Article

Priors, population sizes, and power in genome-wide hypothesis tests

2019-08-16

Abstract excerpt

Genome-wide tests, including genome-wide association studies (GWAS) of germ-line genetic variants, driver tests of cancer somatic mutations, and transcriptome-wide association tests of RNA-Seq data, carry a high multiple testing burden. This burden can be overcome by enrolling larger cohorts or alleviated by using prior biological knowledge to favor some hypotheses over others. Here we compare these two methods in...

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Literature Corpus work: 2595c792-5634-5eac-9821-e6bd5a69ab00
DOI: 10.1101/737676

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