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Genome-Wide Association Study Heterogeneous Cohort Homogenization via Subject Weight Knock-Down
Population structure can be a source of both false-positive and false-negative findings in a genome-wide association study. This article proposes an approach that helps to reduce the false-positives. It consists of homogenizing the diseased/healthy phenotype ratio across the cohort, by decreasing th...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3483272/ https://www.ncbi.nlm.nih.gov/pubmed/23144770 http://dx.doi.org/10.1371/journal.pone.0048653 |
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author | Valente, André X. C. N. Zischkau, Joseph Shin, Joo Heon Gao, Yuan Sarkar, Abhijit |
author_facet | Valente, André X. C. N. Zischkau, Joseph Shin, Joo Heon Gao, Yuan Sarkar, Abhijit |
author_sort | Valente, André X. C. N. |
collection | PubMed |
description | Population structure can be a source of both false-positive and false-negative findings in a genome-wide association study. This article proposes an approach that helps to reduce the false-positives. It consists of homogenizing the diseased/healthy phenotype ratio across the cohort, by decreasing the statistical weight of selected individuals. After homogenization, the cohort is statistically handled as if originating from a single well-mixed population. The method was applied to homogenize a Parkinson's disease genome-wide association study cohort. |
format | Online Article Text |
id | pubmed-3483272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34832722012-11-09 Genome-Wide Association Study Heterogeneous Cohort Homogenization via Subject Weight Knock-Down Valente, André X. C. N. Zischkau, Joseph Shin, Joo Heon Gao, Yuan Sarkar, Abhijit PLoS One Research Article Population structure can be a source of both false-positive and false-negative findings in a genome-wide association study. This article proposes an approach that helps to reduce the false-positives. It consists of homogenizing the diseased/healthy phenotype ratio across the cohort, by decreasing the statistical weight of selected individuals. After homogenization, the cohort is statistically handled as if originating from a single well-mixed population. The method was applied to homogenize a Parkinson's disease genome-wide association study cohort. Public Library of Science 2012-10-29 /pmc/articles/PMC3483272/ /pubmed/23144770 http://dx.doi.org/10.1371/journal.pone.0048653 Text en © 2012 Valente 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 Valente, André X. C. N. Zischkau, Joseph Shin, Joo Heon Gao, Yuan Sarkar, Abhijit Genome-Wide Association Study Heterogeneous Cohort Homogenization via Subject Weight Knock-Down |
title | Genome-Wide Association Study Heterogeneous Cohort Homogenization via Subject Weight Knock-Down |
title_full | Genome-Wide Association Study Heterogeneous Cohort Homogenization via Subject Weight Knock-Down |
title_fullStr | Genome-Wide Association Study Heterogeneous Cohort Homogenization via Subject Weight Knock-Down |
title_full_unstemmed | Genome-Wide Association Study Heterogeneous Cohort Homogenization via Subject Weight Knock-Down |
title_short | Genome-Wide Association Study Heterogeneous Cohort Homogenization via Subject Weight Knock-Down |
title_sort | genome-wide association study heterogeneous cohort homogenization via subject weight knock-down |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3483272/ https://www.ncbi.nlm.nih.gov/pubmed/23144770 http://dx.doi.org/10.1371/journal.pone.0048653 |
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