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

Multi-trait genome-wide association study identifies a novel endometrial cancer risk locus that associates with testosterone levels.
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DOI:
10.1016/j.isci.2023.106590
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发表时间:
2023-05-19
期刊:
影响因子:
5.8
通讯作者:
O'Mara, Tracy A.
O'Mara, Tracy A.
中科院分区:
综合性期刊2区
文献类型:
--
作者:
Wang, Xuemin;Kho, Pik Fang;Ramachandran, Dhanya;Bafligil, Cemsel;Amant, Frederic;Goode, Ellen L.;Scott, Rodney J.;Tomlinson, Ian;Evans, D. Gareth;Crobie, Emma J.;Doerk, Thilo;Spurdle, Amanda B.;Clubb, Dylan M.;O'Mara, Tracy A.

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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. 5 independent endometrial cancer risk factors detected via multivariable analysis 3 potentially novel endometrial cancer risk loci revealed by multi-trait GWAS Validation of novel 7q22.1 risk locus in an endometrial cancer GWAS replication set GWAS variants at 7q22.1 linked to CYP3A7 expression and female testosterone levels Bioinformatics; Systems biology; Cancer; Genomics
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