis-eQTL for SATB1, together with our additional observation that SATB1 expression increases during epithelial differentiation provide suggestive evidence that SATB1 is a gene that affects CMH. PMID:24714607

  12. Genome-wide examination of myoblast cell cycle withdrawal duringdifferentiation

    Energy Technology Data Exchange (ETDEWEB)

    Shen, Xun; Collier, John Michael; Hlaing, Myint; Zhang, Leanne; Delshad, Elizabeth H.; Bristow, James; Bernstein, Harold S.

    2002-12-02

    Skeletal and cardiac myocytes cease division within weeks of birth. Although skeletal muscle retains limited capacity for regeneration through recruitment of satellite cells, resident populations of adult myocardial stem cells have not been identified. Because cell cycle withdrawal accompanies myocyte differentiation, we hypothesized that C2C12 cells, a mouse myoblast cell line previously used to characterize myocyte differentiation, also would provide a model for studying cell cycle withdrawal during differentiation. C2C12 cells were differentiated in culture medium containing horse serum and harvested at various time points to characterize the expression profiles of known cell cycle and myogenic regulatory factors by immunoblot analysis. BrdU incorporation decreased dramatically in confluent cultures 48 hr after addition of horse serum, as cells started to form myotubes. This finding was preceded by up-regulation of MyoD, followed by myogenin, and activation of Bcl-2. Cyclin D1 was expressed in proliferating cultures and became undetectable in cultures containing 40 percent fused myotubes, as levels of p21(WAF1/Cip1) increased and alpha-actin became detectable. Because C2C12 myoblasts withdraw from the cell cycle during myocyte differentiation following a course that recapitulates this process in vivo, we performed a genome-wide screen to identify other gene products involved in this process. Using microarrays containing approximately 10,000 minimally redundant mouse sequences that map to the UniGene database of the National Center for Biotechnology Information, we compared gene expression profiles between proliferating, differentiating, and differentiated C2C12 cells and verified candidate genes demonstrating differential expression by RT-PCR. Cluster analysis of differentially expressed genes revealed groups of gene products involved in cell cycle withdrawal, muscle differentiation, and apoptosis. In addition, we identified several genes, including DDAH2 and Ly

  13. Susceptibility to chronic mucus hypersecretion, a genome wide association study.

    Directory of Open Access Journals (Sweden)

    Akkelies E Dijkstra

    Full Text Available BACKGROUND: Chronic mucus hypersecretion (CMH is associated with an increased frequency of respiratory infections, excess lung function decline, and increased hospitalisation and mortality rates in the general population. It is associated with smoking, but it is unknown why only a minority of smokers develops CMH. A plausible explanation for this phenomenon is a predisposing genetic constitution. Therefore, we performed a genome wide association (GWA study of CMH in Caucasian populations. METHODS: GWA analysis was performed in the NELSON-study using the Illumina 610 array, followed by replication and meta-analysis in 11 additional cohorts. In total 2,704 subjects with, and 7,624 subjects without CMH were included, all current or former heavy smokers (≥20 pack-years. Additional studies were performed to test the functional relevance of the most significant single nucleotide polymorphism (SNP. RESULTS: A strong association with CMH, consistent across all cohorts, was observed with rs6577641 (p = 4.25×10(-6, OR = 1.17, located in intron 9 of the special AT-rich sequence-binding protein 1 locus (SATB1 on chromosome 3. The risk allele (G was associated with higher mRNA expression of SATB1 (4.3×10(-9 in lung tissue. Presence of CMH was associated with increased SATB1 mRNA expression in bronchial biopsies from COPD patients. SATB1 expression was induced during differentiation of primary human bronchial epithelial cells in culture. CONCLUSIONS: Our findings, that SNP rs6577641 is associated with CMH in multiple cohorts and is a cis-eQTL for SATB1, together with our additional observation that SATB1 expression increases during epithelial differentiation provide suggestive evidence that SATB1 is a gene that affects CMH.

  14. Genome-Wide Association Study of Schizophrenia in Japanese Population

    Science.gov (United States)

    Yamada, Kazuo; Iwayama, Yoshimi; Hattori, Eiji; Iwamoto, Kazuya; Toyota, Tomoko; Ohnishi, Tetsuo; Ohba, Hisako; Maekawa, Motoko; Kato, Tadafumi; Yoshikawa, Takeo

    2011-01-01

    Schizophrenia is a devastating neuropsychiatric disorder with genetically complex traits. Genetic variants should explain a considerable portion of the risk for schizophrenia, and genome-wide association study (GWAS) is a potentially powerful tool for identifying the risk variants that underlie the disease. Here, we report the results of a three-stage analysis of three independent cohorts consisting of a total of 2,535 samples from Japanese and Chinese populations for searching schizophrenia susceptibility genes using a GWAS approach. Firstly, we examined 115,770 single nucleotide polymorphisms (SNPs) in 120 patient-parents trio samples from Japanese schizophrenia pedigrees. In stage II, we evaluated 1,632 SNPs (1,159 SNPs of p<0.01 and 473 SNPs of p<0.05 that located in previously reported linkage regions). The second sample consisted of 1,012 case-control samples of Japanese origin. The most significant p value was obtained for the SNP in the ELAVL2 [(embryonic lethal, abnormal vision, Drosophila)-like 2] gene located on 9p21.3 (p = 0.00087). In stage III, we scrutinized the ELAVL2 gene by genotyping gene-centric tagSNPs in the third sample set of 293 family samples (1,163 individuals) of Chinese descent and the SNP in the gene showed a nominal association with schizophrenia in Chinese population (p = 0.026). The current data in Asian population would be helpful for deciphering ethnic diversity of schizophrenia etiology. PMID:21674006

  15. Genome-wide survey for biologically functional pseudogenes.

    Directory of Open Access Journals (Sweden)

    Orjan Svensson

    2006-05-01

    Full Text Available According to current estimates there exist about 20,000 pseudogenes in a mammalian genome. The vast majority of these are disabled and nonfunctional copies of protein-coding genes which, therefore, evolve neutrally. Recent findings that a Makorin1 pseudogene, residing on mouse Chromosome 5, is, indeed, in vivo vital and also evolutionarily preserved, encouraged us to conduct a genome-wide survey for other functional pseudogenes in human, mouse, and chimpanzee. We identify to our knowledge the first examples of conserved pseudogenes common to human and mouse, originating from one duplication predating the human-mouse species split and having evolved as pseudogenes since the species split. Functionality is one possible way to explain the apparently contradictory properties of such pseudogene pairs, i.e., high conservation and ancient origin. The hypothesis of functionality is tested by comparing expression evidence and synteny of the candidates with proper test sets. The tests suggest potential biological function. Our candidate set includes a small set of long-lived pseudogenes whose unknown potential function is retained since before the human-mouse species split, and also a larger group of primate-specific ones found from human-chimpanzee searches. Two processed sequences are notable, their conservation since the human-mouse split being as high as most protein-coding genes; one is derived from the protein Ataxin 7-like 3 (ATX7NL3, and one from the Spinocerebellar ataxia type 1 protein (ATX1. Our approach is comparative and can be applied to any pair of species. It is implemented by a semi-automated pipeline based on cross-species BLAST comparisons and maximum-likelihood phylogeny estimations. To separate pseudogenes from protein-coding genes, we use standard methods, utilizing in-frame disablements, as well as a probabilistic filter based on Ka/Ks ratios.

  16. Genome-wide identification of direct HBx genomic targets

    KAUST Repository

    Guerrieri, Francesca

    2017-02-17

    Background The Hepatitis B Virus (HBV) HBx regulatory protein is required for HBV replication and involved in HBV-related carcinogenesis. HBx interacts with chromatin modifying enzymes and transcription factors to modulate histone post-translational modifications and to regulate viral cccDNA transcription and cellular gene expression. Aiming to identify genes and non-coding RNAs (ncRNAs) directly targeted by HBx, we performed a chromatin immunoprecipitation sequencing (ChIP-Seq) to analyse HBV recruitment on host cell chromatin in cells replicating HBV. Results ChIP-Seq high throughput sequencing of HBx-bound fragments was used to obtain a high-resolution, unbiased, mapping of HBx binding sites across the genome in HBV replicating cells. Protein-coding genes and ncRNAs involved in cell metabolism, chromatin dynamics and cancer were enriched among HBx targets together with genes/ncRNAs known to modulate HBV replication. The direct transcriptional activation of genes/miRNAs that potentiate endocytosis (Ras-related in brain (RAB) GTPase family) and autophagy (autophagy related (ATG) genes, beclin-1, miR-33a) and the transcriptional repression of microRNAs (miR-138, miR-224, miR-576, miR-596) that directly target the HBV pgRNA and would inhibit HBV replication, contribute to HBx-mediated increase of HBV replication. Conclusions Our ChIP-Seq analysis of HBx genome wide chromatin recruitment defined the repertoire of genes and ncRNAs directly targeted by HBx and led to the identification of new mechanisms by which HBx positively regulates cccDNA transcription and HBV replication.

  17. Genome-wide methylation analyses in glioblastoma multiforme.

    Directory of Open Access Journals (Sweden)

    Rose K Lai

    Full Text Available Few studies had investigated genome-wide methylation in glioblastoma multiforme (GBM. Our goals were to study differential methylation across the genome in gene promoters using an array-based method, as well as repetitive elements using surrogate global methylation markers. The discovery sample set for this study consisted of 54 GBM from Columbia University and Case Western Reserve University, and 24 brain controls from the New York Brain Bank. We assembled a validation dataset using methylation data of 162 TCGA GBM and 140 brain controls from dbGAP. HumanMethylation27 Analysis Bead-Chips (Illumina were used to interrogate 26,486 informative CpG sites in both the discovery and validation datasets. Global methylation levels were assessed by analysis of L1 retrotransposon (LINE1, 5 methyl-deoxycytidine (5m-dC and 5 hydroxylmethyl-deoxycytidine (5hm-dC in the discovery dataset. We validated a total of 1548 CpG sites (1307 genes that were differentially methylated in GBM compared to controls. There were more than twice as many hypomethylated genes as hypermethylated ones. Both the discovery and validation datasets found 5 tumor methylation classes. Pathway analyses showed that the top ten pathways in hypomethylated genes were all related to functions of innate and acquired immunities. Among hypermethylated pathways, transcriptional regulatory network in embryonic stem cells was the most significant. In the study of global methylation markers, 5m-dC level was the best discriminant among methylation classes, whereas in survival analyses, high level of LINE1 methylation was an independent, favorable prognostic factor in the discovery dataset. Based on a pathway approach, hypermethylation in genes that control stem cell differentiation were significant, poor prognostic factors of overall survival in both the discovery and validation datasets. Approaches that targeted these methylated genes may be a future therapeutic goal.

  18. Improved statistics for genome-wide interaction analysis.

    Science.gov (United States)

    Ueki, Masao; Cordell, Heather J

    2012-01-01

    Recently, Wu and colleagues [1] proposed two novel statistics for genome-wide interaction analysis using case/control or case-only data. In computer simulations, their proposed case/control statistic outperformed competing approaches, including the fast-epistasis option in PLINK and logistic regression analysis under the correct model; however, reasons for its superior performance were not fully explored. Here we investigate the theoretical properties and performance of Wu et al.'s proposed statistics and explain why, in some circumstances, they outperform competing approaches. Unfortunately, we find minor errors in the formulae for their statistics, resulting in tests that have higher than nominal type 1 error. We also find minor errors in PLINK's fast-epistasis and case-only statistics, although theory and simulations suggest that these errors have only negligible effect on type 1 error. We propose adjusted versions of all four statistics that, both theoretically and in computer simulations, maintain correct type 1 error rates under the null hypothesis. We also investigate statistics based on correlation coefficients that maintain similar control of type 1 error. Although designed to test specifically for interaction, we show that some of these previously-proposed statistics can, in fact, be sensitive to main effects at one or both loci, particularly in the presence of linkage disequilibrium. We propose two new "joint effects" statistics that, provided the disease is rare, are sensitive only to genuine interaction effects. In computer simulations we find, in most situations considered, that highest power is achieved by analysis under the correct genetic model. Such an analysis is unachievable in practice, as we do not know this model. However, generally high power over a wide range of scenarios is exhibited by our joint effects and adjusted Wu statistics. We recommend use of these alternative or adjusted statistics and urge caution when using Wu et al

  19. Genome-Wide Associations of Gene Expression Variation in Humans.

    Directory of Open Access Journals (Sweden)

    2005-12-01

    Full Text Available The exploration of quantitative variation in human populations has become one of the major priorities for medical genetics. The successful identification of variants that contribute to complex traits is highly dependent on reliable assays and genetic maps. We have performed a genome-wide quantitative trait analysis of 630 genes in 60 unrelated Utah residents with ancestry from Northern and Western Europe using the publicly available phase I data of the International HapMap project. The genes are located in regions of the human genome with elevated functional annotation and disease interest including the ENCODE regions spanning 1% of the genome, Chromosome 21 and Chromosome 20q12-13.2. We apply three different methods of multiple test correction, including Bonferroni, false discovery rate, and permutations. For the 374 expressed genes, we find many regions with statistically significant association of single nucleotide polymorphisms (SNPs with expression variation in lymphoblastoid cell lines after correcting for multiple tests. Based on our analyses, the signal proximal (cis- to the genes of interest is more abundant and more stable than distal and trans across statistical methodologies. Our results suggest that regulatory polymorphism is widespread in the human genome and show that the 5-kb (phase I HapMap has sufficient density to enable linkage disequilibrium mapping in humans. Such studies will significantly enhance our ability to annotate the non-coding part of the genome and interpret functional variation. In addition, we demonstrate that the HapMap cell lines themselves may serve as a useful resource for quantitative measurements at the cellular level.

  20. Genome-wide associations of gene expression variation in humans.

    Directory of Open Access Journals (Sweden)

    Barbara E Stranger

    2005-12-01

    Full Text Available The exploration of quantitative variation in human populations has become one of the major priorities for medical genetics. The successful identification of variants that contribute to complex traits is highly dependent on reliable assays and genetic maps. We have performed a genome-wide quantitative trait analysis of 630 genes in 60 unrelated Utah residents with ancestry from Northern and Western Europe using the publicly available phase I data of the International HapMap project. The genes are located in regions of the human genome with elevated functional annotation and disease interest including the ENCODE regions spanning 1% of the genome, Chromosome 21 and Chromosome 20q12-13.2. We apply three different methods of multiple test correction, including Bonferroni, false discovery rate, and permutations. For the 374 expressed genes, we find many regions with statistically significant association of single nucleotide polymorphisms (SNPs with expression variation in lymphoblastoid cell lines after correcting for multiple tests. Based on our analyses, the signal proximal (cis- to the genes of interest is more abundant and more stable than distal and trans across statistical methodologies. Our results suggest that regulatory polymorphism is widespread in the human genome and show that the 5-kb (phase I HapMap has sufficient density to enable linkage disequilibrium mapping in humans. Such studies will significantly enhance our ability to annotate the non-coding part of the genome and interpret functional variation. In addition, we demonstrate that the HapMap cell lines themselves may serve as a useful resource for quantitative measurements at the cellular level.

  1. Genome-wide signatures of convergent evolution in echolocating mammals.

    Science.gov (United States)

    Parker, Joe; Tsagkogeorga, Georgia; Cotton, James A; Liu, Yuan; Provero, Paolo; Stupka, Elia; Rossiter, Stephen J

    2013-10-10

    Evolution is typically thought to proceed through divergence of genes, proteins and ultimately phenotypes. However, similar traits might also evolve convergently in unrelated taxa owing to similar selection pressures. Adaptive phenotypic convergence is widespread in nature, and recent results from several genes have suggested that this phenomenon is powerful enough to also drive recurrent evolution at the sequence level. Where homoplasious substitutions do occur these have long been considered the result of neutral processes. However, recent studies have demonstrated that adaptive convergent sequence evolution can be detected in vertebrates using statistical methods that model parallel evolution, although the extent to which sequence convergence between genera occurs across genomes is unknown. Here we analyse genomic sequence data in mammals that have independently evolved echolocation and show that convergence is not a rare process restricted to several loci but is instead widespread, continuously distributed and commonly driven by natural selection acting on a small number of sites per locus. Systematic analyses of convergent sequence evolution in 805,053 amino acids within 2,326 orthologous coding gene sequences compared across 22 mammals (including four newly sequenced bat genomes) revealed signatures consistent with convergence in nearly 200 loci. Strong and significant support for convergence among bats and the bottlenose dolphin was seen in numerous genes linked to hearing or deafness, consistent with an involvement in echolocation. Unexpectedly, we also found convergence in many genes linked to vision: the convergent signal of many sensory genes was robustly correlated with the strength of natural selection. This first attempt to detect genome-wide convergent sequence evolution across divergent taxa reveals the phenomenon to be much more pervasive than previously recognized.

  2. Genome-wide association study of schizophrenia in Japanese population.

    Directory of Open Access Journals (Sweden)

    Kazuo Yamada

    Full Text Available Schizophrenia is a devastating neuropsychiatric disorder with genetically complex traits. Genetic variants should explain a considerable portion of the risk for schizophrenia, and genome-wide association study (GWAS is a potentially powerful tool for identifying the risk variants that underlie the disease. Here, we report the results of a three-stage analysis of three independent cohorts consisting of a total of 2,535 samples from Japanese and Chinese populations for searching schizophrenia susceptibility genes using a GWAS approach. Firstly, we examined 115,770 single nucleotide polymorphisms (SNPs in 120 patient-parents trio samples from Japanese schizophrenia pedigrees. In stage II, we evaluated 1,632 SNPs (1,159 SNPs of p<0.01 and 473 SNPs of p<0.05 that located in previously reported linkage regions. The second sample consisted of 1,012 case-control samples of Japanese origin. The most significant p value was obtained for the SNP in the ELAVL2 [(embryonic lethal, abnormal vision, Drosophila-like 2] gene located on 9p21.3 (p = 0.00087. In stage III, we scrutinized the ELAVL2 gene by genotyping gene-centric tagSNPs in the third sample set of 293 family samples (1,163 individuals of Chinese descent and the SNP in the gene showed a nominal association with schizophrenia in Chinese population (p = 0.026. The current data in Asian population would be helpful for deciphering ethnic diversity of schizophrenia etiology.

  3. Probabilistic protein function prediction from heterogeneous genome-wide data.

    Directory of Open Access Journals (Sweden)

    Naoki Nariai

    Full Text Available Dramatic improvements in high throughput sequencing technologies have led to a staggering growth in the number of predicted genes. However, a large fraction of these newly discovered genes do not have a functional assignment. Fortunately, a variety of novel high-throughput genome-wide functional screening technologies provide important clues that shed light on gene function. The integration of heterogeneous data to predict protein function has been shown to improve the accuracy of automated gene annotation systems. In this paper, we propose and evaluate a probabilistic approach for protein function prediction that integrates protein-protein interaction (PPI data, gene expression data, protein motif information, mutant phenotype data, and protein localization data. First, functional linkage graphs are constructed from PPI data and gene expression data, in which an edge between nodes (proteins represents evidence for functional similarity. The assumption here is that graph neighbors are more likely to share protein function, compared to proteins that are not neighbors. The functional linkage graph model is then used in concert with protein domain, mutant phenotype and protein localization data to produce a functional prediction. Our method is applied to the functional prediction of Saccharomyces cerevisiae genes, using Gene Ontology (GO terms as the basis of our annotation. In a cross validation study we show that the integrated model increases recall by 18%, compared to using PPI data alone at the 50% precision. We also show that the integrated predictor is significantly better than each individual predictor. However, the observed improvement vs. PPI depends on both the new source of data and the functional category to be predicted. Surprisingly, in some contexts integration hurts overall prediction accuracy. Lastly, we provide a comprehensive assignment of putative GO terms to 463 proteins that currently have no assigned function.

  4. Identification of neural outgrowth genes using genome-wide RNAi.

    Directory of Open Access Journals (Sweden)

    Katharine J Sepp

    2008-07-01

    Full Text Available While genetic screens have identified many genes essential for neurite outgrowth, they have been limited in their ability to identify neural genes that also have earlier critical roles in the gastrula, or neural genes for which maternally contributed RNA compensates for gene mutations in the zygote. To address this, we developed methods to screen the Drosophila genome using RNA-interference (RNAi on primary neural cells and present the results of the first full-genome RNAi screen in neurons. We used live-cell imaging and quantitative image analysis to characterize the morphological phenotypes of fluorescently labelled primary neurons and glia in response to RNAi-mediated gene knockdown. From the full genome screen, we focused our analysis on 104 evolutionarily conserved genes that when downregulated by RNAi, have morphological defects such as reduced axon extension, excessive branching, loss of fasciculation, and blebbing. To assist in the phenotypic analysis of the large data sets, we generated image analysis algorithms that could assess the statistical significance of the mutant phenotypes. The algorithms were essential for the analysis of the thousands of images generated by the screening process and will become a valuable tool for future genome-wide screens in primary neurons. Our analysis revealed unexpected, essential roles in neurite outgrowth for genes representing a wide range of functional categories including signalling molecules, enzymes, channels, receptors, and cytoskeletal proteins. We also found that genes known to be involved in protein and vesicle trafficking showed similar RNAi phenotypes. We confirmed phenotypes of the protein trafficking genes Sec61alpha and Ran GTPase using Drosophila embryo and mouse embryonic cerebral cortical neurons, respectively. Collectively, our results showed that RNAi phenotypes in primary neural culture can parallel in vivo phenotypes, and the screening technique can be used to identify many new

  5. A Genome-Wide Search for Greek and Jewish Admixture in the Kashmiri Population.

    Science.gov (United States)

    Downie, Jonathan M; Tashi, Tsewang; Lorenzo, Felipe Ramos; Feusier, Julie Ellen; Mir, Hyder; Prchal, Josef T; Jorde, Lynn B; Koul, Parvaiz A

    2016-01-01

    The Kashmiri population is an ethno-linguistic group that resides in the Kashmir Valley in northern India. A longstanding hypothesis is that this population derives ancestry from Jewish and/or Greek sources. There is historical and archaeological evidence of ancient Greek presence in India and Kashmir. Further, some historical accounts suggest ancient Hebrew ancestry as well. To date, it has not been determined whether signatures of Greek or Jewish admixture can be detected in the Kashmiri population. Using genome-wide genotyping and admixture detection methods, we determined there are no significant or substantial signs of Greek or Jewish admixture in modern-day Kashmiris. The ancestry of Kashmiri Tibetans was also determined, which showed signs of admixture with populations from northern India and west Eurasia. These results contribute to our understanding of the existing population structure in northern India and its surrounding geographical areas.

  6. A Genome-Wide Search for Greek and Jewish Admixture in the Kashmiri Population

    Science.gov (United States)

    Tashi, Tsewang; Lorenzo, Felipe Ramos; Feusier, Julie Ellen; Mir, Hyder

    2016-01-01

    The Kashmiri population is an ethno-linguistic group that resides in the Kashmir Valley in northern India. A longstanding hypothesis is that this population derives ancestry from Jewish and/or Greek sources. There is historical and archaeological evidence of ancient Greek presence in India and Kashmir. Further, some historical accounts suggest ancient Hebrew ancestry as well. To date, it has not been determined whether signatures of Greek or Jewish admixture can be detected in the Kashmiri population. Using genome-wide genotyping and admixture detection methods, we determined there are no significant or substantial signs of Greek or Jewish admixture in modern-day Kashmiris. The ancestry of Kashmiri Tibetans was also determined, which showed signs of admixture with populations from northern India and west Eurasia. These results contribute to our understanding of the existing population structure in northern India and its surrounding geographical areas. PMID:27490348

  7. Genome-Wide Association Mapping for Intelligence in Military Working Dogs: Development of Advanced Classification Algorithm for Genome-Wide Single Nucleotide Polymorphism (SNP) Data Analysis

    Science.gov (United States)

    2011-04-01

    al. (2007) “Efficient mapping of mendelian traits in dogs through genome-wide association.” Nat Genet 39:1321-1328. 12 Distribution A...collected data to genetically map superior intelligence in the military working dog. A behavioral testing regimen was developed by canine cognitive expert Dr...TERMS Military working dog genome-wide association study genetic marker intelligence 16

  8. Genome-wide redistribution of BRD4 binding sites in transformation resistant cells

    Directory of Open Access Journals (Sweden)

    Han Si

    2015-03-01

    Full Text Available Hutchinson–Gilford progeria syndrome (HGPS patients do not develop cancer despite a significant accumulation of DNA damage in their cells. We have recently reported that HGPS cells are refractory to experimental oncogenic transformation and we identified the bromodomain-containing 4 protein (BRD4 as a mediator of the transformation resistance. ChIP-sequencing experiments revealed distinct genome-wide binding patterns for BRD4 in HGPS cells when compared to control wild type cells. Here we provide a detailed description of the ChIP-seq dataset (NCBI GEO accession number GSE61325, the specific and common BRD4 binding sites between HGPS and control cells, and the data analysis procedure associated with the publication by Fernandez et al., 2014 in Cell Reports 9, 248-260 [1].

  9. RNA 3D modules in genome-wide predictions of RNA 2D structure

    DEFF Research Database (Denmark)

    Theis, Corinna; Zirbel, Craig L; Zu Siederdissen, Christian Höner

    2015-01-01

    Recent experimental and computational progress has revealed a large potential for RNA structure in the genome. This has been driven by computational strategies that exploit multiple genomes of related organisms to identify common sequences and secondary structures. However, these computational...... approaches have two main challenges: they are computationally expensive and they have a relatively high false discovery rate (FDR). Simultaneously, RNA 3D structure analysis has revealed modules composed of non-canonical base pairs which occur in non-homologous positions, apparently by independent evolution....... These modules can, for example, occur inside structural elements which in RNA 2D predictions appear as internal loops. Hence one question is if the use of such RNA 3D information can improve the prediction accuracy of RNA secondary structure at a genome-wide level. Here, we use RNAz in combination with 3D...

  10. Genome-wide Escherichia coli stress response and improved tolerance towards industrially relevant chemicals

    DEFF Research Database (Denmark)

    Rau, Martin Holm; Calero Valdayo, Patricia; Lennen, Rebecca

    2016-01-01

    of transcription changes within and between chemical groups, with functions such as energy metabolism, stress response, membrane modification, transporters and iron metabolism being affected. Regulon enrichment analysis identified key regulators likely mediating the transcriptional response, including CRP, Rpo...... approach was employed to understand the chemical stress response of Escherichia coli, including a genome-wide screen for mutants with increased fitness during chemical stress. Twelve chemicals with significant production potential were selected, consisting of organic solvent-like chemicals (butanol...... stress identified 294 enriched and 336 depleted mutants and experimental validation revealed up to 60 % increase in mutant growth rates. Mutants enriched in several conditions contained, among others, insertions in genes of the Mar-Sox-Rob regulon as well as transcription and translation related gene...

  11. Genome-wide identification of the regulatory targets of a transcription factor using biochemical characterization and computational genomic analysis

    Directory of Open Access Journals (Sweden)

    Jolly Emmitt R

    2005-11-01

    Full Text Available Abstract Background A major challenge in computational genomics is the development of methodologies that allow accurate genome-wide prediction of the regulatory targets of a transcription factor. We present a method for target identification that combines experimental characterization of binding requirements with computational genomic analysis. Results Our method identified potential target genes of the transcription factor Ndt80, a key transcriptional regulator involved in yeast sporulation, using the combined information of binding affinity, positional distribution, and conservation of the binding sites across multiple species. We have also developed a mathematical approach to compute the false positive rate and the total number of targets in the genome based on the multiple selection criteria. Conclusion We have shown that combining biochemical characterization and computational genomic analysis leads to accurate identification of the genome-wide targets of a transcription factor. The method can be extended to other transcription factors and can complement other genomic approaches to transcriptional regulation.

  12. Genome-wide analysis of alternative splicing in Chlamydomonas reinhardtii

    Directory of Open Access Journals (Sweden)

    Thomas Julie

    2010-02-01

    Full Text Available Abstract Background Genome-wide computational analysis of alternative splicing (AS in several flowering plants has revealed that pre-mRNAs from about 30% of genes undergo AS. Chlamydomonas, a simple unicellular green alga, is part of the lineage that includes land plants. However, it diverged from land plants about one billion years ago. Hence, it serves as a good model system to study alternative splicing in early photosynthetic eukaryotes, to obtain insights into the evolution of this process in plants, and to compare splicing in simple unicellular photosynthetic and non-photosynthetic eukaryotes. We performed a global analysis of alternative splicing in Chlamydomonas reinhardtii using its recently completed genome sequence and all available ESTs and cDNAs. Results Our analysis of AS using BLAT and a modified version of the Sircah tool revealed AS of 498 transcriptional units with 611 events, representing about 3% of the total number of genes. As in land plants, intron retention is the most prevalent form of AS. Retained introns and skipped exons tend to be shorter than their counterparts in constitutively spliced genes. The splice site signals in all types of AS events are weaker than those in constitutively spliced genes. Furthermore, in alternatively spliced genes, the prevalent splice form has a stronger splice site signal than the non-prevalent form. Analysis of constitutively spliced introns revealed an over-abundance of motifs with simple repetitive elements in comparison to introns involved in intron retention. In almost all cases, AS results in a truncated ORF, leading to a coding sequence that is around 50% shorter than the prevalent splice form. Using RT-PCR we verified AS of two genes and show that they produce more isoforms than indicated by EST data. All cDNA/EST alignments and splice graphs are provided in a website at http://combi.cs.colostate.edu/as/chlamy. Conclusions The extent of AS in Chlamydomonas that we observed is much

  13. A Genome-wide Pleiotropy Scan for Prostate Cancer Risk

    Science.gov (United States)

    Panagiotou, Orestis A; Travis, Ruth C; Campa, Daniele; Berndt, Sonja I.; Lindstrom, Sara; Kraft, Peter; Schumacher, Fredrick R.; Siddiq, Afshan; Papatheodorou, Stefania I.; Stanford, Janet L.; Albanes, Demetrius; Virtamo, Jarmo; Weinstein, Stephanie J.; Diver, W. Ryan; Gapstur, Susan M.; Stevens, Victoria L.; Boeing, Heiner; Bueno-de-Mesquita, H. Bas; Gurrea, Aurelio Barricarte; Kaaks, Rudolf; Khaw, Kay-Tee; Krogh, Vittorio; Overvad, Kim; Riboli, Elio; Trichopoulos, Dimitrios; Giovannucci, Edward; Stampfer, Meir; Haiman, Christopher; Henderson, Brian; Le Marchand, Loic; Gaziano, J. Michael; Hunter, DavidJ.; Koutros, Stella; Yeager, Meredith; Hoover, Robert N.; Chanock, Stephen J.; Wacholder, Sholom; Key, Timothy J.; Tsilidis, Konstantinos K

    2014-01-01

    Background No single-nucleotide polymorphisms (SNPs) specific for aggressive prostate cancer have been identified in genome-wide association studies (GWAS). Objective To test if SNPs associated with other traits may also affect the risk of aggressive prostate cancer. Design, setting, and participants SNPs implicated in any phenotype other than prostate cancer (p ≤ 10−7) were identified through the catalog of published GWAS and tested in 2891 aggressive prostate cancer cases and 4592 controls from the Breast and Prostate Cancer Cohort Consortium (BPC3). The 40 most significant SNPs were followed up in 4872 aggressive prostate cancer cases and 24 534 controls from the Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) consortium. Outcome measurements and statistical analysis Odds ratios (ORs) and 95% confidence intervals (CIs) for aggressive prostate cancer were estimated. Results and limitations A total of 4666 SNPs were evaluated by the BPC3. Two signals were seen in regions already reported for prostate cancer risk. rs7014346 at 8q24.21 was marginally associated with aggressive prostate cancer in the BPC3 trial (p = 1.6 × 10-6), whereas after meta-analysis by PRACTICAL the summary OR was 1.21 (95%CI 1.16–1.27; p = 3.22 × 10−18). rs9900242 at 17q24.3 was also marginally associated with aggressive disease in the meta-analysis (OR 0.90, 95% CI 0.86–0.94; p = 2.5 × 10−6). Neither of these SNPs remained statistically significant when conditioning on correlated known prostate cancer SNPs. The meta-analysis by BPC3 and PRACTICAL identified a third promising signal, marked by rs16844874 at 2q34, independent of known prostate cancer loci (OR 1.12,95% CI 1.06–1.19; p = 4.67 × 10−5); it has been shown that SNPs correlated with this signal affect glycine concentrations. The main limitation is the heterogeneity in the definition of aggressive prostate cancer between BPC3 and PRACTICAL. Conclusions We did

  14. Genome-wide association study of colorectal cancer in Hispanics

    Science.gov (United States)

    Schmit, Stephanie L.; Schumacher, Fredrick R.; Edlund, Christopher K.; Conti, David V.; Ihenacho, Ugonna; Wan, Peggy; Van Den Berg, David; Casey, Graham; Fortini, Barbara K.; Lenz, Heinz-Josef; Tusié-Luna, Teresa; Aguilar-Salinas, Carlos A.; Moreno-Macías, Hortensia; Huerta-Chagoya, Alicia; Ordóñez-Sánchez, María Luisa; Rodríguez-Guillén, Rosario; Cruz-Bautista, Ivette; Rodríguez-Torres, Maribel; Muñóz-Hernández, Linda Liliana; Arellano-Campos, Olimpia; Gómez, Donají; Alvirde, Ulices; González-Villalpando, Clicerio; González-Villalpando, María Elena; Le Marchand, Loic; Haiman, Christopher A.; Figueiredo, Jane C.

    2016-01-01

    Genome-wide association studies (GWAS) have identified 58 susceptibility alleles across 37 regions associated with the risk of colorectal cancer (CRC) with P < 5×10−8. Most studies have been conducted in non-Hispanic whites and East Asians; however, the generalizability of these findings and the potential for ethnic-specific risk variation in Hispanic and Latino (HL) individuals have been largely understudied. We describe the first GWAS of common genetic variation contributing to CRC risk in HL (1611 CRC cases and 4330 controls). We also examine known susceptibility alleles and implement imputation-based fine-mapping to identify potential ethnicity-specific association signals in known risk regions. We discovered 17 variants across 4 independent regions that merit further investigation due to suggestive CRC associations (P < 1×10−6) at 1p34.3 (rs7528276; Odds Ratio (OR) = 1.86 [95% confidence interval (CI): 1.47–2.36); P = 2.5×10−7], 2q23.3 (rs1367374; OR = 1.37 (95% CI: 1.21–1.55); P = 4.0×10−7), 14q24.2 (rs143046984; OR = 1.65 (95% CI: 1.36–2.01); P = 4.1×10−7) and 16q12.2 [rs142319636; OR = 1.69 (95% CI: 1.37–2.08); P=7.8×10−7]. Among the 57 previously published CRC susceptibility alleles with minor allele frequency ≥1%, 76.5% of SNPs had a consistent direction of effect and 19 (33.3%) were nominally statistically significant (P < 0.05). Further, rs185423955 and rs60892987 were identified as novel secondary susceptibility variants at 3q26.2 (P = 5.3×10–5) and 11q12.2 (P = 6.8×10−5), respectively. Our findings demonstrate the importance of fine mapping in HL. These results are informative for variant prioritization in functional studies and future risk prediction modeling in minority populations. PMID:27207650

  15. Dating the age of admixture via wavelet transform analysis of genome-wide data

    NARCIS (Netherlands)

    I. Pugach (Irina); R. Matveyev (Rostislav); A. Wollstein (Andreas); M.H. Kayser (Manfred); M. Stoneking (Mark)

    2011-01-01

    textabstractWe describe a PCA-based genome scan approach to analyze genome-wide admixture structure, and introduce wavelet transform analysis as a method for estimating the time of admixture. We test the wavelet transform method with simulations and apply it to genome-wide SNP data from eight admixe

  16. Case-Control Genome-Wide Association Study of Attention-Deficit/Hyperactivity Disorder

    Science.gov (United States)

    Neale, Benjamin M.; Medland, Sarah; Ripke, Stephan; Anney, Richard J. L.; Asherson, Philip; Buitelaar, Jan; Franke, Barbara; Gill, Michael; Kent, Lindsey; Holmans, Peter; Middleton, Frank; Thapar, Anita; Lesch, Klaus-Peter; Faraone, Stephen V.; Daly, Mark; Nguyen, Thuy Trang; Schafer, Helmut; Steinhausen, Hans-Christoph; Reif, Andreas; Renner, Tobias J.; Romanos, Marcel; Romanos, Jasmin; Warnke, Andreas; Walitza, Susanne; Freitag, Christine; Meyer, Jobst; Palmason, Haukur; Rothenberger, Aribert; Hawi, Ziarih; Sergeant, Joseph; Roeyers, Herbert; Mick, Eric; Biederman, Joseph

    2010-01-01

    Objective: Although twin and family studies have shown attention-deficit/hyperactivity disorder (ADHD) to be highly heritable, genetic variants influencing the trait at a genome-wide significant level have yet to be identified. Thus additional genome-wide association studies (GWAS) are needed. Method: We used case-control analyses of 896 cases…

  17. Family-Based Genome-Wide Association Scan of Attention-Deficit/Hyperactivity Disorder

    Science.gov (United States)

    Mick, Eric; Todorov, Alexandre; Smalley, Susan; Hu, Xiaolan; Loo, Sandra; Todd, Richard D.; Biederman, Joseph; Byrne, Deirdre; Dechairo, Bryan; Guiney, Allan; McCracken, James; McGough, James; Nelson, Stanley F.; Reiersen, Angela M.; Wilens, Timothy E.; Wozniak, Janet; Neale, Benjamin M.; Faraone, Stephen V.

    2010-01-01

    Objective: Genes likely play a substantial role in the etiology of attention-deficit/hyperactivity disorder (ADHD). However, the genetic architecture of the disorder is unknown, and prior genome-wide association studies (GWAS) have not identified a genome-wide significant association. We have conducted a third, independent, multisite GWAS of…

  18. Meta-Analysis of Genome-Wide Association Studies of Attention-Deficit/Hyperactivity Disorder

    Science.gov (United States)

    Neale, Benjamin M.; Medland, Sarah E.; Ripke, Stephan; Asherson, Philip; Franke, Barbara; Lesch, Klaus-Peter; Faraone, Stephen V.; Nguyen, Thuy Trang; Schafer, Helmut; Holmans, Peter; Daly, Mark; Steinhausen, Hans-Christoph; Freitag, Christine; Reif, Andreas; Renner, Tobias J.; Romanos, Marcel; Romanos, Jasmin; Walitza, Susanne; Warnke, Andreas; Meyer, Jobst; Palmason, Haukur; Buitelaar, Jan; Vasquez, Alejandro Arias; Lambregts-Rommelse, Nanda; Gill, Michael; Anney, Richard J. L.; Langely, Kate; O'Donovan, Michael; Williams, Nigel; Owen, Michael; Thapar, Anita; Kent, Lindsey; Sergeant, Joseph; Roeyers, Herbert; Mick, Eric; Biederman, Joseph; Doyle, Alysa; Smalley, Susan; Loo, Sandra; Hakonarson, Hakon; Elia, Josephine; Todorov, Alexandre; Miranda, Ana; Mulas, Fernando; Ebstein, Richard P.; Rothenberger, Aribert; Banaschewski, Tobias; Oades, Robert D.; Sonuga-Barke, Edmund; McGough, James; Nisenbaum, Laura; Middleton, Frank; Hu, Xiaolan; Nelson, Stan

    2010-01-01

    Objective: Although twin and family studies have shown attention-deficit/hyperactivity disorder (ADHD) to be highly heritable, genetic variants influencing the trait at a genome-wide significant level have yet to be identified. As prior genome-wide association studies (GWAS) have not yielded significant results, we conducted a meta-analysis of…

  19. Genome-wide screening and identification of antigens for rickettsial vaccine development

    Science.gov (United States)

    The capacity to identify immunogens for vaccine development by genome-wide screening has been markedly enhanced by the availability of complete microbial genome sequences coupled to rapid proteomic and bioinformatic analysis. Critical to this genome-wide screening is in vivo testing in the context o...

  20. A Genome-Wide Association Search for Type 2 Diabetes Genes in African Americans

    NARCIS (Netherlands)

    Palmer, Nicholette D.; McDonough, Caitrin W.; Hicks, Pamela J.; Roh, Bong H.; Wing, Maria R.; An, S. Sandy; Hester, Jessica M.; Cooke, Jessica N.; Bostrom, Meredith A.; Rudock, Megan E.; Talbert, Matthew E.; Lewis, Joshua P.; Ferrara, Assiamira; Lu, Lingyi; Ziegler, Julie T.; Sale, Michele M.; Divers, Jasmin; Shriner, Daniel; Adeyemo, Adebowale; Rotimi, Charles N.; Ng, Maggie C. Y.; Langefeld, Carl D.; Freedman, Barry I.; Bowden, Donald W.

    2012-01-01

    African Americans are disproportionately affected by type 2 diabetes (T2DM) yet few studies have examined T2DM using genome-wide association approaches in this ethnicity. The aim of this study was to identify genes associated with T2DM in the African American population. We performed a Genome Wide A

  1. Genome-Wide Association Study and Linkage Analysis of the Healthy Aging Index

    DEFF Research Database (Denmark)

    Minster, Ryan L; Sanders, Jason L; Singh, Jatinder;

    2015-01-01

    BACKGROUND: The Healthy Aging Index (HAI) is a tool for measuring the extent of health and disease across multiple systems. METHODS: We conducted a genome-wide association study and a genome-wide linkage analysis to map quantitative trait loci associated with the HAI and a modified HAI weighted...

  2. Meta-analysis of genome-wide association studies of attention-deficit/hyperactivity disorder.

    NARCIS (Netherlands)

    Neale, B.M.; Medland, S.E.; Ripke, S.; Asherson, P.; Franke, B.; Lesch, K.P.; Faraone, S.V.; Nguyen, T.T.; Schafer, H.; Holmans, P.; Daly, M.; Steinhausen, H.C.; Freitag, C.; Reif, A.; Renner, T.J.; Romanos, M.; Romanos, J.; Walitza, S.; Warnke, A.; Meyer, J.; Palmason, H.; Buitelaar, J.K.; Vasquez, A.A.; Lambregts-Rommelse, N.N.J.; Gill, M.; Anney, R.J.; Langely, K.; O'Donovan, M.; Williams, N.; Owen, M.; Thapar, A.; Kent, L.; Sergeant, J.A.; Roeyers, H.; Mick, E.; Biederman, J.; Doyle, A.; Smalley, S.; Loo, S.; Hakonarson, H.; Elia, J.; Todorov, A.; Miranda, A.; Mulas, F.; Ebstein, R.P.; Rothenberger, A.; Banaschewski, T.; Oades, R.D.; Sonuga-Barke, E.; McGough, J.; Nisenbaum, L.; Middleton, F.; Hu, X.; Nelson, S.

    2010-01-01

    OBJECTIVE: Although twin and family studies have shown attention-deficit/hyperactivity disorder (ADHD) to be highly heritable, genetic variants influencing the trait at a genome-wide significant level have yet to be identified. As prior genome-wide association studies (GWAS) have not yielded signifi

  3. Meta-Analysis of Genome-Wide Association Studies of Attention-Deficit/Hyperactivity Disorder

    Science.gov (United States)

    Neale, Benjamin M.; Medland, Sarah E.; Ripke, Stephan; Asherson, Philip; Franke, Barbara; Lesch, Klaus-Peter; Faraone, Stephen V.; Nguyen, Thuy Trang; Schafer, Helmut; Holmans, Peter; Daly, Mark; Steinhausen, Hans-Christoph; Freitag, Christine; Reif, Andreas; Renner, Tobias J.; Romanos, Marcel; Romanos, Jasmin; Walitza, Susanne; Warnke, Andreas; Meyer, Jobst; Palmason, Haukur; Buitelaar, Jan; Vasquez, Alejandro Arias; Lambregts-Rommelse, Nanda; Gill, Michael; Anney, Richard J. L.; Langely, Kate; O'Donovan, Michael; Williams, Nigel; Owen, Michael; Thapar, Anita; Kent, Lindsey; Sergeant, Joseph; Roeyers, Herbert; Mick, Eric; Biederman, Joseph; Doyle, Alysa; Smalley, Susan; Loo, Sandra; Hakonarson, Hakon; Elia, Josephine; Todorov, Alexandre; Miranda, Ana; Mulas, Fernando; Ebstein, Richard P.; Rothenberger, Aribert; Banaschewski, Tobias; Oades, Robert D.; Sonuga-Barke, Edmund; McGough, James; Nisenbaum, Laura; Middleton, Frank; Hu, Xiaolan; Nelson, Stan

    2010-01-01

    Objective: Although twin and family studies have shown attention-deficit/hyperactivity disorder (ADHD) to be highly heritable, genetic variants influencing the trait at a genome-wide significant level have yet to be identified. As prior genome-wide association studies (GWAS) have not yielded significant results, we conducted a meta-analysis of…

  4. Assaying genome-wide recombination and centromere functions with Arabidopsis tetrads

    Science.gov (United States)

    Copenhaver, Gregory P.; Browne, William E.; Preuss, Daphne

    1998-01-01

    During meiosis, crossover events generate new allelic combinations, yet the abundance of these genetic exchanges in individual cells has not been measured previously on a genomic level. To perform a genome-wide analysis of recombination, we monitored the assortment of genetic markers in meiotic tetrads from Arabidopsis. By determining the number and distribution of crossovers in individual meiotic cells, we demonstrated (i) surprisingly precise regulation of crossover number in each meiosis, (ii) considerably reduced recombination along chromosomes carrying ribosomal DNA arrays, and (iii) an inversely proportional relationship between recombination frequencies and chromosome size. This use of tetrad analysis also achieved precise mapping of all five Arabidopsis centromeres, localizing centromere functions in the intact chromosomes of a higher eukaryote. PMID:9419361

  5. Data in support of genome-wide identification of lineage-specific genes within Caenorhabditis elegans

    Directory of Open Access Journals (Sweden)

    Kun Zhou

    2015-09-01

    Full Text Available Two sets of LSGs were identified using BLAST: Caenorhabditis elegans species-specific genes (SSGs, 1423, and Caenorhabditis genus-specific genes (GSGs, 4539. The data contained in this article show SSGs and GSGs have significant differences in evolution and that most of them were formed by gene duplication and integration of transposable elements (TEs. Subsequent observation of temporal expression and protein function presents that many SSGs and GSGs are expressed and that genes involved with sex determination, specific stress, immune response, and morphogenesis are most represented. The data are related to research article “Genome-wide identification of lineage-specific genes within Caenorhabditis elegans” in Journal of Genomics [1].

  6. Exploring hypertension genome-wide association studies findings and impact on pathophysiology, pathways, and pharmacogenetics.

    Science.gov (United States)

    Cabrera, Claudia P; Ng, Fu Liang; Warren, Helen R; Barnes, Michael R; Munroe, Patricia B; Caulfield, Mark J

    2015-01-01

    Hypertension is a major risk factor for global mortality. Recent genome-wide association studies (GWAS) have led to successful identification of many genetic loci influencing blood pressure, although these studies account for less than 5% of heritability. While genetic discovery efforts continue, it is timely to pause and reflect on what information has been gained to date from reported loci. Knowledge from GWAS findings inform our understanding of the pathways and pleiotropy underpinning hypertension and aid in the identification of potential druggable targets. By reviewing blood pressure loci we aim to determine how much potential the current observations have for future clinical utility. The authors have declared no conflicts of interest for this article. © 2015 Wiley Periodicals, Inc.

  7. Genome-wide analysis of the synonymous codon usage patterns in apple

    Institute of Scientific and Technical Information of China (English)

    LI Ning; SUN Mei-hong; JIANG Ze-sheng; SHU Huai-rui; ZHANG Shi-zhong

    2016-01-01

    Apple (Malus×domestica) has been proposed as an important woody plant and the major cultivated fruit trees in temperate regions. Apple whole genome sequencing has been completed, which provided an excelent opportunity for genome-wide analysis of the synonymous codon usage patterns. In this study, a multivariate bioinformatics analysis was performed to reveal the characteristics of synonymous codon usage and the main factors affecting codon bias in apple. The neutrality, correspondence, and correlation analyses were performed by CodonW and SPSS (Statistical Product and Service Solu-tions) programs, indicating that the apple genome codon usage patterns were affected by mutational pressure and selective constraint. Meanwhile, coding sequence length and the hydrophobicity of proteins could also inlfuence the codon usage patterns. In short, codon usage pattern analysis and determination of optimal codons has laid an important theoretical basis for genetic engineering, gene prediction and molecular evolution studies in apple.

  8. An Integrated Genome-Wide Systems Genetics Screen for Breast Cancer Metastasis Susceptibility Genes.

    Directory of Open Access Journals (Sweden)

    Ling Bai

    2016-04-01

    Full Text Available Metastasis remains the primary cause of patient morbidity and mortality in solid tumors and is due to the action of a large number of tumor-autonomous and non-autonomous factors. Here we report the results of a genome-wide integrated strategy to identify novel metastasis susceptibility candidate genes and molecular pathways in breast cancer metastasis. This analysis implicates a number of transcriptional regulators and suggests cell-mediated immunity is an important determinant. Moreover, the analysis identified novel or FDA-approved drugs as potentially useful for anti-metastatic therapy. Further explorations implementing this strategy may therefore provide a variety of information for clinical applications in the control and treatment of advanced neoplastic disease.

  9. Genome-wide de Novo Prediction of Proximal and Distal Tissue-Specific Enhancers

    Energy Technology Data Exchange (ETDEWEB)

    Loots, G G; Ovcharenko, I V

    2005-11-03

    Determining how transcriptional regulatory networks are encoded in the human genome is essential for understanding how cellular processes are directed. Here, we present a novel approach for systematically predicting tissue specific regulatory elements (REs) that blends genome-wide expression profiling, vertebrate genome comparisons, and pattern analysis of transcription factor binding sites. This analysis yields 4,670 candidate REs in the human genome with distinct tissue specificities, the majority of which reside far away from transcription start sites. We identify key transcription factors (TFs) for 34 distinct tissues and demonstrate that tissue-specific gene expression relies on multiple regulatory pathways employing similar, but different cohorts of interacting TFs. The methods and results we describe provide a global view of tissue specific gene regulation in humans, and propose a strategy for deciphering the transcriptional regulatory code in eukaryotes.

  10. The genome-wide DNA sequence specificity of the anti-tumour drug bleomycin in human cells.

    Science.gov (United States)

    Murray, Vincent; Chen, Jon K; Tanaka, Mark M

    2016-07-01

    The cancer chemotherapeutic agent, bleomycin, cleaves DNA at specific sites. For the first time, the genome-wide DNA sequence specificity of bleomycin breakage was determined in human cells. Utilising Illumina next-generation DNA sequencing techniques, over 200 million bleomycin cleavage sites were examined to elucidate the bleomycin genome-wide DNA selectivity. The genome-wide bleomycin cleavage data were analysed by four different methods to determine the cellular DNA sequence specificity of bleomycin strand breakage. For the most highly cleaved DNA sequences, the preferred site of bleomycin breakage was at 5'-GT* dinucleotide sequences (where the asterisk indicates the bleomycin cleavage site), with lesser cleavage at 5'-GC* dinucleotides. This investigation also determined longer bleomycin cleavage sequences, with preferred cleavage at 5'-GT*A and 5'- TGT* trinucleotide sequences, and 5'-TGT*A tetranucleotides. For cellular DNA, the hexanucleotide DNA sequence 5'-RTGT*AY (where R is a purine and Y is a pyrimidine) was the most highly cleaved DNA sequence. It was striking that alternating purine-pyrimidine sequences were highly cleaved by bleomycin. The highest intensity cleavage sites in cellular and purified DNA were very similar although there were some minor differences. Statistical nucleotide frequency analysis indicated a G nucleotide was present at the -3 position (relative to the cleavage site) in cellular DNA but was absent in purified DNA.

  11. VIGoR: Variational Bayesian Inference for Genome-Wide Regression

    Directory of Open Access Journals (Sweden)

    Akio Onogi

    2016-04-01

    Full Text Available Genome-wide regression using a number of genome-wide markers as predictors is now widely used for genome-wide association mapping and genomic prediction. We developed novel software for genome-wide regression which we named VIGoR (variational Bayesian inference for genome-wide regression. Variational Bayesian inference is computationally much faster than widely used Markov chain Monte Carlo algorithms. VIGoR implements seven regression methods, and is provided as a command line program package for Linux/Mac, and as a cross-platform R package. In addition to model fitting, cross-validation and hyperparameter tuning using cross-validation can be automatically performed by modifying a single argument. VIGoR is available at https://github.com/Onogi/VIGoR. The R package is also available at https://cran.r-project.org/web/packages/VIGoR/index.html.

  12. More heritability probably captured by psoriasis genome-wide association study in Han Chinese.

    Science.gov (United States)

    Jiang, Long; Liu, Lu; Cheng, Yuyan; Lin, Yan; Shen, Changbing; Zhu, Caihong; Yang, Sen; Yin, Xianyong; Zhang, Xuejun

    2015-11-15

    Missing heritability is a common problem in genome-wide association studies in complex diseases/traits. To quantify the unbiased heritability estimate, we applied the phenotype correlation-genotype correlation regression in psoriasis genome-wide association data in Han Chinese which comprises 1139 cases and 1132 controls. We estimated that 45.7% heritability of psoriasis in Han Chinese were captured by common variants (s.e.=12.5%), which reinforced that the majority of psoriasis heritability can be covered by common variants in genome-wide association data (68.2%). The results provided evidence that the heritability covered by psoriasis genome-wide genotyping data was probably underestimated in previous restricted maximum likelihood method. Our study highlights the broad role of common variants in the etiology of psoriasis and sheds light on the possibility to identify more common variants of small effect by increasing the sample size in psoriasis genome-wide association studies.

  13. Integrated, genome-wide screening for hypomethylated oncogenes in salivary gland adenoid cystic carcinoma

    Science.gov (United States)

    Shao, Chunbo; Sun, Wenyue; Tan, Marietta; Glazer, Chad A.; Bhan, Sheetal; Zhong, Xiaoli; Fakhry, Carole; Sharma, Rajni; Westra, William H.; Hoque, Mohammad O.; Moskaluk, Christopher A.; Sidransky, David; Califano, Joseph A.; Ha, Patrick K.

    2011-01-01

    Purpose Salivary gland adenoid cystic carcinoma (ACC) is a rare malignancy that is poorly understood. In order to look for relevant oncogene candidates under the control of promoter methylation, an integrated, genome-wide screen was performed. Experimental Design Global demethylation of normal salivary gland cell strains using 5-aza-2′-deoxycytidine (5-Aza dC) and Trichostatin A (TSA), followed by expression array analysis was performed. ACC-specific expression profiling was generated using expression microarray analysis of primary ACC and normal samples. Next, the two profiles were integrated to identify a subset of genes for further validation of promoter demethylation in ACC versus normal. Finally, promising candidates were further validated for mRNA, protein, and promoter methylation levels in larger ACC cohorts. Functional validation was then performed in cancer cell lines. Results We found 159 genes that were significantly re-expressed after 5-Aza dC/TSA treatment and overexpressed in ACC. After initial validation, eight candidates showed hypomethylation in ACC: AQP1, CECR1, C1QR1, CTAG2, P53AIP1, TDRD12, BEX1, and DYNLT3. Aquaporin 1 (AQP1) showed the most significant hypomethylation and was further validated. AQP1 hypomethylation in ACC was confirmed with two independent cohorts. Of note, there was significant overexpression of AQP1 in both mRNA and protein in the paraffin-embedded ACC cohort. Furthermore, AQP1 was up-regulated in 5-Aza dC/TSA treated SACC83. Lastly, AQP1 promoted cell proliferation and colony formation in SACC83. Conclusions Our integrated, genome-wide screening method proved to be an effective strategy for detecting novel oncogenes in ACC. AQP1 is a promising oncogene candidate for ACC and is transcriptionally regulated by promoter hypomethylation. PMID:21551254

  14. Dry and wet approaches for genome-wide functional annotation of conventional and unconventional transcriptional activators

    Directory of Open Access Journals (Sweden)

    Elisabetta Levati

    2016-01-01

    Full Text Available Transcription factors (TFs are master gene products that regulate gene expression in response to a variety of stimuli. They interact with DNA in a sequence-specific manner using a variety of DNA-binding domain (DBD modules. This allows to properly position their second domain, called “effector domain”, to directly or indirectly recruit positively or negatively acting co-regulators including chromatin modifiers, thus modulating preinitiation complex formation as well as transcription elongation. At variance with the DBDs, which are comprised of well-defined and easily recognizable DNA binding motifs, effector domains are usually much less conserved and thus considerably more difficult to predict. Also not so easy to identify are the DNA-binding sites of TFs, especially on a genome-wide basis and in the case of overlapping binding regions. Another emerging issue, with many potential regulatory implications, is that of so-called “moonlighting” transcription factors, i.e., proteins with an annotated function unrelated to transcription and lacking any recognizable DBD or effector domain, that play a role in gene regulation as their second job. Starting from bioinformatic and experimental high-throughput tools for an unbiased, genome-wide identification and functional characterization of TFs (especially transcriptional activators, we describe both established (and usually well affordable as well as newly developed platforms for DNA-binding site identification. Selected combinations of these search tools, some of which rely on next-generation sequencing approaches, allow delineating the entire repertoire of TFs and unconventional regulators encoded by the any sequenced genome.

  15. Genome-wide association studies of the PR interval in African Americans.

    Directory of Open Access Journals (Sweden)

    J Gustav Smith

    Full Text Available The PR interval on the electrocardiogram reflects atrial and atrioventricular nodal conduction time. The PR interval is heritable, provides important information about arrhythmia risk, and has been suggested to differ among human races. Genome-wide association (GWA studies have identified common genetic determinants of the PR interval in individuals of European and Asian ancestry, but there is a general paucity of GWA studies in individuals of African ancestry. We performed GWA studies in African American individuals from four cohorts (n = 6,247 to identify genetic variants associated with PR interval duration. Genotyping was performed using the Affymetrix 6.0 microarray. Imputation was performed for 2.8 million single nucleotide polymorphisms (SNPs using combined YRI and CEU HapMap phase II panels. We observed a strong signal (rs3922844 within the gene encoding the cardiac sodium channel (SCN5A with genome-wide significant association (p<2.5 x 10⁻⁸ in two of the four cohorts and in the meta-analysis. The signal explained 2% of PR interval variability in African Americans (beta  = 5.1 msec per minor allele, 95% CI  = 4.1-6.1, p = 3 x 10⁻²³. This SNP was also associated with PR interval (beta = 2.4 msec per minor allele, 95% CI = 1.8-3.0, p = 3 x 10⁻¹⁶ in individuals of European ancestry (n = 14,042, but with a smaller effect size (p for heterogeneity <0.001 and variability explained (0.5%. Further meta-analysis of the four cohorts identified genome-wide significant associations with SNPs in SCN10A (rs6798015, MEIS1 (rs10865355, and TBX5 (rs7312625 that were highly correlated with SNPs identified in European and Asian GWA studies. African ancestry was associated with increased PR duration (13.3 msec, p = 0.009 in one but not the other three cohorts. Our findings demonstrate the relevance of common variants to African Americans at four loci previously associated with PR interval in European and

  16. Genome wide association mapping for grain shape traits in indica rice.

    Science.gov (United States)

    Feng, Yue; Lu, Qing; Zhai, Rongrong; Zhang, Mengchen; Xu, Qun; Yang, Yaolong; Wang, Shan; Yuan, Xiaoping; Yu, Hanyong; Wang, Yiping; Wei, Xinghua

    2016-10-01

    Using genome-wide association mapping, 47 SNPs within 27 significant loci were identified for four grain shape traits, and 424 candidate genes were predicted from public database. Grain shape is a key determinant of grain yield and quality in rice (Oryza sativa L.). However, our knowledge of genes controlling rice grain shape remains limited. Genome-wide association mapping based on linkage disequilibrium (LD) has recently emerged as an effective approach for identifying genes or quantitative trait loci (QTL) underlying complex traits in plants. In this study, association mapping based on 5291 single nucleotide polymorphisms (SNPs) was conducted to identify significant loci associated with grain shape traits in a global collection of 469 diverse rice accessions. A total of 47 SNPs were located in 27 significant loci for four grain traits, and explained ~44.93-65.90 % of the phenotypic variation for each trait. In total, 424 candidate genes within a 200 kb extension region (±100 kb of each locus) of these loci were predicted. Of them, the cloned genes GS3 and qSW5 showed very strong effects on grain length and grain width in our study. Comparing with previously reported QTLs for grain shape traits, we found 11 novel loci, including 3, 3, 2 and 3 loci for grain length, grain width, grain length-width ratio and thousand grain weight, respectively. Validation of these new loci would be performed in the future studies. These results revealed that besides GS3 and qSW5, multiple novel loci and mechanisms were involved in determining rice grain shape. These findings provided valuable information for understanding of the genetic control of grain shape and molecular marker assistant selection (MAS) breeding in rice.

