For two years, researchers at the Stanford University School of Medicine recently analyzed every aspect of geneticist Michael Snyder, PhD, from the sequence of his DNA, the RNA and proteins produced by his cells, the metabolites, and signaling molecules wafting through his blood. Soon, researchers discovered that he was predisposed to type-2 diabetes, which he later developed during the study.
“The researchers call the unprecedented analysis, which relies on collecting and analyzing billions of individual bits of data, an integrative Personal ‘Omics’ Profile, or iPOP. The word ‘omics’ indicates the study of a body of information, such as the genome (which is all DNA in a cell), or the proteome (which is all the proteins). Snyder’s iPOP also included his metabolome (metabolites), his transcriptome (RNA transcripts), and autoantibody profiles, among other things.
“The researchers say that Snyder’s diabetes is but one of myriad problems the iPOP can identify and predict, and that such dynamic monitoring will soon become commonplace.”
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Source: Stanford School of Medicine
