Bayesian method to predict individual SNP genotypes from gene expression data
Bayesian method to predict individual SNP genotypes from gene expression data
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DOI：
10.1038/ng.2248
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发表时间：
2012-05-01
期刊：
影响因子：
30.8
通讯作者：
Hao, Ke
中科院分区：
文献类型：
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作者：
Schadt, Eric E.;Woo, Sangsoon;Hao, Ke
RNA分析可用于捕获与表达数量性状基因座（eQTL）相关的许多基因的表达模式。采用已发表的推定顺式eQTL，我们开发了贝叶斯方法来预测SNP基因型，仅基于RNA表达数据。我们表明，预测的基因型可以准确和独特地识别大群体中的个体。当使用相同组织类型的eQTL（但来自独立队列）从表达数据集推断基因型时，我们能够在P调整后解析队列中99%的个体身份
RNA profiling can be used to capture the expression patterns of many genes that are associated with expression quantitative trait loci (eQTLs). Employing published putative cis eQTLs, we developed a Bayesian approach to predict SNP genotypes that is based only on RNA expression data. We show that predicted genotypes can accurately and uniquely identify individuals in large populations. When inferring genotypes from an expression data set using eQTLs of the same tissue type (but from an independent cohort), we were able to resolve 99% of the identities of individuals in the cohort at P-adjusted