Genomics Through The Lens Of Precompetitive Data Sharing

With low-cost whole genome sequencing on the horizon, issues around acquiring and assessing large data sets of sequence information are front and center. The value proposition is also shifting, from the means of acquiring data to their interpretation. But finding a sustainable business model around data analysis and clinical services is far from straightforward.

A little over a year ago, Harvard University’s Harvard Medical School professors Isaac Kohane, MD, PhD, and David Margulies, MD, hosted a meeting to advocate that the collective experience of researchers and clinicians with gene variants needs to be moved to the precompetitive space. According to Margulies, having universal open access to all data from sequence-derived assays is a safety matter. “It’s no less critical an issue,” he says, “than airlines’ sharing of aircraft safety data with each other for the public good and voluntarily deciding not to compete based on innuendo about unproven safety issues.”

The upshot of this sentiment has been a ratcheting up of discussions around potential venues for genomic data storage and sharing, the degree of cooperation to anticipate from clinical labs, and what the sustainability model might be both for labs that participate in such open-access efforts and for companies that offer enabling workflow tools

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