WEBVTT

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You know, usually when you think about a Black

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Friday door buster deal, you're picturing like

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a heavily discounted flat screen TV or maybe

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a new tablet. Right. Some kind of consumer electronics.

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Yeah, exactly. Something mass produced in a factory

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overseas that you just click add to cart on without

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really thinking twice. The kind of stuff that's

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designed to be cheap and disposable, honestly.

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Exactly. But you are definitely not picturing

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the fundamental biological blueprint of your

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own existence being tossed into an online shopping

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cart right next to like a pair of noise canceling

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headphones. Which sounds Completely absurd when

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you put it that way. It really does. But welcome

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to the deep dive. We've been pouring over a massive

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stack of source material today, specifically

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a comprehensive Wikipedia article and some historical

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data detailing the economics and, well, the wild

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commercial arms race of genome sequencing. It's

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a quiet story. It is. Our goal for you, the listener,

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is to figure out how reading human DNA went from

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a multi -billion dollar government mega project

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to literally a holiday discount deal. And more

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importantly, what that plummeting cost actually

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means for your health care going forward. Because

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it's moving fast. I mean, the speed of technology

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is just mind -blowing sometimes. It really is

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one of the most underappreciated technological

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leaps of our entire lifetime. but to really grasp

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the scale of what happened, we need to define

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the core concept that drove this whole race.

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Okay, lay it out for us. So, the phrase $1 ,000

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genome gets thrown around a lot in these sources,

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but it isn't just a random price tag. It represents

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a very specific, almost mythical threshold in

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medical history. Like breaking the four -minute

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mile. Exactly like that. The goal was to reach

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a point where fully sequencing an individual's

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whole genome, meaning reading all three billion

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base pairs of your DNA costs roughly $1 ,000.

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And why 1 ,000 specifically? Because at that

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price point, you cross a critical line. You take

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a scientific marvel that was only accessible

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to elite researchers, and you turn it into a

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routine medical test. Right. It is the absolute

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prerequisite for what we call predictive and

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personalized medicine. OK, let's unpack this.

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Because to understand why $1 ,000 is such a paradigm

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shifting number, We have to look at the original

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baseline, the starting line for this whole race.

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Right, we have to go back a bit. Yeah, back to

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the year 2001. The Human Genome Project publishes

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its very first draft of the Human Genetic Code

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and the cost of that achievement, a staggering

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$2 .7 billion. Yep. 2 .7 billion. And it took

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an entire decade to pull off. So going from a

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$2 .7 billion project to a $1 ,000 product in

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just a couple of decades, it's like spending

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billions to build the first Apollo rocket and

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then almost immediately demanding that a ticket

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to the moon should cost less than a laptop. I

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love that analogy. It's incredibly accurate,

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especially when you consider the sheer brute

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force required for that first draft. They really

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had to brute force it, didn't they? Oh, absolutely.

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The Human Genome Project relied on an older technology

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called Sanger sequencing. Imagine taking a massive

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multi -volume encyclopedia and reading it letter

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by letter, word by word, from cover to cover.

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Ugh, that sounds agonizingly slow. It was. They

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had entire warehouses filled with these massive

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machines running around the clock for years just

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to get one incomplete draft. Wow. So the scientists

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involved, you know, they knew they had just accomplished

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a monumental milestone for humanity. But they

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also recognized a massive glaring problem. Which

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is that $2 .7 billion is basically a national

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budget. Precisely. It is not a viable healthcare

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strategy for everyday people. Right. I mean,

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if my doctor needs a $2 .7 billion grant just

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to figure out why my knee hurts or what medication

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I should take, I'm probably just going to take

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my chances with ibuprofen. Exactly the problem.

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The technology had to become millions of times

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cheaper. So the phrase $1 ,000 genome was actually

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coined right at the tail end of that project.

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When was this? December 2001 at a National Human

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Genome Research Institute or NHGRI scientific

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retreat in Virginia. So they just planted a flag.

