The diagnosis and management of monogenic diabetes in children and adolescents
Abstract
Monogenic diabetes results from the inheritance of a mutation or mutations in a single gene. It may be dominantly or recessively inherited or may be a de novo mutation and hence a spontaneous case. In children, almost all monogenic diabetes results from mutations in genes that regulate beta-cell function although diabetes can rarely occur from mutations resulting in very severe insulin resistance (C) 1. The majority of patients with genetically proven monogenic diabetes are initially incorrectly diagnosed as Type 1 or Type 2 diabetes 2 (C). It is important to correctly diagnose monogenic diabetes as it can predict the clinical course of the patient, explain other associated clinical features and most importantly guide the most appropriate treatment. In addition, making a diagnosis will have implications for other family members often correcting the diagnosis and treatment for other diabetic family members as well as allowing appropriate genetic counseling. Clinical presentations in children when a diagnosis of monogenic diabetes should be considered and are discussed below include: Neonatal diabetes and diabetes diagnosed within the first 6 months of life. Familial diabetes with an affected parent Mild (5.5–8.5 mmol/l) fasting hyperglycaemia especially if young or familial Diabetes associated with extra pancreatic features Features in children initially thought to have Type 1 diabetes that should suggest a possible diagnosis of monogenic diabetes are shown below. None of these are absolute and should be considered as together rather than in isolation (C) 3. A diagnosis of diabetes before 6 months (B) (in Type 1: < 1% 4) Family history of diabetes with a parent affected (C) (in Type 1: 2–4% 5) Evidence of endogenous insulin production outside the 'honeymoon' phase (after 3 years of diabetes) with detectable C peptide (> 200 nmol/l) when glucose > 8 mmol/l (E) (in Type 1 DM: 1–5%). When pancreatic islet autoantibodies are absent, especially if measured at diagnosis (C) (in Type 1: 3–30% 6-8). The great variation in antibody prevalence in series probably represents differences in assays and means it is hard to apply published series directly into clinical practice. Absent antibodies should lead to other investigation/consideration rather than leading directly to genetic tests (E). Features in children initially thought to have Type 2 diabetes that should suggest a possible diagnosis of monogenic diabetes are shown below. Note most Type 2 diabetes in youth will meet former classification for MODY (diagnosed < 25, autosomal dominant inheritance and non-insulin dependent (C) 9-12). Not markedly obese or diabetic family members who are normal weight (in Type 2: 20% 12) Acanthosis nigricans not detected (in Type 2: 10% 9) Ethnic background has a low prevalence of Type 2 diabetes race e.g. European Caucasian (in Type 2: 0–45%) No evidence of insulin resistance with fasting C peptide within the normal range (in Type 2: 0-20% 9-12) As well as having clinical features that are unusual for Type 1 and Type 2 diabetes a patient in whom a diagnosis of monogenic diabetes should also have the features of a specific genetic subtype of monogenic diabetes (E). The features of the commoner monogenic diabetes are given below. While in Type 1 and Type 2 diabetes there is no single diagnostic test, this is not the case in monogenic diabetes where in > 80% of cases a molecular genetic diagnosis can be made by DNA testing (C). Molecular genetic testing is offered in most European countries and the USA but many labs will test patients from other countries (for example www.diabetesgenes.org and www.mody.no). These tests are expensive (up to €500/$600) but can have a big impact on management of the proband and other family members who will be cheaper as the mutation is known (€100/$120). Some recently described monogenic diabetes genes like Kir6.2 testing in patients diagnosed less than 6 months may be available as research tests for no charge (see www.diabetesgenes.org). Approval from the patient's insurance company should be sought prior to sending DNA when applicable. Given the limited resources available it is vital that these tests are used in situations where they are likely to be positive and will alter clinical care. This will involve careful clinical selection and performing physiological tests like C peptide and autoantibody measurement as well as testing other family members before doing molecular genetic tests (E). There is good evidence that diabetes diagnosed in the first 6 months is not Type 1 diabetes as autoantibodies are rare and HLA genotyping is actually protective for Type 1 in these patients (B) 4. Neonatal diabetes is another area which has rapidly moved from a clinical to a molecular genetic classification 13, 14. Neonatal diabetes is insulin requiring diabetes which is usually diagnosed in the first three months of life. Clinically two subgroups were recognised: transient neonatal diabetes mellitus (TNDM) that r
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A subset of individuals within type 1B diabetes have monogenic forms of diabetes, such as maturity onset diabetes of the young (MODY).
