1 00:00:01,071 --> 00:00:02,223 Ladies and gentlemen, 2 00:00:02,247 --> 00:00:04,374 I present to you the human genome. 3 00:00:04,398 --> 00:00:08,277 (Applause) 4 00:00:08,301 --> 00:00:12,234 Chromosome one -- top left, bottom right -- are the sex chromosomes. 5 00:00:12,258 --> 00:00:14,986 Women have two copies of that big X chromosome; 6 00:00:15,010 --> 00:00:18,175 men have the X and, of course, that small copy of the Y. 7 00:00:18,199 --> 00:00:21,890 Sorry boys, but it's just a tiny little thing that makes you different. 8 00:00:21,914 --> 00:00:24,906 So if you zoom in on this genome, 9 00:00:24,930 --> 00:00:28,548 then what you see, of course, is this double-helix structure -- 10 00:00:28,572 --> 00:00:31,706 the code of life spelled out with these four biochemical letters, 11 00:00:31,730 --> 00:00:33,976 or we call them bases: A, C, G and T. 12 00:00:34,000 --> 00:00:36,572 How many are there in the human genome? Three billion. 13 00:00:36,596 --> 00:00:37,776 Is that a big number? 14 00:00:37,800 --> 00:00:40,019 Well, everybody can throw around big numbers. 15 00:00:40,043 --> 00:00:42,143 But in fact, if I were to place one base 16 00:00:42,167 --> 00:00:45,930 on each pixel of this 1280x800-resolution screen, 17 00:00:45,954 --> 00:00:49,233 we would need 3,000 screens to take a look at the genome. 18 00:00:49,257 --> 00:00:50,465 So it's really quite big. 19 00:00:50,489 --> 00:00:52,384 And perhaps because of its size, 20 00:00:52,408 --> 00:00:55,259 a group of people -- all, by the way, with Y chromosomes -- 21 00:00:55,283 --> 00:00:57,293 decided they would want to sequence it. 22 00:00:57,317 --> 00:00:59,332 (Laughter) 23 00:00:59,356 --> 00:01:02,613 And so 15 years, actually, and about four billion dollars later, 24 00:01:02,637 --> 00:01:04,512 the genome was sequenced and published. 25 00:01:04,536 --> 00:01:07,856 In 2003, the final version was published, and they keep working on it. 26 00:01:07,880 --> 00:01:09,869 That was all done on a machine like this. 27 00:01:09,893 --> 00:01:13,210 It costs about a dollar for each base -- a very slow way of doing it. 28 00:01:13,234 --> 00:01:14,829 Well, folks, I'm here to tell you 29 00:01:14,853 --> 00:01:16,944 that the world has completely changed, 30 00:01:16,968 --> 00:01:18,778 and none of you know about it. 31 00:01:18,802 --> 00:01:21,491 So now what we do is take a genome, 32 00:01:21,515 --> 00:01:23,054 we make maybe 50 copies of it, 33 00:01:23,078 --> 00:01:26,098 we cut all those copies up into little 50-base reads, 34 00:01:26,122 --> 00:01:28,463 and then we sequence them, massively parallel. 35 00:01:28,487 --> 00:01:31,574 Then we bring that into software and reassemble it, 36 00:01:31,598 --> 00:01:33,168 and tell you what the story is. 37 00:01:33,192 --> 00:01:35,507 So to give you a picture of what this looks like, 38 00:01:35,531 --> 00:01:38,014 the Human Genome Project: 3 gigabases, right? 39 00:01:38,038 --> 00:01:42,690 One run on one of these modern machines: 200 gigabases in a week. 40 00:01:42,714 --> 00:01:45,227 And that 200 is going to change to 600 this summer, 41 00:01:45,251 --> 00:01:47,393 and there's no sign of this pace slowing. 42 00:01:47,809 --> 00:01:51,394 The price of a base, to sequence a base, 43 00:01:51,418 --> 00:01:54,171 has fallen 100 million times. 