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Article

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

BMC bioinformatics - 26 Apr 2023

Cai Jitong, Zhan Jianan, Arking Dan E, Bader Joel S

Abstract excerpt

BACKGROUND: 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 RNAseq 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...

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PMID: 37101120
DOI: 10.1186/s12859-023-05261-9
PMCID: PMC10134629

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