ArticleAmerican journal of human genetics2006
Powerful multilocus tests of genetic association in the presence of gene-gene and gene-environment interactions.
Article in American journal of human genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 2 of them syntheses that pooled it.
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Who cites it
92 citing papers in PubMed, 2 syntheses or guidelines pooled it, 153 citations in OpenAlex.
- A meta-analysis approach with filtering for identifying gene-level gene-environment interactions.Genetic epidemiology · 2018Pooled it
- A meta-analytic framework for detection of genetic interactions.Genetic epidemiology · 2016Pooled it
- Finasteride modifies the relation between serum C-peptide and prostate cancer risk: results from the Prostate Cancer Prevention Trial.Cancer prevention research (Philadelphia, Pa.) · 2010Trial
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- Distributed Lag Interaction Models with Two Pollutants.Journal of the Royal Statistical Society. Series C, Applied statistics · 2019Article
- Genetic risk prediction using a spatial autoregressive model with adaptive lasso.Statistics in medicine · 2018Article
- Multiple Testing of Submatrices of a Precision Matrix with Applications to Identification of Between Pathway Interactions.Journal of the American Statistical Association · 2018Article
- Semiparametric analysis of complex polygenic gene-environment interactions in case-control studies.Biometrika · 2017Article
- Structured detection of interactions with the directed lasso.Statistics in biosciences · 2017Article
- Joint genetic analysis using variant sets reveals polygenic gene-context interactions.PLoS genetics · 2017Article
- Eigen-Epistasis for detecting gene-gene interactions.BMC bioinformatics · 2017Article
- Classification and Clustering Methods for Multiple Environmental Factors in Gene-Environment Interaction: Application to the Multi-Ethnic Study of Atherosclerosis.Epidemiology (Cambridge, Mass.) · 2016Article
- Constrained Score Statistics Identify Genetic Variants Interacting with Multiple Risk Factors in Barrett's Esophagus.American journal of human genetics · 2016Article
- A unified set-based test with adaptive filtering for gene-environment interaction analyses.Biometrics · 2016Article
- Imputing Gene Expression in Uncollected Tissues Within and Beyond GTEx.American journal of human genetics · 2016Article
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- Genome-Wide Analysis of Gene-Gene and Gene-Environment Interactions Using Closed-Form Wald Tests.Genetic epidemiology · 2015Article
- Kernel Approach for Modeling Interaction Effects in Genetic Association Studies of Complex Quantitative Traits.Genetic epidemiology · 2015Article
32 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
In modern genetic epidemiology studies, the association between the disease and a genomic region, such as a candidate gene, is often investigated using multiple SNPs. We propose a multilocus test of genetic association that can account for genetic effects that might be modified by variants in other genes or by environmental factors. We consider use of the venerable and parsimonious Tukey's 1-degree-of-freedom model of interaction, which is natural when individual SNPs within a gene are associated with disease through a common biological mechanism; in contrast, many standard regression models are designed as if each SNP has unique functional significance. On the basis of Tukey's model, we propose a novel but computationally simple generalized test of association that can simultaneously capture both the main effects of the variants within a genomic region and their interactions with the variants in another region or with an environmental exposure. We compared performance of our method with that of two standard tests of association, one ignoring gene-gene/gene-environment interactions and the other based on a saturated model of interactions. We demonstrate major power advantages of our method both in analysis of data from a case-control study of the association between colorectal adenoma and DNA variants in the NAT2 genomic region, which are well known to be related to a common biological phenotype, and under different models of gene-gene interactions with use of simulated data.
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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.