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

ABSTRACT:

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 two methods in terms of their abilities to boost the power of hypothesis testing.

Results

We provide a quantitative estimate for progress in cohort sizes and present a theoretical analysis of the power of oracular hard priors: priors that select a subset of hypotheses for testing, with an oracular guarantee that all true positives are within the tested subset. This theo

SUBMITTER: Cai J 

PROVIDER: S-EPMC10134629 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature