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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
Descripción
Sumario: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.