Evidence map›Paper›PMID 35672798›Full record

ReviewGenome medicine2022

Addressing the routine failure to clinically identify monogenic cases of common disease.

Michael F Murray, Muin J Khoury, Noura S Abul-Husn

Abstract readLetterReview
In one paragraph

Review in Genome medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Opportunistic genomic screening has clinical utility: An interventional cohort study.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  6. Article
  7. Article
  8. Returning integrated genomic risk and clinical recommendations: The eMERGE study.Genetics in medicine : official journal of the American College of Medical Genetics · 2023
    Article
  9. Article
  10. From genetic variation to precision medicine.Cambridge prisms. Precision medicine · 2023
    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

3 authors.

Michael F MurrayYale Center for Genomic Health, Department of Genetics, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA. michael.murray@yale.edu.ORCID 0000-0003-2872-9816
Muin J KhouryOffice of Genomics and Precision Public Health, Office of Science, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, 30329, USA.
Noura S Abul-HusnInstitute for Genomic Health, Division of Genomic Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1041, New York, NY, 10029, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Changes in medical practice are needed to improve the diagnosis of monogenic forms of selected common diseases. This article seeks to focus attention on the need for universal genetic testing in common diseases for which the recommended clinical management of patients with specific monogenic forms of disease diverges from standard management and has evidence for improved outcomes.We review evidence from genomic screening of large patient cohorts, which has confirmed that important monogenic case identification failures are commonplace in routine clinical care. These case identification failures constitute diagnostic misattributions, where the care of individuals with monogenic disease defaults to the treatment plan offered to those with polygenic or non-genetic forms of the disease.The number of identifiable and actionable monogenic forms of common diseases is increasing with time. Here, we provide six examples of common diseases for which universal genetic test implementation would drive improved care. We examine the evidence to support genetic testing for common diseases, and discuss barriers to widespread implementation. Finally, we propose recommendations for changes to genetic testing and care delivery aimed at reducing diagnostic misattributions, to serve as a starting point for further evaluation and development of evidence-based guidelines for implementation.

Indexed as

DiseaseMissed DiagnosisGenetic TestingHumans

Identifiers

PMID35672798
PMCPMC9175445

What OpenQuestion holds

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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.