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A new gene-based association test for genome-wide association studies
Genome-wide association studies are widely used today to discover genetic factors that modify the risk of complex diseases. Usually, these methods work in a SNP-by-SNP fashion. We present a gene-based test that can be applied in the context of genome-wide association studies. We compare both strateg...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2795904/ https://www.ncbi.nlm.nih.gov/pubmed/20017997 |
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author | Buil, Alfonso Martinez-Perez, Angel Perera-Lluna, Alexandre Rib, Leonor Caminal, Pere Soria, Jose Manuel |
author_facet | Buil, Alfonso Martinez-Perez, Angel Perera-Lluna, Alexandre Rib, Leonor Caminal, Pere Soria, Jose Manuel |
author_sort | Buil, Alfonso |
collection | PubMed |
description | Genome-wide association studies are widely used today to discover genetic factors that modify the risk of complex diseases. Usually, these methods work in a SNP-by-SNP fashion. We present a gene-based test that can be applied in the context of genome-wide association studies. We compare both strategies, SNP-based and gene-based, in a sample of cases and controls for rheumatoid arthritis. We obtained different results using each strategy. The SNP-based test found the PTPN22 gene while the gene-based test found the PHF19-TRAF1-C5 region. That suggests that no single strategy performs better than another in all cases and that a certain underlying genetic architecture can be delineated more easily with one strategy rather than with another. |
format | Text |
id | pubmed-2795904 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-27959042009-12-18 A new gene-based association test for genome-wide association studies Buil, Alfonso Martinez-Perez, Angel Perera-Lluna, Alexandre Rib, Leonor Caminal, Pere Soria, Jose Manuel BMC Proc Proceedings Genome-wide association studies are widely used today to discover genetic factors that modify the risk of complex diseases. Usually, these methods work in a SNP-by-SNP fashion. We present a gene-based test that can be applied in the context of genome-wide association studies. We compare both strategies, SNP-based and gene-based, in a sample of cases and controls for rheumatoid arthritis. We obtained different results using each strategy. The SNP-based test found the PTPN22 gene while the gene-based test found the PHF19-TRAF1-C5 region. That suggests that no single strategy performs better than another in all cases and that a certain underlying genetic architecture can be delineated more easily with one strategy rather than with another. BioMed Central 2009-12-15 /pmc/articles/PMC2795904/ /pubmed/20017997 Text en Copyright ©2009 Buil et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Proceedings Buil, Alfonso Martinez-Perez, Angel Perera-Lluna, Alexandre Rib, Leonor Caminal, Pere Soria, Jose Manuel A new gene-based association test for genome-wide association studies |
title | A new gene-based association test for genome-wide association studies |
title_full | A new gene-based association test for genome-wide association studies |
title_fullStr | A new gene-based association test for genome-wide association studies |
title_full_unstemmed | A new gene-based association test for genome-wide association studies |
title_short | A new gene-based association test for genome-wide association studies |
title_sort | new gene-based association test for genome-wide association studies |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2795904/ https://www.ncbi.nlm.nih.gov/pubmed/20017997 |
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