Wang, Zhenchuan; Wang, Xuexia; Sha, Qiuying; Zhang, Shuanglin
The joint analysis of multiple traits has recently become popular since it can increase statistical power to detect genetic variants and there is increasing evidence showing that pleiotropy is a widespread phenomenon in complex diseases. Currently, the majority of existing methods for the joint analysis of multiple traits test association between one common variant and multiple traits. However, the variant-by-variant methods for common variant association studies may not be optimal for rare variant association studies due to the allelic heterogeneity as well as the extreme rarity of individual variants. Current statistical methods for rare variant association studies are for one single trait only. In this paper, we propose an adaptive weighting reverse regression (AWRR) method to test association between multiple traits and rare variants in a genomic region. AWRR is robust to the directions of effects of causal variants and is also robust to the directions of association of traits. Using extensive simulation studies, we compare the performance of AWRR with canonical correlation analysis (CCA), Single-TOW, and the weighted sum reverse regression (WSRR). Our results show that, in all of the simulation scenarios, AWRR is consistently more powerful than CCA. In most scenarios, AWRR is more powerful than Single-TOW and WSRR. PMID:26990300
del Giacco Stefano
Full Text Available Abstract Background Association studies consist in identifying the genetic variants which are related to a specific disease through the use of statistical multiple hypothesis testing or segregation analysis in pedigrees. This type of studies has been very successful in the case of Mendelian monogenic disorders while it has been less successful in identifying genetic variants related to complex diseases where the insurgence depends on the interactions between different genes and the environment. The current technology allows to genotype more than a million of markers and this number has been rapidly increasing in the last years with the imputation based on templates sets and whole genome sequencing. This type of data introduces a great amount of noise in the statistical analysis and usually requires a great number of samples. Current methods seldom take into account gene-gene and gene-environment interactions which are fundamental especially in complex diseases. In this paper we propose to use a non-parametric additive model to detect the genetic variants related to diseases which accounts for interactions of unknown order. Although this is not new to the current literature, we show that in an isolated population, where the most related subjects share also most of their genetic code, the use of additive models may be improved if the available genealogical tree is taken into account. Specifically, we form a sample of cases and controls with the highest inbreeding by means of the Hungarian method, and estimate the set of genes/environmental variables, associated with the disease, by means of Random Forest. Results We have evidence, from statistical theory, simulations and two applications, that we build a suitable procedure to eliminate stratification between cases and controls and that it also has enough precision in identifying genetic variants responsible for a disease. This procedure has been successfully used for the beta-thalassemia, which is
Yan-feng SHEN; Jun ZHU
Association analysis provides an opportunity to find genetic variants underlying complex traits. A principal com-ponents regression (PCR)-based approach was shown to outperform some competing approaches. However, a limitation of this method is that the principal components (PCs) selected from single nucleotide polymorphisms (SNPs) may be unrelated to the phenotype. In this article, we investigate the theoretical properties of such a method in more detail. We first derive the exact power function of the test based on PCR, and hence clarify the relationship between the test power and the degrees of freedom (DF). Next, we extend the PCR test to a general weighted PCs test, which provides a unified framework for understanding the properties of some related statistics. We then compare the performance of these tests. We also introduce several data-driven adaptive alterna-tives to overcome difficulties in the PCR approach. Finally, we illustrate our results using simulations based on real genotype data. Simulation study shows the risk of using the unsupervised rule to determine the number of PCs, and demonstrates that there is no single uniformly powerful method for detecting genetic variants.
Evangelou, Evangelos; Kerkhof, Hanneke J; Styrkarsdottir, Unnur;
Osteoarthritis (OA) is the most common form of arthritis with a clear genetic component. To identify novel loci associated with hip OA we performed a meta-analysis of genome-wide association studies (GWAS) on European subjects....
Zaitlen, Noah; Eskin, Eleazar
Genome-wide association studies have recently identified many new loci associated with human complex diseases. These newly discovered variants typically have weak effects requiring studies with large numbers of individuals to achieve the statistical power necessary to identify them. Likely, there exist even more associated variants, which remain to be found if even larger association studies can be assembled. Meta-analysis provides a straightforward means of increasing study sample sizes with...
Full Text Available In a meta-analysis with multiple end points of interests that are correlated between or within studies, multivariate approach to meta-analysis has a potential to produce more precise estimates of effects by exploiting the correlation structure between end points. However, under random-effects assumption the multivariate estimation is more complex (as it involves estimation of more parameters simultaneously than univariate estimation, and sometimes can produce unrealistic parameter estimates. Usefulness of multivariate approach to meta-analysis of the effects of a genetic variant on two or more correlated traits is not well understood in the area of genetic association studies. In such studies, genetic variants are expected to roughly maintain Hardy-Weinberg equilibrium within studies, and also their effects on complex traits are generally very small to modest and could be heterogeneous across studies for genuine reasons. We carried out extensive simulation to explore the comparative performance of multivariate approach with most commonly used univariate inverse-variance weighted approach under random-effects assumption in various realistic meta-analytic scenarios of genetic association studies of correlated end points. We evaluated the performance with respect to relative mean bias percentage, and root mean square error (RMSE of the estimate and coverage probability of corresponding 95% confidence interval of the effect for each end point. Our simulation results suggest that multivariate approach performs similarly or better than univariate method when correlations between end points within or between studies are at least moderate and between-study variation is similar or larger than average within-study variation for meta-analyses of 10 or more genetic studies. Multivariate approach produces estimates with smaller bias and RMSE especially for the end point that has randomly or informatively missing summary data in some individual studies, when
Evangelou, Evangelos; Kerkhof, Hanneke J.; Styrkarsdottir, Unnur; Ntzani, Evangelia E; Bos, Steffan D.; Esko, Tonu; Evans, Daniel S.; Metrustry, Sarah; Panoutsopoulou, Kalliope; Ramos, Yolande F M; Thorleifsson, Gudmar; Tsilidis, Konstantinos K.; ,; Arden, Nigel; Aslam, Nadim
Objectives Osteoarthritis (OA) is the most common form of arthritis with a clear genetic component. To identify novel loci associated with hip OA we performed a meta-analysis of genome-wide association studies (GWAS) on European subjects. Methods We performed a two-stage meta-analysis on more than 78 000 participants. In stage 1, we synthesised data from eight GWAS whereas data from 10 centres were used for ‘in silico’ or ‘de novo’ replication. Besides the main analysis, a stratified by sex a...
Evangelou, Evangelos; Kerkhof, Hanneke; Styrkarsdottir, Unnur; Ntzani, Evangelia; Bos, Steffan; Esko, Tõnu; Evans, Daniel; Metrustry, Sarah; Panoutsopoulou, Kalliope; Ramos, Yolande; Thorleifsson, Gudmar; Tsilidis, Konstantinos; Arden, Nigel; Aslam, Nadim; Bellamy, Nicholas
Objectives Osteoarthritis (OA) is the most common form of arthritis with a clear genetic component. To identify novel loci associated with hip OA we performed a meta-analysis of genome-wide association studies (GWAS) on European subjects. Methods We performed a two-stage meta-analysis on more than 78 000 participants. In stage 1, we synthesised data from eight GWAS whereas data from 10 centres were used for 'in silico' or 'de novo' replication. Besides the main analysis, a str...
Shang, Weifeng; Ning, Yong; Xu, Xiu; Li, Menglan; Guo, Shuiming; Han, Min; Zeng, Rui; Ge, Shuwang; Xu, Gang
Objective The purpose of this paper is to examine cancer incidence in patients with ANCA-associated vasculitis (AASV) derived from population-based cohort studies by means of meta-analysis. Methods Relevant electronic databases were searched for studies characterizing the associated risk of overall malignancy in patients with AASV. Standardized incidence rates (SIRs) with 95% confidence intervals (CIs) were used to evaluate the strength of association. We tested for publication bias and heter...
Minster, Ryan L; Sanders, Jason L; Singh, Jatinder;
BACKGROUND: The Healthy Aging Index (HAI) is a tool for measuring the extent of health and disease across multiple systems. METHODS: We conducted a genome-wide association study and a genome-wide linkage analysis to map quantitative trait loci associated with the HAI and a modified HAI weighted for......: There were no genome-wide significant findings from the genome-wide association study; however, several single-nucleotide polymorphisms near ZNF704 on chromosome 8q21.13 were suggestively associated with the HAI in the Long Life Family Study (p < 10(-) (6)) and nominally replicated in the Cardiovascular...
Wong, May. Chun. Mei; Feng, Xi-Ping; Lu, Hai-Xia; Xu, Wei
Objective Numerous studies have investigated the associations between herpesviruses and chronic periodontitis; however, the results remain controversial. To derive a more precise estimation, a meta-analysis on all available studies was performed to identify the association between herpesviruses and chronic periodontitis. Methods A computerized literature search was conducted in December 2014 to identify eligible case-control studies from the PUBMED and EMBASE databases according to inclusion and exclusion criteria. Data were extracted and pooled odds ratios (OR) with 95% confidence intervals (CI) were used to assess the association between herpesviruses and risk of chronic periodontitis. A fixed or random effects model was determined based on a heterogeneity test. Sensitivity analysis was conducted to investigate stability and reliability. Publication bias was investigated using the Begg rank correlation test and Egger's funnel plot. Results Ten eligible studies were included to investigate the association between Epstein–Barr virus (EBV) and chronic periodontitis. The results showed that EBV has a significant association with chronic periodontitis compared with periodontally healthy group (OR = 5.74, 95% CI = 2.53–13.00, Pherpesvirus 7 (HHV-7) and chronic periodontitis risk (OR = 1.00, 95% CI = 0.21–4.86). Conclusion The findings of this meta-analysis suggest that two members of the herpesvirus family, EBV and HCMV, are significantly associated with chronic periodontitis. There is insufficient evidence to support associations between HSV, HHV-7 and chronic periodontitis. PMID:26666412
Neale, Benjamin M.; Medland, Sarah E.; Ripke, Stephan; Asherson, Philip; Franke, Barbara; Lesch, Klaus-Peter; Faraone, Stephen V.; Nguyen, Thuy Trang; Schafer, Helmut; Holmans, Peter; Daly, Mark; Steinhausen, Hans-Christoph; Freitag, Christine; Reif, Andreas; Renner, Tobias J.; Romanos, Marcel; Romanos, Jasmin; Walitza, Susanne; Warnke, Andreas; Meyer, Jobst; Palmason, Haukur; Buitelaar, Jan; Vasquez, Alejandro Arias; Lambregts-Rommelse, Nanda; Gill, Michael; Anney, Richard J. L.; Langely, Kate; O'Donovan, Michael; Williams, Nigel; Owen, Michael; Thapar, Anita; Kent, Lindsey; Sergeant, Joseph; Roeyers, Herbert; Mick, Eric; Biederman, Joseph; Doyle, Alysa; Smalley, Susan; Loo, Sandra; Hakonarson, Hakon; Elia, Josephine; Todorov, Alexandre; Miranda, Ana; Mulas, Fernando; Ebstein, Richard P.; Rothenberger, Aribert; Banaschewski, Tobias; Oades, Robert D.; Sonuga-Barke, Edmund; McGough, James; Nisenbaum, Laura; Middleton, Frank; Hu, Xiaolan; Nelson, Stan
Objective: Although twin and family studies have shown attention-deficit/hyperactivity disorder (ADHD) to be highly heritable, genetic variants influencing the trait at a genome-wide significant level have yet to be identified. As prior genome-wide association studies (GWAS) have not yielded significant results, we conducted a meta-analysis of…
SINGH, ANGAD PAL; ZAFER, SAMREEN; Pe’er, Itsik
Human genetics recently transitioned from GWAS to studies based on NGS data. For GWAS, small effects dictated large sample sizes, typically made possible through meta-analysis by exchanging summary statistics across consortia. NGS studies groupwise-test for association of multiple potentially-causal alleles along each gene. They are subject to similar power constraints and therefore likely to resort to meta-analysis as well. The problem arises when considering privacy of the genetic informati...
Lanktree, Matthew B.; Guo, Yiran; Murtaza, Muhammed; Glessner, Joseph T.; Bailey, Swneke D.; Onland-Moret, N. Charlotte; Lettre, Guillaume; Ongen, Halit; Rajagopalan, Ramakrishnan; Johnson, Toby; Shen, Haiqing; Nelson, Christopher P.; Klopp, Norman; Baumert, Jens; Padmanabhan, Sandosh; Pankratz, Nathan; Pankow, James S.; Shah, Sonia; Taylor, Kira; Barnard, John; Peters, Bas J.; Maloney, Cliona M.; Lobmeyer, Maximilian T.; Stanton, Alice; Zafarmand, M. Hadi; Romaine, Simon P. R.; Mehta, Amar; van Iperen, Erik P. A.; Gong, Yan; Price, Tom S.; Smith, Erin N.; Kim, Cecilia E.; Li, Yun R.; Asselbergs, Folkert W.; Atwood, Larry D.; Bailey, Kristian M.; Bhatt, Deepak; Bauer, Florianne; Behr, Elijah R.; Bhangale, Tushar; Boer, Jolanda M. A.; Boehm, Bernhard O.; Bradfield, Jonathan P.; Brown, Morris; Braund, Peter S.; Burton, Paul R.; Carty, Cara; Chandrupatla, Hareesh R.; Chen, Wei; Connell, John; Dalgeorgou, Chrysoula; de Boer, Anthonius; Drenos, Fotios; Elbers, Clara C.; Fang, James C.; Fox, Caroline S.; Frackelton, Edward C.; Fuchs, Barry; Furlong, Clement E.; Gibson, Quince; Gieger, Christian; Goe, Anuj; Grobbee, Diederik E.; Hastie, Claire; Howard, Philip J.; Huang, Guan-Hua; Johnson, W. Craig; Li, Qing; Kleber, Marcus E.; Klein, Barbara E. K.; Klein, Ronald; Kooperberg, Charles; Ky, Bonnie; LaCroix, Andrea; Lanken, Paul; Lathrop, Mark; Li, Mingyao; Marshal, Vanessa; Melander, Olle; Mentch, Frank D.; Meyer, Nuala J.; Monda, Keri L.; Montpetit, Alexandre; Murugesan, Gurunathan; Nakayama, Karen; Nondah, Dave; Onipinla, Abiodun; Rafelt, Suzanne; Newhouse, Stephen J.; Otieno, F. George; Patel, Sanjey R.; Putt, Mary E.; Rodriguez, Santiago; Safa, Radwan N.; Sawyer, Douglas B.; Schreiner, Pamela J.; Simpson, Claire; Sivapalaratnam, Suthesh; Srinivasan, Sathanur R.; Suver, Christine; Swergold, Gary; Sweitzer, Nancy K.; Thomas, Kelly A.; Thorand, Barbara; Timpson, Nicholas J.; Tischfield, Sam; Tobin, Martin; Tomaszweski, Maciej; Verschuren, W. M. Monique; Wallace, Chris; Winkelmann, Bernhard; Zhang, Haitao; Zheng, Dongling; Zhang, Li; Zmuda, Joseph M.; Clarke, Robert; Balmforth, Anthony J.; Danesh, John; Day, Ian N.; Schork, Nicholas J.; de Bakker, Paul I. W.; Delles, Christian; Duggan, David; Hingorani, Aroon D.; Hirschhorn, Joel N.; Hofker, Marten H.; Humphries, Steve E.; Kivimaki, Mika; Lawlor, Debbie A.; Kottke-Marchant, Kandice; Mega, Jessica L.; Mitchell, Braxton D.; Morrow, David A.; Palmen, Jutta; Redline, Susan; Shields, Denis C.; Shuldiner, Alan R.; Sleiman, Patrick M.; Smith, George Davey; Farrall, Martin; Jamshidi, Yalda; Christiani, David C.; Casas, Juan P.; Hall, Alistair S.; Doevendans, Pieter A.; Christie, Jason D.; Berenson, Gerald S.; Murray, Sarah S.; Illig, Thomas; Dorn, Gerald W.; Cappola, Thomas P.; Boerwinkle, Eric; Sever, Peter; Rader, Daniel J.; Reilly, Muredach P.; Caulfield, Mark; Talmud, Philippa J.; Topol, Eric; Engert, James C.; Wang, Kai; Dominiczak, Anna; Hamsten, Anders; Curtis, Sean P.; Silverstein, Roy L.; Lange, Leslie A.; Sabatine, Marc S.; Trip, Mieke; Saleheen, Danish; Peden, John F.; Cruickshanks, Karen J.; Maerz, Winfried; O'Connell, Jeffrey R.; Klungel, Olaf H.; Wijmenga, Cisca; Maitland-van der Zee, Anke Hilse; Schadt, Eric E.; Johnson, Julie A.; Jarvik, Gail P.; Papanicolaou, George J.; Watkins, Hugh; Grant, Struan F. A.; Munroe, Patricia B.; North, Kari E.; Samani, Nilesh J.; Koenig, Wolfgang; Gaunt, Tom R.; Anand, Sonia S.; van der Schouw, Yvonne T.; Kumari, Meena; Soranzo, Nicole; FitzGerald, Garret A.; Reiner, Alex; Hegele, Robert A.; Hakonarson, Hakon; Keating, Brendan J.
Height is a classic complex trait with common variants in a growing list of genes known to contribute to the phenotype. Using a genecentric genotyping array targeted toward cardiovascular-related loci, comprising 49,320 SNPs across approximately 2000 loci, we evaluated the association of common and
Lu, Zhaohua; Zhu, Hongtu; Knickmeyer, Rebecca C.; Sullivan, Patrick F.; Stephanie, Williams N.; Zou, Fei
The power of genome-wide association studies (GWAS) for mapping complex traits with single SNP analysis may be undermined by modest SNP effect sizes, unobserved causal SNPs, correlation among adjacent SNPs, and SNP-SNP interactions. Alternative approaches for testing the association between a single SNP-set and individual phenotypes have been shown to be promising for improving the power of GWAS. We propose a Bayesian latent variable selection (BLVS) method to simultaneously model the joint a...
Taravati, A; Tohidi, F
Zinc is proposed to have an important role in the morphology, viability and motility of spermatozoa. There are inconsistent reports on the association between seminal plasma zinc concentration and male infertility. For this purpose, papers reporting the level of seminal zinc among asthenozoospermic groups were selected and used for further analysis. This meta-analysis of previous published studies was performed to obtain more precise information on the association between seminal plasma zinc and asthenozoospermia. Relevant studies for inclusion were identified after preliminary investigation of research papers published on electronic databases up to February 2015. Eight reports and 475 subjects were finally included in the meta-analysis. In the overall analysis, a statistically significant reduction in seminal plasma zinc concentrations was observed in asthenozoospermic infertile men. Random-effects method was used to evaluate the summary effect size due to the presence of significant heterogeneity. The effect of zinc on asthenozoospermia was significant (Hedge's G effect size = -0.506, 95% confidence interval (95% CI): -0.998 to -0.014, P = 0.044). Taken together, despite of significant statistical heterogeneity between studies, our findings were indicative of significant association between zinc concentration and asthenozoospermia. In conclusion, the meta-analysis suggests that seminal plasma zinc concentration is negatively associated with male infertility. PMID:26541500
Neale, Benjamin M.; Medland, Sarah E.; Ripke, Stephan; Asherson, Philip; Franke, Barbara; Lesch, Klaus-Peter; Faraone, Stephen V.; Nguyen, Thuy Trang; Schaefer, Helmut; Holmans, Peter; Daly, Mark; STEINHAUSEN, HANS-CHRISTOPH; Freitag, Christine,; Reif, Andreas; Tobias J Renner
Objective: Although twin and family studies have shown attention-deficit/hyperactivity disorder (ADHD) to be highly heritable, genetic variants influencing the trait at a genome-wide significant level have yet to be identified. As prior genome-wide association studies (GWAS) have not yielded significant results, we conducted a meta-analysis of existing studies to boost statistical power. Method: We used data from four projects: a) the Children's Hospital of Philadelphia (CHOP); b) phase I of ...
Full Text Available BACKGROUND: Sleep duration has been shown to play an important role in the development of cancer. However, the results have been inconsistent. A meta-analysis with prospective cohort studies was performed to clarify the association between short or long sleep duration and cancer risk. METHODS: PubMed and Embase databases were searched for eligible publications. Pooled relative risk (RR with 95% confidence interval (CI was calculated using random- or fixed- model. RESULTS: A total of 10 prospective studies (8392 incident cases and 555678 participants were included in the meta-analysis. Neither short nor long sleep duration was statistically associated with increased risk of cancer (short sleep duration: RR=1.05, 95%CI=0.90-1.24, p=0.523; long sleep duration: RR=0.92, 95%CI=0.76-1.12, p=0.415. In the subgroup by cancer type, long sleep duration was positively associated with colorectal cancer (RR=1.29, 95%CI=1.09-1.52, p=0.003. CONCLUSION: The present meta-analysis suggested that neither short nor long sleep duration was significantly associated with risk of cancer, although long sleep duration increased risk of with colorectal cancer. Large-scale well-design prospective studies are required to be conducted to further investigate the observed association.
In studies in human genetics we want to answer questions such as: how important are genetic effects on a phenotype; what kind of action and interaction exists between gene products in the pathways between genotypes and phenotype; are the genetic effects on a phenotype consistent across sexes; do some genes have particularly outstanding effects when compared to others; what are the locations of the genes involved in the phenotype of interest ? Twin studies and association studies as described ...
Full Text Available Several epidemiological studies have determined the associations between coffee intake level and skin cancer risk; however, the results were not yet conclusive. Herein, we conducted a systematic review and meta-analysis of the cohort and case-control studies for the association between coffee intake level and malignant melanoma (MM risk.Studies were identified through searching the PubMed and MEDLINE databases (to November, 2015. Study-specific risk estimates were pooled under the random-effects model.Two case-control studies (846 MM patients and 843 controls and five cohort studies (including 844,246 participants and 5,737 MM cases were identified. For caffeinated coffee, the pooled relative risk (RR of MM was 0.81 [95% confidential interval (95% CI = 0.68-0.97; P-value for Q-test = 0.003; I2 = 63.5%] for those with highest versus lowest quantity of intake. In the dose-response analysis, the RR of MM was 0.955 (95% CI = 0.912-0.999 for per 1 cup/day increment of caffeinated coffee consumption and linearity dose-response association was found (P-value for nonlinearity = 0.326. Strikingly, no significant association was found between the decaffeinated coffee intake level and MM risk (pooled RR = 0.92, 95% CI = 0.81-1.05; P-value for Q-test = 0.967; I2 = 0%; highest versus lowest quantity of intake.This meta-analysis suggested that caffeinated coffee might have chemo-preventive effects against MM but not decaffeinated coffee. However, larger prospective studies and the intervention studies are warranted to confirm these findings.
Liu, Jibin; Shen, Biao; Shi, Minxin; Cai, Jing
Background Several epidemiological studies have determined the associations between coffee intake level and skin cancer risk; however, the results were not yet conclusive. Herein, we conducted a systematic review and meta-analysis of the cohort and case-control studies for the association between coffee intake level and malignant melanoma (MM) risk. Methods Studies were identified through searching the PubMed and MEDLINE databases (to November, 2015). Study-specific risk estimates were pooled under the random-effects model. Results Two case-control studies (846 MM patients and 843 controls) and five cohort studies (including 844,246 participants and 5,737 MM cases) were identified. For caffeinated coffee, the pooled relative risk (RR) of MM was 0.81 [95% confidential interval (95% CI) = 0.68–0.97; P-value for Q-test = 0.003; I2 = 63.5%] for those with highest versus lowest quantity of intake. In the dose-response analysis, the RR of MM was 0.955 (95% CI = 0.912–0.999) for per 1 cup/day increment of caffeinated coffee consumption and linearity dose-response association was found (P-value for nonlinearity = 0.326). Strikingly, no significant association was found between the decaffeinated coffee intake level and MM risk (pooled RR = 0.92, 95% CI = 0.81–1.05; P-value for Q-test = 0.967; I2 = 0%; highest versus lowest quantity of intake). Conclusions This meta-analysis suggested that caffeinated coffee might have chemo-preventive effects against MM but not decaffeinated coffee. However, larger prospective studies and the intervention studies are warranted to confirm these findings. PMID:26816289
Neale, Benjamin M; Medland, Sarah E.; Ripke, Stephan; Asherson, Philip; Franke, Barbara; Lesch, Klaus-Peter; Faraone, Stephen V.; Nguyen, Thuy Trang; Schäfer, Helmut; Holmans, Peter; Daly, Mark; Steinhausen, Hans-Christoph; Freitag, Christine; Reif, Andreas; Renner, Tobias J.; Romanos, Marcel; Romanos, Jasmin; Walitza, Susanne; Warnke, Andreas; Meyer, Jobst; Palmason, Haukur; Buitelaar, Jan; Vasquez, Alejandro Arias; Lambregts-Rommelse, Nanda; Gill, Michael; Anney, Richard J.L.; Langely, Kate; O’Donovan, Michael; Williams, Nigel; Owen, Michael; Thapar, Anita; Kent, Lindsey; Sergeant, Joseph; Roeyers, Herbert; Mick, Eric; Biederman, Joseph; Doyle, Alysa; Smalley, Susan; Loo, Sandra; Hakonarson, Hakon; Elia, Josephine; Todorov, Alexandre; Miranda, Ana; Mulas, Fernando; Ebstein, Richard P.; Rothenberger, Aribert; Banaschewski, Tobias; Oades, Robert D.; Sonuga-Barke, Edmund; McGough, James; Nisenbaum, Laura; Middleton, Frank; Hu, Xiaolan; Nelson, Stan
Objective Although twin and family studies have shown Attention Deficit/Hyperactivity Disorder (ADHD) to be highly heritable, genetic variants influencing the trait at a genome-wide significant level have yet to be identified. As prior genome-wide association scans (GWAS) have not yielded significant results, we conducted a meta-analysis of existing studies to boost statistical power. Method We used data from four projects: a) the Children’s Hospital of Philadelphia (CHOP), b) phase I of the International Multicenter ADHD Genetics project (IMAGE), c) phase II of IMAGE (IMAGE II), and d) the Pfizer funded study from the University of California, Los Angeles, Washington University and the Massachusetts General Hospital (PUWMa). The final sample size consisted of 2,064 trios, 896 cases and 2,455 controls. For each study, we imputed HapMap SNPs, computed association test statistics and transformed them to Z-scores, and then combined weighted Z-scores in a meta-analysis. Results No genome-wide significant associations were found, although an analysis of candidate genes suggests they may be involved in the disorder. Conclusions Given that ADHD is a highly heritable disorder, our negative results suggest that the effects of common ADHD risk variants must, individually, be very small or that other types of variants, e.g. rare ones, account for much of the disorder’s heritability. PMID:20732625
Kao Jau-Tsuen; Chen Yi-Hau
Abstract Background The genetic association analysis using haplotypes as basic genetic units is anticipated to be a powerful strategy towards the discovery of genes predisposing human complex diseases. In particular, the increasing availability of high-resolution genetic markers such as the single-nucleotide polymorphisms (SNPs) has made haplotype-based association analysis an attractive alternative to single marker analysis. Results We consider haplotype association analysis under the popula...
Yan Lu; Nong Tian; Jie Yin; Yuhua Shi; Zhenping Huang
BACKGROUND: Sleep duration has been shown to play an important role in the development of cancer. However, the results have been inconsistent. A meta-analysis with prospective cohort studies was performed to clarify the association between short or long sleep duration and cancer risk. METHODS: PubMed and Embase databases were searched for eligible publications. Pooled relative risk (RR) with 95% confidence interval (CI) was calculated using random- or fixed- model. RESULTS: A total of 10 pros...
Gao, Feng; Chang, Diana; Biddanda, Arjun; Ma, Li; Guo, Yingjie; Zhou, Zilu; Keinan, Alon
XWAS is a new software suite for the analysis of the X chromosome in association studies and similar genetic studies. The X chromosome plays an important role in human disease and traits of many species, especially those with sexually dimorphic characteristics. Special attention needs to be given to its analysis due to the unique inheritance pattern, which leads to analytical complications that have resulted in the majority of genome-wide association studies (GWAS) either not considering X or mishandling it with toolsets that had been designed for non-sex chromosomes. We hence developed XWAS to fill the need for tools that are specially designed for analysis of X. Following extensive, stringent, and X-specific quality control, XWAS offers an array of statistical tests of association, including: 1) the standard test between a SNP (single nucleotide polymorphism) and disease risk, including after first stratifying individuals by sex, 2) a test for a differential effect of a SNP on disease between males and females, 3) motivated by X-inactivation, a test for higher variance of a trait in heterozygous females as compared with homozygous females, and 4) for all tests, a version that allows for combining evidence from all SNPs across a gene. We applied the toolset analysis pipeline to 16 GWAS datasets of immune-related disorders and 7 risk factors of coronary artery disease, and discovered several new X-linked genetic associations. XWAS will provide the tools and incentive for others to incorporate the X chromosome into GWAS and similar studies in any species with an XX/XY system, hence enabling discoveries of novel loci implicated in many diseases and in their sexual dimorphism. PMID:26268243
Hou, Lina; LI Fei; Wang, Yuanyuan; Ou, Zejin; Xu, Dingli; Tan, Wanlong; Dai, Meng
The associations of dietary patterns with coronary heart disease (CHD) risk remain unclear. Thereby, a meta-analysis was conducted to examine potential relations between dietary patterns and CHD. PubMed and EMBASE databases were searched up to March 2014 for eligible prospective cohort studies regarding the relationships between common dietary patterns and CHD. Random-effects models were applied to calculate the summary relative risk estimates (SRRE) for the highest versus the lowest category...
Gaye, Amadou; Burton, Thomas W. Y.; Burton, Paul R
Motivation: Very large studies are required to provide sufficiently big sample sizes for adequately powered association analyses. This can be an expensive undertaking and it is important that an accurate sample size is identified. For more realistic sample size calculation and power analysis, the impact of unmeasured aetiological determinants and the quality of measurement of both outcome and explanatory variables should be taken into account. Conventional methods to analyse power use closed-...
Xiao, Y; Li, S-L; Lin, H-L; Lin, Z-F; Zhu, X-Z; Fan, J-Y; Gao, K; Zhang, H-L; Lin, L-R; Liu, L-L; Tong, M-L; Niu, J-J; Yang, T-C
This study aimed to comprehensively evaluate factors that influence the likelihood of syphilis infection from risk-taking behaviours and medical conditions. A retrospective case-control study was conducted by enrolling 664 syphilis inpatients (excluding 11 congenital syphilis patients) and 800 sex- and age-matched controls. Medical histories, clinical data and patient interview data were collected and subjected to logistic regression analyses. The prevalence of syphilis in the study population was 3·9% (675/17 304). By univariate analysis, syphilis infection was associated with migration between cities, marital status, smoking, reproductive history, hypertension, elevated blood urea nitrogen (BUN) and infection with hepatitis B virus (HBV) (P syphilis-HBV co-infection was observed in HIV-negative patients and further research revealed an association between syphilis and specific HBV serological reactivity. Syphilis was also associated with the frequency, duration and status of tobacco use. Multivariate analysis indicated that syphilis infection was independently associated with migration between cities [adjusted odds ratio (aOR) 1·368, 95% confidence interval (CI) 1·048-1·785], current smoking (aOR 1·607, 95% CI 1·177-2·195), elevated BUN (aOR 1·782, 95% CI 1·188-2·673) and some serological patterns of HBV infection. To prevent the spread of infectious diseases, inpatients and blood donors should be tested for HIV, syphilis, HBV and HCV simultaneously. PMID:26467944
Yang, Xiaohong R; Chang-Claude, Jenny; Goode, Ellen L;
Previous studies have suggested that breast cancer risk factors are associated with estrogen receptor (ER) and progesterone receptor (PR) expression status of the tumors.......Previous studies have suggested that breast cancer risk factors are associated with estrogen receptor (ER) and progesterone receptor (PR) expression status of the tumors....
Full Text Available Abstract Background It is increasingly clear that common human diseases have a complex genetic architecture characterized by both additive and nonadditive genetic effects. The goal of the present study was to determine whether patterns of both additive and nonadditive genetic associations aggregate in specific functional groups as defined by the Gene Ontology (GO. Results We first estimated all pairwise additive and nonadditive genetic effects using the multifactor dimensionality reduction (MDR method that makes few assumptions about the underlying genetic model. Statistical significance was evaluated using permutation testing in two genome-wide association studies of ALS. The detection data consisted of 276 subjects with ALS and 271 healthy controls while the replication data consisted of 221 subjects with ALS and 211 healthy controls. Both studies included genotypes from approximately 550,000 single-nucleotide polymorphisms (SNPs. Each SNP was mapped to a gene if it was within 500 kb of the start or end. Each SNP was assigned a p-value based on its strongest joint effect with the other SNPs. We then used the Exploratory Visual Analysis (EVA method and software to assign a p-value to each gene based on the overabundance of significant SNPs at the α = 0.05 level in the gene. We also used EVA to assign p-values to each GO group based on the overabundance of significant genes at the α = 0.05 level. A GO category was determined to replicate if that category was significant at the α = 0.05 level in both studies. We found two GO categories that replicated in both studies. The first, ‘Regulation of Cellular Component Organization and Biogenesis’, a GO Biological Process, had p-values of 0.010 and 0.014 in the detection and replication studies, respectively. The second, ‘Actin Cytoskeleton’, a GO Cellular Component, had p-values of 0.040 and 0.046 in the detection and replication studies, respectively. Conclusions Pathway
Brett A McKinney
Full Text Available Evidence from human genetic studies of several disorders suggests that interactions between alleles at multiple genes play an important role in influencing phenotypic expression. Analytical methods for identifying Mendelian disease genes are not appropriate when applied to common multigenic diseases, because such methods investigate association with the phenotype only one genetic locus at a time. New strategies are needed that can capture the spectrum of genetic effects, from Mendelian to multifactorial epistasis. Random Forests (RF and Relief-F are two powerful machine-learning methods that have been studied as filters for genetic case-control data due to their ability to account for the context of alleles at multiple genes when scoring the relevance of individual genetic variants to the phenotype. However, when variants interact strongly, the independence assumption of RF in the tree node-splitting criterion leads to diminished importance scores for relevant variants. Relief-F, on the other hand, was designed to detect strong interactions but is sensitive to large backgrounds of variants that are irrelevant to classification of the phenotype, which is an acute problem in genome-wide association studies. To overcome the weaknesses of these data mining approaches, we develop Evaporative Cooling (EC feature selection, a flexible machine learning method that can integrate multiple importance scores while removing irrelevant genetic variants. To characterize detailed interactions, we construct a genetic-association interaction network (GAIN, whose edges quantify the synergy between variants with respect to the phenotype. We use simulation analysis to show that EC is able to identify a wide range of interaction effects in genetic association data. We apply the EC filter to a smallpox vaccine cohort study of single nucleotide polymorphisms (SNPs and infer a GAIN for a collection of SNPs associated with adverse events. Our results suggest an important
El-Abbas, Mustafa M.; Csaplovics, Elmar; Deafalla, Taisser H.
Nowadays, remote-sensing technologies are becoming increasingly interlinked to the issue of deforestation. They offer a systematized and objective strategy to document, understand and simulate the deforestation process and its associated causes. In this context, the main goal of this study, conducted in the Blue Nile region of Sudan, in which most of the natural habitats were dramatically destroyed, was to develop spatial methodologies to assess the deforestation dynamics and its associated factors. To achieve that, optical multispectral satellite scenes (i.e., ASTER and LANDSAT) integrated with field survey in addition to multiple data sources were used for the analyses. Spatiotemporal Object Based Image Analysis (STOBIA) was applied to assess the change dynamics within the period of study. Broadly, the above mentioned analyses include; Object Based (OB) classifications, post-classification change detection, data fusion, information extraction and spatial analysis. Hierarchical multi-scale segmentation thresholds were applied and each class was delimited with semantic meanings by a set of rules associated with membership functions. Consequently, the fused multi-temporal data were introduced to create detailed objects of change classes from the input LU/LC classes. The dynamic changes were quantified and spatially located as well as the spatial and contextual relations from adjacent areas were analyzed. The main finding of the present study is that, the forest areas were drastically decreased, while the agrarian structure in conversion of forest into agricultural fields and grassland was the main force of deforestation. In contrast, the capability of the area to recover was clearly observed. The study concludes with a brief assessment of an 'oriented' framework, focused on the alarming areas where serious dynamics are located and where urgent plans and interventions are most critical, guided with potential solutions based on the identified driving forces.
Lu, Wenbin; Tzeng, Jung-Ying
Genetic association analyses of rare variants in next-generation sequencing (NGS) studies are fundamentally challenging due to the presence of a very large number of candidate variants at extremely low minor allele frequencies. Recent developments often focus on pooling multiple variants to provide association analysis at the gene instead of the locus level. Nonetheless, pinpointing individual variants is a critical goal for genomic researches as such information can facilitate the precise delineation of molecular mechanisms and functions of genetic factors on diseases. Due to the extreme rarity of mutations and high-dimensionality, significances of causal variants cannot easily stand out from those of noncausal ones. Consequently, standard false-positive control procedures, such as the Bonferroni and false discovery rate (FDR), are often impractical to apply, as a majority of the causal variants can only be identified along with a few but unknown number of noncausal variants. To provide informative analysis of individual variants in large-scale sequencing studies, we propose the Adaptive False-Negative Control (AFNC) procedure that can include a large proportion of causal variants with high confidence by introducing a novel statistical inquiry to determine those variants that can be confidently dispatched as noncausal. The AFNC provides a general framework that can accommodate for a variety of models and significance tests. The procedure is computationally efficient and can adapt to the underlying proportion of causal variants and quality of significance rankings. Extensive simulation studies across a plethora of scenarios demonstrate that the AFNC is advantageous for identifying individual rare variants, whereas the Bonferroni and FDR are exceedingly over-conservative for rare variants association studies. In the analyses of the CoLaus dataset, AFNC has identified individual variants most responsible for gene-level significances. Moreover, single-variant results
Full Text Available Yu Pan,1,2,* Wenpeng Cai,1,* Qi Cheng,3,* Wei Dong,1 Ting An,4 Jin Yan1 1Department of Psychology and Mental Health, Second Military Medical University, Shanghai, 2Department of Psychology, Peoples Liberation Army General Hospital, Beijing, 3Department of Child and Adolescent Behavioral Medicine, The 102 Hospital of PLA, Changzhou, 4Department of Internal Medicine, The PLA Second Artillery Force General Hospital, Beijing, People’s Republic of China *These authors contributed equally to this work Background: Epidemiological studies have repeatedly investigated the association between anxiety and hypertension. However, the results have been inconsistent. This study aimed to summarize the current evidence from cross-sectional and prospective studies that evaluated this association. Methods: Seven common databases were searched for articles published up to November 2014. Cross-sectional and prospective studies that reported an association between the two conditions in adults were included. Data on prevalence, incidence, unadjusted or adjusted odds ratios or hazard ratios, and 95% confidence intervals (CIs were extracted or calculated by the authors. The pooled odds ratio was calculated separately for cross-sectional and prospective studies using random-effects models. The Q test and I2 statistic was used to assess heterogeneity. A funnel plot and modified Egger linear regression test were used to estimate publication bias. Results: The search yielded 13 cross-sectional studies (n=151,389, and the final pooled odds ratio was 1.18 (95% CI 1.02–1.37; PQ<0.001; I2=84.9%. Eight prospective studies with a total sample size of 80,146 and 2,394 hypertension case subjects, and the pooled adjusted hazard ratio was 1.55 (95% CI 1.24–1.94; PQ<0.001; I2=84.6%. The meta-regression showed that location, diagnostic criteria for anxiety, age, sex, sample size, year of publication, quality, and years of follow-up (for prospective study were not
Full Text Available In the last years, the interest in technologies such as in-memory analytics and associative search has increased. This paper explores how you can use in-memory analytics and an associative model in statistics. The word “associative” puts the emphasis on understanding how datasets relate to one another. The paper presents the main characteristics of “associative” data model. Also, the paper presents how to design an associative model for labor market indicators analysis. The source is the EU Labor Force Survey. Also, this paper presents how to make associative analysis.
Shang, Weifeng; Ning, Yong; Xu, Xiu; Li, Menglan; Guo, Shuiming; Han, Min; Zeng, Rui; Ge, Shuwang; Xu, Gang
Objective The purpose of this paper is to examine cancer incidence in patients with ANCA-associated vasculitis (AASV) derived from population-based cohort studies by means of meta-analysis. Methods Relevant electronic databases were searched for studies characterizing the associated risk of overall malignancy in patients with AASV. Standardized incidence rates (SIRs) with 95% confidence intervals (CIs) were used to evaluate the strength of association. We tested for publication bias and heterogeneity and stratified for site-specific cancers. Results Six studies (n = 2,578) were eventually identified, of which six provided the SIR for overall malignancy, five reported the SIR for non-melanoma skin cancer (NMSC), four for leukemia, five for bladder cancer, three for lymphoma, three for liver cancer, four for lung cancer, three for kidney cancer, four for prostate cancer, four for colon cancer and four for breast cancer. Overall, the pooled SIR of cancer in AASV patients was 1.74 (95%CI = 1.37–2.21), with moderate heterogeneity among these studies (I2 = 65.8%, P = 0.012). In sub-analyses for site-specific cancers, NMSC, leukemia and bladder cancer were more frequently observed in patients with AASV with SIR of 5.18 (95%CI = 3.47–7.73), 4.89 (95%CI = 2.93–8.16) and 3.84 (95%CI = 2.72–5.42) respectively. There was no significant increase in the risk of kidney cancer (SIR = 2.12, 95%CI = 0.66–6.85), prostate cancer (SIR = 1.45, 95%CI = 0.87–2.42), colon cancer (SIR = 1.26, 95%CI = 0.70–2.27), and breast cancer (SIR = 0.95, 95%CI = 0.50–1.79). Among these site-specific cancers, only NMSC showed moderate heterogeneity (I2 = 55.8%, P = 0.06). No publication bias was found by using the Begg’s test and Egger's test. Conclusions This meta-analysis shows that AASV patients treatment with cyclophosphamide (CYC) are at increased risk of late-occurring malignancies, particularly of the NMSC, leukemia and bladder cancer. However, there is no significant
A quantitative analysis of torrential rainfall associated with typhoon Haitang (2005) is carried out using a modified moist ageostrophic Q vector and data from Weather Research and Forecasting (WRF) model simulation.Four major factors determining the ascending motion associated with torrential rainfall have been studied:large-scale and convective condensational heating,topographic lifting and friction.The results show that the convective condensational heating plays a major role in the torrential rainfall process,and the large-scale condensational heating is secondary before the landfall of typhoon Haitang,and vice versa after the landfall.The topographic lifting affects the formation of rainfall,whereas the topographic friction has important impacts on torrential rainfall after the landfall.The rainfall amounts forced by the topographic friction and lifting have similar horizontal distributions,but the magnitudes of the former are 2-3 times larger than those of the latter.The rainfall amounts forced by topography (lifting and friction) and modified moist ageostrophic Q vector have different horizontal distributions,and the magnitudes of the former are 2-5 times larger than those of the latter.Synthetic analysis shows that the typhoon rainfall may be motivated by modified moist ageostrophic Q vector and enhanced further by the topographic effects.
