1
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Schroeder P, Mandla R, Huerta-Chagoya A, Alkanak A, Nagy D, Szczerbinski L, Madsen JGS, Cole JB, Porneala B, Westerman K, Li JH, Pollin TI, Florez JC, Gloyn AL, Cebola I, Manning A, Leong A, Udler M, Mercader JM. Rare variant association analysis in 51,256 type 2 diabetes cases and 370,487 controls informs the spectrum of pathogenicity of monogenic diabetes genes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.28.23296244. [PMID: 37808701 PMCID: PMC10557807 DOI: 10.1101/2023.09.28.23296244] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
We meta-analyzed array data imputed with the TOPMed reference panel and whole-genome sequence (WGS) datasets and performed the largest, rare variant (minor allele frequency as low as 5×10-5) GWAS meta-analysis of type 2 diabetes (T2D) comprising 51,256 cases and 370,487 controls. We identified 52 novel variants at genome-wide significance (p<5 × 10-8), including 8 novel variants that were either rare or ancestry-specific. Among them, we identified a rare missense variant in HNF4A p.Arg114Trp (OR=8.2, 95% confidence interval [CI]=4.6-14.0, p = 1.08×10-13), previously reported as a variant implicated in Maturity Onset Diabetes of the Young (MODY) with incomplete penetrance. We demonstrated that the diabetes risk in carriers of this variant was modulated by a T2D common variant polygenic risk score (cvPRS) (carriers in the top PRS tertile [OR=18.3, 95%CI=7.2-46.9, p=1.2×10-9] vs carriers in the bottom PRS tertile [OR=2.6, 95% CI=0.97-7.09, p = 0.06]. Association results identified eight variants of intermediate penetrance (OR>5) in monogenic diabetes (MD), which in aggregate as a rare variant PRS were associated with T2D in an independent WGS dataset (OR=4.7, 95% CI=1.86-11.77], p = 0.001). Our data also provided support evidence for 21% of the variants reported in ClinVar in these MD genes as benign based on lack of association with T2D. Our work provides a framework for using rare variant imputation and WGS analyses in large-scale population-based association studies to identify large-effect rare variants and provide evidence for informing variant pathogenicity.
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Affiliation(s)
- Philip Schroeder
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Ravi Mandla
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine and Cardiovascular Research Institute, Cardiology Division, University of California, San Francisco, CA, USA
| | - Alicia Huerta-Chagoya
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Ahmed Alkanak
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Dorka Nagy
- Section of Genetics and Genomics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- National Heart and Lung Institute, Faculty of Medicine, London, UK
| | - Lukasz Szczerbinski
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Bialystok, 15-276, Poland
- Clinical Research Centre, Medical University of Bialystok, Bialystok, 15-276, Poland
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Jesper G S Madsen
- Institute of Mathematics and Computer Science, University of Southern Denmark, Odense M, 5230, Denmark
- The Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joanne B Cole
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of Endocrinology, Boston Children's Hospital, Boston, MA, USA
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, 80045, USA
| | - Bianca Porneala
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Kenneth Westerman
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Josephine H Li
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Toni I Pollin
- Emory University, Atlanta, Georgia, USA., Atlanta, GA, USA
| | - Jose C Florez
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Anna L Gloyn
- Department of Pediatrics, Division of Endocrinology, Stanford School of Medicine, Stanford, CA, USA
| | - Inês Cebola
- Section of Genetics and Genomics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Alisa Manning
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Aaron Leong
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Miriam Udler
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Josep M Mercader
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
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2
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Abstract
The historical subclassification of diabetes into predominantly types 1 and 2 is well appreciated to inadequately capture the heterogeneity seen in patient presentations, disease course, response to therapy and disease complications. This review summarises proposed data-driven approaches to further refine diabetes subtypes using clinical phenotypes and/or genetic information. We highlight the benefits as well as the limitations of these subclassification schemas, including practical barriers to their implementation that would need to be overcome before incorporation into clinical practice.
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Affiliation(s)
- Aaron J Deutsch
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical & Population Genetics, Broad Institute, Boston, MA, USA
- Program in Metabolism, Broad Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Emma Ahlqvist
- Genomics, Diabetes and Endocrinology, Department of Clinical Sciences in Malmö, Lund University Diabetes Centre, Lund University, Malmö, Sweden.
| | - Miriam S Udler
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Program in Medical & Population Genetics, Broad Institute, Boston, MA, USA.
- Program in Metabolism, Broad Institute, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
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3
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Bonnefond A, Semple RK. Achievements, prospects and challenges in precision care for monogenic insulin-deficient and insulin-resistant diabetes. Diabetologia 2022; 65:1782-1795. [PMID: 35618782 PMCID: PMC9522735 DOI: 10.1007/s00125-022-05720-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 02/01/2022] [Indexed: 01/19/2023]
Abstract
Integration of genomic and other data has begun to stratify type 2 diabetes in prognostically meaningful ways, but this has yet to impact on mainstream diabetes practice. The subgroup of diabetes caused by single gene defects thus provides the best example to date of the vision of 'precision diabetes'. Monogenic diabetes may be divided into primary pancreatic beta cell failure, and primary insulin resistance. In both groups, clear examples of genotype-selective responses to therapy have been advanced. The benign trajectory of diabetes due to pathogenic GCK mutations, and the sulfonylurea-hyperresponsiveness conferred by activating KCNJ11 or ABCC8 mutations, or loss-of-function HNF1A or HNF4A mutations, often decisively guide clinical management. In monogenic insulin-resistant diabetes, subcutaneous leptin therapy is beneficial in some severe lipodystrophy. Increasing evidence also supports use of 'obesity therapies' in lipodystrophic people even without obesity. In beta cell diabetes the main challenge is now implementation of the precision diabetes vision at scale. In monogenic insulin-resistant diabetes genotype-specific benefits are proven in far fewer patients to date, although further genotype-targeted therapies are being evaluated. The conceptual paradigm established by the insulin-resistant subgroup with 'adipose failure' may have a wider influence on precision therapy for common type 2 diabetes, however. For all forms of monogenic diabetes, population-wide genome sequencing is currently forcing reappraisal of the importance assigned to pathogenic mutations when gene sequencing is uncoupled from prior suspicion of monogenic diabetes.
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Affiliation(s)
- Amélie Bonnefond
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
- Université de Lille, Lille, France.
