WorldWideScience

Sample records for gene snp rs2414096

  1. SNP genotyping by DNA photoligation: application to SNP detection of genes from food crops

    Directory of Open Access Journals (Sweden)

    Yoshinaga Yoshimura, Tomoko Ohtake, Hajime Okada, Takehiro Ami, Tadashi Tsukaguchi and Kenzo Fujimoto

    2009-01-01

    Full Text Available We describe a simple and inexpensive single-nucleotide polymorphism (SNP typing method, using DNA photoligation with 5-carboxyvinyl-2'-deoxyuridine and two fluorophores. This SNP-typing method facilitates qualitative determination of genes from indica and japonica rice, and showed a high degree of single nucleotide specificity up to 10 000. This method can be used in the SNP typing of actual genomic DNA samples from food crops.

  2. SNP genotyping by DNA photoligation: application to SNP detection of genes from food crops

    Energy Technology Data Exchange (ETDEWEB)

    Yoshimura, Yoshinaga; Ohtake, Tomoko; Okada, Hajime; Fujimoto, Kenzo [School of Materials Science, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa 923-1292 (Japan); Ami, Takehiro [Innovation Plaza Ishikawa, Japan Science and Technology Agency, 2-13 Asahidai, Nomi, Ishikawa 923-1211 (Japan); Tsukaguchi, Tadashi, E-mail: kenzo@jaist.ac.j [Faculty of Bioresources and Environmental Sciences, Ishikawa Prefectural University, 1-308 Suematsu, Nonoichi, Ishikawa 921-8836 (Japan)

    2009-06-15

    We describe a simple and inexpensive single-nucleotide polymorphism (SNP) typing method, using DNA photoligation with 5-carboxyvinyl-2'-deoxyuridine and two fluorophores. This SNP-typing method facilitates qualitative determination of genes from indica and japonica rice, and showed a high degree of single nucleotide specificity up to 10 000. This method can be used in the SNP typing of actual genomic DNA samples from food crops.

  3. SNP-SNP interaction network in angiogenesis genes associated with prostate cancer aggressiveness.

    Directory of Open Access Journals (Sweden)

    Hui-Yi Lin

    Full Text Available Angiogenesis has been shown to be associated with prostate cancer development. The majority of prostate cancer studies focused on individual single nucleotide polymorphisms (SNPs while SNP-SNP interactions are suggested having a great impact on unveiling the underlying mechanism of complex disease. Using 1,151 prostate cancer patients in the Cancer Genetic Markers of Susceptibility (CGEMS dataset, 2,651 SNPs in the angiogenesis genes associated with prostate cancer aggressiveness were evaluated. SNP-SNP interactions were primarily assessed using the two-stage Random Forests plus Multivariate Adaptive Regression Splines (TRM approach in the CGEMS group, and were then re-evaluated in the Moffitt group with 1,040 patients. For the identified gene pairs, cross-evaluation was applied to evaluate SNP interactions in both study groups. Five SNP-SNP interactions in three gene pairs (MMP16+ ROBO1, MMP16+ CSF1, and MMP16+ EGFR were identified to be associated with aggressive prostate cancer in both groups. Three pairs of SNPs (rs1477908+ rs1387665, rs1467251+ rs7625555, and rs1824717+ rs7625555 were in MMP16 and ROBO1, one pair (rs2176771+ rs333970 in MMP16 and CSF1, and one pair (rs1401862+ rs6964705 in MMP16 and EGFR. The results suggest that MMP16 may play an important role in prostate cancer aggressiveness. By integrating our novel findings and available biomedical literature, a hypothetical gene interaction network was proposed. This network demonstrates that our identified SNP-SNP interactions are biologically relevant and shows that EGFR may be the hub for the interactions. The findings provide valuable information to identify genotype combinations at risk of developing aggressive prostate cancer and improve understanding on the genetic etiology of angiogenesis associated with prostate cancer aggressiveness.

  4. Targeted SNP discovery in Atlantic salmon (Salmo salar genes using a 3'UTR-primed SNP detection approach

    Directory of Open Access Journals (Sweden)

    Høyheim Bjørn

    2010-12-01

    Full Text Available Abstract Background Single nucleotide polymorphisms (SNPs represent the most widespread type of DNA variation in vertebrates and may be used as genetic markers for a range of applications. This has led to an increased interest in identification of SNP markers in non-model species and farmed animals. The in silico SNP mining method used for discovery of most known SNPs in Atlantic salmon (Salmo salar has applied a global (genome-wide approach. In this study we present a targeted 3'UTR-primed SNP discovery strategy that utilizes sequence data from Salmo salar full length sequenced cDNAs (FLIcs. We compare the efficiency of this new strategy to the in silico SNP mining method when using both methods for targeted SNP discovery. Results The SNP discovery efficiency of the two methods was tested in a set of FLIc target genes. The 3'UTR-primed SNP discovery method detected novel SNPs in 35% of the target genes while the in silico SNP mining method detected novel SNPs in 15% of the target genes. Furthermore, the 3'UTR-primed SNP discovery strategy was the less labor intensive one and revealed a higher success rate than the in silico SNP mining method in the initial amplification step. When testing the methods we discovered 112 novel bi-allelic polymorphisms (type I markers in 88 salmon genes [dbSNP: ss179319972-179320081, ss250608647-250608648], and three of the SNPs discovered were missense substitutions. Conclusions Full length insert cDNAs (FLIcs are important genomic resources that have been developed in many farmed animals. The 3'UTR-primed SNP discovery strategy successfully utilized FLIc data to detect novel SNPs in the partially tetraploid Atlantic salmon. This strategy may therefore be useful for targeted SNP discovery in several species, and particularly useful in species that, like salmonids, have duplicated genomes.

  5. SNP marker discovery in koala TLR genes.

    Directory of Open Access Journals (Sweden)

    Jian Cui

    Full Text Available Toll-like receptors (TLRs play a crucial role in the early defence against invading pathogens, yet our understanding of TLRs in marsupial immunity is limited. Here, we describe the characterisation of nine TLRs from a koala immune tissue transcriptome and one TLR from a draft sequence of the koala genome and the subsequent development of an assay to study genetic diversity in these genes. We surveyed genetic diversity in 20 koalas from New South Wales, Australia and showed that one gene, TLR10 is monomorphic, while the other nine TLR genes have between two and 12 alleles. 40 SNPs (16 non-synonymous were identified across the ten TLR genes. These markers provide a springboard to future studies on innate immunity in the koala, a species under threat from two major infectious diseases.

  6. Association of Atherosclerotic Peripheral Arterial Disease with Adiponectin Genes SNP+45 and SNP+276: A Case-Control Study

    Directory of Open Access Journals (Sweden)

    Claudia D. Gherman

    2013-01-01

    Full Text Available Objectives. We hypothesized that adiponectin gene SNP+45 (rs2241766 and SNP+276 (rs1501299 would be associated with atherosclerotic peripheral arterial disease (PAD. Furthermore, the association between circulating adiponectin levels, fetuin-A, and tumoral necrosis factor-alpha (TNF-α in patients with atherosclerotic peripheral arterial disease was investigated. Method. Several blood parameters (such as adiponectin, fetuin-A, and TNF-α were measured in 346 patients, 226 with atherosclerotic peripheral arterial disease (PAD and 120 without symptomatic PAD (non-PAD. Two common SNPs of the ADIPOQ gene represented by +45T/G 2 and +276G/T were also investigated. Results. Adiponectin concentrations showed lower circulating levels in the PAD patients compared to non-PAD patients (P0.05. Conclusion. The results of our study demonstrated that neither adiponectin SNP+45 nor SNP+276 is associated with the risk of PAD.

  7. Gene-based SNP discovery and genetic mapping in pea.

    Science.gov (United States)

    Sindhu, Anoop; Ramsay, Larissa; Sanderson, Lacey-Anne; Stonehouse, Robert; Li, Rong; Condie, Janet; Shunmugam, Arun S K; Liu, Yong; Jha, Ambuj B; Diapari, Marwan; Burstin, Judith; Aubert, Gregoire; Tar'an, Bunyamin; Bett, Kirstin E; Warkentin, Thomas D; Sharpe, Andrew G

    2014-10-01

    Gene-based SNPs were identified and mapped in pea using five recombinant inbred line populations segregating for traits of agronomic importance. Pea (Pisum sativum L.) is one of the world's oldest domesticated crops and has been a model system in plant biology and genetics since the work of Gregor Mendel. Pea is the second most widely grown pulse crop in the world following common bean. The importance of pea as a food crop is growing due to its combination of moderate protein concentration, slowly digestible starch, high dietary fiber concentration, and its richness in micronutrients; however, pea has lagged behind other major crops in harnessing recent advances in molecular biology, genomics and bioinformatics, partly due to its large genome size with a large proportion of repetitive sequence, and to the relatively limited investment in research in this crop globally. The objective of this research was the development of a genome-wide transcriptome-based pea single-nucleotide polymorphism (SNP) marker platform using next-generation sequencing technology. A total of 1,536 polymorphic SNP loci selected from over 20,000 non-redundant SNPs identified using deep transcriptome sequencing of eight diverse Pisum accessions were used for genotyping in five RIL populations using an Illumina GoldenGate assay. The first high-density pea SNP map defining all seven linkage groups was generated by integrating with previously published anchor markers. Syntenic relationships of this map with the model legume Medicago truncatula and lentil (Lens culinaris Medik.) maps were established. The genic SNP map establishes a foundation for future molecular breeding efforts by enabling both the identification and tracking of introgression of genomic regions harbouring QTLs related to agronomic and seed quality traits.

  8. Amerindians show association to obesity with adiponectin gene SNP45 and SNP276: population genetics of a food intake control and "thrifty" gene.

    Science.gov (United States)

    Arnaiz-Villena, Antonio; Fernández-Honrado, Mercedes; Rey, Diego; Enríquez-de-Salamanca, Mercedes; Abd-El-Fatah-Khalil, Sedeka; Arribas, Ignacio; Coca, Carmen; Algora, Manuel; Areces, Cristina

    2013-02-01

    Adiponectin gene polymorphisms SNP45 and SNP276 have been related to metabolic syndrome (MS) and related pathologies, including obesity. However results of associations are contradictory depending on which population is studied. In the present study, these adiponectin SNPs are for the first time studied in Amerindians. Allele frequencies are obtained and comparison with obesity and other MS related parameters are performed. Amerindians were also defined by characteristic HLA genes. Our main results are: (1) SNP276 T is associated to low diastolic blood pressure in Amerindians, (2) SNP45 G allele is correlated with obesity in female but not in male Amerindians, (3) SNP45/SNP276 T/G haplotype in total obese/non-obese subjects tends to show a linkage with non-obese Amerindians, (4) SNP45/SNP276 T/T haplotype is linked to obese Amerindian males. Also, a world population study is carried out finding that SNP45 T and SNP276 T alleles are the most frequent in African Blacks and are found significantly in lower frequencies in Europeans and Asians. This together with the fact that there is a linkage of this haplotype to obese Amerindian males suggest that evolutionary forces related to famine (or population density in relation with available food) may have shaped world population adiponectin polymorphism frequencies.

  9. Molecular cloning and SNP association analysis of chicken PMCH gene.

    Science.gov (United States)

    Sun, Guirong; Li, Ming; Li, Hong; Tian, Yadong; Chen, Qixin; Bai, Yichun; Kang, Xiangtao

    2013-08-01

    The pre-melanin-concentrating hormone (PMCH) gene is an important gene functionally concerning the regulations of body fat content, feeding behavior and energy balance. In this study, the full-length cDNA of chicken PMCH gene was amplified by SMART RACE method. The single nucleotide polymorphisms (SNPs) in the PMCH gene were screened by comparative sequence analysis. The obtained non-synonymous coding SNPs (ncSNPs) were designed for genotyping firstly. Its effects on growth, carcass characteristics and meat quality traits were investigated employing the F2 resource population of Gushi chicken crossed with Anak broiler by AluI CRS-PCR-RFLP. Our results indicated that the cDNA of chicken PMCH shared 67.25 and 66.47% homology with that of human and bovine PMCH, respectively. The deduced amino acid sequence of chicken PMCH (163 amino acids) were 52.07 and 50.89% identical to those of human and bovine PMCH, respectively. The PMCH protein sequence is predicted to have several functional domains, including pro-MCH, CSP, IL7, XPGI and some low complexity sequence. It has 8 phosphorylation sites and no signal peptide sequence. gga-miR-18a, gga-miR-18b, gga-miR-499 microRNA targeting site was predicted in the 3' untranslated region of chicken PMCH mRNA. In addition, a total of seven SNPs including an ncSNP and a synonymous coding SNP, were identified in the PMCH gene. The ncSNP c.81 A>T was found to be in moderate polymorphic state (polymorphic index=0.365), and the frequencies for genotype AA, AB and BB were 0.3648, 0.4682 and 0.1670, respectively. Significant associations between the locus and shear force of breast and leg were observed. This polymorphic site may serve as a useful target for the marker assisted selection of the growth and meat quality traits in chicken.

  10. Identification of SNP-containing regulatory motifs in the myelodysplastic syndromes model using SNP arrays and gene expression arrays

    Institute of Scientific and Technical Information of China (English)

    Jing Fan; Jennifer G.Dy; Chung-Che Chang; Xiaobo Zhou

    2013-01-01

    Myelodysplastic syndromes have increased in frequency and incidence in the American population,but patient prognosis has not significantly improved over the last decade.Such improvements could be realized if biomarkers for accurate diagnosis and prognostic stratification were successfully identified.In this study,we propose a method that associates two state-of-the-art array technologies-single nucleotide polymorphism (SNP) array and gene expression array-with gene motifs considered transcription factor-binding sites (TFBS).We are particularly interested in SNP-containing motifs introduced by genetic variation and mutation as TFBS.The potential regulation of SNP-containing motifs affects only when certain mutations occur.These motifs can be identified from a group of co-expressed genes with copy number variation.Then,we used a sliding window to identify motif candidates near SNPs on gene sequences.The candidates were filtered by coarse thresholding and fine statistical testing.Using the regression-based LARS-EN algorithm and a level-wise sequence combination procedure,we identified 28 SNP-containing motifs as candidate TFBS.We confirmed 21 of the 28 motifs with ChIP-chip fragments in the TRANSFAC database.Another six motifs were validated by TRANSFAC via searching binding fragments on coregulated genes.The identified motifs and their location genes can be considered potential biomarkers for myelodysplastic syndromes.Thus,our proposed method,a novel strategy for associating two data categories,is capable of integrating information from different sources to identify reliable candidate regulatory SNP-containing motifs introduced by genetic variation and mutation.

  11. Assessing SNP-SNP interactions among DNA repair, modification and metabolism related pathway genes in breast cancer susceptibility.

    Directory of Open Access Journals (Sweden)

    Yadav Sapkota

    Full Text Available Genome-wide association studies (GWASs have identified low-penetrance common variants (i.e., single nucleotide polymorphisms, SNPs associated with breast cancer susceptibility. Although GWASs are primarily focused on single-locus effects, gene-gene interactions (i.e., epistasis are also assumed to contribute to the genetic risks for complex diseases including breast cancer. While it has been hypothesized that moderately ranked (P value based weak single-locus effects in GWASs could potentially harbor valuable information for evaluating epistasis, we lack systematic efforts to investigate SNPs showing consistent associations with weak statistical significance across independent discovery and replication stages. The objectives of this study were i to select SNPs showing single-locus effects with weak statistical significance for breast cancer in a GWAS and/or candidate-gene studies; ii to replicate these SNPs in an independent set of breast cancer cases and controls; and iii to explore their potential SNP-SNP interactions contributing to breast cancer susceptibility. A total of 17 SNPs related to DNA repair, modification and metabolism pathway genes were selected since these pathways offer a priori knowledge for potential epistatic interactions and an overall role in breast carcinogenesis. The study design included predominantly Caucasian women (2,795 cases and 4,505 controls from Alberta, Canada. We observed two two-way SNP-SNP interactions (APEX1-rs1130409 and RPAP1-rs2297381; MLH1-rs1799977 and MDM2-rs769412 in logistic regression that conferred elevated risks for breast cancer (P(interaction<7.3 × 10(-3. Logic regression identified an interaction involving four SNPs (MBD2-rs4041245, MLH1-rs1799977, MDM2-rs769412, BRCA2-rs1799943 (P(permutation = 2.4 × 10(-3. SNPs involved in SNP-SNP interactions also showed single-locus effects with weak statistical significance, while BRCA2-rs1799943 showed stronger statistical significance (P

  12. Tag SNP selection for candidate gene association studies using HapMap and gene resequencing data.

    Science.gov (United States)

    Xu, Zongli; Kaplan, Norman L; Taylor, Jack A

    2007-10-01

    HapMap provides linkage disequilibrium (LD) information on a sample of 3.7 million SNPs that can be used for tag SNP selection in whole-genome association studies. HapMap can also be used for tag SNP selection in candidate genes, although its performance has yet to be evaluated against gene resequencing data, where there is near-complete SNP ascertainment. The Environmental Genome Project (EGP) is the largest gene resequencing effort to date with over 500 resequenced genes. We used HapMap data to select tag SNPs and calculated the proportions of common SNPs (MAF>or=0.05) tagged (rho2>or=0.8) for each of 127 EGP Panel 2 genes where individual ethnic information was available. Median gene-tagging proportions are 50, 80 and 74% for African, Asian, and European groups, respectively. These low gene-tagging proportions may be problematic for some candidate gene studies. In addition, although HapMap targeted nonsynonymous SNPs (nsSNPs), we estimate only approximately 30% of nonsynonymous SNPs in EGP are in high LD with any HapMap SNP. We show that gene-tagging proportions can be improved by adding a relatively small number of tag SNPs that were selected based on resequencing data. We also demonstrate that ethnic-mixed data can be used to improve HapMap gene-tagging proportions, but are not as efficient as ethnic-specific data. Finally, we generalized the greedy algorithm proposed by Carlson et al (2004) to select tag SNPs for multiple populations and implemented the algorithm into a freely available software package mPopTag.

  13. Mapping and characterization of two relevance networks from SNP and gene levels

    Institute of Scientific and Technical Information of China (English)

    Wei Jiang; Lijie Zhang; Bo Na; Lihong Wang; Jiankai Xu; Xia Li; Yadong Wang; Shaoqi Rao

    2009-01-01

    Variations of gene expression and DNA sequence are genetically associated.The goal of this study was to build genetic networks to map from SNPs to gene expressions and to characterize the two different kinds of networks.We employed mutual information to evaluate the strength of SNP-SNP and gene-gene associations based on SNPs identity by descent (IBD) data and differences of gene expressions.We applied the approach to one dataset of Genetics of Gene Expression in Humans,and discovered that both the SNP relevance network and the gene relevance network approximated the scale-free topology.We also found that 12.09% of SNP-SNP interactions matched 24.49% of gene-gene interactions,which was consistent with that of the previous studies.Finally,we identified 49 hub SNPs and 115 hub genes in their relevance networks,in which 27 hub SNPs were associated with 25 hub genes.(C) 2009 National Natural Science Foundation of China and Chinese Academy of Sciences.Published by Elsevier Limited and Science in China Press.All rights reserved.

  14. A Customized Pigmentation SNP Array Identifies a Novel SNP Associated with Melanoma Predisposition in the SLC45A2 Gene

    Science.gov (United States)

    Alonso, Santos; Boyano, M. Dolores; Peña-Chilet, Maria; Pita, Guillermo; Aviles, Jose A.; Mayor, Matias; Gomez-Fernandez, Cristina; Casado, Beatriz; Martin-Gonzalez, Manuel; Izagirre, Neskuts; De la Rua, Concepcion; Asumendi, Aintzane; Perez-Yarza, Gorka; Arroyo-Berdugo, Yoana; Boldo, Enrique; Lozoya, Rafael; Torrijos-Aguilar, Arantxa; Pitarch, Ana; Pitarch, Gerard; Sanchez-Motilla, Jose M.; Valcuende-Cavero, Francisca; Tomas-Cabedo, Gloria; Perez-Pastor, Gemma; Diaz-Perez, Jose L.; Gardeazabal, Jesus; de Lizarduy, Iñigo Martinez; Sanchez-Diez, Ana; Valdes, Carlos; Pizarro, Angel; Casado, Mariano; Carretero, Gregorio; Botella-Estrada, Rafael; Nagore, Eduardo; Lazaro, Pablo; Lluch, Ana; Benitez, Javier; Martinez-Cadenas, Conrado; Ribas, Gloria

    2011-01-01

    As the incidence of Malignant Melanoma (MM) reflects an interaction between skin colour and UV exposure, variations in genes implicated in pigmentation and tanning response to UV may be associated with susceptibility to MM. In this study, 363 SNPs in 65 gene regions belonging to the pigmentation pathway have been successfully genotyped using a SNP array. Five hundred and ninety MM cases and 507 controls were analyzed in a discovery phase I. Ten candidate SNPs based on a p-value threshold of 0.01 were identified. Two of them, rs35414 (SLC45A2) and rs2069398 (SILV/CKD2), were statistically significant after conservative Bonferroni correction. The best six SNPs were further tested in an independent Spanish series (624 MM cases and 789 controls). A novel SNP located on the SLC45A2 gene (rs35414) was found to be significantly associated with melanoma in both phase I and phase II (P<0.0001). None of the other five SNPs were replicated in this second phase of the study. However, three SNPs in TYR, SILV/CDK2 and ADAMTS20 genes (rs17793678, rs2069398 and rs1510521 respectively) had an overall p-value<0.05 when considering the whole DNA collection (1214 MM cases and 1296 controls). Both the SLC45A2 and the SILV/CDK2 variants behave as protective alleles, while the TYR and ADAMTS20 variants seem to function as risk alleles. Cumulative effects were detected when these four variants were considered together. Furthermore, individuals carrying two or more mutations in MC1R, a well-known low penetrance melanoma-predisposing gene, had a decreased MM risk if concurrently bearing the SLC45A2 protective variant. To our knowledge, this is the largest study on Spanish sporadic MM cases to date. PMID:21559390

  15. A customized pigmentation SNP array identifies a novel SNP associated with melanoma predisposition in the SLC45A2 gene.

    Directory of Open Access Journals (Sweden)

    Maider Ibarrola-Villava

    Full Text Available As the incidence of Malignant Melanoma (MM reflects an interaction between skin colour and UV exposure, variations in genes implicated in pigmentation and tanning response to UV may be associated with susceptibility to MM. In this study, 363 SNPs in 65 gene regions belonging to the pigmentation pathway have been successfully genotyped using a SNP array. Five hundred and ninety MM cases and 507 controls were analyzed in a discovery phase I. Ten candidate SNPs based on a p-value threshold of 0.01 were identified. Two of them, rs35414 (SLC45A2 and rs2069398 (SILV/CKD2, were statistically significant after conservative Bonferroni correction. The best six SNPs were further tested in an independent Spanish series (624 MM cases and 789 controls. A novel SNP located on the SLC45A2 gene (rs35414 was found to be significantly associated with melanoma in both phase I and phase II (P<0.0001. None of the other five SNPs were replicated in this second phase of the study. However, three SNPs in TYR, SILV/CDK2 and ADAMTS20 genes (rs17793678, rs2069398 and rs1510521 respectively had an overall p-value<0.05 when considering the whole DNA collection (1214 MM cases and 1296 controls. Both the SLC45A2 and the SILV/CDK2 variants behave as protective alleles, while the TYR and ADAMTS20 variants seem to function as risk alleles. Cumulative effects were detected when these four variants were considered together. Furthermore, individuals carrying two or more mutations in MC1R, a well-known low penetrance melanoma-predisposing gene, had a decreased MM risk if concurrently bearing the SLC45A2 protective variant. To our knowledge, this is the largest study on Spanish sporadic MM cases to date.

  16. Large Scale Association Analysis for Drug Addiction: Results from SNP to Gene

    Directory of Open Access Journals (Sweden)

    Xiaobo Guo

    2012-01-01

    Full Text Available Many genetic association studies used single nucleotide polymorphisms (SNPs data to identify genetic variants for complex diseases. Although SNP-based associations are most common in genome-wide association studies (GWAS, gene-based association analysis has received increasing attention in understanding genetic etiologies for complex diseases. While both methods have been used to analyze the same data, few genome-wide association studies compare the results or observe the connection between them. We performed a comprehensive analysis of the data from the Study of Addiction: Genetics and Environment (SAGE and compared the results from the SNP-based and gene-based analyses. Our results suggest that the gene-based method complements the individual SNP-based analysis, and conceptually they are closely related. In terms of gene findings, our results validate many genes that were either reported from the analysis of the same dataset or based on animal studies for substance dependence.

  17. fcGENE: a versatile tool for processing and transforming SNP datasets.

    Directory of Open Access Journals (Sweden)

    Nab Raj Roshyara

    Full Text Available Modern analysis of high-dimensional SNP data requires a number of biometrical and statistical methods such as pre-processing, analysis of population structure, association analysis and genotype imputation. Software used for these purposes often rely on specific and incompatible input and output data formats. Therefore extensive data management including multiple format conversions is necessary during analyses.In order to support fast and efficient management and bio-statistical quality control of high-dimensional SNP data, we developed the publically available software fcGENE using C++ object-oriented programming language. This software simplifies and automates the use of different existing analysis packages, especially during the workflow of genotype imputations and corresponding analyses.fcGENE transforms SNP data and imputation results into different formats required for a large variety of analysis packages such as PLINK, SNPTEST, HAPLOVIEW, EIGENSOFT, GenABEL and tools used for genotype imputation such as MaCH, IMPUTE, BEAGLE and others. Data Management tasks like merging, splitting, extracting SNP and pedigree information can be performed. fcGENE also supports a number of bio-statistical quality control processes and quality based filtering processes at SNP- and sample-wise level. The tool also generates templates of commands required to run specific software packages, especially those required for genotype imputation. We demonstrate the functionality of fcGENE by example workflows of SNP data analyses and provide a comprehensive manual of commands, options and applications.We have developed a user-friendly open-source software fcGENE, which comprehensively supports SNP data management, quality control and analysis workflows. Download statistics and corresponding feedbacks indicate that software is highly recognised and extensively applied by the scientific community.

  18. MDM2 SNP309, gene-gene interaction, and tumor susceptibility: an updated meta-analysis

    Directory of Open Access Journals (Sweden)

    Wu Wei

    2011-05-01

    Full Text Available Abstract Background The tumor suppressor gene p53 is involved in multiple cellular pathways including apoptosis, transcriptional control, and cell cycle regulation. In the last decade it has been demonstrated that the single nucleotide polymorphism (SNP at codon 72 of the p53 gene is associated with the risk for development of various neoplasms. MDM2 SNP309 is a single nucleotide T to G polymorphism located in the MDM2 gene promoter. From the time that this well-characterized functional polymorphism was identified, a variety of case-control studies have been published that investigate the possible association between MDM2 SNP309 and cancer risk. However, the results of the published studies, as well as the subsequent meta-analyses, remain contradictory. Methods To investigate whether currently published epidemiological studies can clarify the potential interaction between MDM2 SNP309 and the functional genetic variant in p53 codon72 (Arg72Pro and p53 mutation status, we performed a meta-analysis of the risk estimate on 27,813 cases with various tumor types and 30,295 controls. Results The data we reviewed indicated that variant homozygote 309GG and heterozygote 309TG were associated with a significant increased risk of all tumor types (homozygote comparison: odds ratio (OR = 1.25, 95% confidence interval (CI = 1.13-1.37; heterozygote comparison: OR = 1.10, 95% CI = 1.03-1.17. We also found that the combination of GG and Pro/Pro, TG and Pro/Pro, GG and Arg/Arg significantly increased the risk of cancer (OR = 3.38, 95% CI = 1.77-6.47; OR = 1.88, 95% CI = 1.26-2.81; OR = 1.96, 95% CI = 1.01-3.78, respectively. In a stratified analysis by tumor location, we also found a significant increased risk in brain, liver, stomach and uterus cancer (OR = 1.47, 95% CI = 1.06-2.03; OR = 2.24, 95%CI = 1.57-3.18; OR = 1.54, 95%CI = 1.04-2.29; OR = 1.34, 95%CI = 1.07-1.29, respectively. However, no association was seen between MDM2 SNP309 and tumor susceptibility

  19. Genome-wide SNP association-based localization of a dwarfism gene in Friesian dwarf horses

    NARCIS (Netherlands)

    Orr, J.L.; Back, W.; Gu, J.; Leegwater, P.H.; Govindarajan, P.; Conroy, J.; Ducro, B.J.; Arendonk, van J.A.M.

    2010-01-01

    The recent completion of the horse genome and commercial availability of an equine SNP genotyping array has facilitated the mapping of disease genes. We report putative localization of the gene responsible for dwarfism, a trait in Friesian horses that is thought to have a recessive mode of

  20. A novel SNP in 3' UTR of INS gene: A case report of neonatal diabetes mellitus.

    Science.gov (United States)

    Bogari, Neda M; Rayes, Husni H; Mostafa, Fakri; Abdel-Latif, Azza M; Ramadan, Abeer; Al-Allaf, Faisal A; Taher, Mohiuddin M; Fawzy, Ahmed

    2015-09-01

    Neonatal diabetes mellitus (NDM) is a rare condition with a prevalence of 1 in 300,000 live births. We have found 3 known SNPs in 5'UTR and a novel SNP in 3' UTR in the INS gene. These SNPs were present in 9-month-old girl from Saudi Arabia and also present in the father and mother. The novel SNP we found is not present in 1000 Genome project or other databases. Further, the newly identified 3' UTR mutation in the INS gene may abolish the polyadenylation signal and result in severe RNA instability.

  1. Molecular Characterization and SNP Markers of the β-purothionin Gene in Einkorn Wheats

    Institute of Scientific and Technical Information of China (English)

    LI Jing-qiong; ZHENG You-liang; WEI Yu-ming

    2009-01-01

    Forty-three gene sequences encoding purothionin were characterized from the three species or subspecies of einkorn wheats.These sequences contained 887 bp,among which 92 SNPs including 29 indel loci were detected,giving an average SNP frequency of one SNP per 9.64 bases.According to these sequences,5 SNP markers were successfully designed,which were used to mine the variations of purothionin genes of 102 einkorn wheat accessions.Based on the 5 detected SNP loci,102 einkorn wheat accessions could be divided into 21 haplotypes,among which 11 hapiotypes contained a single sample.Phylogenetic analysis indicated that the purothionin genes from einkorn wheats were more closely related to those from D genome than B genome.Seven out of the 43 gene sequences were assumed to be pseudogenes by the definition of containing in-frame stop codons and small insertions/deletions leading to frameshifi.In the remaining 36 amino acid sequences,the 8 Cys and Tyr-13 loci in the mature thionin domain which played important roles in the biological activities were all conserved,whereas there were some varieties occurred in some other important amino acid residues such as Lys and Arg.

  2. Different SNP combinations in the GCH1 gene and use of labor analgesia

    Directory of Open Access Journals (Sweden)

    Sundström-Poromaa Inger

    2010-07-01

    Full Text Available Abstract Background The aim of this study was to investigate if there is an association between different SNP combinations in the guanosine triphosphate cyclohydrolase (GCH1 gene and a number of pain behavior related outcomes during labor. A population-based sample of pregnant women (n = 814 was recruited at gestational week 18. A plasma sample was collected from each subject. Genotyping was performed and three single nucleotide polymorphisms (SNP previously defined as a pain-protective SNP combination of GCH1 were used. Results Homozygous carriers of the pain-protective SNP combination of GCH1 arrived to the delivery ward with a more advanced stage of cervical dilation compared to heterozygous carriers and non-carriers. However, homozygous carriers more often used second line labor analgesia compared to the others. Conclusion The pain-protective SNP combination of GCH1 may be of importance in the limited number of homozygous carriers during the initial dilation of cervix but upon arrival at the delivery unit these women are more inclined to use second line labor analgesia.

  3. Identification and SNP association analysis of a novel gene in chicken.

    Science.gov (United States)

    Mei, Xingxing; Kang, Xiangtao; Liu, Xiaojun; Jia, Lijuan; Li, Hong; Li, Zhuanjian; Jiang, Ruirui

    2016-02-01

    A novel gene that was predicted to encode a long noncoding RNA (lncRNA) transcript was identified in a previous study that aimed to detect candidate genes related to growth rate differences between Chinese local breed Gushi chickens and Anka broilers. To characterise the biological function of the lncRNA, we cloned and sequenced the complete open reading frame of the gene. We performed quantitative real-time polymerase chain reaction (qPCR) to analyse the expression patterns of the lncRNA in different tissues of chicken at different development stages. The qPCR data showed that the novel lncRNA gene was expressed extensively, with the highest abundance in spleen and lung and the lowest abundance in pectoralis and leg muscle. Additionally, we identified a single nucleotide polymorphism (SNP) at the 5'-end of the gene and studied the association between the SNP and chicken growth traits using data from an F2 resource population of Gushi chickens and Anka broilers. The association analysis showed that the SNP was significantly (P chickens at 1 day, 4 weeks and 6 weeks of age. We concluded that the novel lncRNA gene, which we designated pouBW1, may play an important role in regulating chicken growth.

  4. (SNP) of GH gene in camel breeds reared in Egypt

    African Journals Online (AJOL)

    Hend

    2015-03-04

    Mar 4, 2015 ... Full Length Research Paper. Detection of ... The aim of this study was to detect the genetic polymorphism of ... are Maghrabi (a dual purpose animal; (meat and milk) .... products of camel GH gene with MspI; TT: homozygous.

  5. Identification of novel SNP in caprine β -lactoglobulin gene

    Indian Academy of Sciences (India)

    LEILA GHAREDAGHI; HOSEIN MORADI SHAHRBABAK; MOSTAFA SADEGHI

    2016-09-01

    β-lactoglobulin (β-LG) gene is suggested as a functional candidate gene for milk yield and milk composition. β-LG polymorphism has been reported to be associated with milk yield in cows, sheep and Indian goats. This study was performed to identify SNPs in exon 7 of β-LG gene and their association with milk traits in Iranian local Mahabadi goats using polymerase chain reaction (PCR)-single-strand conformation polymorphism (SSCP) and PCR-sequencing. Three SSCP patterns were observed with frequencies 0.678, 0.096 and 0.226, respectively. Subsequently, after sequencing each unique pattern nine novel mutations were identified. These mutations include: T InDel at nucleotide position 93 and substitutions T/C, T/G, T/C, G/T, T/G, T/C, G/A and A/T at nucleotide positions 99, 124, 126, 134, 147, 156, 176 and 177, respectively. Of these, seven mutationswere same among the genotypic patterns while differences were related to T deletion and insertion (-/T) at nucleotide position 93 with frequencies 0.22 and 0.78 in the presence and absence of T allele, respectively; and substitution (A/T) at nucleotide position 177 with frequencies 0.16 and 0.84 for A and T alleles, respectively. Milk traits including milk production (gr), milk fat and protein (%) were also measured. These findings demonstrated that β -LG gene had a significant effect on milk protein percentage (P< 0.05), but had no significant effect on milk production and milk fat percentage.

  6. SNP selection for genes of iron metabolism in a study of genetic modifiers of hemochromatosis

    Directory of Open Access Journals (Sweden)

    Vulpe Chris D

    2008-03-01

    Full Text Available Abstract Background We report our experience of selecting tag SNPs in 35 genes involved in iron metabolism in a cohort study seeking to discover genetic modifiers of hereditary hemochromatosis. Methods We combined our own and publicly available resequencing data with HapMap to maximise our coverage to select 384 SNPs in candidate genes suitable for typing on the Illumina platform. Results Validation/design scores above 0.6 were not strongly correlated with SNP performance as estimated by Gentrain score. We contrasted results from two tag SNP selection algorithms, LDselect and Tagger. Varying r2 from 0.5 to 1.0 produced a near linear correlation with the number of tag SNPs required. We examined the pattern of linkage disequilibrium of three levels of resequencing coverage for the transferrin gene and found HapMap phase 1 tag SNPs capture 45% of the ≥ 3% MAF SNPs found in SeattleSNPs where there is nearly complete resequencing. Resequencing can reveal adjacent SNPs (within 60 bp which may affect assay performance. We report the number of SNPs present within the region of six of our larger candidate genes, for different versions of stock genotyping assays. Conclusion A candidate gene approach should seek to maximise coverage, and this can be improved by adding to HapMap data any available sequencing data. Tag SNP software must be fast and flexible to data changes, since tag SNP selection involves iteration as investigators seek to satisfy the competing demands of coverage within and between populations, and typability on the technology platform chosen.

  7. SNP genotypes of olfactory receptor genes associated with olfactory ability in German Shepherd dogs.

    Science.gov (United States)

    Yang, M; Geng, G-J; Zhang, W; Cui, L; Zhang, H-X; Zheng, J-L

    2016-04-01

    To find out the relationship between SNP genotypes of canine olfactory receptor genes and olfactory ability, 28 males and 20 females from German Shepherd dogs in police service were scored by odor detection tests and analyzed using the Beckman GenomeLab SNPstream. The representative 22 SNP loci from the exonic regions of 12 olfactory receptor genes were investigated, and three kinds of odor (human, ice drug and trinitrotoluene) were detected. The results showed that the SNP genotypes at the OR10H1-like:c.632C>T, OR10H1-like:c.770A>T, OR2K2-like:c.518G>A, OR4C11-like:c.511T>G and OR4C11-like:c.692G>A loci had a statistically significant effect on the scenting abilities (P dogs (P T, OR10H1-like:c.770A>T, OR4C11-like:c.511T>G and OR4C11-like:c.692G>A (P dogs with genotype CC at the OR10H1-like:c.632C>T, genotype AA at the OR10H1-like:c.770A>T, genotype TT at the OR4C11-like:c.511T>G and genotype GG at the OR4C11-like:c.692G>A loci did better at detecting the ice drug. We concluded that there was linkage between certain SNP genotypes and the olfactory ability of dogs and that SNP genotypes might be useful in determining dogs' scenting potential.

  8. Quadruplex-single nucleotide polymorphisms (Quad-SNP) influence gene expression difference among individuals.

    Science.gov (United States)

    Baral, Aradhita; Kumar, Pankaj; Halder, Rashi; Mani, Prithvi; Yadav, Vinod Kumar; Singh, Ankita; Das, Swapan K; Chowdhury, Shantanu

    2012-05-01

    Non-canonical guanine quadruplex structures are not only predominant but also conserved among bacterial and mammalian promoters. Moreover recent findings directly implicate quadruplex structures in transcription. These argue for an intrinsic role of the structural motif and thereby posit that single nucleotide polymorphisms (SNP) that compromise the quadruplex architecture could influence function. To test this, we analysed SNPs within quadruplex motifs (Quad-SNP) and gene expression in 270 individuals across four populations (HapMap) representing more than 14,500 genotypes. Findings reveal significant association between quadruplex-SNPs and expression of the corresponding gene in individuals (P analysis of Quad-SNPs obtained from population-scale sequencing of 1000 human genomes showed relative selection bias against alteration of the structural motif. To directly test the quadruplex-SNP-transcription connection, we constructed a reporter system using the RPS3 promoter-remarkable difference in promoter activity in the 'quadruplex-destabilized' versus 'quadruplex-intact' promoter was noticed. As a further test, we incorporated a quadruplex motif or its disrupted counterpart within a synthetic promoter reporter construct. The quadruplex motif, and not the disrupted-motif, enhanced transcription in human cell lines of different origin. Together, these findings build direct support for quadruplex-mediated transcription and suggest quadruplex-SNPs may play significant role in mechanistically understanding variations in gene expression among individuals.

  9. Comparative SNP diversity among four Eucalyptus species for genes from secondary metabolite biosynthetic pathways

    Directory of Open Access Journals (Sweden)

    Foley William J

    2009-09-01

    Full Text Available Abstract Background There is little information about the DNA sequence variation within and between closely related plant species. The combination of re-sequencing technologies, large-scale DNA pools and availability of reference gene sequences allowed the extensive characterisation of single nucleotide polymorphisms (SNPs in genes of four biosynthetic pathways leading to the formation of ecologically relevant secondary metabolites in Eucalyptus. With this approach the occurrence and patterns of SNP variation for a set of genes can be compared across different species from the same genus. Results In a single GS-FLX run, we sequenced over 103 Mbp and assembled them to approximately 50 kbp of reference sequences. An average sequencing depth of 315 reads per nucleotide site was achieved for all four eucalypt species, Eucalyptus globulus, E. nitens, E. camaldulensis and E. loxophleba. We sequenced 23 genes from 1,764 individuals and discovered 8,631 SNPs across the species, with about 1.5 times as many SNPs per kbp in the introns compared to exons. The exons of the two closely related species (E. globulus and E. nitens had similar numbers of SNPs at synonymous and non-synonymous sites. These species also had similar levels of SNP diversity, whereas E. camaldulensis and E. loxophleba had much higher SNP diversity. Neither the pathway nor the position in the pathway influenced gene diversity. The four species share between 20 and 43% of the SNPs in these genes. Conclusion By using conservative statistical detection methods, we were confident about the validity of each SNP. With numerous individuals sampled over the geographical range of each species, we discovered one SNP in every 33 bp for E. nitens and one in every 31 bp in E. globulus. In contrast, the more distantly related species contained more SNPs: one in every 16 bp for E. camaldulensis and one in 17 bp for E. loxophleba, which is, to the best of our knowledge, the highest frequency of SNPs

  10. Virtual Screening SNP-Polymorphisms of Genes Determining the High Level of General Non-Specific Reactivity of Organism

    Directory of Open Access Journals (Sweden)

    Yuliya A. Shatyr

    2015-09-01

    Full Text Available As a result of a bioinformatic search using resources of NCBI PubMed Central, PDB, KEGG, and SNP authors have developed a database of genes associated with phenotypic manifestations of general non-specific reactivity level (GNRL. Out of 164 genes primarily relevant by search criteria for a detailed analysis there are selected 23 genes, divided into four groups: genes associated with the synthesis and reception of neurotransmitters (1; genes associated with membrane transport of electrolytes (2; genes associated with the synthesis of interleukins (3; and genes associated with certain metabolic response (4. After studying the SNP-polymorphisms annotations in the database NCBI-SNP, 10 genes and 20 SNP- polymorphisms were identified as the most likely candidates for the potential formation of phenotypic manifestations for GNRL. Further analysis of the degree of influence the conformational variability of amino acid chains in forming the secondary structure of proteins on their likely functional properties allows to select as promising the next 6 SNP: rs1851048 and rs 6777055 in the cacna2d3 gene, encoding the voltage gated Ca2+ channels; rs2562456 in znf-ld gene of zinc-containing transcriptional regulator of DNA methylation; rs6923492 and rs362962 in grm1 gene of metabotropic glutamate receptor; and rs6314 in htr2a gene, coding for serotonin receptor type 2A

  11. Complex nature of SNP genotype effects on gene expression in primary human leucocytes

    Directory of Open Access Journals (Sweden)

    Dinesen Lotte C

    2009-01-01

    Full Text Available Abstract Background Genome wide association studies have been hugely successful in identifying disease risk variants, yet most variants do not lead to coding changes and how variants influence biological function is usually unknown. Methods We correlated gene expression and genetic variation in untouched primary leucocytes (n = 110 from individuals with celiac disease – a common condition with multiple risk variants identified. We compared our observations with an EBV-transformed HapMap B cell line dataset (n = 90, and performed a meta-analysis to increase power to detect non-tissue specific effects. Results In celiac peripheral blood, 2,315 SNP variants influenced gene expression at 765 different transcripts (cis expression quantitative trait loci, eQTLs. 135 of the detected SNP-probe effects (reflecting 51 unique probes were also detected in a HapMap B cell line published dataset, all with effects in the same allelic direction. Overall gene expression differences within the two datasets predominantly explain the limited overlap in observed cis-eQTLs. Celiac associated risk variants from two regions, containing genes IL18RAP and CCR3, showed significant cis genotype-expression correlations in the peripheral blood but not in the B cell line datasets. We identified 14 genes where a SNP affected the expression of different probes within the same gene, but in opposite allelic directions. By incorporating genetic variation in co-expression analyses, functional relationships between genes can be more significantly detected. Conclusion In conclusion, the complex nature of genotypic effects in human populations makes the use of a relevant tissue, large datasets, and analysis of different exons essential to enable the identification of the function for many genetic risk variants in common diseases.

  12. In silico characterization of functional SNP within the oestrogen receptor gene

    Indian Academy of Sciences (India)

    MAHA REBAĨ; AHMED REBAĨ

    2016-12-01

    Single-nucleotide polymorphism (SNP) association studies have become crucial in uncovering the genetic correlations of genomic variants with complex diseases, quantitative traits and physiological responses to drugs. However, the identificationof SNPs responsible for specific phenotypes is a difficult problem to solve, requiring multiple testing of hundreds or thousands of SNPs in candidate genes. In this study, we performed an analysis of the genetic variations that can alter the structure and function of oestrogen receptor α using different computational tools. Among the nonsynonymous SNPs, a total of four SNPs were found to be damaging by both a sequence homology-based tool (SIFT) and a structural homology-based method (polyphen-2, SNAP), as well as by the ESEfinder program, and one nonsense nsSNP was found. For noncoding SNPs, we found that one SNP in 5'UTR may potentially change protein expression level, nine SNPs were found to affect miRNA binding site and 28 SNPs might affect transcriptional regulation of the ESR1 gene. Reviewing the literature, 89 SNPs were found to be functional among which only four were located in exons.

  13. Supplementing High-Density SNP Microarrays for Additional Coverage of Disease-Related Genes: Addiction as a Paradigm

    Energy Technology Data Exchange (ETDEWEB)

    SacconePhD, Scott F [Washington University, St. Louis; Chesler, Elissa J [ORNL; Bierut, Laura J [Washington University, St. Louis; Kalivas, Peter J [Medical College of South Carolina, Charleston; Lerman, Caryn [University of Pennsylvania; Saccone, Nancy L [Washington University, St. Louis; Uhl, George R [Johns Hopkins University; Li, Chuan-Yun [Peking University; Philip, Vivek M [ORNL; Edenberg, Howard [Indiana University; Sherry, Steven [National Center for Biotechnology Information; Feolo, Michael [National Center for Biotechnology Information; Moyzis, Robert K [Johns Hopkins University; Rutter, Joni L [National Institute of Drug Abuse

    2009-01-01

    Commercial SNP microarrays now provide comprehensive and affordable coverage of the human genome. However, some diseases have biologically relevant genomic regions that may require additional coverage. Addiction, for example, is thought to be influenced by complex interactions among many relevant genes and pathways. We have assembled a list of 486 biologically relevant genes nominated by a panel of experts on addiction. We then added 424 genes that showed evidence of association with addiction phenotypes through mouse QTL mappings and gene co-expression analysis. We demonstrate that there are a substantial number of SNPs in these genes that are not well represented by commercial SNP platforms. We address this problem by introducing a publicly available SNP database for addiction. The database is annotated using numeric prioritization scores indicating the extent of biological relevance. The scores incorporate a number of factors such as SNP/gene functional properties (including synonymy and promoter regions), data from mouse systems genetics and measures of human/mouse evolutionary conservation. We then used HapMap genotyping data to determine if a SNP is tagged by a commercial microarray through linkage disequilibrium. This combination of biological prioritization scores and LD tagging annotation will enable addiction researchers to supplement commercial SNP microarrays to ensure comprehensive coverage of biologically relevant regions.

  14. Cloning, chromosomal localization, SNP detection and association analysis of the porcine IRS-1 gene.

    Science.gov (United States)

    Niu, P-X; Huang, Z; Li, C-C; Fan, B; Li, K; Liu, B; Yu, M; Zhao, S-H

    2009-11-01

    Insulin receptor substrate-1(IRS-1) gene is one member of the Insulin receptor substrate (IRS) gene family, which plays an important role in mediating the growth of skeletal muscle and the molecular metabolism of type 2 diabetes. Here, we cloned a 3,573 bp fragment of the partial CDS sequence of porcine IRS-1 gene by in silicon cloning strategy and RT-PCR method. The porcine IRS-1 gene was assigned to SSC15q25 by using IMpRH. Sequencing of PCR products from Duroc and Tibetan pig breeds identified one SNP in exon 1 of porcine IRS-1 gene (C3257A polymorphisms). Association analysis of genotypes with the growth traits, anatomy traits, meat quality traits and physiological biochemical indexes traits showed that different genotypes at locus 3,257 of IRS-1 have significant differences in carcass straight length in pigs (P = 0.0102 \\ 0.05).

  15. Fast and Rigorous Computation of Gene and Pathway Scores from SNP-Based Summary Statistics.

    Science.gov (United States)

    Lamparter, David; Marbach, Daniel; Rueedi, Rico; Kutalik, Zoltán; Bergmann, Sven

    2016-01-01

    Integrating single nucleotide polymorphism (SNP) p-values from genome-wide association studies (GWAS) across genes and pathways is a strategy to improve statistical power and gain biological insight. Here, we present Pascal (Pathway scoring algorithm), a powerful tool for computing gene and pathway scores from SNP-phenotype association summary statistics. For gene score computation, we implemented analytic and efficient numerical solutions to calculate test statistics. We examined in particular the sum and the maximum of chi-squared statistics, which measure the strongest and the average association signals per gene, respectively. For pathway scoring, we use a modified Fisher method, which offers not only significant power improvement over more traditional enrichment strategies, but also eliminates the problem of arbitrary threshold selection inherent in any binary membership based pathway enrichment approach. We demonstrate the marked increase in power by analyzing summary statistics from dozens of large meta-studies for various traits. Our extensive testing indicates that our method not only excels in rigorous type I error control, but also results in more biologically meaningful discoveries.

  16. Fine Mapping of a Clubroot Resistance Gene in Chinese Cabbage Using SNP Markers Identified from Bulked Segregant RNA Sequencing

    Science.gov (United States)

    Huang, Zhen; Peng, Gary; Liu, Xunjia; Deora, Abhinandan; Falk, Kevin C.; Gossen, Bruce D.; McDonald, Mary R.; Yu, Fengqun

    2017-01-01

    Clubroot, caused by Plasmodiophora brassicae, is an important disease of canola (Brassica napus) in western Canada and worldwide. In this study, a clubroot resistance gene (Rcr2) was identified and fine mapped in Chinese cabbage cv. “Jazz” using single-nucleotide polymorphisms (SNP) markers identified from bulked segregant RNA sequencing (BSR-Seq) and molecular markers were developed for use in marker assisted selection. In total, 203.9 million raw reads were generated from one pooled resistant (R) and one pooled susceptible (S) sample, and >173,000 polymorphic SNP sites were identified between the R and S samples. One significant peak was observed between 22 and 26 Mb of chromosome A03, which had been predicted by BSR-Seq to contain the causal gene Rcr2. There were 490 polymorphic SNP sites identified in the region. A segregating population consisting of 675 plants was analyzed with 15 SNP sites in the region using the Kompetitive Allele Specific PCR method, and Rcr2 was fine mapped between two SNP markers, SNP_A03_32 and SNP_A03_67 with 0.1 and 0.3 cM from Rcr2, respectively. Five SNP markers co-segregated with Rcr2 in this region. Variants were identified in 14 of 36 genes annotated in the Rcr2 target region. The numbers of poly variants differed among the genes. Four genes encode TIR-NBS-LRR proteins and two of them Bra019410 and Bra019413, had high numbers of polymorphic variants and so are the most likely candidates of Rcr2. PMID:28894454

  17. Cell cycle genes and ovarian cancer susceptibility: a tagSNP analysis

    DEFF Research Database (Denmark)

    Cunningham, J M; Vierkant, R A; Sellers, T A;

    2009-01-01

    BACKGROUND: Dysregulation of the cell cycle is a hallmark of many cancers including ovarian cancer, a leading cause of gynaecologic cancer mortality worldwide. METHODS: We examined single nucleotide polymorphisms (SNPs) (n=288) from 39 cell cycle regulation genes, including cyclins, cyclin...... in a replication population, and the association remained suggestive in the combined analysis [OR(BB vs AA) 1.59 (1.08-2.34), P=0.02]. No other SNP associations remained suggestive in the replication populations. CONCLUSION: ABL1 has been implicated in multiple processes including cell division, cell adhesion...

  18. Genome-wide SNP association-based localization of a dwarfism gene in Friesian dwarf horses.

    Science.gov (United States)

    Orr, N; Back, W; Gu, J; Leegwater, P; Govindarajan, P; Conroy, J; Ducro, B; Van Arendonk, J A M; MacHugh, D E; Ennis, S; Hill, E W; Brama, P A J

    2010-12-01

    The recent completion of the horse genome and commercial availability of an equine SNP genotyping array has facilitated the mapping of disease genes. We report putative localization of the gene responsible for dwarfism, a trait in Friesian horses that is thought to have a recessive mode of inheritance, to a 2-MB region of chromosome 14 using just 10 affected animals and 10 controls. We successfully genotyped 34,429 SNPs that were tested for association with dwarfism using chi-square tests. The most significant SNP in our study, BIEC2-239376 (P(2df)=4.54 × 10(-5), P(rec)=7.74 × 10(-6)), is located close to a gene implicated in human dwarfism. Fine-mapping and resequencing analyses did not aid in further localization of the causative variant, and replication of our findings in independent sample sets will be necessary to confirm these results. © 2010 The Authors, Journal compilation © 2010 Stichting International Foundation for Animal Genetics.

  19. Association between SNP and haplotypes in PPARGCl and adiponectin genes and bone mineral density in Chinese nuclear families

    Institute of Scientific and Technical Information of China (English)

    Zhen-lin ZHANG; Jin-wei HE; Yue-juan QIN; Yun-qiu HU; Miao LI; Yu-juan LIU; Hao ZHANG; Wei-wei HU

    2007-01-01

    Aim: To assess the contribution of single nucleotide polymorphisms (SNP) and haplotypes in the peroxisome proliferator-activated receptor-γ co-activator-1(PPARGC1) and adiponectin genes to normal bone mineral density (BMD) variation in healthy Chinese women and men. Methods: We performed population-based (ANOVA) and family-based (quantitative trait locus transmission disequi-librium test) association studies of PPARGC1 and adiponectin genes. SNP in the 2 genes were genotyped. BMD was measured using dual-energy X-ray absorptiometry in the lumbar spine and hip in 401 nuclear families with a total of1260 subjects, including 458 premenopausal women, 20-40 years of age; 401 post-menopausal women (mothers), 43-74 years of age; and 401 men (fathers), 49-76years of age. Results: Significant within-family association was found between the Thr394Thr polymorphism in the PPGAGC1 gene and peak BMD in the femoral neck (P=0.026). Subsequent permutations were in agreement with this significant within-family association result (P=0.016), but Thr394Thr SNP only accounted for0.7% of the variation in femoral neck peak BMD. However, no significant within-family association was detected between each SNP in the adiponect in gene and peak BMD. Although no significant association was found between BMD and SNP in the PPARGC1 and adiponectin genes in both men and postmenopausal women, haplotype 2 (T-T) in the adiponect in gene was associated with lumbar spine BMD in postmenopausal women (P=0.019). Conclusion: Our findings sug-gest that Thr394Thr SNP in the PPARGC1 gene was associated with peak BMD in the femoral neck in Chinese women. Confirmation of our results is needed in other populations and with more functional markers within and flanking the PPARGC1 or adiponectin genes region.

  20. Identification of T1D susceptibility genes within the MHC region by combining protein interaction networks and SNP genotyping data

    DEFF Research Database (Denmark)

    Brorsson, C.; Hansen, Niclas Tue; Hansen, Kasper Lage;

    2009-01-01

    region were analysed in 1000 affected offspring trios generated by the Type 1 Diabetes Genetics Consortium (T1DGC). The most associated SNP in each gene was chosen and genes were mapped to ppi networks for identification of interaction partners. The association testing and resulting interacting protein...

  1. A functional SNP associated with atopic dermatitis controls cell type-specific methylation of the VSTM1 gene locus

    NARCIS (Netherlands)

    Kumar, Dilip; Puan, Kia Joo; Andiappan, Anand Kumar; Lee, Bernett; Westerlaken, Geertje H.A.|info:eu-repo/dai/nl/30482092X; Haase, Doreen; Melchiotti, Rossella; Li, Zhuang; Yusof, Nurhashikin; Lum, Josephine; Koh, Geraldine; Foo, Shihui; Yeong, Joe; Alves, Alexessander Da Silva Couto; Pekkanen, Juha; Sun, Liang Dan; Irwanto, Astrid; Fairfax, Benjamin P.; Naranbhai, Vivek; Common, John E.A.; Tang, Mark B Y; Chuang, Chin Keh; Jarvelin, Marjo-Riitta; Knight, Julian C.; Zhang, Xuejun; Chew, Fook Tim; Prabhakar, Shyam; Jianjun, Liu; Wang, De Yun; Zolezzi, Francesca; Poidinger, Michael; Lane, E. Birgitte; Meyaard, Linde|info:eu-repo/dai/nl/13444972X; Rötzschke, Olaf

    2017-01-01

    Background: Expression quantitative trait loci (eQTL) databases represent a valuable resource to link disease-associated SNPs to specific candidate genes whose gene expression is significantly modulated by the SNP under investigation. We previously identified signal inhibitory receptor on

  2. Whole-Genome Analysis of Diversity and SNP-Major Gene Association in Peach Germplasm.

    Directory of Open Access Journals (Sweden)

    Diego Micheletti

    Full Text Available Peach was domesticated in China more than four millennia ago and from there it spread world-wide. Since the middle of the last century, peach breeding programs have been very dynamic generating hundreds of new commercial varieties, however, in most cases such varieties derive from a limited collection of parental lines (founders. This is one reason for the observed low levels of variability of the commercial gene pool, implying that knowledge of the extent and distribution of genetic variability in peach is critical to allow the choice of adequate parents to confer enhanced productivity, adaptation and quality to improved varieties. With this aim we genotyped 1,580 peach accessions (including a few closely related Prunus species maintained and phenotyped in five germplasm collections (four European and one Chinese with the International Peach SNP Consortium 9K SNP peach array. The study of population structure revealed the subdivision of the panel in three main populations, one mainly made up of Occidental varieties from breeding programs (POP1OCB, one of Occidental landraces (POP2OCT and the third of Oriental accessions (POP3OR. Analysis of linkage disequilibrium (LD identified differential patterns of genome-wide LD blocks in each of the populations. Phenotypic data for seven monogenic traits were integrated in a genome-wide association study (GWAS. The significantly associated SNPs were always in the regions predicted by linkage analysis, forming haplotypes of markers. These diagnostic haplotypes could be used for marker-assisted selection (MAS in modern breeding programs.

  3. Association between SNP rs10569304 on the Second Expressed Region of Hole Gene and the Congenital Heart Disease

    Institute of Scientific and Technical Information of China (English)

    张亚莉; 徐琳; 邱健; 李志梁; 李林海; 任广立; 董爱荣; 李炳玲; 葛明晓; 蒙仕仁; 王剑青

    2010-01-01

    The correlation of single nucleotide polymorphism (SNP) rs10569304 on the second expressed region of hole gene and congenital heart disease (CHD) of human being, and the effect of hole gene on CHD were investigated. 179 patients with CHD as CHD group and 183 healthy people as control group were selected in the case-control study. DNA was abstracted from the peripheral blood by phenol-chloroform method. Primer was designed for the flanking sequence of SNP rs10569304 on the second expressed region of hole gen...

  4. Mining susceptibility gene modules and disease risk genes from SNP data by combining network topological properties with support vector regression.

    Science.gov (United States)

    Hua, Lin; Zhou, Ping; Liu, Hong; Li, Lin; Yang, Zheng; Liu, Zhi-cheng

    2011-11-21

    Genome-wide association study is a powerful approach to identify disease risk loci. However, the molecular regulatory mechanisms for most complex diseases are still not well understood. Therefore, further investigating the interplay between genetic factors and biological networks is important for elucidating the molecular mechanisms of complex diseases. Here, we proposed a novel framework to identify susceptibility gene modules and disease risk genes by combining network topological properties with support vector regression from single nucleotide polymorphism (SNP) level. We assigned risk SNPs to genes using the University of California at Santa Cruz (UCSC) genome database, and then mapped these genes to protein-protein interaction (PPI) networks. The gene modules implicated by hub genes were extracted using the PPI networks and the topological property was analyzed for these gene modules. For each gene module, risk feature genes were determined by topological property analysis and support vector regression. As a result, five shared risk feature genes, CD80, EGFR, FN1, GSK3B and TRAF6 were found and proven to be associated with rheumatoid arthritis by previous reports. Our approach showed a good performance in comparison with other approaches and can be used for prioritizing candidate genes associated with complex diseases.

  5. Genome Fusion Detection: a novel method to detect fusion genes from SNP-array data.

    Science.gov (United States)

    Thieme, Sebastian; Groth, Philip

    2013-03-15

    Fusion genes result from genomic rearrangements, such as deletions, amplifications and translocations. Such rearrangements can also frequently be observed in cancer and have been postulated as driving event in cancer development. to detect them, one needs to analyze the transition region of two segments with different copy number, the location where fusions are known to occur. Finding fusion genes is essential to understanding cancer development and may lead to new therapeutic approaches. Here we present a novel method, the Genomic Fusion Detection algorithm, to predict fusion genes on a genomic level based on SNP-array data. This algorithm detects genes at the transition region of segments with copy number variation. With the application of defined constraints, certain properties of the detected genes are evaluated to predict whether they may be fused. We evaluated our prediction by calculating the observed frequency of known fusions in both primary cancers and cell lines. We tested a set of cell lines positive for the BCR-ABL1 fusion and prostate cancers positive for the TMPRSS2-ERG fusion. We could detect the fusions in all positive cell lines, but not in the negative controls.

  6. Identifying relationships among genomic disease regions: predicting genes at pathogenic SNP associations and rare deletions.

    Directory of Open Access Journals (Sweden)

    Soumya Raychaudhuri

    2009-06-01

    Full Text Available Translating a set of disease regions into insight about pathogenic mechanisms requires not only the ability to identify the key disease genes within them, but also the biological relationships among those key genes. Here we describe a statistical method, Gene Relationships Among Implicated Loci (GRAIL, that takes a list of disease regions and automatically assesses the degree of relatedness of implicated genes using 250,000 PubMed abstracts. We first evaluated GRAIL by assessing its ability to identify subsets of highly related genes in common pathways from validated lipid and height SNP associations from recent genome-wide studies. We then tested GRAIL, by assessing its ability to separate true disease regions from many false positive disease regions in two separate practical applications in human genetics. First, we took 74 nominally associated Crohn's disease SNPs and applied GRAIL to identify a subset of 13 SNPs with highly related genes. Of these, ten convincingly validated in follow-up genotyping; genotyping results for the remaining three were inconclusive. Next, we applied GRAIL to 165 rare deletion events seen in schizophrenia cases (less than one-third of which are contributing to disease risk. We demonstrate that GRAIL is able to identify a subset of 16 deletions containing highly related genes; many of these genes are expressed in the central nervous system and play a role in neuronal synapses. GRAIL offers a statistically robust approach to identifying functionally related genes from across multiple disease regions--that likely represent key disease pathways. An online version of this method is available for public use (http://www.broad.mit.edu/mpg/grail/.

  7. Allele diversity for abiotic stress responsive candidate genes in chickpea reference set using gene based SNP markers

    Directory of Open Access Journals (Sweden)

    Manish eRoorkiwal

    2014-06-01

    Full Text Available Chickpea is an important food legume crop for the semi-arid regions, however, its productivity is adversely affected by various biotic and abiotic stresses. Identification of candidate genes associated with abiotic stress response will help breeding efforts aiming to enhance its productivity. With this objective, 10 abiotic stress responsive candidate genes were selected on the basis of prior knowledge of this complex trait. These 10 genes were subjected to allele specific sequencing across a chickpea reference set comprising 300 genotypes including 211 accessions of chickpea mini core collection. A total of 1.3 Mbp sequence data were generated. Multiple sequence alignment revealed 79 SNPs and 41 indels in nine genes while the CAP2 gene was found to be conserved across all the genotypes. Among ten candidate genes, the maximum number of SNPs (34 was observed in abscisic acid stress and ripening (ASR gene including 22 transitions, 11 transversions and one tri-allelic SNP. Nucleotide diversity varied from 0.0004 to 0.0029 while PIC values ranged from 0.01 (AKIN gene to 0.43 (CAP2 promoter. Haplotype analysis revealed that alleles were represented by more than two haplotype blocks, except alleles of the CAP2 and sucrose synthase (SuSy gene, where only one haplotype was identified. These genes can be used for association analysis and if validated, may be useful for enhancing abiotic stress, including drought tolerance, through molecular breeding.

  8. Presence of sequence and SNP variation in the IRF6 gene in healthy residents of Guangdong Province

    Directory of Open Access Journals (Sweden)

    Wu Wenli

    2016-01-01

    Full Text Available This study was to investigate the single nucleotide polymorphism (SNP in the interferon regulatory factor 6 (IRF6 gene in healthy residents of Guangdong Province, China, for further analysis of their associations with the development of cleft lip with or without palate (CL/P.

  9. A functional SNP associated with atopic dermatitis controls cell type-specific methylation of the VSTM1 gene locus

    OpenAIRE

    Kumar, Dilip; Puan, Kia Joo; Andiappan, Anand Kumar; Lee, Bernett; Geertje H A Westerlaken; Haase, Doreen; Melchiotti, Rossella; Li, Zhuang; Yusof, Nurhashikin; Lum, Josephine; Koh, Geraldine; Foo, Shihui; Yeong, Joe; Alves, Alexessander da Silva Couto; Pekkanen, Juha

    2017-01-01

    Background Expression quantitative trait loci (eQTL) databases represent a valuable resource to link disease-associated SNPs to specific candidate genes whose gene expression is significantly modulated by the SNP under investigation. We previously identified signal inhibitory receptor on leukocytes-1 (SIRL-1) as a powerful regulator of human innate immune cell function. While it is constitutively high expressed on neutrophils, on monocytes the SIRL-1 surface expression varies strongly between...

  10. High-throughput gene and SNP discovery in Eucalyptus grandis, an uncharacterized genome

    Directory of Open Access Journals (Sweden)

    Pappas Georgios J

    2008-06-01

    Full Text Available Abstract Background Benefits from high-throughput sequencing using 454 pyrosequencing technology may be most apparent for species with high societal or economic value but few genomic resources. Rapid means of gene sequence and SNP discovery using this novel sequencing technology provide a set of baseline tools for genome-level research. However, it is questionable how effective the sequencing of large numbers of short reads for species with essentially no prior gene sequence information will support contig assemblies and sequence annotation. Results With the purpose of generating the first broad survey of gene sequences in Eucalyptus grandis, the most widely planted hardwood tree species, we used 454 technology to sequence and assemble 148 Mbp of expressed sequences (EST. EST sequences were generated from a normalized cDNA pool comprised of multiple tissues and genotypes, promoting discovery of homologues to almost half of Arabidopsis genes, and a comprehensive survey of allelic variation in the transcriptome. By aligning the sequencing reads from multiple genotypes we detected 23,742 SNPs, 83% of which were validated in a sample. Genome-wide nucleotide diversity was estimated for 2,392 contigs using a modified theta (θ parameter, adapted for measuring genetic diversity from polymorphisms detected by randomly sequencing a multi-genotype cDNA pool. Diversity estimates in non-synonymous nucleotides were on average 4x smaller than in synonymous, suggesting purifying selection. Non-synonymous to synonymous substitutions (Ka/Ks among 2,001 contigs averaged 0.30 and was skewed to the right, further supporting that most genes are under purifying selection. Comparison of these estimates among contigs identified major functional classes of genes under purifying and diversifying selection in agreement with previous researches. Conclusion In providing an abundance of foundational transcript sequences where limited prior genomic information existed, this

  11. High-Throughput DNA Array for SNP Detection of KRAS Gene Using a Centrifugal Microfluidic Device.

    Science.gov (United States)

    Sedighi, Abootaleb; Li, Paul C H

    2016-01-01

    Here, we describe detection of single nucleotide polymorphism (SNP) in genomic DNA samples using a NanoBioArray (NBA) chip. Fast DNA hybridization is achieved in the chip when target DNAs are introduced to the surface-arrayed probes using centrifugal force. Gold nanoparticles (AuNPs) are used to assist SNP detection at room temperature. The parallel setting of sample introduction in the spiral channels of the NBA chip enables multiple analyses on many samples, resulting in a technique appropriate for high-throughput SNP detection. The experimental procedure, including chip fabrication, probe array printing, DNA amplification, hybridization, signal detection, and data analysis, is described in detail.

  12. Identification of genes with nonsynonymous SNP in Jeju horse by whole-genome resequencing reveals a functional role for immune response.

    Science.gov (United States)

    Lee, J-H; Song, K-D; Kim, J-M; Leem, H-K; Park, K-D

    2016-03-01

    Jeju horse (Natural Monument number 347) is a breed of horse that has experienced long-term isolation and domestication in Jeju Island, South Korea. We evaluated genetic features of this breed, including SNP, by whole-genome resequencing using an Illumina HiSeq 2000. A total of 5,986,852 SNP were identified in 4 Jeju horses and were divided into homozygous and heterozygous SNP (2,357,099 and 3,629,753 SNP, respectively). It revealed that 63.8% of these SNP resided in intergenic regions. Immune response genes with nonsynonymous SNP were overrepresented in Jeju horses as evidenced by Gene Ontology clustering. Among these genes, Toll-like receptors (TLR) are highly enriched. Comparing TLR genes between Jeju horses and the Przewalski's horse, and genes showed "possibly damaging" mutations in several regions by analysis with PolyPhen-2. These results provide a framework for further genetic studies in Jeju horse by domestication. Furthermore, research on functions of SNP-associated genes would aid in understanding the molecular genetic variation of horse breeds.

  13. [New SNP markers of the honeybee vitellogenin gene (Vg) used for identification of subspecies Apis mellifera mellifera L].

    Science.gov (United States)

    Ilyasov, R A; Poskryakov, A V; Nikolenko, A G

    2015-02-01

    Preservation of the gene pool of honeybee subspecies Apis mellifera mellifera is of vital importance for successful beekeeping development in the northern regions of Eurasia. An effective method of genotyping honeybee colonies used in modern science is the mapping of sites of single nucleotide polymorphism (SNP). The honeybee vitellogenin gene (Vg) encodes a protein that affects reproductive function, behavior, immunity, longevity, and social organization in the honeybee Apis mellifera and is therefore a topical research subject. The results of comparative analysis of honeybee Vg sequences show that there are 26 SNP sites that differentiate M and C evolutionary branches and can be used as markers in selective breeding, DNA-barcoding, and the creation of genetic passports for A. m. mellifera colonies.

  14. Large-scale development of gene-associated SNP markers for linkage mapping in perennial ryegrass (Lolium perenne L.)

    DEFF Research Database (Denmark)

    Studer, Bruno; Nielsen, Rasmus Ory; Panitz, Frank;

    2011-01-01

    a clear cluster separation. An additional 83 (12%) were monomorphic. A total of 513 gene-associated SNPs were available for linkage mapping, out of which 495 (64% of the total 768 SNPs on the array) were successfully mapped in the VrnA population. The current VrnA map contains a total of 837 DNA markers......-assisted breeding strategies, a surprisingly low number of validated SNPs are currently available in perennial ryegrass. The advent of next generation sequencing opened up the opportunity for efficient and high throughput in silico SNP discovery in absence of a reference genome sequence. However, the percentages...... of 768 SNP markers were selected for GoldenGate genotyping on 181 individuals of the perennial ryegrass mapping population VrnA, which has been previously evaluated for important agronomic traits. A total of 692 (90%) of the 768 SNPs tested were successfully called. Of these, 96 (14%) did not reveal...

  15. A Nonsynonymous SNP Catalog of Mycobacterium tuberculosis Virulence Genes and Its Use for Detecting New Potentially Virulent Sublineages

    Science.gov (United States)

    Mikheecheva, Natalya E.; Zaychikova, Marina V.; Melerzanov, Alexander V.

    2017-01-01

    Mycobacterium tuberculosis is divided into several distinct lineages, and various genetic markers such as IS-elements, VNTR, and SNPs are used for lineage identification. We propose an M. tuberculosis classification approach based on functional polymorphisms in virulence genes. An M. tuberculosis virulence genes catalog has been established, including 319 genes from various protein groups, such as proteases, cell wall proteins, fatty acid and lipid metabolism proteins, sigma factors, toxin–antitoxin systems. Another catalog of 1,573 M. tuberculosis isolates of different lineages has been developed. The developed SNP-calling program has identified 3,563 nonsynonymous SNPs. The constructed SNP-based phylogeny reflected the evolutionary relationship between lineages and detected new sublineages. SNP analysis of sublineage F15/LAM4/KZN revealed four lineage-specific mutations in cyp125, mce3B, vapC25, and vapB34. The Ural lineage has been divided into two geographical clusters based on different SNPs in virulence genes. A new sublineage, B0/N-90, was detected inside the Beijing-B0/W-148 by SNPs in irtB, mce3F and vapC46. We have found 27 members of B0/N-90 among the 227 available genomes of the Beijing-B0/W-148 sublineage. Whole-genome sequencing of strain B9741, isolated from an HIV-positive patient, was demonstrated to belong to the new B0/N-90 group. A primer set for PCR detection of B0/N-90 lineage-specific mutations has been developed. The prospective use of mce3 mutant genes as genetically engineered vaccine is discussed. PMID:28338924

  16. A Nonsynonymous SNP Catalog of Mycobacterium tuberculosis Virulence Genes and Its Use for Detecting New Potentially Virulent Sublineages.

    Science.gov (United States)

    Mikheecheva, Natalya E; Zaychikova, Marina V; Melerzanov, Alexander V; Danilenko, Valery N

    2017-04-01

    Mycobacterium tuberculosis is divided into several distinct lineages, and various genetic markers such as IS-elements, VNTR, and SNPs are used for lineage identification. We propose an M. tuberculosis classification approach based on functional polymorphisms in virulence genes. An M. tuberculosis virulence genes catalog has been established, including 319 genes from various protein groups, such as proteases, cell wall proteins, fatty acid and lipid metabolism proteins, sigma factors, toxin-antitoxin systems. Another catalog of 1,573 M. tuberculosis isolates of different lineages has been developed. The developed SNP-calling program has identified 3,563 nonsynonymous SNPs. The constructed SNP-based phylogeny reflected the evolutionary relationship between lineages and detected new sublineages. SNP analysis of sublineage F15/LAM4/KZN revealed four lineage-specific mutations in cyp125, mce3B, vapC25, and vapB34. The Ural lineage has been divided into two geographical clusters based on different SNPs in virulence genes. A new sublineage, B0/N-90, was detected inside the Beijing-B0/W-148 by SNPs in irtB, mce3F and vapC46. We have found 27 members of B0/N-90 among the 227 available genomes of the Beijing-B0/W-148 sublineage. Whole-genome sequencing of strain B9741, isolated from an HIV-positive patient, was demonstrated to belong to the new B0/N-90 group. A primer set for PCR detection of B0/N-90 lineage-specific mutations has been developed. The prospective use of mce3 mutant genes as genetically engineered vaccine is discussed. © The Author(s) 2017. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.

  17. SNP- and haplotype analysis of the tryptophan hydroxylase 2 gene in alcohol-dependent patients and alcohol-related suicide.

    Science.gov (United States)

    Zill, Peter; Preuss, Ulrich W; Koller, Gabrielle; Bondy, Brigitta; Soyka, Michael

    2007-08-01

    Several lines of evidence indicate that disturbances of the central serotonergic system are involved in the pathophysiology of alcohol dependence and suicidal behavior. Recent studies have indicated that a newly identified second isoform of the tryptophan hydroxylase gene (TPH2) is preferentially involved in the rate limiting synthesis of neuronal serotonin. Genetic variations in the TPH2 gene have been associated with an increased risk for major depression and suicidal behavior. We performed single SNP (single nucleotide polymorphism), linkage disequilibrium and haplotype studies on 353 alcohol-dependent patients of whom 102 individuals had a history of at least one suicide attempt and 305 healthy controls with 20 SNPs covering the entire gene region of TPH2. Neither single SNP-, nor haplotype analysis could detect significant associations with alcohol dependence and/or suicidal behavior among alcohol-dependent patients. One major haplotype block of strong linkage disequilibrium between introns 5 and 8 of the TPH2 gene has been found in alcoholics and controls, which is in concordance with recent reports. In conclusion, our results suggest that single SNPs, respectively, haplotypes of the TPH2 gene are unlikely to play a major role in the pathophysiology of alcohol dependence or the alcoholism-related phenotype suicidal behavior. Further analysis are needed to confirm these results.

  18. A systematic evaluation of short tandem repeats in lipid candidate genes: riding on the SNP-wave.

    Directory of Open Access Journals (Sweden)

    Claudia Lamina

    Full Text Available Structural genetic variants as short tandem repeats (STRs are not targeted in SNP-based association studies and thus, their possible association signals are missed. We systematically searched for STRs in gene regions known to contribute to total cholesterol, HDL cholesterol, LDL cholesterol and triglyceride levels in two independent studies (KORA F4, n = 2553 and SAPHIR, n = 1648, resulting in 16 STRs that were finally evaluated. In a combined dataset of both studies, the sum of STR alleles was regressed on each phenotype, adjusted for age and sex. The association analyses were repeated for SNPs in a 200 kb region surrounding the respective STRs in the KORA F4 Study. Three STRs were significantly associated with total cholesterol (within LDLR, the APOA1/C3/A4/A5/BUD13 gene region and ABCG5/8, five with HDL cholesterol (3 within CETP, one in LPL and one inAPOA1/C3/A4/A5/BUD13, three with LDL cholesterol (LDLR, ABCG5/8 and CETP and two with triglycerides (APOA1/C3/A4/A5/BUD13 and LPL. None of the investigated STRs, however, showed a significant association after adjusting for the lead or adjacent SNPs within that gene region. The evaluated STRs were found to be well tagged by the lead SNP within the respective gene regions. Therefore, the STRs reflect the association signals based on surrounding SNPs. In conclusion, none of the STRs contributed additionally to the SNP-based association signals identified in GWAS on lipid traits.

  19. A Systematic Evaluation of Short Tandem Repeats in Lipid Candidate Genes: Riding on the SNP-Wave

    Science.gov (United States)

    Lamina, Claudia; Haun, Margot; Coassin, Stefan; Kloss-Brandstätter, Anita; Gieger, Christian; Peters, Annette; Grallert, Harald; Strauch, Konstantin; Meitinger, Thomas; Kedenko, Lyudmyla; Paulweber, Bernhard; Kronenberg, Florian

    2014-01-01

    Structural genetic variants as short tandem repeats (STRs) are not targeted in SNP-based association studies and thus, their possible association signals are missed. We systematically searched for STRs in gene regions known to contribute to total cholesterol, HDL cholesterol, LDL cholesterol and triglyceride levels in two independent studies (KORA F4, n = 2553 and SAPHIR, n = 1648), resulting in 16 STRs that were finally evaluated. In a combined dataset of both studies, the sum of STR alleles was regressed on each phenotype, adjusted for age and sex. The association analyses were repeated for SNPs in a 200 kb region surrounding the respective STRs in the KORA F4 Study. Three STRs were significantly associated with total cholesterol (within LDLR, the APOA1/C3/A4/A5/BUD13 gene region and ABCG5/8), five with HDL cholesterol (3 within CETP, one in LPL and one inAPOA1/C3/A4/A5/BUD13), three with LDL cholesterol (LDLR, ABCG5/8 and CETP) and two with triglycerides (APOA1/C3/A4/A5/BUD13 and LPL). None of the investigated STRs, however, showed a significant association after adjusting for the lead or adjacent SNPs within that gene region. The evaluated STRs were found to be well tagged by the lead SNP within the respective gene regions. Therefore, the STRs reflect the association signals based on surrounding SNPs. In conclusion, none of the STRs contributed additionally to the SNP-based association signals identified in GWAS on lipid traits. PMID:25050552

  20. Functional analysis of deep intronic SNP rs13438494 in intron 24 of PCLO gene.

    Directory of Open Access Journals (Sweden)

    Seunghee Seo

    Full Text Available The single nucleotide polymorphism (SNP rs13438494 in intron 24 of PCLO was significantly associated with bipolar disorder in a meta-analysis of genome-wide association studies. In this study, we performed functional minigene analysis and bioinformatics prediction of splicing regulatory sequences to characterize the deep intronic SNP rs13438494. We constructed minigenes with A and C alleles containing exon 24, intron 24, and exon 25 of PCLO to assess the genetic effect of rs13438494 on splicing. We found that the C allele of rs13438494 reduces the splicing efficiency of the PCLO minigene. In addition, prediction analysis of enhancer/silencer motifs using the Human Splice Finder web tool indicated that rs13438494 induces the abrogation or creation of such binding sites. Our results indicate that rs13438494 alters splicing efficiency by creating or disrupting a splicing motif, which functions by binding of splicing regulatory proteins, and may ultimately result in bipolar disorder in affected people.