  17. Evaluating genome-wide DNA methylation changes in mice by Methylation Specific Digital Karyotyping

    Directory of Open Access Journals (Sweden)

    Maruoka Shuichiro

    2008-12-01

    Full Text Available Abstract Background The study of genome-wide DNA methylation changes has become more accessible with the development of various array-based technologies though when studying species other than human the choice of applications are limited and not always within reach. In this study, we adapted and tested the applicability of Methylation Specific Digital Karyotyping (MSDK, a non-array based method, for the prospective analysis of epigenetic changes after perinatal nutritional modifications in a mouse model of allergic airway disease. MSDK is a sequenced based method that allows a comprehensive and unbiased methylation profiling. The method generates 21 base pairs long sequence tags derived from specific locations in the genome. The resulting tag frequencies determine in a quantitative manner the methylation level of the corresponding loci. Results Genomic DNA from whole lung was isolated and subjected to MSDK analysis using the methylation-sensitive enzyme Not I as the mapping enzyme and Nla III as the fragmenting enzyme. In a pair wise comparison of the generated mouse MSDK libraries we identified 158 loci that are significantly differentially methylated (P-value = 0.05 after perinatal dietary changes in our mouse model. Quantitative methylation specific PCR and sequence analysis of bisulfate modified genomic DNA confirmed changes in methylation at specific loci. Differences in genomic MSDK tag counts for a selected set of genes, correlated well with changes in transcription levels as measured by real-time PCR. Furthermore serial analysis of gene expression profiling demonstrated a dramatic difference in expressed transcripts in mice exposed to perinatal nutritional changes. Conclusion The genome-wide methylation survey applied in this study allowed for an unbiased methylation profiling revealing subtle changes in DNA methylation in mice maternally exposed to dietary changes in methyl-donor content. The MSDK method is applicable for mouse models

  18. Evaluation of genome-wide power of genetic association studies based on empirical data from the HapMap project.

    Science.gov (United States)

    Nannya, Yasuhito; Taura, Kenjiro; Kurokawa, Mineo; Chiba, Shigeru; Ogawa, Seishi

    2007-10-15

    With recent advances in high-throughput single nucleotide polymorphism (SNP) typing technologies, genome-wide association studies have become a realistic approach to identify the causative genes that are responsible for common diseases of complex genetic traits. In this strategy, a trade-off between the increased genome coverage and a chance of finding SNPs incidentally showing a large statistics becomes serious due to extreme multiple-hypothesis testing. We investigated the extent to which this trade-off limits the genome-wide power with this approach by simulating a large number of case-control panels based on the empirical data from the HapMap Project. In our simulations, statistical costs of multiple hypothesis testing were evaluated by empirically calculating distributions of the maximum value of the chi(2) statistics for a series of marker sets having increasing numbers of SNPs, which were used to determine a genome-wide threshold in the following power simulations. With a practical study size, the cost of multiple testing largely offsets the potential benefits from increased genome coverage given modest genetic effects and/or low frequencies of causal alleles. In most realistic scenarios, increasing genome coverage becomes less influential on the power, while sample size is the predominant determinant of the feasibility of genome-wide association tests. Increasing genome coverage without corresponding increase in sample size will only consume resources without little gain in power. For common causal alleles with relatively large effect sizes [genotype relative risk > or =1.7], we can expect satisfactory power with currently available large-scale genotyping platforms using realistic sample size ( approximately 1000 per arm).

  19. Genome-Wide Association Mapping for Intelligence in Military Working Dogs: Canine Cohort, Canine Intelligence Assessment Regimen, Genome-Wide Single Nucleotide Polymorphism (SNP) Typing, and Unsupervised Classification Algorithm for Genome-Wide Association Data Analysis

    Science.gov (United States)

    2011-09-01

    Almasy, L, Blangero, J. (2009) Human QTL linkage mapping. Genetica 136:333-340. Amos, CI. (2007) Successful design and conduct of genome-wide...quantitative trait loci. Genetica 136:237-243. Skol AD, Scott LJ, Abecasis GR, Boehnke M. (2006) Joint analysis is more efficient than replication

  20. Genome-wide Association Study of Postburn Scarring Identifies a Novel Protective Variant.

    Science.gov (United States)

    Sood, Ravi F; Hocking, Anne M; Muffley, Lara A; Ga, Maricar; Honari, Shari; Reiner, Alexander P; Gibran, Nicole S

    2015-10-01

    To identify genetic variants associated with the severity of postburn hypertrophic scarring (HTS) using a genome-wide approach. Risk of severe postburn HTS is known to depend on race, but the genetic determinants of HTS are unknown. We conducted a genome-wide association study (GWAS) in a prospective cohort of adults admitted with deep-partial-thickness burns from 2007 through 2014. Scar severity was assessed over time using the Vancouver Scar Scale (VSS), and DNA was genotyped with a >500,000-marker array. We performed association testing of single-nucleotide polymorphisms (SNPs) with minor allele frequency (MAF) >0.01 using linear regression of VSS height score on genotype adjusted for patient and injury characteristics as well as population genetic structure. Array-wide significance was based on Bonferroni correction for multiple testing. Of 538 patients (median age 40 years, median burn size 6.0% of body surface area), 71% were men and 76% were White. The mean VSS height score was 1.2 (range: 0-3). Of 289,639 SNPs tested, a variant in the CUB and Sushi multiple domains 1 (CSMD1) gene (rs11136645; MAF = 0.49), was significantly associated with decreased scar height (regression coefficient = -0.23, P = 7.9 × 10). In the first published GWAS of HTS, we report that a common intronic variant in the CSMD1 gene is associated with reduced severity of postburn HTS. If this association is confirmed in an independent cohort, investigating the potential role of CSMD1 in wound healing may elucidate HTS pathophysiology.

  1. Genome-wide association study identifies shared risk loci common to two malignancies in golden retrievers.

    Directory of Open Access Journals (Sweden)

    Noriko Tonomura

    2015-02-01

    Full Text Available Dogs, with their breed-determined limited genetic background, are great models of human disease including cancer. Canine B-cell lymphoma and hemangiosarcoma are both malignancies of the hematologic system that are clinically and histologically similar to human B-cell non-Hodgkin lymphoma and angiosarcoma, respectively. Golden retrievers in the US show significantly elevated lifetime risk for both B-cell lymphoma (6% and hemangiosarcoma (20%. We conducted genome-wide association studies for hemangiosarcoma and B-cell lymphoma, identifying two shared predisposing loci. The two associated loci are located on chromosome 5, and together contribute ~20% of the risk of developing these cancers. Genome-wide p-values for the top SNP of each locus are 4.6×10-7 and 2.7×10-6, respectively. Whole genome resequencing of nine cases and controls followed by genotyping and detailed analysis identified three shared and one B-cell lymphoma specific risk haplotypes within the two loci, but no coding changes were associated with the risk haplotypes. Gene expression analysis of B-cell lymphoma tumors revealed that carrying the risk haplotypes at the first locus is associated with down-regulation of several nearby genes including the proximal gene TRPC6, a transient receptor Ca2+-channel involved in T-cell activation, among other functions. The shared risk haplotype in the second locus overlaps the vesicle transport and release gene STX8. Carrying the shared risk haplotype is associated with gene expression changes of 100 genes enriched for pathways involved in immune cell activation. Thus, the predisposing germ-line mutations in B-cell lymphoma and hemangiosarcoma appear to be regulatory, and affect pathways involved in T-cell mediated immune response in the tumor. This suggests that the interaction between the immune system and malignant cells plays a common role in the tumorigenesis of these relatively different cancers.

  2. Genome-wide association analyses identify SPOCK as a key novel gene underlying age at menarche.

    Directory of Open Access Journals (Sweden)

    Yao-Zhong Liu

    2009-03-01

    Full Text Available For females, menarche is a most significant physiological event. Age at menarche (AAM is a trait with high genetic determination and is associated with major complex diseases in women. However, specific genes for AAM variation are largely unknown. To identify genetic factors underlying AAM variation, a genome-wide association study (GWAS examining about 380,000 SNPs was conducted in 477 Caucasian women. A follow-up replication study was performed to validate our major GWAS findings using two independent Caucasian cohorts with 854 siblings and 762 unrelated subjects, respectively, and one Chinese cohort of 1,387 unrelated subjects--all females. Our GWAS identified a novel gene, SPOCK (Sparc/Osteonectin, CWCV, and Kazal-like domains proteoglycan, which had seven SNPs associated with AAM with genome-wide false discovery rate (FDR q<0.05. Six most significant SNPs of the gene were selected for validation in three independent replication cohorts. All of the six SNPs were replicated in at least one cohort. In particular, SNPs rs13357391 and rs1859345 were replicated both within and across different ethnic groups in all three cohorts, with p values of 5.09 x 10(-3 and 4.37 x 10(-3, respectively, in the Chinese cohort and combined p values (obtained by Fisher's method of 5.19 x 10(-5 and 1.02 x 10(-4, respectively, in all three replication cohorts. Interestingly, SPOCK can inhibit activation of MMP-2 (matrix metalloproteinase-2, a key factor promoting endometrial menstrual breakdown and onset of menstrual bleeding. Our findings, together with the functional relevance, strongly supported that the SPOCK gene underlies variation of AAM.

  3. Genome-wide association study of retinopathy in individuals without diabetes.

    Directory of Open Access Journals (Sweden)

    Richard A Jensen

    Full Text Available BACKGROUND: Mild retinopathy (microaneurysms or dot-blot hemorrhages is observed in persons without diabetes or hypertension and may reflect microvascular disease in other organs. We conducted a genome-wide association study (GWAS of mild retinopathy in persons without diabetes. METHODS: A working group agreed on phenotype harmonization, covariate selection and analytic plans for within-cohort GWAS. An inverse-variance weighted fixed effects meta-analysis was performed with GWAS results from six cohorts of 19,411 Caucasians. The primary analysis included individuals without diabetes and secondary analyses were stratified by hypertension status. We also singled out the results from single nucleotide polymorphisms (SNPs previously shown to be associated with diabetes and hypertension, the two most common causes of retinopathy. RESULTS: No SNPs reached genome-wide significance in the primary analysis or the secondary analysis of participants with hypertension. SNP, rs12155400, in the histone deacetylase 9 gene (HDAC9 on chromosome 7, was associated with retinopathy in analysis of participants without hypertension, -1.3±0.23 (beta ± standard error, p = 6.6×10(-9. Evidence suggests this was a false positive finding. The minor allele frequency was low (∼2%, the quality of the imputation was moderate (r(2 ∼0.7, and no other common variants in the HDAC9 gene were associated with the outcome. SNPs found to be associated with diabetes and hypertension in other GWAS were not associated with retinopathy in persons without diabetes or in subgroups with or without hypertension. CONCLUSIONS: This GWAS of retinopathy in individuals without diabetes showed little evidence of genetic associations. Further studies are needed to identify genes associated with these signs in order to help unravel novel pathways and determinants of microvascular diseases.

  4. Acute genome-wide effects of rosiglitazone on PPARγ transcriptional networks in adipocytes.

    Science.gov (United States)

    Haakonsson, Anders Kristian; Stahl Madsen, Maria; Nielsen, Ronni; Sandelin, Albin; Mandrup, Susanne

    2013-09-01

    Peroxisome proliferator-activated receptor γ (PPARγ) is a master regulator of adipocyte differentiation, and genome-wide studies indicate that it is involved in the induction of most adipocyte genes. Here we report, for the first time, the acute effects of the synthetic PPARγ agonist rosiglitazone on the transcriptional network of PPARγ in adipocytes. Treatment with rosiglitazone for 1 hour leads to acute transcriptional activation as well as repression of a number of genes as determined by genome-wide RNA polymerase II occupancy. Unlike what has been shown for many other nuclear receptors, agonist treatment does not lead to major changes in the occurrence of PPARγ binding sites. However, rosiglitazone promotes PPARγ occupancy at many preexisting sites, and this is paralleled by increased occupancy of the mediator subunit MED1. The increase in PPARγ and MED1 binding is correlated with an increase in transcription of nearby genes, indicating that rosiglitazone, in addition to activating the receptor, also promotes its association with DNA, and that this is causally linked to recruitment of mediator and activation of genes. Notably, both rosiglitazone-activated and -repressed genes are induced during adipogenesis. However, rosiglitazone-activated genes are markedly more associated with PPARγ than repressed genes and are highly dependent on PPARγ for expression in adipocytes. By contrast, repressed genes are associated with the other key adipocyte transcription factor CCAAT-enhancer binding proteinα (C/EBPα), and their expression is more dependent on C/EBPα. This suggests that the relative occupancies of PPARγ and C/EBPα are critical for whether genes will be induced or repressed by PPARγ agonist.

  5. Genome-wide association study of Lp-PLA(2 activity and mass in the Framingham Heart Study.

    Directory of Open Access Journals (Sweden)

    Sunil Suchindran

    2010-04-01

    Full Text Available Lipoprotein-associated phospholipase A(2 (Lp-PLA(2 is an emerging risk factor and therapeutic target for cardiovascular disease. The activity and mass of this enzyme are heritable traits, but major genetic determinants have not been explored in a systematic, genome-wide fashion. We carried out a genome-wide association study of Lp-PLA(2 activity and mass in 6,668 Caucasian subjects from the population-based Framingham Heart Study. Clinical data and genotypes from the Affymetrix 550K SNP array were obtained from the open-access Framingham SHARe project. Each polymorphism that passed quality control was tested for associations with Lp-PLA(2 activity and mass using linear mixed models implemented in the R statistical package, accounting for familial correlations, and controlling for age, sex, smoking, lipid-lowering-medication use, and cohort. For Lp-PLA(2 activity, polymorphisms at four independent loci reached genome-wide significance, including the APOE/APOC1 region on chromosome 19 (p = 6 x 10(-24; CELSR2/PSRC1 on chromosome 1 (p = 3 x 10(-15; SCARB1 on chromosome 12 (p = 1x10(-8 and ZNF259/BUD13 in the APOA5/APOA1 gene region on chromosome 11 (p = 4 x 10(-8. All of these remained significant after accounting for associations with LDL cholesterol, HDL cholesterol, or triglycerides. For Lp-PLA(2 mass, 12 SNPs achieved genome-wide significance, all clustering in a region on chromosome 6p12.3 near the PLA2G7 gene. Our analyses demonstrate that genetic polymorphisms may contribute to inter-individual variation in Lp-PLA(2 activity and mass.

  6. Genome-Wide Association Study of Lp-PLA2 Activity and Mass in the Framingham Heart Study

    Science.gov (United States)

    Suchindran, Sunil; Rivedal, David; Guyton, John R.; Milledge, Tom; Gao, Xiaoyi; Benjamin, Ashlee; Rowell, Jennifer; Ginsburg, Geoffrey S.; McCarthy, Jeanette J.

    2010-01-01

    Lipoprotein-associated phospholipase A2 (Lp-PLA2) is an emerging risk factor and therapeutic target for cardiovascular disease. The activity and mass of this enzyme are heritable traits, but major genetic determinants have not been explored in a systematic, genome-wide fashion. We carried out a genome-wide association study of Lp-PLA2 activity and mass in 6,668 Caucasian subjects from the population-based Framingham Heart Study. Clinical data and genotypes from the Affymetrix 550K SNP array were obtained from the open-access Framingham SHARe project. Each polymorphism that passed quality control was tested for associations with Lp-PLA2 activity and mass using linear mixed models implemented in the R statistical package, accounting for familial correlations, and controlling for age, sex, smoking, lipid-lowering-medication use, and cohort. For Lp-PLA2 activity, polymorphisms at four independent loci reached genome-wide significance, including the APOE/APOC1 region on chromosome 19 (p = 6×10−24); CELSR2/PSRC1 on chromosome 1 (p = 3×10−15); SCARB1 on chromosome 12 (p = 1×10−8) and ZNF259/BUD13 in the APOA5/APOA1 gene region on chromosome 11 (p = 4×10−8). All of these remained significant after accounting for associations with LDL cholesterol, HDL cholesterol, or triglycerides. For Lp-PLA2 mass, 12 SNPs achieved genome-wide significance, all clustering in a region on chromosome 6p12.3 near the PLA2G7 gene. Our analyses demonstrate that genetic polymorphisms may contribute to inter-individual variation in Lp-PLA2 activity and mass. PMID:20442857

  7. The challenges of genome-wide interaction studies: lessons to learn from the analysis of HDL blood levels.

    Science.gov (United States)

    van Leeuwen, Elisabeth M; Smouter, Françoise A S; Kam-Thong, Tony; Karbalai, Nazanin; Smith, Albert V; Harris, Tamara B; Launer, Lenore J; Sitlani, Colleen M; Li, Guo; Brody, Jennifer A; Bis, Joshua C; White, Charles C; Jaiswal, Alok; Oostra, Ben A; Hofman, Albert; Rivadeneira, Fernando; Uitterlinden, Andre G; Boerwinkle, Eric; Ballantyne, Christie M; Gudnason, Vilmundur; Psaty, Bruce M; Cupples, L Adrienne; Järvelin, Marjo-Riitta; Ripatti, Samuli; Isaacs, Aaron; Müller-Myhsok, Bertram; Karssen, Lennart C; van Duijn, Cornelia M

    2014-01-01

    Genome-wide association studies (GWAS) have revealed 74 single nucleotide polymorphisms (SNPs) associated with high-density lipoprotein cholesterol (HDL) blood levels. This study is, to our knowledge, the first genome-wide interaction study (GWIS) to identify SNP×SNP interactions associated with HDL levels. We performed a GWIS in the Rotterdam Study (RS) cohort I (RS-I) using the GLIDE tool which leverages the massively parallel computing power of Graphics Processing Units (GPUs) to perform linear regression on all genome-wide pairs of SNPs. By performing a meta-analysis together with Rotterdam Study cohorts II and III (RS-II and RS-III), we were able to filter 181 interaction terms with a p-valueSPATA8 (ENSG00000185594) being associated with HDL levels. However, p-values do not reach the preset Bonferroni correction of the p-values. Our study suggest that even for highly genetically determined traits such as HDL the sample sizes needed to detect SNP×SNP interactions are large and the 2-step filtering approaches do not yield a solution. Here we present our analysis plan and our reservations concerning GWIS.

  8. Genome-wide association study identifies candidate loci underlying seven agronomic traits in Middle American diversity panel in common bean (Phaseolus vulgaris L.)

    Science.gov (United States)

    Common bean (Phaseolus vulgaris L.) breeding programs aim to improve both agronomic and seed characteristics traits. However, the genetic architecture of the many traits that affect common bean production are not completely understood. Genome-wide associate studies (GWAS) provide an experimental ap...

  9. Genome-wide screens for expressed hypothetical proteins

    DEFF Research Database (Denmark)

    Madsen, Claus Desler; Durhuus, Jon Ambæk; Rasmussen, Lene Juel

    2012-01-01

    A hypothetical protein (HP) is defined as a protein that is predicted to be expressed from an open reading frame, but for which there is no experimental evidence of translation. HPs constitute a substantial fraction of proteomes of human as well as of other organisms. With the general belief...

  10. A genome-wide longitudinal transcriptome analysis of the aging model Podospora anserina.

    Directory of Open Access Journals (Sweden)

    Oliver Philipp

    Full Text Available Aging of biological systems is controlled by various processes which have a potential impact on gene expression. Here we report a genome-wide transcriptome analysis of the fungal aging model Podospora anserina. Total RNA of three individuals of defined age were pooled and analyzed by SuperSAGE (serial analysis of gene expression. A bioinformatics analysis identified different molecular pathways to be affected during aging. While the abundance of transcripts linked to ribosomes and to the proteasome quality control system were found to decrease during aging, those associated with autophagy increase, suggesting that autophagy may act as a compensatory quality control pathway. Transcript profiles associated with the energy metabolism including mitochondrial functions were identified to fluctuate during aging. Comparison of wild-type transcripts, which are continuously down-regulated during aging, with those down-regulated in the long-lived, copper-uptake mutant grisea, validated the relevance of age-related changes in cellular copper metabolism. Overall, we (i present a unique age-related data set of a longitudinal study of the experimental aging model P. anserina which represents a reference resource for future investigations in a variety of organisms, (ii suggest autophagy to be a key quality control pathway that becomes active once other pathways fail, and (iii present testable predictions for subsequent experimental investigations.

  11. Simultaneous genome-wide inference of physical, genetic, regulatory, and functional pathway components.

    Directory of Open Access Journals (Sweden)

    Christopher Y Park

    Full Text Available Biomolecular pathways are built from diverse types of pairwise interactions, ranging from physical protein-protein interactions and modifications to indirect regulatory relationships. One goal of systems biology is to bridge three aspects of this complexity: the growing body of high-throughput data assaying these interactions; the specific interactions in which individual genes participate; and the genome-wide patterns of interactions in a system of interest. Here, we describe methodology for simultaneously predicting specific types of biomolecular interactions using high-throughput genomic data. This results in a comprehensive compendium of whole-genome networks for yeast, derived from ∼3,500 experimental conditions and describing 30 interaction types, which range from general (e.g. physical or regulatory to specific (e.g. phosphorylation or transcriptional regulation. We used these networks to investigate molecular pathways in carbon metabolism and cellular transport, proposing a novel connection between glycogen breakdown and glucose utilization supported by recent publications. Additionally, 14 specific predicted interactions in DNA topological change and protein biosynthesis were experimentally validated. We analyzed the systems-level network features within all interactomes, verifying the presence of small-world properties and enrichment for recurring network motifs. This compendium of physical, synthetic, regulatory, and functional interaction networks has been made publicly available through an interactive web interface for investigators to utilize in future research at http://function.princeton.edu/bioweaver/.

  12. Genome-Wide Prediction of DNA Methylation Using DNA Composition and Sequence Complexity in Human

    Science.gov (United States)

    Wu, Chengchao; Yao, Shixin; Li, Xinghao; Chen, Chujia; Hu, Xuehai

    2017-01-01

    DNA methylation plays a significant role in transcriptional regulation by repressing activity. Change of the DNA methylation level is an important factor affecting the expression of target genes and downstream phenotypes. Because current experimental technologies can only assay a small proportion of CpG sites in the human genome, it is urgent to develop reliable computational models for predicting genome-wide DNA methylation. Here, we proposed a novel algorithm that accurately extracted sequence complexity features (seven features) and developed a support-vector-machine-based prediction model with integration of the reported DNA composition features (trinucleotide frequency and GC content, 65 features) by utilizing the methylation profiles of embryonic stem cells in human. The prediction results from 22 human chromosomes with size-varied windows showed that the 600-bp window achieved the best average accuracy of 94.7%. Moreover, comparisons with two existing methods further showed the superiority of our model, and cross-species predictions on mouse data also demonstrated that our model has certain generalization ability. Finally, a statistical test of the experimental data and the predicted data on functional regions annotated by ChromHMM found that six out of 10 regions were consistent, which implies reliable prediction of unassayed CpG sites. Accordingly, we believe that our novel model will be useful and reliable in predicting DNA methylation. PMID:28212312

  13. Genome-wide association studies of female reproduction in tropically adapted beef cattle

    National Research Council Canada - National Science Library

    Hawken, R J; Zhang, Y D; Fortes, M R S; Collis, E; Barris, W C; Corbet, N J; Williams, P J; Fordyce, G; Holroyd, R G; Walkley, J R W; Barendse, W; Johnston, D J; Prayaga, K C; Tier, B; Reverter, A; Lehnert, S A

    2012-01-01

    .... To elucidate the genetics underlying reproduction in beef cattle, we performed a genome-wide association study using the bovine SNP50 chip in 2 tropically adapted beef cattle breeds, Brahman and Tropical Composite...

  14. Genome-wide association study of smoking initiation and current smoking

    DEFF Research Database (Denmark)

    Vink, Jacqueline M; Smit, August B; de Geus, Eco J C;

    2009-01-01

    For the identification of genes associated with smoking initiation and current smoking, genome-wide association analyses were carried out in 3497 subjects. Significant genes that replicated in three independent samples (n = 405, 5810, and 1648) were visualized into a biologically meaningful network......) and cell-adhesion molecules (e.g., CDH23). We conclude that a network-based genome-wide association approach can identify genes influencing smoking behavior....

  15. Genome-wide association study meta-analysis identifies seven new rheumatoid arthritis risk loci

    OpenAIRE

    Stahl, Eli A; Raychaudhuri, Soumya; Remmers, Elaine F.; Xie, Gang; Eyre, Stephen; Thomson, Brian P.; Li, Yonghong; Kurreeman, Fina A. S.; Zhernakova, Alexandra; Hinks, Anne; Guiducci, Candace; Chen, Robert; Alfredsson, Lars; Amos, Christopher I.; Ardlie, Kristin G.

    2010-01-01

    To identify novel genetic risk factors for rheumatoid arthritis (RA), we conducted a genome-wide association study (GWAS) meta-analysis of 5,539 autoantibody positive RA cases and 20,169 controls of European descent, followed by replication in an independent set of 6,768 RA cases and 8,806 controls. Of 34 SNPs selected for replication, 7 novel RA risk alleles were identified at genome-wide significance (P

  16. A genome-wide 20 K citrus microarray for gene expression analysis

    OpenAIRE

    Martinez-Godoy, M Angeles; Mauri, Nuria; Juarez, Jose; Marques, M Carmen; Santiago, Julia; Forment, Javier; Gadea, Jose

    2008-01-01

    Background Understanding of genetic elements that contribute to key aspects of citrus biology will impact future improvements in this economically important crop. Global gene expression analysis demands microarray platforms with a high genome coverage. In the last years, genome-wide EST collections have been generated in citrus, opening the possibility to create new tools for functional genomics in this crop plant. Results We have designed and constructed a publicly available genome-wide cDNA...

  17. BioMet Toolbox: genome-wide analysis of metabolism

    OpenAIRE

    Cvijovic, M.; R. Olivares-Hernandez; Agren, R.; Dahr, N.; Vongsangnak, W.; Nookaew, I.; K. R. Patil; Nielsen, J.

    2010-01-01

    The rapid progress of molecular biology tools for directed genetic modifications, accurate quantitative experimental approaches, high-throughput measurements, together with development of genome sequencing has made the foundation for a new area of metabolic engineering that is driven by metabolic models. Systematic analysis of biological processes by means of modelling and simulations has made the identification of metabolic networks and prediction of metabolic capabilities under different co...

  18. Genome-wide association analysis of imputed rare variants: application to seven common complex diseases.

    Science.gov (United States)

    Mägi, Reedik; Asimit, Jennifer L; Day-Williams, Aaron G; Zeggini, Eleftheria; Morris, Andrew P

    2012-12-01

    Genome-wide association studies have been successful in identifying loci contributing effects to a range of complex human traits. The majority of reproducible associations within these loci are with common variants, each of modest effect, which together explain only a small proportion of heritability. It has been suggested that much of the unexplained genetic component of complex traits can thus be attributed to rare variation. However, genome-wide association study genotyping chips have been designed primarily to capture common variation, and thus are underpowered to detect the effects of rare variants. Nevertheless, we demonstrate here, by simulation, that imputation from an existing scaffold of genome-wide genotype data up to high-density reference panels has the potential to identify rare variant associations with complex traits, without the need for costly re-sequencing experiments. By application of this approach to genome-wide association studies of seven common complex diseases, imputed up to publicly available reference panels, we identify genome-wide significant evidence of rare variant association in PRDM10 with coronary artery disease and multiple genes in the major histocompatibility complex (MHC) with type 1 diabetes. The results of our analyses highlight that genome-wide association studies have the potential to offer an exciting opportunity for gene discovery through association with rare variants, conceivably leading to substantial advancements in our understanding of the genetic architecture underlying complex human traits.

  19. Genome-wide identification, classification and analysis of heat shock transcription factor family in maize

    Directory of Open Access Journals (Sweden)

    Zhu Su-Wen

    2011-01-01

    Full Text Available Abstract Background Heat shock response in eukaryotes is transcriptionally regulated by conserved heat shock transcription factors (Hsfs. Hsf genes are represented by a large multigene family in plants and investigation of the Hsf gene family will serve to elucidate the mechanisms by which plants respond to stress. In recent years, reports of genome-wide structural and evolutionary analysis of the entire Hsf gene family have been generated in two model plant systems, Arabidopsis and rice. Maize, an important cereal crop, has represented a model plant for genetics and evolutionary research. Although some Hsf genes have been characterized in maize, analysis of the entire Hsf gene family were not completed following Maize (B73 Genome Sequencing Project. Results A genome-wide analysis was carried out in the present study to identify all Hsfs maize genes. Due to the availability of complete maize genome sequences, 25 nonredundant Hsf genes, named ZmHsfs were identified. Chromosomal location, protein domain and motif organization of ZmHsfs were analyzed in maize genome. The phylogenetic relationships, gene duplications and expression profiles of ZmHsf genes were also presented in this study. Twenty-five ZmHsfs were classified into three major classes (class A, B, and C according to their structural characteristics and phylogenetic comparisons, and class A was further subdivided into 10 subclasses. Moreover, phylogenetic analysis indicated that the orthologs from the three species (maize, Arabidopsis and rice were distributed in all three classes, it also revealed diverse Hsf gene family expression patterns in classes and subclasses. Chromosomal/segmental duplications played a key role in Hsf gene family expansion in maize by investigation of gene duplication events. Furthermore, the transcripts of 25 ZmHsf genes were detected in the leaves by heat shock using quantitative real-time PCR. The result demonstrated that ZmHsf genes exhibit different

  20. Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis

    Directory of Open Access Journals (Sweden)

    Chen Jiun-Ching

    2007-05-01

    Full Text Available Abstract Background Genome-wide identification of specific oligonucleotides (oligos is a computationally-intensive task and is a requirement for designing microarray probes, primers, and siRNAs. An artificial neural network (ANN is a machine learning technique that can effectively process complex and high noise data. Here, ANNs are applied to process the unique subsequence distribution for prediction of specific oligos. Results We present a novel and efficient algorithm, named the integration of ANN and BLAST (IAB algorithm, to identify specific oligos. We establish the unique marker database for human and rat gene index databases using the hash table algorithm. We then create the input vectors, via the unique marker database, to train and test the ANN. The trained ANN predicted the specific oligos with high efficiency, and these oligos were subsequently verified by BLAST. To improve the prediction performance, the ANN over-fitting issue was avoided by early stopping with the best observed error and a k-fold validation was also applied. The performance of the IAB algorithm was about 5.2, 7.1, and 6.7 times faster than the BLAST search without ANN for experimental results of 70-mer, 50-mer, and 25-mer specific oligos, respectively. In addition, the results of polymerase chain reactions showed that the primers predicted by the IAB algorithm could specifically amplify the corresponding genes. The IAB algorithm has been integrated into a previously published comprehensive web server to support microarray analysis and genome-wide iterative enrichment analysis, through which users can identify a group of desired genes and then discover the specific oligos of these genes. Conclusion The IAB algorithm has been developed to construct SpecificDB, a web server that provides a specific and valid oligo database of the probe, siRNA, and primer design for the human genome. We also demonstrate the ability of the IAB algorithm to predict specific oligos through

  1. Random forests on Hadoop for genome-wide association studies of multivariate neuroimaging phenotypes.

    Science.gov (United States)

    Wang, Yue; Goh, Wilson; Wong, Limsoon; Montana, Giovanni

    2013-01-01

    Multivariate quantitative traits arise naturally in recent neuroimaging genetics studies, in which both structural and functional variability of the human brain is measured non-invasively through techniques such as magnetic resonance imaging (MRI). There is growing interest in detecting genetic variants associated with such multivariate traits, especially in genome-wide studies. Random forests (RFs) classifiers, which are ensembles of decision trees, are amongst the best performing machine learning algorithms and have been successfully employed for the prioritisation of genetic variants in case-control studies. RFs can also be applied to produce gene rankings in association studies with multivariate quantitative traits, and to estimate genetic similarities measures that are predictive of the trait. However, in studies involving hundreds of thousands of SNPs and high-dimensional traits, a very large ensemble of trees must be inferred from the data in order to obtain reliable rankings, which makes the application of these algorithms computationally prohibitive. We have developed a parallel version of the RF algorithm for regression and genetic similarity learning tasks in large-scale population genetic association studies involving multivariate traits, called PaRFR (Parallel Random Forest Regression). Our implementation takes advantage of the MapReduce programming model and is deployed on Hadoop, an open-source software framework that supports data-intensive distributed applications. Notable speed-ups are obtained by introducing a distance-based criterion for node splitting in the tree estimation process. PaRFR has been applied to a genome-wide association study on Alzheimer's disease (AD) in which the quantitative trait consists of a high-dimensional neuroimaging phenotype describing longitudinal changes in the human brain structure. PaRFR provides a ranking of SNPs associated to this trait, and produces pair-wise measures of genetic proximity that can be directly

  2. Genome-wide survey of allele-specific splicing in humans

    Directory of Open Access Journals (Sweden)

    Scheffler Konrad

    2008-06-01

    Full Text Available Abstract Background Accurate mRNA splicing depends on multiple regulatory signals encoded in the transcribed RNA sequence. Many examples of mutations within human splice regulatory regions that alter splicing qualitatively or quantitatively have been reported and allelic differences in mRNA splicing are likely to be a common and important source of phenotypic diversity at the molecular level, in addition to their contribution to genetic disease susceptibility. However, because the effect of a mutation on the efficiency of mRNA splicing is often difficult to predict, many mutations that cause disease through an effect on splicing are likely to remain undiscovered. Results We have combined a genome-wide scan for sequence polymorphisms likely to affect mRNA splicing with analysis of publicly available Expressed Sequence Tag (EST and exon array data. The genome-wide scan uses published tools and identified 30,977 SNPs located within donor and acceptor splice sites, branch points and exonic splicing enhancer elements. For 1,185 candidate splicing polymorphisms the difference in splicing between alternative alleles was corroborated by publicly available exon array data from 166 lymphoblastoid cell lines. We developed a novel probabilistic method to infer allele-specific splicing from EST data. The method uses SNPs and alternative mRNA isoforms mapped to EST sequences and models both regulated alternative splicing as well as allele-specific splicing. We have also estimated heritability of splicing and report that a greater proportion of genes show evidence of splicing heritability than show heritability of overall gene expression level. Our results provide an extensive resource that can be used to assess the possible effect on splicing of human polymorphisms in putative splice-regulatory sites. Conclusion We report a set of genes showing evidence of allele-specific splicing from an integrated analysis of genomic polymorphisms, EST data and exon array

  3. A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysis

    Directory of Open Access Journals (Sweden)

    Mezey Jason G

    2010-01-01

    Full Text Available Abstract Background The success achieved by genome-wide association (GWA studies in the identification of candidate loci for complex diseases has been accompanied by an inability to explain the bulk of heritability. Here, we describe the algorithm V-Bay, a variational Bayes algorithm for multiple locus GWA analysis, which is designed to identify weaker associations that may contribute to this missing heritability. Results V-Bay provides a novel solution to the computational scaling constraints of most multiple locus methods and can complete a simultaneous analysis of a million genetic markers in a few hours, when using a desktop. Using a range of simulated genetic and GWA experimental scenarios, we demonstrate that V-Bay is highly accurate, and reliably identifies associations that are too weak to be discovered by single-marker testing approaches. V-Bay can also outperform a multiple locus analysis method based on the lasso, which has similar scaling properties for large numbers of genetic markers. For demonstration purposes, we also use V-Bay to confirm associations with gene expression in cell lines derived from the Phase II individuals of HapMap. Conclusions V-Bay is a versatile, fast, and accurate multiple locus GWA analysis tool for the practitioner interested in identifying weaker associations without high false positive rates.

  4. Recent advances in the genome-wide study of DNA replication origins in yeast

    Directory of Open Access Journals (Sweden)

    Chong ePeng

    2015-02-01

    Full Text Available DNA replication, one of the central events in the cell cycle, is the basis of biological inheritance. In order to be duplicated, a DNA double helix must be opened at defined sites, which are called DNA replication origins (ORIs. Unlike in bacteria, where replication initiates from a single replication origin, multiple origins are utilized in the eukaryotic genome. Among them, the ORIs in budding yeast Saccharomyces cerevisiae and the fission yeast Schizosaccharomyces pombe have been best characterized. In recent years, advances in DNA microarray and next-generation sequencing technologies have increased the number of yeast species involved in ORIs research dramatically. The ORIs in some nonconventional yeast species such as Kluyveromyces lactis and Pichia pastoris have also been genome-widely identified. Relevant databases of replication origins in yeast were constructed, then the comparative genomic analysis can be carried out. Here, we review several experimental approaches that have been used to map replication origins in yeast and some of the available web resources related to yeast ORIs. We also discuss the sequence characteristics and chromosome structures of ORIs in the four yeast species, which can be utilized to improve the replication origins prediction.

  5. Agronomic and seed quality traits dissected by genome-wide association mapping in Brassica napus

    Directory of Open Access Journals (Sweden)

    Niklas eKörber

    2016-03-01

    Full Text Available In Brassica napus breeding, traits related to commercial success are of highest importance for plant breeders. However, such traits can only be assessed in an advanced developmental stage. % as well as require high experimental effort due to their quantitative inheritance and the importance of genotype*environment interaction. Molecular markers genetically linked to such traits have the potential to accelerate the breeding process of B. napus by marker-assisted selection. Therefore, the objectives of this study were to identify (i genome regions associated with the examined agronomic and seed quality traits, (ii the interrelationship of population structure and the detected associations, and (iii candidate genes for the revealed associations. The diversity set used in this study consisted of 405 Brassica napus inbred lines which were genotyped using a 6K single nucleotide polymorphism (SNP array and phenotyped for agronomic and seed quality traits in field trials. In a genome-wide association study, we detected a total of 112 associations between SNPs and the seed quality traits as well as 46 SNP-trait associations for the agronomic traits with a P-value 100 and a sequence identity of > 70 % to A. thaliana or B. rapa could be found for the agronomic SNP-trait associations and 187 hits of potential candidate genes for the seed quality SNP-trait associations.

  6. Genome-wide survey of ds exonization to enrich transcriptomes and proteomes in plants.

    Science.gov (United States)

    Liu, Li-Yu Daisy; Charng, Yuh-Chyang

    2012-01-01

    Insertion of transposable elements (TEs) into introns can lead to their activation as alternatively spliced cassette exons, an event called exonization which can enrich the complexity of transcriptomes and proteomes. Previously, we performed the first experimental assessment of TE exonization by inserting a Ds element into each intron of the rice epsps gene. Exonization of Ds in plants was biased toward providing splice donor sites from the beginning of the inserted Ds sequence. Additionally, Ds inserted in the reverse direction resulted in a continuous splice donor consensus region by offering 4 donor sites in the same intron. The current study involved genome-wide computational analysis of Ds exonization events in the dicot Arabidopsis thaliana and the monocot Oryza sativa (rice). Up to 71% of the exonized transcripts were putative targets for the nonsense-mediated decay (NMD) pathway. The insertion patterns of Ds and the polymorphic splice donor sites increased the transcripts and subsequent protein isoforms. Protein isoforms contain protein sequence due to unspliced intron-TE region and/or a shift of the reading frame. The number of interior protein isoforms would be twice that of C-terminal isoforms, on average. TE exonization provides a promising way for functional expansion of the plant proteome.

  7. Privacy-preserving genome-wide association studies on cloud environment using fully homomorphic encryption.

    Science.gov (United States)

    Lu, Wen-Jie; Yamada, Yoshiji; Sakuma, Jun

    2015-01-01

    Developed sequencing techniques are yielding large-scale genomic data at low cost. A genome-wide association study (GWAS) targeting genetic variations that are significantly associated with a particular disease offers great potential for medical improvement. However, subjects who volunteer their genomic data expose themselves to the risk of privacy invasion; these privacy concerns prevent efficient genomic data sharing. Our goal is to presents a cryptographic solution to this problem. To maintain the privacy of subjects, we propose encryption of all genotype and phenotype data. To allow the cloud to perform meaningful computation in relation to the encrypted data, we use a fully homomorphic encryption scheme. Noting that we can evaluate typical statistics for GWAS from a frequency table, our solution evaluates frequency tables with encrypted genomic and clinical data as input. We propose to use a packing technique for efficient evaluation of these frequency tables. Our solution supports evaluation of the D' measure of linkage disequilibrium, the Hardy-Weinberg Equilibrium, the χ2 test, etc. In this paper, we take χ2 test and linkage disequilibrium as examples and demonstrate how we can conduct these algorithms securely and efficiently in an outsourcing setting. We demonstrate with experimentation that secure outsourcing computation of one χ2 test with 10, 000 subjects requires about 35 ms and evaluation of one linkage disequilibrium with 10, 000 subjects requires about 80 ms. With appropriate encoding and packing technique, cryptographic solutions based on fully homomorphic encryption for secure computations of GWAS can be practical.

  8. Genome-Wide Epigenetic Studies in Human Disease: A Primer on -Omic Technologies.

    Science.gov (United States)

    Yan, Huihuang; Tian, Shulan; Slager, Susan L; Sun, Zhifu; Ordog, Tamas

    2016-01-15

    Epigenetic information encoded in covalent modifications of DNA and histone proteins regulates fundamental biological processes through the action of chromatin regulators, transcription factors, and noncoding RNA species. Epigenetic plasticity enables an organism to respond to developmental and environmental signals without genetic changes. However, aberrant epigenetic control plays a key role in pathogenesis of disease. Normal epigenetic states could be disrupted by detrimental mutations and expression alteration of chromatin regulators or by environmental factors. In this primer, we briefly review the epigenetic basis of human disease and discuss how recent discoveries in this field could be translated into clinical diagnosis, prevention, and treatment. We introduce platforms for mapping genome-wide chromatin accessibility, nucleosome occupancy, DNA-binding proteins, and DNA methylation, primarily focusing on the integration of DNA methylation and chromatin immunoprecipitation-sequencing technologies into disease association studies. We highlight practical considerations in applying high-throughput epigenetic assays and formulating analytical strategies. Finally, we summarize current challenges in sample acquisition, experimental procedures, data analysis, and interpretation and make recommendations on further refinement in these areas. Incorporating epigenomic testing into the clinical research arsenal will greatly facilitate our understanding of the epigenetic basis of disease and help identify novel therapeutic targets.

  9. Genome-wide profiling of genetic variation in Agrobacterium-transformed rice plants*#

    Science.gov (United States)

    Li, Wen-xu; Wu, San-ling; Liu, Yan-hua; Jin, Gu-lei; Zhao, Hai-jun; Fan, Long-jiang; Shu, Qing-yao

    2016-01-01

    Agrobacterium-mediated transformation has been widely used in producing transgenic plants, and was recently used to generate “transgene-clean” targeted genomic modifications coupled with the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas9) system. Although tremendous variation in morphological and agronomic traits, such as plant height, seed fertility, and grain size, was observed in transgenic plants, the underlying mechanisms are not yet well understood, and the types and frequency of genetic variation in transformed plants have not been fully disclosed. To reveal the genome-wide variation in transformed plants, we sequenced the genomes of five independent T0 rice plants using next-generation sequencing (NGS) techniques. Bioinformatics analyses followed by experimental validation revealed the following: (1) in addition to transfer-DNA (T-DNA) insertions, three transformed plants carried heritable plasmid backbone DNA of variable sizes (855–5216 bp) and in different configurations with the T-DNA insertions (linked or apart); (2) each transgenic plant contained an estimated 338–1774 independent genetic variations (single nucleotide variations (SNVs) or small insertion/deletions); and (3) 2–6 new Tos17 insertions were detected in each transformed plant, but no other transposable elements or bacterial genomic DNA. PMID:27921404

  10. FunCoup 3.0: database of genome-wide functional coupling networks.

    Science.gov (United States)

    Schmitt, Thomas; Ogris, Christoph; Sonnhammer, Erik L L

    2014-01-01

    We present an update of the FunCoup database (http://FunCoup.sbc.su.se) of functional couplings, or functional associations, between genes and gene products. Identifying these functional couplings is an important step in the understanding of higher level mechanisms performed by complex cellular processes. FunCoup distinguishes between four classes of couplings: participation in the same signaling cascade, participation in the same metabolic process, co-membership in a protein complex and physical interaction. For each of these four classes, several types of experimental and statistical evidence are combined by Bayesian integration to predict genome-wide functional coupling networks. The FunCoup framework has been completely re-implemented to allow for more frequent future updates. It contains many improvements, such as a regularization procedure to automatically downweight redundant evidences and a novel method to incorporate phylogenetic profile similarity. Several datasets have been updated and new data have been added in FunCoup 3.0. Furthermore, we have developed a new Web site, which provides powerful tools to explore the predicted networks and to retrieve detailed information about the data underlying each prediction.

  11. SiRNA sequence model: redesign algorithm based on available genome-wide libraries.

    Science.gov (United States)

    Kozak, Karol

    2013-12-01

    The evolution of RNA interference (RNAi) and the development of technologies exploiting its biology have enabled scientists to rapidly examine the consequences of depleting a particular gene product in cells. Design tools have been developed based on experimental data to increase the knockdown efficiency of siRNAs. Not all siRNAs that are developed to a given target mRNA are equally effective. Currently available design algorithms take an accession, identify conserved regions among their transcript space, find accessible regions within the mRNA, design all possible siRNAs for these regions, filter them based on multi-scores thresholds, and then perform off-target filtration. These different criteria are used by commercial suppliers to produce siRNA genome-wide libraries for different organisms. In this article, we analyze existing siRNA design algorithms and evaluate weight of design parameters for libraries produced in the last decade. We proved that not all essential parameters are currently applied by siRNA vendors. Based on our evaluation results, we were able to suggest an siRNA sequence pattern. The findings in our study can be useful for commercial vendors improving the design of RNAi constructs, by addressing both the issue of potency and the issue of specificity.

  12. Genome wide analysis of stress responsive WRKY transcription factors in Arabidopsis thaliana

    Directory of Open Access Journals (Sweden)

    Shaiq Sultan

    2016-04-01

    Full Text Available WRKY transcription factors are a class of DNA-binding proteins that bind with a specific sequence C/TTGACT/C known as W-Box found in promoters of genes which are regulated by these WRKYs. From previous studies, 43 different stress responsive WRKY transcription factors in Arabidopsis thaliana, identified and then categorized in three groups viz., abiotic, biotic and both of these stresses. A comprehensive genome wide analysis including chromosomal localization, gene structure analysis, multiple sequence alignment, phylogenetic analysis and promoter analysis of these WRKY genes was carried out in this study to determine the functional homology in Arabidopsis. This analysis led to the classification of these WRKY family members into 3 major groups and subgroups and showed evolutionary relationship among these groups on the base of their functional WRKY domain, chromosomal localization and intron/exon structure. The proposed groups of these stress responsive WRKY genes and annotation based on their position on chromosomes can also be explored to determine their functional homology in other plant species in relation to different stresses. The result of the present study provides indispensable genomic information for the stress responsive WRKY transcription factors in Arabidopsis and will pave the way to explain the precise role of various AtWRKYs in plant growth and development under stressed conditions.

  13. Lessons from Genome-Wide Association Studies in Reproductive Medicine: Menopause.

    Science.gov (United States)

    Ruth, Katherine S; Murray, Anna

    2016-07-01

    In recent years, common genetic variants have been identified by genome-wide association studies (GWASs) that have led to the detection of 44 genetic loci associated with approximately 6% of common variation in age at natural menopause. In the latest GWAS, doubling the sample size to approximately 70,000 women more than doubled the number of signals identified, from 17 to 56. In addition, low-frequency coding variants (highlighting the importance of this pathway in determining oocyte reserve. In addition, GWAS demonstrates that the hypothalamic-pituitary axis is involved in menopause timing as well as puberty timing, showing the first genetic link between timing of the start and end of reproductive life. Genetic variants have been used to explore the causal relationships between menopause timing and breast cancer. These studies demonstrate that for a 1 year increase in menopause age, there is a 6% increase in breast cancer risk, a value approximately double the estimate from epidemiological studies. Prolonged exposure to estrogen during reproductive life is the likely mechanism, rather than a direct effect of DDR variants on cancer risk. Further work is needed to determine the mechanism for the effect of each variant identified by GWAS and more variants will undoubtedly be discovered as sample sizes increase, denser single nucleotide polymorphism arrays and reference genomes are used, and populations from diverse ethnic groups are studied.

  14. Genetic diversity and genome-wide association analysis of cooking time in dry bean (Phaseolus vulgaris L.).

    Science.gov (United States)

    Cichy, Karen A; Wiesinger, Jason A; Mendoza, Fernando A

    2015-08-01

    Fivefold diversity for cooking time found in a panel of 206 Phaseolus vulgaris accessions. Fastest accession cooks nearly 20 min faster than average.   SNPs associated with cooking time on Pv02, 03, and 06. Dry beans (Phaseolus vulgaris L.) are a nutrient dense food and a dietary staple in parts of Africa and Latin America. One of the major factors that limits greater utilization of beans is their long cooking times compared to other foods. Cooking time is an important trait with implications for gender equity, nutritional value of diets, and energy utilization. Very little is known about the genetic diversity and genomic regions involved in determining cooking time. The objective of this research was to assess cooking time on a panel of 206 P. vulgaris accessions, use genome- wide association analysis (GWAS) to identify genomic regions influencing this trait, and to test the ability to predict cooking time by raw seed characteristics. In this study 5.5-fold variation for cooking time was found and five bean accessions were identified which cook in less than 27 min across 2 years, where the average cooking time was 37 min. One accession, ADP0367 cooked nearly 20 min faster than average. Four of these five accessions showed close phylogenetic relationship based on a NJ tree developed with ~5000 SNP markers, suggesting a potentially similar underlying genetic mechanism. GWAS revealed regions on chromosomes Pv02, Pv03, and Pv06 associated with cooking time. Vis/NIR scanning of raw seed explained 68 % of the phenotypic variation for cooking time, suggesting with additional experimentation, it may be possible to use this spectroscopy method to non-destructively identify fast cooking lines as part of a breeding program.

  15. Association Between Chromosome 9p21 Variants and the Ankle-Brachial Index Identified by a Meta-Analysis of 21 Genome-Wide Association Studies

    DEFF Research Database (Denmark)

    Murabito, Joanne M; White, Charles C; Kavousi, Maryam

    2012-01-01

    BACKGROUND: -Genetic determinants of peripheral arterial disease (PAD) remain largely unknown. To identify genetic variants associated with the ankle-brachial index (ABI), a noninvasive measure of PAD, we conducted a meta-analysis of genome-wide association study data from 21 population-based coh...

  16. Gene interactions in the DNA damage-response pathway identified by genome-wide RNA-interference analysis of synthetic lethality

    NARCIS (Netherlands)

    van Haaften, Gijs; Vastenhouw, Nadine L; Nollen, Ellen A A; Plasterk, Ronald H A; Tijsterman, Marcel

    2004-01-01

    Here, we describe a systematic search for synthetic gene interactions in a multicellular organism, the nematode Caenorhabditis elegans. We established a high-throughput method to determine synthetic gene interactions by genome-wide RNA interference and identified genes that are required to protect t

  17. Association Between Chromosome 9p21 Variants and the Ankle-Brachial Index Identified by a Meta-Analysis of 21 Genome-Wide Association Studies

    NARCIS (Netherlands)

    Murabito, Joanne M.; White, Charles C.; Kavousi, Maryam; Sun, Yan V.; Feitosa, Mary F.; Nambi, Vijay; Lamina, Claudia; Schillert, Arne; Coassin, Stefan; Bis, Joshua C.; Broer, Linda; Crawford, Dana C.; Franceschini, Nora; Frikke-Schmidt, Ruth; Haun, Margot; Holewijn, Suzanne; Huffman, Jennifer E.; Hwang, Shih-Jen; Kiechl, Stefan; Kollerits, Barbara; Montasser, May E.; Nolte, Ilja M.; Rudock, Megan E.; Senft, Andrea; Teumer, Alexander; van der Harst, Pim; Vitart, Veronique; Waite, Lindsay L.; Wood, Andrew R.; Wassel, Christina L.; Absher, Devin M.; Allison, Matthew A.; Amin, Najaf; Arnold, Alice; Asselbergs, Folkert W.; Aulchenko, Yurii; Bandinelli, Stefania; Barbalic, Maja; Boban, Mladen; Brown-Gentry, Kristin; Couper, David J.; Criqui, Michael H.; Dehghan, Abbas; den Heijer, Martin; Dieplinger, Benjamin; Ding, Jingzhong; Doerr, Marcus; Espinola-Klein, Christine; Felix, Stephan B.; Ferrucci, Luigi; Folsom, Aaron R.; Fraedrich, Gustav; Gibson, Quince; Goodloe, Robert; Gunjaca, Grgo; Haltmayer, Meinhard; Heiss, Gerardo; Hofman, Albert; Kieback, Arne; Kiemeney, Lambertus A.; Kolcic, Ivana; Kullo, Iftikhar J.; Kritchevsky, Stephen B.; Lackner, Karl J.; Li, Xiaohui; Lieb, Wolfgang; Lohman, Kurt; Meisinger, Christa; Melzer, David; Mohler, Emile R.; Mudnic, Ivana; Mueller, Thomas; Navis, Gerjan; Oberhollenzer, Friedrich; Olin, Jeffrey W.; O'Connell, Jeff; O'Donnell, Christopher J.; Palmas, Walter; Penninx, Brenda W.; Petersmann, Astrid; Polasek, Ozren; Psaty, Bruce M.; Rantner, Barbara; Rice, Ken; Rivadeneira, Fernando; Rotter, Jerome I.; Seldenrijk, Adrie; Stadler, Marietta; Summerer, Monika; Tanaka, Toshiko; Tybjaerg-Hansen, Anne; Uitterlinden, Andre G.; van Gilst, Wiek H.; Vermeulen, Sita H.; Wild, Sarah H.; Wild, Philipp S.; Willeit, Johann; Zeller, Tanja; Zemunik, Tatijana; Zgaga, Lina; Assimes, Themistocles L.; Blankenberg, Stefan; Campbell, Harry; Boerwinkle, Eric; Cooke, John P.; de Graaf, Jacqueline; Herrington, David; Kardia, Sharon L. R.; Mitchell, Braxton D.; Murray, Anna; Muenzel, Thomas; Newman, Anne B.; Oostra, Ben A.; Rudan, Igor; Shuldiner, Alan R.; Snieder, Harold; van Duijn, Cornelia M.; Voelker, Uwe; Wright, Alan F.; Wichmann, H. -Erich; Wilson, James F.; Witteman, Jacqueline C. M.; Liu, Yongmei; Hayward, Caroline; Borecki, Ingrid B.; Ziegler, Andreas; North, Kari E.; Cupples, L. Adrienne; Kronenberg, Florian; Dorr, M.; Munzel, T.; Volker, U.

    2012-01-01

    Background-Genetic determinants of peripheral arterial disease (PAD) remain largely unknown. To identify genetic variants associated with the ankle-brachial index (ABI), a noninvasive measure of PAD, we conducted a meta-analysis of genome-wide association study data from 21 population-based cohorts.

  18. Meta-analysis of genome-wide association studies from the CHARGE consortium identifies common variants associated with carotid intima media thickness and plaque

    NARCIS (Netherlands)

    J.C. Bis (Joshua); M. Kavousi (Maryam); N. Franceschini (Nora); A.J. Isaacs (Aaron); G.R. Abecasis (Gonçalo); U. Schminke (Ulf); W.S. Post (Wendy S.); A.V. Smith (Albert Vernon); L.A. Cupples (Adrienne); H.S. Markus (Hugh S.); R. Schmidt (Reinhold); J.E. Huffman (Jennifer); T. Lehtimäki (Terho); J. Baumert (Jens); T. Münzel (Thomas); S.R. Heckbert (Susan); A. Dehghan (Abbas); K.E. North (Kari); B.A. Oostra (Ben); S. Bevan (Steve); E.M. Stoegerer (Eva Maria); C. Hayward (Caroline); O. Raitakari (Olli); C. Meisinger (Christa); A. Schillert (Arne); S. Sanna (Serena); H. Völzke (Henry); Y.C. Cheng (Yu Ching); B. Thorsson (Bolli); C.S. Fox (Caroline); K. Rice (Kenneth); F. Rivadeneira Ramirez (Fernando); V. Nambi (Vijay); E. Halperin (Eran); K. Petrovic (Katja); L. Peltonen (Leena Johanna); H.E. Wichmann (Heinz Erich); R.B. Schnabel (Renate); M. Dörr (Marcus); A. Parsa (Afshin); T. Aspelund (Thor); S. Demissie (Serkalem); S. Kathiresan (Sekar); M.P. Reilly (Muredach); K.D. Taylor (Kent); A.G. Uitterlinden (André); D.J. Couper (David); M. Sitzer (Matthias); M. Kähönen (Mika); T. Illig (Thomas); P.S. Wild (Philipp); M. Orrù (Marco); J. Lüdemann (Jan); A.R. Shuldiner (Alan); G. Eiriksdottir (Gudny); C.C. White (Charles); J.I. Rotter (Jerome); A. Hofman (Albert); J. Seissler (Jochen); T. Zeller (Tanja); G. Usala; F.D.J. Ernst (Florian); L.J. Launer (Lenore); R.B. D'Agostino (Ralph); D.H. O'Leary (Daniel H.); C. Ballantyne (Christie); J.P. Thiery (Joachim); A. Ziegler (Andreas); E. Lakatta (Edward); R.K. Chilukoti (Ravi Kumar); T.B. Harris (Tamara); P.A. Wolf (Philip); B.M. Psaty (Bruce); J.F. Polak (Joseph F.); X. Li (Xiaohui); W. Rathmann (Wolfgang); M. Uda (Manuela); E.A. Boerwinkle (Eric); N. Klopp (Norman); J.F. Wilson (James); J. Viikari (Jorma); W. Koenig (Wolfgang); S. Blankenberg (Stefan); A.B. Newman (Anne); J.C.M. Witteman (Jacqueline); G. Heiss (Gerardo); C.M. van Duijn (Cock); A. Scuteri (Angelo); G. Homuth (Georg); B.D. Mitchell (Braxton); V. Gudnason (Vilmundur); C.J. O'Donnell (Christopher)

    2011-01-01

    textabstractCarotid intima media thickness (cIMT) and plaque determined by ultrasonography are established measures of subclinical atherosclerosis that each predicts future cardiovascular disease events. We conducted a meta-analysis of genome-wide association data in 31,211 participants of European

  19. Genome-wide analysis of Polycomb targets in Drosophila

    Energy Technology Data Exchange (ETDEWEB)

    Schwartz, Yuri B.; Kahn, Tatyana G.; Nix, David A.; Li,Xiao-Yong; Bourgon, Richard; Biggin, Mark; Pirrotta, Vincenzo

    2006-04-01

    Polycomb Group (PcG) complexes are multiprotein assemblages that bind to chromatin and establish chromatin states leading to epigenetic silencing. PcG proteins regulate homeotic genes in flies and vertebrates but little is known about other PcG targets and the role of the PcG in development, differentiation and disease. We have determined the distribution of the PcG proteins PC, E(Z) and PSC and of histone H3K27 trimethylation in the Drosophila genome. At more than 200 PcG target genes, binding sites for the three PcG proteins colocalize to presumptive Polycomb Response Elements (PREs). In contrast, H3 me3K27 forms broad domains including the entire transcription unit and regulatory regions. PcG targets are highly enriched in genes encoding transcription factors but receptors, signaling proteins, morphogens and regulators representing all major developmental pathways are also included.

  20. A genome-wide meta-analysis identifies novel loci associated with schizophrenia and bipolar disorder.

    Science.gov (United States)

    Wang, Ke-Sheng; Liu, Xue-Feng; Aragam, Nagesh

    2010-12-01

    Schizophrenia and bipolar disorder both have strong inherited components. Recent studies have indicated that schizophrenia and bipolar disorder may share more than half of their genetic determinants. In this study, we performed a meta-analysis (combined analysis) for genome-wide association data of the Affymetrix Genome-Wide Human SNP array 6.0 to detect genetic variants influencing both schizophrenia and bipolar disorder using European-American samples (653 bipolar cases and 1034 controls, 1172 schizophrenia cases and 1379 controls). The best associated SNP rs11789399 was located at 9q33.1 (p=2.38 × 10(-6), 5.74 × 10(-4), and 5.56 × 10(-9), for schizophrenia, bipolar disorder and meta-analysis of schizophrenia and bipolar disorder, respectively), where one flanking gene, ASTN2 (220kb away) has been associated with attention deficit/hyperactivity disorder and schizophrenia. The next best SNP was rs12201676 located at 6q15 (p=2.67 × 10(-4), 2.12 × 10(-5), 3.88 × 10(-8) for schizophrenia, bipolar disorder and meta-analysis, respectively), near two flanking genes, GABRR1 and GABRR2 (15 and 17kb away, respectively). The third interesting SNP rs802568 was at 7q35 within CNTNAP2 (p=8.92 × 10(-4), 1.38 × 10(-5), and 1.62 × 10(-7) for schizophrenia, bipolar disorder and meta-analysis, respectively). Through meta-analysis, we found two additional associated genes NALCN (the top SNP is rs2044117, p=4.57 × 10(-7)) and NAP5 (the top SNP is rs10496702, p=7.15 × 10(-7)). Haplotype analyses of above five loci further supported the associations with schizophrenia and bipolar disorder. These results provide evidence of common genetic variants influencing schizophrenia and bipolar disorder. These findings will serve as a resource for replication in other populations to elucidate the potential role of these genetic variants in schizophrenia and bipolar disorder.

