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. 2024 Mar 6;628(8006):130–138. doi: 10.1038/s41586-024-07148-y

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — a, Manhattan plot summarizing the metabolic trait associations from inverse variance-weighted GWAS meta-analysis. Loci that do not overlap with those identified in the previous large-scale NMR metabolomics GWAS^4,5 are shown in blue and green. Only genome-wide significant SNPs (two-sided P < 1.8 × 10⁻⁹) are shown and −log₁₀(P values) were capped at 300. b,c, Numbers of associated metabolic traits at the 276 associated genomic regions are shown separately for genomic regions in which the lead trait was a lipid, lipoprotein or fatty acid trait (b; 155 loci; median 24 traits per locus) and for those in which the lead trait was a non-lipid trait (c; 121 loci; median one trait per locus). d, Results of the GWAS for glucose for the fasted (top; total n = 68,559) and non-fasted (bottom; total n = 58,112) cohorts. The red line indicates the threshold for genome-wide significance. The 500-kb regions around lead SNPs in the fasted cohorts are highlighted.