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Genetic analysis reveals role of testosterone levels in human disease

Authors :
Claudia Langenberg
Benjamin Hollis
Jessica Tyrrell
Robin N Beaumont
Laura B. L. Wittemans
Douglas F. Easton
John R. B. Perry
Mark I. McCarthy
Felix R. Day
Tracy A. O'Mara
Anubha Mahajan
Stephen Burgess
A. Mesut Erzurumluoglu
Timothy M. Frayling
Nicholas J. Wareham
Alexander S Busch
Katherine S. Ruth
Anna Murray
Ken K. Ong
Andrew R. Wood
Deborah J. Thompson
Susan Martin
Source :
Nature medicine
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

Testosterone supplementation is commonly used for its effects on sexual function, bone health and body composition, yet its effects on disease outcomes are unknown. To better understand this, we identified genetic determinants of testosterone levels and related sex hormone traits in 425,097 UK Biobank study participants. Using 2,571 genome-wide significant associations, we demonstrate that the genetic determinants of testosterone levels are substantially different between sexes and that genetically higher testosterone is harmful for metabolic diseases in women but beneficial in men. For example, a genetically determined 1 s.d. higher testosterone increases the risks of type 2 diabetes (odds ratio (OR) = 1.37 (95% confidence interval (95% CI): 1.22–1.53)) and polycystic ovary syndrome (OR = 1.51 (95% CI: 1.33–1.72)) in women, but reduces type 2 diabetes risk in men (OR = 0.86 (95% CI: 0.76–0.98)). We also show adverse effects of higher testosterone on breast and endometrial cancers in women and prostate cancer in men. Our findings provide insights into the disease impacts of testosterone and highlight the importance of sex-specific genetic analyses. Genetic analysis of data from over 400,000 participants in the UK Biobank Study shows that circulating testosterone levels have sex-specific implications for cardiometabolic diseases and cancer outcomes.

Details

ISSN :
17595037 and 17595029
Volume :
16
Database :
OpenAIRE
Journal :
Nature Reviews Endocrinology
Accession number :
edsair.doi.dedup.....fcc35778803a4c43e2966f75eb13daba
Full Text :
https://doi.org/10.1038/s41574-020-0338-8