ArticleHuman heredity2014
Incorporating gene-environment interaction in testing for association with rare genetic variants.
Article in Human heredity, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.
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Who cites it
24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 38 citations in OpenAlex.
- Kernel-based gene-environment interaction tests for rare variants with multiple quantitative phenotypes.PloS one · 2022Pooled it
- Variance-component-based meta-analysis of gene-environment interactions for rare variants.G3 (Bethesda, Md.) · 2021Pooled it
- A unified method for rare variant analysis of gene-environment interactions.Statistics in medicine · 2020Pooled it
- Marginal interaction test for detecting interactions between genetic marker sets and environment in genome-wide studies.G3 (Bethesda, Md.) · 2025Article
- Gene-environment interactions in human health.Nature reviews. Genetics · 2024Review
- Cauchy combination methods for the detection of gene-environment interactions for rare variants related to quantitative phenotypes.Heredity · 2023Article
- A Varying Coefficient Model to Jointly Test Genetic and Gene-Environment Interaction Effects.Behavior genetics · 2023Article
- VCSEL: PRIORITIZING SNP-SET BY PENALIZED VARIANCE COMPONENT SELECTION.The annals of applied statistics · 2021Article
- Rare and low-frequency exonic variants and gene-by-smoking interactions in pulmonary function.Scientific reports · 2021Article
- Family-based gene-environment interaction using sequence kernel association test (FGE-SKAT) for complex quantitative traits.Scientific reports · 2021Article
- Scalable and Robust Regression Methods for Phenome-Wide Association Analysis on Large-Scale Biobank Data.Frontiers in genetics · 2021Review
- Efficient gene-environment interaction tests for large biobank-scale sequencing studies.Genetic epidemiology · 2020Article
- Incorporating multiple sets of eQTL weights into gene-by-environment interaction analysis identifies novel susceptibility loci for pancreatic cancer.Genetic epidemiology · 2020Article
- Genome-Wide Gene-Diabetes and Gene-Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020Article
- Role of Rare and Low-Frequency Variants in Gene-Alcohol Interactions on Plasma Lipid Levels.Circulation. Genomic and precision medicine · 2020Article
- Using Genetic Risk Score Approaches to Infer Whether an Environmental Factor Attenuates or Exacerbates the Adverse Influence of a Candidate Gene.Frontiers in genetics · 2020Article
- Polygenic approaches to detect gene-environment interactions when external information is unavailable.Briefings in bioinformatics · 2019Review
- The combined effects of FADS gene variation and dietary fats in obesity-related traits in a population from the far north of Sweden: the GLACIER Study.International journal of obesity (2005) · 2019Article
- A powerful and data-adaptive test for rare-variant-based gene-environment interaction analysis.Statistics in medicine · 2019Article
- Genome-Wide Gene-Environment Interaction Analysis Using Set-Based Association Tests.Frontiers in genetics · 2018Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesThe incorporation of gene-environment interactions could improve the ability to detect genetic associations with complex traits. For common genetic variants, single-marker interaction tests and joint tests of genetic main effects and gene-environment interaction have been well-established and used to identify novel association loci for complex diseases and continuous traits. For rare genetic variants, however, single-marker tests are severely underpowered due to the low minor allele frequency, and only a few gene-environment interaction tests have been developed. We aimed at developing powerful and computationally efficient tests for gene-environment interaction with rare variants.
methodsIn this paper, we propose interaction and joint tests for testing gene-environment interaction of rare genetic variants. Our approach is a generalization of existing gene-environment interaction tests for multiple genetic variants under certain conditions.
resultsWe show in our simulation studies that our interaction and joint tests have correct type I errors, and that the joint test is a powerful approach for testing genetic association, allowing for gene-environment interaction. We also illustrate our approach in a real data example from the Framingham Heart Study.
conclusionOur approach can be applied to both binary and continuous traits, it is powerful and computationally efficient.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.