“A subset of individuals within this latter group have monogenic forms of diabetes, such as maturity onset diabetes of the young (MODY).43”
From Type 1 diabetes (2014) · cites this paper as [43]
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2. Classification and Diagnosis of Diabetes: <i>Standards of Medical Care in Diabetes—2022</i>
American Diabetes Association Professional Practice Committee (2022) · Diabetes Care · doi:10.2337/dc22-s002 · Cited by 4,792 · see citing works
Standards of medical care in diabetes—2014
American Diabetes Association (2014) · Diabetes Care · doi:10.2337/dc14-s014 · Cited by 4,572 · see citing works
Standards of medical care in diabetes—2013
American Diabetes Association (2013) · Diabetes Care · doi:10.2337/dc13-s011 · Cited by 4,369 · see citing works
2. Classification and Diagnosis of Diabetes: <i>Standards of Medical Care in Diabetes—2020</i>
American Diabetes Association (2020) · Diabetes Care · doi:10.2337/dc20-s002 · Cited by 3,187 · see citing works
2. Classification and Diagnosis of Diabetes: <i>Standards of Medical Care in Diabetes—2021</i>
American Diabetes Association (2021) · Diabetes Care · doi:10.2337/dc21-s002 · Cited by 3,116 · see citing works
2. Classification and Diagnosis of Diabetes: <i>Standards of Medical Care in Diabetes—2018</i>
American Diabetes Association (2018) · Diabetes Care · doi:10.2337/dc18-s002 · Cited by 3,159 · see citing works
Standards of medical care in diabetes—2011
American Diabetes Association (2011) · Diabetes Care · doi:10.2337/dc11-s011 · Cited by 2,880 · see citing works
Atkinson, M. A., Eisenbarth, G. S., & Michels, A. W. (2014) · The Lancet · doi:10.1016/s0140-6736(13)60591-7 · Cited by 2,713 · see citing works
2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2019
(2018) · Diabetes Care · doi:10.2337/dc19-s002 · Cited by 2,738 · see citing works
2. Classification and Diagnosis of Diabetes: Standards of Care in Diabetes—2023
ElSayed, N. A., Aleppo, G., Aroda, V. R., Bannuru, R. R., Brown, F. M., Bruemmer, D., Collins, B. S., Gaglia, J. L., Hilliard, M. E., Isaacs, D. M., et al. (2022) · Diabetes Care · doi:10.2337/dc23-s002 · Cited by 2,652 · see citing works
2. Diagnosis and Classification of Diabetes: <i>Standards of Care in Diabetes—2024</i>
American Diabetes Association Professional Practice Committee, ElSayed, N. A., Aleppo, G., Bannuru, R. R., Bruemmer, D., Collins, B. S., Ekhlaspour, L., Gaglia, J. L., Hilliard, M. E., Johnson, E. L., et al. (2024) · Diabetes Care · doi:10.2337/dc24-s002 · Cited by 2,086 · see citing works
(2) Classification and diagnosis of diabetes
American Diabetes Association (2015) · Diabetes Care · doi:10.2337/dc15-s005 · Cited by 1,841 · see citing works
2. Classification and Diagnosis of Diabetes
American Diabetes Association (2017) · Diabetes Care · doi:10.2337/dc17-s005 · Cited by 1,603 · see citing works
2. Classification and Diagnosis of Diabetes
American Diabetes Association (2015) · Diabetes Care · doi:10.2337/dc16-s005 · Cited by 1,087 · see citing works
Standards of Medical Care in Diabetes—2012
(2012) · Diabetes Care · doi:10.2337/dc12-s011 · Cited by 2,240 · see citing works
Patterson, C. C., Guariguata, L., Dahlquist, G. G., Soltész, G., Ogle, G. D., & Silink, M. (2013) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2013.11.005 · Cited by 398 · see citing works
