HAPSIMU: a genetic simulation platform for population-based association studies
<p>Abstract</p> <p>Background</p> <p>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 s...
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doaj-c743372bf58e43b98ebd318de99b8dfa2020-11-24T21:39:30ZengBMCBMC Bioinformatics1471-21052008-08-019133110.1186/1471-2105-9-331HAPSIMU: a genetic simulation platform for population-based association studiesChen JieLiu JianfengZhang FengDeng Hong-Wen<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusion</p> <p>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.</p> http://www.biomedcentral.com/1471-2105/9/331 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chen Jie Liu Jianfeng Zhang Feng Deng Hong-Wen |
spellingShingle |
Chen Jie Liu Jianfeng Zhang Feng Deng Hong-Wen HAPSIMU: a genetic simulation platform for population-based association studies BMC Bioinformatics |
author_facet |
Chen Jie Liu Jianfeng Zhang Feng Deng Hong-Wen |
author_sort |
Chen Jie |
title |
HAPSIMU: a genetic simulation platform for population-based association studies |
title_short |
HAPSIMU: a genetic simulation platform for population-based association studies |
title_full |
HAPSIMU: a genetic simulation platform for population-based association studies |
title_fullStr |
HAPSIMU: a genetic simulation platform for population-based association studies |
title_full_unstemmed |
HAPSIMU: a genetic simulation platform for population-based association studies |
title_sort |
hapsimu: a genetic simulation platform for population-based association studies |
publisher |
BMC |
series |
BMC Bioinformatics |
issn |
1471-2105 |
publishDate |
2008-08-01 |
description |
<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusion</p> <p>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.</p> |
url |
http://www.biomedcentral.com/1471-2105/9/331 |
work_keys_str_mv |
AT chenjie hapsimuageneticsimulationplatformforpopulationbasedassociationstudies AT liujianfeng hapsimuageneticsimulationplatformforpopulationbasedassociationstudies AT zhangfeng hapsimuageneticsimulationplatformforpopulationbasedassociationstudies AT denghongwen hapsimuageneticsimulationplatformforpopulationbasedassociationstudies |
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1725930971424882688 |