title: The SNP ratio test: pathway analysis of genome-wide association datasets.
abstract: We present a tool that assesses the enrichment of significant associations from genome-wide association studies (GWAS) in a pathway context. The SNP ratio test (SRT) compares the proportion of significant to all SNPs within genes that are part of a pathway and computes an empirical P-value based on comparisons to ratios in datasets where the assignment of case/control status has been randomized. We applied the SRT to a Parkinson's disease GWAS dataset, using the KEGG database, revealing significance for Parkinson's disease and related pathways.
  
  
  BACKGROUND
  https://sourceforge.net/projects/snpratiotest/
authors.affiliation: Neuropsychiatric Genetics Research Group, Department of Psychiatry, Trinity College Dublin, Ireland. codushlaine@gmail.com
authors.forename: Colm
authors.initials: C
authors.lastname: O'Dushlaine
authors.forename: Elaine
authors.initials: E
authors.lastname: Kenny
authors.forename: Elizabeth A
authors.initials: EA
authors.lastname: Heron
authors.forename: Ricardo
authors.initials: R
authors.lastname: Segurado
authors.forename: Michael
authors.initials: M
authors.lastname: Gill
authors.forename: Derek W
authors.initials: DW
authors.lastname: Morris
authors.forename: Aiden
authors.initials: A
authors.lastname: Corvin
mesh_terms: D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D016678:Genome; D055106:Genome-Wide Association Study / Q000379:methods*; D006801:Humans; D010300:Parkinson Disease / Q000235:genetics; D020641:Polymorphism, Single Nucleotide