Leveraging base-pair mammalian constraint to understand genetic variation and human disease
Thousands of genomic regions have been associated with heritable human diseases, but attempts to elucidate biological mechanisms are impeded by an inability to discern which genomic positions are functionally important. Evolutionary constraint is a powerful predictor of function, agnostic to cell ty...
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Veröffentlicht in: | Science (American Association for the Advancement of Science) 2023-04, Vol.380 (6643), p.eabn2937-eabn2937 |
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creator | Sullivan, Patrick F Meadows, Jennifer R S Gazal, Steven Phan, BaDoi N Li, Xue Genereux, Diane P Dong, Michael X Bianchi, Matteo Andrews, Gregory Sakthikumar, Sharadha Nordin, Jessika Roy, Ananya Christmas, Matthew J Marinescu, Voichita D Wang, Chao Wallerman, Ola Xue, James Yao, Shuyang Sun, Quan Szatkiewicz, Jin Wen, Jia Huckins, Laura M Lawler, Alyssa Keough, Kathleen C Zheng, Zhili Zeng, Jian Wray, Naomi R Li, Yun Johnson, Jessica Chen, Jiawen Paten, Benedict Reilly, Steven K Hughes, Graham M Weng, Zhiping Pollard, Katherine S Pfenning, Andreas R Forsberg-Nilsson, Karin Karlsson, Elinor K Lindblad-Toh, Kerstin |
description | Thousands of genomic regions have been associated with heritable human diseases, but attempts to elucidate biological mechanisms are impeded by an inability to discern which genomic positions are functionally important. Evolutionary constraint is a powerful predictor of function, agnostic to cell type or disease mechanism. Single-base phyloP scores from 240 mammals identified 3.3% of the human genome as significantly constrained and likely functional. We compared phyloP scores to genome annotation, association studies, copy-number variation, clinical genetics findings, and cancer data. Constrained positions are enriched for variants that explain common disease heritability more than other functional annotations. Our results improve variant annotation but also highlight that the regulatory landscape of the human genome still needs to be further explored and linked to disease. |
doi_str_mv | 10.1126/science.abn2937 |
format | Article |
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Evolutionary constraint is a powerful predictor of function, agnostic to cell type or disease mechanism. Single-base phyloP scores from 240 mammals identified 3.3% of the human genome as significantly constrained and likely functional. We compared phyloP scores to genome annotation, association studies, copy-number variation, clinical genetics findings, and cancer data. Constrained positions are enriched for variants that explain common disease heritability more than other functional annotations. Our results improve variant annotation but also highlight that the regulatory landscape of the human genome still needs to be further explored and linked to disease.</description><identifier>ISSN: 0036-8075</identifier><identifier>ISSN: 1095-9203</identifier><identifier>EISSN: 1095-9203</identifier><identifier>DOI: 10.1126/science.abn2937</identifier><identifier>PMID: 37104612</identifier><language>eng</language><publisher>United States: The American Association for the Advancement of Science</publisher><subject>Alleles ; Animals ; Annotations ; Biological Evolution ; Coding ; Constraints ; Developmental stages ; Disease ; Disease - genetics ; Encyclopedias ; Enrichment ; Evolution ; Gene expression ; Gene frequency ; Gene mapping ; Gene polymorphism ; Genetic diversity ; Genetic variance ; Genetic Variation ; Genetics ; Genome, Human ; Genome-wide association studies ; Genome-Wide Association Study ; Genomes ; Genomics ; Health risks ; Heritability ; Humans ; Mammals ; Molecular Sequence