Evidence map›Paper›PMID 35143074›Full record

ReviewHuman mutation2022

DECIPHER: Supporting the interpretation and sharing of rare disease phenotype-linked variant data to advance diagnosis and research.

Julia Foreman, Simon Brent, Daniel Perrett, Andrew P Bevan, Sarah E Hunt, Fiona Cunningham, Matthew E Hurles, Helen V Firth

Abstract readReview
In one paragraph

Review in Human mutation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Delineating theInternational journal of molecular sciences · 2026
    Review
  2. Article
  3. Genetic analysis of neurodegenerative diseases.The Journal of clinical investigation · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. The power of mouse models in the diagnostic odyssey of patients with rare congenital anomalies.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Mapping MAVE data for use in human genomics applications.bioRxiv : the preprint server for biology · 2024
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Resources and tools for rare disease variant interpretation.Frontiers in molecular biosciences · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Julia ForemanHuman Genetics Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.ORCID 0000-0003-4567-2479
Simon BrentHuman Genetics Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.ORCID 0000-0001-9145-1541
Daniel PerrettHuman Genetics Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.ORCID 0000-0002-5479-9386
Andrew P BevanHuman Genetics Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.ORCID 0000-0002-0656-9164
Sarah E HuntEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK.ORCID 0000-0002-8350-1235
Fiona CunninghamEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK.ORCID 0000-0002-7445-2419
Matthew E HurlesHuman Genetics Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.ORCID 0000-0002-2333-7015
Helen V FirthHuman Genetics Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.ORCID 0000-0002-6410-0882

Funding

Wellcome TrustWellcome Trust WT108749/Z/15/ZWellcome Trust WT200990/Z/16/ZWellcome Trust WT206194
6 · The paper itself

Abstract

DECIPHER (https://www.deciphergenomics.org) is a free web platform for sharing anonymized phenotype-linked variant data from rare disease patients. Its dynamic interpretation interfaces contextualize genomic and phenotypic data to enable more informed variant interpretation, incorporating international standards for variant classification. DECIPHER supports almost all types of germline and mosaic variation in the nuclear and mitochondrial genome: sequence variants, short tandem repeats, copy-number variants, and large structural variants. Patient phenotypes are deposited using Human Phenotype Ontology (HPO) terms, supplemented by quantitative data, which is aggregated to derive gene-specific phenotypic summaries. It hosts data from >250 projects from ~40 countries, openly sharing >40,000 patient records containing >51,000 variants and >172,000 phenotype terms. The rich phenotype-linked variant data in DECIPHER drives rare disease research and diagnosis by enabling patient matching within DECIPHER and with other resources, and has been cited in >2,600 publications. In this study, we describe the types of data deposited to DECIPHER, the variant interpretation tools, and patient matching interfaces which make DECIPHER an invaluable rare disease resource.

Indexed as

Databases, GeneticRare DiseasesGenomicsHumansPhenotypeSoftwaregenetic disordersgenomic medicinegenotype phenotype correlationMatchmaker Exchangerare diseasesvariant interpretationwhole-exome sequencingwhole-genome sequencing

Identifiers

PMID35143074
PMCPMC9303633

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.