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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.

SUBMITTER: Ellingson SR 

PROVIDER: S-EPMC5007749 | biostudies-other | 2016

REPOSITORIES: biostudies-other

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Automated quality control for genome wide association studies.

Ellingson Sally R SR   Fardo David W DW  

F1000Research 20160729

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. ...[more]