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dc.contributor.authorKemppainen, Petri
dc.contributor.authorRønning, Bernt
dc.contributor.authorKvalnes, Thomas
dc.contributor.authorHagen, Ingerid Julie
dc.contributor.authorRingsby, Thor Harald
dc.contributor.authorBilling, Anna Maria
dc.contributor.authorPärn, Henrik
dc.contributor.authorLien, Sigbjørn
dc.contributor.authorHusby, Arild
dc.contributor.authorSæther, Bernt-Erik
dc.contributor.authorJensen, Henrik
dc.date.accessioned2017-10-30T13:02:31Z
dc.date.available2017-10-30T13:02:31Z
dc.date.created2016-10-31T14:42:31Z
dc.date.issued2017
dc.identifier.citationMolecular Ecology Resources. 2017, 17 (4), 770-782.nb_NO
dc.identifier.issn1755-098X
dc.identifier.urihttp://hdl.handle.net/11250/2462900
dc.description.abstractExperimental evolution studies can be used to explore genomic response to artificial and natural selection. In such studies, loci that display larger allele frequency change than expected by genetic drift alone are assumed to be directly or indirectly associated with traits under selection. However, such studies report surprisingly many loci under selection, suggesting that current tests for allele frequency change may be subject to P-value inflation and hence be anticonservative. One factor known from genomewide association (GWA) studies to cause P-value inflation is population stratification, such as relatedness among individuals. Here, we suggest that by treating presence of an individual in a population after selection as a binary response variable, existing GWA methods can be used to account for relatedness when estimating allele frequency change. We show that accounting for relatedness like this effectively reduces false-positives in tests for allele frequency change in simulated data with varying levels of population structure. However, once relatedness has been accounted for, the power to detect causal loci under selection is low. Finally, we demonstrate the presence of P-value inflation in allele frequency change in empirical data spanning multiple generations from an artificial selection experiment on tarsus length in two free-living populations of house sparrow and correct for this using genomic control. Our results indicate that since allele frequencies in large parts of the genome may change when selection acts on a heritable trait, such selection is likely to have considerable and immediate consequences for the eco-evolutionary dynamics of the affected populations.nb_NO
dc.language.isoengnb_NO
dc.publisherWileynb_NO
dc.titleControlling for P-value inflation in allele frequency change in experimental evolution and artificial selection experimentsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber770-782nb_NO
dc.source.volume17nb_NO
dc.source.journalMolecular Ecology Resourcesnb_NO
dc.source.issue4nb_NO
dc.identifier.doi10.1111/1755-0998.12631
dc.identifier.cristin1395900
dc.relation.projectNorges forskningsråd: 223257nb_NO
dc.relation.projectNorges forskningsråd: 221956nb_NO
dc.description.localcodeThis is the peer reviewed version of the following article: [Controlling for P-value inflation in allele frequency change in experimental evolution and artificial selection experiments], which has been published in final form at [http://onlinelibrary.wiley.com/doi/10.1111/1755-0998.12631/abstract]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. Locked until 25.11.2017 due to copyright restrictions.nb_NO
cristin.unitcode194,66,10,0
cristin.unitnameInstitutt for biologi
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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