Lessons from Dwarf8 on the strengths and weaknesses of structured association mapping

The strengths of association mapping lie in its resolution and allelic richness, but spurious associations arising from historical relationships and selection patterns need to be accounted for in statistical analyses. Here we reanalyze one of the first generation structured association mapping studi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PLoS genetics 2013-02, Vol.9 (2), p.e1003246-e1003246
Hauptverfasser: Larsson, Sara J, Lipka, Alexander E, Buckler, Edward S
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page e1003246
container_issue 2
container_start_page e1003246
container_title PLoS genetics
container_volume 9
creator Larsson, Sara J
Lipka, Alexander E
Buckler, Edward S
description The strengths of association mapping lie in its resolution and allelic richness, but spurious associations arising from historical relationships and selection patterns need to be accounted for in statistical analyses. Here we reanalyze one of the first generation structured association mapping studies of the Dwarf8 (d8) locus with flowering time in maize using the full range of new mapping populations, statistical approaches, and haplotype maps. Because this trait was highly correlated with population structure, we found that basic structured association methods overestimate phenotypic effects in the region, while mixed model approaches perform substantially better. Combined with analysis of the maize nested association mapping population (a multi-family crossing design), it is concluded that most, if not all, of the QTL effects at the general location of the d8 locus are from rare extended haplotypes that include other linked QTLs and that d8 is unlikely to be involved in controlling flowering time in maize. Previous independent studies have shown evidence for selection at the d8 locus. Based on the evidence of population bottleneck, selection patterns, and haplotype structure observed in the region, we suggest that multiple traits may be strongly correlated with population structure and that selection on these traits has influenced segregation patterns in the region. Overall, this study provides insight into how modern association and linkage mapping, combined with haplotype analysis, can produce results that are more robust.
doi_str_mv 10.1371/journal.pgen.1003246
format Article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1314346139</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A329898859</galeid><doaj_id>oai_doaj_org_article_1873e175cfbc4a0fb4dc7e649a35147c</doaj_id><sourcerecordid>A329898859</sourcerecordid><originalsourceid>FETCH-LOGICAL-c726t-cdde699cefec3e9ec3ec910c0927854ae491575d39b1193e2baf33b67d1679db3</originalsourceid><addsrcrecordid>eNqVk12P1CAUhhujcdfVf2C0iYnRixlLgVJuTDbr1yQTN1HXW0LpaYexhVmgrv576U53MzV7oSEBAs_7wjlwkuQpypYIM_RmawdnZLfctWCWKMtwTop7yTGiFC8Yycj9g_lR8sj7bWRoydnD5CjHBLMsy4-TizV4b41PG2f79N2VdE2ZWpOGDaQ-ODBt2PhUmjq9AvnDRBh8aptxb1BhcFCnMhooLYOOsl7udtq0j5MHjew8PJnGk-Tiw_tvZ58W6_OPq7PT9UKxvAgLVddQcK6gAYWBj53iKFMZz1lJiQTCEWW0xrxCiGPIK9lgXBWsRgXjdYVPkud7311nvZgy4gXCiGBSIMwjsdoTtZVbsXO6l-63sFKL6wXrWiFd0KoDgUqGATGqmkoRmTUVqRWDgnCJKSJMRa-302lD1UOtwAQnu5npfMfojWjtT4EpK1mZR4NXk4GzlwP4IHrtFXSdNGCH63vnBS0RH9EXf6F3RzdRrYwBaNPYeK4aTcUpznnJy5KO1PIOKrYaeq2sgUbH9Zng9UwQmQC_QisH78Xq65f_YD__O3v-fc6-PGA3ILv4EW03jN_Mz0GyB5Wz3jtobh8EZWKslJvMibFSxFQpUfbs8DFvRTelgf8AeB0OHw</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1314346139</pqid></control><display><type>article</type><title>Lessons from Dwarf8 on the strengths and weaknesses of structured association mapping</title><source>MEDLINE</source><source>Public Library of Science (PLoS)</source><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Larsson, Sara J ; Lipka, Alexander E ; Buckler, Edward S</creator><contributor>Pritchard, Jonathan K.</contributor><creatorcontrib>Larsson, Sara J ; Lipka, Alexander E ; Buckler, Edward S ; Pritchard, Jonathan K.