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They planted a flag and by 2002 heavyweights

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in the field like Jake Venter were aggressively

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pushing this goal at sequencing conferences.

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And didn't Venter actually put his money where

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his mouth is? He did. In 2003, his foundation

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put up half a million dollars for breakthrough

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to reach that price. And by 2004, the government

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formally stepped in. The NHGRI started handing

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out specific grants designed entirely to force

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the development of breakthrough technologies

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to hit this exact thousand dollar mark. It almost

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sounds like they were trying to mandate a technological

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miracle. But what was the ultimate vision here?

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Was the goal really just to have a cheap lab

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test? If we connect this to the bigger picture,

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it was much bigger than just a lab test. In a

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2006 article in Scientific American, the geneticist

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George M. Church laid out the vision beautifully.

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What did he say? He explained that the $1000

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genome was essentially shorthand for a promise.

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The promise that DNA sequencing would become

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so wildly affordable that an individual would

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view it as a once -in -a -lifetime expenditure.

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Oh, wow. So you just do it once. Exactly. You

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pay for it once, your full personal genome gets

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read onto a digital disk, and then your doctors

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just reference that disk for the rest of your

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life. Because your core code doesn't change.

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Right. It shifts the entire paradigm of medicine

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from reacting to your symptoms after you get

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sick to predicting your risks. based on your

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fundamental biology before anything ever happens.

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A once -in -a -lifetime medical purchase. That

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makes so much sense. So the vision is set. But

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having the vision is one thing. The source material

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highlights that actually pulling this off revealed

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a massive hidden roadblock. A very expensive

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roadblock. Yeah, because getting that data onto

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a disk turned out to be only half the battle.

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A very expensive half initially. The transition

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from that multi -billion dollar government project

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to individual sequencing started to happen, but

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it was incredibly clunky. Like that ceremony

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in 2007. Yes. May 2007, a highly publicized ceremony

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at Baylor College of Medicine. James D. Watson,

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the co -discoverer of the structure of DNA, was

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handed a digital copy of his personal genome.

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Right, they physically gave it to him on a portable

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hard drive. Which is so 2007. It really is. It

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was heralded as the first personal genome produced

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using next -generation sequencing. But I saw

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the price tag for that specific portable hard

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drive full of Watson's DNA. It was an estimated

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$1 million. Which, to be fair, is a massive discount

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from $2 .7 billion. True. But it's still a million

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dollars. And while the media was throwing a parade

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for this million dollar hard drive, the actual

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experts in the field were raising giant red flags.

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Oh, they were panicking. People like Bruce Korff,

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the past president of the American College of

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Medical Genetics, and Elaine Martis from Washington

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University, they started pointing out a crucial

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flaw in everyone's obsession with the cost of

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the sequencing itself. Right. Korff coined the

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phrase, the $1 million interpretation. And Martis

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called it the $100 ,000 analysis. But wait, I

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want to push back on this for a second. Go for

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it. If I hand my doctor a hard drive with my

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complete genetic code, isn't that the whole point?

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Why is the interpretation suddenly costing another

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million dollars? It feels like we're obsessing

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over the cost of printing the book, but what

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about the cost of actually reading the language?

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What's fascinating here is that you have hit

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on the exact bottleneck that terrified the medical

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community. Really? Yes. There is a massive distinction

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between generating the raw data, you know, just

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spitting out the billions of A's, C's, D's, and

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G's, and the immense computational labor required

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to actually analyze that data. So it's like paying

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someone a million dollars to perfectly transcribe

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a book written in an ancient dead language. That

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is brilliant, yes. Like you have the text perfectly

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copied down on paper, but it is completely useless

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until you hire an army of linguists at a hundred

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thousand dollars an hour to actually figure out

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what the story means. It perfectly captures the

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problem. You have three billion letters in your

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genome, but you also have millions of natural

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variations compared to a standard reference genome.

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OK. So let's say we find a spelling mistake on

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page four million of your code. What does that

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mistake actually mean? Right. Does it mean I'm

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going to get early onset Alzheimer's? Exactly.

