Author Archive for Jeff Barrett

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Why prediction is a risky business

(This is an extended version of a short piece written as part of a series organized by the excellent Mary Carmichael at Newsweek. Readers eager for more detail on the statistics behind risk prediction should read Kate’s excellent discussion posted yesterday.)

In 2003 Francis Collins, having just led the human genome project to completion, made a prediction: within ten years, “predictive genetic tests will exist for many common conditions” and “each of us can learn of our individual risks for future illness”. The deadline of his prophecy is fast approaching, but how close are we to realizing his vision of being able to get a read-out of disease risk from a person’s DNA?
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If you’re predicting disease, you should be regulated

Last week’s Congressional hearings on the direct-to-consumer genetics industry (featuring a provocative GAO report based on covertly recorded phone calls made to major DTC companies) have spurred plenty of discussion, including Daniel MacArthur’s post here at Genomes Unzipped and Dan Vorhaus’ post at Genomics Law Report.

But we disagree with some other Genomes Unzipped members about the regulatory future of the industry, and in particular we believe that medical interpretation of genetic data should be regulated.

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How to read a genome-wide association study

As any avid follower of genomics or medical genetics knows, genome-wide association studies (GWAS) have been the dominant tool used by complex disease genetics researchers in the last five years. There’s a very active debate in the field about whether GWAS have revolutionized our understanding of disease genetics or whether they were a waste of money for little tangible gain. No matter where you fall in that spectrum, however, you need only to browse the table of contents of any recent issue of Nature Genetics to see how ubiquitous they are. Since GWAS provide so much of the fodder for unzipping your genome, and in order to help you cut through the hype in the mainstream press coverage of GWAS, I’ve put together a quick primer on how to go straight to the original paper and decide for yourself whether it’s a landmark finding or a dud.

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