Jennings, R. E., Berry, A. A., Strutt, J., Gerrard, D. T., & Hanley, N. (2015) · Development · doi:10.1242/dev.120063 · Cited by 301 · see citing works
Fajans, S. S., & Bell, G. I. (2011) · Diabetes Care · doi:10.2337/dc11-0035 · Cited by 323 · see citing works
Barzaghi, F., Passerini, L., & Bacchetta, R. (2012) · Frontiers in Immunology · doi:10.3389/fimmu.2012.00211 · Cited by 323 · see citing works
Evaluating Causality of Gut Microbiota in Obesity and Diabetes in Humans
Meijnikman, A. S., Gerdes, V. E. A., Nieuwdorp, M., & Herrema, H. (2017) · Endocrine Reviews · doi:10.1210/er.2017-00192 · Cited by 280 · see citing works
Maturity-onset diabetes of the young (MODY): an update
Anık, A., Çatlı, G., Abacı, A., & Böber, E. (2015) · Journal of Pediatric Endocrinology and Metabolism · doi:10.1515/jpem-2014-0384 · Cited by 198 · see citing works
Diagnosis and management of maturity onset diabetes of the young (MODY)
Thanabalasingham, G., & Owen, K. R. (2011) · BMJ · doi:10.1136/bmj.d6044 · Cited by 200 · see citing works
The Role of Zinc and Copper in Insulin Resistance and Diabetes Mellitus
Bjørklund, G., Dadar, M., Pivina, L. M., Doşa, M. D., Semenova, Y. M., & Aaseth, J. (2019) · Current Medicinal Chemistry · doi:10.2174/0929867326666190902122155 · Cited by 177 · see citing works
Diagnosis and treatment of type 1 diabetes at the dawn of the personalized medicine era
Akil, A. A., Yassin, E., Al-Maraghi, A., ALIYEV, E. E., Al-Malki, K., & Fakhro, K. A. (2021) · Journal of Translational Medicine · doi:10.1186/s12967-021-02778-6 · Cited by 184 · see citing works
Approach to the patient with mody-monogenic diabetes
Broome, D. T., Pantalone, K. M., Kashyap, S. R., & Philipson, L. H. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa710 · Cited by 159 · see citing works
Clinical features and treatment of maturity onset diabetes of the young (MODY)
Gardner, D. S.-L., & Tai, E. S. (2012) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s23353 · Cited by 143 · see citing works
Common and rare forms of diabetes mellitus: towards a continuum of diabetes subtypes
Flannick, J. A., Johansson, S., & Njølstad, P. R. (2016) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2016.50 · Cited by 141 · see citing works
Genetic and Epigenetic Factors in Etiology of Diabetes Mellitus Type 1
Stankov, K., Benc, D., & Drašković, D. (2013) · PEDIATRICS · doi:10.1542/peds.2013-1652 · Cited by 135 · see citing works
Undiagnosed MODY: Time for Action
Kleinberger, J. W., & Pollin, T. I. (2015) · Current Diabetes Reports · doi:10.1007/s11892-015-0681-7 · Cited by 128 · see citing works
LipidSeq: a next-generation clinical resequencing panel for monogenic dyslipidemias
Johansen, C. T., Dubé, J. B., Loyzer, M. N., MacDonald, A., Carter, D. E., McIntyre, A. D., Cao, H., Wang, J., Robinson, J. F., & Hegele, R. A. (2014) · Journal of Lipid Research · doi:10.1194/jlr.d045963 · Cited by 125 · see citing works
The spectrum of clinical presentation, diagnosis, and management of mitochondrial forms of diabetes
Karaa, A., & Goldstein, A. C. (2014) · Pediatric Diabetes · doi:10.1111/pedi.12223 · Cited by 120 · see citing works
De novo mutations of GCK, HNF1A and HNF4A may be more frequent in MODY than previously assumed
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Exome Sequencing and Genetic Testing for MODY
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Maturity-Onset Diabetes of the Young: What Do Clinicians Need to Know?