Although prospective logistic regression is the standard method of analysis for case-control data, it has been recently noted that in genetic epidemiologic studies one can use the "retrospective" likelihood to gain major power by incorporating various population genetics model assumptions such as Hardy-Weinberg-Equilibrium (HWE), gene-gene and gene-environment independence. In this article we review these modern methods and contrast them with the more classical approaches through two types of applications (i) association tests for typed and untyped single nucleotide polymorphisms (SNPs) and (ii) estimation of haplotype effects and haplotype-environment interactions in the presence of haplotype-phase ambiguity. We provide novel insights to existing methods by construction of various score-tests and pseudo-likelihoods. In addition, we describe a novel two-stage method for analysis of untyped SNPs that can use any flexible external algorithm for genotype imputation followed by a powerful association test based on the retrospective likelihood. We illustrate applications of the methods using simulated and real data. © Institute of Mathematical Statistics, 2009.
Maria José Penna Maisonnette de Attayde Silva
Full Text Available OBJECTIVE: To evaluate the effect of Chlamydia trachomatis infection during pregnancy on perinatal morbidity and mortality. METHODS: Systematic review and meta-analysis in an electronic database and manual, combining high sensitivity specific descriptors seeking to answer the research objective. The articles considered to be of high methodological quality (score above 6 on the Newcastle-Ottawa Scale were assessed by meta-analysis. RESULTS: Summary estimates of 12 studies were calculated by means of Mantel-Haenszel test with 95% confidence interval. It was observed that Chlamydia infection during pregnancy increased risk of preterm labor (relative risk (RR = 1.35 [1.11, 1.63], low birth weight (RR = 1.52 [1.24, 1.87] and perinatal mortality (RR = 1.84 [1.15, 2.94]. No evidence of increased risk was associated with Chlamydia infection in regard to premature rupture of membranes (RR = 1.13 [0.95, 1.34], abortion and postpartum endometritis (RR = 1.20 [0.65, 2.20] and 0.89 [0.49, 1.61] respectively. CONCLUSION: The diagnosis and treatment of Chlamydia cervicitis during pregnancy can reduce perinatal morbidity and mortality associated with this infection. However, clinical trials are needed to confirm these findings.
Fan, Bao J; Pasquale, Louis R; Kang, Jae H; Levkovitch-Verbin, Hani; Haines, Jonathan L; Wiggs, Janey L
Exfoliation syndrome (XFS) is an important risk factor for glaucoma (XFG) worldwide. LOXL1 variants are highly associated with XFS in most populations; however, the high frequency of risk alleles in normal individuals and the reversal of risk alleles in different ethnic populations suggest that other factors contribute to XFS pathogenesis. Clusterin (CLU) is an extracellular matrix chaperone that prevents protein aggregation and is highly expressed in ocular tissues affected by XFS. Studies examining common CLU variants for association with XFS have been inconsistent. The purpose of this study was to evaluate CLU variants for association with XFS in two independent datasets from the United States (222 cases and 344 controls) and Israel (92 cases and 102 controls). Seven tag SNPs that captured >95% of alleles at r(2) greater than 0.8 across the CLU genomic region were genotyped using TaqMan assays. Genotypes for an additional SNP, rs2279590, were imputed using phased haplotypes of HapMap reference CEU samples. Of the 8 CLU SNPs selected for the study, none were significantly associated with XFS in either case-control group (age and sex adjusted P > 0.14 and 0.36, respectively, in the US and Israeli datasets), or when they were meta-analyzed together (age and sex adjusted P > 0.13). Haplotype analysis using all 8 SNPs or only the promoter region SNPs also did not show significant associations of CLU with XFS in the combined US and Israeli dataset (P > 0.28). Meta-analysis of the data from this study and previous studies in Caucasian populations (1184 cases and 978 controls) resulted in statistically significant association of rs2279590 with XFS (summary OR = 1.18, 95% CI: 1.03-1.33, P = 0.01). Significant association between rs2279590 and XFS was also found in Indian populations (summary OR = 0.76, 95% CI: 0.61-0.96; P = 0.02); however, significant heterogeneity between the Caucasian and Indian populations possibly due to reversal of the risk allele
Li, Donghui; Duell, Eric J.; Yu, Kai; Risch, Harvey A.; Olson, Sara H.; Kooperberg, Charles; Wolpin, Brian M.; Jiao, Li; Dong, Xiaoqun; Wheeler, Bill; Arslan, Alan A.; Bueno-De-Mesquita, H Bas; Fuchs, Charles S; Gallinger, Steven; Gross, Myron
Four loci have been associated with pancreatic cancer through genome-wide association studies (GWAS). Pathway-based analysis of GWAS data is a complementary approach to identify groups of genes or biological pathways enriched with disease-associated single-nucleotide polymorphisms (SNPs) whose individual effect sizes may be too small to be detected by standard single-locus methods. We used the adaptive rank truncated product method in a pathway-based analysis of GWAS data from 3851 pancreatic...
Sinha, Dhirendra N; Abdulkader, Rizwan Suliankatchi; Gupta, Prakash C
The International Agency for Research on Cancer (IARC) has concluded that there is sufficient evidence in humans for the carcinogenicity of smokeless tobacco (SLT) for mouth, oesophagus and pancreas, based largely on Western studies. We wanted to confirm this by conducting a systematic review using Indian studies because India faces the biggest brunt of SLT-attributable health effects. A systematic search was conducted for published and unpublished studies. Two authors independently reviewed the studies and extracted data. Summary odds ratio (OR) for each cancer type was calculated using fixed and random effects model. The population attributable fraction (PAF) method was used to calculate the attributable burden of incident cases. A significant association was found for oral-5.55 (5.07, 6.07), pharyngeal-2.69 (2.28, 3.17), laryngeal-2.84 (2.18, 3.70), oesophageal-3.17 (2.76, 3.63) and stomach-1.26 (1.00, 1.60) cancers. But in random effects model, laryngeal-1.79 (0.70, 4.54) and stomach-1.31 (0.92, 1.87) cancers became non-significantly associated. Gender-wise analysis revealed that women had a higher risk (OR = 12.0 vs. 5.16) of oral but a lower risk (1.9 vs. 4.5) of oesophageal cancer compared with men. For oral cancer, studies that adjusted for smoking, alcohol and other factors reported a significantly lower OR compared with studies that adjusted for smoking only or smoking and alcohol only (3.9 vs. 8.4). The annual number of attributable cases was calculated as 49,192 (PAF = 60%) for mouth, 14,747 (51%) for pharynx, 11,825 (40%) for larynx, 14,780 (35%) for oesophagus and 3,101 (8%) for stomach. PMID:26443187
Amin Al Olama, Ali; Kote-Jarai, Zsofia; Schumacher, Fredrick R;
Genome-wide association studies (GWAS) have identified multiple common genetic variants associated with an increased risk of prostate cancer (PrCa), but these explain less than one-third of the heritability. To identify further susceptibility alleles, we conducted a meta-analysis of four GWAS inc...
Yang, Xiaohong R.; Chang-Claude, Jenny; Goode, Ellen L.; Couch, Fergus J.; Nevanlinna, Heli; Milne, Roger L.; Gaudet, Mia; Schmidt, Marjanka K.; Broeks, Annegien; Cox, Angela; Fasching, Peter A.; Hein, Rebecca; Spurdle, Amanda B.; Blows, Fiona; Driver, Kristy; Flesch-Janys, Dieter; Heinz, Judith; Sinn, Peter; Vrieling, Alina; Heikkinen, Tuomas; Aittomaeki, Kristiina; Heikkilae, Paeivi; Blomqvist, Carl; Lissowska, Jolanta; Peplonska, Beata; Chanock, Stephen; Figueroa, Jonine; Brinton, Louise; Hall, Per; Czene, Kamila; Humphreys, Keith; Darabi, Hatef; Liu, Jianjun; Van 't Veer, Laura J.; Van Leeuwen, Flora E.; Andrulis, Irene L.; Glendon, Gord; Knight, Julia A.; Mulligan, Anna Marie; O'Malley, Frances P.; Weerasooriya, Nayana; John, Esther M.; Beckmann, Matthias W.; Hartmann, Arndt; Weihbrecht, Sebastian B.; Wachter, David L.; Jud, Sebastian M. S.; Loehberg, Christian R.; Baglietto, Laura; English, Dallas R.; Giles, Graham G.; McLean, Catriona A.; Severi, Gianluca; Lambrechts, Diether; Vandorpe, Thijs; Weltens, Caroline; Paridaens, Robert; Smeets, Ann; Neven, Patrick; Wildiers, Hans; Wang, Xianshu; Olson, Janet E.; Cafourek, Victoria; Fredericksen, Zachary; Kosel, Matthew; Vachon, Celine; Cramp, Helen E.; Connley, Daniel; Cross, Simon S.; Balasubramanian, Sabapathy P.; Reed, Malcolm W. R.; Doerk, Thilo; Bremer, Michael; Meyer, Andreas; Karstens, Johann H.; Ay, Aysun; Park-Simon, Tjoung-Won; Hillemanns, Peter; Arias Perez, Jose Ignacio; Menendez Rodriguez, Primitiva; Zamora, Pilar; Bentez, Javier; Ko, Yon-Dschun; Fischer, Hans-Peter; Hamann, Ute; Pesch, Beate; Bruening, Thomas; Justenhoven, Christina; Brauch, Hiltrud; Eccles, Diana M.; Tapper, William J.; Gerty, Sue M.; Sawyer, Elinor J.; Tomlinson, Ian P.; Jones, Angela; Kerin, Michael; Miller, Nicola; McInerney, Niall; Anton-Culver, Hoda; Ziogas, Argyrios; Shen, Chen-Yang; Hsiung, Chia-Ni; Wu, Pei-Ei; Yang, Show-Lin; Yu, Jyh-Cherng; Chen, Shou-Tung; Hsu, Giu-Cheng; Haiman, Christopher A.; Henderson, Brian E.; Le Marchand, Loic; Kolonel, Laurence N.; Lindblom, Annika; Margolin, Sara; Jakubowska, Anna; Lubinski, Jan; Huzarski, Tomasz; Byrski, Tomasz; Gorski, Bohdan; Gronwald, Jacek; Hooning, Maartje J.; Hollestelle, Antoinette; van den Ouweland, Ans M. W.; Jager, Agnes; Kriege, Mieke; Tilanus-Linthorst, Madeleine M. A.; Collee, Margriet; Wang-Gohrke, Shan; Pylkaes, Katri; Jukkola-Vuorinen, Arja; Mononen, Kari; Grip, Mervi; Hirvikoski, Pasi; Winqvist, Robert; Mannermaa, Arto; Kosma, Veli-Matti; Kauppinen, Jaana; Kataja, Vesa; Auvinen, Paeivi; Soini, Ylermi; Sironen, Reijo; Bojesen, Stig E.; Orsted, David Dynnes; Kaur-Knudsen, Diljit; Flyger, Henrik; Nordestgaard, Borge G.; Holland, Helene; Chenevix-Trench, Georgia; Manoukian, Siranoush; Barile, Monica; Radice, Paolo; Hankinson, Susan E.; Hunter, David J.; Tamimi, Rulla; Sangrajrang, Suleeporn; Brennan, Paul; Mckay, James; Odefrey, Fabrice; Gaborieau, Valerie; Devilee, Peter; Huijts, P. E. A.; Tollenaar, R. A. E. M.; Seynaeve, C.; Dite, Gillian S.; Apicella, Carmel; Hopper, John L.; Hammet, Fleur; Tsimiklis, Helen; Smith, Letitia D.; Southey, Melissa C.; Humphreys, Manjeet K.; Easton, Douglas; Pharoah, Paul; Sherman, Mark E.; Garcia-Closas, Montserrat
Background Previous studies have suggested that breast cancer risk factors are associated with estrogen receptor (ER) and progesterone receptor (PR) expression status of the tumors. Methods We pooled tumor marker and epidemiological risk factor data from 35 568 invasive breast cancer case patients f
Potkin Steven G
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
Summary Background The epilepsies are a clinically heterogeneous group of neurological disorders. Despite strong evidence for heritability, genome-wide association studies have had little success in identification of risk loci associated with epilepsy, probably because of relatively small sample sizes and insufficient power. We aimed to identify risk loci through meta-analyses of genome-wide association studies for all epilepsy and the two largest clinical subtypes (genetic generalised epilep...
Pickrell, Joseph K.
Annotations of gene structures and regulatory elements can inform genome-wide association studies (GWASs). However, choosing the relevant annotations for interpreting an association study of a given trait remains challenging. I describe a statistical model that uses association statistics computed across the genome to identify classes of genomic elements that are enriched with or depleted of loci influencing a trait. The model naturally incorporates multiple types of annotations. I applied th...
Wu, Michael C.; Kraft, Peter; Epstein, Michael P.; Deanne M Taylor; Chanock, Stephen J.; Hunter, David J.; Lin, Xihong
GWAS have emerged as popular tools for identifying genetic variants that are associated with disease risk. Standard analysis of a case-control GWAS involves assessing the association between each individual genotyped SNP and disease risk. However, this approach suffers from limited reproducibility and difficulties in detecting multi-SNP and epistatic effects. As an alternative analytical strategy, we propose grouping SNPs together into SNP sets on the basis of proximity to genomic features su...
Ripke, Stephan; Wray, Naomi R; Lewis, Cathryn M; Hamilton, Steven P; Weissman, Myrna M; Breen, Gerome; Byrne, Enda M; Blackwood, Douglas H R; Boomsma, Dorret I; Cichon, Sven; Heath, Andrew C; Holsboer, Florian; Lucae, Susanne; Madden, Pamela A F; Martin, Nicholas G; McGuffin, Peter; Muglia, Pierandrea; Noethen, Markus M; Penninx, Brenda P; Pergadia, Michele L; Potash, James B; Rietschel, Marcella; Lin, Danyu; Müller-Myhsok, Bertram; Shi, Jianxin; Steinberg, Stacy; Grabe, Hans J; Lichtenstein, Paul; Magnusson, Patrik; Perlis, Roy H; Preisig, Martin; Smoller, Jordan W; Stefansson, Kari; Uher, Rudolf; Kutalik, Zoltan; Tansey, Katherine E; Teumer, Alexander; Viktorin, Alexander; Barnes, Michael R; Bettecken, Thomas; Binder, Elisabeth B; Breuer, René; Castro, Victor M; Churchill, Susanne E; Coryell, William H; Craddock, Nick; Craig, Ian W; Czamara, Darina; De Geus, Eco J; Degenhardt, Franziska; Farmer, Anne E; Fava, Maurizio; Frank, Josef; Gainer, Vivian S; Gallagher, Patience J; Gordon, Scott D; Goryachev, Sergey; Gross, Magdalena; Guipponi, Michel; Henders, Anjali K; Herms, Stefan; Hickie, Ian B; Hoefels, Susanne; Hoogendijk, Witte; Hottenga, Jouke Jan; Iosifescu, Dan V; Ising, Marcus; Jones, Ian; Jones, Lisa; Jung-Ying, Tzeng; Knowles, James A; Kohane, Isaac S; Kohli, Martin A; Korszun, Ania; Landen, Mikael; Lawson, William B; Lewis, Glyn; Macintyre, Donald; Maier, Wolfgang; Mattheisen, Manuel; McGrath, Patrick J; McIntosh, Andrew; McLean, Alan; Middeldorp, Christel M; Middleton, Lefkos; Montgomery, Grant M; Murphy, Shawn N; Nauck, Matthias; Nolen, Willem A; Nyholt, Dale R; O'Donovan, Michael; Oskarsson, Högni; Pedersen, Nancy; Scheftner, William A; Schulz, Andrea; Schulze, Thomas G; Shyn, Stanley I; Sigurdsson, Engilbert; Slager, Susan L; Smit, Johannes H; Stefansson, Hreinn; Steffens, Michael; Thorgeirsson, Thorgeir; Tozzi, Federica; Treutlein, Jens; Uhr, Manfred; van den Oord, Edwin J C G; Van Grootheest, Gerard; Völzke, Henry; Weilburg, Jeffrey B; Willemsen, Gonneke; Zitman, Frans G; Neale, Benjamin; Daly, Mark; Levinson, Douglas F; Sullivan, Patrick F
Prior genome-wide association studies (GWAS) of major depressive disorder (MDD) have met with limited success. We sought to increase statistical power to detect disease loci by conducting a GWAS mega-analysis for MDD. In the MDD discovery phase, we analyzed more than 1.2 million autosomal and X chromosome single-nucleotide polymorphisms (SNPs) in 18 759 independent and unrelated subjects of recent European ancestry (9240 MDD cases and 9519 controls). In the MDD replication phase, we evaluated 554 SNPs in independent samples (6783 MDD cases and 50 695 controls). We also conducted a cross-disorder meta-analysis using 819 autosomal SNPs with Pgenetic effects typical for complex traits. Therefore, we were unable to identify robust and replicable findings. We discuss what this means for genetic research for MDD. The 3p21.1 MDD-BIP finding should be interpreted with caution as the most significant SNP did not replicate in MDD samples, and genotyping in independent samples will be needed to resolve its status. PMID:22472876
In the last years, the interest in technologies such as in-memory analytics and associative search has increased. This paper explores how you can use in-memory analytics and an associative model in statistics. The word “associative” puts the emphasis on understanding how datasets relate to one another. The paper presents the main characteristics of “associative” data model. Also, the paper presents how to design an associative model for labor market indicators analysis. The source is the EU L...
Tan, Qihua; Christiansen, Lene; Brasch-Andersen, Charlotte;
paper introduces a retrospective polytomous logistic regression model to measure both the main and interaction effects in genetic association studies of human discrete and continuous complex traits. In this model, combinations of genotypes at two interacting loci or of environmental exposure and...... logistic regression model can be used as a convenient tool for assessing both main and interaction effects in genetic association studies of human multifactorial diseases involving genetic and non-genetic factors as well as categorical or continuous traits....
Moor, M.H.M.; Costa, P. T.; Terracciano, A; Krueger, R.F.; de Geus, E.J.C.; Toshiko, T.; Penninx, B W J H; Esko, T.; Madden, P.A.F.; Derringer, J; Amin, N; Willemsen, G.; Hottenga, J-J; Distel, M A; Uda, M
Abstract Personality can be thought of as a set of characteristics that influence people's thoughts, feelings, and behaviour across a variety of settings. Variation in personality is predictive of many outcomes in life, including mental health. Here we report on a meta-analysis of genome-wide association (GWA) data for personality in ten discovery samples (17 375 adults) and five in-silico replication samples (3 294 adults). All participants were of European ancestry. Personality s...
Clive J Hoggart
Full Text Available Testing one SNP at a time does not fully realise the potential of genome-wide association studies to identify multiple causal variants, which is a plausible scenario for many complex diseases. We show that simultaneous analysis of the entire set of SNPs from a genome-wide study to identify the subset that best predicts disease outcome is now feasible, thanks to developments in stochastic search methods. We used a Bayesian-inspired penalised maximum likelihood approach in which every SNP can be considered for additive, dominant, and recessive contributions to disease risk. Posterior mode estimates were obtained for regression coefficients that were each assigned a prior with a sharp mode at zero. A non-zero coefficient estimate was interpreted as corresponding to a significant SNP. We investigated two prior distributions and show that the normal-exponential-gamma prior leads to improved SNP selection in comparison with single-SNP tests. We also derived an explicit approximation for type-I error that avoids the need to use permutation procedures. As well as genome-wide analyses, our method is well-suited to fine mapping with very dense SNP sets obtained from re-sequencing and/or imputation. It can accommodate quantitative as well as case-control phenotypes, covariate adjustment, and can be extended to search for interactions. Here, we demonstrate the power and empirical type-I error of our approach using simulated case-control data sets of up to 500 K SNPs, a real genome-wide data set of 300 K SNPs, and a sequence-based dataset, each of which can be analysed in a few hours on a desktop workstation.
Full Text Available Library classification schemes are mostly organized based on disciplines with a hierarchical structure. From the user point of view, some highly related yet non-hierarchical classes may not be easy to perceive in these schemes. This paper is to discover hidden associations between classes by analyzing users’ usage of library collections. The proposed approach employs collaborative filtering techniques to discover associated classes based on the circulation patterns of similar users. Many associated classes scattered across different subject hierarchies could be discovered from the circulation patterns of similar users. The obtained association norms between classes were found to be useful in understanding users' subject preferences for a given class. Classification schemes can, therefore, be made more adaptable to changes of users and the uses of different library collections. There are implications for applications in information organization and retrieval as well. For example, catalogers could refer to the ranked associated classes when they perform multi-classification, and users could also browse the associated classes for related subjects in an enhanced OPAC system. In future research, more empirical studies will be needed to validate the findings, and methods for obtaining user-oriented associations can still be improved.[Article content in Chinese
Bønnelykke, Klaus; Matheson, Melanie C; Pers, Tune Hannes;
top SNP at each of 26 loci in 6,114 affected individuals and 9,920 controls. We increased the number of susceptibility loci with genome-wide significant association with allergic sensitization from three to ten, including SNPs in or near TLR6, C11orf30, STAT6, SLC25A46, HLA-DQB1, IL1RL1, LPP, MYC, IL2...... and HLA-B. All the top SNPs were associated with allergic symptoms in an independent study. Risk-associated variants at these ten loci were estimated to account for at least 25% of allergic sensitization and allergic rhinitis. Understanding the molecular mechanisms underlying these associations may...
Full Text Available For genome-wide association studies in family-based designs, we propose a new, universally applicable approach. The new test statistic exploits all available information about the association, while, by virtue of its design, it maintains the same robustness against population admixture as traditional family-based approaches that are based exclusively on the within-family information. The approach is suitable for the analysis of almost any trait type, e.g. binary, continuous, time-to-onset, multivariate, etc., and combinations of those. We use simulation studies to verify all theoretically derived properties of the approach, estimate its power, and compare it with other standard approaches. We illustrate the practical implications of the new analysis method by an application to a lung-function phenotype, forced expiratory volume in one second (FEV1 in 4 genome-wide association studies.
Horan, Mary K
Micronutrients are necessary for fetal growth. However increasingly pregnant women are nutritionally replete and little is known about the effect of maternal micronutrient intakes on fetal adiposity in mothers with increased BMI. The aim of this study was to examine the association of maternal dietary micronutrient intake with neonatal size and adiposity in a cohort at risk of macrosomia.
Reproductive efficiency has a great impact on the economic success of pork production. Number born alive (NBA) and average piglet birth weight (ABW) contribute greatly to reproductive efficiency. To better understand the underlying genetics of birth traits, a genome wide association study (GWAS) w...
Full Text Available Given the role of CD247 in the response of the T cells, its entailment in autoimmune diseases and in order to better clarify the role of this gene in RA susceptibility, we aimed to analyze CD247 gene variants previously associated with other autoimmune diseases (rs1052237, rs2056626 and rs864537 in a large independent European Caucasian population. However, no evidence of association was found for the analyzed CD247 single-nucleotide polymorphisms (SNPs with RA and with the presence/absence of anti-cyclic citrullinated polypeptide. We performed a meta-analysis including previously published GWAS data from the rs864537 variant, revealing an overall genome-wide significant association between this CD247 SNP and RA with anti-CCP (OR = 0.90, CI 95% = 0.87-0.93, Poverall = 2.1×10(-10. Our results show for first time a GWAS-level association between this CD247 polymorphism and RA risk.
McKay, Gareth J; Patterson, Chris C; Chakravarthy, Usha; Dasari, Shilpa; Klaver, Caroline C.; Vingerling, Johannes R; Ho, Lintje; de Jong, Paulus T V M; Fletcher, Astrid E.; Young, Ian S.; Seland, Johan H.; Rahu, Mati; Soubrane, Gisele; Tomazzoli, Laura; Topouzis, Fotis
Age-related macular degeneration (AMD) is the most common cause of incurable visual impairment in high-income countries. Previous studies report inconsistent associations between AMD and apolipoprotein E (APOE), a lipid transport protein involved in low-density cholesterol modulation. Potential interaction between APOE and sex, and smoking status has been reported. We present a pooled analysis (n = 21,160) demonstrating associations between late AMD and APOε4 (odds ratio [OR] = 0.72 per haplo...
Hamzic, Edin; Buitenhuis, Albert Johannes; Hérault, Frédéric;
costs for development of efficient vaccines, respectively. Therefore, the present control programs must be expanded with complementary approaches such as the use of genetics for improvement of the host’s response to Eimeria infections. Recently, we have performed a large-scale challenge study on Cobb500...... broilers using E. maxima where we investigated variability among animals in response to the challenge. Taking advantage of size and structure of the large-scale challenge study, we performed a genome-wide association study (GWAS) with the aim to identify genomic regions underlying variability of the...
Granell, Raquel; Strachan, David P; Alves, Alexessander Couto; Linneberg, Allan; Curtin, John A; Warrington, Nicole M; Standl, Marie; Kerkhof, Marjan; Jonsdottir, Ingileif; Bukvic, Blazenka K; Kaakinen, Marika; Sleimann, Patrick; Thorleifsson, Gudmar; Thorsteinsdottir, Unnur; Schramm, Katharina; Baltic, Svetlana; Kreiner-Møller, Eskil; Simpson, Angela; St Pourcain, Beate; Coin, Lachlan; Hui, Jennie; Walters, Eugene H; Tiesler, Carla M T; Duffy, David L; Jones, Graham; Ring, Susan M; McArdle, Wendy L; Price, Loren; Robertson, Colin F; Pekkanen, Juha; Tang, Clara S; Thiering, Elisabeth; Montgomery, Grant W; Hartikainen, Anna-Liisa; Dharmage, Shyamali C; Husemoen, Lise L; Herder, Christian; Kemp, John P; Elliot, Paul; James, Alan; Waldenberger, Melanie; Abramson, Michael J; Fairfax, Benjamin P; Knight, Julian C; Gupta, Ramneek; Thompson, Philip J; Holt, Patrick; Sly, Peter; Hirschhorn, Joel N; Blekic, Mario; Weidinger, Stephan; Hakonarsson, Hakon; Stefansson, Kari; Heinrich, Joachim; Postma, Dirkje S; Custovic, Adnan; Pennell, Craig E; Jarvelin, Marjo-Riitta; Koppelman, Gerard H; Timpson, Nicholas; Ferreira, Manuel A; Bisgaard, Hans; Henderson, A John
Allergen-specific IgE (allergic sensitization) plays a central role in the pathogenesis of allergic disease. We performed the first large-scale genome wide association study (GWAS) of allergic sensitization in 5,789 affected individuals and 10,056 controls and followed up the top SNP from 26 loci in 6,114 affected individuals and 9,920 controls. We increased the number of susceptibility loci with genome-wide significant association to allergic sensitization from three to 10, including SNPs in or near TLR6, C11orf30, STAT6, SLC25A46, HLA-DQB1, IL1RL1, LPP, MYC, IL2 and HLA-B. All the top-SNPs were associated with allergic symptoms in an independent study. Risk variants at these 10 loci were estimated to account for at least 25% of allergic sensitization and allergic rhinitis. Understanding the molecular mechanisms underlying these associations may provide novel insight into the etiology of allergic disease. PMID:23817571
Springelkamp, Henriet; Hoehn, Rene; Mishra, Aniket; Hysi, Pirro G.; Khor, Chiea-Chuen; Loomis, Stephanie J.; Bailey, Jessica N. Cooke; Gibson, Jane; Thorleifsson, Gudmar; Janssen, Sarah F.; Luo, Xiaoyan; Ramdas, Wishal D.; Vithana, Eranga; Nongpiur, Monisha E.; Montgomery, GrantW.; Xu, Liang; Mountain, Jenny E.; Gharahkhani, Puya; Lu, Yi; Amin, Najaf; Karssen, Lennart C.; Sim, Kar-Seng; van Leeuwen, Elisabeth M.; Iglesias, Adriana I.; Verhoeven, Virginie J. M.; Hauser, Michael A.; Loon, Seng-Chee; Despriet, Dominiek D. G.; Nag, Abhishek; Venturini, Cristina; Sanfilippo, Paul G.; Schillert, Arne; Kang, Jae H.; Landers, John; Jonasson, Fridbert; Cree, Angela J.; van Koolwijk, Leonieke M. E.; Rivadeneira, Fernando; Souzeau, Emmanuelle; Jonsson, Vesteinn; Menon, Geeta; Weinreb, Robert N.; de Jong, Paulus T. V. M.; Oostra, Ben A.; Uitterlinden, Andre G.; Hofman, Albert; Ennis, Sarah; Thorsteinsdottir, Unnur; Burdon, Kathryn P.; Spector, Timothy D.; Mirshahi, Alireza; Saw, Seang-Mei; Vingerling, Johannes R.; Teo, Yik-Ying; Haines, Jonathan L.; Wolfs, Roger C. W.; Lemij, Hans G.; Tai, E-Shyong; Jansonius, Nomdo M.; Jonas, Jost B.; Cheng, Ching-Yu; Aung, Tin; Viswanathan, Ananth C.; Klaver, Caroline C. W.; Craig, Jamie E.; Macgregor, Stuart; Mackey, David A.; Lotery, Andrew J.; Stefansson, Kari; Bergen, Arthur A. B.; Young, Terri L.; Wiggs, Janey L.; Pfeiffer, Norbert; Wong, Tien-Yin; Pasquale, Louis R.; Hewitt, Alex W.; van Duijn, Cornelia M.; Hammond, Christopher J.
Glaucoma is characterized by irreversible optic nerve degeneration and is the most frequent cause of irreversible blindness worldwide. Here, the International Glaucoma Genetics Consortium conducts a meta-analysis of genome-wide association studies of vertical cup-disc ratio (VCDR), an important dise
H. Springelkamp (Henriët); R. Höhn (René); A. Mishra (Aniket); P.G. Hysi (Pirro); C.C. Khor; S.J. Loomis (Stephanie J.); J.N.C. Bailey (Jessica N. Cooke); J. Gibson (Jane); G. Thorleifsson (Gudmar); X. Luo (Xiaoyan); W.D. Ramdas (Wishal); E.N. Vithana (Eranga); M.E. Nongpiur (Monisha E.); G.W. Montgomery (Grant); L. Xu (Liang); J.E. Mountain (Jenny E.); P. Gharahkhani (Puya); Y. Lu (Yi); N. Amin (Najaf); L.C. Karssen (Lennart); K.S. Sim; E.M. van Leeuwen (Elisa); O. Iglesias (Oriol); V.J.M. Verhoeven (Virginie); M.A. Hauser (Michael); S.-C. Loon (Seng-Chee); D.D.G. Despriet (Dominique); A. Nag (Abhishek); C. Venturini (Cristina); P.G. Sanfilippo (Paul G.); A. Schillert (Arne); J.H. Kang (Jae H.); J. Landers (John); F. Jonasson (Fridbert); A.J. Cree (Angela); L.M.E. van Koolwijk (Leonieke); F. Rivadeneira Ramirez (Fernando); E. Souzeau (Emmanuelle); V. Jonsson (Vesteinn); G. Menon (Geeta); P. Mitchell (Paul); J.J. Wang (Jie Jin); E. Rochtchina (Elena); J. Attia (John); R. Scott (Rodney); E.G. Holliday (Elizabeth); P.N. Baird (Paul); J. Xie (Jing); M. Inouye (Michael); A.C. Viswanathan (Ananth); X. Sim (Xueling); R.N. Weinreb (Robert N.); P.T.V.M. de Jong (Paulus); B.A. Oostra (Ben); A.G. Uitterlinden (André); A. Hofman (Albert); S. Ennis (Sarah); U. Thorsteinsdottir (Unnur); K.P. Burdon (Kathryn); R.R. Allingham (R Rand); M.H. Brilliant (Murray H.); D.L. Budenz (Donald L.); W.G. Christen (William G.); J. Fingert (John); D.S. Friedman (David); D. Gaasterland (Douglas); T. Gaasterland (Terry); J.L. Haines (Jonathan); J.H. Kang; P. Kraft (Peter); R.K. Lee (Richard K.); P.A. Lichter (Paul A.); Y. Liu (Yutao); S.E. Moroi (Sayoko); M.A. Pericak-Vance (Margaret); A. Realini (Anthony); J.E. Richards (Julia); J.S. Schuman (Joel S.); W.K. Scott (William); K. Singh (Kuldev); A.J. Sit (Arthur J.); D. Vollrath (Douglas); G. Wollstein (Gadi); D.J. Zack (Donald); K. Zhang (Kang); I. Barroso (Inês); K.L. Blackwell (Kimberly); E. Bramon (Elvira); M.A. Brown (Matthew); J.P. Casas (Juan); A. Corvin (Aiden); P. Deloukas (Panagiotis); A. Duncanson (Audrey); J.A. Jankowski (Janusz Antoni); H.S. Markus (Hugh); J. Mathew (Joseph); C.N.A. Palmer (Colin); R. Plomin (Robert); A. Rautanen (Anna); S.J. Sawcer (Stephen); R.C. Trembath (Richard); A.C. Viswanathan (Ananth C.); N.W. Wood (Nicholas); C.C.A. Spencer (Chris C.); G. Band (Gavin); C. Bellenguez (Céline); C. Freeman (Colin); F.A. Hellenthal; E. Giannoulatou (Eleni); M. Pirinen (Matti); R. Pearson (Richard); A. Strange (Amy); Z. Su (Zhan); D. Vukcevic (Damjan); P. Donnelly (Peter); C. Langford (Cordelia); S.E. Hunt (Sarah); T. Edkins (Ted); R. Gwilliam (Rhian); H. Blackburn (Hannah); S. Bumpstead (Suzannah); S. Dronov (Serge); M. Gillman (Matthew); E. Gray (Emma); N. Hammond (Naomi); A. Jayakumar (Alagurevathi); O.T. McCann (Owen); J. Liddle (Jennifer); S.C. Potter (Simon); R. Ravindrarajah (Radhi); M. Ricketts (Michelle); P. Waller (Patrick); P. Weston (Paul); S. Widaa (Sara); P. Whittaker (Pamela); T.D. Spector (Timothy); A. Mirshahi (Alireza); S-M. Saw (Seang-Mei); J.R. Vingerling (Hans); Y.Y. Teo (Yik Ying); R.C.W. Wolfs (Roger); H.G. Lemij (Hans); E.S. Tai (Shyong); N.M. Jansonius (Nomdo); J.B. Jonas (Jost B.); C-Y. Cheng (Ching-Yu); T. Aung (Tin); C.C.W. Klaver (Caroline); J.E. Craig (Jamie); S. MacGregor (Stuart); D.A. Mackey (David); A.J. Lotery (Andrew); J-A. Zwart (John-Anker); A.A.B. Bergen (Arthur); T.L. Young (Terri); J.L. Wiggs (Janey); A.F.H. Pfeiffer (Andreas); T.Y. Wong (Tien); L.R. Pasquale (Louis); A.W. Hewit (Alex); C.M. van Duijn (Cock); C.J. Hammond (Christopher); S.F. Janssen (Sarah)
textabstractGlaucoma is characterized by irreversible optic nerve degeneration and is the most frequent cause of irreversible blindness worldwide. Here, the International Glaucoma Genetics Consortium conducts a meta-analysis of genome-wide association studies of vertical cup-disc ratio (VCDR), an im
I. G. Solovyeva
Full Text Available When studying functional features of immune system, a lot of quantitative and functional parameters are determined. A multifactorial analysis allows of detecting interdependent immunological parameters and defining them as significant factors. In present study, four factors are revealed, which are associated with certain clinical characteristics of gastric cancer (tumor invasion depth, lymph node status and distant metastases, tumor stage, histological type. The data obtained are of interest, with regard of systemic approach to functional studies of immune functions.
Norris, Jill M.; Langefeld, Carl D.; Talbert, Matthew E.; Wing, Maria R; Haritunians, Talin; Fingerlin, Tasha E.; Hanley, Anthony J. G.; Ziegler, Julie T.; Taylor, Kent D.; Haffner, Steven M.; Chen, Yii-Der I.; Donald W Bowden; Wagenknecht, Lynne E.
We investigated candidate genomic regions associated with computed tomography (CT)-derived measures of adiposity in Hispanic from the IRAS Family Study. In 1190 Hispanic individuals from 92 families from the San Luis Valley, CO and San Antonio, TX, we measured CT-derived visceral adipose tissue (VAT); subcutaneous adipose tissue (SAT); and visceral: subcutaneous ratio (VSR). A genome-wide association study (GWAS) was completed using the Illumina HumanHap 300 BeadChip (~317K single nucleotide ...
Amin Al Olama, Ali; Kote-Jarai, Zsofia; Schumacher, Fredrick R.; Wiklund, Fredrik; Berndt, Sonja I.; Benlloch, Sara; Giles, Graham G.; Severi, Gianluca; Neal, David E.; Hamdy, Freddie C.; Donovan, Jenny L.; Hunter, David J.; Henderson, Brian E.; Thun, Michael J.; Gaziano, Michael; Giovannucci, Edward L.; Siddiq, Afshan; Travis, Ruth C.; Cox, David G.; Canzian, Federico; Riboli, Elio; Key, Timothy J.; Andriole, Gerald; Albanes, Demetrius; Hayes, Richard B.; Schleutker, Johanna; Auvinen, Anssi; Tammela, Teuvo L.J.; Weischer, Maren; Stanford, Janet L.; Ostrander, Elaine A.; Cybulski, Cezary; Lubinski, Jan; Thibodeau, Stephen N.; Schaid, Daniel J.; Sorensen, Karina D.; Batra, Jyotsna; Clements, Judith A.; Chambers, Suzanne; Aitken, Joanne; Gardiner, Robert A.; Maier, Christiane; Vogel, Walther; Dörk, Thilo; Brenner, Hermann; Habuchi, Tomonori; Ingles, Sue; John, Esther M.; Dickinson, Joanne L.; Cannon-Albright, Lisa; Teixeira, Manuel R.; Kaneva, Radka; Zhang, Hong-Wei; Lu, Yong-Jie; Park, Jong Y.; Cooney, Kathleen A.; Muir, Kenneth R.; Leongamornlert, Daniel A.; Saunders, Edward; Tymrakiewicz, Malgorzata; Mahmud, Nadiya; Guy, Michelle; Govindasami, Koveela; O'Brien, Lynne T.; Wilkinson, Rosemary A.; Hall, Amanda L.; Sawyer, Emma J.; Dadaev, Tokhir; Morrison, Jonathan; Dearnaley, David P.; Horwich, Alan; Huddart, Robert A.; Khoo, Vincent S.; Parker, Christopher C.; Van As, Nicholas; Woodhouse, Christopher J.; Thompson, Alan; Dudderidge, Tim; Ogden, Chris; Cooper, Colin S.; Lophatonanon, Artitaya; Southey, Melissa C.; Hopper, John L.; English, Dallas; Virtamo, Jarmo; Le Marchand, Loic; Campa, Daniele; Kaaks, Rudolf; Lindstrom, Sara; Diver, W. Ryan; Gapstur, Susan; Yeager, Meredith; Cox, Angela; Stern, Mariana C.; Corral, Roman; Aly, Markus; Isaacs, William; Adolfsson, Jan; Xu, Jianfeng; Zheng, S. Lilly; Wahlfors, Tiina; Taari, Kimmo; Kujala, Paula; Klarskov, Peter; Nordestgaard, Børge G.; Røder, M. Andreas; Frikke-Schmidt, Ruth; Bojesen, Stig E.; FitzGerald, Liesel M.; Kolb, Suzanne; Kwon, Erika M.; Karyadi, Danielle M.; Orntoft, Torben Falck; Borre, Michael; Rinckleb, Antje; Luedeke, Manuel; Herkommer, Kathleen; Meyer, Andreas; Serth, Jürgen; Marthick, James R.; Patterson, Briony; Wokolorczyk, Dominika; Spurdle, Amanda; Lose, Felicity; McDonnell, Shannon K.; Joshi, Amit D.; Shahabi, Ahva; Pinto, Pedro; Santos, Joana; Ray, Ana; Sellers, Thomas A.; Lin, Hui-Yi; Stephenson, Robert A.; Teerlink, Craig; Muller, Heiko; Rothenbacher, Dietrich; Tsuchiya, Norihiko; Narita, Shintaro; Cao, Guang-Wen; Slavov, Chavdar; Mitev, Vanio; Chanock, Stephen; Gronberg, Henrik; Haiman, Christopher A.; Kraft, Peter; Easton, Douglas F.; Eeles, Rosalind A.
