For diseases that do not follow a clear Mendelian pattern of inheritance no
nparametric tests applied to affected sibs have been shown to be robust to
the inherent uncertainty about the precise underlying genetic model. It is
known that the weights optimizing the power of tests using IBD alleles shar
ed by affected sib pairs or triples depend on the underlying model. We show
how efficiency robustness techniques, used in other areas of statistics, p
rovide a systematic approach for constructing a robust linear combination o
f the statistics that are optimal for the individual members of a family of
plausible genetic models. The method depends on the correlation matrix of
the optimal tests as these correlations reflect ho how different the models
are. When the minimal correlation is less than 0.5, an alternate robust pr
ocedure is proposed. The methods apply to combining data from sibships of d
ifferent sizes.