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Identifying interactions between genetics and the environment (GxE) remains challenging. We have developed EAGLE, a hierarchical Bayesian model for identifying GxE interactions based on associations between environmental variables and allele-specific expression. Combining whole-blood RNA-seq with extensive environmental annotations collected from 922 human individuals, we identified 35 GxE interactions, compared with only four using standard GxE interaction testing. EAGLE provides new opportunities for researchers to identify GxE interactions using functional genomic data.

Original publication

DOI

10.1038/nmeth.4298

Type

Journal article

Journal

Nature methods

Publication Date

07/2017

Volume

14

Pages

699 - 702

Addresses

Department of Genetics, Stanford University School of Medicine, Stanford, California, USA.

Keywords

Humans, Cohort Studies, Gene Expression Regulation, Epigenesis, Genetic, Alleles, Quantitative Trait Loci, Models, Genetic, Adult, Female, Male, Genetic Variation