Heritability estimates for 361 blood metabolites across 40 genome-wide association studies
Title | Heritability estimates for 361 blood metabolites across 40 genome-wide association studies |
Publication Type | Journal Article |
Year of Publication | 2020 |
Authors | Hagenbeek, FA, Pool, R, van Dongen, J, Draisma, HHM, Hottenga, JJan, Willemsen, G, Abdellaoui, A, Fedko, IO, Braber, Aden, Visser, PJelle, de Geus, EJCN, van Dijk, KWillems, Verhoeven, A, H Suchiman, E, Beekman, M, P Slagboom, E, van Duijn, CM, Consortium, BBMRIMetabolomi, Harms, AC, Hankemeier, T, Bartels, M, Nivard, MG, Boomsma, DI |
Journal | Nature Communications |
Volume | 11 |
Pagination | 39 |
Abstract | Metabolomics 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. |
DOI | 10.1038/s41467-019-13770-6 |