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Or does it mean you're violently allergic to

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a certain type of common anesthesia? Or does

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it mean absolutely nothing and it's just a harmless

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quirk? And figuring that out isn't just a doctor

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squinting at a screen. Not at all. It requires

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supercomputers, proprietary algorithms, and teams

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of genetic counselors cross -referencing vast,

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constantly updating medical databases. Wow. So

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the physical sequencing was just the tip of the

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iceberg. The interpretation was where the real

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cost lay. So the implication there is terrifying

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for the industry. Because if the analysis and

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the supercomputers are going to cost you tens

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of thousands of dollars, the raw sequencing itself

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has to become practically free. Precisely. To

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make the whole package viable for a normal person,

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the raw data generation basically had to approach

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zero. It had to become a pure commodity. And

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nothing drives the price of a commodity down

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faster than a fiercely competitive commercial

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arms race. Which is exactly what kicked off in

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the biotech industry. Yeah, the late 2000s turned

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into a wild scramble to slash costs. At the end

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of 2007, a company called Gnome debuts a direct

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to consumer service. The price tag is $350 ,000.

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And wealthy individuals actually paid it. A Swiss

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biotech entrepreneur named Dan Stoichescu was

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one of their very first clients. That is wild.

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So in 2007, the floor is $350 ,000. But then

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the timeline just goes into free fall. It really

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does. In 2008, the company Illumina announces

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they can sequence an individual for $100 ,000

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in regent costs. Immediately, their competitor

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applied Biosystems counters with $60 ,000. Like

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a bidding war in reverse. Totally. By 2009, a

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Stanford professor named Stephen Quake sequences

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his own genome on a machine he co -founded for

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just I mean, how on earth is an industry slashing

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its prices in half every single year? Is this

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just Moore's law for biology? It is actually

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vastly outpacing Moore's Law. Really? Yeah, Moore's

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Law is the observation that computing power roughly

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doubles every two years. The drop in genome sequencing

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costs was falling much, much faster than that.

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It comes down to a fundamental shift in the technology.

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We move from that slow, page -by -page Sanger

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sequencing to what is called next -generation

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sequencing, or massively parallel sequencing.

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OK, how does massively parallel sequencing work?

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Because it clearly broke the cost curve entirely.

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Think back to our encyclopedia analogy. Instead

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of reading the 23 volumes of the human genome

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page by page, next generation sequencing takes

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30 complete copies of that encyclopedia set and

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runs them all through an industrial paper shredder.

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OK, wait. So now I just have a mountain of tiny

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paper strips. Right. Millions of tiny strips,

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each with just a few letters on them. That sounds

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chaotic. It is. But here's the trick. You dump

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all those strips onto a massive table. and chemical

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sensors read all of them simultaneously in parallel.

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Then you use a supercomputer to look for overlapping

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sentences on those strips to glue the whole puzzle

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back together. Because you are reading millions

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of strips at the exact same time, it is exponentially

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faster and cheaper. But wait, if you are shredding

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the encyclopedia, why do you need 30 copies of

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it to begin with? Why not just shred one copy?

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Because the shredding and reading process is

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incredibly messy. Sometimes a strip gets damaged,

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or the chemical sensor misreads a letter. If

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you only shredded one copy of the book, a mistake

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could ruin a crucial sentence. By shredding 30

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copies, you ensure that you have enough overlapping

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pieces to confidently catch errors and reconstruct

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the page perfectly. Okay, that makes perfect

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sense. That is a concept called 30x coverage.

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You are reading the equivalent of the whole genome

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30 times over to guarantee high accuracy. You

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need the redundancy because the cheap method

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is basically chaotic. Exactly. So this massively

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parallel shredded encyclopedia method is what

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drives the prices into the floor. By 2010, Illumina

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is offering a consumer service for $50 ,000.

