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Mapping of quantitative trait loci using the skew-normal distribution

2007Journal article Open access
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dc.contributor.authorFernandes, Elisabete
dc.contributor.authorPacheco, António
dc.contributor.authorPenha-Gonçalves, Carlos
dc.date.accessioned2010-05-14T10:31:55Z
dc.date.available2010-05-14T10:31:55Z
dc.date.issued2007
dc.descriptionThis deposit is in restrictedAccess (it can't be in open access to the public), and can only be accessed by two ways: either by requesting a legal copy from the author (the email contact present in this deposit) or by visiting the following link: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2064950/pt_PT
dc.description.abstractIn standard interval mapping (IM) of quantitative trait loci (QTL), the QTL effect is described by a normal mixture model. When this assumption of normality is violated, the most commonly adopted strategy is to use the previous model after data transformation. However, an appropriate transformation may not exist or may be difficult to find. Also this approach can raise interpretation issues. An interesting alternative is to consider a skew-normal mixture model in standard IM, and the resulting method is here denoted as skew-normal IM. This flexible model that includes the usual symmetric normal distribution as a special case is important, allowing continuous variation from normality to non-normality. In this paper we briefly introduce the main peculiarities of the skew-normal distribution. The maximum likelihood estimates of parameters of the skew-normal distribution are obtained by the expectation-maximization (EM) algorithm. The proposed model is illustrated with real data from an intercross experiment that shows a significant departure from the normality assumption. The performance of the skew-normal IM is assessed via stochastic simulation. The results indicate that the skew-normal IM has higher power for QTL detection and better precision of QTL location as compared to standard IM and nonparametric IM.pt
dc.identifier.citationFernandes, E., Pacheco, A., Penha-Gonçalves, C. (2007). Mapping of quantitative trait loci using the skew-normal distribution. J Zhejiang Univ Sci B 8(11):792-801pt
dc.identifier.issn1673-1581
dc.identifier.urihttp://hdl.handle.net/10400.7/113
dc.language.isoengpt
dc.peerreviewedYes
dc.publisherZhejiang Universitypt
dc.relation.publisherversionhttp://dx.doi.org/10.1631/jzus.2007.B0792
dc.subjectInterval mapping (IM)pt
dc.subjectQuantitative trait loci (QTL)pt
dc.subjectSkew-normal distributionpt
dc.subjectExpectation-maximization (EM)pt
dc.titleMapping of quantitative trait loci using the skew-normal distributionpt
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage801pt
oaire.citation.startPage792pt
oaire.citation.titleJournal of Zhejiang University Sciencept
rcaap.rightsrestrictedAccesspt
rcaap.typearticlept

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