Evidence map›Paper›PMID 32813752›Full record

ArticlePloS one2020

SVAD: A genetic database curates non-ischemic sudden cardiac death-associated variants.

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 and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 47% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 1 institution in 2 countries.

Wei-Chih HuangDepartment of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan, R.O.C.
Hsin-Tzu HuangDepartment of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan, R.O.C.
Po-Yuan ChenDepartment of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan, R.O.C.
Wei-Chi WangDepartment of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan, R.O.C.
Tai-Ming KoDepartment of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan, R.O.C.
Sirjana ShresthaDepartment of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan, R.O.C.
Chi-Dung YangWarshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, China.
Chun-San TaiDepartment of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan, R.O.C.
Men-Yee ChiewDepartment of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan, R.O.C.
Yu-Pao ChouInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan, R.O.C.
Yu-Feng HuDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, R.O.C.
Hsien-Da HuangWarshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, China.ORCID 0000-0003-2857-7023
National Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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/.

Indexed as

Models, GeneticComputer SimulationDatabases, GeneticDeath, Sudden, CardiacHeart DiseasesHumansMutationPolymorphism, Single NucleotideRisk Assessment

Identifiers

PMID32813752
PMCPMC7437891
OpenAlexW3071070290

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.