44 00:01:54,195 --> 00:01:57,971 That's the equivalent of you filling up your car with gas in 1998, 45 00:01:57,995 --> 00:01:59,224 waiting until 2011, 46 00:01:59,248 --> 00:02:01,661 and now you can drive to Jupiter and back twice. 47 00:02:01,685 --> 00:02:05,976 (Laughter) 48 00:02:06,449 --> 00:02:07,976 World population, 49 00:02:08,861 --> 00:02:10,017 PC placements, 50 00:02:10,711 --> 00:02:12,975 the archive of all of medical literature, 51 00:02:13,497 --> 00:02:14,697 Moore's law, 52 00:02:15,219 --> 00:02:17,048 the old way of sequencing, 53 00:02:17,072 --> 00:02:18,829 and here's all the new stuff. 54 00:02:18,853 --> 00:02:20,194 Guys, this is a long scale; 55 00:02:20,218 --> 00:02:22,976 you don't typically see lines that go up like that. 56 00:02:23,442 --> 00:02:26,900 So the worldwide capacity to sequence human genomes 57 00:02:26,924 --> 00:02:30,093 is something like 50,000 to 100,000 human genomes this year. 58 00:02:30,117 --> 00:02:32,820 We know this based on the machines that are being placed. 59 00:02:32,844 --> 00:02:35,361 This is expected to double, triple or maybe quadruple 60 00:02:35,385 --> 00:02:37,595 year over year for the foreseeable future. 61 00:02:37,619 --> 00:02:39,604 In fact, there's one lab in particular 62 00:02:39,628 --> 00:02:42,564 that represents 20 percent of all that capacity: 63 00:02:42,588 --> 00:02:44,976 It's called the Beijing Genomics Institute. 64 00:02:45,406 --> 00:02:49,111 The Chinese are absolutely winning this race to the new Moon, by the way. 65 00:02:49,135 --> 00:02:50,873 What does this mean for medicine? 66 00:02:51,460 --> 00:02:54,184 So a woman, age 37, 67 00:02:54,208 --> 00:02:57,422 presents with stage 2 estrogen receptor-positive breast cancer. 68 00:02:57,446 --> 00:03:00,613 She is treated with surgery, chemotherapy and radiation. 69 00:03:00,637 --> 00:03:01,821 She goes home. 70 00:03:01,845 --> 00:03:02,996 Two years later, 71 00:03:03,020 --> 00:03:06,194 she comes back with stage 3C ovarian cancer, unfortunately; 72 00:03:06,218 --> 00:03:08,655 treated again with surgery and chemotherapy. 73 00:03:08,679 --> 00:03:10,933 She comes back three years later at age 42 74 00:03:10,957 --> 00:03:13,314 with more ovarian cancer, more chemotherapy. 75 00:03:13,338 --> 00:03:14,807 Six months later, 76 00:03:14,831 --> 00:03:18,655 she comes back with acute myeloid leukemia. 77 00:03:19,559 --> 00:03:22,565 She goes into respiratory failure and dies eight days later. 78 00:03:22,589 --> 00:03:24,947 So first: the way in which this woman was treated, 79 00:03:24,971 --> 00:03:28,414 in as little as 10 years, will look like bloodletting. 80 00:03:28,438 --> 00:03:31,263 And it's because of people like my colleague, Rick Wilson, 81 00:03:31,287 --> 00:03:33,626 at the Genome Institute at Washington University, 82 00:03:33,650 --> 00:03:36,109 who decided to take a look at this woman postmortem. 83 00:03:36,133 --> 00:03:38,616 And he took skin cells, healthy skin 84 00:03:38,640 --> 00:03:40,578 and cancerous bone marrow, 85 00:03:40,602 --> 00:03:42,888 and sequenced the whole genomes of both of them 86 00:03:42,912 --> 00:03:44,976 in a couple of weeks, no big deal. 87 00:03:45,000 --> 00:03:47,201 Then he compared those two genomes in software, 88 00:03:47,225 --> 00:03:49,050 and what he found, among other things, 89 00:03:49,074 --> 00:03:53,687 was a deletion -- a 2,000-base deletion across three billion bases 90 00:03:53,711 --> 00:03:55,870 in a particular gene called TP53. 91 00:03:55,894 --> 00:03:58,306 If you have this deleterious mutation in this gene, 92 00:03:58,330 --> 00:04:01,052 you're 90 percent likely to get cancer in your life. 93 00:04:01,076 --> 00:04:03,300 So unfortunately, this doesn't help this woman, 94 00:04:03,324 --> 00:04:05,976 but it does have severe -- profound, if you will -- 95 00:04:06,000 --> 00:04:08,190 implications to her family. 96 00:04:08,801 --> 00:04:10,684 I mean, if they have the same mutation, 97 00:04:10,708 --> 00:04:13,253 and they get this genetic test and they understand it, 98 00:04:13,277 --> 00:04:16,158 then they can get regular screens and can catch cancer early, 99 00:04:16,182 --> 00:04:18,502 and potentially live a significantly longer life. 100 00:04:18,526 --> 00:04:20,456 Let me introduce you to the Beery twins, 101 00:04:20,480 --> 00:04:22,812 diagnosed with cerebral palsy at the age of two. 102 00:04:22,836 --> 00:04:25,384 Their mom is a very brave woman who didn't believe it; 103 00:04:25,408 --> 00:04:27,011 the symptoms weren't matching up. 104 00:04:27,035 --> 00:04:30,043 And through some heroic efforts and a lot of Internet searching, 105 00:04:30,067 --> 00:04:32,238 she was able to convince the medical community 106 00:04:32,262 --> 00:04:34,158 that, in fact, they had something else. 107 00:04:34,182 --> 00:04:36,348 They had dopa-responsive dystonia. 108 00:04:36,372 --> 00:04:38,351 And so they were given L-Dopa, 109 00:04:38,375 --> 00:04:40,692 and their symptoms did improve, 110 00:04:40,716 --> 00:04:42,559 but they weren't totally asymptomatic. 111 00:04:42,583 --> 00:04:44,050 Significant problems remained. 112 00:04:44,074 --> 00:04:47,243 Turns out the gentleman in this picture is a guy named Joe Beery, 113 00:04:47,267 --> 00:04:48,910 who was lucky enough to be the CIO 114 00:04:48,934 --> 00:04:51,055 of a company called Life Technologies. 115 00:04:51,079 --> 00:04:52,421 They're one of two companies 116 00:04:52,445 --> 00:04:55,595 that makes these massive whole-genome sequencing tools. 117 00:04:55,619 --> 00:04:58,632 And so he got his kids sequenced. 118 00:04:58,656 --> 00:05:01,734 What they found was a series of mutations in a gene called SPR, 119 00:05:01,758 --> 00:05:05,155 which is responsible for producing serotonin, among other things. 120 00:05:05,179 --> 00:05:08,668 So on top of L-Dopa, they gave these kids a serotonin precursor drug, 121 00:05:08,692 --> 00:05:10,414 and they're effectively normal now. 122 00:05:10,438 --> 00:05:13,729 Guys, this would never have happened without whole-genome sequencing. 123 00:05:13,753 --> 00:05:16,593 At the time -- this was a few years ago -- it cost $100,000. 124 00:05:16,617 --> 00:05:18,444 Today it's $10,000, next year, $1,000, 125 00:05:18,468 --> 00:05:20,497 the year after, $100, give or take a year. 126 00:05:20,521 --> 00:05:22,021 That's how fast this is moving. 127 00:05:22,045 --> 00:05:23,902 So here's little Nick -- 128 00:05:23,926 --> 00:05:25,642 likes Batman and squirt guns. 129 00:05:25,666 --> 00:05:29,361 And it turns out Nick shows up at the children's hospital 130 00:05:29,385 --> 00:05:31,647 with this distended belly, like a famine victim. 131 00:05:31,671 --> 00:05:34,507 And it's not that he's not eating; it's that when he eats, 132 00:05:34,531 --> 00:05:37,942 his intestine basically opens up and feces spill out into his gut. 133 00:05:37,966 --> 00:05:39,601 So a hundred surgeries later, 134 00:05:39,625 --> 00:05:43,300 he looks at his mom and says, "Mom, please pray for me. 135 00:05:43,324 --> 00:05:44,727 I'm in so much pain." 136 00:05:45,148 --> 00:05:48,263 His pediatrician happens to have a background in clinical genetics 137 00:05:48,287 --> 00:05:49,976 and he has no idea what's going on, 138 00:05:50,000 --> 00:05:52,543 but he says, "Let's get this kid's genome sequenced." 139 00:05:52,567 --> 00:05:54,707 And what they find is a single-point mutation 140 00:05:54,731 --> 00:05:57,580 in a gene responsible for controlling programmed cell death. 141 00:05:57,604 --> 00:06:00,682 So the theory is that he's having some immunological reaction 142 00:06:00,706 --> 00:06:03,121 to what's going on -- to the food, essentially. 143 00:06:03,145 --> 00:06:06,515 And that's a natural reaction, which causes some programmed cell death, 144 00:06:06,539 --> 00:06:08,809 but the gene that regulates that down is broken. 145 00:06:08,833 --> 00:06:11,251 And so this informs, among other things, of course, 146 00:06:11,275 --> 00:06:14,246 a treatment for bone marrow transplant, which he undertakes. 147 00:06:14,270 --> 00:06:16,290 And after nine months of grueling recovery, 148 00:06:16,314 --> 00:06:18,219 he's now eating steak with A1 sauce. 149 00:06:18,243 --> 00:06:19,340 (Laughter) 150 00:06:19,364 --> 00:06:23,463 The prospect of using the genome as a universal diagnostic 151 00:06:23,487 --> 00:06:25,027 is upon us today. 152 00:06:26,202 --> 00:06:27,741 Today. It's here. 153 00:06:27,765 --> 00:06:29,257 And what it means for all of us 154 00:06:29,281 --> 00:06:32,568 is that everybody in this room could live an extra 5, 10, 20 years, 155 00:06:32,592 --> 00:06:34,259 just because of this one thing. 156 00:06:34,283 --> 00:06:36,346 Which is a fantastic story, 157 00:06:36,370 --> 00:06:39,248 unless you think about humanity's footprint on the planet, 158 00:06:39,272 --> 00:06:41,747 and our ability to keep up food production. 159 00:06:41,771 --> 00:06:43,343 So it turns out 160 00:06:43,367 --> 00:06:47,308 that the very same technology is also being used to grow new lines 161 00:06:47,332 --> 00:06:50,461 of corn, wheat, soybean and other crops 162 00:06:50,485 --> 00:06:52,660 that are highly tolerant of drought, of flood, 163 00:06:52,684 --> 00:06:54,207 of pests and pesticides. 164 00:06:54,231 --> 00:06:55,405 Now, look -- 165 00:06:55,924 --> 00:06:58,298 as long as we continue to increase the population, 166 00:06:58,322 --> 00:07:01,501 we'll have to continue to grow and eat genetically modified foods. 167 00:07:01,525 --> 00:07:03,676 And that's the only position I'll take today. 168 00:07:03,700 --> 00:07:05,518 Unless there's anybody in the audience 169 00:07:05,542 --> 00:07:07,763 who'd like to volunteer to stop eating? 170 00:07:07,787 --> 00:07:09,138 None, not one. 171 00:07:09,701 --> 00:07:10,902 This is a typewriter, 172 00:07:11,436 --> 00:07:14,055 a staple of every desktop for decades. 