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Genome-wide characterization of circulating metabolic biomarkers

Abstract:
Genome-wide association analyses using high-throughput metabolomics platforms have led to novel insights into the biology of human metabolism. This detailed knowledge of the genetic determinants of systemic metabolism has been pivotal for uncovering how genetic pathways influence biological mechanisms and complex diseases. Here we present a genome-wide association study for 233 circulating metabolic traits quantified by nuclear magnetic resonance spectroscopy in up to 136,016 participants from 33 cohorts. We identify more than 400 independent loci and assign probable causal genes at two-thirds of these using manual curation of plausible biological candidates. We highlight the importance of sample and participant characteristics that can have significant effects on genetic associations. We use detailed metabolic profiling of lipoprotein- and lipid-associated variants to better characterize how known lipid loci and novel loci affect lipoprotein metabolism at a granular level. We demonstrate the translational utility of comprehensively phenotyped molecular data, characterizing the metabolic associations of intrahepatic cholestasis of pregnancy. Finally, we observe substantial genetic pleiotropy for multiple metabolic pathways and illustrate the importance of careful instrument selection in Mendelian randomization analysis, revealing a putative causal relationship between acetone and hypertension. Our publicly available results provide a foundational resource for the community to examine the role of metabolism across diverse diseases.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41586-024-07148-y

Authors


Publisher:
Springer Nature
Journal:
Nature More from this journal
Place of publication:
England
Publication date:
2024-03-06
Acceptance date:
2024-02-01
DOI:
EISSN:
1476-4687
ISSN:
0028-0836
Pmid:
38448586


Language:
English
Keywords:
Pubs id:
1770655
Local pid:
pubs:1770655
Deposit date:
2024-03-14
ARK identifier:

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