Author
Listed:
- Fiona A. Hagenbeek
(Vrije Universiteit Amsterdam
Amsterdam Public Health Research Institute)
- René Pool
(Vrije Universiteit Amsterdam
Amsterdam Public Health Research Institute)
- Jenny Dongen
(Vrije Universiteit Amsterdam
Amsterdam Public Health Research Institute)
- Harmen H. M. Draisma
(Vrije Universiteit Amsterdam)
- Jouke Hottenga
(Vrije Universiteit Amsterdam)
- Gonneke Willemsen
(Vrije Universiteit Amsterdam)
- Abdel Abdellaoui
(Vrije Universiteit Amsterdam
Amsterdam UMC, University of Amsterdam)
- Iryna O. Fedko
(Vrije Universiteit Amsterdam)
- Anouk Braber
(Vrije Universiteit Amsterdam
Alzheimer Center Amsterdam, Department of Neurology, VU Amsterdam, Amsterdam UMC
Amsterdam Neuroscience)
- Pieter Jelle Visser
(Alzheimer Center Amsterdam, Department of Neurology, VU Amsterdam, Amsterdam UMC
Maastricht University)
- Eco J. C. N. Geus
(Vrije Universiteit Amsterdam
Amsterdam Public Health Research Institute
Amsterdam Neuroscience)
- Ko Willems van Dijk
(Leiden University Medical Center
Leiden University Medical Center
Leiden University Medical Center)
- Aswin Verhoeven
(Leiden University Medical Center)
- H. Eka Suchiman
(Leiden University Medical Center)
- Marian Beekman
(Leiden University Medical Center)
- P. Eline Slagboom
(Leiden University Medical Center)
- Cornelia M. Duijn
(Erasmus Medical Center)
- Amy C. Harms
(Leiden Academic Center for Drug Research, Leiden University and The Netherlands Metabolomics Centre)
- Thomas Hankemeier
(Leiden Academic Center for Drug Research, Leiden University and The Netherlands Metabolomics Centre)
- Meike Bartels
(Vrije Universiteit Amsterdam
Amsterdam Public Health Research Institute
Amsterdam Neuroscience)
- Michel G. Nivard
(Vrije Universiteit Amsterdam
Amsterdam Public Health Research Institute
Amsterdam Neuroscience)
- Dorret I. Boomsma
(Vrije Universiteit Amsterdam
Amsterdam Public Health Research Institute
Amsterdam Neuroscience)
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.
Suggested Citation
Fiona A. Hagenbeek & René Pool & Jenny Dongen & Harmen H. M. Draisma & Jouke Hottenga & Gonneke Willemsen & Abdel Abdellaoui & Iryna O. Fedko & Anouk Braber & Pieter Jelle Visser & Eco J. C. N. Geus &, 2020.
"Heritability estimates for 361 blood metabolites across 40 genome-wide association studies,"
Nature Communications, Nature, vol. 11(1), pages 1-11, December.
Handle:
RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-019-13770-6
DOI: 10.1038/s41467-019-13770-6
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Citations
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Cited by:
- Fiona A. Hagenbeek & Jana S. Hirzinger & Sophie Breunig & Susanne Bruins & Dmitry V. Kuznetsov & Kirsten Schut & Veronika V. Odintsova & Dorret I. Boomsma, 2023.
"Maximizing the value of twin studies in health and behaviour,"
Nature Human Behaviour, Nature, vol. 7(6), pages 849-860, June.
- Ananyo Choudhury & Jean-Tristan Brandenburg & Tinashe Chikowore & Dhriti Sengupta & Palwende Romuald Boua & Nigel J. Crowther & Godfred Agongo & Gershim Asiki & F. Xavier Gómez-Olivé & Isaac Kisiangan, 2022.
"Meta-analysis of sub-Saharan African studies provides insights into genetic architecture of lipid traits,"
Nature Communications, Nature, vol. 13(1), pages 1-13, December.
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