- Department of Metabolism, Imperial College London, London, UK.
| | - Robert K Semple
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
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Ng YS, Lim AZ, Panagiotou G, Turnbull DM, Walker M. Endocrine Manifestations and New Developments in Mitochondrial Disease. Endocr Rev 2022; 43:583-609. [PMID: 35552684 PMCID: PMC9113134 DOI: 10.1210/endrev/bnab036] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Indexed: 11/19/2022]
Abstract
Mitochondrial diseases are a group of common inherited diseases causing disruption of oxidative phosphorylation. Some patients with mitochondrial disease have endocrine manifestations, with diabetes mellitus being predominant but also include hypogonadism, hypoadrenalism, and hypoparathyroidism. There have been major developments in mitochondrial disease over the past decade that have major implications for all patients. The collection of large cohorts of patients has better defined the phenotype of mitochondrial diseases and the majority of patients with endocrine abnormalities have involvement of several other systems. This means that patients with mitochondrial disease and endocrine manifestations need specialist follow-up because some of the other manifestations, such as stroke-like episodes and cardiomyopathy, are potentially life threatening. Also, the development and follow-up of large cohorts of patients means that there are clinical guidelines for the management of patients with mitochondrial disease. There is also considerable research activity to identify novel therapies for the treatment of mitochondrial disease. The revolution in genetics, with the introduction of next-generation sequencing, has made genetic testing more available and establishing a precise genetic diagnosis is important because it will affect the risk for involvement for different organ systems. Establishing a genetic diagnosis is also crucial because important reproductive options have been developed that will prevent the transmission of mitochondrial disease because of mitochondrial DNA variants to the next generation.
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Affiliation(s)
- Yi Shiau Ng
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
- NHS Highly Specialised Service for Rare Mitochondrial Disorders, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Albert Zishen Lim
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
- NHS Highly Specialised Service for Rare Mitochondrial Disorders, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Grigorios Panagiotou
- Department of Diabetes and Endocrinology, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Doug M Turnbull
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
- NHS Highly Specialised Service for Rare Mitochondrial Disorders, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Mark Walker
- Department of Diabetes and Endocrinology, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
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5
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Kettunen JLT, Rantala E, Dwivedi OP, Isomaa B, Sarelin L, Kokko P, Hakaste L, Miettinen PJ, Groop LC, Tuomi T. A multigenerational study on phenotypic consequences of the most common causal variant of HNF1A-MODY. Diabetologia 2022; 65:632-643. [PMID: 34951657 PMCID: PMC8894160 DOI: 10.1007/s00125-021-05631-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 10/04/2021] [Indexed: 12/17/2022]
Abstract
AIMS/HYPOTHESIS Systematic studies on the phenotypic consequences of variants causal of HNF1A-MODY are rare. Our aim was to assess the phenotype of carriers of a single HNF1A variant and genetic and clinical factors affecting the clinical spectrum. METHODS We conducted a family-based multigenerational study by comparing heterozygous carriers of the HNF1A p.(Gly292fs) variant with the non-carrier relatives irrespective of diabetes status. During more than two decades, 145 carriers and 131 non-carriers from 12 families participated in the study, and 208 underwent an OGTT at least once. We assessed the polygenic risk score for type 2 diabetes, age at onset of diabetes and measures of body composition, as well as plasma glucose, serum insulin, proinsulin, C-peptide, glucagon and NEFA response during the OGTT. RESULTS Half of the carriers remained free of diabetes at 23 years, one-third at 33 years and 13% even at 50 years. The median age at diagnosis was 21 years (IQR 17-35). We could not identify clinical factors affecting the age at conversion; sex, BMI, insulin sensitivity or parental carrier status had no significant effect. However, for 1 SD unit increase of a polygenic risk score for type 2 diabetes, the predicted age at diagnosis decreased by 3.2 years. During the OGTT, the carriers had higher levels of plasma glucose and lower levels of serum insulin and C-peptide than the non-carriers. The carriers were also leaner than the non-carriers (by 5.0 kg, p=0.012, and by 2.1 kg/m2 units of BMI, p=2.2 × 10-4, using the first adult measurements) and, possibly as a result of insulin deficiency, demonstrated higher lipolytic activity (with medians of NEFA at fasting 621 vs 441 μmol/l, p=0.0039; at 120 min during an OGTT 117 vs 64 μmol/l, p=3.1 × 10-5). CONCLUSIONS/INTERPRETATION The most common causal variant of HNF1A-MODY, p.(Gly292fs), presents not only with hyperglycaemia and insulin deficiency, but also with increased lipolysis and markedly lower adult BMI. Serum insulin was more discriminative than C-peptide between carriers and non-carriers. A considerable proportion of carriers develop diabetes after young adulthood. Even among individuals with a monogenic form of diabetes, polygenic risk of diabetes modifies the age at onset of diabetes.
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Affiliation(s)
- Jarno L T Kettunen
- Folkhälsan Research Center, Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Endocrinology, Abdominal Center, Helsinki University Hospital, Helsinki, Finland
- Research Programs Unit, Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland
| | | | - Om P Dwivedi
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Bo Isomaa
- Folkhälsan Research Center, Helsinki, Finland
| | | | - Paula Kokko
- Folkhälsan Research Center, Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Research Programs Unit, Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland
| | - Liisa Hakaste
- Folkhälsan Research Center, Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Endocrinology, Abdominal Center, Helsinki University Hospital, Helsinki, Finland
- Research Programs Unit, Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland
| | - Päivi J Miettinen
- New Children's Hospital, Pediatric Research Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Programs Unit, Molecular Neurology, and Biomedicum Stem Cell Center, University of Helsinki, Helsinki, Finland
| | - Leif C Groop
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Lund University Diabetes Center, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Tiinamaija Tuomi
- Folkhälsan Research Center, Helsinki, Finland.
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
- Department of Endocrinology, Abdominal Center, Helsinki University Hospital, Helsinki, Finland.
- Research Programs Unit, Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland.
- Lund University Diabetes Center, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
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6
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Cujba AM, Alvarez-Fallas ME, Pedraza-Arevalo S, Laddach A, Shepherd MH, Hattersley AT, Watt FM, Sancho R. An HNF1α truncation associated with maturity-onset diabetes of the young impairs pancreatic progenitor differentiation by antagonizing HNF1β function. Cell Rep 2022; 38:110425. [PMID: 35235779 PMCID: PMC8905088 DOI: 10.1016/j.celrep.2022.110425] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 09/23/2021] [Accepted: 02/02/2022] [Indexed: 01/16/2023] Open
Abstract
The HNF1αp291fsinsC truncation is the most common mutation associated with maturity-onset diabetes of the young 3 (MODY3). Although shown to impair HNF1α signaling, the mechanism by which HNF1αp291fsinsC causes MODY3 is not fully understood. Here we use MODY3 patient and CRISPR/Cas9-engineered human induced pluripotent stem cells (hiPSCs) grown as 3D organoids to investigate how HNF1αp291fsinsC affects hiPSC differentiation during pancreatic development. HNF1αp291fsinsC hiPSCs shows reduced pancreatic progenitor and β cell differentiation. Mechanistically, HNF1αp291fsinsC interacts with HNF1β and inhibits its function, and disrupting this interaction partially rescues HNF1β-dependent transcription. HNF1β overexpression in the HNF1αp291fsinsC patient organoid line increases PDX1+ progenitors, while HNF1β overexpression in the HNF1αp291fsinsC patient iPSC line partially rescues β cell differentiation. Our study highlights the capability of pancreas progenitor-derived organoids to model disease in vitro. Additionally, it uncovers an HNF1β-mediated mechanism linked to HNF1α truncation that affects progenitor differentiation and could explain the clinical heterogeneity observed in MODY3 patients. MODY3 patient and CRISPR/Cas9 HNF1αp291fsinsC mutated iPSC lines are generated Mutant iPSCs show deficient pancreatic progenitor and β cell differentiation Mutant truncated HNF1α protein binds wild-type HNF1β protein to hinder its function HNF1β overexpression in MODY3 iPSC line partially rescues β cell differentiation
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Affiliation(s)
- Ana-Maria Cujba
- Centre for Stem Cells and Regenerative Medicine, King's College London, London, UK
| | | | | | | | | | | | - Fiona M Watt
- Centre for Stem Cells and Regenerative Medicine, King's College London, London, UK
| | - Rocio Sancho
- Centre for Stem Cells and Regenerative Medicine, King's College London, London, UK; Department of Internal Medicine III, University Hospital Carl Gustav Carus at the Technische Universität Dresden, Dresden, Germany.
