Hazelwood, Emma and Sanderson, Eleanor and Tan, Vanessa Y. and Ruth, Katherine S. and Frayling, Timothy M. and Dimou, Niki and Gunter, Marc J. and Dossus, Laure and Newton, Claire and Ryan, Neil and Pournaras, Dimitri J. and O’Mara, Tracy A. and Davey Smith, George and Martin, Richard M. and Yarmolinsky, James (2022) Identifying molecular mediators of the relationship between body mass index and endometrial cancer risk: a Mendelian randomization analysis. BMC Medicine, 20 (1). ISSN 1741-7015
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Abstract
Endometrial cancer is the most common gynaecological cancer in high-income countries. Elevated body mass index (BMI) is an established modifiable risk factor for this condition and is estimated to confer a larger effect on endometrial cancer risk than any other cancer site. However, the molecular mechanisms underpinning this association remain unclear. We used Mendelian randomization (MR) to evaluate the causal role of 14 molecular risk factors (hormonal, metabolic and inflammatory markers) in endometrial cancer risk. We then evaluated and quantified the potential mediating role of these molecular traits in the relationship between BMI and endometrial cancer using multivariable MR.
Methods
Genetic instruments to proxy 14 molecular risk factors and BMI were constructed by identifying single-nucleotide polymorphisms (SNPs) reliably associated (P < 5.0 × 10−8) with each respective risk factor in previous genome-wide association studies (GWAS). Summary statistics for the association of these SNPs with overall and subtype-specific endometrial cancer risk (12,906 cases and 108,979 controls) were obtained from a GWAS meta-analysis of the Endometrial Cancer Association Consortium (ECAC), Epidemiology of Endometrial Cancer Consortium (E2C2) and UK Biobank. SNPs were combined into multi-allelic models and odds ratios (ORs) and 95% confidence intervals (95% CIs) were generated using inverse-variance weighted random-effects models. The mediating roles of the molecular risk factors in the relationship between BMI and endometrial cancer were then estimated using multivariable MR.
Item Type: | Article |
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Subjects: | ArticleGate > Medical Science |
Depositing User: | APLOS Lib |
Date Deposited: | 28 Jun 2022 07:50 |
Last Modified: | 28 Jun 2022 07:50 |
URI: | http://ebooks.pubstmlibrary.com/id/eprint/480 |