ArticleBMC genetics2010
Bayesian shrinkage mapping of quantitative trait loci in variance component models.
Article in BMC genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Association analysis for udder health based on SNP-panel and sequence data in Danish Holsteins.Genetics, selection, evolution : GSE · 2015Article
- A new mapping method for quantitative trait loci of silkworm.BMC genetics · 2011Article
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Authors and funding
1 author.
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Abstract
backgroundIn this article, I propose a model-selection-free method to map multiple quantitative trait loci (QTL) in variance component model, which is useful in outbred populations. The new method can estimate the variance of zero-effect QTL infinitely to zero, but nearly unbiased for non-zero-effect QTL. It is analogous to Xu's Bayesian shrinkage estimation method, but his method is based on allelic substitution model, while the new method is based on the variance component models.
resultsExtensive simulation experiments were conducted to investigate the performance of the proposed method. The results showed that the proposed method was efficient in mapping multiple QTL simultaneously, and moreover it was more competitive than the reversible jump MCMC (RJMCMC) method and may even out-perform it.
conclusionsThe newly developed Bayesian shrinkage method is very efficient and powerful for mapping multiple QTL in outbred populations.
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