Premium
Bayesian Point Estimation of Quantitative Trait Loci
Author(s) -
Sisson S. A.,
Hurn M. A.
Publication year - 2004
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.2004.00167.x
Subject(s) - quantitative trait locus , bayesian probability , trait , inference , bayesian inference , computer science , family based qtl mapping , point estimation , function (biology) , computational biology , biology , statistics , data mining , genetics , artificial intelligence , mathematics , gene mapping , chromosome , gene , programming language
Summary. In this article, we consider the problem of the estimation of quantitative trait loci (QTL), those chromosomal regions at which genetic information affecting some quantitative trait is encoded. Generally the number of such encoding sites is unknown, and associations between neutral molecular marker genotypes and observed trait phenotypes are sought to locate them. We consider a Bayesian model for simple experimental designs, and discuss the existing approaches to inference for this problem. In particular, we focus on locating positions of the best candidate markers segregating for the trait, a situation which is of primary interest in comparative mapping. We introduce a loss function for estimating both the number of QTL and their location, and we illustrate its application via simulated and real data.