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Automated quality control for genome wide association studies
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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
F1000Research
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5007749/ https://www.ncbi.nlm.nih.gov/pubmed/27635224 http://dx.doi.org/10.12688/f1000research.9271.1 |
| _version_ | 1782451265368752128 |
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| author | Ellingson, Sally R. Fardo, David W. |
| author_facet | Ellingson, Sally R. Fardo, David W. |
| author_sort | Ellingson, Sally R. |
| collection | PubMed |
| description | 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. |
| format | Online Article Text |
| id | pubmed-5007749 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2016 |
| publisher | F1000Research |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-50077492016-09-14 Automated quality control for genome wide association studies Ellingson, Sally R. Fardo, David W. F1000Res Software Tool Article 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. F1000Research 2016-07-29 /pmc/articles/PMC5007749/ /pubmed/27635224 http://dx.doi.org/10.12688/f1000research.9271.1 Text en Copyright: © 2016 Ellingson SR and Fardo DW http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| spellingShingle | Software Tool Article Ellingson, Sally R. Fardo, David W. Automated quality control for genome wide association studies |
| title | Automated quality control for genome wide association studies |
| title_full | Automated quality control for genome wide association studies |
| title_fullStr | Automated quality control for genome wide association studies |
| title_full_unstemmed | Automated quality control for genome wide association studies |
| title_short | Automated quality control for genome wide association studies |
| title_sort | automated quality control for genome wide association studies |
| topic | Software Tool Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5007749/ https://www.ncbi.nlm.nih.gov/pubmed/27635224 http://dx.doi.org/10.12688/f1000research.9271.1 |
| work_keys_str_mv | AT ellingsonsallyr automatedqualitycontrolforgenomewideassociationstudies AT fardodavidw automatedqualitycontrolforgenomewideassociationstudies |