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Accurate Genomic Prediction Of Human Height | bioRxiv
Stephen Hsu's compressed sensing application paper

We construct genomic predictors for heritable and extremely complex human quantitative traits (height, heel bone density, and educational attainment) using modern methods in high dimensional statistics (i.e., machine learning). Replication tests show that these predictors capture, respectively, ~40, 20, and 9 percent of total variance for the three traits. For example, predicted heights correlate ~0.65 with actual height; actual heights of most individuals in validation samples are within a few cm of the prediction.


I'm in Mountain View to give a talk at 23andMe. Their latest funding round was $250M on a (reported) valuation of $1.5B. If I just add up the Crunchbase numbers it looks like almost half a billion invested at this point...

Slides: Genomic Prediction of Complex Traits

Here's how people + robots handle your spit sample to produce a SNP genotype:

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september 2017 by nhaliday
Countdown | The Economist
The entrepreneur’s finances are as jaw-dropping, inventive and combustible as his space rockets
musk  investing  news  hard-tech  tech  business  frontier  profile  org:rec  org:biz  org:anglo  barons  entrepreneurialism  allodium 
october 2016 by nhaliday
Hard Tech Startups
Sam Altman's thoughts on the hard tech startup.
YC  hard-tech 
september 2016 by qsplund

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