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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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. |
format | Online Article Text |
id | pubmed-4357378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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