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7
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Cefalu WT, Andersen DK, Arreaza-Rubín G, Pin CL, Sato S, Verchere CB, Woo M, Rosenblum ND. Heterogeneity of Diabetes: β-Cells, Phenotypes, and Precision Medicine: Proceedings of an International Symposium of the Canadian Institutes of Health Research's Institute of Nutrition, Metabolism and Diabetes and the U.S. National Institutes of Health's National Institute of Diabetes and Digestive and Kidney Diseases. Diabetes Care 2022; 45:3-22. [PMID: 34782355 PMCID: PMC8753760 DOI: 10.2337/dci21-0051] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 09/23/2021] [Indexed: 02/03/2023]
Abstract
One hundred years have passed since the discovery of insulin-an achievement that transformed diabetes from a fatal illness into a manageable chronic condition. The decades since that momentous achievement have brought ever more rapid innovation and advancement in diabetes research and clinical care. To celebrate the important work of the past century and help to chart a course for its continuation into the next, the Canadian Institutes of Health Research's Institute of Nutrition, Metabolism and Diabetes and the U.S. National Institutes of Health's National Institute of Diabetes and Digestive and Kidney Diseases recently held a joint international symposium, bringing together a cohort of researchers with diverse interests and backgrounds from both countries and beyond to discuss their collective quest to better understand the heterogeneity of diabetes and thus gain insights to inform new directions in diabetes treatment and prevention. This article summarizes the proceedings of that symposium, which spanned cutting-edge research into various aspects of islet biology, the heterogeneity of diabetic phenotypes, and the current state of and future prospects for precision medicine in diabetes.
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Affiliation(s)
- William T. Cefalu
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Dana K. Andersen
- Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Guillermo Arreaza-Rubín
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Christopher L. Pin
- Departments of Physiology and Pharmacology, Paediatrics, and Oncology, University of Western Ontario, and Genetics and Development Division, Children’s Health Research Institute, Lawson Health Research Institute, London, Ontario, Canada
| | - Sheryl Sato
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - C. Bruce Verchere
- Departments of Surgery and Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- BC Children’s Hospital, Vancouver, British Columbia, Canada
- UBC Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada
| | - Minna Woo
- Departments of Medicine and Immunology, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, University Health Network and Sinai Health System, Toronto, Ontario, Canada
- Toronto General Hospital Research Institute, Toronto, Ontario, Canada
| | - Norman D. Rosenblum
- Canadian Institutes of Health Research Institute of Nutrition, Metabolism and Diabetes, Toronto, Ontario, Canada
- Division of Nephrology, Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
- Program in Stem Cell and Developmental Biology, Research Institute, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
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8
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Cefalu WT, Andersen DK, Arreaza-Rubín G, Pin CL, Sato S, Verchere CB, Woo M, Rosenblum ND. Heterogeneity of Diabetes: β-Cells, Phenotypes, and Precision Medicine: Proceedings of an International Symposium of the Canadian Institutes of Health Research's Institute of Nutrition, Metabolism and Diabetes and the U.S. National Institutes of Health's National Institute of Diabetes and Digestive and Kidney Diseases. Can J Diabetes 2021; 45:697-713. [PMID: 34794897 DOI: 10.1016/j.jcjd.2021.09.126] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 09/23/2021] [Indexed: 10/19/2022]
Abstract
One hundred years have passed since the discovery of insulin-an achievement that transformed diabetes from a fatal illness into a manageable chronic condition. The decades since that momentous achievement have brought ever more rapid innovation and advancement in diabetes research and clinical care. To celebrate the important work of the past century and help to chart a course for its continuation into the next, the Canadian Institutes of Health Research's Institute of Nutrition, Metabolism and Diabetes and the U.S. National Institutes of Health's National Institute of Diabetes and Digestive and Kidney Diseases recently held a joint international symposium, bringing together a cohort of researchers with diverse interests and backgrounds from both countries and beyond to discuss their collective quest to better understand the heterogeneity of diabetes and thus gain insights to inform new directions in diabetes treatment and prevention. This article summarizes the proceedings of that symposium, which spanned cutting-edge research into various aspects of islet biology, the heterogeneity of diabetic phenotypes, and the current state of and future prospects for precision medicine in diabetes.
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Affiliation(s)
- William T Cefalu
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, United States.
| | - Dana K Andersen
- Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, United States
| | - Guillermo Arreaza-Rubín
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, United States
| | - Christopher L Pin
- Departments of Physiology and Pharmacology, Paediatrics, and Oncology, University of Western Ontario, and Genetics and Development Division, Children's Health Research Institute, Lawson Health Research Institute, London, Ontario, Canada
| | - Sheryl Sato
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, United States
| | - C Bruce Verchere
- Departments of Surgery and Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada; BC Children's Hospital, Vancouver, British Columbia, Canada; UBC Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada
| | - Minna Woo
- Departments of Medicine and Immunology, University of Toronto, Toronto, Ontario, Canada; Division of Endocrinology and Metabolism, University Health Network and Sinai Health System, Toronto, Ontario, Canada; Toronto General Hospital Research Institute, Toronto, Ontario, Canada
| | - Norman D Rosenblum
- Canadian Institutes of Health Research's Institute of Nutrition, Metabolism and Diabetes, Toronto, Ontario, Canada; Division of Nephrology, Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada; Program in Stem Cell and Developmental Biology, Research Institute, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
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9
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Cefalu WT, Andersen DK, Arreaza-Rubín G, Pin CL, Sato S, Verchere CB, Woo M, Rosenblum ND. Heterogeneity of Diabetes: β-Cells, Phenotypes, and Precision Medicine: Proceedings of an International Symposium of the Canadian Institutes of Health Research's Institute of Nutrition, Metabolism and Diabetes and the U.S. National Institutes of Health's National Institute of Diabetes and Digestive and Kidney Diseases. Diabetes 2021; 71:db210777. [PMID: 34782351 PMCID: PMC8763877 DOI: 10.2337/db21-0777] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 09/23/2021] [Indexed: 11/13/2022]
Abstract
One hundred years have passed since the discovery of insulin-an achievement that transformed diabetes from a fatal illness into a manageable chronic condition. The decades since that momentous achievement have brought ever more rapid innovation and advancement in diabetes research and clinical care. To celebrate the important work of the past century and help to chart a course for its continuation into the next, the Canadian Institutes of Health Research's Institute of Nutrition, Metabolism and Diabetes and the U.S. National Institutes of Health's National Institute of Diabetes and Digestive and Kidney Diseases recently held a joint international symposium, bringing together a cohort of researchers with diverse interests and backgrounds from both countries and beyond to discuss their collective quest to better understand the heterogeneity of diabetes and thus gain insights to inform new directions in diabetes treatment and prevention. This article summarizes the proceedings of that symposium, which spanned cutting-edge research into various aspects of islet biology, the heterogeneity of diabetic phenotypes, and the current state of and future prospects for precision medicine in diabetes.
