Enhancer Domains Predict Gene Pathogenicity and Inform Gene Discovery in Complex Disease
Non-coding transcriptional regulatory elements are critical for controlling the spatiotemporal expression of genes. Here, we demonstrate that the sizes and number of enhancers linked to a gene reflect its disease pathogenicity. Moreover, genes with redundant enhancer domains are depleted of cis-acti...
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Veröffentlicht in: | American journal of human genetics 2020-02, Vol.106 (2), p.215-233 |
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description | Non-coding transcriptional regulatory elements are critical for controlling the spatiotemporal expression of genes. Here, we demonstrate that the sizes and number of enhancers linked to a gene reflect its disease pathogenicity. Moreover, genes with redundant enhancer domains are depleted of cis-acting genetic variants that disrupt gene expression, and they are buffered against the effects of disruptive non-coding mutations. Our results demonstrate that dosage-sensitive genes have evolved a robustness to the disruptive effects of genetic variation by expanding their regulatory domains. This solves a puzzle about why genes associated with human disease are depleted of cis-eQTLs (cis-expression quantitative trait loci), suggesting that this relationship might complicate gene identification in causal genome-wide association studies (GWASs) using eQTL information, and establishes a framework for identifying non-coding regulatory variation with phenotypic consequences. |
doi_str_mv | 10.1016/j.ajhg.2020.01.012 |
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Here, we demonstrate that the sizes and number of enhancers linked to a gene reflect its disease pathogenicity. Moreover, genes with redundant enhancer domains are depleted of cis-acting genetic variants that disrupt gene expression, and they are buffered against the effects of disruptive non-coding mutations. Our results demonstrate that dosage-sensitive genes have evolved a robustness to the disruptive effects of genetic variation by expanding their regulatory domains. This solves a puzzle about why genes associated with human disease are depleted of cis-eQTLs (cis-expression quantitative trait loci), suggesting that this relationship might complicate gene identification in causal genome-wide association studies (GWASs) using eQTL information, and establishes a framework for identifying non-coding regulatory variation with phenotypic consequences.</description><identifier>ISSN: 0002-9297</identifier><identifier>ISSN: 1537-6605</identifier><identifier>EISSN: 1537-6605</identifier><identifier>DOI: 10.1016/j.ajhg.2020.01.012</identifier><identifier>PMID: 32032514</identifier><language>eng</language><publisher>CAMBRIDGE: Elsevier Inc</publisher><subject>causal gene ; Developmental Disabilities - genetics ; Developmental Disabilities - pathology ; EDS ; enhancer ; enhancer domains ; Enhancer Elements, Genetic ; eQTLs ; Gene Expression Profiling ; Gene Expression Regulation ; gene regulation ; Genetic Variation ; Genetics & Heredity ; Genome-Wide Association Study ; Humans ; intolerance ; Life Sciences & Biomedicine ; Mendelian disease ; Multifactorial Inheritance - genetics ; pathogenicity ; Polymorphism, Single Nucleotide ; Quantitative Trait Loci ; Science & Technology</subject><ispartof>American journal of human genetics, 2020-02, Vol.106 (2), p.215-233</ispartof><rights>2020 American Society of Human Genetics</rights><rights>Copyright © 2020 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.</rights><rights>2020 American Society of Human Genetics. 2020 American Society of Human Genetics</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>48</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000512913300007</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c521t-b7a6215cd76acda928e739d9e6724a7a966b94342e33111bf17959755e00c8993</citedby><cites>FETCH-LOGICAL-c521t-b7a6215cd76acda928e739d9e6724a7a966b94342e33111bf17959755e00c8993</cites><orcidid>0000-0002-5198-6581</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010980/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ajhg.2020.01.012$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,3550,27924,27925,45995,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32032514$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Xinchen</creatorcontrib><creatorcontrib>Goldstein, David B.</creatorcontrib><title>Enhancer Domains Predict Gene Pathogenicity and Inform Gene Discovery in Complex Disease</title><title>American journal of human genetics</title><addtitle>AM J HUM GENET</addtitle><addtitle>Am J Hum Genet</addtitle><description>Non-coding transcriptional regulatory elements are critical for controlling the spatiotemporal expression of genes. Here, we demonstrate that the sizes and number of enhancers linked to a gene reflect its disease pathogenicity. Moreover, genes with redundant enhancer domains are depleted of cis-acting genetic variants that disrupt gene expression, and they are buffered against the effects of disruptive non-coding mutations. Our results demonstrate that dosage-sensitive genes have evolved a robustness to the disruptive effects of genetic variation by expanding their regulatory domains. This solves a puzzle about why genes associated with human disease are depleted of cis-eQTLs (cis-expression quantitative trait loci), suggesting that this relationship might complicate gene identification in causal genome-wide association studies (GWASs) using eQTL information, and establishes a framework for identifying non-coding regulatory variation with phenotypic consequences.