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PsyMuKB: An Integrative De Novo Variant Knowledge Base for Developmental Disorders
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-generati...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943783/ https://www.ncbi.nlm.nih.gov/pubmed/31809863 http://dx.doi.org/10.1016/j.gpb.2019.10.002 |
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author | Lin, Guan Ning Guo, Sijia Tan, Xian Wang, Weidi Qian, Wei Song, Weichen Wang, Jingru Yu, Shunying Wang, Zhen Cui, Donghong Wang, Han |
author_facet | Lin, Guan Ning Guo, Sijia Tan, Xian Wang, Weidi Qian, Wei Song, Weichen Wang, Jingru Yu, Shunying Wang, Zhen Cui, Donghong Wang, Han |
author_sort | Lin, Guan Ning |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6943783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-69437832020-01-09 PsyMuKB: An Integrative De Novo Variant Knowledge Base for Developmental Disorders Lin, Guan Ning Guo, Sijia Tan, Xian Wang, Weidi Qian, Wei Song, Weichen Wang, Jingru Yu, Shunying Wang, Zhen Cui, Donghong Wang, Han Genomics Proteomics Bioinformatics Database 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. Elsevier 2019-08 2019-12-04 /pmc/articles/PMC6943783/ /pubmed/31809863 http://dx.doi.org/10.1016/j.gpb.2019.10.002 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Database Lin, Guan Ning Guo, Sijia Tan, Xian Wang, Weidi Qian, Wei Song, Weichen Wang, Jingru Yu, Shunying Wang, Zhen Cui, Donghong Wang, Han PsyMuKB: An Integrative De Novo Variant Knowledge Base for Developmental Disorders |
title | PsyMuKB: An Integrative De Novo Variant Knowledge Base for Developmental Disorders |
title_full | PsyMuKB: An Integrative De Novo Variant Knowledge Base for Developmental Disorders |
title_fullStr | PsyMuKB: An Integrative De Novo Variant Knowledge Base for Developmental Disorders |
title_full_unstemmed | PsyMuKB: An Integrative De Novo Variant Knowledge Base for Developmental Disorders |
title_short | PsyMuKB: An Integrative De Novo Variant Knowledge Base for Developmental Disorders |
title_sort | psymukb: an integrative de novo variant knowledge base for developmental disorders |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943783/ https://www.ncbi.nlm.nih.gov/pubmed/31809863 http://dx.doi.org/10.1016/j.gpb.2019.10.002 |
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