The Google Genome Project

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Google has a black ops group which spends large chunks of speculative Google cash on ‘moonshot’ projects like self driving cars and dark fiber. Most of these don’t have immediate financial upside but neither did the original moonshot and we are still enjoying the benefits from that adventure. the latest project to come out to that group is one I can totally get behind.  Ten years ago sequencing the Human Genome cost hundreds of millions of dollars. Nowadays you can get your broad genome markers worked up for $70 or the whole thing sequenced for about $1,000. This has led to a proliferation of DNA data for hundreds of thousands disease conditions.  We know which mutations are closely linked to various diseases, we also have a pretty good handle on mutations which are implicated. Google has already partnered with Autism Speaks to help them digest the massive DNA data understanding that syndrome generates, now they are contributing in a different way.

Part of the problem of understanding the genetic causes of disease is that the majority of the data we have amassed so far has been from sick or very sick people. Even in cases where a very precise mutation is linked to a disease there may be other more subtle things going on.  These things can be harder to spot when a person’s genome is already seriously impacted by disease. To help make comparisons easier and more accurate Google is setting out to come up with the base line DNA of a “healthy” human. That should help people studying disease more easily find other potential markers or contributing factors for their target condition.  Initially Google will use the entire genomes of 175 apparently healthy guinea pigs.  The data will be anonymous and they wont be taking samples from anyone they employ.  Provided that the data is truly anonymous this shouldn’t generate any meaningful health concerns.  Over time I’d expect them the use a larger and larger healthy normal dataset but this sounds like a good start. It’s good to see Google using their massive wealth and data processing powers for good in this case.

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