Composite of Multiple Signals Distinguishes Causal Variants in Regions of Positive Selection

The human genome contains hundreds of regions whose patterns of genetic variation indicate recent positive natural selection, yet for most the underlying gene and the advantageous mutation remain unknown. We developed a method, composite of multiple signals (CMS), that combines tests for multiple si...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Science (American Association for the Advancement of Science) 2010-02, Vol.327 (5967), p.883-886
Hauptverfasser: Grossman, Sharon R, Shylakhter, Ilya, Karlsson, Elinor K, Byrne, Elizabeth H, Morales, Shannon, Frieden, Gabriel, Hostetter, Elizabeth, Angelino, Elaine, Garber, Manuel, Zuk, Or, Lander, Eric S, Schaffner, Stephen F, Sabeti, Pardis C
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 886
container_issue 5967
container_start_page 883
container_title Science (American Association for the Advancement of Science)
container_volume 327
creator Grossman, Sharon R
Shylakhter, Ilya
Karlsson, Elinor K
Byrne, Elizabeth H
Morales, Shannon
Frieden, Gabriel
Hostetter, Elizabeth
Angelino, Elaine
Garber, Manuel
Zuk, Or
Lander, Eric S
Schaffner, Stephen F
Sabeti, Pardis C
description The human genome contains hundreds of regions whose patterns of genetic variation indicate recent positive natural selection, yet for most the underlying gene and the advantageous mutation remain unknown. We developed a method, composite of multiple signals (CMS), that combines tests for multiple signals of selection and increases resolution by up to 100-fold. By applying CMS to candidate regions from the International Haplotype Map, we localized population-specific selective signals to 55 kilobases (median), identifying known and novel causal variants. CMS can not just identify individual loci but implicates precise variants selected by evolution.
doi_str_mv 10.1126/science.1183863
format Article
fullrecord <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_745930351</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>40509918</jstor_id><sourcerecordid>40509918</sourcerecordid><originalsourceid>FETCH-LOGICAL-c600t-416304cb9c8ff92b8accdd20478720f91e54ee8b8a257ad262ef4190d53545123</originalsourceid><addsrcrecordid>eNqNkc2LFDEQxYMo7jh69qQ2gnhqt_LVnRxl_IQVxXU9CSGTTsYMPZ3ZVLfgf2-aaVfwoqeQer96RdUj5CGFF5Sy5hxd9IPz5aO4avgtsqKgZa0Z8NtkBcCbWkErz8g9xD1A0TS_S84YgGyUlCvybZMOx4Rx9FUK1YepH-Ox99Vl3A22x-pVxDEOuynid4_Vxk5o--qrzdEOI1ZxqD77XUwDzs2fZpv4ozT73ruxlO-TO6G4-AfLuyZXb15_2byrLz6-fb95eVG7BmCsBW04CLfVToWg2VZZ57qOgWhVyyBo6qXwXpU6k63tWMN8EFRDJ7kUkjK-Js9PvsecriePozlEdL7v7eDThKYVZW3gkv4HyaXiEvi_Sc7LBYHrQj79i9ynKc_nM4zyBpgqOazJ-QlyOSFmH8wxx4PNPw0FM0dplijNEmXpeLzYTtuD727439kV4NkCWHS2D9kOLuIfjgmQTMw7PzpxexxTvtGLClqXYWvy5KQHm4zd5eJxdcmAcqAKmBaC_wJeRblC</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>213602800</pqid></control><display><type>article</type><title>Composite of Multiple Signals Distinguishes Causal Variants in Regions of Positive Selection</title><source>American Association for the Advancement of Science</source><source>Jstor Complete Legacy</source><source>MEDLINE</source><creator>Grossman, Sharon R ; Shylakhter, Ilya ; Karlsson, Elinor K ; Byrne, Elizabeth H ; Morales, Shannon ; Frieden, Gabriel ; Hostetter, Elizabeth ; Angelino, Elaine ; Garber, Manuel ; Zuk, Or ; Lander, Eric S ; Schaffner, Stephen F ; Sabeti, Pardis C</creator><creatorcontrib>Grossman, Sharon R ; Shylakhter, Ilya ; Karlsson, Elinor K ; Byrne, Elizabeth H ; Morales, Shannon ; Frieden, Gabriel ; Hostetter, Elizabeth ; Angelino, Elaine ; Garber, Manuel ; Zuk, Or ; Lander, Eric S ; Schaffner, Stephen F ; Sabeti, Pardis C</creatorcontrib><description>The human genome contains hundreds of regions whose patterns of genetic variation indicate recent positive natural selection, yet for most the underlying gene and the advantageous mutation remain unknown. We developed a method, composite of multiple signals (CMS), that combines tests for multiple signals of selection and increases resolution by up to 100-fold. By applying CMS to candidate regions from the International Haplotype Map, we localized population-specific selective signals to 55 kilobases (median), identifying known and novel causal variants. CMS can not just identify individual loci but implicates precise variants selected by evolution.