A Genome-Wide Association Meta-Analysis of Circulating Sex Hormone-Binding Globulin Reveals Multiple Loci Implicated in Sex Steroid Hormone Regulation
Author(s)
Type
Journal Article
Abstract
Sex hormone-binding globulin (SHBG) is a glycoprotein responsible for the transport and biologic availability of sex steroid
hormones, primarily testosterone and estradiol. SHBG has been associated with chronic diseases including type 2 diabetes
(T2D) and with hormone-sensitive cancers such as breast and prostate cancer. We performed a genome-wide association
study (GWAS) meta-analysis of 21,791 individuals from 10 epidemiologic studies and validated these findings in 7,046
individuals in an additional six studies. We identified twelve genomic regions (SNPs) associated with circulating SHBG
concentrations. Loci near the identified SNPs included SHBG (rs12150660, 17p13.1, p = 1.86102106), PRMT6 (rs17496332, 1p13.3,
p = 1.4610211), GCKR (rs780093, 2p23.3,p= 2.2610216), ZBTB10 (rs440837, 8q21.13,p= 3.4610209), JMJD1C (rs7910927, 10q21.3,
p = 6.1610235), SLCO1B1 (rs4149056, 12p12.1, p= 1.9610208), NR2F2 (rs8023580, 15q26.2, p= 8.3610212), ZNF652 (rs2411984,
17q21.32, p= 3.5610214), TDGF3 (rs1573036, Xq22.3, p= 4.1610214), LHCGR (rs10454142, 2p16.3, p= 1.3610207), BAIAP2L1
(rs3779195, 7q21.3, p= 2.7610208), and UGT2B15 (rs293428, 4q13.2, p= 5.5610206). These genes encompass multiple biologic
pathways, including hepatic function, lipid metabolism, carbohydrate metabolism and T2D, androgen and estrogen receptor
function, epigenetic effects, and the biology of sex steroid hormone-responsive cancers including breast and prostate cancer.
We found evidence of sex-differentiated genetic influences on SHBG. In a sex-specific GWAS, the loci 4q13.2-UGT2B15 was
significant in men only (men p = 2.5610208, women p = 0.66, heterogeneity p = 0.003). Additionally, three loci showed strong
sex-differentiated effects: 17p13.1-SHBG and Xq22.3-TDGF3 were stronger in men, whereas 8q21.12-ZBTB10 was stronger in
women. Conditional analyses identified additional signals at the SHBG gene that together almost double the proportion of
variance explained at the locus. Using an independent study of 1,129 individuals, all SNPs identified in the overall or sexdifferentiated
or conditional analyses explained ,15.6% and ,8.4% of the genetic variation of SHBG concentrations in men
and women, respectively. The evidence for sex-differentiated effects and allelic heterogeneity highlight the importance of
considering these features when estimating complex trait variance.
hormones, primarily testosterone and estradiol. SHBG has been associated with chronic diseases including type 2 diabetes
(T2D) and with hormone-sensitive cancers such as breast and prostate cancer. We performed a genome-wide association
study (GWAS) meta-analysis of 21,791 individuals from 10 epidemiologic studies and validated these findings in 7,046
individuals in an additional six studies. We identified twelve genomic regions (SNPs) associated with circulating SHBG
concentrations. Loci near the identified SNPs included SHBG (rs12150660, 17p13.1, p = 1.86102106), PRMT6 (rs17496332, 1p13.3,
p = 1.4610211), GCKR (rs780093, 2p23.3,p= 2.2610216), ZBTB10 (rs440837, 8q21.13,p= 3.4610209), JMJD1C (rs7910927, 10q21.3,
p = 6.1610235), SLCO1B1 (rs4149056, 12p12.1, p= 1.9610208), NR2F2 (rs8023580, 15q26.2, p= 8.3610212), ZNF652 (rs2411984,
17q21.32, p= 3.5610214), TDGF3 (rs1573036, Xq22.3, p= 4.1610214), LHCGR (rs10454142, 2p16.3, p= 1.3610207), BAIAP2L1
(rs3779195, 7q21.3, p= 2.7610208), and UGT2B15 (rs293428, 4q13.2, p= 5.5610206). These genes encompass multiple biologic
pathways, including hepatic function, lipid metabolism, carbohydrate metabolism and T2D, androgen and estrogen receptor
function, epigenetic effects, and the biology of sex steroid hormone-responsive cancers including breast and prostate cancer.
We found evidence of sex-differentiated genetic influences on SHBG. In a sex-specific GWAS, the loci 4q13.2-UGT2B15 was
significant in men only (men p = 2.5610208, women p = 0.66, heterogeneity p = 0.003). Additionally, three loci showed strong
sex-differentiated effects: 17p13.1-SHBG and Xq22.3-TDGF3 were stronger in men, whereas 8q21.12-ZBTB10 was stronger in
women. Conditional analyses identified additional signals at the SHBG gene that together almost double the proportion of
variance explained at the locus. Using an independent study of 1,129 individuals, all SNPs identified in the overall or sexdifferentiated
or conditional analyses explained ,15.6% and ,8.4% of the genetic variation of SHBG concentrations in men
and women, respectively. The evidence for sex-differentiated effects and allelic heterogeneity highlight the importance of
considering these features when estimating complex trait variance.
Date Issued
2012-07-01
Date Acceptance
2012-05-19
Citation
PLOS Genetics, 2012, 8 (7)
ISSN
1553-7390
Publisher
Public Library of Science
Journal / Book Title
PLOS Genetics
Volume
8
Issue
7
Copyright Statement
This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for
any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
License URL
Sponsor
Medical Research Council (MRC)
Medical Research Council (MRC)
Grant Number
G0801056B
G0802782
Subjects
Science & Technology
Life Sciences & Biomedicine
Genetics & Heredity
GENETICS & HEREDITY
POLYCYSTIC-OVARY-SYNDROME
RECEPTOR TYROSINE KINASE
HAN CHINESE POPULATION
INSULIN-RECEPTOR
GENE-EXPRESSION
SHBG GENE
MEDICAL PROGRESS
GCKR RS780094
RISK
POLYMORPHISM
Publication Status
Published
Article Number
e1002805