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...
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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. |
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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 & 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</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. 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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 & plants</subject><subject>Flowers - genetics</subject><subject>Flowers - growth & 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 - 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genetics</topic><topic>Flowers - growth & 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 & 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 & 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 & 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 & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & 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 - 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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. 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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 |
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