  1. Genome-Wide Analysis of the Aquaporin Gene Family in Chickpea (Cicer arietinum L.).

    Science.gov (United States)

    Deokar, Amit A; Tar'an, Bunyamin

    2016-01-01

    Aquaporins (AQPs) are essential membrane proteins that play critical role in the transport of water and many other solutes across cell membranes. In this study, a comprehensive genome-wide analysis identified 40 AQP genes in chickpea (Cicer arietinum L.). A complete overview of the chickpea AQP (CaAQP) gene family is presented, including their chromosomal locations, gene structure, phylogeny, gene duplication, conserved functional motifs, gene expression, and conserved promoter motifs. To understand AQP's evolution, a comparative analysis of chickpea AQPs with AQP orthologs from soybean, Medicago, common bean, and Arabidopsis was performed. The chickpea AQP genes were found on all of the chickpea chromosomes, except chromosome 7, with a maximum of six genes on chromosome 6, and a minimum of one gene on chromosome 5. Gene duplication analysis indicated that the expansion of chickpea AQP gene family might have been due to segmental and tandem duplications. CaAQPs were grouped into four subfamilies including 15 NOD26-like intrinsic proteins (NIPs), 13 tonoplast intrinsic proteins (TIPs), eight plasma membrane intrinsic proteins (PIPs), and four small basic intrinsic proteins (SIPs) based on sequence similarities and phylogenetic position. Gene structure analysis revealed a highly conserved exon-intron pattern within CaAQP subfamilies supporting the CaAQP family classification. Functional prediction based on conserved Ar/R selectivity filters, Froger's residues, and specificity-determining positions suggested wide differences in substrate specificity among the subfamilies of CaAQPs. Expression analysis of the AQP genes indicated that some of the genes are tissue-specific, whereas few other AQP genes showed differential expression in response to biotic and abiotic stresses. Promoter profiling of CaAQP genes for conserved cis-acting regulatory elements revealed enrichment of cis-elements involved in circadian control, light response, defense and stress responsiveness

  2. A genome-wide association study identifies protein quantitative trait loci (pQTLs.

    Directory of Open Access Journals (Sweden)

    David Melzer

    2008-05-01

    Full Text Available There is considerable evidence that human genetic variation influences gene expression. Genome-wide studies have revealed that mRNA levels are associated with genetic variation in or close to the gene coding for those mRNA transcripts - cis effects, and elsewhere in the genome - trans effects. The role of genetic variation in determining protein levels has not been systematically assessed. Using a genome-wide association approach we show that common genetic variation influences levels of clinically relevant proteins in human serum and plasma. We evaluated the role of 496,032 polymorphisms on levels of 42 proteins measured in 1200 fasting individuals from the population based InCHIANTI study. Proteins included insulin, several interleukins, adipokines, chemokines, and liver function markers that are implicated in many common diseases including metabolic, inflammatory, and infectious conditions. We identified eight Cis effects, including variants in or near the IL6R (p = 1.8x10(-57, CCL4L1 (p = 3.9x10(-21, IL18 (p = 6.8x10(-13, LPA (p = 4.4x10(-10, GGT1 (p = 1.5x10(-7, SHBG (p = 3.1x10(-7, CRP (p = 6.4x10(-6 and IL1RN (p = 7.3x10(-6 genes, all associated with their respective protein products with effect sizes ranging from 0.19 to 0.69 standard deviations per allele. Mechanisms implicated include altered rates of cleavage of bound to unbound soluble receptor (IL6R, altered secretion rates of different sized proteins (LPA, variation in gene copy number (CCL4L1 and altered transcription (GGT1. We identified one novel trans effect that was an association between ABO blood group and tumour necrosis factor alpha (TNF-alpha levels (p = 6.8x10(-40, but this finding was not present when TNF-alpha was measured using a different assay , or in a second study, suggesting an assay-specific association. Our results show that protein levels share some of the features of the genetics of gene expression. These include the presence of strong genetic effects in cis

  3. Genome-wide analysis of promoter architecture in Drosophila melanogaster

    Energy Technology Data Exchange (ETDEWEB)

    Hoskins, Roger A.; Landolin, Jane M.; Brown, James B.; Sandler, Jeremy E.; Takahashi, Hazuki; Lassmann, Timo; Yu, Charles; Booth, Benjamin W.; Zhang, Dayu; Wan, Kenneth H.; Yang, Li; Boley, Nathan; Andrews, Justen; Kaufman, Thomas C.; Graveley, Brenton R.; Bickel, Peter J.; Carninci, Piero; Carlson, Joseph W.; Celniker, Susan E.

    2010-10-20

    Core promoters are critical regions for gene regulation in higher eukaryotes. However, the boundaries of promoter regions, the relative rates of initiation at the transcription start sites (TSSs) distributed within them, and the functional significance of promoter architecture remain poorly understood. We produced a high-resolution map of promoters active in the Drosophila melanogaster embryo by integrating data from three independent and complementary methods: 21 million cap analysis of gene expression (CAGE) tags, 1.2 million RNA ligase mediated rapid amplification of cDNA ends (RLMRACE) reads, and 50,000 cap-trapped expressed sequence tags (ESTs). We defined 12,454 promoters of 8037 genes. Our analysis indicates that, due to non-promoter-associated RNA background signal, previous studies have likely overestimated the number of promoter-associated CAGE clusters by fivefold. We show that TSS distributions form a complex continuum of shapes, and that promoters active in the embryo and adult have highly similar shapes in 95% of cases. This suggests that these distributions are generally determined by static elements such as local DNA sequence and are not modulated by dynamic signals such as histone modifications. Transcription factor binding motifs are differentially enriched as a function of promoter shape, and peaked promoter shape is correlated with both temporal and spatial regulation of gene expression. Our results contribute to the emerging view that core promoters are functionally diverse and control patterning of gene expression in Drosophila and mammals.

  4. Genome-Wide Screening of Genes Required for Glycosylphosphatidylinositol Biosynthesis.

    Directory of Open Access Journals (Sweden)

    Yao Rong

    Full Text Available Glycosylphosphatidylinositol (GPI is synthesized and transferred to proteins in the endoplasmic reticulum (ER. GPI-anchored proteins are then transported from the ER to the plasma membrane through the Golgi apparatus. To date, at least 17 steps have been identified to be required for the GPI biosynthetic pathway. Here, we aimed to establish a comprehensive screening method to identify genes involved in GPI biosynthesis using mammalian haploid screens. Human haploid cells were mutagenized by the integration of gene trap vectors into the genome. Mutagenized cells were then treated with a bacterial pore-forming toxin, aerolysin, which binds to GPI-anchored proteins for targeting to the cell membrane. Cells that showed low surface expression of CD59, a GPI-anchored protein, were further enriched for. Gene trap insertion sites in the non-selected population and in the enriched population were determined by deep sequencing. This screening enriched 23 gene regions among the 26 known GPI biosynthetic genes, which when mutated are expected to decrease the surface expression of GPI-anchored proteins. Our results indicate that the forward genetic approach using haploid cells is a useful and powerful technique to identify factors involved in phenotypes of interest.

  5. Genome wide analysis of blood pressure variability and ischemic stroke

    Science.gov (United States)

    Khan, Muhammad S; Nalls, Michael A; Bevan, Steve; Cheng, Yu-Ching; Chen, Wei-Min; Malik, Rainer; McCarthy, Nina S; Holliday, Elizabeth G; Speed, Douglas; Hasan, Nazeeha; Pucek, Mateusz; Rinne, Paul E.; Sever, Peter; Stanton, Alice; Shields, Denis C; Maguire, Jane M; McEvoy, Mark; Scott, Rodney J; Ferrucci, Luigi; Macleod, Mary J; Attia, John; Markus, Hugh S; Sale, Michele M; Worrall, Bradford B; Mitchell, Braxton D; Dichgans, Martin; Sudlow, Cathy; Meschia, James F; Rothwell, Peter M

    2013-01-01

    Background and Purpose Visit-to-visit variability in BP is associated with ischemic stroke. We sought to determine whether such variability has a genetic aetiology and whether genetic variants associated with BP variability are also associated with ischemic stroke. Methods A GWAS for loci influencing BP variability was undertaken in 3,802 individuals from the Anglo-Scandinavian Cardiac Outcome Trial (ASCOT) study where long-term visit-to-visit and within visit BP measures were available. Since BP variability is strongly associated with ischemic stroke, we genotyped the sentinel SNP in an independent ischemic stroke population comprising of 8,624 cases and 12,722 controls and in 3,900 additional (Scandinavian) participants from the ASCOT study in order to replicate our findings. Results The ASCOT discovery GWAS identified a cluster of 17 correlated SNPs within the NLGN1 gene (3q26.31) associated with BP variability. The strongest association was with rs976683 (p=1.4×10−8). Conditional analysis on rs976683 provided no evidence of additional independent associations at the locus. Analysis of rs976683 in ischemic stroke patients found no association for overall stroke (OR 1.02; 95% CI 0.97-1.07; p=0.52) or its sub-types: CE (OR 1.07; 95% CI 0.97-1.16; p=0.17), LVD (OR 0.98; 95% 0.89-1.07; p=0.60) and SVD (OR 1.07; 95% CI 0.97-1.17; p=0.19). No evidence for association was found between rs976683 and BP variability in the additional (Scandinavian) ASCOT participants (p=0.18). Conclusions We identified a cluster of SNPs at the NLGN1 locus showing significant association with BP variability. Follow up analyses did not support an association with risk of ischemic stroke and its subtypes. PMID:23929743

  6. Genome-wide DNA methylation analysis in permanent atrial fibrillation.

    Science.gov (United States)

    Zhao, Guochang; Zhou, Jian; Gao, Jie; Liu, Yan; Gu, Song; Zhang, Xitao; Su, Pixiong

    2017-10-01

    Atrial fibrillation (AF) is a highly heterogeneous genetic disease; however, the pathogenesis of AF cannot be explained by genetic variants alone. DNA methylation is a heritable method of gene expression regulation, and may be a potential regulatory mechanism in AF. Therefore, in the present study, the genome‑wide DNA methylation pattern in cells derived from the left atrium of patients with permanent AF (n=7) was compared with that of healthy heart donors (n=4) with a normal sinus rhythm (SR). Enriched biological functions of the differentially methylated genes were assessed. Integrated analysis of genome‑wide methylation and mRNA expression profiles was performed, and reverse transcription quantitative‑polymerase chain reaction (RT‑qPCR) was used to determine the expression levels of four selected genes. A total of 417 differentially methylated CpG sites were identified in the fibrillating atrium (P0.17); the majority of which were located in gene‑body and intergenic regions outside of CpG islands. Aberrantly methylated genes participated in the activation of inflammation, sodium and potassium ion transport, fibrosis and the reduction of lipid metabolism. Hypermethylation in the AF susceptible loci, paired‑like homeodomain transcription factor 2 (chromosome 4q25) and coiled‑coil domain containing 141 (chromosome 2q31), as well as hypomethylation in the calcium voltage‑gated channel subunit α1C (chromosome 12p13) locus, were identified in all patients with AF. Of the 420 upregulated and 567 downregulated genes previously identified in patients with AF relative to those with normal SR (fold‑change >2.0; P≤0.05), 12 genes were hypomethylated and eight genes were hypermethylated in each group, respectively (|β|>0.2: Peffect of DNA methylation on gene expression. These results suggest that DNA methylation‑mediated regulation of gene expression may serve an important role in AF pathogenesis, and several susceptible AF CpG loci were

  7. CMIP: a software package capable of reconstructing genome-wide regulatory networks using gene expression data.

    Science.gov (United States)

    Zheng, Guangyong; Xu, Yaochen; Zhang, Xiujun; Liu, Zhi-Ping; Wang, Zhuo; Chen, Luonan; Zhu, Xin-Guang

    2016-12-23

    A gene regulatory network (GRN) represents interactions of genes inside a cell or tissue, in which vertexes and edges stand for genes and their regulatory interactions respectively. Reconstruction of gene regulatory networks, in particular, genome-scale networks, is essential for comparative exploration of different species and mechanistic investigation of biological processes. Currently, most of network inference methods are computationally intensive, which are usually effective for small-scale tasks (e.g., networks with a few hundred genes), but are difficult to construct GRNs at genome-scale. Here, we present a software package for gene regulatory network reconstruction at a genomic level, in which gene interaction is measured by the conditional mutual information measurement using a parallel computing framework (so the package is named CMIP). The package is a greatly improved implementation of our previous PCA-CMI algorithm. In CMIP, we provide not only an automatic threshold determination method but also an effective parallel computing framework for network inference. Performance tests on benchmark datasets show that the accuracy of CMIP is comparable to most current network inference methods. Moreover, running tests on synthetic datasets demonstrate that CMIP can handle large datasets especially genome-wide datasets within an acceptable time period. In addition, successful application on a real genomic dataset confirms its practical applicability of the package. This new software package provides a powerful tool for genomic network reconstruction to biological community. The software can be accessed at http://www.picb.ac.cn/CMIP/ .

  8. Genome-Wide Identification, Characterization and Expression Profiling of ADF Family Genes in Solanum lycopersicum L.

    Directory of Open Access Journals (Sweden)

    Khadiza Khatun

    2016-09-01

    Full Text Available The actin depolymerizing factor (ADF proteins have growth, development, defense-related and growth regulatory functions in plants. The present study used genome-wide analysis to investigate ADF family genes in tomato. Eleven tomato ADF genes were identified and differential expression patterns were found in different organs. SlADF6 was preferentially expressed in roots, suggesting its function in root development. SlADF1, SlADF3 and SlADF10 were predominately expressed in the flowers compared to the other organs and specifically in the stamen compared to other flower parts, indicating their potential roles in pollen development. The comparatively higher expression of SlADF3 and SlADF11 at early fruit developmental stages might implicate them in determining final fruit size. SlADF5 and SlADF8 had relatively higher levels of expression five days after the breaker stage of fruit development, suggesting their possible role in fruit ripening. Notably, six genes were induced by cold and heat, seven by drought, five by NaCl, and four each by abscisic acid (ABA, jasmonic acid (JA and wounding treatments. The differential expression patterns of the SlADF genes under different types of stresses suggested their function in stress tolerance in tomato plants. Our results will be helpful for the functional characterization of ADF genes during organ and fruit development of tomato under different stresses.

  9. A genome-wide scan identifies variants in NFIB associated with metastasis in patients with osteosarcoma

    Science.gov (United States)

    Mirabello, Lisa; Koster, Roelof; Moriarity, Branden S.; Spector, Logan G.; Meltzer, Paul S.; Gary, Joy; Machiela, Mitchell J.; Pankratz, Nathan; Panagiotou, Orestis A.; Largaespada, David; Wang, Zhaoming; Gastier-Foster, Julie M.; Gorlick, Richard; Khanna, Chand; de Toledo, Silvia Regina Caminada; Petrilli, Antonio S.; Patiño-Garcia, Ana; Sierrasesúmaga, Luis; Lecanda, Fernando; Andrulis, Irene L.; Wunder, Jay S.; Gokgoz, Nalan; Serra, Massimo; Hattinger, Claudia; Picci, Piero; Scotlandi, Katia; Flanagan, Adrienne M.; Tirabosco, Roberto; Amary, Maria Fernanda; Halai, Dina; Ballinger, Mandy L.; Thomas, David M.; Davis, Sean; Barkauskas, Donald A.; Marina, Neyssa; Helman, Lee; Otto, George M.; Becklin, Kelsie L.; Wolf, Natalie K.; Weg, Madison T.; Tucker, Margaret; Wacholder, Sholom; Fraumeni, Joseph F.; Caporaso, Neil E.; Boland, Joseph F.; Hicks, Belynda D.; Vogt, Aurelie; Burdett, Laurie; Yeager, Meredith; Hoover, Robert N.; Chanock, Stephen J.; Savage, Sharon A.

    2015-01-01

    Metastasis is the leading cause of death in osteosarcoma patients, the most common pediatric bone malignancy. We conducted a multi-stage genome-wide association study of osteosarcoma metastasis at diagnosis in 935 osteosarcoma patients to determine whether germline genetic variation contributes to risk of metastasis. We identified a SNP, rs7034162, in NFIB significantly associated with metastasis in European osteosarcoma cases, as well as in cases of African and Brazilian ancestry (meta-analysis of all cases: P=1.2×10−9, OR 2.43, 95% CI 1.83–3.24). The risk allele was significantly associated with lowered NFIB expression, which led to increased osteosarcoma cell migration, proliferation, and colony formation. Additionally, a transposon screen in mice identified a significant proportion of osteosarcomas harboring inactivating insertions in Nfib, and had lowered Nfib expression. These data suggest that germline genetic variation at rs7034162 is important in osteosarcoma metastasis, and that NFIB is an osteosarcoma metastasis susceptibility gene. PMID:26084801

  10. Pseudo-Seq: Genome-Wide Detection of Pseudouridine Modifications in RNA.

    Science.gov (United States)

    Carlile, Thomas M; Rojas-Duran, Maria F; Gilbert, Wendy V

    2015-01-01

    RNA molecules contain a variety of chemically diverse, posttranscriptionally modified bases. The most abundant modified base found in cellular RNAs, pseudouridine (Ψ), has recently been mapped to hundreds of sites in mRNAs, many of which are dynamically regulated. Though the pseudouridine landscape has been determined in only a few cell types and growth conditions, the enzymes responsible for mRNA pseudouridylation are universally conserved, suggesting many novel pseudouridylated sites remain to be discovered. Here, we present Pseudo-seq, a technique that allows the identification of sites of pseudouridylation genome-wide with single-nucleotide resolution. In this chapter, we provide a detailed description of Pseudo-seq. We include protocols for RNA isolation from Saccharomyces cerevisiae, Pseudo-seq library preparation, and data analysis, including descriptions of processing and mapping of sequencing reads, computational identification of sites of pseudouridylation, and assignment of sites to specific pseudouridine synthases. The approach presented here is readily adaptable to any cell or tissue type from which high-quality mRNA can be isolated. Identification of novel pseudouridylation sites is an important first step in elucidating the regulation and functions of these modifications.

  11. Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukaemia

    Science.gov (United States)

    Law, Philip J.; Berndt, Sonja I.; Speedy, Helen E.; Camp, Nicola J.; Sava, Georgina P.; Skibola, Christine F.; Holroyd, Amy; Joseph, Vijai; Sunter, Nicola J.; Nieters, Alexandra; Bea, Silvia; Monnereau, Alain; Martin-Garcia, David; Goldin, Lynn R.; Clot, Guillem; Teras, Lauren R.; Quintela, Inés; Birmann, Brenda M.; Jayne, Sandrine; Cozen, Wendy; Majid, Aneela; Smedby, Karin E.; Lan, Qing; Dearden, Claire; Brooks-Wilson, Angela R.; Hall, Andrew G.; Purdue, Mark P.; Mainou-Fowler, Tryfonia; Vajdic, Claire M.; Jackson, Graham H.; Cocco, Pierluigi; Marr, Helen; Zhang, Yawei; Zheng, Tongzhang; Giles, Graham G.; Lawrence, Charles; Call, Timothy G.; Liebow, Mark; Melbye, Mads; Glimelius, Bengt; Mansouri, Larry; Glenn, Martha; Curtin, Karen; Diver, W Ryan; Link, Brian K.; Conde, Lucia; Bracci, Paige M.; Holly, Elizabeth A.; Jackson, Rebecca D.; Tinker, Lesley F.; Benavente, Yolanda; Boffetta, Paolo; Brennan, Paul; Maynadie, Marc; McKay, James; Albanes, Demetrius; Weinstein, Stephanie; Wang, Zhaoming; Caporaso, Neil E.; Morton, Lindsay M.; Severson, Richard K.; Riboli, Elio; Vineis, Paolo; Vermeulen, Roel C. H.; Southey, Melissa C.; Milne, Roger L.; Clavel, Jacqueline; Topka, Sabine; Spinelli, John J.; Kraft, Peter; Ennas, Maria Grazia; Summerfield, Geoffrey; Ferri, Giovanni M.; Harris, Robert J.; Miligi, Lucia; Pettitt, Andrew R.; North, Kari E.; Allsup, David J.; Fraumeni, Joseph F.; Bailey, James R.; Offit, Kenneth; Pratt, Guy; Hjalgrim, Henrik; Pepper, Chris; Chanock, Stephen J.; Fegan, Chris; Rosenquist, Richard; de Sanjose, Silvia; Carracedo, Angel; Dyer, Martin J. S.; Catovsky, Daniel; Campo, Elias; Cerhan, James R.; Allan, James M.; Rothman, Nathanial; Houlston, Richard; Slager, Susan

    2017-01-01

    Several chronic lymphocytic leukaemia (CLL) susceptibility loci have been reported; however, much of the heritable risk remains unidentified. Here we perform a meta-analysis of six genome-wide association studies, imputed using a merged reference panel of 1,000 Genomes and UK10K data, totalling 6,200 cases and 17,598 controls after replication. We identify nine risk loci at 1p36.11 (rs34676223, P=5.04 × 10−13), 1q42.13 (rs41271473, P=1.06 × 10−10), 4q24 (rs71597109, P=1.37 × 10−10), 4q35.1 (rs57214277, P=3.69 × 10−8), 6p21.31 (rs3800461, P=1.97 × 10−8), 11q23.2 (rs61904987, P=2.64 × 10−11), 18q21.1 (rs1036935, P=3.27 × 10−8), 19p13.3 (rs7254272, P=4.67 × 10−8) and 22q13.33 (rs140522, P=2.70 × 10−9). These new and established risk loci map to areas of active chromatin and show an over-representation of transcription factor binding for the key determinants of B-cell development and immune response. PMID:28165464

  12. A novel algorithm for simultaneous SNP selection in high-dimensional genome-wide association studies

    Directory of Open Access Journals (Sweden)

    Zuber Verena

    2012-10-01

    Full Text Available Abstract Background Identification of causal SNPs in most genome wide association studies relies on approaches that consider each SNP individually. However, there is a strong correlation structure among SNPs that needs to be taken into account. Hence, increasingly modern computationally expensive regression methods are employed for SNP selection that consider all markers simultaneously and thus incorporate dependencies among SNPs. Results We develop a novel multivariate algorithm for large scale SNP selection using CAR score regression, a promising new approach for prioritizing biomarkers. Specifically, we propose a computationally efficient procedure for shrinkage estimation of CAR scores from high-dimensional data. Subsequently, we conduct a comprehensive comparison study including five advanced regression approaches (boosting, lasso, NEG, MCP, and CAR score and a univariate approach (marginal correlation to determine the effectiveness in finding true causal SNPs. Conclusions Simultaneous SNP selection is a challenging task. We demonstrate that our CAR score-based algorithm consistently outperforms all competing approaches, both uni- and multivariate, in terms of correctly recovered causal SNPs and SNP ranking. An R package implementing the approach as well as R code to reproduce the complete study presented here is available from http://strimmerlab.org/software/care/.

  13. Biallelic and Genome Wide Association Mapping of Germanium Tolerant Loci in Rice (Oryza sativa L..

    Directory of Open Access Journals (Sweden)

    Partha Talukdar

    Full Text Available Rice plants accumulate high concentrations of silicon. Silicon has been shown to be involved in plant growth, high yield, and mitigating biotic and abiotic stresses. However, it has been demonstrated that inorganic arsenic is taken up by rice through silicon transporters under anaerobic conditions, thus the ability to efficiently take up silicon may be considered either a positive or a negative trait in rice. Germanium is an analogue of silicon that produces brown lesions in shoots and leaves, and germanium toxicity has been used to identify mutants in silicon and arsenic transport. In this study, two different genetic mapping methods were performed to determine the loci involved in germanium sensitivity in rice. Genetic mapping in the biparental cross of Bala × Azucena (an F6 population and a genome wide association (GWA study with 350 accessions from the Rice Diversity Panel 1 were conducted using 15 μM of germanic acid. This identified a number of germanium sensitive loci: some co-localised with previously identified quantitative trait loci (QTL for tissue silicon or arsenic concentration, none co-localised with Lsi1 or Lsi6, while one single nucleotide polymorphism (SNP was detected within 200 kb of Lsi2 (these are genes known to transport silicon, whose identity was discovered using germanium toxicity. However, examining candidate genes that are within the genomic region of the loci detected above reveals genes homologous to both Lsi1 and Lsi2, as well as a number of other candidate genes, which are discussed.

  14. A genome-wide copy number variant study of suicidal behavior.

    Directory of Open Access Journals (Sweden)

    Jeffrey A Gross

    Full Text Available Suicide and suicide attempts are complex behaviors that result from the interaction of different factors, including genetic variants that increase the predisposition to suicidal behaviors. Copy number variations (CNVs are deletions or duplications of a segment of DNA usually larger than one kilobase. These structural genetic changes, although quite rare, have been associated with genetic liability to mental disorders, such as autism, schizophrenia, and bipolar disorder. No genome-wide level studies have been published investigating the potential role of CNVs in suicidal behaviors. Based on single-nucleotide polymorphism array data, we followed the Penn-CNV standards to detect CNVs in 1,608 subjects, comprising 475 suicide and suicide attempt cases and 1,133 controls. Although the initial algorithms determined the presence of CNVs on chromosomes 6 and 12 in seven and eight cases, respectively, compared with none of the controls, visual inspection of the raw data did not support this finding. Furthermore we were unable to validate these findings by CNV-specific real-time polymerase chain reaction. Additionally, rare CNV burden analysis did not find an association between the frequency or length of rare CNVs and suicidal behavior in our sample population. Although our findings suggest CNVs do not play an important role in the etiology of suicidal behaviors, they are not inconsistent with the strong evidence from the literature suggesting that other genetic variants account for a portion of the total phenotypic variability in suicidal behavior.

  15. Genome-wide system analysis reveals stable yet flexible network dynamics in yeast.

    Science.gov (United States)

    Gustafsson, M; Hörnquist, M; Björkegren, J; Tegnér, J

    2009-07-01

    Recently, important insights into static network topology for biological systems have been obtained, but still global dynamical network properties determining stability and system responsiveness have not been accessible for analysis. Herein, we explore a genome-wide gene-to-gene regulatory network based on expression data from the cell cycle in Saccharomyces cerevisae (budding yeast). We recover static properties like hubs (genes having several out-going connections), network motifs and modules, which have previously been derived from multiple data sources such as whole-genome expression measurements, literature mining, protein-protein and transcription factor binding data. Further, our analysis uncovers some novel dynamical design principles; hubs are both repressed and repressors, and the intra-modular dynamics are either strongly activating or repressing whereas inter-modular couplings are weak. Finally, taking advantage of the inferred strength and direction of all interactions, we perform a global dynamical systems analysis of the network. Our inferred dynamics of hubs, motifs and modules produce a more stable network than what is expected given randomised versions. The main contribution of the repressed hubs is to increase system stability, while higher order dynamic effects (e.g. module dynamics) mainly increase system flexibility. Altogether, the presence of hubs, motifs and modules induce few flexible modes, to which the network is extra sensitive to an external signal. We believe that our approach, and the inferred biological mode of strong flexibility and stability, will also apply to other cellular networks and adaptive systems.

  16. Genome-Wide Identification, Characterization and Expression Profiling of ADF Family Genes in Solanum lycopersicum L.

    Science.gov (United States)

    Khatun, Khadiza; Robin, Arif Hasan Khan; Park, Jong-In; Kim, Chang Kil; Lim, Ki-Byung; Kim, Min-Bae; Lee, Do-Jin; Nou, Ill Sup; Chung, Mi-Young

    2016-09-29

    The actin depolymerizing factor (ADF) proteins have growth, development, defense-related and growth regulatory functions in plants. The present study used genome-wide analysis to investigate ADF family genes in tomato. Eleven tomato ADF genes were identified and differential expression patterns were found in different organs. SlADF6 was preferentially expressed in roots, suggesting its function in root development. SlADF1, SlADF3 and SlADF10 were predominately expressed in the flowers compared to the other organs and specifically in the stamen compared to other flower parts, indicating their potential roles in pollen development. The comparatively higher expression of SlADF3 and SlADF11 at early fruit developmental stages might implicate them in determining final fruit size. SlADF5 and SlADF8 had relatively higher levels of expression five days after the breaker stage of fruit development, suggesting their possible role in fruit ripening. Notably, six genes were induced by cold and heat, seven by drought, five by NaCl, and four each by abscisic acid (ABA), jasmonic acid (JA) and wounding treatments. The differential expression patterns of the SlADF genes under different types of stresses suggested their function in stress tolerance in tomato plants. Our results will be helpful for the functional characterization of ADF genes during organ and fruit development of tomato under different stresses.

  17. Forty-three loci associated with plasma lipoprotein size, concentration, and cholesterol content in genome-wide analysis.

    Directory of Open Access Journals (Sweden)

    Daniel I Chasman

    2009-11-01

    Full Text Available While conventional LDL-C, HDL-C, and triglyceride measurements reflect aggregate properties of plasma lipoprotein fractions, NMR-based measurements more accurately reflect lipoprotein particle concentrations according to class (LDL, HDL, and VLDL and particle size (small, medium, and large. The concentrations of these lipoprotein sub-fractions may be related to risk of cardiovascular disease and related metabolic disorders. We performed a genome-wide association study of 17 lipoprotein measures determined by NMR together with LDL-C, HDL-C, triglycerides, ApoA1, and ApoB in 17,296 women from the Women's Genome Health Study (WGHS. Among 36 loci with genome-wide significance (P<5x10(-8 in primary and secondary analysis, ten (PCCB/STAG1 (3q22.3, GMPR/MYLIP (6p22.3, BTNL2 (6p21.32, KLF14 (7q32.2, 8p23.1, JMJD1C (10q21.3, SBF2 (11p15.4, 12q23.2, CCDC92/DNAH10/ZNF664 (12q24.31.B, and WIPI1 (17q24.2 have not been reported in prior genome-wide association studies for plasma lipid concentration. Associations with mean lipoprotein particle size but not cholesterol content were found for LDL at four loci (7q11.23, LPL (8p21.3, 12q24.31.B, and LIPG (18q21.1 and for HDL at one locus (GCKR (2p23.3. In addition, genetic determinants of total IDL and total VLDL concentration were found at many loci, most strongly at LIPC (15q22.1 and APOC-APOE complex (19q13.32, respectively. Associations at seven more loci previously known for effects on conventional plasma lipid measures reveal additional genetic influences on lipoprotein profiles and bring the total number of loci to 43. Thus, genome-wide associations identified novel loci involved with lipoprotein metabolism-including loci that affect the NMR-based measures of concentration or size of LDL, HDL, and VLDL particles-all characteristics of lipoprotein profiles that may impact disease risk but are not available by conventional assay.

  18. Genome wide association studies for body conformation traits in the Chinese Holstein cattle population

    DEFF Research Database (Denmark)

    Wu, Xiaoping; Fang, Ming; Liu, Lin;

    2013-01-01

    Background: Genome-wide association study (GWAS) is a powerful tool for revealing the genetic basis of quantitative traits. However, studies using GWAS for conformation traits of cattle is comparatively less. This study aims to use GWAS to find the candidates genes for body conformation traits.......Results: The Illumina BovineSNP50 BeadChip was used to identify single nucleotide polymorphisms (SNPs) that are associated with body conformation traits. A least absolute shrinkage and selection operator (LASSO) was applied to detect multiple SNPs simultaneously for 29 body conformation traits with 1,314 Chinese...... Holstein cattle and 52,166 SNPs. Totally, 59 genome-wide significant SNPs associated with 26 conformation traits were detected by genome-wide association analysis; five SNPs were within previously reported QTL regions (Animal Quantitative Trait Loci (QTL) database) and 11 were very close to the reported...

  19. Genetic link between family socioeconomic status and children's educational achievement estimated from genome-wide SNPs.

    Science.gov (United States)

    Krapohl, E; Plomin, R

    2016-03-01

    One of the best predictors of children's educational achievement is their family's socioeconomic status (SES), but the degree to which this association is genetically mediated remains unclear. For 3000 UK-representative unrelated children we found that genome-wide single-nucleotide polymorphisms could explain a third of the variance of scores on an age-16 UK national examination of educational achievement and half of the correlation between their scores and family SES. Moreover, genome-wide polygenic scores based on a previously published genome-wide association meta-analysis of total number of years in education accounted for ~3.0% variance in educational achievement and ~2.5% in family SES. This study provides the first molecular evidence for substantial genetic influence on differences in children's educational achievement and its association with family SES.

  20. Genome-wide analyses of aggressiveness in attention-deficit hyperactivity disorder.

    Science.gov (United States)

    Brevik, Erlend J; van Donkelaar, Marjolein M J; Weber, Heike; Sánchez-Mora, Cristina; Jacob, Christian; Rivero, Olga; Kittel-Schneider, Sarah; Garcia-Martínez, Iris; Aebi, Marcel; van Hulzen, Kimm; Cormand, Bru; Ramos-Quiroga, Josep A; Lesch, Klaus-Peter; Reif, Andreas; Ribasés, Marta; Franke, Barbara; Posserud, Maj-Britt; Johansson, Stefan; Lundervold, Astri J; Haavik, Jan; Zayats, Tetyana

    2016-07-01

    Aggressiveness is a behavioral trait that has the potential to be harmful to individuals and society. With an estimated heritability of about 40%, genetics is important in its development. We performed an exploratory genome-wide association (GWA) analysis of childhood aggressiveness in attention deficit hyperactivity disorder (ADHD) to gain insight into the underlying biological processes associated with this trait. Our primary sample consisted of 1,060 adult ADHD patients (aADHD). To further explore the genetic architecture of childhood aggressiveness, we performed enrichment analyses of suggestive genome-wide associations observed in aADHD among GWA signals of dimensions of oppositionality (defiant/vindictive and irritable dimensions) in childhood ADHD (cADHD). No single polymorphism reached genome-wide significance (P aggressiveness and provide targets for further genetic exploration of aggressiveness across psychiatric disorders. © 2016 The Authors. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics Published by Wiley Periodicals, Inc.

  1. The challenges of genome-wide interaction studies: lessons to learn from the analysis of HDL blood levels.

    Directory of Open Access Journals (Sweden)

    Elisabeth M van Leeuwen

    Full Text Available Genome-wide association studies (GWAS have revealed 74 single nucleotide polymorphisms (SNPs associated with high-density lipoprotein cholesterol (HDL blood levels. This study is, to our knowledge, the first genome-wide interaction study (GWIS to identify SNP×SNP interactions associated with HDL levels. We performed a GWIS in the Rotterdam Study (RS cohort I (RS-I using the GLIDE tool which leverages the massively parallel computing power of Graphics Processing Units (GPUs to perform linear regression on all genome-wide pairs of SNPs. By performing a meta-analysis together with Rotterdam Study cohorts II and III (RS-II and RS-III, we were able to filter 181 interaction terms with a p-value<1 · 10-8 that replicated in the two independent cohorts. We were not able to replicate any of these interaction term in the AGES, ARIC, CHS, ERF, FHS and NFBC-66 cohorts (Ntotal = 30,011 when adjusting for multiple testing. Our GWIS resulted in the consistent finding of a possible interaction between rs774801 in ARMC8 (ENSG00000114098 and rs12442098 in SPATA8 (ENSG00000185594 being associated with HDL levels. However, p-values do not reach the preset Bonferroni correction of the p-values. Our study suggest that even for highly genetically determined traits such as HDL the sample sizes needed to detect SNP×SNP interactions are large and the 2-step filtering approaches do not yield a solution. Here we present our analysis plan and our reservations concerning GWIS.

  2. Meta-Analysis in Genome-Wide Association Datasets: Strategies and Application in Parkinson Disease

    Science.gov (United States)

    Evangelou, Evangelos; Maraganore, Demetrius M.; Ioannidis, John P.A.

    2007-01-01

    Background Genome-wide association studies hold substantial promise for identifying common genetic variants that regulate susceptibility to complex diseases. However, for the detection of small genetic effects, single studies may be underpowered. Power may be improved by combining genome-wide datasets with meta-analytic techniques. Methodology/Principal Findings Both single and two-stage genome-wide data may be combined and there are several possible strategies. In the two-stage framework, we considered the options of (1) enhancement of replication data and (2) enhancement of first-stage data, and then, we also considered (3) joint meta-analyses including all first-stage and second-stage data. These strategies were examined empirically using data from two genome-wide association studies (three datasets) on Parkinson disease. In the three strategies, we derived 12, 5, and 49 single nucleotide polymorphisms that show significant associations at conventional levels of statistical significance. None of these remained significant after conservative adjustment for the number of performed analyses in each strategy. However, some may warrant further consideration: 6 SNPs were identified with at least 2 of the 3 strategies and 3 SNPs [rs1000291 on chromosome 3, rs2241743 on chromosome 4 and rs3018626 on chromosome 11] were identified with all 3 strategies and had no or minimal between-dataset heterogeneity (I2 = 0, 0 and 15%, respectively). Analyses were primarily limited by the suboptimal overlap of tested polymorphisms across different datasets (e.g., only 31,192 shared polymorphisms between the two tier 1 datasets). Conclusions/Significance Meta-analysis may be used to improve the power and examine the between-dataset heterogeneity of genome-wide association studies. Prospective designs may be most efficient, if they try to maximize the overlap of genotyping platforms and anticipate the combination of data across many genome-wide association studies. PMID:17332845

  3. Meta-analysis in genome-wide association datasets: strategies and application in Parkinson disease.

    Science.gov (United States)

    Evangelou, Evangelos; Maraganore, Demetrius M; Ioannidis, John P A

    2007-02-07

    Genome-wide association studies hold substantial promise for identifying common genetic variants that regulate susceptibility to complex diseases. However, for the detection of small genetic effects, single studies may be underpowered. Power may be improved by combining genome-wide datasets with meta-analytic techniques. Both single and two-stage genome-wide data may be combined and there are several possible strategies. In the two-stage framework, we considered the options of (1) enhancement of replication data and (2) enhancement of first-stage data, and then, we also considered (3) joint meta-analyses including all first-stage and second-stage data. These strategies were examined empirically using data from two genome-wide association studies (three datasets) on Parkinson disease. In the three strategies, we derived 12, 5, and 49 single nucleotide polymorphisms that show significant associations at conventional levels of statistical significance. None of these remained significant after conservative adjustment for the number of performed analyses in each strategy. However, some may warrant further consideration: 6 SNPs were identified with at least 2 of the 3 strategies and 3 SNPs [rs1000291 on chromosome 3, rs2241743 on chromosome 4 and rs3018626 on chromosome 11] were identified with all 3 strategies and had no or minimal between-dataset heterogeneity (I(2) = 0, 0 and 15%, respectively). Analyses were primarily limited by the suboptimal overlap of tested polymorphisms across different datasets (e.g., only 31,192 shared polymorphisms between the two tier 1 datasets). Meta-analysis may be used to improve the power and examine the between-dataset heterogeneity of genome-wide association studies. Prospective designs may be most efficient, if they try to maximize the overlap of genotyping platforms and anticipate the combination of data across many genome-wide association studies.

  4. Constitutional mosaic genome-wide uniparental disomy due to diploidisation: an unusual cancer-predisposing mechanism.

    Science.gov (United States)

    Romanelli, Valeria; Nevado, Julián; Fraga, Mario; Trujillo, Alex Martín; Mori, Maria Ángeles; Fernández, Luis; Pérez de Nanclares, Guiomar; Martínez-Glez, Víctor; Pita, Guillermo; Meneses, Heloisa; Gracia, Ricardo; García-Miñaur, Sixto; García de Miguel, Purificación; Lecumberri, Beatriz; Rodríguez, José Ignacio; González Neira, Anna; Monk, David; Lapunzina, Pablo

    2011-03-01

    Molecular studies in a patient with Beckwith-Wiedemann syndrome phenotype who developed two different tumours revealed an unexpected observation of almost complete loss of heterozygosity of all chromosomes. It is shown, by means of numerous molecular methods, that the absence of maternal contribution in somatic cells is due to high-degree (∼ 85%) genome-wide paternal uniparental disomy (UPD). The observations indicate that the genome-wide UPD results from diploidisation, and have important implications for genetic counselling and tumour surveillance for the growing number of UPD associated imprinting disorders.

  5. Genome-wide mapping of Polycomb target genes unravels their roles in cell fate transitions

    DEFF Research Database (Denmark)

    Bracken, Adrian P; Dietrich, Nikolaj; Pasini, Diego;

    2006-01-01

    The Polycomb group (PcG) proteins form chromatin-modifying complexes that are essential for embryonic development and stem cell renewal and are commonly deregulated in cancer. Here, we identify their target genes using genome-wide location analysis in human embryonic fibroblasts. We find that Pol......The Polycomb group (PcG) proteins form chromatin-modifying complexes that are essential for embryonic development and stem cell renewal and are commonly deregulated in cancer. Here, we identify their target genes using genome-wide location analysis in human embryonic fibroblasts. We find...

  6. Generation of meiomaps of genome-wide recombination and chromosome segregation in human oocytes

    DEFF Research Database (Denmark)

    Ottolini, Christian S; Capalbo, Antonio; Newnham, Louise

    2016-01-01

    We have developed a protocol for the generation of genome-wide maps (meiomaps) of recombination and chromosome segregation for the three products of human female meiosis: the first and second polar bodies (PB1 and PB2) and the corresponding oocyte. PB1 is biopsied and the oocyte is artificially......-nucleotide polymorphisms (SNPs) genome-wide by microarray. Informative maternal heterozygous SNPs are phased using a haploid PB2 or oocyte as a reference. A simple algorithm is then used to identify the maternal haplotypes for each chromosome, in all of the products of meiosis for each oocyte. This allows mapping...

  7. Quality control and conduct of genome-wide association meta-analyses

    DEFF Research Database (Denmark)

    Winkler, Thomas W; Day, Felix R; Croteau-Chonka, Damien C

    2014-01-01

    Rigorous organization and quality control (QC) are necessary to facilitate successful genome-wide association meta-analyses (GWAMAs) of statistics aggregated across multiple genome-wide association studies. This protocol provides guidelines for (i) organizational aspects of GWAMAs, and for (ii) QC...... at the study file level, the meta-level across studies and the meta-analysis output level. Real-world examples highlight issues experienced and solutions developed by the GIANT Consortium that has conducted meta-analyses including data from 125 studies comprising more than 330,000 individuals. We provide...

  8. A Genome Wide Comparison to Identify Markers to Differentiate the Sex of Larval Stages of Schistosoma haematobium, Schistosoma bovis and their Respective Hybrids.

    Directory of Open Access Journals (Sweden)

    Julien Kincaid-Smith

    2016-11-01

    Full Text Available For scientists working on gonochoric organisms, determining sex can be crucial for many biological questions and experimental studies, such as crossbreeding, but it can also be a challenging task, particularly when no sexual dimorphism is visible or cannot be directly observed. In metazoan parasites of the genus Schistosoma responsible for schistosomiasis, sex is genetically determined in the zygote with a female heterogametic ZW/ZZ system. Adult flukes have a pronounced sexual dimorphism, whereas the sexes of the larval stages are morphologically indistinguishable but can be distinguished uniquely by using molecular methods. Therefore, reliable methods are needed to identify the sex of larvae individuals. Here, we present an endpoint PCR-based assay using female-specific sequences identified using a genome-wide comparative analysis between males and females. This work allowed us to identify sex-markers for Schistosoma haematobium and Schistosoma bovis but also the hybrid between both species that has recently emerged in Corsica (France. Five molecular sex-markers were identified and are female-specific in S. haematobium and the hybrid parasite, whereas three of them are also female-specific in S. bovis. These molecular markers will be useful to conduct studies, such as experimental crosses on these disease-causing blood flukes, which are still largely neglected but no longer restricted to tropical areas.

  9. Meta-analysis of heterogeneous Down Syndrome data reveals consistent genome-wide dosage effects related to neurological processes

    Directory of Open Access Journals (Sweden)

    Pérez-Jurado Luis A

    2011-05-01

    Full Text Available Abstract Background Down syndrome (DS; trisomy 21 is the most common genetic cause of mental retardation in the human population and key molecular networks dysregulated in DS are still unknown. Many different experimental techniques have been applied to analyse the effects of dosage imbalance at the molecular and phenotypical level, however, currently no integrative approach exists that attempts to extract the common information. Results We have performed a statistical meta-analysis from 45 heterogeneous publicly available DS data sets in order to identify consistent dosage effects from these studies. We identified 324 genes with significant genome-wide dosage effects, including well investigated genes like SOD1, APP, RUNX1 and DYRK1A as well as a large proportion of novel genes (N = 62. Furthermore, we characterized these genes using gene ontology, molecular interactions and promoter sequence analysis. In order to judge relevance of the 324 genes for more general cerebral pathologies we used independent publicly available microarry data from brain studies not related with DS and identified a subset of 79 genes with potential impact for neurocognitive processes. All results have been made available through a web server under http://ds-geneminer.molgen.mpg.de/. Conclusions Our study represents a comprehensive integrative analysis of heterogeneous data including genome-wide transcript levels in the domain of trisomy 21. The detected dosage effects build a resource for further studies of DS pathology and the development of new therapies.

  10. MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study

    Directory of Open Access Journals (Sweden)

    Xue Hong

    2009-01-01

    Full Text Available Abstract Background The interactions of multiple single nucleotide polymorphisms (SNPs are highly hypothesized to affect an individual's susceptibility to complex diseases. Although many works have been done to identify and quantify the importance of multi-SNP interactions, few of them could handle the genome wide data due to the combinatorial explosive search space and the difficulty to statistically evaluate the high-order interactions given limited samples. Results Three comparative experiments are designed to evaluate the performance of MegaSNPHunter. The first experiment uses synthetic data generated on the basis of epistasis models. The second one uses a genome wide study on Parkinson disease (data acquired by using Illumina HumanHap300 SNP chips. The third one chooses the rheumatoid arthritis study from Wellcome Trust Case Control Consortium (WTCCC using Affymetrix GeneChip 500K Mapping Array Set. MegaSNPHunter outperforms the best solution in this area and reports many potential interactions for the two real studies. Conclusion The experimental results on both synthetic data and two real data sets demonstrate that our proposed approach outperforms the best solution that is currently available in handling large-scale SNP data both in terms of speed and in terms of detection of potential interactions that were not identified before. To our knowledge, MegaSNPHunter is the first approach that is capable of identifying the disease-associated SNP interactions from WTCCC studies and is promising for practical disease prognosis.

  11. Genome-wide metabolic model to improve understanding of CD4(+) T cell metabolism, immunometabolism and application in drug design.

    Science.gov (United States)

    Han, Feifei; Li, Gonghua; Dai, Shaoxing; Huang, Jingfei

    2016-02-01

    CD4(+) T cells play a critical role in adaptive immunity and have been well studied in past decades. However, the systematic metabolism features are less clear. Here, we reconstructed the genome-wide metabolic network of naïve CD4(+) T cells, CD4T1670, by integrating transcriptome and metabolism data. We performed simulations for three critical metabolic subsystems (carbohydrate metabolism, fatty acid metabolism and glutaminolysis). The results were consistent with most experimental observations. Furthermore, we found that depletion of either glucose or glutamine did not significantly affect ATP production and biomass, but dramatically unbalanced the metabolic network and increased the release of some inflammation or anti-inflammation related factors, such as lysophosphatidylcholine, leukotriene and hyaluronan. Genome-wide single gene knockout analysis showed that acetyl-CoA carboxylase 1 (ACC1) was essential for T cell activation. We further investigated the role of immunometabolic genes in metabolic network stability, and found that over 25% of them were essential. The results also showed that although PTEN is a well-studied proliferation inhibitor, it was essential for maintaining the stability of CD4 metabolic networks. Finally, we applied CD4T1670 to evaluate the side-effects of certain drugs in preclinical experiments. These results suggested that CD4T1670 would be useful in understanding CD4(+) T cells and drug design systematically.

  12. Sensitivity of genome-wide-association signals to phenotyping strategy: the PROP-TAS2R38 taste association as a benchmark.

    Directory of Open Access Journals (Sweden)

    Ulrich K Genick

    Full Text Available Natural genetic variation can have a pronounced influence on human taste perception, which in turn may influence food preference and dietary choice. Genome-wide association studies represent a powerful tool to understand this influence. To help optimize the design of future genome-wide-association studies on human taste perception we have used the well-known TAS2R38-PROP association as a tool to determine the relative power and efficiency of different phenotyping and data-analysis strategies. The results show that the choice of both data collection and data processing schemes can have a very substantial impact on the power to detect genotypic variation that affects chemosensory perception. Based on these results we provide practical guidelines for the design of future GWAS studies on chemosensory phenotypes. Moreover, in addition to the TAS2R38 gene past studies have implicated a number of other genetic loci to affect taste sensitivity to PROP and the related bitter compound PTC. None of these other locations showed genome-wide significant associations in our study. To facilitate further, target-gene driven, studies on PROP taste perception we provide the genome-wide list of p-values for all SNPs genotyped in the current study.

  13. Translating Lung Function Genome-Wide Association Study (GWAS) Findings: New Insights for Lung Biology.

    Science.gov (United States)

    Kheirallah, A K; Miller, S; Hall, I P; Sayers, I

    2016-01-01

    Chronic respiratory diseases are a major cause of worldwide mortality and morbidity. Although hereditary severe deficiency of α1 antitrypsin (A1AD) has been established to cause emphysema, A1AD accounts for only ∼ 1% of Chronic Obstructive Pulmonary Disease (COPD) cases. Genome-wide association studies (GWAS) have been successful at detecting multiple loci harboring variants predicting the variation in lung function measures and risk of COPD. However, GWAS are incapable of distinguishing causal from noncausal variants. Several approaches can be used for functional translation of genetic findings. These approaches have the scope to identify underlying alleles and pathways that are important in lung function and COPD. Computational methods aim at effective functional variant prediction by combining experimentally generated regulatory information with associated region of the human genome. Classically, GWAS association follow-up concentrated on manipulation of a single gene. However association data has identified genetic variants in >50 loci predicting disease risk or lung function. Therefore there is a clear precedent for experiments that interrogate multiple candidate genes in parallel, which is now possible with genome editing technology. Gene expression profiling can be used for effective discovery of biological pathways underpinning gene function. This information may be used for informed decisions about cellular assays post genetic manipulation. Investigating respiratory phenotypes in human lung tissue and specific gene knockout mice is a valuable in vivo approach that can complement in vitro work. Herein, we review state-of-the-art in silico, in vivo, and in vitro approaches that may be used to accelerate functional translation of genetic findings. Copyright © 2016 Elsevier Inc. All rights reserved.

  14. A genome-wide investigation of copy number variation in patients with sporadic brain arteriovenous malformation.

    Directory of Open Access Journals (Sweden)

    Nasrine Bendjilali

    Full Text Available BACKGROUND: Brain arteriovenous malformations (BAVM are clusters of abnormal blood vessels, with shunting of blood from the arterial to venous circulation and a high risk of rupture and intracranial hemorrhage. Most BAVMs are sporadic, but also occur in patients with Hereditary Hemorrhagic Telangiectasia, a Mendelian disorder caused by mutations in genes in the transforming growth factor beta (TGFβ signaling pathway. METHODS: To investigate whether copy number variations (CNVs contribute to risk of sporadic BAVM, we performed a genome-wide association study in 371 sporadic BAVM cases and 563 healthy controls, all Caucasian. Cases and controls were genotyped using the Affymetrix 6.0 array. CNVs were called using the PennCNV and Birdsuite algorithms and analyzed via segment-based and gene-based approaches. Common and rare CNVs were evaluated for association with BAVM. RESULTS: A CNV region on 1p36.13, containing the neuroblastoma breakpoint family, member 1 gene (NBPF1, was significantly enriched with duplications in BAVM cases compared to controls (P = 2.2×10(-9; NBPF1 was also significantly associated with BAVM in gene-based analysis using both PennCNV and Birdsuite. We experimentally validated the 1p36.13 duplication; however, the association did not replicate in an independent cohort of 184 sporadic BAVM cases and 182 controls (OR = 0.81, P = 0.8. Rare CNV analysis did not identify genes significantly associated with BAVM. CONCLUSION: We did not identify common CNVs associated with sporadic BAVM that replicated in an independent cohort. Replication in larger cohorts is required to elucidate the possible role of common or rare CNVs in BAVM pathogenesis.

  15. Escherichia coli genome-wide promoter analysis: Identification of additional AtoC binding target elements

    Directory of Open Access Journals (Sweden)

    Kolisis Fragiskos N

    2011-05-01

    Full Text Available Abstract Background Studies on bacterial signal transduction systems have revealed complex networks of functional interactions, where the response regulators play a pivotal role. The AtoSC system of E. coli activates the expression of atoDAEB operon genes, and the subsequent catabolism of short-chain fatty acids, upon acetoacetate induction. Transcriptome and phenotypic analyses suggested that atoSC is also involved in several other cellular activities, although we have recently reported a palindromic repeat within the atoDAEB promoter as the single, cis-regulatory binding site of the AtoC response regulator. In this work, we used a computational approach to explore the presence of yet unidentified AtoC binding sites within other parts of the E. coli genome. Results Through the implementation of a computational de novo motif detection workflow, a set of candidate motifs was generated, representing putative AtoC binding targets within the E. coli genome. In order to assess the biological relevance of the motifs and to select for experimental validation of those sequences related robustly with distinct cellular functions, we implemented a novel approach that applies Gene Ontology Term Analysis to the motif hits and selected those that were qualified through this procedure. The computational results were validated using Chromatin Immunoprecipitation assays to assess the in vivo binding of AtoC to the predicted sites. This process verified twenty-two additional AtoC binding sites, located not only within intergenic regions, but also within gene-encoding sequences. Conclusions This study, by tracing a number of putative AtoC binding sites, has indicated an AtoC-related cross-regulatory function. This highlights the significance of computational genome-wide approaches in elucidating complex patterns of bacterial cell regulation.

  16. Genome-wide transcriptional analysis of genes associated with acute desiccation stress in Anopheles gambiae.

    Directory of Open Access Journals (Sweden)

    Mei-Hui Wang

    Full Text Available Malaria transmission in sub-Saharan Africa varies seasonally in intensity. Outbreaks of malaria occur after the beginning of the rainy season, whereas, during the dry season, reports of the disease are less frequent. Anopheles gambiae mosquitoes, the main malaria vector, are observed all year long but their densities are low during the dry season that generally lasts several months. Aestivation, seasonal migration, and local adaptation have been suggested as mechanisms that enable mosquito populations to persist through the dry season. Studies of chromosomal inversions have shown that inversions 2La, 2Rb, 2Rc, 2Rd, and 2Ru are associated with various physiological changes that confer aridity resistance. However, little is known about how phenotypic plasticity responds to seasonally dry conditions. This study examined the effects of desiccation stress on transcriptional regulation in An. gambiae. We exposed female An. gambiae G3 mosquitoes to acute desiccation and conducted a genome-wide analysis of their transcriptomes using the Affymetrix Plasmodium/Anopheles Genome Array. The transcription of 248 genes (1.7% of all transcripts was significantly affected in all experimental conditions, including 96 with increased expression and 152 with decreased expression. In general, the data indicate a reduction in the metabolic rate of mosquitoes exposed to desiccation. Transcripts accumulated at higher levels during desiccation are associated with oxygen radical detoxification, DNA repair and stress responses. The proportion of transcripts within 2La and 2Rs (2Rb, 2Rc, 2Rd, and 2Ru (67/248, or 27% is similar to the percentage of transcripts located within these inversions (31%. These data may be useful in efforts to elucidate the role of chromosomal inversions in aridity tolerance. The scope of application of the anopheline genome demonstrates that examining transcriptional activity in relation to genotypic adaptations greatly expands the number of

  17. Genome-wide analysis and molecular dissection of the SPL gene family in Salvia miltiorrhiza

    Institute of Scientific and Technical Information of China (English)

    Linsu Zhang; Bin Wu; Degang Zhao; Caili Li; Fenjuan Shao; Shanfa Lu

    2014-01-01

    SQUAMOSA promoter binding protein-likes (SPLs) are plant-specific transcription factors playing vital regulatory roles in plant growth and development. There is no information about SPLs in Salvia miltiorrhiza (Danshen), a significant medicinal plant widely used in Traditional Chinese medicine (TCM) for>1,700 years and an emerging model plant for TCM studies. Through genome-wide identification and subsequent molecular cloning, we identified a total 15 SmSPLs with divergent sequence features, gene structures, and motifs. Comparative analysis showed sequence conservation between SmSPLs and their Arabidopsis counterparts. A phylogenetic tree clusters SmSPLs into six groups. Many of the motifs identified commonly exist in a group/subgroup, implying their functional redundancy. Eight SmSPLs were predicted and experimental y validated to be targets of miR156/157. SmSPLs were differen-tial y expressed in various tissues of S. milltiorrhiza. The expression of miR156/157-targeted SmSPLs was increased with the maturation of S. miltiorrhiza, whereas the expression of miR156/157 was decreased, confirming the regulatory roles of miR156/157 in SmSPLs and suggesting the functions of SmSPLs in S. miltiorrhiza development. The expression of miR156/157 was negatively correlated with miR172 during the maturation of S. miltiorrhiza. The results indicate the significance and complexity of SmSPL-, miR156-, and miR172-mediated regula-tion of developmental timing in S. miltiorrhiza.

  18. Genome-wide identification of small RNAs in the opportunistic pathogen Enterococcus faecalis V583.

    Directory of Open Access Journals (Sweden)

    Kouki Shioya

    Full Text Available Small RNA molecules (sRNAs are key mediators of virulence and stress inducible gene expressions in some pathogens. In this work we identify sRNAs in the gram positive opportunistic pathogen Enterococcus faecalis. We characterized 11 sRNAs by tiling microarray analysis, 5' and 3' RACE-PCR, and Northern blot analysis. Six sRNAs were specifically expressed at exponential phase, two sRNAs were observed at stationary phase, and three were detected during both phases. Searches of putative functions revealed that three of them (EFA0080_EFA0081 and EFB0062_EFB0063 on pTF1 and pTF2 plasmids, respectively, and EF0408_EF04092 located on the chromosome are similar to antisense RNA involved in plasmid addiction modules. Moreover, EF1097_EF1098 shares strong homologies with tmRNA (bi-functional RNA acting as both a tRNA and an mRNA and EF2205_EF2206 appears homologous to 4.5S RNA member of the Signal Recognition Particle (SRP ribonucleoprotein complex. In addition, proteomic analysis of the ΔEF3314_EF3315 sRNA mutant suggests that it may be involved in the turnover of some abundant proteins. The expression patterns of these transcripts were evaluated by tiling array hybridizations performed with samples from cells grown under eleven different conditions some of which may be encountered during infection. Finally, distribution of these sRNAs among genome sequences of 54 E. faecalis strains was assessed. This is the first experimental genome-wide identification of sRNAs in E. faecalis and provides impetus to the understanding of gene regulation in this important human pathogen.

  19. Genome-wide identification of Saccharomyces cerevisiae genes required for maximal tolerance to ethanol.

    Science.gov (United States)

    Teixeira, Miguel C; Raposo, Luís R; Mira, Nuno P; Lourenço, Artur B; Sá-Correia, Isabel

    2009-09-01

    The understanding of the molecular basis of yeast resistance to ethanol may guide the design of rational strategies to increase process performance in industrial alcoholic fermentations. In this study, the yeast disruptome was screened for mutants with differential susceptibility to stress induced by high ethanol concentrations in minimal growth medium. Over 250 determinants of resistance to ethanol were identified. The most significant gene ontology terms enriched in this data set are those associated with intracellular organization, biogenesis, and transport, in particular, regarding the vacuole, the peroxisome, the endosome, and the cytoskeleton, and those associated with the transcriptional machinery. Clustering the proteins encoded by the identified determinants of ethanol resistance by their known physical and genetic interactions highlighted the importance of the vacuolar protein sorting machinery, the vacuolar H(+)-ATPase complex, and the peroxisome protein import machinery. Evidence showing that vacuolar acidification and increased resistance to the cell wall lytic enzyme beta-glucanase occur in response to ethanol-induced stress was obtained. Based on the genome-wide results, the particular role of the FPS1 gene, encoding a plasma membrane aquaglyceroporin which mediates controlled glycerol efflux, in ethanol stress resistance was further investigated. FPS1 expression contributes to decreased [(3)H]ethanol accumulation in yeast cells, suggesting that Fps1p may also play a role in maintaining the intracellular ethanol level during active fermentation. The increased expression of FPS1 confirmed the important role of this gene in alcoholic fermentation, leading to increased final ethanol concentration under conditions that lead to high ethanol production.

  20. A genome-wide linkage study of individuals with high scores on NEO personality traits.

    Science.gov (United States)

    Amin, N; Schuur, M; Gusareva, E S; Isaacs, A; Aulchenko, Y S; Kirichenko, A V; Zorkoltseva, I V; Axenovich, T I; Oostra, B A; Janssens, A C J W; van Duijn, C M

    2012-10-01

    The NEO-Five-Factor Inventory divides human personality traits into five dimensions: neuroticism, extraversion, openness, conscientiousness and agreeableness. In this study, we sought to identify regions harboring genes with large effects on the five NEO personality traits by performing genome-wide linkage analysis of individuals scoring in the extremes of these traits (>90th percentile). Affected-only linkage analysis was performed using an Illumina 6K linkage array in a family-based study, the Erasmus Rucphen Family study. We subsequently determined whether distinct, segregating haplotypes found with linkage analysis were associated with the trait of interest in the population. Finally, a dense single-nucleotide polymorphism genotyping array (Illumina 318K) was used to search for copy number variations (CNVs) in the associated regions. In the families with extreme phenotype scores, we found significant evidence of linkage for conscientiousness to 20p13 (rs1434789, log of odds (LOD)=5.86) and suggestive evidence of linkage (LOD >2.8) for neuroticism to 19q, 21q and 22q, extraversion to 1p, 1q, 9p and12q, openness to 12q and 19q, and agreeableness to 2p, 6q, 17q and 21q. Further analysis determined haplotypes in 21q22 for neuroticism (P-values = 0.009, 0.007), in 17q24 for agreeableness (marginal P-value = 0.018) and in 20p13 for conscientiousness (marginal P-values = 0.058, 0.038) segregating in families with large contributions to the LOD scores. No evidence for CNVs in any of the associated regions was found. Our findings imply that there may be genes with relatively large effects involved in personality traits, which may be identified with next-generation sequencing techniques.

