Bayesian Method for Disease QTL Detection and Mapping, using a Case and Control Design and DNA Pooling

dc.creatorJohnson, Toby
dc.date2005-07-13
dc.date.accessioned2026-07-07T09:22:09Z
dc.date.available2026-07-07T09:22:09Z
dc.descriptionThis paper describes a Bayesian statistical method for determining the genetic basis of a complex genetic trait. The method uses a sample of unrelated individuals classified into two groups, for example cases and controls. Each group is assumed to have been genotyped at a battery of marker loci using a laboratory effort efficient technique called DNA pooling. The aim is to detect and map a quantitative trait locus (QTL) that is not one of the typed markers. The method works by conducting an exact Bayesian analysis under a number of simplifying population genetic assumptions that are somewhat unrealistic. Despite this, the method is shown to perform acceptably on datasets simulated under a more realistic model, and furthermore is shown to outperform classical single point methods.
dc.identifierhttps://arxiv.org/abs/q-bio/0507018
dc.identifierhttp://arxiv.org/abs/q-bio/0507018
dc.identifierBiostatistics (2007) 8:546--565
dc.identifierdoi:10.1093/biostatistics/kxl028
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/155277
dc.subjectGenomics
dc.subjectPopulations and Evolution
dc.subjectQuantitative Methods
dc.titleBayesian Method for Disease QTL Detection and Mapping, using a Case and Control Design and DNA Pooling
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