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Am J Hum Genet. 2009 Jul;85(1):13-24. doi: 10.1016/j.ajhg.2009.05.011. Epub 2009 Jun 18.

Gene ontology analysis of GWA study data sets provides insights into the biology of bipolar disorder.

Author information

  • 1MRC Centre for Neuropsychiatric Genetics and Genomics, Department of Psychological Medicine and Neurology, School of Medicine, Heath Park, CF23 6BQ Cardiff, UK. holmanspa@cardiff.ac.uk

Abstract

We present a method for testing overrepresentation of biological pathways, indexed by gene-ontology terms, in lists of significant SNPs from genome-wide association studies. This method corrects for linkage disequilibrium between SNPs, variable gene size, and multiple testing of nonindependent pathways. The method was applied to the Wellcome Trust Case-Control Consortium Crohn disease (CD) data set. At a general level, the biological basis of CD is relatively well known for a complex genetic trait, and it thus acted as a test of the method. The method, known as ALIGATOR (Association LIst Go AnnoTatOR), successfully detected biological pathways implicated in CD. The method was also applied to a meta-analysis of bipolar disorder, and it implicated the modulation of transcription and cellular activity, including that which occurs via hormonal action, as an important player in pathogenesis.

PMID:
19539887
[PubMed - indexed for MEDLINE]
PMCID:
PMC2706963
Free PMC Article
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