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Exploring Covariation between Traditional Markers of Metabolic Health and the Plasma Metabolomic Profile: A Classic Twin Design.
- Source :
-
Journal of proteome research [J Proteome Res] 2019 Jun 07; Vol. 18 (6), pp. 2613-2623. Date of Electronic Publication: 2019 May 16. - Publication Year :
- 2019
-
Abstract
- Novel metabolomic profiling techniques combined with traditional biomarkers provide knowledge of mechanisms underlying metabolic health. Twin studies describe the impact of genes and environment on variation in traits. This study aims to identify relationships between traditional markers of metabolic health and the plasma metabolomic profile using a twin modeling approach and determine whether covariation is caused by shared genetic and environmental factors. Using a classic twin design, this study examined covariation between anthropometric, clinical chemistry, and metabolomic profiles. Cholesky decomposition modeling was used to determine the genetic and environmental path coefficients through successive anthropometric and clinical chemistry traits onto metabolomic derived metabolites. This study shows that WC, TAG, and a metabolomic signature composed of 7 metabolites are inter-related, and that covariation can be attributed to common genetic, shared and unique environmental factors as well as unique environmental factors specific to the metabolite. This quantitative modeling connecting the traditional anthropometry and clinical chemistry traits with the more recent and potentially more sensitive metabolomic profile approach may provide further insight on the pleiotropic genes or modifiable environmental factors influencing variation in metabolic health.
- Subjects :
- Adult
Anthropometry
Biomarkers metabolism
Chemistry, Clinical methods
Female
Humans
Male
Metabolic Diseases genetics
Metabolic Diseases pathology
Phenotype
Twins, Dizygotic genetics
Twins, Monozygotic genetics
Biomarkers blood
Gene-Environment Interaction
Metabolic Diseases blood
Metabolomics methods
Subjects
Details
- Language :
- English
- ISSN :
- 1535-3907
- Volume :
- 18
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Journal of proteome research
- Publication Type :
- Academic Journal
- Accession number :
- 31074629
- Full Text :
- https://doi.org/10.1021/acs.jproteome.9b00126