Genomic atlas of the plasma metabolome prioritizes metabolites implicated in human diseases
By Yiheng Chen, Tianyuan Lu, Ulrika Pettersson-Kymmer, I. Stewart, G. Butler-Laporte, T. Nakanishi, A. Cerani, Kevin Y. H. Liang, Satoshi Yoshiji, J. Willett and 9 more. Nature Genetics, 2023
847 citations recorded by the source corpus.
Metabolic processes can influence disease risk and provide therapeutic targets. By conducting genome-wide association studies of 1,091 blood metabolites and 309 metabolite ratios, we identified associations with 690 metabolites at 248 loci and associations with 143 metabolite ratios at 69 loci. Integrating metabolite-gene and gene expression information identified 94 effector genes for 109 metabolites and 48 metabolite ratios. Using Mendelian randomization (MR), we identified 22 metabolites and 20 metabolite ratios having estimated causal effect on 12 traits and diseases, including orotate for estimated bone mineral density, α-hydroxyisovalerate for body mass index and ergothioneine for inflammatory bowel disease and asthma. We further measured the orotate level in a separate cohort and demonstrated that, consistent with MR, orotate levels were positively associated with incident hip fractures. This study provides a valuable resource describing the genetic architecture of metabolites and delivers insights into their roles in common diseases, thereby offering opportunities for therapeutic targets. Genome-wide association studies comprising 1,091 metabolites and 309 metabolite ratios in 8,299 individuals from the Canadian Longitudinal Study on Aging provide insights into the genetic architecture of metabolites and their role in human diseases.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/84f19d3de54ca39a4e42b7df6f5357c8b0de45eb
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Citations in the corpus
- MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation (2024, background): “It has become possible recently with the availability of many metabolomic genome-wide association studies (mG-WAS) that link metabolites and genotypes ( 14–16 ).”