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And their former CEO, John West, used it to sequence

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his entire family of four. Imagine dropping 200

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grand on a family lab test. But the trajectory

00:12:23.480 --> 00:12:26.679
keeps plunging until we hit January 2014. This

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is a massive moment in the source material. The

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huge milestone. Illumina launches a new machine

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called the HiSeq X10 sequencer, and they claim

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they have finally found the holy grail. They

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announced the first ever legitimate $1 ,000 genome

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at 30x coverage. The reaction to this announcement

00:12:43.559 --> 00:12:46.159
in the scientific community was absolutely electric.

00:12:46.980 --> 00:12:49.519
Michael Schatz, a highly respected researcher

00:12:49.519 --> 00:12:52.899
at Cold Spring Harbor Laboratory, famously compared

00:12:52.899 --> 00:12:55.360
this achievement to the development of the telescope

00:12:55.360 --> 00:12:58.759
or the microprocessor. Wow, those are huge comparisons.

00:12:58.940 --> 00:13:01.220
They are. It was heralded as a genuine turning

00:13:01.220 --> 00:13:04.159
point in human history. The telescope allowed

00:13:04.159 --> 00:13:07.659
us to see the infinite cosmos. The microprocessor

00:13:07.659 --> 00:13:10.159
allowed us to build the digital world. And the

00:13:10.159 --> 00:13:13.480
Hisak X10 allowed us to finally read our own

00:13:13.480 --> 00:13:15.960
microscopic blueprint affordably. Okay, here's

00:13:15.960 --> 00:13:19.049
where it gets really interesting, though. I am

00:13:19.049 --> 00:13:21.149
looking at what the critics said in the source

00:13:21.149 --> 00:13:23.149
material about this 2014 announcement, and I

00:13:23.149 --> 00:13:24.750
have to be the skeptic for a second. Please do.

00:13:24.929 --> 00:13:26.769
Because the fine print here is doing a lot of

00:13:26.769 --> 00:13:29.429
heavy lifting. Critics pointed out that to achieve

00:13:29.429 --> 00:13:32.710
this magical $1 ,000 number, a laboratory had

00:13:32.710 --> 00:13:35.750
to buy a minimum of 10 of these machines, which

00:13:35.750 --> 00:13:39.590
required a $10 million upfront investment. And

00:13:39.590 --> 00:13:42.509
that $1 ,000 calculation, it only factored in

00:13:42.509 --> 00:13:44.529
the chemical regions used for the test. Just

00:13:44.529 --> 00:13:47.409
the consumables, yeah. It completely ignored

00:13:47.409 --> 00:13:50.149
the electricity overhead to run these massive

00:13:50.149 --> 00:13:52.549
machines, the servers to store the data, the

00:13:52.549 --> 00:13:55.889
technicians to run them. Are we just looking

00:13:55.889 --> 00:13:58.149
at incredibly clever accounting here? It's a

00:13:58.149 --> 00:14:00.909
very fair critique. It sounds like when a company

00:14:00.909 --> 00:14:03.309
sells you a super cheap printer but gouges you

00:14:03.309 --> 00:14:05.889
on the ink, except in this case the printer costs

00:14:05.889 --> 00:14:07.789
10 million dollars and you have to buy 10 of

00:14:07.789 --> 00:14:10.450
them to get the deal. This raises an important

00:14:10.450 --> 00:14:12.710
question and you are highlighting a fundamental

00:14:12.710 --> 00:14:15.740
tension in this industry. There is a massive

00:14:15.740 --> 00:14:19.740
difference between raw regent costs, the chemicals

00:14:19.740 --> 00:14:22.840
used up during one specific run, and the total

00:14:22.840 --> 00:14:25.039
operational costs. Right, the actual cost of

00:14:25.039 --> 00:14:27.220
doing business. Exactly. You could not just walk

00:14:27.220 --> 00:14:29.320
into a clinic in 2014 with a thousand dollar

00:14:29.320 --> 00:14:31.860
bill and walk out with your genome. The clinic

00:14:31.860 --> 00:14:33.840
had to amortize that ten million dollar equipment

00:14:33.840 --> 00:14:36.899
cost, the massive power bills, and the salaries

00:14:36.899 --> 00:14:39.899
of the bioinformatics team across thousands and

00:14:39.899 --> 00:14:42.299
thousands of patients just to break even. So

00:14:42.299 --> 00:14:45.440
the $1 ,000 genome in 2014 was basically a marketing