  1. Meta-analysis of genome-wide association studies identifies ten loci influencing allergic sensitization

    NARCIS (Netherlands)

    Bonnelykke, Klaus; Matheson, Melanie C.; Pers, Tune H.; Granell, Raquel; Strachan, David P.; Alves, Alexessander Couto; Linneberg, Allan; Curtin, John A.; Warrington, Nicole M.; Standl, Marie; Kerkhof, Marjan; Jonsdottir, Ingileif; Bukvic, Blazenka K.; Kaakinen, Marika; Sleimann, Patrick; Thorleifsson, Gudmar; Thorsteinsdottir, Unnur; Schramm, Katharina; Baltic, Svetlana; Kreiner-Moller, Eskil; Simpson, Angela; St Pourcain, Beate; Coin, Lachlan; Hui, Jennie; Walters, Eugene H.; Tiesler, Carla M. T.; Duffy, David L.; Jones, Graham; Ring, Susan M.; McArdle, Wendy L.; Price, Loren; Robertson, Colin F.; Pekkanen, Juha; Tang, Clara S.; Thiering, Elisabeth; Montgomery, Grant W.; Hartikainen, Anna-Liisa; Dharmage, Shyamali C.; Husemoen, Lise L.; Herder, Christian; Kemp, John P.; Elliot, Paul; James, Alan; Waldenberger, Melanie; Abramson, Michael J.; Fairfax, Benjamin P.; Knight, Julian C.; Gupta, Ramneek; Thompson, Philip J.; Holt, Patrick; Sly, Peter; Hirschhorn, Joel N.; Blekic, Mario; Weidinger, Stephan; Hakonarsson, Hakon; Stefansson, Kari; Heinrich, Joachim; Postma, Dirkje S.; Custovic, Adnan; Pennell, Craig E.; Jarvelin, Marjo-Riitta; Koppelman, Gerard H.; Timpson, Nicholas; Ferreira, Manuel A.; Bisgaard, Hans; Henderson, A. John

    2013-01-01

    Allergen-specific immunoglobulin E (present in allergic sensitization) has a central role in the pathogenesis of allergic disease. We performed the first large-scale genome-wide association study (GWAS) of allergic sensitization in 5,789 affected individuals and 10,056 controls and followed up the t

  2. Genome-wide association analysis identifies three new breast cancer susceptibility loci

    NARCIS (Netherlands)

    Ghoussaini, M.; Fletcher, O.; Michailidou, K.; Turnbull, C.; Schmidt, M.K.; Dicks, E.; Dennis, J.; Wang, Q.; Humphreys, M.K.; Luccarini, C.; Baynes, C.; Conroy, D.; Maranian, M.; Ahmed, S.; Driver, K.; Johnson, N.; Orr, N.; dos Santos Silva, I.; Waisfisz, Q.; Meijers-Heijboer, H.; Uitterlinden, A.G.; Rivadeneira, F.; Hall, P.; Czene, K.; Irwanto, A.; Liu, J.; Nevanlinna, H.; Aittomaki, K.; Blomqvist, C.; Meindl, A.; Schmutzler, R.K.; Muller-Myhsok, B.; Lichtner, P.; Chang-Claude, J.; Hein, R.; Nickels, S.; Flesch-Janys, D.; Tsimiklis, H.; Makalic, E.; Schmidt, D.; Bui, M.; Hopper, J.L.; Apicella, C.; Park, D.J.; Southey, M.; Hunter, D.J.; Chanock, S.J.; Broeks, A.; Verhoef, S.; Hogervorst, F.B.; Fasching, P.A.; Lux, M.P.; Beckmann, M.W.; Ekici, A.B.; Sawyer, E.; Tomlinson, I.; Kerin, M.; Marme, F.; Schneeweiss, A.; Sohn, C.; Burwinkel, B.; Guenel, P.; Truong, T.; Cordina-Duverger, E.; Menegaux, F.; Bojesen, S.E.; Nordestgaard, B.G.; Nielsen, S.F.; Flyger, H.; Milne, R.L.; Alonso, M.R.; Gonzalez-Neira, A.; Benitez, J.; Anton-Culver, H.; Ziogas, A.; Bernstein, L.; Dur, C.C.; Brenner, H.; Muller, H.; Arndt, V.; Stegmaier, C.; Justenhoven, C.; Brauch, H.; Bruning, T.; Wang-Gohrke, S.; Eilber, U.; Dork, T.; Schurmann, P.; Bremer, M.; Hillemanns, P.; Bogdanova, N.V.; Antonenkova, N.N.; Rogov, Y.I.; Karstens, J.H.; Bermisheva, M.; Prokofieva, D.; Ligtenberg, M.J.

    2012-01-01

    Breast cancer is the most common cancer among women. To date, 22 common breast cancer susceptibility loci have been identified accounting for approximately 8% of the heritability of the disease. We attempted to replicate 72 promising associations from two independent genome-wide association studies

  3. Genome-wide association analysis identifies three new breast cancer susceptibility loci

    DEFF Research Database (Denmark)

    Ghoussaini, Maya; Fletcher, Olivia; Michailidou, Kyriaki

    2012-01-01

    Breast cancer is the most common cancer among women. To date, 22 common breast cancer susceptibility loci have been identified accounting for ∼8% of the heritability of the disease. We attempted to replicate 72 promising associations from two independent genome-wide association studies (GWAS) in ...

  4. Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma

    NARCIS (Netherlands)

    Chambers, John C; Zhang, Weihua; Sehmi, Joban; Li, Xinzhong; Wass, Mark N; Van der Harst, Pim; Holm, Hilma; Sanna, Serena; Kavousi, Maryam; Baumeister, Sebastian E; Coin, Lachlan J; Deng, Guohong; Gieger, Christian; Heard-Costa, Nancy L; Hottenga, Jouke-Jan; Kühnel, Brigitte; Kumar, Vinod; Lagou, Vasiliki; Liang, Liming; Luan, Jian'an; Vidal, Pedro Marques; Mateo Leach, Irene; O'Reilly, Paul F; Peden, John F; Rahmioglu, Nilufer; Soininen, Pasi; Speliotes, Elizabeth K; Yuan, Xin; Thorleifsson, Gudmar; Alizadeh, Behrooz Z; Atwood, Larry D; Borecki, Ingrid B; Brown, Morris J; Charoen, Pimphen; Cucca, Francesco; Das, Debashish; de Geus, Eco J C; Dixon, Anna L; Döring, Angela; Ehret, Georg; Eyjolfsson, Gudmundur I; Farrall, Martin; Forouhi, Nita G; Friedrich, Nele; Goessling, Wolfram; Gudbjartsson, Daniel F; Harris, Tamara B; Hartikainen, Anna-Liisa; Heath, Simon; Hirschfield, Gideon M; Hofman, Albert; Homuth, Georg; Hyppönen, Elina; Janssen, Harry L A; Johnson, Toby; Kangas, Antti J; Kema, Ido P; Kühn, Jens P; Lai, Sandra; Lathrop, Mark; Lerch, Markus M; Li, Yun; Liang, T Jake; Lin, Jing-Ping; Loos, Ruth J F; Martin, Nicholas G; Moffatt, Miriam F; Montgomery, Grant W; Munroe, Patricia B; Musunuru, Kiran; Nakamura, Yusuke; O'Donnell, Christopher J; Olafsson, Isleifur; Penninx, Brenda W; Pouta, Anneli; Prins, Bram P; Prokopenko, Inga; Puls, Ralf; Ruokonen, Aimo; Savolainen, Markku J; Schlessinger, David; Schouten, Jeoffrey N L; Seedorf, Udo; Sen-Chowdhry, Srijita; Siminovitch, Katherine A; Smit, Johannes H; Spector, Timothy D; Tan, Wenting; Teslovich, Tanya M; Tukiainen, Taru; Uitterlinden, Andre G; Van der Klauw, Melanie M; Vasan, Ramachandran S; Wallace, Chris; Wallaschofski, Henri; Wichmann, H-Erich; Willemsen, Gonneke; Würtz, Peter; Xu, Chun; Yerges-Armstrong, Laura M; Abecasis, Goncalo R; Ahmadi, Kourosh R; Boomsma, Dorret I; Caulfield, Mark; Cookson, William O; van Duijn, Cornelia M; Froguel, Philippe; Matsuda, Koichi; McCarthy, Mark I; Meisinger, Christa; Mooser, Vincent; Pietiläinen, Kirsi H; Schumann, Gunter; Snieder, Harold; Sternberg, Michael J E; Stolk, Ronald P; Thomas, Howard C; Thorsteinsdottir, Unnur; Uda, Manuela; Waeber, Gérard; Wareham, Nicholas J; Waterworth, Dawn M; Watkins, Hugh; Whitfield, John B; Witteman, Jacqueline C M; Wolffenbuttel, Bruce H R; Fox, Caroline S; Ala-Korpela, Mika; Stefansson, Kari; Vollenweider, Peter; Völzke, Henry; Schadt, Eric E; Scott, James; Järvelin, Marjo-Riitta; Elliott, Paul; Kooner, Jaspal S

    2011-01-01

    Concentrations of liver enzymes in plasma are widely used as indicators of liver disease. We carried out a genome-wide association study in 61,089 individuals, identifying 42 loci associated with concentrations of liver enzymes in plasma, of which 32 are new associations (P = 10(-8) to P = 10(-190))

  5. Enhancing genomic prediction with genome-wide association studies in multiparental maize populations

    Science.gov (United States)

    Genome-wide association mapping using dense marker sets has identified some nucleotide variants affecting complex traits which have been validated with fine-mapping and functional analysis. Many sequence variants associated with complex traits in maize have small effects and low repeatability, howev...

  6. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

    DEFF Research Database (Denmark)

    O'Dushlaine, Colm; Rossin, Lizzy; Lee, Phil H.

    2015-01-01

    Genome-wide association studies (GWAS) of psychiatric disorders have identified multiple genetic associations with such disorders, but better methods are needed to derive the underlying biological mechanisms that these signals indicate. We sought to identify biological pathways in GWAS data from ...

  7. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

    NARCIS (Netherlands)

    O'Dushlaine, Colm; Rossin, Lizzy; Lee, Phil H.; Duncan, Laramie; Parikshak, Neelroop N.; Newhouse, Stephen; Ripke, Stephan; Neale, Benjamin M.; Purcell, Shaun M.; Posthuma, Danielle; Nurnberger, John I.; Lee, S. Hong; Faraone, Stephen V.; Perlis, Roy H.; Mowry, Bryan J.; Thapar, Anita; Goddard, Michael E.; Witte, John S.; Absher, Devin; Agartz, Ingrid; Akil, Huda; Amin, Farooq; Andreassen, Ole A.; Anjorin, Adebayo; Anney, Richard; Anttila, Verneri; Arking, Dan E.; Asherson, Philip; Azevedo, Maria H.; Backlund, Lena; Badner, Judith A.; Bailey, Anthony J.; Banaschewski, Tobias; Barchas, Jack D.; Barnes, Michael R.; Barrett, Thomas B.; Bass, Nicholas; Battaglia, Agatino; Bauer, Michael; Bayes, Monica; Bellivier, Frank; Bergen, Sarah E.; Berrettini, Wade; Betancur, Catalina; Bettecken, Thomas; Biederman, Joseph; Binder, Elisabeth B.; Black, Donald W.; Blackwood, Douglas H. R.; Bloss, Cinnamon S.; Boehnke, Michael; Boomsma, Dorret I.; Breuer, Rene; Bruggeman, Richard; Cormican, Paul; Buccola, Nancy G.; Buitelaar, Jan K.; Bunney, William E.; Buxbaum, Joseph D.; Byerley, William F.; Byrne, Enda M.; Caesar, Sian; Cahn, Wiepke; Cantor, Rita M.; Casas, Miguel; Chakravarti, Aravinda; Chambert, Kimberly; Choudhury, Khalid; Cichon, Sven; Mattheisen, Manuel; Cloninger, C. Robert; Collier, David A.; Cook, Edwin H.; Coon, Hilary; Cormand, Bru; Corvin, Aiden; Coryell, William H.; Craig, David W.; Craig, Ian W.; Crosbie, Jennifer; Cuccaro, Michael L.; Curtis, David; Czamara, Darina; Datta, Susmita; Dawson, Geraldine; Day, Richard; De Geus, Eco J.; Degenhardt, Franziska; Djurovic, Srdjan; Donohoe, Gary J.; Doyle, Alysa E.; Duan, Jubao; Dudbridge, Frank; Duketis, Eftichia; Ebstein, Richard P.; Edenberg, Howard J.; Elia, Josephine; Ennis, Sean; Etain, Bruno; Fanous, Ayman; Farmer, Anne E.; Ferrier, I. Nicol; Flicldnger, Matthew; Fombonne, Eric; Foroud, Tatiana; Frank, Josef; Franke, Barbara; Fraser, Christine; Freedman, Robert; Freimer, Nelson B.; Freitag, Christine M.; Friedl, Marion; Frisen, Louise; Gailagher, Louise; Gejman, Pablo V.; Georgieva, Lyudmila; Gershon, Elliot S.; Giegling, Ina; Gill, Michael; Gordon, Scott D.; Gordon-Smith, Katherine; Green, Elaine K.; Greenwood, Tiffany A.; Grice, Dorothy E.; Gross, Magdalena; Grozeva, Detelina; Guan, Weihua; Gurling, Hugh; De Haan, Lieuwe; Haines, Jonathan L.; Hakonarson, Hakon; Hallmayer, Joachim; Hamilton, Steven P.; Hamshere, Marian L.; Hansen, Thomas F.; Hartmann, Annette M.; Hautzinger, Martin; Heath, Andrew C.; Henders, Anjali K.; Herms, Stefan; Hickie, Ian B.; Hipolito, Maria; Hoefels, Susanne; Holsboer, Florian; Hoogendijk, Witte J.; Hottenga, Jouke-Jan; Hultman, Christina M.; Hus, Vanessa; Ingason, Andres; Ising, Marcus; Jamain, Stephane; Jones, Edward G.; Jones, Ian; Jones, Lisa; Tzeng, Jung-Ying; Kaehler, Anna K.; Kahn, Rene S.; Kandaswamy, Radhika; Keller, Matthew C.; Kennedy, James L.; Kenny, Elaine; Kent, Lindsey; Kim, Yunjung; Kirov, George K.; Klauck, Sabine M.; Klei, Lambertus; Knowles, James A.; Kohli, Martin A.; Koller, Daniel L.; Konte, Bettina; Korszun, Ania; Krabbendam, Lydia; Krasucki, Robert; Kuntsi, Jonna; Kwan, Phoenix; Landen, Mikael; Laengstroem, Niklas; Lathrop, Mark; Lawrence, Jacob; Lawson, William B.; Leboyer, Marion; Ledbetter, David H.; Lencz, Todd; Lesch, Klaus-Peter; Levinson, Douglas F.; Lewis, Cathryn M.; Li, Jun; Lichtenstein, Paul; Lieberman, Jeffrey A.; Lin, Dan-Yu; Linszen, Don H.; Liu, Chunyu; Lohoff, Falk W.; Loo, Sandra K.; Lord, Catherine; Lowe, Jennifer K.; Lucae, Susanne; MacIntyre, Donald J.; Madden, Pamela A. F.; Maestrini, Elena; Magnusson, Patrik K. E.; Mahon, Pamela B.; Maier, Wolfgang; Malhotra, Anil K.; Mane, Shrikant M.; Martin, Christa L.; Martin, Nicholas G.; Matthews, Keith; Mattingsdal, Morten; McCarroll, Steven A.; McGhee, Kevin A.; McGough, James J.; McGrath, Patrick J.; McGuffin, Peter; McInnis, Melvin G.; McIntosh, Andrew; McKinney, Rebecca; McLean, Alan W.; McMahon, Francis J.; McMahon, William M.; McQuillin, Andrew; Medeiros, Helena; Medland, Sarah E.; Meier, Sandra; Melle, Ingrid; Meng, Fan; Meyer, Jobst; Middeldorp, Christel M.; Middleton, Lefkos; Milanova, Vihra; Miranda, Ana; Monaco, Anthony P.; Montgomery, Grant W.; Moran, Jennifer L.; Moreno-De-Luca, Daniel; Morken, Gunnar; Morris, Derek W.; Morrow, Eric M.; Moskvina, Valentina; Muglia, Pierandrea; Muehleisen, Thomas W.; Muir, Walter J.; Mueller-Myhsok, Bertram; Murtha, Michael; Myers, Richard M.; Myin-Germeys, Inez; Neale, Michael C.; Nelson, Stan F.; Nievergelt, Caroline M.; Nikolov, Ivan; Nimgaonkar, Vishwajit; Nolen, Willem A.; Noethen, Markus M.; Nwulia, Evaristus A.; Nyholt, Dale R.; Oades, Robert D.; Olincy, Ann; Oliveira, Guiomar; Olsen, Line; Ophoff, Roel A.; Osby, Urban; Owen, Michael J.; Palotie, Aarno; Parr, Jeremy R.; Paterson, Andrew D.; Pato, Carlos N.; Pato, Michele T.; Penninx, Brenda W.; Pergadia, Michele L.; Pericak-Vance, Margaret A.; Pickard, Benjamin S.; Pimm, Jonathan; Piven, Joseph; Potash, James B.; Poustka, Fritz; Propping, Peter; Puri, Vinay; Quested, Digby J.; Quinn, Emma M.; Ramos-Quiroga, Josep Antoni; Rasmussen, Henrik B.; Raychaudhuri, Soumya; Rehnstroem, Karola; Reif, Andreas; Ribases, Marta; Rice, John P.; Rietschel, Marcella; Roeder, Kathryn; Roeyers, Herbert; Rothenberger, Aribert; Rouleau, Guy; Ruderfer, Douglas; Rujescu, Dan; Sanders, Alan R.; Sanders, Stephan J.; Santangelo, Susan L.; Sergeant, Joseph A.; Schachar, Russell; Schalling, Martin; Schatzberg, Alan F.; Scheftner, William A.; Schellenberg, Gerard D.; Scherer, Stephen W.; Schork, Nicholas J.; Schulze, Thomas G.; Schumacher, Johannes; Schwarz, Markus; Scolnick, Edward; Scott, Laura J.; Shi, Jianxin; Shilling, Paul D.; Shyn, Stanley I.; Silverman, Jeremy M.; Slager, Susan L.; Smalley, Susan L.; Smit, Johannes H.; Smith, Erin N.; Sonuga-Barke, Edmund J. S.; Cair, David St.; State, Matthew; Steffens, Michael; Steinhausen, Hans-Christoph; Strauss, John S.; Strohmaier, Jana; Stroup, T. Scott; Sutdiffe, James S.; Szatmari, Peter; Szelinger, Szabocls; Thirumalai, Srinivasa; Thompson, Robert C.; Todorov, Alexandre A.; Tozzi, Federica; Treutlein, Jens; Uhr, Manfred; Van den Oord, Edwin J. C. G.; Van Grootheest, Gerard; Van Os, Jim; Vicente, Astrid M.; Vieland, Veronica J.; Vincent, John B.; Visscher, Peter M.; Walsh, Christopher A.; Wassink, Thomas H.; Watson, Stanley J.; Weissman, Myrna M.; Werge, Thomas; Wienker, Thomas F.; Wijsman, Ellen M.; Willemsen, Gonneke; Williams, Nigel; Willsey, A. Jeremy; Witt, Stephanie H.; Xu, Wei; Young, Allan H.; Yu, Timothy W.; Zammit, Stanley; Zandi, Peter P.; Zhang, Peng; Zitman, Frans G.; Zoellner, Sebastian; Devlin, Bernie; Kelsoe, John R.; Sklar, Pamela; Daly, Mark J.; O'Donovan, Michael C.; Craddock, Nicholas; Kendler, Kenneth S.; Weiss, Lauren A.; Wray, Naomi R.; Zhao, Zhaoming; Geschwind, Daniel H.; Sullivan, Patrick F.; Smoller, Jordan W.; Holmans, Peter A.; Breen, Gerome

    2015-01-01

    Genome-wide association studies (GWAS) of psychiatric disorders have identified multiple genetic associations with such disorders, but better methods are needed to derive the underlying biological mechanisms that these signals indicate. We sought to identify biological pathways in GWAS data from ove

  8. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

    NARCIS (Netherlands)

    Lee, S. Hong; Ripke, Stephan; Neale, Benjamin M.; Faraone, Stephen V.; Purcell, Shaun M.; Perlis, Roy H.; Mowry, Bryan J.; Thapar, Anita; Goddard, Michael E.; Witte, John S.; Absher, Devin; Agartz, Ingrid; Akil, Huda; Amin, Farooq; Andreassen, Ole A.; Anjorin, Adebayo; Anney, Richard; Anttila, Verneri; Arking, Dan E.; Asherson, Philip; Azevedo, Maria H.; Backlund, Lena; Badner, Judith A.; Bailey, Anthony J.; Banaschewski, Tobias; Barchas, Jack D.; Barnes, Michael R.; Barrett, Thomas B.; Bass, Nicholas; Battaglia, Agatino; Bauer, Michael; Bayes, Monica; Bellivier, Frank; Bergen, Sarah E.; Berrettini, Wade; Betancur, Catalina; Bettecken, Thomas; Biederman, Joseph; Binder, Elisabeth B.; Black, Donald W.; Blackwood, Douglas H. R.; Bloss, Cinnamon S.; Boehnke, Michael; Boomsma, Dorret I.; Breen, Gerome; Breuer, Rene; Bruggeman, Richard; Cormican, Paul; Buccola, Nancy G.; Buitelaar, Jan K.; Bunney, William E.; Buxbaum, Joseph D.; Byerley, William F.; Byrne, Enda M.; Caesar, Sian; Cahn, Wiepke; Cantor, Rita M.; Casas, Miguel; Chakravarti, Aravinda; Chambert, Kimberly; Choudhury, Khalid; Cichon, Sven; Cloninger, C. Robert; Collier, David A.; Cook, Edwin H.; Coon, Hilary; Cormand, Bru; Corvin, Aiden; Coryell, William H.; Craig, David W.; Craig, Ian W.; Crosbie, Jennifer; Cuccaro, Michael L.; Curtis, David; Czamara, Darina; Datta, Susmita; Dawson, Geraldine; Day, Richard; De Geus, Eco J.; Degenhardt, Franziska; Djurovic, Srdjan; Donohoe, Gary J.; Doyle, Alysa E.; Duan, Jubao; Dudbridge, Frank; Duketis, Eftichia; Ebstein, Richard P.; Edenberg, Howard J.; Elia, Josephine; Ennis, Sean; Etain, Bruno; Fanous, Ayman; Farmer, Anne E.; Ferrier, I. Nicol; Flickinger, Matthew; Fombonne, Eric; Foroud, Tatiana; Frank, Josef; Franke, Barbara; Fraser, Christine; Freedman, Robert; Freimer, Nelson B.; Freitag, Christine M.; Friedl, Marion; Frisen, Louise; Gallagher, Louise; Gejman, Pablo V.; Georgieva, Lyudmila; Gershon, Elliot S.; Geschwind, Daniel H.; Giegling, Ina; Gill, Michael; Gordon, Scott D.; Gordon-Smith, Katherine; Green, Elaine K.; Greenwood, Tiffany A.; Grice, Dorothy E.; Gross, Magdalena; Grozeva, Detelina; Guan, Weihua; Gurling, Hugh; De Haan, Lieuwe; Haines, Jonathan L.; Hakonarson, Hakon; Hallmayer, Joachim; Hamilton, Steven P.; Hamshere, Marian L.; Hansen, Thomas F.; Hartmann, Annette M.; Hautzinger, Martin; Heath, Andrew C.; Henders, Anjali K.; Herms, Stefan; Hickie, Ian B.; Hipolito, Maria; Hoefels, Susanne; Holmans, Peter A.; Holsboer, Florian; Hoogendijk, Witte J.; Hottenga, Jouke-Jan; Hultman, Christina M.; Hus, Vanessa; Ingason, Andres; Ising, Marcus; Jamain, Stephane; Jones, Edward G.; Jones, Ian; Jones, Lisa; Tzeng, Jung-Ying; Kaehler, Anna K.; Kahn, Rene S.; Kandaswamy, Radhika; Keller, Matthew C.; Kennedy, James L.; Kenny, Elaine; Kent, Lindsey; Kim, Yunjung; Kirov, George K.; Klauck, Sabine M.; Klei, Lambertus; Knowles, James A.; Kohli, Martin A.; Koller, Daniel L.; Konte, Bettina; Korszun, Ania; Krabbendam, Lydia; Krasucki, Robert; Kuntsi, Jonna; Kwan, Phoenix; Landen, Mikael; Langstrom, Niklas; Lathrop, Mark; Lawrence, Jacob; Lawson, William B.; Leboyer, Marion; Ledbetter, David H.; Lee, Phil H.; Lencz, Todd; Lesch, Klaus-Peter; Levinson, Douglas F.; Lewis, Cathryn M.; Li, Jun; Lichtenstein, Paul; Lieberman, Jeffrey A.; Lin, Dan-Yu; Linszen, Don H.; Liu, Chunyu; Lohoff, Falk W.; Loo, Sandra K.; Lord, Catherine; Lowe, Jennifer K.; Lucae, Susanne; MacIntyre, Donald J.; Madden, Pamela A. F.; Maestrini, Elena; Magnusson, Patrik K. E.; Mahon, Pamela B.; Maier, Wolfgang; Malhotra, Anil K.; Mane, Shrikant M.; Martin, Christa L.; Martin, Nicholas G.; Mattheisen, Manuel; Matthews, Keith; Mattingsdal, Morten; McCarroll, Steven A.; McGhee, Kevin A.; McGough, James J.; McGrath, Patrick J.; McGuffin, Peter; McInnis, Melvin G.; McIntosh, Andrew; McKinney, Rebecca; McLean, Alan W.; McMahon, Francis J.; McMahon, William M.; McQuillin, Andrew; Medeiros, Helena; Medland, Sarah E.; Meier, Sandra; Melle, Ingrid; Meng, Fan; Meyer, Jobst; Middeldorp, Christel M.; Middleton, Lefkos; Milanova, Vihra; Miranda, Ana; Monaco, Anthony P.; Montgomery, Grant W.; Moran, Jennifer L.; Moreno-De-Luca, Daniel; Morken, Gunnar; Morris, Derek W.; Morrow, Eric M.; Moskvina, Valentina; Muglia, Pierandrea; Muehleisen, Thomas W.; Muir, Walter J.; Mueller-Myhsok, Bertram; Murtha, Michael; Myers, Richard M.; Myin-Germeys, Inez; Neale, Michael C.; Nelson, Stan F.; Nievergelt, Caroline M.; Nikolov, Ivan; Nimgaonkar, Vishwajit; Nolen, Willem A.; Noethen, Markus M.; Nurnberger, John I.; Nwulia, Evaristus A.; Nyholt, Dale R.; O'Dushlaine, Colm; Oades, Robert D.; Olincy, Ann; Oliveira, Guiomar; Olsen, Line; Ophoff, Roel A.; Osby, Urban; Owen, Michael J.; Palotie, Aarno; Parr, Jeremy R.; Paterson, Andrew D.; Pato, Carlos N.; Pato, Michele T.; Penninx, Brenda W.; Pergadia, Michele L.; Pericak-Vance, Margaret A.; Pickard, Benjamin S.; Pimm, Jonathan; Piven, Joseph; Posthuma, Danielle; Potash, James B.; Poustka, Fritz; Propping, Peter; Puri, Vinay; Quested, Digby J.; Quinn, Emma M.; Antoni Ramos-Quiroga, Josep; Rasmussen, Henrik B.; Raychaudhuri, Soumya; Rehnstroem, Karola; Reif, Andreas; Ribases, Marta; Rice, John P.; Rietschel, Marcella; Roeder, Kathryn; Roeyers, Herbert; Rossin, Lizzy; Rothenberger, Aribert; Rouleau, Guy; Ruderfer, Douglas; Rujescu, Dan; Sanders, Alan R.; Sanders, Stephan J.; Santangelo, Susan L.; Sergeant, Joseph A.; Schachar, Russell; Schalling, Martin; Schatzberg, Alan F.; Scheftner, William A.; Schellenberg, Gerard D.; Scherer, Stephen W.; Schork, Nicholas J.; Schulze, Thomas G.; Schumacher, Johannes; Schwarz, Markus; Scolnick, Edward; Scott, Laura J.; Shi, Jianxin; Shilling, Paul D.; Shyn, Stanley I.; Silverman, Jeremy M.; Slager, Susan L.; Smalley, Susan L.; Smit, Johannes H.; Smith, Erin N.; Sonuga-Barke, Edmund J. S.; St Clair, David; State, Matthew; Steffens, Michael; Steinhausen, Hans-Christoph; Strauss, John S.; Strohmaier, Jana; Stroup, T. Scott; Sutcliffe, James S.; Szatmari, Peter; Szelinger, Szabocls; Thirumalai, Srinivasa; Thompson, Robert C.; Todorov, Alexandre A.; Tozzi, Federica; Treutlein, Jens; Uhr, Manfred; van den Oord, Edwin J. C. G.; Van Grootheest, Gerard; Van Os, Jim; Vicente, Astrid M.; Vieland, Veronica J.; Vincent, John B.; Visscher, Peter M.; Walsh, Christopher A.; Wassink, Thomas H.; Watson, Stanley J.; Weissman, Myrna M.; Werge, Thomas; Wienker, Thomas F.; Wijsman, Ellen M.; Willemsen, Gonneke; Williams, Nigel; Willsey, A. Jeremy; Witt, Stephanie H.; Xu, Wei; Young, Allan H.; Yu, Timothy W.; Zammit, Stanley; Zandi, Peter P.; Zhang, Peng; Zitman, Frans G.; Zoellner, Sebastian; Devlin, Bernie; Kelsoe, John R.; Sklar, Pamela; Daly, Mark J.; O'Donovan, Michael C.; Craddock, Nicholas; Sullivan, Patrick F.; Smoller, Jordan W.; Kendler, Kenneth S.; Wray, Naomi R.

    2013-01-01

    Most psychiatric disorders are moderately to highly heritable. The degree to which genetic variation is unique to individual disorders or shared across disorders is unclear. To examine shared genetic etiology, we use genome-wide genotype data from the Psychiatric Genomics Consortium (PGC) for cases

  9. Genome-wide association study meta-analysis identifies seven new rheumatoid arthritis risk loci

    NARCIS (Netherlands)

    Stahl, Eli A.; Raychaudhuri, Soumya; Remmers, Elaine F.; Xie, Gang; Eyre, Stephen; Thomson, Brian P.; Li, Yonghong; Kurreeman, Fina A. S.; Zhernakova, Alexandra; Hinks, Anne; Guiducci, Candace; Chen, Robert; Alfredsson, Lars; Amos, Christopher I.; Ardlie, Kristin G.; Barton, Anne; Bowes, John; Brouwer, Elisabeth; Burtt, Noel P.; Catanese, Joseph J.; Coblyn, Jonathan; Coenen, Marieke J. H.; Costenbader, Karen H.; Criswell, Lindsey A.; Crusius, J. Bart A.; Cui, Jing; de Bakker, Paul I. W.; De Jager, Philip L.; Ding, Bo; Emery, Paul; Flynn, Edward; Harrison, Pille; Hocking, Lynne J.; Huizinga, Tom W. J.; Kastner, Daniel L.; Ke, Xiayi; Lee, Annette T.; Liu, Xiangdong; Martin, Paul; Morgan, Ann W.; Padyukov, Leonid; Posthumus, Marcel D.; Radstake, Timothy R. D. J.; Reid, David M.; Seielstad, Mark; Seldin, Michael F.; Shadick, Nancy A.; Steer, Sophia; Tak, Paul P.; Thomson, Wendy; van der Helm-van Mil, Annette H. M.; van der Horst-Bruinsma, Irene E.; van der Schoot, C. Ellen; van Riel, Piet L. C. M.; Weinblatt, Michael E.; Wilson, Anthony G.; Wolbink, Gert Jan; Wordsworth, B. Paul; Wijmenga, Cisca; Karlson, Elizabeth W.; Toes, Rene E. M.; de Vries, Niek; Begovich, Ann B.; Worthington, Jane; Siminovitch, Katherine A.; Gregersen, Peter K.; Klareskog, Lars; Plenge, Robert M.

    2010-01-01

    To identify new genetic risk factors for rheumatoid arthritis, we conducted a genome-wide association study meta-analysis of 5,539 autoantibody-positive individuals with rheumatoid arthritis (cases) and 20,169 controls of European descent, followed by replication in an independent set of 6,768 rheum

  10. Genome-wide association study identifies 74 loci associated with educational attainment

    NARCIS (Netherlands)

    Okbay, Aysu; Beauchamp, Jonathan P.; Fontana, Mark Alan; Lee, James J.; Pers, Tune H.; Rietveld, Cornelius A.; Turley, Patrick; Chen, Guo-Bo; Emilsson, Valur; Meddens, S. Fleur W.; Oskarsson, Sven; Pickrell, Joseph K.; Thom, Kevin; Timshel, Pascal; de Vlaming, Ronald; Abdellaoui, Abdel; Ahluwalia, Tarunveer S.; Bacelis, Jonas; Baumbach, Clemens; Bjornsdottir, Gyda; Brandsma, Johannes H.; Concas, Maria Pina; Derringer, Jaime; Furlotte, Nicholas A.; Galesloot, Tessel E.; Girotto, Giorgia; Gupta, Richa; Hall, Leanne M.; Harris, Sarah E.; Hofer, Edith; Horikoshi, Momoko; Huffman, Jennifer E.; Kaasik, Kadri; Kalafati, Ioanna P.; Karlsson, Robert; Kong, Augustine; Lahti, Jari; van der Lee, Sven J.; de Leeuw, Christiaan; Lind, Penelope A.; Lindgren, Karl-Oskar; Liu, Tian; Mangino, Massimo; Marten, Jonathan; Mihailov, Evelin; Miller, Michael B.; van der Most, Peter J.; Oldmeadow, Christopher; Payton, Antony; Pervjakova, Natalia; Peyrot, Wouter J.; Qian, Yong; Raitakari, Olli; Rueedi, Rico; Salvi, Erika; Schmidt, Brge; Schraut, Katharina E.; Shi, Jianxin; Smith, Albert V.; Poot, Raymond A.; St Pourcain, Beate; Teumer, Alexander; Thorleifsson, Gudmar; Verweij, Niek; Vuckovic, Dragana; Wellmann, Juergen; Westra, Harm-Jan; Yang, Jingyun; Zhao, Wei; Zhu, Zhihong; Alizadeh, Behrooz Z.; Amin, Najaf; Bakshi, Andrew; Baumeister, Sebastian E.; Biino, Ginevra; Bonnelykke, Klaus; Boyle, Patricia A.; Campbell, Harry; Cappuccio, Francesco P.; Davies, Gail; De Neve, Jan-Emmanuel; Deloukas, Panos; Demuth, Ilja; Ding, Jun; Eibich, Peter; Eisele, Lewin; Eklund, Niina; Evans, David M.; Faul, Jessica D.; Feitosa, Mary F.; Forstner, Andreas J.; Gandin, Ilaria; Gunnarsson, Bjarni; Halldorsson, Bjarni V.; Harris, Tamara B.; Heath, Andrew C.; Hocking, Lynne J.; Holliday, Elizabeth G.; Homuth, Georg; Horan, Michael A.; Hottenga, Jouke-Jan; de Jager, Philip L.; Joshi, Peter K.; Jugessur, Astanand; Kaakinen, Marika A.; Kahonen, Mika; Kanoni, Stavroula; Keltigangas-Jarvinen, Liisa; Kiemeney, Lambertus A. L. M.; Kolcic, Ivana; Koskinen, Seppo; Kraja, Aldi T.; Kroh, Martin; Kutalik, Zoltan; Latvala, Antti; Launer, Lenore J.; Lebreton, Mael P.; Levinson, Douglas F.; Lichtenstein, Paul; Lichtner, Peter; Liewald, David C. M.; Loukola, Anu; Madden, Pamela A.; Magi, Reedik; Maki-Opas, Tomi; Marioni, Riccardo E.; Marques-Vidal, Pedro; Meddens, Gerardus A.; McMahon, George; Meisinger, Christa; Meitinger, Thomas; Milaneschi, Yusplitri; Milani, Lili; Montgomery, Grant W.; Myhre, Ronny; Nelson, Christopher P.; Nyholt, Dale R.; Ollier, William E. R.; Palotie, Aarno; Paternoster, Lavinia; Pedersen, Nancy L.; Petrovic, Katja E.; Porteous, David J.; Raikkonen, Katri; Ring, Susan M.; Robino, Antonietta; Rostapshova, Olga; Rudan, Igor; Rustichini, Aldo; Salomaa, Veikko; Sanders, Alan R.; Sarin, Antti-Pekka; Schmidt, Helena; Scott, Rodney J.; Smith, Blair H.; Smith, Jennifer A.; Staessen, Jan A.; Steinhagen-Thiessen, Elisabeth; Strauch, Konstantin; Terracciano, Antonio; Tobin, Martin D.; Ulivi, Sheila; Vaccargiu, Simona; Quaye, Lydia; van Rooij, Frank J. A.; Venturini, Cristina; Vinkhuyzen, Anna A. E.; Volker, Uwe; Volzke, Henry; Vonk, Judith M.; Waage, Johannes; Ware, Erin B.; Willemsen, Gonneke; Attia, John R.; Bennett, David A.; Berger, Klaus; Bertram, Lars; Bisgaard, Hans; Boomsma, Dorret I.; Borecki, Ingrid B.; Bultmann, Ute; Chabris, Christopher F.; Cucca, Francesco; Cusi, Daniele; Deary, Ian J.; Dedoussis, George V.; van Duijn, Cornelia M.; Eriksson, Johan G.; Franke, Barbara; Franke, Lude; Gasparini, Paolo; Gejman, Pablo V.; Gieger, Christian; Grabe, Hans-Jorgen; Gratten, Jacob; Groenen, Patrick J. F.; Gudnason, Vilmundur; van der Harst, Pim; Hayward, Caroline; Hinds, David A.; Hoffmann, Wolfgang; Hyppnen, Elina; Iacono, William G.; Jacobsson, Bo; Jarvelin, Marjo-Riitta; Jockel, Karl-Heinz; Kaprio, Jaakko; Kardia, Sharon L. R.; Lehtimaki, Terho; Lehrer, Steven F.; Magnusson, Patrik K. E.; Martin, Nicholas G.; McGue, Matt; Metspalu, Andres; Pendleton, Neil; Penninx, Brenda W. J. H.; Perola, Markus; Pirastu, Nicola; Pirastu, Mario; Polasek, Ozren; Posthuma, Danielle; Power, Christine; Province, Michael A.; Samani, Nilesh J.; Schlessinger, David; Schmidt, Reinhold; Sorensen, Thorkild I. A.; Spector, Tim D.; Stefansson, Kari; Thorsteinsdottir, Unnur; Thurik, A. Roy; Timpson, Nicholas J.; Tiemeier, Henning; Tung, Joyce Y.; Uitterlinden, Andre G.; Vitart, Veronique; Vollenweider, Peter; Weir, David R.; Wilson, James F.; Wright, Alan F.; Conley, Dalton C.; Krueger, Robert F.; Smith, George Davey; Hofman, Albert; Laibson, David I.; Medland, Sarah E.; Meyer, Michelle N.; Yang, Jian; Johannesson, Magnus; Visscher, Peter M.; Esko, Tonu; Koellinger, Philipp D.; Cesarini, David; Benjamin, Daniel J.

    2016-01-01

    Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals(1). Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends

  11. Genome-wide meta-analysis identifies new susceptibility loci for migraine

    NARCIS (Netherlands)

    Anttila, Verneri; Winsvold, Bendik S.; Gormley, Padhraig; Kurth, Tobias; Bettella, Francesco; McMahon, George; Kallela, Mikko; Malik, Rainer; de Vries, Boukje; Terwindt, Gisela; Medland, Sarah E.; Todt, Unda; McArdle, Wendy L.; Quaye, Lydia; Koiranen, Markku; Ikram, M. Arfan; Lehtimaki, Terho; Stam, Anine H.; Ligthart, Lannie; Wedenoja, Juho; Dunham, Ian; Neale, Benjamin M.; Palta, Priit; Hamalainen, Eija; Schuerks, Markus; Rose, Lynda M.; Buring, Julie E.; Ridker, Paul M.; Steinberg, Stacy; Stefansson, Hreinn; Jakobsson, Finnbogi; Lawlor, Debbie A.; Evans, David M.; Ring, Susan M.; Farkkila, Markus; Artto, Ville; Kaunisto, Mari A.; Freilinger, Tobias; Schoenen, Jean; Frants, Rune R.; Pelzer, Nadine; Weller, Claudia M.; Zielman, Ronald; Heath, Andrew C.; Madden, Pamela A. F.; Montgomery, Grant W.; Martin, Nicholas G.; Borck, Guntram; Goebel, Hartmut; Heinze, Axel; Heinze-Kuhn, Katja; Williams, Frances M. K.; Hartikainen, Anna-Liisa; Pouta, Anneli; van den Ende, Joyce; Uitterlinden, Andre G.; Hofman, Albert; Amin, Najaf; Hottenga, Jouke-Jan; Vink, Jacqueline M.; Heikkila, Kauko; Alexander, Michael; Muller-Myhsok, Bertram; Schreiber, Stefan; Meitinger, Thomas; Wichmann, Heinz Erich; Aromaa, Arpo; Eriksson, Johan G.; Traynor, Bryan J.; Trabzuni, Daniah; Rossin, Elizabeth; Lage, Kasper; Jacobs, Suzanne B. R.; Gibbs, J. Raphael; Birney, Ewan; Kaprio, Jaakko; Penninx, Brenda W.; Boomsma, Dorret I.; van Duijn, Cornelia; Raitakari, Olli; Jarvelin, Marjo-Riitta; Zwart, John-Anker; Cherkas, Lynn; Strachan, David P.; Kubisch, Christian; Ferrari, Michel D.; van den Maagdenberg, Arn M. J. M.; Dichgans, Martin; Wessman, Maija; Smith, George Davey; Stefansson, Kari; Daly, Mark J.; Nyholt, Dale R.; Chasman, Daniel I.; Palotie, Aarno

    2013-01-01

    Migraine is the most common brain disorder, affecting approximately 14% of the adult population, but its molecular mechanisms are poorly understood. We report the results of a meta-analysis across 29 genome-wide association studies, including a total of 23,285 individuals with migraine (cases) and 9

  12. Genome-wide association analyses identify 18 new loci associated with serum urate concentrations

    NARCIS (Netherlands)

    Köttgen, Anna; Albrecht, Eva; Teumer, Alexander; Vitart, Veronique; Krumsiek, Jan; Hundertmark, Claudia; Pistis, Giorgio; Ruggiero, Daniela; O'Seaghdha, Conall M; Haller, Toomas; Yang, Qiong; Tanaka, Toshiko; Johnson, Andrew D; Kutalik, Zoltán; Smith, Albert V; Shi, Julia; Struchalin, Maksim; Middelberg, Rita P S; Brown, Morris J; Gaffo, Angelo L; Pirastu, Nicola; Li, Guo; Hayward, Caroline; Zemunik, Tatijana; Huffman, Jennifer; Yengo, Loic; Zhao, Jing Hua; Demirkan, Ayse; Feitosa, Mary F; Liu, Xuan; Malerba, Giovanni; Lopez, Lorna M; van der Harst, Pim; Li, Xinzhong; Kleber, Marcus E; Hicks, Andrew A; Nolte, Ilja M; Johansson, Asa; Murgia, Federico; Wild, Sarah H; Bakker, Stephan J L; Peden, John F; Dehghan, Abbas; Steri, Maristella; Tenesa, Albert; Lagou, Vasiliki; Salo, Perttu; Mangino, Massimo; Rose, Lynda M; Lehtimäki, Terho; Woodward, Owen M; Okada, Yukinori; Tin, Adrienne; Müller, Christian; Oldmeadow, Christopher; Putku, Margus; Czamara, Darina; Kraft, Peter; Frogheri, Laura; Thun, Gian Andri; Grotevendt, Anne; Gislason, Gauti Kjartan; Harris, Tamara B; Launer, Lenore J; McArdle, Patrick; Shuldiner, Alan R; Boerwinkle, Eric; Coresh, Josef; Schmidt, Helena; Schallert, Michael; Martin, Nicholas G; Montgomery, Grant W; Kubo, Michiaki; Nakamura, Yusuke; Tanaka, Toshihiro; Munroe, Patricia B; Samani, Nilesh J; Jacobs, David R; Liu, Kiang; D'Adamo, Pio; Ulivi, Sheila; Rotter, Jerome I; Psaty, Bruce M; Vollenweider, Peter; Waeber, Gerard; Campbell, Susan; Devuyst, Olivier; Navarro, Pau; Kolcic, Ivana; Hastie, Nicholas; Balkau, Beverley; Froguel, Philippe; Esko, Tõnu; Salumets, Andres; Khaw, Kay Tee; Langenberg, Claudia; Wareham, Nicholas J; Isaacs, Aaron; Kraja, Aldi; Zhang, Qunyuan; Wild, Philipp S; Scott, Rodney J; Holliday, Elizabeth G; Org, Elin; Viigimaa, Margus; Bandinelli, Stefania; Metter, Jeffrey E; Lupo, Antonio; Trabetti, Elisabetta; Sorice, Rossella; Döring, Angela; Lattka, Eva; Strauch, Konstantin; Theis, Fabian; Waldenberger, Melanie; Wichmann, H-Erich; Davies, Gail; Gow, Alan J; Bruinenberg, Marcel; Stolk, Ronald P; Kooner, Jaspal S; Zhang, Weihua; Winkelmann, Bernhard R; Boehm, Bernhard O; Lucae, Susanne; Penninx, Brenda W; Smit, Johannes H; Curhan, Gary; Mudgal, Poorva; Plenge, Robert M; Portas, Laura; Persico, Ivana; Kirin, Mirna; Wilson, James F; Mateo Leach, Irene; van Gilst, Wiek H; Goel, Anuj; Ongen, Halit; Hofman, Albert; Rivadeneira, Fernando; Uitterlinden, Andre G; Imboden, Medea; von Eckardstein, Arnold; Cucca, Francesco; Nagaraja, Ramaiah; Piras, Maria Grazia; Nauck, Matthias; Schurmann, Claudia; Budde, Kathrin; Ernst, Florian; Farrington, Susan M; Theodoratou, Evropi; Prokopenko, Inga; Stumvoll, Michael; Jula, Antti; Perola, Markus; Salomaa, Veikko; Shin, So-Youn; Spector, Tim D; Sala, Cinzia; Ridker, Paul M; Kähönen, Mika; Viikari, Jorma; Hengstenberg, Christian; Nelson, Christopher P; Meschia, James F; Nalls, Michael A; Sharma, Pankaj; Singleton, Andrew B; Kamatani, Naoyuki; Zeller, Tanja; Burnier, Michel; Attia, John; Laan, Maris; Klopp, Norman; Hillege, Hans L; Kloiber, Stefan; Choi, Hyon; Pirastu, Mario; Tore, Silvia; Probst-Hensch, Nicole M; Völzke, Henry; Gudnason, Vilmundur; Parsa, Afshin; Schmidt, Reinhold; Whitfield, John B; Fornage, Myriam; Gasparini, Paolo; Siscovick, David S; Polašek, Ozren; Campbell, Harry; Rudan, Igor; Bouatia-Naji, Nabila; Metspalu, Andres; Loos, Ruth J F; van Duijn, Cornelia M; Borecki, Ingrid B; Ferrucci, Luigi; Gambaro, Giovanni; Deary, Ian J; Wolffenbuttel, Bruce H R; Chambers, John C; März, Winfried; Pramstaller, Peter P; Snieder, Harold; Gyllensten, Ulf; Wright, Alan F; Navis, Gerjan; Watkins, Hugh; Witteman, Jacqueline C M; Sanna, Serena; Schipf, Sabine; Dunlop, Malcolm G; Tönjes, Anke; Ripatti, Samuli; Soranzo, Nicole; Toniolo, Daniela; Chasman, Daniel I; Raitakari, Olli; Kao, W H Linda; Ciullo, Marina; Fox, Caroline S; Caulfield, Mark; Bochud, Murielle; Gieger, Christian

    2013-01-01

    Elevated serum urate concentrations can cause gout, a prevalent and painful inflammatory arthritis. By combining data from >140,000 individuals of European ancestry within the Global Urate Genetics Consortium (GUGC), we identified and replicated 28 genome-wide significant loci in association with se

  13. Novel loci associated with usual sleep duration: The CHARGE Consortium Genome-Wide Association Study

    NARCIS (Netherlands)

    Gottlieb, D.J.; Hek, K.; Chen, T.H.; Watson, N.F.; Eiriksdottir, G.; Byrne, E.M.; Cornelis, M.; Warby, S.C.; Bandinelli, S.; Cherkas, L.; Evans, D.S.; Grabe, H.J.; Lahti, J.; Li, M.; Lehtimaki, T.; Lumley, T.; Marciante, K.D.; Pérusse, L.; Psaty, B.M.; Robbins, J.; Tranah, G.J.; Vink, J.M.; Wilk, J.B.; Stafford, J.M.; Bellis, C.; Biffar, R.; Bouchard, C.; Cade, B.; Curhan, G.C.; Eriksson, J.G.; Ewert, R.; Ferrucci, L.; Fulop, T.; Gehrman, P.R.; Goodloe, R.; Harris, T.B.; Heath, A.C.; Hernandez, D.G.; Hofman, A.; Hottenga, J.J.; Hunter, D.J.; Jensen, M.K.; Johnson, A.D.; Kahonen, M.; Kao, L.; Kraft, P.; Larkin, E.K.; Lauderdale, D.S.; Luik, A.I.; Medici, M.; Montgomery, G.W.; Palotie, A.; Patel, S.R.; Pistis, G.; Porcu, E.; Quaye, L.; Raitakari, O.; Redline, S.; Rimm, E.B.; Rotter, J.I.; Smith, A.V.; Spector, T.D.; Teumer, A.; Uitterlinden, A.G.; Vohl, M.C.; Widen, E.; Willemsen, G.; Young, T.; Zhang, X.; Liu, Y.; Blangero, J.; Boomsma, D.I.; Gudnason, V.; Hu, F.; Mangino, M.; Martin, N.G.; O'Connor, G.T.; Stone, K.L.; Tanaka, T.; Viikari, J.; Gharib, S.A.; Punjabi, N.M.; Raikkonen, K.; Völzke, H.; Mignot, E.; Tiemeier, H.

    2015-01-01

    Usual sleep duration is a heritable trait correlated with psychiatric morbidity, cardiometabolic disease and mortality, although little is known about the genetic variants influencing this trait. A genome-wide association study (GWAS) of usual sleep duration was conducted using 18 population-based

  14. Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia

    NARCIS (Netherlands)

    Berndt, Sonja I; Camp, Nicola J; Skibola, Christine F; Vijai, Joseph; Wang, Zhaoming; Gu, Jian; Nieters, Alexandra; Kelly, Rachel S; Smedby, Karin E; Monnereau, Alain; Cozen, Wendy; Cox, Angela; Wang, Sophia S; Lan, Qing; Teras, Lauren R; Machado, Moara; Yeager, Meredith; Brooks-Wilson, Angela R; Hartge, Patricia; Purdue, Mark P; Birmann, Brenda M; Vajdic, Claire M; Cocco, Pierluigi; Zhang, Yawei; Giles, Graham G; Zeleniuch-Jacquotte, Anne; Lawrence, Charles; Montalvan, Rebecca; Burdett, Laurie; Hutchinson, Amy; Ye, Yuanqing; Call, Timothy G; Shanafelt, Tait D; Novak, Anne J; Kay, Neil E; Liebow, Mark; Cunningham, Julie M; Allmer, Cristine; Hjalgrim, Henrik; Adami, Hans-Olov; Melbye, Mads; Glimelius, Bengt; Chang, Ellen T; Glenn, Martha; Curtin, Karen; Cannon-Albright, Lisa A; Diver, W Ryan; Link, Brian K; Weiner, George J; Conde, Lucia; Bracci, Paige M; Riby, Jacques; Arnett, Donna K; Zhi, Degui; Leach, Justin M; Holly, Elizabeth A; Jackson, Rebecca D; Tinker, Lesley F; Benavente, Yolanda; Sala, Núria; Casabonne, Delphine; Becker, Nikolaus; Boffetta, Paolo; Brennan, Paul; Foretova, Lenka; Maynadie, Marc; McKay, James; Staines, Anthony; Chaffee, Kari G; Achenbach, Sara J; Vachon, Celine M; Goldin, Lynn R; Strom, Sara S; Leis, Jose F; Weinberg, J Brice; Caporaso, Neil E; Norman, Aaron D; De Roos, Anneclaire J; Morton, Lindsay M; Severson, Richard K; Riboli, Elio; Vineis, Paolo; Kaaks, Rudolph; Masala, Giovanna; Weiderpass, Elisabete; Chirlaque, María-Dolores; Vermeulen, Roel C H|info:eu-repo/dai/nl/216532620; Travis, Ruth C; Southey, Melissa C; Milne, Roger L; Albanes, Demetrius; Virtamo, Jarmo; Weinstein, Stephanie; Clavel, Jacqueline; Zheng, Tongzhang; Holford, Theodore R; Villano, Danylo J; Maria, Ann; Spinelli, John J; Gascoyne, Randy D; Connors, Joseph M; Bertrand, Kimberly A; Giovannucci, Edward; Kraft, Peter; Kricker, Anne; Turner, Jenny; Ennas, Maria Grazia; Ferri, Giovanni M; Miligi, Lucia; Liang, Liming; Ma, Baoshan; Huang, Jinyan; Crouch, Simon; Park, Ju-Hyun; Chatterjee, Nilanjan; North, Kari E; Snowden, John A; Wright, Josh; Fraumeni, Joseph F; Offit, Kenneth; Wu, Xifeng; de Sanjose, Silvia; Cerhan, James R; Chanock, Stephen J; Rothman, Nathaniel; Slager, Susan L

    2016-01-01

    Chronic lymphocytic leukemia (CLL) is a common lymphoid malignancy with strong heritability. To further understand the genetic susceptibility for CLL and identify common loci associated with risk, we conducted a meta-analysis of four genome-wide association studies (GWAS) composed of 3,100 cases and

  15. Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure

    NARCIS (Netherlands)

    Wain, Louise V.; Verwoert, Germaine C.; O'Reilly, Paul F.; Shi, Gang; Johnson, Toby; Johnson, Andrew D.; Bochud, Murielle; Rice, Kenneth M.; Henneman, Peter; Smith, Albert V.; Ehret, Georg B.; Amin, Najaf; Larson, Martin G.; Mooser, Vincent; Hadley, David; Doerr, Marcus; Bis, Joshua C.; Aspelund, Thor; Esko, Tonu; Janssens, A. Cecile J. W.; Zhao, Jing Hua; Heath, Simon; Laan, Maris; Fu, Jingyuan; Pistis, Giorgio; Luan, Jian'an; Arora, Pankaj; Lucas, Gavin; Pirastu, Nicola; Pichler, Irene; Jackson, Anne U.; Webster, Rebecca J.; Zhang, Feng; Peden, John F.; Schmidt, Helena; Tanaka, Toshiko; Campbell, Harry; Igl, Wilmar; Milaneschi, Yuri; Hottenga, Jouke-Jan; Vitart, Veronique; Chasman, Daniel I.; Trompet, Stella; Bragg-Gresham, Jennifer L.; Alizadeh, Behrooz Z.; Chambers, John C.; Guo, Xiuqing; Lehtimaki, Terho; Kuehnel, Brigitte; Lopez, Lorna M.; Polasek, Ozren; Boban, Mladen; Nelson, Christopher P.; Morrison, Alanna C.; Pihur, Vasyl; Ganesh, Santhi K.; Hofman, Albert; Kundu, Suman; Mattace-Raso, Francesco U. S.; Rivadeneira, Fernando; Sijbrands, Eric J. G.; Uitterlinden, Andre G.; Hwang, Shih-Jen; Vasan, Ramachandran S.; Wang, Thomas J.; Bergmann, Sven; Vollenweider, Peter; Waeber, Gerard; Laitinen, Jaana; Pouta, Anneli; Zitting, Paavo; McArdle, Wendy L.; Kroemer, Heyo K.; Voelker, Uwe; Voelzke, Henry; Glazer, Nicole L.; Taylor, Kent D.; Harris, Tamara B.; Alavere, Helene; Haller, Toomas; Keis, Aime; Tammesoo, Mari-Liis; Aulchenko, Yurii; Barroso, Ines; Khaw, Kay-Tee; Galan, Pilar; Hercberg, Serge; Lathrop, Mark; Eyheramendy, Susana; Org, Elin; Sober, Siim; Lu, Xiaowen; Nolte, Ilja M.; Penninx, Brenda W.; Corre, Tanguy; Masciullo, Corrado; Sala, Cinzia; Groop, Leif; Voight, Benjamin F.; Melander, Olle; O'Donnell, Christopher J.; Salomaa, Veikko; d'Adamo, Adamo Pio; Fabretto, Antonella; Faletra, Flavio; Ulivi, Sheila; Del Greco, Fabiola M.; Facheris, Maurizio; Collins, Francis S.; Bergman, Richard N.; Beilby, John P.; Hung, Joseph; Musk, A. William; Mangino, Massimo; Shin, So-Youn; Soranzo, Nicole; Watkins, Hugh; Goel, Anuj; Hamsten, Anders; Gider, Pierre; Loitfelder, Marisa; Zeginigg, Marion; Hernandez, Dena; Najjar, Samer S.; Navarro, Pau; Wild, Sarah H.; Corsi, Anna Maria; Singleton, Andrew; de Geus, Eco J. C.; Willemsen, Gonneke; Parker, Alex N.; Rose, Lynda M.; Buckley, Brendan; Stott, David; Orru, Marco; Uda, Manuela; van der Klauw, Melanie M.; Zhang, Weihua; Li, Xinzhong; Scott, James; Chen, Yii-Der Ida; Burke, Gregory L.; Kahonen, Mika; Viikari, Jorma; Doering, Angela; Meitinger, Thomas; Davies, Gail; Starr, John M.; Emilsson, Valur; Plump, Andrew; Lindeman, Jan H.; 't Hoen, Peter A. C.; Koenig, Inke R.; Felix, Janine F.; Clarke, Robert; Hopewell, Jemma C.; Ongen, Halit; Breteler, Monique; Debette, Stephanie; DeStefano, Anita L.; Fornage, Myriam; Mitchell, Gary F.; Smith, Nicholas L.; Holm, Hilma; Stefansson, Kari; Thorleifsson, Gudmar; Thorsteinsdottir, Unnur; Samani, Nilesh J.; Preuss, Michael; Rudan, Igor; Hayward, Caroline; Deary, Ian J.; Wichmann, H-Erich; Raitakari, Olli T.; Palmas, Walter; Kooner, Jaspal S.; Stolk, Ronald P.; Jukema, J. Wouter; Wright, Alan F.; Boomsma, Dorret I.; Bandinelli, Stefania; Gyllensten, Ulf B.; Wilson, James F.; Ferrucci, Luigi; Schmidt, Reinhold; Farrall, Martin; Spector, Tim D.; Palmer, Lyle J.; Tuomilehto, Jaakko; Pfeufer, Arne; Gasparini, Paolo; Siscovick, David; Altshuler, David; Loos, Ruth J. F.; Toniolo, Daniela; Snieder, Harold; Gieger, Christian; Meneton, Pierre; Wareham, Nicholas J.; Oostra, Ben A.; Metspalu, Andres; Launer, Lenore; Rettig, Rainer; Strachan, David P.; Beckmann, Jacques S.; Witteman, Jacqueline C. M.; Erdmann, Jeanette; van Dijk, Ko Willems; Boerwinkle, Eric; Boehnke, Michael; Ridker, Paul M.; Jarvelin, Marjo-Riitta; Chakravarti, Aravinda; Abecasis, Goncalo R.; Gudnason, Vilmundur; Newton-Cheh, Christopher; Levy, Daniel; Munroe, Patricia B.; Psaty, Bruce M.; Caulfield, Mark J.; Rao, Dabeeru C.; Tobin, Martin D.; Elliott, Paul; van Duijn, Cornelia M.

