PowerEQTL: an R package and shiny application for sample size and power calculation of bulk tissue and single-cell eQTL analysis.

ABSTRACT:

Summary

Genome-wide association studies (GWAS) have revealed thousands of genetic loci for common diseases. One of the main challenges in the post-GWAS era is to understand the causality of the genetic variants. Expression quantitative trait locus (eQTL) analysis is an effective way to address this question by examining the relationship between gene expression and genetic variation in a sufficiently powered cohort. However, it is frequently a challenge to determine the sample size at which a variant with a specific allele frequency will be detected to associate with gene expression with sufficient power. This is a particularly difficult task for single-cell RNAseq studies. Therefore, a user-friendly tool to estimate statistical power for eQTL analyses in both bulk tissue and single

SUBMITTER: Dong X 

PROVIDER: S-EPMC9492284 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature