Evidence map›Paper›PMID 32474937›Full record

ArticlePrenatal diagnosis2020

Evaluation and classification of severity for 176 genes on an expanded carrier screening panel.

Aishwarya Arjunan, Holly Bellerose, Raul Torres, Rotem Ben-Shachar, Jodi D Hoffman, Brad Angle, Robert Nathan Slotnick, Brittany N Simpson, Andrea M Lewis, Pilar L Magoulas and 8 more

Abstract readEvaluation Study
In one paragraph

Article in Prenatal diagnosis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Obtaining a Diagnostic Yield via Scan findings prior to the introduction of SEquencing retrospectivelY (ODYSSEY): a cohort study.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2026
    Article
  4. Article
  5. Article
  6. Towards a patient-centred classification of genetic disease severity.European journal of human genetics : EJHG · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Establishing the Medical Actionability of Genomic Variants.Annual review of genomics and human genetics · 2022
    Review
  17. Article
  18. Review
  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

18 authors.

Aishwarya ArjunanDivision of Medical Affairs, Myriad Women's Health, South San Francisco, CA, USA.ORCID 0000-0002-7863-2388
Holly BelleroseDivision of Medical Affairs, Myriad Women's Health, South San Francisco, CA, USA.
Raul TorresDivision of Medical Affairs, Myriad Women's Health, South San Francisco, CA, USA.
Rotem Ben-ShacharDivision of Medical Affairs, Myriad Women's Health, South San Francisco, CA, USA.
Jodi D HoffmanDepartment of Pediatric Genetics, Boston University School of Medicine, Boston, MA, USA.
Brad AngleDivision of Genetics, Advocate Children's Hospital, Park Ridge, IL, USA.
Robert Nathan SlotnickDepartment of Internal Medicine, Renown Health Cancer Institute, Reno, NV, USA.
Brittany N SimpsonDivision of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Andrea M LewisDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Pilar L MagoulasDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Kelly BontempoDivision of Genetics, Advocate Children's Hospital, Park Ridge, IL, USA.
Jeanine SchulzeDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
Jennifer TarpinianIndividualized Medical Genetics Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Jessica A BucherDivision of Genetics, Advocate Children's Hospital, Park Ridge, IL, USA.
Richard DineenDepartment of Clinical Genetics and Genomics, Rush University Medical Center, Chicago, IL, USA.
Allison GoetschDivision of Genetics, Birth Defects & Metabolism, Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.
Gabriel A LazarinDivision of Medical Affairs, Myriad Women's Health, South San Francisco, CA, USA.
Katherine Johansen TaberDivision of Medical Affairs, Myriad Women's Health, South San Francisco, CA, USA.ORCID 0000-0003-3051-2667

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisease severity is important when considering genes for inclusion on reproductive expanded carrier screening (ECS) panels. We applied a validated and previously published algorithm that classifies diseases into four severity categories (mild, moderate, severe, and profound) to 176 genes screened by ECS. Disease traits defining severity categories in the algorithm were then mapped to four severity-related ECS panel design criteria cited by the American College of Obstetricians and Gynecologists (ACOG).

methodsEight genetic counselors (GCs) and four medical geneticists (MDs) applied the severity algorithm to subsets of 176 genes. MDs and GCs then determined by group consensus how each of these disease traits mapped to ACOG severity criteria, enabling determination of the number of ACOG severity criteria met by each gene.

resultsUpon consensus GC and MD application of the severity algorithm, 68 (39%) genes were classified as profound, 71 (40%) as severe, 36 (20%) as moderate, and one (1%) as mild. After mapping of disease traits to ACOG severity criteria, 170 out of 176 genes (96.6%) were found to meet at least one of the four criteria, 129 genes (73.3%) met at least two, 73 genes (41.5%) met at least three, and 17 genes (9.7%) met all four.

conclusionThis study classified the severity of a large set of Mendelian genes by collaborative clinical expert application of a trait-based algorithm. Further, it operationalized difficult to interpret ACOG severity criteria via mapping of disease traits, thereby promoting consistency of ACOG criteria interpretation.

Indexed as

Genes, DevelopmentalGenetic CounselingAdolescentAlgorithmsChildChild, PreschoolCongenital AbnormalitiesFemaleGenetic Carrier ScreeningGenetic Diseases, InbornGenetic Predisposition to DiseaseHumansInfantInfant, NewbornMalePractice Guidelines as Topic

Identifiers

PMID32474937
PMCPMC7540025

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.