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Genetic Correlation, Shared Loci, and Causal Association Between Sex Hormone-Binding Globulin and Bone Mineral Density: Insights From a Large-Scale Genomewide Cross-Trait Analysis
Although the impact of sex hormones on bone metabolism is well-documented, effect of their primary modulator, sex hormone-binding globulin (SHBG), remains inconclusive. This study aims to elucidate the genetic overlap between SHBG and heel estimated bone mineral density (eBMD), a widely-accepted too...
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Published in: | Journal of bone and mineral research 2023-11, Vol.38 (11), p.1635-1644 |
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creator | Qu, Yang Xiao, Changfeng Wu, Xueyao Zhu, Jingwei Qin, Chenjiarui He, Lin Cui, Huijie Zhang, Li Zhang, Wenqiang Yang, Chunxia Yao, Yuqin Li, Jiayuan Liu, Zhenmi Zhang, Ben Wang, Wenzhi Jiang, Xia |
description | Although the impact of sex hormones on bone metabolism is well-documented, effect of their primary modulator, sex hormone-binding globulin (SHBG), remains inconclusive. This study aims to elucidate the genetic overlap between SHBG and heel estimated bone mineral density (eBMD), a widely-accepted tool for osteoporosis management and fracture risk assessment. Using summary statistics from large-scale genomewide association studies conducted for SHBG (N = 370,125), SHBG adjusted for body mass index (SHBGa, N = 368,929), and eBMD (N = 426,824), a comprehensive genomewide cross-trait approach was performed to quantify global and local genetic correlations, identify pleiotropic loci, and infer causal associations. A significant overall inverse genetic correlation was found for SHBG and eBMD (r
= -0.11, p = 3.34 × 10
), which was further supported by the significant local genetic correlations observed in 11 genomic regions. Cross-trait meta-analysis revealed 219 shared loci, of which seven were novel. Notably, four novel loci (rs6542680, rs8178616, rs147110934, and rs815625) were further demonstrated to colocalize. Mendelian randomization identified a robust causal effect of SHBG on eBMD (beta = -0.22, p = 3.04 × 10
), with comparable effect sizes observed in both men (beta = -0.16, p = 1.99 × 10
) and women (beta = -0.19, p = 2.73 × 10
). Replacing SHBG with SHBGa, the observed genetic correlations, pleiotropic loci and causal associations did not change substantially. Our work reveals a shared genetic basis between SHBG and eBMD, substantiated by multiple pleiotropic loci and a robust causal relationship. Although SHBG has been implicated in preventing and screening aging-related diseases, our findings support its etiological role in osteoporosis. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR). |
doi_str_mv | 10.1002/jbmr.4904 |
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= -0.11, p = 3.34 × 10
), which was further supported by the significant local genetic correlations observed in 11 genomic regions. Cross-trait meta-analysis revealed 219 shared loci, of which seven were novel. Notably, four novel loci (rs6542680, rs8178616, rs147110934, and rs815625) were further demonstrated to colocalize. Mendelian randomization identified a robust causal effect of SHBG on eBMD (beta = -0.22, p = 3.04 × 10
), with comparable effect sizes observed in both men (beta = -0.16, p = 1.99 × 10
) and women (beta = -0.19, p = 2.73 × 10
). Replacing SHBG with SHBGa, the observed genetic correlations, pleiotropic loci and causal associations did not change substantially. Our work reveals a shared genetic basis between SHBG and eBMD, substantiated by multiple pleiotropic loci and a robust causal relationship. Although SHBG has been implicated in preventing and screening aging-related diseases, our findings support its etiological role in osteoporosis. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).