Mapping Quantitative Trait Loci Using Inter-crossed F3 Populations
Date Issued
2006
Date
2006
Author(s)
Zeng, Miao-Hui
DOI
en-US
Abstract
Most of the current statistical methods of QTL mapping are developed for the backcross and F2 populations. The inter-crossed F3 population is also a popular experimental population for QTL study. As the F3 population can provide more recombinants than the backcross and F2 populations, it could be more efficient in mapping for closely linked QTL. We propose a statistical model to estimate the effects and
positions of two closely linked QTL for the F3 population. As the genotypes of QTL are usually unknown, the tatistical model is a finite mixture model. By treating the mixture model as an incomplete data problem, the EM lgorithm is implemented to obtain the maximum likelihood estimates of the parameters. Simulations were used to illustrate the performance of the proposed statistical QTL mapping model in the F3 population and evaluate the relative efficiency in the F3 population (as comparing to that of the F2 population) in QTL mapping under several factors, such as sample size, genetic distance between QTL (and markers), the proportion of trait variance contributed by QTL (i.e. heritability). It is found that the QTL mapping by using the F3 population is more powerful and precise in separating two closely linked QTL and estimating the parameters than the use of the F2 population under those controlled factors, especially for small sample size, close genetic distance and low heritability. The paper can help outlining a strategy of detecting tightly linked QTL for the advanced intercross populations to improve the resolution of genetic architecture of quantitative traits.
Subjects
EM演算法
最大概式估計
混合常態模型
定位數量性狀基因座
區間定位法
互交F3族群
EM algorithm
Maximum likelihood
Normal Mixture model
QTL mapping
Interval mapping
Inter-crossed F3 population
Advanced intercross populations
Type
thesis
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