Genetic information is valuable for finding drug targets, but it's generally a poor predictor of disease, except in case of rare monogenic disorders. With the advent of large population studies such as UK Biobank, which include lots of epigenetic information as well, I am not sure if one can get much extra value from 23andme's dataset in a pharmaceutical context.
Does it though? This is just a temporary stop gap, the data will continue to move and be exchanged, and this company will eventually collapse or be bought out as well.
This has played out in real time since the advent of stable diffusion and LLM ai - the data available on the internet was originally thought to be unmonetizable. Most people putting that data online simply thinks nothing of it, and let it be freely viewed.
Now, all of a sudden, these same people start complaining that their data are being used to train an ai (from which they obviously claim they want a piece of the profit off).
I expect genetics data to follow the same trajectory (and we just dont have any use for said data right now).
Dismissing valid concerns about such data being sold and traded around as "fearmongering" also seems unfair. Given the
Everybody made fun of Elon buying twitter but the spin-off from it (X.ai) was valued enough to buy the original company.
We'll need to wait a bunch of more years to see if the 23andme concerns were unfounded.
Crucial X.ai bought out X with a minority of stock. X.ai as in the thing spun out from X to do ai using X's data. Fidelity seems to value X.ai enough to be happy to have gotten more shares of it using the X shares.
I swear if OpenAI happened like 1 year prior to the twitter sale then everybody would have a different opinion about 44 Billion being the correct price for twitter.