WEBVTT 00:00:10.744 --> 00:00:11.744 Thank you. 00:00:12.171 --> 00:00:13.322 Ladies and gentlemen, 00:00:13.347 --> 00:00:15.474 I present to you the human genome. 00:00:15.498 --> 00:00:19.377 (Applause) 00:00:19.401 --> 00:00:23.334 Chromosome one -- top left, bottom right -- are the sex chromosomes. 00:00:23.358 --> 00:00:26.086 Women have two copies of that big X chromosome; 00:00:26.110 --> 00:00:29.275 men have the X and, of course, that small copy of the Y. 00:00:29.299 --> 00:00:32.990 Sorry boys, but it's just a tiny little thing that makes you different. 00:00:35.614 --> 00:00:38.606 So if you zoom in on this genome, 00:00:38.630 --> 00:00:42.248 then what you see, of course, is this double-helix structure -- 00:00:42.272 --> 00:00:45.406 the code of life spelled out with these four biochemical letters, 00:00:45.430 --> 00:00:48.035 or we call them bases: A, C, G and T. 00:00:48.200 --> 00:00:50.772 How many are there in the human genome? Three billion. 00:00:50.796 --> 00:00:51.976 Is that a big number? 00:00:52.000 --> 00:00:54.219 Well, everybody can throw around big numbers. 00:00:54.243 --> 00:00:56.343 But in fact, if I were to place one base 00:00:56.367 --> 00:01:00.130 on each pixel of this 1280x800-resolution screen, 00:01:00.754 --> 00:01:04.033 we would need 3,000 screens to take a look at the genome. 00:01:04.057 --> 00:01:05.265 So it's really quite big. 00:01:05.289 --> 00:01:07.184 And perhaps because of its size, 00:01:07.208 --> 00:01:10.059 a group of people -- all, by the way, with Y chromosomes -- 00:01:10.083 --> 00:01:12.093 decided they would want to sequence it. 00:01:12.117 --> 00:01:14.132 (Laughter) 00:01:14.556 --> 00:01:18.912 And so 15 years, actually, and about four billion dollars later, 00:01:18.937 --> 00:01:20.812 the genome was sequenced and published. 00:01:20.836 --> 00:01:24.156 In 2003, the final version was published, and they keep working on it. 00:01:24.180 --> 00:01:26.169 That was all done on a machine like this. 00:01:26.193 --> 00:01:29.510 It costs about a dollar for each base -- a very slow way of doing it. 00:01:29.534 --> 00:01:31.129 Well, folks, I'm here to tell you 00:01:31.153 --> 00:01:33.244 that the world has completely changed, 00:01:33.268 --> 00:01:35.078 and none of you know about it. 00:01:35.102 --> 00:01:37.791 So now what we do is take a genome, 00:01:37.815 --> 00:01:39.354 we make maybe 50 copies of it, 00:01:39.378 --> 00:01:42.398 we cut all those copies up into little 50-base reads, 00:01:42.422 --> 00:01:44.763 and then we sequence them, massively parallel. 00:01:45.587 --> 00:01:48.674 Then we bring that into software and reassemble it, 00:01:48.698 --> 00:01:50.268 and tell you what the story is. 00:01:50.292 --> 00:01:52.607 So to give you a picture of what this looks like, 00:01:52.631 --> 00:01:55.114 the Human Genome Project: 3 gigabases, right? 00:01:55.138 --> 00:01:59.790 One run on one of these modern machines: 200 gigabases in a week. 00:01:59.814 --> 00:02:02.327 And that 200 is going to change to 600 this summer, 00:02:02.351 --> 00:02:04.493 and there's no sign of this pace slowing. 00:02:07.009 --> 00:02:09.793 The price of a base, to sequence a base, 00:02:09.818 --> 00:02:12.571 has fallen 100 million times. 00:02:12.595 --> 00:02:16.371 That's the equivalent of you filling up your car with gas in 1998, 00:02:16.395 --> 00:02:17.624 waiting until 2011, 00:02:17.648 --> 00:02:20.061 and now you can drive to Jupiter and back twice. 00:02:20.085 --> 00:02:24.376 (Laughter) 00:02:24.849 --> 00:02:26.376 World population, 00:02:27.161 --> 00:02:28.317 PC placements, 00:02:29.011 --> 00:02:31.275 the archive of all of medical literature, 00:02:31.797 --> 00:02:32.997 Moore's law, 00:02:33.519 --> 00:02:35.348 the old way of sequencing, 00:02:35.372 --> 00:02:37.129 and here's all the new stuff. 