Print Email Facebook Twitter 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 Author Hagenbeek, Fiona A. (Vrije Universiteit Amsterdam; Amsterdam Public Health) Bomer, N. (University Medical Center Groningen) van Hilten, J. A. (Sanquin Research) Fu, J. (University Medical Center Groningen) van der Heijden, A. A.W.A. (Amsterdam UMC) van der Spek, A. (Erasmus MC) Boersma, E. (Thorax Centre; Erasmus MC) van den Akker, E.B. (TU Delft Pattern Recognition and Bioinformatics; Leiden University Medical Center; Leiden Computational Biology Center) Reinders, M.J.T. (TU Delft Pattern Recognition and Bioinformatics; Leiden Computational Biology Center; Leiden University Medical Center) Date 2019-12-01 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 (h2 total), and the proportion of heritability captured by known metabolite loci (h2 Metabolite-hits) for 309 lipids and 52 organic acids. Our study reveals significant differences in h2 Metabolite-hits among different classes of lipids and organic acids. Furthermore, phosphatidylcholines with a high degree of unsaturation have higher h2 Metabolite-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. To reference this document use: http://resolver.tudelft.nl/uuid:d6ddaefb-c174-45d3-956e-0b5a3fbadb04 DOI https://doi.org/10.1038/s41467-019-13770-6 ISSN 2041-1723 Source Nature Communications, 11 (1) Part of collection Institutional Repository Document type journal article Rights © 2019 , Fiona A. Hagenbeek, N. Bomer, J. A. van Hilten, J. Fu, A. A.W.A. van der Heijden, A. van der Spek, E. Boersma, E.B. van den Akker, M.J.T. Reinders, More Authors Files PDF s41467_019_13770_6.pdf 1006.89 KB Close viewer /islandora/object/uuid:d6ddaefb-c174-45d3-956e-0b5a3fbadb04/datastream/OBJ/view