ArticleHuman mutation2019
VIPdb, a genetic Variant Impact Predictor Database.
Article in Human mutation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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.
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.
Who cites it
22 citing papers in PubMed.
- Interpreting human genetic variation at atomic resolution.Nature genetics · 2026Review
- Clinical Discovery and Molecular Analysis of Two Novel MSH2 Gene Mutations (p.Ala771Gly and p.Val797Gly) in Saudi Colorectal Cancer Patients: Potential Implications for Tumorigenesis.Health science reports · 2026Article
- Critical assessment of missense variant effect predictors on disease-relevant variant data.Human genetics · 2025Article
- Assessing Protein Surface-Based Scoring for Interpreting Genomic Variants.International journal of molecular sciences · 2024Article
- Variant Impact Predictor database (VIPdb), version 2: trends from three decades of genetic variant impact predictors.Human genomics · 2024Article
- Review
- Variant Effect Prediction in the Age of Machine Learning.Cold Spring Harbor perspectives in biology · 2024Review
- Variant Impact Predictor database (VIPdb), version 2: Trends from 25 years of genetic variant impact predictors.bioRxiv : the preprint server for biology · 2024Article
- CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods.Genome biology · 2024Article
- A Clinical Qualification Protocol Highlights Overlapping Genomic Influences and Neuro-Autonomic Mechanisms in Ehlers-Danlos and Long COVID-19 Syndromes.Current issues in molecular biology · 2023Article
- 3DVizSNP: a tool for rapidly visualizing missense mutations identified in high throughput experiments in iCn3D.BMC bioinformatics · 2023Article
- Calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for PP3/BP4 criteria.American journal of human genetics · 2022Article
- Genome interpretation using in silico predictors of variant impact.Human genetics · 2022Review
- A machine learning approach based on ACMG/AMP guidelines for genomic variant classification and prioritization.Scientific reports · 2022Article
- Strategies to Identify Genetic Variants Causing Infertility.Trends in molecular medicine · 2021Review
- Structural bioinformatics enhances mechanistic interpretation of genomic variation, demonstrated through the analyses of 935 distinct RAS family mutations.Bioinformatics (Oxford, England) · 2021Article
- Molecular mechanics and dynamic simulations of well-known Kabuki syndrome-associated KDM6A variants reveal putative mechanisms of dysfunction.Orphanet journal of rare diseases · 2021Article
- The Use of Whole Genome and Exome Sequencing for Newborn Screening: Challenges and Opportunities for Population Health.Frontiers in pediatrics · 2021Review
- Rhapsody: predicting the pathogenicity of human missense variants.Bioinformatics (Oxford, England) · 2020Article
- Analysis of protein missense alterations by combining sequence- and structure-based methods.Molecular genetics & genomic medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Genome sequencing identifies vast number of genetic variants. Predicting these variants' molecular and clinical effects is one of the preeminent challenges in human genetics. Accurate prediction of the impact of genetic variants improves our understanding of how genetic information is conveyed to molecular and cellular functions, and is an essential step towards precision medicine. Over one hundred tools/resources have been developed specifically for this purpose. We summarize these tools as well as their characteristics, in the genetic Variant Impact Predictor Database (VIPdb). This database will help researchers and clinicians explore appropriate tools, and inform the development of improved methods. VIPdb can be browsed and downloaded at https://genomeinterpretation.org/vipdb.
Indexed as
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What OpenQuestion holds
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.