  1. Evaluating HapMap SNP data transferability in a large-scale genotyping project involving 175 cancer-associated genes.

    Science.gov (United States)

    Ribas, Gloria; González-Neira, Anna; Salas, Antonio; Milne, Roger L; Vega, Ana; Carracedo, Begoña; González, Emilio; Barroso, Eva; Fernández, Lara P; Yankilevich, Patricio; Robledo, Mercedes; Carracedo, Angel; Benítez, Javier

    2006-02-01

    One of the many potential uses of the HapMap project is its application to the investigation of complex disease aetiology among a wide range of populations. This study aims to assess the transferability of HapMap SNP data to the Spanish population in the context of cancer research. We have carried out a genotyping study in Spanish subjects involving 175 candidate cancer genes using an indirect gene-based approach and compared results with those for HapMap CEU subjects. Allele frequencies were very consistent between the two samples, with a high positive correlation (R) of 0.91 (PHapMap CEU data using pairwise r (2) thresholds of 0.8 and 0.5 was assessed by applying these to the Spanish and current HapMap data for 66 genes. In general, the HapMap tagSNPs performed very well. Our results show generally high concordance with HapMap data in allele frequencies and haplotype distributions and confirm the applicability of HapMap SNP data to the study of complex diseases among the Spanish population.

  2. Rapid gene-based SNP and haplotype marker development in non-model eukaryotes using 3'UTR sequencing

    Directory of Open Access Journals (Sweden)

    Koepke Tyson

    2012-01-01

    Full Text Available Abstract Background Sweet cherry (Prunus avium L., a non-model crop with narrow genetic diversity, is an important member of sub-family Amygdoloideae within Rosaceae. Compared to other important members like peach and apple, sweet cherry lacks in genetic and genomic information, impeding understanding of important biological processes and development of efficient breeding approaches. Availability of single nucleotide polymorphism (SNP-based molecular markers can greatly benefit breeding efforts in such non-model species. RNA-seq approaches employing second generation sequencing platforms offer a unique avenue to rapidly identify gene-based SNPs. Additionally, haplotype markers can be rapidly generated from transcript-based SNPs since they have been found to be extremely utile in identification of genetic variants related to health, disease and response to environment as highlighted by the human HapMap project. Results RNA-seq was performed on two sweet cherry cultivars, Bing and Rainier using a 3' untranslated region (UTR sequencing method yielding 43,396 assembled contigs. In order to test our approach of rapid identification of SNPs without any reference genome information, over 25% (10,100 of the contigs were screened for the SNPs. A total of 207 contigs from this set were identified to contain high quality SNPs. A set of 223 primer pairs were designed to amplify SNP containing regions from these contigs and high resolution melting (HRM analysis was performed with eight important parental sweet cherry cultivars. Six of the parent cultivars were distantly related to Bing and Rainier, the cultivars used for initial SNP discovery. Further, HRM analysis was also performed on 13 seedlings derived from a cross between two of the parents. Our analysis resulted in the identification of 84 (38.7% primer sets that demonstrated variation among the tested germplasm. Reassembly of the raw 3'UTR sequences using upgraded transcriptome assembly software

  3. Calmodulin-like protein 3 is an estrogen receptor alpha coregulator for gene expression and drug response in a SNP, estrogen, and SERM-dependent fashion.

    Science.gov (United States)

    Qin, Sisi; Ingle, James N; Liu, Mohan; Yu, Jia; Wickerham, D Lawrence; Kubo, Michiaki; Weinshilboum, Richard M; Wang, Liewei

    2017-08-18

    We previously performed a case-control genome-wide association study in women treated with selective estrogen receptor modulators (SERMs) for breast cancer prevention and identified single nucleotide polymorphisms (SNPs) in ZNF423 as potential biomarkers for response to SERM therapy. The ZNF423rs9940645 SNP, which is approximately 200 bp away from the estrogen response elements, resulted in the SNP, estrogen, and SERM-dependent regulation of ZNF423 expression and, "downstream", that of BRCA1. Electrophoretic mobility shift assay-mass spectrometry was performed to identify proteins binding to the ZNF423 SNP and coordinating with estrogen receptor alpha (ERα). Clustered, regularly interspaced short palindromic repeats (CRISPR)/Cas9 genome editing was applied to generate ZR75-1 breast cancer cells with different ZNF423 SNP genotypes. Both cultured cells and mouse xenograft models with different ZNF423 SNP genotypes were used to study the cellular responses to SERMs and poly(ADP-ribose) polymerase (PARP) inhibitors. We identified calmodulin-like protein 3 (CALML3) as a key sensor of this SNP and a coregulator of ERα, which contributes to differential gene transcription regulation in an estrogen and SERM-dependent fashion. Furthermore, using CRISPR/Cas9-engineered ZR75-1 breast cancer cells with different ZNF423 SNP genotypes, striking differences in cellular responses to SERMs and PARP inhibitors, alone or in combination, were observed not only in cells but also in a mouse xenograft model. Our results have demonstrated the mechanism by which the ZNF423 rs9940645 SNP might regulate gene expression and drug response as well as its potential role in achieving more highly individualized breast cancer therapy.

  4. Meta-analysis diagnostic accuracy of SNP-based pathogenicity detection tools: a case of UTG1A1 gene mutations.

    Science.gov (United States)

    Galehdari, Hamid; Saki, Najmaldin; Mohammadi-Asl, Javad; Rahim, Fakher

    2013-01-01

    Crigler-Najjar syndrome (CNS) type I and type II are usually inherited as autosomal recessive conditions that result from mutations in the UGT1A1 gene. The main objective of the present review is to summarize results of all available evidence on the accuracy of SNP-based pathogenicity detection tools compared to published clinical result for the prediction of in nsSNPs that leads to disease using prediction performance method. A comprehensive search was performed to find all mutations related to CNS. Database searches included dbSNP, SNPdbe, HGMD, Swissvar, ensemble, and OMIM. All the mutation related to CNS was extracted. The pathogenicity prediction was done using SNP-based pathogenicity detection tools include SIFT, PHD-SNP, PolyPhen2, fathmm, Provean, and Mutpred. Overall, 59 different SNPs related to missense mutations in the UGT1A1 gene, were reviewed. Comparing the diagnostic OR, PolyPhen2 and Mutpred have the highest detection 4.983 (95% CI: 1.24 - 20.02) in both, following by SIFT (diagnostic OR: 3.25, 95% CI: 1.07 - 9.83). The highest MCC of SNP-based pathogenicity detection tools, was belong to SIFT (34.19%) followed by Provean, PolyPhen2, and Mutpred (29.99%, 29.89%, and 29.89%, respectively). Hence the highest SNP-based pathogenicity detection tools ACC, was fit to SIFT (62.71%) followed by PolyPhen2, and Mutpred (61.02%, in both). Our results suggest that some of the well-established SNP-based pathogenicity detection tools can appropriately reflect the role of a disease-associated SNP in both local and global structures.

  5. Association analysis of the FTO gene with obesity in children of Caucasian and African ancestry reveals a common tagging SNP.

    Directory of Open Access Journals (Sweden)

    Struan F A Grant

    Full Text Available Recently an association was demonstrated between the single nucleotide polymorphism (SNP, rs9939609, within the FTO locus and obesity as a consequence of a genome wide association (GWA study of type 2 diabetes in adults. We examined the effects of two perfect surrogates for this SNP plus 11 other SNPs at this locus with respect to our childhood obesity cohort, consisting of both Caucasians and African Americans (AA. Utilizing data from our ongoing GWA study in our cohort of 418 Caucasian obese children (BMI>or=95th percentile, 2,270 Caucasian controls (BMI<95th percentile, 578 AA obese children and 1,424 AA controls, we investigated the association of the previously reported variation at the FTO locus with the childhood form of this disease in both ethnicities. The minor allele frequencies (MAF of rs8050136 and rs3751812 (perfect surrogates for rs9939609 i.e. both r(2 = 1 in the Caucasian cases were 0.448 and 0.443 respectively while they were 0.391 and 0.386 in Caucasian controls respectively, yielding for both an odds ratio (OR of 1.27 (95% CI 1.08-1.47; P = 0.0022. Furthermore, the MAFs of rs8050136 and rs3751812 in the AA cases were 0.449 and 0.115 respectively while they were 0.436 and 0.090 in AA controls respectively, yielding an OR of 1.05 (95% CI 0.91-1.21; P = 0.49 and of 1.31 (95% CI 1.050-1.643; P = 0.017 respectively. Investigating all 13 SNPs present on the Illumina HumanHap550 BeadChip in this region of linkage disequilibrium, rs3751812 was the only SNP conferring significant risk in AA. We have therefore replicated and refined the association in an AA cohort and distilled a tag-SNP, rs3751812, which captures the ancestral origin of the actual mutation. As such, variants in the FTO gene confer a similar magnitude of risk of obesity to children as to their adult counterparts and appear to have a global impact.

  6. Model of personalised risk assessment of phytoestrogen intake based on 11 SNP in ESR1 and ESR2 genes

    Directory of Open Access Journals (Sweden)

    Radoslav Zidek

    2016-12-01

    Full Text Available Phytoestrogens can induce biological responses in vertebrates by mimicking or modulating the action or production of endogenous hormones, and because of their structural similarity with estradiol they have the ability to cause estrogenic or anti-estrogenic effects. Risk assessment of phytoestrogens intake may therefore provide important information useful in the adjustment of nutrients composition, as one of nutrigenomics approaches. Proper risk assessment is an essential part of good nutrient composition. The current risk assessment procedures does use an additive effect of genes, but the accumulation of relevant factors do not count with the distribution of risk in the European population. A combination of approaches based on genetic score, along with the use of the data bases like 1000 genomes and dbSNP is a powerful tool for population risk modelling that would provide reasonable results without needs of as testing a representative number of individual genetic profiles.

  7. Candidate SNP Markers of Chronopathologies Are Predicted by a Significant Change in the Affinity of TATA-Binding Protein for Human Gene Promoters

    Directory of Open Access Journals (Sweden)

    Petr Ponomarenko

    2016-01-01

    Full Text Available Variations in human genome (e.g., single nucleotide polymorphisms, SNPs may be associated with hereditary diseases, their complications, comorbidities, and drug responses. Using Web service SNP_TATA_Comparator presented in our previous paper, here we analyzed immediate surroundings of known SNP markers of diseases and identified several candidate SNP markers that can significantly change the affinity of TATA-binding protein for human gene promoters, with circadian consequences. For example, rs572527200 may be related to asthma, where symptoms are circadian (worse at night, and rs367732974 may be associated with heart attacks that are characterized by a circadian preference (early morning. By the same method, we analyzed the 90 bp proximal promoter region of each protein-coding transcript of each human gene of the circadian clock core. This analysis yielded 53 candidate SNP markers, such as rs181985043 (susceptibility to acute Q fever in male patients, rs192518038 (higher risk of a heart attack in patients with diabetes, and rs374778785 (emphysema and lung cancer in smokers. If they are properly validated according to clinical standards, these candidate SNP markers may turn out to be useful for physicians (to select optimal treatment for each patient and for the general population (to choose a lifestyle preventing possible circadian complications of diseases.

  8. Strong effect of SNP rs4988300 of the LRP5 gene on bone phenotype of Caucasian postmenopausal women.

    Science.gov (United States)

    Horváth, Péter; Balla, Bernadett; Kósa, János P; Tóbiás, Bálint; Szili, Balázs; Kirschner, Gyöngyi; Győri, Gabriella; Kató, Karina; Lakatos, Péter; Takács, István

    2016-01-01

    The purpose of this study was to identify relationships between single nucleotide polymorphisms (SNPs) in the genes of the Wnt pathway and bone mineral density (BMD) of postmenopausal women. We chose this pathway due to its importance in bone metabolism that was underlined in several studies. DNA samples of 932 Hungarian postmenopausal women were studied. First, their BMD values at different sites (spine, total hip) were measured, using a Lunar Prodigy DXA scanner. Thereafter, T-score values and the patients' body mass indices (BMIs) were calculated, while information about the fracture history of the sample population was also collected. We genotyped nine SNPs of the following three genes: LRP5, GPR177, and SP7, using a Sequenom MassARRAY Analyzer 4 instrument. The genomic DNA samples used for genotyping were extracted from the buccal mucosa of the subjects. Statistical analyses were carried out using the SPSS 21 and R package. The results of this analysis showed a significant association between SNP rs4988300 of the LRP5 gene and total hip BMD values. We could not reveal any associations between the markers of GPR177, SP7, and bone phenotypes. We found no effect of these genotypes on fracture risk. We could demonstrate a significant gene-gene interaction between two SNPs of LRP5 (rs4988300 and rs634008, p = 0.009) which was lost after Bonferroni correction. We could firmly demonstrate a significant association between rs4988300 of the LRP5 gene and bone density of the hip on the largest homogeneous postmenopausal study group analyzed to date. Our finding corroborates the relationship between LRP5 genotype and bone phenotype in postmenopausal women, however, the complete mechanism of this relationship requires further investigations.

  9. The ADH gene cluster SNP rs1789891 and temperamental dimensions in patients with alcohol dependence and affective disorders.

    Science.gov (United States)

    Oniszczenko, Włodzimierz; Rybakowski, Janusz K; Dragan, Wojciech Ł; Grzywacz, Anna; Samochowiec, Jerzy

    2015-08-01

    This study had three objectives: (1) to assess the relationship between the single nucleotide polymorphism (SNP) rs1789891 in the alcohol dehydrogenase gene cluster and alcohol dependence and affective disorders; (2) to assess the differences in the Regulative Theory of Temperament (RTT) traits between an alcohol dependent group, an affective disorders group, and a healthy group; and (3) to assess the relationship between rs1789891 and temperament traits in a healthy group, taking into account the interaction of genotype and sex. The SNP rs1789891 was genotyped in a group of 194 alcohol dependent men, aged 21 to 71 years; 137 patients with affective disorders, including 51 males and 86 females, aged 19 to 85 years; and a group of 207 healthy individuals, including 89 males and 118 females, aged 18 to 71 years. Temperament traits (briskness, perseveration, sensory sensitivity, emotional reactivity, endurance, and activity) were assessed in all groups using the Formal Characteristics of Behaviour-Temperament Inventory. The comparative analysis of genotypic frequencies showed no significant differences between patients with alcoholism or affective disorders and those in the control group. Alcohol dependent men and the affective disorder group were characterised by higher levels of emotional reactivity (p-value 1.4e-5 and 9.84e-7, respectively) and lower levels of briskness, sensory sensitivity, endurance, and activity (p-value from 3.76e-8 to 0.012) when compared to the healthy group. The rs1789891 polymorphism was associated with briskness (p = 0.02), sensory sensitivity (p = 0.036), and activity (p = 0.049). None of the results were statistically significant after Bonferroni correction.

  10. Rapid detection of SNP (c.309T>G in the MDM2 gene by the Duplex SmartAmp method.

    Directory of Open Access Journals (Sweden)

    Yasuaki Enokida

    Full Text Available BACKGROUND: Genetic polymorphisms in the human MDM2 gene are suggested to be a tumor susceptibility marker and a prognostic factor for cancer. It has been reported that a single nucleotide polymorphism (SNP c.309T>G in the MDM2 gene attenuates the tumor suppressor activity of p53 and accelerates tumor formation in humans. METHODOLOGY: In this study, to detect the SNP c.309T>G in the MDM2 gene, we have developed a new SNP detection method, named "Duplex SmartAmp," which enabled us to simultaneously detect both 309T and 309G alleles in one tube. To develop this new method, we introduced new primers i.e., nBP and oBPs, as well as two different fluorescent dyes that separately detect those genetic polymorphisms. RESULTS AND CONCLUSIONS: By the Duplex SmartAmp method, the genetic polymorphisms of the MDM2 gene were detected directly from a small amount of genomic DNA or blood samples. We used 96 genomic DNA and 24 blood samples to validate the Duplex SmartAmp by comparison with results of the conventional PCR-RFLP method; consequently, the Duplex SmartAmp results agreed totally with those of the PCR-RFLP method. Thus, the new SNP detection method is considered useful for detecting the SNP c.309T>G in the MDM2 gene so as to judge cancer susceptibility against some cellular stress in the clinical setting, and also to handle a large number of samples and enable rapid clinical diagnosis.

  11. A functional SNP in the regulatory region of the decay-accelerating factor gene associates with extraocular muscle pareses in myasthenia gravis

    KAUST Repository

    Heckmann, J M

    2009-08-13

    Complement activation in myasthenia gravis (MG) may damage muscle endplate and complement regulatory proteins such as decay-accelerating factor (DAF) or CD55 may be protective. We hypothesize that the increased prevalence of severe extraocular muscle (EOM) dysfunction among African MG subjects reported earlier may result from altered DAF expression. To test this hypothesis, we screened the DAF gene sequences relevant to the classical complement pathway and found an association between myasthenics with EOM paresis and the DAF regulatory region c.-198CG SNP (odds ratio8.6; P0.0003). This single nucleotide polymorphism (SNP) results in a twofold activation of a DAF 5?-flanking region luciferase reporter transfected into three different cell lines. Direct matching of the surrounding SNP sequence within the DAF regulatory region with the known transcription factor-binding sites suggests a loss of an Sp1-binding site. This was supported by the observation that the c.-198CG SNP did not show the normal lipopolysaccharide-induced DAF transcriptional upregulation in lymphoblasts from four patients. Our findings suggest that at critical periods during autoimmune MG, this SNP may result in inadequate DAF upregulation with consequent complement-mediated EOM damage. Susceptible individuals may benefit from anti-complement therapy in addition to immunosuppression. © 2010 Macmillan Publishers Limited. All rights reserved.

  12. A functional SNP in the regulatory region of the decay-accelerating factor gene associates with extraocular muscle pareses in myasthenia gravis.

    Science.gov (United States)

    Heckmann, J M; Uwimpuhwe, H; Ballo, R; Kaur, M; Bajic, V B; Prince, S

    2010-01-01

    Complement activation in myasthenia gravis (MG) may damage muscle endplate and complement regulatory proteins such as decay-accelerating factor (DAF) or CD55 may be protective. We hypothesize that the increased prevalence of severe extraocular muscle (EOM) dysfunction among African MG subjects reported earlier may result from altered DAF expression. To test this hypothesis, we screened the DAF gene sequences relevant to the classical complement pathway and found an association between myasthenics with EOM paresis and the DAF regulatory region c.-198C>G SNP (odds ratio=8.6; P=0.0003). This single nucleotide polymorphism (SNP) results in a twofold activation of a DAF 5'-flanking region luciferase reporter transfected into three different cell lines. Direct matching of the surrounding SNP sequence within the DAF regulatory region with the known transcription factor-binding sites suggests a loss of an Sp1-binding site. This was supported by the observation that the c.-198C>G SNP did not show the normal lipopolysaccharide-induced DAF transcriptional upregulation in lymphoblasts from four patients. Our findings suggest that at critical periods during autoimmune MG, this SNP may result in inadequate DAF upregulation with consequent complement-mediated EOM damage. Susceptible individuals may benefit from anti-complement therapy in addition to immunosuppression.

  13. The T687G SNP in a P-glycoprotein gene of Fasciola hepatica is not associated with resistance to triclabendazole in two resistant Australian populations.

    Science.gov (United States)

    Elliott, Timothy P; Spithill, Terry W

    2014-11-01

    Triclabendazole (TCBZ) is widely used for control of Fasciola hepatica (liver fluke) in animals and humans and resistance to this drug is now widespread. However, the mechanism of resistance to TCBZ is not known. A T687G single nucleotide polymorphism (SNP) in a P-glycoprotein gene was proposed as a molecular marker for TCBZ resistance in F. hepatica (Wilkinson et al., 2012). We analyzed this Pgp gene from TCBZ-susceptible and TCBZ-resistant populations from Australia to determine if the SNP was a marker for TCBZ resistance. From the 21 parasites studied we observed 27 individual haplotypes in the Pgp sequences which comprised seven haplotypic groups (A-G), with haplotypes A and B representing 81% of the total observed. The T687G SNP was not observed in either of the resistant or susceptible populations. We conclude that the T687G SNP in this Pgp gene is not associated with TCBZ resistance in these Australian F. hepatica populations and therefore unlikely to be a universal molecular marker for TCBZ resistance.

  14. Androgen regulation of the TMPRSS2 gene and the effect of a SNP in an androgen response element.

    Science.gov (United States)

    Clinckemalie, Liesbeth; Spans, Lien; Dubois, Vanessa; Laurent, Michaël; Helsen, Christine; Joniau, Steven; Claessens, Frank

    2013-12-01

    More than 50% of prostate cancers have undergone a genomic reorganization that juxtaposes the androgen-regulated promoter of TMPRSS2 and the protein coding parts of several ETS oncogenes. These gene fusions lead to prostate-specific and androgen-induced ETS expression and are associated with aggressive lesions, poor prognosis, and early-onset prostate cancer. In this study, we showed that an enhancer at 13 kb upstream of the TMPRSS2 transcription start site is crucial for the androgen regulation of the TMPRSS2 gene when tested in bacterial artificial chromosomal vectors. Within this enhancer, we identified the exact androgen receptor binding sequence. This newly identified androgen response element is situated next to two binding sites for the pioneer factor GATA2, which were identified by DNase I footprinting. Both the androgen response element and the GATA-2 binding sites are involved in the enhancer activity. Importantly, a single nucleotide polymorphism (rs8134378) within this androgen response element reduces binding and transactivation by the androgen receptor. The presence of this SNP might have implications on the expression and/or formation levels of TMPRSS2 fusions, because both have been shown to be influenced by androgens.

  15. Study of the Association between SNP8NRG241930 in the 5’ End of Neuroglin 1 Gene with Schizophrenia in a Group of Iranian Patients

    Directory of Open Access Journals (Sweden)

    Seyed Ali Mohamad Shariati

    2011-01-01

    Full Text Available Objective: Neuregulin1 (NRG1 gene is among the most promising candidate genes forschizophrenia. This gene is located on 8p22-p12, a region with a reported linkage to schizophrenia.Several studies have reported an association between schizophrenia and the5′ end polymorphisms in this gene. However, some studies have failed to confirm the roleof NRG1 gene in the pathogenesis of schizophrenia. In the current study, we attempt toexamine the association of SNP8NRG241930 from the NRG1 gene with schizophrenia inan Iranian population. It is noteworthy that there has been no report on the NRG1 associationwith schizophrenia in a population from the Middle East region.Materials and Methods: Genomic DNA samples were obtained via isolation from theperipheral blood cells of 95 unrelated subjects with schizophrenia and 95 matchedhealthy controls from southwest Iran. SNP8NRG241930 was genotyped by PCRRFLPusing ScaI as a restriction endonuclease enzyme. Association of the SNP withschizophrenia was examined using the chi-square test. The frequency difference of allelesand genotypes between the two groups were compared. P≤0.05 was consideredsignificant.Results: Statistical analysis on the studied polymorphism showed that both case and controlgroups were in Hardy-Weinberg equilibrium. The frequency of high risk allele (G allelewas 72.6% in patients, while this number was 56.8% in controls. The genotype frequenciesin the patient group were as follows: GG (54%, GT (38% and TT (8% vs. genotypefrequencies in the control group of: GG (26%, GT (63 % and TT (11%.Conclusion: Considering allele and genotype frequencies, a significant associationwas observed between schizophrenia and SNP8NRG241930. The current study addsweight to the idea that some functional polymorphisms could exist in the 5′ end of theNRG1 gene which increase susceptibility to schizophrenia. This is the first time thatsupportive evidence shows an involvement of the NRG1 locus in schizophrenia in an

  16. Complex nature of SNP genotype effects on gene expression in primary human leucocytes

    NARCIS (Netherlands)

    Heap, Graham A.; Trynka, Gosia; Jansen, Ritsert C.; Bruinenberg, Marcel; Swertz, Morris A.; Dinesen, Lotte C.; Hunt, Karen A.; Wijmenga, Cisca; vanHeel, David A.; Franke, Lude; Heel, David A van

    2009-01-01

    Background: Genome wide association studies have been hugely successful in identifying disease risk variants, yet most variants do not lead to coding changes and how variants influence biological function is usually unknown. Methods: We correlated gene expression and genetic variation in untouched

  17. Association of Intronic Single Nucleotide Polymorphism (SNP of CALM 1 gene with Osteoarthritis of the Knee in Indian Population: A Case-control Study

    Directory of Open Access Journals (Sweden)

    R. N. Srivastava

    2012-01-01

    Full Text Available Osteoarthritis knee is one of the most prevalent disorders in the Indian subcontinent. The wide prevalence and varying features makes it a disease of disguise. Multiple etiological factors have been described. The most recent is genetic contribution in the causation of the disease. This case control study was conducted in the Department of Orthopaedic Surgery, CSM Medical University, Lucknow in collaboration with IIT, Kanpur. 120 cases and 120 controls were enrolled. Clinico-radiological features were noted and symptomatic clinical scoring was done. Genetic polymorphism in relation to intronic region of CALM 1 gene was studied by DNA extraction, Polymerase chain reaction (PCR and Restriction fragment length polymorphism (RFLP method. Statistical analysis was done using Stata software. There was no significant difference between age, sex and BMI among cases and controls (p value > .05. ESR (p value =0.0000, fasting blood sugar (p value= 0.0004 and serum uric acid (p value=0.0001 were significantly different among cases and controls. SNP was found in significantly higher number in cases than controls (p value = .0022. Heterozygosity was found only in 5 cases. Logistic regression has also proved significant association of occurrence of Single Nucleotide Polymorphism (SNP with disease. CALM-1 gene intronic SNP (rs3213718 is present in Indian population. Occurrence of this SNP is significantly affecting the disease.

  18. Are SNP-Smoking Association Studies Needed in Controls? DNA Repair Gene Polymorphisms and Smoking Intensity.

    Science.gov (United States)

    Verde, Zoraida; Reinoso, Luis; Chicharro, Luis Miguel; Resano, Pilar; Sánchez-Hernández, Ignacio; Rodríguez González-Moro, Jose Miguel; Bandrés, Fernando; Gómez-Gallego, Félix; Santiago, Catalina

    2015-01-01

    Variations in tobacco-related cancers, incidence and prevalence reflect differences in tobacco consumption in addition to genetic factors. Besides, genes related to lung cancer risk could be related to smoking behavior. Polymorphisms altering DNA repair capacity may lead to synergistic effects with tobacco carcinogen-induced lung cancer risk. Common problems in genetic association studies, such as presence of gene-by-environment (G x E) correlation in the population, may reduce the validity of these designs. The main purpose of this study was to evaluate the independence assumption for selected SNPs and smoking behaviour in a cohort of 320 healthy Spanish smokers. We found an association between the wild type alleles of XRCC3 Thr241Met or KLC3 Lys751Gln and greater smoking intensity (OR = 12.98, 95% CI = 2.86-58.82 and OR=16.90, 95% CI=2.09-142.8; respectively). Although preliminary, the results of our study provide evidence that genetic variations in DNA-repair genes may influence both smoking habits and the development of lung cancer. Population-specific G x E studies should be carried out when genetic and environmental factors interact to cause the disease.

  19. Are SNP-Smoking Association Studies Needed in Controls? DNA Repair Gene Polymorphisms and Smoking Intensity.

    Directory of Open Access Journals (Sweden)

    Zoraida Verde

    Full Text Available Variations in tobacco-related cancers, incidence and prevalence reflect differences in tobacco consumption in addition to genetic factors. Besides, genes related to lung cancer risk could be related to smoking behavior. Polymorphisms altering DNA repair capacity may lead to synergistic effects with tobacco carcinogen-induced lung cancer risk. Common problems in genetic association studies, such as presence of gene-by-environment (G x E correlation in the population, may reduce the validity of these designs. The main purpose of this study was to evaluate the independence assumption for selected SNPs and smoking behaviour in a cohort of 320 healthy Spanish smokers. We found an association between the wild type alleles of XRCC3 Thr241Met or KLC3 Lys751Gln and greater smoking intensity (OR = 12.98, 95% CI = 2.86-58.82 and OR=16.90, 95% CI=2.09-142.8; respectively. Although preliminary, the results of our study provide evidence that genetic variations in DNA-repair genes may influence both smoking habits and the development of lung cancer. Population-specific G x E studies should be carried out when genetic and environmental factors interact to cause the disease.

  20. Preliminary Study on the Single Nucleotide Polymorphism (SNP of XRCC1 Gene Identificationto Improve the Outcomes of Radiotherapy for Cervical Cancer

    Directory of Open Access Journals (Sweden)

    Devita Tetriana

    2015-09-01

    Full Text Available Cervical cancer is the most fatal disease among Indonesian women. In recognition of the substantial variation in the intrinsic response of individuals to radiation, an effort had been done to identify the genetic markers, primarily Single Nucleotide polymorphisms (SNPs, which are associated with responsiveness of cancer cells to radiation therapy. One of these SNPs is X-ray repair cross-complementing protein 1 (XRCC1 that is one of the most important genes in deoxyribonucleic acid (DNA repair pathways. Meta-analysis in the determination of the association of XRCC1 polymorphisms with cervical cancer revealed the potential role of XRCC1 polymorphisms in predicting cell response to radiotherapy.Our preliminary study with real-time polymerase chain reaction (RT-PCR showed that radiotherapy affected the XRCC1 gene analyzed in blood of cervical cancer patient. Other published study found three SNPs of XRCC1 (Arg194Trp, Arg280His, and Arg399Gln that cause amino acid substitutions. Arg194Trp is only SNPs that associated with high risk of cervical cancer but not others. Additionally, structure and function of this protein can be altered by functional SNPs, which may lead to the susceptibility of individuals to cancers. Anotherstudy found G399A polymorphisms. We concluded that SNP of this DNA repair genes have been found to be good predictors of efficacy of radiotherapy.Kanker serviks adalah penyakit yang paling fatal pada perempuan di Indonesia. Untuk memahami variasi substansial respon intrinsik individual terhadap radiasi, suatu usaha telah dilakukan untuk mengidentifikasi petanda genetik, terutama Single Nucleotide polymorphism (SNP, yang berkaitan dengan responsel kanker terhadap terapi radiasi. Satu dari SNP tersebut adalah X-ray repair cross-complementing protein 1 (XRCC1 yang merupakan satu dari gen paling penting dalam lajur perbaikan asam deoksiribonukleat (DNA. Meta-analysis dalam penentuan hubungan polimorfisme XRCC1 dengan kanker serviks

  1. Preliminary Study on the Single Nucleotide Polymorphism (SNP of XRCC1 Gene Identificationto Improve the Outcomes of Radiotherapy for Cervical Cancer

    Directory of Open Access Journals (Sweden)

    Devita Tetriana

    2015-09-01

    Full Text Available Cervical cancer is the most fatal disease among Indonesian women. In recognition of the substantial variation in the intrinsic response of individuals to radiation, an effort had been done to identify the genetic markers, primarily Single Nucleotide polymorphisms (SNPs, which are associated with responsiveness of cancer cells to radiation therapy. One of these SNPs is X-ray repair cross-complementing protein 1 (XRCC1 that is one of the most important genes in deoxyribonucleic acid (DNA repair pathways. Meta-analysis in the determination of the association of XRCC1 polymorphisms with cervical cancer revealed the potential role of XRCC1 polymorphisms in predicting cell response to radiotherapy.Our preliminary study with real-time polymerase chain reaction (RT-PCR showed that radiotherapy affected the XRCC1 gene analyzed in blood of cervical cancer patient. Other published study found three SNPs of XRCC1 (Arg194Trp, Arg280His, and Arg399Gln that cause amino acid substitutions. Arg194Trp is only SNPs that associated with high risk of cervical cancer but not others. Additionally, structure and function of this protein can be altered by functional SNPs, which may lead to the susceptibility of individuals to cancers. Anotherstudy found G399A polymorphisms. We concluded that SNP of this DNA repair genes have been found to be good predictors of efficacy of radiotherapy.Kanker serviks adalah penyakit yang paling fatal pada perempuan di Indonesia. Untuk memahami variasi substansial respon intrinsik individual terhadap radiasi, suatu usaha telah dilakukan untuk mengidentifikasi petanda genetik, terutama Single Nucleotide polymorphism (SNP, yang berkaitan dengan responsel kanker terhadap terapi radiasi. Satu dari SNP tersebut adalah X-ray repair cross-complementing protein 1 (XRCC1 yang merupakan satu dari gen paling penting dalam lajur perbaikan asam deoksiribonukleat (DNA. Meta-analysis dalam penentuan hubungan polimorfisme XRCC1 dengan kanker serviks

  2. Coverage and characteristics of the Affymetrix GeneChip Human Mapping 100K SNP set.

    Directory of Open Access Journals (Sweden)

    2006-05-01

    Full Text Available Improvements in technology have made it possible to conduct genome-wide association mapping at costs within reach of academic investigators, and experiments are currently being conducted with a variety of high-throughput platforms. To provide an appropriate context for interpreting results of such studies, we summarize here results of an investigation of one of the first of these technologies to be publicly available, the Affymetrix GeneChip Human Mapping 100K set of single nucleotide polymorphisms (SNPs. In a systematic analysis of the pattern and distribution of SNPs in the Mapping 100K set, we find that SNPs in this set are undersampled from coding regions (both nonsynonymous and synonymous and oversampled from regions outside genes, relative to SNPs in the overall HapMap database. In addition, we utilize a novel multilocus linkage disequilibrium (LD coefficient based on information content (analogous to the information content scores commonly used for linkage mapping that is equivalent to the familiar measure r2 in the special case of two loci. Using this approach, we are able to summarize for any subset of markers, such as the Affymetrix Mapping 100K set, the information available for association mapping in that subset, relative to the information available in the full set of markers included in the HapMap, and highlight circumstances in which this multilocus measure of LD provides substantial additional insight about the haplotype structure in a region over pairwise measures of LD.

  3. Effect of ANXA2 gene single nucleotide polymorphism (SNP) on the development of osteonecrosis in Indian sickle cell patient: a PCR-RFLP approach.

    Science.gov (United States)

    Pandey, Sanjay; Ranjan, Ravi; Pandey, Sweta; Mishra, Rahasya Mani; Seth, Tulika; Saxena, Renu

    2012-07-01

    Osteonecrosis is a serious complication in sickle cell patients. The common sites of the necrosis are femoral head, head of the humerus and acetabulam. Annexin A2 (ANXA2) protein mainly functions in bone formation and bone resorption. Alteration of ANXA2 gene may affect the manifestations of osteonecrosis in the patients. PCR-RFLP is a common applicable technique for the detection of known mutation/polymorphisms. Here we are presenting application of the PCR-RFLP technique for determination of the ANXA2 gene single nucleotide polymorphism frequency and their clinical association among Indian sickle cell patients. Five known SNPs of ANXA2 gene (rs7170178, rs73435133, rs73418020, rs72746635 and rs73418025) were determined using the HpyCH4V, DdeI, HpyCH4III and Sau 961 restriction enzyme respectively. Restriction enzyme DdeI was common for rs73435133 and rs72746635 SNP. Only the rs7170178 SNP was detected among patient and control and the other four SNPs were absent in the studied groups. The frequency of ANXA2 gene rs7170178 SNP (A/G, G/G) was comparatively higher in sickle cell patients than controls and it was clinically associated with sickle cell osteonecrosis. The P value of heterozygotes (A/G) and homozygotes (G/G) genotypes were <0.001 and 0.001 respectively, which were highly significant. This study established the application of PCR-RFLP in detection of ANXA2 SNPs in sickle cell patients.

  4. Development and dissection of diagnostic SNP markers for the downy mildew resistance genes Pl Arg and Pl 8 and maker-assisted gene pyramiding in sunflower (Helianthus annuus L.).

    Science.gov (United States)

    Qi, L L; Talukder, Z I; Hulke, B S; Foley, M E

    2017-02-03

    Diagnostic DNA markers are an invaluable resource in breeding programs for successful introgression and pyramiding of disease resistance genes. Resistance to downy mildew (DM) disease in sunflower is mediated by Pl genes which are known to be effective against the causal fungus, Plasmopara halstedii. Two DM resistance genes, Pl Arg and Pl 8 , are highly effective against P. halstedii races in the USA, and have been previously mapped to the sunflower linkage groups (LGs) 1 and 13, respectively, using simple sequence repeat (SSR) markers. In this study, we developed high-density single nucleotide polymorphism (SNP) maps encompassing the Pl arg and Pl 8 genes and identified diagnostic SNP markers closely linked to these genes. The specificity of the diagnostic markers was validated in a highly diverse panel of 548 sunflower lines. Dissection of a large marker cluster co-segregated with Pl Arg revealed that the closest SNP markers NSA_007595 and NSA_001835 delimited Pl Arg to an interval of 2.83 Mb on the LG1 physical map. The SNP markers SFW01497 and SFW06597 delimited Pl 8 to an interval of 2.85 Mb on the LG13 physical map. We also developed sunflower lines with homozygous, three gene pyramids carrying Pl Arg , Pl 8 , and the sunflower rust resistance gene R 12 using the linked SNP markers from a segregating F2 population of RHA 340 (carrying Pl 8 )/RHA 464 (carrying Pl Arg and R 12 ). The high-throughput diagnostic SNP markers developed in this study will facilitate marker-assisted selection breeding, and the pyramided sunflower lines will provide durable resistance to downy mildew and rust diseases.

  5. Using RNA-Seq to assemble a rose transcriptome with more than 13,000 full-length expressed genes and to develop the WagRhSNP 68k Axiom SNP array for rose (Rosa L.

    Directory of Open Access Journals (Sweden)

    Carole F S Koning-Boucoiran

    2015-04-01

    Full Text Available In order to develop a versatile and large SNP array for rose, we set out to mine ESTs from diverse sets of rose germplasm. For this RNA-Seq libraries containing about 700 million reads were generated from tetraploid cut and garden roses using Illumina paired-end sequencing, and from diploid Rosa multiflora using 454 sequencing. Separate de novo assemblies were performed in order to identify single nucleotide polymorphisms (SNPs within and between rose varieties. SNPs among tetraploid roses were selected for constructing a genotyping array that can be employed for genetic mapping and marker-trait association discovery in breeding programs based on tetraploid germplasm, both from cut roses and from garden roses. In total 68,893 SNPs were included on the WagRhSNP Axiom array.Next, an orthology-guided assembly was performed for the construction of a non-redundant rose transcriptome database. A total of 21,740 transcripts had significant hits with orthologous genes in the strawberry (Fragaria vesca L. genome. Of these 13,390 appeared to contain the full-length coding regions. This newly established transcriptome resource adds considerably to the currently available sequence resources for the Rosaceae family in general and the genus Rosa in particular.

  6. A TagSNP in SIRT1 gene confers susceptibility to myocardial infarction in a Chinese Han population.

    Directory of Open Access Journals (Sweden)

    Jie Cheng

    Full Text Available SIRT1 exerts protective effects against endothelial cells dysfunction, inflammation and atherosclerosis, indicating an important role on myocardial infarction (MI pathogenesis. Nonetheless, the effects of SIRT1 variants on MI risk remain poorly understood. Here we aimed to investigate the influence of SIRT1 polymorphisms on individual susceptibility to MI. Genotyping of three tagSNPs (rs7069102, rs3818292 and rs4746720 in SIRT1 gene was performed in a Chinese Han population, consisting of 287 MI cases and 654 control subjects. In a logistic regression analysis, we found that G allele of rs7069102 had increased MI risk with odds ratio (OR of 1.57 [95% confidence interval (CI = 1.15-2.16, Bonferroni corrected P (Pc = 0.015] after adjustment for conventional risk factors compared to C allele. Similarly, the combined CG/GG genotypes was associated with the increased MI risk (OR = 1.64, 95% CI = 1.14-2.35, Pc = 0.021 compared to the CC genotype. Further stratified analysis revealed a more significant association with MI risk among younger subjects (≤ 55 years old. Consistent with these results, the haplotype rs7069102G-rs3818292A-rs4746720T containing the rs7069102 G allele was also associated with the increased MI risk (OR = 1.41, 95% CI = 1.09-1.84, Pc = 0.040. However, we did not detect any association of rs3818292 and rs4746720 with MI risk. Our study provides the first evidence that the tagSNP rs7069102 and haplotype rs7069102G-rs3818292A-rs4746720T in SIRT1 gene confer susceptibility to MI in the Chinese Han population.

  7. Human histamine N-methyltransferase pharmacogenetics: gene resequencing, promoter characterization, and functional studies of a common 5'-flanking region single nucleotide polymorphism (SNP).

    Science.gov (United States)

    Wang, Liewei; Thomae, Bianca; Eckloff, Bruce; Wieben, Eric; Weinshilboum, Richard

    2002-08-15

    Histamine N-methyltransferase (HNMT) catalyzes one of two major metabolic pathways for histamine. The levels of HNMT activity and immunoreactive protein in human tissues are regulated primarily by inheritance. Previous studies of HNMT identified two common single nucleotide polymorphisms (SNPs), including a functionally significant nonsynonymous coding SNP (cSNP), (C314T, Thr105Ile), but that polymorphism did not explain all of the phenotypic variation. In the present study, a genotype-to-phenotype strategy was used to search for additional genetic factors that might contribute to the regulation of human HNMT activity. Specifically, we began by resequencing the human HNMT gene using 90 ethnically anonymous DNA samples from the Coriell Cell Repository and identified a total of eight SNPs, including the two that had been reported previously. No new nonsynonymous cSNPs were observed, but three of the six novel SNPs were located in the 5'-flanking region (5'-FR) of the gene-including a third common polymorphism with a frequency of 0.367 (36.7%). That observation directed our attention to possible genetic effects on HNMT transcription. As a first step in testing that possibility, we created and studied a series of reporter gene constructs for the initial 1kb of the HNMT 5'-FR. The core promoter and possible regulatory regions were identified and verified by electrophoresis mobility shift assays. We then studied the possible functional implications of the new common HNMT 5'-FR SNP. However, on the basis of reporter gene studies, that SNP appeared to have little effect on transcription. Phenotype-genotype correlation analysis performed with 112 human kidney biopsy samples that had been phenotyped for their level of HNMT activity confirmed that the common 5'-FR SNP was not associated with the level of HNMT activity in vivo. In summary, this series of experiments resulted in the identification of several novel HNMT polymorphisms, identification of the HNMT core promoter

  8. SNP Analysis and Haplotype Identification in Chymotrypsin Inhibitor-2 (CI-2) Gene of Barley

    Institute of Scientific and Technical Information of China (English)

    ZENG Xiang-hui; WEI Yu-ming; JIANG Qian-tao; QI Peng-fei; ZHENG You-liang

    2009-01-01

    Barley chymotrypsin inhibitor-2 (CI-2) was considered to be a promising candidate for enhancing the nutritional value of other cereals by increasing its concentration as it is rich in lysine than any other storage protein. Also, it was proposed that CI-2 might play an important role in the inhibition of proteolytic enzymes from pests or pathogens as CI-2 can strongly inhibit chymotrypsin and subtilisin. In this study, a total of 93 CI-2 gene sequences were isolated from wild and cultivated barley. 48 SNPs and 4 indels were detected across the entire sequences. The frequency of SNPs in the non-coding region (1 out of 9 bases) was slightly higher than that in the coding region (1 out of 10.7 bases). In all, 33.3% of the candidate cSNPs resulted in amino acid changes. As a total, the 24 cSNPs resulted in 15 amino acid changes. Ten distinguishable haplotypes were detected, among which 3 haplotypes were shared in the most barley accessions, whereas the rest of the haplotypes appeared at a lower frequency. In addition, three haplotypes (haplotype 4, 8, and 9) were unique for single accessions. These results suggested that low diversity at the CI-2 locus was detected among the cultivated and wild barley.

  9. A high-density SNP Map of sunflower derived from RAD-sequencing facilitating fine-mapping of the rust resistance gene R12.

    Science.gov (United States)

    Talukder, Zahirul I; Gong, Li; Hulke, Brent S; Pegadaraju, Venkatramana; Song, Qijian; Schultz, Quentin; Qi, Lili

    2014-01-01

    A high-resolution genetic map of sunflower was constructed by integrating SNP data from three F2 mapping populations (HA 89/RHA 464, B-line/RHA 464, and CR 29/RHA 468). The consensus map spanned a total length of 1443.84 cM, and consisted of 5,019 SNP markers derived from RAD tag sequencing and 118 publicly available SSR markers distributed in 17 linkage groups, corresponding to the haploid chromosome number of sunflower. The maximum interval between markers in the consensus map is 12.37 cM and the average distance is 0.28 cM between adjacent markers. Despite a few short-distance inversions in marker order, the consensus map showed high levels of collinearity among individual maps with an average Spearman's rank correlation coefficient of 0.972 across the genome. The order of the SSR markers on the consensus map was also in agreement with the order of the individual map and with previously published sunflower maps. Three individual and one consensus maps revealed the uneven distribution of markers across the genome. Additionally, we performed fine mapping and marker validation of the rust resistance gene R12, providing closely linked SNP markers for marker-assisted selection of this gene in sunflower breeding programs. This high resolution consensus map will serve as a valuable tool to the sunflower community for studying marker-trait association of important agronomic traits, marker assisted breeding, map-based gene cloning, and comparative mapping.

  10. Homozygous mdm2 SNP309 cancer cells with compromised transcriptional elongation at p53 target genes are sensitive to induction of p53-independent cell death.

    Science.gov (United States)

    Rosso, Melissa; Polotskaia, Alla; Bargonetti, Jill

    2015-10-27

    A single nucleotide polymorphism (T to G) in the mdm2 P2 promoter, mdm2 SNP309, leads to MDM2 overexpression promoting chemotherapy resistant cancers. Two mdm2 G/G SNP309 cancer cell lines, MANCA and A875, have compromised wild-type p53 that co-localizes with MDM2 on chromatin. We hypothesized that MDM2 in these cells inhibited transcription initiation at the p53 target genes p21 and puma. Surprisingly, following etoposide treatment transcription initiation occurred at the compromised target genes in MANCA and A875 cells similar to the T/T ML-1 cell line. In all cell lines tested there was equally robust recruitment of total and initiated RNA polymerase II (Pol II). We found that knockdown of MDM2 in G/G cells moderately increased expression of subsets of p53 target genes without increasing p53 stability. Importantly, etoposide and actinomycin D treatments increased histone H3K36 trimethylation in T/T, but not G/G cells, suggesting a G/G correlated inhibition of transcription elongation. We therefore tested a chemotherapeutic agent (8-amino-adenosine) that induces p53-independent cell death for higher clinically relevant cytotoxicity. We demonstrated that T/T and G/G mdm2 SNP309 cells were equally sensitive to 8-amino-adenosine induced cell death. In conclusion for cancer cells overexpressing MDM2, targeting MDM2 may be less effective than inducing p53-independent cell death.

  11. TRPM2 SNP genotype previously associated with susceptibility to Rhodococcus equi pneumonia in Quarter Horse foals displays differential gene expression identified using RNA-Seq.

    Science.gov (United States)

    McQueen, Cole M; Whitfield-Cargile, Canaan M; Konganti, Kranti; Blodgett, Glenn P; Dindot, Scott V; Cohen, Noah D

    2016-12-05

    Rhodococcus equi (R. equi) is an intracellular bacterium that affects young foals and immuno-compromised individuals causing severe pneumonia. Currently, the genetic mechanisms that confer susceptibility and/or resistance to R. equi are not fully understood. Previously, using a SNP-based genome-wide association study, we identified a region on equine chromosome 26 associated with culture-confirmed clinical pneumonia. To better characterize this region and understand the function of the SNP located within TRPM2 that was associated with R. equi pneumonia, we performed RNA-Seq on 12 horses representing the 3 genotypic forms of this SNP. We identified differentially expressed genes in the innate immune response pathway when comparing homozygous A allele horses with the AB and BB horses. Isoform analyses of the RNA-Seq data predicted the existence of multiple transcripts and provided evidence of differential expression at the TRPM2 locus. This finding is consistent with previously demonstrated work in human cell lines in which isoform-specific expression of TRPM2 was critical for cell viability. This work demonstrates that SNPs in TRPM2 are associated with differences in gene expression, suggesting that modulation of expression of this innate immune gene contributes to susceptibility to R. equi pneumonia.

  12. Application of multi-SNP approaches Bayesian LASSO and AUC-RF to detect main effects of inflammatory-gene variants associated with bladder cancer risk.

    Directory of Open Access Journals (Sweden)

    Evangelina López de Maturana

    Full Text Available The relationship between inflammation and cancer is well established in several tumor types, including bladder cancer. We performed an association study between 886 inflammatory-gene variants and bladder cancer risk in 1,047 cases and 988 controls from the Spanish Bladder Cancer (SBC/EPICURO Study. A preliminary exploration with the widely used univariate logistic regression approach did not identify any significant SNP after correcting for multiple testing. We further applied two more comprehensive methods to capture the complexity of bladder cancer genetic susceptibility: Bayesian Threshold LASSO (BTL, a regularized regression method, and AUC-Random Forest, a machine-learning algorithm. Both approaches explore the joint effect of markers. BTL analysis identified a signature of 37 SNPs in 34 genes showing an association with bladder cancer. AUC-RF detected an optimal predictive subset of 56 SNPs. 13 SNPs were identified by both methods in the total population. Using resources from the Texas Bladder Cancer study we were able to replicate 30% of the SNPs assessed. The associations between inflammatory SNPs and bladder cancer were reexamined among non-smokers to eliminate the effect of tobacco, one of the strongest and most prevalent environmental risk factor for this tumor. A 9 SNP-signature was detected by BTL. Here we report, for the first time, a set of SNP in inflammatory genes jointly associated with bladder cancer risk. These results highlight the importance of the complex structure of genetic susceptibility associated with cancer risk.

  13. SNP mapping and candidate gene sequencing in the class I region of the HLA complex: searching for multiple sclerosis susceptibility genes in Tasmanians.

    Science.gov (United States)

    Burfoot, R K; Jensen, C J; Field, J; Stankovich, J; Varney, M D; Johnson, L J; Butzkueven, H; Booth, D; Bahlo, M; Tait, B D; Taylor, B V; Speed, T P; Heard, R; Stewart, G J; Foote, S J; Kilpatrick, T J; Rubio, J P

    2008-01-01

    This study is an extension to previously published work that has linked variation in the human leukocyte antigen (HLA) class I region with susceptibility to multiple sclerosis (MS) in Australians from the Island State of Tasmania. Single nucleotide polymorphism (SNP) mapping was performed on an 865-kb candidate region (D6S1683-D6S265) in 166 Tasmanian MS families, and seven candidate genes [ubiquitin D (UBD), olfactory receptor 2H3 (OR2H3), gamma-aminobutyric acid B receptor 1 (GABBR1), myelin oligodendrocyte glycoprotein (MOG), HLA-F, HLA complex group 4 (HCG4) and HLA-G] were resequenced. SNPs tagging the extended MS susceptibility haplotype were genotyped in an independent sample of 356 Australian MS trios and SNPs in the MOG gene were significantly over-transmitted to MS cases. We identified significant effects on MS susceptibility of HLA-A*2 (OR: 0.51; P = 0.05) and A*3 (OR: 2.85; P = 0.005), and two coding polymorphisms in the MOG gene (V145I: P = 0.01, OR: 2.2; V142L: P = 0.04, OR: 0.45) after full conditioning on HLA-DRB1. We have therefore identified plausible candidates for the causal MS susceptibility allele, and although not conclusive at this stage, our data provide suggestive evidence for multiple class I MS susceptibility genes.

  14. Analysis of genotype polymorphism of tumor-related genes harbored in chromosome arm lp and 8p in hepatocellular carcinoma patients by cSNP chip

    Institute of Scientific and Technical Information of China (English)

    Juan WANG; Wenqin SONG

    2009-01-01

    The majority of single nucleotide polymorphisms (SNPs) found in the coding region (cSNPs) are single base substitutions that may or may not lead to amino acid substitutions,most of which are related to diseases.Some cSNPs may prove useful for their potential links to functional cSNPs via linkage disequilibrium mapping.We have selected 48 cSNPs located in the coding regions of 25 genes to construct the cSNP chip.These genes are harbored in the high frequency loss regions of the chromosome 1p and 8p and related with apoptosis,cell cycles,signal transduction,oncogene,tumor suppressor genes and so on.All of the cSNPs can lead to amino acid substitutions except TP73 (rs1801174).The PCR products amplified from 31 hepatocellular carcinoma (HCC) specimens were labeled with Dig-dUTP and then hybridized with the cSNP chips.The results showed that there was no hybridization signal when there was more than one site of mutation in the amplification sequence,indicating that the cSNP chip had a high sensitivity.The statistic data of the SNP (MT,homozygous and HT,heterozygous) in the HCC patients with different phenotypes (HBV +/-,differentiation stage,family history positive or negative,tumor size) indicated that the number of MT was distinctly different between patients with positive HBV and negative HBV.The MT and HT numbers of all the 48 cSNPs were significantly different between low differentiation and high differentiation HCC patients.The numbers of MT and HT were not different between positived and negative family history groups and between tumor size>3 cm and≤3 cm groups.The study results provided useful information for understanding the molecular mechanisms of HCC development.

  15. Characterisation of SNP haplotype structure in chemokine and chemokine receptor genes using CEPH pedigrees and statistical estimation

    Directory of Open Access Journals (Sweden)

    Clark Vanessa J

    2004-03-01

    Full Text Available Abstract Chemokine signals and their cell-surface receptors are important modulators of HIV-1 disease and cancer. To aid future case/control association studies, aim to further characterise the haplotype structure of variation in chemokine and chemokine receptor genes. To perform haplotype analysis in a population-based association study, haplotypes must be determined by estimation, in the absence of family information or laboratory methods to establish phase. Here, test the accuracy of estimates of haplotype frequency and linkage disequilibrium by comparing estimated haplotypes generated with the expectation maximisation (EM algorithm to haplotypes determined from Centre d'Etude Polymorphisme Humain (CEPH pedigree data. To do this, they have characterised haplotypes comprising alleles at 11 biallelic loci in four chemokine receptor genes (CCR3, CCR2, CCR5 and CCRL2, which span 150 kb on chromosome 3p21, and haplotyes of nine biallelic loci in six chemokine genes [MCP-1(CCL2, Eotaxin(CCL11, RANTES(CCL5, MPIF-1(CCL23, PARC(CCL18 and MIP-1α(CCL3 ] on chromosome 17q11-12. Forty multi-generation CEPH families, totalling 489 individuals, were genotyped by the TaqMan 5'-nuclease assay. Phased haplotypes and haplotypes estimated from unphased genotypes were compared in 103 grandparents who were assumed to have mated at random. For the 3p21 single nucleotide polymorphism (SNP data, haplotypes determined by pedigree analysis and haplotypes generated by the EM algorithm were nearly identical. Linkage disequilibrium, measured by the D' statistic, was nearly maximal across the 150 kb region, with complete disequilibrium maintained at the extremes between CCR3-Y17Y and CCRL2-1243V. D'-values calculated from estimated haplotypes on 3p21 had high concordance with pairwise comparisons between pedigree-phased chromosomes. Conversely, there was less agreement between analyses of haplotype frequencies and linkage disequilibrium using estimated haplotypes when

  16. Candidate Gene Identification with SNP Marker-Based Fine Mapping of Anthracnose Resistance Gene Co-4 in Common Bean.

    Science.gov (United States)

    Burt, Andrew J; William, H Manilal; Perry, Gregory; Khanal, Raja; Pauls, K Peter; Kelly, James D; Navabi, Alireza

    2015-01-01

    Anthracnose, caused by Colletotrichum lindemuthianum, is an important fungal disease of common bean (Phaseolus vulgaris). Alleles at the Co-4 locus confer resistance to a number of races of C. lindemuthianum. A population of 94 F4:5 recombinant inbred lines of a cross between resistant black bean genotype B09197 and susceptible navy bean cultivar Nautica was used to identify markers associated with resistance in bean chromosome 8 (Pv08) where Co-4 is localized. Three SCAR markers with known linkage to Co-4 and a panel of single nucleotide markers were used for genotyping. A refined physical region on Pv08 with significant association with anthracnose resistance identified by markers was used in BLAST searches with the genomic sequence of common bean accession G19833. Thirty two unique annotated candidate genes were identified that spanned a physical region of 936.46 kb. A majority of the annotated genes identified had functional similarity to leucine rich repeats/receptor like kinase domains. Three annotated genes had similarity to 1, 3-β-glucanase domains. There were sequence similarities between some of the annotated genes found in the study and the genes associated with phosphoinositide-specific phosphilipases C associated with Co-x and the COK-4 loci found in previous studies. It is possible that the Co-4 locus is structured as a group of genes with functional domains dominated by protein tyrosine kinase along with leucine rich repeats/nucleotide binding site, phosphilipases C as well as β-glucanases.

  17. SNP Discovery and Genetic Variation of Candidate Genes Relevant to Heat Tolerance and Agronomic Traits in Natural Populations of Sand Rice (Agriophyllum squarrosum).

    Science.gov (United States)

    Zhao, Pengshan; Zhang, Jiwei; Qian, Chaoju; Zhou, Qin; Zhao, Xin; Chen, Guoxiong; Ma, Xiao-Fei

    2017-01-01

    The extreme stress tolerance and high nutritional value of sand rice (Agriophyllum squarrosum) make it attractive for use as an alternative crop in response to concerns about ongoing climate change and future food security. However, a lack of genetic information hinders understanding of the mechanisms underpinning the morphological and physiological adaptations of sand rice. In the present study, we sequenced and analyzed the transcriptomes of two individuals representing semi-arid [Naiman (NM)] and arid [Shapotou (SPT)] sand rice genotypes. A total of 105,868 pairwise single nucleotide polymorphisms (SNPs) distributed in 24,712 Unigenes were identified among SPT and NM samples; the average SNP frequency was 0.3% (one SNP per 333 base pair). Characterization of gene annotation demonstrated that variations in genes involved in DNA recombination were associated with the survival of the NM population in the semi-arid environment. A set of genes predicted to be relevant to heat stress response and agronomic traits was functionally annotated using the accumulated knowledge from Arabidopsis and several crop plants, including rice, barley, maize, and sorghum. Four candidate genes related to heat tolerance (heat-shock transcription factor, HsfA1d), seed size (DA1-Related, DAR1), and flowering (early flowering 3, ELF3 and late elongated hypocotyl, LHY) were subjected to analysis of the genetic diversity in 10 natural populations, representing the core germplasm resource across the area of sand rice distribution in China. Only one SNP was detected in each of HsfA1d and DAR1, among 60 genotypes, with two in ELF3 and four in LHY. Nucleotide diversity ranged from 0.00032 to 0.00118. Haplotype analysis indicated that the NM population carried a specific allele for all four genes, suggesting that divergence has occurred between NM and other populations. These four genes could be further analyzed to determine whether they are associated with phenotype variation and identify

  18. Exploring the structural and functional effect of pRB by significant nsSNP in the coding region of RB1 gene causing retinoblastoma.

    Science.gov (United States)

    Rajasekaran, R; Sethumadhavan, Rao

    2010-02-01

    In this study, we identified the most deleterious nsSNP in RB1 gene through structural and functional properties of its protein (pRB) and investigated its binding affinity with E2F-2. Out of 956 SNPs, we investigated 12 nsSNPs in coding region in which three of them (SNPids rs3092895, rs3092903 and rs3092905) are commonly found to be damaged by I-Mutant 2.0, SIFT and PolyPhen programs. With this effort, we modeled the mutant pRB proteins based on these deleterious nsSNPs. From a comparison of total energy, stabilizing residues and RMSD of these three mutant proteins with native pRB protein, we identified that the major mutation is from Glutamic acid to Glycine at the residue position of 746 of pRB. Further, we compared the binding efficiency of both native and mutant pRB (E746G) with E2F-2. We found that mutant pRB has less binding affinity with E2F-2 as compared to native type. This is due to sixteen hydrogen bonding and two salt bridges that exist between native type and E2F-2, whereas mutant type makes only thirteen hydrogen bonds and one salt bridge with E2F-2. Based on our investigation, we propose that the SNP with an id rs3092905 could be the most deleterious nsSNP in RB1 gene causing retinoblastoma.

  19. A SNP Harvester Analysis to Better Detect SNPs of CCDC158 Gene That Are Associated with Carcass Quality Traits in Hanwoo.

    Science.gov (United States)

    Lee, Jea-Young; Lee, Jong-Hyeong; Yeo, Jung-Sou; Kim, Jong-Joo

    2013-06-01

    The purpose of this study was to investigate interaction effects of genes using a Harvester method. A sample of Korean cattle, Hanwoo (n = 476) was chosen from the National Livestock Research Institute of Korea that were sired by 50 Korean proven bulls. The steers were born between the spring of 1998 and the autumn of 2002 and reared under a progeny-testing program at the Daekwanryeong and Namwon branches of NLRI. The steers were slaughtered at approximately 24 months of age and carcass quality traits were measured. A SNP Harvester method was applied with a support vector machine (SVM) to detect significant SNPs in the CCDC158 gene and interaction effects between the SNPs that were associated with average daily gains, cold carcass weight, longissimus dorsi muscle area, and marbling scores. The statistical significance of the major SNP combinations was evaluated with x (2)-statistics. The genotype combinations of three SNPs, g.34425+102 A>T(AA), g.4102636T>G(GT), and g.11614+19G>T(GG) had a greater effect than the rest of SNP combinations, e.g. 0.82 vs. 0.75 kg, 343 vs. 314 kg, 80.4 vs 74.7 cm(2), and 7.35 vs. 5.01, for the four respective traits (pHarvester method is a good option when multiple SNPs and interaction effects are tested. The significant SNPs could be applied to improve meat quality of Hanwoo via marker-assisted selection.

  20. Candidate Gene Identification with SNP Marker-Based Fine Mapping of Anthracnose Resistance Gene Co-4 in Common Bean

    Science.gov (United States)

    Burt, Andrew J.; William, H. Manilal; Perry, Gregory; Khanal, Raja; Pauls, K. Peter; Kelly, James D.; Navabi, Alireza

    2015-01-01

    Anthracnose, caused by Colletotrichum lindemuthianum, is an important fungal disease of common bean (Phaseolus vulgaris). Alleles at the Co–4 locus confer resistance to a number of races of C. lindemuthianum. A population of 94 F4:5 recombinant inbred lines of a cross between resistant black bean genotype B09197 and susceptible navy bean cultivar Nautica was used to identify markers associated with resistance in bean chromosome 8 (Pv08) where Co–4 is localized. Three SCAR markers with known linkage to Co–4 and a panel of single nucleotide markers were used for genotyping. A refined physical region on Pv08 with significant association with anthracnose resistance identified by markers was used in BLAST searches with the genomic sequence of common bean accession G19833. Thirty two unique annotated candidate genes were identified that spanned a physical region of 936.46 kb. A majority of the annotated genes identified had functional similarity to leucine rich repeats/receptor like kinase domains. Three annotated genes had similarity to 1, 3-β-glucanase domains. There were sequence similarities between some of the annotated genes found in the study and the genes associated with phosphoinositide-specific phosphilipases C associated with Co-x and the COK–4 loci found in previous studies. It is possible that the Co–4 locus is structured as a group of genes with functional domains dominated by protein tyrosine kinase along with leucine rich repeats/nucleotide binding site, phosphilipases C as well as β-glucanases. PMID:26431031

  1. Candidate Gene Identification with SNP Marker-Based Fine Mapping of Anthracnose Resistance Gene Co-4 in Common Bean.

    Directory of Open Access Journals (Sweden)

    Andrew J Burt

    Full Text Available Anthracnose, caused by Colletotrichum lindemuthianum, is an important fungal disease of common bean (Phaseolus vulgaris. Alleles at the Co-4 locus confer resistance to a number of races of C. lindemuthianum. A population of 94 F4:5 recombinant inbred lines of a cross between resistant black bean genotype B09197 and susceptible navy bean cultivar Nautica was used to identify markers associated with resistance in bean chromosome 8 (Pv08 where Co-4 is localized. Three SCAR markers with known linkage to Co-4 and a panel of single nucleotide markers were used for genotyping. A refined physical region on Pv08 with significant association with anthracnose resistance identified by markers was used in BLAST searches with the genomic sequence of common bean accession G19833. Thirty two unique annotated candidate genes were identified that spanned a physical region of 936.46 kb. A majority of the annotated genes identified had functional similarity to leucine rich repeats/receptor like kinase domains. Three annotated genes had similarity to 1, 3-β-glucanase domains. There were sequence similarities between some of the annotated genes found in the study and the genes associated with phosphoinositide-specific phosphilipases C associated with Co-x and the COK-4 loci found in previous studies. It is possible that the Co-4 locus is structured as a group of genes with functional domains dominated by protein tyrosine kinase along with leucine rich repeats/nucleotide binding site, phosphilipases C as well as β-glucanases.

  2. SNP detection in Na/K ATP-ase gene α1 subunit of bisexual and parthenogenetic Artemia strains by RFLP screening.

    Science.gov (United States)

    Manaffar, R; Zare, S; Agh, N; Abdolahzadeh, N; Soltanian, S; Sorgeloos, P; Bossier, P; Van Stappen, G

    2011-01-01

    In order to find a marker for differentiating between a bisexual and a parthenogenetic Artemia strain, Exon-7 of the Na/K ATPase α(1) subunit gene was screened by RFLP technique. The results revealed a constant synonymous SNP (single nucleotide polymorphism) in digestion by the Tru1I enzyme that was consistent with these two types of Artemia. This SNP was identified as an accurate molecular marker for discrimination between bisexual and parthenogenetic Artemia. According to the Nei's genetic distance (1973), the lowest genetic distance was found between individuals from Artemia urmiana Günther 1890 and parthenogenetic populations, making the described marker the first marker to easily distinguish between these two cooccurring species.

  3. SNP diversity of Enterococcus faecalis and Enterococcus faecium in a South East Queensland waterway, Australia, and associated antibiotic resistance gene profiles

    Directory of Open Access Journals (Sweden)

    Huygens Flavia

    2011-09-01

    Full Text Available Abstract Background Enterococcus faecalis and Enterococcus faecium are associated with faecal pollution of water, linked to swimmer-associated gastroenteritis and demonstrate a wide range of antibiotic resistance. The Coomera River is a main water source for the Pimpama-Coomera watershed and is located in South East Queensland, Australia, which is used intensively for agriculture and recreational purposes. This study investigated the diversity of E. faecalis and E. faecium using Single Nucleotide Polymorphisms (SNPs and associated antibiotic resistance profiles. Results Total enterococcal counts (cfu/ml for three/six sampling sites were above the United States Environmental Protection Agency (USEPA recommended level during rainfall periods and fall into categories B and C of the Australian National Health and Medical Research Council (NHMRC guidelines (with a 1-10% gastrointestinal illness risk. E. faecalis and E. faecium isolates were grouped into 29 and 23 SNP profiles (validated by MLST analysis respectively. This study showed the high diversity of E. faecalis and E. faecium over a period of two years and both human-related and human-specific SNP profiles were identified. 81.8% of E. faecalis and 70.21% of E. faecium SNP profiles were associated with genotypic and phenotypic antibiotic resistance. Gentamicin resistance was higher in E. faecalis (47% resistant and harboured the aac(6'-aph(2' gene. Ciprofloxacin resistance was more common in E. faecium (12.7% resistant and gyrA gene mutations were detected in these isolates. Tetracycline resistance was less common in both species while tet(L and tet(M genes were more prevalent. Ampicillin resistance was only found in E. faecium isolates with mutations in the pbp5 gene. Vancomycin resistance was not detected in any of the isolates. We found that antibiotic resistance profiles further sub-divided the SNP profiles of both E. faecalis and E. faecium. Conclusions The distribution of E. faecalis and

  4. Optimization of candidate-gene SNP-genotyping by flexible oligonucleotide microarrays; analyzing variations in immune regulator genes of hay-fever samples

    Directory of Open Access Journals (Sweden)

    Beier Markus

    2007-08-01

    Full Text Available Abstract Background Genetic variants in immune regulator genes have been associated with numerous diseases, including allergies and cancer. Increasing evidence suggests a substantially elevated disease risk in individuals who carry a combination of disease-relevant single nucleotide polymorphisms (SNPs. For the genotyping of immune regulator genes, such as cytokines, chemokines and transcription factors, an oligonucleotide microarray for the analysis of 99 relevant SNPs was established. Since the microarray design was based on a platform that permits flexible in situ oligonucleotide synthesis, a set of optimally performing probes could be defined by a selection approach that combined computational and experimental aspects. Results While the in silico process eliminated 9% of the initial probe set, which had been picked purely on the basis of potential association with disease, the subsequent experimental validation excluded more than twice as many. The performance of the optimized microarray was demonstrated in a pilot study. The genotypes of 19 hay-fever patients (aged 40–44 with high IgE levels against inhalant antigens were compared to the results obtained with 19 age- and sex-matched controls. For several variants, allele-frequency differences of more than 10% were identified. Conclusion Based on the ability to improve empirically a chip design, the application of candidate-SNP typing represents a viable approach in the context of molecular epidemiological studies.

  5. SNP-SNP interactions of three new pri-miRNAs with the target gene PGC and multidimensional analysis of H. pylori in the gastric cancer/atrophic gastritis risk in a Chinese population.

    Science.gov (United States)

    Xu, Qian; Wu, Ye-Feng; Li, Ying; He, Cai-Yun; Sun, Li-Ping; Liu, Jing-Wei; Yuan, Yuan

    2016-04-26

    Gastric cancer (GC) is a multistep complex disease involving multiple genes, and gene-gene interactions have a greater effect than a single gene in determining cancer susceptibility. This study aimed to explore the interaction of the let-7e rs8111742, miR-365b rs121224, and miR-4795 rs1002765 single nucleotide polymorphisms (SNPs) with SNPs of the predicted target gene PGC and Helicobacter pylori status in GC and atrophic gastritis (AG) risk. Three miRNA SNPs and seven PGC SNPs were detected in 2448 cases using the Sequenom MassArray platform. Two pairwise combinations of miRNA and PGC SNPs were associated with increased AG risk (let-7e rs8111742 - PGC rs6458238 and miR-4795 rs1002765 - PGC rs9471643). Singly, miR-365b rs121224 and PGC rs6912200 had no effect individually but in combination they demonstrated an epistatic interaction associated with AG risk. Similarly, let-7e rs8111742 and miR-4795 rs1002765 SNPs interacted with H. pylori infection to increase GC risk (rs8111742: Pinteraction = 0.024; rs1002765: Pinteraction = 0.031, respectively). A three-dimensional interaction analysis found miR-4795 rs1002765, PGC rs9471643, and H. pylori infection positively interacted to increase AG risk (Pinteraction = 0.027). Also, let-7e rs8111742, PGC rs6458238, and H. pylori infection positively interacted to increase GC risk (Pinteraction = 0.036). Furthermore, both of these three-dimensional interactions had a dosage-effect correspondence (Ptrend < 0.001) and were verified by MDR. In conclusion, the miRNAs SNPs (let-7e rs8111742 and miR-4795 rs1002765) might have more superior efficiency when combined with PGC SNPs and/or H. pylori for GC or AG risk than a single SNP on its own.

  6. Combining SNP discovery from next-generation sequencing data with bulked segregant analysis (BSA to fine-map genes in polyploid wheat

    Directory of Open Access Journals (Sweden)

    Trick Martin

    2012-01-01

    Full Text Available Abstract Background Next generation sequencing (NGS technologies are providing new ways to accelerate fine-mapping and gene isolation in many species. To date, the majority of these efforts have focused on diploid organisms with readily available whole genome sequence information. In this study, as a proof of concept, we tested the use of NGS for SNP discovery in tetraploid wheat lines differing for the previously cloned grain protein content (GPC gene GPC-B1. Bulked segregant analysis (BSA was used to define a subset of putative SNPs within the candidate gene region, which were then used to fine-map GPC-B1. Results We used Illumina paired end technology to sequence mRNA (RNAseq from near isogenic lines differing across a ~30-cM interval including the GPC-B1 locus. After discriminating for SNPs between the two homoeologous wheat genomes and additional quality filtering, we identified inter-varietal SNPs in wheat unigenes between the parental lines. The relative frequency of these SNPs was examined by RNAseq in two bulked samples made up of homozygous recombinant lines differing for their GPC phenotype. SNPs that were enriched at least 3-fold in the corresponding pool (6.5% of all SNPs were further evaluated. Marker assays were designed for a subset of the enriched SNPs and mapped using DNA from individuals of each bulk. Thirty nine new SNP markers, corresponding to 67% of the validated SNPs, mapped across a 12.2-cM interval including GPC-B1. This translated to 1 SNP marker per 0.31 cM defining the GPC-B1 gene to within 13-18 genes in syntenic cereal genomes and to a 0.4 cM interval in wheat. Conclusions This study exemplifies the use of RNAseq for SNP discovery in polyploid species and supports the use of BSA as an effective way to target SNPs to specific genetic intervals to fine-map genes in unsequenced genomes.

  7. HTLV-1-Associated Myelopathy/Tropical Spastic Paraparesis Is Not Associated with SNP rs12979860 of the IL-28B Gene

    Science.gov (United States)

    Vallinoto, Antonio C. R.; Santana, Bárbara Brasil; Sá, Keyla S. G.; Ferreira, Tuane C. S.; Sousa, Rita Catarina M.; Azevedo, Vânia N.; Feitosa, Rosimar N. M.; Machado, Luiz Fernando A.; Ishak, Marluísa O. G.; Ishak, Ricardo

    2015-01-01

    The present study investigated the association between the rs12979860 polymorphism in the IL-28B gene and HTLV-1 infection as well as the development of HTLV-1-associated myelopathy/tropical spastic paraparesis (HAM/TSP). HTLV-1-infected patients (26 HAM/TSP symptomatic and 53 asymptomatic) and 300 seronegative healthy controls were investigated. Plasma levels of the cytokines TNF-α, TNF-β, IL-8, IL-10, IL-6, and IFN-γ from infected patients were measured using an indirect enzyme-linked immunosorbent assay. The HTLV proviral load was measured using a real-time PCR assay, and T-cell subset counts were determined by flow cytometry. Real-time PCR was used to genotype the rs12979860 SNP. The allelic and genotypic distributions displayed no significant differences among the investigated groups. No significant association between the serum cytokine levels and the presence of the rs12979860 SNP in symptomatic and asymptomatic subjects was observed. A positive correlation (p = 0.0015) between TNF-β and IFN-γ was observed in the asymptomatic group, but a positive correlation was only observed (p = 0.0180) between TNF-α and IL-6 in the HAM/TSP group. The proviral load was significantly higher in HAM/TSP patients than in asymptomatic subjects. The present results do not support a previous report indicating an association between the SNP rs12979860 and HAM/TSP outcome. PMID:26609200

  8. HTLV-1-Associated Myelopathy/Tropical Spastic Paraparesis Is Not Associated with SNP rs12979860 of the IL-28B Gene

    Directory of Open Access Journals (Sweden)

    Antonio C. R. Vallinoto

    2015-01-01

    Full Text Available The present study investigated the association between the rs12979860 polymorphism in the IL-28B gene and HTLV-1 infection as well as the development of HTLV-1-associated myelopathy/tropical spastic paraparesis (HAM/TSP. HTLV-1-infected patients (26 HAM/TSP symptomatic and 53 asymptomatic and 300 seronegative healthy controls were investigated. Plasma levels of the cytokines TNF-α, TNF-β, IL-8, IL-10, IL-6, and IFN-γ from infected patients were measured using an indirect enzyme-linked immunosorbent assay. The HTLV proviral load was measured using a real-time PCR assay, and T-cell subset counts were determined by flow cytometry. Real-time PCR was used to genotype the rs12979860 SNP. The allelic and genotypic distributions displayed no significant differences among the investigated groups. No significant association between the serum cytokine levels and the presence of the rs12979860 SNP in symptomatic and asymptomatic subjects was observed. A positive correlation (p=0.0015 between TNF-β and IFN-γ was observed in the asymptomatic group, but a positive correlation was only observed (p=0.0180 between TNF-α and IL-6 in the HAM/TSP group. The proviral load was significantly higher in HAM/TSP patients than in asymptomatic subjects. The present results do not support a previous report indicating an association between the SNP rs12979860 and HAM/TSP outcome.

  9. Effect of the g.98535683A>G SNP in the CAST gene on meat traits of Nellore beef cattle (Bos indicus) and their crosses with Bos taurus.

    Science.gov (United States)

    Enriquez-Valencia, Cruz Elena; Pereira, Guilherme Luis; Malheiros, Jessica Moraes; de Vasconcelos Silva, Josineudson Augusto I I; Albuquerque, Lúcia Galvão; de Oliveira, Henrique Nunes; Chardulo, Luis Artur Loyola; Curi, Rogério Abdallah

    2017-01-01

    The objective of this study was to estimate allele frequencies of the g.98535683A>G:BTAU7 SNP in the CAST gene in different genetic groups of beef cattle produced in Brazil (Nellore and their crosses with Bos taurus), and to evaluate associations between this polymorphism and meat traits. Five hundred animals from six different genetic groups were genotyped and phenotyped for shear force (SF), myofibrillar fragmentation index (MFI), rib eye area, backfat thickness, and total lipids. Alleles A and G of the SNP were detected in all genetic groups and the frequency of A was higher than G. Significant association (P<0.05) was observed between the polymorphism and meat tenderness (SF and MFI), in which genotype AA exhibited the best values. These results demonstrate for the first time the occurrence of the studied SNP in a Zebu breed and its potential application to the genetic improvement of meat tenderness in the Nellore breed (Bos indicus) and its crosses with Bos taurus. Copyright © 2016 Elsevier Ltd. All rights reserved.

  10. GeneEvolve: a fast and memory efficient forward-time simulator of realistic whole-genome sequence and SNP data.

    Science.gov (United States)

    Tahmasbi, Rasool; Keller, Matthew C

    2017-01-15

    Computer simulations are excellent tools for understanding the evolutionary and genetic consequences of complex processes that cannot be analytically predicted and for creating realistic genetic data. There are many software packages that simulate genetic data, but they are typically not fast or memory efficient enough to simulate realistic, individual-level genome-wide SNP/sequence data. GeneEvolve is a user-friendly and efficient population genetics simulator that handles complex evolutionary and life history scenarios and generates individual-level phenotypes and realistic whole-genome sequence or SNP data. GeneEvolve runs forward-in-time, which allows it to provide a wide range of scenarios for mating systems, selection, population size and structure, migration, recombination and environmental effects. The software is designed to use as input data from real or previously simulated phased haplotypes, allowing it to mimic very closely the properties of real genomic data. GeneEvolve is freely available at https://github.com/rtahmasbi/GeneEvolve CONTACT: Rasool.Tahmasbi@Colorado.eduSupplementary information: Supplementary data are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  11. A high-density SNP Map of sunflower derived from RAD-sequencing facilitating fine-mapping of the rust resistance gene R12.

    Directory of Open Access Journals (Sweden)

    Zahirul I Talukder

    Full Text Available A high-resolution genetic map of sunflower was constructed by integrating SNP data from three F2 mapping populations (HA 89/RHA 464, B-line/RHA 464, and CR 29/RHA 468. The consensus map spanned a total length of 1443.84 cM, and consisted of 5,019 SNP markers derived from RAD tag sequencing and 118 publicly available SSR markers distributed in 17 linkage groups, corresponding to the haploid chromosome number of sunflower. The maximum interval between markers in the consensus map is 12.37 cM and the average distance is 0.28 cM between adjacent markers. Despite a few short-distance inversions in marker order, the consensus map showed high levels of collinearity among individual maps with an average Spearman's rank correlation coefficient of 0.972 across the genome. The order of the SSR markers on the consensus map was also in agreement with the order of the individual map and with previously published sunflower maps. Three individual and one consensus maps revealed the uneven distribution of markers across the genome. Additionally, we performed fine mapping and marker validation of the rust resistance gene R12, providing closely linked SNP markers for marker-assisted selection of this gene in sunflower breeding programs. This high resolution consensus map will serve as a valuable tool to the sunflower community for studying marker-trait association of important agronomic traits, marker assisted breeding, map-based gene cloning, and comparative mapping.

