Systematic biological prioritization after a genome-wide association study: an application to nicotine dependence.
Ontology highlight
ABSTRACT: Motivation
A challenging problem after a genome-wide association study (GWAS) is to balance the statistical evidence of genotype-phenotype correlation with a priori evidence of biological relevance.Results
We introduce a method for systematically prioritizing single nucleotide polymorphisms (SNPs) for further study after a GWAS. The method combines evidence across multiple domains including statistical evidence of genotype-phenotype correlation, known pathways in the pathologic development of disease, SNP/gene functional properties, comparative genomics, prior evidence of genetic linkage, and linkage disequilibrium. We apply this method to a GWAS of nicotine dependence, and use simulated data to test it on several commercial SNP microarrays.Availability
A comprehensive database of biological prioritization scores for all known SNPs is available at http://zork.wustl.edu/gin. This can be used to prioritize nicotine dependence association studies through a straightforward mathematical formula-no special software is necessary.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Saccone SF
PROVIDER: S-EPMC2610477 | biostudies-literature |
REPOSITORIES: biostudies-literature
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