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Genetics/Genomes/Proteomics/Metabolomics

Systematic Genetic Study of Youth With Diabetes in a Single Country Reveals the Prevalence of Diabetes Subtypes, Novel Candidate Genes, and Response to Precision Therapy

  1. Ingrida Stankute1,
  2. Rasa Verkauskiene2,
  3. Jean-Louis Blouin3,4,
  4. Philippe Klee5,6,
  5. Rimante Dobrovolskiene1,
  6. Evalda Danyte2,
  7. Mirjam Dirlewanger5,6,
  8. Federico Santoni3,
  9. Dovile Razanskaite-Virbickiene2,
  10. Dale Marciulionyte2,
  11. Edita Jasinskiene1,
  12. Giedre Mockeviciene1 and
  13. Valerie M. Schwitzgebel5,6⇑
  1. 1Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
  2. 2Institute of Endocrinology, Lithuanian University of Health Sciences, Kaunas, Lithuania
  3. 3Department of Genetic Medicine and Development, Faculty of Medicine, University of Geneva, Geneva, Switzerland
  4. 4Department of Genetic Medicine and Laboratory, University Hospitals of Geneva, Geneva, Switzerland
  5. 5Pediatric Endocrine and Diabetes Unit, Department of Pediatrics, Gynecology and Obstetrics, University Hospitals of Geneva, Geneva, Switzerland
  6. 6Diabetes Center of the Faculty of Medicine, University of Geneva, Geneva, Switzerland
  7. 7Service of Endocrinology, Diabetes and Metabolism, Department of Medicine, University Hospitals of Lausanne, Lausanne, Switzerland
  1. Corresponding author: Valerie M. Schwitzgebel, valerie.schwitzgebel{at}unige.ch
Diabetes 2020 May; 69(5): 1065-1071. https://doi.org/10.2337/db19-0974
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Abstract

Identifying gene variants causing monogenic diabetes (MD) increases understanding of disease etiology and allows for implementation of precision therapy to improve metabolic control and quality of life. Here, we aimed to assess the prevalence of MD in youth with diabetes in Lithuania, uncover potential diabetes-related gene variants, and prospectively introduce precision treatment. First, we assessed all pediatric and most young-adult patients with diabetes in Lithuania (n = 1,209) for diabetes-related autoimmune antibodies. We then screened all antibody-negative patients (n = 153) using targeted high-throughput sequencing of >300 potential candidate genes. In this group, 40.7% had MD, with the highest percentage (100%) in infants (diagnosis at ages 0–12 months), followed by those diagnosed at ages >1–18 years (40.3%) and >18–25 years (22.2%). The overall prevalence of MD in youth with diabetes in Lithuania was 3.5% (1.9% for GCK diabetes, 0.7% for HNF1A, 0.2% for HNF4A and ABCC8, 0.3% for KCNJ11, and 0.1% for INS). Furthermore, we identified likely pathogenic variants in 11 additional genes. Microvascular complications were present in 26% of those with MD. Prospective treatment change was successful in >50% of eligible candidates, with C-peptide >252 pmol/L emerging as the best prognostic factor.

Footnotes

  • This article contains Supplementary Data online at https://diabetes.diabetesjournals.org/lookup/suppl/doi:10.2337/db19-0974/-/DC1.

  • F.S. is currently affiliated with Service of Endocrinology, Diabetes and Metabolism, Department of Medicine, University Hospitals of Lausanne, Lausanne, Switzerland.

  • Received September 29, 2019.
  • Accepted January 27, 2020.
  • © 2020 by the American Diabetes Association
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Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at https://www.diabetesjournals.org/content/license.

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Systematic Genetic Study of Youth With Diabetes in a Single Country Reveals the Prevalence of Diabetes Subtypes, Novel Candidate Genes, and Response to Precision Therapy
Ingrida Stankute, Rasa Verkauskiene, Jean-Louis Blouin, Philippe Klee, Rimante Dobrovolskiene, Evalda Danyte, Mirjam Dirlewanger, Federico Santoni, Dovile Razanskaite-Virbickiene, Dale Marciulionyte, Edita Jasinskiene, Giedre Mockeviciene, Valerie M. Schwitzgebel
Diabetes May 2020, 69 (5) 1065-1071; DOI: 10.2337/db19-0974

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Systematic Genetic Study of Youth With Diabetes in a Single Country Reveals the Prevalence of Diabetes Subtypes, Novel Candidate Genes, and Response to Precision Therapy
Ingrida Stankute, Rasa Verkauskiene, Jean-Louis Blouin, Philippe Klee, Rimante Dobrovolskiene, Evalda Danyte, Mirjam Dirlewanger, Federico Santoni, Dovile Razanskaite-Virbickiene, Dale Marciulionyte, Edita Jasinskiene, Giedre Mockeviciene, Valerie M. Schwitzgebel
Diabetes May 2020, 69 (5) 1065-1071; DOI: 10.2337/db19-0974
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