00:02:37.153 --> 00:02:38.494 Guys, this is a long scale; 00:02:38.518 --> 00:02:41.276 you don't typically see lines that go up like that. 00:02:41.742 --> 00:02:45.200 So the worldwide capacity to sequence human genomes 00:02:45.224 --> 00:02:48.393 is something like 50,000 to 100,000 human genomes this year. 00:02:48.417 --> 00:02:51.120 We know this based on the machines that are being placed. 00:02:51.144 --> 00:02:53.661 This is expected to double, triple or maybe quadruple 00:02:53.685 --> 00:02:55.895 year over year for the foreseeable future. 00:02:55.919 --> 00:02:57.904 In fact, there's one lab in particular 00:02:57.928 --> 00:03:00.864 that represents 20 percent of all that capacity: 00:03:00.888 --> 00:03:03.276 It's called the Beijing Genomics Institute. 00:03:03.706 --> 00:03:07.411 The Chinese are absolutely winning this race to the new Moon, by the way. 00:03:07.435 --> 00:03:09.173 What does this mean for medicine? 00:03:09.760 --> 00:03:12.484 So a woman, age 37, 00:03:12.508 --> 00:03:15.722 presents with stage 2 estrogen receptor-positive breast cancer. 00:03:15.746 --> 00:03:18.913 She is treated with surgery, chemotherapy and radiation. 00:03:18.937 --> 00:03:20.121 She goes home. 00:03:20.145 --> 00:03:21.296 Two years later, 00:03:21.320 --> 00:03:25.379 she comes back with stage 3C ovarian cancer, unfortunately; 00:03:25.418 --> 00:03:27.855 treated again with surgery and chemotherapy. 00:03:27.879 --> 00:03:30.133 She comes back three years later at age 42 00:03:30.157 --> 00:03:32.514 with more ovarian cancer, more chemotherapy. 00:03:32.538 --> 00:03:34.007 Six months later, 00:03:34.031 --> 00:03:37.855 she comes back with acute myeloid leukemia. 00:03:38.759 --> 00:03:41.765 She goes into respiratory failure and dies eight days later. 00:03:41.789 --> 00:03:44.147 So first: the way in which this woman was treated, 00:03:44.171 --> 00:03:47.614 in as little as 10 years, will look like bloodletting. 00:03:47.638 --> 00:03:50.463 And it's because of people like my colleague, Rick Wilson, 00:03:50.487 --> 00:03:52.826 at the Genome Institute at Washington University, 00:03:52.850 --> 00:03:55.309 who decided to take a look at this woman postmortem. 00:03:55.333 --> 00:03:57.816 And he took skin cells, healthy skin 00:03:57.840 --> 00:04:00.477 and cancerous bone marrow, 00:04:00.502 --> 00:04:02.788 and sequenced the whole genomes of both of them 00:04:02.812 --> 00:04:04.876 in a couple of weeks, no big deal. 00:04:04.900 --> 00:04:07.101 Then he compared those two genomes in software, 00:04:07.125 --> 00:04:08.950 and what he found, among other things, 00:04:08.974 --> 00:04:13.587 was a deletion -- a 2,000-base deletion across three billion bases 00:04:13.911 --> 00:04:16.070 in a particular gene called TP53. 00:04:16.094 --> 00:04:18.505 If you have this deleterious mutation in this gene, 00:04:18.529 --> 00:04:21.252 you're 90 percent likely to get cancer in your life. 00:04:21.276 --> 00:04:23.500 So unfortunately, this doesn't help this woman, 00:04:23.524 --> 00:04:26.176 but it does have severe -- profound, if you will -- 00:04:26.200 --> 00:04:28.390 implications to her family. 00:04:29.001 --> 00:04:30.884 I mean, if they have the same mutation, 00:04:30.908 --> 00:04:33.453 and they get this genetic test and they understand it, 00:04:33.477 --> 00:04:36.358 then they can get regular screens and can catch cancer early, 00:04:36.382 --> 00:04:38.702 and potentially live a significantly longer life. 00:04:38.726 --> 00:04:40.656 Let me introduce you to the Beery twins, 00:04:40.680 --> 00:04:43.012 diagnosed with cerebral palsy at the age of two. 00:04:43.036 --> 00:04:45.584 Their mom is a very brave woman who didn't believe it; 00:04:45.608 --> 00:04:47.211 the symptoms weren't matching up. 00:04:47.235 --> 00:04:50.243 And through some heroic efforts and a lot of Internet searching, 00:04:50.267 --> 00:04:52.438 she was able to convince the medical community 00:04:52.462 --> 00:04:54.358 that, in fact, they had something else. 00:04:54.382 --> 00:04:56.548 They had dopa-responsive dystonia. 