iPOP (integrative personal omics profile) – tracking proteins, metabolites, metabolism, microRNAs, cytokines, antibodies, and gene transcripts in one person

Michael Snyder tracks his health status with iPOP and finds a virus causing his Type 2 Diabetes (T2DM)?

Snyder had a cold at the first blood draw, which allowed the researchers to track how a rhinovirus infection alters the human body in perhaps more detail than ever before. The initial sequencing of his genome had also showed that he had an increased risk for type 2 diabetes, but he initially paid that little heed because he did not know anyone in his family who had had the disease and he himself was not overweight. Still he and his team decided to closely monitor biomarkers associated with the diabetes, including insulin and glucose pathways. The scientist later became infected with respiratory syncytial virus, and his group saw that a sharp rise in glucose levels followed almost immediately. "We weren't expecting that," Snyder says. "I went to get a very fancy glucose metabolism test at Stanford and the woman looked at me and said, 'There's no way you have diabetes.' I said, 'I know that's true, but my genome says something funny here.' "

So much for "These people eat too much."

Topol writes in an e-mail, "this type of 'pan-ar-omic' study of individuals is now not only feasible but in select individuals with medical conditions, particularly useful clinically."

We'll have to wait until this will be used more often in research, and then it will take some considerable time, but it will reach clinical use some time, maybe in the next decade.

Read it all.

[Update] Here's another blog post about this.