title: Genome-wide association study heterogeneous cohort homogenization via subject weight knock-down.
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.
authors.affiliation: Systems Biology Group, Biocant - Biotechnology Innovation Center, Cantanhede, Portugal. andre.valente@biocant.pt
authors.forename: André X C N
authors.initials: AX
authors.lastname: Valente
authors.forename: Joseph
authors.initials: J
authors.lastname: Zischkau
authors.forename: Joo Heon
authors.initials: JH
authors.lastname: Shin
authors.forename: Yuan
authors.initials: Y
authors.lastname: Gao
authors.forename: Abhijit
authors.initials: A
authors.lastname: Sarkar
mesh_terms: D000465:Algorithms; D015331:Cohort Studies; D003198:Computer Simulation; D005787:Gene Frequency; D020022:Genetic Predisposition to Disease / Q000235:genetics*; D055106:Genome-Wide Association Study / Q000379:methods* / Q000706:statistics & numerical data*; D005838:Genotype; D006801:Humans; D016015:Logistic Models; D010300:Parkinson Disease / Q000235:genetics; D010641:Phenotype; D020641:Polymorphism, Single Nucleotide; D015203:Reproducibility of Results