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GWAS Study

A genome-wide association meta-analysis of circulating sex hormone-binding globulin reveals multiple Loci implicated in sex steroid hormone regulation.

Coviello AD, Haring R, Wellons M et al.

22829776 PubMed ID
GWAS Study Type
29966 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

CA
Coviello AD
HR
Haring R
WM
Wellons M
VD
Vaidya D
LT
Lehtimäki T
KS
Keildson S
LK
Lunetta KL
HC
He C
FM
Fornage M
LV
Lagou V
MM
Mangino M
ON
Onland-Moret NC
CB
Chen B
EJ
Eriksson J
GM
Garcia M
LY
Liu YM
KA
Koster A
LK
Lohman K
LL
Lyytikäinen LP
PA
Petersen AK
PJ
Prescott J
SL
Stolk L
VL
Vandenput L
WA
Wood AR
ZW
Zhuang WV
RA
Ruokonen A
HA
Hartikainen AL
PA
Pouta A
BS
Bandinelli S
BR
Biffar R
BG
Brabant G
CD
Cox DG
CY
Chen Y
CS
Cummings S
FL
Ferrucci L
GM
Gunter MJ
HS
Hankinson SE
MH
Martikainen H
HA
Hofman A
HG
Homuth G
IT
Illig T
JJ
Jansson JO
JA
Johnson AD
KD
Karasik D
KM
Karlsson M
KJ
Kettunen J
KD
Kiel DP
KP
Kraft P
LJ
Liu J
Ljunggren Ö
LM
Lorentzon M
MM
Maggio M
MM
Markus MR
MD
Mellström D
MI
Miljkovic I
MD
Mirel D
NS
Nelson S
MP
Morin Papunen L
PP
Peeters PH
PI
Prokopenko I
RL
Raffel L
RM
Reincke M
RA
Reiner AP
RK
Rexrode K
RF
Rivadeneira F
SS
Schwartz SM
SD
Siscovick D
SN
Soranzo N
SD
Stöckl D
TS
Tworoger S
UA
Uitterlinden AG
VG
van Gils CH
VR
Vasan RS
WH
Wichmann HE
ZG
Zhai G
BS
Bhasin S
BM
Bidlingmaier M
CS
Chanock SJ
DV
De Vivo I
HT
Harris TB
HD
Hunter DJ
KM
Kähönen M
LS
Liu S
OP
Ouyang P
ST
Spector TD
VD
van der Schouw YT
VJ
Viikari J
WH
Wallaschofski H
MM
McCarthy MI
FT
Frayling TM
MA
Murray A
FS
Franks S
JM
Järvelin MR
DJ
de Jong FH
RO
Raitakari O
TA
Teumer A
OC
Ohlsson C
MJ
Murabito JM
PJ
Perry JR
Chapter II

Abstract

Summary of the research findings

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 = 1.8 × 10(-106)), PRMT6 (rs17496332, 1p13.3, p = 1.4 × 10(-11)), GCKR (rs780093, 2p23.3, p = 2.2 × 10(-16)), ZBTB10 (rs440837, 8q21.13, p = 3.4 × 10(-09)), JMJD1C (rs7910927, 10q21.3, p = 6.1 × 10(-35)), SLCO1B1 (rs4149056, 12p12.1, p = 1.9 × 10(-08)), NR2F2 (rs8023580, 15q26.2, p = 8.3 × 10(-12)), ZNF652 (rs2411984, 17q21.32, p = 3.5 × 10(-14)), TDGF3 (rs1573036, Xq22.3, p = 4.1 × 10(-14)), LHCGR (rs10454142, 2p16.3, p = 1.3 × 10(-07)), BAIAP2L1 (rs3779195, 7q21.3, p = 2.7 × 10(-08)), and UGT2B15 (rs293428, 4q13.2, p = 5.5 × 10(-06)). 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 = 2.5 × 10(-08), 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 sex-differentiated 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.

21,791 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

29966
Total Participants
GWAS
Study Type
Yes
Replicated
8,175 European ancestry individuals
Replication Participants
European
Ancestry
Finland, Sweden, U.S., Netherlands, Germany, U.K., Italy
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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Analysis In Progress

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