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VaDE: a manually curated database of reproducible associations between various traits and human genomic polymorphisms.
Nagai, Yoko; Takahashi, Yasuko; Imanishi, Tadashi.
Afiliação
  • Nagai Y; Department of Molecular Life Science, Tokai University School of Medicine, Isehara, Kanagawa 259-1193, Japan.
  • Takahashi Y; Department of Molecular Life Science, Tokai University School of Medicine, Isehara, Kanagawa 259-1193, Japan.
  • Imanishi T; Department of Molecular Life Science, Tokai University School of Medicine, Isehara, Kanagawa 259-1193, Japan Data Management and Integration Team, Molecular Profiling Research Center for Drug Discovery, National Institute of Advanced Industrial Science and Technology, Koto-ku, Tokyo 135-0064, Japan imanishi@tokai-u.jp.
Nucleic Acids Res ; 43(Database issue): D868-72, 2015 Jan.
Article em En | MEDLINE | ID: mdl-25361969
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma Humano / Polimorfismo de Nucleotídeo Único / Bases de Dados de Ácidos Nucleicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Japão

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma Humano / Polimorfismo de Nucleotídeo Único / Bases de Dados de Ácidos Nucleicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Japão