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

Abstract:
= 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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41467-023-36013-1
Publication website:
https://pure.rug.nl/ws/files/717379649/s41467-023-36013-1.pdf

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Author
ORCID:
0000-0002-4401-774X
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Role:
Author
ORCID:
0000-0003-1494-6772
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Author
ORCID:
0000-0003-3204-5396
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ORCID:
0000-0002-0285-0426
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Role:
Author
ORCID:
0009-0004-3492-0419


Publisher:
Nature Research
Journal:
Nature Communications More from this journal
Volume:
14
Issue:
1
Pages:
451-451
Article number:
451
Publication date:
2023-01-27
DOI:
EISSN:
2041-1723
ISSN:
2041-1723


Language:
English
Keywords:
Pubs id:
1375990
Local pid:
pubs:1375990
Source identifiers:
W4318309563
Deposit date:
2026-05-08
ARK identifier:
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