Testing gene-environment interaction in large-scale case-control association studies: possible choices and comparisons. - Wikidata - awgldk - TriplyDB

Testing gene-environment interaction in large-scale case-control association studies: possible choices and comparisons.

Testing gene-environment interaction in large-scale case-control association studies: possible choices and comparisons.

http://www.wikidata.org/entity/Q35776385

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Candidate gene-environment interaction research: reflections and recommendations.Gene-environment interactions in cancer epidemiology: a National Cancer Institute Think Tank report Analytical Complexity in Detection of Gene Variant-by-Environment Exposure Interactions in High-Throughput Genomic and Exposomic Research Genetic prediction of common diseases. Still no help for the clinical diabetologist!The Psychiatric Genomics Consortium Posttraumatic Stress Disorder Workgroup: Posttraumatic Stress Disorder Enters the Age of Large-Scale Genomic Collaboration Atrazine and pregnancy outcomes: a systematic review of epidemiologic evidence Informatics and Data Analytics to Support Exposome-Based Discovery for Public Health Environmental risk factors for inflammatory bowel diseases: Evidence based literature review Genome-wide gene-environment interactions on quantitative traits using family data.Opportunities and challenges of big data for the social sciences: The case of genomic data.Is the gene-environment interaction paradigm relevant to genome-wide studies? The case of education and body mass index.A nonparametric test to detect quantitative trait loci where the phenotypic distribution differs by genotypes.The role of environmental heterogeneity in meta-analysis of gene-environment interactions with quantitative traits Next generation analytic tools for large scale genetic epidemiology studies of complex diseases Identification of new genetic susceptibility loci for breast cancer through consideration of gene-environment interactions.Functional logistic regression approach to detecting gene by longitudinal environmental exposure interaction in a case-control study.Testing departure from additivity in Tukey's model using shrinkage: application to a longitudinal setting.The impact of exposure-biased sampling designs on detection of gene-environment interactions in case-control studies with potential exposure misclassification.Association between polymorphisms in the renin-angiotensin-aldosterone system genes and essential hypertension in the Han Chinese population.Finding novel genes by testing G × E interactions in a genome-wide association study Latent variable models for gene-environment interactions in longitudinal studies with multiple correlated exposures.Invited commentary: GE-Whiz! Ratcheting gene-environment studies up to the whole genome and the whole exposome Powerful Tukey's One Degree-of-Freedom Test for Detecting Gene-Gene and Gene-Environment Interactions Deciphering Genome Environment Wide Interactions Using Exposed Subjects Only.Inclusion of gene-gene and gene-environment interactions unlikely to dramatically improve risk prediction for complex diseases A Joint Location-Scale Test Improves Power to Detect Associated SNPs, Gene Sets, and Pathways Adult onset asthma and interaction between genes and active tobacco smoking: The GABRIEL consortium Simultaneously testing for marginal genetic association and gene-environment interaction A penalized robust semiparametric approach for gene-environment interactions Tests for Gene-Environment Interactions and Joint Effects With Exposure Misclassification Gender-Specific Association of ATP2B1 Variants with Susceptibility to Essential Hypertension in the Han Chinese Population.Considering trauma exposure in the context of genetics studies of posttraumatic stress disorder: a systematic review A review of NCI's extramural grant portfolio: identifying opportunities for future research in genes and environment in cancer.Two-stage testing procedures with independent filtering for genome-wide gene-environment interaction.Powerful cocktail methods for detecting genome-wide gene-environment interaction.The case-only test for gene-environment interaction is not uniformly powerful: an empirical example Challenges and opportunities in genome-wide environmental interaction (GWEI) studies Environmental confounding in gene-environment interaction studies Network-guided sparse regression modeling for detection of gene-by-gene interactions.Differential Vulnerability to Early-Life Parental Death: The Moderating Effects of Family Suicide History on Risks for Major Depression and Substance Abuse in Later Life.

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P2860

Testing gene-environment interaction in large-scale case-control association studies: possible choices and comparisons.

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American Journal of Epidemiology

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Bhramar Mukherjee

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Jaeil Ahn

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Stephen B Gruber

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P2860

Interaction between the serotonin transporter gene (5-HTTLPR), stressful life events, and risk of depression: a meta-analysis

Estimating the Dimension of a Model

On the analysis of genome-wide association studies in family-based designs: a universal, robust analysis approach and an application to four genome-wide association studies

Tests for gene-environment interaction from case-control data: a novel study of type I error, power and designs.

Gene--environment-wide association studies: emerging approaches

Efficient genome-wide association testing of gene-environment interaction in case-parent trios.

Performance of common genetic variants in breast-cancer risk models.

NAT2 slow acetylation, GSTM1 null genotype, and risk of bladder cancer: results from the Spanish Bladder Cancer Study and meta-analyses

Sample size requirements to detect gene-environment interactions in genome-wide association studies.

Shrinkage estimation for robust and efficient screening of single-SNP association from case-control genome-wide association studies

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