Qxpak.5 : old mixed model solutions for new genomics problems
Perez-Enciso, Miguel (Centre de Recerca en Agrigenòmica)
Misztal, Ignacy (University of Georgia. Department of Animal and Dairy Science)

Fecha:	2011
Resumen:	Mixed models have a long and fruitful history in statistics. They are pertinent to genomics problems because they are highly versatile, accommodating a wide variety of situations within the same theoretical and algorithmic framework. Qxpak is a package for versatile statistical genomics, specifically designed for sophisticated quantitative trait loci and association analyses. Multiple loci, multiple trait, infinitesimal genetic effects, imprinting, epistasis or sex linked loci can be fitted. The new version (v. 5) allows us, among other new features, to include either relationship matrices obtained with molecular information or user defined matrices that can be read from an input file. This feature can be used for genome selection or - more importantly - to correct for population structure in association studies. In crosses, two parental lines, not necessarily inbred, can be accommodated. This software aims at simplifying statistical genetic analyses implementing a coherent and unified approach by mixed models. It provides a tool that can be used in a wide variety of situations with ample genetic and statistical modeling flexibility. The software, a complete manual and examples are available at http://www. icrea. cat/Web/OtherSectionViewer. aspx?key=485&titol=Software:Qxpak. .
Ayudas:	Ministerio de Ciencia e Innovación 2010-14822 Ministerio de Ciencia e Innovación CSD2007-00036 Ministerio de Ciencia e Innovación AGL 2007-65563
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Quantitative trait locus ; Mixed model approach ; Quantitative trait locus interaction ; Genome wide linkage disequilibrium ; Molecular coancestry
Publicado en:	BMC bioinformatics, Vol. 12 (May 2011) , art. 202, ISSN 1471-2105

DOI: 10.1186/1471-2105-12-202
PMID: 21612630

7 p, 968.3 KB

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