Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

VaDE

General information

URL: http://bmi-tokai.jp/VaDE/
Full name: VarySysDB Disease Edition
Description: VaDE is a manually curated database of reproducible associations between various traits and human genomic polymorphisms
Year founded: 2015
Last update: 3/27/2015
Version: v1.0
Accessibility:
Unaccessible
Country/Region: Japan

Classification & Tag

Data type:
DNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Tokai University
Address: 2-28-4 Tomigaya, Shibuya, Tokyo 151-0063
City: Isehara
Province/State:
Country/Region: Japan
Contact name (PI/Team): Tadashi Imanishi
Contact email (PI/Helpdesk): imanishi@tokai-u.jp

Publications

25361969
VaDE: a manually curated database of reproducible associations between various traits and human genomic polymorphisms. [PMID: 25361969]
Nagai Y, Takahashi Y, Imanishi T.

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. © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2015:43(Database issue) | 3 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
6476/6895 (6.091%)
Health and medicine:
1635/1738 (5.984%)
6476
Total Rank
3
Citations
0.3
z-index

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Record metadata

Created on: 2015-06-20
Curated by:
Hongyan Yin [2016-03-31]
Mengwei Li [2016-02-15]
Hongyan Yin [2015-11-22]
Hongyan Yin [2015-06-26]