00:04:56.572 --> 00:04:58.551 And so they were given L-Dopa, 00:04:58.575 --> 00:05:00.892 and their symptoms did improve, 00:05:00.916 --> 00:05:02.759 but they weren't totally asymptomatic. 00:05:02.783 --> 00:05:04.250 Significant problems remained. 00:05:04.274 --> 00:05:07.443 Turns out the gentleman in this picture is a guy named Joe Beery, 00:05:07.467 --> 00:05:09.110 who was lucky enough to be the CIO 00:05:09.134 --> 00:05:11.255 of a company called Life Technologies. 00:05:11.279 --> 00:05:12.621 They're one of two companies 00:05:12.645 --> 00:05:15.795 that makes these massive whole-genome sequencing tools. 00:05:15.819 --> 00:05:18.832 And so he got his kids sequenced. 00:05:18.856 --> 00:05:21.934 What they found was a series of mutations in a gene called SPR, 00:05:21.958 --> 00:05:25.355 which is responsible for producing serotonin, among other things. 00:05:25.379 --> 00:05:28.868 So on top of L-Dopa, they gave these kids a serotonin precursor drug, 00:05:28.892 --> 00:05:30.614 and they're effectively normal now. 00:05:30.638 --> 00:05:33.929 Guys, this would never have happened without whole-genome sequencing. 00:05:33.953 --> 00:05:36.793 At the time -- this was a few years ago -- it cost $100,000. 00:05:36.817 --> 00:05:38.644 Today it's $10,000, next year, $1,000, 00:05:38.668 --> 00:05:40.697 the year after, $100, give or take a year. 00:05:40.721 --> 00:05:42.221 That's how fast this is moving. 00:05:42.245 --> 00:05:44.102 So here's little Nick -- 00:05:44.126 --> 00:05:45.842 likes Batman and squirt guns. 00:05:45.866 --> 00:05:49.561 And it turns out Nick shows up at the children's hospital 00:05:49.585 --> 00:05:51.847 with this distended belly, like a famine victim. 00:05:51.871 --> 00:05:54.707 And it's not that he's not eating; it's that when he eats, 00:05:54.731 --> 00:05:58.142 his intestine basically opens up and feces spill out into his gut. 00:05:58.166 --> 00:05:59.801 So a hundred surgeries later, 00:05:59.825 --> 00:06:03.500 he looks at his mom and says, "Mom, please pray for me. 00:06:03.524 --> 00:06:04.927 I'm in so much pain." 00:06:05.348 --> 00:06:08.463 His pediatrician happens to have a background in clinical genetics 00:06:08.487 --> 00:06:10.176 and he has no idea what's going on, 00:06:10.200 --> 00:06:12.743 but he says, "Let's get this kid's genome sequenced." 00:06:12.767 --> 00:06:14.907 And what they find is a single-point mutation 00:06:14.931 --> 00:06:17.780 in a gene responsible for controlling programmed cell death. 00:06:17.804 --> 00:06:20.882 So the theory is that he's having some immunological reaction 00:06:20.906 --> 00:06:23.321 to what's going on -- to the food, essentially. 00:06:23.345 --> 00:06:26.715 And that's a natural reaction, which causes some programmed cell death, 00:06:26.739 --> 00:06:29.009 but the gene that regulates that down is broken. 00:06:29.033 --> 00:06:31.451 And so this informs, among other things, of course, 00:06:31.475 --> 00:06:34.446 a treatment for bone marrow transplant, which he undertakes. 00:06:34.470 --> 00:06:36.490 And after nine months of grueling recovery, 00:06:36.514 --> 00:06:38.419 he's now eating steak with A1 sauce. 00:06:38.443 --> 00:06:39.839 (Laughter) 00:06:39.864 --> 00:06:43.963 The prospect of using the genome as a universal diagnostic 00:06:43.987 --> 00:06:45.527 is upon us today. 