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Article

Incorporating multiple sets of eQTL weights into gene-by-environment interaction analysis identifies novel susceptibility loci for pancreatic cancer.

Genetic epidemiology - 1 Nov 2020

Yang Tianzhong, Tang Hongwei, Risch Harvey A, Olson Sarah H, Peterson Gloria, Bracci Paige M, Gallinger Steven, Hung Rayjean J, Neale Rachel E, Scelo Ghislaine, Duell Eric J, Kurtz Robert C, Khaw Kay-Tee, Severi Gianluca, Sund Malin, Wareham Nick, Amos Christopher I, Li Donghui, Wei Peng

Abstract excerpt

It is of great scientific interest to identify interactions between genetic variants and environmental exposures that may modify the risk of complex diseases. However, larger sample sizes are usually required to detect gene-by-environment interaction (G × E) than required to detect genetic main association effects. To boost the statistical power and improve the understanding of the underlying molecular...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 32779232
DOI: 10.1002/gepi.22348
PMCID: PMC7657998

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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