Evidence map›Paper›PMID 28116331›Full record

ArticleMolecular genetics & genomic medicine2017

A comprehensive global genotype-phenotype database for rare diseases.

Daniel Trujillano, Gabriela-Elena Oprea, Yvonne Schmitz, Aida M Bertoli-Avella, Rami Abou Jamra, Arndt Rolfs

Abstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Expanding the Genetic and Phenotypic Spectrum of DYT-VPS16: The Importance of Splice-Site Variants.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  3. Article
  4. Journal of medical genetics · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. TheResearch square · 2024
    Article
  9. A novel pathogenicFrontiers in molecular neuroscience · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. LRRK2 Loss-of-Function Variants in Patients with Rare Diseases: No Evidence for a Phenotypic Impact.Movement disorders : official journal of the Movement Disorder Society · 2021
    Article
  20. Article
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

6 authors.

Daniel TrujillanoCentogene AG Rostock Germany.
Gabriela-Elena OpreaCentogene AG Rostock Germany.
Yvonne SchmitzCentogene AG Rostock Germany.
Aida M Bertoli-AvellaCentogene AG Rostock Germany.
Rami Abou JamraCentogene AGRostockGermany; Institute of Human GeneticsUniversity of Leipzig Hospitals and ClinicsLeipzigGermany.
Arndt RolfsCentogene AGRostockGermany; Albrecht-Kossel-Institute for NeuroregenerationMedical University RostockRostockGermany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ability to discover genetic variants in a patient runs far ahead of the ability to interpret them. Databases with accurate descriptions of the causal relationship between the variants and the phenotype are valuable since these are critical tools in clinical genetic diagnostics. Here, we introduce a comprehensive and global genotype-phenotype database focusing on rare diseases.

methodsThis database (CentoMD

resultsMore than 100,000 genetically screened individuals are documented in the database, resulting in more than 470 million variant detections. Approximately, 57% of the clinically relevant and uncertain variants in the database are novel. Notably, 3% of the genetic variants identified and previously reported in the literature as being associated with a particular rare disease were reclassified, based on internal evidence, as clinically irrelevant.

conclusionsThe database offers a comprehensive summary of the clinical validity and causality of detected gene variants with their associated phenotypes, and is a valuable tool for identifying new disease genes through the correlation of novel genetic variants with specific, well-defined phenotypes.

Indexed as

Clinical diagnosticsHPOrare diseasevariant database

Identifiers

PMID28116331
PMCPMC5241210

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.