Metabonomic, transcriptomic, and genomic variation of a population cohort
Journal Title
MOLECULAR SYSTEMS BIOLOGY
Publication Type
Journal Article
Abstract
Comprehensive characterization of human tissues promises novel insights into the biological architecture of human diseases and traits. We assessed metabonomic, transcriptomic, and genomic variation for a large population-based cohort from the capital region of Finland. Network analyses identified a set of highly correlated genes, the lipid-leukocyte (LL) module, as having a prominent role in over 80 serum metabolites (of 134 measures quantified), including lipoprotein subclasses, lipids, and amino acids. Concurrent association with immune response markers suggested the LL module as a possible link between inflammation, metabolism, and adiposity. Further, genomic variation was used to generate a directed network and infer LL module's largely reactive nature to metabolites. Finally, gene co-expression in circulating leukocytes was shown to be dependent on serum metabolite concentrations, providing evidence for the hypothesis that the coherence of molecular networks themselves is conditional on environmental factors. These findings show the importance and opportunity of systematic molecular investigation of human population samples. To facilitate and encourage this investigation, the metabonomic, transcriptomic, and genomic data used in this study have been made available as a resource for the research community. Molecular Systems Biology 6: 441; published online 21 December 2010; doi:10.1038/msb.2010.93
Publisher
NATURE PUBLISHING GROUP
Keywords
INCIDENT CARDIOVASCULAR-DISEASE; LIPOPROTEIN PARTICLE PROFILES; C-REACTIVE PROTEIN; H-1-NMR SPECTROSCOPY; WIDE ASSOCIATION; GENE-EXPRESSION; STANDARD LIPIDS; TRAITS; SERUM; APOLIPOPROTEINS
Research Division(s)
Immunology
Terms of Use/Rights Notice
This is an open-access article distributed under the terms of the Creative Commons Attribution Noncommercial Share Alike 3.0 Unported License, which allows readers to alter, transform, or build upon the article and then distribute the resulting work under the same or similar license to this one. The work must be attributed back to the original author and commercial use is not permitted without specific permission.


Creation Date: 2010-12-01 12:00:00
An error has occurred. This application may no longer respond until reloaded. Reload 🗙