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Genetically Predicted Body Mass Index and Breast Cancer Risk: Mendelian Randomization Analyses of Data from 145,000 Women of European Descent.

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Peer-reviewed

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Authors

Guo, Yan 
Warren Andersen, Shaneda 
Shu, Xiao-Ou 
Michailidou, Kyriaki 
Bolla, Manjeet K 

Abstract

BACKGROUND: Observational epidemiological studies have shown that high body mass index (BMI) is associated with a reduced risk of breast cancer in premenopausal women but an increased risk in postmenopausal women. It is unclear whether this association is mediated through shared genetic or environmental factors. METHODS: We applied Mendelian randomization to evaluate the association between BMI and risk of breast cancer occurrence using data from two large breast cancer consortia. We created a weighted BMI genetic score comprising 84 BMI-associated genetic variants to predicted BMI. We evaluated genetically predicted BMI in association with breast cancer risk using individual-level data from the Breast Cancer Association Consortium (BCAC) (cases  =  46,325, controls  =  42,482). We further evaluated the association between genetically predicted BMI and breast cancer risk using summary statistics from 16,003 cases and 41,335 controls from the Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) Project. Because most studies measured BMI after cancer diagnosis, we could not conduct a parallel analysis to adequately evaluate the association of measured BMI with breast cancer risk prospectively. RESULTS: In the BCAC data, genetically predicted BMI was found to be inversely associated with breast cancer risk (odds ratio [OR]  =  0.65 per 5 kg/m2 increase, 95% confidence interval [CI]: 0.56-0.75, p = 3.32 × 10-10). The associations were similar for both premenopausal (OR   =   0.44, 95% CI:0.31-0.62, p  =  9.91 × 10-8) and postmenopausal breast cancer (OR  =  0.57, 95% CI: 0.46-0.71, p  =  1.88 × 10-8). This association was replicated in the data from the DRIVE consortium (OR  =  0.72, 95% CI: 0.60-0.84, p   =   1.64 × 10-7). Single marker analyses identified 17 of the 84 BMI-associated single nucleotide polymorphisms (SNPs) in association with breast cancer risk at p < 0.05; for 16 of them, the allele associated with elevated BMI was associated with reduced breast cancer risk. CONCLUSIONS: BMI predicted by genome-wide association studies (GWAS)-identified variants is inversely associated with the risk of both pre- and postmenopausal breast cancer. The reduced risk of postmenopausal breast cancer associated with genetically predicted BMI observed in this study differs from the positive association reported from studies using measured adult BMI. Understanding the reasons for this discrepancy may reveal insights into the complex relationship of genetic determinants of body weight in the etiology of breast cancer.

Description

Keywords

Body Mass Index, Breast Neoplasms, Female, Genetic Predisposition to Disease, Humans, Mendelian Randomization Analysis, Menopause, Middle Aged, Models, Statistical, Polymorphism, Single Nucleotide, Risk Factors, White People

Journal Title

PLoS Med

Conference Name

Journal ISSN

1549-1277
1549-1676

Volume Title

13

Publisher

Public Library of Science (PLoS)
Sponsorship
Cancer Research Uk (None)
Cancer Research Uk (None)
Cancer Research Uk (None)
Cancer Research Uk (None)
Cancer Research Uk (None)
The work conducted for this project at Vanderbilt University is supported primarily by National Cancer Institute research grants (R37CA070867 and R25CA160056) and endowment funds for the Ingram Professorship and Anne Potter Wilson Chair. A complete funding statement is available in the Supporting Information but include Cancer Research UK, National Institutes of Health, National Institute for Health Research.