</description><identifier>ISSN: 0884-0431</identifier><identifier>ISSN: 1523-4681</identifier><identifier>EISSN: 1523-4681</identifier><identifier>DOI: 10.1002/jbmr.4904</identifier><identifier>PMID: 37615194</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Body mass index ; Bone density ; Bone Density - genetics ; Bone mineral density ; Bone turnover ; Female ; Genome-wide association studies ; Genome-Wide Association Study ; Globulins ; Humans ; Male ; Medicin och hälsovetenskap ; Mendelian Randomization Analysis ; Minerals - metabolism ; Osteoporosis ; Osteoporosis - genetics ; Osteoporosis - metabolism ; Phenotype ; Risk assessment ; Sex Hormone-Binding Globulin - genetics ; Sex Hormone-Binding Globulin - metabolism ; Sex hormones ; Statistical analysis</subject><ispartof>Journal of bone and mineral research, 2023-11, Vol.38 (11), p.1635-1644</ispartof><rights>2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).</rights><rights>2023. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c436t-338d8dc13cc492d3a02a423e32fd9b8a3ad40459c851605230f3e6a33ac65be43</citedby><cites>FETCH-LOGICAL-c436t-338d8dc13cc492d3a02a423e32fd9b8a3ad40459c851605230f3e6a33ac65be43</cites><orcidid>0000-0001-5878-8986</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37615194$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:153887760$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Qu, Yang</creatorcontrib><creatorcontrib>Xiao, Changfeng</creatorcontrib><creatorcontrib>Wu, Xueyao</creatorcontrib><creatorcontrib>Zhu, Jingwei</creatorcontrib><creatorcontrib>Qin, Chenjiarui</creatorcontrib><creatorcontrib>He, Lin</creatorcontrib><creatorcontrib>Cui, Huijie</creatorcontrib><creatorcontrib>Zhang, Li</creatorcontrib><creatorcontrib>Zhang, Wenqiang</creatorcontrib><creatorcontrib>Yang, Chunxia</creatorcontrib><creatorcontrib>Yao, Yuqin</creatorcontrib><creatorcontrib>Li, Jiayuan</creatorcontrib><creatorcontrib>Liu, Zhenmi</creatorcontrib><creatorcontrib>Zhang, Ben</creatorcontrib><creatorcontrib>Wang, Wenzhi</creatorcontrib><creatorcontrib>Jiang, Xia</creatorcontrib><title>Genetic Correlation, Shared Loci, and Causal Association Between Sex Hormone-Binding Globulin and Bone Mineral Density: Insights From a Large-Scale Genomewide Cross-Trait Analysis</title><title>Journal of bone and mineral research</title><addtitle>J Bone Miner Res</addtitle><description>Although the impact of sex hormones on bone metabolism is well-documented, effect of their primary modulator, sex hormone-binding globulin (SHBG), remains inconclusive. This study aims to elucidate the genetic overlap between SHBG and heel estimated bone mineral density (eBMD), a widely-accepted tool for osteoporosis management and fracture risk assessment. Using summary statistics from large-scale genomewide association studies conducted for SHBG (N = 370,125), SHBG adjusted for body mass index (SHBGa, N = 368,929), and eBMD (N = 426,824), a comprehensive genomewide cross-trait approach was performed to quantify global and local genetic correlations, identify pleiotropic loci, and infer causal associations. A significant overall inverse genetic correlation was found for SHBG and eBMD (r
= -0.11, p = 3.34 × 10
), which was further supported by the significant local genetic correlations observed in 11 genomic regions. Cross-trait meta-analysis revealed 219 shared loci, of which seven were novel. Notably, four novel loci (rs6542680, rs8178616, rs147110934, and rs815625) were further demonstrated to colocalize. Mendelian randomization identified a robust causal effect of SHBG on eBMD (beta = -0.22, p = 3.04 × 10
), with comparable effect sizes observed in both men (beta = -0.16, p = 1.99 × 10
) and women (beta = -0.19, p = 2.73 × 10
