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dc.contributor.authorLong, Anthony D.
dc.contributor.authorMacdonald, Stuart J.
dc.contributor.authorKing, Elizabeth G.
dc.date.accessioned2017-04-17T20:32:35Z
dc.date.available2017-04-17T20:32:35Z
dc.date.issued2014-08-28
dc.identifier.citationLong, Anthony D., Stuart J. Macdonald, and Elizabeth G. King. “Dissecting Complex Traits Using the Drosophila Synthetic Population Resource.” Trends in genetics : TIG 30.11 (2014): 488–495.en_US
dc.identifier.urihttp://hdl.handle.net/1808/23717
dc.description.abstractFor most complex traits we have a poor understanding of the positions, phenotypic effects, and population frequencies of the underlying genetic variants contributing to their variation. Recently, several groups have developed multi-parent advanced intercross mapping panels in different model organisms in an attempt to improve our ability to characterize causative genetic variants. These panels are powerful and are particularly well suited to the dissection of phenotypic variation generated by rare alleles and loci segregating multiple functional alleles. We describe studies using one such panel, the Drosophila Synthetic Population Resource, and the implications for our understanding of the genetic basis of complex traits. In particular, we note that many loci of large effect appear to be multiallelic. If multiallelism is a general rule, analytical approaches designed to identify multiallelic variants should be a priority for both genome wide association studies and multi-parental panels.en_US
dc.publisherElsevieren_US
dc.rightsCopyright Elsevieren_US
dc.subjectMulti-parental populationen_US
dc.subjectMultiallelismen_US
dc.subjectDrosophila melanogasteren_US
dc.subjectComplex traitsen_US
dc.subjectMissing heritabilityen_US
dc.titleDissecting Complex Traits Using the Drosophila Synthetic Population Resourceen_US
dc.typeArticleen_US
kusw.kuauthorMacdonald, Stuart J.
kusw.kudepartmentMolecular Biosciencesen_US
dc.identifier.doi10.1016/j.tig.2014.07.009en_US
kusw.oaversionScholarly/refereed, author accepted manuscripten_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccess


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