Genome-Wide Association Study Heterogeneous Cohort Homogenization via Subject Weight Knock-Down

Authors

Andre X. C. N. Valente, Virginia Commonwealth University
Joseph Zischkau, Catholic University of America
Joo H. Shin, Johns Hopkins Medical Campus
Yuan Gao, Johns Hopkins Medical Campus
Abhijit Sarkar, Catholic University of America

Document Type

Article

Original Publication Date

2012

Journal/Book/Conference Title

PLOS ONE

Volume

7

DOI of Original Publication

10.1371/journal.pone.0048653

Comments

Originally Published at http://dx.doi.org/10.1371/journal.pone.0048653

Date of Submission

November 2014

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.

Rights

Copyright: © 2012 Valente et al. 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 credited.

Is Part Of

VCU Study of Biological Complexity Publications