The affected-pedigree-member method: power to detect linkage
D.E. Weeks, L.D. Harby
Human Heredity, 45(1), 13-24 (Jan-Feb, 1995)
Abstract
The affected-pedigree-member (APM) method of linkage analysis is a
nonparametric statistic for testing for nonindependent segregation
of a marker to affected members of a pedigree. We present here
results of a simulation study evaluating the power of the APM method
to detect linkage. We have systematically explored, by computer
simulation, the effect of a variety of factors on the power to
detect linkage using the single-locus APM statistic. These factors
include mode of inheritance, marker polymorphism, the distance
between marker and disease, phenocopy rate, heterogeneity, and
misspecified marker allele frequencies. We also evaluated the
relative power obtained under fixed-structure sampling and
sequential sampling. For a dominant disease, sequential sampling led
to increased power as compared to fixed-structure sampling, while
for a recessive disease, there was no clear advantage in sampling
beyond nuclear families.
Allele-sharing linkage analysis