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Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose.
Qiao, Zhen; Sidorenko, Julia; Revez, Joana A; Xue, Angli; Lu, Xueling; Pärna, Katri; Snieder, Harold; Visscher, Peter M; Wray, Naomi R; Yengo, Loic.
Affiliation
  • Qiao Z; Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
  • Sidorenko J; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
  • Revez JA; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
  • Xue A; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
  • Lu X; Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
  • Pärna K; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
  • Snieder H; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
  • Visscher PM; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
  • Wray NR; Institute of Genomics, University of Tartu, Tartu, Estonia.
  • Yengo L; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
Nat Commun ; 14(1): 451, 2023 01 27.
Article in En | MEDLINE | ID: mdl-36707517
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Blood Glucose / Diabetes Mellitus, Type 2 Limits: Humans Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2023 Document type: Article Affiliation country: Australia

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Blood Glucose / Diabetes Mellitus, Type 2 Limits: Humans Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2023 Document type: Article Affiliation country: Australia