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Genetics/Genomes/Proteomics/Metabolomics

Sixty-Five Common Genetic Variants and Prediction of Type 2 Diabetes

  1. Philippa J. Talmud1⇑,
  2. Jackie A. Cooper1,
  3. Richard W. Morris2,
  4. Frank Dudbridge3,
  5. Tina Shah4,
  6. Jorgen Engmann4,
  7. Caroline Dale3,
  8. Jon White5,
  9. Stela McLachlan6,
  10. Delilah Zabaneh5,
  11. Andrew Wong7,
  12. Ken K. Ong7,8,
  13. Tom Gaunt9,10,
  14. Michael V. Holmes4,11,
  15. Debbie A. Lawlor9,10,
  16. Marcus Richards7,
  17. Rebecca Hardy7,
  18. Diana Kuh7,
  19. Nicholas Wareham8,
  20. Claudia Langenberg4,8,
  21. Yoav Ben-Shlomo10,
  22. S. Goya Wannamethee2,
  23. Mark W.J. Strachan12,
  24. Meena Kumari4,
  25. John C. Whittaker13,
  26. Fotios Drenos1,10,
  27. Mika Kivimaki4,
  28. Aroon D. Hingorani4,14,
  29. Jacqueline F. Price6 and
  30. Steve E. Humphries1
  31. on behalf of the UCLEB Consortium
  1. 1Centre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, London, U.K.
  2. 2Department of Primary Care and Population Health, University College London, Royal Free Campus, London, U.K.
  3. 3Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, U.K.
  4. 4Department of Epidemiology and Public Health, University College London Institute of Epidemiology and Health Care, University College London, London, U.K.
  5. 5University College London Genetics Institute, Department of Genetics, Environment and Evolution, London, U.K.
  6. 6Centre for Population Health Sciences, University of Edinburgh, Edinburgh, U.K.
  7. 7Medical Research Council Unit for Lifelong Health and Ageing at University College London, London, U.K.
  8. 8Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, U.K.
  9. 9School of Social and Community Medicine, University of Bristol, Bristol, U.K.
  10. 10Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, U.K.
  11. 11Division of Transplant Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
  12. 12Metabolic Unit, Western General Hospital, Edinburgh, U.K.
  13. 13Genetics Division, Research and Development, GlaxoSmithKline, Harlow, U.K.
  14. 14Centre for Clinical Pharmacology, University College London, London, U.K.
  1. Corresponding author: Philippa J. Talmud, p.talmud{at}ucl.ac.uk.
Diabetes 2015 May; 64(5): 1830-1840. https://doi.org/10.2337/db14-1504
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Article Figures & Tables

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  • Figure 1
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    Figure 1

    Forest plot showing the 10% detection rate for all seven studies for (A) the Framingham phenotypic score alone and (B) Framingham T2D score plus the externally weighted gene score. DR10, 10% detection rate.

  • Figure 2
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    Figure 2

    The distribution of the 65-SNP gene score, weighted by the external published β-values in the combined studies. Superimposed are the log ORs for T2D.

  • Figure 3
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    Figure 3

    The receiver operating curve for the seven combined studies.

  • Figure 4
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    Figure 4

    Scatter plot showing the correlation between Framingham T2D score and Framingham T2D score plus the externally weighted gene score. A: Those who remained T2D free. B: Incident T2D cases.

Tables

  • Figures
  • Table 1

    Total number of individuals, T2D rates, and baseline characteristics of subjects for incident T2D in the seven studies

