Qxpak.5: Old mixed model solutions for new genomics problems

Miguel Pérez-Enciso, Ignacy Misztal

Research output: Contribution to journalArticleResearchpeer-review

69 Citations (Scopus)

Abstract

Background: 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.Results: 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.Conclusions: 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. © 2011 Pérez-Enciso and Misztal; licensee BioMed Central Ltd.
Original languageEnglish
Article number202
JournalBMC Bioinformatics
Volume12
DOIs
Publication statusPublished - 25 May 2011

Fingerprint Dive into the research topics of 'Qxpak.5: Old mixed model solutions for new genomics problems'. Together they form a unique fingerprint.

  • Cite this