Genome-wide association studies (GWAS) have identified multiple common genetic variants associated with an increased risk of prostate cancer (PrCa), but these explain less than one-third of the heritability. To identify further susceptibility alleles, we conducted a meta-analysis of four GWAS including 5953 cases of aggressive PrCa and 11 463 controls (men without PrCa). We computed association tests for approximately 2.6 million SNPs and followed up the most significant SNPs by genotyping 49 121 samples in 29 studies through the international PRACTICAL and BPC3 consortia. We not only confirmed the association of a PrCa susceptibility locus, rs11672691 on chromosome 19, but also showed an association with aggressive PrCa [odds ratio = 1.12 (95% confidence interval 1.03–1.21), P = 1.4 × 10−8]. This report describes a genetic variant which is associated with aggressive PrCa, which is a type of PrCa associated with a poorer prognosis. PMID:23065704
P. A. Starikov
Full Text Available The paper demonstrates the sociological research findings concerning the students’ ideas of creativity based on the questionnaires and testing of the students of the natural science, humanities and technical profiles at Siberian Federal University over the period of 2007-2011.The author suggests a new method of semantic association analysis in order to identify the latent groups of notions related to the concept of creativity. The range of students’ common opinions demonstrate the obvious trend for humanizing the idea of creativity, considering it as the perfect mode of human existence, which coincide with the ideas of K. Rogers, A. Maslow and other scholars. Today’s students associate creativity primarily with pleasure, self-development, self-expression, inspiration, improvisation, spontaneity; and the resulting semantic complex incorporates such characteristics of creative work as goodness, abundance of energy, integrity, health, freedom and independence, self-development and spirituality.The obtained data prove the importance of the inspiration experience in creative pedagogy; the research outcomes along with the continuing monitoring of students attitude to creativity development can optimize the learning process. The author emphasizes the necessity of introducing some special courses, based on the integral approach (including social, philosophical, psychological, psycho-social and technical aspects, and aimed at developing students’ creative competence.
Full Text Available BACKGROUND: The associations between vitamin D receptor (VDR gene polymorphisms and breast cancer risk were comprehensively investigated to clarify issues that remain controversial. METHODOLOGY/PRINCIPAL FINDINGS: An electronic search was conducted of several databases, including PubMed, the Cochrane library, Web of Science, EMBASE, CBM and CNKI, for papers that describe the association between Fok1, poly-A repeat, Bsm1, Taq1 or Apa1 polymorphisms of the VDR gene and breast cancer risk. Summary odds ratios and 95% confidence intervals (CI were estimated based on a fixed-effect model (FEM or random-effect model (REM, depending on the absence or presence of significant heterogeneity. A total of 39 studies met the inclusion criteria. A meta-analysis of high-quality studies showed that the Fok1 polymorphism of the VDR gene was associated with an increased risk of breast cancer (ff vs. Ff+FF, OR: 1.09, 95%CI: 1.02 to 1.16, p = 0.007. No significant associations were observed between the other polymorphisms and breast cancer risk. No positive results were detected by pooling the results of all relevant studies. CONCLUSION: A meta-analysis of high-quality studies demonstrated that the Fok1 polymorphism of the VDR gene was closely associated with breast cancer risk.
Lin, Xinyi; Cai, Tianxi; Wu, Michael C.; ZHOU, Qian; Liu, Geoffrey; Christiani, David C.; Lin, Xihong
In this paper, we develop a powerful test for identifying SNP-sets that are predictive of survival with data from genome-wide association studies (GWAS). We first group typed SNPs into SNP-sets based on genomic features and then apply a score test to assess the overall effect of each SNP-set on the survival outcome through a kernel machine Cox regression framework. This approach uses genetic information from all SNPs in the SNP-set simultaneously and accounts for linkage disequilibrium (LD), ...
Schneider, J F; Rempel, L A; Snelling, W M; Wiedmann, R T; Nonneman, D J; Rohrer, G A
Reproductive efficiency has a great impact on the economic success of pork (sus scrofa) production. Number born alive (NBA) and average piglet birth weight (ABW) contribute greatly to reproductive efficiency. To better understand the underlying genetics of birth traits, a genome-wide association study (GWAS) was undertaken. Samples of DNA were collected and tested using the Illumina PorcineSNP60 BeadChip from 1,152 first parity gilts. Traits included total number born (TNB), NBA, number born dead (NBD), number stillborn (NSB), number of mummies (MUM), total litter birth weight (LBW), and ABW. A total of 41,151 SNP were tested using a Bayesian approach. Beginning with the first 5 SNP on SSC1 and ending with the last 5 SNP on the SSCX, SNP were assigned to groups of 5 consecutive SNP by chromosome-position order and analyzed again using a Bayesian approach. From that analysis, 5-SNP groups were selected having no overlap with another 5-SNP groups and no overlap across chromosomes. These selected 5-SNP non-overlapping groups were defined as QTL. Of the available 8,814 QTL, 124 were found to be statistically significant (P false positives. Eleven QTL were found for TNB, 3 on SSC1, 3 on SSC4, 1 on SSC13, 1 on SSC14, 2 on SSC15, and 1 on SSC17. Statistical testing for NBA identified 14 QTL, 4 on SSC1, 1 on SSC4, 1 on SSC6, 1 on SSC10, 1on SSC13, 3 on SSC15, and 3 on SSC17. A single NBD QTL was found on SSC11. No QTL were identified for NSB or MUM. Thirty-three QTL were found for LBW, 3 on SSC1, 1 on SSC2, 1 on SSC3, 5 on SSC4, 2 on SSC5, 5 on SSC6, 3 on SSC7, 2 on SSC9, 1 on SSC10, 2 on SSC14, 6 on SSC15, and 2 on SSC17. A total of 65 QTL were found for ABW, 9 on SSC1, 3 on SSC2, 9 on SSC5, 5 on SSC6, 1 on SSC7, 2 on SSC8, 2 on SSC9, 3 on SSC10, 1 on SSC11, 3 on SSC12, 2 on SSC13, 8 on SSC14, 8 on SSC15, 1 on SSC17, and 8 on SSC18. Several candidate genes have been identified that overlap QTL locations among TNB, NBA, NBD, and ABW. These QTL when combined with
Ivor M D′Souza
Full Text Available Introduction: Transverse deficiency of the maxilla is a common clinical problem in orthodontics and dentofacial orthopedics. Transverse maxillary deficiency, isolated or associated with other dentofacial deformities, results in esthetic and functional impairment giving rise to several clinical manifestations such as asymmetrical facial growth, positional and functional mandibular deviations, altered dentofacial esthetics, adverse periodontal responses, unstable dental tipping, and other functional problems. Orthopedic maxillary expansion is the preferred treatment approach to increase the maxillary transverse dimension in young patients by splitting of the mid palatal suture. This orthopedic procedure has lately been subject of renewed interest in orthodontic treatment mechanics because of its potential for increasing arch perimeter to alleviate crowding in the maxillary arch without adversely affecting facial profile. Hence, the present investigation was conducted to establish a correlation between transverse expansion and changes in the arch perimeter, arch width and arch length. Methods: For this purpose, 10 subjects (five males, five females were selected who had been treated by rapid maxillary expansion (RME using hyrax rapid palatal expander followed by fixed mechanotherapy (PEA. Pretreatment (T1, postexpansion (T2, and posttreatment (T3 dental models were compared for dental changes brought about by RME treatment and its stability at the end of fixed mechanotherapy. After model measurements were made, the changes between T1-T2, T2-T3 and T1-T3 were determined for each patient. The mean difference between T1-T2, T2-T3 and T1-T3 were compared to assess the effects of RME on dental arch measurements. Results are expressed as mean ± standard deviation and are compared by repeated measures analysis of variance followed by a post-hoc test. Arch perimeter changes are correlated with changes in arch widths at the canine, premolar and molar
Full Text Available BACKGROUND: The incidence of metabolic syndrome (MetS is rapidly increasing worldwide and associated with alanine aminotransferase (ALT activity. However, the impact of ALT activity on MetS incidence is inconsistent in published literature. We therefore estimated the association between elevated ALT activity and incident MetS through a meta-analysis of prospective cohort studies. METHODS/PRINCIPAL FINDINGS: All published prospective cohort studies on the association between elevated ALT activity and incident MetS were retrieved from Pubmed, Embase, and the Institute for Scientific Information (ISI. In all, seven prospective cohort studies, with 31545 participants and 2873 cases of incident MetS were recruited. If there was insignificant heterogeneity (P-value>0.05 and I(2<50%, the fixed-effect model was used to calculate the pooled relative risks (RRs of incident MetS induced by raised ALT. Otherwise, the random-effect model was used. The calculated RR was 1.81 (95% confidence interval [CI]: 1.49-2.14 when the incidence of MetS was compared between the highest versus the lowest classification of ALT activities. The pooled RR was 1.13 (95% CI: 1.11-1.16 in dose-response analysis with 5 units per liter (U/l of ALT increment. Subgroup analysis suggested that gender disparity might be the main origin of heterogeneity in overall analysis (P = 0.007 between RRs of gender-specific subgroups evaluated with 5 U/l increments of ALT. Women had a higher dose-response risk of MetS incidence (1.38, 95% CI: 1.20-1.55 than men. Furthermore, sensitivity analysis confirmed the stability of results. No publication bias was found in our meta-analysis. CONCLUSIONS/SIGNIFICANCE: Current evidence from prospective studies supports the association between ALT elevation and increasing MetS incidence. This association is closer and more consistent in female population. Further studies are needed to confirm this association and to investigate the potential mechanism of
Full Text Available BACKGROUND: Red and processed meat was concluded as a limited-suggestive risk factor of gastric cancer by the World Cancer Research Fund. However, recent epidemiological studies have yielded inconclusive results. METHODS: We searched Medline, EMBASE, and the Cochrane Library from their inception to April 2013 for both cohort and case-control studies which assessed the association between red and/or processed meat intake and gastric cancer risk. Study-specific relative risk estimates were polled by random-effect or fixed-effect models. RESULTS: Twelve cohort and thirty case-control studies were included in the meta-analysis. Significant associations were found between both red (RR: 1.45, 95% CI: 1.22-1.73 and processed (RR: 1.45, 95% CI: 1.26-1.65 meat intake and gastric cancer risk generally. Positive findings were also existed in the items of beef (RR: 1.28, 95% CI: 1.04-1.57, bacon (RR: 1.37, 95% CI: 1.17-1.61, ham (RR: 1.44, 95% CI: 1.00-2.06, and sausage (RR: 1.33, 95% CI: 1.16-1.52. When conducted by study design, the association was significant in case-control studies (RR: 1.63, 95% CI: 1.33-1.99 but not in cohort studies (RR: 1.02, 95% CI: 0.90-1.17 for red meat. Increased relative risks were seen in high-quality, adenocarcinoma, cardia and European-population studies for red meat. And most subgroup analysis confirmed the significant association between processed meat intake and gastric cancer risk. CONCLUSIONS: Our findings indicate that consumption of red and/or processed meat contributes to increased gastric cancer risk. However, further investigation is needed to confirm the association, especially for red meat.
Barnes Michael R
Full Text Available Abstract Background Genome wide association (GWA studies are now being widely undertaken aiming to find the link between genetic variations and common diseases. Ideally, a well-powered GWA study will involve the measurement of hundreds of thousands of single nucleotide polymorphisms (SNPs in thousands of individuals. The sheer volume of data generated by these experiments creates very high analytical demands. There are a number of important steps during the analysis of such data, many of which may present severe bottlenecks. The data need to be imported and reviewed to perform initial quality control (QC before proceeding to association testing. Evaluation of results may involve further statistical analysis, such as permutation testing, or further QC of associated markers, for example, reviewing raw genotyping intensities. Finally significant associations need to be prioritised using functional and biological interpretation methods, browsing available biological annotation, pathway information and patterns of linkage disequilibrium (LD. Results We have developed an interactive and user-friendly graphical application to be used in all steps in GWA projects from initial data QC and analysis to biological evaluation and validation of results. The program is implemented in Java and can be used on all platforms. Conclusion Very large data sets (e.g. 500 k markers and 5000 samples can be quality assessed, rapidly analysed and integrated with genomic sequence information. Candidate SNPs can be selected and functionally evaluated.
Elks, Cathy E; Perry, John R B; Sulem, Patrick;
To identify loci for age at menarche, we performed a meta-analysis of 32 genome-wide association studies in 87,802 women of European descent, with replication in up to 14,731 women. In addition to the known loci at LIN28B (P = 5.4 × 10⁻⁶⁰) and 9q31.2 (P = 2.2 × 10⁻³³), we identified 30 new menarc...
Full Text Available Several genetic variants associated with platelet count and mean platelet volume (MPV were recently reported in people of European ancestry. In this meta-analysis of 7 genome-wide association studies (GWAS enrolling African Americans, our aim was to identify novel genetic variants associated with platelet count and MPV. For all cohorts, GWAS analysis was performed using additive models after adjusting for age, sex, and population stratification. For both platelet phenotypes, meta-analyses were conducted using inverse-variance weighted fixed-effect models. Platelet aggregation assays in whole blood were performed in the participants of the GeneSTAR cohort. Genetic variants in ten independent regions were associated with platelet count (N = 16,388 with p<5×10(-8 of which 5 have not been associated with platelet count in previous GWAS. The novel genetic variants associated with platelet count were in the following regions (the most significant SNP, closest gene, and p-value: 6p22 (rs12526480, LRRC16A, p = 9.1×10(-9, 7q11 (rs13236689, CD36, p = 2.8×10(-9, 10q21 (rs7896518, JMJD1C, p = 2.3×10(-12, 11q13 (rs477895, BAD, p = 4.9×10(-8, and 20q13 (rs151361, SLMO2, p = 9.4×10(-9. Three of these loci (10q21, 11q13, and 20q13 were replicated in European Americans (N = 14,909 and one (11q13 in Hispanic Americans (N = 3,462. For MPV (N = 4,531, genetic variants in 3 regions were significant at p<5×10(-8, two of which were also associated with platelet count. Previously reported regions that were also significant in this study were 6p21, 6q23, 7q22, 12q24, and 19p13 for platelet count and 7q22, 17q11, and 19p13 for MPV. The most significant SNP in 1 region was also associated with ADP-induced maximal platelet aggregation in whole blood (12q24. Thus through a meta-analysis of GWAS enrolling African Americans, we have identified 5 novel regions associated with platelet count of which 3 were replicated in other ethnic
Austin, Melissa A; Hair, Marilyn S; Fullerton, Stephanie M
Scientific research has shifted from studies conducted by single investigators to the creation of large consortia. Genetic epidemiologists, for example, now collaborate extensively for genome-wide association studies (GWAS). The effect has been a stream of confirmed disease-gene associations. However, effects on human subjects oversight, data-sharing, publication and authorship practices, research organization and productivity, and intellectual property remain to be examined. The aim of this analysis was to identify all research consortia that had published the results of a GWAS analysis since 2005, characterize them, determine which have publicly accessible guidelines for research practices, and summarize the policies in these guidelines. A review of the National Human Genome Research Institute's Catalog of Published Genome-Wide Association Studies identified 55 GWAS consortia as of April 1, 2011. These consortia were comprised of individual investigators, research centers, studies, or other consortia and studied 48 different diseases or traits. Only 14 (25%) were found to have publicly accessible research guidelines on consortia websites. The available guidelines provide information on organization, governance, and research protocols; half address institutional review board approval. Details of publication, authorship, data-sharing, and intellectual property vary considerably. Wider access to consortia guidelines is needed to establish appropriate research standards with broad applicability to emerging forms of large-scale collaboration. PMID:22491085
Hong, Jaeyoung; Lunetta, Kathryn L; Cupples, L Adrienne; Dupuis, Josée; Liu, Ching-Ti
Meta-analysis of genome-wide association studies (GWAS) has achieved great success in detecting loci underlying human diseases. Incorporating GWAS results from diverse ethnic populations for meta-analysis, however, remains challenging because of the possible heterogeneity across studies. Conventional fixed-effects (FE) or random-effects (RE) methods may not be most suitable to aggregate multiethnic GWAS results because of violation of the homogeneous effect assumption across studies (FE) or low power to detect signals (RE). Three recently proposed methods, modified RE (RE-HE) model, binary-effects (BE) model and a Bayesian approach (Meta-analysis of Transethnic Association [MANTRA]), show increased power over FE and RE methods while incorporating heterogeneity of effects when meta-analyzing trans-ethnic GWAS results. We propose a two-stage approach to account for heterogeneity in trans-ethnic meta-analysis in which we clustered studies with cohort-specific ancestry information prior to meta-analysis. We compare this to a no-prior-clustering (crude) approach, evaluating type I error and power of these two strategies, in an extensive simulation study to investigate whether the two-stage approach offers any improvements over the crude approach. We find that the two-stage approach and the crude approach for all five methods (FE, RE, RE-HE, BE, MANTRA) provide well-controlled type I error. However, the two-stage approach shows increased power for BE and RE-HE, and similar power for MANTRA and FE compared to their corresponding crude approach, especially when there is heterogeneity across the multiethnic GWAS results. These results suggest that prior clustering in the two-stage approach can be an effective and efficient intermediate step in meta-analysis to account for the multiethnic heterogeneity. PMID:27061095
Sofer, Tamar; Shaffer, John R; Graff, Mariaelisa; Qi, Qibin; Stilp, Adrienne M; Gogarten, Stephanie M; North, Kari E; Isasi, Carmen R; Laurie, Cathy C; Szpiro, Adam A
Investigators often meta-analyze multiple genome-wide association studies (GWASs) to increase the power to detect associations of single nucleotide polymorphisms (SNPs) with a trait. Meta-analysis is also performed within a single cohort that is stratified by, e.g., sex or ancestry group. Having correlated individuals among the strata may complicate meta-analyses, limit power, and inflate Type 1 error. For example, in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), sources of correlation include genetic relatedness, shared household, and shared community. We propose a novel mixed-effect model for meta-analysis, "MetaCor," which accounts for correlation between stratum-specific effect estimates. Simulations show that MetaCor controls inflation better than alternatives such as ignoring the correlation between the strata or analyzing all strata together in a "pooled" GWAS, especially with different minor allele frequencies (MAFs) between strata. We illustrate the benefits of MetaCor on two GWASs in the HCHS/SOL. Analysis of dental caries (tooth decay) stratified by ancestry group detected a genome-wide significant SNP (rs7791001, P-value = 3.66×10-8, compared to 4.67×10-7 in pooled), with different MAFs between strata. Stratified analysis of body mass index (BMI) by ancestry group and sex reduced overall inflation from λGC=1.050 (pooled) to λGC=1.028 (MetaCor). Furthermore, even after removing close relatives to obtain nearly uncorrelated strata, a naïve stratified analysis resulted in λGC=1.058 compared to λGC=1.027 for MetaCor. PMID:27256683
Full Text Available Aims. Published data on the associations of VEGF polymorphisms with diabetic retinopathy (DR susceptibility are inconclusive. A systematic meta-analysis was undertaken to clarify this topic. Methods. Data were collected from the following electronic databases: PubMed, Embase, OVID, Web of Science, Elsevier Science Direct, Excerpta Medica Database (EMBASE, and Cochrane Library with the last report up to January 10, 2014. ORs and 95% CIs were calculated for VEGF–2578C/A (rs699947, –1154G/A (rs1570360, –460T/C (rs833061, −634G>C (rs2010963, and +936C/T (rs3025039 in at least two published studies. Meta-analysis was performed in a fixed/random effect model by using the software STATA 12.0. Results. A total of 11 studies fulfilling the inclusion criteria were included in this meta-analysis. A significant relationship between VEGF+936C/T (rs3025039 polymorphism and DR was found in a recessive model (OR = 3.19, 95% CI = 1.20–8.41, and P(z=0.01 in Asian and overall populations, while a significant association was also found between –460T/C (rs833061 polymorphism and DR risk under a recessive model (OR = 2.12, 95% CI = 1.12–4.01, and P(z=0.02. Conclusions. Our meta-analysis demonstrates that +936C/T (rs3025039 is likely to be associated with susceptibility to DR in Asian populations, and the recessive model of –460T/C (rs833061 is associated with elevated DR susceptibility.
Li Danni; Li Jinming; Guo Yanfang
Background Alcohol dependence (AD) is a serious and common public health problem.The identification of genes that contribute to the AD variation will improve our understanding of the genetic mechanism underlying this complex disease.Previous genome-wide association studies (GWAS) and candidate gene genetic association studies identified individual genes as candidates for alcohol phenotypes,but efforts to generate an integrated view of accumulative genetic variants and pathways under alcohol drinking are lacking.Methods We applied enrichment gene set analysis to existing genetic association results to identify pertinent pathways to AD in this study.A total of 1 438 SNPs (P ＜1.0×10-3) associated to alcohol drinking related traits have been collected from 31 studies (10 candidate gene association studies,19 GWAS of SNPs,and 2 GWAS of copy number variants).Results Among all of the KEGG pathways,the calcium signaling pathway (hsa04020) showed the most significant enrichment of associations (21 genes) to alcohol consumption phenotypes (P=5.4×10-5).Furthermore,the calcium signaling pathway is the only pathway that turned out to be significant after multiple test adjustments,achieving Bonferroni P value of 0.8×10-3 and FDR value of 0.6×10-2,respectively.Interestingly,the calcium signaling pathway was previously found to be essential to regulate brain function,and genes in this pathway link to a depressive effect of alcohol consumption on the body.Conclusions Our findings,together with previous biological evidence,suggest the importance of gene polymorphisms of calcium signaling pathway to AD susceptibility.Still,further investigations are warranted to uncover the role of this pathway in AD and related traits.
Full Text Available BACKGROUND: Excision repair cross-complimentary group 1 (ERCC1 is an essential component of the nucleotide excision repair system that is responsible for repairing damaged DNA. Functional genetic variations in the ERCC1 gene may alter DNA repair capacity and modulate cancer risk. The putative roles of ERCC1 gene polymorphisms in lung cancer susceptibility have been widely investigated. However, the results remain controversial. OBJECTIVES: An updated meta-analysis was conducted to explore whether lung cancer risk could be attributed to the following ERCC1 polymorphisms: rs11615 (T>C, rs3212986 (C>A, rs3212961 (A>C, rs3212948 (G>C, rs2298881 (C>A. METHODS: Several major databases (MEDLINE, EMBASE and Scopus and the Chinese Biomedical database were searched for eligible studies. Crude odds ratios (ORs with 95% confidence intervals (CIs were used to measure the strength of associations. RESULTS: Sixteen studies with 10,106 cases and 13,238 controls were included in this meta-analysis. Pooled ORs from 11 eligible studies (8,215 cases vs. 11,402 controls suggested a significant association of ERCC1 rs11615 with increased risk for lung cancer (homozygous: CC versus TT, OR = 1.24, 95% CI: 1.04-1.48, P = 0.02. However, such an association was disproportionately driven by a single study. Removal of that study led to null association. Moreover, initial analyses suggested that ERCC1 rs11615 exerts a more profound effect on the susceptibility of non-smokers to lung cancer than that of smokers. Moreover, no statistically significant association was found between remaining ERCC1 polymorphisms of interest and lung cancer risk, except for rs3212948 variation (heterozygous: CG vs.GG, OR = 0.78, 95% CI: 0.67-0.90, P = 0.001; dominant: CG/CC vs.GG, OR = 0.79, 95% CI: 0.69-0.91, P = 0.001. CONCLUSION: Overall, this meta-analysis suggests that ERCC1 rs3212948 G>C, but not others, is a lung cancer risk-associated polymorphism. Carefully
Foster Meredith C
Full Text Available Abstract Background Ectopic fat accumulation in the renal sinus is associated with chronic kidney disease and hypertension. The genetic contributions to renal sinus fat accumulation in humans have not been well characterized. Methods The present analysis consists of participants from the Framingham Offspring and Third Generation who underwent computed tomography; renal sinus fat and visceral adipose tissue (VAT were quantified. Renal sinus fat was natural log transformed and sex- and cohort-specific residuals were created, adjusted for (1 age, (2 age and body mass index (BMI, and (3 age and VAT. Residuals were pooled and used to calculate heritability using variance-components analysis in SOLAR. A genome-wide association study (GWAS for renal sinus fat was performed using an additive model with approximately 2.5 million imputed single nucleotide polymorphisms (SNPs. Finally, we identified the associations of renal sinus fat in our GWAS results with validated SNPs for renal function (n = 16, BMI (n = 32, and waist-to-hip ratio (WHR, n = 14, and applied a multi-SNP genetic risk score method to determine if the SNPs for each renal and obesity trait were in aggregate associated with renal sinus fat. Results The heritability of renal sinus fat was 39% (p Conclusions Renal sinus fat is a heritable trait, even after accounting for generalized and abdominal adiposity. This provides support for further research into the genetic determinants of renal sinus fat. While our study was underpowered to detect genome-wide significant loci, our candidate gene BMI risk score results suggest that variability in renal sinus fat may be associated with SNPs previously known to be associated with generalized adiposity.
Full Text Available Background: Acne vulgaris is one of the most common skin diseases with a multifactorial pathogenesis. Examination of the literature regarding the contribution of smoking to acne shows contradictory results. The aim of this study was to undertake a systematic review of the literature and meta-analysis about the association between acne and smoking. Methods: A systematic review and meta-analysis, when possible were performed. The literature review was based on Pubmed, Scopus and Google Scholar searches using the keywords “(smoking OR tobacco OR nicotine OR cigarettes AND acne”. Only cross-sectional studies were included. Meta-analyses were performed using the RevMan software version 5 for Windows. Four different meta-analyses were carried out: one evaluating the association between smoking habit and acne, one including data stratified by gender, one for studies with a quality score > 6, and one relating to acne classification. Results: Six studies were selected. The first meta-analysis, including all studies, showed a non significant role of smoke in the development of acne: OR 1.05 (95% CI: 0.66–1.67 with random effect estimate. The second meta-analyses, including data stratified by gender, showed a OR=0.99 (95% CI: 0.57–1.73 for males and a OR of 1.45 (95% CI: 0.08–24.64 for females, using random effect for the heterogeneity in both cases. The third meta-analysis, included studies with a quality score >6 resulted in an estimated OR= 0.69 (95% CI: 0.55–0.85: in this case it was possible to use the fixed effect estimate. The last meta-analysis, concerning the severity grading, showed a non-significant result: OR=1.09 (95% CI: 0.61–1.95 using the random effect approach. Conclusions: The first two meta-analyses found no signification association between smoking and
Background: Acne vulgaris is one of the most common skin diseases with a multifactorial pathogenesis. Examination of the literature regarding the contribution of smoking to acne shows contradictory results. The aim of this study was to undertake a systematic review of the literature and meta-analysis about the association between acne and smoking.
Methods: A systematic review and meta-analysis, when possible were performed. The literature review was based on Pubmed, Scopus and Google Scholar searches using the keywords “(smoking OR tobacco OR nicotine OR cigarettes AND acne”. Only cross-sectional studies were included. Meta-analyses were performed using the RevMan software version 5 for Windows. Four different meta-analyses were carried out: one evaluating the association between smoking habit and acne, one including data stratified by gender, one for studies with a quality score > 6, and one relating to acne classification.
Results: Six studies were selected. The first meta-analysis, including all studies, showed a non significant role of smoke in the development of acne: OR 1.05 (95% CI: 0.66–1.67 with random effect estimate. The second meta-analyses, including data stratified by gender, showed a OR=0.99 (95% CI: 0.57–1.73 for males and a OR of 1.45 (95% CI: 0.08–24.64 for females, using random effect for the heterogeneity in both cases. The third meta-analysis, included studies with a quality score >6 resulted in an estimated OR= 0.69 (95% CI: 0.55–0.85: in this case it was possible to use the fixed effect estimate. The last meta-analysis, concerning the severity grading, showed a non-significant result: OR=1.09 (95% CI: 0.61–1.95 using the random effect approach.
Conclusions: The first two meta-analyses found no signification association between smoking and
Cano Carlos; Garcia Fernando; Blanco Armando; Lopez Francisco J; Marin Antonio
Abstract Background Last years' mapping of diverse genomes has generated huge amounts of biological data which are currently dispersed through many databases. Integration of the information available in the various databases is required to unveil possible associations relating already known data. Biological data are often imprecise and noisy. Fuzzy set theory is specially suitable to model imprecise data while association rules are very appropriate to integrate heterogeneous data. Results In ...
Full Text Available Abstract Background Last years' mapping of diverse genomes has generated huge amounts of biological data which are currently dispersed through many databases. Integration of the information available in the various databases is required to unveil possible associations relating already known data. Biological data are often imprecise and noisy. Fuzzy set theory is specially suitable to model imprecise data while association rules are very appropriate to integrate heterogeneous data. Results In this work we propose a novel fuzzy methodology based on a fuzzy association rule mining method for biological knowledge extraction. We apply this methodology over a yeast genome dataset containing heterogeneous information regarding structural and functional genome features. A number of association rules have been found, many of them agreeing with previous research in the area. In addition, a comparison between crisp and fuzzy results proves the fuzzy associations to be more reliable than crisp ones. Conclusion An integrative approach as the one carried out in this work can unveil significant knowledge which is currently hidden and dispersed through the existing biological databases. It is shown that fuzzy association rules can model this knowledge in an intuitive way by using linguistic labels and few easy-understandable parameters.
Wray, N R; Pergadia, M L; Blackwood, D H R; Penninx, B W J H; Gordon, S D; Nyholt, D R; Ripke, S; MacIntyre, D J; McGhee, K A; Maclean, A W; Smit, J H; Hottenga, J J; Willemsen, G; Middeldorp, C M; de Geus, E J C; Lewis, C M; McGuffin, P; Hickie, I B; van den Oord, E J C G; Liu, J Z; Macgregor, S; McEvoy, B P; Byrne, E M; Medland, S E; Statham, D J; Henders, A K; Heath, A C; Montgomery, G W; Martin, N G; Boomsma, D I; Madden, P A F; Sullivan, P F
Major depressive disorder (MDD) is a common complex disorder with a partly genetic etiology. We conducted a genome-wide association study of the MDD2000+ sample (2431 cases, 3673 screened controls and >1 M imputed single-nucleotide polymorphisms (SNPs)). No SNPs achieved genome-wide significance either in the MDD2000+ study, or in meta-analysis with two other studies totaling 5763 cases and 6901 controls. These results imply that common variants of intermediate or large effect do not have main effects in the genetic architecture of MDD. Suggestive but notable results were (a) gene-based tests suggesting roles for adenylate cyclase 3 (ADCY3, 2p23.3) and galanin (GAL, 11q13.3); published functional evidence relates both of these to MDD and serotonergic signaling; (b) support for the bipolar disorder risk variant SNP rs1006737 in CACNA1C (P=0.020, odds ratio=1.10); and (c) lack of support for rs2251219, a SNP identified in a meta-analysis of affective disorder studies (P=0.51). We estimate that sample sizes 1.8- to 2.4-fold greater are needed for association studies of MDD compared with those for schizophrenia to detect variants that explain the same proportion of total variance in liability. Larger study cohorts characterized for genetic and environmental risk factors accumulated prospectively are likely to be needed to dissect more fully the etiology of MDD. PMID:21042317
Full Text Available Epidemiological studies to date have evaluated the association between genetic variants and the susceptibility to obstructive sleep apnea (OSA. However, the results of these studies have been inconclusive. In this current study we performed meta-analysis of genetic association studies (GAS to pool OSA-susceptible genes in Chinese population, to perform a more precise evaluation of the association.Various databases (i.e., PubMed, EMBASE, HuGE Navigator, Wanfang and CNKI were searched to identify all eligible GAS-related variants associated with susceptibility to OSA. The generalized odds ratio metric (ORG and the odds ratio (OR of the allele contrast were used to quantify the impact of genetic variants on the risk of OSA. Cumulative and recursive cumulative meta-analyses (CMA were also performed to investigate the trend and stability of effect sizes as evidence was accumulated.Thirty-two GAS evaluating 13 polymorphisms in 10 genes were included in our meta-analysis. Significant associations were derived for four polymorphisms either for the allele contrast or for the ORG. The variants TNF-α-308G/A, 5-HTTLPR, 5-HTTVNTR, and APOE showed marginal significance for ORG (95% confidence interval [CI]: 2.01(1.31-3.07; 1.31(1.09-1.58; 1.85(1.16-2.95; 1.79(1.10-2.92; and 1.79(1.10-2.92 respectively. In addition, the TNF-α-308G/A, 5-HTTLPR, and 5-HTTVNTR variants showed significance for the allele contrast: 2.15(1.39-3.31; 2.26(1.58-3.24; 1.32(1.12-1.55; and 1.86(1.12-3.08 respectively. CMA showed a trend towards an association, and recursive CMA indicated that more evidence was needed to determine whether this was significant.TNF-α, 5-HTT, and APOE genes can all be proposed as OSA-susceptibility genes in Chinese population. Genome-wide association studies (GWAS are therefore urgently needed to confirm our findings within a larger sample of OSA patients in China.
Folseraas, Trine; Melum, Espen; Rausch, Philipp; Juran, Brian D.; Ellinghaus, Eva; Shiryaev, Alexey; Laerdahl, Jon K.; Ellinghaus, David; Schramm, Christoph; Weismüller, Tobias J.; Gotthardt, Daniel Nils; Hov, Johannes Roksund; Clausen, Ole Petter; Weersma, Rinse K.; Janse, Marcel; Boberg, Kirsten Muri; Björnsson, Einar; Marschall, Hanns-Ulrich; Cleynen, Isabelle; Rosenstiel, Philip; Holm, Kristian; Teufel, Andreas; Rust, Christian; Gieger, Christian; Wichmann, H-Erich; Bergquist, Annika; Ryu, Euijung; Ponsioen, Cyriel Y.; Runz, Heiko; Sterneck, Martina; Vermeire, Severine; Beuers, Ulrich; Wijmenga, Cisca; Schrumpf, Erik; Manns, Michael P.; Lazaridis, Konstantinos N.; Schreiber, Stefan; Baines, John F.; Franke, Andre; Karlsen, Tom H.
Background & Aims A limited number of genetic risk factors have been reported in primary sclerosing cholangitis (PSC). To discover further genetic susceptibility factors for PSC, we followed up on a second tier of single nucleotide polymorphisms (SNPs) from a genome-wide association study (GWAS). Methods We analyzed 45 SNPs in 1221 PSC cases and 3508 controls. The association results from the replication analysis and the original GWAS (715 PSC cases and 2962 controls) were combined in a meta-analysis comprising 1936 PSC cases and 6470 controls. We performed an analysis of bile microbial community composition in 39 PSC patients by 16S rRNA sequencing. Results Seventeen SNPs representing 12 distinct genetic loci achieved nominal significance (Preplication<0.05) in the replication. The most robust novel association was detected at chromosome 1p36 (rs3748816; Pcombined=2.1×10−8) where the MMEL1 and TNFRSF14 genes represent potential disease genes. Eight additional novel loci showed suggestive evidence of association (Prepl<0.05). FUT2 at chromosome 19q13 (rs602662; Pcomb=1.9×10−6, rs281377; Pcomb = 2.1×10−6 and rs601338; Pcomb=2.7×10−6) is notable due to its implication in altered susceptibility to infectious agents. We found that FUT2 secretor status and genotype defined by rs601338 significantly influences biliary microbial community composition in PSC patients. Conclusions We identify multiple new PSC risk loci by extended analysis of a PSC GWAS. FUT2 genotype needs to be taken into account when assessing the influence from microbiota on biliary pathology in PSC. PMID:22521342
Barrett, Jeffrey C; Clayton, David G; Concannon, Patrick;
Type 1 diabetes (T1D) is a common autoimmune disorder that arises from the action of multiple genetic and environmental risk factors. We report the findings of a genome-wide association study of T1D, combined in a meta-analysis with two previously published studies. The total sample set included 7......,514 cases and 9,045 reference samples. Forty-one distinct genomic locations provided evidence for association with T1D in the meta-analysis (P < 10(-6)). After excluding previously reported associations, we further tested 27 regions in an independent set of 4,267 cases, 4,463 controls and 2,319 affected sib......-pair (ASP) families. Of these, 18 regions were replicated (P < 0.01; overall P < 5 x 10(-8)) and 4 additional regions provided nominal evidence of replication (P < 0.05). The many new candidate genes suggested by these results include IL10, IL19, IL20, GLIS3, CD69 and IL27....
Tian, Simiao; Xu, Yang
Many prospective studies have investigated the relationship between sarcopenic obesity (SO) and risk of mortality. However, the results have been controversial. The aim of the present study was to evaluate the association between SO and all-cause mortality in adults by a meta-analysis of prospective cohort studies. A systematic literature search was carried out through electronic databases up to September 2014. A total of nine articles with 12 prospective cohort studies, including 35 287 participants and 14 306 deaths, were included in the meta-analysis. Overall, compared with healthy subjects, subjects with SO had a significant increased risk of all-cause mortality (pooled HR 1.24, 95% CI 1.12-1.37, P < 0.001), with significant heterogeneity among studies (I(2) = 53.18%, P = 0.0188), but no indication for publication bias (P = 0.7373). Heterogeneity became low and no longer significant in the subgroup analyses by three SO definitions. More importantly, SO, defined by mid-arm muscle circumference and muscle strength criteria, significantly increased the risk of mortality (HR 1.46, 95% CI 1.23-1.73 and 1.23, 1.09-1.38, respectively). The risk of all-cause mortality did not appreciably change considering the geography (USA cohorts and non-USA cohorts) or the duration of follow up (≥10 years and <10 years). However, the risk estimate was only significant in men (HR 1.23, 95% CI 1.08-1.41, P = 0.0017), not in women (HR 1.16, P = 0.1332). The results of the present study show that subjects with SO are associated with a 24% increase risk of all-cause mortality, compared with those without SO, in particular in men; the significant association was found independent of geographical location and duration of follow up. PMID:26271226
Full Text Available Abstract Background Several methods have been presented for the analysis of complex interactions between genetic polymorphisms and/or environmental factors. Despite the available methods, there is still a need for alternative methods, because no single method will perform well in all scenarios. The aim of this work was to evaluate the performance of three selected rule based classifier algorithms, RIPPER, RIDOR and PART, for the analysis of genetic association studies. Methods Overall, 42 datasets were simulated with three different case-control models, a varying number of subjects (300, 600, SNPs (500, 1500, 3000 and noise (5%, 10%, 20%. The algorithms were applied to each of the datasets with a set of algorithm-specific settings. Results were further investigated with respect to a the Model, b the Rules, and c the Attribute level. Data analysis was performed using WEKA, SAS and PERL. Results The RIPPER algorithm discovered the true case-control model at least once in >33% of the datasets. The RIDOR and PART algorithm performed poorly for model detection. The RIPPER, RIDOR and PART algorithm discovered the true case-control rules in more than 83%, 83% and 44% of the datasets, respectively. All three algorithms were able to detect the attributes utilized in the respective case-control models in most datasets. Conclusions The current analyses substantiate the utility of rule based classifiers such as RIPPER, RIDOR and PART for the detection of gene-gene/gene-environment interactions in genetic association studies. These classifiers could provide a valuable new method, complementing existing approaches, in the analysis of genetic association studies. The methods provide an advantage in being able to handle both categorical and continuous variable types. Further, because the outputs of the analyses are easy to interpret, the rule based classifier approach could quickly generate testable hypotheses for additional evaluation. Since the algorithms are
Full Text Available Pathway-based analysis, used in conjunction with genome-wide association study (GWAS techniques, is a powerful tool to detect subtle but systematic patterns in genome that can help elucidate complex diseases, like cancers. Here, we stepped back from genetic polymorphisms at a single locus and examined how multiple association signals can be orchestrated to find pathways related to lung cancer susceptibility. We used single-nucleotide polymorphism (SNP array data from 869 non-small cell lung cancer (NSCLC cases from a previous GWAS at the National Cancer Center and 1,533 controls from the Korean Association Resource project for the pathway-based analysis. After mapping single-nucleotide polymorphisms to genes, considering their coding region and regulatory elements (±20 kbp, multivariate logistic regression of additive and dominant genetic models were fitted against disease status, with adjustments for age, gender, and smoking status. Pathway statistics were evaluated using Gene Set Enrichment Analysis (GSEA and Adaptive Rank Truncated Product (ARTP methods. Among 880 pathways, 11 showed relatively significant statistics compared to our positive controls (PGSEA≤0.025, false discovery rate≤0.25. Candidate pathways were validated using the ARTP method and similarities between pathways were computed against each other. The top-ranked pathways were ABC Transporters (PGSEA<0.001, PARTP = 0.001, VEGF Signaling Pathway (PGSEA<0.001, PARTP = 0.008, G1/S Check Point (PGSEA = 0.004, PARTP = 0.013, and NRAGE Signals Death through JNK (PGSEA = 0.006, PARTP = 0.001. Our results demonstrate that pathway analysis can shed light on post-GWAS research and help identify potential targets for cancer susceptibility.
