Network analysis of GWAS data

作者:Leiserson Mark D M; Eldridge Jonathan V; Ramachandran Sohini; Raphael Benjamin J*
来源:Current Opinion in Genetics & Development, 2013, 23(6): 602-610.
DOI:10.1016/j.gde.2013.09.003

摘要

Genome-wide association studies (GWAS) identify genetic variants that distinguish a control population from a population with a specific trait. Two challenges in GWAS are: (1) identification of the causal variant within a longer haplotype that is associated with the trait; (2) identification of causal variants for polygenic traits that are caused by variants in multiple genes within a pathway. We review recent methods that use information in protein-protein and protein-DNA interaction networks to address these two challenges.

  • 出版日期2013-12