Network analysis of GWAS data.

Curr Opin Genet Dev

Department of Computer Science, Brown University, Providence, RI 02912, United States; Center for Computational Molecular Biology, Brown University, Providence, RI 02912, United States.

Published: December 2013

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.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3867794PMC
http://dx.doi.org/10.1016/j.gde.2013.09.003DOI Listing

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