ArticleF1000Research2016
dbVar structural variant cluster set for data analysis and variant comparison.
Article in F1000Research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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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.
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Who cites it
14 citing papers in PubMed, 17 citations in OpenAlex.
- Precision Profiling of the Cardiovascular Post-Translationally Modified Proteome.Journal of cardiovascular development and disease · 2026Review
- Plasma Extracellular Vesicle-derived MicroRNA Associated with Human Alpha-1 Antitrypsin Deficiency-mediated Liver Disease.Journal of clinical and translational hepatology · 2025Article
- SVJedi-graph: improving the genotyping of close and overlapping structural variants with long reads using a variation graph.Bioinformatics (Oxford, England) · 2023Article
- Transcriptome analysis of well-differentiated laryngeal squamous cell carcinoma cells in below-background environment.Annals of translational medicine · 2022Article
- A study of transposable element-associated structural variations (TASVs) using a de novo-assembled Korean genome.Experimental & molecular medicine · 2021Article
- A study of normal copy number variations in Israeli population.Human genetics · 2021Article
- Accessing NCBI data using the NCBI Sequence Viewer and Genome Data Viewer (GDV).Genome research · 2021Article
- In silico mutagenesis of human ACE2 with S protein and translational efficiency explain SARS-CoV-2 infectivity in different species.PLoS computational biology · 2020Article
- Transcriptome sequencing analysis reveals unique and shared antitumor effects of three statins in pancreatic cancer.Oncology reports · 2020Article
- A Novel LINS1 Truncating Mutation in Autosomal Recessive Nonsyndromic Intellectual Disability.Frontiers in psychiatry · 2020Article
- Review
- Genenames.org: the HGNC and VGNC resources in 2019.Nucleic acids research · 2019Article
- Systematics for types and effects of DNA variations.BMC genomics · 2018Review
- MECP2 variation in Rett syndrome-An overview of current coverage of genetic and phenotype data within existing databases.Human mutation · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
dbVar houses over 3 million submitted structural variants (SSV) from 120 human studies including copy number variations (CNV), insertions, deletions, inversions, translocations, and complex chromosomal rearrangements. Users can submit multiple SSVs to dbVAR that are presumably identical, but were ascertained by different platforms and samples, to calculate whether the variant is rare or common in the population and allow for cross validation. However, because SSV genomic location reporting can vary - including fuzzy locations where the start and/or end points are not precisely known - analysis, comparison, annotation, and reporting of SSVs across studies can be difficult. This project was initiated by the Structural Variant Comparison Group for the purpose of generating a non-redundant set of genomic regions defined by counts of concordance for all human SSVs placed on RefSeq assembly GRCh38 (RefSeq accession GCF_000001405.26). We intend that the availability of these regions, called structural variant clusters (SVCs), will facilitate the analysis, annotation, and exchange of SV data and allow for simplified display in genomic sequence viewers for improved variant interpretation. Sets of SVCs were generated by variant type for each of the 120 studies as well as for a combined set across all studies. Starting from 3.64 million SSVs, 2.5 million and 3.4 million non-redundant SVCs with count >=1 were generated by variant type for each study and across all studies, respectively. In addition, we have developed utilities for annotating, searching, and filtering SVC data in GVF format for computing summary statistics, exporting data for genomic viewers, and annotating the SVC using external data sources.
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Registered trials
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.