Evidence map›Paper›PMID 31809863›Full record

ArticleGenomics, proteomics & bioinformatics2019

PsyMuKB: An Integrative De Novo Variant Knowledge Base for Developmental Disorders.

Guan Ning Lin, Sijia Guo, Xian Tan, Weidi Wang, Wei Qian, Weichen Song, Jingru Wang, Shunying Yu, Zhen Wang, Donghong Cui and 1 more

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Article
  2. Review of autism spectrum disorder databases for the identification of candidate genes.Database : the journal of biological databases and curation · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Big Data and the Brain: Peeking at the Future.Genomics, proteomics & bioinformatics · 2019
    Article
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

11 authors.

Guan Ning LinShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200030, China. Electronic address: nickgnlin@sjtu.edu.cn.
Sijia GuoCollege of Information Science and Technology, Northeast Normal University, Changchun 130117, China; Institution of Computational Biology, Northeast Normal University, Changchun 130117, China.
Xian TanCollege of Information Science and Technology, Northeast Normal University, Changchun 130117, China; Institution of Computational Biology, Northeast Normal University, Changchun 130117, China.
Weidi WangShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China.
Wei QianShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.
Weichen SongShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.
Jingru WangCollege of Information Science and Technology, Northeast Normal University, Changchun 130117, China; Institution of Computational Biology, Northeast Normal University, Changchun 130117, China.
Shunying YuShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China.
Zhen WangShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China.
Donghong CuiShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200030, China. Electronic address: donghongcui@smhc.org.cn.
Han WangCollege of Information Science and Technology, Northeast Normal University, Changchun 130117, China; Institution of Computational Biology, Northeast Normal University, Changchun 130117, China. Electronic address: wangh101@nenu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

De novo variants (DNVs) are one of the most significant contributors to severe early-onset genetic disorders such as autism spectrum disorder, intellectual disability, and other developmental and neuropsychiatric (DNP) disorders. Presently, a plethora of DNVs have been identified using next-generation sequencing, and many efforts have been made to understand their impact at the gene level. However, there has been little exploration of the effects at the isoform level. The brain contains a high level of alternative splicing and regulation, and exhibits a more divergent splicing program than other tissues. Therefore, it is crucial to explore variants at the transcriptional regulation level to better interpret the mechanisms underlying DNP disorders. To facilitate a better usage and improve the isoform-level interpretation of variants, we developed NeuroPsychiatric Mutation Knowledge Base (PsyMuKB). It contains a comprehensive, carefully curated list of DNVs with transcriptional and translational annotations to enable identification of isoform-specific mutations. PsyMuKB allows a flexible search of genes or variants and provides both table-based descriptions and associated visualizations, such as expression, transcript genomic structures, protein interactions, and the mutation sites mapped on the protein structures. It also provides an easy-to-use web interface, allowing users to rapidly visualize the locations and characteristics of mutations and the expression patterns of the impacted genes and isoforms. PsyMuKB thus constitutes a valuable resource for identifying tissue-specific DNVs for further functional studies of related disorders. PsyMuKB is freely accessible at http://psymukb.net.

Indexed as

Autism Spectrum DisorderComputational BiologyGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansIntellectual DisabilityKnowledge BasesMutationDatabaseDe novo mutationDevelopmental and neuropsychiatric disordersIsoformsTissue specificity

Identifiers

PMID31809863
PMCPMC6943783

What OpenQuestion holds

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LicenceCC BY
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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.