A network-driven approach for genome-wide association mapping.

ABSTRACT:

Motivation

It remains a challenge to detect associations between genotypes and phenotypes because of insufficient sample sizes and complex underlying mechanisms involved in associations. Fortunately, it is becoming more feasible to obtain gene expression data in addition to genotypes and phenotypes, giving us new opportunities to detect true genotype-phenotype associations while unveiling their association mechanisms.

Results

In this article, we propose a novel method, NETAM, that accurately detects associations between SNPs and phenotypes, as well as gene traits involved in such associations. We take a network-driven approach: NETAM first constructs an association network, where nodes represent SNPs, gene traits or phenotypes, and edges represent the strength of association

SUBMITTER: Lee S 

PROVIDER: S-EPMC4908354 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature