Automated quality control for genome wide association studies

نویسندگان

  • Sally R. Ellingson
  • David W. Fardo
  • Brad Chapman
  • Hilary Coller
  • Prasoon Agarwal
چکیده

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.

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عنوان ژورنال:

دوره 5  شماره 

صفحات  -

تاریخ انتشار 2016