). Replacing SHBG with SHBGa, the observed genetic correlations, pleiotropic loci and causal associations did not change substantially. Our work reveals a shared genetic basis between SHBG and eBMD, substantiated by multiple pleiotropic loci and a robust causal relationship. Although SHBG has been implicated in preventing and screening aging-related diseases, our findings support its etiological role in osteoporosis. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).</description><subject>Body mass index</subject><subject>Bone density</subject><subject>Bone Density - genetics</subject><subject>Bone mineral density</subject><subject>Bone turnover</subject><subject>Female</subject><subject>Genome-wide association studies</subject><subject>Genome-Wide Association Study</subject><subject>Globulins</subject><subject>Humans</subject><subject>Male</subject><subject>Medicin och hälsovetenskap</subject><subject>Mendelian Randomization Analysis</subject><subject>Minerals - metabolism</subject><subject>Osteoporosis</subject><subject>Osteoporosis - genetics</subject><subject>Osteoporosis - metabolism</subject><subject>Phenotype</subject><subject>Risk assessment</subject><subject>Sex Hormone-Binding Globulin - genetics</subject><subject>Sex Hormone-Binding Globulin - metabolism</subject><subject>Sex hormones</subject><subject>Statistical analysis</subject><issn>0884-0431</issn><issn>1523-4681</issn><issn>1523-4681</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp1ks9uEzEQxlcIREPhwAsgS1xA6hZ7_We93JKFppWCOKScV157kjrs2qm9q5Dn4gVxmrRISJzGGv--mdGnL8veEnxJMC4-bdo-XLIKs2fZhPCC5kxI8jybYClZjhklZ9mrGDcYY8GFeJmd0VIQTio2yX7PwcFgNap9CNCpwXp3gZZ3KoBBC6_tBVLOoFqNUXVoGmNqPUBoBsMOwKEl_ELXPvTeQT6zzli3RvPOt2Nn3YN2ln7QN-sgpAlfwEU77D-jm1TXd0NEV8H3SKGFCmvIl1p1gNJNvoedNYDq4GPMb4OyA5o61e2jja-zFyvVRXhzqufZj6uvt_V1vvg-v6mni1wzKoacUmmk0YRqzarCUIULxQoKtFiZqpWKKsMw45WWnAicbMMrCkJRqrTgLTB6nuXHuXEH27FttsH2Kuwbr2xzav1ML2hE2sd54qv_8tvgzV_Ro5BwKmVZCpy0H47aBN6PEIemt1FD1ykHfoxNIQWTVSU4Tej7f9CNH0Py5kBVvBS0lCRRH4-UPjgYYPV0DsHNITXNITXNITWJfXeaOLY9mCfyMSb0D0MRv68</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Qu, Yang</creator><creator>Xiao, Changfeng</creator><creator>Wu, Xueyao</creator><creator>Zhu, Jingwei</creator><creator>Qin, Chenjiarui</creator><creator>He, Lin</creator><creator>Cui, Huijie</creator><creator>Zhang, Li</creator><creator>Zhang, Wenqiang</creator><creator>Yang, Chunxia</creator><creator>Yao, Yuqin</creator><creator>Li, Jiayuan</creator><creator>Liu, Zhenmi</creator><creator>Zhang, Ben</creator><creator>Wang, Wenzhi</creator><creator>Jiang, Xia</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7TS</scope><scope>K9.</scope><scope>7X8</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>ZZAVC</scope><orcidid>https://orcid.org/0000-0001-5878-8986</orcidid></search><sort><creationdate>20231101</creationdate><title>Genetic Correlation, Shared Loci, and Causal Association Between Sex Hormone-Binding Globulin and Bone Mineral Density: Insights From a Large-Scale Genomewide Cross-Trait Analysis</title><author>Qu, Yang ; Xiao, Changfeng ; Wu, Xueyao ; Zhu, Jingwei ; Qin, Chenjiarui ; He, Lin ; Cui, Huijie ; Zhang, Li ; Zhang, Wenqiang ; Yang, Chunxia ; Yao, Yuqin ; Li, Jiayuan ; Liu, Zhenmi ; Zhang, Ben ; Wang, Wenzhi ; Jiang, Xia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c436t-338d8dc13cc492d3a02a423e32fd9b8a3ad40459c851605230f3e6a33ac65be43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Body mass index</topic><topic>Bone density</topic><topic>Bone Density - genetics</topic><topic>Bone mineral density</topic><topic>Bone turnover</topic><topic>Female</topic><topic>Genome-wide association studies</topic><topic>Genome-Wide Association Study</topic><topic>Globulins</topic><topic>Humans</topic><topic>Male</topic><topic>Medicin och hälsovetenskap</topic><topic>Mendelian Randomization Analysis</topic><topic>Minerals - metabolism</topic><topic>Osteoporosis</topic><topic>Osteoporosis - genetics</topic><topic>Osteoporosis - metabolism</topic><topic>Phenotype</topic><topic>Risk assessment</topic><topic>Sex Hormone-Binding Globulin - genetics</topic><topic>Sex Hormone-Binding Globulin - metabolism</topic><topic>Sex hormones</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Qu, Yang</creatorcontrib><creatorcontrib>Xiao, Changfeng</creatorcontrib><creatorcontrib>Wu, Xueyao</creatorcontrib><creatorcontrib>Zhu, Jingwei</creatorcontrib><creatorcontrib>Qin, Chenjiarui</creatorcontrib><creatorcontrib>He, Lin</creatorcontrib><creatorcontrib>Cui, Huijie</creatorcontrib><creatorcontrib>Zhang, Li</creatorcontrib><creatorcontrib>Zhang, Wenqiang</creatorcontrib><creatorcontrib>Yang, Chunxia</creatorcontrib><creatorcontrib>Yao, Yuqin</creatorcontrib><creatorcontrib>Li, Jiayuan</creatorcontrib><creatorcontrib>Liu, Zhenmi</creatorcontrib><creatorcontrib>Zhang, Ben</creatorcontrib><creatorcontrib>Wang, Wenzhi</creatorcontrib><creatorcontrib>Jiang, Xia</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Physical