ArticleGenomics, proteomics & bioinformatics2019
PsyMuKB: An Integrative De Novo Variant Knowledge Base for Developmental Disorders.
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.
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Who cites it
12 citing papers in PubMed.
- Gene4Denovo2: an updated platform for human de novo mutations discovery and interpretation.Nucleic acids research · 2026Article
- Review of autism spectrum disorder databases for the identification of candidate genes.Database : the journal of biological databases and curation · 2025Review
- Immune signature of gene expression pattern shared by autism spectrum disorder and Huntington's disease.IBRO neuroscience reports · 2024Article
- Genomic insights into genes expressed specifically during infancy highlight their dominant influence on the neuronal system.BMC genomics · 2024Article
- Inferring the Effects of Protein Variants on Protein-Protein Interactions with Interpretable Transformer Representations.Research (Washington, D.C.) · 2023Article
- A Comprehensive Study of De Novo Mutations on the Protein-Protein Interaction Interfaces Provides New Insights into Developmental Delay.Biomolecules · 2022Article
- Embryonic Deletion of TXNIP in GABAergic Neurons Enhanced Oxidative Stress in PV+ Interneurons in Primary Somatosensory Cortex of Aging Mice: Relevance to Schizophrenia.Brain sciences · 2022Article
- De novo mutations identified by whole-genome sequencing implicate chromatin modifications in obsessive-compulsive disorder.Science advances · 2022Article
- Article
- Integrative Analysis Identified Key Schizophrenia Risk Factors from an Abnormal Behavior Mouse Gene Set.Life (Basel, Switzerland) · 2021Article
- Alternatively Splicing Interactomes Identify Novel Isoform-Specific Partners for NSD2.Frontiers in cell and developmental biology · 2021Article
- Big Data and the Brain: Peeking at the Future.Genomics, proteomics & bioinformatics · 2019Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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