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Affiliation(s)
- William T Cefalu
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Dana K Andersen
- Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Guillermo Arreaza-Rubín
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Christopher L Pin
- Departments of Physiology and Pharmacology, Paediatrics, and Oncology, University of Western Ontario, and Genetics and Development Division, Children's Health Research Institute, Lawson Health Research Institute, London, Ontario, Canada
| | - Sheryl Sato
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - C Bruce Verchere
- Departments of Surgery and Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- BC Children's Hospital, Vancouver, British Columbia, Canada
- UBC Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada
| | - Minna Woo
- Departments of Medicine and Immunology, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, University Health Network and Sinai Health System, Toronto, Ontario, Canada
- Toronto General Hospital Research Institute, Toronto, Ontario, Canada
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10
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Zhang H, Colclough K, Gloyn AL, Pollin TI. Monogenic diabetes: a gateway to precision medicine in diabetes. J Clin Invest 2021; 131:142244. [PMID: 33529164 PMCID: PMC7843214 DOI: 10.1172/jci142244] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Monogenic diabetes refers to diabetes mellitus (DM) caused by a mutation in a single gene and accounts for approximately 1%-5% of diabetes. Correct diagnosis is clinically critical for certain types of monogenic diabetes, since the appropriate treatment is determined by the etiology of the disease (e.g., oral sulfonylurea treatment of HNF1A/HNF4A-diabetes vs. insulin injections in type 1 diabetes). However, achieving a correct diagnosis requires genetic testing, and the overlapping of the clinical features of monogenic diabetes with those of type 1 and type 2 diabetes has frequently led to misdiagnosis. Improvements in sequencing technology are increasing opportunities to diagnose monogenic diabetes, but challenges remain. In this Review, we describe the types of monogenic diabetes, including common and uncommon types of maturity-onset diabetes of the young, multiple causes of neonatal DM, and syndromic diabetes such as Wolfram syndrome and lipodystrophy. We also review methods of prioritizing patients undergoing genetic testing, and highlight existing challenges facing sequence data interpretation that can be addressed by forming collaborations of expertise and by pooling cases.
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Affiliation(s)
- Haichen Zhang
- University of Maryland School of Medicine, Department of Medicine, Baltimore, Maryland, USA
| | - Kevin Colclough
- Exeter Genomics Laboratory, Royal Devon and Exeter Hospital, Exeter, United Kingdom
| | - Anna L. Gloyn
- Department of Pediatrics, Division of Endocrinology, and,Stanford Diabetes Research Center, Stanford School of Medicine, Stanford, California, USA
| | - Toni I. Pollin
- University of Maryland School of Medicine, Department of Medicine, Baltimore, Maryland, USA
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Moalla M, Safi W, Babiker Mansour M, Hadj Kacem M, Mahfood M, Abid M, Kammoun T, Hachicha M, Mnif-Feki M, Hadj Kacem F, Hadj Kacem H. Tunisian Maturity-Onset Diabetes of the Young: A Short Review and a New Molecular and Clinical Investigation. Front Endocrinol (Lausanne) 2021; 12:684018. [PMID: 34393998 PMCID: PMC8358796 DOI: 10.3389/fendo.2021.684018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 07/05/2021] [Indexed: 11/18/2022] Open
Abstract
INTRODUCTION/AIMS Maturity-Onset Diabetes of the Young (MODY) is a monogenic non-autoimmune diabetes with 14 different genetic forms. MODY-related mutations are rarely found in the Tunisian population. Here, we explored MODY related genes sequences among seventeen unrelated Tunisian probands qualifying the MODY clinical criteria. MATERIALS AND METHODS The GCK and HNF1A genes were systematically analyzed by direct sequencing in all probands. Then, clinical exome sequencing of 4,813 genes was performed on three unrelated patients. Among them, 130 genes have been reported to be involved in the regulation of glucose metabolism, β-cell development, differentiation and function. All identified variants were analyzed according to their frequencies in the GnomAD database and validated by direct sequencing. RESULTS We identified the previously reported GCK mutation (rs1085307455) in one patient. The clinical features of the MODY2 proband were similar to previous reports. In this study, we revealed rare and novel alterations in GCK (rs780806456) and ABCC8 (rs201499958) genes with uncertain significance. We also found two likely benign alterations in HNF1A (rs1800574) and KLF11 (rs35927125) genes with minor allele frequencies similar to those depicted in public databases. No pathogenic variants have been identified through clinical exome analysis. CONCLUSIONS The most appropriate patients were selected, following a strict clinical screening approach, for genetic testing. However, the known MODY1-13 genes could not explain most of the Tunisian MODY cases, suggesting the involvement of unidentified genes in the majority of Tunisian affected families.
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Affiliation(s)
- Mariam Moalla
- Laboratory of Molecular and Cellular Screening Processes, Center of Biotechnology of Sfax, University of Sfax, Sfax, Tunisia
| | - Wajdi Safi
- Endocrinology Department, Hedi Chaker University Hospital, Sfax, Tunisia
| | - Maab Babiker Mansour
- Department of Applied Biology, College of Sciences, University of Sharjah, Sharjah, United Arab Emirates
| | - Mohamed Hadj Kacem
- Laboratory of Molecular and Cellular Screening Processes, Center of Biotechnology of Sfax, University of Sfax, Sfax, Tunisia
| | - Mona Mahfood
- Department of Applied Biology, College of Sciences, University of Sharjah, Sharjah, United Arab Emirates
| | - Mohamed Abid
- Endocrinology Department, Hedi Chaker University Hospital, Sfax, Tunisia
| | - Thouraya Kammoun
- Pediatric Department, Hedi Chaker University Hospital, Sfax, Tunisia
| | - Mongia Hachicha
- Pediatric Department, Hedi Chaker University Hospital, Sfax, Tunisia
| | - Mouna Mnif-Feki
- Endocrinology Department, Hedi Chaker University Hospital, Sfax, Tunisia
| | - Faten Hadj Kacem
- Endocrinology Department, Hedi Chaker University Hospital, Sfax, Tunisia
| | - Hassen Hadj Kacem
- Department of Applied Biology, College of Sciences, University of Sharjah, Sharjah, United Arab Emirates
- *Correspondence: Hassen Hadj Kacem,
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12
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Burholt V, Winter B, Aartsen M, Constantinou C, Dahlberg L, Feliciano V, De Jong Gierveld J, Van Regenmortel S, Waldegrave C. A critical review and development of a conceptual model of exclusion from social relations for older people. Eur J Ageing 2020; 17:3-19. [PMID: 32158368 PMCID: PMC7040153 DOI: 10.1007/s10433-019-00506-0] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
Abstract
Social exclusion is complex and dynamic, and it leads to the non-realization of social, economic, political or cultural rights or participation within a society. This critical review takes stock of the literature on exclusion of social relations. Social relations are defined as comprising social resources, social connections and social networks. An evidence review group undertook a critical review which integrates, interprets and synthesizes information across studies to develop a conceptual model of exclusion from social relations. The resulting model is a subjective interpretation of the literature and is intended to be the starting point for further evaluations. The conceptual model identifies individual risks for exclusion from social relations (personal attributes, biological and neurological risk, retirement, socio-economic status, exclusion from material resources and migration). It incorporates the evaluation of social relations, and the influence of psychosocial resources and socio-emotional processes, sociocultural, social-structural, environmental and policy contextual influences on exclusion from social relations. It includes distal outcomes of exclusion from social relations, that is, individual well-being, health and functioning, social opportunities and social cohesion. The dynamic relationships between elements of the model are also reported. We conclude that the model provides a subjective interpretation of the data and an excellent starting point for further phases of conceptual development and systematic evaluation(s). Future research needs to consider the use of sophisticated analytical tools and an interdisciplinary approach in order to understand the underlying biological and ecopsychosocial associations that contribute to individual and dynamic differences in the experience of exclusion from social relations.