    2011-01-01

    Numerous genetic loci have been associated with systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Europeans(1-3). We now report genome-wide association studies of pulse pressure (PP) and mean arterial pressure (MAP). In discovery (N = 74,064) and follow-up studies (N = 48,607), we

  16. Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma

    NARCIS (Netherlands)

    Cerhan, James R.; Berndt, Sonja I.; Vijai, Joseph; Ghesquières, Hervé; McKay, James; Wang, Sophia S.; Wang, Zhaoming; Yeager, Meredith; Conde, Lucia; De Bakker, Paul I W; Nieters, Alexandra; Cox, David; Burdett, Laurie; Monnereau, Alain; Flowers, Christopher R.; De Roos, Anneclaire J.; Brooks-Wilson, Angela R.; Lan, Qing; Severi, Gianluca; Melbye, Mads; Gu, Jian; Jackson, Rebecca D.; Kane, Eleanor; Teras, Lauren R.; Purdue, Mark P.; Vajdic, Claire M.; Spinelli, John J.; Giles, Graham G.; Albanes, Demetrius; Kelly, Rachel S.; Zucca, Mariagrazia; Bertrand, Kimberly A.; Zeleniuch-Jacquotte, Anne; Lawrence, Charles; Hutchinson, Amy; Zhi, Degui; Habermann, Thomas M.; Link, Brian K.; Novak, Anne J.; Dogan, Ahmet; Asmann, Yan W.; Liebow, Mark; Thompson, Carrie A.; Ansell, Stephen M.; Witzig, Thomas E.; Weiner, George J.; Veron, Amelie S.; Zelenika, Diana; Tilly, Hervé; Haioun, Corinne; Molina, Thierry Jo; Hjalgrim, Henrik; Glimelius, Bengt; Adami, Hans Olov; Bracci, Paige M.; Riby, Jacques; Smith, Martyn T.; Holly, Elizabeth A.; Cozen, Wendy; Hartge, Patricia; Morton, Lindsay M.; Severson, Richard K.; Tinker, Lesley F.; North, Kari E.; Becker, Nikolaus; Benavente, Yolanda; Boffetta, Paolo; Brennan, Paul; Foretova, Lenka; Maynadie, Marc; Staines, Anthony; Lightfoot, Tracy; Crouch, Simon; Smith, Alex; Roman, Eve; Diver, W. Ryan; Offit, Kenneth; Zelenetz, Andrew; Klein, Robert J.; Villano, Danylo J.; Zheng, Tongzhang; Zhang, Yawei; Holford, Theodore R.; Kricker, Anne; Turner, Jenny; Southey, Melissa C.; Clavel, Jacqueline; Virtamo, Jarmo; Weinstein, Stephanie; Riboli, Elio; Vineis, Paolo; Kaaks, Rudolph; Trichopoulos, Dimitrios; Vermeulen, Roel C H; Boeing, Heiner; Tjonneland, Anne; Angelucci, Emanuele; Di Lollo, Simonetta; Rais, Marco; Birmann, Brenda M.; Laden, Francine; Giovannucci, Edward; Kraft, Peter; Huang, Jinyan; Ma, Baoshan; Ye, Yuanqing; Chiu, Brian C H; Sampson, Joshua; Liang, Liming; Park, Ju Hyun; Chung, Charles C.; Weisenburger, Dennis D.; Chatterjee, Nilanjan; Fraumeni, Joseph F.; Slager, Susan L.; Wu, Xifeng; De Sanjose, Silvia; Smedby, Karin E.; Salles, Gilles; Skibola, Christine F.; Rothman, Nathaniel; Chanock, Stephen J.

    2014-01-01

    Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of 3 new genome-wide association studies (GWAS) and 1 previous scan, totaling 3,857 cases and 7,666 controls of Euro

  17. Genome-Wide Association Study of Receptive Language Ability of 12-Year-Olds

    Science.gov (United States)

    Harlaar, Nicole; Meaburn, Emma L.; Hayiou-Thomas, Marianna E.; Davis, Oliver S. P.; Docherty, Sophia; Hanscombe, Ken B.; Haworth, Claire M. A.; Price, Thomas S.; Trzaskowski, Maciej; Dale, Philip S.; Plomin, Robert

    2014-01-01

    Purpose: Researchers have previously shown that individual differences in measures of receptive language ability at age 12 are highly heritable. In the current study, the authors attempted to identify some of the genes responsible for the heritability of receptive language ability using a "genome-wide association" approach. Method: The…

  18. Genome wide association analysis for residual feed intake in Danish Duroc boars

    DEFF Research Database (Denmark)

    Do, Duy Ngoc; Ostersen, Tage; Strathe, Anders Bjerring;

    2013-01-01

    gain (30-100 kg). RFI2 was the same as RFI1 except that it was also regressed on backfat (BF). A total of 868 boars had phenotypic and genotype (i.e. Illumina Porcine SNP60 BeadChip) records. A total of 33945 SNPs were available for genome wide association studies (GWAS) after quality control...

  19. Seven prostate cancer susceptibility loci identified by a multi-stage genome-wide association study

    DEFF Research Database (Denmark)

    Kote-Jarai, Zsofia; Olama, Ali Amin Al; Giles, Graham G

    2011-01-01

    Prostate cancer (PrCa) is the most frequently diagnosed male cancer in developed countries. We conducted a multi-stage genome-wide association study for PrCa and previously reported the results of the first two stages, which identified 16 PrCa susceptibility loci. We report here the results of st...

  20. Identification of six Loci associated with pelvic organ prolapse using genome-wide association analysis.

    NARCIS (Netherlands)

    Allen-Brady, K.; Cannon-Albright, L.; Farnham, J.M.; Teerlink, C.; Vierhout, M.E.; Kempen, L.C.L.T. van; Kluivers, K.B.; Norton, P.A.

    2011-01-01

    OBJECTIVE: : There is evidence that both environmental and genetic factors contribute to pelvic organ prolapse. We conducted a genome-wide association study to investigate whether common genetic variants modify the risk of pelvic organ prolapse. METHODS: : We recruited women who had been evaluated

  1. Genome-wide association analysis in primary sclerosing cholangitis identifies two non-HLA susceptibility loci

    NARCIS (Netherlands)

    Melum, Espen; Franke, Andre; Schramm, Christoph; Weismueller, Tobias J.; Gotthardt, Daniel Nils; Offner, Felix A.; Juran, Brian D.; Laerdahl, Jon K.; Labi, Verena; Bjoernsson, Einar; Weersma, Rinse K.; Henckaerts, Liesbet; Teufel, Andreas; Rust, Christian; Ellinghaus, Eva; Balschun, Tobias; Boberg, Kirsten Muri; Ellinghaus, David; Bergquist, Annika; Sauer, Peter; Ryu, Euijung; Hov, Johannes Roksund; Wedemeyer, Jochen; Lindkvist, Bjoern; Wittig, Michael; Porte, Robert J.; Holm, Kristian; Gieger, Christian; Wichmann, H-Erich; Stokkers, Pieter; Ponsioen, Cyriel Y.; Runz, Heiko; Stiehl, Adolf; Wijmenga, Cisca; Sterneck, Martina; Vermeire, Severine; Beuers, Ulrich; Villunger, Andreas; Schrumpf, Erik; Lazaridis, Konstantinos N.; Manns, Michael P.; Schreiber, Stefan; Karlsen, Tom H.

    Primary sclerosing cholangitis (PSC) is a chronic bile duct disease affecting 2.4-7.5% of individuals with inflammatory bowel disease. We performed a genome-wide association analysis of 2,466,182 SNPs in 715 individuals with PSC and 2,962 controls, followed by replication in 1,025 PSC cases and

  2. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption

    NARCIS (Netherlands)

    Cornelis, M. C.; Byrne, E. M.; Esko, T.; Nalls, M. A.; Ganna, A.; Paynter, N.; Monda, K. L.; Amin, N.; Fischer, K.; Renstrom, F.; Ngwa, J. S.; Huikari, V.; Cavadino, A.; Nolte, I. M.; Teumer, A.; Yu, K.; Marques-Vidal, P.; Rawal, R.; Manichaikul, A.; Wojczynski, M. K.; Vink, J. M.; Zhao, J. H.; Burlutsky, G.; Lahti, J.; Mikkila, V.; Lemaitre, R. N.; Eriksson, J.; Musani, S. K.; Tanaka, T.; Geller, F.; Luan, J.; Hui, J.; Maegi, R.; Dimitriou, M.; Garcia, M. E.; Ho, W-K; Wright, M. J.; Rose, L. M.; Magnusson, P. K. E.; Pedersen, N. L.; Couper, D.; Oostra, B. A.; Hofman, A.; Ikram, M. A.; Tiemeier, H. W.; Uitterlinden, A. G.; van Rooij, F. J. A.; Barroso, I.; Johansson, I.; Xue, L.; Kaakinen, M.; Milani, L.; Power, C.; Snieder, H.; Stolk, R. P.; Baumeister, S. E.; Biffar, R.; Gu, F.; Bastardot, F.; Kutalik, Z.; Jacobs, D. R.; Forouhi, N. G.; Mihailov, E.; Lind, L.; Lindgren, C.; Michaelsson, K.; Morris, A.; Jensen, M.; Khaw, K-T; Luben, R. N.; Wang, J. J.; Mannisto, S.; Perala, M-M; Kahonen, M.; Lehtimaki, T.; Viikari, J.; Mozaffarian, D.; Mukamal, K.; Psaty, B. M.; Doering, A.; Heath, A. C.; Montgomery, G. W.; Dahmen, N.; Carithers, T.; Tucker, K. L.; Ferrucci, L.; Boyd, H. A.; Melbye, M.; Treur, J. L.; Mellstrom, D.; Hottenga, J. J.; Prokopenko, I.; Toenjes, A.; Deloukas, P.; Kanoni, S.; Lorentzon, M.; Houston, D. K.; Liu, Y.; Danesh, J.; Rasheed, A.; Mason, M. A.; Zonderman, A. B.; Franke, L.; Kristal, B. S.; Karjalainen, J.; Reed, D. R.; Westra, H-J; Evans, M. K.; Saleheen, D.; Harris, T. B.; Dedoussis, G.; Curhan, G.; Stumvoll, M.; Beilby, J.; Pasquale, L. R.; Feenstra, B.; Bandinelli, S.; Ordovas, J. M.; Chan, A. T.; Peters, U.; Ohlsson, C.; Gieger, C.; Martin, N. G.; Waldenberger, M.; Siscovick, D. S.; Raitakari, O.; Eriksson, J. G.; Mitchell, P.; Hunter, D. J.; Kraft, P.; Rimm, E. B.; Boomsma, D. I.; Borecki, I. B.; Loos, R. J. F.; Wareham, N. J.; Vollenweider, P.; Caporaso, N.; Grabe, H. J.; Neuhouser, M. L.; Wolffenbuttel, B. H. R.; Hu, F. B.; Hyppoenen, E.; Jarvelin, M-R; Cupples, L. A.; Franks, P. W.; Ridker, P. M.; van Duijn, C. M.; Heiss, G.; Metspalu, A.; North, K. E.; Ingelsson, E.; Nettleton, J. A.; van Dam, R. M.; Chasman, D. I.

    Coffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome-wide (GW) meta-analysis of predominately regular-type coffee consumption (cups per day) among up to

  3. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption

    NARCIS (Netherlands)

    M. Cornelis (Marilyn); E.M. Byrne; T. Esko (Tõnu); M.A. Nalls (Michael); A. Ganna (Andrea); N.P. Paynter (Nina); K.L. Monda (Keri); N. Amin; K. Fischer (Krista); F. Renström (Frida); J.S. Ngwa; V. Huikari (Ville); A. Cavadino (Alana); I.M. Nolte (Ilja M.); A. Teumer (Alexander); K. Yu; P. Marques-Vidal; R. Rawal; A. Manichaikul (Ani); M.K. Wojczynski (Mary ); J.M. Vink; J.H. Zhao; G. Burlutsky (George); J. Lahti (Jari); V. Mikkilä (Vera); R.N. Lemaitre (Rozenn ); J. Eriksson; S. Musani (Solomon); T. Tanaka; F. Geller (Frank); J. Luan; J. Hui; R. Mägi (Reedik); M. Dimitriou (Maria); M. Garcia (Melissa); W.-K. Ho; M.J. Wright (Margaret); L.M. Rose (Lynda M.); P.K.E. Magnusson (Patrik K. E.); N.L. Pedersen (Nancy L.); D.J. Couper (David); B.A. Oostra (Ben); A. Hofman (Albert); M.A. Ikram (Arfan); H.W. Tiemeier (Henning); A.G. Uitterlinden (André); F.J.A. van Rooij (Frank); I. Barroso; I. Johansson (Ingegerd); L. Xue (Luting); M. Kaakinen (Marika); L. Milani (Lili); C. Power (Christine); H. Snieder (Harold); R.P. Stolk; S.E. Baumeister (Sebastian); R. Biffar; F. Gu; F. Bastardot (Francois); Z. Kutalik; D.R. Jacobs (David); N.G. Forouhi (Nita G.); E. Mihailov (Evelin); L. Lind (Lars); C. Lindgren; K. Michaëlsson; A.P. Morris (Andrew); M.K. Jensen (Majken K.); K.T. Khaw; R.N. Luben (Robert); J.J. Wang; S. Männistö (Satu); M.-M. Perälä; M. Kähönen (Mika); T. Lehtimäki (Terho); J. Viikari (Jorma); D. Mozaffarian; K. Mukamal (Kenneth); B.M. Psaty (Bruce); A. Döring; A.C. Heath (Andrew C.); G.W. Montgomery (Grant W.); N. Dahmen (N.); T. Carithers; K.L. Tucker; L. Ferrucci (Luigi); H.A. Boyd; M. Melbye (Mads); J.L. Treur; D. Mellström (Dan); J.J. Hottenga (Jouke Jan); I. Prokopenko (Inga); A. Tönjes (Anke); P. Deloukas (Panagiotis); S. Kanoni (Stavroula); M. Lorentzon (Mattias); D.K. Houston; Y. Liu; J. Danesh (John); A. Rasheed; M.A. Mason; A.B. Zonderman; L. Franke (Lude); B.S. Kristal; J. Karjalainen (Juha); D.R. Reed; H.-J. Westra; M.K. Evans; D. Saleheen; T.B. Harris (Tamara B.); G.V. Dedoussis (George V.); G.C. Curhan (Gary); M. Stumvoll (Michael); J. Beilby (John); L.R. Pasquale; B. Feenstra; S. Bandinelli; J.M. Ordovas; A.T. Chan; U. Peters (Ulrike); C. Ohlsson (Claes); C. Gieger (Christian); N.G. Martin (Nicholas); M. Waldenberger (Melanie); D.S. Siscovick (David); O. Raitakari (Olli); J.G. Eriksson (Johan G.); P. Mitchell (Paul); D. Hunter (David); P. Kraft (Peter); E.B. Rimm (Eric B.); D.I. Boomsma (Dorret); I.B. Borecki (Ingrid); R.J.F. Loos (Ruth); N.J. Wareham (Nick); P.K. Vollenweider (Peter K.); N. Caporaso; H.J. Grabe (Hans Jörgen); M.L. Neuhouser (Marian L.); B.H.R. Wolffenbuttel (Bruce H. R.); F.B. Hu (Frank); E. Hypponen (Elina); M.-R. Jarvelin (Marjo-Riitta); L.A. Cupples (Adrienne); P.W. Franks; P.M. Ridker (Paul); C.M. van Duijn (Cock); G. Heiss (Gerardo); A. Metspalu (Andres); K.E. North (Kari); E. Ingelsson (Erik); J.A. Nettleton; R.M. van Dam (Rob); D.I. Chasman (Daniel)

    2015-01-01

    textabstractCoffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome-wide (GW) meta-analysis of predominately regular-type coffee consumption (cups per day)

  4. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption

    NARCIS (Netherlands)

    Cornelis, M.C.; Byrne, E.M.; Esko, T.; Nalls, M.A.; Ganna, A.; Paynter, N.; Monda, K.L.; Amin, N.; Fischer, K.; Renstrom, F.; Ngwa, J.S.; Huikari, V.; Cavadino, A.; Nolte, I.M.; Teumer, A.; Yu, K.; Marques-Vidal, P.; Rawal, R.; Manichaikul, A.; Wojczynski, M.K.; Vink, J.M.; Zhao, J.H.; Burlutsky, G.; Lahti, J.; Mikkila, V.; Lemaitre, R.N.; Eriksson, J.; Musani, S.K.; Tanaka, T.; Geller, F.; Luan, J.; Hui, J.; Magi, R.; Dimitriou, M.; Garcia, M.E.; Ho, W.K.; Wright, M.J.; Rose, L.M.; Magnusson, P.K.E.; Pedersen, N.L.; Couper, D.; Oostra, B.A.; Hofman, A.; Ikram, M.A.; Tiemeier, H.W.; Uitterlinden, A.G.; Rooij, F.J. van; Barroso, I.; Johansson, I.; Xue, L.; Kaakinen, M.; Milani, L.; Power, C.; Snieder, H.; Stolk, R.P.; Baumeister, S.E.; Biffar, R.; Gu, F.; Bastardot, F.; Kutalik, Z.; Jacobs, D.R., Jr.; Forouhi, N.G.; Mihailov, E.; Lind, L.; Lindgren, C.; Michaelsson, K.; Morris, A.; Jensen, M.; Khaw, K.T.; Luben, R.N.; Wang, J.J.; Mannisto, S.; Perala, M.M.; Kahonen, M.; Lehtimaki, T.; Viikari, J.; Mozaffarian, D.; Mukamal, K.; Psaty, B.M.; Doring, A.; Heath, A.C.; Montgomery, G.W.; Dahmen, N.; Carithers, T.; Tucker, K.L.; Ferrucci, L.; Boyd, H.A.; Melbye, M.; Treur, J.L.; Mellstrom, D.; Hottenga, J.J.; Prokopenko, I.; Tonjes, A.; Deloukas, P.; Kanoni, S.; Lorentzon, M.; Houston, D.K.; Liu, Y.; Danesh, J.; Rasheed, A.; Mason, M.A.; Zonderman, A.B.; Franke, L.; Kristal, B.S.; Karjalainen, J.; Reed, D.R.; Westra, H.J.; Evans, M.K.; Saleheen, D.; Harris, T.B.; Dedoussis, G.; Curhan, G.; Stumvoll, M.; Beilby, J.; Pasquale, L.R.; Feenstra, B.; Bandinelli, S.; Ordovas, J.M.; Chan, A.T.; Peters, U.; Ohlsson, C.; Gieger, C.; Martin, N.G.; Waldenberger, M.; Siscovick, D.S.; Raitakari, O.; Eriksson, J.G.; Mitchell, P.; Hunter, D.J.; Kraft, P.; Rimm, E.B.; Boomsma, D.I.; Borecki, I.B.; Loos, R.J.F.; Wareham, N.J.; Vollenweider, P.; Caporaso, N.; Grabe, H.J.; Neuhouser, M.L.; Wolffenbuttel, B.H.R.; Hu, F.B.; Hypponen, E.; Jarvelin, M.R.; Cupples, L.A.; Franks, P.W.; Ridker, P.M.; Duijn, C.M. van; Heiss, G.; Metspalu, A.; North, K.E.; Ingelsson, E.; Nettleton, J.A.; Dam, R.M. van; Chasman, D.I.

    2015-01-01

    Coffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome-wide (GW) meta-analysis of predominately regular-type coffee consumption (cups per day) among up to

  5. Genome-Wide Association Study for Response to Eimeria maxima Challenge in Broilers

    DEFF Research Database (Denmark)

    Hamzic, Edin; Bed'hom, Bertrand; Hérault, Frédéric

    Use of genetic tools for improvement of host’s response is considered as a promising complementary approach for coccidiosis control. Therefore, we performed genome wide association study (GWAS) for response to Eimeria maxima challenge in broilers. The challenge was done on 2024 Cobb500 broilers. ...

  6. Annotation of loci from genome-wide association studies using tissue-specific quantitative interaction proteomics

    NARCIS (Netherlands)

    Lundby, Alicia; Rossin, Elizabeth J.; Steffensen, Annette B.; Acha, Moshe Ray; Newton-Cheh, Christopher; Pfeufer, Arne; Lyneh, Stacey N.; Olesen, Soren-Peter; Brunak, Soren; Ellinor, Patrick T.; Jukema, J. Wouter; Trompet, Stella; Ford, Ian; Macfarlane, Peter W.; Krijthe, Bouwe P.; Hofman, Albert; Uitterlinden, Andre G.; Stricker, Bruno H.; Nathoe, Hendrik M.; Spiering, Wilko; Daly, Mark J.; Asselbergs, Ikea W.; van der Harst, Pim; Milan, David J.; de Bakker, Paul I. W.; Lage, Kasper; Olsen, Jesper V.

    2014-01-01

    Genome-wide association studies (GWAS) have identified thousands of loci associated with complex traits, but it is challenging to pinpoint causal genes in these loci and to exploit subtle association signals. We used tissue-specific quantitative interaction proteomics to map a network of five genes

  7. Genome-Wide Association Study of Intelligence: Additive Effects of Novel Brain Expressed Genes

    Science.gov (United States)

    Loo, Sandra K.; Shtir, Corina; Doyle, Alysa E.; Mick, Eric; McGough, James J.; McCracken, James; Biederman, Joseph; Smalley, Susan L.; Cantor, Rita M.; Faraone, Stephen V.; Nelson, Stanley F.

    2012-01-01

    Objective: The purpose of the present study was to identify common genetic variants that are associated with human intelligence or general cognitive ability. Method: We performed a genome-wide association analysis with a dense set of 1 million single-nucleotide polymorphisms (SNPs) and quantitative intelligence scores within an ancestrally…

  8. Genome-Wide Association Study of Receptive Language Ability of 12-Year-Olds

    Science.gov (United States)

    Harlaar, Nicole; Meaburn, Emma L.; Hayiou-Thomas, Marianna E.; Davis, Oliver S. P.; Docherty, Sophia; Hanscombe, Ken B.; Haworth, Claire M. A.; Price, Thomas S.; Trzaskowski, Maciej; Dale, Philip S.; Plomin, Robert

    2014-01-01

    Purpose: Researchers have previously shown that individual differences in measures of receptive language ability at age 12 are highly heritable. In the current study, the authors attempted to identify some of the genes responsible for the heritability of receptive language ability using a "genome-wide association" approach. Method: The…

  9. Genome-wide Association Analysis of Kernel Weight in Hard Winter Wheat

    Science.gov (United States)

    Wheat kernel weight is an important and heritable component of wheat grain yield and a key predictor of flour extraction. Genome-wide association analysis was conducted to identify genomic regions associated with kernel weight and kernel weight environmental response in 8 trials of 299 hard winter ...

  10. Novel genetic loci underlying human intracranial volume identified through genome-wide association

    NARCIS (Netherlands)

    Adams, Hieab H. H.; Hibar, Derrek P.; Chouraki, Vincent; Stein, Jason L.; Nyquist, Paul A.; Renteria, Miguel E.; Trompet, Stella; Arias-Vasquez, Alejandro; Seshadri, Sudha; Desrivieres, Sylvane; Beecham, Ashley H.; Jahanshad, Neda; Wittfeld, Katharine; Van der Lee, Sven J.; Abramovic, Lucija; Alhusaini, Saud; Amin, Najaf; Andersson, Micael; Arfanakis, Konstantinos; Aribisala, Benjamin S.; Armstrong, Nicola J.; Athanasiu, Lavinia; Axelsson, Tomas; Beiser, Alexa; Bernard, Manon; Bis, Joshua C.; Blanken, Laura M. E.; Blanton, Susan H.; Bohlken, Marc M.; Boks, Marco P.; Bralten, Janita; Brickman, Adam M.; Carmichael, Owen; Chakravarty, M. Mallar; Chauhan, Ganesh; Chen, Qiang; Ching, Christopher R. K.; Cuellar-Partida, Gabriel; Den Braber, Anouk; Doan, Nhat Trung; Ehrlich, Stefan; Filippi, Irina; Ge, Tian; Giddaluru, Sudheer; Goldman, Aaron L.; Gottesman, Rebecca F.; Greven, Corina U.; Grimm, Oliver; Griswold, Michael E.; Guadalupe, Tulio; Hass, Johanna; Haukvik, Unn K.; Hilal, Saima; Hofer, Edith; Hoehn, David; Holmes, Avram J.; Hoogman, Martine; Janowitz, Deborah; Jia, Tianye; Kasperaviciute, Dalia; Kim, Sungeun; Klein, Marieke; Kraemer, Bernd; Lee, Phil H.; Liao, Jiemin; Liewald, David C. M.; Lopez, Lorna M.; Luciano, Michelle; Macare, Christine; Marquand, Andre; Matarin, Mar; Mather, Karen A.; Mattheisen, Manuel; Mazoyer, Bernard; Mckay, David R.; McWhirter, Rebekah; Milaneschi, Yuri; Mirza-Schreiber, Nazanin; Muetzel, Ryan L.; Maniega, Susana Munoz; Nho, Kwangsik; Nugent, Allison C.; Loohuis, Loes M. Olde; Oosterlaan, Jaap; Papmeyer, Martina; Pappa, Irene; Pirpamer, Lukas; Pudas, Sara; Puetz, Benno; Rajan, Kumar B.; Ramasamy, Adaikalavan; Richards, Jennifer S.; Risacher, Shannon L.; Roiz-Santianez, Roberto; Rommelse, Nanda; Rose, Emma J.; Royle, Natalie A.; Rundek, Tatjana; Saemann, Philipp G.; Satizabal, Claudia L.; Schmaal, Lianne; Schork, Andrew J.; Shen, Li; Shin, Jean; Shumskaya, Elena; Smith, Albert V.; Sprooten, Emma; Strike, Lachlan T.; Teumer, Alexander; Thomson, Russell; Tordesillas-Gutierrez, Diana; Toro, Roberto; Trabzuni, Daniah; Vaidya, Dhananjay; Van der Grond, Jeroen; Van der Meer, Dennis; Van Donkelaar, Marjolein M. J.; Van Eijk, Kristel R.; Van Erp, Theo G. M.; Van Rooij, Daan; Walton, Esther; Westlye, Lars T.; Whelan, Christopher D.; Windham, Beverly G.; Winkler, Anderson M.; Woldehawariat, Girma; Wolf, Christiane; Wolfers, Thomas; Xu, Bing; Yanek, Lisa R.; Yang, Jingyun; Zijdenbos, Alex; Zwiers, Marcel P.; Agartz, Ingrid; Aggarwal, Neelum T.; Almasy, Laura; Ames, David; Amouyel, Philippe; Andreassen, Ole A.; Arepalli, Sampath; Assareh, Amelia A.; Barral, Sandra; Bastin, Mark E.; Becker, Diane M.; Becker, James T.; Bennett, David A.; Blangero, John; van Bokhoven, Hans; Boomsma, Dorret I.; Brodaty, Henry; Brouwer, Rachel M.; Brunner, Han G.; Buckner, Randy L.; Buitelaar, Jan K.; Bulayeva, Kazima B.; Cahn, Wiepke; Calhoun, Vince D.; Cannon, Dara M.; Cavalleri, Gianpiero L.; Chen, Christopher; Cheng, Ching -Yu; Cichon, Sven; Cookson, Mark R.; Corvin, Aiden; Crespo-Facorro, Benedicto; Curran, Joanne E.; Czisch, Michael; Dale, Anders M.; Davies, Gareth E.; De Geus, Eco J. C.; De Jager, Philip L.; de Zubicaray, Greig I.; Delanty, Norman; Depondt, Chantal; DeStefano, Anita L.; Dillman, Allissa; Djurovic, Srdjan; Donohoe, Gary; Drevets, Wayne C.; Duggirala, Ravi; Dyer, Thomas D.; Erk, Susanne; Espeseth, Thomas; Evans, Denis A.; Fedko, Iryna; Fernandez, Guillen; Ferrucci, Luigi; Fisher, Simon E.; Fleischman, Debra A.; Ford, Ian; Foroud, Tatiana M.; Fox, Peter T.; Francks, Clyde; Fukunaga, Masaki; Gibbs, J. Raphael; Glahn, David C.; Gollub, Randy L.; Goring, Harald H. H.; Grabe, Hans J.; Green, Robert C.; Gruber, Oliver; Gudnason, Vilmundur; Guelfi, Sebastian; Hansell, Narelle K.; Hardy, John; Hartman, Catharina A.; Hashimoto, Ryota; Hegenscheid, Katrin; Heinz, Andreas; Le Hellard, Stephanie; Hernandez, Dena G.; Heslenfeld, Dirk J.; Ho, Beng-Choon; Hoekstra, Pieter J.; Hoffmann, Wolfgang; Hofman, Albert; Holsboer, Florian; Homuth, Georg; Hosten, Norbert; Hottenga, Jouke-Jan; Pol, Hilleke E. Hulshoff; Ikeda, Masashi; Ikram, M. Kamran; Jack, Clifford R.; Jenldnson, Mark; Johnson, Robert; Jonsson, Erik G.; Jukema, J. Wouter; Kahn, Rene S.; Kanai, Ryota; Kloszewska, Iwona; Knopman, David S.; Kochunov, Peter; Kwok, John B.; Lawrie, Stephen M.; Lemaitre, Herve; Liu, Xinmin; Longo, Dan L.; Longstreth, W. T.; Lopez, Oscar L.; Lovestone, Simon; Martinez, Oliver; Martinot, Jean-Luc; Mattay, Venkata S.; McDonald, Colm; McIntosh, Andrew M.; McMahon, Katie L.; McMahon, Francis J.; Mecocci, Patrizia; Melle, Ingrid; Meyer-Lindenberg, Andreas; Mohnke, Sebastian; Montgomery, Grant W.; Morris, Derek W.; Mosley, Thomas H.; Muhleisen, Thomas W.; Mueller-Myhsok, Bertram; Nalls, Michael A.; Nauck, Matthias; Nichols, Thomas E.; Niessen, Wiro J.; Noethen, Markus M.; Nyberg, Lars; Ohi, Kazutaka; Olvera, Rene L.; Ophoff, Roel A.; Pandolfo, Massimo; Paus, Tomas; Pausova, Zdenka; Penninx, Brenda W. J. H.; Pike, G. Bruce; Potkin, Steven G.; Psaty, Bruce M.; Reppermund, Simone; Rietschel, Marcella; Roffman, Joshua L.; Romanczuk-Seiferth, Nina; Rotter, Jerome I.; Ryten, Mina; Sacco, Ralph L.; Sachdev, Perminder S.; Saykin, Andrew J.; Schmidt, Reinhold; Schofield, Peter R.; Sigurdsson, Sigurdur; Simmons, Andy; Singleton, Andrew; Sisodiya, Sanjay M.; Smith, Colin; Smoller, Jordan W.; Soininen, Hindu.; Srikanth, Velandai; Steen, Vidar M.; Stott, David J.; Sussmann, Jessika E.; Thalamuthu, Anbupalam; Tiemeier, Henning; Toga, Arthur W.; Traynor, Bryan J.; Troncoso, Juan; Turner, Jessica A.; Tzourio, Christophe; Uitterlinden, Andre G.; Hernandez, Maria C. Valdes; Van der Brug, Marcel; Van der Lugt, Aad; Van der Wee, Nic J. A.; Van Duijn, Cornelia M.; Van Haren, Neeltje E. M.; Van't Ent, Dennis; Van Tol, Marie Jose; Vardarajan, Badri N.; Veltman, Dick J.; Vernooij, Meike W.; Voelzke, Henry; Walter, Henrik; Wardlaw, Joanna M.; Wassink, Thomas H.; Weale, Michael E.; Weinberger, Daniel R.; Weiner, Michael W.; Wen, Wei; Westman, Eric; White, Tonya; Wong, Tien Y.; Wright, Clinton B.; Zielke, H. Ronald; Zonderman, Alan B.; Deary, Ian J.; DeCarli, Charles; Schmidt, Helena; Martin, Nicholas G.; De Craen, Anton J. M.; Wright, Margaret J.; Launer, Lenore J.; Schumann, Gunter; Fornage, Myriam; Franke, Barbara; Debette, Stephanie; Medland, Sarah E.; Ikram, M. Arfan; Thompson, Paul M.

    2016-01-01

    Intracranial volume reflects the maximally attained brain size during development, and remains stable with loss of tissue in late life. It is highly heritable, but the underlying genes remain largely undetermined. In a genome-wide association study of 32,438 adults, we discovered five previously unk

  11. Using Genome-Wide Pathway Analysis to Unravel the Etiology of Complex Diseases

    NARCIS (Netherlands)

    Elbers, Clara C.; van Eijk, Kristel R.; Franke, Lude; Mulder, Flip; van der Schouw, Yvonne T.; Wijmenga, Cisca; Onland-Moret, N. Charlotte

    2009-01-01

    Several genome-wide association studies (GWAS) have been published on various complex diseases. Although, new loci are found to be associated with these diseases, still only very little of the genetic risk for these diseases can be explained. As GWAS are still underpowered to find small main effects

  12. Genome-wide association and functional studies identify a role for IGFBP3 in hip osteoarthritis

    NARCIS (Netherlands)

    D.S. Evans (Daniel); F. Cailotto (Frederic); N. Parimi (Neeta); A.M. Valdes (Ana Maria); M.C. Castaño Betancourt (Martha); Y. Liu (Youfang); R.C. Kaplan (Robert); M. Bidlingmaier (Martin); R.S. Vasan (Ramachandran Srini); A. Teumer (Alexander); G.J. Tranah (Gregory); M.C. Nevitt (Michael); S. Cummings; E.S. Orwoll (Eric); E. Barrett-Connor (Elizabeth); J.B. Renner (Jordan); J.M. Jordan (Joanne); M. Doherty (Michael); S. Doherty (Sally); A.G. Uitterlinden (André); J.B.J. van Meurs (Joyce); T.D. Spector (Timothy); R.J. Lories (Rik); N.E. Lane

    2014-01-01

    textabstractObjectives To identify genetic associations with hip osteoarthritis (HOA), we performed a meta-analysis of genome-wide association studies (GWAS) of HOA. Methods The GWAS meta-analysis included approximately 2.5 million imputed HapMap single nucleotide polymorphisms (SNPs). HOA cases and

  13. Genome-wide transcriptional response of a Saccharomyces cerevisiae strain with an altered redox metabolism

    DEFF Research Database (Denmark)

    Bro, Christoffer; Regenberg, Birgitte; Nielsen, Jens

    2004-01-01

    The genome-wide transcriptional response of a Saccharomyces cerevisiae strain deleted in GDH1 that encodes a NADP(+)-dependent glutamate dehydrogenase was compared to a wild-type strain under anaerobic steady-state conditions. The GDH1-deleted strain has a significantly reduced NADPH requirement...

  14. Genome-Wide Association Study of Intelligence: Additive Effects of Novel Brain Expressed Genes

    Science.gov (United States)

    Loo, Sandra K.; Shtir, Corina; Doyle, Alysa E.; Mick, Eric; McGough, James J.; McCracken, James; Biederman, Joseph; Smalley, Susan L.; Cantor, Rita M.; Faraone, Stephen V.; Nelson, Stanley F.

    2012-01-01

    Objective: The purpose of the present study was to identify common genetic variants that are associated with human intelligence or general cognitive ability. Method: We performed a genome-wide association analysis with a dense set of 1 million single-nucleotide polymorphisms (SNPs) and quantitative intelligence scores within an ancestrally…

  15. Genome-wide association mapping in Arabidopsis identifies previously known flowering time and pathogen resistance genes.

    Directory of Open Access Journals (Sweden)

    María José Aranzana

    2005-11-01

    Full Text Available There is currently tremendous interest in the possibility of using genome-wide association mapping to identify genes responsible for natural variation, particularly for human disease susceptibility. The model plant Arabidopsis thaliana is in many ways an ideal candidate for such studies, because it is a highly selfing hermaphrodite. As a result, the species largely exists as a collection of naturally occurring inbred lines, or accessions, which can be genotyped once and phenotyped repeatedly. Furthermore, linkage disequilibrium in such a species will be much more extensive than in a comparable outcrossing species. We tested the feasibility of genome-wide association mapping in A. thaliana by searching for associations with flowering time and pathogen resistance in a sample of 95 accessions for which genome-wide polymorphism data were available. In spite of an extremely high rate of false positives due to population structure, we were able to identify known major genes for all phenotypes tested, thus demonstrating the potential of genome-wide association mapping in A. thaliana and other species with similar patterns of variation. The rate of false positives differed strongly between traits, with more clinal traits showing the highest rate. However, the false positive rates were always substantial regardless of the trait, highlighting the necessity of an appropriate genomic control in association studies.

  16. Critical reasoning on causal inference in genome-wide linkage and association studies

    NARCIS (Netherlands)

    Li, Yang; Tesson, Bruno M.; Churchill, Gary A.; Jansen, Ritsert C.

    2010-01-01

    Genome-wide linkage and association studies of tens of thousands of clinical and molecular traits are currently underway, offering rich data for inferring causality between traits and genetic variation. However, the inference process is based on discovering subtle patterns in the correlation between

  17. Genome-wide association study of systemic sclerosis identifies CD247 as a new susceptibility locus

    NARCIS (Netherlands)

    Radstake, Timothy R D J; Gorlova, Olga; Rueda, Blanca; Martin, Jose-Ezequiel; Alizadeh, Behrooz Z; Palomino-Morales, Rogelio; Coenen, Marieke J; Vonk, Madelon C; Voskuyl, Alexandre E; Schuerwegh, Annemie J; Broen, Jasper C; van Riel, Piet L C M; van 't Slot, Ruben; Italiaander, Annet; Ophoff, Roel A; Riemekasten, Gabriela; Hunzelmann, Nico; Simeon, Carmen P; Ortego-Centeno, Norberto; González-Gay, Miguel A; González-Escribano, María F; Airo, Paolo; van Laar, Jaap; Herrick, Ariane; Worthington, Jane; Hesselstrand, Roger; Smith, Vanessa; de Keyser, Filip; Houssiau, Fredric; Chee, Meng May; Madhok, Rajan; Shiels, Paul; Westhovens, Rene; Kreuter, Alexander; Kiener, Hans; de Baere, Elfride; Witte, Torsten; Padykov, Leonid; Klareskog, Lars; Beretta, Lorenzo; Scorza, Rafaella; Lie, Benedicte A; Hoffmann-Vold, Anna-Maria; Carreira, Patricia; Varga, John; Hinchcliff, Monique; Gregersen, Peter K; Lee, Annette T; Ying, Jun; Han, Younghun; Weng, Shih-Feng; Amos, Christopher I; Wigley, Fredrick M; Hummers, Laura; Nelson, J Lee; Agarwal, Sandeep K; Assassi, Shervin; Gourh, Pravitt; Tan, Filemon K; Koeleman, Bobby P C; Arnett, Frank C; Martin, Javier; Mayes, Maureen D

    2010-01-01

    Systemic sclerosis (SSc) is an autoimmune disease characterized by fibrosis of the skin and internal organs that leads to profound disability and premature death. To identify new SSc susceptibility loci, we conducted the first genome-wide association study in a population of European ancestry includ

  18. Genome-wide association analyses identify variants in developmental genes associated with hypospadias

    DEFF Research Database (Denmark)

    Geller, Frank; Feenstra, Bjarke; Carstensen, Lisbeth

    2014-01-01

    Hypospadias is a common congenital condition in boys in which the urethra opens on the underside of the penis. We performed a genome-wide association study on 1,006 surgery-confirmed hypospadias cases and 5,486 controls from Denmark. After replication genotyping of an additional 1,972 cases and 1...

  19. Genome-wide association analysis identifies six new loci associated with forced vital capacity

    NARCIS (Netherlands)

    Loth, Daan W.; Artigas, Maria Soler; Gharib, Sina A.; Wain, Louise V.; Franceschini, Nora; Koch, Beate; Pottinger, Tess D.; Smith, Albert Vernon; Duan, Qing; Oldmeadow, Chris; Lee, Mi Kyeong; Strachan, David P.; James, Alan L.; Huffman, Jennifer E.; Vitart, Veronique; Ramasamy, Adaikalavan; Wareham, Nicholas J.; Kaprio, Jaakko; Wang, Xin-Qun; Trochet, Holly; Kaonen, Mika; Flexeder, Claudia; Albrecht, Eva; Lopez, Lorna M.; de Jong, Kim; Thyagarajan, Bharat; Alves, Alexessander Couto; Enroth, Stefan; Omenaas, Ernst; Joshi, Peter K.; Fall, Tove; Vinuela, Ana; Launer, Lenore J.; Loehr, Laura R.; Fornage, Myriam; Li, Guo; Wik, Jemma B.; Tang, Wenbo; Manichaikul, Ani; Lahousse, Lies; Harris, Tamara B.; North, Kari E.; Rudnicka, Alicja R.; Hui, Jennie; Gu, Xiangjun; Lumley, Thomas; Wright, Alan F.; Hastie, Nicholas D.; Campbell, Susan; Kumar, Rajesh; Pin, Isabelle; Scott, Robert A.; Pietilainen, Kirsi H.; Surakka, Ida; Liu, Yongmei; Holliday, Elizabeth G.; Schulz, Holger; Heinrich, Joachim; Davies, Gail; Vonk, Judith M.; Wojczynski, Mary; Pouta, Anneli; Johansson, Asa; Wild, Sarah H.; Ingelsson, Erik; Rivadeneira, Fernando; Voezke, Henry; Hysi, Pirro G.; Eiriksdottir, Gudny; Morrison, Alanna C.; Rotter, Jerome I.; Gao, Wei; Postma, Dirkje S.; White, Wendy B.; Rich, Stephen S.; Hofman, Albert; Aspelund, Thor; Couper, David; Smith, Lewis J.; Psaty, Bruce M.; Lohman, Kurt; Burchard, Esteban G.; Uitterlinden, Andre G.; Garcia, Melissa; Joubert, Bonnie R.; McArdle, Wendy L.; Musk, A. Bill; Hansel, Nadia; Heckbert, Susan R.; Zgaga, Lina; van Meurs, Joyce B. J.; Navarro, Pau; Rudan, Igor; Oh, Yeon-Mok; Redline, Susan; Jarvis, Deborah L.; Rantanen, Taina; O'Connor, George T.; Ripatti, Samuli; Scott, Rodney J.; Karrasch, Stefan; Grallert, Harald; Gaddis, Nathan C.; Starr, John M.; Wijmenga, Cisca; Minster, Ryan L.; Lederer, David J.; Pekkanen, Juha; Gyllensten, Ulf; Campbe, Harry; Morris, Andrew P.; Glaeser, Sven; Hammond, Christopher J.; Burkart, Kristin M.; Beilby, John; Kritchevsky, Stephen B.; Gucinason, Vilrnundur; Hancock, Dana B.; Williams, Dale; Polasek, Ozren; Zemunik, Tatijana; Kolcic, Ivana; Petrini, Marcy F.; Wjst, Matthias; Kim, Woo Jin; Porteous, David J.; Scotland, Generation; Smith, Blair H.; Villanen, Anne; Heliovaara, Markku; Attia, John R.; Sayers, Ian; Hampel, Regina; Gieger, Christian; Deary, Ian J.; Boezen, Hendrika; Newman, Anne; Jarvelin, Marjo-Riitta; Wilson, James F.; Lind, Lars; Stricker, Bruno H.; Teumer, Alexander; Spector, Timothy D.; Melen, Erik; Peters, Marjolein J.; Lange, Leslie A.; Barr, R. Graham; Bracke, Ken R.; Verhamme, Fien M.; Sung, Joohon; Hiemstra, Pieter S.; Cassano, Patricia A.; Sood, Akshay; Hayward, Caroline; Dupuis, Josee; Hall, Ian P.; Brusselle, Guy G.; Tobin, Martin D.; London, Stephanie J.

    2014-01-01

    Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917 addit

  20. Genome-wide association study identifies multiple susceptibility loci for multiple myeloma

    DEFF Research Database (Denmark)

    Mitchell, Jonathan S; Li, Ni; Weinhold, Niels;

    2016-01-01

    Multiple myeloma (MM) is a plasma cell malignancy with a significant heritable basis. Genome-wide association studies have transformed our understanding of MM predisposition, but individual studies have had limited power to discover risk loci. Here we perform a meta-analysis of these GWAS, add a ...

  1. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

    NARCIS (Netherlands)

    O'Dushlaine, Colm; Rossin, Lizzy; Lee, Phil H.; Duncan, Laramie; Parikshak, Neelroop N.; Newhouse, Stephen; Ripke, Stephan; Neale, Benjamin M.; Purcell, Shaun M.; Posthuma, Danielle; Nurnberger, John I.; Lee, S. Hong; Faraone, Stephen V.; Perlis, Roy H.; Mowry, Bryan J.; Thapar, Anita; Goddard, Michael E.; Witte, John S.; Absher, Devin; Agartz, Ingrid; Akil, Huda; Amin, Farooq; Andreassen, Ole A.; Anjorin, Adebayo; Anney, Richard; Anttila, Verneri; Arking, Dan E.; Asherson, Philip; Azevedo, Maria H.; Backlund, Lena; Badner, Judith A.; Bailey, Anthony J.; Banaschewski, Tobias; Barchas, Jack D.; Barnes, Michael R.; Barrett, Thomas B.; Bass, Nicholas; Battaglia, Agatino; Bauer, Michael; Bayes, Monica; Bellivier, Frank; Bergen, Sarah E.; Berrettini, Wade; Betancur, Catalina; Bettecken, Thomas; Biederman, Joseph; Binder, Elisabeth B.; Black, Donald W.; Blackwood, Douglas H. R.; Bloss, Cinnamon S.; Boehnke, Michael; Boomsma, Dorret I.; Breuer, Rene; Bruggeman, Richard; Cormican, Paul; Buccola, Nancy G.; Buitelaar, Jan K.; Bunney, William E.; Buxbaum, Joseph D.; Byerley, William F.; Byrne, Enda M.; Caesar, Sian; Cahn, Wiepke; Cantor, Rita M.; Casas, Miguel; Chakravarti, Aravinda; Chambert, Kimberly; Choudhury, Khalid; Cichon, Sven; Mattheisen, Manuel; Cloninger, C. Robert; Collier, David A.; Cook, Edwin H.; Coon, Hilary; Cormand, Bru; Corvin, Aiden; Coryell, William H.; Craig, David W.; Craig, Ian W.; Crosbie, Jennifer; Cuccaro, Michael L.; Curtis, David; Czamara, Darina; Datta, Susmita; Dawson, Geraldine; Day, Richard; De Geus, Eco J.; Degenhardt, Franziska; Djurovic, Srdjan; Donohoe, Gary J.; Doyle, Alysa E.; Duan, Jubao; Dudbridge, Frank; Duketis, Eftichia; Ebstein, Richard P.; Edenberg, Howard J.; Elia, Josephine; Ennis, Sean; Etain, Bruno; Fanous, Ayman; Farmer, Anne E.; Ferrier, I. Nicol; Flicldnger, Matthew; Fombonne, Eric; Foroud, Tatiana; Frank, Josef; Franke, Barbara; Fraser, Christine; Freedman, Robert; Freimer, Nelson B.; Freitag, Christine M.; Friedl, Marion; Frisen, Louise; Gailagher, Louise; Gejman, Pablo V.; Georgieva, Lyudmila; Gershon, Elliot S.; Giegling, Ina; Gill, Michael; Gordon, Scott D.; Gordon-Smith, Katherine; Green, Elaine K.; Greenwood, Tiffany A.; Grice, Dorothy E.; Gross, Magdalena; Grozeva, Detelina; Guan, Weihua; Gurling, Hugh; De Haan, Lieuwe; Haines, Jonathan L.; Hakonarson, Hakon; Hallmayer, Joachim; Hamilton, Steven P.; Hamshere, Marian L.; Hansen, Thomas F.; Hartmann, Annette M.; Hautzinger, Martin; Heath, Andrew C.; Henders, Anjali K.; Herms, Stefan; Hickie, Ian B.; Hipolito, Maria; Hoefels, Susanne; Holsboer, Florian; Hoogendijk, Witte J.; Hottenga, Jouke-Jan; Hultman, Christina M.; Hus, Vanessa; Ingason, Andres; Ising, Marcus; Jamain, Stephane; Jones, Edward G.; Jones, Ian; Jones, Lisa; Tzeng, Jung-Ying; Kaehler, Anna K.; Kahn, Rene S.; Kandaswamy, Radhika; Keller, Matthew C.; Kennedy, James L.; Kenny, Elaine; Kent, Lindsey; Kim, Yunjung; Kirov, George K.; Klauck, Sabine M.; Klei, Lambertus; Knowles, James A.; Kohli, Martin A.; Koller, Daniel L.; Konte, Bettina; Korszun, Ania; Krabbendam, Lydia; Krasucki, Robert; Kuntsi, Jonna; Kwan, Phoenix; Landen, Mikael; Laengstroem, Niklas; Lathrop, Mark; Lawrence, Jacob; Lawson, William B.; Leboyer, Marion; Ledbetter, David H.; Lencz, Todd; Lesch, Klaus-Peter; Levinson, Douglas F.; Lewis, Cathryn M.; Li, Jun; Lichtenstein, Paul; Lieberman, Jeffrey A.; Lin, Dan-Yu; Linszen, Don H.; Liu, Chunyu; Lohoff, Falk W.; Loo, Sandra K.; Lord, Catherine; Lowe, Jennifer K.; Lucae, Susanne; MacIntyre, Donald J.; Madden, Pamela A. F.; Maestrini, Elena; Magnusson, Patrik K. E.; Mahon, Pamela B.; Maier, Wolfgang; Malhotra, Anil K.; Mane, Shrikant M.; Martin, Christa L.; Martin, Nicholas G.; Matthews, Keith; Mattingsdal, Morten; McCarroll, Steven A.; McGhee, Kevin A.; McGough, James J.; McGrath, Patrick J.; McGuffin, Peter; McInnis, Melvin G.; McIntosh, Andrew; McKinney, Rebecca; McLean, Alan W.; McMahon, Francis J.; McMahon, William M.; McQuillin, Andrew; Medeiros, Helena; Medland, Sarah E.; Meier, Sandra; Melle, Ingrid; Meng, Fan; Meyer, Jobst; Middeldorp, Christel M.; Middleton, Lefkos; Milanova, Vihra; Miranda, Ana; Monaco, Anthony P.; Montgomery, Grant W.; Moran, Jennifer L.; Moreno-De-Luca, Daniel; Morken, Gunnar; Morris, Derek W.; Morrow, Eric M.; Moskvina, Valentina; Muglia, Pierandrea; Muehleisen, Thomas W.; Muir, Walter J.; Mueller-Myhsok, Bertram; Murtha, Michael; Myers, Richard M.; Myin-Germeys, Inez; Neale, Michael C.; Nelson, Stan F.; Nievergelt, Caroline M.; Nikolov, Ivan; Nimgaonkar, Vishwajit; Nolen, Willem A.; Noethen, Markus M.

    Genome-wide association studies (GWAS) of psychiatric disorders have identified multiple genetic associations with such disorders, but better methods are needed to derive the underlying biological mechanisms that these signals indicate. We sought to identify biological pathways in GWAS data from

  2. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

    NARCIS (Netherlands)

    Lee, S. Hong; Ripke, Stephan; Neale, Benjamin M.; Faraone, Stephen V.; Purcell, Shaun M.; Perlis, Roy H.; Mowry, Bryan J.; Thapar, Anita; Goddard, Michael E.; Witte, John S.; Absher, Devin; Agartz, Ingrid; Akil, Huda; Amin, Farooq; Andreassen, Ole A.; Anjorin, Adebayo; Anney, Richard; Anttila, Verneri; Arking, Dan E.; Asherson, Philip; Azevedo, Maria H.; Backlund, Lena; Badner, Judith A.; Bailey, Anthony J.; Banaschewski, Tobias; Barchas, Jack D.; Barnes, Michael R.; Barrett, Thomas B.; Bass, Nicholas; Battaglia, Agatino; Bauer, Michael; Bayes, Monica; Bellivier, Frank; Bergen, Sarah E.; Berrettini, Wade; Betancur, Catalina; Bettecken, Thomas; Biederman, Joseph; Binder, Elisabeth B.; Black, Donald W.; Blackwood, Douglas H. R.; Bloss, Cinnamon S.; Boehnke, Michael; Boomsma, Dorret I.; Breen, Gerome; Breuer, Rene; Bruggeman, Richard; Cormican, Paul; Buccola, Nancy G.; Buitelaar, Jan K.; Bunney, William E.; Buxbaum, Joseph D.; Byerley, William F.; Byrne, Enda M.; Caesar, Sian; Cahn, Wiepke; Cantor, Rita M.; Casas, Miguel; Chakravarti, Aravinda; Chambert, Kimberly; Choudhury, Khalid; Cichon, Sven; Cloninger, C. Robert; Collier, David A.; Cook, Edwin H.; Coon, Hilary; Cormand, Bru; Corvin, Aiden; Coryell, William H.; Craig, David W.; Craig, Ian W.; Crosbie, Jennifer; Cuccaro, Michael L.; Curtis, David; Czamara, Darina; Datta, Susmita; Dawson, Geraldine; Day, Richard; De Geus, Eco J.; Degenhardt, Franziska; Djurovic, Srdjan; Donohoe, Gary J.; Doyle, Alysa E.; Duan, Jubao; Dudbridge, Frank; Duketis, Eftichia; Ebstein, Richard P.; Edenberg, Howard J.; Elia, Josephine; Ennis, Sean; Etain, Bruno; Fanous, Ayman; Farmer, Anne E.; Ferrier, I. Nicol; Flickinger, Matthew; Fombonne, Eric; Foroud, Tatiana; Frank, Josef; Franke, Barbara; Fraser, Christine; Freedman, Robert; Freimer, Nelson B.; Freitag, Christine M.; Friedl, Marion; Frisen, Louise; Gallagher, Louise; Gejman, Pablo V.; Georgieva, Lyudmila; Gershon, Elliot S.; Geschwind, Daniel H.; Giegling, Ina; Gill, Michael; Gordon, Scott D.; Gordon-Smith, Katherine; Green, Elaine K.; Greenwood, Tiffany A.; Grice, Dorothy E.; Gross, Magdalena; Grozeva, Detelina; Guan, Weihua; Gurling, Hugh; De Haan, Lieuwe; Haines, Jonathan L.; Hakonarson, Hakon; Hallmayer, Joachim; Hamilton, Steven P.; Hamshere, Marian L.; Hansen, Thomas F.; Hartmann, Annette M.; Hautzinger, Martin; Heath, Andrew C.; Henders, Anjali K.; Herms, Stefan; Hickie, Ian B.; Hipolito, Maria; Hoefels, Susanne; Holmans, Peter A.; Holsboer, Florian; Hoogendijk, Witte J.; Hottenga, Jouke-Jan; Hultman, Christina M.; Hus, Vanessa; Ingason, Andres; Ising, Marcus; Jamain, Stephane; Jones, Edward G.; Jones, Ian; Jones, Lisa; Tzeng, Jung-Ying; Kaehler, Anna K.; Kahn, Rene S.; Kandaswamy, Radhika; Keller, Matthew C.; Kennedy, James L.; Kenny, Elaine; Kent, Lindsey; Kim, Yunjung; Kirov, George K.; Klauck, Sabine M.; Klei, Lambertus; Knowles, James A.; Kohli, Martin A.; Koller, Daniel L.; Konte, Bettina; Korszun, Ania; Krabbendam, Lydia; Krasucki, Robert; Kuntsi, Jonna; Kwan, Phoenix; Landen, Mikael; Langstrom, Niklas; Lathrop, Mark; Lawrence, Jacob; Lawson, William B.; Leboyer, Marion; Ledbetter, David H.; Lee, Phil H.; Lencz, Todd; Lesch, Klaus-Peter; Levinson, Douglas F.; Lewis, Cathryn M.; Li, Jun; Lichtenstein, Paul; Lieberman, Jeffrey A.; Lin, Dan-Yu; Linszen, Don H.; Liu, Chunyu; Lohoff, Falk W.; Loo, Sandra K.; Lord, Catherine; Lowe, Jennifer K.; Lucae, Susanne; MacIntyre, Donald J.; Madden, Pamela A. F.; Maestrini, Elena; Magnusson, Patrik K. E.; Mahon, Pamela B.; Maier, Wolfgang; Malhotra, Anil K.; Mane, Shrikant M.; Martin, Christa L.; Martin, Nicholas G.; Mattheisen, Manuel; Matthews, Keith; Mattingsdal, Morten; McCarroll, Steven A.; McGhee, Kevin A.; McGough, James J.; McGrath, Patrick J.; McGuffin, Peter; McInnis, Melvin G.; McIntosh, Andrew; McKinney, Rebecca; McLean, Alan W.; McMahon, Francis J.; McMahon, William M.; McQuillin, Andrew; Medeiros, Helena; Medland, Sarah E.; Meier, Sandra; Melle, Ingrid; Meng, Fan; Meyer, Jobst; Middeldorp, Christel M.; Middleton, Lefkos; Milanova, Vihra; Miranda, Ana; Monaco, Anthony P.; Montgomery, Grant W.; Moran, Jennifer L.; Moreno-De-Luca, Daniel; Morken, Gunnar; Morris, Derek W.; Morrow, Eric M.; Moskvina, Valentina; Muglia, Pierandrea; Muehleisen, Thomas W.; Muir, Walter J.; Mueller-Myhsok, Bertram; Murtha, Michael; Myers, Richard M.; Myin-Germeys, Inez; Neale, Michael C.; Nelson, Stan F.; Nievergelt, Caroline M.; Nikolov, Ivan; Nimgaonkar, Vishwajit; Nolen, Willem A.; Noethen, Markus M.; Nurnberger, John I.; Nwulia, Evaristus A.; Nyholt, Dale R.; O'Dushlaine, Colm; Oades, Robert D.

    Most psychiatric disorders are moderately to highly heritable. The degree to which genetic variation is unique to individual disorders or shared across disorders is unclear. To examine shared genetic etiology, we use genome-wide genotype data from the Psychiatric Genomics Consortium (PGC) for cases

  3. A mega-analysis of genome-wide association studies for major depressive disorder

    NARCIS (Netherlands)

    Sullivan, Patrick F.; Daly, Mark J.; Ripke, Stephan; Lewis, Cathryn M.; Lin, Dan-Yu; Wray, Naomi R.; Neale, Benjamin; Levinson, Douglas F.; Breen, Gerome; Byrne, Enda M.; Wray, Naomi R.; Levinson, Douglas F.; Rietschel, Marcella; Hoogendijk, Witte; Ripke, Stephan; Sullivan, Patrick F.; Hamilton, Steven P.; Levinson, Douglas F.; Lewis, Cathryn M.; Ripke, Stephan; Weissman, Myrna M.; Wray, Naomi R.; Breuer, Rene; Cichon, Sven; Degenhardt, Franziska; Frank, Josef; Gross, Magdalena; Herms, Stefan; Hoefels, Susanne; Maier, Wolfgang; Mattheisen, Manuel; Noeethen, Markus M.; Rietschel, Marcella; Schulze, Thomas G.; Steffens, Michael; Treutlein, Jens; Boomsma, Dorret I.; De Geus, Eco J.; Hoogendijk, Witte; Hottenga, Jouke Jan; Jung-Ying, Tzeng; Lin, Dan-Yu; Middeldorp, Christel M.; Nolen, Willem A.; Penninx, Brenda P.; Smit, Johannes H.; Sullivan, Patrick F.; van Grootheest, Gerard; Willemsen, Gonneke; Zitman, Frans G.; Coryell, William H.; Knowles, James A.; Lawson, William B.; Levinson, Douglas F.; Potash, James B.; Scheftner, William A.; Shi, Jianxin; Weissman, Myrna M.; Holsboer, Florian; Muglia, Pierandrea; Tozzi, Federica; Blackwood, Douglas H. R.; Boomsma, Dorret I.; De Geus, Eco J.; Hottenga, Jouke Jan; MacIntyre, Donald J.; McIntosh, Andrew; McLean, Alan; Middeldorp, Christel M.; Penninx, Brenda P.; Ripke, Stephan; Smit, Johannes H.; Sullivan, Patrick F.; van Grootheest, Gerard; Willemsen, Gonneke; Zitman, Frans G.; van den Oord, Edwin J. C. G.; Holsboer, Florian; Lucae, Susanne; Binder, Elisabeth; Mueller-Myhsok, Bertram; Ripke, Stephan; Czamara, Darina; Kohli, Martin A.; Ising, Marcus; Uhr, Manfred; Bettecken, Thomas; Barnes, Michael R.; Breen, Gerome; Craig, Ian W.; Farmer, Anne E.; Lewis, Cathryn M.; McGuffin, Peter; Muglia, Pierandrea; Byrne, Enda; Gordon, Scott D.; Heath, Andrew C.; Henders, Anjali K.; Hickie, Ian B.; Madden, Pamela A. F.; Martin, Nicholas G.; Montgomery, Grant M.; Nyholt, Dale R.; Pergadia, Michele L.; Wray, Naomi R.; Hamilton, Steven P.; McGrath, Patrick J.; Shyn, Stanley I.; Slager, Susan L.; Oskarsson, Hoegni; Sigurdsson, Engilbert; Stefansson, Hreinn; Stefansson, Kari; Steinberg, Stacy; Thorgeirsson, Thorgeir; Levinson, Douglas F.; Potash, James B.; Shi, Jianxin; Weissman, Myrna M.; Guipponi, Michel; Lewis, Glyn; O'Donovan, Michael; Tansey, Katherine E.; Uher, Rudolf; Coryell, William H.; Knowles, James A.; Lawson, William B.; Levinson, Douglas F.; Potash, James B.; Scheftner, William A.; Shi, Jianxin; Weissman, Myrna M.; Castro, Victor M.; Churchill, Susanne E.; Fava, Maurizio; Gainer, Vivian S.; Gallagher, Patience J.; Goryachev, Sergey; Iosifescu, Dan V.; Kohane, Isaac S.; Murphy, Shawn N.; Perlis, Roy H.; Smoller, Jordan W.; Weilburg, Jeffrey B.; Kutalik, Zoltan; Preisig, Martin; Grabe, Hans J.; Nauck, Matthias; Schulz, Andrea; Teumer, Alexander; Voelzke, Henry; Landen, Mikael; Lichtenstein, Paul; Magnusson, Patrik; Pedersen, Nancy; Viktorin, Alexander

    Prior genome-wide association studies (GWAS) of major depressive disorder (MDD) have met with limited success. We sought to increase statistical power to detect disease loci by conducting a GWAS mega-analysis for MDD. In the MDD discovery phase, we analyzed more than 1.2 million autosomal and X

  4. Genome-wide gene expression profiling of testicular carcinoma in situ progression into overt tumours

    DEFF Research Database (Denmark)

    Almstrup, K; Hoei-Hansen, C E; Nielsen, J E

    2005-01-01

    into CIS occurs early during foetal life. Progression into an overt tumour, however, typically first happens after puberty, where CIS cells transform into either a seminoma (SEM) or a nonseminoma (N-SEM). Here, we have compared the genome-wide gene expression of CIS cells to that of testicular SEM...

