Genomic characterisation of the overlap of endometriosis with 76 comorbidities identifies pleiotropic and causal mechanisms underlying disease risk
Comorbid conditions can be driven by underlying pleiotropic and causal mechanisms that can provide insights into shared molecular and biological processes contributing to disease risk. Endometriosis is a chronic condition affecting one in nine women of reproductive age and poses many challenges incl...
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Veröffentlicht in: | Human genetics 2023-09, Vol.142 (9), p.1345-1360 |
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description | Comorbid conditions can be driven by underlying pleiotropic and causal mechanisms that can provide insights into shared molecular and biological processes contributing to disease risk. Endometriosis is a chronic condition affecting one in nine women of reproductive age and poses many challenges including lengthy diagnostic delays and limited treatment efficacy owing to poor understanding of disease aetiology. To shed light on the underlying biological mechanisms and to identify potential risk factors, we examine the epidemiological and genomic relationship between endometriosis and its comorbidities. In the UK Biobank 292 ICD10 codes were epidemiologically correlated with endometriosis diagnosis, including gynaecological, immune, infection, pain, psychiatric, cancer, gastrointestinal, urinary, bone and cardiovascular traits. A subset of the identified comorbidities (
n
= 76) underwent follow-up genetic analysis. Whilst Mendelian randomisation suggested causality was not responsible for most comorbid relationships, 22 traits were genetically correlated with endometriosis, including pain, gynaecological and gastrointestinal traits, suggestive of a shared genetic background. Pleiotropic genetic variants and genes were identified using gene-based and colocalisation analysis. Shared genetic risk factors and potential target genes suggest a diverse collection of biological systems are involved in these comorbid relationships including coagulation factors, development of the female reproductive tract and cell proliferation. These findings highlight the diversity of traits with epidemiological and genomic overlap with endometriosis and implicate a key role for pleiotropy in the comorbid relationships. |
doi_str_mv | 10.1007/s00439-023-02582-w |
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n
= 76) underwent follow-up genetic analysis. Whilst Mendelian randomisation suggested causality was not responsible for most comorbid relationships, 22 traits were genetically correlated with endometriosis, including pain, gynaecological and gastrointestinal traits, suggestive of a shared genetic background. Pleiotropic genetic variants and genes were identified using gene-based and colocalisation analysis. Shared genetic risk factors and potential target genes suggest a diverse collection of biological systems are involved in these comorbid relationships including coagulation factors, development of the female reproductive tract and cell proliferation. These findings highlight the diversity of traits with epidemiological and genomic overlap with endometriosis and implicate a key role for pleiotropy in the comorbid relationships.</description><identifier>ISSN: 0340-6717</identifier><identifier>EISSN: 1432-1203</identifier><identifier>DOI: 10.1007/s00439-023-02582-w</identifier><identifier>PMID: 37410157</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Biomedical and Life Sciences ; Biomedicine ; Bone cancer ; Cell proliferation ; Chronic illnesses ; coagulation ; Comorbidity ; Endometriosis ; Epidemiology ; etiology ; female reproductive system ; gastrointestinal system ; Gene Function ; Genetic analysis ; genetic background ; Genetic diversity ; Genomics ; Gynecology ; Health aspects ; Health risk assessment ; Human Genetics ; Metabolic Diseases ; Molecular Medicine ; Original Investigation ; Pain ; Pleiotropy ; Reproductive system ; risk ; Risk factors</subject><ispartof>Human genetics, 2023-09, Vol.142 (9), p.1345-1360</ispartof><rights>The Author(s) 2023</rights><rights>2023. The Author(s).