00:06:46.702 --> 00:06:48.241 Today. It's here. 00:06:48.265 --> 00:06:49.757 And what it means for all of us 00:06:49.781 --> 00:06:53.068 is that everybody in this room could live an extra 5, 10, 20 years, 00:06:53.092 --> 00:06:54.759 just because of this one thing. 00:06:54.783 --> 00:06:56.846 Which is a fantastic story, 00:06:56.870 --> 00:06:59.748 unless you think about humanity's footprint on the planet, 00:06:59.772 --> 00:07:02.247 and our ability to keep up food production. 00:07:02.271 --> 00:07:03.843 So it turns out 00:07:03.867 --> 00:07:07.808 that the very same technology is also being used to grow new lines 00:07:07.832 --> 00:07:10.961 of corn, wheat, soybean and other crops 00:07:10.985 --> 00:07:13.160 that are highly tolerant of drought, of flood, 00:07:13.184 --> 00:07:14.707 of pests and pesticides. 00:07:14.731 --> 00:07:15.905 Now, look -- 00:07:16.424 --> 00:07:18.798 as long as we continue to increase the population, 00:07:18.822 --> 00:07:22.001 we'll have to continue to grow and eat genetically modified foods. 00:07:22.025 --> 00:07:24.176 And that's the only position I'll take today. 00:07:24.200 --> 00:07:26.018 Unless there's anybody in the audience 00:07:26.042 --> 00:07:28.263 who'd like to volunteer to stop eating? 00:07:28.287 --> 00:07:29.638 None, not one. 00:07:30.201 --> 00:07:31.402 This is a typewriter, 00:07:31.936 --> 00:07:34.555 a staple of every desktop for decades. 00:07:34.579 --> 00:07:38.163 And, in fact, the typewriter was essentially deleted by this thing. 00:07:39.143 --> 00:07:42.408 And then more general versions of word processors came about. 00:07:42.932 --> 00:07:45.711 But ultimately, it was a disruption on top of a disruption. 00:07:45.735 --> 00:07:47.803 It was Bob Metcalfe inventing the Ethernet, 00:07:47.827 --> 00:07:49.796 and the connection of all these computers 00:07:49.820 --> 00:07:51.670 that fundamentally changed everything. 00:07:51.694 --> 00:07:54.495 Suddenly we had Netscape, we had Yahoo. 00:07:54.519 --> 00:07:57.376 And we had, indeed, the entire dot-com bubble. 00:07:58.088 --> 00:07:59.968 (Laughter) 00:08:01.320 --> 00:08:02.543 Not to worry though, 00:08:02.567 --> 00:08:05.142 that was quickly rescued by the iPod, Facebook 00:08:05.166 --> 00:08:08.068 and, indeed, Angry Birds. 00:08:08.093 --> 00:08:10.069 (Laughter) 00:08:10.465 --> 00:08:12.991 Look, this is where we are today. 00:08:13.015 --> 00:08:15.805 This is the genomic revolution today. This is where we are. 00:08:17.029 --> 00:08:18.609 What I'd like you to consider is: 00:08:18.633 --> 00:08:20.038 What does it mean 00:08:20.062 --> 00:08:23.419 when these dots don't represent the individual bases of your genome, 00:08:23.443 --> 00:08:26.294 but they connect to genomes all across the planet? 00:08:26.318 --> 00:08:29.906 I just recently had to buy life insurance, and I was required to answer: 00:08:29.930 --> 00:08:32.061 A. I have never had a genetic test; 00:08:32.085 --> 00:08:33.568 B. I've had one, here you go; 00:08:33.592 --> 00:08:35.537 or C. I've had one and I'm not telling. 00:08:35.561 --> 00:08:37.277 Thankfully, I was able to answer A, 00:08:37.301 --> 00:08:40.849 and I say that honestly, in case my life insurance agent is listening. 00:08:40.873 --> 00:08:43.272 But what would have happened if I had said C? 00:08:43.296 --> 00:08:45.697 Consumer applications for genomics will flourish. 00:08:45.721 --> 00:08:48.170 Do you want to see if you're genetically compatible 00:08:48.194 --> 00:08:49.424 with your girlfriend? 00:08:49.448 --> 00:08:52.411 DNA sequencing on your iPhone? There's an app for that. 00:08:52.435 --> 00:08:53.776 (Laughter) 00:08:54.245 --> 00:08:56.530 Personalized genomic massage, anyone? 