title: Automated quality control for genome wide association studies.
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.
authors.affiliation: Division 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.
authors.forename: Sally R
authors.initials: SR
authors.lastname: Ellingson
authors.affiliation: Department of Biostatistics,, University of Kentucky, Lexington, KY, 40536, USA.
authors.forename: David W
authors.initials: DW
authors.lastname: Fardo
keywords: Genome wide association; genotype information; quality control