00:14:45.440 --> 00:14:48.279
technicality. To a degree, yes. But even the

00:14:48.279 --> 00:14:50.960
harshest critics had to concede a larger truth,

00:14:51.159 --> 00:14:53.320
which was whether the true fully loaded cost

00:14:53.320 --> 00:14:58.659
in 2014 was $1 ,000 or $1 ,500. The sheer trajectory

00:14:58.659 --> 00:15:02.259
of the cost drop was undeniably historic. They

00:15:02.259 --> 00:15:04.580
had shaved literally millions of dollars off

00:15:04.580 --> 00:15:07.379
the price tag in less than a decade. The dam

00:15:07.379 --> 00:15:09.879
had broken. Wow. And the technology was advancing

00:15:09.879 --> 00:15:12.679
so rapidly that it actually started breaking

00:15:12.679 --> 00:15:14.799
the very incentive structures that were designed

00:15:14.799 --> 00:15:16.659
to encourage it in the first place. Wait. What

00:15:16.659 --> 00:15:18.580
do you mean by breaking the incentive structures?

00:15:18.720 --> 00:15:21.379
Have you ever heard of the Archon Genomics X

00:15:21.379 --> 00:15:25.080
Prize? I have. The X Prize Foundation is famous

00:15:25.080 --> 00:15:27.799
for putting up massive cash bounties for private

00:15:27.799 --> 00:15:29.340
spaceflight and things like that. Right. Well,

00:15:29.340 --> 00:15:31.460
they've put up a $10 million grand prize for

00:15:31.460 --> 00:15:34.279
genomics. The challenge was set for January 2013.

00:15:34.299 --> 00:15:37.000
OK. The prize would go to the first private team

00:15:37.000 --> 00:15:39.559
that could sequence 100 human genomes within

00:15:39.559 --> 00:15:43.159
30 days at a high accuracy and at an audited

00:15:43.159 --> 00:15:46.299
total cost of exactly $1 ,000 per genome. So

00:15:46.299 --> 00:15:47.799
it was supposed to be the ultimate catalyst,

00:15:48.039 --> 00:15:50.220
like a massive carrot dangled in front of the

00:15:50.220 --> 00:15:52.179
industry to force them to hit the target. That

00:15:52.179 --> 00:15:54.559
was the intent, but the reality of what happened

00:15:54.559 --> 00:15:56.340
is one of the most fascinating anecdotes from

00:15:56.340 --> 00:15:59.919
this entire era. What happened? In August 2013,

00:16:00.250 --> 00:16:02.549
Months before the competition was even supposed

00:16:02.549 --> 00:16:05.429
to officially conclude, the founders of the X

00:16:05.429 --> 00:16:09.610
Prize made a stunning announcement. They abruptly

00:16:09.610 --> 00:16:12.169
canceled the entire $10 million competition.

00:16:12.429 --> 00:16:14.830
They just pulled the plug on a $10 million prize.

00:16:15.029 --> 00:16:18.289
Why? Did no one enter? No. It was the exact opposite.

00:16:18.669 --> 00:16:20.990
They canceled it because, in their own words,

00:16:21.309 --> 00:16:24.129
the prize had been outpaced by innovation. You're

00:16:24.129 --> 00:16:27.110
kidding? I'm not. The founders realized that

00:16:27.110 --> 00:16:29.190
the private sector was moving so aggressively

00:16:29.190 --> 00:16:31.370
and the commercial arms race we just talked about

00:16:31.370 --> 00:16:34.450
was dropping costs so fast on its own that a

00:16:34.450 --> 00:16:36.649
10 million dollar prize was suddenly irrelevant.

