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Database Commons

a catalog of worldwide biological databases

Database Profile

General information

URL: http://svad.mbc.nctu.edu.tw
Full name: SCD Variants Annotation Database
Description: Here, we present the Sudden cardiac death (SCD) Variants Annotation Database (SVAD) to facilitate the interpretation of variants and to fulfill the needs of data integration. As a database, SVAD has accumulated ~2,300 variants by manually surveying pertinent literature. These data may lead to new insights into the molecular mechanisms underlying sudden cardiac death in different subtypes, or in different populations. To the best of our knowledge, the SVAD is the first resource to comprehensively provide integrated information of SCD-associated variants in various types of SCDs by manually surveying pertinent literature.
Year founded: 2020
Last update: 2020-08-19
Version: 1.0
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Country/Region: China

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Data type:
DNA
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Contact information

University/Institution: Chinese University of Hong Kong
Address: Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, China
City: HongKong
Province/State: HongKong
Country/Region: China
Contact name (PI/Team): Hsien-Da Huang
Contact email (PI/Helpdesk): huanghsienda@cuhk.edu.cn

Publications

32813752
SVAD: A genetic database curates non-ischemic sudden cardiac death-associated variants. [PMID: 32813752]
Wei-Chih Huang, Hsin-Tzu Huang, Po-Yuan Chen, Wei-Chi Wang, Tai-Ming Ko, Sirjana Shrestha, Chi-Dung Yang, Chun-San Tai, Men-Yee Chiew, Yu-Pao Chou, Yu-Feng Hu, Hsien-Da Huang

Sudden cardiac death (SCD) is an important cause of mortality worldwide. It accounts for approximately half of all deaths from cardiovascular disease. While coronary artery disease and acute myocardial infarction account for the majority of SCD in the elderly population, inherited cardiac diseases (inherited CDs) comprise a substantial proportion of younger SCD victims with a significant genetic component. Currently, the use of next-generation sequencing enables the rapid analysis to investigate relationships between genetic variants and inherited CDs causing SCD. Genetic contribution to risk has been considered an alternate predictor of SCD. In the past years, large numbers of SCD susceptibility variants were reported, but these results are scattered in numerous publications. Here, we present the SCD-associated Variants Annotation Database (SVAD) to facilitate the interpretation of variants and to meet the needs of data integration. SVAD contains data from a broad screening of scientific literature. It was constructed to provide a comprehensive collection of genetic variants along with integrated information regarding their effects. At present, SVAD has accumulated 2,292 entries within 1,239 variants by manually surveying pertinent literature, and approximately one-third of the collected variants are pathogenic/likely-pathogenic following the ACMG guidelines. To the best of our knowledge, SVAD is the most comprehensive database that can provide integrated information on the associated variants in various types of inherited CDs. SVAD represents a valuable source of variant information based on scientific literature and benefits clinicians and researchers, and it is now available on http://svad.mbc.nctu.edu.tw/.

PLoS ONE. 2020:15(8) | 0 Citations (from Europe PMC, 2024-04-20)

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Record metadata

Created on: 2020-11-08
Curated by:
Dong Zou [2021-01-06]
Yuansheng Zhang [2020-11-20]
Ming Chen [2020-11-08]