simSNP is a data.frame containing a bivariate outcome as in a case-control study, a continous covariate
and 10 simulated SNPs. SNPs 1 and 2 have an interaction effect on the outcome. Penetrances
are specified as in model 1 of Ritchie et al.(2003)
simSNPcont is a data.frame containing a continuous normally distributed outcome and 10 simulated SNPs, where SNPs 1 and 2 have an interaction effect on the outcome.
1 2 3
simSNP is a data frame with 400 observations on the following 12 variables.
||Outcome: 1=case, 0=control|
||SNP genotype data 1|
||SNP genotype data 2|
||SNP genotype data 10|
SNP values are coded as: 0=common homozygous, 1=heterozygous, 2=variant homozygous.
simSNPcont has a continous outcome and the same SNPs.
Ritchie M.D., Hahn L.W., Moore J.H. (2003) Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity. Genetic Epidemiology 24, 150-157
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