VSEAMS
Computational Tool
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DescriptionA pipeline for variant set enrichment analysis using summary GWAS data identifies IKZF3, BATF and ESRRA as key transcription factors in type 1 diabetes
Homepagehttp://github.com/ollyburren/vseams
Publications
VSEAMS: a pipeline for variant set enrichment analysis using summary GWAS data identifies IKZF3, BATF and ESRRA as key transcription factors in type 1 diabetes
Oliver S. Burren; Hui Guo; Chris Wallace
Motivation : Genome-wide association studies (GWAS) have identified many loci implicated in disease susceptibility. Integration of GWAS summary statistics (P-values) and functional genomic datasets should help to elucidate mechanisms.
Results : We extended a non-parametric SNP set enrichment method to test for enrichment of GWAS signals in functionally defined loci to a situation where only GWAS P-values are available. The approach is implemented in VSEAMS, a freely available software pipeline. We use VSEAMS to identify enrichment of type 1 diabetes (T1D) GWAS associations near genes that are targets for the transcription factors IKZF3, BATF and ESRRA. IKZF3 lies in a known T1D susceptibility region, while BATF and ESRRA overlap other immune disease susceptibility regions, validating our approach and suggesting novel avenues of research for T1D.
Availability and implementation : VSEAMS is available for download (http://github.com/ollyburren/vseams).
Contact : chris.wallace@cimr.cam.ac.uk
Supplementary information : Supplementary data are available at Bioinformatics online.
DOI: https://doi.org/10.1093/bioinformatics/btu571
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