Evidence map›Paper›PMID 33452619›Full record

ArticleJournal of community genetics2021

Improving diagnostics of rare genetic diseases with NGS approaches.

Mateja Vinkšel, Karin Writzl, Aleš Maver, Borut Peterlin

Abstract read
In one paragraph

Article in Journal of community genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

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  11. Sustainability in translational genomics research with undiagnosed patients: What is it, why do we need it, and how do we do it?Genetics in medicine : official journal of the American College of Medical Genetics · 2025
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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

4 authors.

Mateja VinkšelClinical Institute of Genomic Medicine, University medical Centre Ljubljana, Zaloška cesta 7, Ljubljana, Slovenia.ORCID http://orcid.org/0000-0002-4158-4407
Karin WritzlClinical Institute of Genomic Medicine, University medical Centre Ljubljana, Zaloška cesta 7, Ljubljana, Slovenia.
Aleš MaverClinical Institute of Genomic Medicine, University medical Centre Ljubljana, Zaloška cesta 7, Ljubljana, Slovenia.
Borut PeterlinClinical Institute of Genomic Medicine, University medical Centre Ljubljana, Zaloška cesta 7, Ljubljana, Slovenia. borut.peterlin@guest.arnes.si.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to a rough estimate, one in fifteen people worldwide is affected by a rare disease. Rare diseases are therefore common in clinical practice; however, timely diagnosis of rare diseases is still challenging. Introduction of novel methods based on next-generation sequencing (NGS) technology offers a successful diagnosis of genetically heterogeneous disorders, even in case of unclear clinical diagnostic hypothesis. However, the application of novel technology differs among the centres and health systems significantly. Our goal is to discuss the impact of the implementation of NGS in the diagnosis of rare diseases and present advantages along with challenges of diagnostic approach. Systematic implementation of NGS in health systems can significantly improve the access of patients with rare diseases to diagnosis and reduce the dependence of national health systems for cross-border collaboration.

Indexed as

DiagnosticsHealthcare systemNext generation sequencingRare diseases

Identifiers

PMID33452619
PMCPMC8141085

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.