Annotation ; Nucleotides ; Polygenic inheritance ; Polymorphism ; Polymorphism, Single Nucleotide ; Primates ; Quantitative trait loci ; Single-nucleotide polymorphism</subject><ispartof>Science (American Association for the Advancement of Science), 2023-04, Vol.380 (6643), p.eabn2937-eabn2937</ispartof><rights>Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c497t-b6afbe106f3ecda95d164644e71b8a305e4b57719928271cdbaba6a8b31995ae3</citedby><cites>FETCH-LOGICAL-c497t-b6afbe106f3ecda95d164644e71b8a305e4b57719928271cdbaba6a8b31995ae3</cites><orcidid>0000-0002-0850-230X ; 0000-0003-4510-5730 ; 0000-0002-6619-873X ; 0000-0002-3032-7966 ; 0000-0002-9880-3965 ; 0000-0001-6331-5980 ; 0000-0002-5369-6502 ; 0000-0002-9870-6196 ; 0000-0001-8324-2803 ; 0000-0001-8801-5220 ; 0000-0002-7481-0511 ; 0000-0002-3447-9801 ; 0000-0001-9669-4470 ; 0000-0003-2102-221X ; 0000-0002-4343-3776 ; 0000-0003-4084-3099 ; 0000-0003-3088-345X ; 0000-0002-9126-2692 ; 0000-0002-8414-2190 ; 0000-0002-4519-3120 ; 0000-0003-3936-4023 ; 0000-0003-3140-1483 ; 0000-0003-0692-6245 ; 0000-0002-3332-5747 ; 0000-0002-9275-4189 ; 0000-0002-7746-8264 ; 0000-0002-6355-7581 ; 0000-0002-2151-5164 ; 0000-0002-4898-7401 ; 0000-0001-8863-3539 ; 0000-0001-7421-3357 ; 0000-0003-1037-7904 ; 0000-0003-3394-6495 ; 0000-0002-4803-4707 ; 0000-0001-8338-0253 ; 0000-0002-6193-534X ; 0000-0001-5770-0989</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,550,776,780,881,2871,2872,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37104612$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-505276$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:152780280$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Sullivan, Patrick F</creatorcontrib><creatorcontrib>Meadows, Jennifer R S</creatorcontrib><creatorcontrib>Gazal, Steven</creatorcontrib><creatorcontrib>Phan, BaDoi N</creatorcontrib><creatorcontrib>Li, Xue</creatorcontrib><creatorcontrib>Genereux, Diane P</creatorcontrib><creatorcontrib>Dong, Michael X</creatorcontrib><creatorcontrib>Bianchi, Matteo</creatorcontrib><creatorcontrib>Andrews, Gregory</creatorcontrib><creatorcontrib>Sakthikumar, Sharadha</creatorcontrib><creatorcontrib>Nordin, Jessika</creatorcontrib><creatorcontrib>Roy, Ananya</creatorcontrib><creatorcontrib>Christmas, Matthew J</creatorcontrib><creatorcontrib>Marinescu, Voichita D</creatorcontrib><creatorcontrib>Wang, Chao</creatorcontrib><creatorcontrib>Wallerman, Ola</creatorcontrib><creatorcontrib>Xue, James</creatorcontrib><creatorcontrib>Yao, Shuyang</creatorcontrib><creatorcontrib>Sun, Quan</creatorcontrib><creatorcontrib>Szatkiewicz, Jin</creatorcontrib><creatorcontrib>Wen, Jia</creatorcontrib><creatorcontrib>Huckins, Laura M</creatorcontrib><creatorcontrib>Lawler, Alyssa</creatorcontrib><creatorcontrib>Keough, Kathleen C</creatorcontrib><creatorcontrib>Zheng, Zhili</creatorcontrib><creatorcontrib>Zeng, Jian</creatorcontrib><creatorcontrib>Wray, Naomi R</creatorcontrib><creatorcontrib>Li, Yun</creatorcontrib><creatorcontrib>Johnson, Jessica</creatorcontrib><creatorcontrib>Chen, Jiawen</creatorcontrib><creatorcontrib>Paten, Benedict</creatorcontrib><creatorcontrib>Reilly, Steven K</creatorcontrib><creatorcontrib>Hughes, Graham M</creatorcontrib><creatorcontrib>Weng, Zhiping</creatorcontrib><creatorcontrib>Pollard, Katherine S</creatorcontrib><creatorcontrib>Pfenning, Andreas R</creatorcontrib><creatorcontrib>Forsberg-Nilsson, Karin</creatorcontrib><creatorcontrib>Karlsson, Elinor K</creatorcontrib><creatorcontrib>Lindblad-Toh, Kerstin</creatorcontrib><creatorcontrib>Zoonomia Consortium</creatorcontrib><title>Leveraging base-pair mammalian constraint to understand genetic variation and human disease</title><title>Science (American Association for the Advancement of