Multi-trait genome-wide association study identifies a novel endometrial cancer risk locus that associates with testosterone levels

Xuemin Wang, Pik Fang Kho, Dhanya Ramachandran, Cemsel Bafligil, Frederic Amant, Ellen L. Goode, Rodney J. Scott, Ian Tomlinson, D. Gareth Evans, Emma J. Crosbie, Thilo Dörk, Amanda B. Spurdle, Dylan M. Glubb, Tracy A. O'Mara

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Abstract

To detect novel endometrial cancer risk variants, we leveraged information from endometrial cancer risk factors in a multi-trait GWAS analysis. We first assessed causal relationships between established and suspected endometrial cancer risk factors, and endometrial cancer using Mendelian randomization. Following multivariable analysis, five independent risk factors (waist circumference, testosterone levels, sex hormone binding globulin levels, age at menarche, and age at natural menopause) were included in a multi-trait Bayesian GWAS analysis. We identified three potentially novel loci that associate with endometrial cancer risk, one of which (7q22.1) replicated in an independent endometrial cancer GWAS dataset and was genome-wide significant in a meta-analysis. This locus may affect endometrial cancer risk through altered testosterone levels. Consistent with this, we observed colocalization between the signals for endometrial cancer risk and expression of CYP3A7, a gene involved in testosterone metabolism. Thus, our findings suggest opportunities for hormone therapy to prevent or treat endometrial cancer.
Original languageEnglish
Article number106590
JournaliScience
Volume26
Issue number5
DOIs
Publication statusPublished - 19 May 2023

Keywords

  • Bioinformatics
  • Cancer
  • Genomics
  • Systems biology

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