MR-GGI: accurate inference of gene-gene interactions using Mendelian randomization.

ABSTRACT:

Background

Researchers have long studied the regulatory processes of genes to uncover their functions. Gene regulatory network analysis is one of the popular approaches for understanding these processes, requiring accurate identification of interactions among the genes to establish the gene regulatory network. Advances in genome-wide association studies and expression quantitative trait loci studies have led to a wealth of genomic data, facilitating more accurate inference of gene-gene interactions. However, unknown confounding factors may influence these interactions, making their interpretation complicated. Mendelian randomization (MR) has emerged as a valuable tool for causal inference in genetics, addressing confounding effects by estimating causal relationships using instrumen

SUBMITTER: Oh W 

PROVIDER: S-EPMC11094870 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature