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dc.contributor.authorKing, Elizabeth G.
dc.contributor.authorSanderson, Brian J.
dc.contributor.authorMcNeil, Casey Lee
dc.contributor.authorLong, Anthony D.
dc.contributor.authorMacdonald, Stuart J.
dc.date.accessioned2014-06-04T15:30:36Z
dc.date.available2014-06-04T15:30:36Z
dc.date.issued2014-05-08
dc.identifier.citationKing EG, Sanderson BJ, McNeil CL, Long AD, Macdonald SJ (2014) Genetic Dissection of the Drosophila melanogaster Female Head Transcriptome Reveals Widespread Allelic Heterogeneity. PLoS Genet 10(5): e1004322. http://dx.doi.org/10.1371/journal.pgen.1004322
dc.identifier.urihttp://hdl.handle.net/1808/13860
dc.description.abstractModern genetic mapping is plagued by the “missing heritability” problem, which refers to the discordance between the estimated heritabilities of quantitative traits and the variance accounted for by mapped causative variants. One major potential explanation for the missing heritability is allelic heterogeneity, in which there are multiple causative variants at each causative gene with only a fraction having been identified. The majority of genome-wide association studies (GWAS) implicitly assume that a single SNP can explain all the variance for a causative locus. However, if allelic heterogeneity is prevalent, a substantial amount of genetic variance will remain unexplained. In this paper, we take a haplotype-based mapping approach and quantify the number of alleles segregating at each locus using a large set of 7922 eQTL contributing to regulatory variation in the Drosophila melanogaster female head. Not only does this study provide a comprehensive eQTL map for a major community genetic resource, the Drosophila Synthetic Population Resource, but it also provides a direct test of the allelic heterogeneity hypothesis. We find that 95% of cis-eQTLs and 78% of trans-eQTLs are due to multiple alleles, demonstrating that allelic heterogeneity is widespread in Drosophila eQTL. Allelic heterogeneity likely contributes significantly to the missing heritability problem common in GWAS studies.
dc.description.sponsorshipThis work was supported by NIH R01 RR024862/OD010974 to SJM and ADL, an American Recovery and Reinvestment Act (ARRA) administrative supplement to this award, and F32 GM099382 to EGK. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
dc.publisherPublic Library of Science
dc.rightsThis 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.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectConfidence intervals
dc.subjectDNA recombination
dc.subjectDrosophila melanogaster
dc.subjectGene expression
dc.subjectGene mapping
dc.subjectGenetic loci
dc.subjectHaplotypes
dc.subjectPhenotypes
dc.titleGenetic Dissection of the Drosophila melanogaster Female Head Transcriptome Reveals Widespread Allelic Heterogeneity
dc.typeArticle
kusw.kuauthorSanderson, Brian J.
kusw.kuauthorMacdonald, Stuart J.
kusw.kudepartmentMolecular Biosciences
kusw.oastatusfullparticipation
dc.identifier.doi10.1371/journal.pgen.1004322
kusw.oaversionScholarly/refereed, publisher version
kusw.oapolicyThis item meets KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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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.
Except where otherwise noted, this item's license is described as: 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.