Saccone_2008_Bioinformatics_24_1805

Reference

Title : Systematic biological prioritization after a genome-wide association study: an application to nicotine dependence - Saccone_2008_Bioinformatics_24_1805
Author(s) : Saccone SF , Saccone NL , Swan GE , Madden PA , Goate AM , Rice JP , Bierut LJ
Ref : Bioinformatics , 24 :1805 , 2008
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.

PubMedSearch : Saccone_2008_Bioinformatics_24_1805
PubMedID: 18565990

Related information

Citations formats

Saccone SF, Saccone NL, Swan GE, Madden PA, Goate AM, Rice JP, Bierut LJ (2008)
Systematic biological prioritization after a genome-wide association study: an application to nicotine dependence
Bioinformatics 24 :1805

Saccone SF, Saccone NL, Swan GE, Madden PA, Goate AM, Rice JP, Bierut LJ (2008)
Bioinformatics 24 :1805