</description><identifier>ISSN: 0036-8075</identifier><identifier>EISSN: 1095-9203</identifier><identifier>DOI: 10.1126/science.1183863</identifier><identifier>PMID: 20056855</identifier><identifier>CODEN: SCIEAS</identifier><language>eng</language><publisher>Washington, DC: American Association for the Advancement of Science</publisher><subject>Alleles ; Biological and medical sciences ; Biological evolution ; Cellular biology ; Computational Biology - methods ; Datasets ; DNA, Intergenic - genetics ; Evolution ; Evolution, Molecular ; Evolutionary biology ; Fundamental and applied biological sciences. Psychology ; Genes ; Genetic diversity ; Genetic Loci ; Genetic mutation ; Genetic Variation ; Genetics of eukaryotes. Biological and molecular evolution ; Genome, Human ; Genomes ; Genomics ; Haplotypes ; Humans ; Mutation ; Polymorphism, Genetic ; Population Groups - genetics ; Positive selection ; Regulatory Sequences, Nucleic Acid - genetics ; Selection, Genetic ; Signal transduction ; Software</subject><ispartof>Science (American Association for the Advancement of Science), 2010-02, Vol.327 (5967), p.883-886</ispartof><rights>Copyright 2010 American Association for the Advancement of Science</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2010, American Association for the Advancement of Science</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c600t-416304cb9c8ff92b8accdd20478720f91e54ee8b8a257ad262ef4190d53545123</citedby><cites>FETCH-LOGICAL-c600t-416304cb9c8ff92b8accdd20478720f91e54ee8b8a257ad262ef4190d53545123</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/40509918$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/40509918$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,2871,2872,27901,27902,57992,58225</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=22405241$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20056855$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Grossman, Sharon R</creatorcontrib><creatorcontrib>Shylakhter, Ilya</creatorcontrib><creatorcontrib>Karlsson, Elinor K</creatorcontrib><creatorcontrib>Byrne, Elizabeth H</creatorcontrib><creatorcontrib>Morales, Shannon</creatorcontrib><creatorcontrib>Frieden, Gabriel</creatorcontrib><creatorcontrib>Hostetter, Elizabeth</creatorcontrib><creatorcontrib>Angelino, Elaine</creatorcontrib><creatorcontrib>Garber, Manuel</creatorcontrib><creatorcontrib>Zuk, Or</creatorcontrib><creatorcontrib>Lander, Eric S</creatorcontrib><creatorcontrib>Schaffner, Stephen F</creatorcontrib><creatorcontrib>Sabeti, Pardis C</creatorcontrib><title>Composite of Multiple Signals Distinguishes Causal Variants in Regions of Positive Selection</title><title>Science (American Association for the Advancement of Science)</title><addtitle>Science</addtitle><description>The human genome contains hundreds of regions whose patterns of genetic variation indicate recent positive natural selection, yet for most the underlying gene and the advantageous mutation remain unknown. We developed a method, composite of multiple signals (CMS), that combines tests for multiple signals of selection and increases resolution by up to 100-fold. By applying CMS to candidate regions from the International Haplotype Map, we localized population-specific selective signals to 55 kilobases (median), identifying known and novel causal variants. CMS can not just identify individual loci but implicates precise variants selected by evolution.