Kim, S. (2015) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2015.39.6.468 · Cited by 110 · see citing works
Personalized medicine in diabetes mellitus: current opportunities and future prospects
Kleinberger, J. W., & Pollin, T. I. (2015) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12757 · Cited by 104 · see citing works
Bacon, S., Kyithar, M. P., Rizvi, S. R., Donnelly, E., McCarthy, A., Burke, M., Colclough, K., Ellard, S., & Byrne, M. M. (2015) · Diabetic Medicine · doi:10.1111/dme.12992 · Cited by 94 · see citing works
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Neonatal diabetes mellitus: A model for personalized medicine
Greeley, S. A. W., Tucker, S. E., Naylor, R. N., Bell, G. I., & Philipson, L. H. (2010) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2010.03.004 · Cited by 82 · see citing works
β-Cell failure in type 2 diabetes
Leibowitz, G., Kaiser, N., & Cerasi, E. (2011) · Journal of Diabetes Investigation · doi:10.1111/j.2040-1124.2010.00094.x · Cited by 78 · see citing works
Epigenetic modification and therapeutic targets of diabetes mellitus
Singh, R., Chandel, S., Dey, D., Ghosh, A., Roy, S., Ravichandiran, V., & Ghosh, D. (2020) · Bioscience Reports · doi:10.1042/bsr20202160 · Cited by 81 · see citing works
KATP channel mutations in infants with permanent diabetes diagnosed after 6 months of life
Rubio‐Cabezas, O., Flanagan, S. E., Damhuis, A., Hattersley, A. T., & Ellard, S. (2011) · Pediatric Diabetes · doi:10.1111/j.1399-5448.2011.00824.x · Cited by 76 · see citing works
Maturity-Onset Diabetes of the Young (MODY): Making the Right Diagnosis to Optimize Treatment
Amed, S., & Oram, R. A. (2016) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2016.03.002 · Cited by 74 · see citing works
Type 2 diabetes in younger adults: the emerging UK epidemic
Wilmot, E. G., Davies, M. J., Yates, T. E., Benhalima, K., Lawrence, I. G., & Khunti, K. K. (2010) · Postgraduate Medical Journal · doi:10.1136/pgmj.2010.100917 · Cited by 72 · see citing works
Impaired Cleavage of Preproinsulin Signal Peptide Linked to Autosomal-Dominant Diabetes
Liu, M., Lara-Lemus, R., Shan, S.-O., Wright, J., Haataja, L., Barbetti, F., Guo, H., Larkin, D., & Arvan, P. (2012) · Diabetes · doi:10.2337/db11-0878 · Cited by 70 · see citing works
Role of molecular genetics in transforming diagnosis of diabetes mellitus
Molven, A., & Njølstad, P. R. (2011) · Expert Review of Molecular Diagnostics · doi:10.1586/erm.10.123 · Cited by 67 · see citing works
Classification of diabetes mellitus and other categories of glucose intolerance
Magliano, D. J., Zimmet, P., & Shaw, J. E. (2015) · Wiley eBooks · doi:10.1002/9781118387658.ch1 · Cited by 66 · see citing works
N-glycans as functional effectors of genetic and epigenetic disease risk
Štambuk, T., Klasić, M., Zoldoš, V., & Lauc, G. (2020) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2020.100891 · Cited by 63 · see citing works
The lessons of early-onset monogenic diabetes for the understanding of diabetes pathogenesis
Vaxillaire, M., Bonnefond, A., & Froguel, P. (2012) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1016/j.beem.2011.12.001 · Cited by 61 · see citing works
Characteristics of maturity onset diabetes of the young in a large diabetes center
Chambers, C., Fouts, A., Dong, F., Colclough, K., Wang, Z., Batish, S. D., Jaremko, M., Ellard, S., Hattersley, A. T., KLINGENSMITH, G. J., et al. (2015) · Pediatric Diabetes · doi:10.1111/pedi.12289 · Cited by 60 · see citing works
Steck, A. K., & Winter, W. E. (2011) · Current Opinion in Endocrinology Diabetes and Obesity · doi:10.1097/med.0b013e3283488275 · Cited by 59 · see citing works
Introduction to ISPAD Clinical Practice Consensus Guidelines 2014 Compendium
Acerini, C. L., Craig, M. E., de Beaufort, C. E., Maahs, D. M., & Hanås, R. (2014) · Pediatric Diabetes · doi:10.1111/pedi.12182 · Cited by 59 · see citing works
Doss, C. G. P., Chakraborty, C., Haneef, S. S., Nagasundaram, N., Chen, L., & Zhu, H. (2014) · Theranostics · doi:10.7150/thno.7473 · Cited by 58 · see citing works
Ovsyannikova, A. K., Rymar, O. D., Шахтшнейдер, Е. В., Klimontov, V. V., Koroleva, E. A., Мякина, Н. Е., & Voevoda, M. I. (2016) · Diabetes Therapy · doi:10.1007/s13300-016-0192-9 · Cited by 58 · see citing works
Meglitinide Analogues in Adolescent Patients With HNF1A-MODY (MODY 3)
