Evidence map›Paper›PMID 34707284›Full record

ArticleNature2021

Disease variant prediction with deep generative models of evolutionary data.

Jonathan Frazer, Pascal Notin, Mafalda Dias, Aidan Gomez, Joseph K Min, Kelly Brock, Yarin Gal, Debora S Marks

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Nature, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 465 papers.

0numbers the graph read from it
0cells of the map it votes in
465citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

465 citing papers in PubMed.

  1. Review
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  13. Evolutionary profiles for protein fitness prediction.Bioinformatics (Oxford, England) · 2026
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. A NOTCH3 p.Gly1105Cys variant in CADASIL: clinical characterization and an updated overview of exon 20 variants.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article

405 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Jonathan Frazer *Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
Pascal Notin *OATML Group, Department of Computer Science, University of Oxford, Oxford, UK.
Mafalda Dias *Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
Aidan GomezOATML Group, Department of Computer Science, University of Oxford, Oxford, UK.
Joseph K MinMarks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-2781-7390
Kelly BrockMarks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
Yarin GalOATML Group, Department of Computer Science, University of Oxford, Oxford, UK. yarin.gal@cs.ox.ac.uk.ORCID http://orcid.org/0000-0002-2733-2078
Debora S MarksMarks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA. debbie@hms.harvard.edu.ORCID http://orcid.org/0000-0001-9388-2281

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantifying the pathogenicity of protein variants in human disease-related genes would have a marked effect on clinical decisions, yet the overwhelming majority (over 98%) of these variants still have unknown consequences

Indexed as

Evolution, MolecularGenetic VariationSelection, GeneticUnsupervised Machine LearningBayes TheoremBiological AssayDiseaseGenetic FitnessGenetic Predisposition to DiseaseHumansModels, MolecularPhenotypeProteinsProteins

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.