The performance of some weakly parametric linkage tests in common use was c
ompared on 200 replicates of oligogenic inheritance from Genetic Analysis W
orkshop 10. Each random sample for the quantitative trait was dichotomized
at different thresholds and also selected through 2 affected sibs, generati
ng 8 combinations of sample and variable. The variance component program SO
LAR performed best with a continuous trait, even in selected samples, when
the population mean was used. The sib-pair program SIBPAL2 was best in most
other cases when the phenotype product, population mean, and empirical est
imates of pair correlations were used. The BETA program that introduced phe
notype products was slightly more powerful than maximum likelihood scores u
nder the null hypothesis and approached but did not exceed SIBPAL2 under it
s optimal conditions. Type I errors generally exceeded expectations from a
chi (2) test, but were conservative with respect to bounds on lods. All met
hods can be improved by use of the population mean, empirical correlations,
logistic representation for affection status, and correct lods for samples
that favour the null hypothesis. It remains uncertain whether all informat
ion can be extracted by weakly parametric methods and whether correction fo
r ascertainment bias demands a strongly parametric model. Performance on a
standard set of simulated data is indispensable for recognising optimal met
hods. Copyright (C) 2001 S. Karger AG, Basel.