Integrative analysis of genetical genomics data incorporating network structures.

ABSTRACT: In a living organism, tens of thousands of genes are expressed and interact with each other to achieve necessary cellular functions. Gene regulatory networks contain information on regulatory mechanisms and the functions of gene expressions. Thus, incorporating network structures, discerned either through biological experiments or statistical estimations, could potentially increase the selection and estimation accuracy of genes associated with a phenotype of interest. Here, we considered a gene selection problem using gene expression data and the graphical structures found in gene networks. Because gene expression measurements are intermediate phenotypes between a trait and its associated genes, we adopted an instrumental variable regression approach. We treated genetic variants as instrum

SUBMITTER: Gao B 

PROVIDER: S-EPMC6810723 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature