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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...

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Detalles Bibliográficos
Autores principales: Valente, André X. C. N., Zischkau, Joseph, Shin, Joo Heon, Gao, Yuan, Sarkar, Abhijit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
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.
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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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