Quote:
Originally Posted by Badger52
Possibly to the latter.
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Precision medicine is going to be huuuuge.
But not until there’s a big enough set of anonymised genomes to use as fuel for machine learning to do the grunt work.
2016 saw the $1000 barrier for full genome sequencing(30x coverage to mitigate for sequencing errors) broken by Veritas Genetics.
In late 2018 Veritas Genetics offered full genome sequencing for $199 for the first 1000 people. They sold out in 6 hours.
But even the temporary promotion price of $199 still isn’t anywhere cheap enough.
When full genome sequencing is the price of a pizza + 5-7 years after 10 million people have been sequenced, is when I reckon we start to see breakthroughs in truly understanding genetic resilience, starting with the biggies of cardiovascular disease and colorectal cancer.
CRISPR-like chemical scalpels for genetic splicing has a lot of potential for both good and evil.
I reckon it will be at least 2030 before we see a big enough drop in sequencing cost, a big enough data set, and enough time to crunch and confirm learnings to develop something actionable to start moving the needle.
On a podcast I was listening to recently, I was surprised to learn the amount of data transferred in a single human body in the form of genetic mutation is measured in terabytes per day.
Brave new world, but we are literally just scratching the surface.