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Review
. 2012 Aug 28;126(9):1110-20.
doi: 10.1161/CIRCULATIONAHA.111.060368.

Metabolomic profiling for the identification of novel biomarkers and mechanisms related to common cardiovascular diseases: form and function

Svati H Shah  1 , William E Kraus, Christopher B Newgard
Affiliations
Review

Metabolomic profiling for the identification of novel biomarkers and mechanisms related to common cardiovascular diseases: form and function

Svati H Shah et al. Circulation. .
No abstract available

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Figures

Figure 1
Figure 1
Kaplan-Meier survival curves for association between tertiles of metabolite factor composed of short-medium chain dicarboxylacylcarnitines with incident (a) death, and (b) death or myocardial infarction, adjusted for 22 clinical CVD-related variables. (adopted from reference 11)
Figure 2
Figure 2
Heat map pictorial of integration of genetics and metabolomics to identify metabolic quantitative trait loci (mQTL) from mouse study of diabetes. Each row represents a genetic marker and each column represents a metabolite, with strength of linkage of the QTL (i.e. linkage lods [LOD] score). See text for details (adopted from reference 45).
Figure 3
Figure 3
Systems biology in human populations—the challenges. Upper panel. Classical approach—tracing the hierarchy of molecular control of biological systems. Lower panel. Retrograde approach from clinical phenotype to genetic variation, including statistical complexity of molecular pathway analyses in a population of approximately 10,000.
See this image and copyright information in PMC

References

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