</description><subject>Alleles</subject><subject>Biological and medical sciences</subject><subject>Biological evolution</subject><subject>Cellular biology</subject><subject>Computational Biology - methods</subject><subject>Datasets</subject><subject>DNA, Intergenic - genetics</subject><subject>Evolution</subject><subject>Evolution, Molecular</subject><subject>Evolutionary biology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Genes</subject><subject>Genetic diversity</subject><subject>Genetic Loci</subject><subject>Genetic mutation</subject><subject>Genetic Variation</subject><subject>Genetics of eukaryotes. Biological and molecular evolution</subject><subject>Genome, Human</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Haplotypes</subject><subject>Humans</subject><subject>Mutation</subject><subject>Polymorphism, Genetic</subject><subject>Population Groups - genetics</subject><subject>Positive selection</subject><subject>Regulatory Sequences, Nucleic Acid - genetics</subject><subject>Selection, Genetic</subject><subject>Signal transduction</subject><subject>Software</subject><issn>0036-8075</issn><issn>1095-9203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkc2LFDEQxYMo7jh69qQ2gnhqt_LVnRxl_IQVxXU9CSGTTsYMPZ3ZVLfgf2-aaVfwoqeQer96RdUj5CGFF5Sy5hxd9IPz5aO4avgtsqKgZa0Z8NtkBcCbWkErz8g9xD1A0TS_S84YgGyUlCvybZMOx4Rx9FUK1YepH-Ox99Vl3A22x-pVxDEOuynid4_Vxk5o--qrzdEOI1ZxqD77XUwDzs2fZpv4ozT73ruxlO-TO6G4-AfLuyZXb15_2byrLz6-fb95eVG7BmCsBW04CLfVToWg2VZZ57qOgWhVyyBo6qXwXpU6k63tWMN8EFRDJ7kUkjK-Js9PvsecriePozlEdL7v7eDThKYVZW3gkv4HyaXiEvi_Sc7LBYHrQj79i9ynKc_nM4zyBpgqOazJ-QlyOSFmH8wxx4PNPw0FM0dplijNEmXpeLzYTtuD727439kV4NkCWHS2D9kOLuIfjgmQTMw7PzpxexxTvtGLClqXYWvy5KQHm4zd5eJxdcmAcqAKmBaC_wJeRblC</recordid><startdate>20100212</startdate><enddate>20100212</enddate><creator>Grossman, Sharon R</creator><creator>Shylakhter, Ilya</creator><creator>Karlsson, Elinor K</creator><creator>Byrne, Elizabeth H</creator><creator>Morales, Shannon</creator><creator>Frieden, Gabriel</creator><creator>Hostetter, Elizabeth</creator><creator>Angelino, Elaine</creator><creator>Garber, Manuel</creator><creator>Zuk, Or</creator><creator>Lander, Eric S</creator><creator>Schaffner, Stephen F</creator><creator>Sabeti, Pardis C</creator><general>American Association for the Advancement of Science</general><general>The American Association for the Advancement of Science</general><scope>FBQ</scope><scope>IQODW</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>7QF</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QQ</scope><scope>7QR</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7SS</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7TK</scope><scope>7TM</scope><scope>7U5</scope><scope>7U9</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>H94</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>20100212</creationdate><title>Composite of Multiple Signals Distinguishes Causal Variants in Regions of Positive Selection</title><author>Grossman, Sharon R ; Shylakhter, Ilya ; Karlsson, Elinor K ; Byrne, Elizabeth H ; Morales, Shannon ; Frieden, Gabriel ; Hostetter, Elizabeth ; Angelino, Elaine ; Garber, Manuel ; Zuk, Or ; Lander, Eric S ; Schaffner, Stephen F ; Sabeti, Pardis C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c600t-416304cb9c8ff92b8accdd20478720f91e54ee8b8a257ad262ef4190d53545123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Alleles</topic><topic>Biological and medical sciences</topic><topic>Biological evolution</topic><topic>Cellular biology</topic><topic>Computational Biology - methods</topic><topic>Datasets</topic><topic>DNA, Intergenic - genetics</topic><topic>Evolution</topic><topic>Evolution, Molecular</topic><topic>Evolutionary biology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Genes</topic><topic>Genetic diversity</topic><topic>Genetic Loci</topic><topic>Genetic mutation</topic><topic>Genetic Variation</topic><topic>Genetics of eukaryotes. Biological and molecular evolution</topic><topic>Genome, Human</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Haplotypes</topic><topic>Humans</topic><topic>Mutation</topic><topic>Polymorphism, Genetic</topic><topic>Population Groups - genetics</topic><topic>Positive selection</topic><topic>Regulatory Sequences, Nucleic Acid - genetics</topic><topic>Selection, Genetic</topic><topic>Signal transduction</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Grossman, Sharon R</creatorcontrib><creatorcontrib>Shylakhter, Ilya</creatorcontrib><creatorcontrib>Karlsson, Elinor