Vivar, Juan C.; Sarzynski, Mark A.; Sung, Yun Ju; Timmons, James A.; Bouchard, Claude; Rankinen, Tuomo
We previously reported the findings from a genome-wide association study of the response of maximal oxygen uptake (V̇o2max) to an exercise program. Here we follow up on these results to generate hypotheses on genes, pathways, and systems involved in the ability to respond to exercise training. A systems biology approach can help us better establish a comprehensive physiological description of what underlies V̇o2maxtrainability. The primary material for this exploration was the individual single-nucleotide polymorphism (SNP), SNP-gene mapping, and statistical significance levels. We aimed to generate novel hypotheses through analyses that go beyond statistical association of single-locus markers. This was accomplished through three complementary approaches: 1) building de novo evidence of gene candidacy through informatics-driven literature mining; 2) aggregating evidence from statistical associations to link variant enrichment in biological pathways to V̇o2max trainability; and 3) predicting possible consequences of variants residing in the pathways of interest. We started with candidate gene prioritization followed by pathway analysis focused on overrepresentation analysis and gene set enrichment analysis. Subsequently, leads were followed using in silico analysis of predicted SNP functions. Pathways related to cellular energetics (pantothenate and CoA biosynthesis; PPAR signaling) and immune functions (complement and coagulation cascades) had the highest levels of SNP burden. In particular, long-chain fatty acid transport and fatty acid oxidation genes and sequence variants were found to influence differences in V̇o2max trainability. Together, these methods allow for the hypothesis-driven ranking and prioritization of genes and pathways for future experimental testing and validation. PMID:23990238
Zumpano, Veronica; Ciurean, Roxana; Micu, Mihai; Balteanu, Dan; Glade, Thomas
When analyzing the risk for a region where landslides constitute a threat for the society and the environment, a fully quantitative approach often becomes impracticable. The magnitude, frequency and location of landslides and a reasonably complete inventory of historical events is commonly not available. Likewise, a thorough investigation of the damaged assets and quantification of losses is rarely possible. Nevertheless, an alternative approach can be engaged in areas where information regarding the environmental conditions leading to the occurrence of landslides including their relative location, and the characteristics and distribution of elements at risk are known. This contribution proposes a methodology for a landslide risk analysis applicable at regional scale taking into account the spatial probability and consequences of past damaging events. Since the temporal information used to calculate the detailed hazard probability is missing, a susceptibility analysis is performed by using a data-driven Bayesian method (Weights of Evidence modeling technique) which analyzes the relation between a training set (past landslide events) and multiple predisposing factors (lithology, landuse, slope, aspect, internal relief, altitude), in order to predict areas that are less-to-more susceptible to landslide initiation. The consequence analysis is based on a generalized assessment of vulnerability, exposure and value of the elements at risk (i.e. buildings and roads) using cadastral and statistical data. For both components of the risk analysis (susceptibility analysis and consequence analysis) an estimation of uncertainty is performed by defining a central value (which represents the statistical mean) and a measure of value range (minimum and maximum) of the input parameters. As the procedure operates at a spatial level, the distribution of risk and the annual probability of expected losses are expressed numerically as well as spatially with the use of GIS. The developed
Verschuren, Jeffrey J. W.; Trompet, Stella; Sampietro, M. Lourdes; Heijmans, Bastiaan T.; Koch, Werner; Kastrati, Adnan; Houwing-Duistermaat, Jeanine J.; Slagboom, P. Eline; Quax, Paul H. A.; Jukema, J. Wouter
Background Coronary restenosis after percutaneous coronary intervention (PCI) still remains a significant limitation of the procedure. The causative mechanisms of restenosis have not yet been fully identified. The goal of the current study was to perform gene-set analysis of biological pathways related to inflammation, proliferation, vascular function and transcriptional regulation on coronary restenosis to identify novel genes and pathways related to this condition. Methods The GENetic DEterminants of Restenosis (GENDER) databank contains genotypic data of 556,099SNPs of 295 cases with restenosis and 571 matched controls. Fifty-four pathways, related to known restenosis-related processes, were selected. Gene-set analysis was performed using PLINK, GRASS and ALIGATOR software. Pathways with a p<0.01 were fine-mapped and significantly associated SNPs were analyzed in an independent replication cohort. Results Six pathways (cell-extracellular matrix (ECM) interactions pathway, IL2 signaling pathway, IL6 signaling pathway, platelet derived growth factor pathway, vitamin D receptor pathway and the mitochondria pathway) were significantly associated in one or two of the software packages. Two SNPs in the cell-ECM interactions pathway were replicated in an independent restenosis cohort. No replication was obtained for the other pathways. Conclusion With these results we demonstrate a potential role of the cell-ECM interactions pathway in the development of coronary restenosis. These findings contribute to the increasing knowledge of the genetic etiology of restenosis formation and could serve as a hypothesis-generating effort for further functional studies. PMID:23950981
Brand, J; Comoretto, G; Felli, M; Palagi, F; Palla, Fabrizio; Valdettaro, R
(Abridged) H2O masers in 14 SFRs have been monitored once every 2-3 months for up to 13 years. We investigate the dependence of the overall spectral morphology of the maser emission and its variability on the luminosity of the YSO, and look for bursts and gradients in individual components. We find that higher-luminosity sources tend to be associated with stronger and more stable masers.Higher-luminosity YSOs can excite more emission components over a larger range in velocity, yet the emission that dominates the spectra is at a velocity very near that of the molecular cloud in which the objects are embedded. For Lfir > 3E+04 Lo the maser emission becomes increasingly structured and more extended in velocity with increasing Lfir. Below this limit the maser emission shows the same variety of morphologies, but without a clear dependence on Lfir and with a smaller velocity extent. Also, for sources with Lfir above this limit, the water maser is always present above the 5sigma-level; below it, the typical 5sigma d...
Full Text Available Abstract Background Gene-gene interaction in genetic association studies is computationally intensive when a large number of SNPs are involved. Most of the latest Central Processing Units (CPUs have multiple cores, whereas Graphics Processing Units (GPUs also have hundreds of cores and have been recently used to implement faster scientific software. However, currently there are no genetic analysis software packages that allow users to fully utilize the computing power of these multi-core devices for genetic interaction analysis for binary traits. Findings Here we present a novel software package GENIE, which utilizes the power of multiple GPU or CPU processor cores to parallelize the interaction analysis. GENIE reads an entire genetic association study dataset into memory and partitions the dataset into fragments with non-overlapping sets of SNPs. For each fragment, GENIE analyzes: 1 the interaction of SNPs within it in parallel, and 2 the interaction between the SNPs of the current fragment and other fragments in parallel. We tested GENIE on a large-scale candidate gene study on high-density lipoprotein cholesterol. Using an NVIDIA Tesla C1060 graphics card, the GPU mode of GENIE achieves a speedup of 27 times over its single-core CPU mode run. Conclusions GENIE is open-source, economical, user-friendly, and scalable. Since the computing power and memory capacity of graphics cards are increasing rapidly while their cost is going down, we anticipate that GENIE will achieve greater speedups with faster GPU cards. Documentation, source code, and precompiled binaries can be downloaded from http://www.cceb.upenn.edu/~mli/software/GENIE/.
Background Gene-gene interaction in genetic association studies is computationally intensive when a large number of SNPs are involved. Most of the latest Central Processing Units (CPUs) have multiple cores, whereas Graphics Processing Units (GPUs) also have hundreds of cores and have been recently used to implement faster scientific software. However, currently there are no genetic analysis software packages that allow users to fully utilize the computing power of these multi-core devices for genetic interaction analysis for binary traits. Findings Here we present a novel software package GENIE, which utilizes the power of multiple GPU or CPU processor cores to parallelize the interaction analysis. GENIE reads an entire genetic association study dataset into memory and partitions the dataset into fragments with non-overlapping sets of SNPs. For each fragment, GENIE analyzes: 1) the interaction of SNPs within it in parallel, and 2) the interaction between the SNPs of the current fragment and other fragments in parallel. We tested GENIE on a large-scale candidate gene study on high-density lipoprotein cholesterol. Using an NVIDIA Tesla C1060 graphics card, the GPU mode of GENIE achieves a speedup of 27 times over its single-core CPU mode run. Conclusions GENIE is open-source, economical, user-friendly, and scalable. Since the computing power and memory capacity of graphics cards are increasing rapidly while their cost is going down, we anticipate that GENIE will achieve greater speedups with faster GPU cards. Documentation, source code, and precompiled binaries can be downloaded from http://www.cceb.upenn.edu/~mli/software/GENIE/. PMID:21615923
J. B. Alam, M. Jobair Bin Alam, M. M. Rahman, A. K. Dikshit, S. K. Khan
Full Text Available The study reports the level of traffic-induced noise pollution in Sylhet City. For this purpose noise levels have been measured at thirty-seven major locations of the city from 7 am to 11 pm during the working days. It was observed that at all the locations the level of noise remains far above the acceptable limit for all the time. The noise level on the main road near residential area, hospital area and educational area were above the recommended level (65dBA. It was found that the predictive equations are in 60-70% correlated with the measured noise level. The study suggests that vulnerable institutions like school and hospital should be located about 60m away from the roadside unless any special arrangement to alleviate sound is used.
Quilez, Javier; Martínez, Verónica; Woolliams, John A.; Sanchez, Armand; Pong-Wong, Ricardo; Kennedy, Lorna J.; Quinnell, Rupert J.; William E. R. Ollier; Roura, Xavier; Ferrer, Lluís; Altet, Laura; Francino, Olga
Background: the current disease model for leishmaniasis suggests that only a proportion of infected individuals develop clinical disease, while others are asymptomatically infected due to immune control of infection. The factors that determine whether individuals progress to clinical disease following Leishmania infection are unclear, although previous studies suggest a role for host genetics. Our hypothesis was that canine leishmaniasis is a complex disease with multiple loci responsible for...
Javier Quilez; Verónica Martínez; Woolliams, John A.; Armand Sanchez; Ricardo Pong-Wong; Kennedy, Lorna J.; Quinnell, Rupert J; Ollier, William E.R.; Xavier Roura; Lluís Ferrer; Laura Altet; Olga Francino
BACKGROUND: The current disease model for leishmaniasis suggests that only a proportion of infected individuals develop clinical disease, while others are asymptomatically infected due to immune control of infection. The factors that determine whether individuals progress to clinical disease following Leishmania infection are unclear, although previous studies suggest a role for host genetics. Our hypothesis was that canine leishmaniasis is a complex disease with multiple loci responsible for...
C.M. O'Seaghdha (Conall); H. Wu (Hongsheng); Q. Yang (Qiong); K. Kapur (Karen); I. Guessous (Idris); P. Zuber (Patrick); A. Köttgen (Anna); C. Stoudmann (Candice); A. Teumer (Alexander); Z. Kutalik (Zoltán); M. Mangino (Massimo); A. Dehghan (Abbas); W. Zhang (Weihua); G. Eiriksdottir (Gudny); G. Li (Guo); T. Tanaka (Toshiko); L. Portas (Laura); L.M. Lopez (Lorna); C. Hayward (Caroline); K. Lohman (Kurt); K. Matsuda (Koichi); S. Padmanabhan (Sandosh); D. Firsov (Dmitri); R. Sorice; S. Ulivi (Shelia); A.C. Brockhaus (A. Catharina); M.E. Kleber (Marcus); A. Mahajan (Anubha); F.D.J. Ernst (Florian); V. Gudnason (Vilmundur); L.J. Launer (Lenore); A. Mace (Aurelien); E. Boerwinckle (Eric); D.E. Arking (Dan); C. Tanikawa (Chizu); Y. Nakamura (Yusuke); M.J. Brown (Morris); J.-M. Gaspoz (Jean-Michel); J.-M. Theler (Jean-Marc); D.S. Siscovick (David); B.M. Psaty (Bruce); S.M. Bergmann (Sven); P. Vollenweider (Peter); V. Vitart (Veronique); A.F. Wright (Alan); T. Zemunik (Tatijana); M. Boban (Mladen); I. Kolcic (Ivana); P. Navarro (Pau); E.M. Brown (Edward); K. Estrada Gil (Karol); J. Ding (Jinhui); T.B. Harris (Tamara); S. Bandinelli (Stefania); D.G. Hernandez (Dena); A. Singleton (Andrew); S. Girotto; D. Ruggiero; A.P. d' Adamo (Adamo Pio); A. Robino (Antonietta); T. Meitinger (Thomas); C. Meisinger (Christa); G. Davies (Gail); J.M. Starr (John); J.C. Chambers (John); B.O. Boehm (Bernhard); B. Winkelmann; J. Huang (Jian); D. Murgia (Daniela); S.H. Wild (Sarah); H. Campbell (Harry); A.D. Morris (Andrew); O.H. Franco (Oscar); A. Hofman (Albert); A.G. Uitterlinden (André); F. Rivadeneira Ramirez (Fernando); U. Vol̈ker (Uwe); M. Hannemann (Mario); R. Biffar (Reiner); W. Hoffmann (Wolfgang); S.-Y. Shin; P. Lescuyer (Pierre); H. Henry (Hughes); C. Schurmann (Claudia); P. Munroe (Patricia); P. Gasparini (Paolo); N. Pirastu (Nicola); M. Ciullo; C. Gieger (Christian); W. März (Winfried); L. Lind (Lars); T.D. Spector (Timothy); G.D. Smith; I. Rudan (Igor); J.F. Wilson (James); O. Polasek (Ozren); I.J. Deary (Ian); M. Pirastu (Mario); L. Ferrucci (Luigi); Y. Liu (Yongmei); B. Kestenbaum (Bryan); J.S. Kooner (Jaspal); J.C.M. Witteman (Jacqueline); M. Nauck (Matthias); W.H.L. Kao (Wen); H. Wallaschofski (Henri); O. Bonny (Olivier); C. Fox (Craig); M. Bochud (Murielle)
textabstractCalcium is vital to the normal functioning of multiple organ systems and its serum concentration is tightly regulated. Apart from CASR, the genes associated with serum calcium are largely unknown. We conducted a genome-wide association meta-analysis of 39,400 individuals from 17 populati
Matsuba, Ren; Imamura, Minako; Tanaka, Yasushi; Iwata, Minoru; Hirose, Hiroshi; Kaku, Kohei; Maegawa, Hiroshi; Watada, Hirotaka; Tobe, Kazuyuki; Kashiwagi, Atsunori; Kawamori, Ryuzo; Maeda, Shiro
Aim We performed a replication study in a Japanese population to evaluate the association between type 2 diabetes and six susceptibility loci (TMEM154, SSR1, FAF1, POU5F1, ARL15, and MPHOSPH9) originally identified by a transethnic meta-analysis of genome-wide association studies (GWAS) in 2014. Methods We genotyped 7,620 Japanese participants (5,817 type 2 diabetes patients and 1,803 controls) for each of the single nucleotide polymorphisms (SNPs) using a multiplex polymerase chain reaction invader assay. The association of each SNP locus with the disease was evaluated using logistic regression analysis. Results Of the six SNPs examined in this study, four (rs6813195 near TMEM154, rs17106184 in FAF1, rs3130501 in POU5F1 and rs4275659 near MPHOSPH9) had the same direction of effect as in the original reports, but two (rs9505118 in SSR1 and rs702634 in ARL15) had the opposite direction of effect. Among these loci, rs3130501 and rs4275659 were nominally associated with type 2 diabetes (rs3130501; p = 0.017, odds ratio [OR] = 1.113, 95% confidence interval [CI] 1.019–1.215, rs4275659; p = 0.012, OR = 1.127, 95% CI 1.026–1.238, adjusted for sex, age and body mass index), but we did not observe a significant association with type 2 diabetes for any of the six evaluated SNP loci in our Japanese population. Conclusions Our results indicate that effects of the six SNP loci identified in the transethnic GWAS meta-analysis are not major among the Japanese, although SNPs in POU5F1 and MPHOSPH9 loci may have some effect on susceptibility to type 2 diabetes in this population. PMID:27115357
Nasopharyngeal carcinoma (NPC) is a highly metastatic epithelial malignancy showing high prevalence in Southeast Asia and North Africa. The BCL2-associated X (BAX) gene encodes the most important pro-apoptotic member of the BCL2 family. We have recently shown that BCL2 and BCL2L12, two other members of the same apoptosis-related family, possess significant prognostic value in NPC. The objective of the current study was to analyze BAX mRNA expression in nasopharyngeal biopsies of NPC patients, and to assess its prognostic potential in this disease. Total RNA was isolated from 88 malignant and 9 hyperplastic nasopharyngeal biopsies, resected from Tunisian patients. After cDNA synthesis by reverse transcription of polyadenylated RNA, BAX mRNA expression was analyzed using a highly sensitive quantitative real-time polymerase chain reaction (qRT-PCR) method. Lower BAX mRNA levels were detected in NPC biopsies than in hyperplastic nasopharyngeal samples. BAX mRNA expression status was associated with low tumor extent, negative regional lymph node status, and absence of distant metastases. Kaplan-Meier survival analysis demonstrated that patients with BAX mRNA-positive NPC have significantly longer disease-free survival (DFS) and overall survival (OS). In accordance with these findings, Cox regression analysis revealed that BAX mRNA expression can be considered as a favorable prognostic indicator of DFS and OS in NPC, independent of their gender, age, tumor histology, tumor extent, and nodal status. Furthermore, NPC patients without distant metastases are less likely to relapse when their primary tumor is BAX mRNA-positive, compared to metastasis-free patients with a BAX-negative nasopharyngeal malignancy. This is the first study examining the potential clinical utility of BAX as a prognostic tumor biomarker in NPC. We provide evidence that BAX mRNA expression can be considered as an independent favorable prognostic indicator of DFS and OS in NPC
Schifano, Elizabeth D.; Epstein, Michael P.; Bielak, Lawrence F.; Jhun, Min A; Kardia, Sharon L. R.; Peyser, Patricia A; Lin, Xihong
Genome-wide association studies (GWAS) are a popular approach for identifying common genetic variants and epistatic effects associated with a disease phenotype. The traditional statistical analysis of such GWAS attempts to assess the association between each individual Single Nucleotide Polymorphism (SNP) and the observed phenotype. Recently, kernel machine-based tests for association between a SNP set (e.g., SNPs in a gene) and the disease phenotype have been proposed as a useful alternative...
Johan Håkon Bjørngaard; David Carslake; Tom Ivar Lund Nilsen; Linthorst, Astrid C E; George Davey Smith; David Gunnell; Pål Richard Romundstad
Objective: While high body mass index is associated with an increased risk of depression and anxiety, cumulative evidence indicates that it is a protective factor for suicide. The associations from conventional observational studies of body mass index with mental health outcomes are likely to be influenced by reverse causality or confounding by ill-health. In the present study, we investigated the associations between offspring body mass index and parental anxiety, depression and suicide ...
Leslie, Richard; O’Donnell, Christopher J.; Johnson, Andrew D.
Summary: We created a deeply extracted and annotated database of genome-wide association studies (GWAS) results. GRASP v1.0 contains >6.2 million SNP-phenotype association from among 1390 GWAS studies. We re-annotated GWAS results with 16 annotation sources including some rarely compared to GWAS results (e.g. RNAediting sites, lincRNAs, PTMs).
Shyn, S I; Shi, J; Kraft, J B; Potash, J B; Knowles, J A; Weissman, M M; Garriock, H A; Yokoyama, J S; McGrath, P J; Peters, E J; Scheftner, W A; Coryell, W; Lawson, W B; Jancic, D; Gejman, P V; Sanders, A R; Holmans, P; Slager, S L; Levinson, D F; Hamilton, S P
We report a genome-wide association study (GWAS) of major depressive disorder (MDD) in 1221 cases from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study and 1636 screened controls. No genome-wide evidence for association was detected. We also carried out a meta-analysis of three European-ancestry MDD GWAS data sets: STAR*D, Genetics of Recurrent Early-onset Depression and the publicly available Genetic Association Information Network-MDD data set. These data sets, totaling 3957 cases and 3428 controls, were genotyped using four different platforms (Affymetrix 6.0, 5.0 and 500 K, and Perlegen). For each of 2.4 million HapMap II single-nucleotide polymorphisms (SNPs), using genotyped data where available and imputed data otherwise, single-SNP association tests were carried out in each sample with correction for ancestry-informative principal components. The strongest evidence for association in the meta-analysis was observed for intronic SNPs in ATP6V1B2 (P=6.78 x 10⁻⁷), SP4 (P=7.68 x 10⁻⁷) and GRM7 (P=1.11 x 10⁻⁶). Additional exploratory analyses were carried out for a narrower phenotype (recurrent MDD with onset before age 31, N=2191 cases), and separately for males and females. Several of the best findings were supported primarily by evidence from narrow cases or from either males or females. On the basis of previous biological evidence, we consider GRM7 a strong MDD candidate gene. Larger samples will be required to determine whether any common SNPs are significantly associated with MDD. PMID:20038947
Paternoster, Lavinia; Standl, Marie; Chen, Chih-Mei;
Atopic dermatitis (AD) is a commonly occurring chronic skin disease with high heritability. Apart from filaggrin (FLG), the genes influencing atopic dermatitis are largely unknown. We conducted a genome-wide association meta-analysis of 5,606 affected individuals and 20,565 controls from 16......(-8)). We also replicated association with the FLG locus and with two recently identified association signals at 11q13.5 (rs7927894; P = 0.008) and 20q13.33 (rs6010620; P = 0.002). Our results underline the importance of both epidermal barrier function and immune dysregulation in atopic dermatitis...
OSHIO, Takashi; Kobayashi, Miki
In this study, we examined the differences between smoking and drinking in regard to their associations with socioeconomic factors among about 7,000 Japanese workers. Using microdata from nationwide surveys in Japan, we estimated bivariate probit models to jointly explore how smoking and drinking are related to a wide variety of socioeconomic factors. We found that only educational attainment is consistently and negatively associated with both smoking and drinking for both genders. The associ...
Full Text Available BACKGROUND: Several genome-wide association studies (GWAS involving European populations have successfully identified risk genetic variants associated with type 2 diabetes mellitus (T2DM. However, the effects conferred by these variants in Han Chinese population have not yet been fully elucidated. METHODS: We analyzed the effects of 24 risk genetic variants with reported associations from European GWAS in 3,040 Han Chinese subjects in Taiwan (including 1,520 T2DM cases and 1,520 controls. The discriminative power of the prediction models with and without genotype scores was compared. We further meta-analyzed the association of these variants with T2DM by pooling all candidate-gene association studies conducted in Han Chinese. RESULTS: Five risk variants in IGF2BP2 (rs4402960, rs1470579, CDKAL1 (rs10946398, SLC30A8 (rs13266634, and HHEX (rs1111875 genes were nominally associated with T2DM in our samples. The odds ratio was 2.22 (95% confidence interval, 1.81-2.73, P34 as compared with subjects with the lowest quartile (score<29. The incoporation of genotype score into the predictive model increased the C-statistics from 0.627 to 0.657 (P<0.0001. These estimates are very close to those observed in European populations. Gene-environment interaction analysis showed a significant interaction between rs13266634 in SLC30A8 gene and age on T2DM risk (P<0.0001. Further meta-analysis pooling 20 studies in Han Chinese confirmed the association of 10 genetic variants in IGF2BP2, CDKAL1, JAZF1, SCL30A8, HHEX, TCF7L2, EXT2, and FTO genes with T2DM. The effect sizes conferred by these risk variants in Han Chinese were similar to those observed in Europeans but the allele frequencies differ substantially between two populations. CONCLUSION: We confirmed the association of 10 variants identified by European GWAS with T2DM in Han Chinese population. The incorporation of genotype scores into the prediction model led to a small but significant improvement in T2DM
Hägg, Sara; Ganna, Andrea; Van Der Laan, Sander W; Esko, Tonu; Pers, Tune H; Locke, Adam E; Berndt, Sonja I; Justice, Anne E; Kahali, Bratati; Siemelink, Marten A; Pasterkamp, Gerard; Strachan, David P; Speliotes, Elizabeth K; North, Kari E; Loos, Ruth J F; Hirschhorn, Joel N; Pawitan, Yudi; Ingelsson, Erik
ANthropometric Traits (GIANT) consortium. Each cohort was tested for association between ∼2.4 million (Stage 1) or ∼200 000 (Stage 2) imputed or genotyped single variants and BMI, and summary statistics were subsequently meta-analyzed in 17 941 genes. We used the 'VErsatile Gene-based Association Study' (VEGAS...
Shao Zhimin; Shen Zhenzhou; Yan Tingting; Zhou Liheng; Jiang Yiwei; Lu Jinsong
Abstract Background Sulfotransferase (SULT) plays an important role in the formation of estrogen which is usually conferred as a risk factor for breast cancer. Polymorphism of the SULT1A1 may be closely associated with breast cancer. However, studies on the association between polymorphism and breast cancer have yielded inconsistent results. We performed a meta-analysis including ethnic subgroup and menopausal statue subgroup to investigate the association of SULT1A1 Arg213His polymorphism wi...
Verhoeven, Virginie J. M.; Hysi, Pirro G.; Saw, Seang-Mei; Vitart, Veronique; Mirshahi, Alireza; Guggenheim, Jeremy A.; Cotch, Mary Frances; Yamashiro, Kenji; Baird, Paul N.; Mackey, David A.; Wojciechowski, Robert; Ikram, M. Kamran; Hewitt, Alex W.; Duggal, Priya; Janmahasatian, Sarayut
Myopia is a complex genetic disorder and a common cause of visual impairment among working age adults. Genome-wide association studies have identified susceptibility loci on chromosomes 15q14 and 15q25 in Caucasian populations of European ancestry. Here, we present a confirmation and meta-analysis study in which we assessed whether these two loci are also associated with myopia in other populations. The study population comprised 31 cohorts from the Consortium of Refractive Error and Myopia (...
Reiling, Erwin; van Vliet-Ostaptchouk, Jana V; van 't Riet, Esther;
Mitochondria play an important role in many processes, like glucose metabolism, fatty acid oxidation and ATP synthesis. In this study, we aimed to identify association of common polymorphisms in nuclear-encoded genes involved in mitochondrial protein synthesis and biogenesis with type II diabetes...... for correct mitochondrial protein synthesis and biogenesis: aminoacyl tRNA synthetases, translation initiation factors, tRNA modifying enzymes and mitochondrial DNA transcription and replication. SNPs showing evidence for association with T2DM were measured in second stage genotyping (n=10164......-wide association studies, this SNP was also not associated with T2DM (P=0.72). In conclusion, we did not find evidence for association of common variants in 13 nuclear-encoded mitochondrial proteins with T2DM.European Journal of Human Genetics advance online publication, 11 February 2009; doi:10.1038/ejhg.2009.4....
Full Text Available Abstract Background The incidence of fungal healthcare-associated infection (HAI has increased in a major teaching hospital in the northern part of Taiwan over the past decade, especially in the intensive care units (ICUs. The purpose of this study was to determine the factors that were responsible for the outbreak and trend in the ICU. Methods Surveillance fungal cultures were obtained from “sterile” objects, antiseptic solutions, environment of infected patients and hands of medical personnel. Risk factors for comparison included age, gender, admission service, and total length of stay in the ICU, Acute Physiology and Chronic Health Evaluation (APACHE II scores at admission to the ICU, main diagnosis on ICU admission, use of invasive devices, receipt of hemodialysis, total parenteral nutrition (TPN use, history of antibiotic therapy before HAI or during ICU stay in no HAI group, and ICU discharge status (ie, dead or alive. Univariable analysis followed by multiple logistic regression analysis was performed to identify the independent risk factors for ICU fungal HAIs and ICU mortality. Results There was a significant trend in ICU fungal HAIs from 1998 to 2009 (P Candida albicans (27.3%, Candida tropicalis (6.6%, Candida glabrata (6.6%, Candida parapsilosis (1.9%, Candida species (0.8%, and other fungi (1.9%. Candida albicans accounted for 63% of all Candida species. Yeasts were found in the environment of more heavily infected patients. The independent risk factors (P P Conclusions There was a secular trend of an increasing number of fungal HAIs in our ICU over the past decade. Patients with ICU fungal HAIs had a significantly higher mortality rate than did patients without ICU HAIs. Total parenteral nutrition was a significant risk factor for all types of ICU fungal HAIs, and its use should be monitored closely.
Jing, Chen; Xueyao, Han; Linong, Ji
The multiple small-scale association studies of candidate genes for type 2 diabetes mellitus in the Chinese Han population have shown inconsistent results. Here, we performed a meta-analysis to evaluate the contribution of five candidate genes to the pathogenesis of type 2 diabetes in the Chinese Han population. We searched for relevant published papers and used STATA v.11.0 to perform a meta-analysis on six single-nucleotide polymorphisms in five genes-ADIPOQ-rs2241766 (SNP45) and -rs1501299 (SNP276), ADRB3-rs4994 (Trp64Arg), CAPN10-rs3792267 (SNP43), ENPP1-rs1044498 (K121Q), and PPARGC1A-rs8192678 (Gly482Ser)-in the Chinese Han population under an additive genetic model. The pooled odds ratios (95% confidence intervals and P-values) were 0.71 (0.60-0.83; P ADRB3-rs4994, 0.79 (0.57-1.10; P = 0.163) for CAPN10-rs3792267, 1.41 (1.13-1.76; P = 0.003) for ENPP1-rs1044498, and 1.54 (1.34-1.81; P ADRB3-rs4994, ENPP1-rs1044498, and PPARGC1A-rs8192678 (I² = 0.0, 43.4, and 23.3%, respectively). Under an additive genetic model, the C allele of ADRB3-rs4994, the C allele of ENPP1-rs1044498, and the A allele of PPARGC1A-rs8192678 increase the risk of type 2 diabetes in the Chinese Han population. PMID:22391941
Shao, Shanshan; Niu, Yanfeng; Zhang, Xiaohui; Kong, Rui; Wang, Jia; Liu, Lingfei; Luo, Xiu; Zhang, Jiajia; Song, Ranran
KIAA0319 at the DYX2 locus is one of the most extensively studied candidate genes for developmental dyslexia (DD) owing to its important role in neuronal migration. Previous research on associations between KIAA0319 genetic variations and DD has yielded inconsistent results. It is important to establish a more precise estimate of the DD risk associated with these genetic variations. We carried out a meta-analysis of association studies involving KIAA0319 polymorphisms and DD risk. The results of pooled analysis indicated that none of the six investigated markers in or near the KIAA0319 gene are associated with DD. However, a stratified analysis by the study population revealed opposite associations involving KIAA0319 rs4504469 in European and Asian subgroups. The stratified analysis also showed that the KIAA0319 rs9461045 minor allele (T allele) has a protective effect in Asians. This meta-analysis has allowed us to establish the effects of specific KIAA0319 polymorphisms on DD risk with greater precision, as they vary across populations; analyzing one single nucleotide polymorphism at a time could not fully explain the genetic association for DD. PMID:27464509
Elliott Katherine S
Full Text Available Abstract Background Genome-wide association studies have been successful in finding common variants influencing common traits. However, these associations only account for a fraction of trait heritability. There has been a shift in the field towards studying low frequency and rare variants, which are now widely recognised as putative complex trait determinants. Despite this increasing focus on examining the role of low frequency and rare variants in complex disease susceptibility, there is a lack of user-friendly analytical packages implementing powerful association tests for the analysis of rare variants. Results We have developed two software tools, CCRaVAT (Case-Control Rare Variant Analysis Tool and QuTie (Quantitative Trait, which enable efficient large-scale analysis of low frequency and rare variants. Both programs implement a collapsing method examining the accumulation of low frequency and rare variants across a locus of interest that has more power than single variant analysis. CCRaVAT carries out case-control analyses whereas QuTie has been developed for continuous trait analysis. Conclusions CCRaVAT and QuTie are easy to use software tools that allow users to perform genome-wide association analysis on low frequency and rare variants for both binary and quantitative traits. The software is freely available and provides the genetics community with a resource to perform association analysis on rarer genetic variants.
Wu, Guodong; Wu, Michael; Zhi, Degui
Next-generation sequencing data pose a severe curse of dimensionality, complicating traditional "single marker—single trait" analysis. We propose a two-stage combined p-value method for pathway analysis. The first stage is at the gene level, where we integrate effects within a gene using the Sequence Kernel Association Test (SKAT). The second stage is at the pathway level, where we perform a correlated Lancaster procedure to detect joint effects from multiple genes within a pathway. We show that the Lancaster procedure is optimal in Bahadur efficiency among all combined p-value methods. The Bahadur efficiency,limε→0N(2)/N(1)=ϕ12(θ), compares sample sizes among different statistical tests when signals become sparse in sequencing data, i.e. ε →0. The optimal Bahadur efficiency ensures that the Lancaster procedure asymptotically requires a minimal sample size to detect sparse signals (PN(i)<ε→0). The Lancaster procedure can also be applied to meta-analysis. Extensive empirical assessments of exome sequencing data show that the proposed method outperforms Gene Set Enrichment Analysis (GSEA). We applied the competitive Lancaster procedure to meta-analysis data generated by the Global Lipids Genetics Consortium to identify pathways significantly associated with high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, and total cholesterol. PMID:27380176
Meinan Chen; Yanhua Rao; Yi Zheng; Shiqing Wei; Ye Li; Tong Guo; Ping Yin
BACKGROUND: Conclusions drawn from meta-analyses on the association between soy isoflavone intake and breast cancer risk for pre- and post-menopausal women are not fully consistent. These meta-analyses did not explore the influence of different study designs on the pooled results on the basis of distinguishing between pre- and post-menopausal women. METHODOLOGY AND PRINCIPAL FINDINGS: We performed a meta-analysis of 35 studies which reported results of association between soy isoflavone intak...
Conall M O'Seaghdha
Full Text Available Calcium is vital to the normal functioning of multiple organ systems and its serum concentration is tightly regulated. Apart from CASR, the genes associated with serum calcium are largely unknown. We conducted a genome-wide association meta-analysis of 39,400 individuals from 17 population-based cohorts and investigated the 14 most strongly associated loci in ≤ 21,679 additional individuals. Seven loci (six new regions in association with serum calcium were identified and replicated. Rs1570669 near CYP24A1 (P = 9.1E-12, rs10491003 upstream of GATA3 (P = 4.8E-09 and rs7481584 in CARS (P = 1.2E-10 implicate regions involved in Mendelian calcemic disorders: Rs1550532 in DGKD (P = 8.2E-11, also associated with bone density, and rs7336933 near DGKH/KIAA0564 (P = 9.1E-10 are near genes that encode distinct isoforms of diacylglycerol kinase. Rs780094 is in GCKR. We characterized the expression of these genes in gut, kidney, and bone, and demonstrate modulation of gene expression in bone in response to dietary calcium in mice. Our results shed new light on the genetics of calcium homeostasis.
Zhu, Hongcheng; Yang, Xi; Zhang, Chi; Zhu, Chen; Tao, Guangzhou; ZHAO, LIANJUN; Tang, Shaowen; Shu, Zheng; Cai, Jing; Dai, Shengbin; Qin, Qin; Xu, Liping; Cheng, Hongyan; Sun, Xinchen
Background Red and processed meat was concluded as a limited-suggestive risk factor of gastric cancer by the World Cancer Research Fund. However, recent epidemiological studies have yielded inconclusive results. Methods We searched Medline, EMBASE, and the Cochrane Library from their inception to April 2013 for both cohort and case-control studies which assessed the association between red and/or processed meat intake and gastric cancer risk. Study-specific relative risk estimates were polled...
Huyghe, Jeroen R; Fransen, Erik; Hannula, Samuli; Van Laer, Lut; Van Eyken, Els; Mäki-Torkko, Elina; Lysholm-Bernacchi, Alana; Aikio, Pekka; Stephan, Dietrich A.; Sorri, Martti; Huentelman, Matthew J; Van Camp, Guy
The Saami from Fennoscandia are believed to represent an ancient, genetically isolated population with no evidence of population expansion. Theoretical work has indicated that under this demographic scenario, extensive linkage disequilibrium (LD) is generated by genetic drift. Therefore, it has been suggested that the Saami would be particularly suited for genetic association studies, offering a substantial power advantage and allowing more economic study designs. However, no study has yet as...
Full Text Available Apolipoprotein A5 (APOA5 is associated with plasma triglyceride (TG levels, a risk factor for coronary heart disease (CHD. This study explored the association between CHD and the APOA5 rs662799 polymorphism.We collected 1,521 samples (783 CHD patients and 738 controls for this case-control study. Meta-analysis was performed using Review Manager Software and Stata Software.Significant differences were observed between CHD cases and controls at the level of both genotype (χ2 = 8.964, df = 2, P = 0.011 and allele (χ2 = 9.180, df = 1, P = 0.002, OR = 1.275, 95% CI = 1.089-1.492. A breakdown analysis by gender showed a significant association of APOA5 rs662799 with CHD in males (χ2 = 7.770, df = 1, P = 0.005; OR = 1.331, 95% CI = 1.088-1.628. An additional meta-analysis using 21378 cases and 28428 controls established that rs662799 is significantly associated with CHD (P < 0.00001.Both our case-control study and meta-analysis confirm a significant association between APOA5 rs662799 and CHD. In addition, our results suggest a male-specific association between the APOA5 rs662799 polymorphism and CHD.
Flint, Anne; Gregersen, Nikolaj T.; Gluud, Lise L.;
is unclear whether postprandial blood glucose or insulin exerts a regulatory function in short-term appetite regulation in humans. The aim of this study was to investigate, by use of meta-analysis, the role of blood glucose and insulin in short-term appetite sensation and energy intake (EI) in...... frequently in the postprandial period. Finally, an ad libitum lunch was served. Data were analysed by fixed effects study level (SL) meta-regression analysis and individual participant data (IPD) regression analysis, using STATA software. In SL analysis, postprandial insulin response was associated with...... decreased hunger in ALL, NW and OW (P<0 center dot 0 19), and with increased satiety in NW (P= 0.004) and lower subsequent El in OW (P=0 center dot 022). Multivariate IPD analysis showed similar associations, but only in NW for hunger, satiety and El (P <0.028), and in ALL for El (P=0 center dot 016). The...
Dante, Angelo; Fabris, Stefano; Palese, Alvisa
Empirical studies and conceptual frameworks presented in the extant literature offer a static imagining of academic failure. Time-to-event analysis, which captures the dynamism of individual factors, as when they determine the failure to properly tailor timely strategies, impose longitudinal studies which are still lacking within the field. The…
Paternoster, Lavinia; Standl, Marie; Chen, Chih-Mei;
population-based cohorts and then examined the ten most strongly associated new susceptibility loci in an additional 5,419 affected individuals and 19,833 controls from 14 studies. Three SNPs reached genome-wide significance in the discovery and replication cohorts combined, including rs479844 upstream of...
Reiling, Erwin; van Vliet-Ostaptchouk, Jana V.; van't Riet, Esther; van Haeften, Timon W.; Arp, Pascal A.; Hansen, Torben; Kremer, Dennis; Groenewoud, Marlous J.; van Hove, Els C.; Romijn, Johannes A.; Smit, Jan W. A.; Nijpels, Giel; Heine, Robert J.; Uitterlinden, Andre G.; Pedersen, Oluf; Slagboom, P. Eline; Maassen, Johannes A.; Hofker, Marten H.; 't Hart, Leen M.; Dekker, Jacqueline M.
Mitochondria play an important role in many processes, like glucose metabolism, fatty acid oxidation and ATP synthesis. In this study, we aimed to identify association of common polymorphisms in nuclear-encoded genes involved in mitochondrial protein synthesis and biogenesis with type II diabetes me
通过对CNKI中以情报分析和思维为主题的文献进行关键词频次和关联等的分析，发现《情报杂志》是此类文献的核心收录期刊和心理学与情报分析思维关联的内容。通过对文献和案例梳理，探讨了情报分析思维的类型和特点，将情报分析思维的基本结构归结为认知、突破、元认知、逻辑假设和评估。%Based on literature keywords frequency and correlation analysis of intelligence analysis and thinking themes in CNKI, Journal of Intelligence is found to be the core periodicals of this kind of literature, and has the associated contents of psychology and intelligence anal-ysis thinking. Through reviewing the literature and cases related, the types and characteristics of intelligence analysis thinking are dis-cussed;the basic structure of intelligence analysis thinking is summarized as cognition, breakthrough, metacognition, logical assumptions and evaluation.
Reiling, Erwin; Van Vliet-Ostaptchouk, Jana V.; van't Riet, Esther; van Haeften, Timon W; Arp, Pascal A; Hansen, Torben; Kremer, Dennis; Groenewoud, Marlous J.; van Hove, Els C.; Romijn, Johannes A.; Smit, Jan W. A.; Nijpels, Giel; Heine, Robert J.; Uitterlinden, André G.; Pedersen, Oluf
Mitochondria play an important role in many processes, like glucose metabolism, fatty acid oxidation and ATP synthesis. In this study, we aimed to identify association of common polymorphisms in nuclear-encoded genes involved in mitochondrial protein synthesis and biogenesis with type II diabetes mellitus (T2DM) using a two-stage design. In the first stage, we analyzed 62 tagging single nucleotide polymorphisms (SNPs) in the Hoorn study (n=999 participants) covering all common variation in 13...
Jane Fortson; Peter Z. Schochet
Conducted in 1993, the National Job Corps Study (NJCS) found Job Corps improved education and training outcomes, reduced criminal activity, and improved earnings and employment outcomes. However, impacts on key outcomes were not associated with overall center performance measures. This study analyzed the relationship between unadjusted and regression-adjusted Job Corps performance measures and center-level impact estimates from the NJCS and found the adjusted performance ratings were uncorrel...
Nair, Anup K; Muller, Yunhua Li; McLean, Nellie A.; Abdussamad, Maryam; Piaggi, Paolo; Kobes, Sayuko; Weil, E. Jennifer; Jeffrey M Curtis; Nelson, Robert G.; Knowler, William C.; Hanson, Robert L.; Baier, Leslie J.
Aim/hypothesis A recent genome-wide trans-ancestry meta-analysis identified seven new loci associated with type 2 diabetes. We assessed the replication of the seven lead single nucleotide polymorphisms (SNPs) and evaluated these loci for additional signals in American Indians. Methods Seven SNPs were genotyped in 7,710 individuals from a longitudinally studied American Indian population, and associations with type 2 diabetes, BMI and related phenotypes were assessed. Previous genome-wide asso...
Lurie, Galina; Wilkens, Lynne R; Thompson, Pamela J; Carney, Michael E; Palmieri, Rachel T; Pharoah, Paul D P; Song, Honglin; Hogdall, Estrid; Kjaer, Susanne Kruger; DiCioccio, Richard A; McGuire, Valerie; Whittemore, Alice S; Gayther, Simon A; Gentry-Maharaj, Aleksandra; Menon, Usha; Ramus, Susan J; Goodman, Marc T
The association of invasive ovarian carcinoma risk with the functional polymorphism rs2228570 (aka rs10735810; FokI polymorphism) in the vitamin D receptor (VDR) gene was examined in 1820 white non-Hispanic cases and 3479 controls in a pooled analysis of five population-based case-control studies...... analysis provides further evidence that the VDR rs2228570 polymorphism might influence ovarian cancer susceptibility....
