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Article

Integrative analysis of gene-environment interactions under a multi-response partially linear varying coefficient model.

Statistics in medicine - 10 Dec 2014

Wu Cen, Cui Yuehua, Ma Shuangge

Abstract excerpt

Consider the integrative analysis of genetic data with multiple correlated response variables. The goal is to identify important gene-environment (G × E) interactions along with main gene and environment effects that are associated with the responses. The homogeneity and heterogeneity models can be adopted to describe the genetic basis of multiple responses. To accommodate possible nonlinear effects of some...

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Identifiers

PMID: 25146388
DOI: 10.1002/sim.6287
PMCID: PMC4225006

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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