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VaDE: a manually curated database of reproducible associations between various traits and human genomic polymorphisms
Genome-wide association studies (GWASs) have identified numerous single nucleotide polymorphisms (SNPs) associated with the development of common diseases. However, it is clear that genetic risk factors of common diseases are heterogeneous among human populations. Therefore, we developed a database...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383886/ https://www.ncbi.nlm.nih.gov/pubmed/25361969 http://dx.doi.org/10.1093/nar/gku1037 |
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author | Nagai, Yoko Takahashi, Yasuko Imanishi, Tadashi |
author_facet | Nagai, Yoko Takahashi, Yasuko Imanishi, Tadashi |
author_sort | Nagai, Yoko |
collection | PubMed |
description | Genome-wide association studies (GWASs) have identified numerous single nucleotide polymorphisms (SNPs) associated with the development of common diseases. However, it is clear that genetic risk factors of common diseases are heterogeneous among human populations. Therefore, we developed a database of genomic polymorphisms that are reproducibly associated with disease susceptibilities, drug responses and other traits for each human population: ‘VarySysDB Disease Edition’ (VaDE; http://bmi-tokai.jp/VaDE/). SNP-trait association data were obtained from the National Human Genome Research Institute GWAS (NHGRI GWAS) catalog and RAvariome, and we added detailed information of sample populations by curating original papers. In addition, we collected and curated original papers, and registered the detailed information of SNP-trait associations in VaDE. Then, we evaluated reproducibility of associations in each population by counting the number of significantly associated studies. VaDE provides literature-based SNP-trait association data and functional genomic region annotation for SNP functional research. SNP functional annotation data included experimental data of the ENCODE project, H-InvDB transcripts and the 1000 Genome Project. A user-friendly web interface was developed to assist quick search, easy download and fast swapping among viewers. We believe that our database will contribute to the future establishment of personalized medicine and increase our understanding of genetic factors underlying diseases. |
format | Online Article Text |
id | pubmed-4383886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43838862015-04-08 VaDE: a manually curated database of reproducible associations between various traits and human genomic polymorphisms Nagai, Yoko Takahashi, Yasuko Imanishi, Tadashi Nucleic Acids Res Database Issue Genome-wide association studies (GWASs) have identified numerous single nucleotide polymorphisms (SNPs) associated with the development of common diseases. However, it is clear that genetic risk factors of common diseases are heterogeneous among human populations. Therefore, we developed a database of genomic polymorphisms that are reproducibly associated with disease susceptibilities, drug responses and other traits for each human population: ‘VarySysDB Disease Edition’ (VaDE; http://bmi-tokai.jp/VaDE/). SNP-trait association data were obtained from the National Human Genome Research Institute GWAS (NHGRI GWAS) catalog and RAvariome, and we added detailed information of sample populations by curating original papers. In addition, we collected and curated original papers, and registered the detailed information of SNP-trait associations in VaDE. Then, we evaluated reproducibility of associations in each population by counting the number of significantly associated studies. VaDE provides literature-based SNP-trait association data and functional genomic region annotation for SNP functional research. SNP functional annotation data included experimental data of the ENCODE project, H-InvDB transcripts and the 1000 Genome Project. A user-friendly web interface was developed to assist quick search, easy download and fast swapping among viewers. We believe that our database will contribute to the future establishment of personalized medicine and increase our understanding of genetic factors underlying diseases. Oxford University Press 2014-10-31 2015-01-28 /pmc/articles/PMC4383886/ /pubmed/25361969 http://dx.doi.org/10.1093/nar/gku1037 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Nagai, Yoko Takahashi, Yasuko Imanishi, Tadashi VaDE: a manually curated database of reproducible associations between various traits and human genomic polymorphisms |
title | VaDE: a manually curated database of reproducible associations between various traits and human genomic polymorphisms |
title_full | VaDE: a manually curated database of reproducible associations between various traits and human genomic polymorphisms |
title_fullStr | VaDE: a manually curated database of reproducible associations between various traits and human genomic polymorphisms |
title_full_unstemmed | VaDE: a manually curated database of reproducible associations between various traits and human genomic polymorphisms |
title_short | VaDE: a manually curated database of reproducible associations between various traits and human genomic polymorphisms |
title_sort | vade: a manually curated database of reproducible associations between various traits and human genomic polymorphisms |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383886/ https://www.ncbi.nlm.nih.gov/pubmed/25361969 http://dx.doi.org/10.1093/nar/gku1037 |
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