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Affiliation(s)
- Vanessa Burholt
- Centre for Innovative Ageing, Swansea University, Swansea, Wales UK
| | - Bethan Winter
- Centre for Innovative Ageing, Swansea University, Swansea, Wales UK
| | - Marja Aartsen
- Centre for Welfare and Labour Research, OsloMet Oslo Metropolitan University, Oslo, Norway
| | | | - Lena Dahlberg
- School of Education, Health and Social Studies, Dalarna University, Falun, Sweden
- Aging Research Center, Karolinska Institute, Solna, Sweden
| | - Villar Feliciano
- Department of Development and Educational Psychology, University of Barcelona, Barcelona, Spain
| | - Jenny De Jong Gierveld
- Faculty of Social Science, VU University Amsterdam, Amsterdam, The Netherlands
- Netherlands Interdisciplinary Demographic Institute, The Hague, The Netherlands
| | - Sofie Van Regenmortel
- Faculty of Psychology and Educational Sciences, Vrije Universiteit Brussel, Brussels, Belgium
| | | | - The Working Group on Exclusion from Social Relations, part of the COST-financed Research Network ‘Reducing Old-Age Exclusion: Collaborations in Research and Policy’ (ROSENet)
- Centre for Innovative Ageing, Swansea University, Swansea, Wales UK
- Centre for Welfare and Labour Research, OsloMet Oslo Metropolitan University, Oslo, Norway
- University of Nicosia Medical School, Nicosia, Cyprus
- School of Education, Health and Social Studies, Dalarna University, Falun, Sweden
- Aging Research Center, Karolinska Institute, Solna, Sweden
- Department of Development and Educational Psychology, University of Barcelona, Barcelona, Spain
- Faculty of Social Science, VU University Amsterdam, Amsterdam, The Netherlands
- Netherlands Interdisciplinary Demographic Institute, The Hague, The Netherlands
- Faculty of Psychology and Educational Sciences, Vrije Universiteit Brussel, Brussels, Belgium
- Family Centre Social Policy Research Unit, Lower Hutt, New Zealand
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13
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Peixoto-Barbosa R, Reis AF, Giuffrida FMA. Update on clinical screening of maturity-onset diabetes of the young (MODY). Diabetol Metab Syndr 2020; 12:50. [PMID: 32528556 PMCID: PMC7282127 DOI: 10.1186/s13098-020-00557-9] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 05/29/2020] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Maturity-onset diabetes of the young (MODY) is the most common type of monogenic diabetes, being characterized by beta-cell disfunction, early onset, and autosomal dominant inheritance. Despite the rapid evolution of molecular diagnosis methods, many MODY cases are misdiagnosed as type 1 or type 2 diabetes. High costs of genetic testing and limited knowledge of MODY as a relevant clinical entity are some of the obstacles that hinder correct MODY diagnosis and treatment. We present a broad review of clinical syndromes related to most common MODY subtypes, emphasizing the role of biomarkers that can help improving the accuracy of clinical selection of candidates for molecular diagnosis. MAIN BODY To date, MODY-related mutations have been reported in at least 14 different genes. Mutations in glucokinase (GCK), hepatocyte nuclear factor-1 homeobox A (HNF1A), and hepatocyte nuclear factor-4 homeobox A (HNF4A) are the most common causes of MODY. Accurate etiological diagnosis can be challenging. Many biomarkers such as apolipoprotein-M (ApoM), aminoaciduria, complement components, and glycosuria have been tested, but have not translated into helpful diagnostic tools. High-sensitivity C-reactive protein (hs-CRP) levels are lower in HNF1A-MODY and have been tested in some studies to discriminate HNF1A-MODY from other types of diabetes, although more data are needed. Overall, presence of pancreatic residual function and absence of islet autoimmunity seem the most promising clinical instruments to select patients for further investigation. CONCLUSIONS The selection of diabetic patients for genetic testing is an ongoing challenge. Metabolic profiling, diabetes onset age, pancreatic antibodies, and C-peptide seem to be useful tools to better select patients for genetic testing. Further studies are needed to define cut-off values in different populations.
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Affiliation(s)
- Renata Peixoto-Barbosa
- Disciplina de Endocrinologia, Centro de Diabetes, Universidade Federal de São Paulo (UNIFESP), Rua Estado de Israel, 639–Vila Clementino, São Paulo, SP CEP: 04022-001 Brazil
- Departamento de Ciências da Vida, Universidade do Estado da Bahia (UNEB), Salvador, Brazil
| | - André F. Reis
- Disciplina de Endocrinologia, Centro de Diabetes, Universidade Federal de São Paulo (UNIFESP), Rua Estado de Israel, 639–Vila Clementino, São Paulo, SP CEP: 04022-001 Brazil
| | - Fernando M. A. Giuffrida
- Disciplina de Endocrinologia, Centro de Diabetes, Universidade Federal de São Paulo (UNIFESP), Rua Estado de Israel, 639–Vila Clementino, São Paulo, SP CEP: 04022-001 Brazil
- Departamento de Ciências da Vida, Universidade do Estado da Bahia (UNEB), Salvador, Brazil
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Udler MS, McCarthy MI, Florez JC, Mahajan A. Genetic Risk Scores for Diabetes Diagnosis and Precision Medicine. Endocr Rev 2019; 40:1500-1520. [PMID: 31322649 PMCID: PMC6760294 DOI: 10.1210/er.2019-00088] [Citation(s) in RCA: 155] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 07/08/2019] [Indexed: 12/13/2022]
Abstract
During the last decade, there have been substantial advances in the identification and characterization of DNA sequence variants associated with individual predisposition to type 1 and type 2 diabetes. As well as providing insights into the molecular, cellular, and physiological mechanisms involved in disease pathogenesis, these risk variants, when combined into a polygenic score, capture information on individual patterns of disease predisposition that have the potential to influence clinical management. In this review, we describe the various opportunities that polygenic scores provide: to predict diabetes risk, to support differential diagnosis, and to understand phenotypic and clinical heterogeneity. We also describe the challenges that will need to be overcome if this potential is to be fully realized.
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Affiliation(s)
- Miriam S Udler
- Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Headington, Oxford, United Kingdom
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, United Kingdom
| | - Jose C Florez
- Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
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15
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He F, Shu Y, Wang X, Liu X, Liu G, Chen Z, Wang Z, Li L, Liu R, Zhou H, Xu H, Zhang W, Zhou G. Intensive Glucose Control Reduces the Risk Effect of TRIB3, SMARCD3, and ATF6 Genetic Variation on Diabetic Vascular Complications. Front Pharmacol 2018; 9:1422. [PMID: 30618737 PMCID: PMC6297143 DOI: 10.3389/fphar.2018.01422] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2018] [Accepted: 11/19/2018] [Indexed: 02/05/2023] Open
Abstract
Type 2 diabetes mellitus is a complex disease. Our previous study revealed that TRIB3 genetic variations were strongly associated with diabetic vascular complications, although TRIB3 regulation pathways remain poorly understood. We used two extreme treatment groups from a 2 × 2 factorial randomized controlled trial to identify a positive association, which was further validated in patients receiving cross treatment to test the effect of genetic polymorphisms among the different treatment groups. A gene-centric score (GS)-weighted model including the three associated genetic variations TRIB3 rs2295490, ATF6 rs12086247, and SMARCD3 rs58125572 was used. The results of the GS model indicated a 46% reduction in the risk of primary vascular complications in patients bearing more than two risk alleles [hazard ratio (HR) 0.54, 95% confidence interval (CI) 0.38-0.76, p < 0.001], following intensive glucose control treatment when compared with patients who received standard glucose control treatment. Furthermore, these patients benefited from active blood pressure-lowering treatment (HR 0.39, 95% CI 0.24-0.64, p < 0.001). However, no significant difference was observed between the two interventions in patients with fewer than two risk alleles (HR 1.09, 95% CI 0.86-1.39, p = 0.47). These results indicate that genetic variants in these three genes may be useful biomarkers for individualized drug therapy in diabetic patients.
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Affiliation(s)
- Fazhong He
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Pharmacogenetics, Pharmacogenetics Research Institute – Institute of Clinical Pharmacology, Central South University, Changsha, China
- National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Yan Shu
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, MD, United States
| | - Xingyu Wang
- Beijing Hypertension League Institute, Beijing, China
| | - Xin Liu
- Beijing Hypertension League Institute, Beijing, China
| | - Guojing Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Pharmacogenetics, Pharmacogenetics Research Institute – Institute of Clinical Pharmacology, Central South University, Changsha, China
- National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Zhangren Chen
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Pharmacogenetics, Pharmacogenetics Research Institute – Institute of Clinical Pharmacology, Central South University, Changsha, China
- National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Zhenmin Wang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Pharmacogenetics, Pharmacogenetics Research Institute – Institute of Clinical Pharmacology, Central South University, Changsha, China
- National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Ling Li
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Pharmacogenetics, Pharmacogenetics Research Institute – Institute of Clinical Pharmacology, Central South University, Changsha, China
- National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Rong Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Pharmacogenetics, Pharmacogenetics Research Institute – Institute of Clinical Pharmacology, Central South University, Changsha, China
- National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Honghao Zhou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Pharmacogenetics, Pharmacogenetics Research Institute – Institute of Clinical Pharmacology, Central South University, Changsha, China
- National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Heng Xu
- Department of Laboratory Medicine, Precision Medicine Center, and Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
- Sichuan and Collaborative Innovation Center, Chengdu, China
| | - Wei Zhang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Pharmacogenetics, Pharmacogenetics Research Institute – Institute of Clinical Pharmacology, Central South University, Changsha, China
- National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Gan Zhou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
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16
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Locke JM, Saint-Martin C, Laver TW, Patel KA, Wood AR, Sharp SA, Ellard S, Bellanné-Chantelot C, Hattersley AT, Harries LW, Weedon MN. The Common HNF1A Variant I27L Is a Modifier of Age at Diabetes Diagnosis in Individuals With HNF1A-MODY. Diabetes 2018; 67:1903-1907. [PMID: 29895593 PMCID: PMC6109380 DOI: 10.2337/db18-0133] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 06/05/2018] [Indexed: 01/03/2023]
Abstract
There is wide variation in the age at diagnosis of diabetes in individuals with maturity-onset diabetes of the young (MODY) due to a mutation in the HNF1A gene. We hypothesized that common variants at the HNF1A locus (rs1169288 [I27L], rs1800574 [A98V]), which are associated with type 2 diabetes susceptibility, may modify age at diabetes diagnosis in individuals with HNF1A-MODY. Meta-analysis of two independent cohorts, comprising 781 individuals with HNF1A-MODY, found no significant associations between genotype and age at diagnosis. However after stratifying according to type of mutation (protein-truncating variant [PTV] or missense), we found each 27L allele to be associated with a 1.6-year decrease (95% CI -2.6, -0.7) in age at diagnosis, specifically in the subset (n = 444) of individuals with a PTV. The effect size was similar and significant across the two independent cohorts of individuals with HNF1A-MODY. We report a robust genetic modifier of HNF1A-MODY age at diagnosis that further illustrates the strong effect of genetic variation within HNF1A upon diabetes phenotype.
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Affiliation(s)
- Jonathan M Locke
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter, U.K.
| | - Cécile Saint-Martin
- Department of Genetics, Pitié-Salpétrière Hospital, Assistance Publique-Hôpitaux de Paris, and Pierre et Marie Curie University, Paris, France
| | - Thomas W Laver
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter, U.K
| | - Kashyap A Patel
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter, U.K
| | - Andrew R Wood
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter, U.K
| | - Seth A Sharp
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter, U.K
| | - Sian Ellard
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter, U.K
| | - Christine Bellanné-Chantelot
- Department of Genetics, Pitié-Salpétrière Hospital, Assistance Publique-Hôpitaux de Paris, and Pierre et Marie Curie University, Paris, France
| | - Andrew T Hattersley
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter, U.K
| | - Lorna W Harries
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter, U.K
| | - Michael N Weedon
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter, U.K
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Urbanová J, Brunerová L, Brož J. Hidden MODY-Looking for a Needle in a Haystack. Front Endocrinol (Lausanne) 2018; 9:355. [PMID: 30013516 PMCID: PMC6037194 DOI: 10.3389/fendo.2018.00355] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2018] [Accepted: 06/13/2018] [Indexed: 11/17/2022] Open
Affiliation(s)
- Jana Urbanová
- Second Department of Internal Medicine, Third Faculty of Medicine, Center for Research of Diabetes, Metabolism and Nutrition, University Hospital Královské Vinohrady, Prague, Czechia
| | - Ludmila Brunerová
- Second Department of Internal Medicine, Third Faculty of Medicine, Center for Research of Diabetes, Metabolism and Nutrition, University Hospital Královské Vinohrady, Prague, Czechia
- *Correspondence: Ludmila Brunerová
| | - Jan Brož
- Department of Internal Medicine, Second Faculty of Medicine, Charles University, Prague, Czechia
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Abstract
This article highlights the difficulties in creating a definitive classification of diabetes mellitus in the absence of a complete understanding of the pathogenesis of the major forms. This brief review shows the evolving nature of the classification of diabetes mellitus. No classification scheme is ideal, and all have some overlap and inconsistencies. The only diabetes in which it is possible to accurately diagnose by DNA sequencing, monogenic diabetes, remains undiagnosed in more than 90% of the individuals who have diabetes caused by one of the known gene mutations. The point of classification, or taxonomy, of disease, should be to give insight into both pathogenesis and treatment. It remains a source of frustration that all schemes of diabetes mellitus continue to fall short of this goal.
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Affiliation(s)
- Celeste C Thomas
- Department of Medicine, Section of Endocrinology, Diabetes and Metabolism, The University of Chicago, 5841 South Maryland Avenue, MC 1027, Chicago, IL 60637, USA.
| | - Louis H Philipson
- Department of Medicine, Section of Endocrinology, Diabetes and Metabolism, The University of Chicago, 5841 South Maryland Avenue, MC 1027, Chicago, IL 60637, USA; Department of Pediatrics, Section of Endocrinology, Diabetes and Metabolism, The University of Chicago, 900 East 57th Street, Chicago, IL 60637, USA
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19
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Affiliation(s)
- T M Frayling
- Genetics of Complex Traits, Institute of Biomedical and Clinical Science, Peninsula Medical School, Exeter, UK
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20
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Tatsi C, Kanaka-Gantenbein C, Vazeou-Gerassimidi A, Chrysis D, Delis D, Tentolouris N, Dacou-Voutetakis C, Chrousos GP, Sertedaki A. The spectrum of HNF1A gene mutations in Greek patients with MODY3: relative frequency and identification of seven novel germline mutations. Pediatr Diabetes 2013; 14:526-34. [PMID: 23517481 DOI: 10.1111/pedi.12032] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2012] [Revised: 01/31/2013] [Accepted: 02/06/2013] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVE Maturity-Onset Diabetes of the Young (MODY) is the most common type of monogenic diabetes accounting for 1-2% of the population with diabetes. The relative incidence of HNF1A-MODY (MODY3) is high in European countries; however, data are not available for the Greek population. The aims of this study were to determine the relative frequency of MODY3 in Greece, the type of the mutations observed, and their relation to the phenotype of the patients. DESIGN AND METHODS Three hundred ninety-five patients were referred to our center because of suspected MODY during a period of 15 yr. The use of Denaturing Gradient Gel Electrophoresis of polymerase chain reaction amplified DNA revealed 72 patients carrying Glucokinase gene mutations (MODY2) and 8 patients carrying HNF1A gene mutations (MODY3). After using strict criteria, 54 patients were selected to be further evaluated by direct sequencing or by multiplex ligation probe amplification (MLPA) for the presence of HNF1A gene mutations. RESULTS In 16 unrelated patients and 13 of their relatives, 15 mutations were identified in the HNF1A gene. Eight of these mutations were previously reported, whereas seven were novel. Clinical features, such as age of diabetes at diagnosis or severity of hyperglycemia, were not related to the mutation type or location. CONCLUSIONS In our cohort of patients fulfilling strict clinical criteria for MODY, 12% carried an HNF1A gene mutation, suggesting that defects of this gene are responsible for a significant proportion of monogenic diabetes in the Greek population. No clear phenotype-genotype correlations were identified.
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Affiliation(s)
- Christina Tatsi
- Division of Endocrinology, Diabetes and Metabolism, First Department of Pediatrics, Athens University School of Medicine, 'Agia Sophia' Children's Hospital, Athens, Greece
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Shankar RK, Ellard S, Standiford D, Pihoker C, Gilliam LK, Hattersley A, Dolan LM. Digenic heterozygous HNF1A and HNF4A mutations in two siblings with childhood-onset diabetes. Pediatr Diabetes 2013; 14:535-8. [PMID: 23551881 PMCID: PMC4090307 DOI: 10.1111/pedi.12018] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2012] [Revised: 12/08/2012] [Accepted: 12/19/2012] [Indexed: 11/28/2022] Open
Abstract
Monogenic diabetes due to mutations in the transcription factor genes hepatocyte nuclear factor 1A (HNF1A) and HNF4A is characterized by islet cell antibody negative, familial diabetes with residual insulin secretion. We report two sisters with childhood onset diabetes who are both heterozygous for the most common mutation in each of two transcription factors, HNF1A, and HNF4A. The proband was diagnosed with diabetes at 7 yr of age and treated with insulin for 4 yr. Her genetic diagnosis resulted in transition to sulfonylureas for one and a half years before insulin therapy was re-initiated due to declining glycemic control. Her sister was diagnosed with diabetes at 14 yr of age, treated initially with insulin but has been well controlled on oral sulfonylurea therapy for over 2 yr. Both sisters inherited the HNF4A gene mutation R127W from their mother and the HNF1A gene mutation P291fsinsC (c.872dup) from their father. The father was diagnosed with diabetes at 45 yr of age. Their brother is heterozygous for the HNF4A R127W mutation. Both the brother and mother have normal glucose tolerance at the ages of 16 and 46 yr, respectively. Digenic inheritance of HNF1A and HNF4A mutations is very rare and has only been reported in two families where conclusive evidence for the pathogenicity of their mutations was lacking. Follow-up studies in this family co-segregating the two most commonly reported HNF1A/HNF4A mutations will be informative for understanding the effect of digenic inheritance upon phenotypic severity and response to sulfonylurea therapy.
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Affiliation(s)
| | - Sian Ellard
- Institute of Biomedical and Clinical Science, Peninsula Medical School, University of Exeter, UK
| | - Debra Standiford
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Catherine Pihoker
- Department of Pediatrics, University of Washington, Seattle, Washington
| | - Lisa K. Gilliam
- Department of Medicine, University of Washington, Seattle, Washington
| | - Andrew Hattersley
- Institute of Biomedical and Clinical Science, Peninsula Medical School, University of Exeter, UK
| | - Lawrence M. Dolan
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
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Affiliation(s)
- Valeriya Lyssenko
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University, Malmö, Sweden.
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Colclough K, Bellanne-Chantelot C, Saint-Martin C, Flanagan SE, Ellard S. Mutations in the genes encoding the transcription factors hepatocyte nuclear factor 1 alpha and 4 alpha in maturity-onset diabetes of the young and hyperinsulinemic hypoglycemia. Hum Mutat 2013; 34:669-85. [PMID: 23348805 DOI: 10.1002/humu.22279] [Citation(s) in RCA: 141] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2012] [Accepted: 01/08/2013] [Indexed: 12/16/2022]
Abstract
Maturity-onset diabetes of the young (MODY) is a monogenic disorder characterized by autosomal dominant inheritance of young-onset (typically <25 years), noninsulin-dependent diabetes due to defective insulin secretion. MODY is both clinically and genetically heterogeneous with mutations in at least 10 genes. Mutations in the HNF1A gene encoding hepatocyte nuclear factor-1 alpha are the most common cause of MODY in most adult populations studied. The number of different pathogenic HNF1A mutations totals 414 in 1,247 families. Mutations in the HNF4A gene encoding hepatocyte nuclear factor-4 alpha are a rarer cause of MODY with 103 different mutations reported in 173 families to date. Sensitivity to treatment with sulfonylurea tablets is a feature of both HNF1A and HNF4A mutations. The HNF4A MODY phenotype has been expanded by the reports of macrosomia in ∼50% of babies, and more rarely, neonatal hyperinsulinemic hypoglycemia. The identification of an HNF1A or HNF4A gene mutation has important implications for clinical management in diabetes and pregnancy, but MODY is significantly underdiagnosed. Current research is focused on identifying biomarkers and developing probability models to identify those patients most likely to have MODY, until next generation sequencing technology enables cost-effective gene analysis for all patients with young onset diabetes.
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Affiliation(s)
- Kevin Colclough
- Department of Molecular Genetics, Royal Devon & Exeter NHS Foundation Trust, Exeter, UK
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Iwabuchi A, Kamoda T, Shinohara H, Sumazaki R. Japanese boy with maturity-onset diabetes of the young type 3 who developed diabetes at 19 months old. Pediatr Int 2013; 55:e32-4. [PMID: 23679181 DOI: 10.1111/j.1442-200x.2012.03741.x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2012] [Revised: 08/13/2012] [Accepted: 09/19/2012] [Indexed: 11/30/2022]
Abstract
Maturity-onset diabetes of the young type 3 (MODY3) is caused by hepatocyte nuclear factor 1α gene mutation and is clinically characterized by young onset and insufficient insulin secretion. We report a 19-month-old Japanese boy with a family history of young-onset diabetes who was initially diagnosed with type 1 diabetes. Mutational analysis of the hepatocyte nuclear factor 1α gene revealed a novel heterozygous frameshift mutation (c.593delA p.Lys198fs) resulting in a truncated protein in the patient and his father. The patient was diagnosed as having MODY3 and was successfully treated with insulin glargine. We could not determine the genetic or environmental factors to explain the difference in the age of disease onset within the same family. This is the youngest case of a MODY3 child presenting with overt diabetes. Our experience suggests that clinicians should always consider the possible diagnosis of MODY3 in a diabetic child with a family history of young-onset diabetes and should perform molecular investigations.
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Affiliation(s)
- Atsushi Iwabuchi
- Department of Pediatrics, University of Tsukuba, Ibaraki, Japan.
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Dubé JB, Hegele RA. The application of gene therapy in lipid disorders: where are we now? ACTA ACUST UNITED AC 2012. [DOI: 10.2217/clp.12.42] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Kyithar M, Bacon S, Pannu K, Rizvi S, Colclough K, Ellard S, Byrne M. Identification of HNF1A-MODY and HNF4A-MODY in Irish families: Phenotypic characteristics and therapeutic implications. DIABETES & METABOLISM 2011; 37:512-9. [DOI: 10.1016/j.diabet.2011.04.002] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2010] [Revised: 03/30/2011] [Accepted: 04/09/2011] [Indexed: 12/28/2022]
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Bellanné-Chantelot C, Lévy DJ, Carette C, Saint-Martin C, Riveline JP, Larger E, Valéro R, Gautier JF, Reznik Y, Sola A, Hartemann A, Laboureau-Soares S, Laloi-Michelin M, Lecomte P, Chaillous L, Dubois-Laforgue D, Timsit J. Clinical characteristics and diagnostic criteria of maturity-onset diabetes of the young (MODY) due to molecular anomalies of the HNF1A gene. J Clin Endocrinol Metab 2011; 96:E1346-51. [PMID: 21677039 DOI: 10.1210/jc.2011-0268] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
CONTEXT The diagnosis of maturity-onset diabetes of the young type 3 (MODY3), associated with HNF1A molecular abnormalities, is often missed. OBJECTIVE The objective of the study was to describe the phenotypes of a large series of MODY3 patients and to reassess parameters that may improve its diagnosis. DESIGN, SETTING, AND PATIENTS This retrospective multicenter study included 487 unrelated patients referred because of suspicion of MODY3. Genetic analysis identified 196 MODY3 and 283 non-MODY3 cases. Criteria associated with MODY3 were assessed by multivariate analysis. The capacity of the model to predict MODY3 diagnosis was assessed by the area under the receiver-operating characteristic curve and was further validated in an independent sample of 851 patients (165 MODY3 and 686 non-MODY3). RESULTS In the MODY3 patients, diabetes was revealed by clinical symptoms in 25% of the cases and was diagnosed by screening in the others. Age at diagnosis of diabetes was more than 25 yr in 40% of the MODY3 patients. There was considerable variability and overlap of all assessed parameters in MODY3 and non-MODY3 patients. The best predictive model was based on criteria available at diagnosis of diabetes, including age, body mass index, number of affected generations, presence of diabetes symptoms, and geographical origin. The area under the curve of the receiver-operating characteristic analysis was 0.81. When sensitivity was set to 90%, specificity was 49%. CONCLUSIONS Differential diagnosis between MODY3 and early-onset type 2 diabetes remains difficult. Whether the proposed model will improve the pick-up rate of MODY3 diagnosis needs to be confirmed in independent populations.
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Affiliation(s)
- Christine Bellanné-Chantelot
- Department of Genetics, Assistance Publique-Hôpitaux de Paris, Pitié -Salpétrière Hospital, University Pierre et Marie Curie-Paris 6, 75013 Paris, France.
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Molven A, Njølstad PR. Role of molecular genetics in transforming diagnosis of diabetes mellitus. Expert Rev Mol Diagn 2011; 11:313-20. [PMID: 21463240 DOI: 10.1586/erm.10.123] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Most common diseases also run in families as rare, monogenic forms. Diabetes is no exception. Mutations in approximately 20 different genes are now known to cause monogenic diabetes, a disease group that can be subclassified into maturity-onset diabetes of the young, neonatal diabetes and mitochondrial diabetes. In some families, additional features, such as urogenital malformations, exocrine pancreatic dysfunction and neurological abnormalities, are present and may aid the diagnostic classification. The finding of a mutation in monogenic diabetes may have implications for the prediction of prognosis and choice of treatment. Mutations in the GCK gene cause a mild form of diabetes, which seldom needs insulin and has a low risk for complications. By contrast, HNF1A mutations lead to a diabetes form that in severity, treatment and complication risk resembles Type 1 diabetes, although these patients may experience a good effect of sulfonylurea treatment. The majority of neonatal diabetes cases are caused by mutations in the K(ATP) channel genes ABCC8 and KCNJ11, and sulfonylurea therapy is then usually superior to insulin. Diseases with a considerable genetic component may now be explored by genome-wide approaches using next-generation DNA sequencing technology. We expect that within a few years important breakthroughs will be made in mapping cases of diabetes with a suspected, but still unsolved monogenic basis.
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Affiliation(s)
- Anders Molven
- The Gade Institute, University of Bergen, N-5020 Bergen, Norway
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