Genetic testing for misclassified monogenic diabetes in Māori and Pacific peoples in Aōtearoa New Zealand with early-onset type 2 diabetes.

Aotearoa (New Zealand) Polynesian maternally inherited diabetes and deafness (MIDD) maturity-onset diabetes of the young (MODY) molecular diagnosis monogenic diabetes precision medicine type 2 diabetes

Journal

Frontiers in endocrinology
ISSN: 1664-2392
Titre abrégé: Front Endocrinol (Lausanne)
Pays: Switzerland
ID NLM: 101555782

Informations de publication

Date de publication:
2023
Historique:
received: 27 02 2023
accepted: 20 04 2023
medline: 29 5 2023
pubmed: 26 5 2023
entrez: 26 5 2023
Statut: epublish

Résumé

Monogenic diabetes accounts for 1-2% of diabetes cases yet is often misdiagnosed as type 2 diabetes. The aim of this study was to examine in Māori and Pacific adults clinically diagnosed with type 2 diabetes within 40 years of age, (a) the prevalence of monogenic diabetes in this population (b) the prevalence of beta-cell autoantibodies and (c) the pre-test probability of monogenic diabetes. Targeted sequencing data of 38 known monogenic diabetes genes was analyzed in 199 Māori and Pacific peoples with BMI of 37.9 ± 8.6 kg/m No genetic variants curated as likely pathogenic or pathogenic were found. One individual (1/199) tested positive for GAD/IA-2/ZnT8 antibodies. The pre-test probability of monogenic diabetes was calculated in 55 individuals with 17/55 (31%) scoring above the 20% threshold considered for diagnostic testing referral. Our findings suggest that monogenic diabetes is rare in Māori and Pacific people with clinical age, and the MODY probability calculator likely overestimates the likelihood of a monogenic cause for diabetes in this population.

Identifiants

pubmed: 37234800
doi: 10.3389/fendo.2023.1174699
pmc: PMC10206310
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1174699

Informations de copyright

Copyright © 2023 Toomata, Leask, Krishnan, Cadzow, Dalbeth, Stamp, de Zoysa, Merriman, Wilcox, Dewes and Murphy.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Zanetta Toomata (Z)

Department of Medicine, Waipapa Taumata Rau, The University of Auckland, Auckland, New Zealand.
Maurice Wilkins Centre for Molecular Biodiscovery, Auckland, New Zealand.

Megan Leask (M)

Department of Biochemistry, University of Otago, Dunedin, New Zealand.
Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL, United States.

Mohanraj Krishnan (M)

Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pittsburgh, PA, United States.

Murray Cadzow (M)

Department of Biochemistry, University of Otago, Dunedin, New Zealand.

Nicola Dalbeth (N)

Department of Medicine, Waipapa Taumata Rau, The University of Auckland, Auckland, New Zealand.

Lisa K Stamp (LK)

Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand.

Janak de Zoysa (J)

Department of Medicine, Waipapa Taumata Rau, The University of Auckland, Auckland, New Zealand.

Tony Merriman (T)

Department of Biochemistry, University of Otago, Dunedin, New Zealand.
Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL, United States.

Phillip Wilcox (P)

Maurice Wilkins Centre for Molecular Biodiscovery, Auckland, New Zealand.
Department of Mathematics and Statistics, University of Otago, Dunedin, New Zealand.

Ofa Dewes (O)

Maurice Wilkins Centre for Molecular Biodiscovery, Auckland, New Zealand.
Langimalie Research Centre, Auckland, New Zealand.
Centre of Methods and Policy Application in the Social Sciences, The University of Auckland, Auckland, New Zealand.

Rinki Murphy (R)

Department of Medicine, Waipapa Taumata Rau, The University of Auckland, Auckland, New Zealand.
Maurice Wilkins Centre for Molecular Biodiscovery, Auckland, New Zealand.

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Classifications MeSH