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Heritability estimates for 361 blood metabolites across 40 genome-wide association studies.

Fiona A HagenbeekRené PoolJenny Van DongenHarmen H M DraismaJouke Jan HottengaGonneke WillemsenAbdel AbdellaouiIryna O FedkoAnouk den BraberPieter Jelle VisserEco J C N de GeusKo Willems van DijkAswin VerhoevenEka H E D SuchimanMarian BeekmanPieternella Eline SlagboomCornelia M van Duijnnull nullAmy C HarmsThomas HankemeierMeike BartelsMichel G NivardDorret I Boomsma
Published in: Nature communications (2020)
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.
Keyphrases
  • genome wide association
  • genome wide
  • ms ms
  • randomized controlled trial
  • mass spectrometry
  • dna methylation
  • copy number
  • single cell
  • genome wide association study