Genetics and Not Shared Environment Explains Familial Resemblance in Adult Metabolomics Data

BBMRI Metabol Consortium, Rene Pool*, Fiona A. Hagenbeek, Anne M. Hendriks, Jenny van Dongen, Gonneke Willemsen, Eco de Geus, Ko Willems van Dijk, Aswin Verhoeven, H. E. D. Suchiman, Marian Beekman, P. Eline Slagboom, Amy C. Harms, Thomas Hankemeier, Dorret Boomsma

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Metabolites are small molecules involved in cellular metabolism where they act as reaction substrates or products. The term 'metabolomics' refers to the comprehensive study of these molecules. The concentrations of metabolites in biological tissues are under genetic control, but this is limited by environmental factors such as diet. In adult mono- and dizygotic twin pairs, we estimated the contribution of genetic and shared environmental influences on metabolite levels by structural equation modeling and tested whether the familial resemblance for metabolite levels is mainly explained by genetic or by environmental factors that are shared by family members. Metabolites were measured across three platforms: two based on proton nuclear magnetic resonance techniques and one employing mass spectrometry. These three platforms comprised 237 single metabolic traits of several chemical classes. For the three platforms, metabolites were assessed in 1407, 1037 and 1116 twin pairs, respectively. We carried out power calculations to establish what percentage of shared environmental variance could be detected given these sample sizes. Our study did not find evidence for a systematic contribution of shared environment, defined as the influence of growing up together in the same household, on metabolites assessed in adulthood. Significant heritability was observed for nearly all 237 metabolites; significant contribution of the shared environment was limited to 6 metabolites. The top quartile of the heritability distribution was populated by 5 of the 11 investigated chemical classes. In this quartile, metabolites of the class lipoprotein were significantly overrepresented, whereas metabolites of classes glycerophospholipids and glycerolipids were significantly underrepresented.

Original languageEnglish
Pages (from-to)145-155
Number of pages11
JournalTwin research and human genetics
Volume23
Issue number3
DOIs
Publication statusPublished - Jun-2020

Keywords

  • Classical twin design
  • enrichment analysis
  • heritability
  • metabolite classes
  • shared environment
  • GENOME-WIDE ASSOCIATION
  • TWIN
  • HERITABILITY
  • METABOLITES
  • AGE
  • EPIDEMIOLOGY
  • PROFILES
  • POWER

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