Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/109947
Title: Genome-wide association study heterogeneous cohort homogenization via subject weight knock-down
Authors: Valente, André X. C. N. 
Zischkau, Joseph
Shin, Joo Heon
Gao, Yuan
Sarkar, Abhijit
Issue Date: 2012
Publisher: Public Library of Science
metadata.degois.publication.title: PLoS ONE
metadata.degois.publication.volume: 7
metadata.degois.publication.issue: 10
Abstract: 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.
URI: http://hdl.handle.net/10316/109947
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0048653
Rights: openAccess
Appears in Collections:I&D CNC - Artigos em Revistas Internacionais

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