and time-consuming. But scientists like Snyder,
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, who diagnosed himself with type 2 diabetes, think that someday people could regularly collect these sorts of data to track changes in their health over time.
The Stanford geneticist began by analyzing his own genome. Then he started measuring his proteome,
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, metabolome and other omic data at regular intervals to develop what he termed his “personal omics profile.”
Certain mutations in his genome suggested that he was at risk for developing diabetes from the get-go. He was surprised,
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, but didn’t take action. Nearly a year into his experiment,
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, though,
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, changes in his other omic data suggested that his body was no longer using glucose properly. His blood sugar was elevated and so was a type of hemoglobin that increases with uncontrolled diabetes, according to a report in Cell by Snyder and three dozen colleagues in 2012,
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. Those aren’t new measures — they’re exactly what a doctor would test in someone with diabetes symptoms,
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.
Story continues after graph

Sugar spike


Michael Snyder’s blood glucose levels jumped when he caught a cold (RSV infection) and stayed high after he recovered. When he changed his diet and exercise in response to a diabetes diagnosis,
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, his blood sugar levels dropped to previous levels. He saw the same pattern in levels of glycated hemoglobin.

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