K</creatorcontrib><creatorcontrib>Byrne, Elizabeth H</creatorcontrib><creatorcontrib>Morales, Shannon</creatorcontrib><creatorcontrib>Frieden, Gabriel</creatorcontrib><creatorcontrib>Hostetter, Elizabeth</creatorcontrib><creatorcontrib>Angelino, Elaine</creatorcontrib><creatorcontrib>Garber, Manuel</creatorcontrib><creatorcontrib>Zuk, Or</creatorcontrib><creatorcontrib>Lander, Eric S</creatorcontrib><creatorcontrib>Schaffner, Stephen F</creatorcontrib><creatorcontrib>Sabeti, Pardis C</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Ecology Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Science (American Association for the Advancement of Science)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Grossman, Sharon R</au><au>Shylakhter, Ilya</au><au>Karlsson, Elinor K</au><au>Byrne, Elizabeth H</au><au>Morales, Shannon</au><au>Frieden, Gabriel</au><au>Hostetter, Elizabeth</au><au>Angelino, Elaine</au><au>Garber, Manuel</au><au>Zuk, Or</au><au>Lander, Eric S</au><au>Schaffner, Stephen F</au><au>Sabeti, Pardis C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Composite of Multiple Signals Distinguishes Causal Variants in Regions of Positive Selection</atitle><jtitle>Science (American Association for the Advancement of Science)</jtitle><addtitle>Science</addtitle><date>2010-02-12</date><risdate>2010</risdate><volume>327</volume><issue>5967</issue><spage>883</spage><epage>886</epage><pages>883-886</pages><issn>0036-8075</issn><eissn>1095-9203</eissn><coden>SCIEAS</coden><abstract>The human genome contains hundreds of regions whose patterns of genetic variation indicate recent positive natural selection, yet for most the underlying gene and the advantageous mutation remain unknown. We developed a method, composite of multiple signals (CMS), that combines tests for multiple signals of selection and increases resolution by up to 100-fold. By applying CMS to candidate regions from the International Haplotype Map, we localized population-specific selective signals to 55 kilobases (median), identifying known and novel causal variants. CMS can not just identify individual loci but implicates precise variants selected by evolution.</abstract><cop>Washington, DC</cop><pub>American Association for the Advancement of Science</pub><pmid>20056855</pmid><doi>10.1126/science.1183863</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0036-8075
ispartof Science (American Association for the Advancement of Science), 2010-02, Vol.327 (5967), p.883-886
issn 0036-8075
1095-9203
language eng
recordid cdi_proquest_miscellaneous_745930351
source American Association for the Advancement of Science; Jstor Complete Legacy; MEDLINE
subjects Alleles
Biological and medical sciences
Biological evolution
Cellular biology
Computational Biology - methods
Datasets
DNA, Intergenic - genetics
Evolution
Evolution, Molecular
Evolutionary biology
Fundamental and applied biological sciences. Psychology
Genes
Genetic diversity
Genetic Loci
Genetic mutation
Genetic Variation
Genetics of eukaryotes. Biological and molecular evolution
Genome, Human
Genomes
Genomics
Haplotypes
Humans
Mutation
Polymorphism, Genetic
Population Groups - genetics
Positive selection
Regulatory Sequences, Nucleic Acid - genetics
Selection, Genetic
Signal transduction
Software
title Composite of Multiple Signals Distinguishes Causal Variants in Regions of Positive Selection
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T15%3A48%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Composite%20of%20Multiple%20Signals%20Distinguishes%20Causal%20Variants%20in%20Regions%20of%20Positive%20Selection&rft.jtitle=Science%20(American%20Association%20for%20the%20Advancement%20of%20Science)&rft.au=Grossman,%20Sharon%20R&rft.date=2010-02-12&rft.volume=327&rft.issue=5967&rft.spage=883&rft.epage=886&rft.pages=883-886&rft.issn=0036-8075&rft.eissn=1095-9203&rft.coden=SCIEAS&rft_id=info:doi/10.1126/science.1183863&rft_dat=%3Cjstor_proqu%3E40509918%3C/jstor_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=213602800&rft_id=info:pmid/20056855&rft_jstor_id=40509918&rfr_iscdi=true