Network analysis of GWAS data

Mark D.M. Leiserson, Jonathan V. Eldridge, Sohini Ramachandran, Benjamin J. Raphael

Research output: Contribution to journalReview articlepeer-review

68 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)602-610
Number of pages9
JournalCurrent Opinion in Genetics and Development
Issue number6
StatePublished - Dec 2013
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Genetics
  • Developmental Biology


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