Motivation: The investigation of common disorders of polygenic inherit
ance using both population-based association designs and non-parametri
c linkage analysis within families is gaining increasing importance. W
e have created a program that allows for the flexible simulation of po
pulations as a tool to investigate the properties of population-based
mapping approaches. Results: We have created a population simulation p
rogram, POPSIM, that (i) creates a virtual representation of every ind
ividual, (ii) makes no prior assumptions but the Mendelian rules and (
iii) allows populations of several million individuals in size to be g
enerated and to be followed over hundreds of generations. The paramete
rs of the disease model, population structure and population expansion
rate can be specified. Flexible sampling options exist that allow sam
ples of families and individuals to be drawn at any given point during
the population history. The program may be a useful tool in the study
of the influence of genetic drift, recombination and admixture on the
generation and maintenance of linkage disequilibrium in populations,
as well as the evaluation of stochastic sampling characteristics of fa
milies and individuals conditional on a complex genetic phenotype from
homogeneous and heterogeneous populations.