Automated quality control for genome wide association studies [version 1; referees: 1 approved, 2 approved with reservations]
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/project...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
F1000 Research Ltd
2016-07-01
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| Series: | F1000Research |
| Subjects: | |
| Online Access: | http://f1000research.com/articles/5-1889/v1 |
| Summary: | 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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| ISSN: | 2046-1402 |