  12. Current limitations of SNP data from the public domain for studies of complex disorders: a test for ten candidate genes for obesity and osteoporosis

    Directory of Open Access Journals (Sweden)

    Xiao Peng

    2004-02-01

    Full Text Available Abstract Background Public SNP databases are frequently used to choose SNPs for candidate genes in the association and linkage studies of complex disorders. However, their utility for such studies of diseases with ethnic-dependent background has never been evaluated. Results To estimate the accuracy and completeness of SNP public databases, we analyzed the allele frequencies of 41 SNPs in 10 candidate genes for obesity and/or osteoporosis in a large American-Caucasian sample (1,873 individuals from 405 nuclear families by PCR-invader assay. We compared our results with those from the databases and other published studies. Of the 41 SNPs, 8 were monomorphic in our sample. Twelve were reported for the first time for Caucasians and the other 29 SNPs in our sample essentially confirmed the respective allele frequencies for Caucasians in the databases and previous studies. The comparison of our data with other ethnic groups showed significant differentiation between the three major world ethnic groups at some SNPs (Caucasians and Africans differed at 3 of the 18 shared SNPs, and Caucasians and Asians differed at 13 of the 22 shared SNPs. This genetic differentiation may have an important implication for studying the well-known ethnic differences in the prevalence of obesity and osteoporosis, and complex disorders in general. Conclusion A comparative analysis of the SNP data of the candidate genes obtained in the present study, as well as those retrieved from the public domain, suggests that the databases may currently have serious limitations for studying complex disorders with an ethnic-dependent background due to the incomplete and uneven representation of the candidate SNPs in the databases for the major ethnic groups. This conclusion attests to the imperative necessity of large-scale and accurate characterization of these SNPs in different ethnic groups.

  13. An SNP polymorphism (-844C/T) in the promoter of catalase gene leads to differential expression

    Institute of Scientific and Technical Information of China (English)

    LI Yanping; ZHANG Xin; WANG Zhimin; LU Daru; HANG Wei; JIN Li

    2004-01-01

    @@ Imbalance of redox state has been associated with human diseases, such as cardiovascular diseases, Huntington's disease and Alzheimer's disease[1]. Catalase, an important antioxidant enzyme, decomposes H2O2 into O2and H2O, therefore limiting the deleterious effect of the reactive oxygen species (ROS)[1 -4]. Previous study showed that a C-T polymorphism, located at -844 bp from the translational start site of catalase, is strongly associated with essential hypertension in an isolated Chinese population of Xiangchang country, Anhui Province[5]. To explore the impact of SNP-844C/T on the expression of catalase, human catalase promoters containing either SNP-844C or T variant were subcloned into the pGL3-Basic luciferase vector.

  14. Identification of a functional SNP in the 3'-UTR of caprine MTHFR gene that is associated with milk protein levels.

    Science.gov (United States)

    An, Xiaopeng; Song, Yuxuan; Hou, Jinxing; Wang, Shan; Gao, Kexin; Cao, Binyun

    2016-08-01

    Xinong Saanen (n = 305) and Guanzhong (n = 317) dairy goats were used to detect SNPs in the caprine MTHFR 3'-UTR by DNA sequencing. One novel SNP (c.*2494G>A) was identified in the said region. Individuals with the AA genotype had greater milk protein levels than did those with the GG genotype at the c.*2494 G>A locus in both dairy goat breeds (P A substitution could increase the binding activity of bta-miR-370 with the MTHFR 3'-UTR. In addition, we observed a significant increase in the MTHFR protein level of AA carriers relative to that of GG carriers. These altered levels of MTHFR protein may account for the association of the SNP with milk protein level.

  15. SNP (-617C>A in ARE-like loci of the NRF2 gene: a new biomarker for prognosis of lung adenocarcinoma in Japanese non-smoking women.

    Directory of Open Access Journals (Sweden)

    Yasuko Okano

    Full Text Available PURPOSE: The transcription factor NRF2 plays a pivotal role in protecting normal cells from external toxic challenges and oxidative stress, whereas it can also endow cancer cells resistance to anticancer drugs. At present little information is available about the genetic polymorphisms of the NRF2 gene and their clinical relevance. We aimed to investigate the single nucleotide polymorphisms in the NRF2 gene as a prognostic biomarker in lung cancer. EXPERIMENTAL DESIGN: We prepared genomic DNA samples from 387 Japanese patients with primary lung cancer and detected SNP (c.-617C>A; rs6721961 in the ARE-like loci of the human NRF2 gene by the rapid genetic testing method we developed in this study. We then analyzed the association between the SNP in the NRF2 gene and patients' overall survival. RESULTS: Patients harboring wild-type (WT homozygous (c.-617C/C, SNP heterozygous (c.-617C/A, and SNP homozygous (c.-617A/A alleles numbered 216 (55.8%, 147 (38.0%, and 24 (6.2%, respectively. Multivariate logistic regression models revealed that SNP homozygote (c.-617A/A was significantly related to gender. Its frequency was four-fold higher in female patients than in males (10.8% female vs 2.7% male and was associated with female non-smokers with adenocarcinoma. Interestingly, lung cancer patients carrying NRF2 SNP homozygous alleles (c.-617A/A and the 309T (WT allele in the MDM2 gene exhibited remarkable survival over 1,700 days after surgical operation (log-rank p = 0.021. CONCLUSION: SNP homozygous (c.-617A/A alleles in the NRF2 gene are associated with female non-smokers with adenocarcinoma and regarded as a prognostic biomarker for assessing overall survival of patients with lung adenocarcinoma.

  16. SNP-RFLPing 2: an updated and integrated PCR-RFLP tool for SNP genotyping

    Directory of Open Access Journals (Sweden)

    Chang Hsueh-Wei

    2010-04-01

    Full Text Available Abstract Background PCR-restriction fragment length polymorphism (RFLP assay is a cost-effective method for SNP genotyping and mutation detection, but the manual mining for restriction enzyme sites is challenging and cumbersome. Three years after we constructed SNP-RFLPing, a freely accessible database and analysis tool for restriction enzyme mining of SNPs, significant improvements over the 2006 version have been made and incorporated into the latest version, SNP-RFLPing 2. Results The primary aim of SNP-RFLPing 2 is to provide comprehensive PCR-RFLP information with multiple functionality about SNPs, such as SNP retrieval to multiple species, different polymorphism types (bi-allelic, tri-allelic, tetra-allelic or indels, gene-centric searching, HapMap tagSNPs, gene ontology-based searching, miRNAs, and SNP500Cancer. The RFLP restriction enzymes and the corresponding PCR primers for the natural and mutagenic types of each SNP are simultaneously analyzed. All the RFLP restriction enzyme prices are also provided to aid selection. Furthermore, the previously encountered updating problems for most SNP related databases are resolved by an on-line retrieval system. Conclusions The user interfaces for functional SNP analyses have been substantially improved and integrated. SNP-RFLPing 2 offers a new and user-friendly interface for RFLP genotyping that can be used in association studies and is freely available at http://bio.kuas.edu.tw/snp-rflping2.

  17. Exploring the structural and functional effect of pRB by significant nsSNP in the coding region of RB1 gene causing retinoblastoma

    Institute of Scientific and Technical Information of China (English)

    Rajasekaran; R; Rao; Sethumadhavan

    2010-01-01

    In this study,we identified the most deleterious nsSNP in RB1 gene through structural and functional properties of its protein (pRB) and investigated its binding affinity with E2F-2.Out of 956 SNPs,we investigated 12 nsSNPs in coding region in which three of them (SNPids rs3092895,rs3092903 and rs3092905) are commonly found to be damaged by I-Mutant 2.0,SIFT and PolyPhen programs.With this effort,we modeled the mutant pRB proteins based on these deleterious nsSNPs.From a comparison of total energy,stabilizing residues and RMSD of these three mutant proteins with native pRB protein,we identified that the major mutation is from Glutamic acid to Glycine at the residue position of 746 of pRB.Further,we compared the binding efficiency of both native and mutant pRB (E746G) with E2F-2.We found that mutant pRB has less binding affinity with E2F-2 as compared to native type.This is due to sixteen hydrogen bonding and two salt bridges that exist between native type and E2F-2,whereas mutant type makes only thirteen hydrogen bonds and one salt bridge with E2F-2.Based on our investigation,we propose that the SNP with an id rs3092905 could be the most deleterious nsSNP in RB1 gene causing retinoblastoma.

  18. IL28B gene polymorphism SNP rs8099917 genotype GG is associated with HTLV-1-associated myelopathy/tropical spastic paraparesis (HAM/TSP in HTLV-1 carriers.

    Directory of Open Access Journals (Sweden)

    Tatiane Assone

    2014-09-01

    Full Text Available The polymorphisms of IL28B have been described as important in the pathogenesis of infections caused by some viruses. The aim of this research was to evaluate whether IL28B gene polymorphisms (SNP rs8099917 and SNP rs12979860 are associated with HAM/TSP.The study included 229 subjects, classified according to their neurological status in two groups: Group I (136 asymptomatic HTLV-1 carriers and Group II (93 HAM/TSP patients. The proviral loads were quantified, and the rs8099917 and rs12979860 SNPs in the region of IL28B-gene were analyzed by StepOnePlus Real-time PCR System.A multivariate model analysis, including gender, age, and HTLV-1 DNA proviral load, showed that IL28B polymorphisms were independently associated with HAM/TSP outcome in rs12979860 genotype CT (OR = 2.03; IC95% = 0.96-4.27 and in rs8099917 genotype GG (OR = 7.61; IC95%  = 1.82-31.72.Subjects with SNP rs8099917 genotype GG and rs12979618 genotype CT may present a distinct immune response against HTLV-1 infection. So, it seems reasonable to suggest that a search for IL28B polymorphisms should be performed for all HTLV-1-infected subjects in order to monitor their risk for disease development; however, since this is the first description of such finding in the literature, we should first replicate this study with more HTLV-1-infected persons to strengthen the evidence already provided by our results.

  19. IL28B Gene Polymorphism SNP rs8099917 Genotype GG Is Associated with HTLV-1-Associated Myelopathy/Tropical Spastic Paraparesis (HAM/TSP) in HTLV-1 Carriers

    Science.gov (United States)

    Luiz, Olinda do Carmo; Malta, Fernanda; Pinho, João Renato Rebello; Gonçalves, Fernanda de Toledo; Duarte, Alberto Jose da Silva; de Oliveira, Augusto Cesar Penalva

    2014-01-01

    Background The polymorphisms of IL28B have been described as important in the pathogenesis of infections caused by some viruses. The aim of this research was to evaluate whether IL28B gene polymorphisms (SNP rs8099917 and SNP rs12979860) are associated with HAM/TSP. Methods The study included 229 subjects, classified according to their neurological status in two groups: Group I (136 asymptomatic HTLV-1 carriers) and Group II (93 HAM/TSP patients). The proviral loads were quantified, and the rs8099917 and rs12979860 SNPs in the region of IL28B-gene were analyzed by StepOnePlus Real-time PCR System. Results A multivariate model analysis, including gender, age, and HTLV-1 DNA proviral load, showed that IL28B polymorphisms were independently associated with HAM/TSP outcome in rs12979860 genotype CT (OR = 2.03; IC95% = 0.96–4.27) and in rs8099917 genotype GG (OR = 7.61; IC95% = 1.82–31.72). Conclusion Subjects with SNP rs8099917 genotype GG and rs12979618 genotype CT may present a distinct immune response against HTLV-1 infection. So, it seems reasonable to suggest that a search for IL28B polymorphisms should be performed for all HTLV-1-infected subjects in order to monitor their risk for disease development; however, since this is the first description of such finding in the literature, we should first replicate this study with more HTLV-1-infected persons to strengthen the evidence already provided by our results. PMID:25233462

  20. The Use of High-Density SNP Array to Map Homozygosity in Consanguineous Families to Efficiently Identify Candidate Genes: Application to Woodhouse-Sakati Syndrome

    Directory of Open Access Journals (Sweden)

    Molly B. Sheridan

    2015-01-01

    Full Text Available Two consanguineous Qatari siblings presented for evaluation: a 17-4/12-year-old male with hypogonadotropic hypogonadism, alopecia, intellectual disability, and microcephaly and his 19-year-old sister with primary amenorrhea, alopecia, and normal cognition. Both required hormone treatment to produce secondary sex characteristics and pubertal development beyond Tanner 1. SNP array analysis of both probands was performed to detect shared regions of homozygosity which may harbor homozygous mutations in a gene causing their common features of abnormal pubertal development, alopecia, and variable cognitive delay. Our patients shared multiple homozygous genomic regions; ten shared regions were >1 Mb in length and constituted 0.99% of the genome. DCAF17, encoding a transmembrane nuclear protein of uncertain function, was the only gene identified in a homozygous region known to cause hypogonadotropic hypogonadism. DCAF17 mutations are associated with Woodhouse-Sakati syndrome, a rare disorder characterized by alopecia, hypogonadotropic hypogonadism, sensorineural hearing loss, diabetes mellitus, and extrapyramidal movements. Sequencing of the coding exons and flanking intronic regions of DCAF17 in the proband revealed homozygosity for a previously described founder mutation (c.436delC. Targeted DCAF17 sequencing of his affected sibling revealed the same homozygous mutation. This family illustrates the utility of SNP array testing in consanguineous families to efficiently and inexpensively identify regions of genomic homozygosity in which genetic candidates for recessive conditions can be identified.

  1. In Silico Screening and Molecular Dynamics Simulation of Disease-Associated nsSNP in TYRP1 Gene and Its Structural Consequences in OCA3

    Directory of Open Access Journals (Sweden)

    Balu Kamaraj

    2013-01-01

    Full Text Available Oculocutaneous albinism type III (OCA3, caused by mutations of TYRP1 gene, is an autosomal recessive disorder characterized by reduced biosynthesis of melanin pigment in the hair, skin, and eyes. The TYRP1 gene encodes a protein called tyrosinase-related protein-1 (Tyrp1. Tyrp1 is involved in maintaining the stability of tyrosinase protein and modulating its catalytic activity in eumelanin synthesis. Tyrp1 is also involved in maintenance of melanosome structure and affects melanocyte proliferation and cell death. In this work we implemented computational analysis to filter the most probable mutation that might be associated with OCA3. We found R326H and R356Q as most deleterious and disease associated by using PolyPhen 2.0, SIFT, PANTHER, I-mutant 3.0, PhD-SNP, SNP&GO, Pmut, and Mutpred tools. To understand the atomic arrangement in 3D space, the native and mutant (R326H and R356Q structures were modelled. Finally the structural analyses of native and mutant Tyrp1 proteins were investigated using molecular dynamics simulation (MDS approach. MDS results showed more flexibility in native Tyrp1 structure. Due to mutation in Tyrp1 protein, it became more rigid and might disturb the structural conformation and catalytic function of the structure and might also play a significant role in inducing OCA3. The results obtained from this study would facilitate wet-lab researches to develop a potent drug therapies against OCA3.

  2. SNP genotyping technologies

    DEFF Research Database (Denmark)

    Studer, Bruno; Kölliker, Roland

    2013-01-01

    for this is the availability of high-throughput platforms for multiplexed SNP genotyping. Advancements in these technologies have enabled increased flexibility and throughput, allowing for the generation of adequate SNP marker data at very competitive cost per data point.......In the recent years, single nucleotide polymorphism (SNP) markers have emerged as the marker technology of choice for plant genetics and breeding applications. Besides the efficient technologies available for SNP discovery even in complex genomes, one of the main reasons...

  3. SNP genotyping technologies

    DEFF Research Database (Denmark)

    Studer, Bruno; Kölliker, Roland

    2013-01-01

    In the recent years, single nucleotide polymorphism (SNP) markers have emerged as the marker technology of choice for plant genetics and breeding applications. Besides the efficient technologies available for SNP discovery even in complex genomes, one of the main reasons...... for this is the availability of high-throughput platforms for multiplexed SNP genotyping. Advancements in these technologies have enabled increased flexibility and throughput, allowing for the generation of adequate SNP marker data at very competitive cost per data point....

  4. NOTCH2 in breast cancer: association of SNP rs11249433 with gene expression in ER-positive breast tumors without TP53 mutations

    Directory of Open Access Journals (Sweden)

    Ambs Stefan

    2010-05-01

    Full Text Available Abstract Background A recent genome-wide association study (GWAS has identified a single nucleotide polymorphism (SNP rs11249433 in the 1p11.2 region as a novel genetic risk factor for breast cancer, and this association was stronger in patients with estrogen receptor (ER+ versus ER- cancer. Results We found association between SNP rs11249433 and expression of the NOTCH2 gene located in the 1p11.2 region. Examined in 180 breast tumors, the expression of NOTCH2 was found to be lowest in tumors with TP53 mutations and highest in TP53 wild-type/ER+ tumors (p = 0.0059. In the latter group, the NOTCH2 expression was particularly increased in carriers of the risk genotypes (AG/GG of rs11249433 when compared to the non-risk AA genotype (p = 0.0062. Similar association between NOTCH2 expression and rs11249433 was observed in 60 samples of purified monocytes from healthy controls (p = 0.015, but not in total blood samples from 302 breast cancer patients and 76 normal breast tissue samples. We also identified the first possible dominant-negative form of NOTCH2, a truncated version of NOTCH2 consisting of only the extracellular domain. Conclusion This is the first study to show that the expression of NOTCH2 differs in subgroups of breast tumors and by genotypes of the breast cancer-associated SNP rs11249433. The NOTCH pathway has key functions in stem cell differentiation of ER+ luminal cells in the breast. Therefore, increased expression of NOTCH2 in carriers of rs11249433 may promote development of ER+ luminal tumors. Further studies are needed to investigate possible mechanisms of regulation of NOTCH2 expression by rs11249433 and the role of NOTCH2 splicing forms in breast cancer development.

  5. Single nucleotide polymorphism (SNP) of the endothelial nitric oxide synthase (eNOS) gene (Glu298Asp variant) in infertile men with asthenozoospermia.

    Science.gov (United States)

    Buldreghini, Eddi; Mahfouz, Reda Z; Vignini, Arianna; Mazzanti, Laura; Ricciardo-Lamonica, Giuseppe; Lenzi, Andrea; Agarwal, Ashok; Balercia, Giancarlo

    2010-01-01

    The objective of this study was to elucidate the missense Glu298Asp polymorphism within exon 7 of the endothelial nitric oxide synthase (eNOS) gene in infertile men with asthenozoospermia and its potential role in sperm motility. In this prospective controlled study conducted in our andrology unit, we investigated the frequency of the 894G>T polymorphism (Glu298Asp variant) within exon 7 of the eNOS gene in 70 infertile men and 60 healthy men. Sperm motion kinetics were assessed with computer-assisted semen analysis. The presence of G>T, a single nucleotide polymorphism (SNP) in exon 7 of the eNOS gene (NCBI SNP cluster rs1799983; GenBank accession number NG_011992; protein accession number NP_000594) was determined by allelespecific polymerase chain reaction followed by restriction fragment length polymorphism analysis. Sequencing analysis was used to confirm the specific genotype. The 894G>T eNOS allele (T) was found at a higher frequency in the patients with asthenozoospermia (60% vs 22.5% in the control group; P = .02). The percentage of progressive motile sperm (grade a + b) was lower in the asthenozoospermic infertile men with the homozygous eNOS (TT) genotype than in the wild-type eNOS (GG) (P = .02) and heterozygous eNOS (GT) genotypes (P = .01). However, the percentage of progressive motile sperm (grade a + b) was higher in the wild-type vs mutant eNOS (TT) (P = .03) and heterozygous eNOS (GT) genotypes (P = .04). Our findings suggest that the T allele encoding for aspartic acid of the eNOS (Glu298Asp) gene may contribute to poor sperm motility.

  6. Fine Mapping for Identification of Citrus Alternaria Brown Spot Candidate Resistance Genes and Development of New SNP Markers for Marker-Assisted Selection

    Science.gov (United States)

    Cuenca, Jose; Aleza, Pablo; Garcia-Lor, Andres; Ollitrault, Patrick; Navarro, Luis

    2016-01-01

    Alternaria brown spot (ABS) is a serious disease affecting susceptible citrus genotypes, which is a strong concern regarding citrus breeding programs. Resistance is conferred by a recessive locus (ABSr) previously located by our group within a 3.3 Mb genome region near the centromere in chromosome III. This work addresses fine-linkage mapping of this region for identifying candidate resistance genes and develops new molecular markers for ABS-resistance effective marker-assisted selection (MAS). Markers closely linked to ABSr locus were used for fine mapping using a 268-segregating diploid progeny derived from a heterozygous susceptible × resistant cross. Fine mapping limited the genomic region containing the ABSr resistance gene to 366 kb, flanked by markers at 0.4 and 0.7 cM. This region contains nine genes related to pathogen resistance. Among them, eight are resistance (R) gene homologs, with two of them harboring a serine/threonine protein kinase domain. These two genes along with a gene encoding a S-adenosyl-L-methionine-dependent-methyltransferase protein, should be considered as strong candidates for ABS-resistance. Moreover, the closest SNP was genotyped in 40 citrus varieties, revealing very high association with the resistant/susceptible phenotype. This new marker is currently used in our citrus breeding program for ABS-resistant parent and cultivar selection, at diploid, triploid and tetraploid level. PMID:28066498

  7. SNP rs8099917 in Gene IL28B Might Be Associated with Risk of Chronic Infection by HCV but Not with Response to Treatment

    Directory of Open Access Journals (Sweden)

    Simone Regina Souza da Silva Conde

    2014-01-01

    Full Text Available Aim. The aim of this study was to characterize the genetic profile of patients with chronic hepatitis C virus (HCV infection relative to polymorphisms rs12979860 and rs8099917 in gene IL28B and the association of those polymorphisms with the response to treatment with pegylated interferon and ribavirin, performed at a reference center in Brazilian Amazonia. Methods. A total of 75 individuals with chronic hepatitis C and 98 healthy individuals from both genders over 18 years old were assessed. DNA samples were collected from leukocytes and subjected to real-time polymerase chain reaction to genotype polymorphisms rs12979860 and rs8099917. Results. Analysis of the allelic and genotypic frequencies of the investigated polymorphisms showed that both groups were in Hardy-Weinberg equilibrium; polymorphism rs12979860 exhibited no significant difference between the groups. For polymorphism rs8099917, allele T was significantly less frequent (P=0.0195 among the patients (63.3% than the controls (75.5%, and the patients were 1.7 times as likely to exhibit allele G. No difference in response to treatment was associated with SNP patterns. Conclusion. The results suggest a possible association of SNP rs8099917 with higher odds of chronic HCV infection but do not indicate a putative influence of the investigated SNPs on the sustained virologic response.

  8. Contrasting signals of positive selection in genes involved in human skin-color variation from tests based on SNP scans and resequencing

    Directory of Open Access Journals (Sweden)

    de Gruijter Johanna

    2011-12-01

    Full Text Available Abstract Background Numerous genome-wide scans conducted by genotyping previously ascertained single-nucleotide polymorphisms (SNPs have provided candidate signatures for positive selection in various regions of the human genome, including in genes involved in pigmentation traits. However, it is unclear how well the signatures discovered by such haplotype-based test statistics can be reproduced in tests based on full resequencing data. Four genes (oculocutaneous albinism II (OCA2, tyrosinase-related protein 1 (TYRP1, dopachrome tautomerase (DCT, and KIT ligand (KITLG implicated in human skin-color variation, have shown evidence for positive selection in Europeans and East Asians in previous SNP-scan data. In the current study, we resequenced 4.7 to 6.7 kb of DNA from each of these genes in Africans, Europeans, East Asians, and South Asians. Results Applying all commonly used neutrality-test statistics for allele frequency distribution to the newly generated sequence data provided conflicting results regarding evidence for positive selection. Previous haplotype-based findings could not be clearly confirmed. Although some tests were marginally significant for some populations and genes, none of them were significant after multiple-testing correction. Combined P values for each gene-population pair did not improve these results. Application of Approximate Bayesian Computation Markov chain Monte Carlo based to these sequence data using a simple forward simulator revealed broad posterior distributions of the selective parameters for all four genes, providing no support for positive selection. However, when we applied this approach to published sequence data on SLC45A2, another human pigmentation candidate gene, we could readily confirm evidence for positive selection, as previously detected with sequence-based and some haplotype-based tests. Conclusions Overall, our data indicate that even genes that are strong biological candidates for positive

  9. Impact of a cis-associated gene expression SNP in 20q11.22 on bipolar disorder susceptibility, hippocampal structure and cognitive performance

    Science.gov (United States)

    Li, Ming; Luo, Xiong-jian; Landén, Mikael; Bergen, Sarah E.; Hultman, Christina M.; Li, Xiao; Zhang, Wen; Yao, Yong-Gang; Zhang, Chen; Liu, Jiewei; Mattheisen, Manuel; Cichon, Sven; Mühleisen, Thomas W.; Degenhardt, Franziska A.; Nöthen, Markus M.; Schulze, Thomas G.; Grigoroiu-Serbanescu, Maria; Li, Hao; Fuller, Chris K.; Chen, Chunhui; Dong, Qi; Chen, Chuansheng; Jamain, Stéphane; Leboyer, Marion; Bellivier, Frank; Etain, Bruno; Kahn, Jean-Pierre; Henry, Chantal; Preisig, Martin; Kutalik, Zoltán; Castelao, Enrique; Wright, Adam; Mitchell, Philip B.; Fullerton, Janice M.; Schofield, Peter R.; Montgomery, Grant W.; Medland, Sarah E.; Gordon, Scott D.; Martin, Nicholas G.; Rietschel, Marcella; Liu, Chunyu; Kleinman, Joel E.; Hyde, Thomas M.; Weinberger, Daniel R.; Su, Bing

    2016-01-01

    Summary Bipolar disorder (BPD) is a highly heritable polygenic disorder. Recent enrichment analyses suggest that there may be true risk variants for BPD among the expression quantitative trait loci (eQTL) in the brain. Aims We sought to assess the impact of eQTL variants on BPD risk by combining data from both BPD genome-wide association study (GWAS) and brain eQTL. Method To detect single-nucleotide polymorphisms (SNPs) that influence expression levels of genes associated with BPD, we jointly analyzed data from a BPD GWAS (7,481 cases and 9,250 controls) and a genome-wide brain (cortical) eQTL (193 healthy controls) using a Bayesian statistical method, with independent follow-up replications. The identified risk SNP was then further tested for association with hippocampal volume (N=5,775) and cognitive performance (N=342) among healthy subjects. Results Integrative analysis revealed a significant association between a brain eQTL rs6088662 in 20q11.22 and BPD (Log Bayes Factor=5.48; BPD p-val=5.85×10−5). Follow-up studies across multiple independent samples confirmed the association of the risk SNP (rs6088662) with gene expression and BPD susceptibility (p-val=3.54×10−8). Further exploratory analysis revealed that rs6088662 is also associated with hippocampal volume and cognitive performance in healthy subjects. Conclusions Our findings suggest that 20q11.22 is likely a risk region for BPD, highlighting the informativeness of integrating functional annotation of genetic variants for gene expression in advancing our understanding of the biological basis underlying complex diseases such as BPD. PMID:26338991

  10. A functional SNP catalog of overlapping miRNA-binding sites in genes implicated in prion disease and other neurodegenerative disorders.

    Science.gov (United States)

    Saba, Reuben; Medina, Sarah J; Booth, Stephanie A

    2014-10-01

    The involvement of SNPs in miRNA target sites remains poorly investigated in neurodegenerative disease. In addition to associations with disease risk, such genetic variations can also provide novel insight into mechanistic pathways that may be responsible for disease etiology and/or pathobiology. To identify SNPs associated specifically with degenerating neurons, we restricted our analysis to genes that are dysregulated in CA1 hippocampal neurons of mice during early, preclinical phase of Prion disease. The 125 genes chosen are also implicated in other numerous degenerative and neurological diseases and disorders and are therefore likely to be of fundamental importance. We predicted those SNPs that could increase, decrease, or have neutral effects on miRNA binding. This group of genes was more likely to possess DNA variants than were genes chosen at random. Furthermore, many of the SNPs are common within the human population, and could contribute to the growing awareness that miRNAs and associated SNPs could account for detrimental neurological states. Interestingly, SNPs that overlapped miRNA-binding sites in the 3'-UTR of GABA-receptor subunit coding genes were particularly enriched. Moreover, we demonstrated that SNP rs9291296 would strengthen miR-26a-5p binding to a highly conserved site in the 3'-UTR of gamma-aminobutyric acid receptor subunit alpha-4.

  11. Generation of genome-scale gene-associated SNPs in catfish for the construction of a high-density SNP array

    Directory of Open Access Journals (Sweden)

    Kaltenboeck Ludmilla

    2011-01-01

    Full Text Available Abstract Background Single nucleotide polymorphisms (SNPs have become the marker of choice for genome-wide association studies. In order to provide the best genome coverage for the analysis of performance and production traits, a large number of relatively evenly distributed SNPs are needed. Gene-associated SNPs may fulfill these requirements of large numbers and genome wide distribution. In addition, gene-associated SNPs could themselves be causative SNPs for traits. The objective of this project was to identify large numbers of gene-associated SNPs using high-throughput next generation sequencing. Results Transcriptome sequencing was conducted for channel catfish and blue catfish using Illumina next generation sequencing technology. Approximately 220 million reads (15.6 Gb for channel catfish and 280 million reads (19.6 Gb for blue catfish were obtained by sequencing gene transcripts derived from various tissues of multiple individuals from a diverse genetic background. A total of over 35 billion base pairs of expressed short read sequences were generated. Over two million putative SNPs were identified from channel catfish and almost 2.5 million putative SNPs were identified from blue catfish. Of these putative SNPs, a set of filtered SNPs were identified including 342,104 intra-specific SNPs for channel catfish, 366,269 intra-specific SNPs for blue catfish, and 420,727 inter-specific SNPs between channel catfish and blue catfish. These filtered SNPs are distributed within 16,562 unique genes in channel catfish and 17,423 unique genes in blue catfish. Conclusions For aquaculture species, transcriptome analysis of pooled RNA samples from multiple individuals using Illumina sequencing technology is both technically efficient and cost-effective for generating expressed sequences. Such an approach is most effective when coupled to existing EST resources generated using traditional sequencing approaches because the reference ESTs facilitate

  12. Selection of SNP subsets for association studies in candidate genes: comparison of the power of different strategies to detect single disease susceptibility locus effects

    Directory of Open Access Journals (Sweden)

    Deleuze Jean-Francois

    2006-04-01

    Full Text Available Abstract Background The recent advances in genotyping and molecular techniques have greatly increased the knowledge of the human genome structure. Millions of polymorphisms are reported and freely available in public databases. As a result, there is now a need to identify among all these data, the relevant markers for genetic association studies. Recently, several methods have been published to select subsets of markers, usually Single Nucleotide Polymorphisms (SNPs, that best represent genetic polymorphisms in the studied candidate gene or region. Results In this paper, we compared four of these selection methods, two based on haplotype information and two based on pairwise linkage disequilibrium (LD. The methods were applied to the genotype data on twenty genes with different patterns of LD and different numbers of SNPs. A measure of the efficiency of the different methods to select SNPs was obtained by comparing, for each gene and under several single disease susceptibility models, the power to detect an association that will be achieved with the selected SNP subsets. Conclusion None of the four selection methods stands out systematically from the others. Methods based on pairwise LD information turn out to be the most interesting methods in a context of association study in candidate gene. In a context where the number of SNPs to be tested in a given region needs to be more limited, as in large-scale studies or wide genome scans, one of the two methods based on haplotype information, would be more suitable.

  13. Concurrent genotyping of Helicobacter pylori virulence genes and human cytokine SNP sites using whole genome amplified DNA derived from minute amounts of gastric biopsy specimen DNA

    Directory of Open Access Journals (Sweden)

    Borch Kurt

    2008-10-01

    Full Text Available Abstract Background Bacterial and cellular genotyping is becoming increasingly important in the diagnosis of infectious diseases. However, difficulties in obtaining sufficient amount of bacterial and cellular DNA extracted from the same human biopsy specimens is often a limiting factor. In this study, total DNA (host and bacterial DNA was isolated from minute amounts of gastric biopsy specimens and amplified by means of whole genome amplification using the multiple displacement amplification (MDA technique. Subsequently, MDA-DNA was used for concurrent Helicobacter pylori and human host cellular DNA genotyping analysis using PCR-based methods. Results Total DNA was isolated from gastric biopsy specimens of 12 subjects with gastritis and 16 control subjects having a normal mucosa. The DNA was amplified using a multiple displacement amplification (MDA kit. Next, concurrent genotyping was performed using H. pylori-specific virulence gene PCR amplification assays, pyrosequencing of bacterial 16S rDNA and PCR characterisation of various host genes. This includes Interleukin 1-beta (IL1B and Interferon-gamma receptor (IFNGR1 SNP analysis, and Interleukin-1 receptor antagonist (IL1RN variable tandem repeats (VNTR in intron 2. Finally, regions of the vacA-gene were PCR amplified using M13-sequence tagged primers which allowed for direct DNA sequencing, omitting cloning of PCR amplicons. H. pylori specific multiplex PCR assays revealed the presence of H. pylori cagA and vacA genotypic variations in 11 of 12 gastritis biopsy specimens. Using pyrosequencing, 16S rDNA variable V3 region signatures of H. pylori were found in 11 of 12 individuals with gastritis, but in none of the control subjects. Similarly, IL1B and IFNGR1-SNP and IL1RN-VNTR patterns could be established in all individuals. Furthermore, sequencing of M13-sequence tagged vacA-PCR amplicons revealed the presence of highly diverse H. pylori vacA-s/i/m regions. Conclusion The PCR

  14. Association of a genetic polymorphism (-44 C/G SNP in the human DEFB1 gene with expression and inducibility of multiple β-defensins in gingival keratinocytes

    Directory of Open Access Journals (Sweden)

    Dommisch Henrik

    2009-08-01

    Full Text Available Abstract Background Human β-defensins (hBDs are antimicrobial peptides with a role in innate immune defense. Our laboratory previously showed that a single nucleotide polymorphism (SNP in the 5' untranslated region of the hBD1 gene (DEFB1, denoted -44 (rs1800972, is correlated with protection from oral Candida. Because this SNP alters the putative mRNA structure, we hypothesized that it alters hBD1 expression. Methods Transfection of reporter constructs and evaluation of antimicrobial activity and mRNA expression levels in keratinocytes from multiple donors were used to evaluate the effect of this SNP on constitutive and induced levels of expression. Results Transfection of CAT reporter constructs containing the 5' untranslated region showed that the -44 G allele yielded a 2-fold increase in CAT protein compared to other common haplotypes suggesting a cis effect on transcription or translation. The constitutive hBD1 mRNA level in human oral keratinocytes was significantly greater in cells from donors with the -44 GG genotype compared to those with the common CC genotype. Surprisingly, the hBD3 mRNA level as well as antimicrobial activity of keratinocyte extracts also correlated with the -44 G allele. Induced levels of hBD1, hBD2, and hBD3 mRNA were evaluated in keratinocytes challenged with Toll-like receptor 2 and 4 ligands, interleukin-1β, TNFα, and interferon-γ (IFNγ. In contrast to constitutive expression levels, IFNγ-induced keratinocyte hBD1 and hBD3 mRNA expression was significantly greater in cells with the common CC genotype, but there was no clear correlation of genotype with hBD2 expression. Conclusion The DEFB1 -44 G allele is associated with an increase in overall constitutive antimicrobial activity and expression of hBD1 and hBD3 in a manner that is consistent with protection from candidiasis, while the more common C allele is associated with IFNγ inducibility of these β-defensins and is likely to be more protective in

  15. Selection and validation of potato candidate genes for maturity corrected resistance to Phytophthora infestans based on differential expression combined with SNP association and linkage mapping

    Directory of Open Access Journals (Sweden)

    Meki Shehabu Muktar

    2015-09-01

    Full Text Available Late blight of potato (Solanum tuberosum L. caused by the oomycete Phytophthora infestans (Mont. de Bary, is one of the most important bottlenecks of potato production worldwide. Cultivars with high levels of durable, race unspecific, quantitative resistance are part of a solution to this problem. However, breeding for quantitative resistance is hampered by the correlation between resistance and late plant maturity, which is an undesirable agricultural attribute. The objectives of our research are (i the identification of genes that condition quantitative resistance to P. infestans not compromised by late plant maturity and (ii the discovery of diagnostic single nucleotide polymorphism (SNP markers to be used as molecular tools to increase efficiency and precision of resistance breeding. Twenty two novel candidate genes were selected based on comparative transcript profiling by SuperSAGE (serial analysis of gene expression in groups of plants with contrasting levels of maturity corrected resistance (MCR. Reproducibility of differential expression was tested by quantitative real time PCR and allele specific pyrosequencing in four new sets of genotype pools with contrasting late blight resistance levels, at three infection time points and in three independent infection experiments. Reproducibility of expression patterns ranged from 28% to 97%. Association mapping in a panel of 184 tetraploid cultivars identified SNPs in five candidate genes that were associated with MCR. These SNPs can be used in marker-assisted resistance breeding. Linkage mapping in two half-sib families (n = 111 identified SNPs in three candidate genes that were linked with MCR. The differentially expressed genes that showed association and/or linkage with MCR putatively function in phytosterol synthesis, fatty acid synthesis, asparagine synthesis, chlorophyll synthesis, cell wall modification and in the response to pathogen elicitors.

  16. Common SNP-Based Haplotype Analysis of the 4p16.3 Huntington Disease Gene Region

    Science.gov (United States)

    Lee, Jong-Min; Gillis, Tammy; Mysore, Jayalakshmi Srinidhi; Ramos, Eliana Marisa; Myers, Richard H.; Hayden, Michael R.; Morrison, Patrick J.; Nance, Martha; Ross, Christopher A.; Margolis, Russell L.; Squitieri, Ferdinando; Griguoli, Annamaria; Di Donato, Stefano; Gomez-Tortosa, Estrella; Ayuso, Carmen; Suchowersky, Oksana; Trent, Ronald J.; McCusker, Elizabeth; Novelletto, Andrea; Frontali, Marina; Jones, Randi; Ashizawa, Tetsuo; Frank, Samuel; Saint-Hilaire, Marie-Helene; Hersch, Steven M.; Rosas, Herminia D.; Lucente, Diane; Harrison, Madaline B.; Zanko, Andrea; Abramson, Ruth K.; Marder, Karen; Sequeiros, Jorge; MacDonald, Marcy E.; Gusella, James F.

    2012-01-01

    Age at the onset of motor symptoms in Huntington disease (HD) is determined largely by the length of a CAG repeat expansion in HTT but is also influenced by other genetic factors. We tested whether common genetic variation near the mutation site is associated with differences in the distribution of expanded CAG alleles or age at the onset of motor symptoms. To define disease-associated single-nucleotide polymorphisms (SNPs), we compared 4p16.3 SNPs in HD subjects with population controls in a case:control strategy, which revealed that the strongest signals occurred at a great distance from the HD mutation as a result of “synthetic association” with SNP alleles that are of low frequency in population controls. Detailed analysis delineated a prominent ancestral haplotype that accounted for ∼50% of HD chromosomes and extended to at least 938 kb on about half of these. Together, the seven most abundant haplotypes accounted for ∼83% of HD chromosomes. Neither the extended shared haplotype nor the individual local HTT haplotypes were associated with altered CAG-repeat length distribution or residual age at the onset of motor symptoms, arguing against modification of these disease features by common cis-regulatory elements. Similarly, the 11 most frequent control haplotypes showed no trans-modifier effect on age at the onset of motor symptoms. Our results argue against common local regulatory variation as a factor influencing HD pathogenesis, suggesting that genetic modifiers be sought elsewhere in the genome. They also indicate that genome-wide association analysis with a small number of cases can be effective for regional localization of genetic defects, even when a founder effect accounts for only a fraction of the disorder. PMID:22387017

  17. Application of real-time PCR-based SNP detection for mapping of Net2, a causal D-genome gene for hybrid necrosis in interspecific crosses between tetraploid wheat and Aegilops tauschii.

    Science.gov (United States)

    Matsuda, Ryusuke; Iehisa, Julio C M; Takumi, Shigeo

    2012-01-01

    Available information on genetically assigned molecular markers is not sufficient for efficient construction of a high-density linkage map in wheat. Here, we report on application of high resolution melting (HRM) analysis using a real-time PCR apparatus to develop single nucleotide polymorphism (SNP) markers linked to a hybrid necrosis gene, Net2, located on wheat chromosome 2D. Based on genomic information on barley chromosome 2H and wheat expressed sequence tag libraries, we selected wheat cDNA sequences presumed to be located near the Net2 chromosomal region, and then found SNPs between the parental Ae. tauschii accessions of the synthetic wheat mapping population. HRM analysis of the PCR products from F(2) individuals' DNA enabled us to assign 44.4% of the SNP-representing cDNAs to chromosome 2D despite the presence of the A and B genomes. In addition, the designed SNP markers were assigned to chromosome 2D of Ae. tauschii. The order of the assigned SNP markers in synthetic hexaploid wheat was confirmed by comparison with the markers in barley and Ae. tauschii. Thus, the SNP-genotyping method based on HRM analysis is a useful tool for development of molecular markers at target loci in wheat.

  18. SNP interaction pattern identifier (SIPI)

    DEFF Research Database (Denmark)

    Lin, Hui-Yi; Chen, Dung-Tsa; Huang, Po-Yu

    2016-01-01

    MOTIVATION: Testing SNP-SNP interactions is considered as a key for overcoming bottlenecks of genetic association studies. However, related statistical methods for testing SNP-SNP interactions are underdeveloped. RESULTS: We propose the SNP Interaction Pattern Identifier (SIPI), which tests 45...

  19. CYP1B1 SNP rs 1056836基因多态性与紫杉醇血药浓度关系研究%Relationship of CYP1B1 SNP rs 1056836 gene polymorphism with plasma paclitaxel concentrations

    Institute of Scientific and Technical Information of China (English)

    国玉芝; 荆洪英; 李贵和; 太史婧华; 张志国

    2014-01-01

    目的:研究CYP1B1 SNP rs 1056836基因多态性与紫杉醇血药浓度关系.方法:应用高效液相色谱法检测紫杉醇血药浓度,应用聚合酶链式反应-限制性片段长度多态性法检测CYP1B1 SNP rs 1056836基因多态性,研究3种基因型患者各10名紫杉醇血药浓度差异.结果:CYP1B1 SNP rs 1056836 CC基因型的紫杉醇血药浓度为(0.086±0.028)μg·ml-1,CG型为(0.098±0.029)μg·ml-1,GG型为(0.111±0.031)μg·ml-1.结论:CYP1B1基因多态性与紫杉醇血药浓度有一定关联,但差异没有显著性(P>0.05).

  20. Identification of candidate genes and mutations in QTL regions for chicken growth using bioinformatic analysis of NGS and SNP-chip data

    Directory of Open Access Journals (Sweden)

    Muhammad eAhsan

    2013-11-01

    Full Text Available Mapping of chromosomal regions harboring genetic polymorphisms that regulate complex traits is usually followed by a search for the causative mutations underlying the observed effects. This is often a challenging task even after fine mapping, as millions of base pairs including many genes will typically need to be investigated. Thus to trace the causative mutation(s there is a great need for efficient bioinformatic strategies. Here, we searched for genes and mutations regulating growth in the Virginia chicken lines – an experimental population comprising two lines that have been divergently selected for body weight at 56 days for more than 50 generations. Several QTL regions have been mapped in an F2 intercross between the lines, and the regions have subsequently been replicated and fine mapped using an Advanced Intercross Line. We have further analyzed the QTL regions where the largest genetic divergence between the High-Weight selected (HWS and Low-Weight selected (LWS lines was observed. Such regions, covering about 37% of the actual QTL regions, were identified by comparing the allele frequencies of the HWS and LWS lines using both individual 60K SNP chip genotyping of birds and analysis of read proportions from genome resequencing of DNA pools. Based on a combination of criteria including significance of the QTL, allele frequency difference of identified mutations between the selected lines, gene information on relevance for growth, and the predicted functional effects of identified mutations we propose here a subset of candidate mutations of highest priority for further evaluation in functional studies. The candidate mutations were identified within the GCG, IGFBP2, GRB14, CRIM1, FGF16, VEGFR-2, ALG11, EDN1, SNX6 and BIRC7 genes. We believe that the proposed method of combining different types of genomic information increases the probability that the genes underlying the observed QTL effects are represented among the candidate mutations

  1. Molecular cloning, SNP detection and association analysis of 5' flanking region of the goat IGF1 gene with prolificacy.

    Science.gov (United States)

    Thomas, Naicy; Venkatachalapathy, Thirupathy; Aravindakshan, Thazhathuveettil; Raghavan, K C

    2016-04-01

    The insulin-like growth factor 1 has an important role in reproduction, foetal development and growth. It regulates the secretion of gonadotrophin releasing hormone, stimulates ovarian function and steroidogenesis. The present study was conducted to characterise the 5' flanking region of goat IGF 1 gene, ascertain ovarian expression of the IGF1 gene, detect SNPs and assess the association with prolificacy in the two indigenous goat breeds of South India viz., low prolific Attappady Black and high prolific Malabari. The 5' flanking region of IGF1 gene was PCR amplified, cloned and sequenced from both breeds. Genotyping was performed in 277 goats from the two genetic groups using the PCR-Single Strand Conformational Polymorphism (SSCP) and the expression of the IGF1 gene in the ovary was analysed by quantitative real time PCR. The 5' flanking region of the IGF1 gene was 601 bp long and located at 450 bp upstream of the start codon. Sequence exhibited 97-99% similarity with that of the sheep, cattle and sika deer IGF1 genes. Three genotypes, PP, PQ and QR were observed at this locus with the frequency of 0.62, 0.30 and 0.08, respectively. Sequencing of the representative PCR products from each genotype revealed two SNPs, g.224A>G and g.227C>T. The population was found to be in Hardy-Weinberg disequilibrium at both loci. Statistical results indicated that these loci were associated with litter size (P ≤ 0.05). However, no significant difference was found in the expression of the IGF1 gene in the ovaries of the two goat breeds. These results suggest the significant influence of the IGF1 gene on prolificacy in goats and identified SNPs would benefit the selection of prolific animals in future breeding programs.

  2. Genome-wide copy number profiling using a 100K SNP array reveals novel disease-related genes BORIS and TSHZ1 in juvenile angiofibroma.

    Science.gov (United States)

    Schick, Bernhard; Wemmert, Silke; Willnecker, Vivienne; Dlugaiczyk, Julia; Nicolai, Piero; Siwiec, Henryk; Thiel, Christian T; Rauch, Anita; Wendler, Olaf

    2011-11-01

    Juvenile angiofibroma (JA) is a unique fibrovascular tumor, which is almost exclusively found in the posterior nasal cavity of adolescent males. Although histologically classified as benign, the tumor often shows an aggressive growth pattern and has been associated with chromosomal imbalances, amplification of oncogenes and epigenetic dysregulation. We present the first genome-wide profiling of JAs (n=14) with a 100K single nucleotide polymorphism (SNP) microarray. Among the 30 novel JA-specific amplifications detected on autosomal chromosomes with this technique, the genes encoding the cancer-testis antigen BORIS (brother of the regulator of imprinted sites) and the developmental regulator protein TSHZ1 (teashirt zinc finger homeobox 1) were selected for further analysis. Gains for both BORIS (20q13.3) and TSHZ1 (18q22.3) were confirmed by quantitative genomic PCR. Furthermore, quantitative RT-PCR revealed a significant up-regulation of BORIS (ptool for identifying novel disease-related genes in JAs and newly implicates BORIS and TSHZ1 overexpression in the pathogenesis of JAs. Detection of BORIS in JAs is described with special regard to tumor proliferation and epigenetic dysregulation, and the finding of TSHZ1 amplifications is discussed with special respect to the hypothesis of JAs as malformations of the first branchial arch artery.

  3. SNP analysis of the inter-alpha-trypsin inhibitor family heavy chain-related protein (IHRP gene by a fluorescence-adapted SSCP method

    Directory of Open Access Journals (Sweden)

    Taniyama Matsuo

    2002-07-01

    Full Text Available Abstract Background Single-nucleotide polymorphisms (SNPs are considered to be useful polymorphic markers for genetic studies of polygenic traits. Single-stranded conformational polymorphism (SSCP analysis has been widely applied to detect SNPs, including point mutations in cancer and congenital diseases. In this study, we describe an application of the fluorescent labeling of PCR fragments using a fluorescent-adapted primer for SSCP analysis as a novel method. Methods Single-nucleotide polymorphisms (SNPs of the inter-alpha-trypsin inhibitor family heavy chain-related protein (IHRP gene were analyzed using a fluorescence-adapted SSCP method. The method was constructed from two procedures: 1 a fluorescent labeling reaction of PCR fragments using fluorescence-adapted primers in a single tube, and 2 electrophoresis on a non-denaturing polyacrylamide gel. Results This method was more economical and convenient than the single-stranded conformational polymorphism (SSCP methods previously reported in the detection of the labeled fragments obtained. In this study, eight SNPs of the IHRP gene were detected by the fluorescence-adapted SSCP. One of the SNPs was a new SNP resulting in an amino acid substitution, while the other SNPs have already been reported in the public databases. Six SNPs of the IHRP were associated with two haplotypes. Conclusions The fluorescence-adapted SSCP was useful for detecting and genotyping SNPs.

  4. Comprehensive SNP scan of DNA repair and DNA damage response genes reveal multiple susceptibility loci conferring risk to tobacco associated leukoplakia and oral cancer.

    Science.gov (United States)

    Mondal, Pinaki; Datta, Sayantan; Maiti, Guru Prasad; Baral, Aradhita; Jha, Ganga Nath; Panda, Chinmay Kumar; Chowdhury, Shantanu; Ghosh, Saurabh; Roy, Bidyut; Roychoudhury, Susanta

    2013-01-01

    Polymorphic variants of DNA repair and damage response genes play major role in carcinogenesis. These variants are suspected as predisposition factors to Oral Squamous Cell Carcinoma (OSCC). For identification of susceptible variants affecting OSCC development in Indian population, the "maximally informative" method of SNP selection from HapMap data to non-HapMap populations was applied. Three hundred twenty-five SNPs from 11 key genes involved in double strand break repair, mismatch repair and DNA damage response pathways were genotyped on a total of 373 OSCC, 253 leukoplakia and 535 unrelated control individuals. The significantly associated SNPs were validated in an additional cohort of 144 OSCC patients and 160 controls. The rs12515548 of MSH3 showed significant association with OSCC both in the discovery and validation phases (discovery P-value: 1.43E-05, replication P-value: 4.84E-03). Two SNPs (rs12360870 of MRE11A, P-value: 2.37E-07 and rs7003908 of PRKDC, P-value: 7.99E-05) were found to be significantly associated only with leukoplakia. Stratification of subjects based on amount of tobacco consumption identified SNPs that were associated with either high or low tobacco exposed group. The study reveals a synergism between associated SNPs and lifestyle factors in predisposition to OSCC and leukoplakia.

  5. Genetic regulation of parasite infection: empirical evidence of the functional significance of an IL4 gene SNP on nematode infections in wild primates

    Directory of Open Access Journals (Sweden)

    Kappeler Peter M

    2011-04-01

    Full Text Available Abstract Background Susceptibility to parasite infection affects fitness-related processes, such as mate choice and survival, yet its genetic regulation remains poorly understood. Interleukin-4 (IL4 plays a central role in the humoral immune defence against nematode parasite infections, inducing IgE switch and regulation of worm expulsion from the intestines. The evolutionary and functional significance of single nucleotide polymorphisms (SNPs in IL4-genes is known, yet empirical information on the effect of IL4 SNPs on gastro-intestinal infections is lacking. Using samples from a population of wild red-fronted lemurs (Eulemur fulvus rufus, Primates: Lemuridae, from western Madagascar, we explored the association of IL4-gene promoter polymorphisms with nematode infections and investigated a possible functional role of the IL4 polymorphism on male reproductive success. Results Using sequence analyses of lemur DNA we detected a new SNP in the IL4 gene promoter area. Carriers of the genotype T/T showed higher nematode infection intensities than individuals of genotypes C/T and C/C. Genetic population analyses using data from more than 10 years, suggested higher reproductive success of T/T males than expected. Conclusions Our results suggest a regulatory effect of an IL4 gene promoter polymorphism on the intensity of parasite infections in a natural population of red-fronted lemurs, with a seemingly disadvantageous genotype represented in low frequencies. Long-term population analyses, however, point in the direction of a negative frequency-dependent association, giving a fitness advantage to the rare genotype. Due to low frequencies of the genotype in question conclusive evidence of a functional role of IL4 polymorphism cannot be drawn here; still, we suggest the use of IL4 polymorphism as a new molecular tool for quick assessment of individual genetic constitution with regard to nematode infection intensities, contributing to a better

  6. Integration of Genome-Wide SNP Data and Gene-Expression Profiles Reveals Six Novel Loci and Regulatory Mechanisms for Amino Acids and Acylcarnitines in Whole Blood.

    Directory of Open Access Journals (Sweden)

    Ralph Burkhardt

    2015-09-01

    Full Text Available Profiling amino acids and acylcarnitines in whole blood spots is a powerful tool in the laboratory diagnosis of several inborn errors of metabolism. Emerging data suggests that altered blood levels of amino acids and acylcarnitines are also associated with common metabolic diseases in adults. Thus, the identification of common genetic determinants for blood metabolites might shed light on pathways contributing to human physiology and common diseases. We applied a targeted mass-spectrometry-based method to analyze whole blood concentrations of 96 amino acids, acylcarnitines and pathway associated metabolite ratios in a Central European cohort of 2,107 adults and performed genome-wide association (GWA to identify genetic modifiers of metabolite concentrations. We discovered and replicated six novel loci associated with blood levels of total acylcarnitine, arginine (both on chromosome 6; rs12210538, rs17657775, propionylcarnitine (chromosome 10; rs12779637, 2-hydroxyisovalerylcarnitine (chromosome 21; rs1571700, stearoylcarnitine (chromosome 1; rs3811444, and aspartic acid traits (chromosome 8; rs750472. Based on an integrative analysis of expression quantitative trait loci in blood mononuclear cells and correlations between gene expressions and metabolite levels, we provide evidence for putative causative genes: SLC22A16 for total acylcarnitines, ARG1 for arginine, HLCS for 2-hydroxyisovalerylcarnitine, JAM3 for stearoylcarnitine via a trans-effect at chromosome 1, and PPP1R16A for aspartic acid traits. Further, we report replication and provide additional functional evidence for ten loci that have previously been published for metabolites measured in plasma, serum or urine. In conclusion, our integrative analysis of SNP, gene-expression and metabolite data points to novel genetic factors that may be involved in the regulation of human metabolism. At several loci, we provide evidence for metabolite regulation via gene-expression and observed

  7. Identification of Single Nucleotide Polymorphism (SNP in Mono Amine Oxidase A (MAO-A Gene as a genetic marker for aggressiveness in sheep

    Directory of Open Access Journals (Sweden)

    Eko Handiwirawan

    2012-12-01

    Full Text Available In the population, there are aggressive sheep in a small number which requires special management those specific animal house and routine management. The purpose of this study was to identify the variation of DNA marker SNP (single nucleotide polymorphism as a genetic marker for the aggressive trait in several of sheep breed. The identification of point mutations in exon 8 of MAO-A gene associated with aggressive behavior in sheep may be further useful to become of DNA markers for the aggressive trait in sheep. Five of sheep breed were used, i.e.: Barbados Black belly Cross sheep (BC, Composite Garut (KG, Local Garut (LG, Composite Sumatra (KS and St. Cross Croix (SC. Duration of ten behavior traits, blood serotonin concentrations and DNA sequence of exon 8 of MAO-A gene from the sheep aggressive and nonaggressive were observed. PROC GLM of SAS Ver. 9.0 program was used to analyze variable behavior and blood serotonin concentrations. DNA polymorphism in exon 8 of MAO-A gene was analyzed using the MEGA software Ver. 4.0. The results show that the percentage of the aggressive rams of each breed was less than 10 percent; except for the KS sheep is higher (23%. Based on the duration of behavior, aggressive sheep group was not significantly different with non aggressive sheep group, except duration of care giving and drinking behavior. It is known that concentration of blood serotonin in aggressive and non aggressive rams was not significantly different. The aggressive trait in sheep has a mechanism or a different cause like that occurs in mice and humans. In this study, aggressive behavior in sheep was not associated with a mutation in exon 8 of MAO-A gene.

  8. Integration of novel SSR and gene-based SNP marker loci in the chickpea genetic map and establishment of new anchor points with Medicago truncatula genome

    Science.gov (United States)

    Nayak, Spurthi N.; Zhu, Hongyan; Varghese, Nicy; Datta, Subhojit; Choi, Hong-Kyu; Horres, Ralf; Jüngling, Ruth; Singh, Jagbir; Kavi Kishor, P. B.; Sivaramakrishnan, S.; Hoisington, Dave A.; Kahl, Günter; Winter, Peter; Cook, Douglas R.

    2010-01-01

    This study presents the development and mapping of simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) markers in chickpea. The mapping population is based on an inter-specific cross between domesticated and non-domesticated genotypes of chickpea (Cicer arietinum ICC 4958 × C. reticulatum PI 489777). This same population has been the focus of previous studies, permitting integration of new and legacy genetic markers into a single genetic map. We report a set of 311 novel SSR markers (designated ICCM—ICRISAT chickpea microsatellite), obtained from an SSR-enriched genomic library of ICC 4958. Screening of these SSR markers on a diverse panel of 48 chickpea accessions provided 147 polymorphic markers with 2–21 alleles and polymorphic information content value 0.04–0.92. Fifty-two of these markers were polymorphic between parental genotypes of the inter-specific population. We also analyzed 233 previously published (H-series) SSR markers that provided another set of 52 polymorphic markers. An additional 71 gene-based SNP markers were developed from transcript sequences that are highly conserved between chickpea and its near relative Medicago truncatula. By using these three approaches, 175 new marker loci along with 407 previously reported marker loci were integrated to yield an improved genetic map of chickpea. The integrated map contains 521 loci organized into eight linkage groups that span 2,602 cM, with an average inter-marker distance of 4.99 cM. Gene-based markers provide anchor points for comparing the genomes of Medicago and chickpea, and reveal extended synteny between these two species. The combined set of genetic markers and their integration into an improved genetic map should facilitate chickpea genetics and breeding, as well as translational studies between chickpea and Medicago. Electronic supplementary material The online version of this article (doi:10.1007/s00122-010-1265-1) contains supplementary material, which is

  9. A genome-wide SNP-association study confirms a sequence variant (g.66493737C>T) in the equine myostatin (MSTN) gene as the most powerful predictor of optimum racing distance for Thoroughbred racehorses.

    Science.gov (United States)

    Hill, Emmeline W; McGivney, Beatrice A; Gu, Jingjing; Whiston, Ronan; Machugh, David E

    2010-10-11

    Thoroughbred horses have been selected for traits contributing to speed and stamina for centuries. It is widely recognized that inherited variation in physical and physiological characteristics is responsible for variation in individual aptitude for race distance, and that muscle phenotypes in particular are important. A genome-wide SNP-association study for optimum racing distance was performed using the EquineSNP50 Bead Chip genotyping array in a cohort of n = 118 elite Thoroughbred racehorses divergent for race distance aptitude. In a cohort-based association test we evaluated genotypic variation at 40,977 SNPs between horses suited to short distance (≤ 8 f) and middle-long distance (> 8 f) races. The most significant SNP was located on chromosome 18: BIEC2-417495 ~690 kb from the gene encoding myostatin (MSTN) [P(unadj.) = 6.96 x 10⁻⁶]. Considering best race distance as a quantitative phenotype, a peak of association on chromosome 18 (chr18:65809482-67545806) comprising eight SNPs encompassing a 1.7 Mb region was observed. Again, similar to the cohort-based analysis, the most significant SNP was BIEC2-417495 (P(unadj.) = 1.61 x 10⁻⁹; P(Bonf.) = 6.58 x 10⁻⁵). In a candidate gene study we have previously reported a SNP (g.66493737C>T) in MSTN associated with best race distance in Thoroughbreds; however, its functional and genome-wide relevance were uncertain. Additional re-sequencing in the flanking regions of the MSTN gene revealed four novel 3' UTR SNPs and a 227 bp SINE insertion polymorphism in the 5' UTR promoter sequence. Linkage disequilibrium was highest between g.66493737C>T and BIEC2-417495 (r² = 0.86). Comparative association tests consistently demonstrated the g.66493737C>T SNP as the superior variant in the prediction of distance aptitude in racehorses (g.66493737C>T, P = 1.02 x 10⁻¹⁰; BIEC2-417495, P(unadj.) = 1.61 x 10⁻⁹). Functional investigations will be required to determine whether this polymorphism affects putative

  10. Adiponectin gene ADIPOQ SNP associations with serum adiponectin in two female populations and effects of SNPs on promoter activity

    NARCIS (Netherlands)

    Kyriakou, Theodosios; Collins, Laura J.; Spencer-Jones, Nicola J.; Malcolm, Claire; Wang, Xiaoling; Snieder, Harold; Swaminathan, Ramasamyiyer; Burling, Keith A.; Hart, Deborah J.; Spector, Tim D.; O'Dell, Sandra D.

    Adiponectin is an insulin sensitiser in muscle and liver, and low serum levels characterise obesity and insulin resistance. Eight tagging single nucleotide polymorphisms (tSNPs) in the ADIPOQ gene and promoter were selected, and association with serum adiponectin was tested, in two independent

  11. Rapid discrimination of Acinetobacter baumannii international clone II lineage by pyrosequencing SNP analyses of bla(OXA-51-like) genes.

    Science.gov (United States)

    Matsui, Mari; Suzuki, Satowa; Suzuki, Masato; Arakawa, Yoshichika; Shibayama, Keigo

    2013-08-01

    We found that Acinetobacter baumannii international clone II generally possesses unique GTA sequence at nucleotide positions 106-108 in the bla(OXA-51-like) genes. We exploited this to develop an easy and rapid method for discrimination of international clone II from other A. baumannii by employing pyrosequencing analyses of single nucleotide polymorphisms.

  12. Adiponectin gene ADIPOQ SNP associations with serum adiponectin in two female populations and effects of SNPs on promoter activity

    NARCIS (Netherlands)

    Kyriakou, Theodosios; Collins, Laura J.; Spencer-Jones, Nicola J.; Malcolm, Claire; Wang, Xiaoling; Snieder, Harold; Swaminathan, Ramasamyiyer; Burling, Keith A.; Hart, Deborah J.; Spector, Tim D.; O'Dell, Sandra D.

    2008-01-01

    Adiponectin is an insulin sensitiser in muscle and liver, and low serum levels characterise obesity and insulin resistance. Eight tagging single nucleotide polymorphisms (tSNPs) in the ADIPOQ gene and promoter were selected, and association with serum adiponectin was tested, in two independent sampl

  13. A comprehensive transcriptome provides candidate genes for sex determination/differentiation and SSR/SNP markers in yellow catfish.

    Science.gov (United States)

    Chen, Xin; Mei, Jie; Wu, Junjie; Jing, Jing; Ma, Wenge; Zhang, Jin; Dan, Cheng; Wang, Weimin; Gui, Jian-Fang

    2015-04-01

    Sex dimorphic growth pattern has significant theory and application implications in fish. Recently, a Y- and X-specific allele marker-assisted sex control technique has been developed for mass production of all-male population in yellow catfish (Pelteobagrus fulvidraco), but the genetic information for sex determination and sex control breeding has remained unclear. Here, we attempted to provide the first insight into a comprehensive transcriptome covering multiple tissues from XX females, XY males, and YY super-males of yellow catfish by using 454 GS-FLX platform, for a better assembly and gene coverage. A total of 1,202,933 high quality reads (about 540 Mbp) were obtained and assembled into 28,297 contigs and 141,951 singletons. BLASTX searches against the NCBI non-redundant protein database (nr) led a total of 52,564 unique sequences including 18,748 contigs and 33,816 singletons to match 25,669 known or predicted unique proteins. All of them with annotated function were categorized by gene ontology (GO) analysis, and 712 were assigned to reproduction and reproductive process. Some potential genes relevant to reproductive system including steroid hormone biosynthesis and GnRH (gonadotropin-releasing hormone) signaling pathway were further identified by Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis; and at least 21 sex determination and differentiation-related genes, such as Dmrt1, Sox9a/b, Cyp19b, WT1, and AMH were identified and characterized. Additionally, a total of 82,794 simple sequence repeats (SSRs), 26,450 single nucleotide polymorphisms (SNPs), and 4,145 insertions and deletions (INDELs) were revealed from the transcriptome data. Therefore, the current transcriptome resources highlight further studies on sex-control breeding in yellow catfish and will benefit future studies on reproduction and sex determination in teleost fish.

  14. SNP-SNP interactions in breast cancer susceptibility

    Directory of Open Access Journals (Sweden)

    Wang Yuanyuan

    2006-05-01

    Full Text Available Abstract Background Breast cancer predisposition genes identified to date (e.g., BRCA1 and BRCA2 are responsible for less than 5% of all breast cancer cases. Many studies have shown that the cancer risks associated with individual commonly occurring single nucleotide polymorphisms (SNPs are incremental. However, polygenic models suggest that multiple commonly occurring low to modestly penetrant SNPs of cancer related genes might have a greater effect on a disease when considered in combination. Methods In an attempt to identify the breast cancer risk conferred by SNP interactions, we have studied 19 SNPs from genes involved in major cancer related pathways. All SNPs were genotyped by TaqMan 5'nuclease assay. The association between the case-control status and each individual SNP, measured by the odds ratio and its corresponding 95% confidence interval, was estimated using unconditional logistic regression models. At the second stage, two-way interactions were investigated using multivariate logistic models. The robustness of the interactions, which were observed among SNPs with stronger functional evidence, was assessed using a bootstrap approach, and correction for multiple testing based on the false discovery rate (FDR principle. Results None of these SNPs contributed to breast cancer risk individually. However, we have demonstrated evidence for gene-gene (SNP-SNP interaction among these SNPs, which were associated with increased breast cancer risk. Our study suggests cross talk between the SNPs of the DNA repair and immune system (XPD-[Lys751Gln] and IL10-[G(-1082A], cell cycle and estrogen metabolism (CCND1-[Pro241Pro] and COMT-[Met108/158Val], cell cycle and DNA repair (BARD1-[Pro24Ser] and XPD-[Lys751Gln], and within carcinogen metabolism (GSTP1-[Ile105Val] and COMT-[Met108/158Val] pathways. Conclusion The importance of these pathways and their communication in breast cancer predisposition has been emphasized previously, but their

  15. Concept, design and implementation of a cardiovascular gene-centric 50 k SNP array for large-scale genomic association studies.

    Directory of Open Access Journals (Sweden)

    Brendan J Keating

    Full Text Available A wealth of genetic associations for cardiovascular and metabolic phenotypes in humans has been accumulating over the last decade, in particular a large number of loci derived from recent genome wide association studies (GWAS. True complex disease-associated loci often exert modest effects, so their delineation currently requires integration of diverse phenotypic data from large studies to ensure robust meta-analyses. We have designed a gene-centric 50 K single nucleotide polymorphism (SNP array to assess potentially relevant loci across a range of cardiovascular, metabolic and inflammatory syndromes. The array utilizes a "cosmopolitan" tagging approach to capture the genetic diversity across approximately 2,000 loci in populations represented in the HapMap and SeattleSNPs projects. The array content is informed by GWAS of vascular and inflammatory disease, expression quantitative trait loci implicated in atherosclerosis, pathway based approaches and comprehensive literature searching. The custom flexibility of the array platform facilitated interrogation of loci at differing stringencies, according to a gene prioritization strategy that allows saturation of high priority loci with a greater density of markers than the existing GWAS tools, particularly in African HapMap samples. We also demonstrate that the IBC array can be used to complement GWAS, increasing coverage in high priority CVD-related loci across all major HapMap populations. DNA from over 200,000 extensively phenotyped individuals will be genotyped with this array with a significant portion of the generated data being released into the academic domain facilitating in silico replication attempts, analyses of rare variants and cross-cohort meta-analyses in diverse populations. These datasets will also facilitate more robust secondary analyses, such as explorations with alternative genetic models, epistasis and gene-environment interactions.

  16. Transcriptome profiling analysis on whole bodies of microbial challenged Eriocheir sinensis larvae for immune gene identification and SNP development.

    Directory of Open Access Journals (Sweden)

    Zhaoxia Cui

    Full Text Available To study crab immunogenetics of individuals, newly hatched Eriocheir sinensis larvae were stimulated with a mixture of three pathogen strains (Gram-positive bacteria Micrococcus luteus, Gram-negative bacteria Vibrio alginolyticus and fungi Pichia pastoris; 10(8 cfu·mL(-1. A total of 44,767,566 Illumina clean reads corresponding to 4.52 Gb nucleotides were generated and assembled into 100,252 unigenes (average length: 1,042 bp; range: 201-19,357 bp. 17,097 (26.09% of 65,535 non-redundant unigenes were annotated in NCBI non-redundant protein (Nr database. Moreover, 23,188 (35.38% unigenes were assigned to three Gene Ontology (GO categories, 15,071 (23.00% to twenty-six Clusters of orthologous Groups (COG and 8,574 (13.08% to six Kyoto Encyclopedia of Genes and Genomes (KEGG pathways, respectively. Numerous genes were further identified to be associated with multiple immune pathways, including Toll, immune deficiency (IMD, janus kinase (JAK-signal transducers and activators of transcription (STAT and mitogen-activated protein kinase (MAPK pathways. Some of them, such as tumor necrosis factor receptor associated factor 6 (TRAF6, fibroblast growth factor (FGF, protein-tyrosine phosphatase (PTP, JNK-interacting protein 1 (JIP1, were first identified in E. sinensis. TRAF6 was even first discovered in crabs. Additionally, 49,555 single nucleotide polymorphisms (SNPs were developed from over 13,309 unigenes. This is the first transcriptome report of whole bodies of E. sinensis larvae after immune challenge. Data generated here not only provide detail information to identify novel genes in genome reference-free E. sinensis, but also facilitate our understanding on host immunity and defense mechanism of the crab at whole transcriptome level.

  17. cDNA cloning, structural analysis, SNP detection and tissue expression profile of the IGF1 gene in Malabari and Attappady Black goats of India

    Indian Academy of Sciences (India)

    THOMAS NAICY; THIRUPATHY VENKATACHALAPATHY; THAZHATHUVEETTIL ARAVINDAKSHAN; KUNNIYOOR CHEEMANI RAGHAVAN; MANGATTUMURUPPEL MINI; KULANGARA SHYAMA

    2017-06-01

    Insulin-like growth factor 1 (IGF1) plays an important role in growth, reproduction, foetal development and cell proliferation. The present study was conducted to clone and sequence the full-length coding sequence of the caprine IGF1 gene from Attappady Black and Malabari breeds, two indigenous goat breeds of south India, to analyse its structure, and to ascertainthe relative abundance of IGF1 mRNA in different tissues. The caprine IGF1 cDNA (GenBank accession nos: KJ549851 and KJ549852) contained a 465-bp open reading frame encoding IGF1 protein with 154 amino acid residues. A novel SNP was detected in the 3' UTR region, g.931A>G. Genotyping was performed in 277 goats from the two genetic groups using the PCR-single strand conformational polymorphism (SSCP) and two genotypes, AA and AG were observed at this locus. IGF1 is a secretary pathway protein with 49 amino acid-long signal peptide with 19 phosphorylation sites. Caprine IGF1 amino acid sequence was 83–99% identical to other species with highest identity with the ruminants. Relative expression of IGF1 was highest in uterus and liver (P< 0.05), followed by oviduct and muscle. This work provided an important experimental basis for further research on the functions of IGF1 in goats.

  18. dbSNP

    Data.gov (United States)

    U.S. Department of Health & Human Services — dbSNP is a database of single nucleotide polymorphisms (SNPs) and multiple small-scale variations that include insertions/deletions, microsatellites, and...

  19. The Association between Gene-Environment Interactions and Diseases Involving the Human GST Superfamily with SNP Variants

    Directory of Open Access Journals (Sweden)

    Antoinesha L. Hollman

    2016-03-01

    Full Text Available Exposure to environmental hazards has been associated with diseases in humans. The identification of single nucleotide polymorphisms (SNPs in human populations exposed to different environmental hazards, is vital for detecting the genetic risks of some important human diseases. Several studies in this field have been conducted on glutathione S-transferases (GSTs, a phase II detoxification superfamily, to investigate its role in the occurrence of diseases. Human GSTs consist of cytosolic and microsomal superfamilies that are further divided into subfamilies. Based on scientific search engines and a review of the literature, we have found a large amount of published articles on human GST super- and subfamilies that have greatly assisted in our efforts to examine their role in health and disease. Because of its polymorphic variations in relation to environmental hazards such as air pollutants, cigarette smoke, pesticides, heavy metals, carcinogens, pharmaceutical drugs, and xenobiotics, GST is considered as a significant biomarker. This review examines the studies on gene-environment interactions related to various diseases with respect to single nucleotide polymorphisms (SNPs found in the GST superfamily. Overall, it can be concluded that interactions between GST genes and environmental factors play an important role in human diseases.

  20. Genic SNP markers and legume synteny reveal candidate genes underlying QTL for Macrophomina phaseolina resistance and maturity in cowpea [Vigna unguiculata (L) Walp.].

    Science.gov (United States)

    Muchero, Wellington; Ehlers, Jeffrey D; Close, Timothy J; Roberts, Philip A

    2011-01-05

    Macrophomina phaseolina is an emerging and devastating fungal pathogen that causes significant losses in crop production under high temperatures and drought stress. An increasing number of disease incidence reports highlight the wide prevalence of the pathogen around the world and its contribution toward crop yield suppression. In cowpea [Vigna unguiculata (L) Walp.], limited sources of low-level host resistance have been identified, the genetic basis of which is unknown. In this study we report on the identification of strong sources of host resistance to M. phaseolina and the genetic mapping of putative resistance loci on a cowpea genetic map comprised of gene-derived single nucleotide polymorphisms (SNPs) and amplified fragment length polymorphisms (AFLPs). Nine quantitative trait loci (QTLs), accounting for between 6.1 and 40.0% of the phenotypic variance (R2), were identified using plant mortality data taken over three years in field experiments and disease severity scores taken from two greenhouse experiments. Based on annotated genic SNPs as well as synteny with soybean (Glycine max) and Medicago truncatula, candidate resistance genes were found within mapped QTL intervals. QTL Mac-2 explained the largest percent R2 and was identified in three field and one greenhouse experiments where the QTL peak co-located with a SNP marker derived from a pectin esterase inhibitor encoding gene. Maturity effects on the expression of resistance were indicated by the co-location of Mac-6 and Mac-7 QTLs with maturity-related senescence QTLs Mat-2 and Mat-1, respectively. Homologs of the ELF4 and FLK flowering genes were found in corresponding syntenic soybean regions. Only three Macrophomina resistance QTLs co-located with delayed drought-induced premature senescence QTLs previously mapped in the same population, suggesting that largely different genetic mechanisms mediate cowpea response to drought stress and Macrophomina infection. Effective sources of host resistance were

  1. Genic SNP markers and legume synteny reveal candidate genes underlying QTL for Macrophomina phaseolina resistance and maturity in cowpea [Vigna unguiculata (L Walp.

    Directory of Open Access Journals (Sweden)

    Ehlers Jeffrey D

    2011-01-01

    Full Text Available Abstract Background Macrophomina phaseolina is an emerging and devastating fungal pathogen that causes significant losses in crop production under high temperatures and drought stress. An increasing number of disease incidence reports highlight the wide prevalence of the pathogen around the world and its contribution toward crop yield suppression. In cowpea [Vigna unguiculata (L Walp.], limited sources of low-level host resistance have been identified, the genetic basis of which is unknown. In this study we report on the identification of strong sources of host resistance to M. phaseolina and the genetic mapping of putative resistance loci on a cowpea genetic map comprised of gene-derived single nucleotide polymorphisms (SNPs and amplified fragment length polymorphisms (AFLPs. Results Nine quantitative trait loci (QTLs, accounting for between 6.1 and 40.0% of the phenotypic variance (R2, were identified using plant mortality data taken over three years in field experiments and disease severity scores taken from two greenhouse experiments. Based on annotated genic SNPs as well as synteny with soybean (Glycine max and Medicago truncatula, candidate resistance genes were found within mapped QTL intervals. QTL Mac-2 explained the largest percent R2 and was identified in three field and one greenhouse experiments where the QTL peak co-located with a SNP marker derived from a pectin esterase inhibitor encoding gene. Maturity effects on the expression of resistance were indicated by the co-location of Mac-6 and Mac-7 QTLs with maturity-related senescence QTLs Mat-2 and Mat-1, respectively. Homologs of the ELF4 and FLK flowering genes were found in corresponding syntenic soybean regions. Only three Macrophomina resistance QTLs co-located with delayed drought-induced premature senescence QTLs previously mapped in the same population, suggesting that largely different genetic mechanisms mediate cowpea response to drought stress and Macrophomina infection

  2. 蓖麻GPAT基因SNPs及与油脂含量的关联分析%On Relationship between GPAT Gene SNP and Oil Content in Ricinus communis L.

    Institute of Scientific and Technical Information of China (English)

    徐宸敏; 邱旭; 刘小烛

    2012-01-01

    GPAT基因对蓖麻储存油脂(triacylglycerols,TAG)的合成调控具有重要作用。为了从分子进化角度研究蓖麻GPAT的多态性,参考GenBank中编码蓖麻GPAT的基因组序列设计一对特异性引物对来自32个不同地区种质的GPAT进行测序,获得32个长约741bp的基因组序列。多态分析表明:在741bp的区间内共发现1个SNP,频率为1/741bp,多样性指数Pi为0.00069。结果表明GPAT基因与种质油含量和种子大小的关系均无明显相关性。该研究分析了GPAT基因的遗传多样性,遗传变异与油脂数量和种子大小性状的相关性。%The GPAT gene of Ricinus communis L. is important to the synthesis of fatty acid (TAG). Use PCR sequencing and clone sequencing to detect SNP of GPAT gene in Ricinus communis L. from 32 different areas. The results showed: there are only 1 SNP 741bp, located at intron 2, and the SNP frequency is 1/741 bp, nucleotide diversity(Pi) is 0. 00069. The results show that the GPAT gene does not relate to the oil content and seed size. These findings are good method and theoretical foundation for the progressive research of relationship between genetic mutation in GPAT gene with fatty acid quantity and seed size traits.

  3. Using SNP genetic markers to elucidate the linkage of the Co-34/Phg-3 anthracnose and angular leaf spot resistance gene cluster with the Ur-14 resistance gene

    Science.gov (United States)

    The Ouro Negro common bean cultivar contains the Co-34/Phg-3 gene cluster that confers resistance to the anthracnose (ANT) and angular leaf spot (ALS) pathogens. These genes are tightly linked on chromosome 4. Ouro Negro also has the Ur-14 rust resistance gene, reportedly in the vicinity of Co- 34; ...

  4. RELATIONSHIP BETWEEN SNP rs1137101 VARIATION IN LEPTIN RECEPTOR GENE AND OBESITY IN CHINESE ELEMENTARY SCHOOL CHILDREN%中国学龄儿童瘦素受体基因SNP rs1137101多态分布与肥胖相关性研究

    Institute of Scientific and Technical Information of China (English)

    薛琨; 郭红卫; 万文涛; 骆璇; 王文娴

    2012-01-01

    Objective To investigate the relationship between SNP rsll37101 polymorphism in the LEPR gene and obesity in Chinese children. Method One thousand, six hundred and eighty-two elementary school children in Shanghai, China were selected. Their heights, weights, waist circumferences were measured and bloods samples were collected for DNA genotyping. The associations between SNP rs1137101 and BMI, waist height ratio (WHtR), obesity (OB) prevalence were analyzed by Logistic regression or Chi-square test. Results For LEPR SNP rsl137101, the frequencies of genotypes AA, AG, GG and alleles A, G were 0.012, 0.224, 0.764 and 0.14, 0.86 respectively, in agreement with those expected under Hardy-Weinberg equilibrium(∑X2 =1.301.P>0.05). After additional adjusting age, sex and area of school, overweight (OW) prevalence in AA/AG group was higher than that in GG group (13.1% vs. 9.1%, OR=1.43, 95%CI: 0.97-2.10, P=0.074) and there were more AA/AG carriers in BMI>P50 group than in BMKP50 group (26.3% vs. 21.1%, OR=1.30, 95%CI: 1.01-1.68). Conclusion LEPR SNP rsl137101 polymorphism may be a relavent obesity marker in Chinese children, with alleles A at the sites associated with overweight or higher BMI. [ACTA NUTRIMENTA SINICA, 2012,34(6): 536-539].%目的 探讨瘦素受体基因SNP rs1137101多态分布与儿童肥胖之间的关联.方法 对1682名上海某区小学学龄儿童进行身高、体重、腰围测量,及瘦素受体基因SNP rs1137101多态位点基因型分析,通过非条件Logistic回归、卡方检验等方法分析该基因位点多态分布与体重指数(BMI)、腰围身高比(WHtR)等肥胖相关参数之间的关系.结果 该人群LEPR基因SNP rs1137101多态位点基因型AA、AG及GG频率分别为0.012、0.224、0.764,等位基因A和G的分布频率分别为0.14和0.86,符合Hardy Weinberg遗传平衡定律(∑X2=1.301,P>0.05);调整性别、年龄、学校所在地区后,AA/AG组和GG组中超重率分别为13.1%和9.1%,其OR值为1.43(95

  5. 玉米大斑病感、抗近等基因系SNP基因芯片分析%SNP Gene Chip Analysis of Near-isogenic Lines to North Corn Leaf Blight

    Institute of Scientific and Technical Information of China (English)

    马骏; 王延波; 刘欣芳; 李明; 弓雪; 齐欣; 姜敏

    2014-01-01

    A pair near-isogenic lines of north corn leaf blight using of SNP gene chip(56 110 SNP) was ana-lyzed. Through bioinformatics and comparative genomics analysis, potential genes screening and function prediction were performed. Thirty-nine SNP were identified associated with resistance, ten candidate area were positioned, lo-cated bin2.06, 3.02/3.03, 3.04, 3.07, 3.08, 7.03 and bin9.08. Twenty-four candidate genes were digged out. The function included a variety of kinase activity, metal ion,energy metabolism and balance.%通过SNP基因芯片(56110个SNP)对A619感、A619Ht3抗玉米大斑病近等基因系进行分析,采用生物信息学和比较基因组学方法进行显著SNP位点候选基因筛查和功能预测。结果表明,发现10个热点区域,分别位于bin2.06、3.02/3.03、3.04、3.07、3.08、7.03和bin9.08,38个SNP被确定与大斑病抗性相关;挖掘出24个候选基因,通过注释发现,候选基因多与各种受体类酶活性、金属离子及能量的代谢和平衡等功能相关。

  6. Association of SNP of neuropeptide Y, leptin, and IGF-1 genes with residual feed intake in confinement and under grazing condition in Angus cattle.

