Breast cancer risk factors and their effects on survival: a Mendelian randomisation study.

BMC Medicine
Maria Escala-GarciaMarjanka K Schmidt

Abstract

Observational studies have investigated the association of risk factors with breast cancer prognosis. However, the results have been conflicting and it has been challenging to establish causality due to potential residual confounding. Using a Mendelian randomisation (MR) approach, we aimed to examine the potential causal association between breast cancer-specific survival and nine established risk factors for breast cancer: alcohol consumption, body mass index, height, physical activity, mammographic density, age at menarche or menopause, smoking, and type 2 diabetes mellitus (T2DM). We conducted a two-sample MR analysis on data from the Breast Cancer Association Consortium (BCAC) and risk factor summary estimates from the GWAS Catalog. The BCAC data included 86,627 female patients of European ancestry with 7054 breast cancer-specific deaths during 15 years of follow-up. Of these, 59,378 were estrogen receptor (ER)-positive and 13,692 were ER-negative breast cancer patients. For the significant association, we used sensitivity analyses and a multivariable MR model. All risk factor associations were also examined in a model adjusted by other prognostic factors. Increased genetic liability to T2DM was significantly associated wit...Continue Reading

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Citations

May 24, 2021·Lipids in Health and Disease·Fatama Akter ChowdhuryMohammed Mostafizur Rahman

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Methods Mentioned

BETA
genotyping

Software Mentioned

R package
GWAS Catalog
TwoSampleMR
TwoSampleMR R
IVW

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