Zhonghao Zhang; Rui Xiao; Ashton Shortridge; Jiaping Wu
Understanding the spatial point pattern of human settlements and their geographical associations are important for understanding the drivers of land use and land cover change and the relationship between environmental and ecological processes on one hand and cultures and lifestyles on the other. In this study, a Geographic Information System (GIS) approach, Ripley’s K function and Monte Carlo simulation were used to investigate human settlement point patterns. Remotely sensed tools and regres...
Yiping Li; Xianli Li; Li Shi; Man Yang; Ying Yang; Wenyu Tao; Lei Shi; Yuxin Xiong; Ying Zhang; Yufeng Yao
Recently, many studies have reported that the SNP+45(T>G) and SNP+276(G>T) polymorphisms in the adiponectin gene are associated with type 2 diabetes (T2DM) in the Chinese Han population. However, the previous studies yielded many conflicting results. Thus, a meta-analysis of the association of the adiponectin gene with T2DM in the Chinese Han population is required. In the current study, we first determined the distribution of the adiponectin SNP+276 polymorphism in T2DM and nondiabetes (NDM)...
Maria Cristina Antunes Willemann
Full Text Available Introduction: In Brazil, hantavirus cardiopulmonary syndrome (HCPS has a high lethality rate that varies by region. This study aimed to identify the risk factors associated with fatal hantavirosis. Methods: This study was a case-control study that included all laboratory confirmed cases of hantavirosis. The cases were stratified by the different Brazilian regions using data from the Notifiable Diseases Information System. “Cases” were patients who progressed to death, whereas “controls” were patients who were cured. The odds ratio (OR and the adjusted OR were calculated. Results: Overall, 158 cases and 281 controls were included in this study. In the Midwest region, the cases were 60% less likely to present with flank pain, and the time between the beginning of symptoms and death was shorter than the time between the beginning of symptoms and a cure. In the Southeast region, the cases were 60% less likely to present with thrombocytopenia or reside in rural areas compared to those who progressed to a cure. Additionally, the cases sought medical assistance, notification and investigation more quickly than the controls. In the Southern region, the cases that died were 70% less likely to be male compared to the controls. Conclusions: HCPS manifests with nonspecific symptoms, and there are few published studies related to the condition, so determining a patient's therapeutic strategy is difficult. This study presents findings from different Brazilian regions and highlights the need for further investigations to improve comprehension about regional risk factors associated with hantavirosis and to reduce morbimortality.
LIAN, JIANGFANG; FANG, PEILIANG; DAI, DONGJUN; BA, YANNA; YANG, XI; HUANG, XIAOYAN; LI, JUNXIN; CHEN, XIAOLIANG; GUO, JIAN; GUAN, FENG; PENG, PING; ZHAO, RUOCHI; ZHANG, SHANGSHI; GAO, FANG; TANG, LINLIN; ZHANG, CHENG; JI, HUIHUI; HONG, QINGXIAO; YE, HUADAN; XU, LIMIN; ZHONG, QILONG; LIU, PANPAN; ZHOU, JIANQING; DUAN, SHIWEI
Coronary artery disease (CAD) has become the main cause of mortality worldwide. Lectin galactoside-binding soluble-2 (LGALS2) is involved in the cytokine lymphotoxin-α (LTA) cascade that may influence the progress of CAD. The aim of the present study was to assess the association between the LGALS2 3279C>T (rs7291467) polymorphism and CAD. A total of 562 cases and 572 controls were recruited to examine the association. A systematic meta-analysis was performed to evaluate the contribution of LGALS2 3279C>T polymorphism to the risk of CAD among 12,093 cases and 11,020 controls. There was no significant association found in the present case-control study. However, the meta-analysis showed that LGALS2 3279C>T played a protective role in CAD [P=0.008, odds ratio (OR), 0.90; 95% confidence interval (95% CI), 0.82–0.97] and particularly in the Asian population (P=0.006; OR, 0.82; 95% CI, 0.71–0.94). The present case-control study did not find a significant association between LGALS2 3279C>T and CAD in the Eastern Han Chinese population. However, the meta-analysis indicated that LGALS2 3279C>T played a protective role in CAD, suggesting an ethnic difference in the association of the locus with CAD. PMID:25279163
Chen, C; Zhang, X
Endoplasmic reticulum aminopeptidase 1 (ERAP1) has been confirmed to be associated with ankylosing spondylitis (AS) in Caucasian. However, whether they are associated with AS in East Asian population remains unidentified. We investigated this relationship by a new Chinese case-control study and a meta-analysis of published series. 368 cases and 460 controls were recruited in the Chinese case-control study. Genotyping was completed using the chip-based matrix-assisted laser desorption ionization time-of-flight mass spectrometry. Allelic associations were analysed using contingency tables. In the meta-analysis, up to 2748 cases and 2774 controls from seven different studies and the new Chinese study were combined using Review Manager software version 5.1.1. Mantel-Haenszel or Inverse Variance test was used to calculate fixed or random-effects pooled ORs. In the new Chinese study, strong association with AS was observed for marker rs10050860, rs27434 and rs1065407 at P value of ERAP1 variants are associated with AS in East Asian population, indicating a common pathogenic mechanism for AS in East Asians and Caucasians. PMID:25817437
Rao, Ping; Wang, Hao; Fang, Honghong; Gao, Qing; Zhang, Jie; Song, Manshu; Zhou, Yong; Wang, Youxin; Wang, Wei
Background: Genome-wide association studies (GWAS) found that IGF2BP2 rs4402960 and rs1470579 polymorphisms were associated with type 2 diabetes mellitus (T2DM) risk. Many studies have replicated this association, but yielded inconsistent results. Materials and Methods: A case-control study consisting of 461 T2DM patients and 434 health controls was conducted to detect the genetic susceptibility of IGF2BP2 in a northern Han Chinese population. A meta-analysis was to evaluate the association more precisely in Asians. Results: In the case-control study, the carriers of TT genotype at rs4402960 had a higher T2DM risk than the G carriers (TG + GG) (adjusted odd ratio (AOR) = 1.962, 95% confidence interval (95% CI) = 1.065–3.612, p = 0.031]; CC carriers at rs1470579 were more susceptible to T2DM than A carriers (CA + AA) (AOR = 2.014, 95% CI = 1.114–3.642, p = 0.021). The meta-analysis containing 36 studies demonstrated that the two polymorphisms were associated with T2DM under the allele comparison, genetic models of dominant and recessive in Asians (p Asian populations. PMID:27294943
Thyssen, Jacob Pontoppidan; Johansen, Jeanne Duus; Carlsen, Berit Christina;
status by using cross-sectional general population questionnaire data. Also, to perform a meta-analysis including published studies that investigated the relation between filaggrin gene mutations R501X and 2282del4, respectively, and psoriasis vulgaris. Methods Between June 2006 and May 2008, a cross...... with the R501X and 2282del4 filaggrin null genotypes in a general population study and in a meta-analysis on published studies....... uninvolved skin. So far five relatively small patient-based case-control studies have rejected a possible association between psoriasis and the two most prevalent filaggrin null mutations, 2282del4 and R501X. Objectives To reinvestigate a possible association between psoriasis and filaggrin null mutation...
Verschuren, Jeffrey J.W.; Trompet, Stella; Sampietro, M. Lourdes; Heijmans, Bastiaan T; Koch, Werner; Kastrati, Adnan; Houwing-Duistermaat, Jeanine J; Slagboom, P Eline; Quax, Paul H. A.; Jukema, J. Wouter
Background Coronary restenosis after percutaneous coronary intervention (PCI) still remains a significant limitation of the procedure. The causative mechanisms of restenosis have not yet been fully identified. The goal of the current study was to perform gene-set analysis of biological pathways related to inflammation, proliferation, vascular function and transcriptional regulation on coronary restenosis to identify novel genes and pathways related to this condition. Methods The GENetic DEter...
Zhu, Yifei; Yang, Haiqing; Diao, Zengyan; Li, Yi; Yan, Chuanzhu
IL-10 expression limits inflammation and restricts the size of CNS damage from stroke. In this study, we examined the correlation between cerebral infarction (CI) and serum levels of interleukin-10 (IL-10) using a combination of case-control study and meta-analysis of published data, with an aim of understanding the relevance of serum IL-10 levels to CI development. This study enrolled a total of 169 CI patients admitted to the Second Hospital of Hebei Medical University between May 2011 and November 2014. During the same period, a group of 145 individuals were recruited at the same hospital as healthy controls after thorough physical examination. Serum IL-10 levels were measured by enzyme-linked immunosorbent assay (ELISA). SPSS 19.0 (IBM, 2010, Chicago, IL, USA) and Comprehensive Meta-Analysis 2.0 (CMA 2.0) software were used for data analysis. Serum levels of IL-10 (pg/mL) were significantly lower in CI patients when compared to healthy controls (15.36 ± 3.21 vs. 21.64 ± 5.17, t = 13.12, P 0.05). Logistic regression analysis indicated that, with the exception of triglyceride (TG) and uric acid (UA) levels (both P > 0.05), the other seven parameters, including fasting blood glucose (FPG), total cholesterol, low-density lipoprotein (LDL), high-density lipoprotein (HDL), creatinine (Cr), systolic blood pressure (SBP), and diastolic blood pressure (DBP), strongly correlated with CI development (all P relationship in Asians (SMD = 2.522, 95 % CI 0.468~4.576, P = 0.016) but not in Caucasians (P > 0.05). Our study provided convincing evidence that the patients with CI exhibit consistently reduced serum levels of IL-10, and IL-10 may be a major player in the development and progression of CI. PMID:26253723
Full Text Available OBJECTIVE: Cyclooxygenase-2 (COX-2 is an inducible enzyme converting arachidonic acid to prostaglandins and playing important roles in inflammatory diseases as well as tumor development. Previous studies investigating the association between COX-2 polymorphisms and colorectal cancer (CRC risk reported conflicting results. We performed a meta-analysis of all available studies to explore this association. METHODS: All studies published up to October 2013 on the association between COX-2 polymorphisms and CRC risk were identified by searching electronic databases PubMed, EMBASE, and Cochrane library. The association between COX-2 polymorphisms and CRC risk was assessed by odds ratios (ORs together with their 95% confidence intervals (CIs. RESULTS: Ten studies with 6,774 cases and 9,772 controls were included for -1195A>G polymorphism, 13 studies including 6,807 cases and 10,052 controls were available for -765G>C polymorphism, and 8 studies containing 5,121 cases and 7,487 controls were included for 8473T>C polymorphism. With respect to -765G>C polymorphism, we did not find a significant association with CRC risk when all eligible studies were pooled into the meta-analysis. However, in subgroup analyses by ethnicity and cancer location, with a Bonferroni corrected alpha of 0.05/2, statistical significant increased CRC risk was found in the Asian populations (dominant model CC+CG vs. GG: OR = 1.399, 95%CI: 1.113-1.760, P = 0.004 and rectum cancer patients (CC vs. GG: OR = 2.270, 95%CI: 1.295-3.980, P = 0.004; Recessive model CC vs. CG+GG: OR = 2.269, 95%CI: 1.297-3.970, P = 0.004. In subgroup analysis according to source of control, no significant association was detected. With respect to -1195A>G and 8473T>C polymorphisms, no significant association with CRC risk was demonstrated in the overall and subgroup analyses. CONCLUSIONS: The present meta-analysis suggests that the COX-2 -765G>C polymorphism may be a risk factor for
Ellinghaus, David; Ellinghaus, Eva; Nair, Rajan P; Stuart, Philip E; Esko, Tõnu; Metspalu, Andres; Debrus, Sophie; Raelson, John V; Tejasvi, Trilokraj; Belouchi, Majid; West, Sarah L; Barker, Jonathan N; Kõks, Sulev; Kingo, Külli; Balschun, Tobias; Palmieri, Orazio; Annese, Vito; Gieger, Christian; Wichmann, H Erich; Kabesch, Michael; Trembath, Richard C; Mathew, Christopher G; Abecasis, Gonçalo R; Weidinger, Stephan; Nikolaus, Susanna; Schreiber, Stefan; Elder, James T; Weichenthal, Michael; Nothnagel, Michael; Franke, Andre
Psoriasis (PS) and Crohn disease (CD) have been shown to be epidemiologically, pathologically, and therapeutically connected, but little is known about their shared genetic causes. We performed meta-analyses of five published genome-wide association studies on PS (2,529 cases and 4,955 controls) and CD (2,142 cases and 5,505 controls), followed up 20 loci that showed strongest evidence for shared disease association and, furthermore, tested cross-disease associations for previously reported PS and CD risk alleles in additional 6,115 PS cases, 4,073 CD cases, and 10,100 controls. We identified seven susceptibility loci outside the human leukocyte antigen region (9p24 near JAK2, 10q22 at ZMIZ1, 11q13 near PRDX5, 16p13 near SOCS1, 17q21 at STAT3, 19p13 near FUT2, and 22q11 at YDJC) shared between PS and CD with genome-wide significance (p diseases and enlarge the map of shared genetic risk loci. PMID:22482804
Ibironke Olofin; Christine M McDonald; Majid Ezzati; Seth Flaxman; Black, Robert E; Wafaie W Fawzi; Caulfield, Laura E.; Goodarz Danaei
BACKGROUND: Child undernutrition affects millions of children globally. We investigated associations between suboptimal growth and mortality by pooling large studies. METHODS: Pooled analysis involving children 1 week to 59 months old in 10 prospective studies in Africa, Asia and South America. Utilizing most recent measurements, we calculated weight-for-age, height/length-for-age and weight-for-height/length Z scores, applying 2006 WHO Standards and the 1977 NCHS/WHO Reference. We estimated ...
Shen, Chongxing; Huang, Ying; Yi, Shanhong; Fang, Zhenqiang; Li, Longkun
Background Several observational studies suggested that vitamin E intake is related to the risk of kidney cancer; however, the results of published studies are inconsistent. Material/Methods A meta-analysis was performed to assess the relationship between vitamin E intake and the risk of kidney cancer by searching PubMed and Medline through August 2015. We computed pooled relative risks (RR) and 95%CI of kidney cancer for the highest versus lowest level of vitamin E intake. Results A total of...
Full Text Available BACKGROUND: The genome-wide single-nucleotide polymorphisms (SNPs profiles can be used as diagnostic markers for human cancers. The associations between mitogen-activated protein kinase kinase kinase 1 (MAP3K1 SNPs rs889312 A>C, rs16886165 T>G and breast cancer risk have been widely evaluated, but the results were inconsistent. To derive a conclusive assessment of the associations, we performed a meta-analysis by combining data from all eligible case-control studies up to date. METHODS: By searching PubMed, ISI web of knowledge, Embase and Cochrane databases, we identified all eligible studies published before September 2013. Odds ratios (ORs with 95% confidence intervals (CIs were used to assess the strength of associations in fixed-effect or random-effect model. False-positive report probability (FPRP was calculated to confirm the significance of the results. RESULTS: A total of 59670 cases in 20 case-control studies were included in this meta-analysis. Significant associations with breast cancer risk were observed for SNPs rs889312 and rs16886165 polymorphisms with a per-allele OR of 1.11 (95% CI: 1.09-1.13 and 1.14 (95% CI: 1.09-1.20 respectively. For rs889312, in subgroup analysis by ethnicity, significant associations were identified in Europeans and Asians, but not in Africans. When stratified by estrogen receptor (ER expression status, rs889312 was associated with both ER-positive and ER-negative breast cancers. Results from the FPRP analyses were consistent with and supportive to the above results. CONCLUSIONS: The present meta-analysis suggests that rs889312-C allele and rs16886165-G allele might be risk factors for breast cancer, especially in Europeans and Asians.
Wang, Shudong; Chen, Wenan; Chen, Xiangning; Hu, Fengjiao; Archer, Kellie J; Liu, Hb Nianjun; Sun, Shumei; Gao, Guimin
Meta-analysis of genome-wide association studies (GWAS) has become a useful tool to identify genetic variants that are associated with complex human diseases. To control spurious associations between genetic variants and disease that are caused by population stratification, double genomic control (GC) correction for population stratification in meta-analysis for GWAS has been implemented in the software METAL and GWAMA and is widely used by investigators. In this research, we conducted extensive simulation studies to evaluate the double GC correction method in meta-analysis and compared the performance of the double GC correction with that of a principal components analysis (PCA) correction method in meta-analysis. Results show that when the data consist of population stratification, using double GC correction method can have inflated type I error rates at a marker with significant allele frequency differentiation in the subpopulations (such as caused by recent strong selection). On the other hand, the PCA correction method can control type I error rates well and has much higher power in meta-analysis compared to the double GC correction method, even though in the situation that the casual marker does not have significant allele frequency difference between the subpopulations. We applied the double GC correction and PCA correction to meta-analysis of GWAS for two real datasets from the Atherosclerosis Risk in Communities (ARIC) project and the Multi-Ethnic Study of Atherosclerosis (MESA) project. The results also suggest that PCA correction is more effective than the double GC correction in meta-analysis. PMID:23269928
Full Text Available BACKGROUND: Methylenetetrahydrofolate reductase (MTHFR is an important enzyme of folate and methionine metabolism, making it crucial for DNA synthesis and methylation. The objective of this study was to analyze MTHFR gene 677C>T polymorphism in infertile male individuals from North India, followed by a meta-analysis on our data and published studies. METHODOLOGY/PRINCIPAL FINDINGS: We undertook genotyping on a total of 837 individuals including well characterized infertile (N = 522 and confirmed fertile (N = 315 individuals. The SNP was typed by direct DNA sequencing. Chi square test was done for statistical analysis. Published studies were searched using appropriate keywords. Source of data collection for meta-analysis included 'Pubmed', 'Ovid' and 'Google Scholar'. Those studies analyzing 677C>T polymorphism in male infertility and presenting all relevant data were included in meta-analysis. The genotype data for infertile subjects and fertile controls was extracted from each study. Chi square test was done to obtain odds ratio (OR and p-value. Meta-analysis was performed using Comprehensive Meta-analysis software (Version 2. The frequency of mutant (T allele (p = 0.0025 and genotypes (CT+TT (p = 0.0187 was significantly higher in infertile individuals in comparison to fertile controls in our case-control study. The overall summary estimate (OR for allele and genotype meta-analysis were 1.304 (p = 0.000, 1.310 (p = 0.000, respectively, establishing significant association of 677C>T polymorphism with male infertility. CONCLUSIONS/SIGNIFICANCE: 677C>T substitution associated strongly with male infertility in Indian population. Allele and genotype meta-analysis also supported its strong correlation with male infertility, thus establishing it as a risk factor.
Sun, Xun-Sha; Wen, Jun; Li, Jiao-Xing; Lai, Rong; Wang, Yu-Fang; Liu, Hui-Jiao; Sheng, Wen-Li
A number of studies assessed the association of ring finger protein 213 (RNF213) gene polymorphisms with moyamoya disease (MMD), but the results were not entirely consistent. This meta-analysis was performed to explore the relationship between RNF213 polymorphisms and moyamoya disease in Asian population. A systematic search from the PubMed, MEDLINE, EMBASE, ISI web of science, CNKI, China CBM and WANFANG DATA databases was conducted to retrieve published studies until March 2015. Statistical analyses were performed using the STATA12.0 software. Fixed or random effects model, subgroup analysis, sensitivity analysis, and publication bias were used to improve the comprehensive analysis. Eight papers including 904 MMD patients and 2258 controls were recruited in the meta-analysis. rs112735431 was closely associated with the risk of MMD among Asian population in all genetic models (dominant model: OR 103.39, 95 % CI 52.25-204.55, P = 1.69e-40; recessive model: OR 16.45, 95 % CI 6.00-45.10, P = 5.33e-08; additive model: OR 61.49, 95 % CI 22.07-171.33, P = 3.32e-15), especially in the Japanese population. Subgroup analysis revealed highly statistically significant higher risk in the patients with family histories. Although another polymorphism rs148731719 showed no significant association with the MMD, rs138130613 was found to be related to the higher risk in Chinese population (dominant model: OR 8.34, 95 % CI 1.72-40.47, P = 0.008). Our meta-analysis strengthens RNF213 rs112735431 is closely associated with the increased risk of MMD in Japanese, and the screening combined with rs112735431 and rs138130613may improve the detection rate for MMD in China. PMID:26847828
Gong, Ai-Min; Li, Xin-Yuan; Xie, Yi-Qiang; Jia, Zhan-Dong; Li, Yuan-Xin; Zou, Yong-Yan; Xu, Chang-Qing; Wang, Zhen-Yu
Purpose The association between CD14 -159C/T polymorphism and the susceptibility to gastric cancer (GC) has been reported. However, the results were inconclusive. In the present study, a case–control study and a meta-analysis were performed to assess the possible association between -159C/T in the CD14 gene and GC risk. Patients and methods Relevant studies were searched in several databases including PubMed, Web of Science, EMBASE, Chinese National Knowledge Infrastructure database, and Wanfang database (last search was performed on December 30, 2015). In addition, a case–control study involving 164 GC cases and 169 controls was also performed in the analysis. Statistical analysis was performed by the software Revman5.3. Results A total of ten published studies and the present case–control study involving 2,844 GC and 3,983 controls were included for the meta-analysis. The analysis result indicated that the T allele of CD14 -159C/T polymorphism did not confer risk for GC (in our study: [P=0.93]; in the meta-analysis: T vs 2N odds ratio =1.28 and 95% confidence interval (CI) =0.95–1.24, [P=0.24]). However, we found a significant association in the recessive model (in our study: TT vs TC+CC [P=0.04]; in the meta-analysis: TT vs TC+CC odds ratio =1.12 and 95% CI =1.01–1.26, [P=0.04]). Furthermore, a subgroup analysis by ethnicity showed that TT genotype was significantly associated with GC in Asian (odds ratio =1.17 and 95% CI =1.02–1.34, [P=0.02]) but not in Caucasian. Conclusion Our results highlight the TT genotype of CD14 -159C/T as a genetic susceptibility factor for gastric cancer, particularly, in Asians and population-based controls. PMID:27486336
Iris M Heid
Full Text Available The INSIG2 rs7566605 polymorphism was identified for obesity (BMI> or =30 kg/m(2 in one of the first genome-wide association studies, but replications were inconsistent. We collected statistics from 34 studies (n = 74,345, including general population (GP studies, population-based studies with subjects selected for conditions related to a better health status ('healthy population', HP, and obesity studies (OB. We tested five hypotheses to explore potential sources of heterogeneity. The meta-analysis of 27 studies on Caucasian adults (n = 66,213 combining the different study designs did not support overall association of the CC-genotype with obesity, yielding an odds ratio (OR of 1.05 (p-value = 0.27. The I(2 measure of 41% (p-value = 0.015 indicated between-study heterogeneity. Restricting to GP studies resulted in a declined I(2 measure of 11% (p-value = 0.33 and an OR of 1.10 (p-value = 0.015. Regarding the five hypotheses, our data showed (a some difference between GP and HP studies (p-value = 0.012 and (b an association in extreme comparisons (BMI> or =32.5, 35.0, 37.5, 40.0 kg/m(2 versus BMI<25 kg/m(2 yielding ORs of 1.16, 1.18, 1.22, or 1.27 (p-values 0.001 to 0.003, which was also underscored by significantly increased CC-genotype frequencies across BMI categories (10.4% to 12.5%, p-value for trend = 0.0002. We did not find evidence for differential ORs (c among studies with higher than average obesity prevalence compared to lower, (d among studies with BMI assessment after the year 2000 compared to those before, or (e among studies from older populations compared to younger. Analysis of non-Caucasian adults (n = 4889 or children (n = 3243 yielded ORs of 1.01 (p-value = 0.94 or 1.15 (p-value = 0.22, respectively. There was no evidence for overall association of the rs7566605 polymorphism with obesity. Our data suggested an association with extreme degrees of obesity, and consequently heterogeneous effects from different study designs may
Zhao, Cheng; Yan, Weiqian; Zu, Xiongbing; Chen, Minfeng; Liu, Longfei; Zhao, Shushan; Liu, Hong; Hu, Xia; Luo, Renna; Xia, Yang; Qi, Lin
To date, several studies have been conducted to assess the association between endothelial nitric oxide synthase (eNOS) gene 894G > T polymorphism and prostate cancer (PCa) risk, but the results are conflicting. To derive a more precise estimation of the relationship between 894G > T polymorphism and PCa risk, the present meta-analysis was performed. A total of eight case-control studies were included in this meta-analysis. The pooled odds ratio (OR) with 95 % confidence interval (CI) was calculated to evaluate the associations. Our results suggested that 894G > T polymorphism is associated with PCa risk under codominant (GT vs. GG) (OR = 1.11, 95 % CI = 1.01-1.22, P = 0.04) and overdominant (GT vs. GG + TT) (OR = 1.12, 95 % CI = 1.02-1.23, P = 0.02) models in the overall population, while there are no associations observed under dominant (GT + TT vs. GG), recessive (TT vs. GG + GT), and allelic (T vs. G) models. Moreover, when the eligible studies were stratified according to sources of control, significant association between 894G > T polymorphism and susceptibility of PCa was also identified under codominant (OR = 1.12, 95 % CI = 1.01-1.24, P = 0.03) and overdominant (OR = 1.13, 95 % CI = 1.02-1.25, P = 0.02) models when using healthy individuals as control. However, there are no significant associations found under any genetic models when using BPH patients as control group. In conclusion, the present meta-analysis suggested that the eNOS gene 894G > T polymorphism might be a risk factor in the onset of PCa. PMID:25374059
Ncube, Collette N; Enquobahrie, Daniel A; Albert, Steven M; Herrick, Amy L; Burke, Jessica G
Findings from studies investigating associations of residential environment with poor birth outcomes have been inconsistent. In a systematic review and meta-analysis, we examined associations of neighborhood disadvantage with preterm birth (PTB) and low birthweight (LBW), and explored differences in relationships among racial groups. Two reviewers searched English language articles in electronic databases of published literature. We used random effects logistic regression to calculate odds ratios (and 95% confidence intervals) relating neighborhood disadvantage with PTB and LBW. Neighborhood disadvantage, most disadvantaged versus least disadvantaged neighborhoods, was defined by researchers of included studies, and comprised of poverty, deprivation, racial residential segregation or racial composition, and crime. We identified 1314 citations in the systematic review. The meta-analyses included 7 PTB and 14 LBW cross-sectional studies conducted in the United States (U.S.). Overall, we found 27% [95%CI: 1.16, 1.39] and 11% [95%CI: 1.07, 1.14] higher risk for PTB and LBW among the most disadvantaged compared with least disadvantaged neighborhoods. No statistically significant association was found in meta-analyses of studies that adjusted for race. In race-stratified meta-analyses models, we found 48% [95%CI: 1.25, 1.75] and 61% [95%CI: 1.30, 2.00] higher odds of PTB and LBW among non-Hispanic white mothers living in most disadvantaged neighborhoods compared with those living in least disadvantaged neighborhoods. Similar, but less strong, associations were observed for PTB (15% [95%CI: 1.09, 1.21]) and LBW (17% [95%CI: 1.10, 1.25]) among non-Hispanic black mothers. Neighborhood disadvantage is associated with PTB and LBW, however, associations may differ by race. Future studies evaluating causal mechanisms underlying the associations, and racial/ethnic differences in associations, are warranted. PMID:26900890
Chai, Fan; Liang, Yan; Li CHEN; Zhang, Fan; Jiang, Jun
Background Studies have shown that gene and environmental factors, such as BRCA1/2 mutations, ionized radiation, and chemical carcinogens, are related with breast cancer. X-ray repair cross-complementing group 3 (XRCC3) is involved in homologous repair of double DNA breaks. It was reported that Thr241Met single-nucleotide polymorphism (SNP) in XRCC3 is associated with increased risk of breast cancer. However, the finding remains controversial. The current meta-analysis aims to determine wheth...
Full Text Available BACKGROUND: Three non-synonymous single nucleotide polymorphisms (Q223R, K109R and K656N of the leptin receptor gene (LEPR have been tested for association with obesity-related outcomes in multiple studies, showing inconclusive results. We performed a systematic review and meta-analysis on the association of the three LEPR variants with BMI. In addition, we analysed 15 SNPs within the LEPR gene in the CoLaus study, assessing the interaction of the variants with sex. METHODOLOGY/PRINCIPAL FINDINGS: We searched electronic databases, including population-based studies that investigated the association between LEPR variants Q223R, K109R and K656N and obesity- related phenotypes in healthy, unrelated subjects. We furthermore performed meta-analyses of the genotype and allele frequencies in case-control studies. Results were stratified by SNP and by potential effect modifiers. CoLaus data were analysed by logistic and linear regressions and tested for interaction with sex. The meta-analysis of published data did not show an overall association between any of the tested LEPR variants and overweight. However, the choice of a BMI cut-off value to distinguish cases from controls was crucial to explain heterogeneity in Q223R. Differences in allele frequencies across ethnic groups are compatible with natural selection of derived alleles in Q223R and K109R and of the ancient allele in K656N in Asians. In CoLaus, the rs10128072, rs3790438 and rs3790437 variants showed interaction with sex for their association with overweight, waist circumference and fat mass in linear regressions. CONCLUSIONS: Our systematic review and analysis of primary data from the CoLaus study did not show an overall association between LEPR SNPs and overweight. Most studies were underpowered to detect small effect sizes. A potential effect modification by sex, population stratification, as well as the role of natural selection should be addressed in future genetic association studies.
Full Text Available Abstract Background The association between MHTFR Ala222Val polymorphism and breast cancer (BC risk are inconclusive. To derive a more precise estimation of the relationship, a systematic review and meta-analysis was performed. Methods A comprehensive search was conducted through researching MEDLINE, EMBASE, PubMed, Web of Science, Chinese Biomedical Literature database (CBM and China National Knowledge Infrastructure (CNKI databases before August 2012. Crude odds ratios (ORs with 95% confidence intervals (CIs were calculated to estimate the strength of the association. Results A total of 51 studies including 20,907 cases and 23,905 controls were involved in this meta-analysis. Overall, significant associations were found between MTHFR Ala222Val polymorphism and BC risk when all studies pooled into the meta-analysis (Ala/Ala vs Val/Val: OR=0.870, 95%CI=0.789–0.958,P=0.005; Ala/Val vs Val/Val: OR=0.895, 95%CI=0.821–0.976, P=0.012; dominant model: OR=0.882, 95%CI=0.808–0.963, P=0.005; and recessive model: OR = 0.944, 95%CI=0.898–0.993, P=0.026; Ala allele vs Val allele: OR = 0.935, 95%CI=0.887–0.986, P=0.013. In the subgroup analysis by ethnicity, the same results were found in Asian populations, while no significant associations were found for all comparison models in other Ethnicity populations. Conclusion In conclusion, our meta-analysis provides the evidence that MTHFR Ala222Val gene polymorphisms contributed to the breast cancer development. Virtual slides The virtual slide(s for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1966146911851976
Abnet, Christian C.; Wang, Zhaoming; SONG, XIN; Hu, Nan; Zhou, Fu-You; Freedman, Neal D.; Li, Xue-Min; Yu, Kai; Shu, Xiao-Ou; Yuan, Jian-Min; Zheng, Wei; Dawsey, Sanford M.; Liao, Linda M.; Lee, Maxwell P.; DING, Ti
Genome-wide association studies have identified susceptibility loci for esophageal squamous cell carcinoma (ESCC). We conducted a meta-analysis of all single-nucleotide polymorphisms (SNPs) that showed nominally significant P-values in two previously published genome-wide scans that included a total of 2961 ESCC cases and 3400 controls. The meta-analysis revealed five SNPs at 2q33 with P< 5 × 10−8, and the strongest signal was rs13016963, with a combined odds ratio (95% confidence interval) o...
Peters Stephen P
Full Text Available Abstract Genetic association studies have become an important part of our scientific landscape. This commentary discusses some basic scientific issues which should be considered when reporting and evaluating such studies including SNP Discovery, Genotyping and Haplotype Analysis; Population Size, Matching of Cases and Controls, and Population Stratification; Phenotype Definition and Multiple Related Phenotypes; Multiple Testing; Replication; Genome-wide Association Studies (GWAS; and the Role of Functional Studies. All of these elements are important in evaluating such studies and should be carefully considered when these studies are conceived and carried out.
Full Text Available Understanding the spatial point pattern of human settlements and their geographical associations are important for understanding the drivers of land use and land cover change and the relationship between environmental and ecological processes on one hand and cultures and lifestyles on the other. In this study, a Geographic Information System (GIS approach, Ripley’s K function and Monte Carlo simulation were used to investigate human settlement point patterns. Remotely sensed tools and regression models were employed to identify the effects of geographical determinants on settlement locations in the Wen-Tai region of eastern coastal China. Results indicated that human settlements displayed regular-random-cluster patterns from small to big scale. Most settlements located on the coastal plain presented either regular or random patterns, while those in hilly areas exhibited a clustered pattern. Moreover, clustered settlements were preferentially located at higher elevations with steeper slopes and south facing aspects than random or regular settlements. Regression showed that influences of topographic factors (elevation, slope and aspect on settlement locations were stronger across hilly regions. This study demonstrated a new approach to analyzing the spatial patterns of human settlements from a wide geographical prospective. We argue that the spatial point patterns of settlements, in addition to the characteristics of human settlements, such as area, density and shape, should be taken into consideration in the future, and land planners and decision makers should pay more attention to city planning and management. Conceptual and methodological bridges linking settlement patterns to regional and site-specific geographical characteristics will be a key to human settlement studies and planning.
Ng, Maggie C Y; Shriner, Daniel; Chen, Brian H; Li, Jiang; Chen, Wei-Min; Guo, Xiuqing; Liu, Jiankang; Bielinski, Suzette J; Yanek, Lisa R; Nalls, Michael A; Comeau, Mary E; Rasmussen-Torvik, Laura J; Jensen, Richard A; Evans, Daniel S; Sun, Yan V; An, Ping; Patel, Sanjay R; Lu, Yingchang; Long, Jirong; Armstrong, Loren L; Wagenknecht, Lynne; Yang, Lingyao; Snively, Beverly M; Palmer, Nicholette D; Mudgal, Poorva; Langefeld, Carl D; Keene, Keith L; Freedman, Barry I; Mychaleckyj, Josyf C; Nayak, Uma; Raffel, Leslie J; Goodarzi, Mark O; Chen, Y-D Ida; Taylor, Herman A; Correa, Adolfo; Sims, Mario; Couper, David; Pankow, James S; Boerwinkle, Eric; Adeyemo, Adebowale; Doumatey, Ayo; Chen, Guanjie; Mathias, Rasika A; Vaidya, Dhananjay; Singleton, Andrew B; Zonderman, Alan B; Igo, Robert P; Sedor, John R; Kabagambe, Edmond K; Siscovick, David S; McKnight, Barbara; Rice, Kenneth; Liu, Yongmei; Hsueh, Wen-Chi; Zhao, Wei; Bielak, Lawrence F; Kraja, Aldi; Province, Michael A; Bottinger, Erwin P; Gottesman, Omri; Cai, Qiuyin; Zheng, Wei; Blot, William J; Lowe, William L; Pacheco, Jennifer A; Crawford, Dana C; Grundberg, Elin; Rich, Stephen S; Hayes, M Geoffrey; Shu, Xiao-Ou; Loos, Ruth J F; Borecki, Ingrid B; Peyser, Patricia A; Cummings, Steven R; Psaty, Bruce M; Fornage, Myriam; Iyengar, Sudha K; Evans, Michele K; Becker, Diane M; Kao, W H Linda; Wilson, James G; Rotter, Jerome I; Sale, Michèle M; Liu, Simin; Rotimi, Charles N; Bowden, Donald W
Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide association studies (GWAS) in individuals of European ancestry. In order to investigate the genetic architecture of T2D in African Americans, the MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium examined 17 GWAS on T2D comprising 8,284 cases and 15,543 controls in African Americans in stage 1 analysis. Single nucleotide polymorphisms (SNPs) association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. Meta-analysis of approximately 2.6 million genotyped and imputed SNPs in all studies was conducted using an inverse variance-weighted fixed effect model. Replications were performed to follow up 21 loci in up to 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry. We identified three known loci (TCF7L2, HMGA2 and KCNQ1) and two novel loci (HLA-B and INS-IGF2) at genome-wide significance (4.15 × 10(-94)liability scale in African Americans. Overall, this study identified two novel susceptibility loci for T2D in African Americans. A substantial number of previously reported loci are transferable to African Americans after accounting for linkage disequilibrium, enabling fine mapping of causal variants in trans-ethnic meta-analysis studies. PMID:25102180
Full Text Available PURPOSE: Previous research on the influence of the food environment on weight status has often used impersonal measures of the food environment defined for residential neighborhoods, which ignore whether people actually use the food outlets near their residence. To assess whether supermarkets are relevant contexts for interventions, the present study explored between-residential neighborhood and between-supermarket variations in body mass index (BMI and waist circumference (WC, and investigated associations between brands and characteristics of supermarkets and BMI or WC, after adjustment for individual and residential neighborhood characteristics. METHODS: Participants in the RECORD Cohort Study (Paris Region, France, 2007-2008 were surveyed on the supermarket (brand and exact location where they conducted their food shopping. Overall, 7 131 participants shopped in 1 097 different supermarkets. Cross-classified multilevel linear models were estimated for BMI and WC. RESULTS: Just 11.4% of participants shopped for food primarily within their residential neighborhood. After accounting for participants' residential neighborhood, people shopping in the same supermarket had a more comparable BMI and WC than participants shopping in different supermarkets. After adjustment for individual and residential neighborhood characteristics, participants shopping in specific supermarket brands, in hard discount supermarkets (especially if they had a low education, and in supermarkets whose catchment area comprised low educated residents had a higher BMI/WC. CONCLUSION: A public health strategy to reduce excess weight may be to intervene on specific supermarkets to change food purchasing behavior, as supermarkets are where dietary preferences are materialized into definite purchased foods.
Simmons, Sarah M; Hicks, Anne; Caird, Jeff K
A systematic review and meta-analysis of naturalistic driving studies involving estimates of safety-critical event risk associated with handheld device use while driving is described. Fifty-seven studies identified from targeted databases, journals and websites were reviewed in depth, and six were ultimately included. These six studies, published between 2006 and 2014, encompass seven sets of naturalistic driver data and describe original research that utilized naturalistic methods to assess the effects of distracting behaviors. Four studies involved non-commercial drivers of light vehicles and two studies involved commercial drivers of trucks and buses. Odds ratios quantifying safety-critical event (SCE) risk associated with talking, dialing, locating or answering, and texting or browsing were extracted. Stratified meta-analysis of pooled odds ratios was used to estimate SCE risk by distraction type; meta-regression was used to test for sources of heterogeneity. The results indicate that tasks that require drivers to take their eyes off the road, such as dialing, locating a phone and texting, increase SCE risk to a greater extent than tasks that do not require eyes off the road such as talking. Although talking on a handheld device did not increase SCE risk, further research is required to determine whether it indirectly influences SCE risk (e.g., by encouraging other cell phone activities). In addition, a number of study biases and quality issues of naturalistic driving studies are discussed. PMID:26724505
Full Text Available Xiang Ao,1,* Ying Liu,1,* Xiao-Yan Bai,1 Xinjian Qu,2 Zhaowei Xu,1 Gaolei Hu,1 Min Chen,1 Huijian Wu1,21Laboratory of Molecular Medicine & Pharmacy, School of Life Science and Biotechnology, Dalian University of Technology, Dalian, 2Laboratory of Molecular Medicine & Pharmacy, School of Life Science and Medicine, Dalian University of Technology, Panjin, Liaoning, People’s Republic of China*These authors have contributed equally to this workBackground: EHBP1 rs721048(A was first identified as a prostate cancer (PCa risk in Caucasians by genome-wide association study, but subsequent replication studies involving Caucasian and other ethnicities did not produce consistent results. The aim of this study was to obtain a more definite association between rs721048(A and PCa risk.Methods: We comprehensively searched several databases updated to September 2014, including PubMed, Web of Science, EBSCO, and Google Scholar. Two authors independently screened and reviewed the eligibility of each study. The quality of the included studies was assessed by the Newcastle–Ottawa scale. The association of rs721048(A and PCa risk was assessed by pooling odds ratios (ORs with 95% confidence intervals (CIs.Results: A total of 17 studies, including 48,135 cases and 102,543 controls, published between 2008 and 2014 were included in the meta-analysis. Overall, the pooled analysis demonstrated that rs721048(A was significantly associated with the risk of PCa under the allele model (OR=1.14, 95% CI=1.11–1.17, P=0.000. Subgroup analysis based on ethnicity revealed a significant association between rs721048(A and PCa in Caucasian (OR=1.14, 95% CI=1.11–1.16, P=0.000, African descent (OR=1.11, 95% CI=1.01–1.23, P=0.025, and Asian (OR=1.35, 95% CI=1.12–1.64, P=0.002.Conclusion: Our results provided strong evidence that rs721048(A could be a risk factor for PCa.Keywords: EHBP1, rs721048, meta-analysis, prostate cancer
Mitchell Laura E
Full Text Available Abstract Background Several platforms for the analysis of genome-wide association data are available. However, these platforms focus on the evaluation of the genotype inherited by affected (i.e. case individuals, whereas for some conditions (e.g. birth defects the genotype of the mothers of affected individuals may also contribute to risk. For such conditions, it is critical to evaluate associations with both the maternal and the inherited (i.e. case genotype. When genotype data are available for case-parent triads, a likelihood-based approach using log-linear modeling can be used to assess both the maternal and inherited genotypes. However, available software packages for log-linear analyses are not well suited to the analysis of typical genome-wide association data (e.g. including missing data. Results An integrated platform, Maternal and Inherited Analyses for Genome-wide Association Studies (MI-GWAS for log-linear analyses of maternal and inherited genetic effects in large, genome-wide datasets, is described. MI-GWAS uses SAS and LEM software in combination to appropriately format data, perform the log-linear analyses and summarize the results. This platform was evaluated using existing genome-wide data and was shown to perform accurately and relatively efficiently. Conclusions The MI-GWAS platform provides a valuable tool for the analysis of association of a phenotype or condition with maternal and inherited genotypes using genome-wide data from case-parent triads. The source code for this platform is freely available at http://www.sph.uth.tmc.edu/sbrr/mi-gwas.htm.
