In mapping diseases of complex aetiology, conventional linkage approac
hes narrow the location of the disease susceptibility locus to quite a
large region so that candidate gene association studies are then nece
ssary to further isolate these genes. However, even in the simplest sc
enario where the candidate locus is bi-allelic, two statistical tests
with various correcting factors have been proposed: a chi-square 1 df
test (counting chromosomes) which may be slightly conservative and a 2
df chi-square test (counting genotypes) which may lack power because
of the extra degree of freedom. This paper introduces a better and mor
e powerful alternative which turns out to be a compromise between the
two existing statistical tests. The asymptotic distribution of this te
st statistic is determined and the efficacy of the 3 tests are compare
d under different genetic models by simulation. (C) 1998 Wiley-Liss, I
nc.