HAPSIMU: a genetic simulation platform for population-based association studies

MOspace/Manakin Repository

Breadcrumbs Navigation

HAPSIMU: a genetic simulation platform for population-based association studies

Please use this identifier to cite or link to this item: http://dx.doi.org/10.1186/1471-2105-9-331

[+] show full item record


Title: HAPSIMU: a genetic simulation platform for population-based association studies
Author: Zhang, Feng; Liu, Jianfeng; Chen, Jie; Deng, Hong-Wen
Date: 2008-08-05
Citation: BMC Bioinformatics. 2008 Aug 05;9(1):331
Abstract: Abstract Background Population structure is an important cause leading to inconsistent results in population-based association studies (PBAS) of human diseases. Various statistical methods have been proposed to reduce the negative impact of population structure on PBAS. Due to lack of structural information in real populations, it is difficult to evaluate the impact of population structure on PBAS in real populations. Results We developed a genetic simulation platform, HAPSIMU, based on real haplotype data from the HapMap ENCODE project. This platform can simulate heterogeneous populations with various known and controllable structures under the continuous migration model or the discrete model. Moreover, both qualitative and quantitative traits can be simulated using additive genetic model with various genetic parameters designated by users. Conclusion HAPSIMU provides a common genetic simulation platform to evaluate the impact of population structure on PBAS, and compare the relative performance of various population structure identification and PBAS methods.
URI: http://dx.doi.org/10.1186/1471-2105-9-331
http://hdl.handle.net/10355/15030

This item appears in the following Collection(s)

[+] show full item record