Education Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><jtitle>Journal of bone and mineral research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Qu, Yang</au><au>Xiao, Changfeng</au><au>Wu, Xueyao</au><au>Zhu, Jingwei</au><au>Qin, Chenjiarui</au><au>He, Lin</au><au>Cui, Huijie</au><au>Zhang, Li</au><au>Zhang, Wenqiang</au><au>Yang, Chunxia</au><au>Yao, Yuqin</au><au>Li, Jiayuan</au><au>Liu, Zhenmi</au><au>Zhang, Ben</au><au>Wang, Wenzhi</au><au>Jiang, Xia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic Correlation, Shared Loci, and Causal Association Between Sex Hormone-Binding Globulin and Bone Mineral Density: Insights From a Large-Scale Genomewide Cross-Trait Analysis</atitle><jtitle>Journal of bone and mineral research</jtitle><addtitle>J Bone Miner Res</addtitle><date>2023-11-01</date><risdate>2023</risdate><volume>38</volume><issue>11</issue><spage>1635</spage><epage>1644</epage><pages>1635-1644</pages><issn>0884-0431</issn><issn>1523-4681</issn><eissn>1523-4681</eissn><abstract>Although the impact of sex hormones on bone metabolism is well-documented, effect of their primary modulator, sex hormone-binding globulin (SHBG), remains inconclusive. This study aims to elucidate the genetic overlap between SHBG and heel estimated bone mineral density (eBMD), a widely-accepted tool for osteoporosis management and fracture risk assessment. Using summary statistics from large-scale genomewide association studies conducted for SHBG (N = 370,125), SHBG adjusted for body mass index (SHBGa, N = 368,929), and eBMD (N = 426,824), a comprehensive genomewide cross-trait approach was performed to quantify global and local genetic correlations, identify pleiotropic loci, and infer causal associations. A significant overall inverse genetic correlation was found for SHBG and eBMD (r
= -0.11, p = 3.34 × 10
), which was further supported by the significant local genetic correlations observed in 11 genomic regions. Cross-trait meta-analysis revealed 219 shared loci, of which seven were novel. Notably, four novel loci (rs6542680, rs8178616, rs147110934, and rs815625) were further demonstrated to colocalize. Mendelian randomization identified a robust causal effect of SHBG on eBMD (beta = -0.22, p = 3.04 × 10
), with comparable effect sizes observed in both men (beta = -0.16, p = 1.99 × 10
) and women (beta = -0.19, p = 2.73 × 10
). Replacing SHBG with SHBGa, the observed genetic correlations, pleiotropic loci and causal associations did not change substantially. Our work reveals a shared genetic basis between SHBG and eBMD, substantiated by multiple pleiotropic loci and a robust causal relationship. Although SHBG has been implicated in preventing and screening aging-related diseases, our findings support its etiological role in osteoporosis. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>37615194</pmid><doi>10.1002/jbmr.4904</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-5878-8986</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Body mass index Bone density Bone Density - genetics Bone mineral density Bone turnover Female Genome-wide association studies Genome-Wide Association Study Globulins Humans Male Medicin och hälsovetenskap Mendelian Randomization Analysis Minerals - metabolism Osteoporosis Osteoporosis - genetics Osteoporosis - metabolism Phenotype Risk assessment Sex Hormone-Binding Globulin - genetics Sex Hormone-Binding Globulin - metabolism Sex hormones Statistical analysis |
title | Genetic Correlation, Shared Loci, and Causal Association Between Sex Hormone-Binding Globulin and Bone Mineral Density: Insights From a Large-Scale Genomewide Cross-Trait Analysis |
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