In:
Nature Communications, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2020-01-07)
Kurzfassung:
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 (h 2 total ), and the proportion of heritability captured by known metabolite loci (h 2 Metabolite-hits ) for 309 lipids and 52 organic acids. Our study reveals significant differences in h 2 Metabolite-hits among different classes of lipids and organic acids. Furthermore, phosphatidylcholines with a high degree of unsaturation have higher h 2 Metabolite-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.
Materialart:
Online-Ressource
ISSN:
2041-1723
DOI:
10.1038/s41467-019-13770-6
Sprache:
Englisch
Verlag:
Springer Science and Business Media LLC
Publikationsdatum:
2020
ZDB Id:
2553671-0
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