Evidence map›Paper›PMID 25834947›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2016

The challenge of comprehensive and consistent sequence variant interpretation between clinical laboratories.

Melanie G Pepin, Mitzi L Murray, Samuel Bailey, Dru Leistritz-Kessler, Ulrike Schwarze, Peter H Byers

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Clinical implications of conflicting variant interpretations in the cancer genetics clinic.Genetics in medicine : official journal of the American College of Medical Genetics · 2023
    Article
  8. Article
  9. Genotype and Cardiac Outcomes in Pediatric Dilated Cardiomyopathy.Journal of the American Heart Association · 2022
    Article
  10. Article
  11. Cross-Site Concordance Evaluation of Tumor DNA and RNA Sequencing Platforms for the CIMAC-CIDC Network.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Clinical Interpretation of Sequence Variants.Current protocols in human genetics · 2020
    Article
  17. Article
  18. In-silico Analysis ofInternational journal of molecular sciences · 2020
    Article
  19. 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.

Melanie G PepinDepartment of Pathology, University of Washington, Seattle, Washington, USA.ORCID http://orcid.org/0000-0001-6299-2971
Mitzi L MurrayDepartment of Pathology, University of Washington, Seattle, Washington, USA.
Samuel BaileyDepartment of Pathology, University of Washington, Seattle, Washington, USA.
Dru Leistritz-KesslerDepartment of Pathology, University of Washington, Seattle, Washington, USA.
Ulrike SchwarzeDepartment of Pathology, University of Washington, Seattle, Washington, USA.
Peter H ByersDepartment of Pathology, University of Washington, Seattle, Washington, USA.ORCID http://orcid.org/0000-0001-7786-7030

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGenetic testing has shifted from academic laboratories with expertise in specific genes to commercial laboratories that offer tests of a diverse array of genes. The purpose of this comparative study was to determine whether one academic laboratory's model of variant interpretation is similar to that of several commercial laboratories.

methodsThe Collagen Diagnostic Laboratory (CDL) received, over a 14-month period, 38 requests to interpret variants originally identified by an outside laboratory (OL). The interpretations by the OL and CDL were compared and discrepancies were assessed.

resultsInterpretations from the OL and CDL were concordant in 11 inquiries (29%); discrepancies were moderate in 11 instances (29%) and significant in 16 (42%). Factors that caused discrepancies included the following: (i) private data were not shared in a public database (n = 9); (ii) publicly available allele frequency data were not referenced and used as evidence (n = 5); and (iii) important aspects of protein structure and function were not taken into account (n = 13).

conclusionComprehensive interpretation of sequence variants depends on good functional tests and well-curated variant databases. Provision of clinical information to the clinical laboratory, mandatory submission of identified variants with phenotype data to common resources, and collaboration between clinical laboratories and recognized experts is likely to improve consistency in variant interpretation among clinical laboratories.Genet Med 18 1, 20-24.

Indexed as

Data Interpretation, StatisticalGene FrequencyGenetic Association StudiesGenetic TestingGenetic VariationHumansReproducibility of ResultsSequence Analysis, DNA

Identifiers

PMID25834947

What OpenQuestion holds

Textmetadata
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.