Mixed model analysis of quantitative trait loci - PubMed (original) (raw)
Mixed model analysis of quantitative trait loci
S Xu et al. Proc Natl Acad Sci U S A. 2000.
Abstract
We develop a mixed model approach of quantitative trait locus (QTL) mapping for a hybrid population derived from the crosses of two or more distinguished outbred populations. Under the mixed model, we treat the mean allelic value of each source population as the fixed effect and the allelic deviations from the mean as random effects so that we can partition the total genetic variance into between- and within-population variances. Statistical inference of the QTL parameters is obtained by using the Bayesian method implemented by Markov chain Monte Carlo (MCMC). This unified QTL mapping algorithm treats the fixed and random model approaches as special cases of the general mixed model methodology. Utility and flexibility of the method are demonstrated by using a set of simulated data.
Figures
Figure 1
QTL intensity profiles (a and b) and profiles of the effects (c and d) for the mixed model analysis. Markers (codominant) are evenly distributed with 10 cM apart. (a and c) Chromosome I. (b and_d_) Chromosome II. The true positions of the three QTL are pointed to by the arrows on the horizontal axes. The solid, dashed, and dotted lines represent for the population difference b =_b_2 − _b_1, variance within population one σ12, and variance within population two σ22, respectively.
Figure 2
Weighted QTL intensity profiles for the mixed model analysis. (a) Chromosome I. (b) Chromosome II.
Figure 3
QTL intensity profiles (a and b) and effect profiles (c and d) for the fixed model analysis. (a and c) Chromosome I. (b and_d_) Chromosome II.
Figure 4
Weighted QTL intensity profiles for the fixed model analysis. (a) Chromosome I. (b) Chromosome II.
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