Development of a tissue augmented Bayesian model for expression quantitative trait Loci analysis
Expression quantitative trait loci (eQTL) analyses detect genetic variants (SNPs) associated with the RNA expression levels of genes. The conventional eQTL analysis is to perform individual tests for each gene-SNP pair using simple linear regression. The conventional approach to eQTL study is performed on each tissue separately and ignores the extensive information known about RNA expression in other tissue(s). Although Bayesian models have been recently developed to improve eQTL prediction on multiple tissues, they were often based on uninformative priors and/or only evaluated on the number ...
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