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- Title
Detecting Gene-Gene Interactions Using Affected Sib Pair Analysis with Covariates.
- Authors
Holmans, Peter
- Abstract
Interest has recently focussed on allowing for interactions between loci as a way to increase power to detect linkage. In this paper, a simplified logistic regression method was used to perform affected sib pair analyses allowing for the inclusion of data from other loci. A systematic search of two-locus disease models was carried out to determine the situations in which this was advantageous. If IBD information is available (e.g. from a genome scan), it is unlikely that allowing for interactions will give a large lod score in the absence of linkage evidence from sinlge-locus analysis. Furthermore, allowing for interactions rarely gave a significant increase in power to detect linkage over a single-locus analysis, except for heterogeneity models with low KP. Conversely, the availability of disease-associated genotypes may greatly increase the power both to detect linkage to a second locus and interaction between the loci. These results indicate that when only IBD information is available, two-locus analysis of genome scan data should be restricted to regions giving peaks under single-locus analysis. If disease-associated genotypes are available, it may be worth re-analysing the whole genome. Copyright © 2002 S. Karger AG, Basel
- Publication
Human Heredity, 2002, Vol 53, Issue 2, p92
- ISSN
0001-5652
- Publication type
Article
- DOI
10.1159/000057987