173 00:07:14,079 --> 00:07:17,663 And, in fact, the typewriter was essentially deleted by this thing. 174 00:07:18,243 --> 00:07:21,508 And then more general versions of word processors came about. 175 00:07:21,532 --> 00:07:24,311 But ultimately, it was a disruption on top of a disruption. 176 00:07:24,335 --> 00:07:26,403 It was Bob Metcalfe inventing the Ethernet, 177 00:07:26,427 --> 00:07:28,396 and the connection of all these computers 178 00:07:28,420 --> 00:07:30,270 that fundamentally changed everything. 179 00:07:30,294 --> 00:07:33,095 Suddenly we had Netscape, we had Yahoo. 180 00:07:33,119 --> 00:07:35,976 And we had, indeed, the entire dot-com bubble. 181 00:07:36,688 --> 00:07:38,568 (Laughter) 182 00:07:39,520 --> 00:07:40,743 Not to worry though, 183 00:07:40,767 --> 00:07:43,342 that was quickly rescued by the iPod, Facebook 184 00:07:43,366 --> 00:07:45,469 and, indeed, Angry Birds. 185 00:07:45,493 --> 00:07:47,469 (Laughter) 186 00:07:47,865 --> 00:07:50,391 Look, this is where we are today. 187 00:07:50,415 --> 00:07:53,205 This is the genomic revolution today. This is where we are. 188 00:07:53,229 --> 00:07:54,809 What I'd like you to consider is: 189 00:07:54,833 --> 00:07:56,238 What does it mean 190 00:07:56,262 --> 00:07:59,619 when these dots don't represent the individual bases of your genome, 191 00:07:59,643 --> 00:08:02,494 but they connect to genomes all across the planet? 192 00:08:02,518 --> 00:08:06,106 I just recently had to buy life insurance, and I was required to answer: 193 00:08:06,130 --> 00:08:08,261 A. I have never had a genetic test; 194 00:08:08,285 --> 00:08:09,768 B. I've had one, here you go; 195 00:08:09,792 --> 00:08:11,737 or C. I've had one and I'm not telling. 196 00:08:11,761 --> 00:08:13,477 Thankfully, I was able to answer A, 197 00:08:13,501 --> 00:08:17,049 and I say that honestly, in case my life insurance agent is listening. 198 00:08:17,073 --> 00:08:19,472 But what would have happened if I had said C? 199 00:08:19,496 --> 00:08:21,897 Consumer applications for genomics will flourish. 200 00:08:21,921 --> 00:08:24,370 Do you want to see if you're genetically compatible 201 00:08:24,394 --> 00:08:25,624 with your girlfriend? 202 00:08:25,648 --> 00:08:28,611 DNA sequencing on your iPhone? There's an app for that. 203 00:08:28,635 --> 00:08:29,976 (Laughter) 204 00:08:30,445 --> 00:08:32,730 Personalized genomic massage, anyone? 205 00:08:33,778 --> 00:08:38,345 There's already a lab today that tests for allele 334 of the AVPR1 gene, 206 00:08:38,369 --> 00:08:39,753 the so-called cheating gene. 207 00:08:39,777 --> 00:08:41,792 (Laughter) 208 00:08:41,816 --> 00:08:44,443 So anybody who's here today with your significant other, 209 00:08:44,467 --> 00:08:47,334 just turn over to them, swab their mouth, send it to the lab 210 00:08:47,358 --> 00:08:48,627 and you'll know for sure. 211 00:08:48,651 --> 00:08:49,762 (Laughter) 212 00:08:49,786 --> 00:08:51,728 Do you really want to elect a president 213 00:08:51,752 --> 00:08:54,014 whose genome suggests cardiomyopathy? 214 00:08:54,038 --> 00:08:55,898 Think of it -- it's 2016, 215 00:08:55,922 --> 00:08:57,628 and the leading candidate releases 216 00:08:57,652 --> 00:08:59,734 not only her four years of back-tax returns, 217 00:08:59,758 --> 00:09:01,211 but also her personal genome. 