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BMC Genet. 2012 Jan 24;13:4. doi: 10.1186/1471-2156-13-4.

An R package "VariABEL" for genome-wide searching of potentially interacting loci by testing genotypic variance heterogeneity.

Author information

1
Department of Epidemiology, Erasmus MC, Rotterdam, 3000 CA, The Netherlands.

Abstract

BACKGROUND:

Hundreds of new loci have been discovered by genome-wide association studies of human traits. These studies mostly focused on associations between single locus and a trait. Interactions between genes and between genes and environmental factors are of interest as they can improve our understanding of the genetic background underlying complex traits. Genome-wide testing of complex genetic models is a computationally demanding task. Moreover, testing of such models leads to multiple comparison problems that reduce the probability of new findings. Assuming that the genetic model underlying a complex trait can include hundreds of genes and environmental factors, testing of these models in genome-wide association studies represent substantial difficulties.We and Pare with colleagues (2010) developed a method allowing to overcome such difficulties. The method is based on the fact that loci which are involved in interactions can show genotypic variance heterogeneity of a trait. Genome-wide testing of such heterogeneity can be a fast scanning approach which can point to the interacting genetic variants.

RESULTS:

In this work we present a new method, SVLM, allowing for variance heterogeneity analysis of imputed genetic variation. Type I error and power of this test are investigated and contracted with these of the Levene's test. We also present an R package, VariABEL, implementing existing and newly developed tests.

CONCLUSIONS:

Variance heterogeneity analysis is a promising method for detection of potentially interacting loci. New method and software package developed in this work will facilitate such analysis in genome-wide context.

PMID:
22272569
PMCID:
PMC3398297
DOI:
10.1186/1471-2156-13-4
[Indexed for MEDLINE]
Free PMC Article

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