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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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    Figure 1

    Outline of the study. All 1,209 participants were tested for GAD65, IA-2, and IAA antibodies (Ab). A total of 153 individuals were selected for genetic testing with suspected MD based on one of the following criteria: antibody negative, IAA+ after introduction of insulin treatment, no insulin requirement, positive family history (one first-degree relative or diabetes in three generations), syndromic diabetes.

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  • Table 1

    Basic clinical characteristics of the cohort at diabetes diagnosis and comparison according to autoimmunity status

    AllAb− groupOnly IAA+ groupOther*P (comparing Ab− and only IAA+ groups)
    % (n)15356.2 (86)42.5 (65)4.8 (2)NA
    Female, % (n)47.7 (73)53.5 (46)40 (26)50 (1)0.1
    Age at diabetes diagnosis, months106 ± 68124 ± 7182 ± 56135 ± 16<0.001
    Glycemia, mmol/L15.8 ± 9.414.6 ± 10.918.3 ± 6.59.4 ± 2.20.028
    HbA1c, % (mmol/mol)8.2 ± 2.3 (66 ± 2)7.9 ± 2.9 (63 ± 9)9.1 ± 2.9 (76 ± 9)7.1 ± 0.8 (54 ± 1)0.98
    C-peptide, pmol/L800 ± 2,100†1,000 ± 2,600‡400 ± 400§1,000‖0.107
    Ketosis, % (n)51.4 (74 of 144)44.6 (37 of 83)62.7 (37 of 59)00.033
    OHA, % (n)3.9 (5 of 129)6.9 (5 of 72)00<0.001
    Insulin, % (n)65.1 (84 of 129)47.2 (34 of 72)90.9 (50 of 55)0<0.001
    Insulin dose, units/kg/day0.76 ± 0.460.7 ± 0.40.9 ± 0.5—0.135
    Family history of diabetes, % (n)47.7 (73 of 153)55.8 (48 of 86)36.9 (24 of 65)50 (1 of 2)0.021
    Variants found in MODY genes, % (n)27.5 (42 of 153)40.7 (35 of 86)9.2 (6 of 65)50 (1 of 2)<0.001
    • Data are mean ± SD unless otherwise indicated. The 153 individuals selected for genetic analysis were divided into three groups according to their autoimmunity status (antibody negative, only IAA+, and GAD65+), and clinical characteristics were compared. Ab, antibody; OHA, oral hypoglycemic agents.

    • * One patient GAD65+ and one patient GAD65+ and IAA+.

    • †Valid data for 57 of 153 cases.

    • ‡Valid data for 37 of 86 cases.

    • §Valid data for 20 of 65 cases.

    • ‖Valid data for 1 of 2 cases.

  • Table 2

    Variants identified in additional genes

    Patient no.GeneDNA changeProtein effectPolyPhen-2SIFTClassgnomAD allele frequencyMolecular functionRNA expression in human β-cells (RPKM)*
    43CASP10c.104delp.Asp35Valfs*10——4—Protease0.2
    44DACH1c.454_456dupp.Ser152dup——4—DNA binding6.9
    45GCKRc.1484T>Gp.Val495Gly0.9604—Carbohydrate binding0.1
    6†HGFACc.711C>Gp.Cys237Trp1040.00026Protease0
    46HGFACc.711C>Gp.Cys237Trp1040.00026Protease0
    18†KCNQ1c.498C>Ap.Phe166Leu0.9670.054—Potassium channel0.3
    47MC4Rc.230C>Tp.Ser77Leu0.85504—G-protein–coupled receptor0
    48RFX2c.1894G>Ap.Ala632Thr0.99904—DNA binding3.9
    49RREB1c.3218C>Tp.Ser1073Leu0.9880.024—DNA binding9
    50SLC5A1c.932A>Tp.Lys311Met0.99904—Glucose:sodium symporter3.5
    51SLC5A1c.1415T>Cp.Leu472Pro0.89204—Glucose:sodium symporter3.5
    52SLC5A1c.1415T>Cp.Leu472Pro0.89204—Glucose:sodium symporter3.5
    53TMPRSS6c.2263A>Gp.Lys755Glu0.9980.014—Peptidase4.4
    54ZBED3c.211C>Gp.Leu71Val0.97704—DNA binding8.3
    • Summary of all class 4 (likely pathogenic) variants identified in genes not yet associated with MD. Classification of the variants according to the methodology of Richards et al. (12). PolyPhen-2 score considered pathogenic if >0.47 and SIFT <0.05. gnomAD, Genome Aggregation Database; RPKM, reads per kilobase per million mapped reads.

    • * Nica et al. (13).

    • †The variants in the HGFAC and KCNQ1 genes are not likely to be causative for diabetes because the two identified carriers also had a GCK variant and a classical GCK diabetes phenotype. The HGFAC variant may also be considered to be too frequent in the gnomAD database to be an MD variant (26).

  • Table 3

    Comparison of patients with successful and unsuccessful treatment switch

    Patients with successful treatment change (n = 9)Patients with unsuccessful treatment change (n = 7)P**
    Age at diabetes diagnosis, months178 (1; 262)120 (1; 159)0.203
    Duration of diabetes until treatment change, months54 (16; 267)221 (30; 336)0.031
    Age at treatment change, months264 (17; 313)321 (160; 347)0.023
    HbA1c before treatment change, % [mmol/mol]6.8 (5.5; 11.6) [51 (37; 103)]8.7 (7.3; 13.1) [72 (56; 120)]0.080
    HbA1c after treatment change, % [mmol/mol]6.4 (5.6; 10.2) [46 (38; 88)]11.6 (7.6; 12.8) [103 (60; 116)]0.011
    C-peptide before treatment change, pmol/L#498 (220; 1,140)65 (1; 252)0.005
    Insulin treatment, n (%)8 (89)7 (100)1$
    Insulin dose before treatment change, units/kg/day0.5 (0.2; 1.3)0.9 (0.6; 1.1)0.117
    • Data are median (minimum; maximum) unless otherwise indicated. Summary of the 16 patients who were offered treatment switch after genetic diagnosis. Nine patients (six with HNF1A and three with KCNJ11 diabetes) could successfully be treated with sulfonylureas. Seven patients (three with HNF4A, two with ABCC8, one with HNF1A, and one with KCNJ11 diabetes) had to restart insulin therapy.

    • *Mann-Whitney U test.

    • $Fisher exact test.

    • #One missing value in both groups.

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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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