</rights><rights>COPYRIGHT 2023 Springer</rights><rights>The Author(s) 2023. This work 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-c609t-b45394a3e462739d8c213505ef31b7f324c17d6dbb1d4d32e1765d74954584a23</citedby><cites>FETCH-LOGICAL-c609t-b45394a3e462739d8c213505ef31b7f324c17d6dbb1d4d32e1765d74954584a23</cites><orcidid>0000-0003-2327-9465 ; 0000-0002-4140-8139 ; 0000-0003-4244-8842</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00439-023-02582-w$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00439-023-02582-w$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37410157$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>McGrath, Isabelle M.</creatorcontrib><creatorcontrib>Montgomery, Grant W.</creatorcontrib><creatorcontrib>Mortlock, Sally</creatorcontrib><creatorcontrib>International Endometriosis Genetics Consortium</creatorcontrib><title>Genomic characterisation of the overlap of endometriosis with 76 comorbidities identifies pleiotropic and causal mechanisms underlying disease risk</title><title>Human genetics</title><addtitle>Hum. Genet</addtitle><addtitle>Hum Genet</addtitle><description>Comorbid conditions can be driven by underlying pleiotropic and causal mechanisms that can provide insights into shared molecular and biological processes contributing to disease risk. Endometriosis is a chronic condition affecting one in nine women of reproductive age and poses many challenges including lengthy diagnostic delays and limited treatment efficacy owing to poor understanding of disease aetiology. To shed light on the underlying biological mechanisms and to identify potential risk factors, we examine the epidemiological and genomic relationship between endometriosis and its comorbidities. In the UK Biobank 292 ICD10 codes were epidemiologically correlated with endometriosis diagnosis, including gynaecological, immune, infection, pain, psychiatric, cancer, gastrointestinal, urinary, bone and cardiovascular traits. A subset of the identified comorbidities (
n
= 76) underwent follow-up genetic analysis. Whilst Mendelian randomisation suggested causality was not responsible for most comorbid relationships, 22 traits were genetically correlated with endometriosis, including pain, gynaecological and gastrointestinal traits, suggestive of a shared genetic background. Pleiotropic genetic variants and genes were identified using gene-based and colocalisation analysis. Shared genetic risk factors and potential target genes suggest a diverse collection of biological systems are involved in these comorbid relationships including coagulation factors, development of the female reproductive tract and cell proliferation. These findings highlight the diversity of traits with epidemiological and genomic overlap with endometriosis and implicate a key role for pleiotropy in the comorbid relationships.</description><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Bone cancer</subject><subject>Cell proliferation</subject><subject>Chronic illnesses</subject><subject>coagulation</subject><subject>Comorbidity</subject><subject>Endometriosis</subject><subject>Epidemiology</subject><subject>etiology</subject><subject>female reproductive system</subject><subject>gastrointestinal system</subject><subject>Gene Function</subject><subject>Genetic analysis</subject><subject>genetic background</subject><subject>Genetic diversity</subject><subject>Genomics</subject><subject>Gynecology</subject><subject>Health aspects</subject><subject>Health risk assessment</subject><subject>Human Genetics</subject><subject>Metabolic Diseases</subject><subject>Molecular Medicine</subject><subject>Original Investigation</subject><subject>Pain</subject><subject>Pleiotropy</subject><subject>Reproductive system</subject><subject>risk</subject><subject>Risk factors</subject><issn>0340-6717</issn><issn>1432-1203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><recordid>eNqFks1u1DAUhSMEotPCC7BAltjAIsW_cbJCVQWlUiUkftaWY9_MuCT2YDsd-hy8cD1MaRmEQJEVO_7usXPuqapnBB8TjOXrhDFnXY0pK0O0tN48qBaEM1oTitnDaoEZx3UjiTyoDlO6xJiIjorH1QGTnJSFXFQ_zsCHyRlkVjpqkyG6pLMLHoUB5RWgcAVx1OvtErwNE-ToQnIJbVxeIdkgE6YQe2dddpCQs-CzG7bT9Qgu5BjWRV17i4yekx7RBOUo79KU0OxtEb92fomsS6AToHL81yfVo0GPCZ7evo-qL-_efj59X198ODs_PbmoTYO7XPdcsI5rBryhknW2NZQwgQUMjPRyYJQbIm1j-55YbhkFIhthJe8EFy3XlB1Vb3a667mfwJpy86hHtY5u0vFaBe3U_o53K7UMV4pgzruukUXh5a1CDN9mSFlNLhkYR-0hzEkxIlhpBef0vyhtGeu6thVb1Rd_oJdhjr5YUSjRNFxIQu6ppR5BOT8Ur7XZiqoT2RQrJKeiUMd_ocpjoXQ9eBhc-b5X8GqvoDAZvudlaV5S558-7rN0x5oYUoow3HlHsNpGVO0iqkpE1c-Iqk0pev6763clvzJZALYDUtnyS4j3v_8P2RuGbvJj</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>McGrath, Isabelle M.