Evidence map›Paper›PMID 30891420›Full record

ArticleMolecular genetics and metabolism reports2019

Next generation sequencing for clinical diagnostics: Five year experience of an academic laboratory.

Paige Hartman, Kenneth Beckman, Kevin Silverstein, Sophia Yohe, Matthew Schomaker, Christine Henzler, Getiria Onsongo, Ham Ching Lam, Sarah Munro, Jerry Daniel and 16 more

Abstract read
In one paragraph

Article in Molecular genetics and metabolism reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Role of non-coding variants in cardiovascular disease.Journal of cellular and molecular medicine · 2023
    Review
  10. Article
  11. Article
  12. Next-generation sequencing in dermatology.Frontiers in medicine · 2023
    Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. 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

26 authors.

Paige HartmanUniversity of Minnesota Medical School, Duluth, MN, United States of America.
Kenneth BeckmanUniversity of Minnesota Genomics Center, University of Minnesota, Minneapolis, MN, United States of America.
Kevin SilversteinMinnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN, United States of America.
Sophia YoheDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States of America.
Matthew SchomakerMolecular Diagnostics Laboratory, University of Minnesota Health, Minneapolis, MN, United States of America.
Christine HenzlerMinnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN, United States of America.
Getiria OnsongoDepartment of Mathematics, Statistics, and Computer Science, Macalaster College, St Paul, MN, United States of America.
Ham Ching LamMinnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN, United States of America.
Sarah MunroMinnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN, United States of America.
Jerry DanielUniversity of Minnesota Genomics Center, University of Minnesota, Minneapolis, MN, United States of America.
Bradley BillsteinUniversity of Minnesota Genomics Center, University of Minnesota, Minneapolis, MN, United States of America.
Archana DeshpandeUniversity of Minnesota Genomics Center, University of Minnesota, Minneapolis, MN, United States of America.
Adam HaugeIllumina Inc, San Diego, CA, United States of America.
Pawel MrozDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States of America.
Whiwon LeeMolecular Diagnostics Laboratory, University of Minnesota Health, Minneapolis, MN, United States of America.
Jennifer HolleInvitae, San Francisco, CA, United States of America.
Katie WiensMolecular Diagnostics Laboratory, University of Minnesota Health, Minneapolis, MN, United States of America.
Kylene KarnuthMolecular Diagnostics Laboratory, University of Minnesota Health, Minneapolis, MN, United States of America.
Teresa KemmerMolecular Diagnostics Laboratory, University of Minnesota Health, Minneapolis, MN, United States of America.
Michaela LearyMolecular Diagnostics Laboratory, University of Minnesota Health, Minneapolis, MN, United States of America.
Stephen MichelMolecular Diagnostics Laboratory, University of Minnesota Health, Minneapolis, MN, United States of America.
Laurie PohlmanMolecular Diagnostics Laboratory, University of Minnesota Health, Minneapolis, MN, United States of America.
Venugopal ThayanithyMolecular Diagnostics Laboratory, University of Minnesota Health, Minneapolis, MN, United States of America.
Andrew NelsonDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States of America.
Matthew BowerMolecular Diagnostics Laboratory, University of Minnesota Health, Minneapolis, MN, United States of America.
Bharat ThyagarajanDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical laboratories have adopted next generation sequencing (NGS) as a gold standard for the diagnosis of hereditary disorders because of its analytic accuracy, high throughput, and potential for cost-effectiveness. We describe the implementation of a single broad-based NGS sequencing assay to meet the genetic testing needs at the University of Minnesota. A single hybrid capture library preparation was used for each test ordered, data was informatically blinded to clinically-ordered genes, and identified variants were reviewed and classified by genetic counselors and molecular pathologists. We performed 2509 sequencing tests from August 2012 till December 2017. The diagnostic yield has remained steady at 25%, but the number of variants of uncertain significance (VUS) included in a patient report decreased over time with 50% of the patient reports including at least one VUS in 2012 and only 22% of the patient reports reporting a VUS in 2017 (p = .002). Among the various clinical specialties, the diagnostic yield was highest in dermatology (60% diagnostic yield) and ophthalmology (42% diagnostic yield) while the diagnostic yield was lowest in gastrointestinal diseases and pulmonary diseases (10% detection yield in both specialties). Deletion/duplication analysis was also implemented in a subset of panels ordered, with 9% of samples having a diagnostic finding using the deletion/duplication analysis. We have demonstrated the feasibility of this broad-based NGS platform to meet the needs of our academic institution by aggregating a sufficient sample volume from many individually rare tests and providing a flexible ordering for custom, patient-specific panels.

Indexed as

Copy number variationDiagnostic yieldMolecular diagnosticsNext generation sequencingPanel testingVariants of uncertain significance

Identifiers

PMID30891420
PMCPMC6403447

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.