</description><subject>causal gene</subject><subject>Developmental Disabilities - genetics</subject><subject>Developmental Disabilities - pathology</subject><subject>EDS</subject><subject>enhancer</subject><subject>enhancer domains</subject><subject>Enhancer Elements, Genetic</subject><subject>eQTLs</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation</subject><subject>gene regulation</subject><subject>Genetic Variation</subject><subject>Genetics & Heredity</subject><subject>Genome-Wide Association Study</subject><subject>Humans</subject><subject>intolerance</subject><subject>Life Sciences & Biomedicine</subject><subject>Mendelian disease</subject><subject>Multifactorial Inheritance - genetics</subject><subject>pathogenicity</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Quantitative Trait Loci</subject><subject>Science & Technology</subject><issn>0002-9297</issn><issn>1537-6605</issn><issn>1537-6605</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>EIF</sourceid><recordid>eNqNkdGKEzEUhoMobq2-gBcyl4JMPUmaSQMiyOy6Liy4FwrehUzmtE2ZSWoyrfbtzTC16I0IBxKS709y8hHyksKCAq3e7hZmt90sGDBYAM3FHpEZFVyWVQXiMZkBACsVU_KKPEtpB0DpCvhTcsUZcCbocka-3fit8RZjcR1643wqHiK2zg7FLXosHsywDRv0zrrhVBjfFnd-HWI_7V67ZMMR46lwvqhDv-_w57iIJuFz8mRtuoQvzuOcfP1486X-VN5_vr2rP9yXVjA6lI00FaPCtrIytjWKrVBy1SqsJFsaaVRVNWrJlww5p5Q2ayqVUFIIBLArpficvJ_O3R-aHluLfoim0_voehNPOhin_97xbqs34aglUFD5O-bk9fmAGL4fMA26z21h1xmP4ZA044JVXAo1omxCbQwpRVxfrqGgRyV6p0clelSigeZiOfTqzwdeIr8dZODNBPzAJqyTdZh9XLDsUFCmKOd5BjLTq_-nazeYwQVfh4MfcvTdFMXs4-gw6nO8dRHtoNvg_tXIL0LsvXo</recordid><startdate>20200206</startdate><enddate>20200206</enddate><creator>Wang, Xinchen</creator><creator>Goldstein, David B.</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><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>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5198-6581</orcidid></search><sort><creationdate>20200206</creationdate><title>Enhancer Domains Predict Gene Pathogenicity and Inform Gene Discovery in Complex Disease</title><author>Wang, Xinchen ; Goldstein, David B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c521t-b7a6215cd76acda928e739d9e6724a7a966b94342e33111bf17959755e00c8993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>causal gene</topic><topic>Developmental Disabilities - genetics</topic><topic>Developmental Disabilities - pathology</topic><topic>EDS</topic><topic>enhancer</topic><topic>enhancer domains</topic><topic>Enhancer Elements, Genetic</topic><topic>eQTLs</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation</topic><topic>gene regulation</topic><topic>Genetic Variation</topic><topic>Genetics & Heredity</topic><topic>Genome-Wide Association Study</topic><topic>Humans</topic><topic>intolerance</topic><topic>Life Sciences & Biomedicine</topic><topic>Mendelian disease</topic><topic>Multifactorial Inheritance - genetics</topic><topic>pathogenicity</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Quantitative Trait Loci</topic><topic>Science & Technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Xinchen</creatorcontrib><creatorcontrib>Goldstein, David B.</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>American journal of human genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Xinchen</au><au>Goldstein, David B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Enhancer Domains Predict Gene Pathogenicity and Inform Gene Discovery in Complex Disease</atitle><jtitle>American journal of human genetics</jtitle><stitle>AM J HUM GENET</stitle><addtitle>Am J Hum Genet</addtitle><date>2020-02-06</date><risdate>2020</risdate><volume>106</volume><issue>2</issue><spage>215</spage><epage>233</epage><pages>215-233</pages><issn>0002-9297</issn><issn>1537-6605</issn><eissn>1537-6605</eissn><abstract>Non-coding transcriptional regulatory elements are critical for controlling the spatiotemporal expression of genes. Here, we demonstrate that the sizes and number of enhancers linked to a gene reflect its disease pathogenicity. Moreover, genes with redundant enhancer domains are depleted of cis-acting genetic variants that disrupt gene expression, and they are buffered against the effects of disruptive non-coding mutations. Our results demonstrate that dosage-sensitive genes have evolved a robustness to the disruptive effects of genetic variation by expanding their regulatory domains. This solves a puzzle about why genes associated with human disease are depleted of cis-eQTLs (cis-expression quantitative trait loci), suggesting that this relationship might complicate gene identification in causal genome-wide association studies (GWASs) using eQTL information, and establishes a framework for identifying non-coding regulatory variation with phenotypic consequences.</abstract><cop>CAMBRIDGE</cop><pub>Elsevier Inc</pub><pmid>32032514</pmid><doi>10.1016/j.ajhg.2020.01.012</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0002-5198-6581</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | causal gene Developmental Disabilities - genetics Developmental Disabilities - pathology EDS enhancer enhancer domains Enhancer Elements, Genetic eQTLs Gene Expression Profiling Gene Expression Regulation gene regulation Genetic Variation Genetics & Heredity Genome-Wide Association Study Humans intolerance Life Sciences & Biomedicine Mendelian disease Multifactorial Inheritance - genetics pathogenicity Polymorphism, Single Nucleotide Quantitative Trait Loci Science & Technology |
title | Enhancer Domains Predict Gene Pathogenicity and Inform Gene Discovery in Complex Disease |
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