    Science.gov (United States)

    Trujillo, A I; Casal, A; Peñagaricano, F; Carriquiry, M; Chilibroste, P

    2013-09-01

    In this study we quantify and compare the phenotypic variation in residual feed intake (RFI) in 2 groups of Angus female calves: one carrying simultaneously putative favorable allelic variants (SNP) of neuropeptide Y, leptin, and IGF-1 genes (VAL group) and another devoid of such alleles (CON group). We performed 2 sequential trials: under confinement feeding a high-concentrate diet and under grazing condition. In confinement, 38 purebred Angus female calves [mean age and BW of 247 d (SD = 15) and 186 kg (SD = 33.2), respectively] were offered a total mixed ration diet (60:40 concentrate: alfalfa hay, as fed) ad libitum during 57 d. Dry matter intake was estimated from the difference between offered and refused feed; BW was recorded every 2 wk. Under grazing, 12 heifers from each group were ranked by BW and RFI and randomly assigned to 4 pasture paddocks. Heifers were continuously stocked at high-quality, high-herbage-mass mixed pasture. Herbage DMI was determined using the n-alkane technique. Different models were used to determine RFI: models that use phenotypic data [RFI as described by Koch et al. (1963; RFIK) and RFI as described by ME (RFIME)] and models that use standards feeding data [RFI estimated by Fan et al. (1995; RFIF) and RFI in which the expected DMI was derived from equations in Standing Committee on Agriculture (1990; RFISCA)]. Least squares mean values (SE) of DMI (kg/d), metabolizable energy intake (MEI; Mcal/d), ADG (kg), RFIK (kg DM/d), and feed conversion ratio (FCR; kg DMI/kg ADG) for VAL and CON genotype groups were 6.65 and 6.89 (0.49), 16.7 and 17.4 (1.44), 1.24 and 1.24 (0.03), -0.11 and 0.11 (0.09), and 5.8 and 5.8 (0.14), respectively, in the confinement trial. In the grazing trial least squares mean values (SE) of herbage DMI (kg/d), ADG (kg), MEI (Mcal/d), RFIK, and FCR of VAL and CON groups were 8.76 and 10.93 (0.71), 1.4 and 1.37 (0.05), 25.5 and 31.7 (2.09), -1.02 and 1.02 (0.42), and 6.41 and 6.96 (0.46), respectively. Genotyped

  7. dbSNP: the NCBI database of genetic variation.

    Science.gov (United States)

    Sherry, S T; Ward, M H; Kholodov, M; Baker, J; Phan, L; Smigielski, E M; Sirotkin, K

    2001-01-01

    In response to a need for a general catalog of genome variation to address the large-scale sampling designs required by association studies, gene mapping and evolutionary biology, the National Center for Biotechnology Information (NCBI) has established the dbSNP database [S.T.Sherry, M.Ward and K. Sirotkin (1999) Genome Res., 9, 677-679]. Submissions to dbSNP will be integrated with other sources of information at NCBI such as GenBank, PubMed, LocusLink and the Human Genome Project data. The complete contents of dbSNP are available to the public at website: http://www.ncbi.nlm.nih.gov/SNP. The complete contents of dbSNP can also be downloaded in multiple formats via anonymous FTP at ftp://ncbi.nlm.nih.gov/snp/.

  8. Candidate SNP markers of gender-biased autoimmune complications of monogenic diseases are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters

    Directory of Open Access Journals (Sweden)

    Mikhail P. Ponomarenko

    2016-04-01

    Full Text Available Some variations of human genome (for example, single nucleotide polymorphisms [SNPs] are markers of hereditary diseases and drug responses. Analysis of them can help to improve treatment. Computer-based analysis of millions of SNPs in the 1000 Genomes project makes a search for SNP markers more targeted. Here we combined two computer-based approaches: DNA sequence analysis and keyword search in databases. In the binding sites for TATA-binding protein (TBP in human gene promoters, we found candidate SNP markers of gender-biased autoimmune diseases, including rs1143627 (cachexia in rheumatoid arthritis [double prevalence among women]; rs11557611 (demyelinating diseases [thrice more prevalent among young white women than among nonwhite individuals]; rs17231520 and rs569033466 (both: atherosclerosis comorbid with related diseases [double prevalence among women]; rs563763767 (Hughes syndrome-related thrombosis [lethal during pregnancy]; rs2814778 (autoimmune diseases [excluding multiple sclerosis and rheumatoid arthritis] underlying hypergammaglobulinemia in women; rs72661131 and rs562962093 (both: preterm delivery in pregnant diabetic women; and rs35518301, rs34166473, rs34500389, rs33981098, rs33980857, rs397509430, rs34598529, rs33931746, rs281864525, and rs63750953 (all: autoimmune diseases underlying hypergammaglobulinemia in women. Validation of these predicted candidate SNP markers using the clinical standards may advance personalized medicine.

  9. Development of ARMS-PCR assay for genotyping of Pro12Ala SNP of PPARG gene: a cost effective way for case-control studies of type 2 diabetes in developing countries.

    Science.gov (United States)

    Islam, Mehboob; Awan, Fazli Rabbi; Baig, Shahid Mahmood

    2014-09-01

    Type 2 diabetes (T2D) is a prevalent metabolic disorder across the globe. Research is underway on various aspects including genetics to understand and control the global epidemic of diabetes. Recently, several SNPs in various genes have been associated with T2D. These association studies are mainly carried out in the developed countries through Genome Wide Association Scans, with follow-up replication/validation studies by high-throughput genotyping techniques (e.g. Taqman Technology). Although, similar studies could be conducted in developing countries, however, the limiting factors are the associated cost and expertise. These factors hamper research into the genetic association and replication studies from low-income countries to figure out the role of putatively associated SNPs in diabetes. Although, there are several SNP detection methods (e.g. Taqman assay, Dot-blot, PCR-RFLP, DGGE, SSCP) but these are either expensive or labor intensive or less sensitive. Hence, our aim was to develop a low-cost method for the validation of PPARG (Pro12Ala, CCA>GCA) SNP (rs1801282) for its association with T2D. Here, we developed a cost-effective and rapid amplification refractory mutation specific-PCR (ARMS-PCR) method for this SNP detection. We successfully genotyped PPARG SNPs (Pro12Ala) in human samples and the validity of this method was confirmed by DNA sequencing of a few representative samples for the three different genotypes. Furthermore, ARMS-PCR was applied to T2D patients and control samples for the screening of this SNP.

  10. V-MitoSNP: visualization of human mitochondrial SNPs

    Directory of Open Access Journals (Sweden)

    Tsui Ke-Hung

    2006-08-01

    Full Text Available Abstract Background Mitochondrial single nucleotide polymorphisms (mtSNPs constitute important data when trying to shed some light on human diseases and cancers. Unfortunately, providing relevant mtSNP genotyping information in mtDNA databases in a neatly organized and transparent visual manner still remains a challenge. Amongst the many methods reported for SNP genotyping, determining the restriction fragment length polymorphisms (RFLPs is still one of the most convenient and cost-saving methods. In this study, we prepared the visualization of the mtDNA genome in a way, which integrates the RFLP genotyping information with mitochondria related cancers and diseases in a user-friendly, intuitive and interactive manner. The inherent problem associated with mtDNA sequences in BLAST of the NCBI database was also solved. Description V-MitoSNP provides complete mtSNP information for four different kinds of inputs: (1 color-coded visual input by selecting genes of interest on the genome graph, (2 keyword search by locus, disease and mtSNP rs# ID, (3 visualized input of nucleotide range by clicking the selected region of the mtDNA sequence, and (4 sequences mtBLAST. The V-MitoSNP output provides 500 bp (base pairs flanking sequences for each SNP coupled with the RFLP enzyme and the corresponding natural or mismatched primer sets. The output format enables users to see the SNP genotype pattern of the RFLP by virtual electrophoresis of each mtSNP. The rate of successful design of enzymes and primers for RFLPs in all mtSNPs was 99.1%. The RFLP information was validated by actual agarose electrophoresis and showed successful results for all mtSNPs tested. The mtBLAST function in V-MitoSNP provides the gene information within the input sequence rather than providing the complete mitochondrial chromosome as in the NCBI BLAST database. All mtSNPs with rs number entries in NCBI are integrated in the corresponding SNP in V-MitoSNP. Conclusion V-MitoSNP is a web

  11. Application of machine learning in SNP discovery

    Directory of Open Access Journals (Sweden)

    Cregan Perry B

    2006-01-01

    Full Text Available Abstract Background Single nucleotide polymorphisms (SNP constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given species. Polymorphism detection software PolyBayes and PolyPhred give high false positive SNP predictions even with stringent parameter values. We developed a machine learning (ML method to augment PolyBayes to improve its prediction accuracy. ML methods have also been successfully applied to other bioinformatics problems in predicting genes, promoters, transcription factor binding sites and protein structures. Results The ML program C4.5 was applied to a set of features in order to build a SNP classifier from training data based on human expert decisions (True/False. The training data were 27,275 candidate SNP generated by sequencing 1973 STS (sequence tag sites (12 Mb in both directions from 6 diverse homozygous soybean cultivars and PolyBayes analysis. Test data of 18,390 candidate SNP were generated similarly from 1359 additional STS (8 Mb. SNP from both sets were classified by experts. After training the ML classifier, it agreed with the experts on 97.3% of test data compared with 7.8% agreement between PolyBayes and experts. The PolyBayes positive predictive values (PPV (i.e., fraction of candidate SNP being real were 7.8% for all predictions and 16.7% for those with 100% posterior probability of being real. Using ML improved the PPV to 84.8%, a 5- to 10-fold increase. While both ML and PolyBayes produced a similar number of true positives, the ML program generated only 249 false positives as compared to 16,955 for PolyBayes. The complexity of the soybean genome may have contributed to high false SNP predictions by PolyBayes and hence results may differ for other genomes. Conclusion A machine learning (ML method was developed as a supplementary feature to the polymorphism detection software for improving prediction accuracies. The results from this study

  12. Data mining of public SNP databases for the selection of intragenic SNPs

    NARCIS (Netherlands)

    Aerts, J.; Wetzels, Y.; Cohen, N.; Aerssens, J.

    2002-01-01

    Different strategies to search public single nucleotide polymorphism (SNP) databases for intragenic SNPs were evaluated. First, we assembled a strategy to annotate SNPs onto candidate genes based on a BLAST search of public SNP databases (Intragenic SNP Annotation by BLAST, ISAB). Only BLAST hits th

  13. QTL analysis using SNP markers developed by next-generation sequencing for identification of candidate genes controlling 4-methylthio-3-butenyl glucosinolate contents in roots of radish, Raphanus sativus L.

    Science.gov (United States)

    Zou, Zhongwei; Ishida, Masahiko; Li, Feng; Kakizaki, Tomohiro; Suzuki, Sho; Kitashiba, Hiroyasu; Nishio, Takeshi

    2013-01-01

    SNP markers for QTL analysis of 4-MTB-GSL contents in radish roots were developed by determining nucleotide sequences of bulked PCR products using a next-generation sequencer. DNA fragments were amplified from two radish lines by multiplex PCR with six primer pairs, and those amplified by 2,880 primer pairs were mixed and sequenced. By assembling sequence data, 1,953 SNPs in 750 DNA fragments, 437 of which have been previously mapped in a linkage map, were identified. A linkage map of nine linkage groups was constructed with 188 markers, and five QTLs were detected in two F(2) populations, three of them accounting for more than 50% of the total phenotypic variance being repeatedly detected. In the identified QTL regions, nine SNP markers were newly produced. By synteny analysis of the QTLs regions with Arabidopsis thaliana and Brassica rapa genome sequences, three candidate genes were selected, i.e., RsMAM3 for production of aliphatic glucosinolates linked to GSL-QTL-4, RsIPMDH1 for leucine biosynthesis showing strong co-expression with glucosinolate biosynthesis genes linked to GSL-QTL-2, and RsBCAT4 for branched-chain amino acid aminotransferase linked to GSL-QTL-1. Nucleotide sequences and expression of these genes suggested their possible function in 4MTB-GSL biosynthesis in radish roots.

  14. [SNP-19 genotypic variants of CAPN10 gene and its relation to diabetes mellitus type 2 in a population of Ciudad Juarez, Mexico].

    Science.gov (United States)

    Loya Méndez, Yolanda; Reyes Leal, Gilberto; Sánchez González, Adriana; Portillo Reyes, Verónica; Reyes Ruvalcaba, David; Bojórquez Rangel, Guillermo

    2014-09-28

    Introducción: La diabetes mellitus (DM) tipo 2 es una patología común de origen multifactorial cuyas bases genéticas exactas se desconocen aún; diversos estudios sugieren que los polimorfismos de nucleótido único (SNPs) en el gen CAPN10 (Locus 2q37.3) podrían participar en su desarrollo, incluyendo el polimorfismo de inserción/ deleción SNP-19 (2R→3R). Objetivo: Determinar la relación entre el polimorfismo SNP-19 y la presencia de DM tipo 2 en una población de Ciudad Juárez. Métodos: Se seleccionaron 107 individuos: 43 diabéticos tipo 2 (casos) y 64 no diabéticos sin antecedentes heredo-familiares de DM tipo 2 en primer grado (control). Se realizó estudio antropométrico y perfil bioquímico de lípidos, lipoproteínas y glucosa sérica. Se extrajo ADN de linfocitos de sangre periférica y se amplificó mediante la técnica de reacción en cadena de la polimerasa (PCR). Se analizaron los genotipos del polimorfismo SNP-19 del gen CAPN10 por análisis electroforético en geles de agarosa. Se calcularon las frecuencias genotípicas y alélicas y se realizaron pruebas de equilibrio de Hardy-Weinberg (GenAlEx 6.4). Resultados: El análisis mediante la prueba X² identificó diferencias en los genotipos entre casos y control, con una mayor frecuencia del genotipo homocigoto 3R del SNP-19 en el grupo de casos (0.418) respecto al grupo control (0.265). El genotipo 2R/3R presentó relación con valores elevados de peso, índice de masa corporal y perímetros de cintura y cadera; pero solo en el grupo de diabéticos (P=< 0.05). Conclusión: Los resultados de esta investigación sugieren la participación del SNP-19 del gen CAPN10 en el desarrollo de DM tipo 2 en la población estudiada.

  15. Snap: An Integrated SNP Annotation Platform

    DEFF Research Database (Denmark)

    Li, S.; Ma, L.; Li, H.

    2007-01-01

    research. Using a user-friendly web interface, genes can be searched by name, description, position, SNP ID or clone name. Several public databases are integrated, including gene information from Ensembl, protein features from Uniprot/SWISS-PROT, Pfam and DAS-CBS. Gene relationships are fetched from BIND......, MINT, KEGG and are integrated with ortholog data from TreeFam to extend the current interaction networks. Integrated tools for primer-design and mis-splicing analysis have been developed to facilitate experimental analysis of individual genes with focus on their variation. Snap is available at http...

  16. AVALIAÇÃO DOS NÍVEIS DE PROTEÍNA C REATIVA CIRCULANTE E DO SNP rs1205 DO GENE CRP COM OBESIDADE, CARACTERÍSTICAS ANTROPOMÉTRICAS E MARCADORES BIOQUÍMICOS

    Directory of Open Access Journals (Sweden)

    Elisa Inês Klinger

    2015-12-01

    Full Text Available A obesidade é um grave pro¬blema de saúde pública e está relacionada a um baixo grau de inflamação crô¬nica. A Proteína C Reativa (PCR é caracterizada como proteína de fase aguda, mas em resposta à inflamação e em estados crônicos, pode assumir um papel pró-inflamatório, como no caso da obesidade. Para tanto, teve-se por objetivo avaliar a possível relação dos níveis de PCR circulante e do SNP rs1205 do gene CRP com obesidade, características antropométricas e marcadores bioquímicos em escolares de Santa Cruz do Sul – RS. Este estudo caracteriza-se por ser transversal retrospectivo, sendo realizado com 380 escolares de 07 a 17 anos de idade. A genotipagem do polimorfismo de nucleotídeo único (SNP rs1205C/T foi realizada através de PCR em tempo real. Foram coletados dados antropométricos e realizados testes bioquímicos. O tratamento estatístico foi realizado por estatística descritiva, Kruskal-Wallis, Mann-Whitney e regressão logística multivariada. Com este estudo, foi observada prevalência de 25,3% de sobrepeso e obesidade nos escolares estudados, e que portadores do alelo de risco (T apresentaram maior chance de desenvolver hipercolesterolemia (OR =2,67; 95% IC: 1,265 - 5,657. O SNP rs1205 do gene CRP foi associado à hipercolesterolemia, podendo assim, aumentar o risco de problemas cardiovasculares na fase adulta.

  17. SNP Variation in MicroRNA Biogenesis Pathway Genes as a New Innovation Strategy for Alzheimer Disease Diagnostics: A Study of 10 Candidate Genes in an Understudied Population From the Eastern Mediterranean.

    Science.gov (United States)

    Görücü Yilmaz, Şenay; Erdal, Mehmet E; Avci Özge, Aynur; Sungur, Mehmet A

    2016-01-01

    Alzheimer disease (AD) is a common complex neurodegenerative disorder accounting for nearly 50% to 70% of dementias worldwide. Yet the current diagnostic options for AD are limited. New diagnostic innovation strategies focusing on novel molecules and pathways are sorely needed. In this connection, microRNAs (miRNAs) are conserved small noncoding RNAs that regulate posttranscriptional gene expression and are vital for neuronal development and its functional sustainability. Conceivably, biological pathways responsible for the biogenesis of miRNAs represent a veritable set of upstream candidate genes that can be potentially associated with the AD pathophysiology. Notably, whereas functional single-nucleotide polymorphisms (SNPs) in miRNA biogenesis pathway genes have been studied in other complex diseases, surprisingly, virtually no such study has been conducted on their relevance in AD. Moreover, novel diagnostics identified in easily accessible peripheral tissues such as the whole blood samples represent the initial entry or gateway points on the biomarker discovery critical path for AD. To the best of our knowledge, we report here the first association study of functional SNPs, as measured by real-time PCR in 10 "upstream" candidate genes critically situated on the miRNA biogenesis pathway, in a large sample of AD patients (N=172) and healthy controls (N=109) in a hitherto understudied world population from the Mersin region of the Eastern Mediterranean. We observed a significant association between 2 candidate genes and AD, TARBP2 rs784567 genotype and AD (χ=6.292, P=0.043), and a trend for RNASEN rs10719 genotype (χ=4.528, P=0.104) and allele (P=0.035). Functional SNP variations in the other 8 candidate genes (DGCR8, XPO5, RAN, DICER1, AGO1, AGO2, GEMIN3, and GEMIN4) did not associate with AD in our sample. Given the putative biological importance of miRNA biogenesis pathways, these emerging data can provide a new foundation to stimulate future debate and

  18. SNP CHARACTERISTICS PREDICT REPLICATION SUCCESS IN ASSOCIATION STUDIES

    Science.gov (United States)

    Gorlov, Ivan P.; Moore, Jason H.; Peng, Bo; Jin, Jennifer L.; Gorlova, Olga Y.; Amos, Christopher I.

    2014-01-01

    Successful independent replication is the most direct approach for distinguishing real genotype-disease associations from false discoveries in Genome Wide Association Studies (GWAS). Selecting SNPs for replication has been primarily based on p-values from the discovery stage, although additional characteristics of SNPs may be used to improve replication success. We used disease-associated SNPs from more than 2,000 published GWASs to identify predictors of SNP reproducibility. SNP reproducibility was defined as a proportion of successful replications among all replication attempts. The study reporting association for the first time was considered to be discovery and all consequent studies targeting the same phenotype replications. We found that −Log(P), where P is a p-value from the discovery study, is the strongest predictor of the SNP reproducibility. Other significant predictors include type of the SNP (e.g. missense vs intronic SNPs) and minor allele frequency. Features of the genes linked to the disease-associated SNP also predict SNP reproducibility. Based on empirically defined rules, we developed a reproducibility score (RS) to predict SNP reproducibility independently of −Log(P). We used data from two lung cancer GWAS studies as well as recently reported disease-associated SNPs to validate RS. Minus Log(P) outperforms RS when the very top SNPs are selected, while RS works better with relaxed selection criteria. In conclusion, we propose an empirical model to predict SNP reproducibility, which can be used to select SNPs for validation and prioritization. PMID:25273843

  19. Candidate SNP Markers of Familial and Sporadic Alzheimer's Diseases Are Predicted by a Significant Change in the Affinity of TATA-Binding Protein for Human Gene Promoters

    Directory of Open Access Journals (Sweden)

    Petr Ponomarenko

    2017-07-01

    Full Text Available While year after year, conditions, quality, and duration of human lives have been improving due to the progress in science, technology, education, and medicine, only eight diseases have been increasing in prevalence and shortening human lives because of premature deaths according to the retrospective official review on the state of US health, 1990-2010. These diseases are kidney cancer, chronic kidney diseases, liver cancer, diabetes, drug addiction, poisoning cases, consequences of falls, and Alzheimer's disease (AD as one of the leading pathologies. There are familial AD of hereditary nature (~4% of cases and sporadic AD of unclear etiology (remaining ~96% of cases; i.e., non-familial AD. Therefore, sporadic AD is no longer a purely medical problem, but rather a social challenge when someone asks oneself: “What can I do in my own adulthood to reduce the risk of sporadic AD at my old age to save the years of my lifespan from the destruction caused by it?” Here, we combine two computational approaches for regulatory SNPs: Web service SNP_TATA_Comparator for sequence analysis and a PubMed-based keyword search for articles on the biochemical markers of diseases. Our purpose was to try to find answers to the question: “What can be done in adulthood to reduce the risk of sporadic AD in old age to prevent the lifespan reduction caused by it?” As a result, we found 89 candidate SNP markers of familial and sporadic AD (e.g., rs562962093 is associated with sporadic AD in the elderly as a complication of stroke in adulthood, where natural marine diets can reduce risks of both diseases in case of the minor allele of this SNP. In addition, rs768454929, and rs761695685 correlate with sporadic AD as a comorbidity of short stature, where maximizing stature in childhood and adolescence as an integral indicator of health can minimize (or even eliminate the risk of sporadic AD in the elderly. After validation by clinical protocols, these candidate SNP

  20. Candidate SNP Markers of Familial and Sporadic Alzheimer's Diseases Are Predicted by a Significant Change in the Affinity of TATA-Binding Protein for Human Gene Promoters.

    Science.gov (United States)

    Ponomarenko, Petr; Chadaeva, Irina; Rasskazov, Dmitry A; Sharypova, Ekaterina; Kashina, Elena V; Drachkova, Irina; Zhechev, Dmitry; Ponomarenko, Mikhail P; Savinkova, Ludmila K; Kolchanov, Nikolay

    2017-01-01

    While year after year, conditions, quality, and duration of human lives have been improving due to the progress in science, technology, education, and medicine, only eight diseases have been increasing in prevalence and shortening human lives because of premature deaths according to the retrospective official review on the state of US health, 1990-2010. These diseases are kidney cancer, chronic kidney diseases, liver cancer, diabetes, drug addiction, poisoning cases, consequences of falls, and Alzheimer's disease (AD) as one of the leading pathologies. There are familial AD of hereditary nature (~4% of cases) and sporadic AD of unclear etiology (remaining ~96% of cases; i.e., non-familial AD). Therefore, sporadic AD is no longer a purely medical problem, but rather a social challenge when someone asks oneself: "What can I do in my own adulthood to reduce the risk of sporadic AD at my old age to save the years of my lifespan from the destruction caused by it?" Here, we combine two computational approaches for regulatory SNPs: Web service SNP_TATA_Comparator for sequence analysis and a PubMed-based keyword search for articles on the biochemical markers of diseases. Our purpose was to try to find answers to the question: "What can be done in adulthood to reduce the risk of sporadic AD in old age to prevent the lifespan reduction caused by it?" As a result, we found 89 candidate SNP markers of familial and sporadic AD (e.g., rs562962093 is associated with sporadic AD in the elderly as a complication of stroke in adulthood, where natural marine diets can reduce risks of both diseases in case of the minor allele of this SNP). In addition, rs768454929, and rs761695685 correlate with sporadic AD as a comorbidity of short stature, where maximizing stature in childhood and adolescence as an integral indicator of health can minimize (or even eliminate) the risk of sporadic AD in the elderly. After validation by clinical protocols, these candidate SNP markers may become

  1. SNP Array in Hematopoietic Neoplasms: A Review

    Directory of Open Access Journals (Sweden)

    Jinming Song

    2015-12-01

    Full Text Available Cytogenetic analysis is essential for the diagnosis and prognosis of hematopoietic neoplasms in current clinical practice. Many hematopoietic malignancies are characterized by structural chromosomal abnormalities such as specific translocations, inversions, deletions and/or numerical abnormalities that can be identified by karyotype analysis or fluorescence in situ hybridization (FISH studies. Single nucleotide polymorphism (SNP arrays offer high-resolution identification of copy number variants (CNVs and acquired copy-neutral loss of heterozygosity (LOH/uniparental disomy (UPD that are usually not identifiable by conventional cytogenetic analysis and FISH studies. As a result, SNP arrays have been increasingly applied to hematopoietic neoplasms to search for clinically-significant genetic abnormalities. A large numbers of CNVs and UPDs have been identified in a variety of hematopoietic neoplasms. CNVs detected by SNP array in some hematopoietic neoplasms are of prognostic significance. A few specific genes in the affected regions have been implicated in the pathogenesis and may be the targets for specific therapeutic agents in the future. In this review, we summarize the current findings of application of SNP arrays in a variety of hematopoietic malignancies with an emphasis on the clinically significant genetic variants.

  2. An SNP site in pri-miR-124, a brain expressed miRNA gene, no contribution to mesial temporal lobe epilepsy in an Italian sample.

    Science.gov (United States)

    Manna, Ida; Labate, Angelo; Borzì, Giuseppe; Mumoli, Laura; Cavalli, Salvatore Maria; Sturniolo, Miriam; Quattrone, Aldo; Gambardella, Antonio

    2016-08-01

    Mesial temporal lobe epilepsy (MTLE) is the most common type of refractory epilepsy and is usually associated with hippocampal sclerosis (Hs). The pathogenesis of MTLE involves many biological pathways, some of which seem to be regulated by microRNAs (miRNAs). Increasing evidence shows that single nucleotide polymorphisms (SNPs) or mutations in miRNAs sequence may affect the processing and function of miRNAs and participate in the occurrence of diseases. In this study, the effect of the SNP of one neuronal miRNA, miR-124, on susceptibility to MTLE was investigated using a case control study. To understand the role, a common C/G polymorphism designated rs531564 in the molecular mechanisms of MTLE, we sought to determine whether this genetic variant could influence susceptibility to disease in a cohort of 307 MTLE patients and 306 healthy controls, using TaqMan allelic discrimination assay, on an Applied Biosystems PCR platform. No statistically significant differences were found in the allele or genotype distributions of the miR-124 rs531564 polymorphism among MTLE patients and MTLE-free control subjects (p > 0.05). Our results demonstrate that this SNP has no major role in genetic susceptibility to MTLE, at least in the population studied here.

  3. A Bayesian Framework for SNP Identification

    Energy Technology Data Exchange (ETDEWEB)

    Webb-Robertson, Bobbie-Jo M.; Havre, Susan L.; Payne, Deborah A.

    2005-07-01

    Current proteomics techniques, such as mass spectrometry, focus on protein identification, usually ignoring most types of modifications beyond post-translational modifications, with the assumption that only a small number of peptides have to be matched to a protein for a positive identification. However, not all proteins are being identified with current techniques and improved methods to locate points of mutation are becoming a necessity. In the case when single-nucleotide polymorphisms (SNPs) are observed, brute force is the most common method to locate them, quickly becoming computationally unattractive as the size of the database associated with the model organism grows. We have developed a Bayesian model for SNPs, BSNP, incorporating evolutionary information at both the nucleotide and amino acid levels. Formulating SNPs as a Bayesian inference problem allows probabilities of interest to be easily obtained, for example the probability of a specific SNP or specific type of mutation over a gene or entire genome. Three SNP databases were observed in the evaluation of the BSNP model; the first SNP database is a disease specific gene in human, hemoglobin, the second is also a disease specific gene in human, p53, and the third is a more general SNP database for multiple genes in mouse. We validate that the BSNP model assigns higher posterior probabilities to the SNPs defined in all three separate databases than can be attributed to chance under specific evolutionary information, for example the amino acid model described by Majewski and Ott in conjunction with either the four-parameter nucleotide model by Bulmer or seven-parameter nucleotide model by Majewski and Ott.

  4. Identificação de marcadores SNP em genes candidatos associados ao conteúdo e qualidade do óleo de soja

    OpenAIRE

    Bueno, Rafael Delmond

    2012-01-01

    O desenvolvimento de cultivares produtivas com incremento significativo no teor de proteína e/ou de óleo, bem como melhorar a composição de ácidos graxos na fração óleo, está entre os principais objetivos dos programas de melhoramento genético de soja. A identificação e validação de marcadores SNP (Single Nucleotide Polymorphism) em regiões gênicas associadas a essas características e o seu emprego na seleção assistida por marcadores moleculares (SAM), representa uma poderosa ferramenta para ...

  5. SAQC: SNP Array Quality Control

    Directory of Open Access Journals (Sweden)

    Li Ling-Hui

    2011-04-01

    Full Text Available Abstract Background Genome-wide single-nucleotide polymorphism (SNP arrays containing hundreds of thousands of SNPs from the human genome have proven useful for studying important human genome questions. Data quality of SNP arrays plays a key role in the accuracy and precision of downstream data analyses. However, good indices for assessing data quality of SNP arrays have not yet been developed. Results We developed new quality indices to measure the quality of SNP arrays and/or DNA samples and investigated their statistical properties. The indices quantify a departure of estimated individual-level allele frequencies (AFs from expected frequencies via standardized distances. The proposed quality indices followed lognormal distributions in several large genomic studies that we empirically evaluated. AF reference data and quality index reference data for different SNP array platforms were established based on samples from various reference populations. Furthermore, a confidence interval method based on the underlying empirical distributions of quality indices was developed to identify poor-quality SNP arrays and/or DNA samples. Analyses of authentic biological data and simulated data show that this new method is sensitive and specific for the detection of poor-quality SNP arrays and/or DNA samples. Conclusions This study introduces new quality indices, establishes references for AFs and quality indices, and develops a detection method for poor-quality SNP arrays and/or DNA samples. We have developed a new computer program that utilizes these methods called SNP Array Quality Control (SAQC. SAQC software is written in R and R-GUI and was developed as a user-friendly tool for the visualization and evaluation of data quality of genome-wide SNP arrays. The program is available online (http://www.stat.sinica.edu.tw/hsinchou/genetics/quality/SAQC.htm.

  6. Intronic SNP rs3811647 of the human transferrin gene modulates its expression in hepatoma cells El SNP intrónico rs3811647 del gen de la transferrina humano, modula su expresión en células hepáticas

    Directory of Open Access Journals (Sweden)

    R. Blanco-Rojo

    2012-12-01

    Full Text Available Introduction: Transferrin (Tf exerts a crucial function in the maintenance of systemic iron homeostasis. The expression of the Tf gene is controlled by transcriptional mechanism, although little is known about genetic factors influence. Objective: To study the role of rs3811647 in Tf expression using an in-vitro assay on hepatoma cells. Design and Methods: Hep3B cells were co-transfected with constructs containing A (VarA-Tf-luc and G (VarG-Tf-luc variants of rs3811647, using luciferase as a surrogate reporter of Tf expression. Results: Luciferase assays showed a higher intrinsic enhancer activity (p Introducción: La transferrina (Tf ejerce una función crucial en el mantenimiento de la homeostasis sistémica del hierro. La expresión del gen de la transferrina es controlada a nivel transcripcional, aunque la posible influencia de factores genéticos todavía se desconoce. Objetivo: Estudiar el papel del rs3811647 en la expresión de la transferrina mediante un ensayo in-vitro en células de hepatoma. Diseño y métodos: Células Hep3B fueron co-transfectadas con vectores que contenían las variantes A (VarA-Tf-luc y G (VarG-Tf-luc del rs3811647, utilizándose la luciferasa como marcador de la expresión del gen Tf. Resultados: Los ensayos con la luciferasa mostraron un mayor aumento de la expresión del gen Tf en presencia de la variante A comparada con la G (p < 0,05. El análisis in silico del SNP rs3811647 mostró que la presencia del alelo A puede constituir un sitio de unión del receptor de glucocorticoides (GR. Conclusión: El alelo A del SNP rs3811647 incrementa la expresión del gen Tf de modo que podría modular la variación interindividual en los niveles de transferrina sérica observados en diferentes poblaciones.

  7. DNMT3B基因SNP (-149C/T)与佳木斯地区肺癌发病风险的关系%Association between SNP (-149C/T) of DNMT3B gene and the risk of lung cancer in Jiamusi

    Institute of Scientific and Technical Information of China (English)

    张淑红; 杨琳红; 马雪梅; 朱金玲; 张金波; 张玉萍; 金岳雷; 吕冬霞

    2011-01-01

    Objective To investigate the relationship between single nucleotide polymorphism C46359T of DNMT3B promoter and the susceptibility of lung cancer in Jiamusi population. Methods Genomic DNA was extracted from SO cases of lung cancer patients and 60 healthy volunteers blood Single nucleotide polvmorphism-149C/T (C46359T) of DNMT3B promoter was detected. PCR-RFLP combined with DNA sequencing technology was used. Results Compared with the control group, the person who carried the conversion C->T of SNP (-149C/T) had no increased susceptibility for lung cancer. Conclusions Single nucleotide polymorphism C46359T of DNMT3B gene may not be suitable as an independent risk factor for susceptibility to lung cancer among Jiamusi population.%目的 探讨DNMT3B基因启动子-149C/T(C46359T)单核苷酸多态性与佳木斯地区人群肺癌易感性的相关性.方法 提取50例肺癌患者及60例健康体检人员外周血基因组DNA,采用PCR-RFLP结合DNA测序技术检测DNMT3B基因启动子单核苷酸多态性-149C/T( C46359T).结果 正常对照组DNMT3B-149C/T等位基因TT/CT/CC基因型颇为97%/3%/0,病例组分别为96%/2%/2%.携带有SNP(-149C/T) C→T转换的个体患肺癌的易感性未见明显升高(x2 =0.11,P>0.05,OR=0.83,95%CI:0.27~2.50).结论 DNMT3B基因C46359T多态性可能不适合作为佳木斯地区人群肺癌易感性的一个独立风险因素.

  8. Use of SNP Markers Within the Fat Mass and Obesity-associated (FTO Gene to Verify Pedigrees and Determine Haplotypes in Paternal Half-sib Families of Slovenian Simmental Cattle

    Directory of Open Access Journals (Sweden)

    Daša Jevšinek Skok

    2011-10-01

    Full Text Available The objective of this preliminary study was to identify SNP markers within the FTO gene for evaluation of pedigree data accuracy and determination of haplotypes in paternal half-sib families of Slovenian Simmental cattle. Out of 23 polymorphic SNPs identified ten most informative SNPs for genotyping 31 sires and 56 half-sib progeny were used. The ATLAS program was used for paternity testing. Haplotype analysis revealed three haplotype blocks. The effect of SNPs “ex2 T>C” and “int2 indel*>T” was significant on three correlated carcass traits: live weight at slaughter (P= 0.03, carcass weight (P= 0.038, and lean weight (P= 0.048. The FTO gene can thus be regarded as a candidate for the marker assisted selection programs in our and possibly other populations of cattle. Future studies in cattle might also reveal novel roles of the FTO gene in carcass traits on livestock species as well as fatness control in other mammals.

  9. Use of SNP Markers Within the Fat Mass and Obesity-associated (FTO Gene to Verify Pedigrees and Determine Haplotypes in Paternal Half-sib Families of Slovenian Simmental Cattle

    Directory of Open Access Journals (Sweden)

    Daša Jevšinek Skok

    2011-12-01

    Full Text Available The objective of this preliminary study was to identify SNP markers within the FTO gene for evaluation of pedigree data accuracy and determination of haplotypes in paternal half-sib families of Slovenian Simmental cattle. Out of 23 polymorphic SNPs identified ten most informative SNPs for genotyping 31 sires and 56 half-sib progeny were used. The ATLAS program was used for paternity testing. Haplotype analysis revealed three haplotype blocks. The effect of SNPs “ex2 T>C” and “int2 indel*>T” was significant on three correlated carcass traits: live weight at slaughter (P= 0.03, carcass weight (P= 0.038, and lean weight (P= 0.048. The FTO gene can thus be regarded as a candidate for the marker assisted selection programs in our and possibly other populations of cattle. Future studies in cattle might also reveal novel roles of the FTO gene in carcass traits on livestock species as well as fatness control in other mammals.

  10. pfSNP: An integrated potentially functional SNP resource that facilitates hypotheses generation through knowledge syntheses.

    Science.gov (United States)

    Wang, Jingbo; Ronaghi, Mostafa; Chong, Samuel S; Lee, Caroline G L

    2011-01-01

    Currently, >14,000,000 single nucleotide polymorphisms (SNPs) are reported. Identifying phenotype-affecting SNPs among these many SNPs pose significant challenges. Although several Web resources are available that can inform about the functionality of SNPs, these resources are mainly annotation databases and are not very comprehensive. In this article, we present a comprehensive, well-annotated, integrated pfSNP (potentially functional SNPs) Web resource (http://pfs.nus.edu.sg/), which is aimed to facilitate better hypothesis generation through knowledge syntheses mediated by better data integration and a user-friendly Web interface. pfSNP integrates >40 different algorithms/resources to interrogate >14,000,000 SNPs from the dbSNP database for SNPs of potential functional significance based on previous published reports, inferred potential functionality from genetic approaches as well as predicted potential functionality from sequence motifs. Its query interface has the user-friendly "auto-complete, prompt-as-you-type" feature and is highly customizable, facilitating different combination of queries using Boolean-logic. Additionally, to facilitate better understanding of the results and aid in hypotheses generation, gene/pathway-level information with text clouds highlighting enriched tissues/pathways as well as detailed-related information are also provided on the results page. Hence, the pfSNP resource will be of great interest to scientists focusing on association studies as well as those interested to experimentally address the functionality of SNPs.

  11. SNP-SNP interaction analysis of NF-κB signaling pathway on breast cancer survival

    OpenAIRE

    Jamshidi, Maral; Nevanlinna, Heli; Van Dyck, Laurien

    2015-01-01

    In breast cancer, constitutive activation of NF-κB has been reported, however, the impact of genetic variation of the pathway on patient prognosis has been little studied. Furthermore, a combination of genetic variants, rather than single polymorphisms, may affect disease prognosis. Here, in an extensive dataset (n = 30,431) from the Breast Cancer Association Consortium, we investigated the association of 917 SNPs in 75 genes in the NF-κB pathway with breast cancer prognosis. We explored SNP-...

  12. Map saturation and SNP marker development for the rust resistance genes (R4, R5, R13a, and R13b) in sunflower (Helianthus annuus L.)

    Science.gov (United States)

    Sunflower rust, which is incited by the fungus Puccinia helianthi Schwein., is the most common disease in Australia, Argentina, South Africa, and North America. Three independent genes, R5, R4, and R13 with two alleles R13a and R13b, were discovered in sunflower and are promising sources of resistan...

  13. Ocorrência do SNP c.767G>T no gene DNM1responsável pelo colapso induzido pelo exercício em cães da raça Labrador Retriever no Estado de São Paulo

    Directory of Open Access Journals (Sweden)

    Roberta M. Basso

    2015-05-01

    Full Text Available Resumo:O colapso induzido pelo exercício (EIC é considerado uma síndrome autossômica recessiva que afeta principalmente cães da raça Labrador Retriever. A doença é caracterizada por fraqueza muscular e colapso após exercício intenso. Usualmente, ocorre recuperação clínica após o episódio, mas alguns animais podem vir a óbito. Os sinais clínicos são decorrentes do polimorfismo de base única (SNP c.767G>T no gene Dynamin 1 (DNM1. O objetivo deste trabalho foi determinar a ocorrência deste SNP em 321 cães da raça Labrador Retriever do Estado de São Paulo. Primers específicos para a amplificação de todo o exon 6 do gene DNM1 foram usados nas PCRs utilizando DNA a partir de amostras de sangue ou swab bucal, a avaliação final foi realizada com sequenciamento direto dos produtos da PCR. Dentre os 321 animais estudados, 3,4 % (11/321 eram homozigotos para o SNP c.767G>T no gene DNM1 e 24,6% (79/321 eram heterozigotos. Somente um dos 11 animais homozigotos apresentavam sinais clínicos compatíveis com a EIC. Este é o primeiro estudo sobre a ocorrência deste SNP no Brasil e considerando que quase 25% dos animais estudados eram heterozigotos, a genotipagem dos animais para este SNP pode ser importante antes dos acasalamentos para cães desta raça. A EIC deve ser considerada nos diagnósticos diferenciais de enfermidades neuromusculares em cães da raça Labrador Retriever.

  14. The coding region of the UFGT gene is a source of diagnostic SNP markers that allow single-locus DNA genotyping for the assessment of cultivar identity and ancestry in grapevine (Vitis vinifera L.)

    Science.gov (United States)

    2013-01-01

    Background Vitis vinifera L. is one of society’s most important agricultural crops with a broad genetic variability. The difficulty in recognizing grapevine genotypes based on ampelographic traits and secondary metabolites prompted the development of molecular markers suitable for achieving variety genetic identification. Findings Here, we propose a comparison between a multi-locus barcoding approach based on six chloroplast markers and a single-copy nuclear gene sequencing method using five coding regions combined with a character-based system with the aim of reconstructing cultivar-specific haplotypes and genotypes to be exploited for the molecular characterization of 157 V. vinifera accessions. The analysis of the chloroplast target regions proved the inadequacy of the DNA barcoding approach at the subspecies level, and hence further DNA genotyping analyses were targeted on the sequences of five nuclear single-copy genes amplified across all of the accessions. The sequencing of the coding region of the UFGT nuclear gene (UDP-glucose: flavonoid 3-0-glucosyltransferase, the key enzyme for the accumulation of anthocyanins in berry skins) enabled the discovery of discriminant SNPs (1/34 bp) and the reconstruction of 130 V. vinifera distinct genotypes. Most of the genotypes proved to be cultivar-specific, and only few genotypes were shared by more, although strictly related, cultivars. Conclusion On the whole, this technique was successful for inferring SNP-based genotypes of grapevine accessions suitable for assessing the genetic identity and ancestry of international cultivars and also useful for corroborating some hypotheses regarding the origin of local varieties, suggesting several issues of misidentification (synonymy/homonymy). PMID:24298902

  15. A functional SNP in the regulatory region of the decay-accelerating factor gene associates with extraocular muscle pareses in myasthenia gravis

    OpenAIRE

    Heckmann, J M; Uwimpuhwe, H; Ballo, R; Kaur, M.; Bajic, V.B.; Prince, S.

    2009-01-01

    Complement activation in myasthenia gravis (MG) may damage muscle endplate and complement regulatory proteins such as decay-accelerating factor (DAF) or CD55 may be protective. We hypothesize that the increased prevalence of severe extraocular muscle (EOM) dysfunction among African MG subjects reported earlier may result from altered DAF expression. To test this hypothesis, we screened the DAF gene sequences relevant to the classical complement pathway and found an association between myasthe...

  16. Analysis of a Larger SNP Dataset from the HapMap Project Confirmed That the Modern Human A Allele of the ABO Blood Group Genes Is a Descendant of a Recombinant between B and O Alleles.

    Science.gov (United States)

    Itou, Masaya; Sato, Mitsuharu; Kitano, Takashi

    2013-01-01

    The human ABO blood group gene consists of three main alleles (A, B, and O) that encode a glycosyltransferase. The A and B alleles differ by two critical amino acids in exon 7, and the major O allele has a single nucleotide deletion (Δ261) in exon 6. Previous evolutionary studies have revealed that the A allele is the most ancient, B allele diverged from the A allele with two critical amino acid substitutions in exon 7, and the major O allele diverged from the A allele with Δ261 in exon 6. However, a recent phylogenetic network analysis study showed that the A allele of humans emerged through a recombination between the B and O alleles. In the previous study, a restricted dataset from only two populations was used. In this study, therefore, we used a large single nucleotide polymorphism (SNP) dataset from the HapMap Project. The results indicated that the A101-A201-O09 haplogroup was a recombinant lineage between the B and O haplotypes, containing the intact exon 6 from the B allele and the two critical A type sites in exon 7 from the major O allele. Its recombination point was assumed to be located just behind Δ261 in exon 6.

  17. Analysis of a Larger SNP Dataset from the HapMap Project Confirmed That the Modern Human A Allele of the ABO Blood Group Genes Is a Descendant of a Recombinant between B and O Alleles

    Directory of Open Access Journals (Sweden)

    Masaya Itou

    2013-01-01

    Full Text Available The human ABO blood group gene consists of three main alleles (A, B, and O that encode a glycosyltransferase. The A and B alleles differ by two critical amino acids in exon 7, and the major O allele has a single nucleotide deletion (Δ261 in exon 6. Previous evolutionary studies have revealed that the A allele is the most ancient, B allele diverged from the A allele with two critical amino acid substitutions in exon 7, and the major O allele diverged from the A allele with Δ261 in exon 6. However, a recent phylogenetic network analysis study showed that the A allele of humans emerged through a recombination between the B and O alleles. In the previous study, a restricted dataset from only two populations was used. In this study, therefore, we used a large single nucleotide polymorphism (SNP dataset from the HapMap Project. The results indicated that the A101-A201-O09 haplogroup was a recombinant lineage between the B and O haplotypes, containing the intact exon 6 from the B allele and the two critical A type sites in exon 7 from the major O allele. Its recombination point was assumed to be located just behind Δ261 in exon 6.

  18. High-density SNP association study of the 17q21 chromosomal region linked to autism identifies CACNA1G as a novel candidate gene.

    Science.gov (United States)

    Strom, S P; Stone, J L; Ten Bosch, J R; Merriman, B; Cantor, R M; Geschwind, D H; Nelson, S F

    2010-10-01

    Chromosome 17q11-q21 is a region of the genome likely to harbor susceptibility to autism (MIM(209850)) based on earlier evidence of linkage to the disorder. This linkage is specific to multiplex pedigrees containing only male probands (MO) within the Autism Genetic Resource Exchange (AGRE). Earlier, Stone et al.(1) completed a high-density single nucleotide polymorphism association study of 13.7 Mb within this interval, but common variant association was not sufficient to account for the linkage signal. Here, we extend this single nucleotide polymorphism-based association study to complete the coverage of the two-LOD support interval around the chromosome 17q linkage peak by testing the majority of common alleles in 284 MO trios. Markers within an interval containing the gene, CACNA1G, were found to be associated with Autism Spectrum Disorder at a locally significant level (P=1.9 × 10(-5)). While establishing CACNA1G as a novel candidate gene for autism, these alleles do not contribute a sufficient genetic effect to explain the observed linkage, indicating that there is substantial genetic heterogeneity despite the clear linkage signal. The region thus likely harbors a combination of multiple common and rare alleles contributing to the genetic risk. These data, along with earlier studies of chromosomes 5 and 7q3, suggest few if any major common risk alleles account for Autism Spectrum Disorder risk under major linkage peaks in the AGRE sample. This provides important evidence for strategies to identify Autism Spectrum Disorder genes, suggesting that they should focus on identifying rare variants and common variants of small effect.

  19. Human-Specific SNP in Obesity Genes, Adrenergic Receptor Beta2 (ADRB2), Beta3 (ADRB3), and PPAR γ2 (PPARG), during Primate Evolution

    Science.gov (United States)

    Takenaka, Akiko; Nakamura, Shin; Mitsunaga, Fusako; Inoue-Murayama, Miho; Udono, Toshifumi; Suryobroto, Bambang

    2012-01-01

    Adrenergic-receptor beta2 (ADRB2) and beta3 (ADRB3) are obesity genes that play a key role in the regulation of energy balance by increasing lipolysis and thermogenesis. The Glu27 allele in ADRB2 and the Arg64 allele in ADRB3 are associated with abdominal obesity and early onset of non-insulin-dependent diabetes mellitus (NIDDM) in many ethnic groups. Peroxisome proliferator-activated receptor γ (PPARG) is required for adipocyte differentiation. Pro12Ala mutation decreases PPARG activity and resistance to NIDDM. In humans, energy-expense alleles, Gln27 in ADRB2 and Trp64 in ADRB3, are at higher frequencies than Glu27 and Arg64, respectively, but Ala12 in PPARG is at lower frequency than Pro12. Adaptation of humans for lipolysis, thermogenesis, and reduction of fat accumulation could be considered by examining which alleles in these genes are dominant in non-human primates (NHP). All NHP (P. troglodytes, G. gorilla, P. pygmaeus, H. agilis and macaques) had energy-thrifty alleles, Gly16 and Glu27 in ADRB2, and Arg64 in ADRB3, but did not have energy-expense alleles, Arg16, Gln27 and Trp64 alleles. In PPARG gene, all NHP had large adipocyte accumulating type, the Pro12 allele. Conclusions These results indicate that a tendency to produce much more heat through the energy-expense alleles developed only in humans, who left tropical rainforests for savanna and developed new features in their heat-regulation systems, such as reduction of body hair and increased evaporation of water, and might have helped the protection of entrails from cold at night, especially in glacial periods. PMID:22937051

  20. Human-specific SNP in obesity genes, adrenergic receptor beta2 (ADRB2, Beta3 (ADRB3, and PPAR γ2 (PPARG, during primate evolution.

    Directory of Open Access Journals (Sweden)

    Akiko Takenaka

    Full Text Available UNLABELLED: Adrenergic-receptor beta2 (ADRB2 and beta3 (ADRB3 are obesity genes that play a key role in the regulation of energy balance by increasing lipolysis and thermogenesis. The Glu27 allele in ADRB2 and the Arg64 allele in ADRB3 are associated with abdominal obesity and early onset of non-insulin-dependent diabetes mellitus (NIDDM in many ethnic groups. Peroxisome proliferator-activated receptor γ (PPARG is required for adipocyte differentiation. Pro12Ala mutation decreases PPARG activity and resistance to NIDDM. In humans, energy-expense alleles, Gln27 in ADRB2 and Trp64 in ADRB3, are at higher frequencies than Glu27 and Arg64, respectively, but Ala12 in PPARG is at lower frequency than Pro12. Adaptation of humans for lipolysis, thermogenesis, and reduction of fat accumulation could be considered by examining which alleles in these genes are dominant in non-human primates (NHP. All NHP (P. troglodytes, G. gorilla, P. pygmaeus, H. agilis and macaques had energy-thrifty alleles, Gly16 and Glu27 in ADRB2, and Arg64 in ADRB3, but did not have energy-expense alleles, Arg16, Gln27 and Trp64 alleles. In PPARG gene, all NHP had large adipocyte accumulating type, the Pro12 allele. CONCLUSIONS: These results indicate that a tendency to produce much more heat through the energy-expense alleles developed only in humans, who left tropical rainforests for savanna and developed new features in their heat-regulation systems, such as reduction of body hair and increased evaporation of water, and might have helped the protection of entrails from cold at night, especially in glacial periods.

  1. Human-specific SNP in obesity genes, adrenergic receptor beta2 (ADRB2), Beta3 (ADRB3), and PPAR γ2 (PPARG), during primate evolution.

    Science.gov (United States)

    Takenaka, Akiko; Nakamura, Shin; Mitsunaga, Fusako; Inoue-Murayama, Miho; Udono, Toshifumi; Suryobroto, Bambang

    2012-01-01

    Adrenergic-receptor beta2 (ADRB2) and beta3 (ADRB3) are obesity genes that play a key role in the regulation of energy balance by increasing lipolysis and thermogenesis. The Glu27 allele in ADRB2 and the Arg64 allele in ADRB3 are associated with abdominal obesity and early onset of non-insulin-dependent diabetes mellitus (NIDDM) in many ethnic groups. Peroxisome proliferator-activated receptor γ (PPARG) is required for adipocyte differentiation. Pro12Ala mutation decreases PPARG activity and resistance to NIDDM. In humans, energy-expense alleles, Gln27 in ADRB2 and Trp64 in ADRB3, are at higher frequencies than Glu27 and Arg64, respectively, but Ala12 in PPARG is at lower frequency than Pro12. Adaptation of humans for lipolysis, thermogenesis, and reduction of fat accumulation could be considered by examining which alleles in these genes are dominant in non-human primates (NHP). All NHP (P. troglodytes, G. gorilla, P. pygmaeus, H. agilis and macaques) had energy-thrifty alleles, Gly16 and Glu27 in ADRB2, and Arg64 in ADRB3, but did not have energy-expense alleles, Arg16, Gln27 and Trp64 alleles. In PPARG gene, all NHP had large adipocyte accumulating type, the Pro12 allele. These results indicate that a tendency to produce much more heat through the energy-expense alleles developed only in humans, who left tropical rainforests for savanna and developed new features in their heat-regulation systems, such as reduction of body hair and increased evaporation of water, and might have helped the protection of entrails from cold at night, especially in glacial periods.

  2. Genomic scans for selective sweeps using SNP data

    DEFF Research Database (Denmark)

    Nielsen, Rasmus; Williamson, Scott; Kim, Yuseob

    2005-01-01

    of the selection coefficient. To illustrate the method, we apply our approach to data from the Seattle SNP project and to Chromosome 2 data from the HapMap project. In Chromosome 2, the most extreme signal is found in the lactase gene, which previously has been shown to be undergoing positive selection. Evidence...

  3. Impact of a cis-associated gene expression SNP on chromosome 20q11.22 on bipolar disorder susceptibility, hippocampal structure and cognitive performance.

    OpenAIRE

    LI, M; Luo, X.J.; Landén, M.; Bergen, S E; Hultman, C M; Li, X.; Zhang, W; Yao, Y. G.; Zhang, C.; Liu, J.; Mattheisen, M; Cichon, S; Mühleisen, T W; Degenhardt, F.A.; M.M. Nöthen

    2016-01-01

    BackgroundBipolar disorder is a highly heritable polygenic disorder. Recent enrichment analyses suggest that there may be true risk variants for bipolar disorder in the expression quantitative trait loci (eQTL) in the brain.AimsWe sought to assess the impact of eQTL variants on bipolar disorder risk by combining data from both bipolar disorder genome-wide association studies (GWAS) and brain eQTL.MethodTo detect single nucleotide polymorphisms (SNPs) that influence expression levels of genes ...

  4. High-density SNP screen of sodium channel genes by haplotype tagging and DNA pooling for association with idiopathic generalized epilepsy.

    Science.gov (United States)

    Makoff, Andrew; Lai, Teck; Barratt, Catherine; Valentin, Antonio; Moran, Nick; Asherson, Philip; Nashef, Lina

    2010-04-01

    We have investigated seven voltage-gated sodium channel genes for association with idiopathic generalized epilepsy (IGE). Probands and control DNA were grouped into pools and used to screen 85 single-nucleotide polymorphisms (SNPs), mostly HapMap SNPs tagging the common variation in these genes. Twelve SNPs exhibiting an allele frequency difference between pools were genotyped individually in our sample of 232 probands, 313 controls, and 95 parent-proband trios. Two SNPs, in SCN1A and SCN8A, were associated by allele and genotype at nominal level of significance, but were not significant after Bonferroni correction. Two SCN2A SNPs (rs3943809 and rs16850331) were associated by case-control with a subgroup with IGE and history of febrile seizures and also by transmission disequilibrium test (TDT) in parent-proband trios. Both SNPs are part of a linkage disequilibrium (LD) cluster of 38 SNPs, but none are obvious functional variants. The association of rs3943809 with the febrile seizure subgroup (p = 0.0004) remains significant after the conservative Bonferroni correction for multiple testing.

  5. Report on ISFG SNP Panel Discussion

    DEFF Research Database (Denmark)

    Butler, John M.; Budowle, B.; Gill, P.;

    2008-01-01

    Six scientists presented their views and experience with single nucleotide polymorphism (SNP) markers, multiplexes, and methods regarding their potential application in forensic identity and relationship testing. Benefits and limitations of SNPs were reviewed, as were different SNP marker categor...

  6. CYP1B1 SNP rs1056827,rs1056836基因多态性与乳腺癌关联研究%The research on the relationship between gene polymorphism of CYP1B1 SNP rs1056827,rs1056836 and breast cancer

    Institute of Scientific and Technical Information of China (English)

    田寅; 太史婧华; 荆洪英; 国玉芝; 张志国

    2014-01-01

    目的:研究CYP1B1 SNP rs1056827,rs1056836基因多态性与乳腺癌的关联.方法:应用聚合酶链反应-限制性片段长度多态性(PCR-RFLP)检测CYP1B1 SNP rs1056827,rs1056836基因多态性,比较乳腺癌患者组与健康志愿者对照组CYP1B1 SNP rs1056827,rs1056836基因型的分布频率差异及等位基因频率差异.结果:120例乳腺癌患者组和127例健康志愿者对照组CYP1B1 SNP rs1056827基因型分布频率野生型GG为48.33/65.35%,杂合型GT为40.83/29.13%,突变型TT为10.83/5.51%,两组比较x2为7.71,0.01< P<0.05,等位基因频率野生型G为68.75/79.92%,突变型T为31.25/20.08%,两组比较x2为8.11,P<0.01;CYP1B1SNP rs1056836基因型分布频率野生型CC为49.17/66.93%,杂合型CG为37.50/26.77%,突变型GG为13.33/6.29%,两组比较x2为8.70,0.01<P<0.05,等位基因频率野生型C为67.92/80.31%,突变型G为32.08/19.68%,二组比较x2为8.73,P<0.01.结论:乳腺癌患者组与健康志愿者对照组CYP1B1 SNP rs1056827,rs1056836基因型分布频率和等位基因频率差异有显著性,提示乳腺癌的发生可能与CYP1B1 SNP rs1056827,rs1056836基因多态性具有某种关联.

  7. Development of SNP-based dCAPS markers for identifying male sterile gene tms5 in two-line hybrid rice.

    Science.gov (United States)

    Song, F S; Ni, J L; Qian, Y L; Li, L; Ni, D H; Yang, J B

    2016-08-29

    Molecular markers can increase both the efficiency and speed of breeding programs. Functional markers that detect the functional mutations causing phenotypic changes offer a precise method for genetic identification. In this study, we used newly derived cleaved amplified polymorphic sequence markers to detect the functional mutations of tms5, which is a male sterile gene that is widely used in rice production in China. In addition, restriction cutting sites were designed to specifically digest amplicons of tms5 but not wild type (TMS5), in order to avoid the risk of false positive results. By optimizing the condition of the polymerase chain reaction amplifications and restriction enzyme digestions, the newly designed markers could accurately distinguish between tms5 and TMS5. These markers can be applied in marker-assisted selection for breeding novel thermo-sensitive genic male sterile (TGMS) lines, as well as to rapidly identify the TGMS hybrid seed purity.

  8. Association of an Exon SNP of SLC2A9 Gene with Hyperuricemia Complicated with Type 2 Diabetes Mellitus in the Chinese Male Han Population.

    Science.gov (United States)

    Xing, Shi-Chao; Wang, Xu-Fu; Miao, Zhi-Min; Zhang, Xue-Zhi; Zheng, Jun; Yuan, Ying

    2015-04-01

    Several recent genome-wide association studies and following studies have identified that genetic variants of SLC2A9 are associated with hyperuricemia (HUA) and diabetes mellitus (DM). Here, we set to investigate whether the exon 9 of SLC2A9 gene variations is associated with HUA complicated with Type 2 DM (T2DM) in the Chinese male Han population. The present study was designed to study rs2280205 polymorphism in exon 9 of SLC2A9 in 232 Chinese male subjects. Rs2280205 locus was genotyped in 52 T2DM subjects, 65 HUA subjects, 55 subjects with HUA complicated with T2DM, as well as 60 control subjects in this study. DNA from peripheral blood was purified and amplified by polymerase chain reaction (PCR). The PCR products were then digested by restriction enzyme MSPI, and part of PCR products was sequenced and analyzed. There was no significant difference in the levels of cholesterol, creatinine, and urea nitrogen between the Control Group and the HUA group. There was also no significant difference in levels of cholesterol between the DM group and Control Group. No significant difference in cholesterol and uric acid was observed between the HUA group and the HUA accompanied with DM group (P > 0.05). However, there was no statistical significance in the genotype frequency in these groups (P > 0.01). Results of the present study suggest that the exon 9 of SLC2A9 gene 109C/T polymorphism is not associated with HUA and diabetes in population living in the coastal area of Shandong province, China.

  9. Genetic variation in IL6 gene and type 2 diabetes: tagging-SNP haplotype analysis in large-scale case-control study and meta-analysis.

    Science.gov (United States)

    Qi, Lu; van Dam, Rob M; Meigs, James B; Manson, JoAnn E; Hunter, David; Hu, Frank B

    2006-06-01

    Interleukin-6 (IL-6, gene symbol IL6) is a proinflammatory cytokine. High circulating IL-6 levels have been associated with insulin resistance and greater risk of type 2 diabetes. Using a linkage disequilibrium (LD)-based approach, we sought to investigate the associations of the common polymorphisms comprehensively defining the genetic variability at the IL6 locus with diabetes risk. We conducted a case-control study of 2691 cases of type 2 diabetes (1692 women and 999 men) and 3237 control subjects (2238 women and 999 men) from the Nurses' Health Study and the Health Professional Follow-up Study. Pairwise LD analysis indicated that all the IL6 polymorphisms (rs2069827, rs1800797, rs1800795, rs1554606, rs2069849, rs2069861 and rs1818879) were in strong LD. We did not find significant associations between IL6 polymorphisms and the risk of type 2 diabetes in women or men, individually or in haplotypes. In addition, none of the IL6 polymorphisms was significantly associated with the plasma levels of IL-6 in the control subjects. Our meta-analysis of 5383 diabetes case and 12 069 controls indicated a null association between the best-studied 5' promoter polymorphism--174G>C (rs1800795)--and diabetes risk. Diversity in adiposity, age and sex could not account for the heterogeneity across different studies. In summary, the data in this study do not support substantial associations between the common polymorphisms in IL6 gene and circulating IL-6 levels and the risk of type 2 diabetes.

  10. Sex Determination from Fragmented and Degenerated DNA by Amplified Product-Length Polymorphism Bidirectional SNP Analysis of Amelogenin and SRY Genes.

    Science.gov (United States)

    Masuyama, Kotoka; Shojo, Hideki; Nakanishi, Hiroaki; Inokuchi, Shota; Adachi, Noboru

    2017-01-01

    Sex determination is important in archeology and anthropology for the study of past societies, cultures, and human activities. Sex determination is also one of the most important components of individual identification in criminal investigations. We developed a new method of sex determination by detecting a single-nucleotide polymorphism in the amelogenin gene using amplified product-length polymorphisms in combination with sex-determining region Y analysis. We particularly focused on the most common types of postmortem DNA damage in ancient and forensic samples: fragmentation and nucleotide modification resulting from deamination. Amplicon size was designed to be less than 60 bp to make the method more useful for analyzing degraded DNA samples. All DNA samples collected from eight Japanese individuals (four male, four female) were evaluated correctly using our method. The detection limit for accurate sex determination was determined to be 20 pg of DNA. We compared our new method with commercial short tandem repeat analysis kits using DNA samples artificially fragmented by ultraviolet irradiation. Our novel method was the most robust for highly fragmented DNA samples. To deal with allelic dropout resulting from deamination, we adopted "bidirectional analysis," which analyzed samples from both sense and antisense strands. This new method was applied to 14 Jomon individuals (3500-year-old bone samples) whose sex had been identified morphologically. We could correctly identify the sex of 11 out of 14 individuals. These results show that our method is reliable for the sex determination of highly degenerated samples.

  11. 14-bp ins/del polymorphism and +3142C>G SNP of the HLA-G gene have a significant impact on acute rejection after liver transplantation.

    Science.gov (United States)

    Thude, Hansjörg; Janssen, Maike; Sterneck, Martina; Nashan, Björn; Koch, Martina

    2016-12-01

    Expression of human leukocyte antigen G (HLA-G) has been associated with increased graft survival and decreased rejection episodes. It has been described that the HLA-G 14-base pair (bp) insertion/deletion (ins/del) (rs66554220) and +3142C>G (rs1063320) gene polymorphisms modify the expression level of HLA-G. The aim of the study was to investigate whether these HLA-G polymorphisms have an impact on acute rejection after liver transplantation. In total, 146 liver transplant recipients (57 with acute rejection and 89 without acute rejection) and 99 corresponding liver donors were genotyped for both polymorphisms. In liver transplantation the 14-bp ins/ins and the +3142GG genotypes are more frequent in recipients without rejection compared to recipients with rejection (3.5% vs. 31.5%, p=In contrast, in liver donors we could not reveal an association. We conclude that 14-bp ins/ins and +3142GG genotypes of HLA-G in liver transplant recipients are of importance for prediction of acute rejection after liver transplantation. Thus genotyping of liver recipients for both polymorphisms might be useful to stratify liver transplant recipients according to the risk of acute liver transplant rejection.

  12. A SNP Genotyping Array for Hexaploid Oat

    Directory of Open Access Journals (Sweden)

    Nicholas A. Tinker

    2014-11-01

    Full Text Available Recognizing a need in cultivated hexaploid oat ( L. for a reliable set of reference single nucleotide polymorphisms (SNPs, we have developed a 6000 (6K BeadChip design containing 257 Infinium I and 5486 Infinium II designs corresponding to 5743 SNPs. Of those, 4975 SNPs yielded successful assays after array manufacturing. These SNPs were discovered based on a variety of bioinformatics pipelines in complementary DNA (cDNA and genomic DNA originating from 20 or more diverse oat cultivars. The array was validated in 1100 samples from six recombinant inbred line (RIL mapping populations and sets of diverse oat cultivars and breeding lines, and provided approximately 3500 discernible Mendelian polymorphisms. Here, we present an annotation of these SNPs, including methods of discovery, gene identification and orthology, population-genetic characteristics, and tentative positions on an oat consensus map. We also evaluate a new cluster-based method of calling SNPs. The SNP design sequences are made publicly available, and the full SNP genotyping platform is available for commercial purchase from an independent third party.

  13. Correlation of adiponectin gene SNP+45 T/G polymorphism with coronary heart disease%脂联素基因SNP+45 T/G单核苷酸多态性与冠心病的相关性研究

    Institute of Scientific and Technical Information of China (English)

    徐丽; 凌文华

    2010-01-01

    目的:研究中国华南地区汉族人脂联素基因SNP+45T/G单核苷酸多态性与冠心病的相关性.方法:以153例冠脉造影证实为冠心病的非糖尿病患者为冠心病组,以73例健康者为对照组,采用聚合酶链反应-限制性片段长度多态性(PCR-RFLP)方法分析脂联素基因SNP+45T/G单核苷酸多态性与冠心病的相关性,ELISA法测定血浆脂联素水平.结果:冠心病组T/G+G/G型频率、G等位基因频率均高于对照组(P<0.05).Logistic回归分析发现脂联素基因SNP+45 T/G+G/G型与冠心病正相关(OR: 2.132,95.0% CI: 1.034-4.397,P<0.05),血浆脂联素水平与冠心病的发病呈负相关(OR: 0.868,95.0% CI: 0.785-0.959,P<0.05).结论:脂联素基因SNP+45 T/G+G/G型可能是华南地区汉族人冠心病的易感基因型.

  14. SNP haplotype mapping in a small ALS family.

    Directory of Open Access Journals (Sweden)

    Katherine A Dick Krueger

    Full Text Available The identification of genes for monogenic disorders has proven to be highly effective for understanding disease mechanisms, pathways and gene function in humans. Nevertheless, while thousands of Mendelian disorders have not yet been mapped there has been a trend away from studying single-gene disorders. In part, this is due to the fact that many of the remaining single-gene families are not large enough to map the disease locus to a single site in the genome. New tools and approaches are needed to allow researchers to effectively tap into this genetic gold-mine. Towards this goal, we have used haploid cell lines to experimentally validate the use of high-density single nucleotide polymorphism (SNP arrays to define genome-wide haplotypes and candidate regions, using a small amyotrophic lateral sclerosis (ALS family as a prototype. Specifically, we used haploid-cell lines to determine if high-density SNP arrays accurately predict haplotypes across entire chromosomes and show that haplotype information significantly enhances the genetic information in small families. Panels of haploid-cell lines were generated and a 5 centimorgan (cM short tandem repeat polymorphism (STRP genome scan was performed. Experimentally derived haplotypes for entire chromosomes were used to directly identify regions of the genome identical-by-descent in 5 affected individuals. Comparisons between experimentally determined and in silico haplotypes predicted from SNP arrays demonstrate that SNP analysis of diploid DNA accurately predicted chromosomal haplotypes. These methods precisely identified 12 candidate intervals, which are shared by all 5 affected individuals. Our study illustrates how genetic information can be maximized using readily available tools as a first step in mapping single-gene disorders in small families.

  15. An improved PSO algorithm for generating protective SNP barcodes in breast cancer.

    Directory of Open Access Journals (Sweden)

    Li-Yeh Chuang

    Full Text Available BACKGROUND: Possible single nucleotide polymorphism (SNP interactions in breast cancer are usually not investigated in genome-wide association studies. Previously, we proposed a particle swarm optimization (PSO method to compute these kinds of SNP interactions. However, this PSO does not guarantee to find the best result in every implement, especially when high-dimensional data is investigated for SNP-SNP interactions. METHODOLOGY/PRINCIPAL FINDINGS: In this study, we propose IPSO algorithm to improve the reliability of PSO for the identification of the best protective SNP barcodes (SNP combinations and genotypes with maximum difference between cases and controls associated with breast cancer. SNP barcodes containing different numbers of SNPs were computed. The top five SNP barcode results are retained for computing the next SNP barcode with a one-SNP-increase for each processing step. Based on the simulated data for 23 SNPs of six steroid hormone metabolisms and signalling-related genes, the performance of our proposed IPSO algorithm is evaluated. Among 23 SNPs, 13 SNPs displayed significant odds ratio (OR values (1.268 to 0.848; p<0.05 for breast cancer. Based on IPSO algorithm, the jointed effect in terms of SNP barcodes with two to seven SNPs show significantly decreasing OR values (0.84 to 0.57; p<0.05 to 0.001. Using PSO algorithm, two to four SNPs show significantly decreasing OR values (0.84 to 0.77; p<0.05 to 0.001. Based on the results of 20 simulations, medians of the maximum differences for each SNP barcode generated by IPSO are higher than by PSO. The interquartile ranges of the boxplot, as well as the upper and lower hinges for each n-SNP barcode (n = 3∼10 are more narrow in IPSO than in PSO, suggesting that IPSO is highly reliable for SNP barcode identification. CONCLUSIONS/SIGNIFICANCE: Overall, the proposed IPSO algorithm is robust to provide exact identification of the best protective SNP barcodes for breast cancer.

  16. SNP-SNP interaction analysis of NF-κB signaling pathway on breast cancer survival.

    Science.gov (United States)

    Jamshidi, Maral; Fagerholm, Rainer; Khan, Sofia; Aittomäki, Kristiina; Czene, Kamila; Darabi, Hatef; Li, Jingmei; Andrulis, Irene L; Chang-Claude, Jenny; Devilee, Peter; Fasching, Peter A; Michailidou, Kyriaki; Bolla, Manjeet K; Dennis, Joe; Wang, Qin; Guo, Qi; Rhenius, Valerie; Cornelissen, Sten; Rudolph, Anja; Knight, Julia A; Loehberg, Christian R; Burwinkel, Barbara; Marme, Frederik; Hopper, John L; Southey, Melissa C; Bojesen, Stig E; Flyger, Henrik; Brenner, Hermann; Holleczek, Bernd; Margolin, Sara; Mannermaa, Arto; Kosma, Veli-Matti; Van Dyck, Laurien; Nevelsteen, Ines; Couch, Fergus J; Olson, Janet E; Giles, Graham G; McLean, Catriona; Haiman, Christopher A; Henderson, Brian E; Winqvist, Robert; Pylkäs, Katri; Tollenaar, Rob A E M; García-Closas, Montserrat; Figueroa, Jonine; Hooning, Maartje J; Martens, John W M; Cox, Angela; Cross, Simon S; Simard, Jacques; Dunning, Alison M; Easton, Douglas F; Pharoah, Paul D P; Hall, Per; Blomqvist, Carl; Schmidt, Marjanka K; Nevanlinna, Heli

    2015-11-10

    In breast cancer, constitutive activation of NF-κB has been reported, however, the impact of genetic variation of the pathway on patient prognosis has been little studied. Furthermore, a combination of genetic variants, rather than single polymorphisms, may affect disease prognosis. Here, in an extensive dataset (n = 30,431) from the Breast Cancer Association Consortium, we investigated the association of 917 SNPs in 75 genes in the NF-κB pathway with breast cancer prognosis. We explored SNP-SNP interactions on survival using the likelihood-ratio test comparing multivariate Cox' regression models of SNP pairs without and with an interaction term. We found two interacting pairs associating with prognosis: patients simultaneously homozygous for the rare alleles of rs5996080 and rs7973914 had worse survival (HRinteraction 6.98, 95% CI=3.3-14.4, P=1.42E-07), and patients carrying at least one rare allele for rs17243893 and rs57890595 had better survival (HRinteraction 0.51, 95% CI=0.3-0.6, P = 2.19E-05). Based on in silico functional analyses and literature, we speculate that the rs5996080 and rs7973914 loci may affect the BAFFR and TNFR1/TNFR3 receptors and breast cancer survival, possibly by disturbing both the canonical and non-canonical NF-κB pathways or their dynamics, whereas, rs17243893-rs57890595 interaction on survival may be mediated through TRAF2-TRAIL-R4 interplay. These results warrant further validation and functional analyses.

  17. ITPKC基因功能性SNP rs28493229与中国人群川崎病的相关性研究%Association study of a functional SNP rs28493229 of ITPKC gene and Kawasaki disease in a Chinese population

    Institute of Scientific and Technical Information of China (English)

    彭茜; 张渝; 陈昌辉; 吴青; 李波; 廖静; 罗彩丹; 胡小平; 郑植; 何海兰

    2011-01-01

    Objective Kawasaki disease (KD) is a form of acute multi-systemic vasculitis with unknown etiology.It is the leading cause of acquired heart disease in children due to the frequent occurrence of coronary artery lesions (CALs). Recently,a C allele of rs28493229 (G/C) in inositol 1,4,5-trisphosphate 3-kinase C (ITPKC) gene was found to significantly increase the risk for KD/CALs in Japanese population. It is important to confirm such finding in Chinese population to enable prognosis and personalized therapy for KD.Methods A case-control study was performed.The patient group has included 206 unrelated patients with KD,and the control group included 285 age,gender and ethnically matched children who never had KD. Genotyping of rs28493229 was performed using polymerase chain reactionrestriction fragment length polymorphism(PCR-RFLP) and DNA sequencing.The allele,genotype and C allele carrier frequencies were compared between the two groups,patients with or without CALs,and patients who were resistant or responsive to (intravenous immunoglobulin,IVIG) treatment. Results Frequency of the C allele of rs28493229 was significantly lower in both groups than that in the Japanese population (P<0.01).No significant difference was detected between the two groups in terms of allele,genotype and C carrier of rs28493229 frequencies.Such frequencies were also similar between patients with or without CALs,resistant or responsive to IVIG treatment.Conclusion Our study has failed to prove any association between rs28493229 and KD/CALs in Chinese patients,which indicated that the C allele of rs28493229 may not be used as a molecular marker for determining KD susceptibility,prognosis and effect of treatment.The much lower frequency of C allele does not support its significance in the occurrence of KD/CALs in Chinese population.It is still necessary to find functional SNPs in ITPKC gene which is associated with KD/CALs in Chinese population.%目的 分析中国人群中1,4,5

  18. Genetic determinants of the ankle-brachial index : A meta-analysis of a cardiovascular candidate gene 50K SNP panel in the candidate gene association resource (CARe) consortium

    NARCIS (Netherlands)

    Wassel, Christina L.; Lamina, Claudia; Nambi, Vijay; Coassin, Stefan; Mukamal, Kenneth J.; Ganesh, Santhi K.; Jacobs, David R.; Franceschini, Nora; Papanicolaou, George J.; Gibson, Quince; Yanek, Lisa R.; van der Harst, Pim; Ferguson, Jane F.; Crawford, Dana C.; Waite, Lindsay L.; Allison, Matthew A.; Criqui, Michael H.; McDermott, Mary M.; Mehra, Reena; Cupples, L. Adrienne; Hwang, Shih-Jen; Redline, Susan; Kaplan, Robert C.; Heiss, Gerardo; Rotter, Jerome I.; Boerwinkle, Eric; Taylor, Herman A.; Eraso, Luis H.; Haun, Margot; Li, Mingyao; Meisinger, Christa; O'Connell, Jeffrey R.; Shuldineri, Alan R.; Tybjaerg-Hansen, Anne; Frikke-Schmidt, Ruth; Kollerits, Barbara; Rantner, Barbara; Dieplinger, Benjamin; Stadler, Marietta; Mueller, Thomas; Haltmayer, Meinhard; Klein-Weigel, Peter; Summerer, Monika; Wichmann, H. -Erich; Asselbergs, Folkert W.; Navis, Gerjan; Mateo Leach, Irene; Brown-Gentry, Kristin; Goodloe, Robert; Assimes, Themistocles L.; Becker, Diane M.; Cooke, John P.; Absher, Devin M.; Olin, Jeffrey W.; Mitchell, Braxton D.; Reilly, Muredach P.; Mohler, Emile R.; North, Kari E.; Reiner, Alexander P.; Kronenberg, Florian; Murabito, Joanne M.

