@article{b19ba0bb843f4c6ba48699cea8b97184,
title = "Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose",
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.",
author = "{Lifelines Cohort Study} and Zhen Qiao and Julia Sidorenko and Revez, {Joana A.} and Angli Xue and Xueling Lu and Katri P{\"a}rna and Harold Snieder and Visscher, {Peter M.} and Wray, {Naomi R.} and Loic Yengo",
note = "Funding Information: This research was supported by the Australian Research Council (DE200100425, FL180100072) and the Australian National Health and Medical Research Council (1173790 and 1113400). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding bodies. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. This research has been conducted using the UK Biobank Resource under project 12505. The LifeLines Cohort Study, and generation and management of GWAS genotype data for the LifeLines Cohort Study is supported by the UMCG Genetics Lifelines Initiative (UGLI), the Netherlands Organization of Scientific Research NWO (grant 175.010.2007.006), the Economic Structure Enhancing Fund (FES) of the Dutch government, the Ministry of Economic Affairs, the Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports, the Northern Netherlands Collaboration of Provinces (SNN), the Province of Groningen, University Medical Center Groningen, the University of Groningen, Dutch Kidney Foundation and Dutch Diabetes Research Foundation. The authors wish to acknowledge the services of the Lifelines Cohort Study, the contributing research centers delivering data to Lifelines, and all the study participants. The authors are grateful to Yuanhao Yang, Yang Wu and Guiyan Ni for helpful discussions and comments on the manuscript. Publisher Copyright: {\textcopyright} 2023, The Author(s).",
year = "2023",
month = jan,
day = "27",
doi = "10.1038/s41467-023-36013-1",
language = "English",
volume = "14",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "Nature Publishing Group",
}