Heritability estimates for 361 blood metabolites across 40 genome-wide association studies
- Hagenbeek, F.A. (Fiona A.)
- Pool, R. (Reńe)
- Dongen, J. (Jenny) van
- Draisma, G. (Gerrit)
- Hottenga, J.J. (Jouke Jan)
- Willemsen, G. (Gonneke)
- Abdellaoui, A. (Abdel)
- Fedko, I.O. (Iryna O.)
- Braber, A. (Anouk) den
- Visser, P.J. (Pieter Jelle)
- de Geus, E.J.C.N. (Eco J. C. N.)
- Willems van Dijk, K. (Ko)
- Verhoeven, A. (Aswin)
- Suchiman, H.E. (H. Eka)
- Beekman, M. (Marian)
- Slagboom, P.E. (Eline)
- Duijn, C.M. (Cornelia) van
- Barkey Wolf, J.J.H. (J. J.H.)
- Cats, D. (D.)
- Amin, N. (N.)
- Beulens, J.W.J. (Joline)
- van der Bom, J.A. (J. A.)
- Bomer, N. (Nils)
- Demirkan, A. (Ayşe)
- van Hilten, J.A. (J. A.)
- Meessen, J.M.T.A. (J. M.T.A.)
- Moed, H. (Heleen)
- Fu, J. (J.)
- Onderwater, G.L.J. (G. L.J.)
- Rutters, F. (F.)
- So-Osman, C. (Cynthia)
- Flier, W.M. (Wiesje) van der
- Heijden, A.A.W.A. (Amber A. W.) van der
- Spek, A. (Ashley) van der
- Asselbergs, F.W. (F. W.)
- Boersma, H. (Eric)
- Elders, P.M. (P. M.)
- Geleijnse, J.M. (Marianne)
- Ikram, M.A. (Arfan)
- Kloppenburg, M. (Margreet)
- Meulenbelt, I. (I.)
- Mooijaart, S.P. (Simon)
- Nelissen, R.G.H.H. (Rob)
- Netea, M.G. (Mihai)
- Penninx, B.W.J.H. (Brenda)
- Stehouwer, C.D. (Coen)
- Teunissen, C.E. (Charlotte)
- Terwindt, G.M. (Gisela)
- ‘t Hart, L.M. (L. M.)
- Maagdenberg, A.M.J.M. (Arn)
- Harst, P. (Pim) van der
- van der Horst, I.C.C. (I. C.C.)
- Kallen, C.J. van der
- van Greevenbroek, M.M.J. (M. M.J.)
- Spil, W.E. (Willem) van
- Wijmenga, C. (C.)
- Zwinderman, A.H. (A. H.)
- Zhernikova, A. (A.)
- Jukema, J.W. (Jan Wouter)
- Mei, H. (H.)
- Slofstra, M. (M.)
- Swertz, M. (M.)
- Akker, E.B. (Erik) van den
- Deelen, J. (Joris)
- Reinders, M.J.T. (M. J.T.)
- Harms, A.C. (Amy C.)
- Hankemeier, T. (Thomas)
- Bartels, M. (Meike)
- Nivard, M. (Michel)
- Boomsma, D.I. (Dorret)
Publication date
January 2020
DOI Publisher
Springer Science and Business Media LLC Language
EnglishAbstract
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
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