Genome-wide association studies narrow the search for disease genes to part of a chromosome — but then more work has to be done to identify the causative gene. "When you look at how people find disease SNPs now, it's usually a pretty tedious process," says Stanford University's Atul Butte. By mashing together publicly available microarray data, Butte and his lab have found a way to speed up that search up by prioritizing SNPs for further study.

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