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A novel approach for multi-SNP GWAS and its application in Alzheimer’s disease
BACKGROUND: Genome-wide association studies (GWAS) have effectively identified genetic factors for many diseases. Many diseases, including Alzheimer’s disease (AD), have epistatic causes, requiring more sophisticated analyses to identify groups of variants which together affect phenotype. RESULTS: B...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4965706/ https://www.ncbi.nlm.nih.gov/pubmed/27453991 http://dx.doi.org/10.1186/s12859-016-1093-7 |
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author | Bodily, Paul M. Fujimoto, M. Stanley Page, Justin T. Clement, Mark J. Ebbert, Mark T. W. Ridge, Perry G. |
author_facet | Bodily, Paul M. Fujimoto, M. Stanley Page, Justin T. Clement, Mark J. Ebbert, Mark T. W. Ridge, Perry G. |
author_sort | Bodily, Paul M. |
collection | PubMed |
description | BACKGROUND: Genome-wide association studies (GWAS) have effectively identified genetic factors for many diseases. Many diseases, including Alzheimer’s disease (AD), have epistatic causes, requiring more sophisticated analyses to identify groups of variants which together affect phenotype. RESULTS: Based on the GWAS statistical model, we developed a multi-SNP GWAS analysis to identify pairs of variants whose common occurrence signaled the Alzheimer’s disease phenotype. CONCLUSIONS: Despite not having sufficient data to demonstrate significance, our preliminary experimentation identified a high correlation between GRIA3 and HLA-DRB5 (an AD gene). GRIA3 has not been previously reported in association with AD, but is known to play a role in learning and memory. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-1093-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4965706 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49657062016-08-02 A novel approach for multi-SNP GWAS and its application in Alzheimer’s disease Bodily, Paul M. Fujimoto, M. Stanley Page, Justin T. Clement, Mark J. Ebbert, Mark T. W. Ridge, Perry G. BMC Bioinformatics Research BACKGROUND: Genome-wide association studies (GWAS) have effectively identified genetic factors for many diseases. Many diseases, including Alzheimer’s disease (AD), have epistatic causes, requiring more sophisticated analyses to identify groups of variants which together affect phenotype. RESULTS: Based on the GWAS statistical model, we developed a multi-SNP GWAS analysis to identify pairs of variants whose common occurrence signaled the Alzheimer’s disease phenotype. CONCLUSIONS: Despite not having sufficient data to demonstrate significance, our preliminary experimentation identified a high correlation between GRIA3 and HLA-DRB5 (an AD gene). GRIA3 has not been previously reported in association with AD, but is known to play a role in learning and memory. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-1093-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-07-25 /pmc/articles/PMC4965706/ /pubmed/27453991 http://dx.doi.org/10.1186/s12859-016-1093-7 Text en © Bodily et al. 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Bodily, Paul M. Fujimoto, M. Stanley Page, Justin T. Clement, Mark J. Ebbert, Mark T. W. Ridge, Perry G. A novel approach for multi-SNP GWAS and its application in Alzheimer’s disease |
title | A novel approach for multi-SNP GWAS and its application in Alzheimer’s disease |
title_full | A novel approach for multi-SNP GWAS and its application in Alzheimer’s disease |
title_fullStr | A novel approach for multi-SNP GWAS and its application in Alzheimer’s disease |
title_full_unstemmed | A novel approach for multi-SNP GWAS and its application in Alzheimer’s disease |
title_short | A novel approach for multi-SNP GWAS and its application in Alzheimer’s disease |
title_sort | novel approach for multi-snp gwas and its application in alzheimer’s disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4965706/ https://www.ncbi.nlm.nih.gov/pubmed/27453991 http://dx.doi.org/10.1186/s12859-016-1093-7 |
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