Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1093/bioinformatics/14.5.458 | BIOINFORMATICS |
Keywords | Field | DocType |
computer simulation,population genetics | Population,Data mining,Quantitative trait locus,Linkage disequilibrium,Demography,Mendelian inheritance,Computer science,Virtual representation,Population genetics,Genetic drift,Sampling (statistics),Statistics | Journal |
Volume | Issue | ISSN |
14 | 5 | 1367-4803 |
Citations | PageRank | References |
2 | 0.76 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J Hampe | 1 | 21 | 6.81 |
| T Wienker | 2 | 2 | 0.76 |
| Stefan Schreiber | 3 | 2 | 1.43 |
| P Nürnberg | 4 | 2 | 0.76 |