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Originally published as Genetics Published Articles Ahead of Print on May 4, 2007.
Genetics, Vol. 176, 1935-1938, July 2007, Copyright © 2007
doi:10.1534/genetics.107.071977
Increasing the Efficiency of Variance Component Quantitative Trait Loci Analysis by Using Reduced-Rank Identity-by-Descent Matrices
Lars Rönnegård*,1,
Kateryna Mischenko
,
,
Sverker Holmgren and
Örjan Carlborg*
* Linnaeus Centre for Bioinformatics, Uppsala University, SE-75124 Uppsala, Sweden, Division of Scientific Computing, Department of Information Technology, Uppsala University, SE-75124 Uppsala, Sweden and Department of Mathematics and Physics, Mälardalen University, SE-72123 Västerås, Sweden
1 Corresponding author: Linnaeus Centre for Bioinformatics, Uppsala University, SE-75124 Uppsala, Sweden.
E-mail: lars.ronnegard{at}lcb.uu.se
Recent technological development in genetics has made large-scale marker genotyping fast and practicable, facilitating studies for detection of QTL in large general pedigrees. We developed a method that speeds up restricted maximum-likelihood (REML) algorithms for QTL analysis by simplifying the inversion of the variance–covariance matrix of the trait vector. The method was tested in an experimental chicken pedigree including 767 phenotyped individuals and 14 genotyped markers on chicken chromosome 1. The computation time in a chromosome scan covering 475 cM was reduced by 43% when the analysis was based on linkage only and by 72% when linkage disequilibrium information was included. The relative advantage of using our method increases with pedigree size, marker density, and linkage disequilibrium, indicating even greater improvements in the future.
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