Nature Communications (Jan 2020)
Heritability estimates for 361 blood metabolites across 40 genome-wide association studies
- Fiona A. Hagenbeek,
- René Pool,
- Jenny van Dongen,
- Harmen H. M. Draisma,
- Jouke Jan Hottenga,
- Gonneke Willemsen,
- Abdel Abdellaoui,
- Iryna O. Fedko,
- Anouk den Braber,
- Pieter Jelle Visser,
- Eco J. C. N. de Geus,
- Ko Willems van Dijk,
- Aswin Verhoeven,
- H. Eka Suchiman,
- Marian Beekman,
- P. Eline Slagboom,
- Cornelia M. van Duijn,
- BBMRI Metabolomics Consortium,
- Amy C. Harms,
- Thomas Hankemeier,
- Meike Bartels,
- Michel G. Nivard,
- Dorret I. Boomsma
Affiliations
- Fiona A. Hagenbeek
- Department of Biological Psychology, Vrije Universiteit Amsterdam
- René Pool
- Department of Biological Psychology, Vrije Universiteit Amsterdam
- Jenny van Dongen
- Department of Biological Psychology, Vrije Universiteit Amsterdam
- Harmen H. M. Draisma
- Department of Biological Psychology, Vrije Universiteit Amsterdam
- Jouke Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam
- Gonneke Willemsen
- Department of Biological Psychology, Vrije Universiteit Amsterdam
- Abdel Abdellaoui
- Department of Biological Psychology, Vrije Universiteit Amsterdam
- Iryna O. Fedko
- Department of Biological Psychology, Vrije Universiteit Amsterdam
- Anouk den Braber
- Department of Biological Psychology, Vrije Universiteit Amsterdam
- Pieter Jelle Visser
- Alzheimer Center Amsterdam, Department of Neurology, VU Amsterdam, Amsterdam UMC
- Eco J. C. N. de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam
- Ko Willems van Dijk
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center
- Aswin Verhoeven
- Center for Proteomics and Metabolomics, Leiden University Medical Center
- H. Eka Suchiman
- Department of Biomedical Data Sciences, Section of Molecular Epidemiology, Leiden University Medical Center
- Marian Beekman
- Department of Biomedical Data Sciences, Section of Molecular Epidemiology, Leiden University Medical Center
- P. Eline Slagboom
- Department of Biomedical Data Sciences, Section of Molecular Epidemiology, Leiden University Medical Center
- Cornelia M. van Duijn
- Department of Epidemiology, Erasmus Medical Center
- BBMRI Metabolomics Consortium
- Amy C. Harms
- Division of Analytical Biosciences, Leiden Academic Center for Drug Research, Leiden University and The Netherlands Metabolomics Centre
- Thomas Hankemeier
- Division of Analytical Biosciences, Leiden Academic Center for Drug Research, Leiden University and The Netherlands Metabolomics Centre
- Meike Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam
- Michel G. Nivard
- Department of Biological Psychology, Vrije Universiteit Amsterdam
- Dorret I. Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam
- DOI
- https://doi.org/10.1038/s41467-019-13770-6
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 11
Abstract
Blood metabolite levels are under the influence of environmental and genetic factors. Here, Hagenbeek et al. perform heritability estimations for metabolite measures and determine the contribution of known metabolite loci to metabolite levels using data from 40 genome-wide association studies.
