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Meta-Analysis
. 2012;8(7):e1002805.
doi: 10.1371/journal.pgen.1002805. Epub 2012 Jul 19.

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

Andrea D Coviello  1 Robin HaringMelissa WellonsDhananjay VaidyaTerho LehtimäkiSarah KeildsonKathryn L LunettaChunyan HeMyriam FornageVasiliki LagouMassimo ManginoN Charlotte Onland-MoretBrian ChenJoel ErikssonMelissa GarciaYong Mei LiuAnnemarie KosterKurt LohmanLeo-Pekka LyytikäinenAnn-Kristin PetersenJennifer PrescottLisette StolkLiesbeth VandenputAndrew R WoodWei Vivian ZhuangAimo RuokonenAnna-Liisa HartikainenAnneli PoutaStefania BandinelliReiner BiffarGeorg BrabantDavid G CoxYuhui ChenSteven CummingsLuigi FerrucciMarc J GunterSusan E HankinsonHannu MartikainenAlbert HofmanGeorg HomuthThomas IlligJohn-Olov JanssonAndrew D JohnsonDavid KarasikMagnus KarlssonJohannes KettunenDouglas P KielPeter KraftJingmin LiuÖsten LjunggrenMattias LorentzonMarcello MaggioMarcello R P MarkusDan MellströmIva MiljkovicDaniel MirelSarah NelsonLaure Morin PapunenPetra H M PeetersInga ProkopenkoLeslie RaffelMartin ReinckeAlex P ReinerKathryn RexrodeFernando RivadeneiraStephen M SchwartzDavid SiscovickNicole SoranzoDoris StöcklShelley TworogerAndré G UitterlindenCarla H van GilsRamachandran S VasanH-Erich WichmannGuangju ZhaiShalender BhasinMartin BidlingmaierStephen J ChanockImmaculata De VivoTamara B HarrisDavid J HunterMika KähönenSimin LiuPamela OuyangTim D SpectorYvonne T van der SchouwJorma ViikariHenri WallaschofskiMark I McCarthyTimothy M FraylingAnna MurraySteve FranksMarjo-Riitta JärvelinFrank H de JongOlli RaitakariAlexander TeumerClaes OhlssonJoanne M MurabitoJohn R B Perry
Affiliations
Meta-Analysis

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

Andrea D Coviello et al. PLoS Genet. 2012.

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 = 1.8 × 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.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Manhattan plot of the autosomal SNPs identified in the GWA meta-analysis.
The Manhattan plot depicts the SNPs identified in the GWAS analysis labeled with the nearest gene on the plot. The SNP identified on the X chromosome, rs1573036, at Xq22.3, is not included in this figure.
Figure 2
Figure 2. Summary of the analytic plan.
Figure 3
Figure 3. Allelic heterogeneity at the SHBG gene locus.
There was significant allelic heterogeneity at the SHBG gene locus. The nine independent signals identified in the SHBG gene are shown in relation to their position within the gene. All positions based on build 36. Not all genes are shown.

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