1 00:00:10,744 --> 00:00:11,744 Thank you. 2 00:00:12,171 --> 00:00:13,322 Ladies and gentlemen, 3 00:00:13,347 --> 00:00:15,474 I present to you the human genome. 4 00:00:15,498 --> 00:00:19,377 (Applause) 5 00:00:19,401 --> 00:00:23,334 Chromosome one -- top left, bottom right -- are the sex chromosomes. 6 00:00:23,358 --> 00:00:26,086 Women have two copies of that big X chromosome; 7 00:00:26,110 --> 00:00:29,275 men have the X and, of course, that small copy of the Y. 8 00:00:29,299 --> 00:00:32,990 Sorry boys, but it's just a tiny little thing that makes you different. 9 00:00:35,614 --> 00:00:38,606 So if you zoom in on this genome, 10 00:00:38,630 --> 00:00:42,248 then what you see, of course, is this double-helix structure -- 11 00:00:42,272 --> 00:00:45,406 the code of life spelled out with these four biochemical letters, 12 00:00:45,430 --> 00:00:48,035 or we call them bases: A, C, G and T. 13 00:00:48,200 --> 00:00:50,772 How many are there in the human genome? Three billion. 14 00:00:50,796 --> 00:00:51,976 Is that a big number? 15 00:00:52,000 --> 00:00:54,219 Well, everybody can throw around big numbers. 16 00:00:54,243 --> 00:00:56,343 But in fact, if I were to place one base 17 00:00:56,367 --> 00:01:00,130 on each pixel of this 1280x800-resolution screen, 18 00:01:00,754 --> 00:01:04,033 we would need 3,000 screens to take a look at the genome. 19 00:01:04,057 --> 00:01:05,265 So it's really quite big. 20 00:01:05,289 --> 00:01:07,184 And perhaps because of its size, 21 00:01:07,208 --> 00:01:10,059 a group of people -- all, by the way, with Y chromosomes -- 22 00:01:10,083 --> 00:01:12,093 decided they would want to sequence it. 23 00:01:12,117 --> 00:01:14,132 (Laughter) 24 00:01:14,556 --> 00:01:18,912 And so 15 years, actually, and about four billion dollars later, 25 00:01:18,937 --> 00:01:20,812 the genome was sequenced and published. 26 00:01:20,836 --> 00:01:24,156 In 2003, the final version was published, and they keep working on it. 27 00:01:24,180 --> 00:01:26,169 That was all done on a machine like this. 28 00:01:26,193 --> 00:01:29,510 It costs about a dollar for each base -- a very slow way of doing it. 29 00:01:29,534 --> 00:01:31,129 Well, folks, I'm here to tell you 30 00:01:31,153 --> 00:01:33,244 that the world has completely changed, 31 00:01:33,268 --> 00:01:35,078 and none of you know about it. 32 00:01:35,102 --> 00:01:37,791 So now what we do is take a genome, 33 00:01:37,815 --> 00:01:39,354 we make maybe 50 copies of it, 34 00:01:39,378 --> 00:01:42,398 we cut all those copies up into little 50-base reads, 35 00:01:42,422 --> 00:01:44,763 and then we sequence them, massively parallel. 36 00:01:45,587 --> 00:01:48,674 Then we bring that into software and reassemble it, 37 00:01:48,698 --> 00:01:50,268 and tell you what the story is. 38 00:01:50,292 --> 00:01:52,607 So to give you a picture of what this looks like, 39 00:01:52,631 --> 00:01:55,114 the Human Genome Project: 3 gigabases, right? 40 00:01:55,138 --> 00:01:59,790 One run on one of these modern machines: 200 gigabases in a week. 41 00:01:59,814 --> 00:02:02,327 And that 200 is going to change to 600 this summer, 42 00:02:02,351 --> 00:02:04,493 and there's no sign of this pace slowing. 43 00:02:07,009 --> 00:02:09,793 The price of a base, to sequence a base, 44 00:02:09,818 --> 00:02:12,571 has fallen 100 million times. 45 00:02:12,595 --> 00:02:16,371 That's the equivalent of you filling up your car with gas in 1998, 46 00:02:16,395 --> 00:02:17,624 waiting until 2011, 47 00:02:17,648 --> 00:02:20,061 and now you can drive to Jupiter and back twice. 48 00:02:20,085 --> 00:02:24,376 (Laughter) 49 00:02:24,849 --> 00:02:26,376 World population, 50 00:02:27,161 --> 00:02:28,317 PC placements, 51 00:02:29,011 --> 00:02:31,275 the archive of all of medical literature, 52 00:02:31,797 --> 00:02:32,997 Moore's law, 53 00:02:33,519 --> 00:02:35,348 the old way of sequencing, 54 00:02:35,372 --> 00:02:37,129 and here's all the new stuff. 