</creatorcontrib><description>The strengths of association mapping lie in its resolution and allelic richness, but spurious associations arising from historical relationships and selection patterns need to be accounted for in statistical analyses. Here we reanalyze one of the first generation structured association mapping studies of the Dwarf8 (d8) locus with flowering time in maize using the full range of new mapping populations, statistical approaches, and haplotype maps. Because this trait was highly correlated with population structure, we found that basic structured association methods overestimate phenotypic effects in the region, while mixed model approaches perform substantially better. Combined with analysis of the maize nested association mapping population (a multi-family crossing design), it is concluded that most, if not all, of the QTL effects at the general location of the d8 locus are from rare extended haplotypes that include other linked QTLs and that d8 is unlikely to be involved in controlling flowering time in maize. Previous independent studies have shown evidence for selection at the d8 locus. Based on the evidence of population bottleneck, selection patterns, and haplotype structure observed in the region, we suggest that multiple traits may be strongly correlated with population structure and that selection on these traits has influenced segregation patterns in the region. Overall, this study provides insight into how modern association and linkage mapping, combined with haplotype analysis, can produce results that are more robust.</description><identifier>ISSN: 1553-7404</identifier><identifier>ISSN: 1553-7390</identifier><identifier>EISSN: 1553-7404</identifier><identifier>DOI: 10.1371/journal.pgen.1003246</identifier><identifier>PMID: 23437002</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Agriculture ; Biology ; Chromosome Mapping ; Flowers &amp; plants ; Flowers - genetics ; Flowers - growth &amp; development ; Gene expression ; Genetic Association Studies ; Genetics ; Genome, Plant ; Genomes ; Genomics ; Haplotypes ; Mathematics ; Phenotype ; Plant Proteins - genetics ; Population ; Population genetics ; Programming languages ; Quantitative trait loci ; Quantitative Trait Loci - genetics ; Statistical methods ; Studies ; Zea mays - genetics ; Zea mays - growth &amp; development</subject><ispartof>PLoS genetics, 2013-02, Vol.9 (2), p.e1003246-e1003246</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Citation: Larsson SJ, Lipka AE, Buckler ES (2013) Lessons from Dwarf8 on the Strengths and Weaknesses of Structured Association Mapping. PLoS Genet 9(2): e1003246. doi:10.1371/journal.pgen.1003246</rights><rights>2013</rights><rights>2013 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Citation: Larsson SJ, Lipka AE, Buckler ES (2013) Lessons from Dwarf8 on the Strengths and Weaknesses of Structured Association Mapping. PLoS Genet 9(2): e1003246. doi:10.1371/journal.pgen.1003246</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c726t-cdde699cefec3e9ec3ec910c0927854ae491575d39b1193e2baf33b67d1679db3</citedby><cites>FETCH-LOGICAL-c726t-cdde699cefec3e9ec3ec910c0927854ae491575d39b1193e2baf33b67d1679db3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3578782/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3578782/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23437002$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Pritchard, Jonathan K.</contributor><creatorcontrib>Larsson, Sara J</creatorcontrib><creatorcontrib>Lipka, Alexander E</creatorcontrib><creatorcontrib>Buckler, Edward S</creatorcontrib><title>Lessons from Dwarf8 on the strengths and weaknesses of structured association mapping</title><title>PLoS genetics</title><addtitle>PLoS Genet</addtitle><description>The strengths of association mapping lie in its resolution and allelic richness, but spurious associations arising from historical relationships and selection patterns need to be accounted for in statistical analyses. Here we reanalyze one of the first generation structured association mapping studies of the Dwarf8 (d8) locus with flowering time in maize using the full range of new mapping populations, statistical approaches, and haplotype maps. Because this trait was highly correlated with population structure, we found that basic structured