    BRHSBWHHSEASMRC NSHDWHIIELSACAPSTotal
    Number included in analysis2,3171,8547032,4103,0451,6851,28013,294
    Number with incident T2D (%)150 (6.5)103 (5.6)16 (2.3)118 (4.9)219 (7.2)74 (4.4)124 (9.7)804 (6.1)
    Length of follow-up, years207121010415.511.2
    Rate per 1,000 person-years3.27.91.94.97.211.06.35.4
    Age, years49.1 (5.6)70.8 (5.3)64.5 (5.6)53.0 (0)48.9 (6.0)73.6 (9.1)56.7 (4.5)57.4 (11.2)
    Sex, % male (n)100% (2,317)0% (0)46.8% (329)49.9% (1,203)76.7% (2,336)51.8% (873)100% (1,280)62.7% (8,338)
    BMI, kg/m225.4 (2.9)27.5 (4.8)25.3 (3.6)27.3 (4.6)25.2 (3.5)27.2 (4.2)26.6 (3.6)26.3 (4.1)
    HDL, mmol/L1.15 (0.24)1.63 (0.44)1.47 (0.37)1.68 (0.49)1.42 (0.40)1.51 (0.38)1.03 (0.25)1.42 (0.44)
    Triglyceride, mmol/L*1.87 (0.81)1.71 (0.76)1.35 (0.58)1.82 (1.01)1.22 (0.67)1.56 (0.77)1.70 (0.85)1.58 (0.83)
    Systolic blood pressure, mmHg144.6 (20.5)154.3 (27.2)142.7 (23.4)138.0 (21.2)121.1 (13.9)146.1 (20.4)145.9 (22.5)139.6 (23.6)
    Diastolic blood pressure, mmHg82.2 (13.3)83.1 (13.0)77.1 (12.1)85.8 (13.0)80.1 (9.7)77.9 (11.5)84.5 (11.7)81.9 (12.3)
    Fasting glucose, mmol/L*5.43 (0.92)5.79 (0.70)5.49 (0.56)5.94† (0.78)5.19 (0.45)5.38 (0.77)5.20 (0.67)5.48 (0.76)
    • Data are presented as mean (SD) unless otherwise indicated. Patients with type 1 diabetes or latent autoimmune diabetes of adulthood were excluded.

    • *Geometric mean (approximate SD).

    • †Calculated from nonfasting HbA1c.

  • Table 2

    Quintiles of FORS and externally weighted 65-gene score in the combined studies

    QuintileFORSExternally weighted gene scoreFORS and externally weighted
gene score
    11.001.001.00
    22.83 (1.93–4.15)1.37 (1.05–1.79)2.62 (1.76–3.92)
    34.28 (2.97–6.17)1.36 (1.04–1.78)4.73 (3.23–6.92)
    47.76 (5.39–11.16)2.01 (1.56–2.58)7.74 (5.32–11.27)
    521.07 (14.86–29.88)2.70 (2.12–3.43)22.59 (15.75–32.41)
    Per quintile2.07 (1.94–2.21); P = 2.60 × 10−1061.28 (1.21–1.34); P = 9.03 × 10−202.12 (1.99–2.27); P = 7.71 × 10−111
    Per SD2.70 (2.48–2.93); P = 5.40 × 10−1211.43 (1.33–1.54); P = 2.25 × 10−222.83 (2.61–3.08); P = 3.08 × 10−132
    • Data are presented as OR (95% CI).

  • Table 3

    AROC (95% CI) and the false-positive detection rates for the combined data

    OR (95% CI)
top vs. bottom quintileAROC for combined studies
(95% CI)Detection rate for 5% false positive
(95% CI)Detection rate for 10% false positive
(95% CI)
    Externally weighted gene score2.70 (2.12–3.43)0.60 (0.58–0.62)11.75% (9.54–13.95)19.89% (17.14–22.63)
    FORS21.07 (14.86–29.88)0.75 (0.73–0.77)18.56% (15.9–21.22)30.67% (27.51–33.82)
    FORS + externally weighted gene score22.59 (15.75–32.41)0.76 (0.75–0.78)*23.14% (20.23–26.05)37.28% (33.95–40.61)
    • *P = 0.003. P value derived from the comparison with FORS alone.

  • Table 4

    NRI based on addition of gene score to FORS, calculated using risk cutoffs of 5, 10, and 15% for 10-year risk

