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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Autores principales:	André X C N Valente, Joseph Zischkau, Joo Heon Shin, Yuan Gao, Abhijit Sarkar
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/89abea5092914630b59f3419c1ea003c
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spelling	oai:doaj.org-article:89abea5092914630b59f3419c1ea003c2021-11-18T08:10:42ZGenome-wide association study heterogeneous cohort homogenization via subject weight knock-down.1932-620310.1371/journal.pone.0048653https://doaj.org/article/89abea5092914630b59f3419c1ea003c2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23144770/?tool=EBIhttps://doaj.org/toc/1932-6203Population 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.André X C N ValenteJoseph ZischkauJoo Heon ShinYuan GaoAbhijit SarkarPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 10, p e48653 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q André X C N Valente Joseph Zischkau Joo Heon Shin Yuan Gao Abhijit Sarkar Genome-wide association study heterogeneous cohort homogenization via subject weight knock-down.
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	article
author	André X C N Valente Joseph Zischkau Joo Heon Shin Yuan Gao Abhijit Sarkar
author_facet	André X C N Valente Joseph Zischkau Joo Heon Shin Yuan Gao Abhijit Sarkar
author_sort	André X C N Valente
title	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_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_sort	genome-wide association study heterogeneous cohort homogenization via subject weight knock-down.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/89abea5092914630b59f3419c1ea003c
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Genome-wide association study heterogeneous cohort homogenization via subject weight knock-down.

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