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Updated: Mar 15, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
Automated quality control for genome wide association studies
Sally R Ellingson1, David W Fardo2
1Division of Biomedical Informatics, College of Medicine, University of Kentucky, Lexington, KY, 40536, USA; Cancer Research Informatics Shared Resource Facility, Markey Cancer Center, University of Kentucky, Lexington, KY, 40536, USA.
Abstract:
This paper provides details on the necessary steps to assess and control data in genome wide association studies (GWAS) using genotype information on a large number of genetic markers for large number of individuals. Due to varied study designs and genotyping platforms between multiple sites/projects as well as potential genotyping errors, it is important to ensure high quality data. Scripts and directions are provided to facilitate others in this process.