    Predicted risk FORSNumber of peopleReclassifiedNet correctly reclassified
    ≤55–9.910–14.9≥15Increased riskDecreased risk
    A. For the whole cohort
    Plus externally weighted gene score: no diabetes (n = 18,715.81)1,782.232,138.631.9% (1.2–32.6)
     <510,406.62582.0036.280
     5–9.91,064.521,967.29542.56118.24
     10–14.935.16647.23682.39503.15
     ≥156.5578.89306.281,738.65
    Plus externally weighted gene score: incident diabetes (n = 1,121.86)185.96116.496.2% (3.2–9.2)
     <5279.0134.1310
     5–9.936.8081.2055.9715.82
     10–14.9045.9371.2479.04
     ≥15011.7322.03387.96
    B. BMI tertile 1 (BMI <24.5)
    Plus externally weighted gene score: no diabetes (n = 6,267.82)448.8616.522.7% (1.7–3.7)
     <54,202.1495.9520
     5–9.9540.06834.1232.6563.3
     10–14.9135.2736.0854.9
     ≥1507.1333.06130.18
    Plus externally weighted gene score: incident diabetes (n = 147.53)45.889.1324.9% (15.0–34.8)
     <556300
     5–9.96.1321.0626.327.82
     10–14.9032.218.74
     ≥1500013.25
    C. BMI tertile 2 (BMI 24.5–27.4)
    Plus externally weighted gene score: no diabetes (n = 6,526.66)706.02715.150.1% (−1.0 to 1.3)
     <53,684.61267.5322.950
     5–9.9339.91675.31185.8234.24
     10–14.920.83253.93266.22195.48
     ≥156.5522.5671.37479.35
    Plus externally weighted gene score: incident diabetes (n = 308.31)58.2622.9311.5% (5.7–17.2)
     <5112.1717.1300
     5–9.97.1323.6312.256
     10–14.9011.6618.6422.88
     ≥15013.1472.68
    D. BMI tertile 3 (BMI ≥27.5)
    Plus externally weighted gene score: no diabetes (n = 5,921.35)627.42806.963.0% (1.8–4.3)
     <52,519.87218.5211.330
     5–9.9184.55457.88124.0920.71
     10–14.913.33358.03380.1252.77
     ≥15049.2201.851,129.12
    Plus externally weighted gene score: incident diabetes (n = 666.02)81.8284.43−0.4% (−4.2 to 3.4)
     <5110.831410
     5–9.923.5536.5217.42
     10–14.9031.2650.3947.42
     ≥15010.7318.89302.03
    • A. Values are weighted to take into account sampling design, thus accounting for the fact that the number of individuals is not an integer. P value for heterogeneity = 0.002. I2 = 71.1%. NRI (95% CI) = 8.1% (5.0–11.2), no adjustment for study; P = 3.31 × 10−7. NRI (95% CI) = 6.6% (3.6–9.7), results from meta-analysis of individual study results (fixed effects); P = 2.0 × 10−5. NRI (95% CI) = 7.7% (1.7–13.8), results from meta-analysis of individual study results (random effects); P = 0.01. B. NRI (95% CI) = 27.6% (17.7–37.5); P = 4.82 × 10–8. C. NRI (95% CI) = 11.6% (5.8–17.4); P = 9.88 × 10–5. D. Values are weighted to take into account sampling design, thus accounting for the fact that the number of individuals is not an integer. NRI (95% CI) = 2.6% (−1.4 to 6.6); P = 0.20.

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Sixty-Five Common Genetic Variants and Prediction of Type 2 Diabetes
Philippa J. Talmud, Jackie A. Cooper, Richard W. Morris, Frank Dudbridge, Tina Shah, Jorgen Engmann, Caroline Dale, Jon White, Stela McLachlan, Delilah Zabaneh, Andrew Wong, Ken K. Ong, Tom Gaunt, Michael V. Holmes, Debbie A. Lawlor, Marcus Richards, Rebecca Hardy, Diana Kuh, Nicholas Wareham, Claudia Langenberg, Yoav Ben-Shlomo, S. Goya Wannamethee, Mark W.J. Strachan, Meena Kumari, John C. Whittaker, Fotios Drenos, Mika Kivimaki, Aroon D. Hingorani, Jacqueline F. Price, Steve E. Humphries
Diabetes May 2015, 64 (5) 1830-1840; DOI: 10.2337/db14-1504

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Sixty-Five Common Genetic Variants and Prediction of Type 2 Diabetes
Philippa J. Talmud, Jackie A. Cooper, Richard W. Morris, Frank Dudbridge, Tina Shah, Jorgen Engmann, Caroline Dale, Jon White, Stela McLachlan, Delilah Zabaneh, Andrew Wong, Ken K. Ong, Tom Gaunt, Michael V. Holmes, Debbie A. Lawlor, Marcus Richards, Rebecca Hardy, Diana Kuh, Nicholas Wareham, Claudia Langenberg, Yoav Ben-Shlomo, S. Goya Wannamethee, Mark W.J. Strachan, Meena Kumari, John C. Whittaker, Fotios Drenos, Mika Kivimaki, Aroon D. Hingorani, Jacqueline F. Price, Steve E. Humphries
Diabetes May 2015, 64 (5) 1830-1840; DOI: 10.2337/db14-1504
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