Interpreting Functional Impact of Genetic Variations by Network QTL for Genotype-Phenotype Association Study.

ABSTRACT: An enormous challenge in the post-genome era is to annotate and resolve the consequences of genetic variation on diverse phenotypes. The genome-wide association study (GWAS) is a well-known method to identify potential genetic loci for complex traits from huge genetic variations, following which it is crucial to identify expression quantitative trait loci (eQTL). However, the conventional eQTL methods usually disregard the systematical role of single-nucleotide polymorphisms (SNPs) or genes, thereby overlooking many network-associated phenotypic determinates. Such a problem motivates us to recognize the network-based quantitative trait loci (QTL), i.e., network QTL (nQTL), which is to detect the cascade association as genotype → network → phenotype rather than conventional genotype → expre

SUBMITTER: Yuan K 

PROVIDER: S-EPMC8826544 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature