Evidence map›Paper›PMID 31732716›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2020

Diagnostic gene sequencing panels: from design to report-a technical standard of the American College of Medical Genetics and Genomics (ACMG).

Lora J H Bean, Birgit Funke, Colleen M Carlston, Jennifer L Gannon, Sibel Kantarci, Bryan L Krock, Shulin Zhang, Pinar Bayrak-Toydemir, ACMG Laboratory Quality Assurance Committee

Abstract read
PubMed Publisher
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.

0numbers the graph read from it
0cells of the map it votes in
104citing 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

104 citing papers in PubMed.

  1. Evidence-based classification of genes implicated in craniosynostosis disorders using the ClinGen curation framework.Genetics in medicine : official journal of the American College of Medical Genetics · 2026
    Article
  2. Article
  3. Review
  4. Iron Overload: Pathophysiology, Diagnosis and Monitoring.International journal of laboratory hematology · 2026
    Review
  5. Article
  6. Evidence-based classification of genes implicated in skeletal disorders using the ClinGen curation framework.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

44 more citing papers are in PubMed but not listed here.

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

9 authors.

Lora J H BeanDepartment of Human Genetics, Emory University, Atlanta, GA, USA.ORCID http://orcid.org/0000-0002-1653-8011
Birgit FunkeDepartment of Pathology, Harvard Medical School/Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0001-6643-3640
Colleen M CarlstonSchool of Medicine, University of California, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-2901-8610
Jennifer L GannonDivision of Clinical Genetics, Children's Mercy Hospital, Kansas City, MO, USA.
Sibel KantarciQuest Diagnostics Nichols Institute, San Juan Capistrano, CA, USA.ORCID http://orcid.org/0000-0001-5736-3118
Bryan L KrockDivision of Genomic Diagnostics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Shulin ZhangDepartment of Pathology and Laboratory Medicine, University of Kentucky, Lexington, KY, USA.
Pinar Bayrak-ToydemirDepartment of Pathology, University of Utah, Salt Lake City, UT, USA.
ACMG Laboratory Quality Assurance Committee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene sequencing panels are a powerful diagnostic tool for many clinical presentations associated with genetic disorders. Advances in DNA sequencing technology have made gene panels more economical, flexible, and efficient. Because the genes included on gene panels vary widely between laboratories in gene content (e.g., number, reason for inclusion, evidence level for gene-disease association) and technical completeness (e.g., depth of coverage), standards that address technical and clinical aspects of gene panels are needed. This document serves as a technical standard for laboratories designing, offering, and reporting gene panel testing. Although these principles can apply to multiple indications for genetic testing, the primary focus is on diagnostic gene panels (as opposed to carrier screening or predictive testing) with emphasis on technical considerations for the specific genes being tested. This technical standard specifically addresses the impact of gene panel content on clinical sensitivity, specificity, and validity-in the context of gene evidence for contribution to and strength of evidence for gene-disease association-as well as technical considerations such as sequencing limitations, presence of pseudogenes/gene families, mosaicism, transcript choice, detection of copy-number variants, reporting, and disclosure of assay limitations.

Indexed as

Genetics, MedicalGenetic TestingGenomicsHigh-Throughput Nucleotide SequencingHumansLaboratoriesMolecular Diagnostic TechniquesMutationUnited Statesdesigngene panel sequencinggenetic testingnext-generation sequencing (NGS)technical standard

Identifiers

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.