    2012-01-01

    Background: Candidate gene association studies for peripheral artery disease (PAD), including subclinical disease assessed with the ankle-brachial index (ABI), have been limited by the modest number of genes examined. We conducted a two stage meta-analysis of similar to 50,000 SNPs across similar to

  19. FunctSNP: an R package to link SNPs to functional knowledge and dbAutoMaker: a suite of Perl scripts to build SNP databases

    Directory of Open Access Journals (Sweden)

    Watson-Haigh Nathan S

    2010-06-01

    Full Text Available Abstract Background Whole genome association studies using highly dense single nucleotide polymorphisms (SNPs are a set of methods to identify DNA markers associated with variation in a particular complex trait of interest. One of the main outcomes from these studies is a subset of statistically significant SNPs. Finding the potential biological functions of such SNPs can be an important step towards further use in human and agricultural populations (e.g., for identifying genes related to susceptibility to complex diseases or genes playing key roles in development or performance. The current challenge is that the information holding the clues to SNP functions is distributed across many different databases. Efficient bioinformatics tools are therefore needed to seamlessly integrate up-to-date functional information on SNPs. Many web services have arisen to meet the challenge but most work only within the framework of human medical research. Although we acknowledge the importance of human research, we identify there is a need for SNP annotation tools for other organisms. Description We introduce an R package called FunctSNP, which is the user interface to custom built species-specific databases. The local relational databases contain SNP data together with functional annotations extracted from online resources. FunctSNP provides a unified bioinformatics resource to link SNPs with functional knowledge (e.g., genes, pathways, ontologies. We also introduce dbAutoMaker, a suite of Perl scripts, which can be scheduled to run periodically to automatically create/update the customised SNP databases. We illustrate the use of FunctSNP with a livestock example, but the approach and software tools presented here can be applied also to human and other organisms. Conclusions Finding the potential functional significance of SNPs is important when further using the outcomes from whole genome association studies. FunctSNP is unique in that it is the only R

  20. Rice SNP-seek database update: new SNPs, indels, and queries

    Science.gov (United States)

    Mansueto, Locedie; Fuentes, Roven Rommel; Borja, Frances Nikki; Detras, Jeffery; Abriol-Santos, Juan Miguel; Chebotarov, Dmytro; Sanciangco, Millicent; Palis, Kevin; Copetti, Dario; Poliakov, Alexandre; Dubchak, Inna; Solovyev, Victor; Wing, Rod A.; Hamilton, Ruaraidh Sackville; Mauleon, Ramil; McNally, Kenneth L.; Alexandrov, Nickolai

    2017-01-01

    We describe updates to the Rice SNP-Seek Database since its first release. We ran a new SNP-calling pipeline followed by filtering that resulted in complete, base, filtered and core SNP datasets. Besides the Nipponbare reference genome, the pipeline was run on genome assemblies of IR 64, 93-11, DJ 123 and Kasalath. New genotype query and display features are added for reference assemblies, SNP datasets and indels. JBrowse now displays BAM, VCF and other annotation tracks, the additional genome assemblies and an embedded VISTA genome comparison viewer. Middleware is redesigned for improved performance by using a hybrid of HDF5 and RDMS for genotype storage. Query modules for genotypes, varieties and genes are improved to handle various constraints. An integrated list manager allows the user to pass query parameters for further analysis. The SNP Annotator adds traits, ontology terms, effects and interactions to markers in a list. Web-service calls were implemented to access most data. These features enable seamless querying of SNP-Seek across various biological entities, a step toward semi-automated gene-trait association discovery. URL: http://snp-seek.irri.org. PMID:27899667

  1. High-density SNP arrays improve detection of HER2 amplification and polyploidy in breast tumors

    DEFF Research Database (Denmark)

    Hansen, Thomas V. O.; Vikesaa, Jonas; Buhl, Sine S

    2015-01-01

    ) arrays can provide additional diagnostic power to assess HER2 gene status. METHODS: DNA from 65 breast tumor samples previously diagnosed by HER2 IHC and FISH analysis were blinded and examined for HER2 copy number variation employing SNP array analysis. RESULTS: SNP array analysis identified 24 (37......%) samples with selective amplification or imbalance of the HER2 region in the q-arm of chromosome 17. In contrast, only 15 (23%) tumors were found to have HER2 amplification by IHC and FISH analysis. In total, there was a discrepancy in 19 (29%) samples between SNP array and IHC/FISH analysis. In 12...

  2. Use of molecular variation in the NCBI dbSNP database.

    Science.gov (United States)

    Sherry, S T; Ward, M; Sirotkin, K

    2000-01-01

    While high quality information regarding variation in genes is currently available in locus-specific or specialized mutation databases, the need remains for a general catalog of genome variation to address the large-scale sampling designs required by association studies, gene mapping, and evolutionary biology. In response to this need, the National Center for Biotechnology Information (NCBI) has established the dbSNP database http://ncbi. nlm.nih.gov/SNP/ to serve as a generalized, central variation database. Submissions to dbSNP will be integrated with other sources of information at NCBI such as GenBank, PubMed, LocusLink, and the Human Genome Project data, and the complete contents of dbSNP are available to the public via anonymous FTP. Hum Mutat 15:68-75, 2000. Published 2000 Wiley-Liss, Inc.

  3. Prognostic Significance and Clinicopathological Associations of COX-2 SNP in Patients with Nonsmall Cell Lung Cancer

    Directory of Open Access Journals (Sweden)

    Peter P. Grimminger

    2009-01-01

    Full Text Available Background. To further improve the screening, diagnosis, and therapy of patients with nonsmall cell lung cancer (NSCLC additional diagnostic tools are urgently needed. Gene expression of Cyclooxygenase-2 (COX-2 has been linked to prognosis in patients with NSCLC. The role of the COX-2 926G>C Single Nucleotide Polymorphism (SNP in patients with NSCLC remains unclear. The aim of this study was to investigate the potential of the COX-2 926G>C SNP as a molecular marker in this disease. Methods. COX-2 926G>C SNP was analyzed in surgically resected tumor tissue of 85 patients with NSCLC using a PCR-based RFLP technique. Results. The COX-2 926G>C SNP genotypes were detected with the following frequencies: GG n=62 (73%, GC n=20 (23%, CC n=3 (4%. There were no associations between COX-2 SNP genotype and histology, grading or gender detectable. COX-2 SNP was significantly associated with tumor stage (P=.032 and lymph node status (P=.016, Chi-square test. With a median followup of 85.9 months, the median survival was 59.7 months. There were no associations seen between the COX-2 SNP genotype and patients prognosis. Conclusions. The COX-2 926G>C SNP is detectable at a high frequency in patients with NSCLC. The COX-2 926G>C SNP genotype is not a prognostic molecular marker in this disease. However, patients with the GC or CC genotype seem more susceptible to lymph node metastases and higher tumor stage than patients with the GG genotype. The results suggest COX-2 926G>C SNP as a molecular marker for lymph node involvement in this disease.

  4. Development and dissection of diagnostic SNP markers for the downy mildew resistance genes PlArg and Pl8 and maker-assisted gene pyramiding in sunflower (Helianthus annuus L.)

    Science.gov (United States)

    Downy mildew, which is caused by fungus Plasmopara halstedii (Farl.) Berlese & de Toni, is one of the most important diseases that affect sunflower production globally. Two downy mildew resistance genes, PlArg and Pl8, were discovered in the late 1980s. Over two decades, PlArg is still effective aga...

  5. c.2381-3T >C mutation of DMD gene: a rare SNP without significant pathogenicity%DMD基因c.2381-3T>C突变性质的辨析

    Institute of Scientific and Technical Information of China (English)

    晏元龙; 杨元

    2015-01-01

    (c.8038C>T,p.Arg2680Ter) was identified in the carrier,her sister and the mother.The rest 4 members,except for the mother from the first generation,have all carried the c.2381-3T>C mutation.The latter has been described as a splice site mutation to cause DMD.One of 135 male adults without DMD was also detected to have carried the c.2381-3T>C mutation.No additional transcript was produced by the minigenes containing c.2381 3T>C mutation.Conclusion The c.8038C>T(p.Arg2680Ter)mutation of DMD gene probably underlies the disease in this family.The presence of the c.2381-3T> C mutation in a asymptomatic male and a non-DMD male control,together with the normal in vitro expression of the minigenecarrying the c.2381-3T>C,strongly suggested that the c.2381-3T>C mutation collected in the Human Gene Mutation Database is a rare SNP without significant pathogenicity.

  6. Mutagenic primer design for mismatch PCR-RFLP SNP genotyping using a genetic algorithm.

    Science.gov (United States)

    Yang, Cheng-Hong; Cheng, Yu-Huei; Yang, Cheng-Huei; Chuang, Li-Yeh

    2012-01-01

    Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) is useful in small-scale basic research studies of complex genetic diseases that are associated with single nucleotide polymorphism (SNP). Designing a feasible primer pair is an important work before performing PCR-RFLP for SNP genotyping. However, in many cases, restriction enzymes to discriminate the target SNP resulting in the primer design is not applicable. A mutagenic primer is introduced to solve this problem. GA-based Mismatch PCR-RFLP Primers Design (GAMPD) provides a method that uses a genetic algorithm to search for optimal mutagenic primers and available restriction enzymes from REBASE. In order to improve the efficiency of the proposed method, a mutagenic matrix is employed to judge whether a hypothetical mutagenic primer can discriminate the target SNP by digestion with available restriction enzymes. The available restriction enzymes for the target SNP are mined by the updated core of SNP-RFLPing. GAMPD has been used to simulate the SNPs in the human SLC6A4 gene under different parameter settings and compared with SNP Cutter for mismatch PCR-RFLP primer design. The in silico simulation of the proposed GAMPD program showed that it designs mismatch PCR-RFLP primers. The GAMPD program is implemented in JAVA and is freely available at http://bio.kuas.edu.tw/gampd/.

  7. 高分辨率熔解曲线法检测CBS基因SNP的技术优化%The Optimization of High Resolution Melting Analysis for SNP of CBS Gene Detection

    Institute of Scientific and Technical Information of China (English)

    于坤坤; 刘毅; 张坤; 李栋; 马衍辉

    2014-01-01

    Objective To explore the optimal reaction condition of high resolution melting (HRM)for detecting SNPs of Cystathionine Beta Synthetase(CBS),and establish the fast and effective way of genotyping.Methods The annealing temperature range was firstly determined by common polymerase chain reaction,then optimal annealing tem-perature was adjusted by qPCR-HRM.The qPCR-HRM reaction system,including reaction process,DNA template,and MgCl2 concentration,were optimized to obtain the best result.Finally,the genotyping results were varified by Sanger sequencing.In this way,the qPCR-HRM of detecting CBS SNP was established.Results The optimal annealing tem-perature was 62℃;the best reaction system of qPCR-HRM includs primers 0.2μmol/L,Mg2+ 2.5μmol/L,and DNA template 60 ng in 20μl.The results of HRM and direct sequencing were consistent.Conclusion HRM could serve as an accurate,fast,and effective method for detecting SNPs of genes.%目的:探索高分辨率熔解曲线法(high resolution melting ,HRM)检测胱硫醚β-合酶(CBS)基因 SNP位点所需的最佳反应体系和条件,建立快速高效的对CBS基因分型的方法。方法通过普通 PCR初步确立引物的退火温度范围,在实时荧光定量PCR(qPCR)-HRM反应中调整确定最佳退火温度。对影响 qPCR-HRM的因素包括反应程序、模板DNA、MgCl2再分别进行优化,确立最佳反应体系和反应条件,对在此基础上得出的基因分型结果通过测序验证其准确性,从而建立系统的 HRM检测CBS基因SNP的方法。结果 HRM检测CBS基因该片段最佳退火温度为62℃,qPCR-HRM最佳反应体系为20μl,引物浓度为0.2μmol/L,Mg2+为2.5μmol/L,模板DNA为60 ng。在优化的体系条件下筛选出的突变型样本经测序验证与实验结果一致。结论 HRM可以作为检测 SNP准确、经济、高效的方法。

  8. Association between SNP rs13419896 in EPAS1 gene and physiological variation re-sponse to HiHiLo hypoxic training%EPAS1基因 SNPrs13419896多态性与 HiHiLo 低氧训练适应效果关联性研究

    Institute of Scientific and Technical Information of China (English)

    汪洪波; 刘海平; 毛颖颖

    2015-01-01

    Objective:This paper researched association between a single nucleotide polymorphisms rs13419896 (SNP rs13419896)in EPAS1 gene and physiological phenotype parameters response to hypoxia training.Methods:35 healthy subjects completed 4 weeks living high -exercise high-training low (HiHiLo)programs.The SNP rs13419896 in EPAS1 gene was analyzed by gene se-quencing,and maximal oxygen uptake (VO2max),hemoglobin (Hb)and red blood cell (RBC) were measured before and after HiHiLo.Then,we investigated association between SNP rs13419896 in EPAS1 gene and physiological phenotype parameters variation response to hypoxia training.Re-sults:1)The genotypes frequency of SNP rs13419896 in EPAS1 were as follows:GG (40%),GA (51.43%),AA (8.57%)and genotype distributions were in Hardy -Weinberg equilibrium among all subjects (x2 =0.70,P =0.40).2)After 4 weeks HiHiLo,there were not significant differ-ences in ΔVO2max,ΔrVO2max,ΔRBC and ΔHb between genotypes of SNP rs13419896 in EPAS1 gene.But we found that the value of VO2max,ΔrVO2max in subjects with GA genotype indicated higher tendency than those in AA genotype (76.17 ±245.31 ml /min vs -5.29 ±276.42 ml /min, P =0.09;1.22 ±3.37 ml /minokg vs 0.13 ±4.18 ml /minokg,P =0.09)when AA genotype (only 3 subjects ) was merged into GA genotype.Conclusion:These findings suggested that SNP rs13419896 in EPAS1 gene was possibly associated with the change of VO2max after hypoxia train-ing,and GA genotype showed a certain advantage.%目的:选取 EPAS1基因序列第1内含子序列上 rs13419896 G/A 单核苷酸多态(single nucleotide polymorphism,SNP)位点,研究其与 HiHiLo 低氧训练后生理表型指标关联性,探寻预测低氧训练效果的遗传学标记。方法:选取35名北方汉族健康受试者(平均年龄19.54±2.55岁,平均身高177.94±4.27 cm,平均体重68.07±5.579 kg)在模拟海拔2500 m 高度(低氧环境 O2浓度为15.4%)进行4周

  9. 原发性闭角型青光眼易感基因位点统计模型预测分析研究%Statistical model analysis of primary angle closure glaucoma associated genes and SNP

    Institute of Scientific and Technical Information of China (English)

    桑景荭; 张业武; 王宁利

    2015-01-01

    目的 评价相关易感基因位点检测对PACG患者的诊断效力.方法 实验研究.通过统计反演算和统计模拟的演算,对已知4个相关易感单核苷酸多态性(SNP)位点rs11024102(PLEKHA7)、rs3753841 (COL11A1)、rs1015213(PCMTD1-ST18)及rs1401999(ABCC5)检测的敏感性、特异性和阳性预测值进行评价.结果 在对单一SNP位点的统计模拟中,rs11024102(PLEKHA7)对PACG患者诊断的敏感性为55.88%,特异性为51.31%;rs3753841(COL11A1)诊断的敏感性为54.47%,特异性为51.00%;rs1015213(PCNTD1-ST18)诊断的敏感性为59.93%,特异性为45.32%;rs1401999(ABCC5)诊断的敏感性为52.97%,特异性为50.00%.4个SNP位点的阳性预测值曲线均贴近无效参考值.4个位点的联合作用在提高敏感度场景的统计模拟中,获得的ROC曲线下面积为0.51.在提高特异度的场景中,ROC曲线下面积为0.52.4个位点自由组合的统计模拟结果发现单一SNP位点和多个SNP位点组合的诊断效力均较差.结论 4个已知相关易感基因位点检测对PACG诊断效力差,尚不能作为单独的诊断试验用于临床筛查.%Objective To evaluate GWAS significant associated SNP for primary angle closure glaucoma.Methods Experimental study.Taking advantage of different statistical models,the usefulness was evaluated by sensitivity,specificity and the area under the receiver-operating characteristic curve (ROC),which indicates the accuracy of genetic profiling in discriminating between primary angle closure glaucoma patients and normal controls.Results rs11024102 (PLEKHA7)had a sensitivity of 55.88% with a specificity of 51.31% ; the sensitivity and specificity of rs3753841 (COL1 1 A1) was 54.47% and 51.00% respectively.The sensitivity of rs1015213 (PCNTD1-ST18) and rs1401999 (ABCC5) were 59.93% and 52.97%.The specificity of these two SNP were 45.32% and 50.00%.The positive predictive value curves of these four SNP were nearly reference line.The area

  10. SNP and mutation data on the web - hidden treasures for uncovering.

    Science.gov (United States)

    Barnes, Michael R

    2002-01-01

    SNP data has grown exponentially over the last two years, SNP database evolution has matched this growth, as initial development of several independent SNP databases has given way to one central SNP database, dbSNP. Other SNP databases have instead evolved to complement this central database by providing gene specific focus and an increased level of curation and analysis on subsets of data, derived from the central data set. By contrast, human mutation data, which has been collected over many years, is still stored in disparate sources, although moves are afoot to move to a similar central database. These developments are timely, human mutation and polymorphism data both hold complementary keys to a better understanding of how genes function and malfunction in disease. The impending availability of a complete human genome presents us with an ideal framework to integrate both these forms of data, as our understanding of the mechanisms of disease increase, the full genomic context of variation may become increasingly significant.

  11. Genetic Polymorphisms of SNP Loci in the 5' and 3' Region of TPH2 Gene in Northern Chinese Han Population%中国北方汉族群体TPH2基因5'和3'端SNP位点遗传多态性

    Institute of Scientific and Technical Information of China (English)

    徐晓明; 丁梅; 庞灏; 邢佳鑫; 宣金锋; 王保捷

    2013-01-01

    Objective To investigate the genetic polymorphism in the 5' and 3' region of TPH2 gene of Northern Chinese Han population and to explore its application value in forensic medicine. Methods The sequence variants and the genetic polymorphisms of 6 SNP loci (rs4570625,rsl 1178997,rsl 1178998,rs41317118,rsl7110747 and rs41317114) within a 905 bp 5' flanking region and a 1 104 bp 3' flanking region of TPH2 gene were analyzed by DNA sequencing in a total of 244 unrelated healthy individuals in Northern Chinese Han population. The statistical analysis was carried out by Haploview v4.2 software. Results The genotypic distributions of the 6 SNP loci in the TPH2 gene were in accordance with Hardy-Weinberg equilibrium. One C/T variant in 92922 site was found. There was a high linkage disequilibrium among the 3 SNP loci (rs4570625,rsl 1178997 and rsl 1178998) in the 5' region and the 3 SNP loci (rs41317118,rsl7110747 and rs41317114) in the 3' region of TPH2 gene,respectively. The parameters of population genetics of 6 SNP loci were obtained. Conclusion There are great polymorphisms in the 5' and 3' region of TPH2 gene in Northern Chinese Han population,which could be used as genetic indexes for association analysis of the related diseases,as well as for forensic individual identification and paternity testing.%目的 调查中国北方汉族群体TPH2基因5’和3’端SNP位点遗传多态性并探讨其法医学应用价值.方法 测序分析244例中国北方健康无关个体TPH2基因5’端905 bp和3’端1104bp两个靶片段的序列特征和6个SNP位点(rs4570625、rs11178997、rs11178998、rs41317118、rs17110747和rs41317114)的遗传多态性,应用Haploview v4.2软件进行统计分析. 结果 244例中国北方汉族个体6个SNP位点基因型分布均符合Hardy-Weinberg平衡定律,在92922位点检测到1例C/T变异,TPH2基因5’端3个SNP位点(rs4570625、rs11178997和rs11178998)和3’端3个SNP位点(rs41317118、rs17110747和rs41317114)分别显示

  12. Evaluation of breast cancer susceptibility using improved genetic algorithms to generate genotype SNP barcodes.

    Science.gov (United States)

    Yang, Cheng-Hong; Lin, Yu-Da; Chuang, Li-Yeh; Chang, Hsueh-Wei

    2013-01-01

    Genetic association is a challenging task for the identification and characterization of genes that increase the susceptibility to common complex multifactorial diseases. To fully execute genetic studies of complex diseases, modern geneticists face the challenge of detecting interactions between loci. A genetic algorithm (GA) is developed to detect the association of genotype frequencies of cancer cases and noncancer cases based on statistical analysis. An improved genetic algorithm (IGA) is proposed to improve the reliability of the GA method for high-dimensional SNP-SNP interactions. The strategy offers the top five results to the random population process, in which they guide the GA toward a significant search course. The IGA increases the likelihood of quickly detecting the maximum ratio difference between cancer cases and noncancer cases. The study systematically evaluates the joint effect of 23 SNP combinations of six steroid hormone metabolisms, and signaling-related genes involved in breast carcinogenesis pathways were systematically evaluated, with IGA successfully detecting significant ratio differences between breast cancer cases and noncancer cases. The possible breast cancer risks were subsequently analyzed by odds-ratio (OR) and risk-ratio analysis. The estimated OR of the best SNP barcode is significantly higher than 1 (between 1.15 and 7.01) for specific combinations of two to 13 SNPs. Analysis results support that the IGA provides higher ratio difference values than the GA between breast cancer cases and noncancer cases over 3-SNP to 13-SNP interactions. A more specific SNP-SNP interaction profile for the risk of breast cancer is also provided.

  13. SNP List (Phase II) - D-HaploDB | LSDB Archive [Life Science Database Archive metadata

    Lifescience Database Archive (English)

    Full Text Available non-tagSNP -: SNP not included in LD bin calculation (MAF Best tagSNP The flag that indicates whether the SNP is the best... tagSNP or not. 1: Best tagSNP 0: non-best tagSNP -: SNP

  14. Single nucleotide polymorphism (SNP-strings: an alternative method for assessing genetic associations.

    Directory of Open Access Journals (Sweden)

    Douglas S Goodin

    Full Text Available BACKGROUND: Genome-wide association studies (GWAS identify disease-associations for single-nucleotide-polymorphisms (SNPs from scattered genomic-locations. However, SNPs frequently reside on several different SNP-haplotypes, only some of which may be disease-associated. This circumstance lowers the observed odds-ratio for disease-association. METHODOLOGY/PRINCIPAL FINDINGS: Here we develop a method to identify the two SNP-haplotypes, which combine to produce each person's SNP-genotype over specified chromosomal segments. Two multiple sclerosis (MS-associated genetic regions were modeled; DRB1 (a Class II molecule of the major histocompatibility complex and MMEL1 (an endopeptidase that degrades both neuropeptides and β-amyloid. For each locus, we considered sets of eleven adjacent SNPs, surrounding the putative disease-associated gene and spanning ∼200 kb of DNA. The SNP-information was converted into an ordered-set of eleven-numbers (subject-vectors based on whether a person had zero, one, or two copies of particular SNP-variant at each sequential SNP-location. SNP-strings were defined as those ordered-combinations of eleven-numbers (0 or 1, representing a haplotype, two of which combined to form the observed subject-vector. Subject-vectors were resolved using probabilistic methods. In both regions, only a small number of SNP-strings were present. We compared our method to the SHAPEIT-2 phasing-algorithm. When the SNP-information spanning 200 kb was used, SHAPEIT-2 was inaccurate. When the SHAPEIT-2 window was increased to 2,000 kb, the concordance between the two methods, in both of these eleven-SNP regions, was over 99%, suggesting that, in these regions, both methods were quite accurate. Nevertheless, correspondence was not uniformly high over the entire DNA-span but, rather, was characterized by alternating peaks and valleys of concordance. Moreover, in the valleys of poor-correspondence, SHAPEIT-2 was also inconsistent with itself

  15. Molecular Cloning, Expression and SNP Screening of Natural Resistance-Associated Macrophage Protein (Nramp) Gene cDNA from Half Smooth Tongue Sole (Cynoglossus semilaevis)%半滑舌鳎(Cynoglossus semilaevis)Nramp基因克隆与表达分析及SNP筛选

    Institute of Scientific and Technical Information of China (English)

    邢贺飞; 高峰涛; 张永珍; 董忠典; 陈松林

    2016-01-01

    育提供技术支持。%Natural resistance-associated macrophage protein (Nramp) belongs to the integration of membrane transport proteins, which has the capacity of enhancing macrophages that are meant to kill pathogens and innate resistance to intracellular parasites. In present study, cDNA ofNramp gene was amplified from spleen of half smooth tongue sole (Cynoglossus semilaevis) by SMART-RACE. The full-length cDNA ofNrampgene was 3717 bp, including 1677 bp open reading frame (ORF) encoding a protein with 558 amino acid residues, which contained the signature features of the Nramp protein family: 10 transmembrane (TM) domains, a consensus transport motif (CTM) with 20 amino acid residues. Compared with the other fish’s Nramp, C. semilaevisNramp was the presence of one iron-responsive regulatory (IRE) protein-binding site in the terminal of ORF, which was similar to the vertebrate Nramp2. The deduced amino acid sequence ofCsNramp exhibited about 63%−91% homology with 14 other vertebrate Nramp sequences. Phylogenetic analysis revealed that theCsNrampwas clustered with other fish Nrampand was closer to Nramp2 of other species. RT-PCR results of theCsNramptranscripts in different tissues indicated that theCsNramptranscripts were highly abundant in spleen, kidney and low in muscle and gonad. TheC. semilaevis challenged with theVibrio harveyicould evidently elevateNramp mRNA levels in spleen, kidney and liver, but the opposite phenomena were observed in the gills. To explore genetic variation and its relevant molecular markers inCsNramp gene, this research detected the polymorphisms ofNrampgene in one family of 233 individuals (68 infected individuals and 165 resistant individuals) by direct sequencing. Fifteen SNPs were detected in the partial ofNrampgene and 3 of them were genotyped successfully and SNP-g.3125(A→G) was significantly correlated to the resistance to Vibrio anguillarum. The results indicated that there were important effects on disease resistance of differentNramp genotypes, SNP-g.3125(A

  16. Combined array CGH plus SNP genome analyses in a single assay for optimized clinical testing.

    Science.gov (United States)

    Wiszniewska, Joanna; Bi, Weimin; Shaw, Chad; Stankiewicz, Pawel; Kang, Sung-Hae L; Pursley, Amber N; Lalani, Seema; Hixson, Patricia; Gambin, Tomasz; Tsai, Chun-hui; Bock, Hans-Georg; Descartes, Maria; Probst, Frank J; Scaglia, Fernando; Beaudet, Arthur L; Lupski, James R; Eng, Christine; Cheung, Sau Wai; Bacino, Carlos; Patel, Ankita

    2014-01-01

    In clinical diagnostics, both array comparative genomic hybridization (array CGH) and single nucleotide polymorphism (SNP) genotyping have proven to be powerful genomic technologies utilized for the evaluation of developmental delay, multiple congenital anomalies, and neuropsychiatric disorders. Differences in the ability to resolve genomic changes between these arrays may constitute an implementation challenge for clinicians: which platform (SNP vs array CGH) might best detect the underlying genetic cause for the disease in the patient? While only SNP arrays enable the detection of copy number neutral regions of absence of heterozygosity (AOH), they have limited ability to detect single-exon copy number variants (CNVs) due to the distribution of SNPs across the genome. To provide comprehensive clinical testing for both CNVs and copy-neutral AOH, we enhanced our custom-designed high-resolution oligonucleotide array that has exon-targeted coverage of 1860 genes with 60,000 SNP probes, referred to as Chromosomal Microarray Analysis - Comprehensive (CMA-COMP). Of the 3240 cases evaluated by this array, clinically significant CNVs were detected in 445 cases including 21 cases with exonic events. In addition, 162 cases (5.0%) showed at least one AOH region >10 Mb. We demonstrate that even though this array has a lower density of SNP probes than other commercially available SNP arrays, it reliably detected AOH events >10 Mb as well as exonic CNVs beyond the detection limitations of SNP genotyping. Thus, combining SNP probes and exon-targeted array CGH into one platform provides clinically useful genetic screening in an efficient manner.

  17. Sequential sentinel SNP Regional Association Plots (SSS-RAP): an approach for testing independence of SNP association signals using meta-analysis data.

    Science.gov (United States)

    Zheng, Jie; Gaunt, Tom R; Day, Ian N M

    2013-01-01

    Genome-Wide Association Studies (GWAS) frequently incorporate meta-analysis within their framework. However, conditional analysis of individual-level data, which is an established approach for fine mapping of causal sites, is often precluded where only group-level summary data are available for analysis. Here, we present a numerical and graphical approach, "sequential sentinel SNP regional association plot" (SSS-RAP), which estimates regression coefficients (beta) with their standard errors using the meta-analysis summary results directly. Under an additive model, typical for genes with small effect, the effect for a sentinel SNP can be transformed to the predicted effect for a possibly dependent SNP through a 2×2 2-SNP haplotypes table. The approach assumes Hardy-Weinberg equilibrium for test SNPs. SSS-RAP is available as a Web-tool (http://apps.biocompute.org.uk/sssrap/sssrap.cgi). To develop and illustrate SSS-RAP we analyzed lipid and ECG traits data from the British Women's Heart and Health Study (BWHHS), evaluated a meta-analysis for ECG trait and presented several simulations. We compared results with existing approaches such as model selection methods and conditional analysis. Generally findings were consistent. SSS-RAP represents a tool for testing independence of SNP association signals using meta-analysis data, and is also a convenient approach based on biological principles for fine mapping in group level summary data. © 2012 Blackwell Publishing Ltd/University College London.

  18. Multi objective SNP selection using pareto optimality.

    Science.gov (United States)

    Gumus, Ergun; Gormez, Zeliha; Kursun, Olcay

    2013-04-01

    Biomarker discovery is a challenging task of bioinformatics especially when targeting high dimensional problems such as SNP (single nucleotide polymorphism) datasets. Various types of feature selection methods can be applied to accomplish this task. Typically, using features versus class labels of samples in the training dataset, these methods aim at selecting feature subsets with maximal classification accuracies. Although finding such class-discriminative features is crucial, selection of relevant SNPs for maximizing other properties that exist in the nature of population genetics such as the correlation between genetic diversity and geographical distance of ethnic groups can also be equally important. In this work, a methodology using a multi objective optimization technique called Pareto Optimal is utilized for selecting SNP subsets offering both high classification accuracy and correlation between genomic and geographical distances. In this method, discriminatory power of an SNP is determined using mutual information and its contribution to the genomic-geographical correlation is estimated using its loadings on principal components. Combining these objectives, the proposed method identifies SNP subsets that can better discriminate ethnic groups than those obtained with sole mutual information and yield higher correlation than those obtained with sole principal components on the Human Genome Diversity Project (HGDP) SNP dataset.

  19. Cardiovascular pharmacogenetics in the SNP era.

    Science.gov (United States)

    Mooser, V; Waterworth, D M; Isenhour, T; Middleton, L

    2003-07-01

    In the past pharmacological agents have contributed to a significant reduction in age-adjusted incidence of cardiovascular events. However, not all patients treated with these agents respond favorably, and some individuals may develop side-effects. With aging of the population and the growing prevalence of cardiovascular risk factors worldwide, it is expected that the demand for cardiovascular drugs will increase in the future. Accordingly, there is a growing need to identify the 'good' responders as well as the persons at risk for developing adverse events. Evidence is accumulating to indicate that responses to drugs are at least partly under genetic control. As such, pharmacogenetics - the study of variability in drug responses attributed to hereditary factors in different populations - may significantly assist in providing answers toward meeting this challenge. Pharmacogenetics mostly relies on associations between a specific genetic marker like single nucleotide polymorphisms (SNPs), either alone or arranged in a specific linear order on a certain chromosomal region (haplotypes), and a particular response to drugs. Numerous associations have been reported between selected genotypes and specific responses to cardiovascular drugs. Recently, for instance, associations have been reported between specific alleles of the apoE gene and the lipid-lowering response to statins, or the lipid-elevating effect of isotretinoin. Thus far, these types of studies have been mostly limited to a priori selected candidate genes due to restricted genotyping and analytical capacities. Thanks to the large number of SNPs now available in the public domain through the SNP Consortium and the newly developed technologies (high throughput genotyping, bioinformatics software), it is now possible to interrogate more than 200,000 SNPs distributed over the entire human genome. One pharmacogenetic study using this approach has been launched by GlaxoSmithKline to identify the approximately 4% of

  20. The human lactase persistence-associated SNP -13910*T enables in vivo functional persistence of lactase promoter-reporter transgene expression.

    Science.gov (United States)

    Fang, Lin; Ahn, Jong Kun; Wodziak, Dariusz; Sibley, Eric

    2012-07-01

    Lactase is the intestinal enzyme responsible for digestion of the milk sugar lactose. Lactase gene expression declines dramatically upon weaning in mammals and during early childhood in humans (lactase nonpersistence). In various ethnic groups, however, lactase persists in high levels throughout adulthood (lactase persistence). Genetic association studies have identified that lactase persistence in northern Europeans is strongly associated with a single nucleotide polymorphism (SNP) located 14 kb upstream of the lactase gene: -13910*C/T. To determine whether the -13910*T SNP can function in vivo to mediate lactase persistence, we generated transgenic mice harboring human DNA fragments with the -13910*T SNP or the ancestral -13910*C SNP cloned upstream of a 2-kb rat lactase gene promoter in a luciferase reporter construct. We previously reported that the 2-kb rat lactase promoter directs a post-weaning decline of luciferase transgene expression similar to that of the endogenous lactase gene. In the present study, the post-weaning decline directed by the rat lactase promoter is impeded by addition of the -13910*T SNP human DNA fragment, but not by addition of the -13910*C ancestral SNP fragment. Persistence of transgene expression associated with the -13910*T SNP represents the first in vivo data in support of a functional role for the -13910*T SNP in mediating the human lactase persistence phenotype.

  1. SNP2CAPS: a SNP and INDEL analysis tool for CAPS marker development

    OpenAIRE

    Thiel, Thomas; Kota, Raja; Grosse, Ivo; Stein, Nils; Graner, Andreas

    2004-01-01

    With the influx of various SNP genotyping assays in recent years, there has been a need for an assay that is robust, yet cost effective, and could be performed using standard gel-based procedures. In this context, CAPS markers have been shown to meet these criteria. However, converting SNPs to CAPS markers can be a difficult process if done manually. In order to address this problem, we describe a computer program, SNP2CAPS, that facilitates the computational conversion of SNP markers into CA...

  2. Making a chocolate chip: development and evaluation of a 6K SNP array for Theobroma cacao.

    Science.gov (United States)

    Theobroma cacao, the key ingredient in chocolate production, is one of the world's most important tree fruit crops, with ~4,000,000 metric tons produced across 50 countries. To move towards gene discovery and marker-assisted breeding in cacao, a single-nucleotide polymorphism (SNP) identification pr...

  3. Longevity and plasticity of CFTR provide an argument for noncanonical SNP organization in hominid DNA.

    Directory of Open Access Journals (Sweden)

    Aubrey E Hill

    Full Text Available Like many other ancient genes, the cystic fibrosis transmembrane conductance regulator (CFTR has survived for hundreds of millions of years. In this report, we consider whether such prodigious longevity of an individual gene--as opposed to an entire genome or species--should be considered surprising in the face of eons of relentless DNA replication errors, mutagenesis, and other causes of sequence polymorphism. The conventions that modern human SNP patterns result either from purifying selection or random (neutral drift were not well supported, since extant models account rather poorly for the known plasticity and function (or the established SNP distributions found in a multitude of genes such as CFTR. Instead, our analysis can be taken as a polemic indicating that SNPs in CFTR and many other mammalian genes may have been generated--and continue to accrue--in a fundamentally more organized manner than would otherwise have been expected. The resulting viewpoint contradicts earlier claims of 'directional' or 'intelligent design-type' SNP formation, and has important implications regarding the pace of DNA adaptation, the genesis of conserved non-coding DNA, and the extent to which eukaryotic SNP formation should be viewed as adaptive.

  4. Pathways of distinction analysis: a new technique for multi-SNP analysis of GWAS data.

    Science.gov (United States)

    Braun, Rosemary; Buetow, Kenneth

    2011-06-01

    Genome-wide association studies (GWAS) have become increasingly common due to advances in technology and have permitted the identification of differences in single nucleotide polymorphism (SNP) alleles that are associated with diseases. However, while typical GWAS analysis techniques treat markers individually, complex diseases (cancers, diabetes, and Alzheimers, amongst others) are unlikely to have a single causative gene. Thus, there is a pressing need for multi-SNP analysis methods that can reveal system-level differences in cases and controls. Here, we present a novel multi-SNP GWAS analysis method called Pathways of Distinction Analysis (PoDA). The method uses GWAS data and known pathway-gene and gene-SNP associations to identify pathways that permit, ideally, the distinction of cases from controls. The technique is based upon the hypothesis that, if a pathway is related to disease risk, cases will appear more similar to other cases than to controls (or vice versa) for the SNPs associated with that pathway. By systematically applying the method to all pathways of potential interest, we can identify those for which the hypothesis holds true, i.e., pathways containing SNPs for which the samples exhibit greater within-class similarity than across classes. Importantly, PoDA improves on existing single-SNP and SNP-set enrichment analyses, in that it does not require the SNPs in a pathway to exhibit independent main effects. This permits PoDA to reveal pathways in which epistatic interactions drive risk. In this paper, we detail the PoDA method and apply it to two GWAS: one of breast cancer and the other of liver cancer. The results obtained strongly suggest that there exist pathway-wide genomic differences that contribute to disease susceptibility. PoDA thus provides an analytical tool that is complementary to existing techniques and has the power to enrich our understanding of disease genomics at the systems-level.

  5. BlueSNP: R package for highly scalable genome-wide association studies using Hadoop clusters.

    Science.gov (United States)

    Huang, Hailiang; Tata, Sandeep; Prill, Robert J

    2013-01-01

    Computational workloads for genome-wide association studies (GWAS) are growing in scale and complexity outpacing the capabilities of single-threaded software designed for personal computers. The BlueSNP R package implements GWAS statistical tests in the R programming language and executes the calculations across computer clusters configured with Apache Hadoop, a de facto standard framework for distributed data processing using the MapReduce formalism. BlueSNP makes computationally intensive analyses, such as estimating empirical p-values via data permutation, and searching for expression quantitative trait loci over thousands of genes, feasible for large genotype-phenotype datasets. http://github.com/ibm-bioinformatics/bluesnp

  6. An intronic SNP in the thyroid hormone receptor β gene is associated with pituitary cell-specific over-expression of a mutant thyroid hormone receptor β2 (R338W in the index case of pituitary-selective resistance to thyroid hormone

    Directory of Open Access Journals (Sweden)

    Cochran Craig

    2011-08-01

    Full Text Available Abstract Background The syndrome of resistance to thyroid hormone (RTH is caused by mutations in the thyroid hormone receptor β gene (THRB. The syndrome varies from asymptomatic to diffuse hypothyroidism, to pituitary-selective resistance with predominance of hyperthyroid signs and symptoms. The wide spectrum of clinical presentation is not completely attributable to specific THRB mutations. The THRB gene encodes two main isoforms, TR β1 which is widely distributed, and TR β2, whose expression is limited to the cochlea, retina, hypothalamus, and pituitary. Recent data demonstrated that in mice an intron enhancer region plays a critical role in the pituitary expression of the β2 isoform of the receptor. We thus hypothesized that polymorphisms in the human homologous region could modulate the pituitary expression of the mutated gene contributing to the clinical presentation of RTH. Methods Screening and in vitro characterization of polymorphisms of the intron enhancer region of the THRB gene in the index case of pituitary-selective RTH. Results The index case of pituitary-selective resistance is characterized by the missense R338W exon 9 mutation in cis with two common SNPs, rs2596623T and rs2596622C, located in the intron enhancer region of the THRB gene. Reporter gene assay experiments in GH3 pituitary-derived cells indicate that rs2596623T generates an increased pituitary cell-specific activity of the TR β2 promoter suggesting that rs2596623T leads to pituitary over-expression of the mutant allele. Conclusions The combined coding mutation and non-coding SNP therefore generate a tissue-specific dominant-negative condition recapitulating the patient's peculiar phenotype. This case illustrates the role of regulatory regions in modifying the clinical presentation of genetic diseases.

  7. Highly specific SNP detection using 2D graphene electronics and DNA strand displacement.

    Science.gov (United States)

    Hwang, Michael T; Landon, Preston B; Lee, Joon; Choi, Duyoung; Mo, Alexander H; Glinsky, Gennadi; Lal, Ratnesh

    2016-06-28

    Single-nucleotide polymorphisms (SNPs) in a gene sequence are markers for a variety of human diseases. Detection of SNPs with high specificity and sensitivity is essential for effective practical implementation of personalized medicine. Current DNA sequencing, including SNP detection, primarily uses enzyme-based methods or fluorophore-labeled assays that are time-consuming, need laboratory-scale settings, and are expensive. Previously reported electrical charge-based SNP detectors have insufficient specificity and accuracy, limiting their effectiveness. Here, we demonstrate the use of a DNA strand displacement-based probe on a graphene field effect transistor (FET) for high-specificity, single-nucleotide mismatch detection. The single mismatch was detected by measuring strand displacement-induced resistance (and hence current) change and Dirac point shift in a graphene FET. SNP detection in large double-helix DNA strands (e.g., 47 nt) minimize false-positive results. Our electrical sensor-based SNP detection technology, without labeling and without apparent cross-hybridization artifacts, would allow fast, sensitive, and portable SNP detection with single-nucleotide resolution. The technology will have a wide range of applications in digital and implantable biosensors and high-throughput DNA genotyping, with transformative implications for personalized medicine.

  8. The Generalized Higher Criticism for Testing SNP-Set Effects in Genetic Association Studies.

    Science.gov (United States)

    Barnett, Ian; Mukherjee, Rajarshi; Lin, Xihong

    2017-01-01

    It is of substantial interest to study the effects of genes, genetic pathways, and networks on the risk of complex diseases. These genetic constructs each contain multiple SNPs, which are often correlated and function jointly, and might be large in number. However, only a sparse subset of SNPs in a genetic construct is generally associated with the disease of interest. In this article, we propose the generalized higher criticism (GHC) to test for the association between an SNP set and a disease outcome. The higher criticism is a test traditionally used in high-dimensional signal detection settings when marginal test statistics are independent and the number of parameters is very large. However, these assumptions do not always hold in genetic association studies, due to linkage disequilibrium among SNPs and the finite number of SNPs in an SNP set in each genetic construct. The proposed GHC overcomes the limitations of the higher criticism by allowing for arbitrary correlation structures among the SNPs in an SNP-set, while performing accurate analytic p-value calculations for any finite number of SNPs in the SNP-set. We obtain the detection boundary of the GHC test. We compared empirically using simulations the power of the GHC method with existing SNP-set tests over a range of genetic regions with varied correlation structures and signal sparsity. We apply the proposed methods to analyze the CGEM breast cancer genome-wide association study. Supplementary materials for this article are available online.

  9. [Research progress on the phenotype informative SNP in forensic science].

    Science.gov (United States)

    Liu, Yu-Xuan; Hu, Qing-Qing; Ma, Hong-Du; Huang, Dai-Xin

    2014-10-01

    Single nucleotide polymorphism (SNP) refers to the single base sequence variation in specific location of the human genome. Phenotype informative SNP has gradually become one of the research hot spots in forensic science. In this paper, the forensic research situation and application prospect of phenotype informative SNP in the characteristics of hair, eye and skin color, height, and facial feature are reviewed.

  10. When whole-genome alignments just won't work: kSNP v2 software for alignment-free SNP discovery and phylogenetics of hundreds of microbial genomes.

    Science.gov (United States)

    Gardner, Shea N; Hall, Barry G

    2013-01-01

    Effective use of rapid and inexpensive whole genome sequencing for microbes requires fast, memory efficient bioinformatics tools for sequence comparison. The kSNP v2 software finds single nucleotide polymorphisms (SNPs) in whole genome data. kSNP v2 has numerous improvements over kSNP v1 including SNP gene annotation; better scaling for draft genomes available as assembled contigs or raw, unassembled reads; a tool to identify the optimal value of k; distribution of packages of executables for Linux and Mac OS X for ease of installation and user-friendly use; and a detailed User Guide. SNP discovery is based on k-mer analysis, and requires no multiple sequence alignment or the selection of a single reference genome. Most target sets with hundreds of genomes complete in minutes to hours. SNP phylogenies are built by maximum likelihood, parsimony, and distance, based on all SNPs, only core SNPs, or SNPs present in some intermediate user-specified fraction of targets. The SNP-based trees that result are consistent with known taxonomy. kSNP v2 can handle many gigabases of sequence in a single run, and if one or more annotated genomes are included in the target set, SNPs are annotated with protein coding and other information (UTRs, etc.) from Genbank file(s). We demonstrate application of kSNP v2 on sets of viral and bacterial genomes, and discuss in detail analysis of a set of 68 finished E. coli and Shigella genomes and a set of the same genomes to which have been added 47 assemblies and four "raw read" genomes of H104:H4 strains from the recent European E. coli outbreak that resulted in both bloody diarrhea and hemolytic uremic syndrome (HUS), and caused at least 50 deaths.

  11. SNP Discovery for mapping alien introgressions in wheat

    Science.gov (United States)

    2014-01-01

    Background Monitoring alien introgressions in crop plants is difficult due to the lack of genetic and molecular mapping information on the wild crop relatives. The tertiary gene pool of wheat is a very important source of genetic variability for wheat improvement against biotic and abiotic stresses. By exploring the 5Mg short arm (5MgS) of Aegilops geniculata, we can apply chromosome genomics for the discovery of SNP markers and their use for monitoring alien introgressions in wheat (Triticum aestivum L). Results The short arm of chromosome 5Mg of Ae. geniculata Roth (syn. Ae. ovata L.; 2n = 4x = 28, UgUgMgMg) was flow-sorted from a wheat line in which it is maintained as a telocentric chromosome. DNA of the sorted arm was amplified and sequenced using an Illumina Hiseq 2000 with ~45x coverage. The sequence data was used for SNP discovery against wheat homoeologous group-5 assemblies. A total of 2,178 unique, 5MgS-specific SNPs were discovered. Randomly selected samples of 59 5MgS-specific SNPs were tested (44 by KASPar assay and 15 by Sanger sequencing) and 84% were validated. Of the selected SNPs, 97% mapped to a chromosome 5Mg addition to wheat (the source of t5MgS), and 94% to 5Mg introgressed from a different accession of Ae. geniculata substituting for chromosome 5D of wheat. The validated SNPs also identified chromosome segments of 5MgS origin in a set of T5D-5Mg translocation lines; eight SNPs (25%) mapped to TA5601 [T5DL · 5DS-5MgS(0.75)] and three (8%) to TA5602 [T5DL · 5DS-5MgS (0.95)]. SNPs (gsnp_5ms83 and gsnp_5ms94), tagging chromosome T5DL · 5DS-5MgS(0.95) with the smallest introgression carrying resistance to leaf rust (Lr57) and stripe rust (Yr40), were validated in two released germplasm lines with Lr57 and Yr40 genes. Conclusion This approach should be widely applicable for the identification of species/genome-specific SNPs. The development of a large number of SNP markers will facilitate the precise introgression and

  12. Forensic SNP genotyping with SNaPshot

    DEFF Research Database (Denmark)

    Fondevila, M; Børsting, C; Phillips, C

    2017-01-01

    This review explores the key factors that influence the optimization, routine use, and profile interpretation of the SNaPshot single-base extension (SBE) system applied to forensic single-nucleotide polymorphism (SNP) genotyping. Despite being a mainly complimentary DNA genotyping technique...... to routine STR profiling, use of SNaPshot is an important part of the development of SNP sets for a wide range of forensic applications with these markers, from genotyping highly degraded DNA with very short amplicons to the introduction of SNPs to ascertain the ancestry and physical characteristics...... of an unidentified contact trace donor. However, this technology, as resourceful as it is, displays several features that depart from the usual STR genotyping far enough to demand a certain degree of expertise from the forensic analyst before tackling the complex casework on which SNaPshot application provides...

  13. Exhaustive Genome-Wide Search for SNP-SNP Interactions Across 10 Human Diseases

    Directory of Open Access Journals (Sweden)

    William Murk

    2016-07-01

    Full Text Available The identification of statistical SNP-SNP interactions may help explain the genetic etiology of many human diseases, but exhaustive genome-wide searches for these interactions have been difficult, due to a lack of power in most datasets. We aimed to use data from the Resource for Genetic Epidemiology Research on Adult Health and Aging (GERA study to search for SNP-SNP interactions associated with 10 common diseases. FastEpistasis and BOOST were used to evaluate all pairwise interactions among approximately N = 300,000 single nucleotide polymorphisms (SNPs with minor allele frequency (MAF ≥ 0.15, for the dichotomous outcomes of allergic rhinitis, asthma, cardiac disease, depression, dermatophytosis, type 2 diabetes, dyslipidemia, hemorrhoids, hypertensive disease, and osteoarthritis. A total of N = 45,171 subjects were included after quality control steps were applied. These data were divided into discovery and replication subsets; the discovery subset had > 80% power, under selected models, to detect genome-wide significant interactions (P < 10−12. Interactions were also evaluated for enrichment in particular SNP features, including functionality, prior disease relevancy, and marginal effects. No interaction in any disease was significant in both the discovery and replication subsets. Enrichment analysis suggested that, for some outcomes, interactions involving SNPs with marginal effects were more likely to be nominally replicated, compared to interactions without marginal effects. If SNP-SNP interactions play a role in the etiology of the studied conditions, they likely have weak effect sizes, involve lower-frequency variants, and/or involve complex models of interaction that are not captured well by the methods that were utilized.

  14. CFSAN SNP Pipeline: an automated method for constructing SNP matrices from next-generation sequence data

    Directory of Open Access Journals (Sweden)

    Steve Davis

    2015-08-01

    Full Text Available The analysis of next-generation sequence (NGS data is often a fragmented step-wise process. For example, multiple pieces of software are typically needed to map NGS reads, extract variant sites, and construct a DNA sequence matrix containing only single nucleotide polymorphisms (i.e., a SNP matrix for a set of individuals. The management and chaining of these software pieces and their outputs can often be a cumbersome and difficult task. Here, we present CFSAN SNP Pipeline, which combines into a single package the mapping of NGS reads to a reference genome with Bowtie2, processing of those mapping (BAM files using SAMtools, identification of variant sites using VarScan, and production of a SNP matrix using custom Python scripts. We also introduce a Python package (CFSAN SNP Mutator that when given a reference genome will generate variants of known position against which we validate our pipeline. We created 1,000 simulated Salmonella enterica sp. enterica Serovar Agona genomes at 100× and 20× coverage, each containing 500 SNPs, 20 single-base insertions and 20 single-base deletions. For the 100× dataset, the CFSAN SNP Pipeline recovered 98.9% of the introduced SNPs and had a false positive rate of 1.04 × 10−6; for the 20× dataset 98.8% of SNPs were recovered and the false positive rate was 8.34 × 10−7. Based on these results, CFSAN SNP Pipeline is a robust and accurate tool that it is among the first to combine into a single executable the myriad steps required to produce a SNP matrix from NGS data. Such a tool is useful to those working in an applied setting (e.g., food safety traceback investigations as well as for those interested in evolutionary questions.

  15. Analyzing cancer samples with SNP arrays.

    Science.gov (United States)

    Van Loo, Peter; Nilsen, Gro; Nordgard, Silje H; Vollan, Hans Kristian Moen; Børresen-Dale, Anne-Lise; Kristensen, Vessela N; Lingjærde, Ole Christian

    2012-01-01

    Single nucleotide polymorphism (SNP) arrays are powerful tools to delineate genomic aberrations in cancer genomes. However, the analysis of these SNP array data of cancer samples is complicated by three phenomena: (a) aneuploidy: due to massive aberrations, the total DNA content of a cancer cell can differ significantly from its normal two copies; (b) nonaberrant cell admixture: samples from solid tumors do not exclusively contain aberrant tumor cells, but always contain some portion of nonaberrant cells; (c) intratumor heterogeneity: different cells in the tumor sample may have different aberrations. We describe here how these phenomena impact the SNP array profile, and how these can be accounted for in the analysis. In an extended practical example, we apply our recently developed and further improved ASCAT (allele-specific copy number analysis of tumors) suite of tools to analyze SNP array data using data from a series of breast carcinomas as an example. We first describe the structure of the data, how it can be plotted and interpreted, and how it can be segmented. The core ASCAT algorithm next determines the fraction of nonaberrant cells and the tumor ploidy (the average number of DNA copies), and calculates an ASCAT profile. We describe how these ASCAT profiles visualize both copy number aberrations as well as copy-number-neutral events. Finally, we touch upon regions showing intratumor heterogeneity, and how they can be detected in ASCAT profiles. All source code and data described here can be found at our ASCAT Web site ( http://www.ifi.uio.no/forskning/grupper/bioinf/Projects/ASCAT/).

  16. SNP detection and prediction of variability between chicken lines using genome resequencing of DNA pools

    Directory of Open Access Journals (Sweden)

    Carlborg Örjan

    2010-11-01

    microchromosomes, most likely because of their higher gene content. Our proposed method to estimate the SNP variation (FSV uses additional sequence information to better predict SNP informativity. The FSV scores showed higher correlations for SNPs with a larger difference in allele frequency between the populations. The correlation was strongest on macrochromosomes, probably due to a lower recombination rate.

  17. High-throughput SNP genotyping in Cucurbita pepo for map construction and quantitative trait loci mapping

    Directory of Open Access Journals (Sweden)

    Esteras Cristina

    2012-02-01

    Full Text Available Abstract Background Cucurbita pepo is a member of the Cucurbitaceae family, the second- most important horticultural family in terms of economic importance after Solanaceae. The "summer squash" types, including Zucchini and Scallop, rank among the highest-valued vegetables worldwide. There are few genomic tools available for this species. The first Cucurbita transcriptome, along with a large collection of Single Nucleotide Polymorphisms (SNP, was recently generated using massive sequencing. A set of 384 SNP was selected to generate an Illumina GoldenGate assay in order to construct the first SNP-based genetic map of Cucurbita and map quantitative trait loci (QTL. Results We herein present the construction of the first SNP-based genetic map of Cucurbita pepo using a population derived from the cross of two varieties with contrasting phenotypes, representing the main cultivar groups of the species' two subspecies: Zucchini (subsp. pepo × Scallop (subsp. ovifera. The mapping population was genotyped with 384 SNP, a set of selected EST-SNP identified in silico after massive sequencing of the transcriptomes of both parents, using the Illumina GoldenGate platform. The global success rate of the assay was higher than 85%. In total, 304 SNP were mapped, along with 11 SSR from a previous map, giving a map density of 5.56 cM/marker. This map was used to infer syntenic relationships between C. pepo and cucumber and to successfully map QTL that control plant, flowering and fruit traits that are of benefit to squash breeding. The QTL effects were validated in backcross populations. Conclusion Our results show that massive sequencing in different genotypes is an excellent tool for SNP discovery, and that the Illumina GoldenGate platform can be successfully applied to constructing genetic maps and performing QTL analysis in Cucurbita. This is the first SNP-based genetic map in the Cucurbita genus and is an invaluable new tool for biological research

  18. Interactions Between SNP Alleles at Multiple Loci and Variation in Skin Pigmentation in 122 Caucasians

    Directory of Open Access Journals (Sweden)

    Sumiko Anno

    2007-01-01

    Full Text Available This study was undertaken to clarify the molecular basis for human skin color variation and the environmental adaptability to ultraviolet irradiation, with the ultimate goal of predicting the impact of changes in future environments on human health risk. One hundred twenty-two Caucasians living in Toledo, Ohio participated. Back and cheek skin were assayed for melanin as a quantitative trait marker. Buccal cell samples were collected and used for DNA extraction. DNA was used for SNP genotyping using the Masscode™ system, which entails two-step PCR amplification and a platform chemistry which allows cleavable mass spectrometry tags. The results show gene-gene interaction between SNP alleles at multiple loci (not necessarily on the same chromosome contributes to inter-individual skin color variation while suggesting a high probability of linkage disequilibrium. Confirmation of these findings requires further study with other ethic groups to analyze the associations between SNP alleles at multiple loci and human skin color variation. Our overarching goal is to use remote sensing data to clarify the interaction between atmospheric environments and SNP allelic frequency and investigate human adaptability to ultraviolet irradiation. Such information should greatly assist in the prediction of the health effects of future environmental changes such as ozone depletion and increased ultraviolet exposure. If such health effects are to some extent predictable, it might be possible to prepare for such changes in advance and thus reduce the extent of their impact.

  19. High-Throughput SNP Discovery And Genetic Mapping In Perennial Ryegrass

    DEFF Research Database (Denmark)

    Asp, Torben; Studer, Bruno; Lübberstedt, Thomas

    Gene-associated single nucleotide polymorphisms (SNPs) are of major interest for genome analysis and breeding applications in the key grassland species perennial ryegrass. High-throughput 454 Titanium transcriptome sequencing was performed on two genotypes, which previously have been used to esta...... in the VrnA mapping population. Here we report on large-scale SNP discovery, and the construction of a genetic map enabling QTL fine mapping, map-based cloning, and comparative genomics in perennial ryegrass....... to establish the VrnA F2 mapping population. The sequences were assembled and used for in-silico SNP discovery. SNPs supported by a minimum number of eight reads, within candidate genes for important agronomic traits, were selected for Illumina GoldenGate genotyping and used to map 768 expressed genes...

  20. SNP calling by sequencing pooled samples

    Directory of Open Access Journals (Sweden)

    Raineri Emanuele

    2012-09-01

    Full Text Available Abstract Background Performing high throughput sequencing on samples pooled from different individuals is a strategy to characterize genetic variability at a small fraction of the cost required for individual sequencing. In certain circumstances some variability estimators have even lower variance than those obtained with individual sequencing. SNP calling and estimating the frequency of the minor allele from pooled samples, though, is a subtle exercise for at least three reasons. First, sequencing errors may have a much larger relevance than in individual SNP calling: while their impact in individual sequencing can be reduced by setting a restriction on a minimum number of reads per allele, this would have a strong and undesired effect in pools because it is unlikely that alleles at low frequency in the pool will be read many times. Second, the prior allele frequency for heterozygous sites in individuals is usually 0.5 (assuming one is not analyzing sequences coming from, e.g. cancer tissues, but this is not true in pools: in fact, under the standard neutral model, singletons (i.e. alleles of minimum frequency are the most common class of variants because P(f ∝ 1/f and they occur more often as the sample size increases. Third, an allele appearing only once in the reads from a pool does not necessarily correspond to a singleton in the set of individuals making up the pool, and vice versa, there can be more than one read – or, more likely, none – from a true singleton. Results To improve upon existing theory and software packages, we have developed a Bayesian approach for minor allele frequency (MAF computation and SNP calling in pools (and implemented it in a program called snape: the approach takes into account sequencing errors and allows users to choose different priors. We also set up a pipeline which can simulate the coalescence process giving rise to the SNPs, the pooling procedure and the sequencing. We used it to compare the

  1. Evaluation of TP53 Pro72Arg and MDM2 SNP285-SNP309 polymorphisms in an Italian cohort of LFS suggestive patients lacking identifiable TP53 germline mutations.

    Science.gov (United States)

    Ponti, Francesca; Corsini, Serena; Gnoli, Maria; Pedrini, Elena; Mordenti, Marina; Sangiorgi, Luca

    2016-10-01

    Li-Fraumeni syndrome (LFS) is a rare genetic cancer predisposition disease, partly determined by the presence of a TP53 germline mutation; lacking thereof, in presence of a typical LFS phenotype, defines a wide group of 'LFS Suggestive' patients. Alternative LFS susceptibility genes have been investigated without promising results, thus suggesting other genetic determinants involvement in cancer predisposition. Hence, this study explores the single and combined effects of cancer risk, age of onset and cancer type of three single nucleotide polymorphisms (SNPs)-TP53 Pro72Arg, MDM2 SNP285 and SNP309-already described as modifiers on TP53 mutation carriers but not properly investigated in LFS Suggestive patients. This case-control study examines 34 Italian LFS Suggestive lacking of germline TP53 mutations and 95 tumour-free subjects. A significant prevalence of homozygous MDM2 SNP309 G in the LFS Suggestive group (p TP53 positive families. Conversely its anticipating role on tumour onset has not been confirmed, as in our results it was associated with the SNP309 T allele. A strong combined outcome with a 'dosage' effect has also been reported for TP53 P72 and MDM2 SNP309 G allele on cancer susceptibility (p < 0.0005). Whereas the MDM2 SNP285 C allele neutralizing effect on MDM2 SNP309 G variant is not evident in our population. Although it needs further evaluations, obtained results strengthen the role of MDM2 SNP309 as a genetic factor in hereditary predisposition to cancer, so improving LFS Suggestive patients management.

  2. Interactions between SNP Alleles at Multiple Loci Contribute to Skin Color Differences between Caucasoid and Mongoloid Subjects

    Directory of Open Access Journals (Sweden)

    Sumiko Anno, Takashi Abe, Takushi Yamamoto

    2008-01-01

    Full Text Available This study aimed to identify single nucleotide polymorphism (SNP alleles at multiple loci associated with racial differences in skin color using SNP genotyping. A total of 122 Caucasians in Toledo, Ohio and 100 Mongoloids in Japan were genotyped for 20 SNPs in 7 candidate genes, encoding the Agouti signaling protein (ASIP, tyrosinase-related protein 1 (TYRP1, tyrosinase (TYR, melanocortin 1 receptor (MC1R, oculocutaneous albinism II (OCA2, microphthalmia-associated transcription factor (MITF, and myosin VA (MYO5A. Data were used to analyze associations between the 20 SNP alleles using linkage disequilibrium (LD. Combinations of SNP alleles were jointly tested under LD for associations with racial groups by performing a χ2 test for independence. Results showed that SNP alleles at multiple loci can be considered the haplotype that contributes to significant differences between the two population groups and suggest a high probability of LD. Confirmation of these findings requires further study with other ethnic groups to analyze the associations between SNP alleles at multiple loci and skin color variation among races.

  3. Development of Functional SNP Markers Anchored PpKO Gene in Pear%基于梨贝壳杉烯氧化酶基因PpKO序列的功能性SNP标记

    Institute of Scientific and Technical Information of China (English)

    田义轲; 王彩虹; 白牡丹; 殷豪; 李节法

    2012-01-01

    The functional markers based on gene sequences are ideal markers for genotyping,gene mapping and marker assistant selection for associated traits. In this research,5 PCR primer pairs were designed according to the cDNA sequence of PpKO gene in pear which codes the protein of ent-kaurene oxidase(KO),one of the key enzymes in the path of gibberellin synthesis. These primer pairs were tested in the population derived from the cross of‘Aishengli’בChili’by high resolution melting(HRM) ananlysis,and one of them was selected for genotyping. Furthermore,the fine genotyping function of this primer pair was confirmed by 9 cultivars. Sequencing and comparison of amplicons from the progenies and the 9 cultivars showed that the primer pair could amplified a fragment of 200 bp in length,which located in the eighth exon of PpKO gene,with 2 non-synonymous SNPs(single nucleotide polymor- phisms)detected. The two SNPs are genetic markers suitable for high resolution analysis,which are useful tools for genetic mapping,gene location and germplasm identification.%基于基因序列的功能性标记是基因分型、图谱定位和相关性状标记辅助选择的理想标记。以'矮生梨'×'茌梨'的梨杂交分离群体和9个梨栽培品种为试材,以梨赤霉素合成代谢途径的关键酶基因--贝壳杉烯氧化酶基因(PpKO)的cDNA序列为基础,设计5对PCR引物,通过高通量熔解曲线(high resolution melting,HRM)分析,筛选到可对基因进行良好分型的1对引物。通过对杂种后代和测试品种的测序分析表明,此对引物的扩增子是一个位于PpKO第8外显子上的长度为200bp的序列,从中共检测到两处单核苷酸多态性(single nucleotide polymorphism,SNP)变化,且均为非同义cSNP。这两处SNP标记均可以作为适合高通量分析的遗传标记在遗传作图、基因定位或资源鉴定中加以利用。

  4. Imputation of KIR Types from SNP Variation Data.

    Science.gov (United States)

    Vukcevic, Damjan; Traherne, James A; Næss, Sigrid; Ellinghaus, Eva; Kamatani, Yoichiro; Dilthey, Alexander; Lathrop, Mark; Karlsen, Tom H; Franke, Andre; Moffatt, Miriam; Cookson, William; Trowsdale, John; McVean, Gil; Sawcer, Stephen; Leslie, Stephen

    2015-10-01

    Large population studies of immune system genes are essential for characterizing their role in diseases, including autoimmune conditions. Of key interest are a group of genes encoding the killer cell immunoglobulin-like receptors (KIRs), which have known and hypothesized roles in autoimmune diseases, resistance to viruses, reproductive conditions, and cancer. These genes are highly polymorphic, which makes typing expensive and time consuming. Consequently, despite their importance, KIRs have been little studied in large cohorts. Statistical imputation methods developed for other complex loci (e.g., human leukocyte antigen [HLA]) on the basis of SNP data provide an inexpensive high-throughput alternative to direct laboratory typing of these loci and have enabled important findings and insights for many diseases. We present KIR∗IMP, a method for imputation of KIR copy number. We show that KIR∗IMP is highly accurate and thus allows the study of KIRs in large cohorts and enables detailed investigation of the role of KIRs in human disease.

  5. A novel approach to analyzing fMRI and SNP data via parallel independent component analysis

    Science.gov (United States)

    Liu, Jingyu; Pearlson, Godfrey; Calhoun, Vince; Windemuth, Andreas

    2007-03-01

    There is current interest in understanding genetic influences on brain function in both the healthy and the disordered brain. Parallel independent component analysis, a new method for analyzing multimodal data, is proposed in this paper and applied to functional magnetic resonance imaging (fMRI) and a single nucleotide polymorphism (SNP) array. The method aims to identify the independent components of each modality and the relationship between the two modalities. We analyzed 92 participants, including 29 schizophrenia (SZ) patients, 13 unaffected SZ relatives, and 50 healthy controls. We found a correlation of 0.79 between one fMRI component and one SNP component. The fMRI component consists of activations in cingulate gyrus, multiple frontal gyri, and superior temporal gyrus. The related SNP component is contributed to significantly by 9 SNPs located in sets of genes, including those coding for apolipoprotein A-I, and C-III, malate dehydrogenase 1 and the gamma-aminobutyric acid alpha-2 receptor. A significant difference in the presences of this SNP component is found between the SZ group (SZ patients and their relatives) and the control group. In summary, we constructed a framework to identify the interactions between brain functional and genetic information; our findings provide new insight into understanding genetic influences on brain function in a common mental disorder.

  6. Lack of an association of miR-938 SNP in IDDM10 with human type 1 diabetes

    Directory of Open Access Journals (Sweden)

    Mi Xiaofan

    2011-10-01

    Full Text Available Abstract MicroRNAs (miRNAs are a newly discovered type of small non-protein coding RNA that function in the inhibition of effective mRNA translation, and may serve as susceptibility genes for various disease developments. The SNP rs12416605, located in human type 1 diabetes IDDM10 locus, changes the seeding sequence (UGU[G/A]CCC of miRNA miR-938 and potentially alters miR-938 targets, including IL-16 and IL-17A. In an attempt to test whether miR-938 may be a susceptibility gene for IDDM10, we assessed the possible association of the miR-938 SNP with T1D in an American Caucasian cohort of 622 patients and 723 healthy controls by TaqMan assay. Our current data do not support the association between the SNP in miR-938 and type 1 diabetes.

  7. Study on IGF Ⅱ Gene SNP and its Effect on Meat Traits in Jilin White Goose%吉林白鹅类胰岛素生长因子Ⅱ的SNP及其与屠体性状的相关性分析

    Institute of Scientific and Technical Information of China (English)

    徐晶; 单雪松

    2011-01-01

    Five primers were designed to amplify IGF Ⅱ gene and SNPs were detected by PCR-SSCP in 85 Jilin white goose meat stock population. The population genetic construction and the correlation between SNPs and carcass traits were analyzed.The results of PCR-SSCP showed that there were 3 genotypes of AA, AB, BB in exon 3 region of IGFⅡ , the genotypic frequency were 0. 7647, 0. 1412 and 0. 0941, respectively,AA was dominance genotypes. There were 2 allele genes of A,B, gene frequency were 0. 8353 and 0. 1647, respectively, A was dominance allele gene. One SNP was found in exon 3 region of IGF Ⅱ (A→G), sequence analogy indicated that it was a silent mutation, and the amino sequence was not change. By variance analysis for three genotypes, AA, AB genotypes were significant lower than BB genotype for half wipe chest weight and liver weight (P <0.05), AA genotype were significant lower than BB genotype for leg weight (P<0.01). There were no significant level for whole wipe chest, chest weight and wing weight(P>0.05).%试验设计了5对引物,采用PCR-SSCP方法对吉林白鹅肉用品系85只个体类胰岛素生长因子Ⅱ(IGFⅡ)进行了SNP检测,分析其群体遗传结构,并对SNP与屠体性状的相关性进行了研究.结果表明,在IGFⅡ外显子3中存在3种基因型AA、AB、BB基因型,基因型频率分别为0.7647、0.1412、0.0941,AA为优势基因型;存在2种等位基因A、B,基因频率分别为0.8353、0.1647,A为优势等位基因.IGFⅡ外显子3中发现1处SNP位点(A→G),该突变为沉默突变,未引起氨基酸序列改变.对3种基因型进行方差分析,结果发现,BB基因型个体半净膛重、肝脏重显著高于AA、AB基因型(P0.05).

  8. MMP3基因启动子rs102715950(5A/6A)单核苷酸多态性与河南人群食管鳞癌易感性的关系%Association between SNP rs102715950(5A/6A) of MMP3 Gene and Susceptibility to Esophageal Squamous Cell Carcinoma in Different Groups of People in Henan

    Institute of Scientific and Technical Information of China (English)

    李劲; 李可可; 姚品芳; 陈静波; 陈真

    2014-01-01

    为研究MMP3基因5′端转录调控区rs102715950(5A/6A)单核苷酸多态性与河南人群食管癌易感性的关系,通过蛋白酶K法提取基因组DNA,Nested PCR扩增目的基因片段,用Tth111I进行酶切,PAGE电泳检测酶切结果,对河南散发、正常、高发区3种人群进行了MMP3基因SNP rs102715950(5A/6A)基因分型,用SPSS软件作了Logistic回归统计分析.结果表明:在MMP3基因rs102715950(5A/6A)单核苷酸多态性上,河南食管癌散发人群、河南正常人群、湖北的河南移民人群3类人群相互之间并无显著性差异( p>0.01),说明MMP3基因rs102715950(5A/6A)单核苷酸多态性与河南人群的食管鳞癌易感性无显著相关性.%To explore the association between SNP rs 102715950(5A/6A) in 5′-end regulation region of MMP3 gene and susceptibility to esophageal squamous cell carcinoma ( ESCC ) in different groups of people in Henan , Genomic DNA was extracted from peripheral blood with the proteinase K method .The genotyping was carried out by PCR-RFLP and analyzed comparatively.Then the results of genotyping were analyzed by SPSS 19.0.The results showed that there was no statistical differences in the genotyping of MMP3 SNP rs102715950(5A/6A) of among 3 groups of people ,including sporadic cases of esophageal cancer , migrants of the high incidence area and healthy controls in Henan .So there was no obvious correlations between the MMP3 SNP rs102715950(5A/6A) with the susceptibility of esophageal squamous cell carcinoma among the people in Henan .

  9. SNIT: SNP identification for strain typing

    Directory of Open Access Journals (Sweden)

    Reifman Jaques

    2011-09-01

    Full Text Available Abstract With ever-increasing numbers of microbial genomes being sequenced, efficient tools are needed to perform strain-level identification of any newly sequenced genome. Here, we present the SNP identification for strain typing (SNIT pipeline, a fast and accurate software system that compares a newly sequenced bacterial genome with other genomes of the same species to identify single nucleotide polymorphisms (SNPs and small insertions/deletions (indels. Based on this information, the pipeline analyzes the polymorphic loci present in all input genomes to identify the genome that has the fewest differences with the newly sequenced genome. Similarly, for each of the other genomes, SNIT identifies the input genome with the fewest differences. Results from five bacterial species show that the SNIT pipeline identifies the correct closest neighbor with 75% to 100% accuracy. The SNIT pipeline is available for download at http://www.bhsai.org/snit.html

  10. Development and characterization of a high density SNP genotyping assay for cattle.

    Directory of Open Access Journals (Sweden)

    Lakshmi K Matukumalli

    Full Text Available The success of genome-wide association (GWA studies for the detection of sequence variation affecting complex traits in human has spurred interest in the use of large-scale high-density single nucleotide polymorphism (SNP genotyping for the identification of quantitative trait loci (QTL and for marker-assisted selection in model and agricultural species. A cost-effective and efficient approach for the development of a custom genotyping assay interrogating 54,001 SNP loci to support GWA applications in cattle is described. A novel algorithm for achieving a compressed inter-marker interval distribution proved remarkably successful, with median interval of 37 kb and maximum predicted gap of <350 kb. The assay was tested on a panel of 576 animals from 21 cattle breeds and six outgroup species and revealed that from 39,765 to 46,492 SNP are polymorphic within individual breeds (average minor allele frequency (MAF ranging from 0.24 to 0.27. The assay also identified 79 putative copy number variants in cattle. Utility for GWA was demonstrated by localizing known variation for coat color and the presence/absence of horns to their correct genomic locations. The combination of SNP selection and the novel spacing algorithm allows an efficient approach for the development of high-density genotyping platforms in species having full or even moderate quality draft sequence. Aspects of the approach can be exploited in species which lack an available genome sequence. The BovineSNP50 assay described here is commercially available from Illumina and provides a robust platform for mapping disease genes and QTL in cattle.

  11. SNPConvert: SNP Array Standardization and Integration in Livestock Species

    Science.gov (United States)

    Nicolazzi, Ezequiel Luis; Marras, Gabriele; Stella, Alessandra

    2016-01-01

    One of the main advantages of single nucleotide polymorphism (SNP) array technology is providing genotype calls for a specific number of SNP markers at a relatively low cost. Since its first application in animal genetics, the number of available SNP arrays for each species has been constantly increasing. However, conversely to that observed in whole genome sequence data analysis, SNP array data does not have a common set of file formats or coding conventions for allele calling. Therefore, the standardization and integration of SNP array data from multiple sources have become an obstacle, especially for users with basic or no programming skills. Here, we describe the difficulties related to handling SNP array data, focusing on file formats, SNP allele coding, and mapping. We also present SNPConvert suite, a multi-platform, open-source, and user-friendly set of tools to overcome these issues. This tool, which can be integrated with open-source and open-access tools already available, is a first step towards an integrated system to standardize and integrate any type of raw SNP array data. The tool is available at: https://github. com/nicolazzie/SNPConvert.git. PMID:27600083

  12. Evaluation of the Ion Torrent™ HID SNP 169-plex

    DEFF Research Database (Denmark)

    Børsting, Claus; Fordyce, Sarah L; Olofsson, Jill Katharina

    2014-01-01

    in our ISO 17025 accredited laboratory. Concordance between the Ion Torrent™ HID SNP assay and the SNPforID assay was tested by typing 44 Iraqis twice with the Ion Torrent™ HID SNP assay. The same samples were previously typed with the SNPforID assay and the Y-chromosome haplogroups of the individuals...

  13. SNPConvert: SNP Array Standardization and Integration in Livestock Species

    Directory of Open Access Journals (Sweden)

    Ezequiel Luis Nicolazzi

    2016-06-01

    Full Text Available One of the main advantages of single nucleotide polymorphism (SNP array technology is providing genotype calls for a specific number of SNP markers at a relatively low cost. Since its first application in animal genetics, the number of available SNP arrays for each species has been constantly increasing. However, conversely to that observed in whole genome sequence data analysis, SNP array data does not have a common set of file formats or coding conventions for allele calling. Therefore, the standardization and integration of SNP array data from multiple sources have become an obstacle, especially for users with basic or no programming skills. Here, we describe the difficulties related to handling SNP array data, focusing on file formats, SNP allele coding, and mapping. We also present SNPConvert suite, a multi-platform, open-source, and user-friendly set of tools to overcome these issues. This tool, which can be integrated with open-source and open-access tools already available, is a first step towards an integrated system to standardize and integrate any type of raw SNP array data. The tool is available at: https://github. com/nicolazzie/SNPConvert.git.

  14. Applicability of DNA pools on 500 K SNP microarrays for cost-effective initial screens in genomewide association studies

    Directory of Open Access Journals (Sweden)

    Schalkwyk Leonard C

    2007-07-01

    Full Text Available Abstract Background Genetic influences underpinning complex traits are thought to involve multiple quantitative trait loci (QTLs of small effect size. Detection of such QTL associations requires systematic screening of large numbers of DNA markers within large sample populations. Using pooled DNA on SNP microarrays to screen for allelic frequency differences between groups such as cases and controls (called SNP Microarray and Pooling, or SNP-MaP has been validated as an efficient solution on both 10 k and 100 k platforms. We demonstrate that this approach can be effectively applied to the truly genomewide Affymetrix GeneChip® Mapping 500 K Array. Results In comparisons between five independent DNA pools (N ~200 per pool on separate Affymetrix GeneChip® Mapping 500 K Array sets, we show that, for SNPs with minor allele frequencies > 0.05, the reliability of the rank order of estimated allele frequencies, assessed as the average correlation between allele frequency estimates across the DNA pools, was 0.948 (average mean difference across the five pools = 0.069. Similarly, validity of the SNP-MaP approach was demonstrated by a rank-order correlation of 0.937 (average mean difference = 0.095 between the average DNA pool allele frequency estimates and the allele frequencies of an independent (CEPH sample of 60 unrelated individually genotyped subjects. Conclusion We conclude that SNP-MaP can be extended for use on the Affymetrix GeneChip® Mapping 500 K Array, providing a cost-effective, reliable and valid initial screen of 500 K SNP microarrays in genomewide association scans.

  15. Whole-genome single-nucleotide polymorphism (SNP marker discovery and association analysis with the eicosapentaenoic acid (EPA and docosahexaenoic acid (DHA content in Larimichthys crocea

    Directory of Open Access Journals (Sweden)

    Shijun Xiao

    2016-12-01

    Full Text Available Whole-genome single-nucleotide polymorphism (SNP markers are valuable genetic resources for the association and conservation studies. Genome-wide SNP development in many teleost species are still challenging because of the genome complexity and the cost of re-sequencing. Genotyping-By-Sequencing (GBS provided an efficient reduced representative method to squeeze cost for SNP detection; however, most of recent GBS applications were reported on plant organisms. In this work, we used an EcoRI-NlaIII based GBS protocol to teleost large yellow croaker, an important commercial fish in China and East-Asia, and reported the first whole-genome SNP development for the species. 69,845 high quality SNP markers that evenly distributed along genome were detected in at least 80% of 500 individuals. Nearly 95% randomly selected genotypes were successfully validated by Sequenom MassARRAY assay. The association studies with the muscle eicosapentaenoic acid (EPA and docosahexaenoic acid (DHA content discovered 39 significant SNP markers, contributing as high up to ∼63% genetic variance that explained by all markers. Functional genes that involved in fat digestion and absorption pathway were identified, such as APOB, CRAT and OSBPL10. Notably, PPT2 Gene, previously identified in the association study of the plasma n-3 and n-6 polyunsaturated fatty acid level in human, was re-discovered in large yellow croaker. Our study verified that EcoRI-NlaIII based GBS could produce quality SNP markers in a cost-efficient manner in teleost genome. The developed SNP markers and the EPA and DHA associated SNP loci provided invaluable resources for the population structure, conservation genetics and genomic selection of large yellow croaker and other fish organisms.

  16. Influence of the MDM2 single nucleotide polymorphism SNP309 on tumour development in BRCA1 mutation carriers

    Directory of Open Access Journals (Sweden)

    Johnson Peter W

    2006-03-01

    Full Text Available Abstract Background The MDM2 gene encodes a negative regulator of the p53 tumour suppressor protein. A single nucleotide polymorphism (SNP in the MDM2 promoter (a T to G exchange at nucleotide 309 has been reported to produce accelerated tumour formation in individuals with inherited p53 mutations. We have investigated the effect of the MDM2 SNP309 on clinical outcome in a cohort of patients with germline mutations of BRCA1. Methods Genomic DNA was obtained for 102 healthy controls and 116 patients with established pathogenic mutations of BRCA1 and Pyrosequencing technology™ was used to determine the genotype at the MDM2 SNP309 locus. Results The polymorphism was present in 52.9% of the controls (G/T in 37.3% and G/G in 15.6% and 58.6% of the BRCA1 mutation carriers (47.4% G/T and 11.2% G/G. Incidence of malignancy in female BRCA1 carriers was not significantly higher in SNP309 carriers than in wildtype (T/T individuals (72.7% vs. 75.6%, p = 1.00. Mean age of diagnosis of first breast cancer was 41.2 years in the SNP309 G/G genotype carriers, 38.6 years in those with the SNP309 G/T genotype and 39.0 years in wildtype subjects (p = 0.80. Conclusion We found no evidence that the MDM2 SNP309 accelerates tumour development in carriers of known pathogenic germline mutations of BRCA1.

  17. Mutations of C-reactive protein (CRP) -286 SNP, APC and p53 in colorectal cancer: implication for a CRP-Wnt crosstalk.