association methods overestimate phenotypic effects in the region, while mixed model approaches perform substantially better. Combined with analysis of the maize nested association mapping population (a multi-family crossing design), it is concluded that most, if not all, of the QTL effects at the general location of the d8 locus are from rare extended haplotypes that include other linked QTLs and that d8 is unlikely to be involved in controlling flowering time in maize. Previous independent studies have shown evidence for selection at the d8 locus. Based on the evidence of population bottleneck, selection patterns, and haplotype structure observed in the region, we suggest that multiple traits may be strongly correlated with population structure and that selection on these traits has influenced segregation patterns in the region. Overall, this study provides insight into how modern association and linkage mapping, combined with haplotype analysis, can produce results that are more robust.</description><subject>Agriculture</subject><subject>Biology</subject><subject>Chromosome Mapping</subject><subject>Flowers &amp; plants</subject><subject>Flowers - genetics</subject><subject>Flowers - growth &amp; development</subject><subject>Gene expression</subject><subject>Genetic Association Studies</subject><subject>Genetics</subject><subject>Genome, Plant</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Haplotypes</subject><subject>Mathematics</subject><subject>Phenotype</subject><subject>Plant Proteins - genetics</subject><subject>Population</subject><subject>Population genetics</subject><subject>Programming languages</subject><subject>Quantitative trait loci</subject><subject>Quantitative Trait Loci - genetics</subject><subject>Statistical methods</subject><subject>Studies</subject><subject>Zea mays - genetics</subject><subject>Zea mays - growth &amp; development</subject><issn>1553-7404</issn><issn>1553-7390</issn><issn>1553-7404</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqVk12P1CAUhhujcdfVf2C0iYnRixlLgVJuTDbr1yQTN1HXW0LpaYexhVmgrv576U53MzV7oSEBAs_7wjlwkuQpypYIM_RmawdnZLfctWCWKMtwTop7yTGiFC8Yycj9g_lR8sj7bWRoydnD5CjHBLMsy4-TizV4b41PG2f79N2VdE2ZWpOGDaQ-ODBt2PhUmjq9AvnDRBh8aptxb1BhcFCnMhooLYOOsl7udtq0j5MHjew8PJnGk-Tiw_tvZ58W6_OPq7PT9UKxvAgLVddQcK6gAYWBj53iKFMZz1lJiQTCEWW0xrxCiGPIK9lgXBWsRgXjdYVPkud7311nvZgy4gXCiGBSIMwjsdoTtZVbsXO6l-63sFKL6wXrWiFd0KoDgUqGATGqmkoRmTUVqRWDgnCJKSJMRa-302lD1UOtwAQnu5npfMfojWjtT4EpK1mZR4NXk4GzlwP4IHrtFXSdNGCH63vnBS0RH9EXf6F3RzdRrYwBaNPYeK4aTcUpznnJy5KO1PIOKrYaeq2sgUbH9Zng9UwQmQC_QisH78Xq65f_YD__O3v-fc6-PGA3ILv4EW03jN_Mz0GyB5Wz3jtobh8EZWKslJvMibFSxFQpUfbs8DFvRTelgf8AeB0OHw</recordid><startdate>20130201</startdate><enddate>20130201</enddate><creator>Larsson, Sara J</creator><creator>Lipka, Alexander E</creator><creator>Buckler, Edward S</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISN</scope><scope>ISR</scope><scope>3V.</scope><scope>7QP</scope><scope>7QR</scope><scope>7SS</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</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>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20130201</creationdate><title>Lessons from Dwarf8 on the strengths and weaknesses of structured association mapping</title><author>Larsson, Sara J ; Lipka, Alexander E ; Buckler, Edward S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c726t-cdde699cefec3e9ec3ec910c0927854ae491575d39b1193e2baf33b67d1679db3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Agriculture</topic><topic>Biology</topic><topic>Chromosome Mapping</topic><topic>Flowers &amp; plants</topic><topic>Flowers - genetics</topic><topic>Flowers - growth &amp; development</topic><topic>Gene expression</topic><topic>Genetic Association Studies</topic><topic>Genetics</topic><topic>Genome, Plant</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Haplotypes</topic><topic>Mathematics</topic><topic>Phenotype</topic><topic>Plant Proteins - genetics</topic><topic>Population</topic><topic>Population genetics</topic><topic>Programming languages</topic><topic>Quantitative trait loci</topic><topic>Quantitative Trait Loci - genetics</topic><topic>Statistical