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

Most genetic studies of glucose levels have been done on fasting samples, which can be difficult to obtain. Here, the authors identify 156 genetic loci controlling the physiological variation of glucose levels in healthy non-fasting individuals, demonstrating that the results non-fasting samples can...

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Main Authors: Zhen Qiao, Julia Sidorenko, Joana A. Revez, Angli Xue, Xueling Lu, Katri Pärna, Harold Snieder, Lifelines Cohort Study, Peter M. Visscher, Naomi R. Wray, Loic Yengo
Format: Article
Language:English
Published: Nature Portfolio 2023-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-36013-1
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author Zhen Qiao
Julia Sidorenko
Joana A. Revez
Angli Xue
Xueling Lu
Katri Pärna
Harold Snieder
Lifelines Cohort Study
Peter M. Visscher
Naomi R. Wray
Loic Yengo
author_facet Zhen Qiao
Julia Sidorenko
Joana A. Revez
Angli Xue
Xueling Lu
Katri Pärna
Harold Snieder
Lifelines Cohort Study
Peter M. Visscher
Naomi R. Wray
Loic Yengo
author_sort Zhen Qiao
collection DOAJ
description Most genetic studies of glucose levels have been done on fasting samples, which can be difficult to obtain. Here, the authors identify 156 genetic loci controlling the physiological variation of glucose levels in healthy non-fasting individuals, demonstrating that the results non-fasting samples can be used to predict fasting glucose levels.
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spelling doaj.art-6fde8113956e402caba8686de06ed2d12023-01-29T12:16:15ZengNature PortfolioNature Communications2041-17232023-01-0114111110.1038/s41467-023-36013-1Estimation and implications of the genetic architecture of fasting and non-fasting blood glucoseZhen Qiao0Julia Sidorenko1Joana A. Revez2Angli Xue3Xueling Lu4Katri Pärna5Harold Snieder6Lifelines Cohort StudyPeter M. Visscher7Naomi R. Wray8Loic Yengo9Garvan Institute of Medical ResearchInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandGarvan Institute of Medical ResearchDepartment of Epidemiology, University of Groningen, University Medical Center GroningenDepartment of Epidemiology, University of Groningen, University Medical Center GroningenDepartment of Epidemiology, University of Groningen, University Medical Center GroningenInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandMost genetic studies of glucose levels have been done on fasting samples, which can be difficult to obtain. Here, the authors identify 156 genetic loci controlling the physiological variation of glucose levels in healthy non-fasting individuals, demonstrating that the results non-fasting samples can be used to predict fasting glucose levels.https://doi.org/10.1038/s41467-023-36013-1
spellingShingle Zhen Qiao
Julia Sidorenko
Joana A. Revez
Angli Xue
Xueling Lu
Katri Pärna
Harold Snieder
Lifelines Cohort Study
Peter M. Visscher
Naomi R. Wray
Loic Yengo
Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose
Nature Communications
title Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose
title_full Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose
title_fullStr Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose
title_full_unstemmed Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose
title_short Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose
title_sort estimation and implications of the genetic architecture of fasting and non fasting blood glucose
url https://doi.org/10.1038/s41467-023-36013-1
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