Evidence map›Paper›PMID 27980697›Full record

ReviewThe EPMA journal2016

Discovery of biomarkers in rare diseases: innovative approaches by predictive and personalized medicine.

Basri Gülbakan, Rıza Köksal Özgül, Ayşe Yüzbaşıoğlu, Matthias Kohl, Hans-Peter Deigner, Meral Özgüç

Abstract readReview
In one paragraph

Review in The EPMA journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. LC-MS lipidomics of renal biopsies for the diagnosis of Fabry disease.Journal of mass spectrometry and advances in the clinical lab · 2021
    Article
  13. Article
  14. Article
  15. Review
  16. Biomarkers in Rare Demyelinating Disease of the Central Nervous System.International journal of molecular sciences · 2020
    Review
  17. Diagnosing rare diseases after the exome.Cold Spring Harbor molecular case studies · 2018
    Review
  18. Article
  19. 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.

Basri GülbakanPediatric Metabolism Unit, Institute of Child Health, Hacettepe University, Ankara, Turkey.
Rıza Köksal ÖzgülPediatric Metabolism Unit, Institute of Child Health, Hacettepe University, Ankara, Turkey.
Ayşe YüzbaşıoğluDepartment of Medical Biology & Biobank for Rare Disease, Faculty of Medicine, Hacettepe University, Ankara, Turkey.
Matthias KohlInstitute of Precision Medicine, Medical and Life Sciences Faculty, Furtwangen University, Villingen-Schwenningen, Germany.
Hans-Peter DeignerInstitute of Precision Medicine, Medical and Life Sciences Faculty, Furtwangen University, Villingen-Schwenningen, Germany ; Fraunhofer Institute IZI, EXIM Department, Rostock, Germany.
Meral ÖzgüçDepartment of Medical Biology & Biobank for Rare Disease, Faculty of Medicine, Hacettepe University, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are more than 8000 rare diseases (RDs) that affect >5 % of the world's population. Many of the RDs have no effective treatment and lack of knowledge creates delayed diagnosis making management difficult. The emerging concept of the personalized medicine allows for early screening, diagnosis, and individualized treatment of human diseases. In this context, the discovery of biomarkers in RDs will be of prime importance to enable timely prevention and effective treatment. Since 80 % of RDs are of genetic origin, identification of new genes and causative mutations become valuable biomarkers. Furthermore, dynamic markers such as expressed genes, metabolites, and proteins are also very important to follow prognosis and response the therapy. Recent advances in omics technologies and their use in combination can define pathophysiological pathways that can be drug targets. Biomarker discovery and their use in diagnosis in RDs is a major pillar in RD research.

Indexed as

BiobankBiomarker panelsDrug targetsIndividualized therapyInnovationMulti-omicsPredictive preventive personalized medicinePrognosisRare diseasesScreening

Identifiers

PMID27980697
PMCPMC5143439

What OpenQuestion holds

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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.