INTERSNP
is a software for genome-wide interaction analysis (GWIA) of
case-control SNP data and quantitative traits. SNPs are selected for
joint analysis using a priori information. Sources of information to
define meaningful strategies can be statistical evidence
(single marker association at a moderate level, computed from the own
data) and genetic/biologic relevance (genomic
location, function class or pathway information). Our software product
implements
A logistic regression framework as well as
log-linear models for joint analysis of multiple SNPs.
Automatic handling of SNP annotation and
pathway information
Methods to account for multiple testing, in
particular, Monte-Carlo simulations to judge genome-wide significance.
A linear regression framework for analysis of
quantitative traits
Herold C,
Steffens M, Brockschmidt FF, Baur MP, Becker T (2009) INTERSNP:
Genome-wide Interaction Analysis Guided by a priori
Information. Bioinformatics. 2009 Dec 15;25(24):3275-81
