Article

A biobank-scale method for learning modulators of gene-environment interaction underlying human complex traits from multiple environmental exposures

2026-03-16

Abstract excerpt

It is increasingly recognized that genetic effects on complex traits and diseases are shaped by environmental context. Biobanks that measure diverse environmental exposures alongside genotypes and phenotypes at scale enable systematic study of gene-environment (G×E) interactions. Existing approaches, however, are limited in their ability to accurately model polygenic G×E involving many exposures across genome-wide...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: cba45471-245c-5ab1-a46f-737feb156dde
DOI: 10.64898/2026.03.13.711725

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A biobank-scale method for learning modulators of gene-environment interaction underlying human complex traits from multiple environmental exposuresDOI 10.64898/2026.03.13.711725Read

A scalable and robust variance components method reveals insights into the architecture of gene-environment interactions underlying complex traitsSemantic proximity Read

Distinct explanations underlie gene-environment interactions in the UK Biobank.Semantic proximity Read

Gene-lifestyle interactions in the genomics of human complex traits.Semantic proximity Read

A scalable and robust variance components method reveals insights into the architecture of gene-environment interactions underlying complex traits.Semantic proximity Read

A Robust Method Uncovers Significant Context-Specific Heritability in Diverse Complex Traits.Semantic proximity Read

Distinct explanations underlie gene-environment interactions in the UK BiobankSemantic proximity Read

Gene-environment interactions using a Bayesian whole genome regression modelSemantic proximity Read

GEM: scalable and flexible gene-environment interaction analysis in millions of samples.Semantic proximity Read

A Scalable Framework to Integrate Social Determinants of Health into Disease Risk Models using Biobank Survey DataSemantic proximity Read

GEM: Scalable and flexible gene-environment interaction analysis in millions of samplesSemantic proximity Read

Efficient gene-environment interaction tests for large biobank-scale sequencing studiesSemantic proximity Read

Efficient gene-environment interaction tests for large biobank-scale sequencing studies.Semantic proximity Read