Science)</title><addtitle>Science</addtitle><description>Thousands of genomic regions have been associated with heritable human diseases, but attempts to elucidate biological mechanisms are impeded by an inability to discern which genomic positions are functionally important. Evolutionary constraint is a powerful predictor of function, agnostic to cell type or disease mechanism. Single-base phyloP scores from 240 mammals identified 3.3% of the human genome as significantly constrained and likely functional. We compared phyloP scores to genome annotation, association studies, copy-number variation, clinical genetics findings, and cancer data. Constrained positions are enriched for variants that explain common disease heritability more than other functional annotations. 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base-pair mammalian constraint to understand genetic variation and human disease</title><author>Sullivan, Patrick F ; Meadows, Jennifer R S ; Gazal, Steven ; Phan, BaDoi N ; Li, Xue ; Genereux, Diane P ; Dong, Michael X ; Bianchi, Matteo ; Andrews, Gregory ; Sakthikumar, Sharadha ; Nordin, Jessika ; Roy, Ananya ; Christmas, Matthew J ; Marinescu, Voichita D ; Wang, Chao ; Wallerman, Ola ; Xue, James ; Yao, Shuyang ; Sun, Quan ; Szatkiewicz, Jin ; Wen, Jia ; Huckins, Laura M ; Lawler, Alyssa ; Keough, Kathleen C ; Zheng, Zhili ; Zeng, Jian ; Wray, Naomi R ; Li, Yun ; Johnson, Jessica ; Chen, Jiawen ; Paten, Benedict ; Reilly, Steven K ; Hughes, Graham M ; Weng, Zhiping ; Pollard, Katherine S ; Pfenning, Andreas R ; Forsberg-Nilsson, Karin ; Karlsson, Elinor K ; Lindblad-Toh, 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Uppsala universitet</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><jtitle>Science (American Association for the Advancement of Science)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sullivan, Patrick F</au><au>Meadows, Jennifer R S</au><au>Gazal, Steven</au><au>Phan, BaDoi N</au><au>Li, Xue</au><au>Genereux, Diane P</au><au>Dong, Michael X</au><au>Bianchi, Matteo</au><au>Andrews, Gregory</au><au>Sakthikumar, Sharadha</au><au>Nordin, Jessika</au><au>Roy, Ananya</au><au>Christmas, Matthew J</au><au>Marinescu, Voichita D</au><au>Wang, Chao</au><au>Wallerman, Ola</au><au>Xue, James</au><au>Yao, Shuyang</au><au>Sun, Quan</au><au>Szatkiewicz, Jin</au><au>Wen, Jia</au><au>Huckins, Laura M</au><au>Lawler, Alyssa</au><au>Keough, Kathleen C</au><au>Zheng, Zhili</au><au>Zeng, Jian</au><au>Wray, Naomi R</au><au>Li, Yun</au><au>Johnson, Jessica</au><au>Chen, Jiawen</au><au>Paten, Benedict</au><au>Reilly, Steven K</au><au>Hughes, Graham M</au><au>Weng, Zhiping</au><au>Pollard, Katherine S</au><au>Pfenning, Andreas R</au><au>Forsberg-Nilsson, Karin</au><au>Karlsson, Elinor K</au><au>Lindblad-Toh, Kerstin</au><aucorp>Zoonomia Consortium</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Leveraging base-pair mammalian constraint to understand genetic variation and human disease</atitle><jtitle>Science (American Association for the Advancement of Science)</jtitle><addtitle>Science</addtitle><date>2023-04-28</date><risdate>2023</risdate><volume>380</volume><issue>6643</issue><spage>eabn2937</spage><epage>eabn2937</epage><pages>eabn2937-eabn2937</pages><issn>0036-8075</issn><issn>1095-9203</issn><eissn>1095-9203</eissn><abstract>Thousands of genomic regions have been associated with heritable human diseases, but attempts to elucidate biological mechanisms are impeded by an inability to discern which genomic positions are functionally important. Evolutionary constraint is a powerful predictor of function, agnostic to cell type or disease mechanism. Single-base phyloP scores from 240 mammals identified 3.3% of the human genome as significantly constrained and likely functional. We compared phyloP scores to genome annotation, association studies, copy-number variation, clinical genetics findings, and cancer data. Constrained positions are enriched for variants that explain common disease heritability more than other functional annotations. Our results improve variant annotation but also highlight that the regulatory landscape of the human genome still needs to be further explored and linked to disease.