Efficient and effective control of confounding in eQTL mapping studies through joint differential expression and Mendelian randomization analyses.

ABSTRACT:

Motivation

Identifying cis-acting genetic variants associated with gene expression levels-an analysis commonly referred to as expression quantitative trait loci (eQTLs) mapping-is an important first step toward understanding the genetic determinant of gene expression variation. Successful eQTL mapping requires effective control of confounding factors. A common method for confounding effects control in eQTL mapping studies is the probabilistic estimation of expression residual (PEER) analysis. PEER analysis extracts PEER factors to serve as surrogates for confounding factors, which is further included in the subsequent eQTL mapping analysis. However, it is computationally challenging to determine the optimal number of PEER factors used for eQTL mapping. In particular, the standard a

SUBMITTER: Fan Y 

PROVIDER: S-EPMC8058772 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature