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Butnariu LI, Bizim DA, Oltean C, Rusu C, Pânzaru MC, Păduraru G, Gimiga N, Ghiga G, Moisă ȘM, Țarcă E, Starcea IM, Popa S, Trandafir LM. The Importance of Molecular Genetic Testing for Precision Diagnostics, Management, and Genetic Counseling in MODY Patients. Int J Mol Sci 2024; 25:6318. [PMID: 38928025 PMCID: PMC11204182 DOI: 10.3390/ijms25126318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 05/31/2024] [Accepted: 06/05/2024] [Indexed: 06/28/2024] Open
Abstract
Maturity-onset diabetes of the young (MODY) is part of the heterogeneous group of monogenic diabetes (MD) characterized by the non-immune dysfunction of pancreatic β-cells. The diagnosis of MODY still remains a challenge for clinicians, with many cases being misdiagnosed as type 1 or type 2 diabetes mellitus (T1DM/T2DM), and over 80% of cases remaining undiagnosed. With the introduction of modern technologies, important progress has been made in deciphering the molecular mechanisms and heterogeneous etiology of MD, including MODY. The aim of our study was to identify genetic variants associated with MODY in a group of patients with early-onset diabetes/prediabetes in whom a form of MD was clinically suspected. Genetic testing, based on next-generation sequencing (NGS) technology, was carried out either in a targeted manner, using gene panels for monogenic diabetes, or by analyzing the entire exome (whole-exome sequencing). GKC-MODY 2 was the most frequently detected variant, but rare forms of KCNJ11-MODY 13, specifically, HNF4A-MODY 1, were also identified. We have emphasized the importance of genetic testing for early diagnosis, MODY subtype differentiation, and genetic counseling. We presented the genotype-phenotype correlations, especially related to the clinical evolution and personalized therapy, also emphasizing the particularities of each patient in the family context.
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Affiliation(s)
- Lăcrămioara Ionela Butnariu
- Department of Medical Genetics, Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania; (C.R.); (S.P.)
| | - Delia Andreia Bizim
- Department of Diabetes, Saint Mary’s Emergency Children Hospital, 700309 Iasi, Romania; (D.A.B.); (C.O.)
| | - Carmen Oltean
- Department of Diabetes, Saint Mary’s Emergency Children Hospital, 700309 Iasi, Romania; (D.A.B.); (C.O.)
| | - Cristina Rusu
- Department of Medical Genetics, Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania; (C.R.); (S.P.)
| | - Monica Cristina Pânzaru
- Department of Medical Genetics, Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania; (C.R.); (S.P.)
| | - Gabriela Păduraru
- Department of Mother and Child, Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania; (G.P.); (N.G.); (G.G.); (Ș.M.M.); (I.M.S.); (L.M.T.)
| | - Nicoleta Gimiga
- Department of Mother and Child, Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania; (G.P.); (N.G.); (G.G.); (Ș.M.M.); (I.M.S.); (L.M.T.)
| | - Gabriela Ghiga
- Department of Mother and Child, Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania; (G.P.); (N.G.); (G.G.); (Ș.M.M.); (I.M.S.); (L.M.T.)
| | - Ștefana Maria Moisă
- Department of Mother and Child, Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania; (G.P.); (N.G.); (G.G.); (Ș.M.M.); (I.M.S.); (L.M.T.)
| | - Elena Țarcă
- Department of Surgery II—Pediatric Surgery, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania;
| | - Iuliana Magdalena Starcea
- Department of Mother and Child, Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania; (G.P.); (N.G.); (G.G.); (Ș.M.M.); (I.M.S.); (L.M.T.)
| | - Setalia Popa
- Department of Medical Genetics, Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania; (C.R.); (S.P.)
| | - Laura Mihaela Trandafir
- Department of Mother and Child, Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania; (G.P.); (N.G.); (G.G.); (Ș.M.M.); (I.M.S.); (L.M.T.)
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Murphy R, Colclough K, Pollin TI, Ikle JM, Svalastoga P, Maloney KA, Saint-Martin C, Molnes J, Misra S, Aukrust I, de Franco E, Flanagan SE, Njølstad PR, Billings LK, Owen KR, Gloyn AL. The use of precision diagnostics for monogenic diabetes: a systematic review and expert opinion. COMMUNICATIONS MEDICINE 2023; 3:136. [PMID: 37794142 PMCID: PMC10550998 DOI: 10.1038/s43856-023-00369-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 09/21/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND Monogenic diabetes presents opportunities for precision medicine but is underdiagnosed. This review systematically assessed the evidence for (1) clinical criteria and (2) methods for genetic testing for monogenic diabetes, summarized resources for (3) considering a gene or (4) variant as causal for monogenic diabetes, provided expert recommendations for (5) reporting of results; and reviewed (6) next steps after monogenic diabetes diagnosis and (7) challenges in precision medicine field. METHODS Pubmed and Embase databases were searched (1990-2022) using inclusion/exclusion criteria for studies that sequenced one or more monogenic diabetes genes in at least 100 probands (Question 1), evaluated a non-obsolete genetic testing method to diagnose monogenic diabetes (Question 2). The risk of bias was assessed using the revised QUADAS-2 tool. Existing guidelines were summarized for questions 3-5, and review of studies for questions 6-7, supplemented by expert recommendations. Results were summarized in tables and informed recommendations for clinical practice. RESULTS There are 100, 32, 36, and 14 studies included for questions 1, 2, 6, and 7 respectively. On this basis, four recommendations for who to test and five on how to test for monogenic diabetes are provided. Existing guidelines for variant curation and gene-disease validity curation are summarized. Reporting by gene names is recommended as an alternative to the term MODY. Key steps after making a genetic diagnosis and major gaps in our current knowledge are highlighted. CONCLUSIONS We provide a synthesis of current evidence and expert opinion on how to use precision diagnostics to identify individuals with monogenic diabetes.
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Affiliation(s)
- Rinki Murphy
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
- Auckland Diabetes Centre, Te Whatu Ora Health New Zealand, Te Tokai Tumai, Auckland, New Zealand.
| | - Kevin Colclough
- Exeter Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, United Kingdom
| | - Toni I Pollin
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Jennifer M Ikle
- Department of Pediatrics, Division of Endocrinology & Diabetes, Stanford School of Medicine, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford, CA, USA
| | - Pernille Svalastoga
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Kristin A Maloney
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Cécile Saint-Martin
- Department of Medical Genetics, AP-HP Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
| | - Janne Molnes
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Shivani Misra
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Department of Diabetes and Endocrinology, Imperial College Healthcare NHS Trust, London, UK
| | - Ingvild Aukrust
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Elisa de Franco
- Department of Clinical and Biomedical Science, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Sarah E Flanagan
- Department of Clinical and Biomedical Science, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Pål R Njølstad
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Liana K Billings
- Division of Endocrinology, NorthShore University HealthSystem, Skokie, IL, USA
- Department of Medicine, Pritzker School of Medicine, University of Chicago, Chicago, IL, USA
| | - Katharine R Owen
- Oxford Center for Diabetes, Endocrinology & Metabolism, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Anna L Gloyn
- Department of Pediatrics, Division of Endocrinology & Diabetes, Stanford School of Medicine, Stanford, CA, USA.
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford, CA, USA.
- Department of Genetics, Stanford School of Medicine, Stanford, CA, USA.
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Murphy R, Colclough K, Pollin TI, Ikle JM, Svalastoga P, Maloney KA, Saint-Martin C, Molnes J, Misra S, Aukrust I, de Franco A, Flanagan SE, Njølstad PR, Billings LK, Owen KR, Gloyn AL. A Systematic Review of the use of Precision Diagnostics in Monogenic Diabetes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.15.23288269. [PMID: 37131594 PMCID: PMC10153302 DOI: 10.1101/2023.04.15.23288269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Monogenic forms of diabetes present opportunities for precision medicine as identification of the underlying genetic cause has implications for treatment and prognosis. However, genetic testing remains inconsistent across countries and health providers, often resulting in both missed diagnosis and misclassification of diabetes type. One of the barriers to deploying genetic testing is uncertainty over whom to test as the clinical features for monogenic diabetes overlap with those for both type 1 and type 2 diabetes. In this review, we perform a systematic evaluation of the evidence for the clinical and biochemical criteria used to guide selection of individuals with diabetes for genetic testing and review the evidence for the optimal methods for variant detection in genes involved in monogenic diabetes. In parallel we revisit the current clinical guidelines for genetic testing for monogenic diabetes and provide expert opinion on the interpretation and reporting of genetic tests. We provide a series of recommendations for the field informed by our systematic review, synthesizing evidence, and expert opinion. Finally, we identify major challenges for the field and highlight areas for future research and investment to support wider implementation of precision diagnostics for monogenic diabetes.
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Affiliation(s)
- Rinki Murphy
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
- Auckland Diabetes Centre, Te Whatu Ora Health New Zealand, Te Tokai Tumai, Auckland, New Zealand
| | - Kevin Colclough
- Exeter Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, United Kingdom
| | - Toni I Pollin
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Jennifer M Ikle
- Department of Pediatrics, Division of Endocrinology & Diabetes, Stanford School of Medicine, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford, CA, USA
| | - Pernille Svalastoga
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Kristin A Maloney
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Cécile Saint-Martin
- Department of Medical Genetics, AP-HP Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
| | - Janne Molnes
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Shivani Misra
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Department of Diabetes and Endocrinology, Imperial College Healthcare NHS Trust, London, UK
| | - Ingvild Aukrust
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - aiElisa de Franco
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Sarah E Flanagan
- Department of Clinical and Biomedical Science, Faculty of Health and Life Sciences, University of Exeter, UK
| | - Pål R Njølstad
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Liana K Billings
- Division of Endocrinology, NorthShore University HealthSystem, Skokie, IL, USA; Department of Medicine, Pritzker School of Medicine, University of Chicago, Chicago, IL, USA
| | - Katharine R Owen
- Oxford Center for Diabetes, Endocrinology & Metabolism, University of Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Anna L Gloyn
- Department of Pediatrics, Division of Endocrinology & Diabetes, Stanford School of Medicine, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford School of Medicine, Stanford, CA, USA
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Abstract
Monogenic diabetes includes several clinical conditions generally characterized by early-onset diabetes, such as neonatal diabetes, maturity-onset diabetes of the young (MODY) and various diabetes-associated syndromes. However, patients with apparent type 2 diabetes mellitus may actually have monogenic diabetes. Indeed, the same monogenic diabetes gene can contribute to different forms of diabetes with early or late onset, depending on the functional impact of the variant, and the same pathogenic variant can produce variable diabetes phenotypes, even in the same family. Monogenic diabetes is mostly caused by impaired function or development of pancreatic islets, with defective insulin secretion in the absence of obesity. The most prevalent form of monogenic diabetes is MODY, which may account for 0.5-5% of patients diagnosed with non-autoimmune diabetes but is probably underdiagnosed owing to insufficient genetic testing. Most patients with neonatal diabetes or MODY have autosomal dominant diabetes. More than 40 subtypes of monogenic diabetes have been identified to date, the most prevalent being deficiencies of GCK and HNF1A. Precision medicine approaches (including specific treatments for hyperglycaemia, monitoring associated extra-pancreatic phenotypes and/or following up clinical trajectories, especially during pregnancy) are available for some forms of monogenic diabetes (including GCK- and HNF1A-diabetes) and increase patients' quality of life. Next-generation sequencing has made genetic diagnosis affordable, enabling effective genomic medicine in monogenic diabetes.
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Colclough K, Patel K. How do I diagnose Maturity Onset Diabetes of the Young in my patients? Clin Endocrinol (Oxf) 2022; 97:436-447. [PMID: 35445424 PMCID: PMC9544561 DOI: 10.1111/cen.14744] [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: 09/27/2021] [Revised: 03/21/2022] [Accepted: 04/13/2022] [Indexed: 11/28/2022]
Abstract
Maturity Onset Diabetes of the Young (MODY) is a monogenic form of diabetes diagnosed in young individuals that lack the typical features of type 1 and type 2 diabetes. The genetic subtype of MODY determines the most effective treatment and this is the driver for MODY genetic testing in diabetes populations. Despite the obvious clinical and health economic benefits, MODY is significantly underdiagnosed with the majority of patients being inappropriately managed as having type 1 or type 2 diabetes. Low detection rates result from the difficulty in identifying patients with a likely diagnosis of MODY from the high background population of young onset type 1 and type 2 diabetes, compounded by the lack of MODY awareness and education in diabetes care physicians. MODY diagnosis can be improved through (1) access to education and training, (2) the use of sensitive and specific selection criteria based on accurate prediction models and biomarkers to identify patients for testing, (3) the development and mainstream implementation of simple criteria-based selection pathways applicable across a range of healthcare settings and ethnicities to select the most appropriate patients for genetic testing and (4) the correct use of next generation sequencing technology to provide accurate and comprehensive testing of all known MODY and monogenic diabetes genes. The creation and public sharing of educational materials, clinical and scientific best practice guidelines and genetic variants will help identify the missing patients so they can benefit from the more effective clinical care that a genetic diagnosis brings.
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Affiliation(s)
- Kevin Colclough
- Exeter Genomics LaboratoryRoyal Devon & Exeter NHS Foundation TrustExeterUK
| | - Kashyap Patel
- Institute of Biomedical and Clinical ScienceUniversity of Exeter Medical SchoolExeterUK
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Romuld IB, Kalleklev TL, Molnes J, Juliusson PB, Njølstad PR, Sagen JV. Impact of overweight on glucose homeostasis in MODY2 and MODY3. Diabet Med 2021; 38:e14649. [PMID: 34269485 DOI: 10.1111/dme.14649] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 07/14/2021] [Indexed: 11/29/2022]
Affiliation(s)
- Ingunn B Romuld
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | | | - Janne Molnes
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Petur Benedikt Juliusson
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Paediatrics and Adolescents, Haukeland University Hospital, Bergen, Norway
- Department of Health Registry Research and Development, Norwegian Institute of Public Health, Bergen, Norway
| | - Pål R Njølstad
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Paediatrics and Adolescents, Haukeland University Hospital, Bergen, Norway
| | - Jørn V Sagen
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
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Gaál Z, Szűcs Z, Kántor I, Luczay A, Tóth-Heyn P, Benn O, Felszeghy E, Karádi Z, Madar L, Balogh I. A Comprehensive Analysis of Hungarian MODY Patients-Part I: Gene Panel Sequencing Reveals Pathogenic Mutations in HNF1A, HNF1B, HNF4A, ABCC8 and INS Genes. Life (Basel) 2021; 11:life11080755. [PMID: 34440499 PMCID: PMC8399091 DOI: 10.3390/life11080755] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 07/20/2021] [Accepted: 07/24/2021] [Indexed: 12/13/2022] Open
Abstract
Maturity-onset diabetes of the young (MODY) has about a dozen known causal genes to date, the most common ones being HNF1A, HNF4A, HNF1B and GCK. The phenotype of this clinically and genetically heterogeneous form of diabetes depends on the gene in which the patient has the mutation. We have tested 450 Hungarian index patients with suspected MODY diagnosis with Sanger sequencing and next-generation sequencing and found a roughly 30% positivity rate. More than 70% of disease-causing mutations were found in the GCK gene, about 20% in the HNF1A gene and less than 10% in other MODY-causing genes. We found 8 pathogenic and 9 likely pathogenic mutations in the HNF1A gene in a total of 48 patients and family members. In the case of HNF1A-MODY, the recommended first-line treatment is low dose sulfonylurea but according to our data, the majority of our patients had been on unnecessary insulin therapy at the time of requesting their genetic testing. Our data highlights the importance of genetic testing in the diagnosis of MODY and the establishment of the MODY subtype in order to choose the most appropriate treatment.
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Affiliation(s)
- Zsolt Gaál
- 4th Department of Medicine, Jósa András Teaching Hospital, 4400 Nyíregyháza, Hungary;
| | - Zsuzsanna Szűcs
- Division of Clinical Genetics, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (Z.S.); (L.M.)
| | - Irén Kántor
- Department of Pediatrics, Jósa András Teaching Hospital, 4400 Nyíregyháza, Hungary;
| | - Andrea Luczay
- 1st Department of Pediatrics, Semmelweis University, 1085 Budapest, Hungary; (A.L.); (P.T.-H.)
| | - Péter Tóth-Heyn
- 1st Department of Pediatrics, Semmelweis University, 1085 Budapest, Hungary; (A.L.); (P.T.-H.)
| | - Orsolya Benn
- Department of Pediatrics, Szent György Hospital of Fejér County, 8000 Székesfehérvár, Hungary; (O.B.); (Z.K.)
| | - Enikő Felszeghy
- Department of Pediatrics, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary;
| | - Zsuzsanna Karádi
- Department of Pediatrics, Szent György Hospital of Fejér County, 8000 Székesfehérvár, Hungary; (O.B.); (Z.K.)
| | - László Madar
- Division of Clinical Genetics, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (Z.S.); (L.M.)
| | - István Balogh
- Division of Clinical Genetics, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (Z.S.); (L.M.)
- Correspondence:
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Abstract
Monogenic diabetes, including maturity-onset diabetes of the young, neonatal diabetes, and other rare forms of diabetes, results from a single gene mutation. It has been estimated to represent around 1% to 6% of all diabetes. With the advances in genome sequencing technology, it is possible to diagnose more monogenic diabetes cases than ever before. In Korea, 11 studies have identified several monogenic diabetes cases, using Sanger sequencing and whole exome sequencing since 2001. The recent largest study, using targeted exome panel sequencing, found a molecular diagnosis rate of 21.1% for monogenic diabetes in clinically suspected patients. Mutations in glucokinase (GCK), hepatocyte nuclear factor 1α (HNF1A), and HNF4A were most commonly found. Genetic diagnosis of monogenic diabetes is important as it determines the therapeutic approach required for patients and helps to identify affected family members. However, there are still many challenges, which include a lack of simple clinical criterion for selecting patients for genetic testing, difficulties in interpreting the genetic test results, and high costs for genetic testing. In this review, we will discuss the latest updates on monogenic diabetes in Korea, and suggest an algorithm to screen patients for genetic testing. The genetic tests and non-genetic markers for accurate diagnosis of monogenic diabetes will be also reviewed.
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Affiliation(s)
- Ye Seul Yang
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Uijeongbu St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Uijeongbu, Korea
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Kyong Soo Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University College of Medicine, Seoul, Korea
- Corresponding author: Kyong Soo Park Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul 03080, Korea E-mail:
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Jang KM. Maturity-onset diabetes of the young: update and perspectives on diagnosis and treatment. Yeungnam Univ J Med 2020; 37:13-21. [PMID: 31914718 PMCID: PMC6986955 DOI: 10.12701/yujm.2019.00409] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Accepted: 12/16/2019] [Indexed: 12/17/2022] Open
Abstract
Maturity-onset diabetes of the young (MODY) is a clinically heterogeneous group of monogenic disorders characterized by ß-cell dysfunction. MODY accounts for between 2% and 5% of all diabetes cases, and distinguishing it from type 1 or type 2 diabetes is a diagnostic challenge. Recently, MODY-causing mutations have been identified in 14 different genes. Sanger DNA sequencing is the gold standard for identifying the mutations in MODY-related genes, and may facilitate the diagnosis. Despite the lower frequency among diabetes mellitus cases, a correct genetic diagnosis of MODY is important for optimizing treatment strategies. There is a discrepancy in the disease-causing locus between the Asian and Caucasian patients with MODY. Furthermore, the prevalence of the disease in Asian populations remains to be studied. In this review, the current understanding of MODY is summarized and the Asian studies of MODY are discussed in detail.
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Affiliation(s)
- Kyung Mi Jang
- Department of Pediatrics, Yeungnam University College of Medicine, Daegu, Korea
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Unim B, Pitini E, Lagerberg T, Adamo G, De Vito C, Marzuillo C, Villari P. Current Genetic Service Delivery Models for the Provision of Genetic Testing in Europe: A Systematic Review of the Literature. Front Genet 2019; 10:552. [PMID: 31275354 PMCID: PMC6593087 DOI: 10.3389/fgene.2019.00552] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Accepted: 05/24/2019] [Indexed: 11/13/2022] Open
Abstract
Background: The provision of genetic services, along with research in the fields of genomics and genetics, has evolved in recent years to meet the increasing demand of consumers interested in prediction of genetic diseases and various inherited traits. The aim of this study is to evaluate genetic services in order to identify and classify delivery models for the provision of genetic testing in European and in extra-European countries. Methods: A systematic review of the literature was conducted using five electronic resources. Inclusion criteria were that studies be published in English or Italian during the period 2000-2015 and carried out in European or extra-European countries (Canada, USA, Australia, or New Zealand). Results: 148 genetic programs were identified in 117 articles and were delivered mostly in the UK (59, 40%), USA (35, 24%) or Australia (16, 11%). The programs were available nationally (66; 45%), regionally (49; 33%) or in urban areas (21, 14%). Ninety-six (64%) of the programs were integrated into healthcare systems, 48 (32.21%) were pilot programs and five (3%) were direct-to-consumer genetic services. The genetic tests offered were mainly for BRCA1/2 (59, 40%), Lynch syndrome (23, 16%), and newborn screening (18, 12%). Healthcare professionals with different backgrounds are increasingly engaged in the provision of genetic services. Based on which healthcare professionals have prominent roles in the respective patient care pathways, genetic programs were classified into five models: (i) the geneticists model; (ii) the primary care model; (iii) the medical specialist model; (iv) the population screening programs model; and (v) the direct-to-consumer model. Conclusions: New models of genetic service delivery are currently under development worldwide to address the increasing demand for accessible and affordable services. These models require the integration of genetics into all medical specialties, collaboration among different healthcare professionals, and the redistribution of professional roles. An appropriate model for genetic service provision in a specific setting should ideally be defined according to the type of healthcare system, the genetic test provided within a genetic program, and the cost-effectiveness of the intervention. Only applications with proven efficacy and cost-effectiveness should be implemented in healthcare systems and made available to all citizens.
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Affiliation(s)
- Brigid Unim
- Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy
| | - Erica Pitini
- Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy
| | | | - Giovanna Adamo
- Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy
| | - Corrado De Vito
- Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy
| | - Carolina Marzuillo
- Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy
| | - Paolo Villari
- Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy
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Ozsu E, Cizmecioglu FM, Yesiltepe Mutlu G, Yuksel AB, Calıskan M, Yesilyurt A, Hatun S. Maturity Onset Diabetes of the Young due to Glucokinase, HNF1-A, HNF1-B, and HNF4-A Mutations in a Cohort of Turkish Children Diagnosed as Type 1 Diabetes Mellitus. Horm Res Paediatr 2019; 90:257-265. [PMID: 30481753 DOI: 10.1159/000494431] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Accepted: 10/10/2018] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND/AIMS Maturity onset diabetes of the young (MODY) is a rare condition often misdiagnosed as type 1 diabetes (T1D). The purposes of this study were: to identify any patients followed in a large Turkish cohort as T1D, with an atypical natural history, who may in fact have MODY, and to define the criteria which would indicate patients with likely MODY as early as possible after presentation to allow prompt genetic testing. METHODS Urinary C-peptide/creatinine ratio (UCPCR) was studied in 152 patients having a diagnosis of T1D for at least 3 years. Those with a UCPCR ≥0.2 nmol/mmol were selected for genetic analysis of the Glucokinase (GCK), Hepatocyte nuclear factor 1a (HNF1A), Hepatocyte nuclear factor 4a (HNF4A), and Hepatocyte nuclear factor 1b (HNF1B) genes. This UCPCR cut-off was used because of the reported high sensitivity and specificity. Cases were also evaluated using a MODY probability calculator. RESULTS Twenty-three patients from 152 participants (15.1%) had a UCPCR indicating persistent insulin reserve. The mean age ± SD of the patients was 13.6 ± 3.6 years (range 8.30-21.6). Of these 23, two (8.7%) were found to have a mutation, one with HNF4A and one with HNF1B mutation. No mutations were detected in the GCK or HNF1A genes. CONCLUSION In Turkish children with a diagnosis of T1D but who have persistent insulin reserve 3 years after diagnosis, up to 9% may have a genetic mutation indicating a diagnosis of MODY.
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Affiliation(s)
- Elif Ozsu
- Samsun Obstetrics and Children Hospital, İlkadım, Turkey,
| | - Filiz Mine Cizmecioglu
- University of Kocaeli, School of Medicine, Department of Pediatric Endocrinology and Diabetes, Izmit, Turkey
| | - Gul Yesiltepe Mutlu
- University of Koc, School of Medicine, Department of Pediatric Endocrinology and Diabetes, İstanbul, Turkey
| | - Aysegul Bute Yuksel
- Derince Research and Training Hospital, Pediatric Endocrinology, Kocaeli, Turkey
| | - Mursel Calıskan
- Department of Genetics, Dıskapı Yildirim Beyazit Education and Research Hospital, Ankara, Turkey
| | - Ahmet Yesilyurt
- Department of Genetics, Dıskapı Yildirim Beyazit Education and Research Hospital, Ankara, Turkey
| | - Sukru Hatun
- University of Koc, School of Medicine, Department of Pediatric Endocrinology and Diabetes, İstanbul, Turkey
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12
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Pace NP, Rizzo C, Abela A, Gruppetta M, Fava S, Felice A, Vassallo J. Identification of an HNF1A p.Gly292fs Frameshift Mutation Presenting as Diabetes During Pregnancy in a Maltese Family. CLINICAL MEDICINE INSIGHTS-CASE REPORTS 2019; 12:1179547619831034. [PMID: 30814848 PMCID: PMC6383084 DOI: 10.1177/1179547619831034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 01/18/2019] [Indexed: 12/15/2022]
Abstract
The diagnosis of maturity onset diabetes of the young (MODY) is a challenging
process in view of the extensive clinical and genetic heterogeneity of the
disease. Mutations in the gene encoding hepatocyte nuclear factor 1α
(HNF1A) are responsible for most forms of monogenic
diabetes in Northern European populations. Genetic analysis through a
combination of whole exome sequencing and Sanger sequencing in three Maltese
siblings and their father identified a rare duplication/frameshift mutation in
exon 4 of HNF1A that lies within a known mutational hotspot in
this gene. In this report, we provide the first description of an
HNF1A-MODY3 phenotype in a Maltese family. The findings
reported are relevant and new to a regional population, where the epidemiology
of atypical diabetes has never been studied before. This report is of clinical
interest as it highlights how monogenic diabetes can be misdiagnosed as either
type 1, type 2, or gestational diabetes. It also reinforces the need for a
better characterisation of monogenic diabetes in Mediterranean countries,
particularly in island populations such as Malta with a high prevalence of
diabetes.
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Affiliation(s)
- Nikolai Paul Pace
- Centre for Molecular Medicine and Biobanking, University of Malta, Msida, Malta
| | | | - Alexia Abela
- Department of Medicine, Mater Dei Hospital, Msida, Malta
| | - Mark Gruppetta
- Department of Medicine, Mater Dei Hospital, Msida, Malta
| | - Stephen Fava
- Department of Medicine, Mater Dei Hospital, Msida, Malta
| | - Alex Felice
- Centre for Molecular Medicine and Biobanking, University of Malta, Msida, Malta
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Abstract
In addition to the common types of diabetes mellitus, two major monogenic diabetes forms exist. Maturity-onset diabetes of the young (MODY) represents a heterogenous group of monogenic, autosomal dominant diseases. MODY accounts for 1-2% of all diabetes cases, and it is not just underdiagnosed but often misdiagnosed to type 1 or type 2 diabetes. More than a dozen MODY genes have been identified to date, and their molecular classification is of great importance in the correct treatment decision and in the judgment of the prognosis. The most prevalent subtypes are HNF1A, GCK, and HNF4A. Genetic testing for MODY has changed recently due to the technological advancements, as contrary to the sequential testing performed in the past, nowadays all MODY genes can be tested simultaneously by next-generation sequencing. The other major group of monogenic diabetes is neonatal diabetes mellitus which can be transient or permanent, and often the diabetes is a part of a syndrome. It is a severe monogenic disease appearing in the first 6 months of life. The hyperglycemia usually requires insulin. There are two forms, permanent neonatal diabetes mellitus (PNDM) and transient neonatal diabetes mellitus (TNDM). In TNDM, the diabetes usually reverts within several months but might relapse later in life. The incidence of NDM is 1:100,000-1:400,000 live births, and PNDM accounts for half of the cases. Most commonly, neonatal diabetes is caused by mutations in KCNJ11 and ABCC8 genes encoding the ATP-dependent potassium channel of the β cell. Neonatal diabetes has experienced a quick and successful transition into the clinical practice since the discovery of the molecular background. In case of both genetic diabetes groups, recent guidelines recommend genetic testing.
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Affiliation(s)
- Zsolt Gaál
- 4th Department of Medicine, Jósa András Teaching Hospital, Nyíregyháza, Hungary
| | - István Balogh
- Division of Clinical Genetics, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
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14
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Rama Chandran S, Bhalshankar J, Farhad Vasanwala R, Zhao Y, Owen KR, Su-Lyn Gardner D. Traditional clinical criteria outperform high-sensitivity C-reactive protein for the screening of hepatic nuclear factor 1 alpha maturity-onset diabetes of the young among young Asians with diabetes. Ther Adv Endocrinol Metab 2018; 9:271-282. [PMID: 30181854 PMCID: PMC6116767 DOI: 10.1177/2042018818776167] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Accepted: 04/20/2018] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Young adults with diabetes in Asia represent a heterogeneous group. Using traditional clinical criteria to preselect individuals for testing for maturity-onset diabetes of the young (MODY) may exclude a large proportion from testing. High-sensitivity C-reactive protein (hs-CRP) has shown promise as a biomarker to differentiate hepatic nuclear factor 1 alpha (HNF1A)-MODY from type 2 diabetes. We aimed to compare the use of hs-CRP as a biomarker versus traditional criteria, to guide testing for HNF1A-MODY among a cohort of young adults with diabetes in Singapore. METHODS A total of 252 adults (age of onset ⩽45 years) and 20 children with diabetes were recruited. Using traditional criteria (family history of diabetes and onset of diabetes ⩽25 years) and an hs-CRP cut off of ⩽0.5 mg/l, 125 and 37 adults, respectively, were identified for HNF1A gene testing. All children underwent HNF1A gene testing. RESULTS Five adults (5/143, 3.5%) with HNF1A-MODY were identified. There were no HNF1A gene mutations among the children. Traditional criteria correctly identified all five HNF1A-MODY individuals (5/125, 4%), while applying an hs-CRP level of ⩽0.5 mg/l selected just 1 of these 5 for HNF1A gene testing (1/37, 2.7%). None of those with a positive GAD antibody or undetectable C-peptide level had HNF1A-MODY. CONCLUSION The use of hs-CRP to guide screening for HNF1A-MODY among Asian young adults with diabetes did not improve the diagnostic yield. Applying a combination of age of onset of diabetes under 25 years and a family history of diabetes alone could guide targeted HNF1A-MODY screening in Asians, with an expected yield of 4% diagnosed with HNF1A-MODY among those screened.
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Affiliation(s)
| | - Jaydutt Bhalshankar
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore
| | | | - Yi Zhao
- Division of Clinical Research, Singapore General Hospital, Singapore
| | - Katharine R. Owen
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK Oxford National Institute for Health Research Biomedical Research Centre, The Churchill Hospital, Oxford, UK
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15
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Lv Y, Li Z, He K, Gao Y, Xiao X, Liu Y, Wang G. A novel mutation in the hepatocyte nuclear factor-1β gene in maturity onset diabetes of the young 5 with multiple renal cysts and pancreas hypogenesis: A case report. Exp Ther Med 2017; 14:3131-3136. [PMID: 28912863 DOI: 10.3892/etm.2017.4871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Accepted: 04/11/2017] [Indexed: 11/06/2022] Open
Abstract
A 17-year-old Chinese male was hospitalized exhibiting hyperglycemia and increased serum urea nitrogen and creatinine levels in addition to weight loss. The patient was treated with gliclazide. The patient was 150 cm tall, weighed 35 kg and had no family history of diabetes or kidney disease. Physical examination revealed cephalus quadratus, rachitic rosary and a visible toe-out gait. Laboratory examinations revealed that the patient's fasting plasma glucose and glycosylated hemoglobin levels were markedly increased, fasting plasma C-peptide level was slightly increased and no peak 2 h postprandial was observed. Diabetic autoimmune antibodies [islet cell cytoplasmic autoantibodies (ICA), glutamic acid decarboxylase autoantibodies (GADA), isulinoma-2-associated autoantibodies (IA2A) and insulin autoantibodies (IAA)] were negative. Levels of serum electrolytes decreased, uric acid and parathyroid hormone increased, mild albuminuria was detected and there was a low proportion of urine. The patient also presented with low bone mass and cataracts. Abdominal computed tomography (CT) revealed a bilateral atrophic kidney with multiple renal cysts, primarily located at the junction of renal cortex and medulla, with a diameter of 0.3-0.7 cm. CT also revealed hypogenesis of the body and tail of the pancreas. In an oral glucose tolerance test, the mother and paternal uncle of the patient were diagnosed with type II diabetes and the patient's sister, maternal uncle and paternal grandpa were diagnosed with glucose tolerance impairment. Genetic testing revealed an unreported amino acid mutation in exon 2 of hepatocyte nuclear factor 1β (c.391C>T), a nonsense mutation of CAA to TAA at codon 131. This mutation was identified in the proband but not in any other family members.
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Affiliation(s)
- You Lv
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
| | - Zhuo Li
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
| | - Kan He
- Department of Radiology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
| | - Ying Gao
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
| | - Xianchao Xiao
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
| | - Yujia Liu
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
| | - Guixia Wang
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
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Najmi LA, Aukrust I, Flannick J, Molnes J, Burtt N, Molven A, Groop L, Altshuler D, Johansson S, Bjørkhaug L, Njølstad PR. Functional Investigations of HNF1A Identify Rare Variants as Risk Factors for Type 2 Diabetes in the General Population. Diabetes 2017; 66:335-346. [PMID: 27899486 PMCID: PMC5860263 DOI: 10.2337/db16-0460] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Accepted: 11/18/2016] [Indexed: 12/18/2022]
Abstract
Variants in HNF1A encoding hepatocyte nuclear factor 1α (HNF-1A) are associated with maturity-onset diabetes of the young form 3 (MODY 3) and type 2 diabetes. We investigated whether functional classification of HNF1A rare coding variants can inform models of diabetes risk prediction in the general population by analyzing the effect of 27 HNF1A variants identified in well-phenotyped populations (n = 4,115). Bioinformatics tools classified 11 variants as likely pathogenic and showed no association with diabetes risk (combined minor allele frequency [MAF] 0.22%; odds ratio [OR] 2.02; 95% CI 0.73-5.60; P = 0.18). However, a different set of 11 variants that reduced HNF-1A transcriptional activity to <60% of normal (wild-type) activity was strongly associated with diabetes in the general population (combined MAF 0.22%; OR 5.04; 95% CI 1.99-12.80; P = 0.0007). Our functional investigations indicate that 0.44% of the population carry HNF1A variants that result in a substantially increased risk for developing diabetes. These results suggest that functional characterization of variants within MODY genes may overcome the limitations of bioinformatics tools for the purposes of presymptomatic diabetes risk prediction in the general population.
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Affiliation(s)
- Laeya Abdoli Najmi
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Ingvild Aukrust
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Jason Flannick
- Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA
| | - Janne Molnes
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Pediatrics, Haukeland University Hospital, Bergen, Norway
| | - Noel Burtt
- Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA
| | - Anders Molven
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Leif Groop
- Department of Clinical Sciences, Diabetes and Endocrinology, Clinical Research Center, Lund University, Malmö, Sweden
| | - David Altshuler
- Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA
- Departments of Genetics and Medicine, Harvard Medical School, Boston, MA
- Departments of Molecular Biology and Diabetes Unit, Massachusetts General Hospital, Boston, MA
| | - Stefan Johansson
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Lise Bjørkhaug
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Biomedical Laboratory Sciences, Bergen University College, Bergen, Norway
| | - Pål Rasmus Njølstad
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Pediatrics, Haukeland University Hospital, Bergen, Norway
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17
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Wang Q, Grainger AT, Manichaikul A, Farber E, Onengut-Gumuscu S, Shi W. Genetic linkage of hyperglycemia and dyslipidemia in an intercross between BALB/cJ and SM/J Apoe-deficient mouse strains. BMC Genet 2015; 16:133. [PMID: 26555648 PMCID: PMC4641414 DOI: 10.1186/s12863-015-0292-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2015] [Accepted: 11/02/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Individuals with dyslipidemia often develop type 2 diabetes, and diabetic patients often have dyslipidemia. It remains to be determined whether there are genetic connections between the 2 disorders. METHODS A female F2 cohort, generated from BALB/cJ (BALB) and SM/J (SM) Apoe-deficient (Apoe(-/-)) strains, was started on a Western diet at 6 weeks of age and maintained on the diet for 12 weeks. Fasting plasma glucose and lipid levels were measured before and after 12 weeks of Western diet. 144 genetic markers across the entire genome were used for quantitative trait locus (QTL) analysis. RESULTS One significant QTL on chromosome 9, named Bglu17 [26.4 cM, logarithm of odds ratio (LOD): 5.4], and 3 suggestive QTLs were identified for fasting glucose levels. The suggestive QTL near the proximal end of chromosome 9 (2.4 cM, LOD: 3.12) was replicated at both time points and named Bglu16. Bglu17 coincided with a significant QTL for HDL (high-density lipoprotein) and a suggestive QTL for non-HDL cholesterol levels. Plasma glucose levels were inversely correlated with HDL but positively correlated with non-HDL cholesterol levels in F2 mice on either chow or Western diet. A significant correlation between fasting glucose and triglyceride levels was also observed on the Western diet. Haplotype analysis revealed that "lipid genes" Sik3, Apoa1, and Apoc3 were probable candidates for Bglu17. CONCLUSIONS We have identified multiple QTLs for fasting glucose and lipid levels. The colocalization of QTLs for both phenotypes and the sharing of potential candidate genes demonstrate genetic connections between dyslipidemia and type 2 diabetes.
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Affiliation(s)
- Qian Wang
- Department of Radiology & Medical Imaging, University of Virginia, Snyder Bldg Rm 266, 480 Ray C. Hunt Dr., P.O. Box 801339, Fontaine Research Park, Charlottesville, VA, 22908, USA. .,University of Virginia, Snyder Bldg Rm 266, 480 Ray C. Hunt Dr., P.O. Box 801339, Fontaine Research Park, Charlottesville, VA, 22908, USA.
| | - Andrew T Grainger
- Department of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville, VA, USA. .,University of Virginia, Charlottesville, VA, USA.
| | - Ani Manichaikul
- Center for Public Health and Genomics, University of Virginia, Charlottesville, VA, USA.
| | - Emily Farber
- Center for Public Health and Genomics, University of Virginia, Charlottesville, VA, USA.
| | - Suna Onengut-Gumuscu
- Center for Public Health and Genomics, University of Virginia, Charlottesville, VA, USA.
| | - Weibin Shi
- Department of Radiology & Medical Imaging, University of Virginia, Snyder Bldg Rm 266, 480 Ray C. Hunt Dr., P.O. Box 801339, Fontaine Research Park, Charlottesville, VA, 22908, USA. .,University of Virginia, Snyder Bldg Rm 266, 480 Ray C. Hunt Dr., P.O. Box 801339, Fontaine Research Park, Charlottesville, VA, 22908, USA.
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18
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Janssens ACJW, Patch C, Skirton H. Predictive or not predictive: understanding the mixed messages from the patient's DNA sequence. J Clin Nurs 2015; 24:3730-5. [PMID: 26542756 DOI: 10.1111/jocn.13079] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/26/2015] [Indexed: 11/30/2022]
Abstract
AIMS AND OBJECTIVES The aim of this discussion paper is to enable nurses to understand how deoxyribonucleic acid analysis can be predictive for some diseases and not predictive for others. This will facilitate nurses to interpret genomic test results and explain them to patients. BACKGROUND Advances in technology mean that genetic testing is now commonly performed by sequencing the majority of an individual's genome or exome. This results in a huge amount of data, some of which can be used to predict or diagnose disease. DESIGN This is a discussion paper. METHODS This paper emerged from multiple discussions between the three authors over many months, culminating in a writing workshop to prepare this text. RESULTS The results of DNA analysis can be used to diagnose or predict rare diseases that are caused by a mutation in a single gene. However, while there are a number of genetic factors that contribute to common diseases, the ability to predict whether an individual will develop that condition is limited by the overall heritability of the condition. Environmental factors (such as lifestyle) are likely to be more useful in predicting common disease than genomic testing. Genomic tests may be of use to inform management of diseases in specific situations. CONCLUSIONS Genomic testing will be of use in diagnosing disorders due to single gene mutations, but the use of genomic testing to predict the chance of a patient being affected in the future by a common disease is unlikely to be a realistic option within a health service setting. RELEVANCE TO CLINICAL PRACTICE Nurses will increasingly be involved in the use of genomic tests in mainstream patient care. However, they need to understand and be able to explain to patients the practical applications of and limitations of such tests.
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Affiliation(s)
- A Cecile J W Janssens
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Christine Patch
- Department of Clinical Genetics, Guys and St Thomas NHS Foundation Trust, Guys Hospital, London, UK.,Florence Nightingale Faculty of Nursing and Midwifery, King's College London, London, UK
| | - Heather Skirton
- Faculty of Health and Human Sciences, Plymouth University, Plymouth, UK
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19
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Østoft SH, Bagger JI, Hansen T, Hartmann B, Pedersen O, Holst JJ, Knop FK, Vilsbøll T. Postprandial incretin and islet hormone responses and dipeptidyl-peptidase 4 enzymatic activity in patients with maturity onset diabetes of the young. Eur J Endocrinol 2015; 173:205-15. [PMID: 25953829 DOI: 10.1530/eje-15-0070] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2015] [Accepted: 05/07/2015] [Indexed: 01/09/2023]
Abstract
OBJECTIVE The role of the incretin hormones in the pathophysiology of maturity onset diabetes of the young (MODY) is unclear. DESIGN We studied the postprandial plasma responses of glucagon, incretin hormones (glucagon-like peptide 1 (GLP1) and glucose-dependent insulinotropic polypeptide (GIP)) and dipeptidyl-peptidase 4 (DPP4) enzymatic activity in patients with glucokinase (GCK) diabetes (MODY2) and hepatocyte nuclear factor 1α (HNF1A) diabetes (MODY3) as well as in matched healthy individuals (CTRLs). SUBJECTS AND METHODS Ten patients with MODY2 (mean age ± S.E.M. 43 ± 5 years; BMI 24 ± 2 kg/m(2); fasting plasma glucose (FPG) 7.1 ± 0.3 mmol/l: HbA1c 6.6 ± 0.2%), ten patients with MODY3 (age 31 ± 3 years; BMI 24 ± 1 kg/m(2); FPG 8.9 ± 0.8 mmol/l; HbA1c 7.0 ± 0.3%) and ten CTRLs (age 40 ± 5 years; BMI 24 ± 1 kg/m(2); FPG 5.1 ± 0.1 mmol/l; HbA1c 5.3 ± 0.1%) were examined with a liquid test meal. RESULTS All of the groups exhibited similar baseline values of glucagon (MODY2: 7 ± 1 pmol/l; MODY3: 6 ± 1 pmol/l; CTRLs: 8 ± 2 pmol/l, P=0.787), but patients with MODY3 exhibited postprandial hyperglucagonaemia (area under the curve (AUC) 838 ± 108 min × pmol/l) as compared to CTRLs (182 ± 176 min × pmol/l, P=0.005) and tended to have a greater response than did patients with MODY2 (410 ± 154 min × pmol/l, P=0.063). Similar peak concentrations and AUCs for plasma GIP and plasma GLP1 were observed across the groups. Increased fasting DPP4 activity was seen in patients with MODY3 (17.7 ± 1.2 mU/ml) vs CTRLs (13.6 ± 0.8 mU/ml, P=0.011), but the amount of activity was similar to that in patients with MODY2 (15.0 ± 0.7 mU/ml, P=0.133). CONCLUSION The pathophysiology of MODY3 includes exaggerated postprandial glucagon responses and increased fasting DPP4 enzymatic activity but normal postprandial incretin responses both in patients with MODY2 and in patients with MODY3.
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Affiliation(s)
- Signe Harring Østoft
- Center for Diabetes ResearchGentofte Hospital, University of Copenhagen, Kildegårdsvej 28, DK-2900 Hellerup, DenmarkDepartment of Biomedical SciencesFaculty of Health Sciences, University of Copenhagen, Copenhagen, DenmarkNNF Center for Basic Metabolic ResearchUniversity of Copenhagen, Copenhagen, DenmarkFaculty of Health SciencesUniversity of Southern Denmark, Odense, Denmark Center for Diabetes ResearchGentofte Hospital, University of Copenhagen, Kildegårdsvej 28, DK-2900 Hellerup, DenmarkDepartment of Biomedical SciencesFaculty of Health Sciences, University of Copenhagen, Copenhagen, DenmarkNNF Center for Basic Metabolic ResearchUniversity of Copenhagen, Copenhagen, DenmarkFaculty of Health SciencesUniversity of Southern Denmark, Odense, Denmark Center for Diabetes ResearchGentofte Hospital, University of Copenhagen, Kildegårdsvej 28, DK-2900 Hellerup, DenmarkDepartment of Biomedical SciencesFaculty of Health Sciences, University of Copenhagen, Copenhagen, DenmarkNNF Center for Basic Metabolic ResearchUniversity of Copenhagen, Copenhagen, DenmarkFaculty of Health SciencesUniversity of Southern Denmark, Odense, Denmark
| | - Jonatan Ising Bagger
- Center for Diabetes ResearchGentofte Hospital, University of Copenhagen, Kildegårdsvej 28, DK-2900 Hellerup, DenmarkDepartment of Biomedical SciencesFaculty of Health Sciences, University of Copenhagen, Copenhagen, DenmarkNNF Center for Basic Metabolic ResearchUniversity of Copenhagen, Copenhagen, DenmarkFaculty of Health SciencesUniversity of Southern Denmark, Odense, Denmark Center for Diabetes ResearchGentofte Hospital, University of Copenhagen, Kildegårdsvej 28, DK-2900 Hellerup, DenmarkDepartment of Biomedical SciencesFaculty of Health Sciences, University of Copenhagen, Copenhagen, DenmarkNNF Center for Basic Metabolic ResearchUniversity of Copenhagen, Copenhagen, DenmarkFaculty of Health SciencesUniversity of Southern Denmark, Odense, Denmark Center for Diabetes ResearchGentofte Hospital, University of Copenhagen, Kildegårdsvej 28, DK-2900 Hellerup, DenmarkDepartment of Biomedical SciencesFaculty of Health Sciences, University of Copenhagen, Copenhagen, DenmarkNNF Center for Basic Metabolic ResearchUniversity of Copenhagen, Copenhagen, DenmarkFaculty of Health SciencesUniversity of Southern Denmark, Odense, Denmark
| | - Torben Hansen
- Center for Diabetes ResearchGentofte Hospital, University of Copenhagen, Kildegårdsvej 28, DK-2900 Hellerup, DenmarkDepartment of Biomedical SciencesFaculty of Health Sciences, University of Copenhagen, Copenhagen, DenmarkNNF Center for Basic Metabolic ResearchUniversity of Copenhagen, Copenhagen, DenmarkFaculty of Health SciencesUniversity of Southern Denmark, Odense, Denmark Center for Diabetes ResearchGentofte Hospital, University of Copenhagen, Kildegårdsvej 28, DK-2900 Hellerup, DenmarkDepartment of Biomedical SciencesFaculty of Health Sciences, University of Copenhagen, Copenhagen, DenmarkNNF Center for Basic Metabolic ResearchUniversity of Copenhagen, Copenhagen, DenmarkFaculty of Health SciencesUniversity of Southern Denmark, Odense, Denmark
| | - Bolette Hartmann
- Center for Diabetes ResearchGentofte Hospital, University of Copenhagen, Kildegårdsvej 28, DK-2900 Hellerup, DenmarkDepartment of Biomedical SciencesFaculty of Health Sciences, University of Copenhagen, Copenhagen, DenmarkNNF Center for Basic Metabolic ResearchUniversity of Copenhagen, Copenhagen, DenmarkFaculty of Health SciencesUniversity of Southern Denmark, Odense, Denmark Center for Diabetes ResearchGentofte Hospital, University of Copenhagen, Kildegårdsvej 28, DK-2900 Hellerup, DenmarkDepartment of Biomedical SciencesFaculty of Health Sciences, University of Copenhagen, Copenhagen, DenmarkNNF Center for Basic Metabolic ResearchUniversity of Copenhagen, Copenhagen, DenmarkFaculty of Health SciencesUniversity of Southern Denmark, Odense, Denmark
| | - Oluf Pedersen
- Center for Diabetes ResearchGentofte Hospital, University of Copenhagen, Kildegårdsvej 28, DK-2900 Hellerup, DenmarkDepartment of Biomedical SciencesFaculty of Health Sciences, University of Copenhagen, Copenhagen, DenmarkNNF Center for Basic Metabolic ResearchUniversity of Copenhagen, Copenhagen, DenmarkFaculty of Health SciencesUniversity of Southern Denmark, Odense, Denmark
| | - Jens Juul Holst
- Center for Diabetes ResearchGentofte Hospital, University of Copenhagen, Kildegårdsvej 28, DK-2900 Hellerup, DenmarkDepartment of Biomedical SciencesFaculty of Health Sciences, University of Copenhagen, Copenhagen, DenmarkNNF Center for Basic Metabolic ResearchUniversity of Copenhagen, Copenhagen, DenmarkFaculty of Health SciencesUniversity of Southern Denmark, Odense, Denmark Center for Diabetes ResearchGentofte Hospital, University of Copenhagen, Kildegårdsvej 28, DK-2900 Hellerup, DenmarkDepartment of Biomedical SciencesFaculty of Health Sciences, University of Copenhagen, Copenhagen, DenmarkNNF Center for Basic Metabolic ResearchUniversity of Copenhagen, Copenhagen, DenmarkFaculty of Health SciencesUniversity of Southern Denmark, Odense, Denmark
| | - Filip Krag Knop
- Center for Diabetes ResearchGentofte Hospital, University of Copenhagen, Kildegårdsvej 28, DK-2900 Hellerup, DenmarkDepartment of Biomedical SciencesFaculty of Health Sciences, University of Copenhagen, Copenhagen, DenmarkNNF Center for Basic Metabolic ResearchUniversity of Copenhagen, Copenhagen, DenmarkFaculty of Health SciencesUniversity of Southern Denmark, Odense, Denmark Center for Diabetes ResearchGentofte Hospital, University of Copenhagen, Kildegårdsvej 28, DK-2900 Hellerup, DenmarkDepartment of Biomedical SciencesFaculty of Health Sciences, University of Copenhagen, Copenhagen, DenmarkNNF Center for Basic Metabolic ResearchUniversity of Copenhagen, Copenhagen, DenmarkFaculty of Health SciencesUniversity of Southern Denmark, Odense, Denmark Center for Diabetes ResearchGentofte Hospital, University of Copenhagen, Kildegårdsvej 28, DK-2900 Hellerup, DenmarkDepartment of Biomedical SciencesFaculty of Health Sciences, University of Copenhagen, Copenhagen, DenmarkNNF Center for Basic Metabolic ResearchUniversity of Copenhagen, Copenhagen, DenmarkFaculty of Health SciencesUniversity of Southern Denmark, Odense, Denmark
| | - Tina Vilsbøll
- Center for Diabetes ResearchGentofte Hospital, University of Copenhagen, Kildegårdsvej 28, DK-2900 Hellerup, DenmarkDepartment of Biomedical SciencesFaculty of Health Sciences, University of Copenhagen, Copenhagen, DenmarkNNF Center for Basic Metabolic ResearchUniversity of Copenhagen, Copenhagen, DenmarkFaculty of Health SciencesUniversity of Southern Denmark, Odense, Denmark
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20
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Abstract
Monogenic diabetes is frequently mistakenly diagnosed as either type 1 or type 2 diabetes, yet accounts for approximately 1-2% of diabetes. Identifying monogenic forms of diabetes has practical implications for specific therapy, screening of family members and genetic counselling. The most common forms of monogenic diabetes are due to glucokinase (GCK), hepatocyte nuclear factor (HNF)-1A and HNF-4A, HNF-1B, m.3243A>G gene defects. Practical aspects of their recognition, diagnosis and management are outlined, particularly as they relate to pregnancy. This knowledge is important for all physicians managing diabetes in pregnancy, given this is a time when previously unrecognised monogenic diabetes may be uncovered with careful attention to atypical features of diabetes misclassified as type 1, type 2, or gestational diabetes.
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Affiliation(s)
- Rinki Murphy
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
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Bennett JT, Vasta V, Zhang M, Narayanan J, Gerrits P, Hahn SH. Molecular genetic testing of patients with monogenic diabetes and hyperinsulinism. Mol Genet Metab 2015; 114:451-8. [PMID: 25555642 PMCID: PMC7852340 DOI: 10.1016/j.ymgme.2014.12.304] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2014] [Revised: 12/13/2014] [Accepted: 12/13/2014] [Indexed: 02/06/2023]
Abstract
Genetic sequencing has become a critical part of the diagnosis of certain forms of pancreatic beta cell dysfunction. Despite great advances in the speed and cost of DNA sequencing, determining the pathogenicity of variants remains a challenge, and requires sharing of sequence and phenotypic data between laboratories. We reviewed all diabetes and hyperinsulinism-associated molecular testing done at the Seattle Children's Molecular Genetics Laboratory from 2009 to 2013. 331 probands were referred to us for molecular genetic sequencing for Neonatal Diabetes (NDM), Maturity-Onset Diabetes of the Young (MODY), or Congenital Hyperinsulinism (CHI) during this period. Reportable variants were identified in 115 (35%) patients with 91 variants in one of 6 genes: HNF1A, GCK, HNF4A, ABCC8, KCNJ11, or INS. In addition to identifying 23 novel variants, we identified unusual mechanisms of inheritance, including mosaic and digenic MODY presentations. Re-analysis of all reported variants using more recently available databases led to a change in variant interpretation from the original report in 30% of cases. These results represent a resource for molecular testing of monogenic forms of diabetes and hyperinsulinism, providing a mutation spectrum for these disorders in a large North American cohort. In addition, they highlight the importance of periodic review of molecular testing results.
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Affiliation(s)
- James T Bennett
- Department of Pediatrics, University of Washington School of Medicine, Seattle Children's Hospital, Seattle, WA 98105, USA
| | - Valeria Vasta
- Department of Pediatrics, University of Washington School of Medicine, Seattle Children's Hospital, Seattle, WA 98105, USA
| | - Min Zhang
- Department of Pediatrics, University of Washington School of Medicine, Seattle Children's Hospital, Seattle, WA 98105, USA
| | - Jaya Narayanan
- Department of Pediatrics, University of Washington School of Medicine, Seattle Children's Hospital, Seattle, WA 98105, USA
| | - Peter Gerrits
- Department of Pediatric Endocrinology, Beaumont Children's Hospital, Royal Oak, MI 48073, USA
| | - Si Houn Hahn
- Department of Pediatrics, University of Washington School of Medicine, Seattle Children's Hospital, Seattle, WA 98105, USA.
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22
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Afonso P, Ferraria N, Carvalho A, Castro SV. Maturity onset diabetes of young type 2 due to a novel de novo GKC mutation. ACTA ACUST UNITED AC 2014; 58:772-5. [DOI: 10.1590/0004-2730000003147] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2013] [Accepted: 08/18/2014] [Indexed: 11/22/2022]
Abstract
Maturity Onset Diabetes of Young (MODY) is a heterogeneous group of monogenic disorders that result in β-cell dysfunction, with an estimated prevalence of 1%-2% in industrialized countries. MODY generally occurs in non-obese patients with negative autoantibodies presenting with mild to moderate hyperglycemia. The clinical features of the patients are heterogeneous, depending on the different genetic subtypes. We pretend to report a case of MODY type 2 caused by a novel de novo CGK mutation, highlighting the importance of the differential diagnosis in pediatric diabetes. A 13-year-old, healthy and non-obese girl was admitted for investigation of recurrent hyperglycemia episodes. She presented with persistent high levels of fasting blood glycemia (> 11.1 mmol/L) and had no familial history of diabetes. The blood glucose profile revealed an impaired fasting glucose of 124 mg/dL (6,9 mmol/L) with a normal oral glucose tolerance test. Fasting insulinemia was 15 mg/dL (90.1 pmol/L), HOMA-IR was 3.9 and hemoglobin A1c was 7.1%. Pancreatic autoantibodies were negative. Genetic testing identified a novel missense heterozygous mutation in exon 5 of GCK gene c.509G > T (p.Gly170Val), not present on the parents. This result established the diagnosis of MODY type 2. Clinical identification of patients with MODY remains a diagnostic challenge, especially when familial history is absent. Molecular diagnosis is very important for establishing an individualized treatment and providing a long term prognosis for each type of MODY.
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23
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Colclough K, Saint-Martin C, Timsit J, Ellard S, Bellanné-Chantelot C. Clinical utility gene card for: Maturity-onset diabetes of the young. Eur J Hum Genet 2014; 22:ejhg201414. [PMID: 24518839 DOI: 10.1038/ejhg.2014.14] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Affiliation(s)
- Kevin Colclough
- Department of Molecular Genetics, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Cécile Saint-Martin
- Department of Genetics, AP-HP Hôpitaux Universitaires Pitie-Salpétrière-Charles Foix, Université Pierre et Marie Curie, Paris, France
| | - José Timsit
- Department of Diabetology and Endocrinology, AP-HP Groupe Hospitalier Cochin-Hôtel Dieu, Université Paris Descartes, Paris, France
| | - Sian Ellard
- 1] Department of Molecular Genetics, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK [2] Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Christine Bellanné-Chantelot
- Department of Genetics, AP-HP Hôpitaux Universitaires Pitie-Salpétrière-Charles Foix, Université Pierre et Marie Curie, Paris, France
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24
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Flannick J, Beer NL, Bick AG, Agarwala V, Molnes J, Gupta N, Burtt NP, Florez JC, Meigs JB, Taylor H, Lyssenko V, Irgens H, Fox E, Burslem F, Johansson S, Brosnan MJ, Trimmer JK, Newton-Cheh C, Tuomi T, Molven A, Wilson JG, O'Donnell CJ, Kathiresan S, Hirschhorn JN, Njølstad PR, Rolph T, Seidman J, Gabriel S, Cox DR, Seidman C, Groop L, Altshuler D. Assessing the phenotypic effects in the general population of rare variants in genes for a dominant Mendelian form of diabetes. Nat Genet 2013; 45:1380-5. [PMID: 24097065 PMCID: PMC4051627 DOI: 10.1038/ng.2794] [Citation(s) in RCA: 108] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2013] [Accepted: 09/13/2013] [Indexed: 12/25/2022]
Abstract
Genome sequencing can identify individuals in the general population who harbor rare coding variants in genes for Mendelian disorders and who may consequently have increased disease risk. Previous studies of rare variants in phenotypically extreme individuals display ascertainment bias and may demonstrate inflated effect-size estimates. We sequenced seven genes for maturity-onset diabetes of the young (MODY) in well-phenotyped population samples (n = 4,003). We filtered rare variants according to two prediction criteria for disease-causing mutations: reported previously in MODY or satisfying stringent de novo thresholds (rare, conserved and protein damaging). Approximately 1.5% and 0.5% of randomly selected individuals from the Framingham and Jackson Heart Studies, respectively, carry variants from these two classes. However, the vast majority of carriers remain euglycemic through middle age. Accurate estimates of variant effect sizes from population-based sequencing are needed to avoid falsely predicting a substantial fraction of individuals as being at risk for MODY or other Mendelian diseases.
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Affiliation(s)
- Jason Flannick
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Nicola L Beer
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Alexander G Bick
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Vineeta Agarwala
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Harvard-MIT Division of Health Sciences and Technology, MIT, Cambridge, MA, USA
- Program in Biophysics, Graduate School of Arts and Sciences, Harvard University, Cambridge, MA, USA
| | - Janne Molnes
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Namrata Gupta
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Noel P Burtt
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Jose C Florez
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - James B Meigs
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- General Medicine Division, Massachusetts General Hospital, Boston, MA, USA
| | - Herman Taylor
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
- Jackson State University, Jackson, MS, USA
- Tougaloo College, Tougaloo MS, USA
| | - Valeriya Lyssenko
- Department of Clinical Sciences, Diabetes and Endocrinology, Clinical Research Centre, Lund University, Malmö, Sweden
| | - Henrik Irgens
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Pediatrics, Haukeland University Hospital, Bergen, Norway
| | - Ervin Fox
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Frank Burslem
- Cardiovascular and Metabolic Diseases Practice, Prescient Life Sciences, London, UK
| | - Stefan Johansson
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - M Julia Brosnan
- Cardiovascular and Metabolic Diseases Research Unit, Pfizer Inc., Cambridge, MA, USA
| | - Jeff K Trimmer
- Cardiovascular and Metabolic Diseases Research Unit, Pfizer Inc., Cambridge, MA, USA
| | - Christopher Newton-Cheh
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
- Cardiology Division, Massachusetts General Hospital, Boston, MA, USA
| | - Tiinamaija Tuomi
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Department of Medicine, Helsinki University Central Hospital and Research Program for Molecular Medicine
| | - Anders Molven
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Christopher J O'Donnell
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
- Cardiology Division, Massachusetts General Hospital, Boston, MA, USA
- Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, MD, USA
| | - Sekar Kathiresan
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
- Cardiology Division, Massachusetts General Hospital, Boston, MA, USA
| | - Joel N Hirschhorn
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Endocrinology and Program in Genomics, Children's Hospital, Boston, MA, USA
| | - Pål R Njølstad
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Pediatrics, Haukeland University Hospital, Bergen, Norway
| | - Tim Rolph
- Cardiovascular and Metabolic Diseases Research Unit, Pfizer Inc., Cambridge, MA, USA
| | - J.G. Seidman
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Stacey Gabriel
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - David R Cox
- Applied Quantitative Genotherapeutics, Pfizer Inc., South San Francisco, CA, USA
| | - Christine Seidman
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Leif Groop
- Department of Clinical Sciences, Diabetes and Endocrinology, Clinical Research Centre, Lund University, Malmö, Sweden
- Finnish Institute for Molecular Medicine (FIMM), Helsinki University, Helsinki, Finland
| | - David Altshuler
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
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25
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McDonald TJ, Ellard S. Maturity onset diabetes of the young: identification and diagnosis. Ann Clin Biochem 2013; 50:403-15. [PMID: 23878349 DOI: 10.1177/0004563213483458] [Citation(s) in RCA: 107] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Maturity-onset diabetes of the young (MODY) is a monogenic disorder that results in a familial, young-onset non-insulin dependent form of diabetes, typically presenting in lean young adults before 25 years. Approximately 1% of diabetes has a monogenic cause but this is frequently misdiagnosed as Type 1 or Type 2 diabetes. A correct genetic diagnosis is important as it often leads to improved treatment for those affected with diabetes and enables predictive genetic testing for their asymptomatic relatives. An early diagnosis together with appropriate treatment is essential for reducing the risk of diabetic complications in later life. Mutations in the GCK and HNF1A/4 A genes account for up to 80% of all MODY cases. Mutations in the GCK gene cause a mild, asymptomatic and non-progressive fasting hyperglycaemia from birth usually requiring no treatment. In contrast, mutations in the genes encoding the transcription factors HNF1A and HNF4A cause a progressive insulin secretory defect and hyperglycaemia that can lead to vascular complications. The diabetes in these patients is usually well controlled with sulphonylurea tablets although insulin treatment may be required in later life. In this review, we outline the key clinical and laboratory characteristics of the common and rarer causes of MODY with the aim of raising awareness of this condition amongst health-care scientists.
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Affiliation(s)
- Tim J McDonald
- Department of Clinical Biochemistry, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
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26
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Abstract
Genome-wide association studies (GWASs) have been heralded as a major advance in biomedical discovery, having identified ~2,000 robust associations with complex diseases since 2005. Despite this success, they have met considerable scepticism regarding their clinical applicability; this scepticism arises from such aspects as the modest effect sizes of associated variants and their unclear functional consequences. There are, however, promising examples of GWAS findings that will or that may soon be translated into clinical care. These examples include variants identified through GWASs that provide strongly predictive or prognostic information or that have important pharmacological implications; these examples may illustrate promising approaches to wider clinical application.
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27
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Rowlan JS, Zhang Z, Wang Q, Fang Y, Shi W. New quantitative trait loci for carotid atherosclerosis identified in an intercross derived from apolipoprotein E-deficient mouse strains. Physiol Genomics 2013; 45:332-42. [PMID: 23463770 PMCID: PMC3633429 DOI: 10.1152/physiolgenomics.00099.2012] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Carotid atherosclerosis is the primary cause of ischemic stroke. To identify genetic factors contributing to carotid atherosclerosis, we performed quantitative trait locus (QTL) analysis using female mice derived from an intercross between C57BL/6J (B6) and BALB/cJ (BALB) apolipoprotein E (Apoe−/−) mice. We started 266 F2 mice on a Western diet at 6 wk of age and fed them the diet for 12 wk. Atherosclerotic lesions in the left carotid bifurcation and plasma lipid levels were measured. We genotyped 130 microsatellite markers across the entire genome. Three significant QTLs, Cath1 on chromosome (Chr) 12, Cath2 on Chr5, and Cath3 on Chr13, and four suggestive QTLs on Chr6, Chr9, Chr17, and Chr18 were identified for carotid lesions. The Chr6 locus replicated a suggestive QTL and was named Cath4. Six QTLs for HDL, three QTLs for non-HDL cholesterol, and three QTLs for triglyceride were found. Of these, a significant QTL for non-HDL on Chr1 at 60.3 cM, named Nhdl13, and a suggestive QTL for HDL on ChrX were new. A significant locus for HDL (Hdlq5) was overlapping with a suggestive locus for carotid lesions on Chr9. A significant correlation between carotid lesion sizes and HDL cholesterol levels was observed in the F2 population (R = −0.153, P = 0.0133). Thus, we have identified several new QTLs for carotid atherosclerosis and the locus on Chr9 may exert effect through interactions with HDL.
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Affiliation(s)
- Jessica S Rowlan
- Departments of Radiology & Medical Imaging and Biochemistry & Molecular Genetics, University of Virginia, Charlottesville, VA 22908, USA
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28
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Skirton H, Goldsmith L, Jackson L, Tibben A. Quality in genetic counselling for presymptomatic testing--clinical guidelines for practice across the range of genetic conditions. Eur J Hum Genet 2013; 21:256-60. [PMID: 22892534 PMCID: PMC3573206 DOI: 10.1038/ejhg.2012.174] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2012] [Revised: 06/25/2012] [Accepted: 07/06/2012] [Indexed: 01/15/2023] Open
Abstract
Presymptomatic testing (PST) is the performance of a genetic test on an asymptomatic individual at risk of a condition to determine whether the person has inherited the disease-causing mutation. Although relevant guidelines exist for specific diseases, there is no overarching protocol that can be adapted to any disorder or clinical setting in which such testing is offered. The objective of this European project was to develop a set of coherent guidelines for PST (for adult-onset monogenic conditions) for use by health professionals working in a range of disciplines, countries or contexts. To ensure the guidelines were appropriate and practice based, we organised a workshop attended by an expert group of practitioners with relevant health professional backgrounds from 11 countries. Models of service for offering PST were presented, the group then discussed different aspects of testing and the standard of care required to ensure that patients were prepared to make decisions and deal with results and consequences. After the workshop, several rounds of consultation were used with a wider group of professionals to refine the guidelines. The guidelines include general principles governing the offer of testing (eg, autonomous choice of the patient), objectives of genetic counselling in this context (eg, facilitation of decision making), logistical considerations (eg, use of trained staff) and topics to be included during counselling discussion with the patient (eg, consequences of both positive and negative outcomes). We recommend the adoption of these guidelines to provide an equitable structure for those seeking PST in any country.
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Affiliation(s)
- Heather Skirton
- Faculty of Health, Education and Society, Plymouth, University, Taunton, UK.
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29
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Fresneau B, Brugières L, Caron O, Moutel G. Ethical Issues in Presymptomatic Genetic Testing for Minors: A dilemma in Li-Fraumeni Syndrome. J Genet Couns 2012; 22:315-22. [DOI: 10.1007/s10897-012-9556-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2012] [Accepted: 11/21/2012] [Indexed: 11/28/2022]
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Godino L, Turchetti D, Skirton H. Genetic counseling: a survey to explore knowledge and attitudes of Italian nurses and midwives. Nurs Health Sci 2012; 15:15-21. [PMID: 23078030 DOI: 10.1111/j.1442-2018.2012.00708.x] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2011] [Revised: 04/07/2012] [Accepted: 04/23/2012] [Indexed: 11/28/2022]
Abstract
In the past, genetic services were delivered to a limited number of families with rare conditions. However, genomics is now being applied to both inherited and common diseases in a range of healthcare settings, and there is a greater need for nurses to understand the basic concepts of genetic health care. The aim of this cross-sectional survey was to explore the understanding and attitudes of Italian nurses toward genetic health care. A questionnaire was completed by 102 nurses and midwives (85% response rate). Of these, 61% believed that genetic counseling was only an informative and advisory process, and 53.9% could not specify to whom the counseling was aimed. When asked to identify nurses' role in genetic health care, 62% of the respondents believed they had no role, although 28% believed that nurses could provide information, support, and counseling. These findings indicate that nurses have only partial knowledge of the issues surrounding genetic health care. To prepare nurses for the post-genomic era, improved genetic education at the undergraduate and postgraduate levels is required.
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Affiliation(s)
- Lea Godino
- Medical Genetic Unit, University of Bologna, Bologna, Italy.
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31
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Inhibition of hepatocyte nuclear factor 1 and 4 alpha (HNF1α and HNF4α) as a mechanism of arsenic carcinogenesis. Arch Toxicol 2012; 87:1001-12. [DOI: 10.1007/s00204-012-0948-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2012] [Accepted: 09/18/2012] [Indexed: 12/21/2022]
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32
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Zhang Z, Rowlan JS, Wang Q, Shi W. Genetic analysis of atherosclerosis and glucose homeostasis in an intercross between C57BL/6 and BALB/cJ apolipoprotein E-deficient mice. ACTA ACUST UNITED AC 2012; 5:190-201. [PMID: 22294616 DOI: 10.1161/circgenetics.111.961649] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND Diabetic patients have an increased risk of developing atherosclerosis and related complications compared with nondiabetic individuals. The increased cardiovascular risk associated with diabetes is due in part to genetic variations that influence both glucose homeostasis and atherosclerotic lesion growth. Mouse strains C57BL/6J (B6) and BALB/cJ (BALB) exhibit distinct differences in fasting plasma glucose and atherosclerotic lesion size when deficient in apolipoprotein E (Apoe(-/-)). Quantitative trait locus (QTL) analysis was performed to determine genetic factors influencing the 2 phenotypes. METHODS AND RESULTS Female F(2) mice (n=266) were generated from an intercross between B6.Apoe(-/-) and BALB.Apoe(-/-) mice and fed a Western diet for 12 weeks. Atherosclerotic lesions in the aortic root, fasting plasma glucose, and body weight were measured. 130 microsatellite markers across the entire genome were genotyped. Four significant QTLs, Ath1 on chromosome (Chr) 1, Ath41 on Chr2, Ath42 on Chr5, and Ath29 on Chr9, and 1 suggestive QTL on Chr4, were identified for atherosclerotic lesion size. Four significant QTLs, Bglu3 and Bglu12 on Chr1, Bglu13 on Chr5, Bglu15 on Chr12, and 2 suggestive QTLs on Chr9 and Chr15 were identified for fasting glucose levels on the chow diet. Two significant QTLs, Bglu3 and Bglu13, and 1 suggestive locus on Chr8 were identified for fasting glucose on the Western diet. One significant locus on Chr1 and 2 suggestive loci on Chr9 and Chr19 were identified for body weight. Ath1 and Ath42 coincided with Bglu3 and Bglu13, respectively, in the confidence interval. CONCLUSIONS We have identified novel QTLs that have major influences on atherosclerotic lesion size and glucose homeostasis. The colocalization of QTLs for atherosclerosis and diabetes suggests possible genetic connections between the 2 diseases.
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Affiliation(s)
- Zhimin Zhang
- Departments of Radiology and Medical Imaging and of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA 22908, USA
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33
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Gardner DSL, Tai ES. Clinical features and treatment of maturity onset diabetes of the young (MODY). Diabetes Metab Syndr Obes 2012; 5:101-8. [PMID: 22654519 PMCID: PMC3363133 DOI: 10.2147/dmso.s23353] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Maturity onset diabetes of the young (MODY) is a heterogeneous group of disorders that result in β-cell dysfunction. It is rare, accounting for just 1%-2% of all diabetes. It is often misdiagnosed as type 1 or type 2 diabetes, as it is often difficult to distinguish MODY from these two forms. However, diagnosis allows appropriate individualized care, depending on the genetic etiology, and allows prognostication in family members. In this review, we discuss features of the common causes of MODY, as well as the treatment and diagnosis of MODY.
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Affiliation(s)
- Daphne SL Gardner
- Department of Endocrinology, Singapore General Hospital, Singapore
- Correspondence: Daphne SL Gardner, Department of Endocrinology, Singapore General Hospital, Block 6, Level 6, Outram Road, Singapore 169608, Tel +65 6321 4523, Email
| | - E Shyong Tai
- Department of Endocrinology, National University Hospital, Singapore
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McDonald TJ, Shields BM, Lawry J, Owen KR, Gloyn AL, Ellard S, Hattersley AT. High-sensitivity CRP discriminates HNF1A-MODY from other subtypes of diabetes. Diabetes Care 2011; 34:1860-2. [PMID: 21700917 PMCID: PMC3142017 DOI: 10.2337/dc11-0323] [Citation(s) in RCA: 69] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Maturity-onset diabetes of the young (MODY) as a result of mutations in hepatocyte nuclear factor 1-α (HNF1A) is often misdiagnosed as type 1 diabetes or type 2 diabetes. Recent work has shown that high-sensitivity C-reactive protein (hs-CRP) levels are lower in HNF1A-MODY than type 1 diabetes, type 2 diabetes, or glucokinase (GCK)-MODY. We aim to replicate these findings in larger numbers and other MODY subtypes. RESEARCH DESIGN AND METHODS hs-CRP levels were assessed in 750 patients (220 HNF1A, 245 GCK, 54 HNF4-α [HNF4A], 21 HNF1-β (HNF1B), 53 type 1 diabetes, and 157 type 2 diabetes). RESULTS hs-CRP was lower in HNF1A-MODY (median [IQR] 0.3 [0.1-0.6] mg/L) than type 2 diabetes (1.40 [0.60-3.45] mg/L; P < 0.001) and type 1 diabetes (1.10 [0.50-1.85] mg/L; P < 0.001), HNF4A-MODY (1.45 [0.46-2.88] mg/L; P < 0.001), GCK-MODY (0.60 [0.30-1.80] mg/L; P < 0.001), and HNF1B-MODY (0.60 [0.10-2.8] mg/L; P = 0.07). hs-CRP discriminated HNF1A-MODY from type 2 diabetes with hs-CRP <0.75 mg/L showing 79% sensitivity and 70% specificity (receiver operating characteristic area under the curve = 0.84). CONCLUSIONS hs-CRP levels are lower in HNF1A-MODY than other forms of diabetes and may be used as a biomarker to select patients for diagnostic HNF1A genetic testing.
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Affiliation(s)
- Tim J McDonald
- Peninsula College of Medicine and Dentistry, Peninsula NIHR Clinical ResearchFacility, Exeter, Devon, UK.
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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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Bazalová Z, Rypácková B, Broz J, Brunerová L, Polák J, Rusavý Z, Treslová L, Andel M. Three novel mutations in MODY and its phenotype in three different Czech families. Diabetes Res Clin Pract 2010; 88:132-8. [PMID: 20132997 DOI: 10.1016/j.diabres.2010.01.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2009] [Revised: 12/19/2009] [Accepted: 01/04/2010] [Indexed: 11/24/2022]
Abstract
AIMS/HYPOTHESIS MODY (Maturity Onset Diabetes of the Young) is an autosomal dominant inherited type of diabetes with significant genetic heterogeneity. New mutations causing MODY are still being found. A genetically confirmed diagnosis of MODY allows application of individualized treatment based on the underlying concrete genetic dysfunction. Detection of novel MODY mutations helps provide a more complete picture of the possible MODY genotypes. MATERIALS AND METHODS We tested 43 adult Czech patients with clinical characteristics of MODY, using direct sequencing of HNF1A (hepatocyte nuclear factor 1-alpha), HNF4A (hepatocyte nuclear factor 4-alpha) and GCK (glucokinase) genes. RESULTS In three Czech families we identified three novel mutations we believe causing MODY-two missense mutations in HNF1A [F268L (c.802T>C) and P291S (c.871C>T)] and one frame shift mutation in GCK V244fsdelG (c.729delG). Some of the novel HNF1A mutation carriers were successfully transferred from insulin to gliclazide, while some of the novel GCK mutation carriers had a good clinical response when switched from insulin or oral antidiabetic drugs to diet. CONCLUSION We describe three novel MODY mutations in three Czech families. The identification of MODY mutations had a meaningful impact on therapy on the mutation carriers.
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Affiliation(s)
- Z Bazalová
- 3rd Faculty of Medicine of Charles University, Centre of Research for Diabetes, Endocrinological Diseases and Clinical Nutrition, Ruská 87, 100 00 Prague 10, Czech Republic.
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Lango Allen H, Johansson S, Ellard S, Shields B, Hertel JK, Raeder H, Colclough K, Molven A, Frayling TM, Njølstad PR, Hattersley AT, Weedon MN. Polygenic risk variants for type 2 diabetes susceptibility modify age at diagnosis in monogenic HNF1A diabetes. Diabetes 2010; 59:266-71. [PMID: 19794065 PMCID: PMC2797932 DOI: 10.2337/db09-0555] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Mutations in the HNF1A gene are the most common cause of maturity-onset diabetes of the young (MODY). There is a substantial variation in the age at diabetes diagnosis, even within families where diabetes is caused by the same mutation. We investigated the hypothesis that common polygenic variants that predispose to type 2 diabetes might account for the difference in age at diagnosis. RESEARCH DESIGN AND METHODS Fifteen robustly associated type 2 diabetes variants were successfully genotyped in 410 individuals from 203 HNF1A-MODY families, from two study centers in the U.K. and Norway. We assessed their effect on the age at diagnosis both individually and in a combined genetic score by summing the number of type 2 diabetes risk alleles carried by each patient. RESULTS We confirmed the effects of environmental and genetic factors known to modify the age at HNF1A-MODY diagnosis, namely intrauterine hyperglycemia (-5.1 years if present, P = 1.6 x 10(-10)) and HNF1A mutation position (-5.2 years if at least two isoforms affected, P = 1.8 x 10(-2)). Additionally, our data showed strong effects of sex (females diagnosed 3.0 years earlier, P = 6.0 x 10(-4)) and age at study (0.3 years later diagnosis per year increase in age, P = 4.7 x 10(-38)). There were no strong individual single nucleotide polymorphism effects; however, in the combined genetic score model, each additional risk allele was associated with 0.35 years earlier diabetes diagnosis (P = 5.1 x 10(-3)). CONCLUSIONS We show that type 2 diabetes risk variants of modest effect sizes reduce the age at diagnosis in HNF1A-MODY. This is one of the first studies to demonstrate that clinical characteristics of a monogenic disease can be modified by common polygenic variants.
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Affiliation(s)
- Hana Lango Allen
- Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, U.K.
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Gilbar R. Genetic testing of children for familial cancers: a comparative legal perspective on consent, communication of information and confidentiality. Fam Cancer 2009; 9:75-87. [PMID: 19609725 DOI: 10.1007/s10689-009-9268-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2009] [Accepted: 07/03/2009] [Indexed: 11/24/2022]
Abstract
Genetic testing of children is the subject of ethical and legal debate. On the one hand, the literature emphasises the personal interests and rights of the individual child. On the other, the interests of the parents and the family as a whole are discussed. English law relies by and large on a patient-centred approach where the child has some say about his/her medical care. The view reflected in Anglo-American guidelines, more specifically, is that testing is potentially harmful and may compromise the child's autonomy and confidentiality. This explains the reluctance to submit children to predictive genetic testing. An analysis of Israeli law, however, reflects a different approach, where the benefit to the child is defined more widely. This accords with the general communitarian position adopted by Israeli law, a legal position that reflects the duality of Israeli society in simultaneously promoting both fundamental human rights and family ethics. In practice, however, there may be little difference, as children in both jurisdictions have access to similar genetic services.
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Affiliation(s)
- Roy Gilbar
- School of Law, Queen Mary College, University of London, Mile End Road, London, E1 4NS, UK.
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The impact of patents on the development of genome-based clinical diagnostics: an analysis of case studies. Genet Med 2009; 11:202-9. [PMID: 19367193 DOI: 10.1097/gim.0b013e3181948faf] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
PURPOSE Fragmented ownership of diagnostic gene patents has the potential to create an "anticommons" in the area of genomic diagnostics, making it difficult and expensive to assemble the patent rights necessary to develop a panel of genetic tests. The objectives of this study were to identify US patents that protect existing panels of genetic tests, describe how (or if) test providers acquired rights to these patents, and determine if fragmented patent ownership has inhibited the commercialization of these panels. METHODS As case studies, we selected four clinical applications of genetic testing (cystic fibrosis, maturity-onset diabetes of the young, long QT syndrome, and hereditary breast cancer) that use tests protected by > or =3 US patents. We summarized publically available information on relevant patents, test providers, licenses, and litigation. RESULTS For each case study, all tests of major genes/mutations were patented, and at least one party held the collective rights to conduct all relevant tests, often as a result of licensing agreements. CONCLUSIONS We did not find evidence that fragmentation of patent rights has inhibited commercialization of genetic testing services. However, as knowledge of genetic susceptibility increases, it will be important to consider the potential consequences of fragmented ownership of diagnostic gene patents.
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Ellard S, Bellanné-Chantelot C, Hattersley AT. Best practice guidelines for the molecular genetic diagnosis of maturity-onset diabetes of the young. Diabetologia 2008; 51:546-53. [PMID: 18297260 PMCID: PMC2270360 DOI: 10.1007/s00125-008-0942-y] [Citation(s) in RCA: 238] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2007] [Accepted: 01/03/2008] [Indexed: 12/03/2022]
Abstract
AIMS/HYPOTHESIS Mutations in the GCK and HNF1A genes are the most common cause of the monogenic forms of diabetes known as 'maturity-onset diabetes of the young'. GCK encodes the glucokinase enzyme, which acts as the pancreatic glucose sensor, and mutations result in stable, mild fasting hyperglycaemia. A progressive insulin secretory defect is seen in patients with mutations in the HNF1A and HNF4A genes encoding the transcription factors hepatocyte nuclear factor-1 alpha and -4 alpha. A molecular genetic diagnosis often changes management, since patients with GCK mutations rarely require pharmacological treatment and HNF1A/4A mutation carriers are sensitive to sulfonylureas. These monogenic forms of diabetes are often misdiagnosed as type 1 or 2 diabetes. Best practice guidelines for genetic testing were developed to guide testing and reporting of results. METHODS A workshop was held to discuss clinical criteria for testing and the interpretation of molecular genetic test results. The participants included 22 clinicians and scientists from 13 countries. Draft best practice guidelines were formulated and edited using an online tool (http://www.coventi.com). RESULTS An agreed set of clinical criteria were defined for the testing of babies, children and adults for GCK, HNF1A and HNF4A mutations. Reporting scenarios were discussed and consensus statements produced. CONCLUSIONS/INTERPRETATION Best practice guidelines have been established for monogenic forms of diabetes caused by mutations in the GCK, HNF1A and HNF4A genes. The guidelines include both diagnostic and predictive genetic tests and interpretation of the results.
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Affiliation(s)
- S Ellard
- Institute of Biomedical and Clinical Science, Peninsula Medical School, Exeter, UK.
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Duncan RE, Gillam L, Savulescu J, Williamson R, Rogers JG, Delatycki MB. "You're one of us now": young people describe their experiences of predictive genetic testing for Huntington disease (HD) and familial adenomatous polyposis (FAP). AMERICAN JOURNAL OF MEDICAL GENETICS PART C-SEMINARS IN MEDICAL GENETICS 2008; 148C:47-55. [PMID: 18189288 DOI: 10.1002/ajmg.c.30158] [Citation(s) in RCA: 63] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
There has been much debate about the psychosocial effects of predictive genetic testing in minors. The majority of this debate has been theoretical, with little empirical evidence published. We conducted in-depth interviews with 18 young people who had undergone testing, to explore the range of harms and benefits that they perceived were associated with their tests. Participants were eight individuals who were tested for Huntington disease (two gene-positive, six gene-negative) and ten who were tested for familial adenomatous polyposis (five gene-positive, five gene-negative). At the time of their test they ranged from 10 to 25 years of age. When interviewed they ranged from 14 to 26 years of age. Harms described included knowledge of future illness, witnessing distress in parents, negative effects on family relationships and friendships, effects upon employment and school, experiencing regret, feeling guilty and having to confront difficult issues. Benefits included knowledge of gene-negative status, relief from uncertainty, witnessing relief in parents, feeling able to plan for the future, positive effects on family relationships and friendships, feeling empowered and experiencing a sense of clarity about what is important in life. Harms were described in relation to gene-negative test results, as were benefits in relation to gene-positive test results. The testing process itself had several positive and negative effects for young people, distinct from the actual test result. Future research concerning the effects of predictive genetic testing in young people must remain broad and should aim to measure the beneficial as well as the harmful effects that resonate for young people themselves.
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Affiliation(s)
- Rony E Duncan
- Centre for Adolescent Health, Murdoch Childrens Research Institute, Melbourne, Australia.
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Liljeström B, Tuomi T, Isomaa B, Sarelin L, Aktan-Collan K, Kääriäinen H. Adolescents at risk for MODY3 diabetes prefer genetic testing before adulthood. Diabetes Care 2007; 30:1571-3. [PMID: 17351287 DOI: 10.2337/dc06-1744] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Brita Liljeström
- Research Program for Molecular Medicine, Folkhälsan Research Center, Helsinki University and Genetic Institute, Helsinki, Finland.
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Porter JR, Rangasami JJ, Ellard S, Gloyn AL, Shields BM, Edwards J, Anderson JM, Shaw NJ, Hattersley AT, Frayling TM, Plunkett M, Barrett TG. Asian MODY: are we missing an important diagnosis? Diabet Med 2006; 23:1257-60. [PMID: 17054605 DOI: 10.1111/j.1464-5491.2006.01958.x] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
AIMS Maturity onset diabetes of the young (MODY) is a monogenic form of diabetes where correct diagnosis alters treatment, prognosis and genetic counselling. The first UK survey of childhood MODY identified 20 White, but no Asian children with MODY. We hypothesized that MODY causes diabetes in UK Asians, but is underdiagnosed. METHODS Children with dominant family histories of diabetes were recruited. Direct sequencing for mutations in the two most common MODY genes; HNF1A (TCF1) and GCK was performed in autoantibody-negative probands. We also compared MODY testing data for Asian and White cases from the Exeter MODY database, to 2001 UK census data. RESULTS We recruited 30 families and identified three Asian families with MODY gene mutations (two HNF1A, one GCK) and three White UK families (two HNF1A, one GCK). Heterozygous MODY phenotypes were similar in Asians and Whites. Only eight (0.5%) of 1369 UK referrals for MODY testing were known to be Asian, but in 2001 Asians represented 4% of the English/Welsh population and have a higher prevalence of diabetes. CONCLUSIONS We identified three cases of childhood MODY in UK Asians and demonstrated reduced rates of MODY testing in Asians, which has negative implications for treatment. It is unclear why this is. MODY should be considered in autoantibody-negative Asian diabetes patients lacking evidence of insulin resistance.
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Affiliation(s)
- J R Porter
- Institute of Child Health, Birmingham Children's Hospital, Birmingham, UK.
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44
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Affiliation(s)
- Y Homan
- University Children's Hospital, Vienna, Austria
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45
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Duncan RE, Delatycki MB. Predictive genetic testing in young people for adult-onset conditions: where is the empirical evidence? Clin Genet 2006; 69:8-16; discussion 17-20. [PMID: 16451127 DOI: 10.1111/j.1399-0004.2005.00505.x] [Citation(s) in RCA: 57] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Predictive genetic testing in young people for severe, adult-onset conditions is advised against in current guidelines. Despite this, there has been considerable debate regarding the issue. Some perceive such testing as too potentially harmful to allow. Others perceive it as an opportunity for the promotion of benefit, an opportunity even for the prevention of harm. The only way to resolve this theoretical debate is to collect empirical data related to the effects of such testing when it occurs. However, more than 15 years after the debate began, there is virtually no such empirical evidence available. The reasons for this lack of evidence appear to relate to the rarity of such testing, which when it occurs is not studied systematically. Additionally, clinicians performing such tests may feel vulnerable in sharing the outcomes, given that such testing is contrary to current recommendations. We propose a way forward that entails the provision of tests to mature minors, where clinicians deem this appropriate. These tests should be performed as part of an international research collaboration, facilitated by one leading group.
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Affiliation(s)
- R E Duncan
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia
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Abstract
This article provides an overview of current thinking regarding genetics and diabetes (type 1, type 2, and gestational diabetes mellitus),including a selective look at a few implicated gene variants. This article explores how this information might be applied in current and future clinical practice to (1) predict who is at risk for diabetes and its complications, (2) identify and intervene to prevent or delay the development of diabetes in persons at risk, (3) identify patients with diabetes in an early stage and intervene to prevent later complications,and (4) individualize therapy for patients with diabetes to improve outcomes. The article concludes with some general thoughts about genetics and diabetes prevention in the future.
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Affiliation(s)
- Astrid M Newell
- Oregon State Genetics Program, Oregon Department of Human Services, 800 NE Oregon Street, Suite 825, Portland, OR 97232, USA.
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Malecki MT. Type 2 diabetes mellitus and its complications: from the molecular biology to the clinical practice. Rev Diabet Stud 2004; 1:5-8. [PMID: 17491659 PMCID: PMC1783531 DOI: 10.1900/rds.2004.1.5] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
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McCarthy MI, Hattersley AT. Molecular diagnostics in monogenic and multifactorial forms of type 2 diabetes. Expert Rev Mol Diagn 2001; 1:403-12. [PMID: 11901855 DOI: 10.1586/14737159.1.4.403] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Type 2 diabetes represents a major and increasing contributor to morbidity and mortality worldwide. Of the world's population, 10% either have Type 2 diabetes, or will develop it during their lifetime. Realization that inherited factors play a leading role in determining individual susceptibility to this condition provides a framework for improved molecular understanding of disease pathogenesis through susceptibility gene discovery. In particular, identification and characterization of these susceptibility variants should lead to improved targeting of available preventative and therapeutic measures and increasingly 'personalized' therapy. This article surveys present knowledge about the genetic basis of Type 2 diabetes and discusses the current and future role of genetic diagnostics, with an emphasis on lessons learned from study of monogenic forms of the disease.
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Affiliation(s)
- M I McCarthy
- Imperial College (Hammersmith Campus), London, UK.
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