Efficient association mapping of quantitative trait loci with selective genotyping
Efficient association mapping of quantitative trait loci with selective genotyping
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DOI：
10.1086/512727
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发表时间：
2007-03-01
影响因子：
9.8
通讯作者：
Lin, D. Y.
中科院分区：
文献类型：
--
作者：
Huang, B. E.;Lin, D. Y.
选择性基因分型（即，仅对那些具有极端表型的个体进行基因分型）可以大大提高在遗传关联研究中检测和定位数量性状基因座的能力。由于选择取决于表型，因此所得数据无法通过标准统计方法进行适当分析。我们提供了适当的可能性，以评估基因型和单倍型对选择性基因型设计下的数量性状的影响。我们证明了基于似然性的方法在识别因果变异方面是非常有效的，并且比现有方法更强大。
Selective genotyping (i.e., genotyping only those individuals with extreme phenotypes) can greatly improve the power to detect and map quantitative trait loci in genetic association studies. Because selection depends on the phenotype, the resulting data cannot be properly analyzed by standard statistical methods. We provide appropriate likelihoods for assessing the effects of genotypes and haplotypes on quantitative traits under selective- genotyping designs. We demonstrate that the likelihood-based methods are highly effective in identifying causal variants and are substantially more powerful than existing methods.