This study describes the 'integrative personal omics profile' (iPOP) of a healthy person — that of Mike Snyder, an author on the paper — which was generated by combining a whole-genome sequence with transcriptomic, proteomic, metabolomic and autoantibody data sampled over 14 months. As well as highlighting the subject's predisposition to type 2 diabetes, the study also identified new immune pathways that are activated by viral infection. Despite the complexity of analysing large and varied data sets, this paper is proof-of-principle that iPOPs are useful for gaining insights into physiological states and for assessing disease risk.
ORIGINAL RESEARCH PAPER
Chen, R. et al. Personal omics profiling reveals dynamic molecular and medical phenotypes. Cell 148, 1293–1307 (2012)
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Casci, T. Personalized omics profiling. Nat Rev Genet 13, 298 (2012). https://doi.org/10.1038/nrg3231
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DOI: https://doi.org/10.1038/nrg3231