</creator><creator>Montgomery, Grant W.</creator><creator>Mortlock, Sally</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7QP</scope><scope>7TK</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>RC3</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-2327-9465</orcidid><orcidid>https://orcid.org/0000-0002-4140-8139</orcidid><orcidid>https://orcid.org/0000-0003-4244-8842</orcidid></search><sort><creationdate>20230901</creationdate><title>Genomic characterisation of the overlap of endometriosis with 76 comorbidities identifies pleiotropic and causal mechanisms underlying disease risk</title><author>McGrath, Isabelle M. ; 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Genet</stitle><addtitle>Hum Genet</addtitle><date>2023-09-01</date><risdate>2023</risdate><volume>142</volume><issue>9</issue><spage>1345</spage><epage>1360</epage><pages>1345-1360</pages><issn>0340-6717</issn><eissn>1432-1203</eissn><abstract>Comorbid conditions can be driven by underlying pleiotropic and causal mechanisms that can provide insights into shared molecular and biological processes contributing to disease risk. Endometriosis is a chronic condition affecting one in nine women of reproductive age and poses many challenges including lengthy diagnostic delays and limited treatment efficacy owing to poor understanding of disease aetiology. To shed light on the underlying biological mechanisms and to identify potential risk factors, we examine the epidemiological and genomic relationship between endometriosis and its comorbidities. In the UK Biobank 292 ICD10 codes were epidemiologically correlated with endometriosis diagnosis, including gynaecological, immune, infection, pain, psychiatric, cancer, gastrointestinal, urinary, bone and cardiovascular traits. A subset of the identified comorbidities (
n
= 76) underwent follow-up genetic analysis. Whilst Mendelian randomisation suggested causality was not responsible for most comorbid relationships, 22 traits were genetically correlated with endometriosis, including pain, gynaecological and gastrointestinal traits, suggestive of a shared genetic background. Pleiotropic genetic variants and genes were identified using gene-based and colocalisation analysis. Shared genetic risk factors and potential target genes suggest a diverse collection of biological systems are involved in these comorbid relationships including coagulation factors, development of the female reproductive tract and cell proliferation. These findings highlight the diversity of traits with epidemiological and genomic overlap with endometriosis and implicate a key role for pleiotropy in the comorbid relationships.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>37410157</pmid><doi>10.1007/s00439-023-02582-w</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0003-2327-9465</orcidid><orcidid>https://orcid.org/0000-0002-4140-8139</orcidid><orcidid>https://orcid.org/0000-0003-4244-8842</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biomedical and Life Sciences Biomedicine Bone cancer Cell proliferation Chronic illnesses coagulation Comorbidity Endometriosis Epidemiology etiology female reproductive system gastrointestinal system Gene Function Genetic analysis genetic background Genetic diversity Genomics Gynecology Health aspects Health risk assessment Human Genetics Metabolic Diseases Molecular Medicine Original Investigation Pain Pleiotropy Reproductive system risk Risk factors |
title | Genomic characterisation of the overlap of endometriosis with 76 comorbidities identifies pleiotropic and causal mechanisms underlying disease risk |
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