Becker, M., Galler, A., & Raile, K. (2014) · PEDIATRICS · doi:10.1542/peds.2012-2537 · Cited by 51 · see citing works
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Treatment of young patients with HNF1A mutations (HNF1A–MODY)
Raile, K., Schober, E., Konrad, K., Thon, A., Grulich‐Henn, J., Meissner, T., Woelfle, J., Scheuing, N., Holl, R. W., & the DPV Initiative the German BMBF Competence Network Diabetes Mellitus (2014) · Diabetic Medicine · doi:10.1111/dme.12662 · Cited by 48 · see citing works
Pharmacogenetics of Oral Antidiabetic Drugs
Becker, M. L., Pearson, E. R., & Tkáč, I. (2013) · International Journal of Endocrinology · doi:10.1155/2013/686315 · Cited by 47 · see citing works
Clinical implications of the glucokinase impaired function – GCK MODY today
Hulín, J., Škopková, M., Valkovicova, T., Mikulajová, S., Rosoľanková, M., Papcun, P., Gašperíková, D., & Staník, J. (2020) · Physiological Research · doi:10.33549/physiolres.934487 · Cited by 47 · see citing works
Maturity Onset Diabetes of the Young—New Approaches for Disease Modelling
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Challenges in diagnosis and management of diabetes in the young
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The role of pancreatic imaging in monogenic diabetes mellitus
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Not quite type 1 or type 2, what now? Review of monogenic, mitochondrial, and syndromic diabetes
Yeung, R. O., Hannah‐Shmouni, F., Niederhoffer, K. Y., & Walker, M. A. (2018) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-018-9446-3 · Cited by 38 · see citing works
Modeling different types of diabetes using human pluripotent stem cells
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WITHDRAWN: Reprint of: Classification of diabetes mellitus
Adler, A., Bennett, P., Chair, S. C., Gregg, E., Venkat Narayan, K. M., Schmidt, M. I., Sobngwi, E., Tajima, N., Tandon, N., Unwin, N., et al. (2021) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2021.108972 · Cited by 38 · see citing works
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Two Cases of Diabetic Ketoacidosis in HNF1A-MODY Linked to Severe Dehydration
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Clinical, Genetic, and Biochemical Characteristics of Early-Onset Diabetes in the Finnish Population
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Challenges in the diagnosis of diabetes type in pediatrics
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Ion Transporters, Channelopathies, and Glucose Disorders
Demirbilek, H., Galcheva, S., Vurallı, D., Al‐Khawaga, S., & Hussain, K. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20102590 · Cited by 32 · see citing works
Practical Aspects of Monogenic Diabetes: A Clinical Point of View
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Monogenic Diabetes: A Diagnostic Algorithm for Clinicians
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Clinical utility gene card for: Transient Neonatal Diabetes Mellitus, 6q24-related
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Neonatal diabetes: A case series
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- Authors
- Hattersley, A., Bruining, J., Shield, J., Njolstad, P., & Donaghue, K. C.
- Affiliations
- University of Exeter (GB)
- Erasmus MC - Sophia Children’s Hospital (NL)
- The University of Sydney (AU)
- Corresponding author
- Hattersley, Andrew
- Venue
- Pediatric Diabetes
- Publisher
- Wiley
- Published
- 2009-09
- Volume
- 10
- Pages
- 33-42
- ISSN
- 1399-543X (ISSN-L)
- 1399-5448
- OpenAlex
- W2113745162
- Cited by
- 255
- References
- 167
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 7 · 2023: 6 · 2022: 10 · 2021: 25 · 2020: 18 · 2019: 10 · 2018: 9 · 2017: 21 · 2016: 26 · 2015: 28 · 2014: 20 · 2013: 20 · 2012: 19
- FWCI
- 1.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pediatric Diabetes (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- monogenic diabetes, children and adolescents, neonatal diabetes, maturity-onset diabetes of the young, KCNJ11, HNF1A, HNF4α, KCNN4, KCNQ1, KCNQ2, KCNQ3, KCNQ5, KCNN3
- MeSH terms
- Adolescent, Child, Diabetes Mellitus, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Ethnicity, Family, Genes, Dominant, Genes, Recessive, Humans, Medical History Taking, Mutation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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