methods</topic><topic>Studies</topic><topic>Zea mays - genetics</topic><topic>Zea mays - growth &amp; development</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Larsson, Sara J</creatorcontrib><creatorcontrib>Lipka, Alexander E</creatorcontrib><creatorcontrib>Buckler, Edward S</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Canada</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Larsson, Sara J</au><au>Lipka, Alexander E</au><au>Buckler, Edward S</au><au>Pritchard, Jonathan K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Lessons from Dwarf8 on the strengths and weaknesses of structured association mapping</atitle><jtitle>PLoS genetics</jtitle><addtitle>PLoS Genet</addtitle><date>2013-02-01</date><risdate>2013</risdate><volume>9</volume><issue>2</issue><spage>e1003246</spage><epage>e1003246</epage><pages>e1003246-e1003246</pages><issn>1553-7404</issn><issn>1553-7390</issn><eissn>1553-7404</eissn><abstract>The strengths of association mapping lie in its resolution and allelic richness, but spurious associations arising from historical relationships and selection patterns need to be accounted for in statistical analyses. Here we reanalyze one of the first generation structured association mapping studies of the Dwarf8 (d8) locus with flowering time in maize using the full range of new mapping populations, statistical approaches, and haplotype maps. Because this trait was highly correlated with population structure, we found that basic structured association methods overestimate phenotypic effects in the region, while mixed model approaches perform substantially better. Combined with analysis of the maize nested association mapping population (a multi-family crossing design), it is concluded that most, if not all, of the QTL effects at the general location of the d8 locus are from rare extended haplotypes that include other linked QTLs and that d8 is unlikely to be involved in controlling flowering time in maize. Previous independent studies have shown evidence for selection at the d8 locus. Based on the evidence of population bottleneck, selection patterns, and haplotype structure observed in the region, we suggest that multiple traits may be strongly correlated with population structure and that selection on these traits has influenced segregation patterns in the region. Overall, this study provides insight into how modern association and linkage mapping, combined with haplotype analysis, can produce results that are more robust.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23437002</pmid><doi>10.1371/journal.pgen.1003246</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1553-7404
ispartof PLoS genetics, 2013-02, Vol.9 (2), p.e1003246-e1003246
issn 1553-7404
1553-7390
1553-7404
language eng
recordid cdi_plos_journals_1314346139
source MEDLINE; Public Library of Science (PLoS); DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central
subjects Agriculture
Biology
Chromosome Mapping
Flowers & plants
Flowers - genetics
Flowers - growth & development
Gene expression
Genetic Association Studies
Genetics
Genome, Plant
Genomes
Genomics
Haplotypes
Mathematics
Phenotype
Plant Proteins - genetics
Population
Population genetics
Programming languages
Quantitative trait loci
Quantitative Trait Loci - genetics
Statistical methods
Studies
Zea mays - genetics
Zea mays - growth & development
title Lessons from Dwarf8 on the strengths and weaknesses of structured association mapping
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T16%3A50%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Lessons%20from%20Dwarf8%20on%20the%20strengths%20and%20weaknesses%20of%20structured%20association%20mapping&rft.jtitle=PLoS%20genetics&rft.au=Larsson,%20Sara%20J&rft.date=2013-02-01&rft.volume=9&rft.issue=2&rft.spage=e1003246&rft.epage=e1003246&rft.pages=e1003246-e1003246&rft.issn=1553-7404&rft.eissn=1553-7404&rft_id=info:doi/10.1371/journal.pgen.1003246&rft_dat=%3Cgale_plos_%3EA329898859%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1314346139&rft_id=info:pmid/23437002&rft_galeid=A329898859&rft_doaj_id=oai_doaj_org_article_1873e175cfbc4a0fb4dc7e649a35147c&rfr_iscdi=true