The SNP ratio test: pathway analysis of genome-wide association datasets

被引：106

作者：

O'Dushlaine, Colm ^{[1
]}

Kenny, Elaine ^{[1
]}

Heron, Elizabeth A. ^{[1
]}

Segurado, Ricardo ^{[1
]}

Gill, Michael ^{[1
]}

Morris, Derek W. ^{[1
]}

Corvin, Aiden ^{[1
]}

机构：

[1] Univ Dublin Trinity Coll, Dept Psychiat, Neuropsychiat Genet Res Grp, Dublin 2, Ireland

来源：

BIOINFORMATICS | 2009年 / 25卷 / 20期

基金：

爱尔兰科学基金会;

关键词：

SET;

D O I：

10.1093/bioinformatics/btp448

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：2762 / 2763

页数：2

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