Genome-wide association tests by using block information in family data

By applying an association test to analyze the data sets from Genetic Analysis Workshop 15 Problem 3, we compare power using different haplotype-block information. The results from using both of the two different coding schemes show that the test using tight blocks with limited haplotype diversity w...

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Detalles Bibliográficos
Autores principales: Tang, Rui, Wang, Fei, Sha, Qiuying, Zhang, Shuanglin, Chen, Huann-Sheng
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2359871/
https://www.ncbi.nlm.nih.gov/pubmed/18466493
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author Tang, Rui
Wang, Fei
Sha, Qiuying
Zhang, Shuanglin
Chen, Huann-Sheng
author_facet Tang, Rui
Wang, Fei
Sha, Qiuying
Zhang, Shuanglin
Chen, Huann-Sheng
author_sort Tang, Rui
collection PubMed
description By applying an association test to analyze the data sets from Genetic Analysis Workshop 15 Problem 3, we compare power using different haplotype-block information. The results from using both of the two different coding schemes show that the test using tight blocks with limited haplotype diversity within each block is more powerful than that using evenly spaced blocks, and the latter is more powerful than that using single-marker blocks. By using carefully chosen haplotype blocks, the power of association tests may be enhanced.
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spelling pubmed-23598712008-05-06 Genome-wide association tests by using block information in family data Tang, Rui Wang, Fei Sha, Qiuying Zhang, Shuanglin Chen, Huann-Sheng BMC Proc Proceedings By applying an association test to analyze the data sets from Genetic Analysis Workshop 15 Problem 3, we compare power using different haplotype-block information. The results from using both of the two different coding schemes show that the test using tight blocks with limited haplotype diversity within each block is more powerful than that using evenly spaced blocks, and the latter is more powerful than that using single-marker blocks. By using carefully chosen haplotype blocks, the power of association tests may be enhanced. BioMed Central 2007-12-18 /pmc/articles/PMC2359871/ /pubmed/18466493 Text en Copyright © 2007 Tang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Tang, Rui
Wang, Fei
Sha, Qiuying
Zhang, Shuanglin
Chen, Huann-Sheng
Genome-wide association tests by using block information in family data
title Genome-wide association tests by using block information in family data
title_full Genome-wide association tests by using block information in family data
title_fullStr Genome-wide association tests by using block information in family data
title_full_unstemmed Genome-wide association tests by using block information in family data
title_short Genome-wide association tests by using block information in family data
title_sort genome-wide association tests by using block information in family data
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2359871/
https://www.ncbi.nlm.nih.gov/pubmed/18466493
work_keys_str_mv AT tangrui genomewideassociationtestsbyusingblockinformationinfamilydata
AT wangfei genomewideassociationtestsbyusingblockinformationinfamilydata
AT shaqiuying genomewideassociationtestsbyusingblockinformationinfamilydata
AT zhangshuanglin genomewideassociationtestsbyusingblockinformationinfamilydata
AT chenhuannsheng genomewideassociationtestsbyusingblockinformationinfamilydata

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