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Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose

Author

Listed:
  • Zhen Qiao

    (Garvan Institute of Medical Research
    The University of Queensland)

  • Julia Sidorenko

    (The University of Queensland)

  • Joana A. Revez

    (The University of Queensland)

  • Angli Xue

    (Garvan Institute of Medical Research
    The University of Queensland)

  • Xueling Lu

    (University of Groningen, University Medical Center Groningen
    Shantou University Medical College)

  • Katri Pärna

    (University of Groningen, University Medical Center Groningen
    University of Tartu)

  • Harold Snieder

    (University of Groningen, University Medical Center Groningen)

  • Peter M. Visscher

    (The University of Queensland)

  • Naomi R. Wray

    (The University of Queensland
    The University of Queensland)

  • Loic Yengo

    (The University of Queensland)

Abstract

The genetic regulation of post-prandial glucose levels is poorly understood. Here, we characterise the genetic architecture of blood glucose variably measured within 0 and 24 h of fasting in 368,000 European ancestry participants of the UK Biobank. We found a near-linear increase in the heritability of non-fasting glucose levels over time, which plateaus to its fasting state value after 5 h post meal (h2 = 11%; standard error: 1%). The genetic correlation between different fasting times is > 0.77, suggesting that the genetic control of glucose is largely constant across fasting durations. Accounting for heritability differences between fasting times leads to a ~16% improvement in the discovery of genetic variants associated with glucose. Newly detected variants improve the prediction of fasting glucose and type 2 diabetes in independent samples. Finally, we meta-analysed summary statistics from genome-wide association studies of random and fasting glucose (N = 518,615) and identified 156 independent SNPs explaining 3% of fasting glucose variance. Altogether, our study demonstrates the utility of random glucose measures to improve the discovery of genetic variants associated with glucose homeostasis, even in fasting conditions.

Suggested Citation

  • Zhen Qiao & Julia Sidorenko & Joana A. Revez & Angli Xue & Xueling Lu & Katri Pärna & Harold Snieder & Peter M. Visscher & Naomi R. Wray & Loic Yengo, 2023. "Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36013-1
    DOI: 10.1038/s41467-023-36013-1
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