    Science.gov (United States)

    Su, Hai-Xiang; Zhou, Hai-Hong; Wang, Ming-Yu; Cheng, Jin; Zhang, Shi-Chao; Hui, Feng; Chen, Xue-Zhong; Liu, Shan-Hui; Liu, Qin-Jiang; Zhu, Zi-Jiang; Hu, Qing-Rong; Wu, Yi; Ji, Shang-Rong

    2014-01-01

    C-reactive protein (CRP) is an established marker of inflammation with pattern-recognition receptor-like activities. Despite the close association of the serum level of CRP with the risk and prognosis of several types of cancer, it remains elusive whether CRP contributes directly to tumorigenesis or just represents a bystander marker. We have recently identified recurrent mutations at the SNP position -286 (rs3091244) in the promoter of CRP gene in several tumor types, instead suggesting that locally produced CRP is a potential driver of tumorigenesis. However, it is unknown whether the -286 site is the sole SNP position of CRP gene targeted for mutation and whether there is any association between CRP SNP mutations and other frequently mutated genes in tumors. Herein, we have examined the genotypes of three common CRP non-coding SNPs (rs7553007, rs1205, rs3093077) in tumor/normal sample pairs of 5 cancer types (n = 141). No recurrent somatic mutations are found at these SNP positions, indicating that the -286 SNP mutations are preferentially selected during the development of cancer. Further analysis reveals that the -286 SNP mutations of CRP tend to co-occur with mutated APC particularly in rectal cancer (p = 0.04; n = 67). By contrast, mutations of CRP and p53 or K-ras appear to be unrelated. There results thus underscore the functional importance of the -286 mutation of CRP in tumorigenesis and imply an interaction between CRP and Wnt signaling pathway.

  18. Automated SNP Genotype Clustering Algorithm to Improve Data Completeness in High-Throughput SNP Genotyping Datasets from Custom Arrays

    Institute of Scientific and Technical Information of China (English)

    Edward; M.; Smith; Jack; Littrell; Michael; Olivier

    2007-01-01

    High-throughput SNP genotyping platforms use automated genotype calling algo- rithms to assign genotypes. While these algorithms work efficiently for individual platforms, they are not compatible with other platforms, and have individual biases that result in missed genotype calls. Here we present data on the use of a second complementary SNP genotype clustering algorithm. The algorithm was originally designed for individual fluorescent SNP genotyping assays, and has been opti- mized to permit the clustering of large datasets generated from custom-designed Affymetrix SNP panels. In an analysis of data from a 3K array genotyped on 1,560 samples, the additional analysis increased the overall number of genotypes by over 45,000, significantly improving the completeness of the experimental data. This analysis suggests that the use of multiple genotype calling algorithms may be ad- visable in high-throughput SNP genotyping experiments. The software is written in Perl and is available from the corresponding author.

  19. Effect of Tryptophan Hydroxylase-2 rs7305115 SNP on suicide attempts risk in major depression

    Directory of Open Access Journals (Sweden)

    Zhang Yuqi

    2010-08-01

    Full Text Available Abstract Background Suicide and major depressive disorders (MDD are strongly associated, and genetic factors are responsible for at least part of the variability in suicide risk. We investigated whether variation at the tryptophan hydroxylase-2 (TPH2 gene rs7305115 SNP may predispose to suicide attempts in MDD. Methods We genotyped TPH2 gene rs7305115 SNP in 215 MDD patients with suicide and matched MDD patients without suicide. Differences in behavioral and personality traits according to genotypic variation were investigated by logistic regression analysis. Results There were no significant differences between MDD patients with suicide and controls in genotypic (AG and GG frequencies for rs7305115 SNP, but the distribution of AA genotype differed significantly (14.4% vs. 29.3%, p p p Conclusions The study suggested that hopelessness, negative life events and family history of suicide were risk factors of attempted suicide in MDD while the TPH2 rs7305115A remained a significant protective predictor of suicide attempts.

  20. High-resolution SNP array analysis of patients with developmental disorder and normal array CGH results

    Directory of Open Access Journals (Sweden)

    Siggberg Linda

    2012-09-01

    Full Text Available Abstract Background Diagnostic analysis of patients with developmental disorders has improved over recent years largely due to the use of microarray technology. Array methods that facilitate copy number analysis have enabled the diagnosis of up to 20% more patients with previously normal karyotyping results. A substantial number of patients remain undiagnosed, however. Methods and Results Using the Genome-Wide Human SNP array 6.0, we analyzed 35 patients with a developmental disorder of unknown cause and normal array comparative genomic hybridization (array CGH results, in order to characterize previously undefined genomic aberrations. We detected no seemingly pathogenic copy number aberrations. Most of the vast amount of data produced by the array was polymorphic and non-informative. Filtering of this data, based on copy number variant (CNV population frequencies as well as phenotypically relevant genes, enabled pinpointing regions of allelic homozygosity that included candidate genes correlating to the phenotypic features in four patients, but results could not be confirmed. Conclusions In this study, the use of an ultra high-resolution SNP array did not contribute to further diagnose patients with developmental disorders of unknown cause. The statistical power of these results is limited by the small size of the patient cohort, and interpretation of these negative results can only be applied to the patients studied here. We present the results of our study and the recurrence of clustered allelic homozygosity present in this material, as detected by the SNP 6.0 array.

  1. Rapid Detection of Rare Deleterious Variants by Next Generation Sequencing with Optional Microarray SNP Genotype Data.

    Science.gov (United States)

    Watson, Christopher M; Crinnion, Laura A; Gurgel-Gianetti, Juliana; Harrison, Sally M; Daly, Catherine; Antanavicuite, Agne; Lascelles, Carolina; Markham, Alexander F; Pena, Sergio D J; Bonthron, David T; Carr, Ian M

    2015-09-01

    Autozygosity mapping is a powerful technique for the identification of rare, autosomal recessive, disease-causing genes. The ease with which this category of disease gene can be identified has greatly increased through the availability of genome-wide SNP genotyping microarrays and subsequently of exome sequencing. Although these methods have simplified the generation of experimental data, its analysis, particularly when disparate data types must be integrated, remains time consuming. Moreover, the huge volume of sequence variant data generated from next generation sequencing experiments opens up the possibility of using these data instead of microarray genotype data to identify disease loci. To allow these two types of data to be used in an integrated fashion, we have developed AgileVCFMapper, a program that performs both the mapping of disease loci by SNP genotyping and the analysis of potentially deleterious variants using exome sequence variant data, in a single step. This method does not require microarray SNP genotype data, although analysis with a combination of microarray and exome genotype data enables more precise delineation of disease loci, due to superior marker density and distribution.

  2. A non-synonymous SNP with the allele frequency correlated with the altitude may contribute to the hypoxia adaptation of Tibetan chicken.

    Science.gov (United States)

    Li, Sichen; Li, Diyan; Zhao, Xiaoling; Wang, Yan; Yin, Huadong; Zhou, Lanyun; Zhong, Chengling; Zhu, Qing

    2017-01-01

    The hypoxia adaptation to high altitudes is of considerable interest in the biological sciences. As a breed with adaptability to highland environments, the Tibetan chicken (Gallus gallus domestics), provides a biological model to search for genetic differences between high and lowland chickens. To address mechanisms of hypoxia adaptability at high altitudes for the Tibetan chicken, we focused on the Endothelial PAS domain protein 1 (EPAS1), a key regulatory factor in hypoxia responses. Detected were polymorphisms of EPAS1 exons in 157 Tibetan chickens from 8 populations and 139 lowland chickens from 7 breeds. We then designed 15 pairs of primers to amplify exon sequences by Sanger sequencing methods. Six single nucleotide polymorphisms (SNPs) were detected, including 2 missense mutations (SNP3 rs316126786 and SNP5 rs740389732) and 4 synonymous mutations (SNP1 rs315040213, SNP4 rs739281102, SNP6 rs739010166, and SNP2 rs14330062). There were negative correlations between altitude and mutant allele frequencies for both SNP6 (rs739010166, r = 0.758, pchicken. These variations of EPAS1 provide new insights into the gene's function.

  3. Association analysis for udder health based on SNP-panel and sequence data in Danish Holsteins

    DEFF Research Database (Denmark)

    Wu, Xiaoping; Lund, Mogens S; Sahana, Goutam;

    2015-01-01

    for mastitis traits: 54 k markers of a medium-density SNP (single nucleotide polymorphism) chip (MD), imputed 777 k markers of a high-density SNP chip (HD), and imputed whole-genome sequencing data (SEQ). Each dataset contained data for 4496 Danish Holstein cattle. Comparisons were performed using a linear...... when tested using the same statistical model. With the LM model, 120 (MD), 967 (HD), and 7209 (SEQ) SNPs were significantly associated with mastitis, whereas with the BVS model, 43 (MD), 131 (HD), and 1052 (SEQ) significant SNPs (Bayes factor > 3.2) were observed. A total of 26 (MD), 75 (HD), and 465......, LIFR, and EDN3 may be considered as candidate genes for mastitis susceptibility....

  4. Cultivar origin and admixture detection in Turkish olive oils by SNP-based CAPS assays.

    Science.gov (United States)

    Uncu, Ali Tevfik; Frary, Anne; Doganlar, Sami

    2015-03-04

    The aim of this study was to establish a DNA-based identification key to ascertain the cultivar origin of Turkish monovarietal olive oils. To reach this aim, we sequenced short fragments from five olive genes for SNP (single nucleotide polymorphism) identification and developed CAPS (cleaved amplified polymorphic DNA) assays for SNPs that alter restriction enzyme recognition motifs. When applied on the oils of 17 olive cultivars, a maximum of five CAPS assays were necessary to discriminate the varietal origin of the samples. We also tested the efficiency and limit of our approach for detecting olive oil admixtures. As a result of the analysis, we were able to detect admixing down to a limit of 20%. The SNP-based CAPS assays developed in this work can be used for testing and verification of the authenticity of Turkish monovarietal olive oils, for olive tree certification, and in germplasm characterization and preservation studies.

  5. Human population genetic diversity as a function of SNP type from HapMap data.

    Science.gov (United States)

    Garte, Seymour

    2010-01-01

    Data from the international HapMap project were mined to determine if the degree of genetic differentiation (Fst) is dependent on single nucleotide polymorphism (SNP) category. The Fst statistic was evaluated across all SNPs for each of 30 genes and for each of five chromosomes. A consistent decrease in diversity between Europeans and Africans was seen for nonsynonymous coding region SNPs compared to the three other SNP categories: synonymous SNPs, UTR, and intronic SNPs. This suggests an effect of balancing selection in reducing interpopulation genetic diversity at sites that would be expected to influence phenotype and therefore be subject to selection. This result is inconsistent with the concept of large population specific genetic differences that could have applications in "racialized medicine."

  6. A low-density SNP array for analyzing differential selection in freshwater and marine populations of threespine stickleback (Gasterosteus aculeatus)

    DEFF Research Database (Denmark)

    Ferchaud, Anne-Laure; Pedersen, Susanne H.; Bekkevold, Dorte

    2014-01-01

    have developed a cost-efficient low-density SNP array that allows for rapid screening of polymorphisms in threespine stickleback. The array provides a valuable tool for analyzing adaptive divergence between freshwater and marine stickleback populations beyond the well-established candidate gene...... stickleback populations at the phenotypic trait of lateral plate morphology and the underlying candidate gene Ectodysplacin (EDA). Many studies have focused on this trait and candidate gene, although other genes involved in marine-freshwater adaptation may be equally important. In order to develop a resource...... for rapid and cost efficient analysis of genetic divergence between freshwater and marine sticklebacks, we generated a low-density SNP (Single Nucleotide Polymorphism) array encompassing markers of chromosome regions under putative directional selection, along with neutral markers for background. Results...

  7. Periodicity of SNP distribution around transcription start sites

    Directory of Open Access Journals (Sweden)

    Hayashi Kenshi

    2006-04-01

    Full Text Available Abstract Background Several millions single nucleotide polymorphisms (SNPs have already been collected and deposited in public databases and these are important resources not only for use as markers to identify disease-associated genes, but also to understand the mechanisms that underlie the genome diversification. Results A spectrum analysis of SNP density distribution in the genomic regions around transcription start sites (TSSs revealed a remarkable periodicity of 146 nucleotides. This periodicity was observed in the regions that were associated with CpG islands (CGIs, but not in the regions without CpG islands (nonCGIs. An analysis of the sequence divergence of the same genomic regions between humans and chimpanzees also revealed a similar periodical pattern in CGI. The occurrences of any mono- or di-nucleotide sequences in these regions did not reveal such a periodicity, thus indicating that an interpretation of this periodicity solely based on the sequence-dependent susceptibility to mutation is highly unlikely. Conclusion The periodical patterns of nucleotide variability suggest the location of nucleosomes that are phased at TSS, and can be viewed as the genetic footprint of the chromatin state that has been maintained throughout mammalian evolutionary history. The results suggest the possible involvement of the nucleosome structure in the promoter function, and also a fundamental functional/structural difference between the two promoter classes, i.e., those with and without CGIs.

  8. Genomewide high-density SNP linkage analysis of non-BRCA1/2 breast cancer families identifies various candidate regions and has greater power than microsatellite studies

    NARCIS (Netherlands)

    A. González-Neira (Anna); J.M. Rosa-Rosa; A. Osorio (Ana); E. Gonzalez (Emilio); M.C. Southey (Melissa); O. Sinilnikova (Olga); H. Lynch (Henry); R.A. Oldenburg (Rogier); C.J. van Asperen (Christi); N. Hoogerbrugge (Nicoline); G. Pita (G.); P. Devilee (Peter); D. Goldgar (David); J. Benítez (Javier)

    2007-01-01

    textabstractBackground: The recent development of new high-throughput technologies for SNP genotyping has opened the possibility of taking a genome-wide linkage approach to the search for new candidate genes involved in heredity diseases. The two major breast cancer susceptibility genes BRCA1 and BR

  9. Investigation of SNP rs2060546 Immediately Upstream to NTN4 in a Danish Gilles de la Tourette Syndrome Cohort

    DEFF Research Database (Denmark)

    Padmanabhuni, Shanmukha S; Houssari, Rayan; Esserlind, Ann-Louise

    2016-01-01

    tentatively associated with GTS (in a small number of patients), the causative genes underlying GTS pathophysiology remain unknown. In a previous genome-wide association study (GWAS) a single nucleotide polymorphism (SNP, rs2060546) near the Netrin-4 (NTN4 - MIM 610401) gene was shown to be associated...

  10. Silhouette scores for assessment of SNP genotype clusters

    Directory of Open Access Journals (Sweden)

    Jonsson Mats

    2005-03-01

    Full Text Available Abstract Background High-throughput genotyping of single nucleotide polymorphisms (SNPs generates large amounts of data. In many SNP genotyping assays, the genotype assignment is based on scatter plots of signals corresponding to the two SNP alleles. In a robust assay the three clusters that define the genotypes are well separated and the distances between the data points within a cluster are short. "Silhouettes" is a graphical aid for interpretation and validation of data clusters that provides a measure of how well a data point was classified when it was assigned to a cluster. Thus "Silhouettes" can potentially be used as a quality measure for SNP genotyping results and for objective comparison of the performance of SNP assays at different circumstances. Results We created a program (ClusterA for calculating "Silhouette scores", and applied it to assess the quality of SNP genotype clusters obtained by single nucleotide primer extension ("minisequencing" in the Tag-microarray format. A Silhouette score condenses the quality of the genotype assignment for each SNP assay into a single numeric value, which ranges from 1.0, when the genotype assignment is unequivocal, down to -1.0, when the genotype assignment has been arbitrary. In the present study we applied Silhouette scores to compare the performance of four DNA polymerases in our minisequencing system by analyzing 26 SNPs in both DNA polarities in 16 DNA samples. We found Silhouettes to provide a relevant measure for the quality of SNP assays at different reaction conditions, illustrated by the four DNA polymerases here. According to our result, the genotypes can be unequivocally assigned without manual inspection when the Silhouette score for a SNP assay is > 0.65. All four DNA polymerases performed satisfactorily in our Tag-array minisequencing system. Conclusion "Silhouette scores" for assessing the quality of SNP genotyping clusters is convenient for evaluating the quality of SNP genotype

  11. High-density SNP assay development for genetic analysis in maritime pine (Pinus pinaster).

    Science.gov (United States)

    Plomion, C; Bartholomé, J; Lesur, I; Boury, C; Rodríguez-Quilón, I; Lagraulet, H; Ehrenmann, F; Bouffier, L; Gion, J M; Grivet, D; de Miguel, M; de María, N; Cervera, M T; Bagnoli, F; Isik, F; Vendramin, G G; González-Martínez, S C

    2016-03-01

    Maritime pine provides essential ecosystem services in the south-western Mediterranean basin, where it covers around 4 million ha. Its scattered distribution over a range of environmental conditions makes it an ideal forest tree species for studies of local adaptation and evolutionary responses to climatic change. Highly multiplexed single nucleotide polymorphism (SNP) genotyping arrays are increasingly used to study genetic variation in living organisms and for practical applications in plant and animal breeding and genetic resource conservation. We developed a 9k Illumina Infinium SNP array and genotyped maritime pine trees from (i) a three-generation inbred (F2) pedigree, (ii) the French breeding population and (iii) natural populations from Portugal and the French Atlantic coast. A large proportion of the exploitable SNPs (2052/8410, i.e. 24.4%) segregated in the mapping population and could be mapped, providing the densest ever gene-based linkage map for this species. Based on 5016 SNPs, natural and breeding populations from the French gene pool exhibited similar level of genetic diversity. Population genetics and structure analyses based on 3981 SNP markers common to the Portuguese and French gene pools revealed high levels of differentiation, leading to the identification of a set of highly differentiated SNPs that could be used for seed provenance certification. Finally, we discuss how the validated SNPs could facilitate the identification of ecologically and economically relevant genes in this species, improving our understanding of the demography and selective forces shaping its natural genetic diversity, and providing support for new breeding strategies.

  12. SNP based heritability estimation using a Bayesian approach

    DEFF Research Database (Denmark)

    Krag, Kristian; Janss, Luc; Mahdi Shariati, Mohammad;

    2013-01-01

    Heritability is a central element in quantitative genetics. New molecular markers to assess genetic variance and heritability are continually under development. The availability of molecular single nucleotide polymorphism (SNP) markers can be applied for estimation of variance components and heri......Heritability is a central element in quantitative genetics. New molecular markers to assess genetic variance and heritability are continually under development. The availability of molecular single nucleotide polymorphism (SNP) markers can be applied for estimation of variance components...

  13. 白细胞分化抗原-40基因SNP及其血清水平与缺血性脑卒中的相关性%Association of SNP of leukocyte differentiation antigen-CD40 gene and its serum level with ischemic stroke

    Institute of Scientific and Technical Information of China (English)

    陈健明; 黄华佗; 袁秋然; 罗宏成; 向阳; 王春芳; 蒙兰青; 韦叶生

    2016-01-01

    可能是T等位基因。%Objective To investigate the association of SNP of CD40 gene and its serum levels with ischemic stroke (IS). Methods A total of 202 IS patients from a hospital of Baise city were enrolled in case group from May 2013 to November 2014. At the same time, 109 healthy people who had physical check-ups in the outpatient department at the same hospital were enrolled in the control group. All participants were from Guangxi Zhuang Autonomous Region and unrelated to each other. 3 ml venous blood were collected on the premise of informed consent. The single nucleotide polymorphisms of CD40 gene rs1883832 C/T, rs13040307 C/T, rs752118 C/T and rs3765459 G/A were analyzed using a Snapshot SNP genotyping assays, and the serum levels of CD40 were tested by ELISA. t-test was used to compare the serum levels of CD40 between the case and control group, and the genotypes at different locuses in case group; χ2 test was used to compare the distribution differences of the CD40 gene locuses in different genotypes and allele between the case group and the control group;alleles was established as independent variables, the occurrence of the IS as dependent variable, and expressed relative risk with OR (95%CI) value. Results In the case group, the frequency of CC, CT and TT genotypes in CD40 gene rs1883832 C/T were 21.78%(44/202), 49.51%(100/202) and 28.71%(58/202), respectively, and 33.17%(66/199), 48.74%(97/199), 18.09% (36/199) in the control group, respectively, the differences between the two groups was significant (χ2=9.57,P=0.008). The CD40 serum levels were (62.7±24.5) pg/ml in the case group, which was higher than that in the control group (45.3 ± 17.2) pg/ml (t=8.97, P<0.001). The serum levels of TT and CT genotypes in CD40 gene were (65.9 ± 26.3)and (64.3 ± 25.9) pg/ml, respectively, and the differences were significant when comparing with CC genotype (t equaled 5.34 and 5.03, respectively,P<0.001). The risk of developing IS was 1.56 times higher in 1883832 T allele carriers than that

  14. MDM2 SNP309 contributes to tumor susceptibility: A meta-analysis

    Institute of Scientific and Technical Information of China (English)

    Xiaoman Wo; Dong Han; Haiming Sun; Yang Liu; Xiangning Meng; Jing Bai; Feng Chen

    2011-01-01

    The potentially functional polymorphism,SNP309,in the promoter region of MDM2 gene has been implicated in cancer risk,but individual published studies showed inconclusive results.To obtain a more precise estimate of the association between MDM2 SNP309 and risk of cancer,we performed a meta-analysis of 70 individual studies in 59 publications that included 26,160 cases with different types of tumors and 33,046 controls.Summary odds ratios (OR) and corresponding 95% confidence intervals (CIs) were estimated using fixed- and random-effects models when appropriate.Overall,the variant genotypes were associated with a significantly increased cancer risk for all cancer types in different genetic models (GG vs.TT:OR,1.123; 95% CI,1.056-1.193; GG/GT vs.TT:OR,1.028; 95% CI,1.006-1.050).In the stratified analyses,the increased risk remained for the studies of most types of cancers,Asian populations,and hospital-/population-based studies in different genetic models,whereas significantly decreased risk was found in prostate cancer (GG vs.TT:OR,0.606; 95% CI,0.407-0.903; GG/GT vs.TT:OR,0.748; 95% CI,0.579-0.968).In conclusion,the data of meta-analysis suggests that MDM2 SNP309 is a potential biomarker for cancer risk.

  15. SNP arrays in Beckwith-Wiedemann syndrome: an improved diagnostic strategy.

    Science.gov (United States)

    Keren, Boris; Chantot-Bastaraud, Sandra; Brioude, Frédéric; Mach, Corinne; Fonteneau, Eric; Azzi, Salah; Depienne, Christel; Brice, Alexis; Netchine, Irène; Le Bouc, Yves; Siffroi, Jean-Pierre; Rossignol, Sylvie

    2013-10-01

    Beckwith-Wiedemann syndrome is an overgrowth disorder with an increased risk of childhood tumors that results from a dysregulation of imprinted gene expression in the 11p15 region. Since epigenetic defects are the most frequent anomalies, first-line diagnostic methods involve methylation analysis. When paternal isodisomy is suspected, it should be confirmed by a second technique capable of distinguishing true 11p15 paternal disomy (patUPD) from paternal 11p15 duplication or 11p15 trisomy. We sought to evaluate the interest of using SNP arrays in the Beckwith-Wiedemann syndrome diagnostic strategy. We analyzed the SNP profiles of 25 Beckwith Wiedemann patients with previously determined methylation indexes. Among them, 3 had 11p15 trisomies, 13 had patUPD, 8 had an inconclusive methylation index and 1 had a normal result. All known trisomies and known patUPDs were detected. Moreover we found 7 low-rate mosaicisms 11p15 patUPDs among the 8 patients with an inconclusive methylation index. We were able to precisely characterize the sizes and mosaicism rates of the anomalies. We demonstrate that SNP arrays are of real diagnostic interest in Beckwith-Wiedemann syndrome: 1) they help to distinguish patUPDs from trisomies more precisely than karyotyping and FISH, 2) they help determine the size and mosaicism rate of patUPDs, 3) they provide complementary information in inconclusive cases, helping to distinguish low-rate patUPD mosaicism from other BWS-related molecular defects.

  16. Making a chocolate chip: development and evaluation of a 6K SNP array for Theobroma cacao.

    Science.gov (United States)

    Livingstone, Donald; Royaert, Stefan; Stack, Conrad; Mockaitis, Keithanne; May, Greg; Farmer, Andrew; Saski, Christopher; Schnell, Ray; Kuhn, David; Motamayor, Juan Carlos

    2015-08-01

    Theobroma cacao, the key ingredient in chocolate production, is one of the world's most important tree fruit crops, with ∼4,000,000 metric tons produced across 50 countries. To move towards gene discovery and marker-assisted breeding in cacao, a single-nucleotide polymorphism (SNP) identification project was undertaken using RNAseq data from 16 diverse cacao cultivars. RNA sequences were aligned to the assembled transcriptome of the cultivar Matina 1-6, and 330,000 SNPs within coding regions were identified. From these SNPs, a subset of 6,000 high-quality SNPs were selected for inclusion on an Illumina Infinium SNP array: the Cacao6kSNP array. Using Cacao6KSNP array data from over 1,000 cacao samples, we demonstrate that our custom array produces a saturated genetic map and can be used to distinguish among even closely related genotypes. Our study enhances and expands the genetic resources available to the cacao research community, and provides the genome-scale set of tools that are critical for advancing breeding with molecular markers in an agricultural species with high genetic diversity. © The Author 2015. Published by Oxford University Press on behalf of Kazusa DNA Research Institute.

  17. Identification and annotation of genetic variants (SNP/Indel) in Danish Jutland cattle

    DEFF Research Database (Denmark)

    Das, Ashutosh; Panitz, Frank; Holm, Lars-Erik

    We sequenced the whole-genome of a Danish Jutland bull to identify genetic variants (SNP/indel). Using UnifiedGenotyper from the Genome Analysis Toolkit (GATK), we identified 6,812,198 SNPs and 804,453 indels. There were 2,598,000 (38.1%) novel SNPs and 607,923(75.6%) novel indels while the remai......,122 indels in coding sequences, 832 predicted to cause frame shift, 89 predicted to be inframe insertion and 115 to be inframe deletion. We detected a higher level of genetic variation in the Jutland bull compared to similar data from Holstein cattle......We sequenced the whole-genome of a Danish Jutland bull to identify genetic variants (SNP/indel). Using UnifiedGenotyper from the Genome Analysis Toolkit (GATK), we identified 6,812,198 SNPs and 804,453 indels. There were 2,598,000 (38.1%) novel SNPs and 607,923(75.6%) novel indels while...... the remaining was annotated in dbSNP build 133. In-depth annotation of the variants revealed that 45,776 SNPs affected the coding sequences of 11,538 genes, 221 SNPs predicted to cause a premature stop codon, 17 to cause a gain in coding sequence and 20,828 predicted to be non-synonymous. We identified 1...

  18. Making a chocolate chip: development and evaluation of a 6K SNP array for Theobroma cacao

    Science.gov (United States)

    Livingstone, Donald; Royaert, Stefan; Stack, Conrad; Mockaitis, Keithanne; May, Greg; Farmer, Andrew; Saski, Christopher; Schnell, Ray; Kuhn, David; Motamayor, Juan Carlos

    2015-01-01

    Theobroma cacao, the key ingredient in chocolate production, is one of the world's most important tree fruit crops, with ∼4,000,000 metric tons produced across 50 countries. To move towards gene discovery and marker-assisted breeding in cacao, a single-nucleotide polymorphism (SNP) identification project was undertaken using RNAseq data from 16 diverse cacao cultivars. RNA sequences were aligned to the assembled transcriptome of the cultivar Matina 1-6, and 330,000 SNPs within coding regions were identified. From these SNPs, a subset of 6,000 high-quality SNPs were selected for inclusion on an Illumina Infinium SNP array: the Cacao6kSNP array. Using Cacao6KSNP array data from over 1,000 cacao samples, we demonstrate that our custom array produces a saturated genetic map and can be used to distinguish among even closely related genotypes. Our study enhances and expands the genetic resources available to the cacao research community, and provides the genome-scale set of tools that are critical for advancing breeding with molecular markers in an agricultural species with high genetic diversity. PMID:26070980

  19. ChIP on SNP-chip for genome-wide analysis of human histone H4 hyperacetylation

    Directory of Open Access Journals (Sweden)

    Porter Christopher J

    2007-09-01

    Full Text Available Abstract Background SNP microarrays are designed to genotype Single Nucleotide Polymorphisms (SNPs. These microarrays report hybridization of DNA fragments and therefore can be used for the purpose of detecting genomic fragments. Results Here, we demonstrate that a SNP microarray can be effectively used in this way to perform chromatin immunoprecipitation (ChIP on chip as an alternative to tiling microarrays. We illustrate this novel application by mapping whole genome histone H4 hyperacetylation in human myoblasts and myotubes. We detect clusters of hyperacetylated histone H4, often spanning across up to 300 kilobases of genomic sequence. Using complementary genome-wide analyses of gene expression by DNA microarray we demonstrate that these clusters of hyperacetylated histone H4 tend to be associated with expressed genes. Conclusion The use of a SNP array for a ChIP-on-chip application (ChIP on SNP-chip will be of great value to laboratories whose interest is the determination of general rules regarding the relationship of specific chromatin modifications to transcriptional status throughout the genome and to examine the asymmetric modification of chromatin at heterozygous loci.

  20. Confronting two-pair primer design for enzyme-free SNP genotyping based on a genetic algorithm

    Directory of Open Access Journals (Sweden)

    Chuang Li-Yeh

    2010-10-01

    Full Text Available Abstract Background Polymerase chain reaction with confronting two-pair primers (PCR-CTPP method produces allele-specific DNA bands of different lengths by adding four designed primers and it achieves the single nucleotide polymorphism (SNP genotyping by electrophoresis without further steps. It is a time- and cost-effective SNP genotyping method that has the advantage of simplicity. However, computation of feasible CTPP primers is still challenging. Results In this study, we propose a GA (genetic algorithm-based method to design a feasible CTPP primer set to perform a reliable PCR experiment. The SLC6A4 gene was tested with 288 SNPs for dry dock experiments which indicated that the proposed algorithm provides CTPP primers satisfied most primer constraints. One SNP rs12449783 in the SLC6A4 gene was taken as an example for the genotyping experiments using electrophoresis which validated the GA-based design method as providing reliable CTPP primer sets for SNP genotyping. Conclusions The GA-based CTPP primer design method provides all forms of estimation for the common primer constraints of PCR-CTPP. The GA-CTPP program is implemented in JAVA and a user-friendly input interface is freely available at http://bio.kuas.edu.tw/ga-ctpp/.

  1. Confronting two-pair primer design for enzyme-free SNP genotyping based on a genetic algorithm.

    Science.gov (United States)

    Yang, Cheng-Hong; Cheng, Yu-Huei; Chuang, Li-Yeh; Chang, Hsueh-Wei

    2010-10-13

    Polymerase chain reaction with confronting two-pair primers (PCR-CTPP) method produces allele-specific DNA bands of different lengths by adding four designed primers and it achieves the single nucleotide polymorphism (SNP) genotyping by electrophoresis without further steps. It is a time- and cost-effective SNP genotyping method that has the advantage of simplicity. However, computation of feasible CTPP primers is still challenging. In this study, we propose a GA (genetic algorithm)-based method to design a feasible CTPP primer set to perform a reliable PCR experiment. The SLC6A4 gene was tested with 288 SNPs for dry dock experiments which indicated that the proposed algorithm provides CTPP primers satisfied most primer constraints. One SNP rs12449783 in the SLC6A4 gene was taken as an example for the genotyping experiments using electrophoresis which validated the GA-based design method as providing reliable CTPP primer sets for SNP genotyping. The GA-based CTPP primer design method provides all forms of estimation for the common primer constraints of PCR-CTPP. The GA-CTPP program is implemented in JAVA and a user-friendly input interface is freely available at http://bio.kuas.edu.tw/ga-ctpp/.

  2. 脂联素基因+45多态性与肥胖儿童及青少年非酒精性脂肪性肝病的关系%Association between Adiponectin Gene SNP+45 and Non-alcoholic Fatty Liver Disease in Obese Children and Adolescents

    Institute of Scientific and Technical Information of China (English)

    彭红; 董国庆; 钟丽华

    2015-01-01

    , waist circumferences and hip circumferences were measured for calculation of BMI ,WHR and WHtR, and venous blood samples were collected for test of serum insulin(FINS), glucose(FBG), total cholesterol(TC), triglycerides(TG), high density lipoprotein cholesterol(HDL-C), low density lipoprotein cholesterol (LDL-C), alanine aminotransferase(ALT) and aspartate aminotransferase (AST), which contributed to the calculation of homeostasis model assessment-Insulin resistance (IR=FINS×FBG/22.5). Ultrasonographic examinations were given to the liver and related organs. Serum ADP levels were measured by ELISA, and DNA sequencing after PCR amplification were performed with dideoxy chain termination method. Results Serun ADP level in NAFLD group was 2.79±2.19 mg/L, signiifcantly lower than the healthy control (3.90±2.13 mg/L), it was negatively correlated with BMI, WHtR, TG, FINS and IR values, and IR was the most signiifcant factor that affected serum ADP level. NO significant differences in genotype or allele frequency of ADP gene SNP+45 between NAFLD group and healthy controls(P>0.05). There was no difference of serum ADP, lipid, FBG, FINS and IR, BMI, WC, WHR, WHtR among different genotype of +45 site in children and adolescents with NAFLD(all P >0.05). Conclusions ADP gene SNP+45 may be not associated with occurrence of NAFLD and the metabolic parameters in Chinese simple obesity children and adolescents of Shenzhen.

  3. Power to detect risk alleles using genome-wide tag SNP panels.

    Directory of Open Access Journals (Sweden)

    Michael A Eberle

    2007-10-01

    Full Text Available Advances in high-throughput genotyping and the International HapMap Project have enabled association studies at the whole-genome level. We have constructed whole-genome genotyping panels of over 550,000 (HumanHap550 and 650,000 (HumanHap650Y SNP loci by choosing tag SNPs from all populations genotyped by the International HapMap Project. These panels also contain additional SNP content in regions that have historically been overrepresented in diseases, such as nonsynonymous sites, the MHC region, copy number variant regions and mitochondrial DNA. We estimate that the tag SNP loci in these panels cover the majority of all common variation in the genome as measured by coverage of both all common HapMap SNPs and an independent set of SNPs derived from complete resequencing of genes obtained from SeattleSNPs. We also estimate that, given a sample size of 1,000 cases and 1,000 controls, these panels have the power to detect single disease loci of moderate risk (lambda approximately 1.8-2.0. Relative risks as low as lambda approximately 1.1-1.3 can be detected using 10,000 cases and 10,000 controls depending on the sample population and disease model. If multiple loci are involved, the power increases significantly to detect at least one locus such that relative risks 20%-35% lower can be detected with 80% power if between two and four independent loci are involved. Although our SNP selection was based on HapMap data, which is a subset of all common SNPs, these panels effectively capture the majority of all common variation and provide high power to detect risk alleles that are not represented in the HapMap data.

  4. A high-throughput SNP marker system for parental polymorphism screening, and diversity analysis in common bean (Phaseolus vulgaris L.).

    Science.gov (United States)

    Blair, Matthew W; Cortés, Andrés J; Penmetsa, R Varma; Farmer, Andrew; Carrasquilla-Garcia, Noelia; Cook, Doug R

    2013-02-01

    Single nucleotide polymorphism (SNP) detection has become a marker system of choice, because of the high abundance of source polymorphisms and the ease with which allele calls are automated. Various technologies exist for the evaluation of SNP loci and previously we validated two medium throughput technologies. In this study, our goal was to utilize a 768 feature, Illumina GoldenGate assay for common bean (Phaseolus vulgaris L.) developed from conserved legume gene sequences and to use the new technology for (1) the evaluation of parental polymorphisms in a mini-core set of common bean accessions and (2) the analysis of genetic diversity in the crop. A total of 736 SNPs were scored on 236 diverse common bean genotypes with the GoldenGate array. Missing data and heterozygosity levels were low and 94 % of the SNPs were scorable. With the evaluation of the parental polymorphism genotypes, we estimated the utility of the SNP markers in mapping for inter-genepool and intra-genepool populations, the latter being of lower polymorphism than the former. When we performed the diversity analysis with the diverse genotypes, we found Illumina GoldenGate SNPs to provide equivalent evaluations as previous gene-based SNP markers, but less fine-distinctions than with previous microsatellite marker analysis. We did find, however, that the gene-based SNPs in the GoldenGate array had some utility in race structure analysis despite the low polymorphism. Furthermore the SNPs detected high heterozygosity in wild accessions which was probably a reflection of ascertainment bias. The Illumina SNPs were shown to be effective in distinguishing between the genepools, and therefore were most useful in saturation of inter-genepool genetic maps. The implications of these results for breeding in common bean are discussed as well as the advantages and disadvantages of the GoldenGate system for SNP detection.

  5. Frequency of SNP -336A/G in the promoter region of CD209 in a population from northeastern Brazil.

    Science.gov (United States)

    Costa, P N; Ferreira-Fernandes, H; de Oliveira, J S; Pereira, A C T C; Pinto, G R; Ferreira, G P

    2015-08-14

    Dendritic cells (DCs) mediate the initiation of the immune response against a variety of pathogens. The DC-SIGN receptor is encoded by the gene CD209 and is expressed on the surface of DCs. It binds to mannose-rich carbohydrates and enables the recognition of bacteria, fungi, parasites, and viruses. SNP -336A/G in the promoter region of CD209 influences the expression of the DC-SIGN receptor. Several studies have associated this SNP with an increased susceptibility to infectious diseases and the development of more severe forms of disease. Therefore, the aim of this study was to determine the prevalence of SNP -336A/G in a population from northeastern Brazil. We analyzed 181 individuals from the general population of Parnaíba, Piauí, Brazil, of which 37% were men and 63% were women. SNP -336A/G was detected by polymerase chain reaction and treatment with the restriction enzyme MscI and visualized by electrophoresis on an 8% polyacrylamide gel stained with silver nitrate. Of the individuals analyzed, 116 (64.1%) were homozygous AA, 57 (31.5%) were heterozygous (AG), and 8 (4.4%) were homozygous GG. The allele frequency of -336G was 20.2%. Genotype frequencies were in Hardy-Weinberg equilibrium. To the best of our knowledge, this is the first report to describe the frequency of the CD209 SNP -336A/G in a population in the State of Piauí. Further studies are needed to determine the relationship between this SNP and the vulnerability of this population to major infectious diseases.

  6. Combining fMRI and SNP Data to Investigate Connections Between Brain Function and Genetics Using Parallel ICA

    Science.gov (United States)

    Liu, Jingyu; Pearlson, Godfrey; Windemuth, Andreas; Ruano, Gualberto; Perrone-Bizzozero, Nora I.; Calhoun, Vince

    2009-01-01

    There is current interest in understanding genetic influences on both healthy and disordered brain function. We assessed brain function with functional magnetic resonance imaging (fMRI) data collected during an auditory oddball task—detecting an infrequent sound within a series of frequent sounds. Then, task-related imaging findings were utilized as potential intermediate phenotypes (endophenotypes) to investigate genomic factors derived from a single nucleotide polymorphism (SNP) array. Our target is the linkage of these genomic factors to normal/abnormal brain functionality. We explored parallel independent component analysis (paraICA) as a new method for analyzing multimodal data. The method was aimed to identify simultaneously independent components of each modality and the relationships between them. When 43 healthy controls and 20 schizophrenia patients, all Caucasian, were studied, we found a correlation of 0.38 between one fMRI component and one SNP component. This fMRI component consisted mainly of parietal lobe activations. The relevant SNP component was contributed to significantly by 10 SNPs located in genes, including those coding for the nicotinic α-7cholinergic receptor, aromatic amino acid decarboxylase, disrupted in schizophrenia 1, among others. Both fMRI and SNP components showed significant differences in loading parameters between the schizophrenia and control groups (P = 0.0006 for the fMRI component; P = 0.001 for the SNP component). In summary, we constructed a framework to identify interactions between brain functional and genetic information; our findings provide a proof-of-concept that genomic SNP factors can be investigated by using endophenotypic imaging findings in a multivariate format. PMID:18072279

  7. Comparative linkage analysis and visualization of high-density oligonucleotide SNP array data

    Directory of Open Access Journals (Sweden)

    Smith Richard JH

    2005-02-01

    Full Text Available Abstract Background The identification of disease-associated genes using single nucleotide polymorphisms (SNPs has been increasingly reported. In particular, the Affymetrix Mapping 10 K SNP microarray platform uses one PCR primer to amplify the DNA samples and determine the genotype of more than 10,000 SNPs in the human genome. This provides the opportunity for large scale, rapid and cost-effective genotyping assays for linkage analysis. However, the analysis of such datasets is nontrivial because of the large number of markers, and visualizing the linkage scores in the context of genome maps remains less automated using the current linkage analysis software packages. For example, the haplotyping results are commonly represented in the text format. Results Here we report the development of a novel software tool called CompareLinkage for automated formatting of the Affymetrix Mapping 10 K genotype data into the "Linkage" format and the subsequent analysis with multi-point linkage software programs such as Merlin and Allegro. The new software has the ability to visualize the results for all these programs in dChip in the context of genome annotations and cytoband information. In addition we implemented a variant of the Lander-Green algorithm in the dChipLinkage module of dChip software (V1.3 to perform parametric linkage analysis and haplotyping of SNP array data. These functions are integrated with the existing modules of dChip to visualize SNP genotype data together with LOD score curves. We have analyzed three families with recessive and dominant diseases using the new software programs and the comparison results are presented and discussed. Conclusions The CompareLinkage and dChipLinkage software packages are freely available. They provide the visualization tools for high-density oligonucleotide SNP array data, as well as the automated functions for formatting SNP array data for the linkage analysis programs Merlin and Allegro and calling

  8. Role of an SNP in Alternative Splicing of Bovine NCF4 and Mastitis Susceptibility.

    Science.gov (United States)

    Ju, Zhihua; Wang, Changfa; Wang, Xiuge; Yang, Chunhong; Sun, Yan; Jiang, Qiang; Wang, Fei; Li, Mengjiao; Zhong, Jifeng; Huang, Jinming

    2015-01-01

    Neutrophil cytosolic factor 4 (NCF4) is component of the nicotinamide dinucleotide phosphate oxidase complex, a key factor in biochemical pathways and innate immune responses. In this study, splice variants and functional single-nucleotide polymorphism (SNP) of NCF4 were identified to determine the variability and association of the gene with susceptibility to bovine mastitis characterized by inflammation. A novel splice variant, designated as NCF4-TV and characterized by the retention of a 48 bp sequence in intron 9, was detected in the mammary gland tissues of infected cows. The expression of the NCF4-reference main transcript in the mastitic mammary tissues was higher than that in normal tissues. A novel SNP, g.18174 A>G, was also found in the retained 48 bp region of intron 9. To determine whether NCF4-TV could be due to the g.18174 A>G mutation, we constructed two mini-gene expression vectors with the wild-type or mutant NCF4 g.18174 A>G fragment. The vectors were then transiently transfected into 293T cells, and alternative splicing of NCF4 was analyzed by reverse transcription-PCR and sequencing. Mini-gene splicing assay demonstrated that the aberrantly spliced NCF4-TV with 48 bp retained fragment in intron 9 could be due to g.18174 A>G, which was associated with milk somatic count score and increased risk of mastitis infection in cows. NCF4 expression was also regulated by alternative splicing. This study proposes that NCF4 splice variants generated by functional SNP are important risk factors for mastitis susceptibility in dairy cows.

  9. Genomic variation in myeloma: design, content, and initial application of the Bank On A Cure SNP Panel to detect associations with progression-free survival

    Directory of Open Access Journals (Sweden)

    Fang Gang

    2008-09-01

    Full Text Available Abstract Background We have engaged in an international program designated the Bank On A Cure, which has established DNA banks from multiple cooperative and institutional clinical trials, and a platform for examining the association of genetic variations with disease risk and outcomes in multiple myeloma. We describe the development and content of a novel custom SNP panel that contains 3404 SNPs in 983 genes, representing cellular functions and pathways that may influence disease severity at diagnosis, toxicity, progression or other treatment outcomes. A systematic search of national databases was used to identify non-synonymous coding SNPs and SNPs within transcriptional regulatory regions. To explore SNP associations with PFS we compared SNP profiles of short term (less than 1 year, n = 70 versus long term progression-free survivors (greater than 3 years, n = 73 in two phase III clinical trials. Results Quality controls were established, demonstrating an accurate and robust screening panel for genetic variations, and some initial racial comparisons of allelic variation were done. A variety of analytical approaches, including machine learning tools for data mining and recursive partitioning analyses, demonstrated predictive value of the SNP panel in survival. While the entire SNP panel showed genotype predictive association with PFS, some SNP subsets were identified within drug response, cellular signaling and cell cycle genes. Conclusion A targeted gene approach was undertaken to develop an SNP panel that can test for associations with clinical outcomes in myeloma. The initial analysis provided some predictive power, demonstrating that genetic variations in the myeloma patient population may influence PFS.

  10. Association between SNP C958G in Hypoxia-inducible Factor Gene and Aerobic Capacity%低氧诱导因子-1a基因C958G单核苷酸多态性与有氧运动能力关联性研究

    Institute of Scientific and Technical Information of China (English)

    刘海平; 胡扬; 汪洪波

    2008-01-01

    目的:选取HIF-1a基因第7内含子上的C958G单核苷酸多态(SNP/C958G)解析,并与有氧耐力训练后生理表型指标进行关联性研究,探讨该多态位点作为预测有氧耐力训练效果的分子遗传学标记的可行性.方法:实验对象为102名中国北方士兵.受试者进行18周有氧耐力训练,测试有氧耐力训练前后血红蛋白(Hb)、最大耗氧量(VO2max)及通气无氧阈(VO2 VT)等指标,应用PCR~RFLP解析HIF-1a基因SNP/C958G的基因型,采用关联(Association-Study)研究方法,研究18周有氧耐力训练前Hb、VO2m3ax及VO2 VT等指标变化量与HIF-1a基因SNP/C958G关联性.结果:HIF-1a基因SNP/C958G基因型在士兵中分布频率经卡方检验[X2(df=2)=0.20,P>0.05]符合HaMy-Wcinberg平衡.SNP/C958G的GG基因型受试者18周有氧耐力训练后Hb、VO2 max、VT/VO2分别提高了5%、5%、4%,同时,GG基因型与CC、CG基因型受试者有氧耐力训练后Hb、VO2max、VT/VO2的变化量相比明显增加(P<0.05).结论:HIF-1a基因SNP/C958G多态性GG基因型可作为预测有氧耐力训后Hb、VO2 Max、VT/VO2敏感性变化的分子遗传学标记.

  11. miRNA-mediated relationships between Cis-SNP genotypes and transcript intensities in lymphocyte cell lines.

    Directory of Open Access Journals (Sweden)

    Wensheng Zhang

    Full Text Available In metazoans, miRNAs regulate gene expression primarily through binding to target sites in the 3' UTRs (untranslated regions of messenger RNAs (mRNAs. Cis-acting variants within, or close to, a gene are crucial in explaining the variability of gene expression measures. Single nucleotide polymorphisms (SNPs in the 3' UTRs of genes can affect the base-pairing between miRNAs and mRNAs, and hence disrupt existing target sites (in the reference sequence or create novel target sites, suggesting a possible mechanism for cis regulation of gene expression. Moreover, because the alleles of different SNPs within a DNA sequence of limited length tend to be in strong linkage disequilibrium (LD, we hypothesize the variants of miRNA target sites caused by SNPs potentially function as bridges linking the documented cis-SNP markers to the expression of the associated genes. A large-scale analysis was herein performed to test this hypothesis. By systematically integrating multiple latest information sources, we found 21 significant gene-level SNP-involved miRNA-mediated post-transcriptional regulation modules (SNP-MPRMs in the form of SNP-miRNA-mRNA triplets in lymphocyte cell lines for the CEU and YRI populations. Among the cognate genes, six including ALG8, DGKE, GNA12, KLF11, LRPAP1, and MMAB are related to multiple genetic diseases such as depressive disorder and Type-II diabetes. Furthermore, we found that ~35% of the documented transcript intensity-related cis-SNPs (~950 in a recent publication are identical to, or in significant linkage disequilibrium (LD (p<0.01 with, one or multiple SNPs located in miRNA target sites. Based on these associations (or identities, 69 significant exon-level SNP-MPRMs and 12 disease genes were further determined for two populations. These results provide concrete in silico evidence for the proposed hypothesis. The discovered modules warrant additional follow-up in independent laboratory studies.

  12. Outlier SNP markers reveal fine-scale genetic structuring across European hake populations (Merluccius merluccius)

    DEFF Research Database (Denmark)

    Milano, I.; Babbucci, M.; Cariani, A.;

    2014-01-01

    of integrating information from neutral and adaptive evolutionary patterns towards a better assessment of genetic diversity. Accordingly, the generated outlier SNP data could be used for tackling illegal practices in hake fishing and commercialization as well as to develop explicit spatial models for defining......Shallow population structure is generally reported for most marine fish and explained as a consequence of high dispersal, connectivity and large population size. Targeted gene analyses and more recently genome-wide studies have challenged such view, suggesting that adaptive divergence might occur...

  13. Cancer bioinformatics: detection of chromatin states,SNP-containing motifs, and functional enrichment modules

    Institute of Scientific and Technical Information of China (English)

    Xiaobo Zhou

    2013-01-01

    In this editorial preface,I briefly review cancer bioinformatics and introduce the four articles in this special issue highlighting important applications of the field:detection of chromatin states; detection of SNP-containing motifs and association with transcription factor-binding sites; improvements in functional enrichment modules; and gene association studies on aging and cancer.We expect this issue to provide bioinformatics scientists,cancer biologists,and clinical doctors with a better understanding of how cancer bioinformatics can be used to identify candidate biomarkers and targets and to conduct functional analysis.

  14. CLUSTAG & WCLUSTAG: Hierarchical Clustering Algorithms for Efficient Tag-SNP Selection

    Science.gov (United States)

    Ao, Sio-Iong

    More than 6 million single nucleotide polymorphisms (SNPs) in the human genome have been genotyped by the HapMap project. Although only a pro portion of these SNPs are functional, all can be considered as candidate markers for indirect association studies to detect disease-related genetic variants. The complete screening of a gene or a chromosomal region is nevertheless an expensive undertak ing for association studies. A key strategy for improving the efficiency of association studies is to select a subset of informative SNPs, called tag SNPs, for analysis. In the chapter, hierarchical clustering algorithms have been proposed for efficient tag SNP selection.

  15. Genetic algorithm-generated SNP barcodes of the mitochondrial D-loop for chronic dialysis susceptibility.

    Science.gov (United States)

    Chen, Jin-Bor; Chuang, Li-Yeh; Lin, Yu-Da; Liou, Chia-Wei; Lin, Tsu-Kung; Lee, Wen-Chin; Cheng, Ben-Chung; Chang, Hsueh-Wei; Yang, Cheng-Hong

    2014-06-01

    Single nucleotide polymorphism (SNP) interaction analysis can simultaneously evaluate the complex SNP interactions present in complex diseases. However, it is less commonly applied to evaluate the predisposition of chronic dialysis and its computational analysis remains challenging. In this study, we aimed to improve the analysis of SNP-SNP interactions within the mitochondrial D-loop in chronic dialysis. The SNP-SNP interactions between 77 reported SNPs within the mitochondrial D-loop in chronic dialysis study were evaluated in terms of SNP barcodes (different SNP combinations with their corresponding genotypes). We propose a genetic algorithm (GA) to generate SNP barcodes. The χ(2) values were then calculated by the occurrences of the specific SNP barcodes and their non-specific combinations between cases and controls. Each SNP barcode (2- to 7-SNP) with the highest value in the χ(2) test was regarded as the best SNP barcode (11.304 to 23.310; p algorithm to address the SNP-SNP interactions and demonstrated that many non-significant SNPs within the mitochondrial D-loop may play a role in jointed effects to chronic dialysis susceptibility.

  16. Association of selected SNP with carcass and taste panel assessed meat quality traits in a commercial population of Aberdeen Angus-sired beef cattle

    Directory of Open Access Journals (Sweden)

    Williams John L

    2009-06-01

    Full Text Available Abstract Background The purpose of this study was to evaluate the effects of eight single nucleotide polymorphisms (SNP, previously associated with meat and milk quality traits in cattle, in a population of 443 commercial Aberdeen Angus-cross beef cattle. The eight SNP, which were located within five genes: μ-calpain (CAPN1, calpastatin (CAST, leptin (LEP, growth hormone receptor (GHR and acylCoA:diacylglycerol acyltransferase 1 (DGAT1, are included in various commercial tests for tenderness, fatness, carcass composition and milk yield/quality. Methods A total of 27 traits were examined, 19 relating to carcass quality, such as carcass weight and fatness, one mechanical measure of tenderness, and the remaining seven were sensory traits, such as flavour and tenderness, assessed by a taste panel. Results An SNP in the CAPN1 gene, CAPN316, was significantly associated with tenderness measured by both the tenderometer and the taste panel as well as the weight of the hindquarter, where animals inheriting the CC genotype had more tender meat and heavier hindquarters. An SNP in the leptin gene, UASMS2, significantly affected overall liking, where animals with the TT genotype were assigned higher scores by the panellists. The SNP in the GHR gene was significantly associated with odour, where animals inheriting the AA genotype produced steaks with an intense odour when compared with the other genotypes. Finally, the SNP in the DGAT1 gene was associated with sirloin weight after maturation and fat depth surrounding the sirloin, with animals inheriting the AA genotype having heavier sirloins and more fat. Conclusion The results of this study confirm some previously documented associations. Furthermore, novel associations have been identified which, following validation in other populations, could be incorporated into breeding programmes to improve meat quality.

  17. Association of the calpain-10 gene with type 2 diabetes in Europeans

    DEFF Research Database (Denmark)

    Tsuchiya, Takafumi; Schwarz, Peter E H; Bosque-Plata, Laura Del

    2006-01-01

    We conducted pooled and meta-analyses of the association of the calpain-10 gene (CAPN10) polymorphisms SNP-43, Indel-19 and SNP-63 individually and as haplotypes with type 2 diabetes (T2D) in 3237 patients and 2935 controls of European ancestry. In the pooled analyses, the common SNP-43*G allele ...

  18. Analysis of the influence of PTPN22 gene polymorphisms in systemic sclerosis

    NARCIS (Netherlands)

    Diaz-Gallo, L.M.; Gourh, P.; Broen, J.; Simeon, C.; Fonollosa, V.; Ortego-Centeno, N.; Agarwal, S.; Vonk, M.C.; Coenen, M.J.H.; Riemekasten, G.; Hunzelmann, N.; Hesselstrand, R.; Tan, F.K.; Reveille, J.D.; Assassi, S.; Garcia-Hernandez, F.J.; Carreira, P.; Camps, M.T.; Fernandez-Nebro, A.; Pena, P.G. de la; Nearney, T.; Hilda, D.; Gonzalez-Gay, M.A.; Airo, P.; Beretta, L.; Scorza, R.; Herrick, A.; Worthington, J.; Pros, A.; Gomez-Gracia, I.; Trapiella, L.; Espinosa, G.; Castellvi, I.; Witte, T.J.M. de; Keyser, F. de; Vanthuyne, M.; Mayes, M.D.; Radstake, T.R.D.J.; Arnett, F.C.; Martin, J.; Rueda, B.

    2011-01-01

    OBJECTIVE: Two functional single nucleotide polymorphisms (SNP) in the PTPN22 gene (rs24746601 and rs33996649) have been associated with autoimmunity. The aim of this study was to investigate the role of the R263Q SNP for the first time and to re-evaluate the role of the R620W SNP in the genetic

  19. A High-Density Consensus Map of Common Wheat Integrating Four Mapping Populations Scanned by the 90K SNP Array

    Science.gov (United States)

    Wen, Weie; He, Zhonghu; Gao, Fengmei; Liu, Jindong; Jin, Hui; Zhai, Shengnan; Qu, Yanying; Xia, Xianchun

    2017-01-01

    A high-density consensus map is a powerful tool for gene mapping, cloning and molecular marker-assisted selection in wheat breeding. The objective of this study was to construct a high-density, single nucleotide polymorphism (SNP)-based consensus map of common wheat (Triticum aestivum L.) by integrating genetic maps from four recombinant inbred line populations. The populations were each genotyped using the wheat 90K Infinium iSelect SNP assay. A total of 29,692 SNP markers were mapped on 21 linkage groups corresponding to 21 hexaploid wheat chromosomes, covering 2,906.86 cM, with an overall marker density of 10.21 markers/cM. Compared with the previous maps based on the wheat 90K SNP chip detected 22,736 (76.6%) of the SNPs with consistent chromosomal locations, whereas 1,974 (6.7%) showed different chromosomal locations, and 4,982 (16.8%) were newly mapped. Alignment of the present consensus map and the wheat expressed sequence tags (ESTs) Chromosome Bin Map enabled assignment of 1,221 SNP markers to specific chromosome bins and 819 ESTs were integrated into the consensus map. The marker orders of the consensus map were validated based on physical positions on the wheat genome with Spearman rank correlation coefficients ranging from 0.69 (4D) to 0.97 (1A, 4B, 5B, and 6A), and were also confirmed by comparison with genetic position on the previously 40K SNP consensus map with Spearman rank correlation coefficients ranging from 0.84 (6D) to 0.99 (6A). Chromosomal rearrangements reported previously were confirmed in the present consensus map and new putative rearrangements were identified. In addition, an integrated consensus map was developed through the combination of five published maps with ours, containing 52,607 molecular markers. The consensus map described here provided a high-density SNP marker map and a reliable order of SNPs, representing a step forward in mapping and validation of chromosomal locations of SNPs on the wheat 90K array. Moreover, it can be

  20. Genome-wide copy number profiling using high-density SNP array in chickens.

    Science.gov (United States)

    Yi, G; Qu, L; Chen, S; Xu, G; Yang, N

    2015-04-01

    Phenotypic diversity is a direct consequence resulting mainly from the impact of underlying genetic variation, and recent studies have shown that copy number variation (CNV) is emerging as an important contributor to both phenotypic variability and disease susceptibility. Herein, we performed a genome-wide CNV scan in 96 chickens from 12 diversified breeds, benefiting from the high-density Affymetrix 600 K SNP arrays. We identified a total of 231 autosomal CNV regions (CNVRs) encompassing 5.41 Mb of the chicken genome and corresponding to 0.59% of the autosomal sequence. The length of these CNVRs ranged from 2.6 to 586.2 kb with an average of 23.4 kb, including 130 gain, 93 loss and eight both gain and loss events. These CNVRs, especially deletions, had lower GC content and were located particularly in gene deserts. In particular, 102 CNVRs harbored 128 chicken genes, most of which were enriched in immune responses. We obtained 221 autosomal CNVRs after converting probe coordinates to Galgal3, and comparative analysis with previous studies illustrated that 153 of these CNVRs were regarded as novel events. Furthermore, qPCR assays were designed for 11 novel CNVRs, and eight (72.73%) were validated successfully. In this study, we demonstrated that the high-density 600 K SNP array can capture CNVs with higher efficiency and accuracy and highlighted the necessity of integrating multiple technologies and algorithms. Our findings provide a pioneering exploration of chicken CNVs based on a high-density SNP array, which contributes to a more comprehensive understanding of genetic variation in the chicken genome and is beneficial to unearthing potential CNVs underlying important traits of chickens. © 2015 Stichting International Foundation for Animal Genetics.

  1. Ascertainment biases in SNP chips affect measures of population divergence

    DEFF Research Database (Denmark)

    Albrechtsen, Anders; Nielsen, Finn Cilius; Nielsen, Rasmus

    2010-01-01

    Chip-based high-throughput genotyping has facilitated genome-wide studies of genetic diversity. Many studies have utilized these large data sets to make inferences about the demographic history of human populations using measures of genetic differentiation such as F(ST) or principal component...... analyses. However, the single nucleotide polymorphism (SNP) chip data suffer from ascertainment biases caused by the SNP discovery process in which a small number of individuals from selected populations are used as discovery panels. In this study, we investigate the effect of the ascertainment bias...... on inferences regarding genetic differentiation among populations in one of the common genome-wide genotyping platforms. We generate SNP genotyping data for individuals that previously have been subject to partial genome-wide Sanger sequencing and compare inferences based on genotyping data to inferences based...

  2. Genomic Position Mapping Discrepancies of Commercial SNP Chips

    DEFF Research Database (Denmark)

    Fadista, João; Bendixen, Christian

    2012-01-01

    The field of genetics has come to rely heavily on commercial genotyping arrays and accompanying annotations for insights into genotype-phenotype associations. However, in order to avoid errors and false leads, it is imperative that the annotation of SNP chromosomal positions is accurate and unamb......The field of genetics has come to rely heavily on commercial genotyping arrays and accompanying annotations for insights into genotype-phenotype associations. However, in order to avoid errors and false leads, it is imperative that the annotation of SNP chromosomal positions is accurate...... and unambiguous. We report on genomic positional discrepancies of various SNP chips for human, cattle and mouse species, and discuss their causes and consequences....

  3. Forensic SNP Genotyping using Nanopore MinION Sequencing

    Science.gov (United States)

    Cornelis, Senne; Gansemans, Yannick; Deleye, Lieselot; Deforce, Dieter; Van Nieuwerburgh, Filip

    2017-01-01

    One of the latest developments in next generation sequencing is the Oxford Nanopore Technologies’ (ONT) MinION nanopore sequencer. We studied the applicability of this system to perform forensic genotyping of the forensic female DNA standard 9947 A using the 52 SNP-plex assay developed by the SNPforID consortium. All but one of the loci were correctly genotyped. Several SNP loci were identified as problematic for correct and robust genotyping using nanopore sequencing. All these loci contained homopolymers in the sequence flanking the forensic SNP and most of them were already reported as problematic in studies using other sequencing technologies. When these problematic loci are avoided, correct forensic genotyping using nanopore sequencing is technically feasible. PMID:28155888

  4. A gene-gene interaction between polymorphisms in the OCT2 and MATE1 genes influences the renal clearance of metformin

    DEFF Research Database (Denmark)

    Hougaard Christensen, Mette Marie; Pedersen, Rasmus Steen; Stage, Tore Bjerregaard;

    2013-01-01

    The aim of this study was to determine the association between the renal clearance (CL(renal)) of metformin in healthy Caucasian volunteers and the single-nucleotide polymorphism (SNP) c.808G>T (rs316019) in OCT2 as well as the relevance of the gene-gene interactions between this SNP and (a...

  5. snpTree--a web-server to identify and construct SNP trees from whole genome sequence data.

    Science.gov (United States)

    Leekitcharoenphon, Pimlapas; Kaas, Rolf S; Thomsen, Martin Christen Frølund; Friis, Carsten; Rasmussen, Simon; Aarestrup, Frank M

    2012-01-01

    The advances and decreasing economical cost of whole genome sequencing (WGS), will soon make this technology available for routine infectious disease epidemiology. In epidemiological studies, outbreak isolates have very little diversity and require extensive genomic analysis to differentiate and classify isolates. One of the successfully and broadly used methods is analysis of single nucletide polymorphisms (SNPs). Currently, there are different tools and methods to identify SNPs including various options and cut-off values. Furthermore, all current methods require bioinformatic skills. Thus, we lack a standard and simple automatic tool to determine SNPs and construct phylogenetic tree from WGS data. Here we introduce snpTree, a server for online-automatic SNPs analysis. This tool is composed of different SNPs analysis suites, perl and python scripts. snpTree can identify SNPs and construct phylogenetic trees from WGS as well as from assembled genomes or contigs. WGS data in fastq format are aligned to reference genomes by BWA while contigs in fasta format are processed by Nucmer. SNPs are concatenated based on position on reference genome and a tree is constructed from concatenated SNPs using FastTree and a perl script. The online server was implemented by HTML, Java and python script.The server was evaluated using four published bacterial WGS data sets (V. cholerae, S. aureus CC398, S. Typhimurium and M. tuberculosis). The evaluation results for the first three cases was consistent and concordant for both raw reads and assembled genomes. In the latter case the original publication involved extensive filtering of SNPs, which could not be repeated using snpTree. The snpTree server is an easy to use option for rapid standardised and automatic SNP analysis in epidemiological studies also for users with limited bioinformatic experience. The web server is freely accessible at http://www.cbs.dtu.dk/services/snpTree-1.0/.

  6. Site controlled transgenic mice validating increased expression from human matrix metalloproteinase (MMP-1) promoter due to a naturally occurring SNP.

    Science.gov (United States)

    Coon, Charles I; Fiering, Steven; Gaudet, Justin; Wyatt, Colby A; Brinckerhoff, Constance E

    2009-09-01

    Matrix metalloproteinases (MMPs) comprise a family of more than 20 members, each with the ability to degrade components of the extracellular matrix. The interstitial collagenases have the unique capacity to degrade the stromal collagens, types I, II and III, the body's most abundant proteins. These collagenases include MMP-1, MMP-8, MMP-13 and MMP-14. MMP-1, with a very broad expression pattern, has major roles in mediating matrix destruction in many diseases. We have described a single nucleotide polymorphism (SNP) in the MMP-1 promoter that augments transcription. This SNP is the presence or absence of an extra guanine (G) at -1607 bp, which creates the sequence 5'-GGAA-3'(2G allele), and which is an ETS binding site. Compared to the 1G allele (5'-GAA-3'), the 2G SNP is associated with enhanced transcription of MMP-1 and increased enzymatic activity. Although murine systems are often used to model human diseases, mice have only distant homologues of human MMP-1. Therefore, we used a technique for the targeted insertion of a single copy of a gene at the HPRT locus to compare expression of the 1G and 2G alleles. We generated transgenic mice with -4372 bp of the human MMP-1 promoter containing either the 1G or 2G SNP in front of the lac Z (E.coli ss-galactosidase) gene. We measured the relative expression of the transgenes in vitro in embryonic stem (ES) cells and in fibroblasts derived from embryonic mice. Our data show modest constitutive expression of ss-galactosidase mRNA and protein from these alleles, with the 2G allele more transcriptionally active than the 1G allele. We conclude that these mice represent a model for integration of a single copy of the human MMP-1 promoter into the murine genome, and could be used to study MMP-1 gene expression in a murine system.

  7. SNP typing on the NanoChip electronic microarray

    DEFF Research Database (Denmark)

    Børsting, Claus; Sanchez Sanchez, Juan Jose; Morling, Niels

    2005-01-01

    We describe a single nucleotide polymorphism (SNP) typing protocol developed for the NanoChip electronic microarray. The NanoChip array consists of 100 electrodes covered by a thin hydrogel layer containing streptavidin. An electric currency can be applied to one, several, or all electrodes...

  8. Drop-out probabilities of IrisPlex SNP alleles

    DEFF Research Database (Denmark)

    Andersen, Jeppe Dyrberg; Tvedebrink, Torben; Mogensen, Helle Smidt

    2013-01-01

    -out of true alleles is possible. As part of the validation of the IrisPlex assay in our ISO17025 accredited, forensic genetic laboratory, we estimated the probability of drop-out of specific SNP alleles using 29 and 30 PCR cycles and 25, 50 and 100 Single Base Extension (SBE) cycles. We observed no drop...

  9. Major copy proportion analysis of tumor samples using SNP arrays

    Directory of Open Access Journals (Sweden)

    Li Cheng

    2008-04-01

    Full Text Available Abstract Background Single nucleotide polymorphisms (SNPs are the most common genetic variations in the human genome and are useful as genomic markers. Oligonucleotide SNP microarrays have been developed for high-throughput genotyping of up to 900,000 human SNPs and have been used widely in linkage and cancer genomics studies. We have previously used Hidden Markov Models (HMM to analyze SNP array data for inferring copy numbers and loss-of-heterozygosity (LOH from paired normal and tumor samples and unpaired tumor samples. Results We proposed and implemented major copy proportion (MCP analysis of oligonucleotide SNP array data. A HMM was constructed to infer unobserved MCP states from observed allele-specific signals through emission and transition distributions. We used 10 K, 100 K and 250 K SNP array datasets to compare MCP analysis with LOH and copy number analysis, and showed that MCP performs better than LOH analysis for allelic-imbalanced chromosome regions and normal contaminated samples. The major and minor copy alleles can also be inferred from allelic-imbalanced regions by MCP analysis. Conclusion MCP extends tumor LOH analysis to allelic imbalance analysis and supplies complementary information to total copy numbers. MCP analysis of mixing normal and tumor samples suggests the utility of MCP analysis of normal-contaminated tumor samples. The described analysis and visualization methods are readily available in the user-friendly dChip software.

  10. Phenylethynylpyrene excimer forming hybridization probes for fluorescence SNP detection

    DEFF Research Database (Denmark)

    Prokhorenko, Igor A.; Astakhova, Irina V.; Momynaliev, Kuvat T.

    2009-01-01

    Excimer formation is a unique feature of some fluorescent dyes (e.g., pyrene) which can be used for probing the proximity of biomolecules. Pyrene excimer fluorescence has previously been used for homogeneous detection of single nucleotide polymorphism (SNP) on DNA. 1-Phenylethynylpyrene (1-1-PEPy...

  11. Genomewide high-density SNP linkage analysis of non-BRCA1/2 breast cancer families identifies various candidate regions and has greater power than microsatellite studies

    Directory of Open Access Journals (Sweden)

    Gonzalez-Neira Anna

    2007-08-01

    Full Text Available Abstract Background The recent development of new high-throughput technologies for SNP genotyping has opened the possibility of taking a genome-wide linkage approach to the search for new candidate genes involved in heredity diseases. The two major breast cancer susceptibility genes BRCA1 and BRCA2 are involved in 30% of hereditary breast cancer cases, but the discovery of additional breast cancer predisposition genes for the non-BRCA1/2 breast cancer families has so far been unsuccessful. Results In order to evaluate the power improvement provided by using SNP markers in a real situation, we have performed a whole genome screen of 19 non-BRCA1/2 breast cancer families using 4720 genomewide SNPs with Illumina technology (Illumina's Linkage III Panel, with an average distance of 615 Kb/SNP. We identified six regions on chromosomes 2, 3, 4, 7, 11 and 14 as candidates to contain genes involved in breast cancer susceptibility, and additional fine mapping genotyping using microsatellite markers around linkage peaks confirmed five of them, excluding the region on chromosome 3. These results were consistent in analyses that excluded SNPs in high linkage disequilibrium. The results were compared with those obtained previously using a 10 cM microsatellite scan (STR-GWS and we found lower or not significant linkage signals with STR-GWS data compared to SNP data in all cases. Conclusion Our results show the power increase that SNPs can supply in linkage studies.

  12. Mutations of C-reactive protein (CRP -286 SNP, APC and p53 in colorectal cancer: implication for a CRP-Wnt crosstalk.

    Directory of Open Access Journals (Sweden)

    Hai-Xiang Su

    Full Text Available C-reactive protein (CRP is an established marker of inflammation with pattern-recognition receptor-like activities. Despite the close association of the serum level of CRP with the risk and prognosis of several types of cancer, it remains elusive whether CRP contributes directly to tumorigenesis or just represents a bystander marker. We have recently identified recurrent mutations at the SNP position -286 (rs3091244 in the promoter of CRP gene in several tumor types, instead suggesting that locally produced CRP is a potential driver of tumorigenesis. However, it is unknown whether the -286 site is the sole SNP position of CRP gene targeted for mutation and whether there is any association between CRP SNP mutations and other frequently mutated genes in tumors. Herein, we have examined the genotypes of three common CRP non-coding SNPs (rs7553007, rs1205, rs3093077 in tumor/normal sample pairs of 5 cancer types (n = 141. No recurrent somatic mutations are found at these SNP positions, indicating that the -286 SNP mutations are preferentially selected during the development of cancer. Further analysis reveals that the -286 SNP mutations of CRP tend to co-occur with mutated APC particularly in rectal cancer (p = 0.04; n = 67. By contrast, mutations of CRP and p53 or K-ras appear to be unrelated. There results thus underscore the functional importance of the -286 mutation of CRP in tumorigenesis and imply an interaction between CRP and Wnt signaling pathway.

  13. Poor reproducibility of allergic rhinitis SNP associations.

    Directory of Open Access Journals (Sweden)

    Daniel Nilsson

    Full Text Available Replication of reported associations is crucial to the investigation of complex disease. More than 100 SNPs have previously been reported as associated with allergic rhinitis (AR, but few of these have been replicated successfully. To investigate the general reproducibility of reported AR-associations in candidate gene studies, one Swedish (352 AR-cases, 709 controls and one Singapore Chinese population (948 AR-cases, 580 controls were analyzed using 49 AR-associated SNPs. The overall pattern of P-values indicated that very few of the investigated SNPs were associated with AR. Given published odds ratios (ORs most SNPs showed high power to detect an association, but no correlations were found between the ORs of the two study populations or with published ORs. None of the association signals were in common to the two genome-wide association studies published in AR, indicating that the associations represent false positives or have much lower effect-sizes than reported.

  14. SNP-based pathway enrichment analysis for genome-wide association studies

    Directory of Open Access Journals (Sweden)

    Potkin Steven G

    2011-04-01

    Full Text Available Abstract Background Recently we have witnessed a surge of interest in using genome-wide association studies (GWAS to discover the genetic basis of complex diseases. Many genetic variations, mostly in the form of single nucleotide polymorphisms (SNPs, have been identified in a wide spectrum of diseases, including diabetes, cancer, and psychiatric diseases. A common theme arising from these studies is that the genetic variations discovered by GWAS can only explain a small fraction of the genetic risks associated with the complex diseases. New strategies and statistical approaches are needed to address this lack of explanation. One such approach is the pathway analysis, which considers the genetic variations underlying a biological pathway, rather than separately as in the traditional GWAS studies. A critical challenge in the pathway analysis is how to combine evidences of association over multiple SNPs within a gene and multiple genes within a pathway. Most current methods choose the most significant SNP from each gene as a representative, ignoring the joint action of multiple SNPs within a gene. This approach leads to preferential identification of genes with a greater number of SNPs. Results We describe a SNP-based pathway enrichment method for GWAS studies. The method consists of the following two main steps: 1 for a given pathway, using an adaptive truncated product statistic to identify all representative (potentially more than one SNPs of each gene, calculating the average number of representative SNPs for the genes, then re-selecting the representative SNPs of genes in the pathway based on this number; and 2 ranking all selected SNPs by the significance of their statistical association with a trait of interest, and testing if the set of SNPs from a particular pathway is significantly enriched with high ranks using a weighted Kolmogorov-Smirnov test. We applied our method to two large genetically distinct GWAS data sets of schizophrenia, one

  15. To cheat or not to cheat: Tryptophan hydroxylase 2 SNP variants contribute to dishonest behavior

    Directory of Open Access Journals (Sweden)

    Qiang eShen

    2016-05-01

    Full Text Available Although lying (bear false witness is explicitly prohibited in the Decalogue and a focus of interest in philosophy and theology, more recently the behavioral and neural mechanisms of deception are gaining increasing attention from diverse fields especially economics, psychology and neuroscience. Despite the considerable role of heredity in explaining individual differences in deceptive behavior, few studies have investigated which specific genes contribute to the heterogeneity of lying behavior across individuals. Also, little is known concerning which specific neurotransmitter pathways underlie deception. Towards addressing these two key questions, we implemented a neurogenetic strategy and modeled deception by an incentivized die-under-cup task in a laboratory setting. The results of this exploratory study provide provisional evidence that SNP variants across the tryptophan hydroxylase 2 (TPH2 gene, that encodes the rate-limiting enzyme in the biosynthesis of brain serotonin, contribute to individual differences in deceptive behavior.

  16. Solar Radiation-Associated Adaptive SNP Genetic Differentiation in Wild Emmer Wheat, Triticum dicoccoides

    Science.gov (United States)

    Ren, Jing; Chen, Liang; Jin, Xiaoli; Zhang, Miaomiao; You, Frank M.; Wang, Jirui; Frenkel, Vladimir; Yin, Xuegui; Nevo, Eviatar; Sun, Dongfa; Luo, Ming-Cheng; Peng, Junhua

    2017-01-01

    Whole-genome scans with large number of genetic markers provide the opportunity to investigate local adaptation in natural populations and identify candidate genes under positive selection. In the present study, adaptation genetic differentiation associated with solar radiation was investigated using 695 polymorphic SNP markers in wild emmer wheat originated in a micro-site at Yehudiyya, Israel. The test involved two solar radiation niches: (1) sun, in-between trees; and (2) shade, under tree canopy, separated apart by a distance of 2–4 m. Analysis of molecular variance showed a small (0.53%) but significant portion of overall variation between the sun and shade micro-niches, indicating a non-ignorable genetic differentiation between sun and shade habitats. Fifty SNP markers showed a medium (0.05 ≤ FST ≤ 0.15) or high genetic differentiation (FST > 0.15). A total of 21 outlier loci under positive selection were identified by using four different FST-outlier testing algorithms. The markers and genome locations under positive selection are consistent with the known patterns of selection. These results suggested that genetic differentiation between sun and shade habitats is substantial, radiation-associated, and therefore ecologically determined. Hence, the results of this study reflected effects of natural selection through solar radiation on EST-related SNP genetic diversity, resulting presumably in different adaptive complexes at a micro-scale divergence. The present work highlights the evolutionary theory and application significance of solar radiation-driven natural selection in wheat improvement. PMID:28352272

  17. Allele-specific amplification in cancer revealed by SNP array analysis.

    Directory of Open Access Journals (Sweden)

    Thomas LaFramboise

    2005-11-01

    Full Text Available Amplification, deletion, and loss of heterozygosity of genomic DNA are hallmarks of cancer. In recent years a variety of studies have emerged measuring total chromosomal copy number at increasingly high resolution. Similarly, loss-of-heterozygosity events have been finely mapped using high-throughput genotyping technologies. We have developed a probe-level allele-specific quantitation procedure that extracts both copy number and allelotype information from single nucleotide polymorphism (SNP array data to arrive at allele-specific copy number across the genome. Our approach applies an expectation-maximization algorithm to a model derived from a novel classification of SNP array probes. This method is the first to our knowledge that is able to (a determine the generalized genotype of aberrant samples at each SNP site (e.g., CCCCT at an amplified site, and (b infer the copy number of each parental chromosome across the genome. With this method, we are able to determine not just where amplifications and deletions occur, but also the haplotype of the region being amplified or deleted. The merit of our model and general approach is demonstrated by very precise genotyping of normal samples, and our allele-specific copy number inferences are validated using PCR experiments. Applying our method to a collection of lung cancer samples, we are able to conclude that amplification is essentially monoallelic, as would be expected under the mechanisms currently believed responsible for gene amplification. This suggests that a specific parental chromosome may be targeted for amplification, whether because of germ line or somatic variation. An R software package containing the methods described in this paper is freely available at http://genome.dfci.harvard.edu/~tlaframb/PLASQ.

  18. The association of polymorphic sites in some genes with type 1 diabetes mellitus in a sample of Egyptian children

    Directory of Open Access Journals (Sweden)

    Ahmed A. El-Kafoury

    2014-07-01

    Conclusion: The IL-18 SNP-137 G>C (rs#187238, VDR SNP-Fok1 T>A (rs#2228570, and the SNP-1123 C>G (rs#2488457 in PTPN22 gene may have an effect on the occurrence of T1DM in Egyptian children. Further large-scale, population-based, case-control studies are needed.

  19. EST-derived SNP discovery and selective pressure analysis in Pacific white shrimp(Litopenaeus vannamei)

    Institute of Scientific and Technical Information of China (English)

    LIU Chengzhang; WANG Xia; XIANG Jianhai; LI Fuhua

    2012-01-01

    Pacific white shrimp has become a major aquaculture and fishery species worldwide.Although a large scale EST resource has been publicly available since 2008,the data have not yet been widely used for SNP discovery or transcriptome-wide assessment of selective pressure.In this study,a set of 155 411 expressed sequence tags(ESTs)from the NCBI database were computationally analyzed and 17 225single nucleotide polymorphisms(SNPs)were predicted,including 9 546 transitions,5 124 transversions and 2 481 indels.Among the 7 298 SNP substitutions located in functionally annotated contigs,58.4%(4 262)are non-synonymous SNPs capable of introducing amino acid mutations.Two hundred and fifty nonsynonymous SNPs in genes associated with economic traits have been identified as candidates for markers in selective breeding.Diversity estimates among the synonymous nucleotides were on average 3.49 times greater than those in non-synonymous,suggesting negative selection.Distribution of non-synonymous to synonymous substitutions(Ka/Ks)ratio ranges from 0 to 4.01,(average 0.42,median 0.26),suggesting that the majority of the affected genes are under purifying selection.Enrichment analysis identified multiple gene ontology categories under positive or negative selection.Categories involved in innate immune response and male gamete generation are rich in positively selected genes,which is similar to reports in Drosophila and primates.This work is the first transcriptome-wide assessment of selective pressure in a Penaeid shrimp species.The functionally annotated SNPs provide a valuable resource of potential molecular markers for selective breeding.

