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A Permutation Test for Oligoset DNA Pooling Studies

Case-control association studies often suffer from population stratification bias. A previous triple combination strategy of stratum matching, genomic controlling, and multiple DNA pooling can correct the bias and save genotyping cost. However the method requires researchers to prepare a multitude o...

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Detalles Bibliográficos
Autores principales: Huang, Hsiao-Yuan, Lin, Jui-Hsiang, Lee, Wen-Chung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4357378/
https://www.ncbi.nlm.nih.gov/pubmed/25763822
http://dx.doi.org/10.1371/journal.pone.0119096
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author Huang, Hsiao-Yuan
Lin, Jui-Hsiang
Lee, Wen-Chung
author_facet Huang, Hsiao-Yuan
Lin, Jui-Hsiang
Lee, Wen-Chung
author_sort Huang, Hsiao-Yuan
collection PubMed
description Case-control association studies often suffer from population stratification bias. A previous triple combination strategy of stratum matching, genomic controlling, and multiple DNA pooling can correct the bias and save genotyping cost. However the method requires researchers to prepare a multitude of DNA pools—more than 30 case-control pooling sets in total (polyset). In this paper, the authors propose a permutation test for oligoset DNA pooling studies. Monte-Carlo simulations show that the proposed test has a type I error rate under control and a power comparable to that of individual genotyping. For a researcher on a tight budget, oligoset DNA pooling is a viable option.
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spelling pubmed-43573782015-03-23 A Permutation Test for Oligoset DNA Pooling Studies Huang, Hsiao-Yuan Lin, Jui-Hsiang Lee, Wen-Chung PLoS One Research Article Case-control association studies often suffer from population stratification bias. A previous triple combination strategy of stratum matching, genomic controlling, and multiple DNA pooling can correct the bias and save genotyping cost. However the method requires researchers to prepare a multitude of DNA pools—more than 30 case-control pooling sets in total (polyset). In this paper, the authors propose a permutation test for oligoset DNA pooling studies. Monte-Carlo simulations show that the proposed test has a type I error rate under control and a power comparable to that of individual genotyping. For a researcher on a tight budget, oligoset DNA pooling is a viable option. Public Library of Science 2015-03-12 /pmc/articles/PMC4357378/ /pubmed/25763822 http://dx.doi.org/10.1371/journal.pone.0119096 Text en © 2015 Huang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Huang, Hsiao-Yuan
Lin, Jui-Hsiang
Lee, Wen-Chung
A Permutation Test for Oligoset DNA Pooling Studies
title A Permutation Test for Oligoset DNA Pooling Studies
title_full A Permutation Test for Oligoset DNA Pooling Studies
title_fullStr A Permutation Test for Oligoset DNA Pooling Studies
title_full_unstemmed A Permutation Test for Oligoset DNA Pooling Studies
title_short A Permutation Test for Oligoset DNA Pooling Studies
title_sort permutation test for oligoset dna pooling studies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4357378/
https://www.ncbi.nlm.nih.gov/pubmed/25763822
http://dx.doi.org/10.1371/journal.pone.0119096
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