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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File | Description | Size | Format | |
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GenomeWide-Association-Study-Heterogeneous-Cohort-Homogenization-via-Subject-Weight-KnockDownPLoS-ONE.pdf | 1.23 MB | Adobe PDF | View/Open |
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