  20. EST-derived SNP discovery and selective pressure analysis in Pacific white shrimp ( Litopenaeus vannamei)

    Science.gov (United States)

    Liu, Chengzhang; Wang, Xia; Xiang, Jianhai; Li, Fuhua

    2012-09-01

    Pacific white shrimp has become a major aquaculture and fishery species worldwide. Although a large scale EST resource has been publicly available since 2008, the data have not yet been widely used for SNP discovery or transcriptome-wide assessment of selective pressure. In this study, a set of 155 411 expressed sequence tags (ESTs) from the NCBI database were computationally analyzed and 17 225 single nucleotide polymorphisms (SNPs) were predicted, including 9 546 transitions, 5 124 transversions and 2 481 indels. Among the 7 298 SNP substitutions located in functionally annotated contigs, 58.4% (4 262) are non-synonymous SNPs capable of introducing amino acid mutations. Two hundred and fifty nonsynonymous SNPs in genes associated with economic traits have been identified as candidates for markers in selective breeding. Diversity estimates among the synonymous nucleotides were on average 3.49 times greater than those in non-synonymous, suggesting negative selection. Distribution of non-synonymous to synonymous substitutions (Ka/Ks) ratio ranges from 0 to 4.01, (average 0.42, median 0.26), suggesting that the majority of the affected genes are under purifying selection. Enrichment analysis identified multiple gene ontology categories under positive or negative selection. Categories involved in innate immune response and male gamete generation are rich in positively selected genes, which is similar to reports in Drosophila and primates. This work is the first transcriptome-wide assessment of selective pressure in a Penaeid shrimp species. The functionally annotated SNPs provide a valuable resource of potential molecular markers for selective breeding.

  1. Large-scale SNP discovery through RNA sequencing and SNP genotyping by targeted enrichment sequencing in cassava (Manihot esculenta Crantz).

    Science.gov (United States)

    Pootakham, Wirulda; Shearman, Jeremy R; Ruang-Areerate, Panthita; Sonthirod, Chutima; Sangsrakru, Duangjai; Jomchai, Nukoon; Yoocha, Thippawan; Triwitayakorn, Kanokporn; Tragoonrung, Somvong; Tangphatsornruang, Sithichoke

    2014-01-01

    Cassava (Manihot esculenta Crantz) is one of the most important crop species being the main source of dietary energy in several countries. Marker-assisted selection has become an essential tool in plant breeding. Single nucleotide polymorphism (SNP) discovery via transcriptome sequencing is an attractive strategy for genome complexity reduction in organisms with large genomes. We sequenced the transcriptome of 16 cassava accessions using the Illumina HiSeq platform and identified 675,559 EST-derived SNP markers. A subset of those markers was subsequently genotyped by capture-based targeted enrichment sequencing in 100 F1 progeny segregating for starch viscosity phenotypes. A total of 2,110 non-redundant SNP markers were used to construct a genetic map. This map encompasses 1,785 cM and consists of 19 linkage groups. A major quantitative trait locus (QTL) controlling starch pasting properties was identified and shown to coincide with the QTL previously reported for this trait. With a high-density SNP-based linkage map presented here, we also uncovered a novel QTL associated with starch pasting time on LG 10.

  2. Effects of sodium nitroprusside (SNP) pretreatment on UV-B stress tolerance in lettuce (Lactuca sativa L.) seedlings.

    Science.gov (United States)

    Esringu, Aslıhan; Aksakal, Ozkan; Tabay, Dilruba; Kara, Ayse Aydan

    2016-01-01

    Ultraviolet-B (UV-B) radiation is one of the most important abiotic stress factors that could influence plant growth, development, and productivity. Nitric oxide (NO) is an important plant growth regulator involved in a wide variety of physiological processes. In the present study, the possibility of enhancing UV-B stress tolerance of lettuce seedlings by the exogenous application of sodium nitroprusside (SNP) was investigated. UV-B radiation increased the activities of superoxide dismutase (SOD), catalase (CAT), ascorbate peroxidase (APX), peroxidase (POD) and total phenolic concentrations, antioxidant capacity, and expression of phenylalanine ammonia lyase (PAL) gene in seedlings, but the combination of SNP pretreatment and UV-B enhanced antioxidant enzyme activities, total phenolic concentrations, antioxidant capacity, and PAL gene expression even more. Moreover, UV-B radiation significantly inhibited chlorophylls, carotenoid, gibberellic acid (GA), and indole-3-acetic acid (IAA) contents and increased the contents of abscisic acid (ABA), salicylic acid (SA), malondialdehyde (MDA), hydrogen peroxide (H2O2), and superoxide radical (O2•(-)) in lettuce seedlings. When SNP pretreatment was combined with the UV-B radiation, we observed alleviated chlorophylls, carotenoid, GA, and IAA inhibition and decreased content of ABA, SA, MDA, H2O2, and O2•(-) in comparison to non-pretreated stressed seedlings.

  3. Tag SNP selection for prediction of tick resistance in Brazilian Braford and Hereford cattle breeds using Bayesian methods.

    Science.gov (United States)

    Sollero, Bruna P; Junqueira, Vinícius S; Gomes, Cláudia C G; Caetano, Alexandre R; Cardoso, Fernando F

    2017-06-15

    Cattle resistance to ticks is known to be under genetic control with a complex biological mechanism within and among breeds. Our aim was to identify genomic segments and tag single nucleotide polymorphisms (SNPs) associated with tick-resistance in Hereford and Braford cattle. The predictive performance of a very low-density tag SNP panel was estimated and compared with results obtained with a 50 K SNP dataset. BayesB (π = 0.99) was initially applied in a genome-wide association study (GWAS) for this complex trait by using deregressed estimated breeding values for tick counts and 41,045 SNP genotypes from 3455 animals raised in southern Brazil. To estimate the combined effect of a genomic region that is potentially associated with quantitative trait loci (QTL), 2519 non-overlapping 1-Mb windows that varied in SNP number were defined, with the top 48 windows including 914 SNPs and explaining more than 20% of the estimated genetic variance for tick resistance. Subsequently, the most informative SNPs were selected based on Bayesian parameters (model frequency and t-like statistics), linkage disequilibrium and minor allele frequency to propose a very low-density 58-SNP panel. Some of these tag SNPs mapped close to or within genes and pseudogenes that are functionally related to tick resistance. Prediction ability of this SNP panel was investigated by cross-validation using K-means and random clustering and a BayesA model to predict direct genomic values. Accuracies from these cross-validations were 0.27 ± 0.09 and 0.30 ± 0.09 for the K-means and random clustering groups, respectively, compared to respective values of 0.37 ± 0.08 and 0.43 ± 0.08 when using all 41,045 SNPs and BayesB with π = 0.99, or of 0.28 ± 0.07 and 0.40 ± 0.08 with π = 0.999. Bayesian GWAS model parameters can be used to select tag SNPs for a very low-density panel, which will include SNPs that are potentially linked to functional genes. It can be useful for cost

  4. Transcriptome sequencing for SNP discovery across Cucumis melo

    Directory of Open Access Journals (Sweden)

    Blanca José

    2012-06-01

    and exotic agrestis melons from India and Africa as compared to commercial cultivars, cultigens and landraces from Eastern Europe, Western Asia and the Mediterranean basin is consistent with the evolutionary history proposed for the species. Group-specific SNVs that will be useful in introgression programs were also detected. In a sample of 143 selected putative SNPs, we verified 93% of the polymorphisms in a panel of 78 genotypes. Conclusions This study provides the first comprehensive resequencing data for wild, exotic, and cultivated (landraces and commercial melon transcriptomes, yielding the largest melon SNP collection available to date and representing a notable sample of the species diversity. This data provides a valuable resource for creating a catalog of allelic variants of melon genes and it will aid in future in-depth studies of population genetics, marker-assisted breeding, and gene identification aimed at developing improved varieties.

  5. SNP Analysis and Whole Exome Sequencing: Their Application in the Analysis of a Consanguineous Pedigree Segregating Ataxia

    Directory of Open Access Journals (Sweden)

    Sarah L. Nickerson

    2015-10-01

    Full Text Available Autosomal recessive cerebellar ataxia encompasses a large and heterogeneous group of neurodegenerative disorders. We employed single nucleotide polymorphism (SNP analysis and whole exome sequencing to investigate a consanguineous Maori pedigree segregating ataxia. We identified a novel mutation in exon 10 of the SACS gene: c.7962T>G p.(Tyr2654*, establishing the diagnosis of autosomal recessive spastic ataxia of Charlevoix-Saguenay (ARSACS. Our findings expand both the genetic and phenotypic spectrum of this rare disorder, and highlight the value of high-density SNP analysis and whole exome sequencing as powerful and cost-effective tools in the diagnosis of genetically heterogeneous disorders such as the hereditary ataxias.

  6. Assay for identification of heterozygous single-nucleotide polymorphism (Ala67Thr in human poliovirus receptor gene

    Directory of Open Access Journals (Sweden)

    Shyam Sundar Nandi

    2016-01-01

    Results: A new SNP assay for detection of heterozygous Ala67Thr genotype was developed and validated by testing 150 DNA samples. Heterozygous CD155 was detected in 27.33 per cent (41/150 of DNA samples tested by both SNP detection assay and sequencing. Interpretation & conclusions: The SNP detection assay was successfully developed for identification of Ala67Thr polymorphism in human PVR/CD155 gene. The SNP assay will be useful for large scale screening of DNA samples.

  7. Tag SNP polymorphism of CCL2 and its role in clinical tuberculosis in Han Chinese pediatric population.

    Directory of Open Access Journals (Sweden)

    Wei-Xing Feng

    Full Text Available BACKGROUND: Chemokine (C-C motif ligand 2 CCL2/MCP-1 is among the key signaling molecules of innate immunity; in particular, it is involved in recruitment of mononuclear and other cells in response to infection, including tuberculosis (TB and is essential for granuloma formation. METHODOLOGY/PRINCIPAL FINDINGS: We identified a tag SNP for the CCL2/MCP-1 gene (rs4586 C/T. In order to understand whether this SNP may serve to evaluate the contribution of the CCL2 gene to the expression of TB disease, we further analysed distribution of its alleles and genotypes in 301 TB cases versus 338 non-infected controls (all BCG vaccinated representing a high-risk pediatric population of North China. In the male TB subgroup, the C allele was identified in a higher rate (P = 0.045, and, acting dominantly, was found to be a risk factor for clinical TB (P = 0.029. Homozygous TT genotype was significantly associated with lower CSF mononuclear leukocyte (ML counts in patients with tuberculous meningitis (TBM (P = 0.001. CONCLUSIONS/SIGNIFICANCE: The present study found an association of the CCL2 tag SNP rs4586 C allele and pediatric TB disease in males, suggesting that gender may affect the susceptibility to TB even in children. The association of homozygous TT genotype with decreased CSF mononuclear leukocyte (ML count not only suggests a clinical significance of this SNP, but indicates its potential to assist in the clinical assessment of suspected TBM, where delay is critical and diagnosis is difficult.

  8. Combining target enrichment with barcode multiplexing for high throughput SNP discovery

    Directory of Open Access Journals (Sweden)

    Lunke Sebastian

    2010-11-01

    Full Text Available Abstract Background The primary goal of genetic linkage analysis is to identify genes affecting a phenotypic trait. After localisation of the linkage region, efficient genetic dissection of the disease linked loci requires that functional variants are identified across the loci. These functional variations are difficult to detect due to extent of genetic diversity and, to date, incomplete cataloguing of the large number of variants present both within and between populations. Massively parallel sequencing platforms offer unprecedented capacity for variant discovery, however the number of samples analysed are still limited by cost per sample. Some progress has been made in reducing the cost of resequencing using either multiplexing methodologies or through the utilisation of targeted enrichment technologies which provide the ability to resequence genomic areas of interest rather that full genome sequencing. Results We developed a method that combines current multiplexing methodologies with a solution-based target enrichment method to further reduce the cost of resequencing where region-specific sequencing is required. Our multiplex/enrichment strategy produced high quality data with nominal reduction of sequencing depth. We undertook a genotyping study and were successful in the discovery of novel SNP alleles in all samples at uniplex, duplex and pentaplex levels. Conclusion Our work describes the successful combination of a targeted enrichment method and index barcode multiplexing to reduce costs, time and labour associated with processing large sample sets. Furthermore, we have shown that the sequencing depth obtained is adequate for credible SNP genotyping analysis at uniplex, duplex and pentaplex levels.

  9. Differentiation of drug and non-drug Cannabis using a single nucleotide polymorphism (SNP) assay.

    Science.gov (United States)

    Rotherham, D; Harbison, S A

    2011-04-15

    Cannabis sativa is both an illegal drug and a legitimate crop. The differentiation of illegal drug Cannabis from non-drug forms of Cannabis is relevant in the context of the growth of fibre and seed oil varieties of Cannabis for commercial purposes. This differentiation is currently determined based on the levels of tetrahydrocannabinol (THC) in adult plants. DNA based methods have the potential to assay Cannabis material unsuitable for analysis using conventional means including seeds, pollen and severely degraded material. The purpose of this research was to develop a single nucleotide polymorphism (SNP) assay for the differentiation of "drug" and "non-drug"Cannabis plants. An assay was developed based on four polymorphisms within a 399 bp fragment of the tetrahydrocannabinolic acid (THCA) synthase gene, utilising the snapshot multiplex kit. This SNP assay was tested on 94 Cannabis plants, which included 10 blind samples, and was able to differentiate between "drug" and "non-drug"Cannabis in all cases, while also differentiating between Cannabis and other species. Non-drug plants were found to be homozygous at the four sites assayed while drug Cannabis plants were either homozygous or heterozygous.

  10. 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.

  11. Improving mapping and SNP-calling performance in multiplexed targeted next-generation sequencing

    Directory of Open Access Journals (Sweden)

    ElSharawy Abdou

    2012-08-01

    Full Text Available Abstract Background Compared to classical genotyping, targeted next-generation sequencing (tNGS can be custom-designed to interrogate entire genomic regions of interest, in order to detect novel as well as known variants. To bring down the per-sample cost, one approach is to pool barcoded NGS libraries before sample enrichment. Still, we lack a complete understanding of how this multiplexed tNGS approach and the varying performance of the ever-evolving analytical tools can affect the quality of variant discovery. Therefore, we evaluated the impact of different software tools and analytical approaches on the discovery of single nucleotide polymorphisms (SNPs in multiplexed tNGS data. To generate our own test model, we combined a sequence capture method with NGS in three experimental stages of increasing complexity (E. coli genes, multiplexed E. coli, and multiplexed HapMap BRCA1/2 regions. Results We successfully enriched barcoded NGS libraries instead of genomic DNA, achieving reproducible coverage profiles (Pearson correlation coefficients of up to 0.99 across multiplexed samples, with Conclusions We recommend applying our general ‘two-step’ mapping approach for more efficient SNP discovery in tNGS. Our study has also shown the benefit of computing inter-sample SNP-concordances and inspecting read alignments in order to attain more confident results.

  12. Multiplex target enrichment using DNA indexing for ultra-high throughput SNP detection.

    LENUS (Irish Health Repository)

    Kenny, Elaine M

    2011-02-01

    Screening large numbers of target regions in multiple DNA samples for sequence variation is an important application of next-generation sequencing but an efficient method to enrich the samples in parallel has yet to be reported. We describe an advanced method that combines DNA samples using indexes or barcodes prior to target enrichment to facilitate this type of experiment. Sequencing libraries for multiple individual DNA samples, each incorporating a unique 6-bp index, are combined in equal quantities, enriched using a single in-solution target enrichment assay and sequenced in a single reaction. Sequence reads are parsed based on the index, allowing sequence analysis of individual samples. We show that the use of indexed samples does not impact on the efficiency of the enrichment reaction. For three- and nine-indexed HapMap DNA samples, the method was found to be highly accurate for SNP identification. Even with sequence coverage as low as 8x, 99% of sequence SNP calls were concordant with known genotypes. Within a single experiment, this method can sequence the exonic regions of hundreds of genes in tens of samples for sequence and structural variation using as little as 1 μg of input DNA per sample.

  13. A custom correlation coefficient (CCC) approach for fast identification of multi-SNP association patterns in genome-wide SNPs data.

    Science.gov (United States)

    Climer, Sharlee; Yang, Wei; de las Fuentes, Lisa; Dávila-Román, Victor G; Gu, C Charles

    2014-11-01

    Complex diseases are often associated with sets of multiple interacting genetic factors and possibly with unique sets of the genetic factors in different groups of individuals (genetic heterogeneity). We introduce a novel concept of custom correlation coefficient (CCC) between single nucleotide polymorphisms (SNPs) that address genetic heterogeneity by measuring subset correlations autonomously. It is used to develop a 3-step process to identify candidate multi-SNP patterns: (1) pairwise (SNP-SNP) correlations are computed using CCC; (2) clusters of so-correlated SNPs identified; and (3) frequencies of these clusters in disease cases and controls compared to identify disease-associated multi-SNP patterns. This method identified 42 candidate multi-SNP associations with hypertensive heart disease (HHD), among which one cluster of 22 SNPs (six genes) included 13 in SLC8A1 (aka NCX1, an essential component of cardiac excitation-contraction coupling) and another of 32 SNPs had 29 from a different segment of SLC8A1. While allele frequencies show little difference between cases and controls, the cluster of 22 associated alleles were found in 20% of controls but no cases and the other in 3% of controls but 20% of cases. These suggest that both protective and risk effects on HHD could be exerted by combinations of variants in different regions of SLC8A1, modified by variants from other genes. The results demonstrate that this new correlation metric identifies disease-associated multi-SNP patterns overlooked by commonly used correlation measures. Furthermore, computation time using CCC is a small fraction of that required by other methods, thereby enabling the analyses of large GWAS datasets.

  14. SNP mining in C. clementina BAC end sequences; transferability in the Citrus genus (Rutaceae, phylogenetic inferences and perspectives for genetic mapping

    Directory of Open Access Journals (Sweden)

    Ollitrault Patrick

    2012-01-01

    Full Text Available Abstract Background With the increasing availability of EST databases and whole genome sequences, SNPs have become the most abundant and powerful polymorphic markers. However, SNP chip data generally suffers from ascertainment biases caused by the SNP discovery and selection process in which a small number of individuals are used as discovery panels. The ongoing International Citrus Genome Consortium sequencing project of the highly heterozygous Clementine and sweet orange genomes will soon result in the release of several hundred thousand SNPs. The primary goals of this study were: (i to estimate the transferability within the genus Citrus of SNPs discovered from Clementine BACend sequencing (BES, (ii to estimate bias associated with the very narrow discovery panel, and (iii to evaluate the usefulness of the Clementine-derived SNP markers for diversity analysis and comparative mapping studies between the different cultivated Citrus species. Results Fifty-four accessions covering the main Citrus species and 52 interspecific hybrids between pummelo and Clementine were genotyped on a GoldenGate array platform using 1,457 SNPs mined from Clementine BES and 37 SNPs identified between and within C. maxima, C. medica, C. reticulata and C. micrantha. Consistent results were obtained from 622 SNP loci. Of these markers, 116 displayed incomplete transferability primarily in C. medica, C. maxima and wild Citrus species. The two primary biases associated with the SNP mining in Clementine were an overestimation of the C. reticulata diversity and an underestimation of the interspecific differentiation. However, the genetic stratification of the gene pool was high, with very frequent significant linkage disequilibrium. Furthermore, the shared intraspecific polymorphism and accession heterozygosity were generally enough to perform interspecific comparative genetic mapping. Conclusions A set of 622 SNP markers providing consistent results was selected. Of the

  15. SNP mining in C. clementina BAC end sequences; transferability in the Citrus genus (Rutaceae), phylogenetic inferences and perspectives for genetic mapping.

    Science.gov (United States)

    Ollitrault, Patrick; Terol, Javier; Garcia-Lor, Andres; Bérard, Aurélie; Chauveau, Aurélie; Froelicher, Yann; Belzile, Caroline; Morillon, Raphaël; Navarro, Luis; Brunel, Dominique; Talon, Manuel

    2012-01-10

    With the increasing availability of EST databases and whole genome sequences, SNPs have become the most abundant and powerful polymorphic markers. However, SNP chip data generally suffers from ascertainment biases caused by the SNP discovery and selection process in which a small number of individuals are used as discovery panels. The ongoing International Citrus Genome Consortium sequencing project of the highly heterozygous Clementine and sweet orange genomes will soon result in the release of several hundred thousand SNPs. The primary goals of this study were: (i) to estimate the transferability within the genus Citrus of SNPs discovered from Clementine BACend sequencing (BES), (ii) to estimate bias associated with the very narrow discovery panel, and (iii) to evaluate the usefulness of the Clementine-derived SNP markers for diversity analysis and comparative mapping studies between the different cultivated Citrus species. Fifty-four accessions covering the main Citrus species and 52 interspecific hybrids between pummelo and Clementine were genotyped on a GoldenGate array platform using 1,457 SNPs mined from Clementine BES and 37 SNPs identified between and within C. maxima, C. medica, C. reticulata and C. micrantha. Consistent results were obtained from 622 SNP loci. Of these markers, 116 displayed incomplete transferability primarily in C. medica, C. maxima and wild Citrus species. The two primary biases associated with the SNP mining in Clementine were an overestimation of the C. reticulata diversity and an underestimation of the interspecific differentiation. However, the genetic stratification of the gene pool was high, with very frequent significant linkage disequilibrium. Furthermore, the shared intraspecific polymorphism and accession heterozygosity were generally enough to perform interspecific comparative genetic mapping. A set of 622 SNP markers providing consistent results was selected. Of the markers mined from Clementine, 80.5% were successfully

  16. Detection of SNP-SNP interactions in trios of parents with schizophrenic children.

    Science.gov (United States)

    Li, Qing; Fallin, M Daniele; Louis, Thomas A; Lasseter, Virginia K; McGrath, John A; Avramopoulos, Dimitri; Wolyniec, Paula S; Valle, David; Liang, Kung-Yee; Pulver, Ann E; Ruczinski, Ingo

    2010-07-01

    Schizophrenia (SZ) is a heritable and complex psychiatric disorder with an estimated worldwide prevalence of about 1%. Research on the risk factors for SZ has thus far yielded few clues to causes, but has pointed to a heterogeneous etiology that likely involves multiple genes and gene-environment interactions. In this manuscript, we apply a novel method (trio logic regression, Li et al., 2009) to case-parent trio data from a SZ candidate gene study conducted on families of Ashkenazi Jewish descent, and demonstrate the method's ability to detect multi-gene models for SZ risk in the family-based design. In particular, we demonstrate how this method revealed a genotype-phenotype association that includes an allele without marginal effect.

  17. Application of high resolution SNP arrays in patients with congenital oral clefts in south China

    Indian Academy of Sciences (India)

    TING-YING LEI; HONG-TAO WANG; FAN LI; YING-QIU CUI; FANG FU; RU LI; CAN LIAO

    2016-12-01

    Chromosome microarray analysis (CMA) has proven to be a powerful tool in postnatal patients with intellectual disabilities. However, the diagnostic capability of CMA in patients with congenital oral clefts remain mysterious. Here, we present ourclinical experience in implementing whole-genome high-resolution SNP arrays to investigate 33 patients with syndromic and nonsyndromic oral clefts in whom standard karyotyping analyses showed normal karyotypes. We aim to identify the genomic aetiology and candidate genes in patients with congenital oral clefts. CMA revealed copy number variants (CNVs) in every patient, which ranged from 2 to 9 per sample. The size of detected CNVs varied from 100 to 3.2 Mb. In 33 patients, we identified six clinically significant CNVs. The incidence of clinically significant CNVs was 18.2% (6/33). Three of these six CNVs were detected in patients with nonsyndromic clefts, including one who presented with isolated cleft lip with cleft palate (CLP) and two with cleft palate only (CPO). The remaining three CNVs were detected in patients with syndromic clefts. However, no CNV was detected in patients with cleft lip only (CLO). The six clinically significant CNVs were as follows: 8p23.1 microduplication (198 kb); 10q22.2-q22.3 microdeletion (1766 kb); 18q12.3 microduplication (638 kb); 20p12.1 microdeletion (184 kb); 6q26 microdeletion (389 kb); and 22q11.21-q11.23 microdeletion (3163 kb). In addition, two novel candidate genes for oral clefts, KAT6B and MACROD2, were putatively identified. We also found a CNV of unknown clinical significance witha detection rate of 3.0% (1/33). Our results further support the notion that CNVs significantly contributed to the genetic aetiology of oral clefts and emphasize the efficacy of whole-genome high-resolution SNP arrays to detect novel candidate genes in patients with syndromic and nonsyndromic clefts.

  18. High-density SNP genotyping to define beta-globin locus haplotypes.

    Science.gov (United States)

    Liu, Li; Muralidhar, Shalini; Singh, Manisha; Sylvan, Caprice; Kalra, Inderdeep S; Quinn, Charles T; Onyekwere, Onyinye C; Pace, Betty S

    2009-01-01

    Five major beta-globin locus haplotypes have been established in individuals with sickle cell disease (SCD) from the Benin, Bantu, Senegal, Cameroon, and Arab-Indian populations. Historically, beta-haplotypes were established using restriction fragment length polymorphism (RFLP) analysis across the beta-locus, which consists of five functional beta-like globin genes located on chromosome 11. Previous attempts to correlate these haplotypes as robust predictors of clinical phenotypes observed in SCD have not been successful. We speculate that the coverage and distribution of the RFLP sites located proximal to or within the globin genes are not sufficiently dense to accurately reflect the complexity of this region. To test our hypothesis, we performed RFLP analysis and high-density single nucleotide polymorphism (SNP) genotyping across the beta-locus using DNA samples from healthy African Americans with either normal hemoglobin A (HbAA) or individuals with homozygous SS (HbSS) disease. Using the genotyping data from 88 SNPs and Haploview analysis, we generated a greater number of haplotypes than that observed with RFLP analysis alone. Furthermore, a unique pattern of long-range linkage disequilibrium between the locus control region and the beta-like globin genes was observed in the HbSS group. Interestingly, we observed multiple SNPs within the HindIII restriction site located in the Ggamma-globin intervening sequence II which produced the same RFLP pattern. These findings illustrated the inability of RFLP analysis to decipher the complexity of sequence variations that impacts genomic structure in this region. Our data suggest that high-density SNP mapping may be required to accurately define beta-haplotypes that correlate with the different clinical phenotypes observed in SCD.

  19. Unraveling biocomplexity of Northeast Atlantic herring stocks using SNP markers

    DEFF Research Database (Denmark)

    Bekkevold, Dorte; Limborg, Morten; Helyar, Sarah;

    2012-01-01

    complicating stock assessment and management. It is therefore of management interest to trace individual population migration patterns and contributions to fisheries. To underpin management and to develop a validated tool for traceability of individuals from mixed‐stock samples we applied single nucleotide......Atlantic herring (Clupea harengus) exhibit biocomplexity, with widespread, geographically explicit populations that perform long‐range migration to common feeding and wintering areas, where they are exploited by fisheries. This means that exploited stocks do not describe discrete units, thereby...... polymorphism (SNP) markers in Northeast Atlantic herring population samples. Marker panels were targeted to include gene‐associated loci to maximize statistical resolution. Application of 281 SNP markers to samples representing different levels of stock complexity showed that the regional origin of individual...

  20. Large SNP arrays for genotyping in crop plants

    Indian Academy of Sciences (India)

    Martin W Ganal; Andreas Polley; Eva-Maria Graner; Joerg Plieske; Ralf Wieseke; Hartmut Luerssen; Gregor Durstewitz

    2012-11-01

    Genotyping with large numbers of molecular markers is now an indispensable tool within plant genetics and breeding. Especially through the identification of large numbers of single nucleotide polymorphism (SNP) markers using the novel high-throughput sequencing technologies, it is now possible to reliably identify many thousands of SNPs at many different loci in a given plant genome. For a number of important crop plants, SNP markers are now being used to design genotyping arrays containing thousands of markers spread over the entire genome and to analyse large numbers of samples. In this article, we discuss aspects that should be considered during the design of such large genotyping arrays and the analysis of individuals. The fact that crop plants are also often autopolyploid or allopolyploid is given due consideration. Furthermore, we outline some potential applications of large genotyping arrays including high-density genetic mapping, characterization (fingerprinting) of genetic material and breeding-related aspects such as association studies and genomic selection.

  1. Exploring germplasm diversity to understand the domestication process in Cicer spp. using SNP and DArT markers.

    Directory of Open Access Journals (Sweden)

    Manish Roorkiwal

    Full Text Available To estimate genetic diversity within and between 10 interfertile Cicer species (94 genotypes from the primary, secondary and tertiary gene pool, we analysed 5,257 DArT markers and 651 KASPar SNP markers. Based on successful allele calling in the tertiary gene pool, 2,763 DArT and 624 SNP markers that are polymorphic between genotypes from the gene pools were analyzed further. STRUCTURE analyses were consistent with 3 cultivated populations, representing kabuli, desi and pea-shaped seed types, with substantial admixture among these groups, while two wild populations were observed using DArT markers. AMOVA was used to partition variance among hierarchical sets of landraces and wild species at both the geographical and species level, with 61% of the variation found between species, and 39% within species. Molecular variance among the wild species was high (39% compared to the variation present in cultivated material (10%. Observed heterozygosity was higher in wild species than the cultivated species for each linkage group. Our results support the Fertile Crescent both as the center of domestication and diversification of chickpea. The collection used in the present study covers all the three regions of historical chickpea cultivation, with the highest diversity in the Fertile Crescent region. Shared alleles between different gene pools suggest the possibility of gene flow among these species or incomplete lineage sorting and could indicate complicated patterns of divergence and fusion of wild chickpea taxa in the past.

  2. Saturated genic SNP mapping identified functional candidates and selection tools for the Pinus monticola Cr2 locus controlling resistance to white pine blister rust.

    Science.gov (United States)

    Liu, Jun-Jun; Sniezko, Richard A; Zamany, Arezoo; Williams, Holly; Wang, Ning; Kegley, Angelia; Savin, Douglas P; Chen, Hao; Sturrock, Rona N

    2017-02-07

    Molecular breeding incorporates efficient tools to increase rust resistance in five-needle pines. Susceptibility of native five-needle pines to white pine blister rust (WPBR), caused by the non-native invasive fungus Cronartium ribicola (J.C. Fisch.), has significantly reduced wild populations of these conifers in North America. Major resistance (R) genes against specific avirulent pathotypes have been found in several five-needle pine species. In this study, we screened genic SNP markers by comparative transcriptome and genetic association analyses and constructed saturated linkage maps for the western white pine (Pinus monticola) R locus (Cr2). Phenotypic segregation was measured by a hypersensitive reaction (HR)-like response on the needles and disease symptoms of cankered stems post inoculation by the C. ribicola avcr2 race. SNP genotypes were determined by HRM- and TaqMan-based SNP genotyping. Saturated maps of the Cr2-linkage group (LG) were constructed in three seed families using a total of 34 SNP markers within 21 unique genes. Cr2 was consistently flanked by contig_2142 (encoding a ruvb-like protein) and contig_3772 (encoding a delta-fatty acid desaturase) across the three seed families. Cr2 was anchored to the Pinus consensus LG-1, which differs from LGs where other R loci of Pinus species were mapped. GO annotation identified a set of NBS-LRR and other resistance-related genes as R candidates in the Cr2 region. Association of one nonsynonymous SNP locus of an NBS-LRR gene with Cr2-mediated phenotypes provides a valuable tool for marker-assisted selection (MAS), which will shorten the breeding cycle of resistance screening and aid in the restoration of WPBR-disturbed forest ecosystems.

  3. Robust demographic inference from genomic and SNP data.

    Directory of Open Access Journals (Sweden)

    Laurent Excoffier

    2013-10-01

    Full Text Available We introduce a flexible and robust simulation-based framework to infer demographic parameters from the site frequency spectrum (SFS computed on large genomic datasets. We show that our composite-likelihood approach allows one to study evolutionary models of arbitrary complexity, which cannot be tackled by other current likelihood-based methods. For simple scenarios, our approach compares favorably in terms of accuracy and speed with ∂a∂i, the current reference in the field, while showing better convergence properties for complex models. We first apply our methodology to non-coding genomic SNP data from four human populations. To infer their demographic history, we compare neutral evolutionary models of increasing complexity, including unsampled populations. We further show the versatility of our framework by extending it to the inference of demographic parameters from SNP chips with known ascertainment, such as that recently released by Affymetrix to study human origins. Whereas previous ways of handling ascertained SNPs were either restricted to a single population or only allowed the inference of divergence time between a pair of populations, our framework can correctly infer parameters of more complex models including the divergence of several populations, bottlenecks and migration. We apply this approach to the reconstruction of African demography using two distinct ascertained human SNP panels studied under two evolutionary models. The two SNP panels lead to globally very similar estimates and confidence intervals, and suggest an ancient divergence (>110 Ky between Yoruba and San populations. Our methodology appears well suited to the study of complex scenarios from large genomic data sets.

  4. Introgression browser: high-throughput whole-genome SNP visualization.

    Science.gov (United States)

    Aflitos, Saulo Alves; Sanchez-Perez, Gabino; de Ridder, Dick; Fransz, Paul; Schranz, Michael E; de Jong, Hans; Peters, Sander A

    2015-04-01

    Breeding by introgressive hybridization is a pivotal strategy to broaden the genetic basis of crops. Usually, the desired traits are monitored in consecutive crossing generations by marker-assisted selection, but their analyses fail in chromosome regions where crossover recombinants are rare or not viable. Here, we present the Introgression Browser (iBrowser), a bioinformatics tool aimed at visualizing introgressions at nucleotide or SNP (Single Nucleotide Polymorphisms) accuracy. The software selects homozygous SNPs from Variant Call Format (VCF) information and filters out heterozygous SNPs, multi-nucleotide polymorphisms (MNPs) and insertion-deletions (InDels). For data analysis iBrowser makes use of sliding windows, but if needed it can generate any desired fragmentation pattern through General Feature Format (GFF) information. In an example of tomato (Solanum lycopersicum) accessions we visualize SNP patterns and elucidate both position and boundaries of the introgressions. We also show that our tool is capable of identifying alien DNA in a panel of the closely related S. pimpinellifolium by examining phylogenetic relationships of the introgressed segments in tomato. In a third example, we demonstrate the power of the iBrowser in a panel of 597 Arabidopsis accessions, detecting the boundaries of a SNP-free region around a polymorphic 1.17 Mbp inverted segment on the short arm of chromosome 4. The architecture and functionality of iBrowser makes the software appropriate for a broad set of analyses including SNP mining, genome structure analysis, and pedigree analysis. Its functionality, together with the capability to process large data sets and efficient visualization of sequence variation, makes iBrowser a valuable breeding tool.

  5. SNPdetector: a software tool for sensitive and accurate SNP detection.

    Directory of Open Access Journals (Sweden)

    Jinghui Zhang

    2005-10-01

    Full Text Available Identification of single nucleotide polymorphisms (SNPs and mutations is important for the discovery of genetic predisposition to complex diseases. PCR resequencing is the method of choice for de novo SNP discovery. However, manual curation of putative SNPs has been a major bottleneck in the application of this method to high-throughput screening. Therefore it is critical to develop a more sensitive and accurate computational method for automated SNP detection. We developed a software tool, SNPdetector, for automated identification of SNPs and mutations in fluorescence-based resequencing reads. SNPdetector was designed to model the process of human visual inspection and has a very low false positive and false negative rate. We demonstrate the superior performance of SNPdetector in SNP and mutation analysis by comparing its results with those derived by human inspection, PolyPhred (a popular SNP detection tool, and independent genotype assays in three large-scale investigations. The first study identified and validated inter- and intra-subspecies variations in 4,650 traces of 25 inbred mouse strains that belong to either the Mus musculus species or the M. spretus species. Unexpected heterozygosity in CAST/Ei strain was observed in two out of 1,167 mouse SNPs. The second study identified 11,241 candidate SNPs in five ENCODE regions of the human genome covering 2.5 Mb of genomic sequence. Approximately 50% of the candidate SNPs were selected for experimental genotyping; the validation rate exceeded 95%. The third study detected ENU-induced mutations (at 0.04% allele frequency in 64,896 traces of 1,236 zebra fish. Our analysis of three large and diverse test datasets demonstrated that SNPdetector is an effective tool for genome-scale research and for large-sample clinical studies. SNPdetector runs on Unix/Linux platform and is available publicly (http://lpg.nci.nih.gov.

  6. SNPdetector: A Software Tool for Sensitive and Accurate SNP Detection.

    Directory of Open Access Journals (Sweden)

    2005-10-01

    Full Text Available Identification of single nucleotide polymorphisms (SNPs and mutations is important for the discovery of genetic predisposition to complex diseases. PCR resequencing is the method of choice for de novo SNP discovery. However, manual curation of putative SNPs has been a major bottleneck in the application of this method to high-throughput screening. Therefore it is critical to develop a more sensitive and accurate computational method for automated SNP detection. We developed a software tool, SNPdetector, for automated identification of SNPs and mutations in fluorescence-based resequencing reads. SNPdetector was designed to model the process of human visual inspection and has a very low false positive and false negative rate. We demonstrate the superior performance of SNPdetector in SNP and mutation analysis by comparing its results with those derived by human inspection, PolyPhred (a popular SNP detection tool, and independent genotype assays in three large-scale investigations. The first study identified and validated inter- and intra-subspecies variations in 4,650 traces of 25 inbred mouse strains that belong to either the Mus musculus species or the M. spretus species. Unexpected heterozgyosity in CAST/Ei strain was observed in two out of 1,167 mouse SNPs. The second study identified 11,241 candidate SNPs in five ENCODE regions of the human genome covering 2.5 Mb of genomic sequence. Approximately 50% of the candidate SNPs were selected for experimental genotyping; the validation rate exceeded 95%. The third study detected ENU-induced mutations (at 0.04% allele frequency in 64,896 traces of 1,236 zebra fish. Our analysis of three large and diverse test datasets demonstrated that SNPdetector is an effective tool for genome-scale research and for large-sample clinical studies. SNPdetector runs on Unix/Linux platform and is available publicly (http://lpg.nci.nih.gov.

  7. Global haplotype partitioning for maximal associated SNP pairs

    Directory of Open Access Journals (Sweden)

    Pezeshk Hamid

    2009-08-01

    Full Text Available Abstract Background Global partitioning based on pairwise associations of SNPs has not previously been used to define haplotype blocks within genomes. Here, we define an association index based on LD between SNP pairs. We use the Fisher's exact test to assess the statistical significance of the LD estimator. By this test, each SNP pair is characterized as associated, independent, or not-statistically-significant. We set limits on the maximum acceptable proportion of independent pairs within all blocks and search for the partitioning with maximal proportion of associated SNP pairs. Essentially, this model is reduced to a constrained optimization problem, the solution of which is obtained by iterating a dynamic programming algorithm. Results In comparison with other methods, our algorithm reports blocks of larger average size. Nevertheless, the haplotype diversity within the blocks is captured by a small number of tagSNPs. Resampling HapMap haplotypes under a block-based model of recombination showed that our algorithm is robust in reproducing the same partitioning for recombinant samples. Our algorithm performed better than previously reported models in a case-control association study aimed at mapping a single locus trait, based on simulation results that were evaluated by a block-based statistical test. Compared to methods of haplotype block partitioning, we performed best on detection of recombination hotspots. Conclusion Our proposed method divides chromosomes into the regions within which allelic associations of SNP pairs are maximized. This approach presents a native design for dimension reduction in genome-wide association studies. Our results show that the pairwise allelic association of SNPs can describe various features of genomic variation, in particular recombination hotspots.

  8. A gene-based information gain method for detecting gene-gene interactions in case-control studies.

    Science.gov (United States)

    Li, Jin; Huang, Dongli; Guo, Maozu; Liu, Xiaoyan; Wang, Chunyu; Teng, Zhixia; Zhang, Ruijie; Jiang, Yongshuai; Lv, Hongchao; Wang, Limei

    2015-11-01

    Currently, most methods for detecting gene-gene interactions (GGIs) in genome-wide association studies are divided into SNP-based methods and gene-based methods. Generally, the gene-based methods can be more powerful than SNP-based methods. Some gene-based entropy methods can only capture the linear relationship between genes. We therefore proposed a nonparametric gene-based information gain method (GBIGM) that can capture both linear relationship and nonlinear correlation between genes. Through simulation with different odds ratio, sample size and prevalence rate, GBIGM was shown to be valid and more powerful than classic KCCU method and SNP-based entropy method. In the analysis of data from 17 genes on rheumatoid arthritis, GBIGM was more effective than the other two methods as it obtains fewer significant results, which was important for biological verification. Therefore, GBIGM is a suitable and powerful tool for detecting GGIs in case-control studies.

  9. SNP Discovery Using a Pangenome: Has the Single Reference Approach Become Obsolete?

    Science.gov (United States)

    Hurgobin, Bhavna; Edwards, David

    2017-03-11

    Increasing evidence suggests that a single individual is insufficient to capture the genetic diversity within a species due to gene presence absence variation. In order to understand the extent to which genomic variation occurs in a species, the construction of its pangenome is necessary. The pangenome represents the complete set of genes of a species; it is composed of core genes, which are present in all individuals, and variable genes, which are present only in some individuals. Aside from variations at the gene level, single nucleotide polymorphisms (SNPs) are also an important form of genetic variation. The advent of next-generation sequencing (NGS) coupled with the heritability of SNPs make them ideal markers for genetic analysis of human, animal, and microbial data. SNPs have also been extensively used in crop genetics for association mapping, quantitative trait loci (QTL) analysis, analysis of genetic diversity, and phylogenetic analysis. This review focuses on the use of pangenomes for SNP discovery. It highlights the advantages of using a pangenome rather than a single reference for this purpose. This review also demonstrates how extra information not captured in a single reference alone can be used to provide additional support for linking genotypic data to phenotypic data.

  10. SNP Discovery Using a Pangenome: Has the Single Reference Approach Become Obsolete?

    Directory of Open Access Journals (Sweden)

    Bhavna Hurgobin

    2017-03-01

    Full Text Available Increasing evidence suggests that a single individual is insufficient to capture the genetic diversity within a species due to gene presence absence variation. In order to understand the extent to which genomic variation occurs in a species, the construction of its pangenome is necessary. The pangenome represents the complete set of genes of a species; it is composed of core genes, which are present in all individuals, and variable genes, which are present only in some individuals. Aside from variations at the gene level, single nucleotide polymorphisms (SNPs are also an important form of genetic variation. The advent of next-generation sequencing (NGS coupled with the heritability of SNPs make them ideal markers for genetic analysis of human, animal, and microbial data. SNPs have also been extensively used in crop genetics for association mapping, quantitative trait loci (QTL analysis, analysis of genetic diversity, and phylogenetic analysis. This review focuses on the use of pangenomes for SNP discovery. It highlights the advantages of using a pangenome rather than a single reference for this purpose. This review also demonstrates how extra information not captured in a single reference alone can be used to provide additional support for linking genotypic data to phenotypic data.

  11. A genome-wide SNP scan accelerates trait-regulatory genomic loci identification in chickpea

    Science.gov (United States)

    Kujur, Alice; Bajaj, Deepak; Upadhyaya, Hari D.; Das, Shouvik; Ranjan, Rajeev; Shree, Tanima; Saxena, Maneesha S.; Badoni, Saurabh; Kumar, Vinod; Tripathi, Shailesh; Gowda, C.L.L.; Sharma, Shivali; Singh, Sube; Tyagi, Akhilesh K.; Parida, Swarup K.

    2015-01-01

    We identified 44844 high-quality SNPs by sequencing 92 diverse chickpea accessions belonging to a seed and pod trait-specific association panel using reference genome- and de novo-based GBS (genotyping-by-sequencing) assays. A GWAS (genome-wide association study) in an association panel of 211, including the 92 sequenced accessions, identified 22 major genomic loci showing significant association (explaining 23–47% phenotypic variation) with pod and seed number/plant and 100-seed weight. Eighteen trait-regulatory major genomic loci underlying 13 robust QTLs were validated and mapped on an intra-specific genetic linkage map by QTL mapping. A combinatorial approach of GWAS, QTL mapping and gene haplotype-specific LD mapping and transcript profiling uncovered one superior haplotype and favourable natural allelic variants in the upstream regulatory region of a CesA-type cellulose synthase (Ca_Kabuli_CesA3) gene regulating high pod and seed number/plant (explaining 47% phenotypic variation) in chickpea. The up-regulation of this superior gene haplotype correlated with increased transcript expression of Ca_Kabuli_CesA3 gene in the pollen and pod of high pod/seed number accession, resulting in higher cellulose accumulation for normal pollen and pollen tube growth. A rapid combinatorial genome-wide SNP genotyping-based approach has potential to dissect complex quantitative agronomic traits and delineate trait-regulatory genomic loci (candidate genes) for genetic enhancement in crop plants, including chickpea. PMID:26058368

  12. Rapid SNP discovery and genetic mapping using sequenced RAD markers.

    Directory of Open Access Journals (Sweden)

    Nathan A Baird

    Full Text Available Single nucleotide polymorphism (SNP discovery and genotyping are essential to genetic mapping. There remains a need for a simple, inexpensive platform that allows high-density SNP discovery and genotyping in large populations. Here we describe the sequencing of restriction-site associated DNA (RAD tags, which identified more than 13,000 SNPs, and mapped three traits in two model organisms, using less than half the capacity of one Illumina sequencing run. We demonstrated that different marker densities can be attained by choice of restriction enzyme. Furthermore, we developed a barcoding system for sample multiplexing and fine mapped the genetic basis of lateral plate armor loss in threespine stickleback by identifying recombinant breakpoints in F(2 individuals. Barcoding also facilitated mapping of a second trait, a reduction of pelvic structure, by in silico re-sorting of individuals. To further demonstrate the ease of the RAD sequencing approach we identified polymorphic markers and mapped an induced mutation in Neurospora crassa. Sequencing of RAD markers is an integrated platform for SNP discovery and genotyping. This approach should be widely applicable to genetic mapping in a variety of organisms.

  13. openSNP--a crowdsourced web resource for personal genomics.

    Directory of Open Access Journals (Sweden)

    Bastian Greshake

    Full Text Available Genome-Wide Association Studies are widely used to correlate phenotypic traits with genetic variants. These studies usually compare the genetic variation between two groups to single out certain Single Nucleotide Polymorphisms (SNPs that are linked to a phenotypic variation in one of the groups. However, it is necessary to have a large enough sample size to find statistically significant correlations. Direct-To-Consumer (DTC genetic testing can supply additional data: DTC-companies offer the analysis of a large amount of SNPs for an individual at low cost without the need to consult a physician or geneticist. Over 100,000 people have already been genotyped through Direct-To-Consumer genetic testing companies. However, this data is not public for a variety of reasons and thus cannot be used in research. It seems reasonable to create a central open data repository for such data. Here we present the web platform openSNP, an open database which allows participants of Direct-To-Consumer genetic testing to publish their genetic data at no cost along with phenotypic information. Through this crowdsourced effort of collecting genetic and phenotypic information, openSNP has become a resource for a wide area of studies, including Genome-Wide Association Studies. openSNP is hosted at http://www.opensnp.org, and the code is released under MIT-license at http://github.com/gedankenstuecke/snpr.

  14. A robust SNP barcode for typing Mycobacterium tuberculosis complex strains

    KAUST Repository

    Coll, Francesc

    2014-09-01

    Strain-specific genomic diversity in the Mycobacterium tuberculosis complex (MTBC) is an important factor in pathogenesis that may affect virulence, transmissibility, host response and emergence of drug resistance. Several systems have been proposed to classify MTBC strains into distinct lineages and families. Here, we investigate single-nucleotide polymorphisms (SNPs) as robust (stable) markers of genetic variation for phylogenetic analysis. We identify ∼92k SNP across a global collection of 1,601 genomes. The SNP-based phylogeny is consistent with the gold-standard regions of difference (RD) classification system. Of the ∼7k strain-specific SNPs identified, 62 markers are proposed to discriminate known circulating strains. This SNP-based barcode is the first to cover all main lineages, and classifies a greater number of sublineages than current alternatives. It may be used to classify clinical isolates to evaluate tools to control the disease, including therapeutics and vaccines whose effectiveness may vary by strain type. © 2014 Macmillan Publishers Limited.

  15. PanSNPdb: the Pan-Asian SNP genotyping database.

    Directory of Open Access Journals (Sweden)

    Chumpol Ngamphiw

    Full Text Available The HUGO Pan-Asian SNP consortium conducted the largest survey to date of human genetic diversity among Asians by sampling 1,719 unrelated individuals among 71 populations from China, India, Indonesia, Japan, Malaysia, the Philippines, Singapore, South Korea, Taiwan, and Thailand. We have constructed a database (PanSNPdb, which contains these data and various new analyses of them. PanSNPdb is a research resource in the analysis of the population structure of Asian peoples, including linkage disequilibrium patterns, haplotype distributions, and copy number variations. Furthermore, PanSNPdb provides an interactive comparison with other SNP and CNV databases, including HapMap3, JSNP, dbSNP and DGV and thus provides a comprehensive resource of human genetic diversity. The information is accessible via a widely accepted graphical interface used in many genetic variation databases. Unrestricted access to PanSNPdb and any associated files is available at: http://www4a.biotec.or.th/PASNP.

  16. High Order Gene-Gene Interactions in Eight Single Nucleotide Polymorphisms of Renin-Angiotensin System Genes for Hypertension Association Study

    Directory of Open Access Journals (Sweden)

    Cheng-Hong Yang

    2015-01-01

    Full Text Available Several single nucleotide polymorphisms (SNPs of renin-angiotensin system (RAS genes are associated with hypertension (HT but most of them are focusing on single locus effects. Here, we introduce an unbalanced function based on multifactor dimensionality reduction (MDR for multiloci genotypes to detect high order gene-gene (SNP-SNP interaction in unbalanced cases and controls of HT data. Eight SNPs of three RAS genes (angiotensinogen, AGT; angiotensin-converting enzyme, ACE; angiotensin II type 1 receptor, AT1R in HT and non-HT subjects were included that showed no significant genotype differences. In 2- to 6-locus models of the SNP-SNP interaction, the SNPs of AGT and ACE genes were associated with hypertension (bootstrapping odds ratio [Boot-OR] = 1.972~3.785; 95%, confidence interval (CI 1.26~6.21; P<0.005. In 7- and 8-locus model, SNP A1166C of AT1R gene is joined to improve the maximum Boot-OR values of 4.050 to 4.483; CI = 2.49 to 7.29; P<1.63E−08. In conclusion, the epistasis networks are identified by eight SNP-SNP interaction models. AGT, ACE, and AT1R genes have overall effects with susceptibility to hypertension, where the SNPs of ACE have a mainly hypertension-associated effect and show an interacting effect to SNPs of AGT and AT1R genes.

  17. MDM2 SNP309 promoter polymorphism and p53 mutations in urinary bladder carcinoma stage T1

    Directory of Open Access Journals (Sweden)

    Olsson Hans

    2013-01-01

    Full Text Available Abstract Background Urinary bladder carcinoma stage T1 is an unpredictable disease that in some cases has a good prognosis with only local or no recurrence, but in others can appear as a more aggressive tumor with progression to more advanced stages. The aim here was to investigate stage T1 tumors regarding MDM2 promoter SNP309 polymorphism, mutations in the p53 gene, and expression of p53 and p16 measured by immunohistochemistry, and subsequently relate these changes to tumor recurrence and progression. We examined a cohort of patients with primary stage T1 urothelial carcinoma of the bladder and their tumors. Methods After re-evaluation of the original slides and exclusions, the study population comprised 141 patients, all with primary stage T1 urothelial carcinoma of the bladder. The hospital records were screened for clinical parameters and information concerning presence of histologically proven recurrence and progression. The paraffin-embedded tumor material was evaluated by immunohistochemistry. Any mutations found in the p53 gene were studied by single-strand conformation analysis and Sanger sequencing. The MDM2 SNP309 polymorphism was investigated by pyrosequencing. Multivariate analyses concerning association with prognosis were performed, and Kaplan-Meier analysis was conducted for a combination of changes and time to progression. Results Of the 141 patients, 82 had at least one MDM2 SNP309 G allele, and 53 had a mutation in the p53 gene, but neither of those anomalies was associated with a worse prognosis. A mutation in the p53 gene was associated with immunohistochemically visualized p53 protein expression at a cut-off value of 50%. In the group with p53 mutation Kaplan-Meier analysis showed higher rate of progression and shorter time to progression in patients with immunohistochemically abnormal p16 expression compared to them with normal p16 expression (p = 0.038. Conclusions MDM2 SNP309 promoter polymorphism and mutations in

  18. Identifying putative breast cancer-associated long intergenic non-coding RNA loci by high density SNP array analysis

    Directory of Open Access Journals (Sweden)

    Zhengyu eJiang

    2012-12-01

    Full Text Available Recent high-throughput transcript discoveries have yielded a growing recognition of long intergenic non-coding RNAs (lincRNAs, a class of arbitrarily defined transcripts (>200 nt that are primarily produced from the intergenic space. LincRNAs have been increasingly acknowledged for their expressional dynamics and likely functional associations with cancers. However, differential gene dosage of lincRNA genes between cancer genomes is less studied. By using the high-density Human Omni5-Quad BeadChips (Illumina, we investigated genomic copy number aberrations in a set of seven tumor-normal paired primary human mammary epithelial cells (HMECs established from patients with invasive ductal carcinoma. This Beadchip platform includes a total of 2,435,915 SNP loci dispersed at an average interval of ~700 nt throughout the intergenic region of the human genome. We mapped annotated or putative lincRNA genes to a subset of 332,539 SNP loci, which were included in our analysis for lincRNA-associated copy number variations (CNV. We have identified 122 lincRNAs, which were affected by somatic CNV with overlapped aberrations ranging from 0.14% to 100% in length. LincRNA-associated aberrations were detected predominantly with copy number losses and preferential clustering to the ends of chromosomes. Interestingly, lincRNA genes appear to be much less susceptible to CNV in comparison to both protein-coding and intergenic regions (CNV affected segments in percentage: 1.8%, 37.5% and 60.6%, respectively. In summary, our study established a novel approach utilizing high-resolution SNP array to identify lincRNA candidates, which could functionally link to tumorigenesis, and provide new strategies for the diagnosis and treatment of breast cancer.

  19. The MnSOD Ala16Val SNP: relevance to human diseases and interaction with environmental factors.

    Science.gov (United States)

    Bresciani, G; Cruz, I B M; de Paz, J A; Cuevas, M J; González-Gallego, J

    2013-10-01

    The relevance of reactive oxygen species (ROS) production relies on the dual role shown by these molecules in aerobes. ROS are known to modulate several physiological phenomena, such as immune response and cell growth and differentiation; on the other hand, uncontrolled ROS production may cause important tissue and cell damage, such as deoxyribonucleic acid oxidation, lipid peroxidation, and protein carbonylation. The manganese superoxide dismutase (MnSOD) antioxidant enzyme affords the major defense against ROS within the mitochondria, which is considered the main ROS production locus in aerobes. Structural and/or functional single nucleotide polymorphisms (SNP) within the MnSOD encoding gene may be relevant for ROS detoxification. Specifically, the MnSOD Ala16Val SNP has been shown to alter the enzyme localization and mitochondrial transportation, affecting the redox status balance. Oxidative stress may contribute to the development of type 2 diabetes, cardiovascular diseases, various inflammatory conditions, or cancer. The Ala16Val MnSOD SNP has been associated with these and other chronic diseases; however, inconsistent findings between studies have made difficult drawing definitive conclusions. Environmental factors, such as dietary antioxidant intake and exercise have been shown to affect ROS metabolism through antioxidant enzyme regulation and may contribute to explain inconsistencies in the literature. Nevertheless, whether environmental factors may be associated to the Ala16Val genotypes in human diseases still needs to be clarified.

  20. SNP在肉牛育种中的应用进展%SNP and Its Application in Beef Cattle Breeding

    Institute of Scientific and Technical Information of China (English)

    蔡明成; 杨魁; 王玲; 左福元

    2012-01-01

    Single nucleotide polymorphisms (SNP), as a third generation molecular marker, has many characteristics, such as rich sites, strong representation and genetic stability, it had became the focus of molecular markers related fields. This paper reviewed the characteristics and detection methods of SNP and its application in beef cattle' s growth traits, reproductive traits, carcass and meat quality traits, as the candidate gene for molecular marker assisted selection, to accelerate the speed of beef cattle breeding.%单核苷酸多态性(Single nucleotide polymorphism,SNP)作为第三代分子标记,具有位点丰富、代表性强和遗传稳定等特点,已成为分子标记研究领域的焦点.本研究综述了SNP特点、检测方法及其在肉牛生长发育性状、繁殖性状、胴体与肉质性状的应用,作为分子标记辅助选择的候选基因,加快了肉牛育种进程.

  1. Rapid Diagnosis of Imprinting Disorders Involving Copy Number Variation and Uniparental Disomy Using Genome-Wide SNP Microarrays.

    Science.gov (United States)

    Liu, Weiqiang; Zhang, Rui; Wei, Jun; Zhang, Huimin; Yu, Guojiu; Li, Zhihua; Chen, Min; Sun, Xiaofang

    2015-01-01

    Imprinting disorders, such as Beckwith-Wiedemann syndrome (BWS), Prader-Willi syndrome (PWS) and Angelman syndrome (AS), can be detected via methylation analysis, methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA), or other methods. In this study, we applied single nucleotide polymorphism (SNP)-based chromosomal microarray analysis to detect copy number variations (CNVs) and uniparental disomy (UPD) events in patients with suspected imprinting disorders. Of 4 patients, 2 had a 5.25-Mb microdeletion in the 15q11.2q13.2 region, 1 had a 38.4-Mb mosaic UPD in the 11p15.4 region, and 1 had a 60-Mb detectable UPD between regions 14q13.2 and 14q32.13. Although the 14q32.2 region was classified as normal by SNP array for the 14q13 UPD patient, it turned out to be a heterodisomic UPD by short tandem repeat marker analysis. MS-MLPA analysis was performed to validate the variations. In conclusion, SNP-based microarray is an efficient alternative method for quickly and precisely diagnosing PWS, AS, BWS, and other imprinted gene-associated disorders when considering aberrations due to CNVs and most types of UPD.

  2. Genetic diversity and relatedness of sweet cherry (Prunus avium L. cultivars based on single nucleotide polymorphic (SNP markers

    Directory of Open Access Journals (Sweden)

    Angel eFernandez i Marti

    2012-06-01

    Full Text Available Most previous studies on genetic fingerprinting and cultivar relatedness in sweet cherry were based on isoenzyme, RAPD and SSR markers. This study was carried out to assess the utility of SNP markers generated from 3’UTRs for genetic fingerprinting in sweet cherry. A total of 114 sweet cherry germplasm representing advanced selections, commercial cultivars and old cultivars imported from different parts of the world were screened with 7 SSR markers developed from other Prunus species and with 40 SNPs obtained from 3’UTR sequences of Rainier and Bing sweet cherry cultivars. Both types of marker study had 99 accessions in common. The SSR data was used to validate the SNP results. Results showed that the average number of alleles per locus, mean observed heterozygosity, expected heterozygosity and polymorphic information content (PIC values were higher in SSRs than in SNPs although both set of markers were similar in their grouping of the sweet cherry accessions as shown in the dendrogram. SNPs were able to distinguish sport mutants from their wild type germplasm. For example, ‘Stella’ was separated from ‘Compact Stella’. This demonstrates the greater power of SNPs for discriminating mutants from their original parents than SSRs. In addition, SNP markers confirmed parentage and also determined relationships of the accessions in a manner consistent with their pedigree relationships. We would recommend the use of 3’ UTR SNPs for genetic fingerprinting, parentage verification, gene mapping and study of genetic diversity in sweet cherry.

  3. Effective Natural PCR-RFLP Primer Design for SNP Genotyping Using Teaching-Learning-Based Optimization With Elite Strategy.

    Science.gov (United States)

    Cheng, Yu-Huei; Kuo, Che-Nan; Lai, Ching-Ming

    2016-10-01

    SNP (single nucleotide polymorphism) genotyping is the determination of genetic variations of SNPs between members of a species. In many laboratories, PCR-RFLP (polymerase chain reaction-restriction fragment length polymorphism) is a usually used biotechnology for SNP genotyping, especially in small-scale basic research studies of complex genetic diseases. PCR-RFLP requires an available restriction enzyme at least for identify a target SNP and an effective primer pair conforms numerous constraints. However, the lots of restriction enzymes, tedious sequence and complicated constraints make the mining of available restriction enzymes and the design of effective primer pairs become a major challenge. In the study, we propose a novel and available CI (Computation Intelligence)-based method called TLBO (teaching-learning-based optimization) and introduce the elite strategy to design effective primer pairs. Three common melting temperature computations are available in the method. REHUNT (Restriction Enzymes HUNTing) is first combined with the method to mine available restriction enzymes. Robust in silico simulations for the GA (genetic algorithm), the PSO (particle swarm optimization), and the method for natural PCR-RFLP primer design in the SLC6A4 gene with two hundred and eighty-eight SNPs had been performed and compared. These methods had been implemented in JAVA and they are freely available at https://sites.google.com/site/yhcheng1981/tlbonpd-elite for users of academic and non-commercial interests.

  4. Usefulness of the SNP microarray technology to identify rare mutations in the case of perinatal death

    DEFF Research Database (Denmark)

    Hoeffding, L. K.; Kock, K. F.; Johnsen, Iben Birgit Gade

    2015-01-01

    The single nucleotide polymorphism (SNP) microarray technology has emerged as a powerful tool to screen the whole genome for sub-microscopic duplications and deletions that are not detectable by traditional cytogenetic analysis. Case: We report a case of a female twin born at 27th week of gestation...... CNV in relation to the clinical phenotype (pulmonary immaturity) was a disruption in the gene ST6GALNAC3 (1p31.1) that is involved in the biosynthesis of gangliosides. Conclusions: It is unknown from this case report whether the CNV at 1p31.1 contributes to a genetic predisposition that is related...... to maturation of the lungs or the perinatal death of one of the twins. However, disruptions in the biosynthesis of gangliosides have been previously associated with premature death in mice....

  5. A Total Integrated Biochip System for Detection of SNP in Cancer

    DEFF Research Database (Denmark)

    Perch-Nielsen, Ivan R.; Brivio, Monica; Schaeffer, Eva

    2010-01-01

    and treatment. In this paper, we described a total integrated BIOLABCHIP namely SMART-BioMEMS for rapid detection and identification SNPs of Kirsten-RAS (K-ras) and TP53 genes in cancer. The SMART-BioMEMS system consist of different components: An optical readout system, disposable biochip; and a reusable...... mutation is a hallmark of many tumors. Importantly, most anticancer agents act by inducing apoptosis and, typically, p53- deficient tumors are more resistant to drug-induced apoptosis than those carrying wild-type p53. It is therefore important to analyze such SNPs and point mutation in cancer diagnosis...... actuators chip that can perform all the steps from sample preparation, DNA isolation and purification, PCR amplification, Enzymatic clean up, mini-sequencing and SNP detection. The prototype of the SmartBIOMEMS system designs, detail of different components and functions will be present and discusses...

  6. Identification of a sex-linked SNP marker in the salmon louse (Lepeophtheirus salmonis using RAD sequencing.

    Directory of Open Access Journals (Sweden)

    Stephen N Carmichael

    Full Text Available The salmon louse (Lepeophtheirus salmonis (Krøyer, 1837 is a parasitic copepod that can, if untreated, cause considerable damage to Atlantic salmon (Salmo salar Linnaeus, 1758 and incurs significant costs to the Atlantic salmon mariculture industry. Salmon lice are gonochoristic and normally show sex ratios close to 1:1. While this observation suggests that sex determination in salmon lice is genetic, with only minor environmental influences, the mechanism of sex determination in the salmon louse is unknown. This paper describes the identification of a sex-linked Single Nucleotide Polymorphism (SNP marker, providing the first evidence for a genetic mechanism of sex determination in the salmon louse. Restriction site-associated DNA sequencing (RAD-seq was used to isolate SNP markers in a laboratory-maintained salmon louse strain. A total of 85 million raw Illumina 100 base paired-end reads produced 281,838 unique RAD-tags across 24 unrelated individuals. RAD marker Lsa101901 showed complete association with phenotypic sex for all individuals analysed, being heterozygous in females and homozygous in males. Using an allele-specific PCR assay for genotyping, this SNP association pattern was further confirmed for three unrelated salmon louse strains, displaying complete association with phenotypic sex in a total of 96 genotyped individuals. The marker Lsa101901 was located in the coding region of the prohibitin-2 gene, which showed a sex-dependent differential expression, with mRNA levels determined by RT-qPCR about 1.8-fold higher in adult female than adult male salmon lice. This study's observations of a novel sex-linked SNP marker are consistent with sex determination in the salmon louse being genetic and following a female heterozygous system. Marker Lsa101901 provides a tool to determine the genetic sex of salmon lice, and could be useful in the development of control strategies.

  7. GACT: a Genome build and Allele definition Conversion Tool for SNP imputation and meta-analysis in genetic association studies.

    Science.gov (United States)

    Sulovari, Arvis; Li, Dawei

    2014-07-19

    Genome-wide association studies (GWAS) have successfully identified genes associated with complex human diseases. Although much of the heritability remains unexplained, combining single nucleotide polymorphism (SNP) genotypes from multiple studies for meta-analysis will increase the statistical power to identify new disease-associated variants. Meta-analysis requires same allele definition (nomenclature) and genome build among individual studies. Similarly, imputation, commonly-used prior to meta-analysis, requires the same consistency. However, the genotypes from various GWAS are generated using different genotyping platforms, arrays or SNP-calling approaches, resulting in use of different genome builds and allele definitions. Incorrect assumptions of identical allele definition among combined GWAS lead to a large portion of discarded genotypes or incorrect association findings. There is no published tool that predicts and converts among all major allele definitions. In this study, we have developed a tool, GACT, which stands for Genome build and Allele definition Conversion Tool, that predicts and inter-converts between any of the common SNP allele definitions and between the major genome builds. In addition, we assessed several factors that may affect imputation quality, and our results indicated that inclusion of singletons in the reference had detrimental effects while ambiguous SNPs had no measurable effect. Unexpectedly, exclusion of genotypes with missing rate > 0.001 (40% of study SNPs) showed no significant decrease of imputation quality (even significantly higher when compared to the imputation with singletons in the reference), especially for rare SNPs. GACT is a new, powerful, and user-friendly tool with both command-line and interactive online versions that can accurately predict, and convert between any of the common allele definitions and between genome builds for genome-wide meta-analysis and imputation of genotypes from SNP-arrays or deep

  8. A Novel Teaching-Learning-Based Optimization for Improved Mutagenic Primer Design in Mismatch PCR-RFLP SNP Genotyping.

    Science.gov (United States)

    Cheng, Yu-Huei

    2016-01-01

    Many single nucleotide polymorphisms (SNPs) for complex genetic diseases are genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) in small-scale basic research studies. It is an essential work to design feasible PCR-RFLP primer pair and find out available restriction enzymes to recognize the target SNP for PCR experiments. However, many SNPs are incapable of performing PCR-RFLP makes SNP genotyping become unpractical. A genetic algorithm (GA) had been proposed for designing mutagenic primer and get available restriction enzymes, but it gives an unrefined solution in mutagenic primers. In order to improve the mutagenic primer design, we propose TLBOMPD (TLBO-based Mutagenic Primer Design) a novel computational intelligence-based method that uses the notion of "teaching and learning" to search for more feasible mutagenic primers and provide the latest available restriction enzymes. The original Wallace's formula for the calculation of melting temperature is maintained, and more accurate calculation formulas of GC-based melting temperature and thermodynamic melting temperature are introduced into the proposed method. Mutagenic matrix is also reserved to increase the efficiency of judging a hypothetical mutagenic primer if involve available restriction enzymes for recognizing the target SNP. Furthermore, the core of SNP-RFLPing version 2 is used to enhance the mining work for restriction enzymes based on the latest REBASE. Twenty-five SNPs with mismatch PCR-RFLP screened from 288 SNPs in human SLC6A4 gene are used to appraise the TLBOMPD. Also, the computational results are compared with those of the GAMPD. In the future, the usage of the mutagenic primers in the wet lab needs to been validated carefully to increase the reliability of the method. The TLBOMPD is implemented in JAVA and it is freely available at http://tlbompd.googlecode.com/.

  9. A 'golden' SNP in CmOr governs the fruit flesh color of melon (Cucumis melo).

    Science.gov (United States)

    Tzuri, Galil; Zhou, Xiangjun; Chayut, Noam; Yuan, Hui; Portnoy, Vitaly; Meir, Ayala; Sa'ar, Uzi; Baumkoler, Fabian; Mazourek, Michael; Lewinsohn, Efraim; Fei, Zhangjun; Schaffer, Arthur A; Li, Li; Burger, Joseph; Katzir, Nurit; Tadmor, Yaakov

    2015-04-01

    The flesh color of Cucumis melo (melon) is genetically determined, and can be white, light green or orange, with β-carotene being the predominant pigment. We associated carotenoid accumulation in melon fruit flesh with polymorphism within CmOr, a homolog of the cauliflower BoOr gene, and identified CmOr as the previously described gf locus in melon. CmOr was found to co-segregate with fruit flesh color, and presented two haplotypes (alleles) in a broad germplasm collection, one being associated with orange flesh and the second being associated with either white or green flesh. Allelic variation of CmOr does not affect its transcription or protein level. The variation also does not affect its plastid subcellular localization. Among the identified single nucleotide polymorphisms (SNPs) between CmOr alleles in orange versus green/white-flesh fruit, a single SNP causes a change of an evolutionarily highly conserved arginine to histidine in the CmOr protein. Functional analysis of CmOr haplotypes in an Arabidopsis callus system confirmed the ability of the CmOr orange haplotype to induce β-carotene accumulation. Site-directed mutagenesis of the CmOr green/white haplotype to change the CmOR arginine to histidine triggered β-carotene accumulation. The identification of the 'golden' SNP in CmOr, which is responsible for the non-orange and orange melon fruit phenotypes, provides new tools for studying the Or mechanism of action, and suggests genome editing of the Or gene for nutritional biofortification of crops.

  10. SNP discovery and genetic mapping of T-DNA insertional mutants in Fragaria vesca L.

    Science.gov (United States)

    Ruiz-Rojas, J J; Sargent, D J; Shulaev, V; Dickerman, A W; Pattison, J; Holt, S H; Ciordia, A; Veilleux, Richard E

    2010-08-01

    As part of a program to develop forward and reverse genetics platforms in the diploid strawberry [Fragaria vesca L.; (2n = 2x = 14)] we have generated insertional mutant lines by T-DNA mutagenesis using pCAMBIA vectors. To characterize the T-DNA insertion sites of a population of 108 unique single copy mutants, we utilized thermal asymmetric interlaced PCR (hiTAIL-PCR) to amplify the flanking region surrounding either the left or right border of the T-DNA. Bioinformatics analysis of flanking sequences revealed little preference for insertion site with regard to G/C content; left borders tended to retain more of the plasmid backbone than right borders. Primers were developed from F. vesca flanking sequences to attempt to amplify products from both parents of the reference F. vesca 815 x F. bucharica 601 mapping population. Polymorphism occurred as: presence/absence of an amplification product for 16 primer pairs and different size products for 12 primer pairs, For 46 mutants, where polymorphism was not found by PCR, the amplification products were sequenced to reveal SNP polymorphism. A cleaved amplified polymorphic sequence/derived cleaved amplified polymorphism sequence (CAPS/dCAPS) strategy was then applied to find restriction endonuclease recognition sites in one of the parental lines to map the SNP position of 74 of the T-DNA insertion lines. BLAST search of flanking regions against GenBank revealed that 46 of 108 flanking sequences were close to presumed strawberry genes related to annotated genes from other plants.

  11. SNP genotyping using TaqMan technology: the CYP2D6*17 assay conundrum.

    Science.gov (United States)

    Gaedigk, Andrea; Freeman, Natalie; Hartshorne, Toinette; Riffel, Amanda K; Irwin, David; Bishop, Jeffrey R; Stein, Mark A; Newcorn, Jeffrey H; Jaime, Lazara Karelia Montané; Cherner, Mariana; Leeder, J Steven

    2015-03-19

    CYP2D6 contributes to the metabolism of many clinically used drugs and is increasingly tested to individualize drug therapy. The CYP2D6 gene is challenging to genotype due to the highly complex nature of its gene locus. TaqMan technology is widely used in the clinical and research settings for genotype analysis due to assay reliability, low cost, and the availability of commercially available assays. The assay identifying 1023C>T (rs28371706) defining a reduced function (CYP2D6*17) and several nonfunctional alleles, produced a small number of unexpected diplotype calls in three independent sets of samples, i.e. calls suggested the presence of a CYP2D6*4 subvariant containing 1023C>T. Gene resequencing did not reveal any unknown SNPs in the primer or probe binding sites in any of the samples, but all affected samples featured a trio of SNPs on their CYP2D6*4 allele between one of the PCR primer and probe binding sites. While the phenomenon was ultimately overcome by an alternate assay utilizing a PCR primer excluding the SNP trio, the mechanism causing this phenomenon remains elusive. This rare and unexpected event underscores the importance of assay validation in samples representing a variety of genotypes, but also vigilance of assay performance in highly polymorphic genes such as CYP2D6.

  12. 膀胱移行细胞癌CDH1基因启动子C/A单核苷酸多态性与其蛋白表达关系的研究%Relationship between C/A SNP of CDH1 gene promoter and expression of CDH1 protein in transitional cell carcinoma of the bladder

    Institute of Scientific and Technical Information of China (English)

    阮黎; 张旭; 马鑫; 李功成; 黄皓; 张军; 付斌

    2005-01-01

    目的探讨膀胱移行细胞癌(BTCC)中E-钙粘连素(CDH1)基因启动子-160处C/A单核苷酸多态性(SNP)与CDH1表达的关系.方法BTCC患者36例,男24例,女12例,分别取血液和膀胱肿瘤组织标本.对照组36例,为非肿瘤患者,男30例,女6例,取膀胱组织标本.PCR-限制性片段长度多态性分析法检测血液标本中CDH1基因启动子上游-160处C/A SNP.免疫组化方法检测组织CDH1的表达情况.比较2组组织CDH1表达情况,分析BTCC组C/A SNP与CDH1表达的关系.结果BTCC组和对照组CDH1阳性率分别为61%(22/36)和86%(31/36),P<0.05.BTCC组14例CDH1表达阴性者中,AA基因型8例、AC型3例、CC型3例,A等位基因频率为68%(19/28);22例CDH1表达阳性者中,AA型3例、AC型11例、CC型8例,A等位基因频率为39%(17/44);2组中AA基因型发生率与AC、CC基因型比较差异均有统计学意义(P<0.05),A等位基因频率比较差异有统计学意义(P<0.05).结论CDH1基因启动子-160处C/A SNP在TBCC的CDH1表达过程中可能具有重要作用,A等位基因对CDH1表达下调可能发挥主要作用.

  13. Identification of Risk Pathways and Functional Modules for Coronary Artery Disease Based on Genome-wide SNP Data

    Directory of Open Access Journals (Sweden)

    Xiang Zhao

    2016-12-01

    Full Text Available Coronary artery disease (CAD is a complex human disease, involving multiple genes and their nonlinear interactions, which often act in a modular fashion. Genome-wide single nucleotide polymorphism (SNP profiling provides an effective technique to unravel these underlying genetic interplays or their functional involvements for CAD. This study aimed to identify the susceptible pathways and modules for CAD based on SNP omics. First, the Wellcome Trust Case Control Consortium (WTCCC SNP datasets of CAD and control samples were used to assess the joint effect of multiple genetic variants at the pathway level, using logistic kernel machine regression model. Then, an expanded genetic network was constructed by integrating statistical gene–gene interactions involved in these susceptible pathways with their protein–protein interaction (PPI knowledge. Finally, risk functional modules were identified by decomposition of the network. Of 276 KEGG pathways analyzed, 6 pathways were found to have a significant effect on CAD. Other than glycerolipid metabolism, glycosaminoglycan biosynthesis, and cardiac muscle contraction pathways, three pathways related to other diseases were also revealed, including Alzheimer’s disease, non-alcoholic fatty liver disease, and Huntington’s disease. A genetic epistatic network of 95 genes was further constructed using the abovementioned integrative approach. Of 10 functional modules derived from the network, 6 have been annotated to phospholipase C activity and cell adhesion molecule binding, which also have known functional involvement in Alzheimer’s disease. These findings indicate an overlap of the underlying molecular mechanisms between CAD and Alzheimer’s disease, thus providing new insights into the molecular basis for CAD and its molecular relationships with other diseases.

  14. Lack of evidence for intermolecular epistatic interactions between adiponectin and resistin gene polymorphisms in Malaysian male subjects

    Directory of Open Access Journals (Sweden)

    Cia-Hin Lau

    2012-01-01

    Full Text Available Epistasis (gene-gene interaction is a ubiquitous component of the genetic architecture of complex traits such as susceptibility to common human diseases. Given the strong negative correlation between circulating adiponectin and resistin levels, the potential intermolecular epistatic interactions between ADIPOQ (SNP+45T > G, SNP+276G > T, SNP+639T > C and SNP+1212A > G and RETN (SNP-420C > G and SNP+299G > A gene polymorphisms in the genetic risk underlying type 2 diabetes (T2DM and metabolic syndrome (MS were assessed. The potential mutual influence of the ADIPOQ and RETN genes on their adipokine levels was also examined. The rare homozygous genotype (risk alleles of SNP-420C > G at the RETN locus tended to be co-inherited together with the common homozygous genotypes (protective alleles of SNP+639T > C and SNP+1212A > G at the ADIPOQ locus. Despite the close structural relationship between the ADIPOQ and RETN genes, there was no evidence of an intermolecular epistatic interaction between these genes. There was also no reciprocal effect of the ADIPOQ and RETN genes on their adipokine levels, i.e., ADIPOQ did not affect resistin levels nor did RETN affect adiponectin levels. The possible influence of the ADIPOQ gene on RETN expression warrants further investigation.

  15. Single nucleotide polymorphism (SNP) detection on a magnetoresistive sensor

    DEFF Research Database (Denmark)

    Rizzi, Giovanni; Østerberg, Frederik Westergaard; Dufva, Martin

    2013-01-01

    We present a magnetoresistive sensor platform for hybridization assays and demonstrate its applicability on single nucleotide polymorphism (SNP) genotyping. The sensor relies on anisotropic magnetoresistance in a new geometry with a local negative reference and uses the magnetic field from...... the sensor bias current to magnetize magnetic beads in the vicinity of the sensor. The method allows for real-time measurements of the specific bead binding to the sensor surface during DNA hybridization and washing. Compared to other magnetic biosensing platforms, our approach eliminates the need...... for external electromagnets and thus allows for miniaturization of the sensor platform....

  16. SNP detection for massively parallel whole-genome resequencing

    DEFF Research Database (Denmark)

    Li, Ruiqiang; Li, Yingrui; Fang, Xiaodong

    2009-01-01

    of this information was integrated into a single quality score for each base under Bayesian theory to measure the accuracy of consensus calling. We tested this methodology using a large-scale human resequencing data set of 36x coverage and assembled a high-quality nonrepetitive consensus sequence for 92......-genome or target region resequencing. Here, we have developed a consensus-calling and SNP-detection method for sequencing-by-synthesis Illumina Genome Analyzer technology. We designed this method by carefully considering the data quality, alignment, and experimental errors common to this technology. All...

  17. SNP8NRG433E1006 NEUREGULIN-1 GENETIC VARIATION IN BATAKS ETHNIC WITH SCHIZOPHRENIA PARANOID AND HEALTHY CONTROL

    Directory of Open Access Journals (Sweden)

    Elmeida Effendy

    2014-05-01

    Full Text Available The neuregulin 1 (NRG1 gene which influences the development of white matter connectivity has been associated with schizophrenia. It influences neuronal migration, synaptogenesis, gliogenesis, neuron-glia communication, myelination, and neurotransmission in the brain and others. NRG1 is located in 8p13, and it is frequently replicated in schizphrenia. SNP8NRG433E1006 gene NRG1 is one of core at risk haplotype of schizphrenia. This study looked forward differences SNP8NRG433E1006 neuregulin 1 between Bataks ethnic with schizophrenia paranoid and Bataks ethnic healthy control. Methods: Batak ethnic with schizophrenia paranoid were recruited and interviewed with semi-structured MINI ICD-X to establish the diagnosis. All the eligible subjects were requested their permission for blood sampling. Healthy Batak ethnic were also recruited by mathcing the age and gender. The blood samples went through DNA isolation, Nested PCR, and DNA sequencing. Results: Ninety three subjects were recruited, but only 74 blood samples were succesfully sequenced. We found three types of polymorphisms, i.e. G/A allele at base pair (bp 76, G/T allele at bp 112, and deletion at bp 110 in Batak ethnic with schizophrenia. There were two kind sequences at bp 113-116 in Batak ethnics, and Batak ethnics with ATCG were at higher risk for having schizophrenia. This study support that NRG1 is a schizophrenia-susceptibility gene.

