Genomic Prediction

Some pieces about us in the pop media:

https://www.netflix.com/watch/80243752?trackId=200257858

https://www.technologyreview.com/s/609204/eugenics-20-were-at-the-dawn-of-choosing-embryos-by-health-height-and-more/

There is much more, if you search.

Here is how we accomplish this, if you're a science person.
https://www.youtube.com/watch?v=8EjJ5VaJ0fw

Genomic Prediction was incorporated May 1, 2017, shortly after we submitted this manuscript for publication: http://www.genetics.org/content/early/2018/08/27/genetics.118.301267

Before GP, we were doing this same work in China. You can google the work, it is fairly well known:
https://www.cog-genomics.org/about
https://www.youtube.com/watch?v=1dVv5RMwzuo&t=744s

The research insights which led to the creation of GP stretch back much further. Agreements to develop molecular methodology, signed with some of the largest biotechnology vendors in the world, were ongoing in 2015. In the decade prior, the founders’ work in embryology, detection of chromosomal abnormality, computational genomics, algorithms, and polygenic architecture led to GP’s innovative methodology for the genetic testing of human embryos. GP’s products incorporate fundamental improvements on existing IVF methods borrowed from the world of physics, animal breeding and cancer research, never before applied to human IVF.

GP offers IVF parents a cost-effective means to predict complex, comprehensive disease risk for the entire genome of each embryo, and to choose a preferred embryo out of a batch of embryos.

Accurate understanding of the genomic architecture of human disease requires larger training datasets, greater accuracy, and a more rigorous, empirical basis of computational modeling (machine learning) than implemented in the past, with computational methods entirely outside of what has been done before us. GP represents the next step in embryo genetic testing, combining dense, genome-wide genotyping methods with sophisticated, validation-focused polygenic modeling. We bring IVF into the information age.