Title |
Bayesian Variable Selection to identify QTL affecting a simulated quantitative trait
|
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Published in |
BMC Proceedings, May 2012
|
DOI | 10.1186/1753-6561-6-s2-s8 |
Pubmed ID | |
Authors |
Anouk Schurink, Luc LG Janss, Henri CM Heuven |
Abstract |
Recent developments in genetic technology and methodology enable accurate detection of QTL and estimation of breeding values, even in individuals without phenotypes. The QTL-MAS workshop offers the opportunity to test different methods to perform a genome-wide association study on simulated data with a QTL structure that is unknown beforehand. The simulated data contained 3,220 individuals: 20 sires and 200 dams with 3,000 offspring. All individuals were genotyped, though only 2,000 offspring were phenotyped for a quantitative trait. QTL affecting the simulated quantitative trait were identified and breeding values of individuals without phenotypes were estimated using Bayesian Variable Selection, a multi-locus SNP model in association studies. |
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