  18. MirSNP, a database of polymorphisms altering miRNA target sites, identifies miRNA-related SNPs in GWAS SNPs and eQTLs

    Directory of Open Access Journals (Sweden)

    Liu Chenxing

    2012-11-01

    Full Text Available Abstract Background Numerous single nucleotide polymorphisms (SNPs associated with complex diseases have been identified by genome-wide association studies (GWAS and expression quantitative trait loci (eQTLs studies. However, few of these SNPs have explicit biological functions. Recent studies indicated that the SNPs within the 3’UTR regions of susceptibility genes could affect complex traits/diseases by affecting the function of miRNAs. These 3’UTR SNPs are functional candidates and therefore of interest to GWAS and eQTL researchers. Description We developed a publicly available online database, MirSNP (http://cmbi.bjmu.edu.cn/mirsnp, which is a collection of human SNPs in predicted miRNA-mRNA binding sites. We identified 414,510 SNPs that might affect miRNA-mRNA binding. Annotations were added to these SNPs to predict whether a SNP within the target site would decrease/break or enhance/create an miRNA-mRNA binding site. By applying MirSNP database to three brain eQTL data sets, we identified four unreported SNPs (rs3087822, rs13042, rs1058381, and rs1058398, which might affect miRNA binding and thus affect the expression of their host genes in the brain. We also applied the MirSNP database to our GWAS for schizophrenia: seven predicted miRNA-related SNPs (p  Conclusion MirSNP could identify the putative miRNA-related SNPs from GWAS and eQTLs researches and provide the direction for subsequent functional researches.

  19. Genome-wide SNP discovery in walnut with an AGSNP pipeline updated for SNP discovery in allogamous organisms

    Directory of Open Access Journals (Sweden)

    You Frank M

    2012-07-01

    Full Text Available Abstract Background A genome-wide set of single nucleotide polymorphisms (SNPs is a valuable resource in genetic research and breeding and is usually developed by re-sequencing a genome. If a genome sequence is not available, an alternative strategy must be used. We previously reported the development of a pipeline (AGSNP for genome-wide SNP discovery in coding sequences and other single-copy DNA without a complete genome sequence in self-pollinating (autogamous plants. Here we updated this pipeline for SNP discovery in outcrossing (allogamous species and demonstrated its efficacy in SNP discovery in walnut (Juglans regia L.. Results The first step in the original implementation of the AGSNP pipeline was the construction of a reference sequence and the identification of single-copy sequences in it. To identify single-copy sequences, multiple genome equivalents of short SOLiD reads of another individual were mapped to shallow genome coverage of long Sanger or Roche 454 reads making up the reference sequence. The relative depth of SOLiD reads was used to filter out repeated sequences from single-copy sequences in the reference sequence. The second step was a search for SNPs between SOLiD reads and the reference sequence. Polymorphism within the mapped SOLiD reads would have precluded SNP discovery; hence both individuals had to be homozygous. The AGSNP pipeline was updated here for using SOLiD or other type of short reads of a heterozygous individual for these two principal steps. A total of 32.6X walnut genome equivalents of SOLiD reads of vegetatively propagated walnut scion cultivar ‘Chandler’ were mapped to 48,661 ‘Chandler’ bacterial artificial chromosome (BAC end sequences (BESs produced by Sanger sequencing during the construction of a walnut physical map. A total of 22,799 putative SNPs were initially identified. A total of 6,000 Infinium II type SNPs evenly distributed along the walnut physical map were selected for the

  20. Whole genome resequencing of black Angus and Holstein cattle for SNP and CNV discovery

    Directory of Open Access Journals (Sweden)

    Stothard Paul

    2011-11-01

    Full Text Available Abstract Background One of the goals of livestock genomics research is to identify the genetic differences responsible for variation in phenotypic traits, particularly those of economic importance. Characterizing the genetic variation in livestock species is an important step towards linking genes or genomic regions with phenotypes. The completion of the bovine genome sequence and recent advances in DNA sequencing technology allow for in-depth characterization of the genetic variations present in cattle. Here we describe the whole-genome resequencing of two Bos taurus bulls from distinct breeds for the purpose of identifying and annotating novel forms of genetic variation in cattle. Results The genomes of a Black Angus bull and a Holstein bull were sequenced to 22-fold and 19-fold coverage, respectively, using the ABI SOLiD system. Comparisons of the sequences with the Btau4.0 reference assembly yielded 7 million single nucleotide polymorphisms (SNPs, 24% of which were identified in both animals. Of the total SNPs found in Holstein, Black Angus, and in both animals, 81%, 81%, and 75% respectively are novel. In-depth annotations of the data identified more than 16 thousand distinct non-synonymous SNPs (85% novel between the two datasets. Alignments between the SNP-altered proteins and orthologues from numerous species indicate that many of the SNPs alter well-conserved amino acids. Several SNPs predicted to create or remove stop codons were also found. A comparison between the sequencing SNPs and genotyping results from the BovineHD high-density genotyping chip indicates a detection rate of 91% for homozygous SNPs and 81% for heterozygous SNPs. The false positive rate is estimated to be about 2% for both the Black Angus and Holstein SNP sets, based on follow-up genotyping of 422 and 427 SNPs, respectively. Comparisons of read depth between the two bulls along the reference assembly identified 790 putative copy-number variations (CNVs. Ten

  1. Lifetime Measurement for 6snp Rydberg States of Barium

    Institute of Scientific and Technical Information of China (English)

    SHEN Li; WANG Lei; YANG Hai-Feng; LIU Xiao-Jun; LIU Hong-Ping

    2011-01-01

    @@ We present a simple and efficient method for measuring the atomic lifetimes in order of tens of microseconds and demonstrate it in the lifetime determination of barium Rydberg states.This method extracts the lifetime information from the time-of-flight spectrum directly, which is much more efficient than other methods such as the time-delayed field ionization and the traditional laser induced fluorescence.The lifetimes determined with our method for barium Rydberg 6snp(n=37-59)series are well coincident with the values deduced from the absolute oscillator strengths of barium which were given in the literature [J.Phys.B 14(1981)4489, 29(1996)655]on experiments.%We present a simple and efficient method for measuring the atomic lifetimes in order of tens of microseconds and demonstrate it in the lifetime determination of barium Rydberg states. This method extracts the lifetime information from the time-of-flight spectrum directly, which is much more efficient than other methods such as the time-delayed field ionization and the traditional laser induced fluorescence. The lifetimes determined with our method for barium Rydberg 6snp (n=37-59) series are well coincident with the values deduced from the absolute oscillator strengths of barium which were given in the literature [J. Phys. B 14 (1981) 4489, 29 (1996) 655] onexperiments.

  2. Fine-scaled human genetic structure revealed by SNP microarrays.

    Science.gov (United States)

    Xing, Jinchuan; Watkins, W Scott; Witherspoon, David J; Zhang, Yuhua; Guthery, Stephen L; Thara, Rangaswamy; Mowry, Bryan J; Bulayeva, Kazima; Weiss, Robert B; Jorde, Lynn B

    2009-05-01

    We report an analysis of more than 240,000 loci genotyped using the Affymetrix SNP microarray in 554 individuals from 27 worldwide populations in Africa, Asia, and Europe. To provide a more extensive and complete sampling of human genetic variation, we have included caste and tribal samples from two states in South India, Daghestanis from eastern Europe, and the Iban from Malaysia. Consistent with observations made by Charles Darwin, our results highlight shared variation among human populations and demonstrate that much genetic variation is geographically continuous. At the same time, principal components analyses reveal discernible genetic differentiation among almost all identified populations in our sample, and in most cases, individuals can be clearly assigned to defined populations on the basis of SNP genotypes. All individuals are accurately classified into continental groups using a model-based clustering algorithm, but between closely related populations, genetic and self-classifications conflict for some individuals. The 250K data permitted high-level resolution of genetic variation among Indian caste and tribal populations and between highland and lowland Daghestani populations. In particular, upper-caste individuals from Tamil Nadu and Andhra Pradesh form one defined group, lower-caste individuals from these two states form another, and the tribal Irula samples form a third. Our results emphasize the correlation of genetic and geographic distances and highlight other elements, including social factors that have contributed to population structure.

  3. 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.

  4. [Association of new functional SNP rs72689236 of CASP3 with Kawasaki disease: a meta-analysis].

    Science.gov (United States)

    Peng, Qian; Chen, Chang-Hui; Wu, Qing; Yang, Yuan

    2013-06-01

    To investigate the association of rs72689236, a new functional single nucleotide polymorphism (SNP) of the gene encoding caspase-3 (CASP3), with the occurrence and development of Kawasaki disease by a meta analysis. A literature search was performed using databases at home and abroad according to inclusion and exclusion criteria, to acquire studies on the relationship between rs72689236 and Kawasaki disease published up to November 2012, including case-control studies and transmission disequilibrium tests. An integrated meta analysis was performed using RevMan 5.1 software after the studies were screened and evaluated. Six studies were extracted for systematic review of the association between rs72689236 and Kawasaki disease. The frequency of allele A of the SNP was significantly higher in patients with Kawasaki disease than in the controls (OR=1.34, 95%CI=1.24-1.46, PKawasaki disease in children with allele A (AA+AG) increased by approximately 44% compared with children with GG (OR=1.44, 95%CI=1.27-1.65, PKawasaki disease patients with coronary artery lesions than in those without coronary artery lesions (OR=1.51, 95%CI=1.10-2.07, P= 0.01); the risk for coronary artery lesions in Kawasaki disease patients with allele A (AA+AG) increased by approximately 59% compared with Kawasaki disease patients with GG (OR=1.59, 95%CI= 1.00-2.53, P=0.05]. No association between this SNP and the therapeutic effect of intravenous immunoglobulin (IVIG) was found in patients with Kawasaki disease. The allele A of functional SNP rs72689236 of CASP3 increases the risk for Kawasaki disease, and it may be used as the genetic marker for susceptibility to coronary artery lesions as a complication of Kawasaki disease. Currently, there is still no sufficient evidence that this SNP has an impact on the therapeutic effect of IVIG in patients with Kawasaki disease, and more studies are needed to investigate the feasibility of its application in individualized treatment.

  5. SNP loci detection method based on HBV sequence%一种基于HBV序列的SNP位点检测方法研究

    Institute of Scientific and Technical Information of China (English)

    张琪; 刘立芳; 马磊; 贺建峰

    2014-01-01

    乙型肝炎病毒(Hepatitis B Virus,HBV)感染作为严重影响人类健康的疾病之一,是导致慢性肝脏疾病、肝硬化和肝癌的主要元凶。HBV由于其自身复制的特殊性,具有高变异特性,据研究表明HBV基因变异是HBV持续感染的根本原因。为了了解HBV的基因变异情况,检测HBV序列的SNP位点即单突变位点已广泛应用于大量的研究,所检测出的SNP位点对指导临床有重要意义。但是目前关于SNP位点检测的方法多因技术难度较高,费用大等不利因素而受到制约。因此,探讨一种基于计算机的SNP位点检测方法成为一种趋势。针对HBV序列的 SNP位点的特点,提出了一种基于最优风险与预防模型的HBV序列的SNP位点检测方法。方法首次应用于HBV序列的SNP位点检测,实验结果表明:该方法不仅有效地检测出HBV序列的X基因片段和前C区基因片段中已经报道的位点,而且还发现了一些新的SNP位点。与硬件检测SNP位点不同的是,所提出的计算机方法具有操作简单和费用低的优点,而且普通实验室和医疗机构均可以承受。%As one of the severe diseases, HBV(Hepatitis B Virus)infection is seriously affecting human health. This kind of virus infection is the main reason that leads to chronic liver disease, cirrhosis and liver cancer. Due to the particularity of HBV replication and high variability characteristics, related studies have revealed that the HBV gene mutation is the basic reason of persistent HBV infection. In order to understand the genetic variation of HBV, the SNP detection from HBV sequences has been widely applied in the large number of research, the detected SNP loci may contain great clinical significance. However, currently, the SNP loci detection methods are restricted by some negative factors, such as high technical difficulty, high expense and so on. Therefore, to explore a computer-based method for SNP loci

  6. JAM: A Scalable Bayesian Framework for Joint Analysis of Marginal SNP Effects.

    Science.gov (United States)

    Newcombe, Paul J; Conti, David V; Richardson, Sylvia

    2016-04-01

    Recently, large scale genome-wide association study (GWAS) meta-analyses have boosted the number of known signals for some traits into the tens and hundreds. Typically, however, variants are only analysed one-at-a-time. This complicates the ability of fine-mapping to identify a small set of SNPs for further functional follow-up. We describe a new and scalable algorithm, joint analysis of marginal summary statistics (JAM), for the re-analysis of published marginal summary statistics under joint multi-SNP models. The correlation is accounted for according to estimates from a reference dataset, and models and SNPs that best explain the complete joint pattern of marginal effects are highlighted via an integrated Bayesian penalized regression framework. We provide both enumerated and Reversible Jump MCMC implementations of JAM and present some comparisons of performance. In a series of realistic simulation studies, JAM demonstrated identical performance to various alternatives designed for single region settings. In multi-region settings, where the only multivariate alternative involves stepwise selection, JAM offered greater power and specificity. We also present an application to real published results from MAGIC (meta-analysis of glucose and insulin related traits consortium) - a GWAS meta-analysis of more than 15,000 people. We re-analysed several genomic regions that produced multiple significant signals with glucose levels 2 hr after oral stimulation. Through joint multivariate modelling, JAM was able to formally rule out many SNPs, and for one gene, ADCY5, suggests that an additional SNP, which transpired to be more biologically plausible, should be followed up with equal priority to the reported index.

  7. Multi-SNP Analysis of GWAS Data Identifies Pathways Associated with Nonalcoholic Fatty Liver Disease

    Science.gov (United States)

    Chen, Qing-Rong; Braun, Rosemary; Hu, Ying; Yan, Chunhua; Brunt, Elizabeth M.; Meerzaman, Daoud

    2013-01-01

    Non-alcoholic fatty liver disease (NAFLD) is a common liver disease; the histological spectrum of which ranges from steatosis to steatohepatitis. Nonalcoholic steatohepatitis (NASH) often leads to cirrhosis and development of hepatocellular carcinoma. To better understand pathogenesis of NAFLD, we performed the pathway of distinction analysis (PoDA) on a genome-wide association study dataset of 250 non-Hispanic white female adult patients with NAFLD, who were enrolled in the NASH Clinical Research Network (CRN) Database Study, to investigate whether biologic process variation measured through genomic variation of genes within these pathways was related to the development of steatohepatitis or cirrhosis. Pathways such as Recycling of eIF2:GDP, biosynthesis of steroids, Terpenoid biosynthesis and Cholesterol biosynthesis were found to be significantly associated with NASH. SNP variants in Terpenoid synthesis, Cholesterol biosynthesis and biosynthesis of steroids were associated with lobular inflammation and cytologic ballooning while those in Terpenoid synthesis were also associated with fibrosis and cirrhosis. These were also related to the NAFLD activity score (NAS) which is derived from the histological severity of steatosis, inflammation and ballooning degeneration. Eukaryotic protein translation and recycling of eIF2:GDP related SNP variants were associated with ballooning, steatohepatitis and cirrhosis. Il2 signaling events mediated by PI3K, Mitotic metaphase/anaphase transition, and Prostanoid ligand receptors were also significantly associated with cirrhosis. Taken together, the results provide evidence for additional ways, beyond the effects of single SNPs, by which genetic factors might contribute to the susceptibility to develop a particular phenotype of NAFLD and then progress to cirrhosis. Further studies are warranted to explain potential important genetic roles of these biological processes in NAFLD. PMID:23894275

  8. The impact of obesity-related SNP on appetite and energy intake.

    Science.gov (United States)

    Dougkas, Anestis; Yaqoob, Parveen; Givens, D Ian; Reynolds, Christopher K; Minihane, Anne M

    2013-09-28

    An increasing number of studies have reported a heritable component for the regulation of energy intake and eating behaviour, although the individual polymorphisms and their ‘effect size’ are not fully elucidated. The aim of the present study was to examine the relationship between specific SNP and appetite responses and energy intake in overweight men. In a randomised cross-over trial, forty overweight men (age 32 (sd 09) years; BMI 27 (sd 2) kg/m2) attended four sessions 1 week apart and received three isoenergetic and isovolumetric servings of dairy snacks or water (control) in random order. Appetite ratings were determined using visual analogue scales and energy intake at an ad libitum lunch was assessed 90 min after the dairy snacks. Individuals were genotyped for SNP in the fat mass and obesity-associated (FTO), leptin (LEP), leptin receptor (LEPR) genes and a variant near the melanocortin-4 receptor (MC4R) locus. The postprandial fullness rating over the full experiment following intake of the different snacks was 17·2 % (P= 0·026) lower in A carriers compared with TT homozygotes for rs9939609 (FTO, dominant) and 18·6 % (P= 0·020) lower in G carriers compared with AA homozygotes for rs7799039 (LEP, dominant). These observations indicate that FTO and LEP polymorphisms are related to the variation in the feeling of fullness and may play a role in the regulation of food intake. Further studies are required to confirm these initial observations and investigate the ‘penetrance’ of these genotypes in additional population subgroups.

  9. SNP typing for germplasm identification of Amomum villosum Lour. Based on DNA barcoding markers.

    Directory of Open Access Journals (Sweden)

    Qionglin Huang

    Full Text Available Amomum villosum Lour., produced from Yangchun, Guangdong Province, China, is a Daodi medicinal material of Amomi Fructus in traditional Chinese medicine. This herb germplasm should be accurately identified and collected to ensure its quality and safety in medication. In the present study, single nucleotide polymorphism typing method was evaluated on the basis of DNA barcoding markers to identify the germplasm of Amomi Fructus. Genomic DNA was extracted from the leaves of 29 landraces representing three Amomum species (A. villosum Lour., A. xanthioides Wall. ex Baker and A. longiligulare T. L. Wu by using the CTAB method. Six barcoding markers (ITS, ITS2, LSU D1-D3, matK, rbcL and trnH-psbA were PCR amplified and sequenced; SNP typing and phylogenetic analysis were performed to differentiate the landraces. Results showed that high-quality bidirectional sequences were acquired for five candidate regions (ITS, ITS2, LSU D1-D3, matK, and rbcL except trnH-psbA. Three ribosomal regions, namely, ITS, ITS2, and LSU D1-D3, contained more SNP genotypes (STs than the plastid genes rbcL and matK. In the 29 specimens, 19 STs were detected from the combination of four regions (ITS, LSU D1-D3, rbcL, and matK. Phylogenetic analysis results further revealed two clades. Minimum-spanning tree demonstrated the existence of two main groups: group I was consisting of 9 STs (ST1-8 and ST11 of A. villosum Lour., and group II was composed of 3 STs (ST16-18 of A. longiligulare T.L. Wu. Our results suggested that ITS and LSU D1-D3 should be incorporated with the core barcodes rbcL and matK. The four combined regions could be used as a multiregional DNA barcode to precisely differentiate the Amomi Fructus landraces in different producing areas.

  10. Radial basis function regression methods for predicting quantitative traits using SNP markers.

    Science.gov (United States)

    Long, Nanye; Gianola, Daniel; Rosa, Guilherme J M; Weigel, Kent A; Kranis, Andreas; González-Recio, Oscar

    2010-06-01

    A challenge when predicting total genetic values for complex quantitative traits is that an unknown number of quantitative trait loci may affect phenotypes via cryptic interactions. If markers are available, assuming that their effects on phenotypes are additive may lead to poor predictive ability. Non-parametric radial basis function (RBF) regression, which does not assume a particular form of the genotype-phenotype relationship, was investigated here by simulation and analysis of body weight and food conversion rate data in broilers. The simulation included a toy example in which an arbitrary non-linear genotype-phenotype relationship was assumed, and five different scenarios representing different broad sense heritability levels (0.1, 0.25, 0.5, 0.75 and 0.9) were created. In addition, a whole genome simulation was carried out, in which three different gene action modes (pure additive, additive+dominance and pure epistasis) were considered. In all analyses, a training set was used to fit the model and a testing set was used to evaluate predictive performance. The latter was measured by correlation and predictive mean-squared error (PMSE) on the testing data. For comparison, a linear additive model known as Bayes A was used as benchmark. Two RBF models with single nucleotide polymorphism (SNP)-specific (RBF I) and common (RBF II) weights were examined. Results indicated that, in the presence of complex genotype-phenotype relationships (i.e. non-linearity and non-additivity), RBF outperformed Bayes A in predicting total genetic values using SNP markers. Extension of Bayes A to include all additive, dominance and epistatic effects could improve its prediction accuracy. RBF I was generally better than RBF II, and was able to identify relevant SNPs in the toy example.

  11. Polymorphism Analysis of the SNP in Sheep TCF7 Gene Enhancer Region among Three Extremely Different Fat-tail Sheep Breeds%TCF7基因增强子区域一处SNP在三尾型极端差异的绵羊群体中的多态分析

    Institute of Scientific and Technical Information of China (English)

    杨井泉; 宋天增; 张伟; 高磊; 刘守仁; 甘尚权; 王新华

    2015-01-01

    [目的]检测尾型极端差异的阿勒泰羊、湖羊和藏羊三群体中TCF7基因增强子一处SNP是否存在分化现象,从而确定该SNP是否可作为一个有效地筛选脂尾与瘦尾性状的分子标记.[方法]对三品种绵羊286份基因组进行目标SNP片段的扩增,并采用PCR-RFLP方法对以上样本扩增片段进行酶切分型,最后采用卡方检验的方法验证各基因型在各群体中的Hardy-Weinberg平衡性.[结果]高效扩增出所有样本含该SNP DNA扩增,经MfeⅠ酶切分型后共鉴定出了三种基因型(CC、TT和CT),其中CC基因型在瘦尾藏羊群体中的百分比高达80.3%,是脂尾型阿勒泰羊与湖羊的两倍以上.C/T等位基因的比率显示藏羊群体中这一比值分别为其他两种脂尾型绵羊品种的8倍,提示T等位基因可能与脂尾性状相关.[结论]该SNP可作为脂、瘦尾羊选育的一个分子标记.

  12. Association of FTO rs9939609 SNP with Obesity and Obesity- Associated Phenotypes in a North Indian Population

    Directory of Open Access Journals (Sweden)

    Jai Prakash

    2016-03-01

    Full Text Available Objectives: Obesity is a common disorder that has a significant impact on morbidity and mortality. Twin and adoption studies support the genetic influence on variation of obesity, and the estimates of the heritability of body mass index (BMI is significantly high (30 to 70%. Variants in the fat mass and obesity-associated (FTO gene have been associated with obesity and obesity-related phenotypes in different populations. The aim of this study was to examine the association of FTO rs9939609 with obesity and related phenotypes in North Indian subjects.   Methods: Gene variants were investigated for association with obesity in 309 obese and 333 non-obese patients. Genotyping of the FTO rs9939609 single nucleotide polymorphism (SNP was analyzed using Restriction Fragment Length Polymorphism Analysis of PCR-Amplified Fragments. We also measured participants fasting glucose and insulin levels, lipid profile, percentage body fat, fat mass and fat free mass. Results: Waist to hip ratio, systolic blood pressure, diastolic blood pressure, percentage body fat, fat mass, insulin concentration, and homeostasis model assessment index (HOMA-Index showed a significant difference between the study groups. Significant associations were found for FTO rs9939609 SNP with obesity and obesity-related phenotypes. The significant associations were observed between the rs9939609 SNP and blood pressure, fat mass, insulin, and HOMA-index under a different model.   Conclusion: This study presents significant association between FTO rs9939609 and obesity defined by BMI and also established the strong association with several measures of obesity in North Indian population.

  13. The human lactase persistence-associated SNP −13910*T enables in vivo functional persistence of lactase promoter-reporter transgene expression

    OpenAIRE

    Fang, Lin; Ahn, Jong Kun; Wodziak, Dariusz; Sibley, Eric

    2012-01-01

    Lactase is the intestinal enzyme responsible for digestion of the milk sugar lactose. Lactase gene expression declines dramatically upon weaning in mammals and during early childhood in humans (lactase nonpersistence). In various ethnic groups, however, lactase persists in high levels throughout adulthood (lactase persistence). Genetic association studies have identified that lactase persistence in Northern Europeans is strongly associated with a single nucleotide polymorphism (SNP) located 1...

  14. Detection of genomic signatures for pig hairlessness using high-density SNP data

    Directory of Open Access Journals (Sweden)

    Ying SU,Yi LONG,Xinjun LIAO,Huashui AI,Zhiyan ZHANG,Bin YANG,Shijun XIAO,Jianhong TANG,Wenshui XIN,Lusheng HUANG,Jun REN,Nengshui DING

    2014-12-01

    Full Text Available Hair provides thermal regulation for mammals and protects the skin from wounds, bites and ultraviolet (UV radiation, and is important in adaptation to volatile environments. Pigs in nature are divided into hairy and hairless, which provide a good model for deciphering the molecular mechanisms of hairlessness. We conducted a genomic scan for genetically differentiated regions between hairy and hairless pigs using 60K SNP data, with the aim to better understand the genetic basis for the hairless phenotype in pigs. A total of 38405 SNPs in 498 animals from 36 diverse breeds were used to detect genomic signatures for pig hairlessness by estimating between-population (FST values. Seven diversifying signatures between Yucatan hairless pig and hairy pigs were identified on pig chromosomes (SSC 1, 3, 7, 8, 10, 11 and 16, and the biological functions of two notable genes, RGS17 and RB1, were revealed. When Mexican hairless pigs were contrasted with hairypigs, strong signatures were detected on SSC1 and SSC10, which harbor two functionally plausible genes, REV3L and BAMBI. KEGG pathway analysis showed a subset of overrepresented genes involved in the T cell receptor signaling pathway, MAPK signaling pathway and the tight junction pathways. All of these pathways may be important in local adaptability of hairless pigs. The potential mechanisms underlying the hairless phenotype in pigs are reported for the first time. RB1 and BAMBI are interesting candidate genes for the hairless phenotype in Yucatan hairless and Mexico hairless pigs, respectively. RGS17, REV3L, ICOS and RASGRP1 as well as other genes involved in the MAPK and T cell receptor signaling pathways may be important in environmental adaption by improved tolerance to UV damage in hairless pigs. These findings improve our understanding of the genetic basis for inherited hairlessness in pigs.

  15. A trans-species missense SNP in Amhr2 is associated with sex determination in the tiger pufferfish, Takifugu rubripes (fugu.

    Directory of Open Access Journals (Sweden)

    Takashi Kamiya

    Full Text Available Heterogametic sex chromosomes have evolved independently in various lineages of vertebrates. Such sex chromosome pairs often contain nonrecombining regions, with one of the chromosomes harboring a master sex-determining (SD gene. It is hypothesized that these sex chromosomes evolved from a pair of autosomes that diverged after acquiring the SD gene. By linkage and association mapping of the SD locus in fugu (Takifugu rubripes, we show that a SNP (C/G in the anti-Müllerian hormone receptor type II (Amhr2 gene is the only polymorphism associated with phenotypic sex. This SNP changes an amino acid (His/Asp384 in the kinase domain. While females are homozygous (His/His384, males are heterozygous. Sex in fugu is most likely determined by a combination of the two alleles of Amhr2. Consistent with this model, the medaka hotei mutant carrying a substitution in the kinase domain of Amhr2 causes a female phenotype. The association of the Amhr2 SNP with phenotypic sex is conserved in two other species of Takifugu but not in Tetraodon. The fugu SD locus shows no sign of recombination suppression between X and Y chromosomes. Thus, fugu sex chromosomes represent an unusual example of proto-sex chromosomes. Such undifferentiated X-Y chromosomes may be more common in vertebrates than previously thought.

  16. Variation in genes involved in epigenetic processes offers insights into tropically adapted cattle diversity

    Directory of Open Access Journals (Sweden)

    Laercio R Porto-Neto

    2014-04-01

    Full Text Available We evaluated the relevance of the BovineHD Illumina SNP chip with respect to genes involved in epigenetic processes. Genotypes for 729,068 SNP on two tropical cattle breeds of Australia were used: Brahman (n = 2,112 and Tropical Composite (n = 2,550. We used data mining approaches to compile a list of bovine protein-coding genes involved in epigenetic processes. These genes represent 9 functional categories that contain between one (histone demethylases and 99 (chromatin remodelling factors genes. A total of 3,091 SNP mapped to positions within 3,000 bp of the 193 coding regions of those genes, including 113 SNP in transcribed regions, 2,738 in intronic regions and 240 in up- or down-stream regions. For all these SNP categories, we observed differences in the allelic frequencies between Brahman and Tropical Composite cattle. These differences were larger than those observed for the entire set of 729,068 SNP (P = 1.79 x 10-5. A multidimensional scaling analysis using only the 113 SNP in transcribed regions allowed for the separation of the two populations and this separation was comparable to the one obtained with a random set of 113 SNP (Principal Component 1 r2 > 0.84. To further characterise the differences between the breeds we defined a gene-differentiation metric based on the average genotypic frequencies of SNP connected to each gene and compared both cattle populations. The 10% most differentiated genes were distributed across 10 chromosomes, with significant (P < 0.05 enrichment on BTA 3 and 10. The 10% most conserved genes were located in 12 chromosomes. We conclude that there is variation between cattle populations in genes connected to epigenetic processes, and this variation can be used to differentiate cattle breeds. More research is needed to fully characterise the use of these SNP and its potential as means to further our understanding of biological variation and epigenetic processes.

  17. Variation in genes involved in epigenetic processes offers insights into tropically adapted cattle diversity

    Science.gov (United States)

    Porto-Neto, Laercio R.; Fortes, Marina R. S.; McWilliam, Sean M.; Lehnert, Sigrid A.; Reverter, Antonio

    2014-01-01

    We evaluated the relevance of the BovineHD Illumina SNP chip with respect to genes involved in epigenetic processes. Genotypes for 729,068 SNP on two tropical cattle breeds of Australia were used: Brahman (n = 2112) and Tropical Composite (n = 2550). We used data mining approaches to compile a list of bovine protein-coding genes involved in epigenetic processes. These genes represent 9 functional categories that contain between one (histone demethylases) and 99 (chromatin remodeling factors) genes. A total of 3091 SNP mapped to positions within 3000 bp of the 193 coding regions of those genes, including 113 SNP in transcribed regions, 2738 in intronic regions and 240 in up- or down-stream regions. For all these SNP categories, we observed differences in the allelic frequencies between Brahman and Tropical Composite cattle. These differences were larger than those observed for the entire set of 729,068 SNP (P = 1.79 x 10−5). A multidimensional scaling analysis using only the 113 SNP in transcribed regions allowed for the separation of the two populations and this separation was comparable to the one obtained with a random set of 113 SNP (Principal Component 1 r2 > 0.84). To further characterize the differences between the breeds we defined a gene-differentiation metric based on the average genotypic frequencies of SNP connected to each gene and compared both cattle populations. The 10% most differentiated genes were distributed across 10 chromosomes, with significant (P < 0.05) enrichment on BTA 3 and 10. The 10% most conserved genes were located in 12 chromosomes. We conclude that there is variation between cattle populations in genes connected to epigenetic processes, and this variation can be used to differentiate cattle breeds. More research is needed to fully characterize the use of these SNP and its potential as means to further our understanding of biological variation and epigenetic processes. PMID:24795751

  18. Application of Microarray-Based Method for Functional SNP Genotyping in the Risk of Gastric Carcinoma in Chinese Population

    Institute of Scientific and Technical Information of China (English)

    Song Li; Meiju Ji; Peng Hou; Nongyue He; Hong Chen

    2006-01-01

    High-throughput SNP detection microarrays were used here to explore the relationship between 5,10-methylenetetrahydrofolate reductase (MTHFR) gene polymorphism C677T and the risk of gastric carcinoma among population in Jiangsu region, by genotyping the specimens from 170 patients with gastric carcinoma and 140 age- and sexmatched control subjects. PCR products were spotted onto a 3-aminopropyltriethoxysilane coated glass slide to fabricate a microarray, then interrogated by hybridization with dual-color probes (Cy3, Cy5) to determine the SNP genotype of each sample, and the relation between the genotypes and the risk of gastric carcinoma was analyzed. The frequencies of C677T genotype were CC(47.9%), CT(40%), CT(12.1%) in control group and CC(35.9%), CT(45.9%), TT(18.2%) in gastric carcinoma group, respectively. The individuals with 677CT+TT genotype group or 677TT had a 1.67-fold (95% CI: 1.06-2.64)or 2.67-fold (95% CI: 1.382-5.341) increased risk to develop gastric carcinoma compared with those having 677CC genotype.It was shown that the single nucleotide polymorphisms in the MTHFR gene are associated with the risk of gastric carcinoma in the Chinese population.

  19. Leu/Val SNP polymorphism of CYP1B1 and risk of uterine leiomyoma in a Black population.

    Science.gov (United States)

    Bideau, Virgil S; Alleyne, Angela T

    2016-03-01

    Uterine leiomyoma (UL) is the most commonly occurring benign tumor that affects women of reproductive ages. Studies strongly suggest that ULs are hormonally dependent and that genes acting in estrogen metabolism might be involved in their development. The focus of this case-control study was to determine whether the Leucine432Valine single-nucleotide polymorphism (SNP) in the gene encoding cytochrome P450 1B1 (CYP1B1) was associated with an increased risk of UL in Black Barbadian women. The investigation comprised 37 women clinically diagnosed with UL and 52 controls. The CYP1B1 Leu432Val polymorphism (Leu/Val) was analyzed using the polymerase chain reaction-restriction fragment length polymorphism method. The homozygous Valine432 variant (Val/Val) was predominant in both cases and controls for this population (89 and 83 %, respectively). The odds ratio for risk of developing the disease was 1.33, but this was not statistically significant. We discuss a possible protective function for CYP1B1 based on the high prevalence of this mutant SNP and its lack of association with UL.

  20. Evaluation of the Ion Torrent™ HID SNP 169-plex

    DEFF Research Database (Denmark)

    Børsting, Claus; Fordyce, Sarah L; Olofsson, Jill Katharina;

    2014-01-01

    The Ion Torrent™ HID SNP assay amplified 136 autosomal SNPs and 33 Y-chromosome markers in one PCR and the markers were subsequently typed using the Ion PGM™ second generation sequencing platform. A total of 51 of the autosomal SNPs were selected from the SNPforID panel that is routinely used...... allele balance among samples. These SNPs should be excluded from the panel. The optimal amount of DNA in the PCR seemed to be ≥0.5ng. Allele drop-outs were rare and only seen in experiments with ... of the heterozygote allele balances were between 0.6 and 1.6, which is comparable to the heterozygote balances of STRs typed with PCR-CE. The number of reads with base calls that differed from the genotype call was typically less than five. This allowed detection of 1:100 mixtures with a high degree of certainty...

  1. Weighted Interaction SNP Hub (WISH) network method for building genetic networks for complex diseases and traits using whole genome genotype data.

    Science.gov (United States)

    Kogelman, Lisette J A; Kadarmideen, Haja N

    2014-01-01

    High-throughput genotype (HTG) data has been used primarily in genome-wide association (GWA) studies; however, GWA results explain only a limited part of the complete genetic variation of traits. In systems genetics, network approaches have been shown to be able to identify pathways and their underlying causal genes to unravel the biological and genetic background of complex diseases and traits, e.g., the Weighted Gene Co-expression Network Analysis (WGCNA) method based on microarray gene expression data. The main objective of this study was to develop a scale-free weighted genetic interaction network method using whole genome HTG data in order to detect biologically relevant pathways and potential genetic biomarkers for complex diseases and traits. We developed the Weighted Interaction SNP Hub (WISH) network method that uses HTG data to detect genome-wide interactions between single nucleotide polymorphism (SNPs) and its relationship with complex traits. Data dimensionality reduction was achieved by selecting SNPs based on its: 1) degree of genome-wide significance and 2) degree of genetic variation in a population. Network construction was based on pairwise Pearson's correlation between SNP genotypes or the epistatic interaction effect between SNP pairs. To identify modules the Topological Overlap Measure (TOM) was calculated, reflecting the degree of overlap in shared neighbours between SNP pairs. Modules, clusters of highly interconnected SNPs, were defined using a tree-cutting algorithm on the SNP dendrogram created from the dissimilarity TOM (1-TOM). Modules were selected for functional annotation based on their association with the trait of interest, defined by the Genome-wide Module Association Test (GMAT). We successfully tested the established WISH network method using simulated and real SNP interaction data and GWA study results for carcass weight in a pig resource population; this resulted in detecting modules and key functional and biological pathways

  2. The RNAsnp web server: predicting SNP effects on local RNA secondary structure.

    Science.gov (United States)

    Sabarinathan, Radhakrishnan; Tafer, Hakim; Seemann, Stefan E; Hofacker, Ivo L; Stadler, Peter F; Gorodkin, Jan

    2013-07-01

    The function of many non-coding RNA genes and cis-regulatory elements of messenger RNA largely depends on the structure, which is in turn determined by their sequence. Single nucleotide polymorphisms (SNPs) and other mutations may disrupt the RNA structure, interfere with the molecular function and hence cause a phenotypic effect. RNAsnp is an efficient method to predict the effect of SNPs on local RNA secondary structure based on the RNA folding algorithms implemented in the Vienna RNA package. The SNP effects are quantified in terms of empirical P-values, which, for computational efficiency, are derived from extensive pre-computed tables of distributions of substitution effects as a function of gene length and GC content. Here, we present a web service that not only provides an interface for RNAsnp but also features a graphical output representation. In addition, the web server is connected to a local mirror of the UCSC genome browser database that enables the users to select the genomic sequences for analysis and visualize the results directly in the UCSC genome browser. The RNAsnp web server is freely available at: http://rth.dk/resources/rnasnp/.

  3. Development and application of a novel genome-wide SNP array reveals domestication history in soybean.

    Science.gov (United States)

    Wang, Jiao; Chu, Shanshan; Zhang, Huairen; Zhu, Ying; Cheng, Hao; Yu, Deyue

    2016-02-09

    Domestication of soybeans occurred under the intense human-directed selections aimed at developing high-yielding lines. Tracing the domestication history and identifying the genes underlying soybean domestication require further exploration. Here, we developed a high-throughput NJAU 355 K SoySNP array and used this array to study the genetic variation patterns in 367 soybean accessions, including 105 wild soybeans and 262 cultivated soybeans. The population genetic analysis suggests that cultivated soybeans have tended to originate from northern and central China, from where they spread to other regions, accompanied with a gradual increase in seed weight. Genome-wide scanning for evidence of artificial selection revealed signs of selective sweeps involving genes controlling domestication-related agronomic traits including seed weight. To further identify genomic regions related to seed weight, a genome-wide association study (GWAS) was conducted across multiple environments in wild and cultivated soybeans. As a result, a strong linkage disequilibrium region on chromosome 20 was found to be significantly correlated with seed weight in cultivated soybeans. Collectively, these findings should provide an important basis for genomic-enabled breeding and advance the study of functional genomics in soybean.

  4. Prospective diagnostic analysis of copy number variants using SNP microarrays in individuals with autism spectrum disorders.

    Science.gov (United States)

    Nava, Caroline; Keren, Boris; Mignot, Cyril; Rastetter, Agnès; Chantot-Bastaraud, Sandra; Faudet, Anne; Fonteneau, Eric; Amiet, Claire; Laurent, Claudine; Jacquette, Aurélia; Whalen, Sandra; Afenjar, Alexandra; Périsse, Didier; Doummar, Diane; Dorison, Nathalie; Leboyer, Marion; Siffroi, Jean-Pierre; Cohen, David; Brice, Alexis; Héron, Delphine; Depienne, Christel

    2014-01-01

    Copy number variants (CNVs) have repeatedly been found to cause or predispose to autism spectrum disorders (ASDs). For diagnostic purposes, we screened 194 individuals with ASDs for CNVs using Illumina SNP arrays. In several probands, we also analyzed candidate genes located in inherited deletions to unmask autosomal recessive variants. Three CNVs, a de novo triplication of chromosome 15q11-q12 of paternal origin, a deletion on chromosome 9p24 and a de novo 3q29 deletion, were identified as the cause of the disorder in one individual each. An autosomal recessive cause was considered possible in two patients: a homozygous 1p31.1 deletion encompassing PTGER3 and a deletion of the entire DOCK10 gene associated with a rare hemizygous missense variant. We also identified multiple private or recurrent CNVs, the majority of which were inherited from asymptomatic parents. Although highly penetrant CNVs or variants inherited in an autosomal recessive manner were detected in rare cases, our results mainly support the hypothesis that most CNVs contribute to ASDs in association with other CNVs or point variants located elsewhere in the genome. Identification of these genetic interactions in individuals with ASDs constitutes a formidable challenge.

  5. Robust SNP genotyping by multiplex PCR and arrayed primer extension

    Directory of Open Access Journals (Sweden)

    Podder Mohua

    2008-01-01

    Full Text Available Abstract Background Arrayed primer extension (APEX is a microarray-based rapid minisequencing methodology that may have utility in 'personalized medicine' applications that involve genetic diagnostics of single nucleotide polymorphisms (SNPs. However, to date there have been few reports that objectively evaluate the assay completion rate, call rate and accuracy of APEX. We have further developed robust assay design, chemistry and analysis methodologies, and have sought to determine how effective APEX is in comparison to leading 'gold-standard' genotyping platforms. Our methods have been tested against industry-leading technologies in two blinded experiments based on Coriell DNA samples and SNP genotype data from the International HapMap Project. Results In the first experiment, we genotyped 50 SNPs across the entire 270 HapMap Coriell DNA sample set. For each Coriell sample, DNA template was amplified in a total of 7 multiplex PCRs prior to genotyping. We obtained good results for 41 of the SNPs, with 99.8% genotype concordance with HapMap data, at an automated call rate of 94.9% (not including the 9 failed SNPs. In the second experiment, involving modifications to the initial DNA amplification so that a single 50-plex PCR could be achieved, genotyping of the same 50 SNPs across each of 49 randomly chosen Coriell DNA samples allowed extremely robust 50-plex genotyping from as little as 5 ng of DNA, with 100% assay completion rate, 100% call rate and >99.9% accuracy. Conclusion We have shown our methods to be effective for robust multiplex SNP genotyping using APEX, with 100% call rate and >99.9% accuracy. We believe that such methodology may be useful in future point-of-care clinical diagnostic applications where accuracy and call rate are both paramount.

  6. Hybridization and amplification rate correction for affymetrix SNP arrays

    Directory of Open Access Journals (Sweden)

    Wang Quan

    2012-06-01

    Full Text Available Abstract Background Copy number variation (CNV is essential to understand the pathology of many complex diseases at the DNA level. Affymetrix SNP arrays, which are widely used for CNV studies, significantly depend on accurate copy number (CN estimation. Nevertheless, CN estimation may be biased by several factors, including cross-hybridization and training sample batch, as well as genomic waves of intensities induced by sequence-dependent hybridization rate and amplification efficiency. Since many available algorithms only address one or two of the three factors, a high false discovery rate (FDR often results when identifying CNV. Therefore, we have developed a new CNV detection pipeline which is based on hybridization and amplification rate correction (CNVhac. Methods CNVhac first estimates the allelic concentrations (ACs of target sequences by using the sample independent parameters trained through physicochemical hybridization law. Then the raw CN is estimated by taking the ratio of AC to the corresponding average AC from a reference sample set for one specific site. Finally, a hidden Markov model (HMM segmentation process is implemented to detect CNV regions. Results Based on public HapMap data, the results show that CNVhac effectively smoothes the genomic waves and facilitates more accurate raw CN estimates compared to other methods. Moreover, CNVhac alleviates, to a certain extent, the sample dependence of inference and makes CNV calling with appreciable low FDRs. Conclusion CNVhac is an effective approach to address the common difficulties in SNP array analysis, and the working principles of CNVhac can be easily extended to other platforms.

  7. The association of the Clock 3111 T/C SNP with lipids and lipoproteins including small dense low-density lipoprotein: results from the Mima study.

    Science.gov (United States)

    Tsuzaki, Kokoro; Kotani, Kazuhiko; Sano, Yoshiko; Fujiwara, Shinji; Takahashi, Kaoru; Sakane, Naoki

    2010-10-21

    The clock molecule plays major roles in circadian rhythmicity and regulating lipid and glucose metabolism in peripheral organs. Disruption of the circadian rhythm can lead to cardiometabolic disorders. The existence of small dense low-density lipoprotein (sdLDL) in the circulation, an abnormality of lipid metabolism, in part associated with lifestyle, is also one of risk parameters for cardiometabolic disorders. The 3111 T/C single nucleotide polymorphism (SNP) of the Clock gene has been reported to be associated with lifestyle including morning/evening preference. We investigated whether the Clock 3111 T/C SNP may affect lipids and lipoproteins including sdLDL. In 365 community-dwelling subjects (170 men and 195 women, mean age 63 ± 14 years), the 3111 T/C SNP was genotyped using a fluorescent allele-specific DNA primer assay system. The levels of sdLDL were measured with the electrophoretic separation of lipoproteins employing the Lipoprint system. The frequency of the Clock 3111 C allele was 0.14. The area of sdLDL did not differ between the subjects with obesity and those without. In carriers of T/T homozygotes, the area of sdLDL was significantly higher compared with carriers of the C allele (T/C or C/C) (1.7 ± 3.4 vs. 0.8 ± 1.9%; p < 0.05). A multiple regression analysis showed that the area of sdLDL was significantly and negatively correlated with the Clock 3111 T/C SNP (β = -0.114, p < 0.05), independently of age, sex, body mass index, and exercise habits. Our findings indicated that the Clock 3111 T/C SNP might be associated with the existence of sdLDL.

  8. The association of the Clock 3111 T/C SNP with lipids and lipoproteins including small dense low-density lipoprotein: results from the Mima study

    Directory of Open Access Journals (Sweden)

    Takahashi Kaoru

    2010-10-01

    Full Text Available Abstract Background The clock molecule plays major roles in circadian rhythmicity and regulating lipid and glucose metabolism in peripheral organs. Disruption of the circadian rhythm can lead to cardiometabolic disorders. The existence of small dense low-density lipoprotein (sdLDL in the circulation, an abnormality of lipid metabolism, in part associated with lifestyle, is also one of risk parameters for cardiometabolic disorders. The 3111 T/C single nucleotide polymorphism (SNP of the Clock gene has been reported to be associated with lifestyle including morning/evening preference. We investigated whether the Clock 3111 T/C SNP may affect lipids and lipoproteins including sdLDL. Methods In 365 community-dwelling subjects (170 men and 195 women, mean age 63 ± 14 years, the 3111 T/C SNP was genotyped using a fluorescent allele-specific DNA primer assay system. The levels of sdLDL were measured with the electrophoretic separation of lipoproteins employing the Lipoprint system. Results The frequency of the Clock 3111 C allele was 0.14. The area of sdLDL did not differ between the subjects with obesity and those without. In carriers of T/T homozygotes, the area of sdLDL was significantly higher compared with carriers of the C allele (T/C or C/C (1.7 ± 3.4 vs. 0.8 ± 1.9%; p Clock 3111 T/C SNP (β = -0.114, p Conclusion Our findings indicated that the Clock 3111 T/C SNP might be associated with the existence of sdLDL.

  9. The identification of an ESCC susceptibility SNP rs920778 that regulates the expression of lncRNA HOTAIR via a novel intronic enhancer.

    Science.gov (United States)

    Zhang, Xiaojiao; Zhou, Liqing; Fu, Guobin; Sun, Fang; Shi, Juan; Wei, Jinyu; Lu, Chao; Zhou, Changchun; Yuan, Qipeng; Yang, Ming

    2014-09-01

    Long noncoding RNA (lncRNA) HOX transcript antisense RNA (HOTAIR), which could induce genome-wide retargeting of polycomb-repressive complex 2, trimethylates histone H3 lysine-27 (H3K27me3) and deregulation of multiple downstream genes, is involved in development and progression of esophageal squamous cell carcinoma (ESCC). We hypothesized that the functional single nucleotide polymorphisms (SNP) in HOTAIR may affect HOTAIR expression and/or its function and, thus, ESCC risk. Therefore, we examined the association between three haplotype-tagging SNPs (htSNP) across the whole HOTAIR locus and ESCC risk as well as the functional relevance of an ESCC susceptibility SNP rs920778. Genotypes were determined in three independent case-control sets consisted of 2098 ESCC patients and 2150 controls. The allele-specific regulation on HOTAIR expression by the rs920778 SNP was investigated in vitro and in vivo. We found that the HOTAIR rs920778 TT carriers had a 1.37-fold, 1.78-fold and 2.08-fold increased ESCC risk in Jinan, Shijiazhuang and Huaian populations, respectively, compared with the CC carriers (P = 0.003, 7.7 × 10(-4) and 5.9 × 10(-4)). During inspecting functional relevance of the rs920778 SNP, we identified a novel intronic HOTAIR enhancer locating between +1719bp and +2353bp from the transcriptional start site through reporter assays. Moreover, there is an allelic regulation of rs920778 on HOTAIR expression via this enhancer in both ESCC cell lines and normal esophageal tissue specimens, with higher HOTAIR expression among T allele carriers. These results demonstrate that functional genetic variants influencing lncRNA regulation may explain a fraction of ESCC genetic basis.

  10. A comparison of SNP and STR loci for delineating population structure and performing individual genetic assignment

    DEFF Research Database (Denmark)

    Glover, Kevin A.; Hansen, Michael Møller; Lien, Sigbjørn

    2010-01-01

    between SNP and STR data sets and variants thereof. The best 15 SNPs (30 alleles) gave a similar level of self-assignment to the best 4 STR loci (83 alleles), however, addition of further STR loci did not lead to a notable increase assignment whereas addition of up to 100 SNP loci increased assignment...

  11. Association between MDM2-SNP309 and hepatocellular carcinoma in Taiwanese population

    Institute of Scientific and Technical Information of China (English)

    Jyh-Der Leu; I-Feng Lin; Ying-Fang Sun; Su-Mei Chen; Chih-Chao Liu; Yi-Jang Lee

    2009-01-01

    AIM: To investigate the risk association and compare the onset age of hepatocellular carcinoma (HCC)patients in Taiwan with different genotypes of MDM2-SNP309.METHODS: We analyzed MDM2-SNP309 genotypes from 58 patients with HCC and 138 cancer-free healthy controls consecutively. Genotyping of MDM2-SNP309 was conducted by restriction fragment length polymorphism assay.RESULTS: The proportion of homozygous MDM2-SNP309 genotype (G/G) in cases and cancer-free healthy controls was similar (17.2% vs 16.7%). Multivariate analysis showed that the risk of G/G genotype of MDM2-SNP309 vs wild-type T/T genotype in patients with HCC was not significant (OR = 1.265, 95%CI = 0.074-21.77) after adjustment for sex, hepatitis B or C virus infection, age, and cardiovascular disease/diabetes. Nevertheless, there was a trend that GG genotype of MDM2-SNP309 might increase the risk in HCC patients infected with hepatitis virus (OR = 2.568,95% CI = 0.054-121.69). Besides, the homozygous MDM2-SNP309 genotype did not exhibit a significantly earlier age of onset for HCC.CONCLUSION: Current data suggest that the association between MDM2-SNP309 GG genotype and HCC is not significant, while the risk may be enhanced in patients infected by hepatitis virus in Taiwan.

  12. A new SNP panel for evaluating genetic diversity in a composite cattle breed

    Science.gov (United States)

    A custom 60K SNP panel, extracted from Bovine HD SNP chip was used to evaluate genotypic frequency changes in Braford (BF, a composite breed) when compared to progenitor breeds: Hereford (HF), Brahman (BR), and Nelore (NE). Samples from both the U. S. and Brazil were used. The new panel differentiat...

  13. [Accurate detection of a case with Angelman syndrome (type 1) using SNP array].

    Science.gov (United States)

    Shi, Shanshan; Lin, Shaobin; Liao, Yanfen; Li, Weijing

    2016-12-10

    To analyze a case with Angelman syndrome (AS) using single nucleotide polymorphism array (SNP array) and explore its genotype-phenotype correlation. G-banded karyotyping and SNP array were performed on a child featuring congenital malformations, intellectual disability and developmental delay. Mendelian error checking based on the SNP information was used to delineate the parental origin of detected abnormality. Result of the SNP array was validated with fluorescence in situ hybridization (FISH). The SNP array has detected a 6.053 Mb deletion at 15q11.2q13.1 (22,770,421- 28,823,722) which overlapped with the critical region of AS (type 1). The parents of the child showed no abnormal results for G-banded karyotyping, SNP array and FISH analysis, indicating a de novo origin of the deletion. Mendelian error checking based on the SNP information suggested that the 15q11.2q13.1 deletion was of maternal origin. SNP array can accurately define the size, location and parental origin of chromosomal microdeletions, which may facilitate the diagnosis of AS due to 15q11q13 deletion and better understanding of its genotype-phenotype correlation.

  14. A 48-plex autosomal SNP GenPlex™ assay for human individualization and relationship testing

    DEFF Research Database (Denmark)

    Tomas Mas, Carmen; Børsting, Claus; Morling, Niels

    2012-01-01

    SNPs are being increasingly used by forensic laboratories. Different platforms have been developed for SNP typing. We describe the GenPlex™ HID system protocol, a new SNP-typing platform developed by Applied Biosystems where 48 of the 52 SNPforID SNPs and amelogenin are included. The GenPlex™ HID...

  15. Development and application of a 20K SNP array in potato

    NARCIS (Netherlands)

    Vos, Peter

    2016-01-01

    In this thesis the results are described of investigations of various application of genome wide SNP (single nucleotide polymorphism) markers. The set of SNP markers was identified by GBS (genotyping by sequencing) strategy. The resulting dataset of 129,156 SNPs across 83 tetraploid varieties was us

  16. RExPrimer: an integrated primer designing tool increases PCR effectiveness by avoiding 3' SNP-in-primer and mis-priming from structural variation.

    Science.gov (United States)

    Piriyapongsa, Jittima; Ngamphiw, Chumpol; Assawamakin, Anunchai; Wangkumhang, Pongsakorn; Suwannasri, Payiarat; Ruangrit, Uttapong; Agavatpanitch, Gallissara; Tongsima, Sissades

    2009-12-03

    Polymerase chain reaction (PCR) is very useful in many areas of molecular biology research. It is commonly observed that PCR success is critically dependent on design of an effective primer pair. Current tools for primer design do not adequately address the problem of PCR failure due to mis-priming on target-related sequences and structural variations in the genome. We have developed an integrated graphical web-based application for primer design, called RExPrimer, which was written in Python language. The software uses Primer3 as the primer designing core algorithm. Locally stored sequence information and genomic variant information were hosted on MySQLv5.0 and were incorporated into RExPrimer. RExPrimer provides many functionalities for improved PCR primer design. Several databases, namely annotated human SNP databases, insertion/deletion (indel) polymorphisms database, pseudogene database, and structural genomic variation databases were integrated into RExPrimer, enabling an effective without-leaving-the-website validation of the resulting primers. By incorporating these databases, the primers reported by RExPrimer avoid mis-priming to related sequences (e.g. pseudogene, segmental duplication) as well as possible PCR failure because of structural polymorphisms (SNP, indel, and copy number variation (CNV)). To prevent mismatching caused by unexpected SNPs in the designed primers, in particular the 3' end (SNP-in-Primer), several SNP databases covering the broad range of population-specific SNP information are utilized to report SNPs present in the primer sequences. Population-specific SNP information also helps customize primer design for a specific population. Furthermore, RExPrimer offers a graphical user-friendly interface through the use of scalable vector graphic image that intuitively presents resulting primers along with the corresponding gene structure. In this study, we demonstrated the program effectiveness in successfully generating primers for strong

  17. SNP interaction detection with Random Forests in high-dimensional genetic data

    Directory of Open Access Journals (Sweden)

    Winham Stacey J

    2012-07-01

    Full Text Available Abstract Background Identifying variants associated with complex human traits in high-dimensional data is a central goal of genome-wide association studies. However, complicated etiologies such as gene-gene interactions are ignored by the univariate analysis usually applied in these studies. Random Forests (RF are a popular data-mining technique that can accommodate a large number of predictor variables and allow for complex models with interactions. RF analysis produces measures of variable importance that can be used to rank the predictor variables. Thus, single nucleotide polymorphism (SNP analysis using RFs is gaining popularity as a potential filter approach that considers interactions in high-dimensional data. However, the impact of data dimensionality on the power of RF to identify interactions has not been thoroughly explored. We investigate the ability of rankings from variable importance measures to detect gene-gene interaction effects and their potential effectiveness as filters compared to p-values from univariate logistic regression, particularly as the data becomes increasingly high-dimensional. Results RF effectively identifies interactions in low dimensional data. As the total number of predictor variables increases, probability of detection declines more rapidly for interacting SNPs than for non-interacting SNPs, indicating that in high-dimensional data the RF variable importance measures are capturing marginal effects rather than capturing the effects of interactions. Conclusions While RF remains a promising data-mining technique that extends univariate methods to condition on multiple variables simultaneously, RF variable importance measures fail to detect interaction effects in high-dimensional data in the absence of a strong marginal component, and therefore may not be useful as a filter technique that allows for interaction effects in genome-wide data.

  18. Evaluation of a candidate breast cancer associated SNP in ERCC4 as a risk modifier in BRCA1 and BRCA2 mutation carriers. Results from the consortium of investigators of modifiers of BRCA1/BRCA2 (CIMBA)

    NARCIS (Netherlands)

    A. Osorio (Ana); R.L. Milne (Roger); G. Pita (G.); P. Peterlongo (Paolo); T. Heikinen (Tuomas); J. Simard (Jacques); G. Chenevix-Trench (Georgia); A.B. Spurdle (Amanda); J. Beesley (Jonathan); X.C. Chen (X. C.); S. Healey (Sue); S.L. Neuhausen (Susan); Y.C. Ding (Yuan); F.J. Couch (Fergus); X. Wang (Xing); N.M. Lindor (Noralane); S. Manoukian (Siranoush); M. Barile (Monica); A. Viel (Alessandra); L. Tizzoni (Laura); C. Szabo (Csilla); L. Foretova (Lenka); M. Zikan (Michal); K. Claes (Kathleen); M.H. Greene (Mark); P.L. Mai (Phuong); G. Rennert (Gad); F. Lejbkowicz (Flavio); O. Barnett-Griness (Ofra); I.L. Andrulis (Irene); H. Ozcelik (Hilmi); N. Weerasooriya (Nayana); A-M. Gerdes (Anne-Marie); M. Thomassen (Mads); D. Cruger (Dorthe); M.A. Caligo (Maria); E. Friedman (Eitan); B. Kaufman (Bella); Y. Laitman (Yael); S. Cohen (Shimrit); T. Kontorovich (Tair); R. Gershoni-Baruch; E. Dagan (Efrat); H. Jernström (H.); M.S. Askmalm (Marie); B. Arver (Brita Wasteson); B. Malmer (Beatrice); S.M. Domchek (Susan); K.L. Nathanson (Katherine); J. Brunet (Joan); T. Ramon Y Cajal; D. Yannoukakos (Drakoulis); U. Hamann (Ute); F.B.L. Hogervorst (Frans); S. Verhoef; E.B.G. Garcíla (E.B. Gómez); J.T. Wijnen (Juul); A.M.W. van den Ouweland (Ans); D.F. Easton (Douglas); S. Peock (Susan); M. Cook (Margaret); C.T. Oliver (Clare); D. Frost (Debra); C. Luccarini (Craig); D.G. Evans (Gareth); F. Lalloo (Fiona); R. Eeles (Rosalind); G. Pichert (Gabriella); J. Cook (Jackie); S.V. Hodgson (Shirley); P.J. Morrison (Patrick); F. Douglas (Fiona); A.K. Godwin (Andrew); O. Sinilnikova (Olga); L. Barjhoux (Laure); D. Stoppa-Lyonnet (Dominique); V. Moncoutier (Virginie); S. Giraud (Sophie); C. Cassini (C.); L. Faivre (Laurence); F. Révillion (Françoise); J.-P. Peyrat; D.W. Muller (Danièle); J.P. Fricker (Jean Pierre); H. Lynch (Henry); E.M. John (Esther); S.S. Buys (Saundra); M.B. Daly (Mary); J.L. Hopper (John); M.-B. Terry (Mary-Beth); A. Miron (Alexander); Y. Yassin (Yosuf); D. Goldgar (David); C.F. Singer (Christian); D. Gschwantler-Kaulich (Daphne); G. Pfeiler (Georg); E. Spiess (Eberhard); T.V.O. Hansen (Thomas); O.T. Johannson (Oskar); T. Kircchoff (Tomas); K. Offit (Kenneth); K. Kosarin (Kristi); M. Piedmonte (Marion); G.C. Rodriguez (Gustavo); K. Wakeley (Katie); J.F. Boggess (John); J. Basil (Jack); P.E. Schwartz (Peter); S.V. Blank (Stephanie); A.E. Toland (Amanda); M. Montagna (Marco); C. Casella (Cinzia); E.N. Imyanitov (Evgeny); A. Allavena (Anna); R.K. Schmutzler (Rita); B. Versmold (Beatrix); C. Engel (Christoph); A. Meindl (Alfons); N. Ditsch (Nina); N. Arnold (Norbert); D. Niederacher (Dieter); H. Deiler (H.); B. Fiebig (Britta); R. Varon-Mateeva (Raymonda); D. Schaefer (D.); U.G. Froster (U.); T. Caldes (Trinidad); M. de La Hoya (Miguel); L. McGuffog (Lesley); A.C. Antoniou (Antonis); H. Nevanlinna (Heli); P. Radice (Paolo); J. Benítez (Javier)

    2009-01-01

    textabstractBackground: In this study we aimed to evaluate the role of a SNP in intron 1 of the ERCC4 gene (rs744154), previously reported to be associated with a reduced risk of breast cancer in the general population, as a breast cancer risk modifier in BRCA1 and BRCA2 mutation carriers. Methods:

  19. Evaluation of a candidate breast cancer associated SNP in ERCC4 as a risk modifier in BRCA1 and BRCA2 mutation carriers. Results from the consortium of investigators of modifiers of BRCA1/BRCA2 (CIMBA)

    NARCIS (Netherlands)

    A. Osorio (Ana); R.L. Milne (Roger); G. Pita (G.); P. Peterlongo (Paolo); T. Heikinen (Tuomas); J. Simard (Jacques); G. Chenevix-Trench (Georgia); A.B. Spurdle (Amanda); J. Beesley (Jonathan); X.C. Chen (X. C.); S. Healey (Sue); S.L. Neuhausen (Susan); Y.C. Ding (Yuan); F.J. Couch (Fergus); X. Wang (Xing); N.M. Lindor (Noralane); S. Manoukian (Siranoush); M. Barile (Monica); A. Viel (Alessandra); L. Tizzoni (Laura); C. Szabo (Csilla); L. Foretova (Lenka); M. Zikan (Michal); K. Claes (Kathleen); M.H. Greene (Mark); P.L. Mai (Phuong); G. Rennert (Gad); F. Lejbkowicz (Flavio); O. Barnett-Griness (Ofra); I.L. Andrulis (Irene); H. Ozcelik (Hilmi); N. Weerasooriya (Nayana); A-M. Gerdes (Anne-Marie); M. Thomassen (Mads); D. Cruger (Dorthe); M.A. Caligo (Maria); E. Friedman (Eitan); B. Kaufman (Bella); Y. Laitman (Yael); S. Cohen (Shimrit); T. Kontorovich (Tair); R. Gershoni-Baruch; E. Dagan (Efrat); H. Jernström (H.); M.S. Askmalm (Marie); B. Arver (Brita Wasteson); B. Malmer (Beatrice); S.M. Domchek (Susan); K.L. Nathanson (Katherine); J. Brunet (Joan); T. Ramon Y Cajal; D. Yannoukakos (Drakoulis); U. Hamann (Ute); F.B.L. Hogervorst (Frans); S. Verhoef; E.B.G. Garcíla (E.B. Gómez); J.T. Wijnen (Juul); A.M.W. van den Ouweland (Ans); D.F. Easton (Douglas); S. Peock (Susan); M. Cook (Margaret); C.T. Oliver (Clare); D. Frost (Debra); C. Luccarini (Craig); D.G. Evans (Gareth); F. Lalloo (Fiona); R. Eeles (Rosalind); G. Pichert (Gabriella); J. Cook (Jackie); S.V. Hodgson (Shirley); P.J. Morrison (Patrick); F. Douglas (Fiona); A.K. Godwin (Andrew); O. Sinilnikova (Olga); L. Barjhoux (Laure); D. Stoppa-Lyonnet (Dominique); V. Moncoutier (Virginie); S. Giraud (Sophie); C. Cassini (C.); L. Faivre (Laurence); F. Révillion (Françoise); J.-P. Peyrat; D.W. Muller (Danièle); J.P. Fricker (Jean Pierre); H. Lynch (Henry); E.M. John (Esther); S.S. Buys (Saundra); M.B. Daly (Mary); J.L. Hopper (John); M.-B. Terry (Mary-Beth); A. Miron (Alexander); Y. Yassin (Yosuf); D. Goldgar (David); C.F. Singer (Christian); D. Gschwantler-Kaulich (Daphne); G. Pfeiler (Georg); E. Spiess (Eberhard); T.V.O. Hansen (Thomas); O.T. Johannson (Oskar); T. Kircchoff (Tomas); K. Offit (Kenneth); K. Kosarin (Kristi); M. Piedmonte (Marion); G.C. Rodriguez (Gustavo); K. Wakeley (Katie); J.F. Boggess (John); J. Basil (Jack); P.E. Schwartz (Peter); S.V. Blank (Stephanie); A.E. Toland (Amanda); M. Montagna (Marco); C. Casella (Cinzia); E.N. Imyanitov (Evgeny); A. Allavena (Anna); R.K. Schmutzler (Rita); B. Versmold (Beatrix); C. Engel (Christoph); A. Meindl (Alfons); N. Ditsch (Nina); N. Arnold (Norbert); D. Niederacher (Dieter); H. Deiler (H.); B. Fiebig (Britta); R. Varon-Mateeva (Raymonda); D. Schaefer (D.); U.G. Froster (U.); T. Caldes (Trinidad); M. de La Hoya (Miguel); L. McGuffog (Lesley); A.C. Antoniou (Antonis); H. Nevanlinna (Heli); P. Radice (Paolo); J. Benítez (Javier)

    2009-01-01

    textabstractBackground: In this study we aimed to evaluate the role of a SNP in intron 1 of the ERCC4 gene (rs744154), previously reported to be associated with a reduced risk of breast cancer in the general population, as a breast cancer risk modifier in BRCA1 and BRCA2 mutation carriers. Methods:

  20. SNP uniqueness problem: a proof-of-principle in HapMap SNPs.

    Science.gov (United States)

    Doron, Shany; Shweiki, Dorit

    2011-04-01

    SNP-based research strongly affects our biomedical and clinically associated knowledge. Nonunique and false-positive SNP existence in commonly used datasets may thus lead to biased, inaccurate clinically associated conclusions. We designed a computational study to reveal the degree of nonunique/false-positive SNPs in the HapMap dataset. Two sets of SNP flanking sequences were used as queries for BLAT analysis against the human genome. 4.2% and 11.9% of HapMap SNPs align to the genome nonuniquely (long and short, respectively). Furthermore, an average of 7.9% nonunique SNPs are included in common commercial genotyping arrays (according to our designed probes). Nonunique SNPs identified in this study are represented to various degrees in clinically associated databases, stressing the consequence of inaccurate SNP annotation and hence SNP utilization. Unfortunately, our results question some disease-related genotyping analyses, raising a worrisome concern on their validity.

  1. Ultrahigh-dimensional variable selection method for whole-genome gene-gene interaction analysis

    Directory of Open Access Journals (Sweden)

    Ueki Masao

    2012-05-01

    Full Text Available Abstract Background Genome-wide gene-gene interaction analysis using single nucleotide polymorphisms (SNPs is an attractive way for identification of genetic components that confers susceptibility of human complex diseases. Individual hypothesis testing for SNP-SNP pairs as in common genome-wide association study (GWAS however involves difficulty in setting overall p-value due to complicated correlation structure, namely, the multiple testing problem that causes unacceptable false negative results. A large number of SNP-SNP pairs than sample size, so-called the large p small n problem, precludes simultaneous analysis using multiple regression. The method that overcomes above issues is thus needed. Results We adopt an up-to-date method for ultrahigh-dimensional variable selection termed the sure independence screening (SIS for appropriate handling of numerous number of SNP-SNP interactions by including them as predictor variables in logistic regression. We propose ranking strategy using promising dummy coding methods and following variable selection procedure in the SIS method suitably modified for gene-gene interaction analysis. We also implemented the procedures in a software program, EPISIS, using the cost-effective GPGPU (General-purpose computing on graphics processing units technology. EPISIS can complete exhaustive search for SNP-SNP interactions in standard GWAS dataset within several hours. The proposed method works successfully in simulation experiments and in application to real WTCCC (Wellcome Trust Case–control Consortium data. Conclusions Based on the machine-learning principle, the proposed method gives powerful and flexible genome-wide search for various patterns of gene-gene interaction.

  2. Whole-genome SNP association analysis of reproduction traits in the Finnish Landrace pig breed

    Directory of Open Access Journals (Sweden)

    Uimari Pekka

    2011-12-01

    Full Text Available Abstract Background Good genetic progress for pig reproduction traits has been achieved using a quantitative genetics-based multi-trait BLUP evaluation system. At present, whole-genome single nucleotide polymorphisms (SNP panels provide a new tool for pig selection. The purpose of this study was to identify SNP associated with reproduction traits in the Finnish Landrace pig breed using the Illumina PorcineSNP60 BeadChip. Methods Association of each SNP with different traits was tested with a weighted linear model, using SNP genotype as a covariate and animal as a random variable. Deregressed estimated breeding values of the progeny tested boars were used as the dependent variable and weights were based on their reliabilities. Statistical significance of the associations was based on Bonferroni-corrected P-values. Results Deregressed estimated breeding values were available for 328 genotyped boars. Of the 62 163 SNP in the chip, 57 868 SNP had a call rate > 0.9 and 7 632 SNP were monomorphic. Statistically significant results (P-value P-value P-value = 1.69E-08 more than unfavourable double homozygote animals. A region on chromosome 9 (66 Mb was statistically significant for piglet mortality between birth and weaning in later parity (0.44 piglets between homozygotes, P-value = 6.94E-08. Conclusions Three separate regions on chromosome 9 gave significant results for litter size and pig mortality. The frequencies of favourable alleles of the significant SNP are moderate in the Finnish Landrace population and these SNP are thus valuable candidates for possible marker-assisted selection.

  3. Design and characterization of a 52K SNP chip for goats.

    Directory of Open Access Journals (Sweden)

    Gwenola Tosser-Klopp

    Full Text Available The success of Genome Wide Association Studies in the discovery of sequence variation linked to complex traits in humans has increased interest in high throughput SNP genotyping assays in livestock species. Primary goals are QTL detection and genomic selection. The purpose here was design of a 50-60,000 SNP chip for goats. The success of a moderate density SNP assay depends on reliable bioinformatic SNP detection procedures, the technological success rate of the SNP design, even spacing of SNPs on the genome and selection of Minor Allele Frequencies (MAF suitable to use in diverse breeds. Through the federation of three SNP discovery projects consolidated as the International Goat Genome Consortium, we have identified approximately twelve million high quality SNP variants in the goat genome stored in a database together with their biological and technical characteristics. These SNPs were identified within and between six breeds (meat, milk and mixed: Alpine, Boer, Creole, Katjang, Saanen and Savanna, comprising a total of 97 animals. Whole genome and Reduced Representation Library sequences were aligned on >10 kb scaffolds of the de novo goat genome assembly. The 60,000 selected SNPs, evenly spaced on the goat genome, were submitted for oligo manufacturing (Illumina, Inc and published in dbSNP along with flanking sequences and map position on goat assemblies (i.e. scaffolds and pseudo-chromosomes, sheep genome V2 and cattle UMD3.1 assembly. Ten breeds were then used to validate the SNP content and 52,295 loci could be successfully genotyped and used to generate a final cluster file. The combined strategy of using mainly whole genome Next Generation Sequencing and mapping on a contig genome assembly, complemented with Illumina design tools proved to be efficient in producing this GoatSNP50 chip. Advances in use of molecular markers are expected to accelerate goat genomic studies in coming years.

  4. Genotyping NAT2 with only two SNPs (rs1041983 and rs1801280) outperforms the tagging SNP rs1495741 and is equivalent to the conventional 7-SNP NAT2 genotype.

    Science.gov (United States)

    Selinski, Silvia; Blaszkewicz, Meinolf; Lehmann, Marie-Louise; Ovsiannikov, Daniel; Moormann, Oliver; Guballa, Christoph; Kress, Alexander; Truss, Michael C; Gerullis, Holger; Otto, Thomas; Barski, Dimitri; Niegisch, Günter; Albers, Peter; Frees, Sebastian; Brenner, Walburgis; Thüroff, Joachim W; Angeli-Greaves, Miriam; Seidel, Thilo; Roth, Gerhard; Dietrich, Holger; Ebbinghaus, Rainer; Prager, Hans M; Bolt, Hermann M; Falkenstein, Michael; Zimmermann, Anna; Klein, Torsten; Reckwitz, Thomas; Roemer, Hermann C; Löhlein, Dietrich; Weistenhöfer, Wobbeke; Schöps, Wolfgang; Hassan Rizvi, Syed Adibul; Aslam, Muhammad; Bánfi, Gergely; Romics, Imre; Steffens, Michael; Ekici, Arif B; Winterpacht, Andreas; Ickstadt, Katja; Schwender, Holger; Hengstler, Jan G; Golka, Klaus

    2011-10-01

    Genotyping N-acetyltransferase 2 (NAT2) is of high relevance for individualized dosing of antituberculosis drugs and bladder cancer epidemiology. In this study we compared a recently published tagging single nucleotide polymorphism (SNP) (rs1495741) to the conventional 7-SNP genotype (G191A, C282T, T341C, C481T, G590A, A803G and G857A haplotype pairs) and systematically analysed if novel SNP combinations outperform the latter. For this purpose, we studied 3177 individuals by PCR and phenotyped 344 individuals by the caffeine test. Although the tagSNP and the 7-SNP genotype showed a high degree of correlation (R=0.933, P<0.0001) the 7-SNP genotype nevertheless outperformed the tagging SNP with respect to specificity (1.0 vs. 0.9444, P=0.0065). Considering all possible SNP combinations in a receiver operating characteristic analysis we identified a 2-SNP genotype (C282T, T341C) that outperformed the tagging SNP and was equivalent to the 7-SNP genotype. The 2-SNP genotype predicted the correct phenotype with a sensitivity of 0.8643 and a specificity of 1.0. In addition, it predicted the 7-SNP genotype with sensitivity and specificity of 0.9993 and 0.9880, respectively. The prediction of the NAT2 genotype by the 2-SNP genotype performed similar in populations of Caucasian, Venezuelan and Pakistani background. A 2-SNP genotype predicts NAT2 phenotypes with similar sensitivity and specificity as the conventional 7-SNP genotype. This procedure represents a facilitation in individualized dosing of NAT2 substrates without losing sensitivity or specificity.

  5. Nuclear species-diagnostic SNP markers mined from 454 amplicon sequencing reveal admixture genomic structure of modern citrus varieties.

    Science.gov (United States)

    Curk, Franck; Ancillo, Gema; Ollitrault, Frédérique; Perrier, Xavier; Jacquemoud-Collet, Jean-Pierre; Garcia-Lor, Andres; Navarro, Luis; Ollitrault, Patrick

    2015-01-01

    Most cultivated Citrus species originated from interspecific hybridisation between four ancestral taxa (C. reticulata, C. maxima, C. medica, and C. micrantha) with limited further interspecific recombination due to vegetative propagation. This evolution resulted in admixture genomes with frequent interspecific heterozygosity. Moreover, a major part of the phenotypic diversity of edible citrus results from the initial differentiation between these taxa. Deciphering the phylogenomic structure of citrus germplasm is therefore essential for an efficient utilization of citrus biodiversity in breeding schemes. The objective of this work was to develop a set of species-diagnostic single nucleotide polymorphism (SNP) markers for the four Citrus ancestral taxa covering the nine chromosomes, and to use these markers to infer the phylogenomic structure of secondary species and modern cultivars. Species-diagnostic SNPs were mined from 454 amplicon sequencing of 57 gene fragments from 26 genotypes of the four basic taxa. Of the 1,053 SNPs mined from 28,507 kb sequence, 273 were found to be highly diagnostic for a single basic taxon. Species-diagnostic SNP markers (105) were used to analyse the admixture structure of varieties and rootstocks. This revealed C. maxima introgressions in most of the old and in all recent selections of mandarins, and suggested that C. reticulata × C. maxima reticulation and introgression processes were important in edible mandarin domestication. The large range of phylogenomic constitutions between C. reticulata and C. maxima revealed in mandarins, tangelos, tangors, sweet oranges, sour oranges, grapefruits, and orangelos is favourable for genetic association studies based on phylogenomic structures of the germplasm. Inferred admixture structures were in agreement with previous hypotheses regarding the origin of several secondary species and also revealed the probable origin of several acid citrus varieties. The developed species-diagnostic SNP

  6. Development of a maize 55 K SNP array with improved genome coverage for molecular breeding.

    Science.gov (United States)

    Xu, Cheng; Ren, Yonghong; Jian, Yinqiao; Guo, Zifeng; Zhang, Yan; Xie, Chuanxiao; Fu, Junjie; Wang, Hongwu; Wang, Guoying; Xu, Yunbi; Li, Ping; Zou, Cheng

    2017-01-01

    With the decrease of cost in genotyping, single nucleotide polymorphisms (SNPs) have gained wide acceptance because of their abundance, even distribution throughout the maize (Zea mays L.) genome, and suitability for high-throughput analysis. In this study, a maize 55 K SNP array with improved genome coverage for molecular breeding was developed on an Affymetrix® Axiom® platform with 55,229 SNPs evenly distributed across the genome, including 22,278 exonic and 19,425 intronic SNPs. This array contains 451 markers that are associated with 368 known genes and two traits of agronomic importance (drought tolerance and kernel oil biosynthesis), 4067 markers that are not covered by the current reference genome, 734 markers that are differentiated significantly between heterotic groups, and 132 markers that are tags for important transgenic events. To evaluate the performance of 55 K array, we genotyped 593 inbred lines with diverse genetic backgrounds. Compared with the widely-used Illumina® MaizeSNP50 BeadChip, our 55 K array has lower missing and heterozygous rates and more SNPs with lower minor allele frequency (MAF) in tropical maize, facilitating in-depth dissection of rare but possibly valuable variation in tropical germplasm resources. Population structure and genetic diversity analysis revealed that this 55 K array is also quite efficient in resolving heterotic groups and performing fine fingerprinting of germplasm. Therefore, this maize 55 K SNP array is a potentially powerful tool for germplasm evaluation (including germplasm fingerprinting, genetic diversity analysis, and heterotic grouping), marker-assisted breeding, and primary quantitative trait loci (QTL) mapping and genome-wide association study (GWAS) for both tropical and temperate maize.

  7. SNP-Discovery by RAD-Sequencing in a Germplasm Collection of Wild and Cultivated Grapevines (V. vinifera L.)

    Science.gov (United States)

    Birolo, Giovanni; Prazzoli, Maria Lucia; Lorenzi, Silvia; Valle, Giorgio; Grando, Maria Stella

    2017-01-01

    Whole-genome comparisons of Vitis vinifera subsp. sativa and V. vinifera subsp. sylvestris are expected to provide a better estimate of the valuable genetic diversity still present in grapevine, and help to reconstruct the evolutionary history of a major crop worldwide. To this aim, the increase of molecular marker density across the grapevine genome is fundamental. Here we describe the SNP discovery in a grapevine germplasm collection of 51 cultivars and 44 wild accessions through a novel protocol of restriction-site associated DNA (RAD) sequencing. By resequencing 1.1% of the grapevine genome at a high coverage, we recovered 34K BamHI unique restriction sites, of which 6.8% were absent in the ‘PN40024’ reference genome. Moreover, we identified 37,748 single nucleotide polymorphisms (SNPs), 93% of which belonged to the 19 assembled chromosomes with an average of 1.8K SNPs per chromosome. Nearly half of the SNPs fell in genic regions mostly assigned to the functional categories of metabolism and regulation, whereas some nonsynonymous variants were identified in genes related with the detection and response to environmental stimuli. SNP validation was carried-out, showing the ability of RAD-seq to accurately determine genotypes in a highly heterozygous species. T