Heid, Iris M; Huth, Cornelia; Loos, Ruth J F;
The INSIG2 rs7566605 polymorphism was identified for obesity (BMI> or =30 kg/m(2)) in one of the first genome-wide association studies, but replications were inconsistent. We collected statistics from 34 studies (n = 74,345), including general population (GP) studies, population-based studies with...... subjects selected for conditions related to a better health status ('healthy population', HP), and obesity studies (OB). We tested five hypotheses to explore potential sources of heterogeneity. The meta-analysis of 27 studies on Caucasian adults (n = 66,213) combining the different study designs did not...... support overall association of the CC-genotype with obesity, yielding an odds ratio (OR) of 1.05 (p-value = 0.27). The I(2) measure of 41% (p-value = 0.015) indicated between-study heterogeneity. Restricting to GP studies resulted in a declined I(2) measure of 11% (p-value = 0.33) and an OR of 1.10 (p...
Larson, Nicholas B; McDonnell, Shannon; Albright, Lisa Cannon; Teerlink, Craig; Stanford, Janet; Ostrander, Elaine A; Isaacs, William B; Xu, Jianfeng; Cooney, Kathleen A; Lange, Ethan; Schleutker, Johanna; Carpten, John D; Powell, Isaac; Bailey-Wilson, Joan; Cussenot, Olivier; Cancel-Tassin, Geraldine; Giles, Graham; MacInnis, Robert; Maier, Christiane; Whittemore, Alice S; Hsieh, Chih-Lin; Wiklund, Fredrik; Catolona, William J; Foulkes, William; Mandal, Diptasri; Eeles, Rosalind; Kote-Jarai, Zsofia; Ackerman, Michael J; Olson, Timothy M; Klein, Christopher J; Thibodeau, Stephen N; Schaid, Daniel J
Rare variants (RVs) have been shown to be significant contributors to complex disease risk. By definition, these variants have very low minor allele frequencies and traditional single-marker methods for statistical analysis are underpowered for typical sequencing study sample sizes. Multimarker burden-type approaches attempt to identify aggregation of RVs across case-control status by analyzing relatively small partitions of the genome, such as genes. However, it is generally the case that the aggregative measure would be a mixture of causal and neutral variants, and these omnibus tests do not directly provide any indication of which RVs may be driving a given association. Recently, Bayesian variable selection approaches have been proposed to identify RV associations from a large set of RVs under consideration. Although these approaches have been shown to be powerful at detecting associations at the RV level, there are often computational limitations on the total quantity of RVs under consideration and compromises are necessary for large-scale application. Here, we propose a computationally efficient alternative formulation of this method using a probit regression approach specifically capable of simultaneously analyzing hundreds to thousands of RVs. We evaluate our approach to detect causal variation on simulated data and examine sensitivity and specificity in instances of high RV dimensionality as well as apply it to pathway-level RV analysis results from a prostate cancer (PC) risk case-control sequencing study. Finally, we discuss potential extensions and future directions of this work. PMID:27312771
Chen, Brian H.; Li, Jiang; Chen, Wei-Min; Guo, Xiuqing; Liu, Jiankang; Bielinski, Suzette J.; Yanek, Lisa R.; Nalls, Michael A.; Comeau, Mary E.; Rasmussen-Torvik, Laura J.; Jensen, Richard A.; Evans, Daniel S.; Sun, Yan V.; An, Ping; Patel, Sanjay R.; Lu, Yingchang; Long, Jirong; Armstrong, Loren L.; Wagenknecht, Lynne; Yang, Lingyao; Snively, Beverly M.; Palmer, Nicholette D.; Mudgal, Poorva; Langefeld, Carl D.; Keene, Keith L.; Freedman, Barry I.; Mychaleckyj, Josyf C.; Nayak, Uma; Raffel, Leslie J.; Goodarzi, Mark O.; Chen, Y-D Ida; Taylor, Herman A.; Correa, Adolfo; Sims, Mario; Couper, David; Pankow, James S.; Boerwinkle, Eric; Adeyemo, Adebowale; Doumatey, Ayo; Chen, Guanjie; Mathias, Rasika A.; Vaidya, Dhananjay; Singleton, Andrew B.; Zonderman, Alan B.; Igo, Robert P.; Sedor, John R.; Kabagambe, Edmond K.; Siscovick, David S.; McKnight, Barbara; Rice, Kenneth; Liu, Yongmei; Hsueh, Wen-Chi; Zhao, Wei; Bielak, Lawrence F.; Kraja, Aldi; Province, Michael A.; Bottinger, Erwin P.; Gottesman, Omri; Cai, Qiuyin; Zheng, Wei; Blot, William J.; Lowe, William L.; Pacheco, Jennifer A.; Crawford, Dana C.; Grundberg, Elin; Rich, Stephen S.; Hayes, M. Geoffrey; Shu, Xiao-Ou; Loos, Ruth J. F.; Borecki, Ingrid B.; Peyser, Patricia A.; Cummings, Steven R.; Psaty, Bruce M.; Fornage, Myriam; Iyengar, Sudha K.; Evans, Michele K.; Becker, Diane M.; Kao, W. H. Linda; Wilson, James G.; Rotter, Jerome I.; Sale, Michèle M.; Liu, Simin; Rotimi, Charles N.; Bowden, Donald W.
Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide association studies (GWAS) in individuals of European ancestry. In order to investigate the genetic architecture of T2D in African Americans, the MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium examined 17 GWAS on T2D comprising 8,284 cases and 15,543 controls in African Americans in stage 1 analysis. Single nucleotide polymorphisms (SNPs) association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. Meta-analysis of approximately 2.6 million genotyped and imputed SNPs in all studies was conducted using an inverse variance-weighted fixed effect model. Replications were performed to follow up 21 loci in up to 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry. We identified three known loci (TCF7L2, HMGA2 and KCNQ1) and two novel loci (HLA-B and INS-IGF2) at genome-wide significance (4.15×10−94
association (2.2×10−23 < locus-wide P<0.05). These novel and previously identified loci yielded a sibling relative risk of 1.19, explaining 17.5% of the phenotypic variance of T2D on the liability scale in African Americans. Overall, this study identified two novel susceptibility loci for T2D in African Americans. A substantial number of previously reported loci are transferable to African Americans after accounting for linkage disequilibrium, enabling fine mapping of causal variants in trans-ethnic meta-analysis studies. PMID:25102180
Maggie C Y Ng
Full Text Available Type 2 diabetes (T2D is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide association studies (GWAS in individuals of European ancestry. In order to investigate the genetic architecture of T2D in African Americans, the MEta-analysis of type 2 DIabetes in African Americans (MEDIA Consortium examined 17 GWAS on T2D comprising 8,284 cases and 15,543 controls in African Americans in stage 1 analysis. Single nucleotide polymorphisms (SNPs association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. Meta-analysis of approximately 2.6 million genotyped and imputed SNPs in all studies was conducted using an inverse variance-weighted fixed effect model. Replications were performed to follow up 21 loci in up to 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry. We identified three known loci (TCF7L2, HMGA2 and KCNQ1 and two novel loci (HLA-B and INS-IGF2 at genome-wide significance (4.15 × 10(-94
association (2.2 × 10(-23 < locus-wide P<0.05. These novel and previously identified loci yielded a sibling relative risk of 1.19, explaining 17.5% of the phenotypic variance of T2D on the liability scale in African Americans. Overall, this study identified two novel susceptibility loci for T2D in African Americans. A substantial number of previously reported loci are transferable to African Americans after accounting for linkage disequilibrium, enabling fine mapping of causal variants in trans-ethnic meta-analysis studies.
Forat-Yazdi, M; Hosseini-Biouki, F; Salehi, J; Neamatzadeh, H; Masoumi Dehshiri, R; Sadri, Z; Ghanizadeh, F; Sheikhpour, R; Zare-Zardini, H
Background Evidence indicates RFC1 G80A polymorphism as a risk factor for a number of cancers. Increasing studies have been conducted on the association of RFC1 G80A polymorphism with acute lymphoblastic leukemia (ALL) risk. However, the results were controversial. The aim of the present study was to derive a more precise estimation of the relationship. Materials and Method PubMed, Embase, Web of Science, Cochrane database, and Google Scholar were searched to get the genetic association studies between RFC1 G80A polymorphism and ALL. All eligible studies for the period up to February 2016 were identified. Subgroup analyses regarding ethnicity were also implemented. All statistical analyses were done with CMA 2.0. Results A total of ten studies comprising of 2,168 ALL cases and 2,693 healthy controls were included in this meta-analysis. Overall, no significant association was detected for allelic model (OR = 1.029, 95 % CI 0.754- 1.405, P=0.000), Dominant model (OR = 1.619, 95 % CI 0.847-3.094, P=0.145), recessive model (OR = 1.169, 95 % CI 10.764-1.790, P=0.429), and homozygote model (OR = 1.288, 95 % CI 0.928-1.788, P=0.130). However, there was an obvious association under the heterozygote model (OR = 1.368, 95 % CI 1.056- 1.772, P=0.018). Also, in the stratified analysis by ethnicity, no significant association of this polymorphism with risk of OC was found in the Asian and Caucasian populations. However, there was not significant heterogeneity between heterozygote genetic model (P = 0.15, I2 = 33%) in Caucasian. Therefore, we utilized the fixed-effect model to merge OR value. Conclusion Based on the available evidence, no association between RFC1 G80A Polymorphism and ALL risk was observed, even in the subanalysis by ethnicity. The direction of further research should focus not only on the simple relationship of RFC1 G80A Polymorphism and ALL risk, but also on gene–gene and gene-environment interaction. PMID:27222703
Full Text Available Xiao Jiang,1,2 Mei Zhang,3 Xiao-Yan Bai,1 Shujing Li,1 Huijian Wu1 1Laboratory of Molecular Medicine & Pharmacy, School of Life Science and Biotechnology, Dalian University of Technology, Dalian, People’s Republic of China; 2Department of Gastroenterology, Dalian Municipal Central Hospital Affiliated of Dalian Medical University, Dalian, People’s Republic of China; 3Department of Biochemistry and Molecular Biology, Heilongjiang University of Chinese Medicine, Haerbin, People’s Republic of China Background: Genome-wide association studies have identified rs6465657 polymorphism at chromosome 17q25.3 as a new prostate cancer (PCa susceptibility locus in people of European descent. However, subsequent replication studies have yielded inconsistent results among different ethnicities. In this study, a comprehensive meta-analysis was conducted to systematically evaluate the relationship between rs6465657 polymorphism and PCa risk.Methods: All the articles involved were identified from PubMed, EMBASE, Web of Science, EBSCO databases, and Google Scholar before December 2015. The odds ratios (ORs with corresponding 95% confidence internals (95% CIs were pooled under the allele model. Fourteen eligible articles with 19 studies were finally included.Results: In the overall population, the 17q25.3-rs6465657C allele was found to be significantly associated with increased risk of PCa compared to the T allele (OR =1.097; 95% CI: 1.061–1.134; P<0.001. In the subgroup analysis stratified by ethnicity, significantly increased risk was found in the Caucasian population (OR =1.120; 95% CI: 1.078–1.162; P<0.001, while the difference of OR did not reach the statistical significance in the Asian or African-American population. The analyses of sensitivity indicated the robust stability of the results, and the Begg’s and Egger’s test indicated that no publication bias existed.Conclusion: The current meta-analysis suggested that the 17q25.3-rs6465657
We have investigated the dosimetric characteristics of the new Octavius1500 array and its associated phantoms (Oct2D and Oct4D) and compared it to the previous systems. In line with the rising amount of publications advocating the retirement of the widely used but overly lenient 3%, 3mm (global dose) gamma analysis criteria, we have also focused on deriving appropriate evaluation criteria to be used with the new measurement systems in clinical routine. Using the Octavius1500 study as an example, we advocate the use of more selective, equipment specific gamma criteria, all starting from the same, very strict acceptance criteria but adding measurement uncertainty to these
Wang, Changyi; Chen, Sihan; Zhang, Tao; Chen, Zhongwei; Liu, Shengyuan; Peng, Xiaolin; Ma, Jianping; Zhong, Xiaohong; Yan, Yanqiong; Tang, Linlin; Mai, Yifeng; Han, Liyuan
Background. Controversy remains for the association between hepatocyte nuclear factor 4α (HNF-4α) P2 promoter polymorphism rs1884613 and type 2 diabetes (T2D). There was no association test of this polymorphism with prediabetes and T2D in the Chinese population. Moreover, an updated meta-analysis in various ethnic groups is needed to establish the contribution of rs1884613 to T2D risk. Methods. Using the Sequenom MassARRAY platform approach, we genotyped rs1884613 of HNF-4α in the P2 promoter region among 490 T2D patients, 471 individuals with prediabetes, and 575 healthy controls. All the individuals were recruited from 16 community health service centers in Nanshan district in Shenzhen province. Using STATA 11.0 software, meta-analysis was performed to summarize the overall contribution of rs1884613 to T2D risk. Results. Polymorphism rs1884613 was associated with genetic susceptibility to prediabetes in the whole samples (OR = 1.40, 95% CI = 1.16–1.68, P = 0.0001) and the female subgrouped samples (OR = 1.48, 95% CI = 1.14–1.92, P = 0.003) after adjusting for age and body mass index (BMI). In contrast, there was no association of rs1884613 with T2D in the whole samples and male in our case-control study and meta-analysis. Conclusions. Our results suggest that rs1884613 contributes to susceptibility to prediabetes, whereas this polymorphism may not play an important role in the development of T2D. PMID:25400315
Full Text Available Background. Controversy remains for the association between hepatocyte nuclear factor 4α (HNF-4α P2 promoter polymorphism rs1884613 and type 2 diabetes (T2D. There was no association test of this polymorphism with prediabetes and T2D in the Chinese population. Moreover, an updated meta-analysis in various ethnic groups is needed to establish the contribution of rs1884613 to T2D risk. Methods. Using the Sequenom MassARRAY platform approach, we genotyped rs1884613 of HNF-4α in the P2 promoter region among 490 T2D patients, 471 individuals with prediabetes, and 575 healthy controls. All the individuals were recruited from 16 community health service centers in Nanshan district in Shenzhen province. Using STATA 11.0 software, meta-analysis was performed to summarize the overall contribution of rs1884613 to T2D risk. Results. Polymorphism rs1884613 was associated with genetic susceptibility to prediabetes in the whole samples (OR = 1.40, 95% CI = 1.16–1.68, P=0.0001 and the female subgrouped samples (OR = 1.48, 95% CI = 1.14–1.92, P=0.003 after adjusting for age and body mass index (BMI. In contrast, there was no association of rs1884613 with T2D in the whole samples and male in our case-control study and meta-analysis. Conclusions. Our results suggest that rs1884613 contributes to susceptibility to prediabetes, whereas this polymorphism may not play an important role in the development of T2D.
Content analysis of 1,000 job ads in marketing, management, finance, and human resource management showed that ads were significantly more likely to ask for specific personal skills relevant to the job category. A survey of 170 companies that placed the ads indicated their motives for stipulating personal skills; two-thirds conducted formal job…
Mitteroecker, Philipp; Cheverud, James M; Pavlicev, Mihaela
With the advent of modern imaging and measurement technology, complex phenotypes are increasingly represented by large numbers of measurements, which may not bear biological meaning one by one. For such multivariate phenotypes, studying the pairwise associations between all measurements and all alleles is highly inefficient and prevents insight into the genetic pattern underlying the observed phenotypes. We present a new method for identifying patterns of allelic variation (genetic latent variables) that are maximally associated-in terms of effect size-with patterns of phenotypic variation (phenotypic latent variables). This multivariate genotype-phenotype mapping (MGP) separates phenotypic features under strong genetic control from less genetically determined features and thus permits an analysis of the multivariate structure of genotype-phenotype association, including its dimensionality and the clustering of genetic and phenotypic variables within this association. Different variants of MGP maximize different measures of genotype-phenotype association: genetic effect, genetic variance, or heritability. In an application to a mouse sample, scored for 353 SNPs and 11 phenotypic traits, the first dimension of genetic and phenotypic latent variables accounted for >70% of genetic variation present in all 11 measurements; 43% of variation in this phenotypic pattern was explained by the corresponding genetic latent variable. The first three dimensions together sufficed to account for almost 90% of genetic variation in the measurements and for all the interpretable genotype-phenotype association. Each dimension can be tested as a whole against the hypothesis of no association, thereby reducing the number of statistical tests from 7766 to 3-the maximal number of meaningful independent tests. Important alleles can be selected based on their effect size (additive or nonadditive effect on the phenotypic latent variable). This low dimensionality of the genotype-phenotype map
Wang, Duan; Xie, Tianhang; Xu, Jin; Wang, Haoyang; Zeng, Weinan; Rao, Shuquan; Zhou, Kai; Pei, Fuxing; Zhou, Zongke
Accumulating evidences have indicated that the functional -94 ins/del ATTG polymorphism in the promoter region of human nuclear factor-kappa B1 (NFKB1) gene may be associated with cancer risk. However, some studies yielded conflicting results. To clarify precise association, we performed a comprehensive meta-analysis of 42 case-control studies involving 43,000 subjects (18,222 cases and 24,778 controls). The overall results suggested that the -94 ins/del ATTG polymorphism had a decreased risk for cancer, reaching significant levels in five genetic models (dominant model: OR = 0.86, 95% CI = 0.79–0.95, P = 0.002; recessive model: OR = 0.84, 95% CI = 0.74–0.94, P = 0.003; homozygous model: OR = 0.77, 95% CI = 0.66–0.90, P = 0.001; heterozygous model: OR = 0.90, 95% CI = 0.83–0.98, P = 0.011; allelic model: OR = 0.89, 95% CI = 0.83–0.96, P = 0.002). Furthermore, the -94 ins/del ATTG polymorphism could confer a decreased or increased risk for cancer development among Asians and Caucasians, respectively. Additionally, the stratification analysis revealed a significant association between the variant and decreased risk of oral, ovarian, and nasopharyngeal cancer in Asians. After we adjusted p values using the Benjamini-Hochberg false discovery rate method to account for multiple comparisons, these associations remained. PMID:27443693
Fruits of selected lime in the stage of complete maturation, dark green skin, smooth thickness and free of mechanical damages, had been take to the Laboratorio de Irradiacao de Alimentos e Radioentomologia, CENA/USP, with objective to evaluate the effect of the radiation gamma on the external appearance when associate with packing in polystyrene bag, with and without air. The packing process was done before and also after irradiation. A cobalt-60 source was used to treated the fruits with doses of 0,0.5 and 0.75 kGy. The storage was held in BOD chamber with constant temperature of 27 deg C during 3 and 6 days. The association of the radiation with polystyrene bag, with or without application of vacuum, did not prevent the effect of the radiation doses, causing occurrence of dark spots in the skin. The vacuum application in the package resulted in lesser damage in the skin. Polystyrene bag, with and without vacuum application, kept the green coloration and the brightness of the skin during all period of storage, with loss of weight varying from 0.22 to 0.66% of the original weight. (author)
Corral-Frías, N S; Pizzagalli, D A; Carré, J M; Michalski, L J; Nikolova, Y S; Perlis, R H; Fagerness, J; Lee, M R; Conley, E Drabant; Lancaster, T M; Haddad, S; Wolf, A; Smoller, J W; Hariri, A R; Bogdan, R
Identifying mechanisms through which individual differences in reward learning emerge offers an opportunity to understand both a fundamental form of adaptive responding as well as etiological pathways through which aberrant reward learning may contribute to maladaptive behaviors and psychopathology. One candidate mechanism through which individual differences in reward learning may emerge is variability in dopaminergic reinforcement signaling. A common functional polymorphism within the catechol-O-methyl transferase gene (COMT; rs4680, Val(158) Met) has been linked to reward learning, where homozygosity for the Met allele (linked to heightened prefrontal dopamine function and decreased dopamine synthesis in the midbrain) has been associated with relatively increased reward learning. Here, we used a probabilistic reward learning task to asses response bias, a behavioral form of reward learning, across three separate samples that were combined for analyses (age: 21.80 ± 3.95; n = 392; 268 female; European-American: n = 208). We replicate prior reports that COMT rs4680 Met allele homozygosity is associated with increased reward learning in European-American participants (β = 0.20, t = 2.75, P COMT rs4680 genotype and reward learning (95% CI -0.11 to -0.03; z = 3.2; P COMT rs4680 influences individual differences in reward which may potentially contribute to psychopathology characterized by reward dysfunction. PMID:27138112
Speed, Doug; Hoggart, Clive; Petrovski, Slave; Tachmazidou, Ioanna; Coffey, Alison; Jorgensen, Andrea; Eleftherohorinou, Hariklia; De Iorio, Maria; Todaro, Marian; De, Tisham; Smith, David; Smith, Philip E; Jackson, Margaret; Cooper, Paul; Kellett, Mark; Howell, Stephen; Newton, Mark; Yerra, Raju; Tan, Meng; French, Chris; Reuber, Markus; Sills, Graeme E; Chadwick, David; Pirmohamed, Munir; Bentley, David; Scheffer, Ingrid; Berkovic, Samuel; Balding, David; Palotie, Aarno; Marson, Anthony; O'Brien, Terence J; Johnson, Michael R
We present the analysis of a prospective multicentre study to investigate genetic effects on the prognosis of newly treated epilepsy. Patients with a new clinical diagnosis of epilepsy requiring medication were recruited and followed up prospectively. The clinical outcome was defined as freedom from seizures for a minimum of 12 months in accordance with the consensus statement from the International League Against Epilepsy (ILAE). Genetic effects on remission of seizures after starting treatment were analysed with and without adjustment for significant clinical prognostic factors, and the results from each cohort were combined using a fixed-effects meta-analysis. After quality control (QC), we analysed 889 newly treated epilepsy patients using 472 450 genotyped and 6.9 × 10(6) imputed single-nucleotide polymorphisms. Suggestive evidence for association (defined as Pmeta 4.4% of the variation in the outcome of newly treated epilepsy. PMID:23962720
Full Text Available Abstract Background Microarray gene differential expression analysis is a widely used technique that deals with high dimensional data and is computationally intensive for permutation-based procedures. Microarray gene differential association analysis is even more computationally demanding and must take advantage of multicore computing technology, which is the driving force behind increasing compute power in recent years. In this paper, we present a two-layer hierarchical parallel implementation of gene differential association analysis. It takes advantage of both fine- and coarse-grain (with granularity defined by the frequency of communication parallelism in order to effectively leverage the non-uniform nature of parallel processing available in the cutting-edge systems of today. Results Our results show that this hierarchical strategy matches data sharing behavior to the properties of the underlying hardware, thereby reducing the memory and bandwidth needs of the application. The resulting improved efficiency reduces computation time and allows the gene differential association analysis code to scale its execution with the number of processors. The code and biological data used in this study are downloadable from http://www.urmc.rochester.edu/biostat/people/faculty/hu.cfm. Conclusions The performance sweet spot occurs when using a number of threads per MPI process that allows the working sets of the corresponding MPI processes running on the multicore to fit within the machine cache. Hence, we suggest that practitioners follow this principle in selecting the appropriate number of MPI processes and threads within each MPI process for their cluster configurations. We believe that the principles of this hierarchical approach to parallelization can be utilized in the parallelization of other computationally demanding kernels.
Gerson A. Müller; Fernando T. Name; Frederico C.L. Pacheco; Carlos B. Marcondes
The efficiency of an alternative method of collection (by suction of water) for the study of Culicidae and Chironomidae (Diptera), Scirtidae (Coleoptera) and Coenagrionidae (Odonata) in bromeliads with different foliar architecture in a restinga at Florianópolis, SC, Brazil, was studied. The alternative method was less efficient to collect Culicidae and Chironomidae (Wilcoxon test p 0.05) from Aechmea lindenii. ...
Full Text Available Anti-tumor necrosis factor alpha (anti-TNF biologic therapy is a widely used treatment for rheumatoid arthritis (RA. It is unknown why some RA patients fail to respond adequately to anti-TNF therapy, which limits the development of clinical biomarkers to predict response or new drugs to target refractory cases. To understand the biological basis of response to anti-TNF therapy, we conducted a genome-wide association study (GWAS meta-analysis of more than 2 million common variants in 2,706 RA patients from 13 different collections. Patients were treated with one of three anti-TNF medications: etanercept (n = 733, infliximab (n = 894, or adalimumab (n = 1,071. We identified a SNP (rs6427528 at the 1q23 locus that was associated with change in disease activity score (ΔDAS in the etanercept subset of patients (P = 8 × 10(-8, but not in the infliximab or adalimumab subsets (P>0.05. The SNP is predicted to disrupt transcription factor binding site motifs in the 3' UTR of an immune-related gene, CD84, and the allele associated with better response to etanercept was associated with higher CD84 gene expression in peripheral blood mononuclear cells (P = 1 × 10(-11 in 228 non-RA patients and P = 0.004 in 132 RA patients. Consistent with the genetic findings, higher CD84 gene expression correlated with lower cross-sectional DAS (P = 0.02, n = 210 and showed a non-significant trend for better ΔDAS in a subset of RA patients with gene expression data (n = 31, etanercept-treated. A small, multi-ethnic replication showed a non-significant trend towards an association among etanercept-treated RA patients of Portuguese ancestry (n = 139, P = 0.4, but no association among patients of Japanese ancestry (n = 151, P = 0.8. Our study demonstrates that an allele associated with response to etanercept therapy is also associated with CD84 gene expression, and further that CD84 expression correlates with disease activity. These findings support a model in which CD84
Burgdorf, Kristoffer Sølvsten; Grarup, Niels; Justesen, JM; Harder, Marie Neergaard; Witte, Daniel Rinse; Jørgensen, Torben; Sandbæk, Annelli; Lauritzen, Torsten; Madsbad, Sten; Hansen, Torben; Pedersen, Oluf
Aims: A study of 222 candidate genes in type 2 diabetes reported association of variants in RAPGEF1, ENPP1, TP53, NRF1, SLC2A2, SLC2A4 and FOXC2 with type 2 diabetes in 4,805 Finnish individuals. We aimed to replicate these associations in a Danish case-control study and to substantiate any...... 2 diabetes in the Danish samples. However, for all nine variants the estimate of increase in type 2 diabetes risk was observed for the same allele as previously reported. In a meta-analysis of published and online data including 55,521 Europeans the G-allele of rs1042522 in TP53 showed significant...... replicated associations in meta-analyses. Furthermore, we evaluated the impact on diabetes-related intermediate traits in a population-based sample of middle-aged Danes. Methods: We genotyped nine lead variants in the seven genes in 4,973 glucose-tolerant and 3,612 type 2 diabetes Danish individuals. In meta...
Progress in the study of the intensity of the urban heat island is reported. The intensity of the heat island is commonly defined as the temperature difference between the center of the city and the surrounding suburban and rural regions. The intensity is considered as a function of changes in the season and changes in meteorological conditions in order to derive various parameters which may be used in numerical models for urban climate. Twelve case studies were selected and CCT's were ordered. In situ data was obtained from sixteen stations scattered about the city of St. Louis. Upper-air meteorological data were obtained and the water vapor and the temperature data were processed. Atmospheric transmissivities were computed for each of the case studies.
Claire M. Marchetta
Full Text Available Folate is found naturally in foods or as synthetic folic acid in dietary supplements and fortified foods. Adequate periconceptional folic acid intake can prevent neural tube defects. Folate intake impacts blood folate concentration; however, the dose-response between natural food folate and blood folate concentrations has not been well described. We estimated this association among healthy females. A systematic literature review identified studies (1 1992–3 2014 with both natural food folate intake alone and blood folate concentration among females aged 12–49 years. Bayesian methods were used to estimate regression model parameters describing the association between natural food folate intake and subsequent blood folate concentration. Seven controlled trials and 29 observational studies met the inclusion criteria. For the six studies using microbiologic assay (MA included in the meta-analysis, we estimate that a 6% (95% Credible Interval (CrI: 4%, 9% increase in red blood cell (RBC folate concentration and a 7% (95% CrI: 1%, 12% increase in serum/plasma folate concentration can occur for every 10% increase in natural food folate intake. Using modeled results, we estimate that a natural food folate intake of ≥450 μg dietary folate equivalents (DFE/day could achieve the lower bound of an RBC folate concentration (~1050 nmol/L associated with the lowest risk of a neural tube defect. Natural food folate intake affects blood folate concentration and adequate intakes could help women achieve a RBC folate concentration associated with a risk of 6 neural tube defects/10,000 live births.
Sampson, Joshua N; Wheeler, William A; Yeager, Meredith; Panagiotou, Orestis; Wang, Zhaoming; Berndt, Sonja I; Lan, Qing; Abnet, Christian C; Amundadottir, Laufey T; Figueroa, Jonine D; Landi, Maria Teresa; Mirabello, Lisa; Savage, Sharon A; Taylor, Philip R; Vivo, Immaculata De; McGlynn, Katherine A; Purdue, Mark P; Rajaraman, Preetha; Adami, Hans-Olov; Ahlbom, Anders; Albanes, Demetrius; Amary, Maria Fernanda; An, She-Juan; Andersson, Ulrika; Andriole, Gerald; Andrulis, Irene L; Angelucci, Emanuele; Ansell, Stephen M; Arici, Cecilia; Armstrong, Bruce K; Arslan, Alan A; Austin, Melissa A; Baris, Dalsu; Barkauskas, Donald A; Bassig, Bryan A; Becker, Nikolaus; Benavente, Yolanda; Benhamou, Simone; Berg, Christine; Van Den Berg, David; Bernstein, Leslie; Bertrand, Kimberly A; Birmann, Brenda M; Black, Amanda; Boeing, Heiner; Boffetta, Paolo; Boutron-Ruault, Marie-Christine; Bracci, Paige M; Brinton, Louise; Brooks-Wilson, Angela R; Bueno-de-Mesquita, H Bas; Burdett, Laurie; Buring, Julie; Butler, Mary Ann; Cai, Qiuyin; Cancel-Tassin, Geraldine; Canzian, Federico; Carrato, Alfredo; Carreon, Tania; Carta, Angela; Chan, John K C; Chang, Ellen T; Chang, Gee-Chen; Chang, I-Shou; Chang, Jiang; Chang-Claude, Jenny; Chen, Chien-Jen; Chen, Chih-Yi; Chen, Chu; Chen, Chung-Hsing; Chen, Constance; Chen, Hongyan; Chen, Kexin; Chen, Kuan-Yu; Chen, Kun-Chieh; Chen, Ying; Chen, Ying-Hsiang; Chen, Yi-Song; Chen, Yuh-Min; Chien, Li-Hsin; Chirlaque, María-Dolores; Choi, Jin Eun; Choi, Yi Young; Chow, Wong-Ho; Chung, Charles C; Clavel, Jacqueline; Clavel-Chapelon, Françoise; Cocco, Pierluigi; Colt, Joanne S; Comperat, Eva; Conde, Lucia; Connors, Joseph M; Conti, David; Cortessis, Victoria K; Cotterchio, Michelle; Cozen, Wendy; Crouch, Simon; Crous-Bou, Marta; Cussenot, Olivier; Davis, Faith G; Ding, Ti; Diver, W Ryan; Dorronsoro, Miren; Dossus, Laure; Duell, Eric J; Ennas, Maria Grazia; Erickson, Ralph L; Feychting, Maria; Flanagan, Adrienne M; Foretova, Lenka; Fraumeni, Joseph F; Freedman, Neal D; Beane Freeman, Laura E; Fuchs, Charles; Gago-Dominguez, Manuela; Gallinger, Steven; Gao, Yu-Tang; Gapstur, Susan M; Garcia-Closas, Montserrat; García-Closas, Reina; Gascoyne, Randy D; Gastier-Foster, Julie; Gaudet, Mia M; Gaziano, J Michael; Giffen, Carol; Giles, Graham G; Giovannucci, Edward; Glimelius, Bengt; Goggins, Michael; Gokgoz, Nalan; Goldstein, Alisa M; Gorlick, Richard; Gross, Myron; Grubb, Robert; Gu, Jian; Guan, Peng; Gunter, Marc; Guo, Huan; Habermann, Thomas M; Haiman, Christopher A; Halai, Dina; Hallmans, Goran; Hassan, Manal; Hattinger, Claudia; He, Qincheng; He, Xingzhou; Helzlsouer, Kathy; Henderson, Brian; Henriksson, Roger; Hjalgrim, Henrik; Hoffman-Bolton, Judith; Hohensee, Chancellor; Holford, Theodore R; Holly, Elizabeth A; Hong, Yun-Chul; Hoover, Robert N; Horn-Ross, Pamela L; Hosain, G M Monawar; Hosgood, H Dean; Hsiao, Chin-Fu; Hu, Nan; Hu, Wei; Hu, Zhibin; Huang, Ming-Shyan; Huerta, Jose-Maria; Hung, Jen-Yu; Hutchinson, Amy; Inskip, Peter D; Jackson, Rebecca D; Jacobs, Eric J; Jenab, Mazda; Jeon, Hyo-Sung; Ji, Bu-Tian; Jin, Guangfu; Jin, Li; Johansen, Christoffer; Johnson, Alison; Jung, Yoo Jin; Kaaks, Rudolph; Kamineni, Aruna; Kane, Eleanor; Kang, Chang Hyun; Karagas, Margaret R; Kelly, Rachel S; Khaw, Kay-Tee; Kim, Christopher; Kim, Hee Nam; Kim, Jin Hee; Kim, Jun Suk; Kim, Yeul Hong; Kim, Young Tae; Kim, Young-Chul; Kitahara, Cari M; Klein, Alison P; Klein, Robert J; Kogevinas, Manolis; Kohno, Takashi; Kolonel, Laurence N; Kooperberg, Charles; Kricker, Anne; Krogh, Vittorio; Kunitoh, Hideo; Kurtz, Robert C; Kweon, Sun-Seog; LaCroix, Andrea; Lawrence, Charles; Lecanda, Fernando; Lee, Victor Ho Fun; Li, Donghui; Li, Haixin; Li, Jihua; Li, Yao-Jen; Li, Yuqing; Liao, Linda M; Liebow, Mark; Lightfoot, Tracy; Lim, Wei-Yen; Lin, Chien-Chung; Lin, Dongxin; Lindstrom, Sara; Linet, Martha S; Link, Brian K; Liu, Chenwei; Liu, Jianjun; Liu, Li; Ljungberg, Börje; Lloreta, Josep; Lollo, Simonetta Di; Lu, Daru; Lund, Eiluv; Malats, Nuria; Mannisto, Satu; Marchand, Loic Le; Marina, Neyssa; Masala, Giovanna; Mastrangelo, Giuseppe; Matsuo, Keitaro; Maynadie, Marc; McKay, James; McKean-Cowdin, Roberta; Melbye, Mads; Melin, Beatrice S; Michaud, Dominique S; Mitsudomi, Tetsuya; Monnereau, Alain; Montalvan, Rebecca; Moore, Lee E; Mortensen, Lotte Maxild; Nieters, Alexandra; North, Kari E; Novak, Anne J; Oberg, Ann L; Offit, Kenneth; Oh, In-Jae; Olson, Sara H; Palli, Domenico; Pao, William; Park, In Kyu; Park, Jae Yong; Park, Kyong Hwa; Patiño-Garcia, Ana; Pavanello, Sofia; Peeters, Petra H M; Perng, Reury-Perng; Peters, Ulrike; Petersen, Gloria M; Picci, Piero; Pike, Malcolm C; Porru, Stefano; Prescott, Jennifer; Prokunina-Olsson, Ludmila; Qian, Biyun; Qiao, You-Lin; Rais, Marco; Riboli, Elio; Riby, Jacques; Risch, Harvey A; Rizzato, Cosmeri; Rodabough, Rebecca; Roman, Eve; Roupret, Morgan; Ruder, Avima M; Sanjose, Silvia de; Scelo, Ghislaine; Schned, Alan; Schumacher, Fredrick; Schwartz, Kendra; Schwenn, Molly; Scotlandi, Katia; Seow, Adeline; Serra, Consol; Serra, Massimo; Sesso, Howard D; Setiawan, Veronica Wendy; Severi, Gianluca; Severson, Richard K; Shanafelt, Tait D; Shen, Hongbing; Shen, Wei; Shin, Min-Ho; Shiraishi, Kouya; Shu, Xiao-Ou; Siddiq, Afshan; Sierrasesúmaga, Luis; Sihoe, Alan Dart Loon; Skibola, Christine F; Smith, Alex; Smith, Martyn T; Southey, Melissa C; Spinelli, John J; Staines, Anthony; Stampfer, Meir; Stern, Marianna C; Stevens, Victoria L; Stolzenberg-Solomon, Rachael S; Su, Jian; Su, Wu-Chou; Sund, Malin; Sung, Jae Sook; Sung, Sook Whan; Tan, Wen; Tang, Wei; Tardón, Adonina; Thomas, David; Thompson, Carrie A; Tinker, Lesley F; Tirabosco, Roberto; Tjønneland, Anne; Travis, Ruth C; Trichopoulos, Dimitrios; Tsai, Fang-Yu; Tsai, Ying-Huang; Tucker, Margaret; Turner, Jenny; Vajdic, Claire M; Vermeulen, Roel C H; Villano, Danylo J; Vineis, Paolo; Virtamo, Jarmo; Visvanathan, Kala; Wactawski-Wende, Jean; Wang, Chaoyu; Wang, Chih-Liang; Wang, Jiu-Cun; Wang, Junwen; Wei, Fusheng; Weiderpass, Elisabete; Weiner, George J; Weinstein, Stephanie; Wentzensen, Nicolas; White, Emily; Witzig, Thomas E; Wolpin, Brian M; Wong, Maria Pik; Wu, Chen; Wu, Guoping; Wu, Junjie; Wu, Tangchun; Wu, Wei; Wu, Xifeng; Wu, Yi-Long; Wunder, Jay S; Xiang, Yong-Bing; Xu, Jun; Xu, Ping; Yang, Pan-Chyr; Yang, Tsung-Ying; Ye, Yuanqing; Yin, Zhihua; Yokota, Jun; Yoon, Ho-Il; Yu, Chong-Jen; Yu, Herbert; Yu, Kai; Yuan, Jian-Min; Zelenetz, Andrew; Zeleniuch-Jacquotte, Anne; Zhang, Xu-Chao; Zhang, Yawei; Zhao, Xueying; Zhao, Zhenhong; Zheng, Hong; Zheng, Tongzhang; Zheng, Wei; Zhou, Baosen; Zhu, Meng; Zucca, Mariagrazia; Boca, Simina M; Cerhan, James R; Ferri, Giovanni M; Hartge, Patricia; Hsiung, Chao Agnes; Magnani, Corrado; Miligi, Lucia; Morton, Lindsay M; Smedby, Karin E; Teras, Lauren R; Vijai, Joseph; Wang, Sophia S; Brennan, Paul; Caporaso, Neil E; Hunter, David J; Kraft, Peter; Rothman, Nathaniel; Silverman, Debra T; Slager, Susan L; Chanock, Stephen J; Chatterjee, Nilanjan
BACKGROUND: Studies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites. METHO
Sampson, Joshua N; Wheeler, William A; Yeager, Meredith;
BACKGROUND: Studies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites. ME...
Seefried, Franz Reinhold
In the past decades, various mapping experiments resulted in the detection of several markers affecting milk production traits on bovine chromosome 6. The aim of this study was to identify causative polymorphisms of milk traits using a multiple breed approach. Six selected candidate genes on chromosome 6 in cattle were characterised and screened for polymorphisms. Following this, 50 polymorphisms were genotyped in sires of German Brown, Fleckvieh and German Holstein for investigation in assoc...
Müller, Gerson A; Name, Fernando T; Pacheco, Frederico C L; Marcondes, Carlos B
The efficiency of an alternative method of collection (by suction of water) for the study of Culicidae and Chironomidae (Diptera), Scirtidae (Coleoptera) and Coenagrionidae (Odonata) in bromeliads with different foliar architecture in a restinga at Florianópolis, SC, Brazil, was studied. The alternative method was less efficient to collect Culicidae and Chironomidae (Wilcoxon test p 0.05) from Aechmea lindenii. This method was less efficient to collect insects of all groups from Vriesea friburgensis (Wilcoxon test p < 0.05). The alternative method was efficient to estimate the diversity of these insects in both species of bromeliads. The higher mobility of immature forms of beetles and dragonflies, and the availability of only one tank in Aechea lindenii, contrasting to several tanks in Vriesea friburgensis that help the suction of these immature, probably influenced the results, which indicated that the suction method should not replace the dismantling in the study of Culicidae and Chironomidae. This method can be useful to get immature forms of Scirtidae and Coenagrionidae in one-tank bromeliads. PMID:21152764
Full Text Available Accumulating evidence demonstrates that microRNA-29 (miR-29 expression is prominently decreased in patients with hepatic fibrosis, which consequently stimulates hepatic stellate cells’ (HSCs activation. We used a cDNA microarray study to gain a more comprehensive understanding of genome-wide gene expressions by adjusting miR-29a expression in a bile duct-ligation (BDL animal model. Methods: Using miR-29a transgenic mice and wild-type littermates and applying the BDL mouse model, we characterized the function of miR-29a with regard to cholestatic liver fibrosis. Pathway enrichment analysis and/or specific validation were performed for differentially expressed genes found within the comparisons. Results: Analysis of the microarray data identified a number of differentially expressed genes due to the miR-29a transgene, BDL, or both. Additional pathway enrichment analysis revealed that TGF-β signaling had a significantly differential activated pathway depending on the occurrence of miR-29a overexpression or the lack thereof. Furthermore, overexpression was found to elicit changes in Wnt/β-catenin after BDL. Conclusion: This study verified that an elevated miR-29a level could alleviate liver fibrosis caused by cholestasis. Furthermore, the protective effects of miR-29a correlate with the downregulation of TGF-β and associated with Wnt/β-catenin signal pathway following BDL.
