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

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 proporti... Mehr ...

Verfasser: Hagenbeek, Fiona A
Pool, René
van Dongen, Jenny
Draisma, Harmen H M
Jan Hottenga, Jouke
Willemsen, Gonneke
Abdellaoui, Abdel
Fedko, Iryna O
den Braber, Anouk
de Geus, Eco J C N
Bartels, Meike
Nivard, Michel G
Boomsma, Dorret I
Dokumenttyp: Artikel
Erscheinungsdatum: 2020
Reihe/Periodikum: Hagenbeek , F A , Pool , R , van Dongen , J , Draisma , H H M , Jan Hottenga , J , Willemsen , G , Abdellaoui , A , Fedko , I O , den Braber , A , de Geus , E J C N , Bartels , M , Nivard , M G , Boomsma , D I & BBMRI Metabolomics Consortium 2020 , ' Heritability estimates for 361 blood metabolites across 40 genome-wide association studies ' , Nature Communications , vol. 11 , no. 1 , 39 , pp. 1-11 . https://doi.org/10.1038/s41467-019-13770-6
Schlagwörter: /dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_ / name=Netherlands Twin Register (NTR)
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27230171
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://research.vu.nl/en/publications/c01e9b12-4acc-403b-a8ec-abe4494e63d1

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.