Journal article
Genetic and environmental determinants of variation in the plasma lipidome of older Australian twins
eLife, Vol.9, e58954
2020
Abstract
The critical role of blood lipids in a broad range of health and disease states is well recognised but less explored is the interplay of genetics and environment within the broader blood lipidome. We examined heritability of the plasma lipidome among healthy older-aged twins (75 monozygotic/55 dizygotic pairs) enrolled in the Older Australian Twins Study (OATS) and explored corresponding gene expression and DNA methylation associations. 27/209 lipids (13.3%) detected by liquid chromatography-coupled mass spectrometry (LC-MS) were significantly heritable under the classical ACE twin model (h2 = 0.28–0.59), which included ceramides (Cer) and triglycerides (TG). Relative to non-significantly heritable TGs, heritable TGs had a greater number of associations with gene transcripts, not directly associated with lipid metabolism, but with immune function, signalling and transcriptional regulation. Genome-wide average DNA methylation (GWAM) levels accounted for variability in some non-heritable lipids. We reveal a complex interplay of genetic and environmental influences on the ageing plasma lipidome.
Details
- Title
- Genetic and environmental determinants of variation in the plasma lipidome of older Australian twins
- Authors/Creators
- M.W.K. Wong (Author/Creator)A. Thalamuthu (Author/Creator) - UNSW SydneyN. Braidy (Author/Creator) - UNSW SydneyK.A. Mather (Author/Creator) - UNSW SydneyY. Liu (Author/Creator) - UNSW SydneyL. Ciobanu (Author/Creator) - UNSW SydneyB.T. Baune (Author/Creator) - The University of AdelaideN.J. Armstrong (Author/Creator) - Murdoch UniversityJ. Kwok (Author/Creator)P. Schofield (Author/Creator) - Neuroscience Research AustraliaM.J. Wright (Author/Creator) - The University of QueenslandD. Ames (Author/Creator) - The University of MelbourneR. Pickford (Author/Creator) - UNSW SydneyT. Lee (Author/Creator) - UNSW SydneyA. Poljak (Author/Creator) - UNSW SydneyP.S. Sachdev (Author/Creator) - UNSW Sydney
- Publication Details
- eLife, Vol.9, e58954
- Publisher
- eLife Sciences Publications
- Identifiers
- 991005544788507891
- Copyright
- © 2020 Wong et al.
- Murdoch Affiliation
- Information Technology, Mathematics and Statistics
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 2 Chemistry
- 2.211 Mass Spectrometry
- 2.211.990 Metabolomics
- Web Of Science research areas
- Biology
- ESI research areas
- Biology & Biochemistry