Full Text Available BACKGROUND: The suppressor of cytokine signalling 3 (SOCS3 provides a link between cytokine action and their negative consequences on insulin signalling. Thus SOCS3 is a potential candidate gene for type 2 diabetes (T2DM. METHODOLOGY/PRINCIPAL FINDINGS: Based on HapMap we identified the polymorphism A+930-->G (rs4969168 as a haplotype tagging SNP (htSNP sufficiently covering the genetic variation of the whole gene. We therefore examined the association between rs4969168 within SOCS3 and T2DM in three independent study populations; one prospective case-cohort study and two cross-sectional study populations. Due to the low frequency of individuals being homozygous for the polymorphism a dominant model of inheritance was assumed. The case-cohort study with 2,957 individuals (764 of them with incident T2DM showed no effect of the polymorphism on diabetes risk (hazard ratio (95%CI: 0.86 (0.66-1.13; p = 0.3. Within the MeSyBePo-study population 325 subjects had T2DM from a total of 1,897 individuals, while the second cross-sectional cohort included 851 cases of T2DM within a total of 1653 subjects. According to the results in the prospective study, no association with T2DM was found (odds ratio (95%CI: 0.78 (0.54-1.12 for MesyBepo and 1.13 (0.90-1.42 for the Leipzig study population. There was also no association with metabolic subtraits such as insulin sensitivity (p = 0.7, insulin secretion (p = 0.8 or the hyperbolic relation of both, the disposition index (p = 0.7. In addition, no evidence for interaction with BMI or sex was found. We subsequently performed a meta-analysis, additionally including the publicly available data from the T2DM-subcohort of the WTCCC (n = 4,855. The overall odds ratio within that meta-analysis was 0.96 (0.88-1.06. CONCLUSIONS/SIGNIFICANCE: There is no strong effect of the common genetic variation within the SOCS3 gene on the development of T2DM.
Full Text Available Abstract Background Despite the recent success of genome-wide association studies in identifying novel loci contributing effects to complex human traits, such as type 2 diabetes and obesity, much of the genetic component of variation in these phenotypes remains unexplained. One way to improving power to detect further novel loci is through meta-analysis of studies from the same population, increasing the sample size over any individual study. Although statistical software analysis packages incorporate routines for meta-analysis, they are ill equipped to meet the challenges of the scale and complexity of data generated in genome-wide association studies. Results We have developed flexible, open-source software for the meta-analysis of genome-wide association studies. The software incorporates a variety of error trapping facilities, and provides a range of meta-analysis summary statistics. The software is distributed with scripts that allow simple formatting of files containing the results of each association study and generate graphical summaries of genome-wide meta-analysis results. Conclusions The GWAMA (Genome-Wide Association Meta-Analysis software has been developed to perform meta-analysis of summary statistics generated from genome-wide association studies of dichotomous phenotypes or quantitative traits. Software with source files, documentation and example data files are freely available online at http://www.well.ox.ac.uk/GWAMA.
Khan, Saif; Mandal, Raju K; Jawed, Arshad; Dar, Sajad A; Wahid, Mohd; Panda, Aditya K; Areeshi, Mohammed Y; Ahmed Khan, Md Ekhlaque; Haque, Shafiul
Celiac disease (CD) remains one of the most significant autoimmune diseases worldwide. The pathogenesis of CD is not clearly understood and is probably attributed to genomic variations and host genetic make-up. Case-control and cohort studies of the association between the TNF-α -308 G > A (rs1800629) polymorphism and CD susceptibility have yielded inconsistent results. In this study, PubMed, EMBASE, and Google Scholar web-databases were searched for pertinent reports showing association of TNF-α -308 G > A gene with CD risk. A total of eleven reports involving 1774 controls and 1147 CD cases were included. Significant associations in four genetic models, viz. variant allele (A vs. G: p = 0.001; OR = 2.051, 95% CI = 1.452-2.895), variant homozygous (AA vs. GG: p = 0.001; OR = 6.626, 95% CI = 3.569-12.300), recessive (AA vs. GG + AG: p = 0.001; OR = 4.766, 95% CI = 3.177-7.152) and dominant (AA + AG vs. GG: p = 0.008; OR = 1.910, 95% CI = 1.181-3.088) were found in comparison with wild type homozygous GG genotype. However, heterozygous genetic model did not show any association. Sensitivity analysis revealed stable and statistically robust results. Our results suggest that TNF-α -308 G > A gene polymorphism significantly contributes to CD susceptibility. PMID:27597177
Bacelis, Jonas; Juodakis, Julius; Sengpiel, Verena; Zhang, Ge; Myhre, Ronny; Muglia, Louis J.; Nilsson, Staffan; Jacobsson, Bo
Background Five-to-eighteen percent of pregnancies worldwide end in preterm birth, which is the major cause of neonatal death and morbidity. Approximately 30% of the variation in gestational age at birth can be attributed to genetic factors. Genome-wide association studies (GWAS) have not shown robust evidence of association with genomic loci yet. Methods We separately investigated 1921 Norwegian mothers and 1199 children from pregnancies with spontaneous onset of delivery. Individuals were further divided based on the onset of delivery: initiated by labor or prelabor rupture of membranes. Genetic association with ultrasound-dated gestational age was evaluated using three genetic models and adaptive permutations. The top-ranked loci were tested for enrichment in 12 candidate gene-sets generated by text-mining PubMed abstracts containing pregnancy-related keywords. Results The six GWAS did not reveal significant associations, with the most extreme empirical p = 5.1 × 10−7. The top loci from maternal GWAS with deliveries initiated by labor showed significant enrichment in 10 PubMed gene-sets, e.g., p = 0.001 and 0.005 for keywords "uterus" and "preterm" respectively. Enrichment signals were mainly caused by infection/inflammation-related genes TLR4, NFKB1, ABCA1, MMP9. Literature-informed analysis of top loci revealed further immunity genes: IL1A, IL1B, CAMP, TREM1, TFRC, NFKBIA, MEFV, IRF8, WNT5A. Conclusion Our analyses support the role of inflammatory pathways in determining pregnancy duration and provide a list of 32 candidate genes for a follow-up work. We observed that the top regions from GWAS in mothers with labor-initiated deliveries significantly more often overlap with pregnancy-related genes than would be expected by chance, suggesting that increased sample size would benefit similar studies. PMID:27490719
Gerson A. Müller
Full Text Available The efficiency of an alternative method of collection (by suction of water for the study of Culicidae and Chironomidae (Diptera, Scirtidae (Coleoptera and Coenagrionidae (Odonata in bromeliads with different foliar architecture in a restinga at Florianópolis, SC, Brazil, was studied. The alternative method was less efficient to collect Culicidae and Chironomidae (Wilcoxon test p 0.05 from Aechmea lindenii. This method was less efficient to collect insects of all groups from Vriesea friburgensis (Wilcoxon test p A eficiência do método alternativo de coleta (por sucção da água para o estudo de Culicidae e Chironomidae (Diptera, Scirtidae (Coleoptera e Coenagrionidae (Odonata em bromélias com diferentes estruturas foliares de restinga em Florianópolis, SC, Brasil, foi estudada. O método alternativo foi menos eficiente para coletar Culicidae e Chironomidae (teste de Wilcoxon p 0, 05 a partir de Aechmea lindenii. Esse foi menos eficiente para coletar insetos de todos os grupos a partir de Vriesea friburgensis (teste de Wilcoxon p < 0,05. O método alternativo se mostrou eficiente em estimar a diversidade desses insetos nas duas espécies de bromélias. A alta mobilidade das formas imaturas dos coleópteros e libélulas e a disponibilidade de apenas um tanque em Aechea lindenii, em contraste com as várias axilas e Vriesea friburgensis, facilitando a sucção destas formas imaturas provavelmente influenciaram os resultados. Os resultados indicam que o método de sucção não deve substituir o desmanche no estudo de Culicidae e Chironomidae; ele pode ser útil para a obtenção de formas imaturas de Scirtidae e Coenagrionidae em bromélias de um só tanque.
Full Text Available BACKGROUND: Antiretroviral therapy (ART has major benefits during pregnancy, both for maternal health and to prevent mother-to-child transmission of HIV. Safety issues, including teratogenic risk, need to be evaluated. We estimated the prevalence of birth defects in children born to HIV-infected women receiving ART during pregnancy, and assessed the independent association of birth defects with each antiretroviral (ARV drug used. METHODS AND FINDINGS: The French Perinatal Cohort prospectively enrolls HIV-infected women delivering in 90 centers throughout France. Children are followed by pediatricians until 2 y of age according to national guidelines. We included 13,124 live births between 1994 and 2010, among which, 42% (n = 5,388 were exposed to ART in the first trimester of pregnancy. Birth defects were studied using both European Surveillance of Congenital Anomalies (EUROCAT and Metropolitan Atlanta Congenital Defects Program (MACDP classifications; associations with ART were evaluated using univariate and multivariate logistic regressions. Correction for multiple comparisons was not performed because the analyses were based on hypotheses emanating from previous findings in the literature and the robustness of the findings of the current study. The prevalence of birth defects was 4.4% (95% CI 4.0%-4.7%, according to the EUROCAT classification. In multivariate analysis adjusting for other ARV drugs, maternal age, geographical origin, intravenous drug use, and type of maternity center, a significant association was found between exposure to zidovudine in the first trimester and congenital heart defects: 2.3% (74/3,267, adjusted odds ratio (AOR = 2.2 (95% CI 1.3-3.7, p = 0.003, absolute risk difference attributed to zidovudine +1.2% (95% CI +0.5; +1.9%. Didanosine and indinavir were associated with head and neck defects, respectively: 0.5%, AOR = 3.4 (95% CI 1.1-10.4, p = 0.04; 0.9%, AOR = 3.8 (95% CI 1.1-13.8, p = 0
Olofin, Ibironke; McDonald, Christine M.; Ezzati, Majid; Flaxman, Seth; Black, Robert E.; Fawzi, Wafaie W.; Caulfield, Laura E.; Danaei, Goodarz
Background Child undernutrition affects millions of children globally. We investigated associations between suboptimal growth and mortality by pooling large studies. Methods Pooled analysis involving children 1 week to 59 months old in 10 prospective studies in Africa, Asia and South America. Utilizing most recent measurements, we calculated weight-for-age, height/length-for-age and weight-for-height/length Z scores, applying 2006 WHO Standards and the 1977 NCHS/WHO Reference. We estimated all-cause and cause-specific mortality hazard ratios (HR) using proportional hazards models comparing children with mild (−2≤Z<−1), moderate (−3≤Z<−2), or severe (Z<−3) anthropometric deficits with the reference category (Z≥−1). Results 53 809 children were eligible for this re-analysis and contributed a total of 55 359 person-years, during which 1315 deaths were observed. All degrees of underweight, stunting and wasting were associated with significantly higher mortality. The strength of association increased monotonically as Z scores decreased. Pooled mortality HR was 1.52 (95% Confidence Interval 1.28, 1.81) for mild underweight; 2.63 (2.20, 3.14) for moderate underweight; and 9.40 (8.02, 11.03) for severe underweight. Wasting was a stronger determinant of mortality than stunting or underweight. Mortality HR for severe wasting was 11.63 (9.84, 13.76) compared with 5.48 (4.62, 6.50) for severe stunting. Using older NCHS standards resulted in larger HRs compared with WHO standards. In cause-specific analyses, all degrees of anthropometric deficits increased the hazards of dying from respiratory tract infections and diarrheal diseases. The study had insufficient power to precisely estimate effects of undernutrition on malaria mortality. Conclusions All degrees of anthropometric deficits are associated with increased risk of under-five mortality using the 2006 WHO Standards. Even mild deficits substantially increase mortality, especially from infectious diseases
Full Text Available BACKGROUND: Child undernutrition affects millions of children globally. We investigated associations between suboptimal growth and mortality by pooling large studies. METHODS: Pooled analysis involving children 1 week to 59 months old in 10 prospective studies in Africa, Asia and South America. Utilizing most recent measurements, we calculated weight-for-age, height/length-for-age and weight-for-height/length Z scores, applying 2006 WHO Standards and the 1977 NCHS/WHO Reference. We estimated all-cause and cause-specific mortality hazard ratios (HR using proportional hazards models comparing children with mild (-2≤Z<-1, moderate (-3≤Z<-2, or severe (Z<-3 anthropometric deficits with the reference category (Z≥-1. RESULTS: 53 809 children were eligible for this re-analysis and contributed a total of 55 359 person-years, during which 1315 deaths were observed. All degrees of underweight, stunting and wasting were associated with significantly higher mortality. The strength of association increased monotonically as Z scores decreased. Pooled mortality HR was 1.52 (95% Confidence Interval 1.28, 1.81 for mild underweight; 2.63 (2.20, 3.14 for moderate underweight; and 9.40 (8.02, 11.03 for severe underweight. Wasting was a stronger determinant of mortality than stunting or underweight. Mortality HR for severe wasting was 11.63 (9.84, 13.76 compared with 5.48 (4.62, 6.50 for severe stunting. Using older NCHS standards resulted in larger HRs compared with WHO standards. In cause-specific analyses, all degrees of anthropometric deficits increased the hazards of dying from respiratory tract infections and diarrheal diseases. The study had insufficient power to precisely estimate effects of undernutrition on malaria mortality. CONCLUSIONS: All degrees of anthropometric deficits are associated with increased risk of under-five mortality using the 2006 WHO Standards. Even mild deficits substantially increase mortality, especially from infectious
Sahu, S K; Chakrabarti, S; Roy, S D; Baishya, N; Reddy, R R; Suklabaidya, S; Kumar, A; Mohanty, S; Maji, S; Suryanwanshi, A; Rajasubramaniam, S; Asthana, M; Panda, A K; Singh, S P; Ganguly, S; Shaw, O P; Bichhwalia, A K; Sahoo, P K; Chattopadhyay, N R; Chatterjee, K; Kundu, C N; Das, A K; Kannan, R; Zorenpuii; Zomawia, E; Sema, S A; Singh, Y I; Ghosh, S K; Sharma, K; Das, B S; Choudhuri, T
Tumor suppressor p53 is a critical player in the fight against cancer as it controls the cell cycle check point, apoptotic pathways and genomic stability. It is known to be the most frequently mutated gene in a wide variety of human cancers. Single-nucleotide polymorphism of p53 at codon72 leading to substitution of proline (Pro) in place of arginine (Arg) has been identified as a risk factor for development of many cancers, including nasopharyngeal carcinoma (NPC). However, the association of this polymorphism with NPC across the published literature has shown conflicting results. We aimed to conduct a case-control study for a possible relation of p53 codon72 Arg>Pro polymorphism with NPC risk in underdeveloped states of India, combine the result with previously available records from different databases and perform a meta-analysis to draw a more definitive conclusion. A total of 70 NPC patients and 70 healthy controls were enrolled from different hospitals of north-eastern India. The p53 codon72 Arg>Pro polymorphism was typed by polymerase chain reaction, which showed an association with NPC risk. In the meta-analysis consisting of 1842 cases and 2330 controls, it was found that individuals carrying the Pro allele and the ProPro genotype were at a significantly higher risk for NPC as compared with those with the Arg allele and the ArgArg genotype, respectively. Individuals with a ProPro genotype and a combined Pro genotype (ProPro+ArgPro) also showed a significantly higher risk for NPC over a wild homozygote ArgArg genotype. Additionally, the strength of each study was tested by power analysis and genotype distribution by Hardy-Weinberg equilibrium. The outcome of the study indicated that both allele frequency and genotype distribution of p53 codon72 Arg>Pro polymorphism were significantly associated with NPC risk. Stratified analyses based on ethnicity and source of samples supported the above result. PMID:27159678
In this paper, we give an overview of the use of Formal Concept Analysis in the framework of association rule extraction. Using frequent closed itemsets and their generators, that are defined using the Galois closure operator, we address two major problems: response times of association rule extraction and the relevance and usefulness of discovered association rules. We quickly review the Close and the A-Close algorithms for extracting frequent closed itemsets using their generators that redu...
Mooyaart, A. L.; Valk, E. J. J.; L. A. van Es; Bruijn, J. A.; de Heer, E.; Freedman, B.I.; Dekkers, O. M.; Baelde, H. J.
Aims/hypothesis This meta-analysis assessed the pooled effect of each genetic variant reproducibly associated with diabetic nephropathy. Methods PubMed, EMBASE and Web of Science were searched for articles assessing the association between genes and diabetic nephropathy. All genetic variants statistically associated with diabetic nephropathy in an initial study, then independently reproduced in at least one additional study, were selected. Subsequently, all studies assessing these variants we...
D.W. Loth (Daan); M.S. Artigas; S.A. Gharib (Sina); L.V. Wain (Louise); N. Franceschini (Nora); B. Koch (Beate); T.D. Pottinger (Tess); G.D. Smith; Q. Duan (Qing); C. Oldmeadow (Christopher); M.K. Lee (Mi Kyeong); D.P. Strachan (David); A.L. James (Alan); J.E. Huffman (Jennifer); V. Vitart (Veronique); A. Ramasamy (Adaikalavan); N.J. Wareham (Nick); J. Kaprio (Jaakko); X.-Q. Wang (Xin-Qun); H. Trochet (Holly); M. Kähönen (Mika); C. Flexeder (Claudia); E. Albrecht (Eva); L.M. Lopez (Lorna); B. Thyagarajan (Bharat); A.C. Alves (Alexessander Couto); S. Enroth (Stefan); E. Omenaas (Ernst); P.K. Joshi (Peter); M. Fall (Magnus); A. Viñuela (Ana); L.J. Launer (Lenore); L.R. Loehr (Laura); M. Fornage (Myriam); G. Li (Guo); J.B. Wilk (Jemma); W. Tang (Wenbo); A. Manichaikul (Ani); L. Lahousse (Lies); T.B. Harris (Tamara); K.E. North (Kari); A.R. Rudnicka (Alicja); J. Hui (Jennie); X. Gu (Xiangjun); T. Lumley (Thomas); A.F. Wright (Alan); N. Hastie (Nick); S. Campbell (Susan); R. Kumar (Rajesh); I. Pin (Isabelle); R.A. Scott (Robert); K.H. Pietilainen (Kirsi Hannele); I. Surakka (Ida); Y. Liu (Yongmei); E.G. Holliday (Elizabeth); H. Schulz (Holger); J. Heinrich (Joachim); G. Davies (Gail); J.M. Vonk (Judith); M.K. Wojczynski (Mary ); A. Pouta (Anneli); A. Johansson (Åsa); S.H. Wild (Sarah); E. Ingelsson (Erik); F. Rivadeneira Ramirez (Fernando); H. Völzke (Henry); P.G. Hysi (Pirro); G. Eiriksdottir (Gudny); A.C. Morrison (Alanna); J.I. Rotter (Jerome); W. Gao (Wei); D.S. Postma (Dirkje); W.B. White (Wendy); S.S. Rich (Stephen); A. Hofman (Albert); T. Aspelund (Thor); D. Couper (David); L.J. Smith (Lewis); B.M. Psaty (Bruce); K. Lohman (Kurt); E.G. Burchard (Esteban); A.G. Uitterlinden (André); M. Garcia (Melissa); B.R. Joubert (Bonnie); W.L. McArdle (Wendy); A.W. Musk (Arthur); C.R.W. Hansel (Christian); S.R. Heckbert (Susan); L. Zgaga (Lina); J.B.J. van Meurs (Joyce); P. Navarro (Pau); I. Rudan (Igor); Y.-M. Oh (Yeon-Mok); S. Redline (Susan); D.L. Jarvis (Deborah); J.H. Zhao (Jing); T. Rantanen (Taina); G.T. O'Connor (George); S. Ripatti (Samuli); R.J. Scott (Rodney); S. Karrasch (Stefan); H. Grallert (Harald); N.C. Gaddis (Nathan); J.M. Starr (John); C. Wijmenga (Cisca); R.L. Minster (Ryan); C.W. Lederer (Carsten); J. Pekkanen (Juha); U. Gyllensten (Ulf); H. Campbell (Harry); A.P. Morris (Andrew); S. Gläser (Sven); C.J. Hammond (Christopher); K.M. Burkart (Kristin); J.P. Beilby (John); S.B. Kritchevsky (Stephen); V. Gudnason (Vilmundur); D.B. Hancock (Dana); O.D. Williams (Dale); O. Polasek (Ozren); T. Zemunik (Tatijana); I. Kolcic (Ivana); M.F. Petrini (Marcy); K.T. de Jong (Kim); M. Wjst (Matthias); W.H. Kim (Woo); D.J. Porteous (David J.); G. Scotland (Generation); B.H. Smith (Blair); A. Viljanen (Anne); M. Heliovaara (Markku); J. Attia (John); I. Sayers (Ian); R. Hampel (Regina); C. Gieger (Christian); I.J. Deary (Ian); H.M. Boezen (H. Marike); A.B. Newman (Anne); M.-R. Jarvelin (Marjo-Riitta); J.F. Wilson (James); L. Lind (Lars); B.H.Ch. Stricker (Bruno); A. Teumer (Alexander); T.D. Spector (Timothy); E. Melén (Erik); M.J. Peters (Marjolein); L.A. Lange (Leslie); R.G. Barr (Graham); K.R. Bracke (Ken); F.M. Verhamme (Fien); J. Sung (Joohon); P.S. Hiemstra (Pieter); P.A. Cassano (Patricia); A. Sood (Akshay); C. Hayward (Caroline); J. Dupuis (Josée); I.P. Hall (Ian); G.G. Brusselle (Guy); M.D. Tobin (Martin); S.J. London (Stephanie)
textabstractForced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in
Loth, Daan W.; Artigas, Maria Soler; Gharib, Sina A.; Wain, Louise V.; Franceschini, Nora; Koch, Beate; Pottinger, Tess D.; Smith, Albert Vernon; Duan, Qing; Oldmeadow, Chris; Lee, Mi Kyeong; Strachan, David P.; James, Alan L.; Huffman, Jennifer E.; Vitart, Veronique; Ramasamy, Adaikalavan; Wareham, Nicholas J.; Kaprio, Jaakko; Wang, Xin-Qun; Trochet, Holly; Kaonen, Mika; Flexeder, Claudia; Albrecht, Eva; Lopez, Lorna M.; de Jong, Kim; Thyagarajan, Bharat; Alves, Alexessander Couto; Enroth, Stefan; Omenaas, Ernst; Joshi, Peter K.; Fall, Tove; Vinuela, Ana; Launer, Lenore J.; Loehr, Laura R.; Fornage, Myriam; Li, Guo; Wik, Jemma B.; Tang, Wenbo; Manichaikul, Ani; Lahousse, Lies; Harris, Tamara B.; North, Kari E.; Rudnicka, Alicja R.; Hui, Jennie; Gu, Xiangjun; Lumley, Thomas; Wright, Alan F.; Hastie, Nicholas D.; Campbell, Susan; Kumar, Rajesh; Pin, Isabelle; Scott, Robert A.; Pietilainen, Kirsi H.; Surakka, Ida; Liu, Yongmei; Holliday, Elizabeth G.; Schulz, Holger; Heinrich, Joachim; Davies, Gail; Vonk, Judith M.; Wojczynski, Mary; Pouta, Anneli; Johansson, Asa; Wild, Sarah H.; Ingelsson, Erik; Rivadeneira, Fernando; Voezke, Henry; Hysi, Pirro G.; Eiriksdottir, Gudny; Morrison, Alanna C.; Rotter, Jerome I.; Gao, Wei; Postma, Dirkje S.; White, Wendy B.; Rich, Stephen S.; Hofman, Albert; Aspelund, Thor; Couper, David; Smith, Lewis J.; Psaty, Bruce M.; Lohman, Kurt; Burchard, Esteban G.; Uitterlinden, Andre G.; Garcia, Melissa; Joubert, Bonnie R.; McArdle, Wendy L.; Musk, A. Bill; Hansel, Nadia; Heckbert, Susan R.; Zgaga, Lina; van Meurs, Joyce B. J.; Navarro, Pau; Rudan, Igor; Oh, Yeon-Mok; Redline, Susan; Jarvis, Deborah L.; Rantanen, Taina; O'Connor, George T.; Ripatti, Samuli; Scott, Rodney J.; Karrasch, Stefan; Grallert, Harald; Gaddis, Nathan C.; Starr, John M.; Wijmenga, Cisca; Minster, Ryan L.; Lederer, David J.; Pekkanen, Juha; Gyllensten, Ulf; Campbe, Harry; Morris, Andrew P.; Glaeser, Sven; Hammond, Christopher J.; Burkart, Kristin M.; Beilby, John; Kritchevsky, Stephen B.; Gucinason, Vilrnundur; Hancock, Dana B.; Williams, Dale; Polasek, Ozren; Zemunik, Tatijana; Kolcic, Ivana; Petrini, Marcy F.; Wjst, Matthias; Kim, Woo Jin; Porteous, David J.; Scotland, Generation; Smith, Blair H.; Villanen, Anne; Heliovaara, Markku; Attia, John R.; Sayers, Ian; Hampel, Regina; Gieger, Christian; Deary, Ian J.; Boezen, Hendrika; Newman, Anne; Jarvelin, Marjo-Riitta; Wilson, James F.; Lind, Lars; Stricker, Bruno H.; Teumer, Alexander; Spector, Timothy D.; Melen, Erik; Peters, Marjolein J.; Lange, Leslie A.; Barr, R. Graham; Bracke, Ken R.; Verhamme, Fien M.; Sung, Joohon; Hiemstra, Pieter S.; Cassano, Patricia A.; Sood, Akshay; Hayward, Caroline; Dupuis, Josee; Hall, Ian P.; Brusselle, Guy G.; Tobin, Martin D.; London, Stephanie J.
Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917 addit
Full Text Available Abstract Background Sulfotransferase (SULT plays an important role in the formation of estrogen which is usually conferred as a risk factor for breast cancer. Polymorphism of the SULT1A1 may be closely associated with breast cancer. However, studies on the association between polymorphism and breast cancer have yielded inconsistent results. We performed a meta-analysis including ethnic subgroup and menopausal statue subgroup to investigate the association of SULT1A1 Arg213His polymorphism with breast cancer. Methods PubMed, EBSCO and Web of Science databases were searched for the correlative articles up to January 2010 (10362 breast cancer patients and 14250 controls. The risk (odds ratio, OR was used to estimate the association between SULT1A1 polymorphism and breast cancer risk. All of the data from each study use either fixed-effects or random-effects. Results We found that SULT1A1 Arg213His had no exact effect to increase the risk of breast cancer (OR = 1.07, 95% CI: 0.97-1.17, P = 0.164, but it did increase the risk of breast cancer among postmenopausal women in the dominant model (OR = 1.28, 95%CI: 1.04-1.58, P = 0.019. No similar effect was found among premenopausal breast cancer women (OR = 1.06, 95%CI: 0.88-1.27, P = 0.537. There was a significant increase in breast cancer risk among Asian women (OR = 2.03, 95% CI: 1.00-4.14, P = 0.051 but not Caucasian women in recessive model. There was publication bias among postmenopausal women subgroup (P = 0.002, however by using the trim and fill method, if the publication bias was the only source of the funnel plot asymmetry, it needed two more studies to be symmetrical. The value of Log OR did not change too much after the adjustment and the fail-safe number of missing studies that would bring the P-value changed was 17. Conclusions We concluded that the polymorphism of SULT1A1 Arg213His might be one of the high risk factors for breast cancer in Asian women and in postmenopausal women for all
Hu, Yakun; Deng, Libing; Zhang, Jie; Fang, Xin; Mei, Puming; Cao, Xuebing; Lin, Jiari; Wei, Yi; Zhang, Xiong; Xu, Renshi
Genome-wide association studies (GWAS) on sporadic Parkinson's disease (sPD) are mainly conducted in European and American populations at present, and the Han populations of Chinese mainland (HPCM) almost have not been studied yet. Here, we conducted a pooling GWAS combining a pathway analysis with 862,198 autosomal single nucleotide polymorphisms of IlluminaHumanOmniZhongHua-8 in 250 sPD and 250 controls from HPCM precluded toxicant exposure, age, and heavy coffee drinking habit interference. We revealed that among the 22 potential loci implicated, PRDM2/KIAA1026 (kgp8090149), TSG1/MANEA (kgp154172), PDE10A (kgp8130520), MDGA2 (rs9323124), ATPBD4/LOC100288892 (kgp11333367), ZFP64/TSHZ2 (kgp4156164), PAQR3/ARD1B (kgp9482779), FLJ23172/FNDC3B (kgp760898), C18orf1 (kgp348599), FLJ43860/NCRNA00051 (kgp4105983), CYP1B1/C2orf58 (kgp11353523), WNT9A/LOC728728 (rs849898), ANXA1/LOC100130911 (rs10746953), FLJ35379/LOC100132423 (kgp9550589), PLEKHN1 (kgp7172368), DMRT2/SMARCA2 (kgp10769919), ZNF396/INO80C (rs1362858), C3orf67/LOC339902 (rs6783485), LOC285194/IGSF11 (rs1879553), FGF10/MRPS30 (rs13153459), BARX1/PTPDC1 (kgp6542803), and COL5 A2 (rs11186), the peak significance was at the kgp4105983 of FLJ43860 gene in chromosome 8, the first top strongest associated locus with sPD was PRDM2 (kgp8090149) in chromosome 1, and the 24 pathways including 100 significantly associated genes were strongly associated with sPD from HPCM. The 40 genes were shared by at least two pathways. The most possible associated pathways with sPD were axon guidance, ECM-receptor interaction, neuroactive ligand-receptor interaction, tight junction, focal adhesion, gap junction, long-term depression, drug metabolism-cytochrome P450, adherens junction, endocytosis, and protein digestion and absorption. Our results indicated that these loci, pathways, and their related genes might be involved in the pathogenesis of sPD from HPCM and provided some novel evidences for further searching the genetic
Wang, Zhaoming; Seow, Wei Jie; Shiraishi, Kouya; Hsiung, Chao A; Matsuo, Keitaro; Liu, Jie; Chen, Kexin; Yamji, Taiki; Yang, Yang; Chang, I-Shou; Wu, Chen; Hong, Yun-Chul; Burdett, Laurie; Wyatt, Kathleen; Chung, Charles C; Li, Shengchao A; Yeager, Meredith; Hutchinson, Amy; Hu, Wei; Caporaso, Neil; Landi, Maria T; Chatterjee, Nilanjan; Song, Minsun; Fraumeni, Joseph F; Kohno, Takashi; Yokota, Jun; Kunitoh, Hideo; Ashikawa, Kyota; Momozawa, Yukihide; Daigo, Yataro; Mitsudomi, Tetsuya; Yatabe, Yasushi; Hida, Toyoaki; Hu, Zhibin; Dai, Juncheng; Ma, Hongxia; Jin, Guangfu; Song, Bao; Wang, Zhehai; Cheng, Sensen; Yin, Zhihua; Li, Xuelian; Ren, Yangwu; Guan, Peng; Chang, Jiang; Tan, Wen; Chen, Chien-Jen; Chang, Gee-Chen; Tsai, Ying-Huang; Su, Wu-Chou; Chen, Kuan-Yu; Huang, Ming-Shyan; Chen, Yuh-Min; Zheng, Hong; Li, Haixin; Cui, Ping; Guo, Huan; Xu, Ping; Liu, Li; Iwasaki, Motoki; Shimazu, Taichi; Tsugane, Shoichiro; Zhu, Junjie; Jiang, Gening; Fei, Ke; Park, Jae Yong; Kim, Yeul Hong; Sung, Jae Sook; Park, Kyong Hwa; Kim, Young Tae; Jung, Yoo Jin; Kang, Chang Hyun; Park, In Kyu; Kim, Hee Nam; Jeon, Hyo-Sung; Choi, Jin Eun; Choi, Yi Young; Kim, Jin Hee; Oh, In-Jae; Kim, Young-Chul; Sung, Sook Whan; Kim, Jun Suk; Yoon, Ho-Il; Kweon, Sun-Seog; Shin, Min-Ho; Seow, Adeline; Chen, Ying; Lim, Wei-Yen; Liu, Jianjun; Wong, Maria Pik; Lee, Victor Ho Fun; Bassig, Bryan A; Tucker, Margaret; Berndt, Sonja I; Chow, Wong-Ho; Ji, Bu-Tian; Wang, Junwen; Xu, Jun; Sihoe, Alan Dart Loon; Ho, James C M; Chan, John K C; Wang, Jiu-Cun; Lu, Daru; Zhao, Xueying; Zhao, Zhenhong; Wu, Junjie; Chen, Hongyan; Jin, Li; Wei, Fusheng; Wu, Guoping; An, She-Juan; Zhang, Xu-Chao; Su, Jian; Wu, Yi-Long; Gao, Yu-Tang; Xiang, Yong-Bing; He, Xingzhou; Li, Jihua; Zheng, Wei; Shu, Xiao-Ou; Cai, Qiuyin; Klein, Robert; Pao, William; Lawrence, Charles; Hosgood, H Dean; Hsiao, Chin-Fu; Chien, Li-Hsin; Chen, Ying-Hsiang; Chen, Chung-Hsing; Wang, Wen-Chang; Chen, Chih-Yi; Wang, Chih-Liang; Yu, Chong-Jen; Chen, Hui-Ling; Su, Yu-Chun; Tsai, Fang-Yu; Chen, Yi-Song; Li, Yao-Jen; Yang, Tsung-Ying; Lin, Chien-Chung; Yang, Pan-Chyr; Wu, Tangchun; Lin, Dongxin; Zhou, Baosen; Yu, Jinming; Shen, Hongbing; Kubo, Michiaki; Chanock, Stephen J; Rothman, Nathaniel; Lan, Qing
Genome-wide association studies (GWAS) of lung cancer in Asian never-smoking women have previously identified six susceptibility loci associated with lung cancer risk. To further discover new susceptibility loci, we imputed data from four GWAS of Asian non-smoking female lung cancer (6877 cases and 6277 controls) using the 1000 Genomes Project (Phase 1 Release 3) data as the reference and genotyped additional samples (5878 cases and 7046 controls) for possible replication. In our meta-analysis, three new loci achieved genome-wide significance, marked by single nucleotide polymorphism (SNP) rs7741164 at 6p21.1 (per-allele odds ratio (OR) = 1.17; P = 5.8 × 10(-13)), rs72658409 at 9p21.3 (per-allele OR = 0.77; P = 1.41 × 10(-10)) and rs11610143 at 12q13.13 (per-allele OR = 0.89; P = 4.96 × 10(-9)). These findings identified new genetic susceptibility alleles for lung cancer in never-smoking women in Asia and merit follow-up to understand their biological underpinnings. PMID:26732429
Spencer T. Plumb
Full Text Available The REDD Programme is predicated on the assumption that developed countries will provide sufficient funds to offset opportunity costs associated with avoiding deforestation. The role of non-market values in indigenous land management may challenge the efficacy of compensation schemes targeted at meeting opportunity costs as calculated in traditional opportunity cost analysis (OCA. Furthermore it is unclear how these economic incentives might affect social and cultural values linked to land-use norms, livelihoods, and local governance. This study explores the economic, social and cultural values of forest uses for a Miskito community in the Rio Plátano Biosphere Reserve in Honduras. Data were collected using household surveys, farm visits, and community workshops. OCA indicates potential for successful REDD+ payment schemes; however it is an inadequate method to account for subsistence and cultural opportunity costs associated with avoided deforestation. Compensation to change land-use practices may undermine governance institutions necessary to address deforestation in the region. Our results indicate that small-scale agriculture and other forest-based subsistence activities are important cultural practices for maintaining Miskito identity and forest management institutions. Recommendations are offered for using OCA to develop REDD+ projects that recognize the linkages between social and cultural values and forest management by focusing on approaches that consider a full range of economic, social and cultural opportunity costs.
Wang, Jia; Li, Li; Shao, Shan-Shan; He, Zhen; Chen, Yan-Lin; Kong, Rui; Zhang, Xiao-Hui; Gong, Jian-Hua; Song, Ran-Ran
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by high heritability. Recently, autism, the most profound form of ASD, has been increasingly attributed to synaptic abnormalities. Postsynaptic density 95 (PSD95), encoding PSD protein-95, was found essential for synaptic formation, maturation and plasticity at a PSD of excitatory synapse. It is possibly a crucial candidate gene for the pathogenesis of ASD. To identify the relationship between the rs13331 of PSD95 gene and ASD, we performed a case-control study in 212 patients and 636 controls in a Chinese population by using a polymerase chain reaction-restriction fragment length polymerase (PCR-RFLP) assay. The results showed that in genetic analysis of the heterozygous model, an association between the T allele of the rs13331 and ASD was found in the dominant model (OR=1.709, 95% CI 1.227-2.382, P=0.002) and the additive model (OR=1.409, 95% CI=1.104-1.800, P=0.006). Our data indicate that the genetic mutation C>T at the rs13331 in the PSD95 gene is strikingly associated with an increased risk of ASD. PMID:27072977
Cities consume 80% of the world's energy; therefore, analyzing urban energy metabolism and the resulting carbon footprint provides basic data for formulating target carbon emission reductions. While energy metabolism includes both direct and indirect consumptions among sectors, few researchers have studied indirect consumption due to a lack of data. In this study, we used input–output analysis to calculate the energy flows among directly linked sectors. Building on this, we used ecological network analysis to develop a model of urban energy flows and also account for energy consumption embodied by the flows among indirectly linked sectors (represented numerically as paths with a length of 2 or more). To illustrate the model, monetary input–output tables for Beijing from 2000 to 2010 were analyzed to determine the embodied energy consumption and associated carbon footprints of these sectors. This analysis reveals the environmental pressure based on the source (energy consumption) and sink (carbon footprint) values. Indirect consumption was Beijing's primary form, and the carbon footprint therefore resulted mainly from indirect consumption (both accounting for ca. 60% of the total, though with considerable variation among sectors). To reduce emissions, the utilization efficiency of indirect consumption must improve. - Highlights: • We quantified the embodied energy transfers among Beijing's socioeconomic sectors. • We calculated the sectors' intensity of energy consumption and carbon footprint. • The indirect energy consumption was higher than the direct for all sectors. • The high-indirect-consumption sectors are at the end of industrial supply chains. • High-indirect-consumption sectors can improve upstream products energy efficiency
Full Text Available OBJECTIVE: Controversy exists in using alanine aminotransferase (ALT activity for predicting long-term survival. Therefore, this research study investigated the association between ALT activity and mortality through a systematic review and meta-analysis of previous prospective studies. METHODS: Electronic literature databases, including PubMed, Embase, and the Institute for Scientific Information (ISI, were searched for relevant prospective observational studies (published before Dec 30, 2013 on the association between baseline ALT activity and ensuing all-cause/disease-specific mortality. Information on nationality, sample size, participant characteristics, follow-up duration, comparison, outcome assessment, hazard ratios (HRs and adjusted covariates was extracted. Pooled HRs and corresponding 95% confidence intervals (CIs were separately calculated for categorical risk estimates (highest vs. lowest ALT categories and continuous risk estimates (per 5 U/l of ALT increment in subgroups separated by age (<70/≥ 70 years. RESULTS: A total of twelve prospective cohort studies, totaling 206,678 participants and 16,249 deaths, were identified and analyzed. In the younger age group, the pooled HR for mortality related to liver-disease was about 1.24 (95% CI: 1.23-1.25 per 5 U/l of ALT increment. The dose-response HRs of all-cause mortality, cardiovascular (CV disease-related mortality, and cancer-related mortality were 0.91 (0.88-0.94, 0.91 (0.85-0.96, 0.92 (0.86-0.98 respectively per 5 U/l of ALT elevation, with insignificant heterogeneity in the older population. There was an approximate decrease of 4‰ observed on HRs of all-cause, CV-related, and cancer-related mortality followed with one year's increment through meta-regression (all P<0.05. CONCLUSIONS: The ALT-mortality association was inconsistent and seems particularly susceptible to age after synthesizing the previous prospective studies. In terms of the age, ALT activity was more valuable
Bisson, Michèle; Lavoie-Guénette, Joëlle; Tremblay, Angelo; Marc, Isabelle
Objective This study aims to examine the association between different maternal physical activity exposures during pregnancy and infant's birth weight, body composition, and risk of inadequate weight. Methods Two reviewers (M.B. and J.L.G.) identified observational studies reporting total or leisure time activity during pregnancy and birth weight outcomes. Pooled analyses were performed to summarize the risk associated with high or moderate volumes of physical activity on birth weight. Results A total of 54 studies among 4,080 reported the association between physical activity and birth weight (37 studies) or risks of small or large birth weight. The association between physical activity and birth weight was evaluated by physical activity levels (low, moderate, or high). Despite heterogeneity, pooled results (23 studies) suggested that moderate levels of activity are associated with an increased birth weight (mean difference: 61.5 g, 95% confidence interval [CI]: 16.6, 106.5, 15 studies), while high levels were associated with lower birth weight (mean difference: −69.9 g, 95% CI: −114.8, −25.0, 15 studies). Data were insufficient to provide robust estimates for other outcomes. Conclusions The results of observational studies suggest an inverted u-shaped association between physical activity and birth weight, despite methodological variability. These results could help refining physical activity guidelines for pregnancy and provide guidance for future research. PMID:27127718
Genin, E.; Clerget-Darpous, F. [Institut National d`Etudes Demographiques, Paris (France)
To study the genetic determinism of multifactorial diseases in large panmictic populations, a strategy consists in looking for an association with markers closely linked to candidate genes. A distribution of marker genotypes different in patients and controls may indicate that the candidate gene is involved in the disease. In panmictic populations, the power to detect the role of a candidate gene depends on the gametic disequilibrium with the marker locus. In consanguineous populations, we show that it depends on the inbreeding coefficient F as well. Inbreeding increases the power to detect the role of a recessive or quasi-recessive disease-susceptibility factor. The gain in power turns out to be greater for small values of the gametic disequilibrium. Moreover, even in the absence of gametic disequilibrium, the presence of inbreeding may allow to detect the role of a recessive factor. Ignoring inbreeding when it exists may lead to reject falsely a recessive model if the mode of inheritance is inferred on the distribution of genotypes among patients. 5 refs., 6 figs., 1 tab.