  5. Single-tube linear DNA amplification for genome-wide studies using a few thousand cells

    NARCIS (Netherlands)

    Shankaranarayanan, P.; Mendoza-Parra, M.A.; Gool, van W.; Trindade, L.M.; Gronemeyer, H.

    2012-01-01

    Linear amplification of DNA (LinDA) by T7 polymerase is a versatile and robust method for generating sufficient amounts of DNA for genome-wide studies with minute amounts of cells. LinDA can be coupled to a great number of global profiling technologies. Indeed, chromatin immunoprecipitation coupled

  6. Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function

    NARCIS (Netherlands)

    D.B. Hancock (Dana); M. Eijgelsheim (Mark); J.B. Wilk (Jemma); S.A. Gharib (Sina); L.R. Loehr (Laura); K. Marciante (Kristin); N. Franceschini (Nora); Y.M.T.A. van Durme; T.H. Chen; R.G. Barr (Graham); M.B. Schabath (Matthew); D.J. Couper (David); G.G. Brusselle (Guy); B.M. Psaty (Bruce); P. Tikka-Kleemola (Päivi); J.I. Rotter (Jerome); A.G. Uitterlinden (André); A. Hofman (Albert); N.M. Punjabi (Naresh); F. Rivadeneira Ramirez (Fernando); A.C. Morrison (Alanna); P.L. Enright (Paul); K.E. North (Kari); S.R. Heckbert (Susan); T. Lumley (Thomas); B.H.Ch. Stricker (Bruno); G.T. O'Connor (George); S.J. London (Stephanie)

    2010-01-01

    textabstractSpirometric measures of lung function are heritable traits that reflect respiratory health and predict morbidity and mortality. We meta-analyzed genome-wide association studies for two clinically important lung-function measures: forced expiratory volume in the first second (FEV1) and it

  7. Genome-wide association study of insect bite hypersensitivity in Dutch Shetland pony mares

    NARCIS (Netherlands)

    Schurink, A.; Ducro, B.J.; Bastiaansen, J.W.M.; Frankena, K.; Arendonk, van J.A.M.

    2013-01-01

    Insect bite hypersensitivity (IBH) is the most common allergic disease present in horses worldwide. It has been shown that IBH is under genetic control, but the knowledge of associated genes is limited. We conducted a genome-wide association study to identify and quantify genomic regions contributin

  8. Genome-wide association studies (GWAS) and their importance in asthma

    National Research Council Canada - National Science Library

    García-Sánchez, A; Isidoro-García, M; García-Solaesa, V; Sanz, C; Hernández-Hernández, L; Padrón-Morales, J; Lorente-Toledano, F; Dávila, I

    ...: the so-called genome-wide association studies (GWAS). The first GWAS was published in 2007, and described a new locus associated to asthma in chromosome 17q12-q21, involving the ORMDL3, GSDMB and ZPBP2 genes...

  9. Genome-wide association study identifies four loci associated with eruption of permanent teeth

    DEFF Research Database (Denmark)

    Geller, Frank; Feenstra, Bjarke; Zhang, Hao

    2011-01-01

    The sequence and timing of permanent tooth eruption is thought to be highly heritable and can have important implications for the risk of malocclusion, crowding, and periodontal disease. We conducted a genome-wide association study of number of permanent teeth erupted between age 6 and 14 years...

  10. Genome-wide association mapping for female fertility traits in Danish and Swedish Holstein cattle

    DEFF Research Database (Denmark)

    Sahana, G; Guldbrandtsen, B; Bendixen, C;

    2010-01-01

    A genome-wide association study was conducted using a mixed model analysis for QTL for fertility traits in Danish and Swedish Holstein cattle. The analysis incorporated 2,531 progeny tested bulls, and a total of 36 387 SNP markers on 29 bovine autosomes were used. Eleven fertility traits were...

  11. Genome-wide pathway analysis identifies oxidative stress related gene MSRA as rheumatoid arthritis susceptibility locus

    NARCIS (Netherlands)

    Martin, Jose Ezequiel; Alizadeh, Behrooz Z.; Gonzalez-Gay, Miguel A.; Balsa, Alejandro; Pascual-Salcedo, Dora; Fernandez-Gutierrez, Benjamín; Raya, Enrique

    2010-01-01

    Objective: Genome-wide association studies (GWASs) carried out in rheumatoid arthritis (RA) have led to the discovery of several genetic associations with this disease. Still, the current associated genetic variations can explain only part of the genetic risk involved in RA, and it is well recognise

  12. A genome-wide association study identifies an osteoarthritis susceptibility locus on chromosome 7q22

    NARCIS (Netherlands)

    J.M. Kerkhof (Hanneke); R.J. Lories (Rik); I. Meulenbelt (Ingrid); I. Jonsdottir (Ingileif); A.M. Valdes (Ana Maria); P.P. Arp (Pascal); T. Ingvarsson (Torvaldur); M. Jhamai (Mila); H. Jonsson (Helgi); L. Stolk (Lisette); G. Thorleifsson (Gudmar); G. Zhai (Guangju); F. Zhang (Feng); Y. Zhu (Yicheng); R. van der Breggen (Ruud); M. Doherty (Michael); D. Felson; A. Gonzalez (Antonio); B.V. Halldorsson (Bjarni); D.J. Hart (Deborah); V.B. Hauksson (Valdimar); A. Hofman (Albert); J.P.A. Ioannidis (John); M. Kloppenburg (Margreet); N.E. Lane (Nancy); J. Loughlin (John); F.P. Luyten (Frank); M.C. Nevitt (Michael); N. Parimi (Neeta); H.A.P. Pols (Huib); F. Rivadeneira Ramirez (Fernando); E. Slagboom (Eline); U. Styrkarsdottir (Unnur); A. Tsezou (Aspasia); T. van de Putte (Tom); J. Zmuda (Joseph); T.D. Spector (Timothy); J-A. Zwart (John-Anker); A.G. Uitterlinden (André); J.B.J. van Meurs (Joyce); A.J. Carr (Andrew Jonathan)

    2010-01-01

    markdownabstract__Objective__ To identify novel genes involved in osteoarthritis (OA), by means of a genome-wide association study. Methods. We tested 500,510 single-nucleotide polymorphisms (SNPs) in 1,341 Dutch Caucasian OA cases and 3,496 Dutch Caucasian controls. SNPs associated with at least 2

  13. Genome-wide gene expression regulation as a function of genotype and age in C. elegans

    NARCIS (Netherlands)

    Viñuela Rodriguez, A.; Snoek, L.B.; Riksen, J.A.G.; Kammenga, J.E.

    2010-01-01

    Gene expression becomes more variable with age, and it is widely assumed that this is due to a decrease in expression regulation. But currently there is no understanding how gene expression regulatory patterns progress with age. Here we explored genome-wide gene expression variation and regulatory l

  14. Novel genetic loci underlying human intracranial volume identified through genome-wide association

    NARCIS (Netherlands)

    Adams, Hieab H. H.; Hibar, Derrek P.; Chouraki, Vincent; Stein, Jason L.; Nyquist, Paul A.; Renteria, Miguel E.; Trompet, Stella; Arias-Vasquez, Alejandro; Seshadri, Sudha; Desrivieres, Sylvane; Beecham, Ashley H.; Jahanshad, Neda; Wittfeld, Katharine; Van der Lee, Sven J.; Abramovic, Lucija; Alhusaini, Saud; Amin, Najaf; Andersson, Micael; Arfanakis, Konstantinos; Aribisala, Benjamin S.; Armstrong, Nicola J.; Athanasiu, Lavinia; Axelsson, Tomas; Beiser, Alexa; Bernard, Manon; Bis, Joshua C.; Blanken, Laura M. E.; Blanton, Susan H.; Bohlken, Marc M.; Boks, Marco P.; Bralten, Janita; Brickman, Adam M.; Carmichael, Owen; Chakravarty, M. Mallar; Chauhan, Ganesh; Chen, Qiang; Ching, Christopher R. K.; Cuellar-Partida, Gabriel; Den Braber, Anouk; Doan, Nhat Trung; Ehrlich, Stefan; Filippi, Irina; Ge, Tian; Giddaluru, Sudheer; Goldman, Aaron L.; Gottesman, Rebecca F.; Greven, Corina U.; Grimm, Oliver; Griswold, Michael E.; Guadalupe, Tulio; Hass, Johanna; Haukvik, Unn K.; Hilal, Saima; Hofer, Edith; Hoehn, David; Holmes, Avram J.; Hoogman, Martine; Janowitz, Deborah; Jia, Tianye; Kasperaviciute, Dalia; Kim, Sungeun; Klein, Marieke; Kraemer, Bernd; Lee, Phil H.; Liao, Jiemin; Liewald, David C. M.; Lopez, Lorna M.; Luciano, Michelle; Macare, Christine; Marquand, Andre; Matarin, Mar; Mather, Karen A.; Mattheisen, Manuel; Mazoyer, Bernard; Mckay, David R.; McWhirter, Rebekah; Milaneschi, Yuri; Mirza-Schreiber, Nazanin; Muetzel, Ryan L.; Maniega, Susana Munoz; Nho, Kwangsik; Nugent, Allison C.; Loohuis, Loes M. Olde; Oosterlaan, Jaap; Papmeyer, Martina; Pappa, Irene; Pirpamer, Lukas; Pudas, Sara; Puetz, Benno; Rajan, Kumar B.; Ramasamy, Adaikalavan; Richards, Jennifer S.; Risacher, Shannon L.; Roiz-Santianez, Roberto; Rommelse, Nanda; Rose, Emma J.; Royle, Natalie A.; Rundek, Tatjana; Saemann, Philipp G.; Satizabal, Claudia L.; Schmaal, Lianne; Schork, Andrew J.; Shen, Li; Shin, Jean; Shumskaya, Elena; Smith, Albert V.; Sprooten, Emma; Strike, Lachlan T.; Teumer, Alexander; Thomson, Russell; Tordesillas-Gutierrez, Diana; Toro, Roberto; Trabzuni, Daniah; Vaidya, Dhananjay; Van der Grond, Jeroen; Van der Meer, Dennis; Van Donkelaar, Marjolein M. J.; Van Eijk, Kristel R.; Van Erp, Theo G. M.; Van Rooij, Daan; Walton, Esther; Westlye, Lars T.; Whelan, Christopher D.; Windham, Beverly G.; Winkler, Anderson M.; Woldehawariat, Girma; Wolf, Christiane; Wolfers, Thomas; Xu, Bing; Yanek, Lisa R.; Yang, Jingyun; Zijdenbos, Alex; Zwiers, Marcel P.; Agartz, Ingrid; Aggarwal, Neelum T.; Almasy, Laura; Ames, David; Amouyel, Philippe; Andreassen, Ole A.; Arepalli, Sampath; Assareh, Amelia A.; Barral, Sandra; Bastin, Mark E.; Becker, Diane M.; Becker, James T.; Bennett, David A.; Blangero, John; van Bokhoven, Hans; Boomsma, Dorret I.; Brodaty, Henry; Brouwer, Rachel M.; Brunner, Han G.; Buckner, Randy L.; Buitelaar, Jan K.; Bulayeva, Kazima B.; Cahn, Wiepke; Calhoun, Vince D.; Cannon, Dara M.; Cavalleri, Gianpiero L.; Chen, Christopher; Cheng, Ching -Yu; Cichon, Sven; Cookson, Mark R.; Corvin, Aiden; Crespo-Facorro, Benedicto; Curran, Joanne E.; Czisch, Michael; Dale, Anders M.; Davies, Gareth E.; De Geus, Eco J. C.; De Jager, Philip L.; de Zubicaray, Greig I.; Delanty, Norman; Depondt, Chantal; DeStefano, Anita L.; Dillman, Allissa; Djurovic, Srdjan; Donohoe, Gary; Drevets, Wayne C.; Duggirala, Ravi; Dyer, Thomas D.; Erk, Susanne; Espeseth, Thomas; Evans, Denis A.; Fedko, Iryna; Fernandez, Guillen; Ferrucci, Luigi; Fisher, Simon E.; Fleischman, Debra A.; Ford, Ian; Foroud, Tatiana M.; Fox, Peter T.; Francks, Clyde; Fukunaga, Masaki; Gibbs, J. Raphael; Glahn, David C.; Gollub, Randy L.; Goring, Harald H. H.; Grabe, Hans J.; Green, Robert C.; Gruber, Oliver; Gudnason, Vilmundur; Guelfi, Sebastian; Hansell, Narelle K.; Hardy, John; Hartman, Catharina A.; Hashimoto, Ryota; Hegenscheid, Katrin; Heinz, Andreas; Le Hellard, Stephanie; Hernandez, Dena G.; Heslenfeld, Dirk J.; Ho, Beng-Choon; Hoekstra, Pieter J.; Hoffmann, Wolfgang; Hofman, Albert; Holsboer, Florian; Homuth, Georg; Hosten, Norbert; Hottenga, Jouke-Jan; Pol, Hilleke E. Hulshoff; Ikeda, Masashi; Ikram, M. Kamran; Jack, Clifford R.; Jenldnson, Mark; Johnson, Robert; Jonsson, Erik G.; Jukema, J. Wouter; Kahn, Rene S.; Kanai, Ryota; Kloszewska, Iwona; Knopman, David S.; Kochunov, Peter; Kwok, John B.; Lawrie, Stephen M.; Lemaitre, Herve; Liu, Xinmin; Longo, Dan L.; Longstreth, W. T.; Lopez, Oscar L.; Lovestone, Simon; Martinez, Oliver; Martinot, Jean-Luc; Mattay, Venkata S.; McDonald, Colm; McIntosh, Andrew M.; McMahon, Katie L.; McMahon, Francis J.; Mecocci, Patrizia; Melle, Ingrid; Meyer-Lindenberg, Andreas; Mohnke, Sebastian; Montgomery, Grant W.; Morris, Derek W.; Mosley, Thomas H.; Muhleisen, Thomas W.; Mueller-Myhsok, Bertram; Nalls, Michael A.; Nauck, Matthias; Nichols, Thomas E.; Niessen, Wiro J.; Noethen, Markus M.; Nyberg, Lars; Ohi, Kazutaka; Olvera, Rene L.; Ophoff, Roel A.; Pandolfo, Massimo; Paus, Tomas; Pausova, Zdenka; Penninx, Brenda W. J. H.; Pike, G. Bruce; Potkin, Steven G.; Psaty, Bruce M.; Reppermund, Simone; Rietschel, Marcella; Roffman, Joshua L.; Romanczuk-Seiferth, Nina; Rotter, Jerome I.; Ryten, Mina; Sacco, Ralph L.; Sachdev, Perminder S.; Saykin, Andrew J.; Schmidt, Reinhold; Schofield, Peter R.; Sigurdsson, Sigurdur; Simmons, Andy; Singleton, Andrew; Sisodiya, Sanjay M.; Smith, Colin; Smoller, Jordan W.; Soininen, Hindu.; Srikanth, Velandai; Steen, Vidar M.; Stott, David J.; Sussmann, Jessika E.; Thalamuthu, Anbupalam; Tiemeier, Henning; Toga, Arthur W.; Traynor, Bryan J.; Troncoso, Juan; Turner, Jessica A.; Tzourio, Christophe; Uitterlinden, Andre G.; Hernandez, Maria C. Valdes; Van der Brug, Marcel; Van der Lugt, Aad; Van der Wee, Nic J. A.; Van Duijn, Cornelia M.; Van Haren, Neeltje E. M.; Van't Ent, Dennis; Van Tol, Marie Jose; Vardarajan, Badri N.; Veltman, Dick J.; Vernooij, Meike W.; Voelzke, Henry; Walter, Henrik; Wardlaw, Joanna M.; Wassink, Thomas H.; Weale, Michael E.; Weinberger, Daniel R.; Weiner, Michael W.; Wen, Wei; Westman, Eric; White, Tonya; Wong, Tien Y.; Wright, Clinton B.; Zielke, H. Ronald; Zonderman, Alan B.; Deary, Ian J.; DeCarli, Charles; Schmidt, Helena; Martin, Nicholas G.; De Craen, Anton J. M.; Wright, Margaret J.; Launer, Lenore J.; Schumann, Gunter; Fornage, Myriam; Franke, Barbara; Debette, Stephanie; Medland, Sarah E.; Ikram, M. Arfan; Thompson, Paul M.

    2016-01-01

    Intracranial volume reflects the maximally attained brain size during development, and remains stable with loss of tissue in late life. It is highly heritable, but the underlying genes remain largely undetermined. In a genome-wide association study of 32,438 adults, we discovered five previously unk

  15. Genome-wide association study identifies 74 loci associated with educational attainment

    NARCIS (Netherlands)

    Okbay, Aysu; Beauchamp, Jonathan P.; Fontana, Mark Alan; Lee, James J.; Pers, Tune H.; Rietveld, Cornelius A.; Turley, Patrick; Chen, Guo-Bo; Emilsson, Valur; Meddens, S. Fleur W.; Oskarsson, Sven; Pickrell, Joseph K.; Thom, Kevin; Timshel, Pascal; de Vlaming, Ronald; Abdellaoui, Abdel; Ahluwalia, Tarunveer S.; Bacelis, Jonas; Baumbach, Clemens; Bjornsdottir, Gyda; Brandsma, Johannes H.; Concas, Maria Pina; Derringer, Jaime; Furlotte, Nicholas A.; Galesloot, Tessel E.; Girotto, Giorgia; Gupta, Richa; Hall, Leanne M.; Harris, Sarah E.; Hofer, Edith; Horikoshi, Momoko; Huffman, Jennifer E.; Kaasik, Kadri; Kalafati, Ioanna P.; Karlsson, Robert; Kong, Augustine; Lahti, Jari; van der Lee, Sven J.; de Leeuw, Christiaan; Lind, Penelope A.; Lindgren, Karl-Oskar; Liu, Tian; Mangino, Massimo; Marten, Jonathan; Mihailov, Evelin; Miller, Michael B.; van der Most, Peter J.; Oldmeadow, Christopher; Payton, Antony; Pervjakova, Natalia; Peyrot, Wouter J.; Qian, Yong; Raitakari, Olli; Rueedi, Rico; Salvi, Erika; Schmidt, Brge; Schraut, Katharina E.; Shi, Jianxin; Smith, Albert V.; Poot, Raymond A.; St Pourcain, Beate; Teumer, Alexander; Thorleifsson, Gudmar; Verweij, Niek; Vuckovic, Dragana; Wellmann, Juergen; Westra, Harm-Jan; Yang, Jingyun; Zhao, Wei; Zhu, Zhihong; Alizadeh, Behrooz Z.; Amin, Najaf; Bakshi, Andrew; Baumeister, Sebastian E.; Biino, Ginevra; Bonnelykke, Klaus; Boyle, Patricia A.; Campbell, Harry; Cappuccio, Francesco P.; Davies, Gail; De Neve, Jan-Emmanuel; Deloukas, Panos; Demuth, Ilja; Ding, Jun; Eibich, Peter; Eisele, Lewin; Eklund, Niina; Evans, David M.; Faul, Jessica D.; Feitosa, Mary F.; Forstner, Andreas J.; Gandin, Ilaria; Gunnarsson, Bjarni; Halldorsson, Bjarni V.; Harris, Tamara B.; Heath, Andrew C.; Hocking, Lynne J.; Holliday, Elizabeth G.; Homuth, Georg; Horan, Michael A.; Hottenga, Jouke-Jan; de Jager, Philip L.; Joshi, Peter K.; Jugessur, Astanand; Kaakinen, Marika A.; Kahonen, Mika; Kanoni, Stavroula; Keltigangas-Jarvinen, Liisa; Kiemeney, Lambertus A. L. M.; Kolcic, Ivana; Koskinen, Seppo; Kraja, Aldi T.; Kroh, Martin; Kutalik, Zoltan; Latvala, Antti; Launer, Lenore J.; Lebreton, Mael P.; Levinson, Douglas F.; Lichtenstein, Paul; Lichtner, Peter; Liewald, David C. M.; Loukola, Anu; Madden, Pamela A.; Magi, Reedik; Maki-Opas, Tomi; Marioni, Riccardo E.; Marques-Vidal, Pedro; Meddens, Gerardus A.; McMahon, George; Meisinger, Christa; Meitinger, Thomas; Milaneschi, Yusplitri; Milani, Lili; Montgomery, Grant W.; Myhre, Ronny; Nelson, Christopher P.; Nyholt, Dale R.; Ollier, William E. R.; Palotie, Aarno; Paternoster, Lavinia; Pedersen, Nancy L.; Petrovic, Katja E.; Porteous, David J.; Raikkonen, Katri; Ring, Susan M.; Robino, Antonietta; Rostapshova, Olga; Rudan, Igor; Rustichini, Aldo; Salomaa, Veikko; Sanders, Alan R.; Sarin, Antti-Pekka; Schmidt, Helena; Scott, Rodney J.; Smith, Blair H.; Smith, Jennifer A.; Staessen, Jan A.; Steinhagen-Thiessen, Elisabeth; Strauch, Konstantin; Terracciano, Antonio; Tobin, Martin D.; Ulivi, Sheila; Vaccargiu, Simona; Quaye, Lydia; van Rooij, Frank J. A.; Venturini, Cristina; Vinkhuyzen, Anna A. E.; Volker, Uwe; Volzke, Henry; Vonk, Judith M.; Waage, Johannes; Ware, Erin B.; Willemsen, Gonneke; Attia, John R.; Bennett, David A.; Berger, Klaus; Bertram, Lars; Bisgaard, Hans; Boomsma, Dorret I.; Borecki, Ingrid B.; Bultmann, Ute; Chabris, Christopher F.; Cucca, Francesco; Cusi, Daniele; Deary, Ian J.; Dedoussis, George V.; van Duijn, Cornelia M.; Eriksson, Johan G.; Franke, Barbara; Franke, Lude; Gasparini, Paolo; Gejman, Pablo V.; Gieger, Christian; Grabe, Hans-Jorgen; Gratten, Jacob; Groenen, Patrick J. F.; Gudnason, Vilmundur; van der Harst, Pim; Hayward, Caroline; Hinds, David A.; Hoffmann, Wolfgang; Hyppnen, Elina; Iacono, William G.; Jacobsson, Bo; Jarvelin, Marjo-Riitta; Jockel, Karl-Heinz; Kaprio, Jaakko; Kardia, Sharon L. R.; Lehtimaki, Terho; Lehrer, Steven F.; Magnusson, Patrik K. E.; Martin, Nicholas G.; McGue, Matt; Metspalu, Andres; Pendleton, Neil; Penninx, Brenda W. J. H.; Perola, Markus; Pirastu, Nicola; Pirastu, Mario; Polasek, Ozren; Posthuma, Danielle; Power, Christine; Province, Michael A.; Samani, Nilesh J.; Schlessinger, David; Schmidt, Reinhold; Sorensen, Thorkild I. A.; Spector, Tim D.; Stefansson, Kari; Thorsteinsdottir, Unnur; Thurik, A. Roy; Timpson, Nicholas J.; Tiemeier, Henning; Tung, Joyce Y.; Uitterlinden, Andre G.; Vitart, Veronique; Vollenweider, Peter; Weir, David R.; Wilson, James F.; Wright, Alan F.; Conley, Dalton C.; Krueger, Robert F.; Smith, George Davey; Hofman, Albert; Laibson, David I.; Medland, Sarah E.

    2016-01-01

    Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals(1). Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends

  16. Genome-wide association study identifies 74 loci associated with educational attainment

    NARCIS (Netherlands)

    A. Okbay (Aysu); J.P. Beauchamp (Jonathan); Fontana, M.A. (Mark Alan); J.J. Lee (James J.); T.H. Pers (Tune); Rietveld, C.A. (Cornelius A.); P. Turley (Patrick); Chen, G.-B. (Guo-Bo); V. Emilsson (Valur); Meddens, S.F.W. (S. Fleur W.); Oskarsson, S. (Sven); Pickrell, J.K. (Joseph K.); Thom, K. (Kevin); Timshel, P. (Pascal); R. de Vlaming (Ronald); M. Abdellaoui (Mohammed); T.S. Ahluwalia (Tarunveer Singh); J. Bacelis (Jonas); C. Baumbach (Clemens); Bjornsdottir, G. (Gyda); J.H. Brandsma (Johan); Pina Concas, M. (Maria); J. Derringer; Furlotte, N.A. (Nicholas A.); T.E. Galesloot (Tessel); S. Girotto; Gupta, R. (Richa); L.M. Hall (Leanne M.); S.E. Harris (Sarah); E. Hofer; Horikoshi, M. (Momoko); J.E. Huffman (Jennifer E.); Kaasik, K. (Kadri); I.-P. Kalafati (Ioanna-Panagiota); R. Karlsson (Robert); A. Kong (Augustine); J. Lahti (Jari); S. van der Lee (Sven); Deleeuw, C. (Christiaan); P.A. Lind (Penelope); Lindgren, K.-O. (Karl-Oskar); Liu, T. (Tian); M. Mangino (Massimo); J. Marten (Jonathan); E. Mihailov (Evelin); M. Miller (Mike); P.J. van der Most (Peter); C. Oldmeadow (Christopher); A. Payton (Antony); N. Pervjakova (Natalia); W.J. Peyrot (Wouter ); Qian, Y. (Yong); O. Raitakari (Olli); Rueedi, R. (Rico); Salvi, E. (Erika); Schmidt, B. (Börge); Schraut, K.E. (Katharina E.); Shi, J. (Jianxin); A.V. Smith (Albert Vernon); R.A. Poot (Raymond); B. St Pourcain (Beate); A. Teumer (Alexander); G. Thorleifsson (Gudmar); N. Verweij (Niek); D. Vuckovic (Dragana); Wellmann, J. (Juergen); H.J. Westra (Harm-Jan); Yang, J. (Jingyun); Zhao, W. (Wei); Zhu, Z. (Zhihong); B.Z. Alizadeh (Behrooz); N. Amin (Najaf); Bakshi, A. (Andrew); S.E. Baumeister (Sebastian); G. Biino; K. Bønnelykke (Klaus); P.A. Boyle (Patricia); H. Campbell (Harry); Cappuccio, F.P. (Francesco P.); G. Davies (Gail); J.E. de Neve (Jan-Emmanuel); P. Deloukas (Panagiotis); I. Demuth (Ilja); Ding, J. (Jun); Eibich, P. (Peter); Eisele, L. (Lewin); N. Eklund (Niina); D.M. Evans (David); J.D. Faul (Jessica D.); M.F. Feitosa (Mary Furlan); A.J. Forstner; I. Gandin (Ilaria); Gunnarsson, B. (Bjarni); B.V. Halldorsson (Bjarni); T.B. Harris (Tamara); E.G. Holliday (Elizabeth); A.C. Heath (Andrew C.); L.J. Hocking; G. Homuth (Georg); M. Horan (Mike); J.J. Hottenga (Jouke Jan); P.L. de Jager (Philip); P.K. Joshi (Peter); A. Juqessur (Astanand); M. Kaakinen (Marika); M. Kähönen (Mika); S. Kanoni (Stavroula); Keltigangas-Järvinen, L. (Liisa); L.A.L.M. Kiemeney (Bart); I. Kolcic (Ivana); Koskinen, S. (Seppo); A. Kraja (Aldi); Kroh, M. (Martin); Z. Kutalik (Zoltán); A. Latvala (Antti); L.J. Launer (Lenore); Lebreton, M.P. (Maël P.); D.F. Levinson (Douglas F.); P. Lichtenstein (Paul); P. Lichtner (Peter); D.C. Liewald (David C.); A. Loukola (Anu); P.A. Madden (Pamela); R. Mägi (Reedik); Mäki-Opas, T. (Tomi); R.E. Marioni (Riccardo); P. Marques-Vidal; Meddens, G.A. (Gerardus A.); G. Mcmahon (George); C. Meisinger (Christa); T. Meitinger (Thomas); Milaneschi, Y. (Yusplitri); L. Milani (Lili); G.W. Montgomery (Grant); R. Myhre (Ronny); C.P. Nelson (Christopher P.); D.R. Nyholt (Dale); W.E.R. Ollier (William); A. Palotie (Aarno); L. Paternoster (Lavinia); N.L. Pedersen (Nancy); K. Petrovic (Katja); D.J. Porteous (David J.); K. Räikkönen (Katri); Ring, S.M. (Susan M.); A. Robino (Antonietta); O. Rostapshova (Olga); I. Rudan (Igor); A. Rustichini (Aldo); V. Salomaa (Veikko); Sanders, A.R. (Alan R.); A.-P. Sarin; R. Schmidt (Reinhold); R.J. Scott (Rodney); B.H. Smith (Blair); J.A. Smith (Jennifer A); J.A. Staessen (Jan); E. Steinhagen-Thiessen (Elisabeth); K. Strauch (Konstantin); A. Terracciano; M.D. Tobin (Martin); S. Ulivi (Shelia); S. Vaccargiu (Simona); L. Quaye (Lydia); F.J.A. van Rooij (Frank); C. Venturini (Cristina); A.A.E. Vinkhuyzen (Anna A.); U. Völker (Uwe); Völzke, H. (Henry); J.M. Vonk (Judith); D. Vozzi (Diego); J. Waage (Johannes); E.B. Ware (Erin B.); G.A.H.M. Willemsen (Gonneke); J. Attia (John); D.A. Bennett (David A.); Berger, K. (Klaus); L. Bertram (Lars); H. Bisgaard (Hans); D.I. Boomsma (Dorret); I.B. Borecki (Ingrid); U. Bültmann (Ute); C.F. Chabris (Christopher F.); F. Cucca (Francesco); D. Cusi (Daniele); I.J. Deary (Ian J.); G.V. Dedoussis (George); C.M. van Duijn (Cock); K. Hagen (Knut); B. Franke (Barbara); L. Franke (Lude); P. Gasparini (Paolo); P.V. Gejman (Pablo); C. Gieger (Christian); H.J. Grabe (Hans Jörgen); J. Gratten (Jacob); P.J.F. Groenen (Patrick); V. Gudnason (Vilmundur); P. van der Harst (Pim); C. Hayward (Caroline)

    2016-01-01

    textabstractEducational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals. Here we report the results of a genome-wide association study (GWAS) for educational attainment that

  17. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

    DEFF Research Database (Denmark)

    Felix, Janine F; Bradfield, Jonathan P; Monnereau, Claire;

    2016-01-01

    A large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown. We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation scores. We...

  18. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

    NARCIS (Netherlands)

    J.F. Felix (Janine); J.P. Bradfield (Jonathan); C. Monnereau; R.J.P. van der Valk (Ralf); E. Stergiakouli (Evie); A. Chesi (Alessandra); R. Gaillard (Romy); B. Feenstra (Bjarke); E. Thiering (Elisabeth); E. Kreiner-Møller (Eskil); A. Mahajan (Anubha); Niina Pitkänen; R. Joro (Raimo); A. Cavadino (Alana); V. Huikari (Ville); S. Franks (Steve); M. Groen-Blokhuis (Maria); D.L. Cousminer (Diana); J.A. Marsh (Julie); T. Lehtimäki (Terho); J.A. Curtin (John); J. Vioque (Jesus); T.S. Ahluwalia (Tarunveer Singh); R. Myhre (Ronny); T.S. Price (Thomas); Natalia Vilor-Tejedor; L. Yengo (Loic); N. Grarup (Niels); I. Ntalla (Ioanna); W.Q. Ang (Wei); M. Atalay (Mustafa); H. Bisgaard (Hans); A.I.F. Blakemore (Alexandra); A. Bonnefond (Amélie); L. Carstensen (Lisbeth); J.G. Eriksson (Johan G.); C. Flexeder (Claudia); L. Franke (Lude); F. Geller (Frank); M. Geserick (Mandy); A.L. Hartikainen; C.M.A. Haworth (Claire M.); J.N. Hirschhorn (Joel N.); A. Hofman (Albert); J.-C. Holm (Jens-Christian); M. Horikoshi (Momoko); J.J. Hottenga (Jouke Jan); J. Huang (Jian); H.N. Kadarmideen (Haja N.); M. Kähönen (Mika); W. Kiess (Wieland); T.A. Lakka (Timo); T.A. Lakka (Timo); A. Lewin (Alex); L. Liang (Liming); L.-P. Lyytikäinen (Leo-Pekka); B. Ma (Baoshan); P. Magnus (Per); S.E. McCormack (Shana E.); G. Mcmahon (George); F.D. Mentch (Frank); C.M. Middeldorp (Christel); C.S. Murray (Clare S.); K. Pahkala (Katja); T.H. Pers (Tune); R. Pfäffle (Roland); D.S. Postma (Dirkje); C. Power (Christine); A. Simpson (Angela); V. Sengpiel (Verena); C. Tiesler (Carla); M. Torrent (Maties); A.G. Uitterlinden (André); J.B.J. van Meurs (Joyce); R. Vinding (Rebecca); J. Waage (Johannes); J. Wardle (Jane); E. Zeggini (Eleftheria); B.S. Zemel (Babette S.); G.V. Dedoussis (George); O. Pedersen (Oluf); P. Froguel (Philippe); J. Sunyer (Jordi); R. Plomin (Robert); B. Jacobsson (Bo); T. Hansen (Torben); J.R. Gonzalez (Juan R.); A. Custovic; O.T. Raitakari (Olli T.); C.E. Pennell (Craig); Elisabeth Widén; D.I. Boomsma (Dorret); G.H. Koppelman (Gerard); S. Sebert (Sylvain); M.-R. Jarvelin (Marjo-Riitta); E. Hypponen (Elina); M.I. McCarthy (Mark); V. Lindi (Virpi); N. Harri (Niinikoski); A. Körner (Antje); K. Bønnelykke (Klaus); J. Heinrich (Joachim); M. Melbye (Mads); F. Rivadeneira Ramirez (Fernando); H. Hakonarson (Hakon); S.M. Ring (Susan); G.D. Smith; T.I.A. Sørensen (Thorkild I.A.); N. Timpson (Nicholas); S.F. Grant; V.W.V. Jaddoe (Vincent W. V.); H.J. Kalkwarf (Heidi J.); J.M. Lappe (Joan M.); V. Gilsanz (Vicente); S.E. Oberfield (Sharon E.); J.A. Shepherd (John A.); A. Kelly (Andrea)

    2016-01-01

    textabstractA large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown.We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation sc

  19. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

    NARCIS (Netherlands)

    Felix, Janine F; Bradfield, Jonathan P; Monnereau, Claire; van der Valk, Ralf J P; Stergiakouli, Evie; Chesi, Alessandra; Gaillard, Romy; Feenstra, Bjarke; Thiering, Elisabeth; Kreiner-Møller, Eskil; Mahajan, Anubha; Pitkänen, Niina; Joro, Raimo; Cavadino, Alana; Huikari, Ville; Franks, Steve; Groen-Blokhuis, Maria M; Cousminer, Diana L; Marsh, Julie A; Lehtimäki, Terho; Curtin, John A; Vioque, Jesus; Ahluwalia, Tarunveer S; Myhre, Ronny; Price, Thomas S; Vilor-Tejedor, Natalia; Yengo, Loïc; Grarup, Niels; Ntalla, Ioanna; Ang, Wei; Atalay, Mustafa; Bisgaard, Hans; Blakemore, Alexandra I; Bonnefond, Amelie; Carstensen, Lisbeth; Eriksson, Johan; Flexeder, Claudia; Franke, Lude; Geller, Frank; Geserick, Mandy; Hartikainen, Anna-Liisa; Haworth, Claire M A; Hirschhorn, Joel N; Hofman, Albert; Holm, Jens-Christian; Horikoshi, Momoko; Hottenga, Jouke Jan; Huang, Jinyan; Kadarmideen, Haja N; Kähönen, Mika; Kiess, Wieland; Lakka, Hanna-Maaria; Lakka, Timo A; Lewin, Alexandra M; Liang, Liming; Lyytikäinen, Leo-Pekka; Ma, Baoshan; Magnus, Per; McCormack, Shana E; McMahon, George; Mentch, Frank D; Middeldorp, Christel M; Murray, Clare S; Pahkala, Katja; Pers, Tune H; Pfäffle, Roland; Postma, Dirkje S; Power, Christine; Simpson, Angela; Sengpiel, Verena; Tiesler, Carla M T; Torrent, Maties; Uitterlinden, André G; van Meurs, Joyce B; Vinding, Rebecca; Waage, Johannes; Wardle, Jane; Zeggini, Eleftheria; Zemel, Babette S; Dedoussis, George V; Pedersen, Oluf; Froguel, Philippe; Sunyer, Jordi; Plomin, Robert; Jacobsson, Bo; Hansen, Torben; Gonzalez, Juan R; Custovic, Adnan; Raitakari, Olli T; Pennell, Craig E; Widén, Elisabeth; Boomsma, Dorret I; Koppelman, Gerard H; Sebert, Sylvain; Järvelin, Marjo-Riitta; Hyppönen, Elina; McCarthy, Mark I; Lindi, Virpi; Harri, Niinikoski; Körner, Antje; Bønnelykke, Klaus; Heinrich, Joachim; Melbye, Mads; Rivadeneira, Fernando; Hakonarson, Hakon; Ring, Susan M; Smith, George Davey; Sørensen, Thorkild I A; Timpson, Nicholas J; Grant, Struan F A; Jaddoe, Vincent W V

    2015-01-01

    A large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown. We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation scores. We in

  20. Genome-wide association analyses identify 18 new loci associated with serum urate concentrations

    NARCIS (Netherlands)

    Köttgen, Anna; Albrecht, Eva; Teumer, Alexander; Vitart, Veronique; Krumsiek, Jan; Hundertmark, Claudia; Pistis, Giorgio; Ruggiero, Daniela; O'Seaghdha, Conall M; Haller, Toomas; Yang, Qiong; Tanaka, Toshiko; Johnson, Andrew D; Kutalik, Zoltán; Smith, Albert V; Shi, Julia; Struchalin, Maksim; Middelberg, Rita P S; Brown, Morris J; Gaffo, Angelo L; Pirastu, Nicola; Li, Guo; Hayward, Caroline; Zemunik, Tatijana; Huffman, Jennifer; Yengo, Loic; Zhao, Jing Hua; Demirkan, Ayse; Feitosa, Mary F; Liu, Xuan; Malerba, Giovanni; Lopez, Lorna M; van der Harst, Pim; Li, Xinzhong; Kleber, Marcus E; Hicks, Andrew A; Nolte, Ilja M; Johansson, Asa; Murgia, Federico; Wild, Sarah H; Bakker, Stephan J L; Peden, John F; Dehghan, Abbas; Steri, Maristella; Tenesa, Albert; Lagou, Vasiliki; Salo, Perttu; Mangino, Massimo; Rose, Lynda M; Lehtimäki, Terho; Woodward, Owen M; Okada, Yukinori; Tin, Adrienne; Müller, Christian; Oldmeadow, Christopher; Putku, Margus; Czamara, Darina; Kraft, Peter; Frogheri, Laura; Thun, Gian Andri; Grotevendt, Anne; Gislason, Gauti Kjartan; Harris, Tamara B; Launer, Lenore J; McArdle, Patrick; Shuldiner, Alan R; Boerwinkle, Eric; Coresh, Josef; Schmidt, Helena; Schallert, Michael; Martin, Nicholas G; Montgomery, Grant W; Kubo, Michiaki; Nakamura, Yusuke; Tanaka, Toshihiro; Munroe, Patricia B; Samani, Nilesh J; Jacobs, David R; Liu, Kiang; D'Adamo, Pio; Ulivi, Sheila; Rotter, Jerome I; Psaty, Bruce M; Vollenweider, Peter; Waeber, Gerard; Campbell, Susan; Devuyst, Olivier; Navarro, Pau; Kolcic, Ivana; Hastie, Nicholas; Balkau, Beverley; Froguel, Philippe; Esko, Tõnu; Salumets, Andres; Khaw, Kay Tee; Langenberg, Claudia; Wareham, Nicholas J; Isaacs, Aaron; Kraja, Aldi; Zhang, Qunyuan; Wild, Philipp S; Scott, Rodney J; Holliday, Elizabeth G; Org, Elin; Viigimaa, Margus; Bandinelli, Stefania; Metter, Jeffrey E; Lupo, Antonio; Trabetti, Elisabetta; Sorice, Rossella; Döring, Angela; Lattka, Eva; Strauch, Konstantin; Theis, Fabian; Waldenberger, Melanie; Wichmann, H-Erich; Davies, Gail; Gow, Alan J; Bruinenberg, Marcel; Stolk, Ronald P; Kooner, Jaspal S; Zhang, Weihua; Winkelmann, Bernhard R; Boehm, Bernhard O; Lucae, Susanne; Penninx, Brenda W; Smit, Johannes H; Curhan, Gary; Mudgal, Poorva; Plenge, Robert M; Portas, Laura; Persico, Ivana; Kirin, Mirna; Wilson, James F; Mateo Leach, Irene; van Gilst, Wiek H; Goel, Anuj; Ongen, Halit; Hofman, Albert; Rivadeneira, Fernando; Uitterlinden, Andre G; Imboden, Medea; von Eckardstein, Arnold; Cucca, Francesco; Nagaraja, Ramaiah; Piras, Maria Grazia; Nauck, Matthias; Schurmann, Claudia; Budde, Kathrin; Ernst, Florian; Farrington, Susan M; Theodoratou, Evropi; Prokopenko, Inga; Stumvoll, Michael; Jula, Antti; Perola, Markus; Salomaa, Veikko; Shin, So-Youn; Spector, Tim D; Sala, Cinzia; Ridker, Paul M; Kähönen, Mika; Viikari, Jorma; Hengstenberg, Christian; Nelson, Christopher P; Meschia, James F; Nalls, Michael A; Sharma, Pankaj; Singleton, Andrew B; Kamatani, Naoyuki; Zeller, Tanja; Burnier, Michel; Attia, John; Laan, Maris; Klopp, Norman; Hillege, Hans L; Kloiber, Stefan; Choi, Hyon; Pirastu, Mario; Tore, Silvia; Probst-Hensch, Nicole M; Völzke, Henry; Gudnason, Vilmundur; Parsa, Afshin; Schmidt, Reinhold; Whitfield, John B; Fornage, Myriam; Gasparini, Paolo; Siscovick, David S; Polašek, Ozren; Campbell, Harry; Rudan, Igor; Bouatia-Naji, Nabila; Metspalu, Andres; Loos, Ruth J F; van Duijn, Cornelia M; Borecki, Ingrid B; Ferrucci, Luigi; Gambaro, Giovanni; Deary, Ian J; Wolffenbuttel, Bruce H R; Chambers, John C; März, Winfried; Pramstaller, Peter P; Snieder, Harold; Gyllensten, Ulf; Wright, Alan F; Navis, Gerjan; Watkins, Hugh; Witteman, Jacqueline C M; Sanna, Serena; Schipf, Sabine; Dunlop, Malcolm G; Tönjes, Anke; Ripatti, Samuli; Soranzo, Nicole; Toniolo, Daniela; Chasman, Daniel I; Raitakari, Olli; Kao, W H Linda; Ciullo, Marina; Fox, Caroline S; Caulfield, Mark; Bochud, Murielle; Gieger, Christian

    Elevated serum urate concentrations can cause gout, a prevalent and painful inflammatory arthritis. By combining data from >140,000 individuals of European ancestry within the Global Urate Genetics Consortium (GUGC), we identified and replicated 28 genome-wide significant loci in association with

  1. A mega-analysis of genome-wide association studies for major depressive disorder

    NARCIS (Netherlands)

    Sullivan, Patrick F.; Daly, Mark J.; Ripke, Stephan; Lewis, Cathryn M.; Lin, Dan-Yu; Wray, Naomi R.; Neale, Benjamin; Levinson, Douglas F.; Breen, Gerome; Byrne, Enda M.; Wray, Naomi R.; Levinson, Douglas F.; Rietschel, Marcella; Hoogendijk, Witte; Ripke, Stephan; Sullivan, Patrick F.; Hamilton, Steven P.; Levinson, Douglas F.; Lewis, Cathryn M.; Ripke, Stephan; Weissman, Myrna M.; Wray, Naomi R.; Breuer, Rene; Cichon, Sven; Degenhardt, Franziska; Frank, Josef; Gross, Magdalena; Herms, Stefan; Hoefels, Susanne; Maier, Wolfgang; Mattheisen, Manuel; Noeethen, Markus M.; Rietschel, Marcella; Schulze, Thomas G.; Steffens, Michael; Treutlein, Jens; Boomsma, Dorret I.; De Geus, Eco J.; Hoogendijk, Witte; Hottenga, Jouke Jan; Jung-Ying, Tzeng; Lin, Dan-Yu; Middeldorp, Christel M.; Nolen, Willem A.; Penninx, Brenda P.; Smit, Johannes H.; Sullivan, Patrick F.; van Grootheest, Gerard; Willemsen, Gonneke; Zitman, Frans G.; Coryell, William H.; Knowles, James A.; Lawson, William B.; Levinson, Douglas F.; Potash, James B.; Scheftner, William A.; Shi, Jianxin; Weissman, Myrna M.; Holsboer, Florian; Muglia, Pierandrea; Tozzi, Federica; Blackwood, Douglas H. R.; Boomsma, Dorret I.; De Geus, Eco J.; Hottenga, Jouke Jan; MacIntyre, Donald J.; McIntosh, Andrew; McLean, Alan; Middeldorp, Christel M.; Penninx, Brenda P.; Ripke, Stephan; Smit, Johannes H.; Sullivan, Patrick F.; van Grootheest, Gerard; Willemsen, Gonneke; Zitman, Frans G.; van den Oord, Edwin J. C. G.; Holsboer, Florian; Lucae, Susanne; Binder, Elisabeth; Mueller-Myhsok, Bertram; Ripke, Stephan; Czamara, Darina; Kohli, Martin A.; Ising, Marcus; Uhr, Manfred; Bettecken, Thomas; Barnes, Michael R.; Breen, Gerome; Craig, Ian W.; Farmer, Anne E.; Lewis, Cathryn M.; McGuffin, Peter; Muglia, Pierandrea; Byrne, Enda; Gordon, Scott D.; Heath, Andrew C.; Henders, Anjali K.; Hickie, Ian B.; Madden, Pamela A. F.; Martin, Nicholas G.; Montgomery, Grant M.; Nyholt, Dale R.; Pergadia, Michele L.; Wray, Naomi R.; Hamilton, Steven P.; McGrath, Patrick J.; Shyn, Stanley I.; Slager, Susan L.; Oskarsson, Hoegni; Sigurdsson, Engilbert; Stefansson, Hreinn; Stefansson, Kari; Steinberg, Stacy; Thorgeirsson, Thorgeir; Levinson, Douglas F.; Potash, James B.; Shi, Jianxin; Weissman, Myrna M.; Guipponi, Michel; Lewis, Glyn; O'Donovan, Michael; Tansey, Katherine E.; Uher, Rudolf; Coryell, William H.; Knowles, James A.; Lawson, William B.; Levinson, Douglas F.; Potash, James B.; Scheftner, William A.; Shi, Jianxin; Weissman, Myrna M.; Castro, Victor M.; Churchill, Susanne E.; Fava, Maurizio; Gainer, Vivian S.; Gallagher, Patience J.; Goryachev, Sergey; Iosifescu, Dan V.; Kohane, Isaac S.; Murphy, Shawn N.; Perlis, Roy H.; Smoller, Jordan W.; Weilburg, Jeffrey B.; Kutalik, Zoltan; Preisig, Martin; Grabe, Hans J.; Nauck, Matthias; Schulz, Andrea; Teumer, Alexander; Voelzke, Henry; Landen, Mikael; Lichtenstein, Paul; Magnusson, Patrik; Pedersen, Nancy; Viktorin, Alexander

    2013-01-01

    Prior genome-wide association studies (GWAS) of major depressive disorder (MDD) have met with limited success. We sought to increase statistical power to detect disease loci by conducting a GWAS mega-analysis for MDD. In the MDD discovery phase, we analyzed more than 1.2 million autosomal and X chro

  2. Robustness of genome-wide scanning using archived dried blood spot samples as a DNA source

    Directory of Open Access Journals (Sweden)

    Børglum Anders D

    2011-07-01

    Full Text Available Abstract Background The search to identify disease-susceptible genes requires access to biological material from numerous well-characterized subjects. Archived residual dried blood spot (DBS samples, also known as Guthrie cards, from national newborn screening programs may provide a DNA source for entire populations. Combined with clinical information from medical registries, DBS samples could provide a rich source for productive research. However, the amounts of DNA which can be extracted from these precious samples are minute and may be prohibitive for numerous genotypings. Previously, we demonstrated that DBS DNA can be whole-genome amplified and used for reliable genetic analysis on different platforms, including genome-wide scanning arrays. However, it remains unclear whether this approach is workable on a large sample scale. We examined the robustness of using DBS samples for whole-genome amplification following genome-wide scanning, using arrays from Illumina and Affymetrix. Results This study is based on 4,641 DBS samples from the Danish Newborn Screening Biobank, extracted for three separate genome-wide association studies. The amount of amplified DNA was significantly (P Conclusion Our study indicates that archived DBS samples from the Danish Newborn Screening Biobank represent a reliable resource of DNA for whole-genome amplification and subsequent genome-wide association studies. With call-rates equivalent to high quality DNA samples, our results point to new opportunities for using the neonatal biobanks available worldwide in the hunt for genetic components of disease.

  3. Genome-wide association and functional follow-up reveals new loci for kidney function

    NARCIS (Netherlands)

    C. Pattaro (Cristian); A. Köttgen (Anna); A. Teumer (Alexander); C.A. Böger (Carsten); C. Fuchsberger (Christian); M. Olden (Matthias); M-H. Chen (Ming-Huei); M. Li (Man); X. Gao (Xiaoyi); M. Gorski (Mathias); Q. Yang (Qiong Fang); C.M. O'Seaghdha (Conall); N.L. Glazer (Nicole); A.J. Isaacs (Aaron); C.-T. Liu (Ching-Ti); A.V. Smith (Albert Vernon); J.R. O´Connell; M.V. Struchalin (Maksim); T. Tanaka (Toshiko); A.D. Johnson (Andrew); M.F. Feitosa (Mary Furlan); S.J. Hwang; K. Lohman (Kurt); M. Cornelis (Marilyn); A. Johansson (Åsa); A. Tönjes (Anke); A. Dehghan (Abbas); V. Chouraki (Vincent); E.G. Holliday (Elizabeth); R. Sorice; Z. Kutalik (Zoltán); T. Lehtimäki (Terho); T. Esko (Tõnu); S. Ulivi (Shelia); S. Trompet (Stella); M. Imboden (Medea); B. Kollerits (Barbara); G. Pistis (Giorgio); T.B. Harris (Tamara); L.J. Launer (Lenore); T. Aspelund (Thor); G. Eiriksdottir (Gudny); B.D. Mitchell (Braxton); E.A. Boerwinkle (Eric); R. Schmidt (Reinhold); M. Cavalieri (Margherita); F.B. Hu (Frank); A. Demirkan (Ayşe); B.A. Oostra (Ben); M. de Andrade (Mariza); J.S. Andrews (Jeanette S.); W. Koenig (Wolfgang); T. Illig (Thomas); A. Döring (Angela); H.E. Wichmann (Erich); I. Kolcic (Ivana); T. Zemunik (Tatijana); M. Boban (Mladen); W. Igl (Wilmar); G. Zaboli (Ghazal); S.H. Wild (Sarah); A.F. Wright (Alan); H. Campbell (Harry); R. Biffar (Reiner); F.D.J. Ernst (Florian); G. Homuth (Georg); H.K. Kroemer (Heyo); M. Nauck (Matthias); P. Kovacs (Peter); M. Stumvoll (Michael); R. Mägi (Reedik); A. Hofman (Albert); A.G. Uitterlinden (André); F. Rivadeneira Ramirez (Fernando); Y.S. Aulchenko (Yurii); O. Polasek (Ozren); N. Hastie (Nick); V. Vitart (Veronique); J.J. Wang (Jie Jin); S.M. Bergmann (Sven); M. Kähönen (Mika); J. Viikari (Jorma); M.A. Province (Mike); S. Ketkar (Shamika); A.S.F. Doney (Alex); I. Ford (Ian); B.M. Buckley (Brendan M.); B. Paulweber (Bernhard); M. Haun (Margot); C. Sala (Cinzia); M. Ciullo; P. Vollenweider (Peter); O. Raitakari (Olli); A. Metspalu (Andres); C.N.A. Palmer (Colin); P. Gasparini (Paolo); J.W. Jukema (Jan Wouter); F. Kronenberg (Florian); D. Toniolo (Daniela); V. Gudnason (Vilmundur); A.R. Shuldiner (Alan); J. Coresh (Josef); L. Ferrucci (Luigi); D.S. Siscovick (David); P. Tikka-Kleemola (Päivi); I.B. Borecki (Ingrid); S.L.R. Kardia (Sharon); G.C. Curhan (Gary); I. Rudan (Igor); U. Gyllensten (Ulf); J.F. Wilson (James); A. Franke (Andre); P.P. Pramstaller (Peter Paul); R. Rettig (Rainer); I. Prokopenko (Inga); J.C.M. Witteman (Jacqueline); C. Hayward (Caroline); P.M. Ridker (Paul); A. Parsa (Afshin); M. Bochud (Murielle); I.M. Heid (Iris); W. Goessling (Wolfram); D.I. Chasman (Daniel); W.H.L. Kao (Wen); C.S. Fox (Caroline)

    2012-01-01

    textabstractChronic kidney disease (CKD) is an important public health problem with a genetic component. We performed genome-wide association studies in up to 130,600 European ancestry participants overall, and stratified for key CKD risk factors. We uncovered 6 new loci in association with estimate

  4. A genome-wide association study of upper aerodigestive tract cancers conducted within the INHANCE consortium

    NARCIS (Netherlands)

    McKay, J.D.; Truong, T.; Gaborieau, V.; Chabrier, A.; Chuang, S.C.; Byrnes, G.; Zaridze, D.; Shangina, O.; Szeszenia-Dabrowska, N.; Lissowska, J.; Rudnai, P.; Fabianova, E.; Bucur, A.; Bencko, V.; Holcatova, I.; Janout, V.; Foretova, L.; Lagiou, P.; Trichopoulos, D.; Benhamou, S.; Bouchardy, C.; Ahrens, W.; Merletti, F.; Richiardi, L.; Talamini, R.; Barzan, L.; Kjaerheim, K.; Macfarlane, G.J.; Macfarlane, T.V.; Simonato, L.; Canova, C.; Agudo, A.; Castellsague, X.; Lowry, R.; Conway, D.I.; McKinney, P.A.; Healy, C.M.; Toner, M.E.; Znaor, A.; Curado, M.P.; Koifman, S.; Menezes, A.; Wunsch-Filho, V.; Neto, J.E.; Garrote, L.F.; Boccia, S.; Cadoni, G.; Arzani, D.; Olshan, A.F.; Weissler, M.C.; Funkhouser, W.K.; Luo, J.; Lubinski, J.; Trubicka, J.; Lener, M.; Oszutowska, D.; Schwartz, S.M.; Chen, C.; Fish, S.; Doody, D.R.; Muscat, J.E.; Lazarus, P.; Gallagher, C.J.; Chang, S.C.; Zhang, Z.F.; Wei, Q.; Sturgis, E.M.; Wang, L.E.; Franceschi, S.; Herrero, R.; Kelsey, K.T.; McClean, M.D.; Marsit, C.J.; Nelson, H.H.; Romkes, M.; Buch, S.; Nukui, T.; Zhong, S.; Lacko, M.; Manni, J.J.; Peters, W.H.M.; Hung, R.J.; McLaughlin, J.; Vatten, L.; Njolstad, I.; Goodman, G.E.; Field, J.K.; Liloglou, T.; Vineis, P.; Clavel-Chapelon, F.; Palli, D.; Tumino, R.; Krogh, V.; Panico, S.; Gonzalez, C.A.; Quiros, J.R.; Martinez, C.; Navarro, C.; Ardanaz, E.; Larranaga, N.

    2011-01-01

    Genome-wide association studies (GWAS) have been successful in identifying common genetic variation involved in susceptibility to etiologically complex disease. We conducted a GWAS to identify common genetic variation involved in susceptibility to upper aero-digestive tract (UADT) cancers.

  5. Genome-wide identification of structural variants in genes encoding drug targets

    DEFF Research Database (Denmark)

    Rasmussen, Henrik Berg; Dahmcke, Christina Mackeprang

    2012-01-01

    The objective of the present study was to identify structural variants of drug target-encoding genes on a genome-wide scale. We also aimed at identifying drugs that are potentially amenable for individualization of treatments based on knowledge about structural variation in the genes encoding the...

  6. Genome-wide association analysis identifies six new loci associated with forced vital capacity

    NARCIS (Netherlands)

    Loth, Daan W.; Artigas, Maria Soler; Gharib, Sina A.; Wain, Louise V.; Franceschini, Nora; Koch, Beate; Pottinger, Tess D.; Smith, Albert Vernon; Duan, Qing; Oldmeadow, Chris; Lee, Mi Kyeong; Strachan, David P.; James, Alan L.; Huffman, Jennifer E.; Vitart, Veronique; Ramasamy, Adaikalavan; Wareham, Nicholas J.; Kaprio, Jaakko; Wang, Xin-Qun; Trochet, Holly; Kaonen, Mika; Flexeder, Claudia; Albrecht, Eva; Lopez, Lorna M.; de Jong, Kim; Thyagarajan, Bharat; Alves, Alexessander Couto; Enroth, Stefan; Omenaas, Ernst; Joshi, Peter K.; Fall, Tove; Vinuela, Ana; Launer, Lenore J.; Loehr, Laura R.; Fornage, Myriam; Li, Guo; Wik, Jemma B.; Tang, Wenbo; Manichaikul, Ani; Lahousse, Lies; Harris, Tamara B.; North, Kari E.; Rudnicka, Alicja R.; Hui, Jennie; Gu, Xiangjun; Lumley, Thomas; Wright, Alan F.; Hastie, Nicholas D.; Campbell, Susan; Kumar, Rajesh; Pin, Isabelle; Scott, Robert A.; Pietilainen, Kirsi H.; Surakka, Ida; Liu, Yongmei; Holliday, Elizabeth G.; Schulz, Holger; Heinrich, Joachim; Davies, Gail; Vonk, Judith M.; Wojczynski, Mary; Pouta, Anneli; Johansson, Asa; Wild, Sarah H.; Ingelsson, Erik; Rivadeneira, Fernando; Voezke, Henry; Hysi, Pirro G.; Eiriksdottir, Gudny; Morrison, Alanna C.; Rotter, Jerome I.; Gao, Wei; Postma, Dirkje S.; White, Wendy B.; Rich, Stephen S.; Hofman, Albert; Aspelund, Thor; Couper, David; Smith, Lewis J.; Psaty, Bruce M.; Lohman, Kurt; Burchard, Esteban G.; Uitterlinden, Andre G.; Garcia, Melissa; Joubert, Bonnie R.; McArdle, Wendy L.; Musk, A. Bill; Hansel, Nadia; Heckbert, Susan R.; Zgaga, Lina; van Meurs, Joyce B. J.; Navarro, Pau; Rudan, Igor; Oh, Yeon-Mok; Redline, Susan; Jarvis, Deborah L.; Rantanen, Taina; O'Connor, George T.; Ripatti, Samuli; Scott, Rodney J.; Karrasch, Stefan; Grallert, Harald; Gaddis, Nathan C.; Starr, John M.; Wijmenga, Cisca; Minster, Ryan L.; Lederer, David J.; Pekkanen, Juha; Gyllensten, Ulf; Campbe, Harry; Morris, Andrew P.; Glaeser, Sven; Hammond, Christopher J.; Burkart, Kristin M.; Beilby, John; Kritchevsky, Stephen B.; Gucinason, Vilrnundur; Hancock, Dana B.; Williams, Dale; Polasek, Ozren; Zemunik, Tatijana; Kolcic, Ivana; Petrini, Marcy F.; Wjst, Matthias; Kim, Woo Jin; Porteous, David J.; Scotland, Generation; Smith, Blair H.; Villanen, Anne; Heliovaara, Markku; Attia, John R.; Sayers, Ian; Hampel, Regina; Gieger, Christian; Deary, Ian J.; Boezen, Hendrika; Newman, Anne; Jarvelin, Marjo-Riitta; Wilson, James F.; Lind, Lars; Stricker, Bruno H.; Teumer, Alexander; Spector, Timothy D.; Melen, Erik; Peters, Marjolein J.; Lange, Leslie A.; Barr, R. Graham; Bracke, Ken R.; Verhamme, Fien M.; Sung, Joohon; Hiemstra, Pieter S.; Cassano, Patricia A.; Sood, Akshay; Hayward, Caroline; Dupuis, Josee; Hall, Ian P.; Brusselle, Guy G.; Tobin, Martin D.; London, Stephanie J.

    Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917

  7. Genome-wide association analysis identifies six new loci associated with forced vital capacity

    NARCIS (Netherlands)

    D.W. Loth (Daan); M.S. Artigas; S.A. Gharib (Sina); L.V. Wain (Louise); N. Franceschini (Nora); B. Koch (Beate); T.D. Pottinger (Tess); G.D. Smith; Q. Duan (Qing); C. Oldmeadow (Christopher); M.K. Lee (Mi Kyeong); D.P. Strachan (David); A.L. James (Alan); J.E. Huffman (Jennifer); V. Vitart (Veronique); A. Ramasamy (Adaikalavan); N.J. Wareham (Nick); J. Kaprio (Jaakko); X.-Q. Wang (Xin-Qun); H. Trochet (Holly); M. Kähönen (Mika); C. Flexeder (Claudia); E. Albrecht (Eva); L.M. Lopez (Lorna); B. Thyagarajan (Bharat); A.C. Alves (Alexessander Couto); S. Enroth (Stefan); E. Omenaas (Ernst); P.K. Joshi (Peter); M. Fall (Magnus); A. Viñuela (Ana); L.J. Launer (Lenore); L.R. Loehr (Laura); M. Fornage (Myriam); G. Li (Guo); J.B. Wilk (Jemma); W. Tang (Wenbo); A. Manichaikul (Ani); L. Lahousse (Lies); T.B. Harris (Tamara); K.E. North (Kari); A.R. Rudnicka (Alicja); J. Hui (Jennie); X. Gu (Xiangjun); T. Lumley (Thomas); A.F. Wright (Alan); N. Hastie (Nick); S. Campbell (Susan); R. Kumar (Rajesh); I. Pin (Isabelle); R.A. Scott (Robert); K.H. Pietilainen (Kirsi Hannele); I. Surakka (Ida); Y. Liu (Yongmei); E.G. Holliday (Elizabeth); H. Schulz (Holger); J. Heinrich (Joachim); G. Davies (Gail); J.M. Vonk (Judith); M.K. Wojczynski (Mary ); A. Pouta (Anneli); A. Johansson (Åsa); S.H. Wild (Sarah); E. Ingelsson (Erik); F. Rivadeneira Ramirez (Fernando); H. Völzke (Henry); P.G. Hysi (Pirro); G. Eiriksdottir (Gudny); A.C. Morrison (Alanna); J.I. Rotter (Jerome); W. Gao (Wei); D.S. Postma (Dirkje); W.B. White (Wendy); S.S. Rich (Stephen); A. Hofman (Albert); T. Aspelund (Thor); D. Couper (David); L.J. Smith (Lewis); B.M. Psaty (Bruce); K. Lohman (Kurt); E.G. Burchard (Esteban); A.G. Uitterlinden (André); M. Garcia (Melissa); B.R. Joubert (Bonnie); W.L. McArdle (Wendy); A.W. Musk (Arthur); C.R.W. Hansel (Christian); S.R. Heckbert (Susan); L. Zgaga (Lina); J.B.J. van Meurs (Joyce); P. Navarro (Pau); I. Rudan (Igor); Y.-M. Oh (Yeon-Mok); S. Redline (Susan); D.L. Jarvis (Deborah); J.H. Zhao (Jing); T. Rantanen (Taina); G.T. O'Connor (George); S. Ripatti (Samuli); R.J. Scott (Rodney); S. Karrasch (Stefan); H. Grallert (Harald); N.C. Gaddis (Nathan); J.M. Starr (John); C. Wijmenga (Cisca); R.L. Minster (Ryan); C.W. Lederer (Carsten); J. Pekkanen (Juha); U. Gyllensten (Ulf); H. Campbell (Harry); A.P. Morris (Andrew); S. Gläser (Sven); C.J. Hammond (Christopher); K.M. Burkart (Kristin); J.P. Beilby (John); S.B. Kritchevsky (Stephen); V. Gudnason (Vilmundur); D.B. Hancock (Dana); O.D. Williams (Dale); O. Polasek (Ozren); T. Zemunik (Tatijana); I. Kolcic (Ivana); M.F. Petrini (Marcy); K.T. de Jong (Kim); M. Wjst (Matthias); W.H. Kim (Woo); D.J. Porteous (David J.); G. Scotland (Generation); B.H. Smith (Blair); A. Viljanen (Anne); M. Heliovaara (Markku); J. Attia (John); I. Sayers (Ian); R. Hampel (Regina); C. Gieger (Christian); I.J. Deary (Ian); H.M. Boezen (Marike); A.B. Newman (Anne); M.-R. Jarvelin (Marjo-Riitta); J.F. Wilson (James); L. Lind (Lars); B.H.Ch. Stricker (Bruno); A. Teumer (Alexander); T.D. Spector (Timothy); E. Melén (Erik); M.J. Peters (Marjolein); L.A. Lange (Leslie); R.G. Barr (Graham); K.R. Bracke (Ken); F.M. Verhamme (Fien); J. Sung (Joohon); P.S. Hiemstra (Pieter); P.A. Cassano (Patricia); A. Sood (Akshay); C. Hayward (Caroline); J. Dupuis (Josée); I.P. Hall (Ian); G.G. Brusselle (Guy); M.D. Tobin (Martin); S.J. London (Stephanie)

    2014-01-01

    textabstractForced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in

  8. A genome wide association study links glutamate receptor pathway to sporadic Creutzfeldt-Jakob disease risk

    NARCIS (Netherlands)

    P. Sanchez-Juan (Pascual); M.T. Bishop (Matthew); G.G. Kovacs (Gabor); M. Calero (Miguel); Y.S. Aulchenko (Yurii); A. Ladogana (Anna); A. Boyd (Alison); V. Lewis (Victoria); C. Ponto (Claudia); Calero, O. (Olga); A. Poleggi (Anna); A. Carracedo (Angel); S. van der Lee (Sven); T. Ströbel (Thomas); F. Rivadeneira Ramirez (Fernando); A. Hofman (Albert); S. Haik; O. Combarros (Onofre); J. Berciano (José); A.G. Uitterlinden (André); S.J. Collins (Steven); H. Budka (Herbert); J-P. Brandel (Jean-Philippe); J.-L. Laplanche (Jean-Louis); M. Pocchiari (Maurizio); I. Zerr (Inga); R. Knight (Richard); R.G. Will (Robert); C.M. van Duijn (Cock)

    2015-01-01

    textabstractWe performed a genome-wide association (GWA) study in 434 sporadic Creutzfeldt-Jakob disease (sCJD) patients and 1939 controls from the United Kingdom, Germany and The Netherlands. The findings were replicated in an independent sample of 1109 sCJD and 2264 controls provided by a

  9. A genome-wide association search for type 2 diabetes genes in African Americans

    DEFF Research Database (Denmark)

    Palmer, Nicholette D; McDonough, Caitrin W; Hicks, Pamela J

    2012-01-01

    African Americans are disproportionately affected by type 2 diabetes (T2DM) yet few studies have examined T2DM using genome-wide association approaches in this ethnicity. The aim of this study was to identify genes associated with T2DM in the African American population. We performed a Genome Wid...

  10. Genome-wide responses of Synechocystis PCC6803 to nitrogen deprivation

    NARCIS (Netherlands)

    Krasikov, V.; Aguirre von Wobeser, E.; Huisman, J.; Ibelings, B; Matthijs, H.C.P.; Matthijs, H. C. P.

    2005-01-01

    Genome-wide responses of Synechocystis PCC6803 to nitrogen deprivation Vladimir Krasikov1, Eneas Aguirre-von-Wobeser1, Jef Huisman1, Bas Ibelings2, Hans C.P. Matthijs1 1Universiteit van Amsterdam, Amsterdam, the Netherlands; 2Netherlands Institute of Ecology, Limnological Institute, Nieuwersluis, th

  11. Genome-wide analysis of tandem repeats in plants and green algae

    Science.gov (United States)

    Zhixin Zhao; Cheng Guo; Sreeskandarajan Sutharzan; Pei Li; Craig Echt; Jie Zhang; Chun Liang

    2014-01-01

    Tandem repeats (TRs) extensively exist in the genomes of prokaryotes and eukaryotes. Based on the sequenced genomes and gene annotations of 31 plant and algal species in Phytozome version 8.0 (http://www.phytozome.net/), we examined TRs in a genome-wide scale, characterized their distributions and motif features, and explored their putative biological functions. Among...

  12. Meta-analysis of genome-wide association from genomic prediction models

    Science.gov (United States)

    A limitation of many genome-wide association studies (GWA) in animal breeding is that there are many loci with small effect sizes; thus, larger sample sizes (N) are required to guarantee suitable power of detection. To increase sample size, results from different GWA can be combined in a meta-analys...

  13. Methods for meta-analysis of genome-wide association studies

    Science.gov (United States)

    A limitation of many genome-wide association studies (GWA) in animal breeding is that there are many loci with small effect sizes; thus, larger sample sizes (N) are required to guarantee suitable power of detection. For increasing N, results from different GWA can be combined in a meta-analysis (MA-...

  14. Meta-analysis of genome wide association studies for pork quality traits

    Science.gov (United States)

    Given the importance of pork quality in the meat processing industry, genome-wide association studies were performed for eight meat quality traits and also, a meta-analysis (MA) of GWA was implemented combining independent results from pig populations. Data from three pig datasets (USMARC, Commercia...

  15. Implementing meta-analysis from genome-wide association studies for pork quality traits

    Science.gov (United States)

    Pork quality plays an important role in the meat processing industry, thus different methodologies have been implemented to elucidate the genetic architecture of traits affecting meat quality. One of the most common and widely used approaches is to perform genome-wide association (GWA) studies. Howe...

  16. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption

    NARCIS (Netherlands)

    M. Cornelis (Marilyn); E.M. Byrne; T. Esko (Tõnu); M.A. Nalls (Michael); A. Ganna (Andrea); N.P. Paynter (Nina); K.L. Monda (Keri); N. Amin; K. Fischer (Krista); F. Renström (Frida); J.S. Ngwa; V. Huikari (Ville); A. Cavadino (Alana); I.M. Nolte (Ilja M.); A. Teumer (Alexander); K. Yu; P. Marques-Vidal; R. Rawal; A. Manichaikul (Ani); M.K. Wojczynski (Mary ); J.M. Vink; J.H. Zhao; G. Burlutsky (George); J. Lahti (Jari); V. Mikkilä (Vera); R.N. Lemaitre (Rozenn ); J. Eriksson; S. Musani (Solomon); T. Tanaka; F. Geller (Frank); J. Luan; J. Hui; R. Mägi (Reedik); M. Dimitriou (Maria); M. Garcia (Melissa); W.-K. Ho; M.J. Wright (Margaret); L.M. Rose (Lynda M.); P.K.E. Magnusson (Patrik K. E.); N.L. Pedersen (Nancy L.); D.J. Couper (David); B.A. Oostra (Ben); A. Hofman (Albert); M.A. Ikram (Arfan); H.W. Tiemeier (Henning); A.G. Uitterlinden (André); F.J.A. van Rooij (Frank); I. Barroso; I. Johansson (Ingegerd); L. Xue (Luting); M. Kaakinen (Marika); L. Milani (Lili); C. Power (Christine); H. Snieder (Harold); R.P. Stolk; S.E. Baumeister (Sebastian); R. Biffar; F. Gu; F. Bastardot (Francois); Z. Kutalik; D.R. Jacobs (David); N.G. Forouhi (Nita G.); E. Mihailov (Evelin); L. Lind (Lars); C. Lindgren; K. Michaëlsson; A.P. Morris (Andrew); M.K. Jensen (Majken K.); K.T. Khaw; R.N. Luben (Robert); J.J. Wang; S. Männistö (Satu); M.-M. Perälä; M. Kähönen (Mika); T. Lehtimäki (Terho); J. Viikari (Jorma); D. Mozaffarian; K. Mukamal (Kenneth); B.M. Psaty (Bruce); A. Döring; A.C. Heath (Andrew C.); G.W. Montgomery (Grant W.); N. Dahmen (N.); T. Carithers; K.L. Tucker; L. Ferrucci (Luigi); H.A. Boyd; M. Melbye (Mads); J.L. Treur; D. Mellström (Dan); J.J. Hottenga (Jouke Jan); I. Prokopenko (Inga); A. Tönjes (Anke); P. Deloukas (Panagiotis); S. Kanoni (Stavroula); M. Lorentzon (Mattias); D.K. Houston; Y. Liu; J. Danesh (John); A. Rasheed; M.A. Mason; A.B. Zonderman; L. Franke (Lude); B.S. Kristal; J. Karjalainen (Juha); D.R. Reed; H.-J. Westra; M.K. Evans; D. Saleheen; T.B. Harris (Tamara B.); G.V. Dedoussis (George V.); G.C. Curhan (Gary); M. Stumvoll (Michael); J. Beilby (John); L.R. Pasquale; B. Feenstra; S. Bandinelli; J.M. Ordovas; A.T. Chan; U. Peters (Ulrike); C. Ohlsson (Claes); C. Gieger (Christian); N.G. Martin (Nicholas); M. Waldenberger (Melanie); D.S. Siscovick (David); O. Raitakari (Olli); J.G. Eriksson (Johan G.); P. Mitchell (Paul); D. Hunter (David); P. Kraft (Peter); E.B. Rimm (Eric B.); D.I. Boomsma (Dorret); I.B. Borecki (Ingrid); R.J.F. Loos (Ruth); N.J. Wareham (Nick); P.K. Vollenweider (Peter K.); N. Caporaso; H.J. Grabe (Hans Jörgen); M.L. Neuhouser (Marian L.); B.H.R. Wolffenbuttel (Bruce H. R.); F.B. Hu (Frank); E. Hypponen (Elina); M.-R. Jarvelin (Marjo-Riitta); L.A. Cupples (Adrienne); P.W. Franks; P.M. Ridker (Paul); C.M. Van Duijn (Cornelia M.); G. Heiss (Gerardo); A. Metspalu (Andres); K.E. North (Kari); E. Ingelsson (Erik); J.A. Nettleton; R.M. van Dam (Rob); D.I. Chasman (Daniel)

    2015-01-01

    textabstractCoffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome-wide (GW) meta-analysis of predominately regular-type coffee consumption (cups per day)

  17. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption

    NARCIS (Netherlands)

    Cornelis, M.C.; Byrne, E.M.; Esko, T.; Nalls, M.A.; Ganna, A.; Paynter, N.; Monda, K.L.; Amin, N.; Fischer, K.; Renstrom, F.; Ngwa, J.S.; Huikari, V.; Cavadino, A.; Nolte, I.M.; Teumer, A.; Yu, K.; Marques-Vidal, P.; Rawal, R.; Manichaikul, A.; Wojczynski, M.K.; Vink, J.M.; Zhao, J.H.; Burlutsky, G.; Lahti, J.; Mikkila, V.; Lemaitre, R.N.; Eriksson, J.; Musani, S.K.; Tanaka, T.; Geller, F.; Luan, J.; Hui, J.; Magi, R.; Dimitriou, M.; Garcia, M.E.; Ho, W.K.; Wright, M.J.; Rose, L.M.; Magnusson, P.K.; Pedersen, N.L.; Couper, D.; Oostra, B.A.; Hofman, A.; Ikram, M.A.; Tiemeier, H.W.; Uitterlinden, A.G.; Rooij, F.J. van; Barroso, I.; Johansson, I.; Xue, L.; Kaakinen, M.; Milani, L.; Power, C.; Snieder, H.; Stolk, R.P.; Baumeister, S.E.; Biffar, R.; Gu, F.; Bastardot, F.; Kutalik, Z.; Jacobs, D.R., Jr.; Forouhi, N.G.; Mihailov, E.; Lind, L.; Lindgren, C.; Michaelsson, K.; Morris, A.; Jensen, M.; Khaw, K.T.; Luben, R.N.; Wang, J.J.; Mannisto, S.; Perala, M.M.; Kahonen, M.; Lehtimaki, T.; Viikari, J.; Mozaffarian, D.; Mukamal, K.; Psaty, B.M.; Doring, A.; Heath, A.C.; Montgomery, G.W.; Dahmen, N.; Carithers, T.; Tucker, K.L.; Ferrucci, L.; Boyd, H.A.; Melbye, M.; Treur, J.L.; Mellstrom, D.; Hottenga, J.J.; Prokopenko, I.; Tonjes, A.; Deloukas, P.; Kanoni, S.; Lorentzon, M.; Houston, D.K.; Liu, Y.; Danesh, J.; Rasheed, A.; Bloem, B.R.; Post, B.; Scheffer, H.; Warrenburg, B.P.C. van de

    2015-01-01

    Coffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome-wide (GW) meta-analysis of predominately regular-type coffee consumption (cups per day) among up to

  18. A genome wide association study links glutamate receptor pathway to sporadic Creutzfeldt-Jakob disease risk

    NARCIS (Netherlands)

    P. Sanchez-Juan (Pascual); M.T. Bishop (Matthew); G.G. Kovacs (Gabor); M. Calero (Miguel); Y.S. Aulchenko (Yurii); A. Ladogana (Anna); A. Boyd (Alison); V. Lewis (Victoria); C. Ponto (Claudia); Calero, O. (Olga); A. Poleggi (Anna); A. Carracedo (Angel); S. van der Lee (Sven); T. Ströbel (Thomas); F. Rivadeneira Ramirez (Fernando); A. Hofman (Albert); S. Haik; O. Combarros (Onofre); J. Berciano (José); A.G. Uitterlinden (André); S.J. Collins (Steven); H. Budka (Herbert); J-P. Brandel (Jean-Philippe); J.-L. Laplanche (Jean-Louis); M. Pocchiari (Maurizio); I. Zerr (Inga); R. Knight (Richard); R.G. Will (Robert); C.M. van Duijn (Cock)

    2015-01-01

    textabstractWe performed a genome-wide association (GWA) study in 434 sporadic Creutzfeldt-Jakob disease (sCJD) patients and 1939 controls from the United Kingdom, Germany and The Netherlands. The findings were replicated in an independent sample of 1109 sCJD and 2264 controls provided by a multinat

  19. Software engineering the mixed model for genome-wide association studies on large samples

    Science.gov (United States)

    Mixed models improve the ability to detect phenotype-genotype associations in the presence of population stratification and multiple levels of relatedness in genome-wide association studies (GWAS), but for large data sets the resource consumption becomes impractical. At the same time, the sample siz...

  20. Genome-wide gene expression changes in an industrial clavulanic acid overproduction strain of Streptomyces clavuligerus

    NARCIS (Netherlands)

    Medema, M.H.; Alam, M.T.; Heijne, W.H.M.; Berg, M.A. van den; Müller, U.; Trefzer, A.; Bovenberg, R.A.L.; Breitling, R.; Takano, E.

    2011-01-01

    To increase production of the important pharmaceutical compound clavulanic acid, a beta-lactamase inhibitor, both random mutagenesis approaches and rational engineering of Streptomyces clavuligerus strains have been extensively applied. Here, for the first time, we compared genome-wide gene expressi

  1. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

    NARCIS (Netherlands)

    O'Dushlaine, Colm; Rossin, Lizzy; Lee, Phil H.; Duncan, Laramie; Parikshak, Neelroop N.; Newhouse, Stephen; Ripke, Stephan; Neale, Benjamin M.; Purcell, Shaun M.; Posthuma, Danielle; Nurnberger, John I.; Lee, S. Hong; Faraone, Stephen V.; Perlis, Roy H.; Mowry, Bryan J.; Thapar, Anita; Goddard, Michael E.; Witte, John S.; Absher, Devin; Agartz, Ingrid; Akil, Huda; Amin, Farooq; Andreassen, Ole A.; Anjorin, Adebayo; Anney, Richard; Anttila, Verneri; Arking, Dan E.; Asherson, Philip; Azevedo, Maria H.; Backlund, Lena; Badner, Judith A.; Bailey, Anthony J.; Banaschewski, Tobias; Barchas, Jack D.; Barnes, Michael R.; Barrett, Thomas B.; Bass, Nicholas; Battaglia, Agatino; Bauer, Michael; Bayes, Monica; Bellivier, Frank; Bergen, Sarah E.; Berrettini, Wade; Betancur, Catalina; Bettecken, Thomas; Biederman, Joseph; Binder, Elisabeth B.; Black, Donald W.; Blackwood, Douglas H. R.; Bloss, Cinnamon S.; Boehnke, Michael; Boomsma, Dorret I.; Breuer, Rene; Bruggeman, Richard; Cormican, Paul; Buccola, Nancy G.; Buitelaar, Jan K.; Bunney, William E.; Buxbaum, Joseph D.; Byerley, William F.; Byrne, Enda M.; Caesar, Sian; Cahn, Wiepke; Cantor, Rita M.; Casas, Miguel; Chakravarti, Aravinda; Chambert, Kimberly; Choudhury, Khalid; Cichon, Sven; Mattheisen, Manuel; Cloninger, C. Robert; Collier, David A.; Cook, Edwin H.; Coon, Hilary; Cormand, Bru; Corvin, Aiden; Coryell, William H.; Craig, David W.; Craig, Ian W.; Crosbie, Jennifer; Cuccaro, Michael L.; Curtis, David; Czamara, Darina; Datta, Susmita; Dawson, Geraldine; Day, Richard; De Geus, Eco J.; Degenhardt, Franziska; Djurovic, Srdjan; Donohoe, Gary J.; Doyle, Alysa E.; Duan, Jubao; Dudbridge, Frank; Duketis, Eftichia; Ebstein, Richard P.; Edenberg, Howard J.; Elia, Josephine; Ennis, Sean; Etain, Bruno; Fanous, Ayman; Farmer, Anne E.; Ferrier, I. Nicol; Flicldnger, Matthew; Fombonne, Eric; Foroud, Tatiana; Frank, Josef; Franke, Barbara; Fraser, Christine; Freedman, Robert; Freimer, Nelson B.; Freitag, Christine M.; Friedl, Marion; Frisen, Louise; Gailagher, Louise; Gejman, Pablo V.; Georgieva, Lyudmila; Gershon, Elliot S.; Giegling, Ina; Gill, Michael; Gordon, Scott D.; Gordon-Smith, Katherine; Green, Elaine K.; Greenwood, Tiffany A.; Grice, Dorothy E.; Gross, Magdalena; Grozeva, Detelina; Guan, Weihua; Gurling, Hugh; De Haan, Lieuwe; Haines, Jonathan L.; Hakonarson, Hakon; Hallmayer, Joachim; Hamilton, Steven P.; Hamshere, Marian L.; Hansen, Thomas F.; Hartmann, Annette M.; Hautzinger, Martin; Heath, Andrew C.; Henders, Anjali K.; Herms, Stefan; Hickie, Ian B.; Hipolito, Maria; Hoefels, Susanne; Holsboer, Florian; Hoogendijk, Witte J.; Hottenga, Jouke-Jan; Hultman, Christina M.; Hus, Vanessa; Ingason, Andres; Ising, Marcus; Jamain, Stephane; Jones, Edward G.; Jones, Ian; Jones, Lisa; Tzeng, Jung-Ying; Kaehler, Anna K.; Kahn, Rene S.; Kandaswamy, Radhika; Keller, Matthew C.; Kennedy, James L.; Kenny, Elaine; Kent, Lindsey; Kim, Yunjung; Kirov, George K.; Klauck, Sabine M.; Klei, Lambertus; Knowles, James A.; Kohli, Martin A.; Koller, Daniel L.; Konte, Bettina; Korszun, Ania; Krabbendam, Lydia; Krasucki, Robert; Kuntsi, Jonna; Kwan, Phoenix; Landen, Mikael; Laengstroem, Niklas; Lathrop, Mark; Lawrence, Jacob; Lawson, William B.; Leboyer, Marion; Ledbetter, David H.; Lencz, Todd; Lesch, Klaus-Peter; Levinson, Douglas F.; Lewis, Cathryn M.; Li, Jun; Lichtenstein, Paul; Lieberman, Jeffrey A.; Lin, Dan-Yu; Linszen, Don H.; Liu, Chunyu; Lohoff, Falk W.; Loo, Sandra K.; Lord, Catherine; Lowe, Jennifer K.; Lucae, Susanne; MacIntyre, Donald J.; Madden, Pamela A. F.; Maestrini, Elena; Magnusson, Patrik K. E.; Mahon, Pamela B.; Maier, Wolfgang; Malhotra, Anil K.; Mane, Shrikant M.; Martin, Christa L.; Martin, Nicholas G.; Matthews, Keith; Mattingsdal, Morten; McCarroll, Steven A.; McGhee, Kevin A.; McGough, James J.; McGrath, Patrick J.; McGuffin, Peter; McInnis, Melvin G.; McIntosh, Andrew; McKinney, Rebecca; McLean, Alan W.; McMahon, Francis J.; McMahon, William M.; McQuillin, Andrew; Medeiros, Helena; Medland, Sarah E.; Meier, Sandra; Melle, Ingrid; Meng, Fan; Meyer, Jobst; Middeldorp, Christel M.; Middleton, Lefkos; Milanova, Vihra; Miranda, Ana; Monaco, Anthony P.; Montgomery, Grant W.; Moran, Jennifer L.; Moreno-De-Luca, Daniel; Morken, Gunnar; Morris, Derek W.; Morrow, Eric M.; Moskvina, Valentina; Muglia, Pierandrea; Muehleisen, Thomas W.; Muir, Walter J.; Mueller-Myhsok, Bertram; Murtha, Michael; Myers, Richard M.; Myin-Germeys, Inez; Neale, Michael C.; Nelson, Stan F.; Nievergelt, Caroline M.; Nikolov, Ivan; Nimgaonkar, Vishwajit; Nolen, Willem A.; Noethen, Markus M.; Nwulia, Evaristus A.; Nyholt, Dale R.; Oades, Robert D.; Olincy, Ann; Oliveira, Guiomar; Olsen, Line; Ophoff, Roel A.; Osby, Urban; Owen, Michael J.; Palotie, Aarno; Parr, Jeremy R.; Paterson, Andrew D.; Pato, Carlos N.; Pato, Michele T.; Penninx, Brenda W.; Pergadia, Michele L.; Pericak-Vance, Margaret A.; Pickard, Benjamin S.; Pimm, Jonathan; Piven, Joseph; Potash, James B.; Poustka, Fritz; Propping, Peter; Puri, Vinay; Quested, Digby J.; Quinn, Emma M.; Ramos-Quiroga, Josep Antoni; Rasmussen, Henrik B.; Raychaudhuri, Soumya; Rehnstroem, Karola; Reif, Andreas; Ribases, Marta; Rice, John P.; Rietschel, Marcella; Roeder, Kathryn; Roeyers, Herbert; Rothenberger, Aribert; Rouleau, Guy; Ruderfer, Douglas; Rujescu, Dan; Sanders, Alan R.; Sanders, Stephan J.; Santangelo, Susan L.; Sergeant, Joseph A.; Schachar, Russell; Schalling, Martin; Schatzberg, Alan F.; Scheftner, William A.; Schellenberg, Gerard D.; Scherer, Stephen W.; Schork, Nicholas J.; Schulze, Thomas G.; Schumacher, Johannes; Schwarz, Markus; Scolnick, Edward; Scott, Laura J.; Shi, Jianxin; Shilling, Paul D.; Shyn, Stanley I.; Silverman, Jeremy M.; Slager, Susan L.; Smalley, Susan L.; Smit, Johannes H.; Smith, Erin N.; Sonuga-Barke, Edmund J. S.; Cair, David St.; State, Matthew; Steffens, Michael; Steinhausen, Hans-Christoph; Strauss, John S.; Strohmaier, Jana; Stroup, T. Scott; Sutdiffe, James S.; Szatmari, Peter; Szelinger, Szabocls; Thirumalai, Srinivasa; Thompson, Robert C.; Todorov, Alexandre A.; Tozzi, Federica; Treutlein, Jens; Uhr, Manfred; Van den Oord, Edwin J. C. G.; Van Grootheest, Gerard; Van Os, Jim; Vicente, Astrid M.; Vieland, Veronica J.; Vincent, John B.; Visscher, Peter M.; Walsh, Christopher A.; Wassink, Thomas H.; Watson, Stanley J.; Weissman, Myrna M.; Werge, Thomas; Wienker, Thomas F.; Wijsman, Ellen M.; Willemsen, Gonneke; Williams, Nigel; Willsey, A. Jeremy; Witt, Stephanie H.; Xu, Wei; Young, Allan H.; Yu, Timothy W.; Zammit, Stanley; Zandi, Peter P.; Zhang, Peng; Zitman, Frans G.; Zoellner, Sebastian; Devlin, Bernie; Kelsoe, John R.; Sklar, Pamela; Daly, Mark J.; O'Donovan, Michael C.; Craddock, Nicholas; Kendler, Kenneth S.; Weiss, Lauren A.; Wray, Naomi R.; Zhao, Zhaoming; Geschwind, Daniel H.; Sullivan, Patrick F.; Smoller, Jordan W.; Holmans, Peter A.; Breen, Gerome

    2015-01-01

    Genome-wide association studies (GWAS) of psychiatric disorders have identified multiple genetic associations with such disorders, but better methods are needed to derive the underlying biological mechanisms that these signals indicate. We sought to identify biological pathways in GWAS data from ove

  2. Genome-wide association analysis identifies three new breast cancer susceptibility loci

    NARCIS (Netherlands)

    Ghoussaini, M.; Fletcher, O.; Michailidou, K.; Turnbull, C.; Schmidt, M.K.; Dicks, E.; Dennis, J.; Wang, Q.; Humphreys, M.K.; Luccarini, C.; Baynes, C.; Conroy, D.; Maranian, M.; Ahmed, S.; Driver, K.; Johnson, N.; Orr, N.; dos Santos Silva, I.; Waisfisz, Q.; Meijers-Heijboer, H.; Uitterlinden, A.G.; Rivadeneira, F.; Hall, P.; Czene, K.; Irwanto, A.; Liu, J.; Nevanlinna, H.; Aittomaki, K.; Blomqvist, C.; Meindl, A.; Schmutzler, R.K.; Muller-Myhsok, B.; Lichtner, P.; Chang-Claude, J.; Hein, R.; Nickels, S.; Flesch-Janys, D.; Tsimiklis, H.; Makalic, E.; Schmidt, D.; Bui, M.; Hopper, J.L.; Apicella, C.; Park, D.J.; Southey, M.; Hunter, D.J.; Chanock, S.J.; Broeks, A.; Verhoef, S.; Hogervorst, F.B.; Fasching, P.A.; Lux, M.P.; Beckmann, M.W.; Ekici, A.B.; Sawyer, E.; Tomlinson, I.; Kerin, M.; Marme, F.; Schneeweiss, A.; Sohn, C.; Burwinkel, B.; Guenel, P.; Truong, T.; Cordina-Duverger, E.; Menegaux, F.; Bojesen, S.E.; Nordestgaard, B.G.; Nielsen, S.F.; Flyger, H.; Milne, R.L.; Alonso, M.R.; Gonzalez-Neira, A.; Benitez, J.; Anton-Culver, H.; Ziogas, A.; Bernstein, L.; Dur, C.C.; Brenner, H.; Muller, H.; Arndt, V.; Stegmaier, C.; Justenhoven, C.; Brauch, H.; Bruning, T.; Wang-Gohrke, S.; Eilber, U.; Dork, T.; Schurmann, P.; Bremer, M.; Hillemanns, P.; Bogdanova, N.V.; Antonenkova, N.N.; Rogov, Y.I.; Karstens, J.H.; Bermisheva, M.; Prokofieva, D.; Ligtenberg, M.J.

    2012-01-01

    Breast cancer is the most common cancer among women. To date, 22 common breast cancer susceptibility loci have been identified accounting for approximately 8% of the heritability of the disease. We attempted to replicate 72 promising associations from two independent genome-wide association studies

  3. Genome-wide computational prediction and analysis of core promoter elements across plant monocots and dicots

    Science.gov (United States)

    Transcription initiation, essential to gene expression regulation, involves recruitment of basal transcription factors to the core promoter elements (CPEs). The distribution of currently known CPEs across plant genomes is largely unknown. This is the first large scale genome-wide report on the compu...

  4. Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure

    NARCIS (Netherlands)

    L.V. Wain (Louise); G.C. Verwoert (Germaine); P.F. O'Reilly (Paul); G. Shi (Gang); T. Johnson (Toby); M. Bochud (Murielle); K. Rice (Kenneth); P. Henneman (Peter); A.V. Smith (Albert Vernon); G.B. Ehret (Georg); N. Amin (Najaf); M.G. Larson (Martin); V. Mooser (Vincent); D. Hadley (David); M. Dörr (Marcus); J.C. Bis (Joshua); T. Aspelund (Thor); T. Esko (Tõnu); A.C.J.W. Janssens (Cécile); J.H. Zhao; S.C. Heath (Simon); M. Laan (Maris); J. Fu (Jingyuan); G. Pistis (Giorgio); J. Luan; G. Lucas (Gavin); N. Pirastu (Nicola); I. Pichler (Irene); A.U. Jackson (Anne); R.J. Webster (Rebecca J.); F.F. Zhang; J. Peden (John); R. Schmidt (Reinhold); T. Tanaka (Toshiko); H. Campbell (Harry); W. Igl (Wilmar); Y. Milaneschi (Yuri); J.J. Hottenga (Jouke Jan); V. Vitart (Veronique); D.I. Chasman (Daniel); S. Trompet (Stella); J.L. Bragg-Gresham (Jennifer L.); B.Z. Alizadeh (Behrooz); J.C. Chambers (John); X. Guo (Xiuqing); T. Lehtimäki (Terho); B. Kuhnel (Brigitte); L.M. Lopez; O. Polasek (Ozren); M. Boban (Mladen); C.P. Nelson (Christopher P.); A.C. Morrison (Alanna); V. Pihur (Vasyl); S.K. Ganesh (Santhi); A. Hofman (Albert); S. Kundu (Suman); F.U.S. Mattace Raso (Francesco); F. Rivadeneira Ramirez (Fernando); E.J.G. Sijbrands (Eric); A.G. Uitterlinden (André); S.J. Hwang; R.S. Vasan (Ramachandran Srini); Y.A. Wang (Ying); S.M. Bergmann (Sven); P. Vollenweider (Peter); G. Waeber (Gérard); J. Laitinen (Jaana); A. Pouta (Anneli); P. Zitting (Paavo); W.L. McArdle (Wendy); H.K. Kroemer (Heyo); U. Völker (Uwe); H. Völzke (Henry); N.L. Glazer (Nicole); K.D. Taylor (Kent); T.B. Harris (Tamara); H. Alavere (Helene); T. Haller (Toomas); A. Keis (Aime); M.L. Tammesoo; Y.S. Aulchenko (Yurii); K-T. Khaw (Kay-Tee); P. Galan (Pilar); S. Hercberg (Serge); G.M. Lathrop (Mark); S. Eyheramendy (Susana); E. Org (Elin); S. Sõber (Siim); X. Lu (Xiaowen); I.M. Nolte (Ilja); B.W.J.H. Penninx (Brenda); T. Corre (Tanguy); C. Masciullo (Corrado); C. Sala (Cinzia); L. Groop (Leif); B.F. Voight (Benjamin); O. Melander (Olle); C.J. O'Donnell (Christopher); V. Salomaa (Veikko); P. d' Adamo (Pio); A. Fabretto (Antonella); F. Faletra (Flavio); S. Ulivi (Shelia); F. Del Greco M (Fabiola); M.F. Facheris (Maurizio); F.S. Collins (Francis); R.N. Bergman (Richard); J.P. Beilby (John); J. Hung (Judy); A.W. Musk (Arthur); M. Mangino (Massimo); S.Y. Shin (So Youn); N. Soranzo (Nicole); H. Watkins (Hugh); A. Goel (Anuj); A. Hamsten (Anders); P. Gider (Pierre); M. Loitfelder (Marisa); M. Zeginigg (Marion); D.G. Hernandez (Dena); S.S. Najjar (Samer); P. Navarro (Pau); S.H. Wild (Sarah); A.M. Corsi (Anna Maria); A. Singleton (Andrew); E.J.C. de Geus (Eco); G.A.H.M. Willemsen (Gonneke); A.N. Parker (Alex); L.M. Rose (Lynda); B.M. Buckley (Brendan M.); D.J. Stott (David. J.); M. Orrù (Marco); M. Uda (Manuela); M.M. van der Klauw (Melanie); X. Li (Xiaohui); J. Scott (James); Y.D.I. Chen (Yii-Der Ida); G.L. Burke (Greg); M. Kähönen (Mika); J. Viikari (Jorma); A. Döring (Angela); T. Meitinger (Thomas); G.S. Davis; J.M. Starr (John); V. Emilsson (Valur); A.S. Plump (Andrew); J.H. Lindeman (Jan H.); P.A.C. 't Hoen (Peter); I.R. König (Inke); J.F. Felix (Janine); R. Clarke; J. Hopewell; H. Ongen (Halit); M.M.B. Breteler (Monique); S. Debette (Stéphanie); A.L. DeStefano (Anita); M. Fornage (Myriam); G.F. Mitchell (Gary); H. Holm (Hilma); K. Stefansson (Kari); G. Thorleifsson (Gudmar); U. Thorsteinsdottir (Unnur); N.J. Samani (Nilesh); M. Preuss (Michael); I. Rudan (Igor); C. Hayward (Caroline); I.J. Deary (Ian); H.E. Wichmann (Heinz Erich); O. Raitakari (Olli); W. Palmas (Walter); J.S. Kooner (Jaspal); R.P. Stolk (Ronald); J.W. Jukema (Jan Wouter); A.F. Wright (Alan); D.I. Boomsma (Dorret); S. Bandinelli (Stefania); U. Gyllensten (Ulf); J.F. Wilson (James); L. Ferrucci (Luigi); M. Farrall (Martin); T.D. Spector (Timothy); L.J. Palmer; J. Tuomilehto (Jaakko); A. Pfeufer (Arne); P. Gasparini (Paolo); D.S. Siscovick (David); D. Altshuler (David); R.J.F. Loos (Ruth); D. Toniolo (Daniela); H. Snieder (Harold); C. Gieger (Christian); P. Meneton (Pierre); N.J. Wareham (Nick); B.A. Oostra (Ben); A. Metspalu (Andres); L.J. Launer (Lenore); R. Rettig (Rainer); D.P. Strachan (David); J.S. Beckmann (Jacques); J.C.M. Witteman (Jacqueline); J.A.P. Willems van Dijk (Ko); E.A. Boerwinkle (Eric); M. Boehnke (Michael); P.M. Ridker (Paul); M.R. Järvelin; A. Chakravarti (Aravinda); J. Erdmann (Jeanette); V. Gudnason (Vilmundur); C. Newton-Cheh (Christopher); D. Levy (Daniel); P. Arora (Pankaj)

    2011-01-01

    textabstractNumerous genetic loci have been associated with systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Europeans. We now report genome-wide association studies of pulse pressure (PP) and mean arterial pressure (MAP). In discovery (N = 74,064) and follow-up studies (N =

  5. Genome-wide association studies in economics and entrepreneurship research: Promises and limitations

    NARCIS (Netherlands)

    Ph.D. Koellinger (Philipp); M.J.H.M. van der Loos (Matthijs); P.J.F. Groenen (Patrick); A.R. Thurik (Roy); F. Rivadeneira Ramirez (Fernando); F.J.A. van Rooij (Frank); A.G. Uitterlinden (André); A. Hofman (Albert)

    2010-01-01

    textabstractThe recently developed genome-wide association study (GWAS) design enables the identification of genes specifically associated with economic outcomes such as occupational and other choices. This is a promising new approach for economics research which we aim to apply to the choice for en

  6. Genome-wide association studies in economics and entrepreneurship research: promises and limitations

    NARCIS (Netherlands)

    Ph.D. Koellinger (Philipp); M.J.H.M. van der Loos (Matthijs); P.J.F. Groenen (Patrick); A.R. Thurik (Roy); F. Rivadeneira Ramirez (Fernando); F.J.A. van Rooij (Frank)

    2010-01-01

    textabstractThe recently developed genome-wide association study (GWAS) design enables the identification of genes specifically associated with economic outcomes such as occupational and other choices. This is a promising new approach for economics research which we aim to apply to the choice for en

  7. Regulatory Network Construction in Arabidopsis using genome-wide gene expression QTLs

    NARCIS (Netherlands)

    Keurentjes, J.J.B.; Fu, J.J.; Terpstra, I.R.; Garcia, J.M.; van den Ackerveken, G.; Snoek, L.B.; Peeters, A.J.M.; Vreugdenhil, D.; Koornreef, M.; Jansen, R.C.

    2007-01-01

    Regulatory network construction in Arabidopsis by using genome-wide gene expression quantitative trait loci.Keurentjes JJ, Fu J, Terpstra IR, Garcia JM, van den Ackerveken G, Snoek LB, Peeters AJ, Vreugdenhil D, Koornneef M, Jansen RC. Laboratory of Genetics, Wageningen University, Arboretumlaan 4,

  8. Regulatory network construction in Arabidopsis by using genome-wide gene expression quantitative trait loci

    NARCIS (Netherlands)

    Keurentjes, Joost J.B.; Fu, Jingyuan; Terpstra, Inez R.; Garcia, Juan M.; Ackerveken, Guido van den; Snoek, L. Basten; Peeters, Anton J.M.; Vreugdenhil, Dick; Koornneef, Maarten; Jansen, Ritsert C.

    2007-01-01

    Accessions of a plant species can show considerable genetic differences that are analyzed effectively by using recombinant inbred line (RIL) populations. Here we describe the results of genome-wide expression variation analysis in an RIL population of Arabidopsis thaliana. For many genes, variation

  9. Seven prostate cancer susceptibility loci identified by a multi-stage genome-wide association study

    DEFF Research Database (Denmark)

    Kote-Jarai, Zsofia; Olama, Ali Amin Al; Giles, Graham G

    2011-01-01

    Prostate cancer (PrCa) is the most frequently diagnosed male cancer in developed countries. We conducted a multi-stage genome-wide association study for PrCa and previously reported the results of the first two stages, which identified 16 PrCa susceptibility loci. We report here the results of st...

  10. Genome-wide association study of prostate cancer-specific survival

    DEFF Research Database (Denmark)

    Szulkin, Robert; Karlsson, Robert; Whitington, Thomas

    2015-01-01

    BACKGROUND: Unnecessary intervention and overtreatment of indolent disease are common challenges in clinical management of prostate cancer. Improved tools to distinguish lethal from indolent disease are critical. METHODS: We performed a genome-wide survival analysis of cause-specific death in 24,...

  11. Genome-Wide Association Study in African-Americans with Systemic Lupus Erythematosus

    Science.gov (United States)

    2013-09-01

    Americans with Systemic Lupus Erythematosus PRINCIPAL INVESTIGATOR: John Harley, M.D., Ph.D...September 2012 – 31 August 2013 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER Genome-Wide Association Study in African-Americans with Systemic Lupus ...SUPPLEMENTARY NOTES 14. ABSTRACT Systemic lupus erythematosus ( lupus ) is a potentially deadly systemic autoimmune disease that disproportionately

  12. Genome-wide association scan meta-analysis identifies three loci influencing adiposity and fat distribution

    NARCIS (Netherlands)

    C.M. Lindgren (Cecilia); I.M. Heid (Iris); J.C. Randall (Joshua); C. Lamina (Claudia); V. Steinthorsdottir (Valgerdur); L. Qi (Lu); E.K. Speliotes (Elizabeth); G. Thorleifsson (Gudmar); C.J. Willer (Cristen); B.M. Herrera (Blanca); A.U. Jackson (Anne); N. Lim (Noha); P. Scheet (Paul); N. Soranzo (Nicole); N. Amin (Najaf); Y.S. Aulchenko (Yurii); J.C. Chambers (John); A. Drong (Alexander); J. Luan; H.N. Lyon (Helen); F. Rivadeneira Ramirez (Fernando); S. Sanna (Serena); N. Timpson (Nicholas); M.C. Zillikens (Carola); H.Z. Jing; P. Almgren (Peter); S. Bandinelli (Stefania); A.J. Bennett (Amanda); R.N. Bergman (Richard); L.L. Bonnycastle (Lori); S. Bumpstead (Suzannah); S.J. Chanock (Stephen); L. Cherkas (Lynn); P.S. Chines (Peter); L. Coin (Lachlan); C. Cooper (Charles); G. Crawford (Gabe); A. Doering (Angela); A. Dominiczak (Anna); A.S.F. Doney (Alex); S. Ebrahim (Shanil); P. Elliott (Paul); M.R. Erdos (Michael); K. Estrada Gil (Karol); L. Ferrucci (Luigi); G. Fischer (Guido); N.G. Forouhi (Nita); C. Gieger (Christian); H. Grallert (Harald); C.J. Groves (Christopher); S.M. Grundy (Scott); C. Guiducci (Candace); D. Hadley (David); A. Hamsten (Anders); A.S. Havulinna (Aki); A. Hofman (Albert); R. Holle (Rolf); J.W. Holloway (John); T. Illig (Thomas); B. Isomaa (Bo); L.C. Jacobs (Leonie); K. Jameson (Karen); P. Jousilahti (Pekka); F. Karpe (Fredrik); J. Kuusisto (Johanna); J. Laitinen (Jaana); G.M. Lathrop (Mark); D.A. Lawlor (Debbie); M. Mangino (Massimo); W.L. McArdle (Wendy); T. Meitinger (Thomas); M.A. Morken (Mario); A.P. Morris (Andrew); P. Munroe (Patricia); N. Narisu (Narisu); A. Nordström (Anna); B.A. Oostra (Ben); C.N.A. Palmer (Colin); F. Payne (Felicity); J. Peden (John); I. Prokopenko (Inga); F. Renström (Frida); A. Ruokonen (Aimo); V. Salomaa (Veikko); M.S. Sandhu (Manjinder); L.J. Scott (Laura); A. Scuteri (Angelo); K. Silander (Kaisa); K. Song (Kijoung); X. Yuan (Xin); H.M. Stringham (Heather); A.J. Swift (Amy); T. Tuomi (Tiinamaija); M. Uda (Manuela); P. Vollenweider (Peter); G. Waeber (Gérard); C. Wallace (Chris); G.B. Walters (Bragi); M.N. Weedon (Michael); J.C.M. Witteman (Jacqueline); C. Zhang (Cuilin); M. Caulfield (Mark); F.S. Collins (Francis); G.D. Smith; I.N.M. Day (Ian); P.W. Franks (Paul); A.T. Hattersley (Andrew); F.B. Hu (Frank); M.-R. Jarvelin (Marjo-Riitta); A. Kong (Augustine); J.S. Kooner (Jaspal); M. Laakso (Markku); E. Lakatta (Edward); V. Mooser (Vincent); L. Peltonen (Leena Johanna); N.J. Samani (Nilesh); T.D. Spector (Timothy); D.P. Strachan (David); T. Tanaka (Toshiko); J. Tuomilehto (Jaakko); A.G. Uitterlinden (André); P. Tikka-Kleemola (Päivi); N.J. Wareham (Nick); H. Watkins (Hugh); D. Waterworth (Dawn); M. Boehnke (Michael); P. Deloukas (Panagiotis); L. Groop (Leif); D.J. Hunter (David); U. Thorsteinsdottir (Unnur); D. Schlessinger (David); H.E. Wichmann (Erich); T.M. Frayling (Timothy); G.R. Abecasis (Gonçalo); J.N. Hirschhorn (Joel); R.J.F. Loos (Ruth); J-A. Zwart (John-Anker); K.L. Mohlke (Karen); I. Barroso (Inês); M.I. McCarthy (Mark)

    2009-01-01

    textabstractTo identify genetic loci influencing central obesity and fat distribution, we performed a meta-analysis of 16 genome-wide association studies (GWAS, N = 38,580) informative for adult waist circumference (WC) and waist-hip ratio (WHR). We selected 26 SNPs for follow-up, for which the evid

  13. Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function

    NARCIS (Netherlands)

    D.B. Hancock (Dana); M. Eijgelsheim (Mark); J.B. Wilk (Jemma); S.A. Gharib (Sina); L.R. Loehr (Laura); K. Marciante (Kristin); N. Franceschini (Nora); Y.M.T.A. van Durme; T.H. Chen; R.G. Barr (Graham); M.B. Schabath (Matthew); D.J. Couper (David); G.G. Brusselle (Guy); B.M. Psaty (Bruce); P. Tikka-Kleemola (Päivi); J.I. Rotter (Jerome); A.G. Uitterlinden (André); A. Hofman (Albert); N.M. Punjabi (Naresh); F. Rivadeneira Ramirez (Fernando); A.C. Morrison (Alanna); P.L. Enright (Paul); K.E. North (Kari); S.R. Heckbert (Susan); T. Lumley (Thomas); B.H.Ch. Stricker (Bruno); G.T. O'Connor (George); S.J. London (Stephanie)

    2010-01-01

    textabstractSpirometric measures of lung function are heritable traits that reflect respiratory health and predict morbidity and mortality. We meta-analyzed genome-wide association studies for two clinically important lung-function measures: forced expiratory volume in the first second (FEV1) and

  14. Genome-wide association scan meta-analysis identifies three loci influencing adiposity and fat distribution

    NARCIS (Netherlands)

    C.M. Lindgren (Cecilia); I.M. Heid (Iris); J.C. Randall (Joshua); C. Lamina (Claudia); V. Steinthorsdottir (Valgerdur); L. Qi (Lu); E.K. Speliotes (Elizabeth); G. Thorleifsson (Gudmar); C.J. Willer (Cristen); B.M. Herrera (Blanca); A.U. Jackson (Anne); N. Lim (Noha); P. Scheet (Paul); N. Soranzo (Nicole); N. Amin (Najaf); Y.S. Aulchenko (Yurii); J.C. Chambers (John); A. Drong (Alexander); J. Luan; H.N. Lyon (Helen); F. Rivadeneira Ramirez (Fernando); S. Sanna (Serena); N.J. Timpson (Nicholas); M.C. Zillikens (Carola); H.Z. Jing; P. Almgren (Peter); S. Bandinelli (Stefania); A.J. Bennett (Amanda); R.N. Bergman (Richard); L.L. Bonnycastle (Lori); S. Bumpstead (Suzannah); S.J. Chanock (Stephen); L. Cherkas (Lynn); P.S. Chines (Peter); L. Coin (Lachlan); C. Cooper (Charles); G. Crawford (Gabe); A. Doering (Angela); A. Dominiczak (Anna); A.S.F. Doney (Alex); S. Ebrahim (Shanil); P. Elliott (Paul); M.R. Erdos (Michael); K. Estrada Gil (Karol); L. Ferrucci (Luigi); G. Fischer (Guido); N.G. Forouhi (Nita); C. Gieger (Christian); H. Grallert (Harald); C.J. Groves (Christopher); S.M. Grundy (Scott); C. Guiducci (Candace); D. Hadley (David); A. Hamsten (Anders); A.S. Havulinna (Aki); A. Hofman (Albert); R. Holle (Rolf); J.W. Holloway (John); T. Illig (Thomas); B. Isomaa (Bo); L.C. Jacobs (Leonie); K. Jameson (Karen); P. Jousilahti (Pekka); F. Karpe (Fredrik); J. Kuusisto (Johanna); J. Laitinen (Jaana); G.M. Lathrop (Mark); D.A. Lawlor (Debbie); M. Mangino (Massimo); W.L. McArdle (Wendy); T. Meitinger (Thomas); M.A. Morken (Mario); A.P. Morris (Andrew); P. Munroe (Patricia); N. Narisu (Narisu); A. Nordström (Anna); B.A. Oostra (Ben); C.N.A. Palmer (Colin); F. Payne (Felicity); J. Peden (John); I. Prokopenko (Inga); F. Renström (Frida); A. Ruokonen (Aimo); V. Salomaa (Veikko); M.S. Sandhu (Manjinder); L.J. Scott (Laura); A. Scuteri (Angelo); K. Silander (Kaisa); K. Song (Kijoung); X. Yuan (Xin); H.M. Stringham (Heather); A.J. Swift (Amy); T. Tuomi (Tiinamaija); M. Uda (Manuela); P. Vollenweider (Peter); G. Waeber (Gérard); C. Wallace (Chris); G.B. Walters (Bragi); M.N. Weedon (Michael); J.C.M. Witteman (Jacqueline); C. Zhang (Cuilin); M. Caulfield (Mark); F.S. Collins (Francis); G.D. Smith; I.N.M. Day (Ian); P.W. Franks (Paul); A.T. Hattersley (Andrew); F.B. Hu (Frank); M.-R. Jarvelin (Marjo-Riitta); A. Kong (Augustine); J.S. Kooner (Jaspal); M. Laakso (Markku); E. Lakatta (Edward); V. Mooser (Vincent); L. Peltonen (Leena Johanna); N.J. Samani (Nilesh); T.D. Spector (Timothy); D.P. Strachan (David); T. Tanaka (Toshiko); J. Tuomilehto (Jaakko); A.G. Uitterlinden (André); P. Tikka-Kleemola (Päivi); N.J. Wareham (Nick); H. Watkins (Hugh); D. Waterworth (Dawn); M. Boehnke (Michael); P. Deloukas (Panagiotis); L. Groop (Leif); D.J. Hunter (David); U. Thorsteinsdottir (Unnur); D. Schlessinger (David); H.E. Wichmann (Erich); T.M. Frayling (Timothy); G.R. Abecasis (Gonçalo); J.N. Hirschhorn (Joel); R.J.F. Loos (Ruth); J-A. Zwart (John-Anker); K.L. Mohlke (Karen); I. Barroso (Inês); M.I. McCarthy (Mark)

    2009-01-01

    textabstractTo identify genetic loci influencing central obesity and fat distribution, we performed a meta-analysis of 16 genome-wide association studies (GWAS, N = 38,580) informative for adult waist circumference (WC) and waist-hip ratio (WHR). We selected 26 SNPs for follow-up, for which the

  15. Genome-wide association study identifies new prostate cancer susceptibility loci

    DEFF Research Database (Denmark)

    Schumacher, Fredrick R.; Berndt, Sonja I.; Siddiq, Afshan

    2011-01-01

    Prostate cancer (PrCa) is the most common non-skin cancer diagnosed among males in developed countries and the second leading cause of cancer mortality, yet little is known regarding its etiology and factors that influence clinical outcome. Genome-wide association studies (GWAS) of PrCa have iden...

  16. Genome-wide association analysis identifies six new loci associated with forced vital capacity

    NARCIS (Netherlands)

    D.W. Loth (Daan); M.S. Artigas; S.A. Gharib (Sina); L.V. Wain (Louise); N. Franceschini (Nora); B. Koch (Beate); T.D. Pottinger (Tess); G.D. Smith; Q. Duan (Qing); C. Oldmeadow (Christopher); M.K. Lee (Mi Kyeong); D.P. Strachan (David); A.L. James (Alan); J.E. Huffman (Jennifer); V. Vitart (Veronique); A. Ramasamy (Adaikalavan); N.J. Wareham (Nick); J. Kaprio (Jaakko); X.-Q. Wang (Xin-Qun); H. Trochet (Holly); M. Kähönen (Mika); C. Flexeder (Claudia); E. Albrecht (Eva); L.M. Lopez (Lorna); B. Thyagarajan (Bharat); A.C. Alves (Alexessander Couto); S. Enroth (Stefan); E. Omenaas (Ernst); P.K. Joshi (Peter); M. Fall (Magnus); A. Viñuela (Ana); L.J. Launer (Lenore); L.R. Loehr (Laura); M. Fornage (Myriam); G. Li (Guo); J.B. Wilk (Jemma); W. Tang (Wenbo); A. Manichaikul (Ani); L. Lahousse (Lies); T.B. Harris (Tamara); K.E. North (Kari); A.R. Rudnicka (Alicja); J. Hui (Jennie); X. Gu (Xiangjun); T. Lumley (Thomas); A.F. Wright (Alan); N. Hastie (Nick); S. Campbell (Susan); R. Kumar (Rajesh); I. Pin (Isabelle); R.A. Scott (Robert); K.H. Pietilainen (Kirsi Hannele); I. Surakka (Ida); Y. Liu (Yongmei); E.G. Holliday (Elizabeth); H. Schulz (Holger); J. Heinrich (Joachim); G. Davies (Gail); J.M. Vonk (Judith); M.K. Wojczynski (Mary ); A. Pouta (Anneli); A. Johansson (Åsa); S.H. Wild (Sarah); E. Ingelsson (Erik); F. Rivadeneira Ramirez (Fernando); H. Völzke (Henry); P.G. Hysi (Pirro); G. Eiriksdottir (Gudny); A.C. Morrison (Alanna); J.I. Rotter (Jerome); W. Gao (Wei); D.S. Postma (Dirkje); W.B. White (Wendy); S.S. Rich (Stephen); A. Hofman (Albert); T. Aspelund (Thor); D. Couper (David); L.J. Smith (Lewis); B.M. Psaty (Bruce); K. Lohman (Kurt); E.G. Burchard (Esteban); A.G. Uitterlinden (André); M. Garcia (Melissa); B.R. Joubert (Bonnie); W.L. McArdle (Wendy); A.W. Musk (Arthur); C.R.W. Hansel (Christian); S.R. Heckbert (Susan); L. Zgaga (Lina); J.B.J. van Meurs (Joyce); P. Navarro (Pau); I. Rudan (Igor); Y.-M. Oh (Yeon-Mok); S. Redline (Susan); D.L. Jarvis (Deborah); J.H. Zhao (Jing); T. Rantanen (Taina); G.T. O'Connor (George); S. Ripatti (Samuli); R.J. Scott (Rodney); S. Karrasch (Stefan); H. Grallert (Harald); N.C. Gaddis (Nathan); J.M. Starr (John); C. Wijmenga (Cisca); R.L. Minster (Ryan); C.W. Lederer (Carsten); J. Pekkanen (Juha); U. Gyllensten (Ulf); H. Campbell (Harry); A.P. Morris (Andrew); S. Gläser (Sven); C.J. Hammond (Christopher); K.M. Burkart (Kristin); J.P. Beilby (John); S.B. Kritchevsky (Stephen); V. Gudnason (Vilmundur); D.B. Hancock (Dana); O.D. Williams (Dale); O. Polasek (Ozren); T. Zemunik (Tatijana); I. Kolcic (Ivana); M.F. Petrini (Marcy); K.T. de Jong (Kim); M. Wjst (Matthias); W.H. Kim (Woo); D.J. Porteous (David J.); G. Scotland (Generation); B.H. Smith (Blair); A. Viljanen (Anne); M. Heliovaara (Markku); J. Attia (John); I. Sayers (Ian); R. Hampel (Regina); C. Gieger (Christian); I.J. Deary (Ian); H.M. Boezen (Marike); A.B. Newman (Anne); M.-R. Jarvelin (Marjo-Riitta); J.F. Wilson (James); L. Lind (Lars); B.H.Ch. Stricker (Bruno); A. Teumer (Alexander); T.D. Spector (Timothy); E. Melén (Erik); M.J. Peters (Marjolein); L.A. Lange (Leslie); R.G. Barr (Graham); K.R. Bracke (Ken); F.M. Verhamme (Fien); J. Sung (Joohon); P.S. Hiemstra (Pieter); P.A. Cassano (Patricia); A. Sood (Akshay); C. Hayward (Caroline); J. Dupuis (Josée); I.P. Hall (Ian); G.G. Brusselle (Guy); M.D. Tobin (Martin); S.J. London (Stephanie)

    2014-01-01

    textabstractForced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in

  17. Comparing genome-wide chromatin profiles using ChIP-chip or ChIP-seq

    NARCIS (Netherlands)

    Johannes, F.; Wardenaar, R.; Colome-Tatche, M.; Mousson, F.; de Graaf, P.; Mokry, M.; Guryev, V.; Timmers, H.T.; Cuppen, E.; Jansen, R.

