ArticleHuman mutation2017
Reports from CAGI: The Critical Assessment of Genome Interpretation.
Article in Human mutation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed.
- Variant Impact Predictor database (VIPdb), version 2: trends from three decades of genetic variant impact predictors.Human genomics · 2024Article
- Variant Impact Predictor database (VIPdb), version 2: Trends from 25 years of genetic variant impact predictors.bioRxiv : the preprint server for biology · 2024Article
- GUANinE v1.0: Benchmark Datasets for Genomic AI Sequence-to-Function Models.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
- Genome interpretation using in silico predictors of variant impact.Human genetics · 2022Review
- Recent Advances in Machine Learning Variant Effect Prediction Tools for Protein Engineering.Industrial & engineering chemistry research · 2022Article
- PrecisionFDA Truth Challenge V2: Calling variants from short and long reads in difficult-to-map regions.Cell genomics · 2022Article
- An enhanced variant effect predictor based on a deep generative model and the Born-Again Networks.Scientific reports · 2021Article
- Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth.Cell reports. Medicine · 2021Article
- SAAFEC-SEQ: A Sequence-Based Method for Predicting the Effect of Single Point Mutations on Protein Thermodynamic Stability.International journal of molecular sciences · 2021Article
- Article
- Towards Accurate Genotype-Phenotype Correlations in the CYP2D6 Gene.Journal of personalized medicine · 2020Article
- Using deep mutational scanning to benchmark variant effect predictors and identify disease mutations.Molecular systems biology · 2020Article
- Matching whole genomes to rare genetic disorders: Identification of potential causative variants using phenotype-weighted knowledge in the CAGI SickKids5 clinical genomes challenge.Human mutation · 2020Article
- VIPdb, a genetic Variant Impact Predictor Database.Human mutation · 2019Article
- Gene-specific features enhance interpretation of mutational impact on acid α-glucosidase enzyme activity.Human mutation · 2019Article
- Predicting pathogenicity of missense variants with weakly supervised regression.Human mutation · 2019Article
- Assessment of predicted enzymatic activity of α-N-acetylglucosaminidase variants of unknown significance for CAGI 2016.Human mutation · 2019Article
- Reports from the fifth edition of CAGI: The Critical Assessment of Genome Interpretation.Human mutation · 2019Article
- BRCA1- and BRCA2-specific in silico tools for variant interpretation in the CAGI 5 ENIGMA challenge.Human mutation · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What Socratic 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 Socratic graph.