Evidence map›Paper›PMID 30100613›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2019

Development of an evidence-based algorithm that optimizes sensitivity and specificity in ES-based diagnostics of a clinically heterogeneous patient population.

Peter Bauer, Krishna Kumar Kandaswamy, Maximilian E R Weiss, Omid Paknia, Martin Werber, Aida M Bertoli-Avella, Zafer Yüksel, Malgorzata Bochinska, Gabriela E Oprea, Shivendra Kishore and 3 more

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Pathogenic or Likely Pathogenic GRN Variants Are Found in 0.1% of Parkinson's Disease Patients.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Biallelic variants inmedRxiv : the preprint server for health sciences · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. A homozygous MED11 C-terminal variant causes a lethal neurodegenerative disease.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
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  18. Article
  19. Biallelic variants inJournal of medical genetics · 2021
    Article
  20. 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
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

13 authors.

Peter BauerCentogene AG, Rostock, Germany. peter.bauer@centogene.com.
Krishna Kumar KandaswamyCentogene AG, Rostock, Germany.
Maximilian E R WeissCentogene AG, Rostock, Germany.
Omid PakniaCentogene AG, Rostock, Germany.
Martin WerberCentogene AG, Rostock, Germany.
Aida M Bertoli-AvellaCentogene AG, Rostock, Germany.
Zafer YükselCentogene AG, Rostock, Germany.
Malgorzata BochinskaCentogene AG, Rostock, Germany.
Gabriela E OpreaCentogene AG, Rostock, Germany.
Shivendra KishoreCentogene AG, Rostock, Germany.
Volkmar WeckesserCentogene AG, Rostock, Germany.
Ellen KargesCentogene AG, Rostock, Germany.
Arndt RolfsCentogene AG, Rostock, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNext-generation sequencing (NGS) is rapidly replacing Sanger sequencing in genetic diagnostics. Sensitivity and specificity of NGS approaches are not well-defined, but can be estimated from applying NGS and Sanger sequencing in parallel. Utilizing this strategy, we aimed at optimizing exome sequencing (ES)-based diagnostics of a clinically diverse patient population.

methodsConsecutive DNA samples from unrelated patients with suspected genetic disease were exome-sequenced; comparatively nonstringent criteria were applied in variant calling. One thousand forty-eight variants in genes compatible with the clinical diagnosis were followed up by Sanger sequencing. Based on a set of variant-specific features, predictors for true positives and true negatives were developed.

resultsSanger sequencing confirmed 81.9% of ES-derived variants. Calls from the lower end of stringency accounted for the majority of the false positives, but also contained ~5% of the true positives. A predictor incorporating three variant-specific features classified 91.7% of variants with 100% specificity and 99.75% sensitivity. Confirmation status of the remaining variants (8.3%) was not predictable.

conclusionsCriteria for variant calling in ES-based diagnostics impact on specificity and sensitivity. Confirmatory sequencing for a proportion of variants, therefore, remains a necessity. Our study exemplifies how these variants can be defined on an empirical basis.

Indexed as

Exome SequencingExomeGenetic Diseases, InbornGenetic VariationHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNAexome sequencingGenetic testingLaboratory standardsSensitivitySpecificity

Identifiers

PMID30100613
PMCPMC6752300

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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.