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Predicting Diabetes Using Genetic Risk Scores

Identical and Nonidentical Twins: Risk and Factors Involved in Development of Islet Autoimmunity and Type 1 Diabetes

  1. Taylor M. Triolo1,
  2. Alexandra Fouts1,
  3. Laura Pyle2,
  4. Liping Yu1,
  5. Peter A. Gottlieb1,
  6. Andrea K. Steck1, and
  7. the Type 1 Diabetes TrialNet Study Group*
    1. 1Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
    2. 2Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO
    1. Corresponding author: Taylor M. Triolo, taylor.triolo{at}childrenscolorado.org
    Diabetes Care 2019 Feb; 42(2): 192-199. https://doi.org/10.2337/dc18-0288
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      Figure 1

      Development of autoantibodies by sibling status: development of GADA (A), development of IA-2A (B), and development of IAA (C). FS, full siblings; IT, identical twins; NT, nonidentical twins.

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      Figure 2

      Development of type 1 diabetes (T1D) by initial autoantibody status: autoantibody negative (A), single autoantibody positive (B), and multiple autoantibody positive (C). FS, full siblings; IT, identical twins; NT, nonidentical twins.

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    • Table 1

      Prevalence and autoantibody outcomes at screening by sibling status (N = 48,026)

      IT (%)NT (%)FS (%)IT vs. NT OR (95% CI)P value (IT vs. NT)NT vs. FS OR (95% CI)P value (NT vs. FS)
      GADA20.25.64.74.31 (2.76–6.73)<0.00010.84 (0.59–1.18)0.302
      IA-2A9.43.32.23.01 (1.67–5.42)0.00011.52 (0.98–2.36)0.06
      IAA11.94.62.52.78 (1.66–4.67)<0.00011.92 (1.32–2.81)0.0005
      ≥1 positive Ab23.38.36.23.39 (2.28–5.02)<0.00011.36 (1.02–1.80)0.0365
      ≥2 positive Ab12.94.02.43.58 (2.11–6.08)<0.00011.72 (1.15–2.58)0.0079
      Both IA-2A and IAA positive5.92.10.92.99 (1.43–6.24)0.00232.23 (1.28–3.89)0.0038
      • Ab, islet autoantibody; FS, full siblings; IT, identical twins; NT, nonidentical twins.

    • Table 2

      Effects of genetic and environmental factors on autoantibody outcomes (N = 47,729)

      CovariateOR (95% CI)P value
      GADA as outcome
       Age1.00 (0.995–1.005)0.9664
       Genetic factors (G)33.89 (11.54–99.48)<0.0001
       Environmental factors (E)0.922 (0.614–1.385)0.697
       Sex (female)0.97 (0.89–1.05)0.453
      IA-2A as outcome
       Age0.97 (0.96–0.98)<0.0001
       Genetic factors (G)16.82 (4.10–69.72)0.0001
       Environmental factors (E)1.19 (0.71–2.00)0.521
       Sex (female)0.79 (0.70–0.89)0.0001
      IAA as outcome
       Age0.95 (0.94–0.96)<0.0001
       Genetic factors (G)15.28 (4.37–53.49)<0.0001
       Environmental factors (E)1.48 (0.95–2.32)0.085
       Sex (female)0.75 (0.67–0.84)<0.0001
      ≥1 positive autoantibody as outcome
       Age1.00 (0.99–1.00)0.033
       Genetic factors (G)19.78 (7.64–51.21)<0.0001
       Environmental factors (E)1.07 (0.77–1.51)0.681
       Sex (female)0.89 (0.83–0.96)0.002
      ≥2 positive autoantibodies as outcome
       Age0.96 (0.95–0.97)<0.0001
       Genetic factors (G)26.68 (7.43–95.84)<0.0001
       Environmental factors (E)1.28 (0.80–2.07)0.307
       Sex (female)0.82 (0.73–0.92)0.0008
      Both IA-2A and IAA positive as outcome
       Age0.92 (0.91–0.94)<0.0001
       Genetic factors (G)19.61 (3.29–116.87)0.0011
       Environmental factors (E)1.67 (0.86–3.23)0.1286
       Sex (female)0.67 (0.57–0.83)<0.0001
      • Logistic regression models testing the association of autoantibody outcomes, G (average fraction of genes shared identical by descent with affected proband), and E (environmental factors unique to twins [i.e., shared uterine environment]) adjusted for age and sex.

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    Diabetes Care: 42 (2)

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    Identical and Nonidentical Twins: Risk and Factors Involved in Development of Islet Autoimmunity and Type 1 Diabetes
    Taylor M. Triolo, Alexandra Fouts, Laura Pyle, Liping Yu, Peter A. Gottlieb, Andrea K. Steck, the Type 1 Diabetes TrialNet Study Group
    Diabetes Care Feb 2019, 42 (2) 192-199; DOI: 10.2337/dc18-0288

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    Identical and Nonidentical Twins: Risk and Factors Involved in Development of Islet Autoimmunity and Type 1 Diabetes
    Taylor M. Triolo, Alexandra Fouts, Laura Pyle, Liping Yu, Peter A. Gottlieb, Andrea K. Steck, the Type 1 Diabetes TrialNet Study Group
    Diabetes Care Feb 2019, 42 (2) 192-199; DOI: 10.2337/dc18-0288
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