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It becomes what I call data-driven medicine,
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, instead of hunch-driven medicine.


— Michael Snyder


Making sense of this sort of data isn’t easy. “No story is the same,
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,” Snyder says. “We see a lot of strange stuff that we don’t know how to interpret yet.”
But collecting detailed omic-level data about individuals over time could still be useful,
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, he says. By collecting more data from healthy people,
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, doctors and scientists could get a better sense of what’s normal. And tracking fluctuations in individual patients’ data over time can show what’s typical for that particular person. Snyder thinks that might be more valuable than knowing what’s normal for people in general. Someone monitoring these biological signs might notice molecular changes — as he did — before they cause troublesome physical symptoms.
For the multi-omic future that Snyder and others envision, scientists will need a greater ability to store and wrangle massive amounts of data than they possess today. And they’ll need ways to test the networks they uncover. But the potential payoff is enormous: A response map that can display the intertwining routes between genes and outcomes,
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, as well as how distant red lights,
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, speed bumps and construction zones play off each other to shift those paths.

This article appears in the October 29, 2016,
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, issue of Science News under the headline, "Mapping life's networks: Multi-omics

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