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Nature Research, Nature Communications, 1(11), 2020

DOI: 10.1038/s41467-019-13770-6

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Heritability estimates for 361 blood metabolites across 40 genome-wide association studies

Journal article published in 2020 by René Pool, Jenny van Dongen, Jouke Jan Hottenga, Fiona Alysa Hagenbeek ORCID, Gonneke Willemsen, J. A. van der Bom, Harmen H. M. Draisma, Ko Willems van Dijk, Eco J. C. N. de Geus, J. A. van Hilten, H. Eka Suchiman, P. Eline Slagboom, Anouk den Braber, Pieter Jelle Visser, Iryna O. Fedko ORCID and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

AbstractMetabolomics examines the small molecules involved in cellular metabolism. Approximately 50% of total phenotypic differences in metabolite levels is due to genetic variance, but heritability estimates differ across metabolite classes. We perform a review of all genome-wide association and (exome-) sequencing studies published between November 2008 and October 2018, and identify >800 class-specific metabolite loci associated with metabolite levels. In a twin-family cohort (N = 5117), these metabolite loci are leveraged to simultaneously estimate total heritability (h2total), and the proportion of heritability captured by known metabolite loci (h2Metabolite-hits) for 309 lipids and 52 organic acids. Our study reveals significant differences in h2Metabolite-hits among different classes of lipids and organic acids. Furthermore, phosphatidylcholines with a high degree of unsaturation have higher h2Metabolite-hits estimates than phosphatidylcholines with low degrees of unsaturation. This study highlights the importance of common genetic variants for metabolite levels, and elucidates the genetic architecture of metabolite classes.