Bioinformatics, Vol 14, 458-464, Copyright © 1998 by Oxford University Press
J Hampe, T Wienker, S Schreiber and P Nurnberg
MOTIVATION: The investigation of common disorders of polygenic inheritance
using both population-based association designs and non- parametric linkage
analysis within families is gaining increasing importance. We have created
a program that allows for the flexible simulation of populations as a tool
to investigate the properties of population-based mapping approaches.
RESULTS: We have created a population simulation program, POPSIM, that (i)
creates a virtual representation of every individual, (ii) makes no prior
assumptions but the Mendelian rules and (iii) allows populations of several
million individuals in size to be generated and to be followed over
hundreds of generations. The parameters of the disease model, population
structure and population expansion rate can be specified. Flexible sampling
options exist that allow samples 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 families and individuals conditional on a complex
genetic phenotype from homogeneous and heterogeneous populations.
AVAILABILITY: The source code as well as Sun and Windows NT4.0 console
executables of the program are available under http://www.ukrv.
de/ch/medgen/html/benutzer/j.hampe/popsim. html. CONTACT: J.
Hampe@mucosa.de
ARTICLES
POPSIM: a general population simulation program
IVth Department of Medicine, Charite Medical School Berlin, Germany. J.Hampe@mucosa.de
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