00:08:57.578 --> 00:09:02.145 There's already a lab today that tests for allele 334 of the AVPR1 gene, 00:09:02.169 --> 00:09:03.553 the so-called cheating gene. 00:09:04.377 --> 00:09:06.392 (Laughter) 00:09:06.416 --> 00:09:09.043 So anybody who's here today with your significant other, 00:09:09.067 --> 00:09:11.934 just turn over to them, swab their mouth, send it to the lab 00:09:11.958 --> 00:09:13.227 and you'll know for sure. 00:09:13.251 --> 00:09:14.362 (Laughter) 00:09:14.386 --> 00:09:16.812 Do you really want to elect a president 00:09:16.852 --> 00:09:19.114 whose genome suggests cardiomyopathy? 00:09:19.138 --> 00:09:20.998 Think of it -- it's 2016, 00:09:21.022 --> 00:09:22.728 and the leading candidate releases 00:09:22.752 --> 00:09:24.834 not only her four years of back-tax returns, 00:09:24.858 --> 00:09:26.311 but also her personal genome. 00:09:26.335 --> 00:09:27.545 And it looks really good. 00:09:27.569 --> 00:09:30.165 Then she challenges all her competitors to do the same. 00:09:30.189 --> 00:09:32.124 Do you think that's not going to happen? 00:09:32.148 --> 00:09:34.382 Do you think it would have helped John McCain? 00:09:34.406 --> 00:09:36.199 (Laughter) 00:09:36.223 --> 00:09:39.441 How many people in the audience have the last name Resnick, like me? 00:09:39.465 --> 00:09:40.623 Raise your hand. 00:09:40.647 --> 00:09:41.820 Anybody? Nobody. 00:09:42.275 --> 00:09:43.720 Typically, there's one or two. 00:09:43.744 --> 00:09:46.297 So my father's father was one of 10 Resnick brothers. 00:09:46.321 --> 00:09:50.406 They all hated each other, and all moved to different parts of the planet. 00:09:50.430 --> 00:09:53.349 So it's likely I'm related to every Resnick that I ever meet, 00:09:53.373 --> 00:09:54.524 but I don't know. 00:09:54.548 --> 00:09:57.585 So imagine if my genome were De-identified, sitting in software, 00:09:57.609 --> 00:09:59.993 And a third cousin's genome was also sitting there, 00:10:00.017 --> 00:10:02.318 and there was software that could compare the two 00:10:02.342 --> 00:10:03.699 and make these associations. 00:10:03.723 --> 00:10:07.031 Not hard to imagine. My company has software that does this right now. 00:10:07.055 --> 00:10:08.223 Imagine one more thing, 00:10:08.247 --> 00:10:11.482 that that software is able to ask both parties for mutual consent: 00:10:11.506 --> 00:10:13.831 "Would you be willing to meet your third cousin?" 00:10:13.855 --> 00:10:15.505 And if we both say yes -- voilĂ ! 00:10:15.529 --> 00:10:17.306 Welcome to Chromosomally LinkedIn. 00:10:17.330 --> 00:10:20.555 (Laughter) 00:10:21.648 --> 00:10:23.641 Now this is probably a good thing, right? 00:10:23.665 --> 00:10:25.253 Bigger clan gatherings and so on. 00:10:25.277 --> 00:10:26.978 But maybe it's a bad thing as well. 00:10:27.002 --> 00:10:29.283 How many fathers in the room? Raise your hands. 00:10:29.307 --> 00:10:32.635 OK, so experts think that one to three percent of you 00:10:32.659 --> 00:10:34.762 are not actually the father of your child. 00:10:34.786 --> 00:10:36.540 (Laughter) 00:10:36.564 --> 00:10:37.740 Look -- 00:10:37.764 --> 00:10:41.740 (Laughter) 00:10:42.711 --> 00:10:45.076 These genomes, these 23 chromosomes, 00:10:45.100 --> 00:10:48.964 they don't in any way represent the quality of our relationships 00:10:48.989 --> 00:10:51.682 or the nature of our society -- at least not yet. 00:10:51.706 --> 00:10:53.501 And like any new technology, 00:10:53.525 --> 00:10:55.314 it's really in humanity's hands 00:10:55.338 --> 00:10:57.536 to wield it for the betterment of mankind 00:10:57.560 --> 00:10:58.711 or not. 00:10:58.735 --> 00:11:00.958 And so I urge you all to wake up and to tune in 00:11:00.982 --> 00:11:04.378 and to influence the genomic revolution that's happening all around you. 00:11:04.402 --> 00:11:05.553 Thank you. 00:11:05.577 --> 00:11:07.269 (Applause)