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GWAS Study

Using human genetics to understand the disease impacts of testosterone in men and women.

Ruth KS, Day FR, Tyrrell J et al.

32042192 PubMed ID
GWAS Study Type
188507 Participants
173 Views
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

RK
Ruth KS
DF
Day FR
TJ
Tyrrell J
TD
Thompson DJ
WA
Wood AR
MA
Mahajan A
BR
Beaumont RN
WL
Wittemans L
MS
Martin S
BA
Busch AS
EA
Erzurumluoglu AM
HB
Hollis B
OT
O'Mara TA
MM
McCarthy MI
LC
Langenberg C
ED
Easton DF
WN
Wareham NJ
BS
Burgess S
MA
Murray A
OK
Ong KK
FT
Frayling TM
PJ
Perry JRB
Chapter II

Abstract

Summary of the research findings

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.

188,507 European ancestry women

Chapter III

Study Statistics

Key metrics and study information

188507
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
U.K.
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

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