Related Experiment Video
Updated: May 17, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
Genome-wide association study heterogeneous cohort homogenization via subject weight knock-down
André X C N Valente1, Joseph Zischkau, Joo Heon Shin
1Systems Biology Group, Biocant - Biotechnology Innovation Center, Cantanhede, Portugal. andre.valente@biocant.pt
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.
Related Concept Videos
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Human Genetics
The complex relationship between genetics and psychology is observable through common biological components such...
Single Nucleotide Polymorphisms-SNPs
Confounding in Epidemiological Studies
Polygenic Traits
Polygenic Traits
