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Global Systems Biology, Personalized Medicine and Molecular Epidemiology


Global Systems Biology, Personalized Medicine and Molecular Epidemiology

Jeremy K Nicholson. Mol Syst Biol.


Figure 1
Figure 1
Relationships between systems biology, personalized healthcare and molecular epidemiology (dotted lines indicate indirect connections or influences).
Figure 2
Figure 2
Pharmaco-metabonomic modelling procedure: spectroscopic data on pre-dose metabolic fingerprints (X matrix) from biofluids such as urine and plasma are statistically linked to outcome (quantitative toxicity (Y1) drug metabolism (Y2) matrixes) of a drug intervention via multivariate statistics such as partial least squares methods. Typically, 20–50% of all data is used in the training set construction. The predictive power of the models is then tested using a test set or a cross-validation set to assess model robustness. It is also possible as an additional test to avoid overfitting of data, to deliberately permute the training set matrixes to induce a false model that should have a very low predictive capability.

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    1. Brugman S, Klatter FA, Visser JTJ, Wildeboer-Veloo ACM, Harmsen HJM, Rozing J, Bos NA (2006) Antibiotic treatment partially protects against type 1 diabetes in the Bio-Breeding diabetes-prone rat. Is the gut microflora involved in the development of type 1 diabetes. Diabetologia 49: 2105–2108 - PubMed
    1. Cavalli-Sforza LL, Feldman MW (2003) The application of molecular genetic approaches to the study of human evolution. Nat Genet 33: 266–275 - PubMed
    1. Clayton TA, Lindon JC, Antti H, Charuel C, Hanton G, Provost JP, Le Net JL, Baker D, Walley RJ, Everett JE, Nicholson JK (2006) Pharmaco-metabonomic phenotyping and personalised drug treatment. Nature 440: 1073–1077 - PubMed
    1. Dumas ME, Barton RH, Toye A, Cloarec O, Blancher C, Rothwell A, Fearnside J, Tatoud R, Blanc V, Lindon JC, Mitchell S, Holmes E, McCarthy MI, Scott J, Gauguier D, Nicholson JK (2006a) Metabolic profiling reveals a contribution of gut microbiota to fatty liver phenotype in insulin resistant mice. Proc Natl Acad Sci USA 103: 12511–12516 - PMC - PubMed
    1. Dumas ME, Maibaum EC, Teague C, Ueshima H, Zhou BF, Lindon JC, Nicholson JK, Stamler J, Elliott P, Chan Q, Holmes E (2006b) Assessment of analytical reproducibility of 1H NMR spectroscopy based metabonomics in large scale epidemiological studies. Anal Chem 78: 2199–2208 - PMC - PubMed

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