Evidence map›Paper›PMID 37794142›Full record

ArticleCommunications medicine2023

The use of precision diagnostics for monogenic diabetes: a systematic review and expert opinion.

Rinki Murphy, Kevin Colclough, Toni I Pollin, Jennifer M Ikle, Pernille Svalastoga, Kristin A Maloney, Cécile Saint-Martin, Janne Molnes, ADA/EASD PMDI, Shivani Misra and 7 more

Open access · goldAbstract read
In one paragraph

Article in Communications medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
10.2field-weighted citation impact, top 1% of its field
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

26 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
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  11. Phenotypic and Genetic Diversity in Diabetes Across Populations.The Journal of clinical endocrinology and metabolism · 2025
    Review
  12. Review
  13. Review
  14. Article
  15. Neonatal and Syndromic Forms of Diabetes.Current diabetes reports · 2025
    Review
  16. Genetic Structure of Hereditary Forms of Diabetes Mellitus in Russia.International journal of molecular sciences · 2025
    Article
  17. Review
  18. Article
  19. Review
  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

17 authors at 20 institutions in 26 countries.

Rinki Murphy *Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand. R.murphy@auckland.ac.nz.ORCID http://orcid.org/0000-0002-0043-2423
Kevin Colclough *Exeter Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, United Kingdom.
Toni I Pollin *Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Jennifer M IkleDepartment of Pediatrics, Division of Endocrinology & Diabetes, Stanford School of Medicine, Stanford, CA, USA.
Pernille SvalastogaChildren and Youth Clinic, Haukeland University Hospital, Bergen, Norway.
Kristin A MaloneyDepartment of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID http://orcid.org/0000-0002-8607-1146
Cécile Saint-MartinDepartment of Medical Genetics, AP-HP Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France.
Janne MolnesMohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway.
ADA/EASD PMDI
Shivani MisraDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
Ingvild AukrustMohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway.
Elisa de FrancoDepartment of Clinical and Biomedical Science, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Sarah E FlanaganDepartment of Clinical and Biomedical Science, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.ORCID http://orcid.org/0000-0002-8670-6340
Pål R NjølstadChildren and Youth Clinic, Haukeland University Hospital, Bergen, Norway.ORCID http://orcid.org/0000-0003-0304-6728
Liana K BillingsDivision of Endocrinology, NorthShore University HealthSystem, Skokie, IL, USA.ORCID http://orcid.org/0000-0001-7991-3010
Katharine R OwenOxford Center for Diabetes, Endocrinology & Metabolism, University of Oxford, Oxford, UK.
Anna L GloynDepartment of Pediatrics, Division of Endocrinology & Diabetes, Stanford School of Medicine, Stanford, CA, USA. agloyn@stanford.edu.ORCID http://orcid.org/0000-0003-1205-1844
Johns Hopkins University · USUniversity of Copenhagen · DKBroad Institute · USUniversity of Exeter · GBHarvard University · USNorthwestern University · USChinese University of Hong Kong · HKUniversity of Dundee · GBUniversity of Maryland, Baltimore · USLund University · SEBrigham and Women's Hospital · USJoslin Diabetes Center · USNational Institutes of Health · USUniversity of South Dakota · USHaukeland University Hospital · NOHôpital Necker-Enfants Malades · FRIndiana University School of MedicineUniversity of Chicago · USUniversity of Pittsburgh · USAuckland Institute of Studies · NZ

Funding

Bridging the gap between type 2 diabetes GWAS and therapeutic targetsUM1DK126185 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CLAUSSNITZER, MELINA C, GLOYN, ANNA LOUISE · 2020 to 2024
$9.5M
Genomic Clinical Variant Expert Curation Panel for Monogenic Diabetes: A Gateway to Precision Medicine in Diabetes MellitusU24HD112205 · NICHD · UNIVERSITY OF MARYLAND BALTIMORE · PI TONI I. POLLIN · 2023 to 2026
$1.4M
Genomic Clinical Variant Expert Curation Panel for Monogenic Diabetes: A Gateway to Precision Medicine in Diabetes MellitusU24HD093486 · NICHD · UNIVERSITY OF MARYLAND BALTIMORE · PI POLLIN, TONI I. · 2017 to 2019
$816k
Insights into pancreatic beta-cell development from a novel mouse model of neonatal diabetesK08DK133676 · NIDDK · STANFORD UNIVERSITY · PI IKLE, JENNIFER M · 2022 to 2022
$169k
NICHD NIH HHS U24 HD093486NICHD NIH HHS U24 HD112205NIDDK NIH HHS K08 DK133676NIDDK NIH HHS UM1 DK126185Wellcome Trust 200837/Z/16/ZWellcome Trust 210752/Z/18/Z
6 · The paper itself

Abstract

backgroundMonogenic diabetes presents opportunities for precision medicine but is underdiagnosed. This review systematically assessed the evidence for (1) clinical criteria and (2) methods for genetic testing for monogenic diabetes, summarized resources for (3) considering a gene or (4) variant as causal for monogenic diabetes, provided expert recommendations for (5) reporting of results; and reviewed (6) next steps after monogenic diabetes diagnosis and (7) challenges in precision medicine field.

methodsPubmed and Embase databases were searched (1990-2022) using inclusion/exclusion criteria for studies that sequenced one or more monogenic diabetes genes in at least 100 probands (Question 1), evaluated a non-obsolete genetic testing method to diagnose monogenic diabetes (Question 2). The risk of bias was assessed using the revised QUADAS-2 tool. Existing guidelines were summarized for questions 3-5, and review of studies for questions 6-7, supplemented by expert recommendations. Results were summarized in tables and informed recommendations for clinical practice.

resultsThere are 100, 32, 36, and 14 studies included for questions 1, 2, 6, and 7 respectively. On this basis, four recommendations for who to test and five on how to test for monogenic diabetes are provided. Existing guidelines for variant curation and gene-disease validity curation are summarized. Reporting by gene names is recommended as an alternative to the term MODY. Key steps after making a genetic diagnosis and major gaps in our current knowledge are highlighted.

conclusionsWe provide a synthesis of current evidence and expert opinion on how to use precision diagnostics to identify individuals with monogenic diabetes.

Identifiers

PMID37794142
PMCPMC10550998
OpenAlexW4387345432

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.