00:16:36.840 --> 00:16:39.419
That is insane. He was no longer incentivizing

00:16:39.419 --> 00:16:41.620
the industry because the companies stood to make

00:16:41.620 --> 00:16:44.820
billions by capturing the market. The technological

00:16:44.820 --> 00:16:47.519
reality of the free market had literally outrun

00:16:47.519 --> 00:16:50.179
a 10 million dollar philanthropic moonshot. That

00:16:50.179 --> 00:16:52.580
is staggering. The market was moving so fast

00:16:52.580 --> 00:16:55.220
that a 10 million dollar bounty basically became

00:16:55.220 --> 00:16:57.860
pocket change to these companies. Exactly. And

00:16:57.860 --> 00:17:00.809
once that dam broke. The race to the bottom really

00:17:00.809 --> 00:17:03.950
accelerated. We transitioned away from a futuristic,

00:17:03.950 --> 00:17:06.970
elite medical procedure into the realm of aggressive

00:17:06.970 --> 00:17:09.049
retail marketing. This is where it gets surreal.

00:17:09.250 --> 00:17:12.509
Yeah. By 2017 and 2018, companies like Dante

00:17:12.509 --> 00:17:14.809
Labs in Europe and the Beijing Genomics Institute

00:17:14.809 --> 00:17:17.430
are pushing prices well under a thousand dollars.

00:17:18.009 --> 00:17:20.450
BGI was offering full sequencing for six hundred

00:17:20.450 --> 00:17:23.210
dollars in 2017. And then we hit the ultimate

00:17:23.210 --> 00:17:26.089
consumer shift, the moment where DNA officially

00:17:26.089 --> 00:17:29.609
becomes a retail commodity. July 28. on Amazon

00:17:29.609 --> 00:17:32.950
Prime Day. Yes. Dante Labs offered full, whole

00:17:32.950 --> 00:17:36.670
genome sequencing for $349. Amazon Prime Day.

00:17:36.750 --> 00:17:38.390
You're buying discounted Tupperware, a smart

00:17:38.390 --> 00:17:41.349
speaker, and your entire genetic code. It's hilarious.

00:17:41.490 --> 00:17:43.210
But the price war didn't stop there. November

00:17:43.210 --> 00:17:46.150
2018, Black Friday, Dante Labs drops the price

00:17:46.150 --> 00:17:49.349
to under $200. Unbelievable. And Veritas Genetics,

00:17:49.490 --> 00:17:51.230
which, by the way, was co -founded by George

00:17:51.230 --> 00:17:53.410
Church, the same guy who laid out the vision

00:17:53.410 --> 00:17:56.069
in Scientific American back in 2006. They offered

00:17:56.069 --> 00:17:59.190
whole genome sequencing for $199. It was limited

00:17:59.190 --> 00:18:00.990
to a thousand. thousand customers as a promotion,

00:18:01.289 --> 00:18:05.089
but still, $199. And geneticists note that the

00:18:05.089 --> 00:18:08.049
industry is now fiercely competing to hit a new,

00:18:08.170 --> 00:18:12.390
even lower target, the $100 genome. So what does

00:18:12.390 --> 00:18:15.089
this all mean for you? the listener. Let's take

00:18:15.089 --> 00:18:17.230
a step back and look at the sheer scale of what

00:18:17.230 --> 00:18:19.289
we've just discussed because the whiplash is

00:18:19.289 --> 00:18:21.809
intense. It really is. We literally went from

00:18:21.809 --> 00:18:24.450
the equivalent of an elite government supercomputer,

00:18:24.710 --> 00:18:27.490
a two point seven billion dollar endeavor that

00:18:27.490 --> 00:18:30.670
took a decade and thousands of scientists to

00:18:30.670 --> 00:18:33.809
an iPad Black Friday door buster in less than

00:18:33.809 --> 00:18:36.750
two decades. It means we have definitively entered

00:18:36.750 --> 00:18:39.650
the era of the one thousand dollar genome and

00:18:39.650 --> 00:18:42.289
honestly passed right through it. Yeah. The promise

00:18:42.289 --> 00:18:44.529
of the early two has been completely fulfilled.

