ArticleAmerican journal of human genetics2016
Constrained Score Statistics Identify Genetic Variants Interacting with Multiple Risk Factors in Barrett's Esophagus.
Article in American journal of human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Likelihood-based inference under nonconvex boundary constraints.Biometrika · 2024Article
- A risk variant for Barrett's esophagus and esophageal adenocarcinoma at chr8p23.1 affects enhancer activity and implicates multiple gene targets.Human molecular genetics · 2022Article
- eQTL Set-Based Association Analysis Identifies Novel Susceptibility Loci for Barrett Esophagus and Esophageal Adenocarcinoma.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022Article
- Prioritization and functional analysis of GWAS risk loci for Barrett's esophagus and esophageal adenocarcinoma.Human molecular genetics · 2022Article
- Visceral Obesity, Metabolic Syndrome, and Esophageal Adenocarcinoma.Frontiers in oncology · 2021Review
- Gene-Environment Interactions and the Risk of Barrett's Esophagus in Three US Cohorts.The American journal of gastroenterology · 2019Article
- The Evolving Genomic Landscape of Barrett's Esophagus and Esophageal Adenocarcinoma.Gastroenterology · 2017Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Few gene-environment interactions (G × E) have been discovered in cancer epidemiology thus far, in part due to the large number of possible G × E to be investigated and inherent low statistical power of traditional analytic methods for discovering G × E. We consider simultaneously testing for interactions between several related exposures and a genetic variant in a genome-wide study. To improve power, constrained testing strategies are proposed for multivariate gene-environment interactions at two levels: interactions that have the same direction (one-sided or bidirectional hypotheses) or are proportional to respective exposure main effects (a variant of Tukey's one-degree test). Score statistics were developed to expedite the genome-wide computation. We conducted extensive simulations to evaluate validity and power performance of the proposed statistics, applied them to the genetic and environmental exposure data for esophageal adenocarcinoma and Barrett's esophagus from the Barretts Esophagus and Esophageal Adenocarcinoma Consortium (BEACON), and discovered three loci simultaneously interacting with gastresophageal reflux, obesity, and tobacco smoking with genome-wide significance. These findings deepen understanding of the genetic and environmental architecture of Barrett's esophagus and esophageal adenocarcinoma.
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