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At $50 million, the 1,000 Genomes Project is a steal, writes blogger Michael White at Adaptive Complexity. Not only will it make large amounts of genome sequence data available up front, the project will delve into more detailed SNP maps -- to more precisely map actual genetic variation to disease -- as well as structural variation, another major disease culprit that the HapMap doesn't cover.

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Newsweek discusses the privacy issues raised by digital medicine.

A group of statisticians wants to eliminate researchers' reliance on 'statistical significance,' according to NPR.

In Nature this week: genetic analysis of Anatolian farmers, cotton genome analysis, and more.

Matt Hancock, the UK health secretary, is calling for the swift rollout of predictive genetic tests, the Guardian reports.