</abstract><cop>United States</cop><pub>The American Association for the Advancement of Science</pub><pmid>37104612</pmid><doi>10.1126/science.abn2937</doi><orcidid>https://orcid.org/0000-0002-0850-230X</orcidid><orcidid>https://orcid.org/0000-0003-4510-5730</orcidid><orcidid>https://orcid.org/0000-0002-6619-873X</orcidid><orcidid>https://orcid.org/0000-0002-3032-7966</orcidid><orcidid>https://orcid.org/0000-0002-9880-3965</orcidid><orcidid>https://orcid.org/0000-0001-6331-5980</orcidid><orcidid>https://orcid.org/0000-0002-5369-6502</orcidid><orcidid>https://orcid.org/0000-0002-9870-6196</orcidid><orcidid>https://orcid.org/0000-0001-8324-2803</orcidid><orcidid>https://orcid.org/0000-0001-8801-5220</orcidid><orcidid>https://orcid.org/0000-0002-7481-0511</orcidid><orcidid>https://orcid.org/0000-0002-3447-9801</orcidid><orcidid>https://orcid.org/0000-0001-9669-4470</orcidid><orcidid>https://orcid.org/0000-0003-2102-221X</orcidid><orcidid>https://orcid.org/0000-0002-4343-3776</orcidid><orcidid>https://orcid.org/0000-0003-4084-3099</orcidid><orcidid>https://orcid.org/0000-0003-3088-345X</orcidid><orcidid>https://orcid.org/0000-0002-9126-2692</orcidid><orcidid>https://orcid.org/0000-0002-8414-2190</orcidid><orcidid>https://orcid.org/0000-0002-4519-3120</orcidid><orcidid>https://orcid.org/0000-0003-3936-4023</orcidid><orcidid>https://orcid.org/0000-0003-3140-1483</orcidid><orcidid>https://orcid.org/0000-0003-0692-6245</orcidid><orcidid>https://orcid.org/0000-0002-3332-5747</orcidid><orcidid>https://orcid.org/0000-0002-9275-4189</orcidid><orcidid>https://orcid.org/0000-0002-7746-8264</orcidid><orcidid>https://orcid.org/0000-0002-6355-7581</orcidid><orcidid>https://orcid.org/0000-0002-2151-5164</orcidid><orcidid>https://orcid.org/0000-0002-4898-7401</orcidid><orcidid>https://orcid.org/0000-0001-8863-3539</orcidid><orcidid>https://orcid.org/0000-0001-7421-3357</orcidid><orcidid>https://orcid.org/0000-0003-1037-7904</orcidid><orcidid>https://orcid.org/0000-0003-3394-6495</orcidid><orcidid>https://orcid.org/0000-0002-4803-4707</orcidid><orcidid>https://orcid.org/0000-0001-8338-0253</orcidid><orcidid>https://orcid.org/0000-0002-6193-534X</orcidid><orcidid>https://orcid.org/0000-0001-5770-0989</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0036-8075 |
ispartof | Science (American Association for the Advancement of Science), 2023-04, Vol.380 (6643), p.eabn2937-eabn2937 |
issn | 0036-8075 1095-9203 1095-9203 |
language | eng |
recordid | cdi_swepub_primary_oai_swepub_ki_se_446262 |
source | American Association for the Advancement of Science; MEDLINE; SWEPUB Freely available online |
subjects | Alleles Animals Annotations Biological Evolution Coding Constraints Developmental stages Disease Disease - genetics Encyclopedias Enrichment Evolution Gene expression Gene frequency Gene mapping Gene polymorphism Genetic diversity Genetic variance Genetic Variation Genetics Genome, Human Genome-wide association studies Genome-Wide Association Study Genomes Genomics Health risks Heritability Humans Mammals Molecular Sequence Annotation Nucleotides Polygenic inheritance Polymorphism Polymorphism, Single Nucleotide Primates Quantitative trait loci Single-nucleotide polymorphism |
title | Leveraging base-pair mammalian constraint to understand genetic variation and human disease |
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