Control of false discoveries in grouped hypothesis testing for eQTL data.

ABSTRACT:

Background

Expression quantitative trait locus (eQTL) analysis aims to detect the genetic variants that influence the expression of one or more genes. Gene-level eQTL testing forms a natural grouped-hypothesis testing strategy with clear biological importance. Methods to control family-wise error rate or false discovery rate for group testing have been proposed earlier, but may not be powerful or easily apply to eQTL data, for which certain structured alternatives may be defensible and may enable the researcher to avoid overly conservative approaches.

Results

In an empirical Bayesian setting, we propose a new method to control the false discovery rate (FDR) for grouped hypotheses. Here, each gene forms a group, with SNPs annotated to the gene corresponding to individual hypo

SUBMITTER: Rudra P 

PROVIDER: S-EPMC11007981 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature