Genome-wide association study heterogeneous cohort homogenization via subject weight knock-down.
André X C N Valente, Joseph Zischkau, Joo Heon Shin, Yuan Gao, Abhijit Sarkar
Author Information
André X C N Valente: Systems Biology Group, Biocant - Biotechnology Innovation Center, Cantanhede, Portugal. andre.valente@biocant.pt
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.
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Algorithms
Cohort Studies
Computer Simulation
Gene Frequency
Genetic Predisposition to Disease
Genome-Wide Association Study
Genotype
Humans
Logistic Models
Parkinson Disease
Phenotype
Polymorphism, Single Nucleotide
Reproducibility of Results