00:18:44.829 --> 00:18:47.009
The physical act of reading human biology is

00:18:47.009 --> 00:18:49.630
no longer a financial barrier. The democratization

00:18:49.630 --> 00:18:51.849
of genetic data is here. Which is incredible

00:18:51.849 --> 00:18:54.289
for medicine. It is. It means your doctor can

00:18:54.289 --> 00:18:56.230
theoretically look at your code and know exactly

00:18:56.230 --> 00:18:58.190
which blood pressure medication will work for

00:18:58.190 --> 00:19:00.589
your specific biology and which one will give

00:19:00.589 --> 00:19:02.670
you adverse side effects. No more trial and error.

00:19:03.089 --> 00:19:06.930
Exactly. It means we can identify rare hereditary

00:19:06.930 --> 00:19:10.480
diseases before symptoms even show. It changes

00:19:10.480 --> 00:19:13.019
the entire foundation of how we treat human health.

00:19:13.259 --> 00:19:15.440
Right, because if the sequence costs less than

00:19:15.440 --> 00:19:17.880
a pair of sneakers, the business model of medicine

00:19:17.880 --> 00:19:20.869
has to change. We've traced this incredible journey

00:19:20.869 --> 00:19:25.029
today. We started with the massive $2 .7 billion

00:19:25.029 --> 00:19:28.509
human genome project and those warehouses of

00:19:28.509 --> 00:19:32.670
slow plotting machines. We watched James Watson

00:19:32.670 --> 00:19:35.650
get handed a $1 million hard drive that nobody

00:19:35.650 --> 00:19:38.349
could afford to actually interpret. We navigated

00:19:38.349 --> 00:19:40.710
the shredded encyclopedia breakthroughs of next

00:19:40.710 --> 00:19:43.150
-generation sequencing, the accounting debates

00:19:43.150 --> 00:19:45.950
of the $10 million aluminum machines in 2014.

00:19:46.130 --> 00:19:48.230
All of it. And we ended up clicking add to cart

00:19:48.230 --> 00:19:52.190
on a $199 Black Friday sale. This deep dive really

00:19:52.190 --> 00:19:54.349
highlights how astonishingly fast science can

00:19:54.349 --> 00:19:56.730
democratize our biology. The financial barrier

00:19:56.730 --> 00:19:58.990
to knowing exactly what you are made of is entirely

00:19:58.990 --> 00:20:01.549
gone. It is gone. But as we wrap up, I think

00:20:01.549 --> 00:20:03.809
there is a crucial lingering perspective we need

00:20:03.809 --> 00:20:05.410
to leave you with. OK, what is it? Throughout

00:20:05.410 --> 00:20:07.950
this entire journey, we have focused entirely

00:20:07.950 --> 00:20:11.250
on the race to read our DNA for pennies. But

00:20:11.250 --> 00:20:13.690
as the cost of generating that raw sequence approaches

00:20:13.690 --> 00:20:16.410
zero, we have to ask ourselves a much harder

00:20:16.410 --> 00:20:19.119
question about the future. Which is? In a world

00:20:19.119 --> 00:20:21.660
where your genetic data is practically free to

00:20:21.660 --> 00:20:25.000
extract, who will actually hold the power over

00:20:25.000 --> 00:20:28.400
your biological destiny? Will it be you? Or will

00:20:28.400 --> 00:20:30.019
it be the companies giving away the sequencing

00:20:30.019 --> 00:20:32.880
at rock bottom prices, simply so they can control,

00:20:33.019 --> 00:20:35.440
database, and monetize the immensely valuable

00:20:35.440 --> 00:20:38.220
and still very expensive algorithms that interpret

00:20:38.220 --> 00:20:38.759
who you are?
