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The genomic architecture of blood metabolites based on a decade of genome-wide analyses

Authors :
Aswin Verhoeven
Thomas Hankemeier
P. Eline Slagboom
Jouke-Jan Hottenga
Pieter Jelle Visser
Iryna O. Fedko
Marian Beekman
Anouk den Braber
Fiona A. Hagenbeek
Abdel Abdellaoui
Gonneke Willemsen
Jenny van Dongen
Cornelia M. van Duijn
Ko Willems van Dijk
René Pool
Michel G. Nivard
Dorret I. Boomsma
Amy C. Harms
Eco J. C. de Geus
Meike Bartels
Harmen H.M. Draisma
H. Eka D. Suchiman
Publication Year :
2019
Publisher :
Cold Spring Harbor Laboratory, 2019.

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 and lipid species. We performed a review of all genetic association studies, and identified > 800 class-specific metabolite loci that influence metabolite levels. In a twin-family cohort (N= 5,117), these metabolite loci were 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 revealed significant differences inh2Metabolite-hitsamong different classes of lipids and organic acids. Furthermore, phosphatidylcholines with a high degree of unsaturation had higherh2Metabolite-hitsestimates than phosphatidylcholines with a low degree of unsaturation. This study highlights the importance of common genetic variants for metabolite levels, and elucidates the genetic architecture of metabolite classes and lipid species.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....e83a8400875bc1cb2457948e8900f7f6
Full Text :
https://doi.org/10.1101/661769