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BackgroundGenome-wide studies of gene-environment interactions (G×E) may identify variants associated with disease risk in conjunction with lifestyle/environmental exposures. We conducted a genome-wide G×E analysis of ~ 7.6 million common variants and seven lifestyle/environmental risk factors for breast cancer risk overall and for estrogen receptor positive (ER +) breast cancer.MethodsAnalyses were conducted using 72,285 breast cancer cases and 80,354 controls of European ancestry from the Breast Cancer Association Consortium. Gene-environment interactions were evaluated using standard unconditional logistic regression models and likelihood ratio tests for breast cancer risk overall and for ER + breast cancer. Bayesian False Discovery Probability was employed to assess the noteworthiness of each SNP-risk factor pairs.ResultsAssuming a 1 × 10-5 prior probability of a true association for each SNP-risk factor pairs and a Bayesian False Discovery Probability int = 0.94, 95% CI 0.92-0.96), and rs4770552(13q12)-SPATA13 and age at menarche for ER + breast cancer risk (ORint = 0.91, 95% CI 0.88-0.94).ConclusionsOverall, the contribution of G×E interactions to the heritability of breast cancer is very small. At the population level, multiplicative G×E interactions do not make an important contribution to risk prediction in breast cancer.

Original publication

DOI

10.1186/s13058-023-01691-8

Type

Journal article

Journal

Breast cancer research : BCR

Publication Date

08/2023

Volume

25

Addresses

Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany. pooja.middha@ucsf.edu.

Keywords

CTS Consortium, ABCTB Investigators, kConFab Investigators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Bayes Theorem, Risk Factors, Case-Control Studies, Polymorphism, Single Nucleotide, Adult, Female, Genome-Wide Association Study, Gene-Environment Interaction