218 00:09:01,235 --> 00:09:02,445 And it looks really good. 219 00:09:02,469 --> 00:09:05,065 Then she challenges all her competitors to do the same. 220 00:09:05,089 --> 00:09:07,024 Do you think that's not going to happen? 221 00:09:07,048 --> 00:09:09,282 Do you think it would have helped John McCain? 222 00:09:09,306 --> 00:09:11,099 (Laughter) 223 00:09:11,123 --> 00:09:14,341 How many people in the audience have the last name Resnick, like me? 224 00:09:14,365 --> 00:09:15,523 Raise your hand. 225 00:09:15,547 --> 00:09:16,720 Anybody? Nobody. 226 00:09:17,175 --> 00:09:18,620 Typically, there's one or two. 227 00:09:18,644 --> 00:09:21,197 So my father's father was one of 10 Resnick brothers. 228 00:09:21,221 --> 00:09:25,306 They all hated each other, and all moved to different parts of the planet. 229 00:09:25,330 --> 00:09:28,249 So it's likely I'm related to every Resnick that I ever meet, 230 00:09:28,273 --> 00:09:29,424 but I don't know. 231 00:09:29,448 --> 00:09:32,485 So imagine if my genome were De-identified, sitting in software, 232 00:09:32,509 --> 00:09:34,893 And a third cousin's genome was also sitting there, 233 00:09:34,917 --> 00:09:37,218 and there was software that could compare the two 234 00:09:37,242 --> 00:09:38,599 and make these associations. 235 00:09:38,623 --> 00:09:41,931 Not hard to imagine. My company has software that does this right now. 236 00:09:41,955 --> 00:09:43,123 Imagine one more thing, 237 00:09:43,147 --> 00:09:46,382 that that software is able to ask both parties for mutual consent: 238 00:09:46,406 --> 00:09:48,731 "Would you be willing to meet your third cousin?" 239 00:09:48,755 --> 00:09:50,405 And if we both say yes -- voilĂ ! 240 00:09:50,429 --> 00:09:52,206 Welcome to Chromosomally LinkedIn. 241 00:09:52,230 --> 00:09:55,455 (Laughter) 242 00:09:56,548 --> 00:09:58,541 Now this is probably a good thing, right? 243 00:09:58,565 --> 00:10:00,153 Bigger clan gatherings and so on. 244 00:10:00,177 --> 00:10:01,878 But maybe it's a bad thing as well. 245 00:10:01,902 --> 00:10:04,183 How many fathers in the room? Raise your hands. 246 00:10:04,207 --> 00:10:07,535 OK, so experts think that one to three percent of you 247 00:10:07,559 --> 00:10:09,662 are not actually the father of your child. 248 00:10:09,686 --> 00:10:11,440 (Laughter) 249 00:10:11,464 --> 00:10:12,640 Look -- 250 00:10:12,664 --> 00:10:16,640 (Laughter) 251 00:10:17,611 --> 00:10:19,976 These genomes, these 23 chromosomes, 252 00:10:20,000 --> 00:10:23,365 they don't in any way represent the quality of our relationships 253 00:10:23,389 --> 00:10:26,082 or the nature of our society -- at least not yet. 254 00:10:26,106 --> 00:10:27,901 And like any new technology, 255 00:10:27,925 --> 00:10:29,714 it's really in humanity's hands 256 00:10:29,738 --> 00:10:31,936 to wield it for the betterment of mankind 257 00:10:31,960 --> 00:10:33,111 or not. 258 00:10:33,135 --> 00:10:35,358 And so I urge you all to wake up and to tune in 259 00:10:35,382 --> 00:10:38,778 and to influence the genomic revolution that's happening all around you. 260 00:10:38,802 --> 00:10:39,953 Thank you. 261 00:10:39,977 --> 00:10:42,420 (Applause)