    2010-01-01

    MOTIVATION: ChIP-chip and ChIP-seq technologies provide genome-wide measurements of various types of chromatin marks at an unprecedented resolution. With ChIP samples collected from different tissue types and/or individuals, we can now begin to characterize stochastic or systematic changes in epigen

  18. A mega-analysis of genome-wide association studies for major depressive disorder

    NARCIS (Netherlands)

    Sullivan, Patrick F.; Daly, Mark J.; Ripke, Stephan; Lewis, Cathryn M.; Lin, Dan-Yu; Wray, Naomi R.; Neale, Benjamin; Levinson, Douglas F.; Breen, Gerome; Byrne, Enda M.; Wray, Naomi R.; Levinson, Douglas F.; Rietschel, Marcella; Hoogendijk, Witte; Ripke, Stephan; Sullivan, Patrick F.; Hamilton, Steven P.; Levinson, Douglas F.; Lewis, Cathryn M.; Ripke, Stephan; Weissman, Myrna M.; Wray, Naomi R.; Breuer, Rene; Cichon, Sven; Degenhardt, Franziska; Frank, Josef; Gross, Magdalena; Herms, Stefan; Hoefels, Susanne; Maier, Wolfgang; Mattheisen, Manuel; Noeethen, Markus M.; Rietschel, Marcella; Schulze, Thomas G.; Steffens, Michael; Treutlein, Jens; Boomsma, Dorret I.; De Geus, Eco J.; Hoogendijk, Witte; Hottenga, Jouke Jan; Jung-Ying, Tzeng; Lin, Dan-Yu; Middeldorp, Christel M.; Nolen, Willem A.; Penninx, Brenda P.; Smit, Johannes H.; Sullivan, Patrick F.; van Grootheest, Gerard; Willemsen, Gonneke; Zitman, Frans G.; Coryell, William H.; Knowles, James A.; Lawson, William B.; Levinson, Douglas F.; Potash, James B.; Scheftner, William A.; Shi, Jianxin; Weissman, Myrna M.; Holsboer, Florian; Muglia, Pierandrea; Tozzi, Federica; Blackwood, Douglas H. R.; Boomsma, Dorret I.; De Geus, Eco J.; Hottenga, Jouke Jan; MacIntyre, Donald J.; McIntosh, Andrew; McLean, Alan; Middeldorp, Christel M.; Penninx, Brenda P.; Ripke, Stephan; Smit, Johannes H.; Sullivan, Patrick F.; van Grootheest, Gerard; Willemsen, Gonneke; Zitman, Frans G.; van den Oord, Edwin J. C. G.; Holsboer, Florian; Lucae, Susanne; Binder, Elisabeth; Mueller-Myhsok, Bertram; Ripke, Stephan; Czamara, Darina; Kohli, Martin A.; Ising, Marcus; Uhr, Manfred; Bettecken, Thomas; Barnes, Michael R.; Breen, Gerome; Craig, Ian W.; Farmer, Anne E.; Lewis, Cathryn M.; McGuffin, Peter; Muglia, Pierandrea; Byrne, Enda; Gordon, Scott D.; Heath, Andrew C.; Henders, Anjali K.; Hickie, Ian B.; Madden, Pamela A. F.; Martin, Nicholas G.; Montgomery, Grant M.; Nyholt, Dale R.; Pergadia, Michele L.; Wray, Naomi R.; Hamilton, Steven P.; McGrath, Patrick J.; Shyn, Stanley I.; Slager, Susan L.; Oskarsson, Hoegni; Sigurdsson, Engilbert; Stefansson, Hreinn; Stefansson, Kari; Steinberg, Stacy; Thorgeirsson, Thorgeir; Levinson, Douglas F.; Potash, James B.; Shi, Jianxin; Weissman, Myrna M.; Guipponi, Michel; Lewis, Glyn; O'Donovan, Michael; Tansey, Katherine E.; Uher, Rudolf; Coryell, William H.; Knowles, James A.; Lawson, William B.; Levinson, Douglas F.; Potash, James B.; Scheftner, William A.; Shi, Jianxin; Weissman, Myrna M.; Castro, Victor M.; Churchill, Susanne E.; Fava, Maurizio; Gainer, Vivian S.; Gallagher, Patience J.; Goryachev, Sergey; Iosifescu, Dan V.; Kohane, Isaac S.; Murphy, Shawn N.; Perlis, Roy H.; Smoller, Jordan W.; Weilburg, Jeffrey B.; Kutalik, Zoltan; Preisig, Martin; Grabe, Hans J.; Nauck, Matthias; Schulz, Andrea; Teumer, Alexander; Voelzke, Henry; Landen, Mikael; Lichtenstein, Paul; Magnusson, Patrik; Pedersen, Nancy; Viktorin, Alexander

    2013-01-01

    Prior genome-wide association studies (GWAS) of major depressive disorder (MDD) have met with limited success. We sought to increase statistical power to detect disease loci by conducting a GWAS mega-analysis for MDD. In the MDD discovery phase, we analyzed more than 1.2 million autosomal and X chro

  19. Meta-analysis of genome-wide linkage scans of attention deficit hyperactivity disorder

    NARCIS (Netherlands)

    Zhou, Kaixin; Dempfle, Astrid; Arcos-Burgos, Mauricio; Bakker, Steven C; Banaschewski, Tobias; Biederman, Joseph; Buitelaar, Jan; Castellanos, F Xavier; Doyle, Alysa; Ebstein, Richard P; Ekholm, Jenny; Forabosco, Paola; Franke, Barbara; Freitag, Christine; Friedel, Susann; Gill, Michael; Hebebrand, Johannes; Hinney, Anke; Jacob, Christian; Lesch, Klaus Peter; Loo, Sandra K; Lopera, Francisco; McCracken, James T; McGough, James J; Meyer, Jobst; Mick, Eric; Miranda, Ana; Muenke, Maximilian; Mulas, Fernando; Nelson, Stanley F; Nguyen, T Trang; Oades, Robert D; Ogdie, Matthew N; Palacio, Juan David; Pineda, David; Reif, Andreas; Renner, Tobias J; Roeyers, Herbert; Romanos, Marcel; Rothenberger, Aribert; Schäfer, Helmut; Sergeant, Joseph; Sinke, Richard J; Smalley, Susan L; Sonuga-Barke, Edmund; Steinhausen, Hans-Christoph; van der Meulen, Emma; Walitza, Susanne; Warnke, Andreas; Lewis, Cathryn M; Faraone, Stephen V; Asherson, Philip

    2008-01-01

    Genetic contribution to the development of attention deficit hyperactivity disorder (ADHD) is well established. Seven independent genome-wide linkage scans have been performed to map loci that increase the risk for ADHD. Although significant linkage signals were identified in some of the studies, th

  20. Genome-wide association study of NMDA receptor coagonists in human cerebrospinal fluid and plasma

    NARCIS (Netherlands)

    Luykx, J. J.; Bakker, S. C.; Visser, W. F.; Verhoeven-Duif, N.; Buizer-Voskamp, J. E.; Den Heijer, J. M.; Boks, M. P. M.; Sul, J. H.; Eskin, E.; Ori, A. P.; Cantor, R. M.; Vorstman, J.; Strengman, E.; DeYoung, J.; Kappen, T. H.; Pariama, E.; van Dongen, E. P. A.; Borgdorff, P.; Bruins, P.; de Koning, T. J.; Kahn, R. S.; Ophoff, R. A.

    2015-01-01

    The N-methyl-D-aspartate receptor (NMDAR) coagonists glycine, D-serine and L-proline play crucial roles in NMDAR-dependent neurotransmission and are associated with a range of neuropsychiatric disorders. We conducted the first genome-wide association study of concentrations of these coagonists and t

  1. Genome-wide association study of NMDA receptor coagonists in human cerebrospinal fluid and plasma

    NARCIS (Netherlands)

    Luykx, J. J.; Bakker, S. C.; Visser, W. F.; Verhoeven-Duif, N.; Buizer-Voskamp, J. E.; den Heijer, J. M.; Boks, M. P M; Sul, J. H.; Eskin, E.; Ori, A. P.; Cantor, R. M.; Vorstman, J.; Strengman, E.; DeYoung, J.; Kappen, T. H.; Pariama, E.; van Dongen, E. P A; Borgdorff, P.; Bruins, P.; de Koning, T. J.; Kahn, R. S.; Ophoff, R. A.

    2015-01-01

    The N-methyl-d-aspartate receptor (NMDAR) coagonists glycine, d-serine and l-proline play crucial roles in NMDAR-dependent neurotransmission and are associated with a range of neuropsychiatric disorders. We conducted the first genome-wide association study of concentrations of these coagonists and t

  2. Visual genome-wide RNAi screening to identify human host factors required for Trypanosoma cruzi infection

    CSIR Research Space (South Africa)

    Genovesio, A

    2011-05-01

    Full Text Available cellular microarray-based RNAi screening over glass slides method was first described by Erfle and collaborators in 2004 [29] and was further developed for high-throughput scale in genome-wide screens investigating mitosis, cell cycle progression...

  3. Novel loci associated with usual sleep duration: The CHARGE Consortium Genome-Wide Association Study

    NARCIS (Netherlands)

    Gottlieb, D.J.; Hek, K.; Chen, T.H.; Watson, N.F.; Eiriksdottir, G.; Byrne, E.M.; Cornelis, M.; Warby, S.C.; Bandinelli, S.; Cherkas, L.; Evans, D.S.; Grabe, H.J.; Lahti, J.; Li, M.; Lehtimaki, T.; Lumley, T.; Marciante, K.D.; Pérusse, L.; Psaty, B.M.; Robbins, J.; Tranah, G.J.; Vink, J.M.; Wilk, J.B.; Stafford, J.M.; Bellis, C.; Biffar, R.; Bouchard, C.; Cade, B.; Curhan, G.C.; Eriksson, J.G.; Ewert, R.; Ferrucci, L.; Fulop, T.; Gehrman, P.R.; Goodloe, R.; Harris, T.B.; Heath, A.C.; Hernandez, D.G.; Hofman, A.; Hottenga, J.J.; Hunter, D.J.; Jensen, M.K.; Johnson, A.D.; Kahonen, M.; Kao, L.; Kraft, P.; Larkin, E.K.; Lauderdale, D.S.; Luik, A.I.; Medici, M.; Montgomery, G.W.; Palotie, A.; Patel, S.R.; Pistis, G.; Porcu, E.; Quaye, L.; Raitakari, O.; Redline, S.; Rimm, E.B.; Rotter, J.I.; Smith, A.V.; Spector, T.D.; Teumer, A.; Uitterlinden, A.G.; Vohl, M.C.; Widen, E.; Willemsen, G.; Young, T.; Zhang, X.; Liu, Y.; Blangero, J.; Boomsma, D.I.; Gudnason, V.; Hu, F.; Mangino, M.; Martin, N.G.; O'Connor, G.T.; Stone, K.L.; Tanaka, T.; Viikari, J.; Gharib, S.A.; Punjabi, N.M.; Raikkonen, K.; Völzke, H.; Mignot, E.; Tiemeier, H.

    2015-01-01

    Usual sleep duration is a heritable trait correlated with psychiatric morbidity, cardiometabolic disease and mortality, although little is known about the genetic variants influencing this trait. A genome-wide association study (GWAS) of usual sleep duration was conducted using 18 population-based c

  4. Novel loci associated with usual sleep duration: The CHARGE Consortium Genome-Wide Association Study

    NARCIS (Netherlands)

    D.J. Gottlieb (Daniel J); K. Hek (Karin); T.-H. Chen; N.F. Watson; G. Eiriksdottir (Gudny); E.M. Byrne; M. Cornelis (Marilyn); S.C. Warby; S. Bandinelli; L. Cherkas (Lynn); D.S. Evans (Daniel); H.J. Grabe (Hans Jörgen); J. Lahti (Jari); M. Li (Man); T. Lehtimäki (Terho); T. Lumley (Thomas); K. Marciante (Kristin); L. Perusse (Louis); B.M. Psaty (Bruce); J. Robbins; G.J. Tranah (Gregory); J.M. Vink; J.B. Wilk; J.M. Stafford; C. Bellis (Claire); R. Biffar; C. Bouchard (Claude); B. Cade; G.C. Curhan (Gary); J. Eriksson; R. Ewert; L. Ferrucci (Luigi); T. Fülöp; P.R. Gehrman (Philip); R. Goodloe (Robert); T.B. Harris (Tamara B.); A.C. Heath (Andrew C.); D.G. Hernandez (Dena); A. Hofman (Albert); J.J. Hottenga (Jouke Jan); D. Hunter (David); M.K. Jensen (Majken K.); A.D. Johnson (Andrew); M. Kähönen (Mika); W.H.L. Kao (Wen); P. Kraft (Peter); E.K. Larkin; D.S. Lauderdale; A.I. Luik (Annemarie I); M. Medici; G.W. Montgomery (Grant W.); A. Palotie; S.R. Patel (Sanjay); G. Pistis (Giorgio); E. Porcu; L. Quaye (Lydia); O. Raitakari (Olli); S. Redline (Susan); E.B. Rimm (Eric B.); J.I. Rotter; A.V. Smith; T.D. Spector (Timothy); A. Teumer (Alexander); A.G. Uitterlinden (André); M.-C. Vohl (Marie-Claude); E. Widen; G.A.H.M. Willemsen (Gonneke); T.L. Young (Terri L.); X. Zhang; Y. Liu; J. Blangero (John); D.I. Boomsma (Dorret); V. Gudnason (Vilmundur); F. Hu; M. Mangino; N.G. Martin (Nicholas); G.T. O'Connor (George); K.L. Stone (Katie L); T. Tanaka; J. Viikari (Jorma); S.A. Gharib (Sina); N.M. Punjabi (Naresh); K. Räikkönen (Katri); H. Völzke (Henry); E. Mignot; H.W. Tiemeier (Henning)

    2015-01-01

    textabstractUsual sleep duration is a heritable trait correlated with psychiatric morbidity, cardiometabolic disease and mortality, although little is known about the genetic variants influencing this trait. A genome-wide association study (GWAS) of usual sleep duration was conducted using 18 popula

  5. Genome-wide association studies of human adiposity: Zooming in on synapses

    DEFF Research Database (Denmark)

    Sandholt, Camilla H.; Grarup, Niels; Pedersen, Oluf;

    2015-01-01

    The decade anniversary for genome-wide assocn. studies (GWAS) is approaching, and this exptl. approach has commenced a deeper understanding of the genetics underlying complex diseases. In obesity genetics the GIANT (Genetic Investigation of ANthropometric Traits) consortium has played a crucial...

  6. Genome-wide meta-analysis identifies multiple novel associations and ethnic heterogeneity of psoriasis susceptibility

    NARCIS (Netherlands)

    Yin, Xianyong; Low, Hui Qi; Wang, Ling; Li, Yonghong; Ellinghaus, Eva; Han, Jiali; Estivill, Xavier; Sun, Liangdan; Zuo, Xianbo; Shen, Changbing; Zhu, Caihong; Zhang, Anping; Sanchez, Fabio; Padyukov, Leonid; Catanese, Joseph J; Krueger, Gerald G; Duffin, Kristina Callis; Mucha, Sören; Weichenthal, Michael; Weidinger, Stephan; Lieb, Wolfgang; Foo, Jia Nee; Li, Yi; Sim, Karseng; Liany, Herty; Irwan, Ishak; Teo, Yikying; Theng, Colin T S; Gupta, Rashmi; Bowcock, Anne; De Jager, Philip L; Qureshi, Abrar A; de Bakker, Paul I W; Seielstad, Mark; Liao, Wilson; Ståhle, Mona; Franke, Andre; Zhang, Xuejun; Liu, Jianjun

    2015-01-01

    Psoriasis is a common inflammatory skin disease with complex genetics and different degrees of prevalence across ethnic populations. Here we present the largest trans-ethnic genome-wide meta-analysis (GWMA) of psoriasis in 15,369 cases and 19,517 controls of Caucasian and Chinese ancestries. We iden

  7. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

    NARCIS (Netherlands)

    Felix, Janine F.; Bradfield, Jonathan P.; Monnereau, Claire; van der Valk, Ralf J. P.; Stergiakouli, Evie; Chesi, Alessandra; Gaillard, Romy; Feenstra, Bjarke; Thiering, Elisabeth; Kreiner-Moller, Eskil; Mahajan, Anubha; Pitkanen, Niina; Joro, Raimo; Cavadino, Alana; Huikari, Ville; Franks, Steve; Groen-Blokhuis, Maria M.; Cousminer, Diana L.; Marsh, Julie A.; Lehtimaki, Terho; Curtin, John A.; Vioque, Jesus; Ahluwalia, Tarunveer S.; Myhre, Ronny; Price, Thomas S.; Vilor-Tejedor, Natalia; Yengo, Loic; Grarup, Niels; Ntalla, Ioanna; Ang, Wei; Atalay, Mustafa; Bisgaard, Hans; Blakemore, Alexandra I.; Bonnefond, Amelie; Carstensen, Lisbeth; Eriksson, Johan; Flexeder, Claudia; Franke, Lude; Geller, Frank; Geserick, Mandy; Hartikainen, Anna-Liisa; Haworth, Claire M. A.; Hirschhorn, Joel N.; Hofman, Albert; Holm, Jens-Christian; Horikoshi, Momoko; Hottenga, Jouke Jan; Huang, Jinyan; Kadarmideen, Haja N.; Kahonen, Mika; Kiess, Wieland; Lakka, Hanna-Maaria; Lakka, Timo A.; Lewin, Alexandra M.; Liang, Liming; Lyytikainen, Leo-Pekka; Ma, Baoshan; Magnus, Per; McCormack, Shana E.; McMahon, George; Mentch, Frank D.; Middeldorp, Christel M.; Murray, Clare S.; Pahkala, Katja; Pers, Tune H.; Pfaefle, Roland; Postma, Dirkje S.; Power, Christine; Simpson, Angela; Sengpiel, Verena; Tiesler, Carla M. T.; Torrent, Maties; Uitterlinden, Andre G.; van Meurs, Joyce B.; Vinding, Rebecca; Waage, Johannes; Wardle, Jane; Zeggini, Eleftheria; Zemel, Babette S.; Dedoussis, George V.; Pedersen, Oluf; Froguel, Philippe; Sunyer, Jordi; Plomin, Robert; Jacobsson, Bo; Hansen, Torben; Gonzalez, Juan R.; Custovic, Adnan; Raitakari, Olli T.; Pennell, Craig E.; Widen, Elisabeth; Boomsma, Dorret I.; Koppelman, Gerard H.; Sebert, Sylvain; Jarvelin, Marjo-Riitta; Hypponen, Elina; McCarthy, Mark I.; Lindi, Virpi; Harri, Niinikoski; Koerner, Antje; Bonnelykke, Klaus; Heinrich, Joachim; Melbye, Mads; Rivadeneira, Fernando; Hakonarson, Hakon; Ring, Susan M.; Smith, George Davey; Sorensen, Thorkild I. A.; Timpson, Nicholas J.; Grant, Struan F. A.; Jaddoe, Vincent W. V.

    2016-01-01

    A large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown. We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex-and age-adjusted standard deviation scores. We

  8. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

    NARCIS (Netherlands)

    J.F. Felix (Janine); J.P. Bradfield (Jonathan); C. Monnereau; R.J.P. van der Valk (Ralf); E. Stergiakouli (Evie); A. Chesi (Alessandra); R. Gaillard (Romy); B. Feenstra (Bjarke); E. Thiering (Elisabeth); E. Kreiner-Møller (Eskil); A. Mahajan (Anubha); Niina Pitkänen; R. Joro (Raimo); A. Cavadino (Alana); V. Huikari (Ville); S. Franks (Steve); M. Groen-Blokhuis (Maria); D.L. Cousminer (Diana); J.A. Marsh (Julie); T. Lehtimäki (Terho); J.A. Curtin (John); J. Vioque (Jesus); T.S. Ahluwalia (Tarunveer Singh); R. Myhre (Ronny); T.S. Price (Thomas); Natalia Vilor-Tejedor; L. Yengo (Loic); N. Grarup (Niels); I. Ntalla (Ioanna); W.Q. Ang (Wei); M. Atalay (Mustafa); H. Bisgaard (Hans); A.I.F. Blakemore (Alexandra); A. Bonnefond (Amélie); L. Carstensen (Lisbeth); J.G. Eriksson (Johan G.); C. Flexeder (Claudia); L. Franke (Lude); F. Geller (Frank); M. Geserick (Mandy); A.L. Hartikainen; C.M.A. Haworth (Claire M.); J.N. Hirschhorn (Joel N.); A. Hofman (Albert); J.-C. Holm (Jens-Christian); M. Horikoshi (Momoko); J.J. Hottenga (Jouke Jan); J. Huang (Jian); H.N. Kadarmideen (Haja N.); M. Kähönen (Mika); W. Kiess (Wieland); T.A. Lakka (Timo); T.A. Lakka (Timo); A. Lewin (Alex); L. Liang (Liming); L.-P. Lyytikäinen (Leo-Pekka); B. Ma (Baoshan); P. Magnus (Per); S.E. McCormack (Shana E.); G. Mcmahon (George); F.D. Mentch (Frank); C.M. Middeldorp (Christel); C.S. Murray (Clare S.); K. Pahkala (Katja); T.H. Pers (Tune); R. Pfäffle (Roland); D.S. Postma (Dirkje); C. Power (Christine); A. Simpson (Angela); V. Sengpiel (Verena); C. Tiesler (Carla); M. Torrent (Maties); A.G. Uitterlinden (André); J.B.J. van Meurs (Joyce); R. Vinding (Rebecca); J. Waage (Johannes); J. Wardle (Jane); E. Zeggini (Eleftheria); B.S. Zemel (Babette S.); G.V. Dedoussis (George); O. Pedersen (Oluf); P. Froguel (Philippe); J. Sunyer (Jordi); R. Plomin (Robert); B. Jacobsson (Bo); T. Hansen (Torben); J.R. Gonzalez (Juan R.); A. Custovic; O.T. Raitakari (Olli T.); C.E. Pennell (Craig); Elisabeth Widén; D.I. Boomsma (Dorret); G.H. Koppelman (Gerard); S. Sebert (Sylvain); M.-R. Jarvelin (Marjo-Riitta); E. Hypponen (Elina); M.I. McCarthy (Mark); V. Lindi (Virpi); N. Harri (Niinikoski); A. Körner (Antje); K. Bønnelykke (Klaus); J. Heinrich (Joachim); M. Melbye (Mads); F. Rivadeneira Ramirez (Fernando); H. Hakonarson (Hakon); S.M. Ring (Susan); G.D. Smith; T.I.A. Sørensen (Thorkild I.A.); N.J. Timpson (Nicholas); S.F.A. Grant (Struan); V.W.V. Jaddoe (Vincent W. V.); H.J. Kalkwarf (Heidi J.); J.M. Lappe (Joan M.); V. Gilsanz (Vicente); S.E. Oberfield (Sharon E.); J.A. Shepherd (John A.); A. Kelly (Andrea)

    2016-01-01

    textabstractA large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown.We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation

  9. Genome-wide ancestry of 17th-century enslaved Africans from the Caribbean

    DEFF Research Database (Denmark)

    Schroeder, Hannes; Avila-Arcos, Maria C.; Malaspinas, Anna-Sapfo

    2015-01-01

    Between 1500 and 1850, more than 12 million enslaved Africans were transported to the New World. The vast majority were shipped from West and West-Central Africa, but their precise origins are largely unknown. We used genome-wide ancient DNA analyses to investigate the genetic origins of three...

  10. Genome-wide association study of kidney function decline in individuals of European descent

    NARCIS (Netherlands)

    Gorski, Mathias; Tin, Adrienne; Garnaas, Maija; McMahon, Gearoid M.; Chu, Audrey Y.; Tayo, Bamidele O.; Pattaro, Cristian; Teumer, Alexander; Chasman, Daniel I.; Chalmers, John; Hamet, Pavel; Tremblay, Johanne; Woodward, Marc; Aspelund, Thor; Eiriksdottir, Gudny; Gudnason, Vilmundur; Harris, Tamara B.; Launer, Lenore J.; Smith, Albert V.; Mitchell, Braxton D.; O'Connell, Jeffrey R.; Shuldiner, Alan R.; Coresh, Josef; Li, Man; Freudenberger, Paul; Hofer, Edith; Schmidt, Helena; Schmidt, Reinhold; Holliday, Elizabeth G.; Mitchell, Paul; Wang, Jie Jin; de Boer, Ian H.; Li, Guo; Siscovick, David S.; Kutalik, Zoltan; Corre, Tanguy; Vollenweider, Peter; Waeber, Gerard; Gupta, Jayanta; Kanetsky, Peter A.; Hwang, Shih-Jen; Olden, Matthias; Yang, Qiong; de Andrade, Mariza; Atkinson, Elizabeth J.; Kardia, Sharon L. R.; Turner, Stephen T.; Stafford, Jeanette M.; Ding, Jingzhong; Liu, Yongmei; Barlassina, Cristina; Cusi, Daniele; Salvi, Erika; Staessen, Jan A.; Ridker, Paul M.; Grallert, Harald; Meisinger, Christa; Mueller-Nurasyid, Martina; Kraemer, Bernhard K.; Kramer, Holly; Rosas, Sylvia E.; Nolte, Ilja M.; Penninx, Brenda W.; Snieder, Harold; Del Greco, M. Fabiola; Franke, Andre; Noethlings, Ute; Lieb, Wolfgang; Bakker, Stephan J. L.; Gansevoort, Ron T.; van der Harst, Pim; Dehghan, Abbas; Franco, Oscar H.; Hofman, Albert; Rivadeneira, Fernando; Sedaghat, Sanaz; Uitterlinden, Andre G.; Coassin, Stefan; Haun, Margot; Kollerits, Barbara; Kronenberg, Florian; Paulweber, Bernhard; Aumann, Nicole; Endlich, Karlhans; Pietzner, Mike; Voelker, Uwe; Rettig, Rainer; Chouraki, Vincent; Helmer, Catherine; Lambert, Jean-Charles; Metzger, Marie; Stengel, Benedicte; Lehtimaki, Terho; Lyytikainen, Leo-Pekka; Raitakari, Olli; Johnson, Andrew; Parsa, Afshin; Bochud, Murielle; Heid, Iris M.; Goessling, Wolfram; Kottgen, Anna; Kao, W. H. Linda; Fox, Caroline S.; Boeger, Carsten A.

    2015-01-01

    Genome-wide association studies (GWASs) have identified multiple loci associated with cross-sectional eGFR, but a systematic genetic analysis of kidney function decline over time is missing. Here we conducted a GWAS meta-analysis among 63,558 participants of European descent, initially from 16 cohor

  11. Genome-wide association study of kidney function decline in individuals of European descent

    NARCIS (Netherlands)

    M. Gorski (Mathias); A. Tin (Adrienne); M. Garnaas (Maija); G.M. McMahon (Gearoid M.); A.Y. Chu (Audrey Y.); B. Tayo (Bamidele); C. Pattaro (Cristian); A. Teumer (Alexander); D.I. Chasman (Daniel); J. Chalmers (John); P. Hamet (Pavel); J. Tremblay (Johanne); M. Woodward (Mark); T. Aspelund (Thor); G. Eiriksdottir (Gudny); V. Gudnason (Vilmundur); T.B. Harris (Tamara); L.J. Launer (Lenore); A.V. Smith (Albert V.); B.D. Mitchell (Braxton); J.R. O´Connell; A.R. Shuldiner (Alan); J. Coresh (Josef); M. Li (Man); P. Freudenberger (Paul); E. Hofer (Edith); R. Schmidt (Reinhold); R. Schmidt (Reinhold); E.G. Holliday (Elizabeth); P. Mitchell (Paul); J.J. Wang (Jie Jin); I.H. de Boer (Ian); G. Li (Guo); D.S. Siscovick (David); Z. Kutalik; T. Corre (Tanguy); P. Vollenweider (Peter); G. Waeber (Gérard); J. Gupta (Jayanta); P.P. Kanetsky (Peter P.); S.J. Hwang; M. Olden (Matthias); Q. Yang (Qiong Fang); M. de Andrade (Mariza); E.J. Atkinson (Elizabeth J.); S.L.R. Kardia (Sharon); S.T. Turner (Stephen); J.M. Stafford (Jeanette M.); J. Ding (Jinhui); Y. Liu; C. Barlassina (Christina); D. Cusi (Daniele); E. Salvi (Erika); J.A. Staessen (Jan); P.M. Ridker (Paul); H. Grallert (Harald); C. Meisinger (Christa); M. Müller-Nurasyid (Martina); B.K. Krämer (Bernhard K.); H. Kramer (Holly); S.E. Rosas (Sylvia E.); I.M. Nolte (Ilja M.); B.W.J.H. Penninx (Brenda); H. Snieder (Harold); M. Fabiola Del Greco; A. Franke (Andre); U. Nöthlings (Ute); W. Lieb (Wolfgang); S.J.L. Bakker (Stephan J L); R.T. Gansevoort (Ron); P. Van Der Harst (Pim); A. Dehghan (Abbas); O.H. Franco (Oscar); A. Hofman (Albert); F. Rivadeneira Ramirez (Fernando); S. Sedaghat (Sanaz); A.G. Uitterlinden (André); S. Coassin (Stefan); M. Haun (Margot); B. Kollerits (Barbara); F. Kronenberg (Florian); B. Paulweber (Bernhard); N. Aumann (Nicole); K. Endlich (Karlhans); M. Pietzner (Mike); U. Völker (Uwe); R. Rettig (Rainer); V. Chouraki (Vincent); C. Helmer (Catherine); J.-C. Lambert (Jean-Charles); M. Metzger (Marie); B. Stengel (Benedicte); T. Lehtimäki (Terho); L.-P. Lyytikäinen (Leo-Pekka); O. Raitakari (Olli); A.D. Johnson (Andrew); A. Parsa (Afshin); M. Bochud (Murielle); I.M. Heid (Iris); W. Goessling (Wolfram); A. K̈ttgen (Anna); W.H.L. Kao (Wen); C.S. Fox (Caroline S.); C.A. Böger (Carsten)

    2015-01-01

    textabstractGenome-wide association studies (GWASs) have identified multiple loci associated with cross-sectional eGFR, but a systematic genetic analysis of kidney function decline over time is missing. Here we conducted a GWAS meta-analysis among 63,558 participants of European descent, initially f

  12. Genome-wide association studies for Agronomical Traits in a world wide Spring Barley Collection

    NARCIS (Netherlands)

    Pasam, R.K.; Sharma, R.; Malosetti, M.; Eeuwijk, van F.A.; Haseneyer, G.; Kilian, B.; Graner, A.

    2012-01-01

    Background Genome-wide association studies (GWAS) based on linkage disequilibrium (LD) provide a promising tool for the detection and fine mapping of quantitative trait loci (QTL) underlying complex agronomic traits. In this study we explored the genetic basis of variation for the traits heading dat

  13. Meta-analysis of Genome-Wide Association Studies for Extraversion

    DEFF Research Database (Denmark)

    van den Berg, Stéphanie M; de Moor, Marleen H M; Verweij, K. J. H.

    2016-01-01

    Extraversion is a relatively stable and heritable personality trait associated with numerous psychosocial, lifestyle and health outcomes. Despite its substantial heritability, no genetic variants have been detected in previous genome-wide association (GWA) studies, which may be due to relatively ...

  14. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

    DEFF Research Database (Denmark)

    Lee, S Hong; Ripke, Stephan; Neale, Benjamin M

    2013-01-01

    Most psychiatric disorders are moderately to highly heritable. The degree to which genetic variation is unique to individual disorders or shared across disorders is unclear. To examine shared genetic etiology, we use genome-wide genotype data from the Psychiatric Genomics Consortium (PGC) for cas...

  15. Genome-wide meta-analysis identifies new susceptibility loci for migraine

    DEFF Research Database (Denmark)

    Anttila, Verneri; Winsvold, Bendik S; Gormley, Padhraig

    2013-01-01

    Migraine is the most common brain disorder, affecting approximately 14% of the adult population, but its molecular mechanisms are poorly understood. We report the results of a meta-analysis across 29 genome-wide association studies, including a total of 23,285 individuals with migraine (cases) an...

  16. Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma.

    NARCIS (Netherlands)

    Chambers, J.C.; Zhang, W.; Sehmi, J.; Li, X.; Wass, M.N.; Harst, P. van der; Holm, H.; Sanna, S.; Kavousi, M.; Baumeister, S.E.; Coin, L.J.; Deng, G.; Gieger, C.; Heard-Costa, N.L.; Hottenga, J.J.; Kuhnel, B.; Kumar, V.; Lagou, V.; Liang, L.; Luan, J.; Vidal, P.M.; Mateo Leach, I.; O'Reilly, P.F.; Peden, J.F.; Rahmioglu, N.; Soininen, P.; Speliotes, E.K.; Yuan, X.; Thorleifsson, G.; Alizadeh, B.Z.; Atwood, L.D.; Borecki, I.B.; Brown, M.J.; Charoen, P.; Cucca, F.; Das, D.; Geus, E.J. de; Dixon, A.L.; Doring, A.; Ehret, G.; Eyjolfsson, G.I.; Farrall, M.; Forouhi, N.G.; Friedrich, N.; Goessling, W.; Gudbjartsson, D.F.; Harris, T.B.; Hartikainen, A.L.; Heath, S.; Hirschfield, G.M.; Hofman, A.; Homuth, G.; Hypponen, E.; Janssen, H.L.; Johnson, T.; Kangas, A.J.; Kema, I.P.; Kuhn, J.P.; Lai, S.; Lathrop, M.; Lerch, M.M.; Li, Y.; Liang, T.J.; Lin, J.P.; Loos, R.J.; Martin, N.G.; Moffatt, M.F.; Montgomery, G.W.; Munroe, P.B.; Musunuru, K.; Nakamura, Y.; O'Donnell, C.J.; Olafsson, I.; Penninx, B.W.J.H.; Pouta, A.; Prins, B.P.; Prokopenko, I.; Puls, R.; Ruokonen, A.; Savolainen, M.J.; Schlessinger, D.; Schouten, J.N.; Seedorf, U.; Sen-Chowdhry, S.; Siminovitch, K.A.; Smit, J.H.; Spector, T.D.; Tan, W.; Teslovich, T.M.; Tukiainen, T.; Uitterlinden, A.G.; Klauw, M.M. Van der; Vasan, R.S.; Wallace, C.; Wallaschofski, H.; Wichmann, H.E.; Willemsen, G.; Wurtz, P.; Xu, C.; Yerges-Armstrong, L.M.; Abecasis, G.R.; Ahmadi, K.R.; Boomsma, D.I.; Caulfield, M.; Cookson, W.O.; Duijn, C.M. van; Froguel, P.; Matsuda, K.; McCarthy, M.I.; Meisinger, C.; Mooser, V.; Pietilainen, K.H.; Schumann, G.; Snieder, H.; Sternberg, M.J.; Stolk, R.P.; Thomas, H.C.; Thorsteinsdottir, U.; Uda, M.; Waeber, G.; Wareham, N.J.; Waterworth, D.M.; Watkins, H.; Whitfield, J.B.; Witteman, J.C.; Wolffenbuttel, B.H.R.; Fox, C.S.; Ala-Korpela, M.; Stefansson, K.; Vollenweider, P.; Volzke, H.; Schadt, E.E.; Scott, J.; Jarvelin, M.R.; Elliott, P.; Kooner, J.S.; Heijer, M. den; et al.,

    2011-01-01

    Concentrations of liver enzymes in plasma are widely used as indicators of liver disease. We carried out a genome-wide association study in 61,089 individuals, identifying 42 loci associated with concentrations of liver enzymes in plasma, of which 32 are new associations (P = 10(-8) to P =

  17. Genome-wide meta-analysis identifies new susceptibility loci for migraine

    NARCIS (Netherlands)

    Anttila, Verneri; Winsvold, Bendik S.; Gormley, Padhraig; Kurth, Tobias; Bettella, Francesco; McMahon, George; Kallela, Mikko; Malik, Rainer; de Vries, Boukje; Terwindt, Gisela; Medland, Sarah E.; Todt, Unda; McArdle, Wendy L.; Quaye, Lydia; Koiranen, Markku; Ikram, M. Arfan; Lehtimaki, Terho; Stam, Anine H.; Ligthart, Lannie; Wedenoja, Juho; Dunham, Ian; Neale, Benjamin M.; Palta, Priit; Hamalainen, Eija; Schuerks, Markus; Rose, Lynda M.; Buring, Julie E.; Ridker, Paul M.; Steinberg, Stacy; Stefansson, Hreinn; Jakobsson, Finnbogi; Lawlor, Debbie A.; Evans, David M.; Ring, Susan M.; Farkkila, Markus; Artto, Ville; Kaunisto, Mari A.; Freilinger, Tobias; Schoenen, Jean; Frants, Rune R.; Pelzer, Nadine; Weller, Claudia M.; Zielman, Ronald; Heath, Andrew C.; Madden, Pamela A. F.; Montgomery, Grant W.; Martin, Nicholas G.; Borck, Guntram; Goebel, Hartmut; Heinze, Axel; Heinze-Kuhn, Katja; Williams, Frances M. K.; Hartikainen, Anna-Liisa; Pouta, Anneli; van den Ende, Joyce; Uitterlinden, Andre G.; Hofman, Albert; Amin, Najaf; Hottenga, Jouke-Jan; Vink, Jacqueline M.; Heikkila, Kauko; Alexander, Michael; Muller-Myhsok, Bertram; Schreiber, Stefan; Meitinger, Thomas; Wichmann, Heinz Erich; Aromaa, Arpo; Eriksson, Johan G.; Traynor, Bryan J.; Trabzuni, Daniah; Rossin, Elizabeth; Lage, Kasper; Jacobs, Suzanne B. R.; Gibbs, J. Raphael; Birney, Ewan; Kaprio, Jaakko; Penninx, Brenda W.; Boomsma, Dorret I.; van Duijn, Cornelia; Raitakari, Olli; Jarvelin, Marjo-Riitta; Zwart, John-Anker; Cherkas, Lynn; Strachan, David P.; Kubisch, Christian; Ferrari, Michel D.; van den Maagdenberg, Arn M. J. M.; Dichgans, Martin; Wessman, Maija; Smith, George Davey; Stefansson, Kari; Daly, Mark J.; Nyholt, Dale R.; Chasman, Daniel I.; Palotie, Aarno

    Migraine is the most common brain disorder, affecting approximately 14% of the adult population, but its molecular mechanisms are poorly understood. We report the results of a meta-analysis across 29 genome-wide association studies, including a total of 23,285 individuals with migraine (cases) and

  18. Genome-wide nucleosome map and cytosine methylation levels of an ancient human genome

    DEFF Research Database (Denmark)

    Pedersen, Jakob Skou; Valen, Eivind; Velazquez, Amhed M Vargas

    2014-01-01

    Epigenetic information is available from contemporary organisms, but is difficult to track back in evolutionary time. Here, we show that genome-wide epigenetic information can be gathered directly from next-generation sequence reads of DNA isolated from ancient remains. Using the genome sequence ...

  19. Genome-wide gene expression changes in an industrial clavulanic acid overproduction strain of Streptomyces clavuligerus.

    NARCIS (Netherlands)

    Medema, M.H.; Alam, M.T.; Heijne, W.H.; Berg, M.A.M.C. van den; Muller, U.; Trefzer, A.; Bovenberg, R.A.; Breitling, R.; Takano, E.

    2011-01-01

    To increase production of the important pharmaceutical compound clavulanic acid, a beta-lactamase inhibitor, both random mutagenesis approaches and rational engineering of Streptomyces clavuligerus strains have been extensively applied. Here, for the first time, we compared genome-wide gene expressi

  20. Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure

    NARCIS (Netherlands)

    Wain, Louise V; Verwoert, Germaine C; O'Reilly, Paul F; Shi, Gang; Johnson, Toby; Johnson, Andrew D; Bochud, Murielle; Rice, Kenneth M; Henneman, Peter; Smith, Albert V; Ehret, Georg B; Amin, Najaf; Larson, Martin G; Mooser, Vincent; Hadley, David; Dörr, Marcus; Bis, Joshua C; Aspelund, Thor; Esko, Tõnu; Janssens, A Cecile J W; Zhao, Jing Hua; Heath, Simon; Laan, Maris; Fu, Jingyuan; Pistis, Giorgio; Luan, Jian'an; Arora, Pankaj; Lucas, Gavin; Pirastu, Nicola; Pichler, Irene; Jackson, Anne U; Webster, Rebecca J; Zhang, Feng; Peden, John F; Schmidt, Helena; Tanaka, Toshiko; Campbell, Harry; Igl, Wilmar; Milaneschi, Yuri; Hottenga, Jouke-Jan; Vitart, Veronique; Chasman, Daniel I; Trompet, Stella; Bragg-Gresham, Jennifer L; Alizadeh, Behrooz Z; Chambers, John C; Guo, Xiuqing; Lehtimäki, Terho; Kühnel, Brigitte; Lopez, Lorna M; Polašek, Ozren; Boban, Mladen; Nelson, Christopher P; Morrison, Alanna C; Pihur, Vasyl; Ganesh, Santhi K; Hofman, Albert; Kundu, Suman; Mattace-Raso, Francesco U S; Rivadeneira, Fernando; Sijbrands, Eric J G; Uitterlinden, Andre G; Hwang, Shih-Jen; Vasan, Ramachandran S; Wang, Thomas J; Bergmann, Sven; Vollenweider, Peter; Waeber, Gérard; Laitinen, Jaana; Pouta, Anneli; Zitting, Paavo; McArdle, Wendy L; Kroemer, Heyo K; Völker, Uwe; Völzke, Henry; Glazer, Nicole L; Taylor, Kent D; Harris, Tamara B; Alavere, Helene; Haller, Toomas; Keis, Aime; Tammesoo, Mari-Liis; Aulchenko, Yurii; Barroso, Inês; Khaw, Kay-Tee; Galan, Pilar; Hercberg, Serge; Lathrop, Mark; Eyheramendy, Susana; Org, Elin; Sõber, Siim; Lu, Xiaowen; Nolte, Ilja M; Penninx, Brenda W; Corre, Tanguy; Masciullo, Corrado; Sala, Cinzia; Groop, Leif; Voight, Benjamin F; Melander, Olle; O'Donnell, Christopher J; Salomaa, Veikko; d'Adamo, Adamo Pio; Fabretto, Antonella; Faletra, Flavio; Ulivi, Sheila; Del Greco, Fabiola M; Facheris, Maurizio; Collins, Francis S; Bergman, Richard N; Beilby, John P; Hung, Joseph; Musk, A William; Mangino, Massimo; Shin, So-Youn; Soranzo, Nicole; Watkins, Hugh; Goel, Anuj; Hamsten, Anders; Gider, Pierre; Loitfelder, Marisa; Zeginigg, Marion; Hernandez, Dena; Najjar, Samer S; Navarro, Pau; Wild, Sarah H; Corsi, Anna Maria; Singleton, Andrew; de Geus, Eco J C; Willemsen, Gonneke; Parker, Alex N; Rose, Lynda M; Buckley, Brendan; Stott, David; Orru, Marco; Uda, Manuela; van der Klauw, Melanie M; Zhang, Weihua; Li, Xinzhong; Scott, James; Chen, Yii-Der Ida; Burke, Gregory L; Kähönen, Mika; Viikari, Jorma; Döring, Angela; Meitinger, Thomas; Davies, Gail; Starr, John M; Emilsson, Valur; Plump, Andrew; Lindeman, Jan H; Hoen, Peter A C 't; König, Inke R; Felix, Janine F; Clarke, Robert; Hopewell, Jemma C; Ongen, Halit; Breteler, Monique; Debette, Stéphanie; Destefano, Anita L; Fornage, Myriam; Mitchell, Gary F; Smith, Nicholas L; Holm, Hilma; Stefansson, Kari; Thorleifsson, Gudmar; Thorsteinsdottir, Unnur; Samani, Nilesh J; Preuss, Michael; Rudan, Igor; Hayward, Caroline; Deary, Ian J; Wichmann, H-Erich; Raitakari, Olli T; Palmas, Walter; Kooner, Jaspal S; Stolk, Ronald P; Jukema, J Wouter; Wright, Alan F; Boomsma, Dorret I; Bandinelli, Stefania; Gyllensten, Ulf B; Wilson, James F; Ferrucci, Luigi; Schmidt, Reinhold; Farrall, Martin; Spector, Tim D; Palmer, Lyle J; Tuomilehto, Jaakko; Pfeufer, Arne; Gasparini, Paolo; Siscovick, David; Altshuler, David; Loos, Ruth J F; Toniolo, Daniela; Snieder, Harold; Gieger, Christian; Meneton, Pierre; Wareham, Nicholas J; Oostra, Ben A; Metspalu, Andres; Launer, Lenore; Rettig, Rainer; Strachan, David P; Beckmann, Jacques S; Witteman, Jacqueline C M; Erdmann, Jeanette; van Dijk, Ko Willems; Boerwinkle, Eric; Boehnke, Michael; Ridker, Paul M; Jarvelin, Marjo-Riitta; Chakravarti, Aravinda; Abecasis, Goncalo R; Gudnason, Vilmundur; Newton-Cheh, Christopher; Levy, Daniel; Munroe, Patricia B; Psaty, Bruce M; Caulfield, Mark J; Rao, Dabeeru C; Tobin, Martin D; Elliott, Paul; van Duijn, Cornelia M

    2011-01-01

    Numerous genetic loci have been associated with systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Europeans. We now report genome-wide association studies of pulse pressure (PP) and mean arterial pressure (MAP). In discovery (N = 74,064) and follow-up studies (N = 48,607), we ident

  1. Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure

    NARCIS (Netherlands)

    Wain, Louise V.; Verwoert, Germaine C.; O'Reilly, Paul F.; Shi, Gang; Johnson, Toby; Johnson, Andrew D.; Bochud, Murielle; Rice, Kenneth M.; Henneman, Peter; Smith, Albert V.; Ehret, Georg B.; Amin, Najaf; Larson, Martin G.; Mooser, Vincent; Hadley, David; Doerr, Marcus; Bis, Joshua C.; Aspelund, Thor; Esko, Tonu; Janssens, A. Cecile J. W.; Zhao, Jing Hua; Heath, Simon; Laan, Maris; Fu, Jingyuan; Pistis, Giorgio; Luan, Jian'an; Arora, Pankaj; Lucas, Gavin; Pirastu, Nicola; Pichler, Irene; Jackson, Anne U.; Webster, Rebecca J.; Zhang, Feng; Peden, John F.; Schmidt, Helena; Tanaka, Toshiko; Campbell, Harry; Igl, Wilmar; Milaneschi, Yuri; Hottenga, Jouke-Jan; Vitart, Veronique; Chasman, Daniel I.; Trompet, Stella; Bragg-Gresham, Jennifer L.; Alizadeh, Behrooz Z.; Chambers, John C.; Guo, Xiuqing; Lehtimaki, Terho; Kuehnel, Brigitte; Lopez, Lorna M.; Polasek, Ozren; Boban, Mladen; Nelson, Christopher P.; Morrison, Alanna C.; Pihur, Vasyl; Ganesh, Santhi K.; Hofman, Albert; Kundu, Suman; Mattace-Raso, Francesco U. S.; Rivadeneira, Fernando; Sijbrands, Eric J. G.; Uitterlinden, Andre G.; Hwang, Shih-Jen; Vasan, Ramachandran S.; Wang, Thomas J.; Bergmann, Sven; Vollenweider, Peter; Waeber, Gerard; Laitinen, Jaana; Pouta, Anneli; Zitting, Paavo; McArdle, Wendy L.; Kroemer, Heyo K.; Voelker, Uwe; Voelzke, Henry; Glazer, Nicole L.; Taylor, Kent D.; Harris, Tamara B.; Alavere, Helene; Haller, Toomas; Keis, Aime; Tammesoo, Mari-Liis; Aulchenko, Yurii; Barroso, Ines; Khaw, Kay-Tee; Galan, Pilar; Hercberg, Serge; Lathrop, Mark; Eyheramendy, Susana; Org, Elin; Sober, Siim; Lu, Xiaowen; Nolte, Ilja M.; Penninx, Brenda W.; Corre, Tanguy; Masciullo, Corrado; Sala, Cinzia; Groop, Leif; Voight, Benjamin F.; Melander, Olle; O'Donnell, Christopher J.; Salomaa, Veikko; d'Adamo, Adamo Pio; Fabretto, Antonella; Faletra, Flavio; Ulivi, Sheila; Del Greco, Fabiola M.; Facheris, Maurizio; Collins, Francis S.; Bergman, Richard N.; Beilby, John P.; Hung, Joseph; Musk, A. William; Mangino, Massimo; Shin, So-Youn; Soranzo, Nicole; Watkins, Hugh; Goel, Anuj; Hamsten, Anders; Gider, Pierre; Loitfelder, Marisa; Zeginigg, Marion; Hernandez, Dena; Najjar, Samer S.; Navarro, Pau; Wild, Sarah H.; Corsi, Anna Maria; Singleton, Andrew; de Geus, Eco J. C.; Willemsen, Gonneke; Parker, Alex N.; Rose, Lynda M.; Buckley, Brendan; Stott, David; Orru, Marco; Uda, Manuela; van der Klauw, Melanie M.; Zhang, Weihua; Li, Xinzhong; Scott, James; Chen, Yii-Der Ida; Burke, Gregory L.; Kahonen, Mika; Viikari, Jorma; Doering, Angela; Meitinger, Thomas; Davies, Gail; Starr, John M.; Emilsson, Valur; Plump, Andrew; Lindeman, Jan H.; 't Hoen, Peter A. C.; Koenig, Inke R.; Felix, Janine F.; Clarke, Robert; Hopewell, Jemma C.; Ongen, Halit; Breteler, Monique; Debette, Stephanie; DeStefano, Anita L.; Fornage, Myriam; Mitchell, Gary F.; Smith, Nicholas L.; Holm, Hilma; Stefansson, Kari; Thorleifsson, Gudmar; Thorsteinsdottir, Unnur; Samani, Nilesh J.; Preuss, Michael; Rudan, Igor; Hayward, Caroline; Deary, Ian J.; Wichmann, H-Erich; Raitakari, Olli T.; Palmas, Walter; Kooner, Jaspal S.; Stolk, Ronald P.; Jukema, J. Wouter; Wright, Alan F.; Boomsma, Dorret I.; Bandinelli, Stefania; Gyllensten, Ulf B.; Wilson, James F.; Ferrucci, Luigi; Schmidt, Reinhold; Farrall, Martin; Spector, Tim D.; Palmer, Lyle J.; Tuomilehto, Jaakko; Pfeufer, Arne; Gasparini, Paolo; Siscovick, David; Altshuler, David; Loos, Ruth J. F.; Toniolo, Daniela; Snieder, Harold; Gieger, Christian; Meneton, Pierre; Wareham, Nicholas J.; Oostra, Ben A.; Metspalu, Andres; Launer, Lenore; Rettig, Rainer; Strachan, David P.; Beckmann, Jacques S.; Witteman, Jacqueline C. M.; Erdmann, Jeanette; van Dijk, Ko Willems; Boerwinkle, Eric; Boehnke, Michael; Ridker, Paul M.; Jarvelin, Marjo-Riitta; Chakravarti, Aravinda; Abecasis, Goncalo R.; Gudnason, Vilmundur; Newton-Cheh, Christopher; Levy, Daniel; Munroe, Patricia B.; Psaty, Bruce M.; Caulfield, Mark J.; Rao, Dabeeru C.; Tobin, Martin D.; Elliott, Paul; van Duijn, Cornelia M.

    2011-01-01

    Numerous genetic loci have been associated with systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Europeans(1-3). We now report genome-wide association studies of pulse pressure (PP) and mean arterial pressure (MAP). In discovery (N = 74,064) and follow-up studies (N = 48,607), we

  2. Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure

    NARCIS (Netherlands)

    L.V. Wain (Louise); G.C. Verwoert (Germaine); P.F. O'Reilly (Paul); G. Shi (Gang); T. Johnson (Toby); M. Bochud (Murielle); K. Rice (Kenneth); P. Henneman (Peter); A.V. Smith (Albert Vernon); G.B. Ehret (Georg); N. Amin (Najaf); M.G. Larson (Martin); V. Mooser (Vincent); D. Hadley (David); M. Dörr (Marcus); J.C. Bis (Joshua); T. Aspelund (Thor); T. Esko (Tõnu); A.C.J.W. Janssens (Cécile); J.H. Zhao; S.C. Heath (Simon); M. Laan (Maris); J. Fu (Jingyuan); G. Pistis (Giorgio); J. Luan; G. Lucas (Gavin); N. Pirastu (Nicola); I. Pichler (Irene); A.U. Jackson (Anne); R.J. Webster (Rebecca J.); F.F. Zhang; J. Peden (John); R. Schmidt (Reinhold); T. Tanaka (Toshiko); H. Campbell (Harry); W. Igl (Wilmar); Y. Milaneschi (Yuri); J.J. Hottenga (Jouke Jan); V. Vitart (Veronique); D.I. Chasman (Daniel); S. Trompet (Stella); J.L. Bragg-Gresham (Jennifer L.); B.Z. Alizadeh (Behrooz); J.C. Chambers (John); X. Guo (Xiuqing); T. Lehtimäki (Terho); B. Kuhnel (Brigitte); L.M. Lopez; O. Polasek (Ozren); M. Boban (Mladen); C.P. Nelson (Christopher P.); A.C. Morrison (Alanna); V. Pihur (Vasyl); S.K. Ganesh (Santhi); A. Hofman (Albert); S. Kundu (Suman); F.U.S. Mattace Raso (Francesco); F. Rivadeneira Ramirez (Fernando); E.J.G. Sijbrands (Eric); A.G. Uitterlinden (André); S.J. Hwang; R.S. Vasan (Ramachandran Srini); Y.A. Wang (Ying); S.M. Bergmann (Sven); P. Vollenweider (Peter); G. Waeber (Gérard); J. Laitinen (Jaana); A. Pouta (Anneli); P. Zitting (Paavo); W.L. McArdle (Wendy); H.K. Kroemer (Heyo); U. Völker (Uwe); H. Völzke (Henry); N.L. Glazer (Nicole); K.D. Taylor (Kent); T.B. Harris (Tamara); H. Alavere (Helene); T. Haller (Toomas); A. Keis (Aime); M.L. Tammesoo; Y.S. Aulchenko (Yurii); K-T. Khaw (Kay-Tee); P. Galan (Pilar); S. Hercberg (Serge); G.M. Lathrop (Mark); S. Eyheramendy (Susana); E. Org (Elin); S. Sõber (Siim); X. Lu (Xiaowen); I.M. Nolte (Ilja); B.W.J.H. Penninx (Brenda); T. Corre (Tanguy); C. Masciullo (Corrado); C. Sala (Cinzia); L. Groop (Leif); B.F. Voight (Benjamin); O. Melander (Olle); C.J. O'Donnell (Christopher); V. Salomaa (Veikko); P. d' Adamo (Pio); A. Fabretto (Antonella); F. Faletra (Flavio); S. Ulivi (Shelia); F. Del Greco M (Fabiola); M.F. Facheris (Maurizio); F.S. Collins (Francis); R.N. Bergman (Richard); J.P. Beilby (John); J. Hung (Judy); A.W. Musk (Arthur); M. Mangino (Massimo); S.Y. Shin (So Youn); N. Soranzo (Nicole); H. Watkins (Hugh); A. Goel (Anuj); A. Hamsten (Anders); P. Gider (Pierre); M. Loitfelder (Marisa); M. Zeginigg (Marion); D.G. Hernandez (Dena); S.S. Najjar (Samer); P. Navarro (Pau); S.H. Wild (Sarah); A.M. Corsi (Anna Maria); A. Singleton (Andrew); E.J.C. de Geus (Eco); G.A.H.M. Willemsen (Gonneke); A.N. Parker (Alex); L.M. Rose (Lynda); B.M. Buckley (Brendan M.); D.J. Stott (David. J.); M. Orrù (Marco); M. Uda (Manuela); M.M. van der Klauw (Melanie); X. Li (Xiaohui); J. Scott (James); Y.D.I. Chen (Yii-Der Ida); G.L. Burke (Greg); M. Kähönen (Mika); J. Viikari (Jorma); A. Döring (Angela); T. Meitinger (Thomas); G.S. Davis; J.M. Starr (John); V. Emilsson (Valur); A.S. Plump (Andrew); J.H. Lindeman (Jan H.); P.A.C. 't Hoen (Peter); I.R. König (Inke); J.F. Felix (Janine); R. Clarke; J. Hopewell; H. Ongen (Halit); M.M.B. Breteler (Monique); S. Debette (Stéphanie); A.L. DeStefano (Anita); M. Fornage (Myriam); G.F. Mitchell (Gary); H. Holm (Hilma); K. Stefansson (Kari); G. Thorleifsson (Gudmar); U. Thorsteinsdottir (Unnur); N.J. Samani (Nilesh); M. Preuss (Michael); I. Rudan (Igor); C. Hayward (Caroline); I.J. Deary (Ian); H.E. Wichmann (Heinz Erich); O. Raitakari (Olli); W. Palmas (Walter); J.S. Kooner (Jaspal); R.P. Stolk (Ronald); J.W. Jukema (Jan Wouter); A.F. Wright (Alan); D.I. Boomsma (Dorret); S. Bandinelli (Stefania); U. Gyllensten (Ulf); J.F. Wilson (James); L. Ferrucci (Luigi); M. Farrall (Martin); T.D. Spector (Timothy); L.J. Palmer; J. Tuomilehto (Jaakko); A. Pfeufer (Arne); P. Gasparini (Paolo); D.S. Siscovick (David); D. Altshuler (David); R.J.F. Loos (Ruth); D. Toniolo (Daniela); H. Snieder (Harold); C. Gieger (Christian); P. Meneton (Pierre); N.J. Wareham (Nick); B.A. Oostra (Ben); A. Metspalu (Andres); L.J. Launer (Lenore); R. Rettig (Rainer); D.P. Strachan (David); J.S. Beckmann (Jacques); J.C.M. Witteman (Jacqueline); J.A.P. Willems van Dijk (Ko); E.A. Boerwinkle (Eric); M. Boehnke (Michael); P.M. Ridker (Paul); M.R. Järvelin; A. Chakravarti (Aravinda); J. Erdmann (Jeanette); V. Gudnason (Vilmundur); C. Newton-Cheh (Christopher); D. Levy (Daniel); P. Arora (Pankaj); P. Munroe (Patricia); B.M. Psaty (Bruce); M. Caulfield (Mark); D.C. Rao (Dabeeru C.); P. Elliott (Paul); P. Tikka-Kleemola (Päivi); G.R. Abecasis (Gonçalo); I. Barroso (Inês)

    2011-01-01

    textabstractNumerous genetic loci have been associated with systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Europeans. We now report genome-wide association studies of pulse pressure (PP) and mean arterial pressure (MAP). In discovery (N = 74,064) and follow-up studies (N = 48,60

  3. Nine Loci for Ocular Axial Length Identified through Genome-wide Association Studies, Including Shared Loci with Refractive Error

    Science.gov (United States)

    Cheng, Ching-Yu; Schache, Maria; Ikram, M. Kamran; Young, Terri L.; Guggenheim, Jeremy A.; Vitart, Veronique; MacGregor, Stuart; Verhoeven, Virginie J.M.; Barathi, Veluchamy A.; Liao, Jiemin; Hysi, Pirro G.; Bailey-Wilson, Joan E.; St. Pourcain, Beate; Kemp, John P.; McMahon, George; Timpson, Nicholas J.; Evans, David M.; Montgomery, Grant W.; Mishra, Aniket; Wang, Ya Xing; Wang, Jie Jin; Rochtchina, Elena; Polasek, Ozren; Wright, Alan F.; Amin, Najaf; van Leeuwen, Elisabeth M.; Wilson, James F.; Pennell, Craig E.; van Duijn, Cornelia M.; de Jong, Paulus T.V.M.; Vingerling, Johannes R.; Zhou, Xin; Chen, Peng; Li, Ruoying; Tay, Wan-Ting; Zheng, Yingfeng; Chew, Merwyn; Rahi, Jugnoo S.; Hysi, Pirro G.; Yoshimura, Nagahisa; Yamashiro, Kenji; Miyake, Masahiro; Delcourt, Cécile; Maubaret, Cecilia; Williams, Cathy; Guggenheim, Jeremy A.; Northstone, Kate; Ring, Susan M.; Davey-Smith, George; Craig, Jamie E.; Burdon, Kathryn P.; Fogarty, Rhys D.; Iyengar, Sudha K.; Igo, Robert P.; Chew, Emily; Janmahasathian, Sarayut; Iyengar, Sudha K.; Igo, Robert P.; Chew, Emily; Janmahasathian, Sarayut; Stambolian, Dwight; Wilson, Joan E. Bailey; MacGregor, Stuart; Lu, Yi; Jonas, Jost B.; Xu, Liang; Saw, Seang-Mei; Baird, Paul N.; Rochtchina, Elena; Mitchell, Paul; Wang, Jie Jin; Jonas, Jost B.; Nangia, Vinay; Hayward, Caroline; Wright, Alan F.; Vitart, Veronique; Polasek, Ozren; Campbell, Harry; Vitart, Veronique; Rudan, Igor; Vatavuk, Zoran; Vitart, Veronique; Paterson, Andrew D.; Hosseini, S. Mohsen; Iyengar, Sudha K.; Igo, Robert P.; Fondran, Jeremy R.; Young, Terri L.; Feng, Sheng; Verhoeven, Virginie J.M.; Klaver, Caroline C.; van Duijn, Cornelia M.; Metspalu, Andres; Haller, Toomas; Mihailov, Evelin; Pärssinen, Olavi; Wedenoja, Juho; Wilson, Joan E. Bailey; Wojciechowski, Robert; Baird, Paul N.; Schache, Maria; Pfeiffer, Norbert; Höhn, René; Pang, Chi Pui; Chen, Peng; Meitinger, Thomas; Oexle, Konrad; Wegner, Aharon; Yoshimura, Nagahisa; Yamashiro, Kenji; Miyake, Masahiro; Pärssinen, Olavi; Yip, Shea Ping; Ho, Daniel W.H.; Pirastu, Mario; Murgia, Federico; Portas, Laura; Biino, Genevra; Wilson, James F.; Fleck, Brian; Vitart, Veronique; Stambolian, Dwight; Wilson, Joan E. Bailey; Hewitt, Alex W.; Ang, Wei; Verhoeven, Virginie J.M.; Klaver, Caroline C.; van Duijn, Cornelia M.; Saw, Seang-Mei; Wong, Tien-Yin; Teo, Yik-Ying; Fan, Qiao; Cheng, Ching-Yu; Zhou, Xin; Ikram, M. Kamran; Saw, Seang-Mei; Teo, Yik-Ying; Fan, Qiao; Cheng, Ching-Yu; Zhou, Xin; Ikram, M. Kamran; Saw, Seang-Mei; Wong, Tien-Yin; Teo, Yik-Ying; Fan, Qiao; Cheng, Ching-Yu; Zhou, Xin; Ikram, M. Kamran; Saw, Seang-Mei; Wong, Tien-Yin; Teo, Yik-Ying; Fan, Qiao; Cheng, Ching-Yu; Zhou, Xin; Ikram, M. Kamran; Saw, Seang-Mei; Tai, E-Shyong; Teo, Yik-Ying; Fan, Qiao; Cheng, Ching-Yu; Zhou, Xin; Ikram, M. Kamran; Saw, Seang-Mei; Teo, Yik-Ying; Fan, Qiao; Cheng, Ching-Yu; Zhou, Xin; Ikram, M. Kamran; Mackey, David A.; MacGregor, Stuart; Hammond, Christopher J.; Hysi, Pirro G.; Deangelis, Margaret M.; Morrison, Margaux; Zhou, Xiangtian; Chen, Wei; Paterson, Andrew D.; Hosseini, S. Mohsen; Mizuki, Nobuhisa; Meguro, Akira; Lehtimäki, Terho; Mäkelä, Kari-Matti; Raitakari, Olli; Kähönen, Mika; Burdon, Kathryn P.; Craig, Jamie E.; Iyengar, Sudha K.; Igo, Robert P.; Lass, Jonathan H.; Reinhart, William; Belin, Michael W.; Schultze, Robert L.; Morason, Todd; Sugar, Alan; Mian, Shahzad; Soong,