GEM: scalable and flexible gene–environment interaction analysis in millions of samples
出版年份 2021 全文链接
标题
GEM: scalable and flexible gene–environment interaction analysis in millions of samples
作者
关键词
-
出版物
BIOINFORMATICS
Volume -, Issue -, Pages -
出版商
Oxford University Press (OUP)
发表日期
2021-04-08
DOI
10.1093/bioinformatics/btab223
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Interaction analysis under misspecification of main effects: Some common mistakes and simple solutions
- (2020) Min Zhang et al. STATISTICS IN MEDICINE
- Genome-wide association study of body fat distribution identifies adiposity loci and sex-specific genetic effects
- (2019) Mathias Rask-Andersen et al. Nature Communications
- Sex-specific moderation by lifestyle and psychosocial factors on the genetic contributions to adiposity in 112,151 individuals from UK Biobank
- (2019) Catherine M. Calvin et al. Scientific Reports
- A Fast and Accurate Method for Genome-wide Scale Phenome-wide G × E Analysis and Its Application to UK Biobank
- (2019) Wenjian Bi et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Meta-analysis of genome-wide association studies for body fat distribution in 694,649 individuals of European ancestry
- (2018) Sara L Pulit et al. HUMAN MOLECULAR GENETICS
- Joint Analysis of Multiple Interaction Parameters in Genetic Association Studies
- (2018) Jihye Kim et al. GENETICS
- The UK Biobank resource with deep phenotyping and genomic data
- (2018) Clare Bycroft et al. NATURE
- A linear mixed-model approach to study multivariate gene–environment interactions
- (2018) Rachel Moore et al. NATURE GENETICS
- Functional mapping and annotation of genetic associations with FUMA
- (2017) Kyoko Watanabe et al. Nature Communications
- Gene-environment interaction study for BMI reveals interactions between genetic factors and physical activity, alcohol consumption and socioeconomic status
- (2017) Mathias Rask-Andersen et al. PLoS Genetics
- Second-generation PLINK: rising to the challenge of larger and richer datasets
- (2015) Christopher C Chang et al. GigaScience
- Genetic Association Analysis under Complex Survey Sampling: The Hispanic Community Health Study/Study of Latinos
- (2014) Dan-Yu Lin et al. AMERICAN JOURNAL OF HUMAN GENETICS
- EasyStrata: evaluation and visualization of stratified genome-wide association meta-analysis data
- (2014) Thomas W. Winkler et al. BIOINFORMATICS
- Gene × Environment Interaction Studies Have Not Properly Controlled for Potential Confounders: The Problem and the (Simple) Solution
- (2013) Matthew C. Keller BIOLOGICAL PSYCHIATRY
- Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes
- (2012) NATURE GENETICS
- Behavior of QQ-Plots and Genomic Control in Studies of Gene-Environment Interaction
- (2011) Arend Voorman et al. PLoS One
- Methods for Investigating Gene-Environment Interactions in Candidate Pathway and Genome-Wide Association Studies
- (2010) Duncan Thomas Annual Review of Public Health
- Methods for testing association between uncertain genotypes and quantitative traits
- (2010) Z. Kutalik et al. BIOSTATISTICS
- ProbABEL package for genome-wide association analysis of imputed data
- (2010) Yurii S Aulchenko et al. BMC BIOINFORMATICS
- Implications of the exposome for exposure science
- (2010) Stephen M Rappaport Journal of Exposure Science and Environmental Epidemiology
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