Full Text Available Abstract Background Advancement in gene profiling techniques makes it possible to measure expressions of thousands of genes and identify genes associated with development and progression of cancer. The identified cancer-associated genes can be used for diagnosis, prognosis prediction, and treatment selection. Most existing cancer microarray studies have been focusing on the identification of genes associated with a specific type of cancer. Recent biomedical studies suggest that different cancers may share common susceptibility genes. A comprehensive description of the associations between genes and cancers requires identification of not only multiple genes associated with a specific type of cancer but also genes associated with multiple cancers. Results In this article, we propose the Mc.TGD (Multi-cancer Threshold Gradient Descent, an integrative analysis approach capable of analyzing multiple microarray studies on different cancers. The Mc.TGD is the first regularized approach to conduct "two-dimensional" selection of genes with joint effects on cancer development. Simulation studies show that the Mc.TGD can more accurately identify genes associated with multiple cancers than meta analysis based on "one-dimensional" methods. As a byproduct, identification accuracy of genes associated with only one type of cancer may also be improved. We use the Mc.TGD to analyze seven microarray studies investigating development of seven different types of cancers. We identify one gene associated with six types of cancers and four genes associated with five types of cancers. In addition, we also identify 11, 9, 18, and 17 genes associated with 4 to 1 types of cancers, respectively. We evaluate prediction performance using a Leave-One-Out cross validation approach and find that only 4 (out of 570 subjects cannot be properly predicted. Conclusion The Mc.TGD can identify a short list of genes associated with one or multiple types of cancers. The identified genes
Filipiak, Wojciech; Beer, Ronny; Sponring, Andreas; Filipiak, Anna; Ager, Clemens; Schiefecker, Alois; Lanthaler, Simon; Helbok, Raimund; Nagl, Markus; Troppmair, Jakob; Amann, Anton
Existing methods for the early detection of infections in mechanically ventilated (MV) patients at intensive care units (ICUs) are unsatisfactory. Here we present an exploratory study assessing the feasibility of breath VOC analyses for the non-invasive detection of pathogens in the lower respiratory tract of ventilated patients. An open uncontrolled clinical pilot study was performed by enrolling 28 mechanically ventilated (MV) patients with severe intracranial disease, being at risk for the development of or already with confirmed ventilation-associated pneumonia (VAP). The recently developed sampling technique enabled the collection of breath gas with a maximized contribution of alveolar air directly from the respiratory circuit under continuous capnography control, adsorptive preconcentration and final analysis by means of gas chromatography-mass spectrometry (GC-MS).VAP was confirmed in 22/28 preselected patients (78%). The most common microorganisms were Staphylococcus aureus (5/22 VAP patients), Escherichia coli (5/22 VAP patients) and Candida spp. (5/22 VAP patients). 12/32 metabolites released by S. aureus in our previous in vitro studies were also detected in the end-tidal air of VAP patients infected with this pathogen. A similar overlap was seen in Candida albicans infections (8/29 VOCs). Moreover, the concentration profile of selected compounds correlated with the course of the infection.This prospective pilot study provides proof of the concept that the appearance and the concentration profile of pathogen-derived metabolites (elucidated from in vitro experiments) in the breath of ventilated patients during clinically confirmed VAP correlates with the presence of a particular pathogen. PMID:25557917
Wei; Guo; Jie; Zhang; Jing-yun; Li; Yue; Ma; Sheng-hui; Cui
Objective A prospective study was conducted in a tertiary care center to identify the risk factors of ventilator associated pneumonia(VAP) through phenotypic and molecular biological methods. Methods The patients who were mechanically ventilated in the respiratory intensive care unit(RICU) and the neurological internal intensive care unit(NICU) were enrolled in our study, and samples were collected from the lower respiratory tract, oropharynx and stomach. Other samples, including the environmental air, swabs of nurses’ hands, subglottic secretion and ventilator circuit, were also collected. Microorganisms in the collected samples were recovered and identified at species level by biochemical detection. Genetic relationship of dominant species was further characterized by pulsed field gel electrophoresis(PFGE). Results Out of 48 enrolled patients, 22 cases developed VAP and bacterial cultures were recovered from the lower respiratory tract samples of 14 cases. The average hospitalization time with VAP was significantly longer than that of patients without VAP(P < 0.05). Among the recovered bacteria cultures, multidrug-resistant Pseudomonas aeruginosa and Stenotrophomonas maltophilia were dominant. It was more likely that subglottic secretion and gastric juice samples contained the same isolates as recovered in the lower respiratory tract by PFGE analysis. Conclusions Mechanical ventilation in RICU and NICU was a high risk factor for VAP development. Special emphasis of VAP prophylaxis should be paid on subglottic secretion and gastric juice reflux.
Bing-Qu Deng; Yong Liang
Objective:To investigate the clinical analysis associated pneumonia in elderly ventilator. Methods:Through January 2011 to December 2013 in our hospital 165 cases of ventilator therapy in elderly patients with clinical data were retrospectively analyzed, discussed ventilator-associated pneumonia in the elderly risk factors, clinical symptoms, and the distribution of pathogens analysis of drug resistance.Results: The patient's age, sex, APACHE score, the incidence of aspiration, sedation and antacids, ventilator time were higher in patients (P<0.05); pathogens of ventilator-associated pneumonia in the elderly by high to low order of Pseudomonas aerations, Acinetobacter sop, etc.; pathogens commonly used in clinical antimicrobial drug resistance is higher.Conclusion:Take the risk factors associated pneumonia ventilator for elderly corresponding measures to reduce the incidence of ventilator-associated pneumonia, which Gram-negative bacteria as cause of ventilator-associated pneumonia in the elderly is an important pathogen occurs, the clinical course of treatment should be combined with a reasonable choice of antimicrobial susceptibility testing.
The work oriented towards assessment of environmental risk associated with the emission of fly-ash into atmosphere and its storage on solid waste depositories included: 1. Elaboration of the INAA procedure for the determination of 20-24 elements in the fly-ashes. This method was next used for the analysis of fly-ashes from three different Polish power stations working on hard coal. 2. Studies on leaching of trace elements from neutron irradiated fly-ash by water and H2SO4 solution (pH=2.5) simulating acid rain. The results were compared with analogous experiments in which elements leached from non-irradiated fly-ash were determined by AAS and spectrophotometry. 3. Preparation and certification on the basis of an international intercomparison of the new Polish CRM - fine fly-ash (CTA-FFA-1). Although the certification is still not completed it is almost certain that it will be possible to establish ''recommended values'' for at least 34 elements and ''information values'' for another 10 to 16 ones. (author). 11 refs, 5 figs, 4 tabs
Changyi Wang; Sihan Chen; Tao Zhang; Zhongwei Chen; Shengyuan Liu; Xiaolin Peng; Jianping Ma; Xiaohong Zhong; Yanqiong Yan; Linlin Tang; Yifeng Mai; Liyuan Han; Shiwei Duan
Background. Controversy remains for the association between hepatocyte nuclear factor 4α (HNF-4α) P2 promoter polymorphism rs1884613 and type 2 diabetes (T2D). There was no association test of this polymorphism with prediabetes and T2D in the Chinese population. Moreover, an updated meta-analysis in various ethnic groups is needed to establish the contribution of rs1884613 to T2D risk. Methods. Using the Sequenom MassARRAY platform approach, we genotyped rs1884613 of HNF-4α in the P2 promoter...
Mägi Reedik; Morris Andrew P
Abstract Background Despite the recent success of genome-wide association studies in identifying novel loci contributing effects to complex human traits, such as type 2 diabetes and obesity, much of the genetic component of variation in these phenotypes remains unexplained. One way to improving power to detect further novel loci is through meta-analysis of studies from the same population, increasing the sample size over any individual study. Although statistical software analysis packages in...
Conroy, Shannon M; Koga, Karin; Woolcott, Christy G.; Dahl, Timothy; Byrne, Celia; Nagata, Chisato; Ursin, Giske; Yaffe, Martin J.; Vachon, Celine M.; Maskarinec, Gertraud
Alcohol consumption and mammographic density are established risk factors for breast cancer. This study examined whether the association of mammographic density with breast cancer varies by alcohol intake. Mammographic density was assessed in digitized images for 1,207 cases and 1,663 controls from three populations (Japan, Hawaii, California) using a computer-assisted method. Associations were estimated by logistic regression. When comparing ever to never drinking, mean density was similar a...
Vassos, Evangelos; Steinberg, Stacy; Cichon, Sven; Breen, Gerome; Sigurdsson, Engilbert; Andreassen, Ole A; Djurovic, Srdjan; Morken, Gunnar; Grigoroiu-Serbanescu, Maria; Diaconu, Carmen C; Czerski, Piotr M; Hauser, Joanna; Babadjanova, Gulja; Abramova, Lilia I; Mühleisen, Thomas W; Nöthen, Markus M; Rietschel, Marcella; McGuffin, Peter; Clair, David St; Gustafsson, Omar; Melle, Ingrid; Pietiläinen, Olli P H; Ruggeri, Mirella; Tosato, Sarah; Werge, Thomas; Ophoff, Roel A; Rujescu, Dan; Børglum, Anders D; Mors, Ole; Mortensen, Preben B; Demontis, Ditte; Hollegaard, Mads V; van Winkel, Ruud; Kenis, Gunter; De Hert, Marc; Réthelyi, János M; Bitter, István; Rubino, I Alex; Golimbet, Vera; Kiemeney, Lambertus A; van den Berg, Leonard H; Franke, Barbara; Jönsson, Erik G; Farmer, Anne; Stefansson, Hreinn; Stefansson, Kari; Collier, David A
Common genetic polymorphisms at chromosome 3p21.1, including rs2251219 in polybromo 1 (PBRM1), have been implicated in susceptibility to bipolar affective disorder (BP) through genome-wide association studies. Subsequent studies have suggested that this is also a risk locus for other psychiatric ...... phenotypes, including major depression and schizophrenia....
Krushna Chandra Sahoo
Full Text Available Skin and soft tissue infections caused by Staphylococcus aureus (SA-SSTIs including methicillin-resistant Staphylococcus aureus (MRSA have experienced a significant surge all over the world. Changing climatic factors are affecting the global burden of dermatological infections and there is a lack of information on the association between climatic factors and MRSA infections. Therefore, association of temperature and relative humidity (RH with occurrence of SA-SSTIs (n = 387 and also MRSA (n = 251 was monitored for 18 months in the outpatient clinic at a tertiary care hospital located in Bhubaneswar, Odisha, India. The Kirby-Bauer disk diffusion method was used for antibiotic susceptibility testing. Time-series analysis was used to investigate the potential association of climatic factors (weekly averages of maximum temperature, minimum temperature and RH with weekly incidence of SA-SSTIs and MRSA infections. The analysis showed that a combination of weekly average maximum temperature above 33 °C coinciding with weekly average RH ranging between 55% and 78%, is most favorable for the occurrence of SA-SSTIs and MRSA and within these parameters, each unit increase in occurrence of MRSA was associated with increase in weekly average maximum temperature of 1.7 °C (p = 0.044 and weekly average RH increase of 10% (p = 0.097.
Cari M Kitahara
Full Text Available BACKGROUND: The prevalence of class III obesity (body mass index [BMI]≥40 kg/m2 has increased dramatically in several countries and currently affects 6% of adults in the US, with uncertain impact on the risks of illness and death. Using data from a large pooled study, we evaluated the risk of death, overall and due to a wide range of causes, and years of life expectancy lost associated with class III obesity. METHODS AND FINDINGS: In a pooled analysis of 20 prospective studies from the United States, Sweden, and Australia, we estimated sex- and age-adjusted total and cause-specific mortality rates (deaths per 100,000 persons per year and multivariable-adjusted hazard ratios for adults, aged 19-83 y at baseline, classified as obese class III (BMI 40.0-59.9 kg/m2 compared with those classified as normal weight (BMI 18.5-24.9 kg/m2. Participants reporting ever smoking cigarettes or a history of chronic disease (heart disease, cancer, stroke, or emphysema on baseline questionnaires were excluded. Among 9,564 class III obesity participants, mortality rates were 856.0 in men and 663.0 in women during the study period (1976-2009. Among 304,011 normal-weight participants, rates were 346.7 and 280.5 in men and women, respectively. Deaths from heart disease contributed largely to the excess rates in the class III obesity group (rate differences = 238.9 and 132.8 in men and women, respectively, followed by deaths from cancer (rate differences = 36.7 and 62.3 in men and women, respectively and diabetes (rate differences = 51.2 and 29.2 in men and women, respectively. Within the class III obesity range, multivariable-adjusted hazard ratios for total deaths and deaths due to heart disease, cancer, diabetes, nephritis/nephrotic syndrome/nephrosis, chronic lower respiratory disease, and influenza/pneumonia increased with increasing BMI. Compared with normal-weight BMI, a BMI of 40-44.9, 45-49.9, 50-54.9, and 55-59.9 kg/m2 was associated with an
Wu, Kana; Spiegelman, Donna; Hou, Tao; Albanes, Demetrius; Allen, Naomi E; Berndt, Sonja I; van den Brandt, Piet A; Giles, Graham G; Giovannucci, Edward; Alexandra Goldbohm, R; Goodman, Gary G; Goodman, Phyllis J; Håkansson, Niclas; Inoue, Manami; Key, Timothy J; Kolonel, Laurence N; Männistö, Satu; McCullough, Marjorie L; Neuhouser, Marian L; Park, Yikyung; Platz, Elizabeth A; Schenk, Jeannette M; Sinha, Rashmi; Stampfer, Meir J; Stevens, Victoria L; Tsugane, Shoichiro; Visvanathan, Kala; Wilkens, Lynne R; Wolk, Alicja; Ziegler, Regina G; Smith-Warner, Stephanie A
Reports relating meat intake to prostate cancer risk are inconsistent. Associations between these dietary factors and prostate cancer were examined in a consortium of 15 cohort studies. During follow-up, 52,683 incident prostate cancer cases, including 4,924 advanced cases, were identified among 842,149 men. Cox proportional hazard models were used to calculate study-specific relative risks (RR) and then pooled using random effects models. Results do not support a substantial effect of total red, unprocessed red and processed meat for all prostate cancer outcomes, except for a modest positive association for tumors identified as advanced stage at diagnosis (advanced(r)). For seafood, no substantial effect was observed for prostate cancer regardless of stage or grade. Poultry intake was inversely associated with risk of advanced and fatal cancers (pooled multivariable RR [MVRR], 95% confidence interval, comparing ≥45 vs. red meat and egg intake, and inverse associations between poultry intake and advanced, advanced(r) and fatal cancers were limited to North American studies. However, differences were only statistically significant for eggs. Observed differences in associations by geographical region warrant further investigation. PMID:26685908
Wu, Kana; Spiegelman, Donna; Hou, Tao; Albanes, Demetrius; Allen, Naomi E.; Berndt, Sonja I.; van den Brandt, Piet A.; Giles, Graham G.; Giovannucci, Edward; Goldbohm, R. Alexandra; Goodman, Gary G.; Goodman, Phyllis J.; Håkansson, Niclas; Inoue, Manami; Key, Timothy J.; Kolonel, Laurence N.; Männistö, Satu; McCullough, Marjorie L.; Neuhouser, Marian L.; Park, Yikyung; Platz, Elizabeth A.; Schenk, Jeannette M.; Sinha, Rashmi; Stampfer, Meir J.; Stevens, Victoria L.; Tsugane, Shoichiro; Visvanathan, Kala; Wilkens, Lynne R.; Wolk, Alicja; Ziegler, Regina G.; Smith-Warner, Stephanie A.
Reports relating meat intake to prostate cancer risk are inconsistent. Associations between these dietary factors and prostate cancer were examined in a consortium of 15 cohort studies. During follow-up, 52, 683 incident prostate cancer cases, including 4,924 advanced cases, were identified among 842, 149 men. Cox proportional hazard models were used to calculate study-specific relative risks (RR) and then pooled using random effects models. Results do not support a substantial effect of total red, unprocessed red and processed meat for all prostate cancer outcomes, except for a modest positive association for tumors identified as advanced stage at diagnosis (advanced(r)). For seafood, no substantial effect was observed for prostate cancer regardless of stage or grade. Poultry intake was inversely associated with risk of advanced and fatal cancers (pooled multivariable RR [MVRR], 95% confidence interval, comparing ≥45 vs. meat and egg intake, and inverse associations between poultry intake and advanced, advanced(r) and fatal cancers were limited to North American studies. However, differences were only statistically significant for eggs. Observed differences in associations by geographical region warrant further investigation. PMID:26685908
Wang, Shuai; Zhao, Jing Hua; An, Ping; Guo, Xiuqing; Jensen, Richard A; Marten, Jonathan; Huffman, Jennifer E; Meidtner, Karina; Boeing, Heiner; Campbell, Archie; Rice, Kenneth M; Scott, Robert A; Yao, Jie; Schulze, Matthias B; Wareham, Nicholas J; Borecki, Ingrid B; Province, Michael A; Rotter, Jerome I; Hayward, Caroline; Goodarzi, Mark O; Meigs, James B; Dupuis, Josée
For complex traits, most associated single nucleotide variants (SNV) discovered to date have a small effect, and detection of association is only possible with large sample sizes. Because of patient confidentiality concerns, it is often not possible to pool genetic data from multiple cohorts, and meta-analysis has emerged as the method of choice to combine results from multiple studies. Many meta-analysis methods are available for single SNV analyses. As new approaches allow the capture of low frequency and rare genetic variation, it is of interest to jointly consider multiple variants to improve power. However, for the analysis of haplotypes formed by multiple SNVs, meta-analysis remains a challenge, because different haplotypes may be observed across studies. We propose a two-stage meta-analysis approach to combine haplotype analysis results. In the first stage, each cohort estimate haplotype effect sizes in a regression framework, accounting for relatedness among observations if appropriate. For the second stage, we use a multivariate generalized least square meta-analysis approach to combine haplotype effect estimates from multiple cohorts. Haplotype-specific association tests and a global test of independence between haplotypes and traits are obtained within our framework. We demonstrate through simulation studies that we control the type-I error rate, and our approach is more powerful than inverse variance weighted meta-analysis of single SNV analysis when haplotype effects are present. We replicate a published haplotype association between fasting glucose-associated locus (G6PC2) and fasting glucose in seven studies from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium and we provide more precise haplotype effect estimates. PMID:27027517
Stambolian, Dwight; Wojciechowski, Robert; Oexle, Konrad; Pirastu, Mario; Li, Xiaohui; Raffel, Leslie J.; Cotch, Mary Frances; Chew, Emily Y.; Klein, Barbara; Klein, Ronald; Wong, Tien Y.; Simpson, Claire L.; Klaver, Caroline C. W.; van Duijn, Cornelia M.; Verhoeven, Virginie J. M.
Visual refractive errors (REs) are complex genetic traits with a largely unknown etiology. To date, genome-wide association studies (GWASs) of moderate size have identified several novel risk markers for RE, measured here as mean spherical equivalent (MSE). We performed a GWAS using a total of 7280 samples from five cohorts: the Age-Related Eye Disease Study (AREDS); the KORA study (‘Cooperative Health Research in the Region of Augsburg’); the Framingham Eye Study (FES); the Ogliastra Genetic...
Associations of pregnancy-associated plasma protein-A level with essential hypertension and hypertensive disorders in pregnancy in Chinese population: a meta-analysis of 20 research studies involving 3332 individuals
Cai, Gaojun; Zhang, Bifeng; Weng, Weijin; Yang, Liping; Shi, Ganwei; Xue, Sheliang; Fu, Xingli
Objective To explore the associations between serum pregnancy-associated plasma protein-A (PAPP-A) level, and essential hypertension (EH) and hypertensive disorders in pregnancy (HDP) in Chinese population. Methods Pertinent studies were independently searched in PubMed, Embase, Cochrane Library, Chinese Biomedical Database (CBM), Wanfang databases and China National Knowledge Infrastructure (CNKI). The standardised mean difference (SMD) with 95% CIs was used to estimate the size of the effec...
Wormser, David; Kaptoge, Stephen; Di Angelantonio, Emanuele; Wood, Angela M; Pennells, Lisa; Thompson, Alex; Sarwar, Nadeem; Kizer, Jorge R; Lawlor, Debbie A; Nordestgaard, Børge G; Ridker, Paul; Salomaa, Veikko; Stevens, June; Woodward, Mark; Sattar, Naveed; Collins, Rory; Thompson, Simon G; Whitlock, Gary; Danesh, John; Tybjærg-Hansen, Anne; Frikke-Schmidt, Ruth
Guidelines differ about the value of assessment of adiposity measures for cardiovascular disease risk prediction when information is available for other risk factors. We studied the separate and combined associations of body-mass index (BMI), waist circumference, and waist-to-hip ratio with risk of...
Wormser, David; Kaptoge, Stephen; Di Angelantonio, Emanuele;
Guidelines differ about the value of assessment of adiposity measures for cardiovascular disease risk prediction when information is available for other risk factors. We studied the separate and combined associations of body-mass index (BMI), waist circumference, and waist-to-hip ratio with risk ...
Kapoor, Manav; Wang, Jen-Chyong; Wetherill, Leah; Le, Nhung; Bertelsen, Sarah; Hinrichs, Anthony L.; Budde, John; Agrawal, Arpana; Bucholz, Kathleen; Dick, Danielle; Harari, Oscar; Hesselbrock, Victor; Kramer, John; Nurnberger, John I.; Rice, John,
Maximum number of alcoholic drinks consumed in a 24-h period (maxdrinks) is a heritable (> 50%) trait and is strongly correlated with vulnerability to excessive alcohol consumption and subsequent alcohol dependence (AD). Several genome-wide association studies (GWAS) have studied alcohol dependence, but few have concentrated on excessive alcohol consumption. We performed two GWAS using maxdrinks as an excessive alcohol consumption phenotype: one in 118 extended families (N=2322) selected from...
Claire M. Marchetta; Devine, Owen J.; Krista S Crider; Tsang, Becky L.; Amy M. Cordero; Yan Ping Qi; Jing Guo; Berry, Robert J; Jorge Rosenthal; Joseph Mulinare; Patricia Mersereau; Hamner, Heather C.
Folate is found naturally in foods or as synthetic folic acid in dietary supplements and fortified foods. Adequate periconceptional folic acid intake can prevent neural tube defects. Folate intake impacts blood folate concentration; however, the dose-response between natural food folate and blood folate concentrations has not been well described. We estimated this association among healthy females. A systematic literature review identified studies (1 1992–3 2014) with both natural food folat...
Eskola, Pasi J; Lemmelä, Susanna; Kjær, Per;
Low back pain is associated with lumbar disc degeneration, which is mainly due to genetic predisposition. The objective of this study was to perform a systematic review to evaluate genetic association studies in lumbar disc degeneration as defined on magnetic resonance imaging (MRI) in humans....
Murphy Melissa L
Full Text Available Abstract Fractional anisotropy anomalies occurring in the white matter tracts in the brains of depressed patients may reflect microstructural changes underlying the pathophysiology of this disorder. We conducted a meta-analysis of fractional anisotropy abnormalities occurring in major depressive disorder using voxel-based diffusion tensor imaging studies. Using the Embase, PubMed and Google Scholar databases, 89 relevant data sets were identified, of which 7 (including 188 patients with major depressive disorder and 221 healthy controls met our inclusion criteria. Authors were contacted to retrieve any additional data required. Coordinates were extracted from clusters of significant white matter fractional anisotropy differences between patients and controls. Relevant demographic, clinical and methodological variables were extracted from each study or obtained directly from authors. The meta-analysis was carried out using Signed Differential Mapping. Patients with depression showed decreased white matter fractional anisotropy values in the superior longitudinal fasciculus and increased fractional anisotropy values in the fronto-occipital fasciculus compared to controls. Using quartile and jackknife sensitivity analysis, we found that reduced fractional anisotropy in the left superior longitudinal fasciculus was very stable, with increases in the right fronto-occipital fasciculus driven by just one study. In conclusion, our meta-analysis revealed a significant reduction in fractional anisotropy values in the left superior longitudinal fasciculus, which may ultimately play an important role in the pathology of depression.
Murphy, Melissa L
Abstract Fractional anisotropy anomalies occurring in the white matter tracts in the brains of depressed patients may reflect microstructural changes underlying the pathophysiology of this disorder. We conducted a meta-analysis of fractional anisotropy abnormalities occurring in major depressive disorder using voxel-based diffusion tensor imaging studies. Using the Embase, PubMed and Google Scholar databases, 89 relevant data sets were identified, of which 7 (including 188 patients with major depressive disorder and 221 healthy controls) met our inclusion criteria. Authors were contacted to retrieve any additional data required. Coordinates were extracted from clusters of significant white matter fractional anisotropy differences between patients and controls. Relevant demographic, clinical and methodological variables were extracted from each study or obtained directly from authors. The meta-analysis was carried out using Signed Differential Mapping. Patients with depression showed decreased white matter fractional anisotropy values in the superior longitudinal fasciculus and increased fractional anisotropy values in the fronto-occipital fasciculus compared to controls. Using quartile and jackknife sensitivity analysis, we found that reduced fractional anisotropy in the left superior longitudinal fasciculus was very stable, with increases in the right fronto-occipital fasciculus driven by just one study. In conclusion, our meta-analysis revealed a significant reduction in fractional anisotropy values in the left superior longitudinal fasciculus, which may ultimately play an important role in the pathology of depression.
Murphy, Melissa L
Fractional anisotropy anomalies occurring in the white matter tracts in the brains of depressed patients may reflect microstructural changes underlying the pathophysiology of this disorder. We conducted a meta-analysis of fractional anisotropy abnormalities occurring in major depressive disorder using voxel-based diffusion tensor imaging studies. Using the Embase, PubMed and Google Scholar databases, 89 relevant data sets were identified, of which 7 (including 188 patients with major depressive disorder and 221 healthy controls) met our inclusion criteria. Authors were contacted to retrieve any additional data required. Coordinates were extracted from clusters of significant white matter fractional anisotropy differences between patients and controls. Relevant demographic, clinical and methodological variables were extracted from each study or obtained directly from authors. The meta-analysis was carried out using Signed Differential Mapping. Patients with depression showed decreased white matter fractional anisotropy values in the superior longitudinal fasciculus and increased fractional anisotropy values in the fronto-occipital fasciculus compared to controls. Using quartile and jackknife sensitivity analysis, we found that reduced fractional anisotropy in the left superior longitudinal fasciculus was very stable, with increases in the right fronto-occipital fasciculus driven by just one study. In conclusion, our meta-analysis revealed a significant reduction in fractional anisotropy values in the left superior longitudinal fasciculus, which may ultimately play an important role in the pathology of depression.
Explicit associative-semantic processing of words and pictures activates a distributed set of brain areas that has been replicated across a wide range of studies. In our lab we have already a long tradition to study these regions in normal subjects as well as in different patient populations. Until recently, these studies were mainly focusing at the regional level, less is known about how information is integrated and transfered between regions. Brain network analysis is a promising tool to i...
Ali, Shehzad; Paracha, Noman; Cook, Stuart;
home visits during each study period. Societal resource use and productivity outcomes included mean number of hours and days of paid assistance, mean patient and carer work days missed, and self-reported productivity. Results: The mean number of hospital days per patient over 96 weeks was lower in the......Background: Multiple sclerosis (MS) is a common, chronic, neurodegenerative condition associated with substantial healthcare and societal economic burden. Disease-modifying MS treatments have the potential to reduce health resource utilization (HRU), thereby reducing the attendant socioeconomic...... burden. Objective: This study aimed to compare health and societal resource use and productivity in patients with relapsing-remitting MS (RRMS) receiving cladribine tablets versus placebo over 96 weeks in the CLARITY study. Methods: The CLARITY study was a 96-week, randomized, double-blind, placebo...
Full Text Available Single-nucleotide polymorphisms (SNPs in inositol 1,4,5-trisphosphate 3-kinase C (ITPKC, rs28493229 and caspase-3 (CASP3, rs113420705 are associated with susceptibility to KD in Japanese and Taiwanese populations. This study was conducted to investigate the involvement of these 2 SNPs in the risk for intravenous immunoglobulin (IVIG resistance and coronary artery lesion (CAL in Taiwanese population. A total of 340 KD patients were subjected to assess by the identification of 2-locus genes model. A combinatorial association between ITPKC (rs28493229 and CASP3 (rs113420705 was found in CAL formation (P = 0.0227, OR: 3.06. KD patients with high-risk genotype had a trend of overrepresentation in IVIG resistance compared with individual SNPs. Our findings suggest the existence of genetic factors affecting patients' risk for CAL formation and IVIG responsiveness in a Taiwanese population.
Full Text Available Background: Leptospirosis is one of the most under diagnosed and underreported disease in both developed and developing countries including India. It is established that environmental conditions and occupational habit of the individuals put them at risk of acquiring disease, which varies from community to community. Various seroprevalence studies across the world have documented emerging situation of this neglected tropical disease, but limited have probed to identify the risk factors, especially in India. Objectives: The objective of this study was to identify the environmental and occupational risk factors associated with the disease in Udupi District. Materials and Methods: This population-based case-control study was carried out in Udupi, a District in Southern India from April 2012 until August 2012. Udupi is considered to be endemic for Leptospirosis and reported 116 confirmed cases in the year 2011. Seventy of 116 laboratory confirmed cases and 140 sex matched neighborhood healthy controls participated in the study. A predesigned, semi-structured and validated questionnaire was used for data collection through house to house visit and observations were noted about environmental conditions. Univariate analysis followed by multivariate analysis (back ward conditional logistic regression was performed by using STATA version 9.2 (StataCorp, College Station, TX, USA to identify potential risk factors. Results: Occupational factors such as outdoor activities (matched odds ratio [OR] of 3.95, 95% confidence interval [CI]: 1.19-13.0, presence of cut or wound at body parts during work (matched OR: 4.88, CI: 1.83-13.02 and environmental factors such as contact with rodents through using the food materials ate by rat (matched OR: 4.29, CI: 1.45-12.73 and contact with soil or water contaminated with urine of rat (matched OR: 4.58, CI: 1.43-14.67 were the risk factors identified to be associated with disease. Conclusion: Leptospirosis is still
Knox, J.; Van Rijen, M.; Uhlemann, A.-C.; Miller, M.; Hafer, C.; Vavagiakis, P.; Shi, Q.; Johnson, P. D. R.; Coombs, G.; Van Den Bergh, M. Kluytmans; Kluytmans, J.; Bennett, C. M.; Lowy, F. D.
SUMMARY Diverse strain types of methicillin resistant Staphylococcus aureus (MRSA) cause infections in community settings worldwide. To examine heterogeneity of spread within households and to identify common risk factors for household transmission across settings, primary data from studies conducted in New York, US, Breda, NL, and Melbourne, AU were pooled. Following MRSA infection of the index patient, household members completed questionnaires and provided nasal swabs. Swabs positive for S. aureus were genotyped by spa-sequencing. Poisson regression with robust error variance was used to estimate prevalence odds ratios for transmission of the clinical isolate to non-index household members. Great diversity of strain types existed across studies. Despite differences between studies, the index patient being colonized with the clinical isolate at the home visit (p<.01) and the percent of household members <18 years (p<.01) were independently associated with transmission. Targeted decolonization strategies could be used across geographic settings to limit household MRSA transmission. PMID:24763185
Full Text Available Abstract In genetic association studies, deviation from Hardy-Weinberg equilibrium (HWD can be due to recent admixture or selection at a locus, but is most commonly due to genotyping errors. In addition to its utility for identifying potential genotyping errors in individual studies, here we report that HWD can be useful in detecting the presence, magnitude and direction of genotyping error across multiple studies. If there is a consistent genotyping error at a given locus, larger studies, in general, will show more evidence for HWD than small studies. As a result, for loci prone to genotyping errors, there will be a correlation between HWD and the study sample size. By contrast, in the absence of consistent genotyping errors, there will be a chance distribution of p-values among studies without correlation with sample size. We calculated the evidence for HWD at 17 separate polymorphic loci investigated in 325 published genetic association studies. In the full set of studies, there was a significant correlation between HWD and locus-standardised sample size (p = 0.001. For 14/17 of the individual loci, there was a positive correlation between extent of HWD and sample size, with the evidence for two loci (5-HTTLPR and CTSD rising to the level of statistical significance. Among single nucleotide polymorphisms (SNPs, 15/23 studies that deviated significantly from Hardy-Weinberg equilibrium (HWE did so because of a deficit of hetero-zygotes. The inbreeding coefficient (F(is is a measure of the degree and direction of deviation from HWE. Among studies investigating SNPs, there was a significant correlation between F(is and HWD (R = 0.191; p = 0.002, indicating that the greater the deviation from HWE, the greater the deficit of heterozygotes. By contrast, for repeat variants, only one in five studies that deviated significantly from HWE showed a deficit of heterozygotes and there was no significant correlation between F(is and HWD. These results
Full Text Available Abstract Background Cancer patients receiving chemotherapy are at increased risk of thrombosis. Nadroparin has been demonstrated to reduce the incidence of venous and arterial thrombotic events (TEs by about 50% in cancer outpatients receiving chemotherapy. The aims of this retrospective analysis were to evaluate the thromboembolic risk and the benefit of thromboprophylaxis according to type of chemotherapy. Methods Cancer outpatients were randomly assigned to receive subcutaneous injections of nadroparin or placebo. The incidence of symptomatic TEs was assessed according to the type of chemotherapy. Results were reported as risk ratios with associated 95% CI and two-tailed probability values. Results 769 and 381 patients have been evaluated in the nadroparin and placebo group, respectively. In the absence of thromboprophylaxis, the highest rate of TEs was found in patients receiving gemcitabine- (8.1% or cisplatin-based chemotherapy (7.0%. The combination of gemcitabine and cisplatin or carboplatin increased the risk to 10.2%. Thromboprophylaxis reduced TE risk by 68% in patients receiving gemcitabine; with a further decrease to 78% in those receiving a combination of gemcitabine and platinum. Conclusions This retrospective analysis confirms that patients undergoing chemotherapy including gemcitabine, platinum analogues or their combination are at higher risk of TEs. Our results also suggest that outpatients receiving chemotherapy regimens including these agents might achieve an increased benefit from thromboprophylaxis with nadroparin. Clinical Trial registration number: NCT 00951574
The North Tank Farm (NTF) tanks consist of eight underground storage tanks which have been removed from service because of age and changes in liquid waste system needs and requirements. Tank W-11, which was constructed in 1943, has been removed from service, and contains several hundred gallons of liquid low-level waste (LLLW). The Gunite and Associated Tanks (GAAT) Treatability Study involves the demonstration of sludge removal techniques and equipment for use in other waste storage tanks throughout the Department of Energy (DOE) complex. The hazards associated with the NTF, Tank W-11, and the Treatability Study are identified in hazard identification table in Appendixes A, B, and C. The hazards identified for the NTF, Tank W-11, and the Treatability Study were analyzed in the preliminary hazards analyses (PHA) included as Appendices D and E. The PHA identifies potential accident scenarios and qualitatively estimates the consequences. Because of the limited quantities of materials present in the tanks and the types of energy sources that may result in release of the materials, none of the accidents identified are anticipated to result in significant adverse health effects to on-site or off-site personnel
Sharon L McDonnell
Full Text Available Higher serum 25-hydroxyvitamin D [25(OHD] concentrations have been associated with a lower risk of multiple cancer types across a range of 25(OHD concentrations.To investigate whether the previously reported inverse association between 25(OHD and cancer risk could be replicated, and if a 25(OHD response region could be identified among women aged 55 years and older across a broad range of 25(OHD concentrations.Data from two cohorts representing different median 25(OHD concentrations were pooled to afford a broader range of 25(OHD concentrations than either cohort alone: the Lappe cohort (N = 1,169, a randomized clinical trial cohort (median 25(OHD = 30 ng/ml and the GrassrootsHealth cohort (N = 1,135, a prospective cohort (median 25(OHD = 48 ng/ml. Cancer incidence over a multi-year period (median: 3.9 years was compared according to 25(OHD concentration. Kaplan-Meier plots were developed and the association between 25(OHD and cancer risk was examined with multivariate Cox regression using multiple 25(OHD measurements and spline functions. The study included all invasive cancers excluding skin cancer.Age-adjusted cancer incidence across the combined cohort (N = 2,304 was 840 cases per 100,000 person-years (1,020 per 100,000 person-years in the Lappe cohort and 722 per 100,000 person-years in the GrassrootsHealth cohort. Incidence was lower at higher concentrations of 25(OHD. Women with 25(OHD concentrations ≥40 ng/ml had a 67% lower risk of cancer than women with concentrations <20 ng/ml (HR = 0.33, 95% CI = 0.12-0.90.25(OHD concentrations ≥40 ng/ml were associated with substantial reduction in risk of all invasive cancers combined.
Loth, Daan W; Soler Artigas, María; Gharib, Sina A; Wain, Louise V; Franceschini, Nora; Koch, Beate; Pottinger, Tess D; Smith, Albert Vernon; Duan, Qing; Oldmeadow, Chris; Lee, Mi Kyeong; Strachan, David P; James, Alan L; Huffman, Jennifer E; Vitart, Veronique; Ramasamy, Adaikalavan; Wareham, Nicholas J; Kaprio, Jaakko; Wang, Xin-Qun; Trochet, Holly; Kähönen, Mika; Flexeder, Claudia; Albrecht, Eva; Lopez, Lorna M; de Jong, Kim; Thyagarajan, Bharat; Alves, Alexessander Couto; Enroth, Stefan; Omenaas, Ernst; Joshi, Peter K; Fall, Tove; Viñuela, Ana; Launer, Lenore J; Loehr, Laura R; Fornage, Myriam; Li, Guo; Wilk, Jemma B; Tang, Wenbo; Manichaikul, Ani; Lahousse, Lies; Harris, Tamara B; North, Kari E; Rudnicka, Alicja R; Hui, Jennie; Gu, Xiangjun; Lumley, Thomas; Wright, Alan F; Hastie, Nicholas D; Campbell, Susan; Kumar, Rajesh; Pin, Isabelle; Scott, Robert A; Pietiläinen, Kirsi H; Surakka, Ida; Liu, Yongmei; Holliday, Elizabeth G; Schulz, Holger; Heinrich, Joachim; Davies, Gail; Vonk, Judith M; Wojczynski, Mary; Pouta, Anneli; Johansson, Asa; Wild, Sarah H; Ingelsson, Erik; Rivadeneira, Fernando; Völzke, Henry; Hysi, Pirro G; Eiriksdottir, Gudny; Morrison, Alanna C; Rotter, Jerome I; Gao, Wei; Postma, Dirkje S; White, Wendy B; Rich, Stephen S; Hofman, Albert; Aspelund, Thor; Couper, David; Smith, Lewis J; Psaty, Bruce M; Lohman, Kurt; Burchard, Esteban G; Uitterlinden, André G; Garcia, Melissa; Joubert, Bonnie R; McArdle, Wendy L; Musk, A Bill; Hansel, Nadia; Heckbert, Susan R; Zgaga, Lina; van Meurs, Joyce B J; Navarro, Pau; Rudan, Igor; Oh, Yeon-Mok; Redline, Susan; Jarvis, Deborah L; Zhao, Jing Hua; Rantanen, Taina; O'Connor, George T; Ripatti, Samuli; Scott, Rodney J; Karrasch, Stefan; Grallert, Harald; Gaddis, Nathan C; Starr, John M; Wijmenga, Cisca; Minster, Ryan L; Lederer, David J; Pekkanen, Juha; Gyllensten, Ulf; Campbell, Harry; Morris, Andrew P; Gläser, Sven; Hammond, Christopher J; Burkart, Kristin M; Beilby, John; Kritchevsky, Stephen B; Gudnason, Vilmundur; Hancock, Dana B; Williams, O Dale; Polasek, Ozren; Zemunik, Tatijana; Kolcic, Ivana; Petrini, Marcy F; Wjst, Matthias; Kim, Woo Jin; Porteous, David J; Scotland, Generation; Smith, Blair H; Viljanen, Anne; Heliövaara, Markku; Attia, John R; Sayers, Ian; Hampel, Regina; Gieger, Christian; Deary, Ian J; Boezen, H Marike; Newman, Anne; Jarvelin, Marjo-Riitta; Wilson, James F; Lind, Lars; Stricker, Bruno H; Teumer, Alexander; Spector, Timothy D; Melén, Erik; Peters, Marjolein J; Lange, Leslie A; Barr, R Graham; Bracke, Ken R; Verhamme, Fien M; Sung, Joohon; Hiemstra, Pieter S; Cassano, Patricia A; Sood, Akshay; Hayward, Caroline; Dupuis, Josée; Hall, Ian P; Brusselle, Guy G; Tobin, Martin D; London, Stephanie J
Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917 additional individuals of European ancestry. We found six new regions associated at genome-wide significance (P < 5 × 10(-8)) with FVC in or near EFEMP1, BMP6, MIR129-2-HSD17B12, PRDM11, WWOX and KCNJ2. Two loci previously associated with spirometric measures (GSTCD and PTCH1) were related to FVC. Newly implicated regions were followed up in samples from African-American, Korean, Chinese and Hispanic individuals. We detected transcripts for all six newly implicated genes in human lung tissue. The new loci may inform mechanisms involved in lung development and the pathogenesis of restrictive lung disease. PMID:24929828