55 00:02:37,153 --> 00:02:38,494 Guys, this is a long scale; 56 00:02:38,518 --> 00:02:41,276 you don't typically see lines that go up like that. 57 00:02:41,742 --> 00:02:45,200 So the worldwide capacity to sequence human genomes 58 00:02:45,224 --> 00:02:48,393 is something like 50,000 to 100,000 human genomes this year. 59 00:02:48,417 --> 00:02:51,120 We know this based on the machines that are being placed. 60 00:02:51,144 --> 00:02:53,661 This is expected to double, triple or maybe quadruple 61 00:02:53,685 --> 00:02:55,895 year over year for the foreseeable future. 62 00:02:55,919 --> 00:02:57,904 In fact, there's one lab in particular 63 00:02:57,928 --> 00:03:00,864 that represents 20 percent of all that capacity: 64 00:03:00,888 --> 00:03:03,276 It's called the Beijing Genomics Institute. 65 00:03:03,706 --> 00:03:07,411 The Chinese are absolutely winning this race to the new Moon, by the way. 66 00:03:07,435 --> 00:03:09,173 What does this mean for medicine? 67 00:03:09,760 --> 00:03:12,484 So a woman, age 37, 68 00:03:12,508 --> 00:03:15,722 presents with stage 2 estrogen receptor-positive breast cancer. 69 00:03:15,746 --> 00:03:18,913 She is treated with surgery, chemotherapy and radiation. 70 00:03:18,937 --> 00:03:20,121 She goes home. 71 00:03:20,145 --> 00:03:21,296 Two years later, 72 00:03:21,320 --> 00:03:25,379 she comes back with stage 3C ovarian cancer, unfortunately; 73 00:03:25,418 --> 00:03:27,855 treated again with surgery and chemotherapy. 74 00:03:27,879 --> 00:03:30,133 She comes back three years later at age 42 75 00:03:30,157 --> 00:03:32,514 with more ovarian cancer, more chemotherapy. 76 00:03:32,538 --> 00:03:34,007 Six months later, 77 00:03:34,031 --> 00:03:37,855 she comes back with acute myeloid leukemia. 78 00:03:38,759 --> 00:03:41,765 She goes into respiratory failure and dies eight days later. 79 00:03:41,789 --> 00:03:44,147 So first: the way in which this woman was treated, 80 00:03:44,171 --> 00:03:47,614 in as little as 10 years, will look like bloodletting. 81 00:03:47,638 --> 00:03:50,463 And it's because of people like my colleague, Rick Wilson, 82 00:03:50,487 --> 00:03:52,826 at the Genome Institute at Washington University, 83 00:03:52,850 --> 00:03:55,309 who decided to take a look at this woman postmortem. 84 00:03:55,333 --> 00:03:57,816 And he took skin cells, healthy skin 85 00:03:57,840 --> 00:04:00,477 and cancerous bone marrow, 86 00:04:00,502 --> 00:04:02,788 and sequenced the whole genomes of both of them 87 00:04:02,812 --> 00:04:04,876 in a couple of weeks, no big deal. 88 00:04:04,900 --> 00:04:07,101 Then he compared those two genomes in software, 89 00:04:07,125 --> 00:04:08,950 and what he found, among other things, 90 00:04:08,974 --> 00:04:13,587 was a deletion -- a 2,000-base deletion across three billion bases 91 00:04:13,911 --> 00:04:16,070 in a particular gene called TP53. 92 00:04:16,094 --> 00:04:18,505 If you have this deleterious mutation in this gene, 93 00:04:18,529 --> 00:04:21,252 you're 90 percent likely to get cancer in your life. 94 00:04:21,276 --> 00:04:23,500 So unfortunately, this doesn't help this woman, 95 00:04:23,524 --> 00:04:26,176 but it does have severe -- profound, if you will -- 96 00:04:26,200 --> 00:04:28,390 implications to her family. 97 00:04:29,001 --> 00:04:30,884 I mean, if they have the same mutation, 98 00:04:30,908 --> 00:04:33,453 and they get this genetic test and they understand it, 99 00:04:33,477 --> 00:04:36,358 then they can get regular screens and can catch cancer early, 100 00:04:36,382 --> 00:04:38,702 and potentially live a significantly longer life. 101 00:04:38,726 --> 00:04:40,656 Let me introduce you to the Beery twins, 102 00:04:40,680 --> 00:04:43,012 diagnosed with cerebral palsy at the age of two. 103 00:04:43,036 --> 00:04:45,584 Their mom is a very brave woman who didn't believe it; 104 00:04:45,608 --> 00:04:47,211 the symptoms weren't matching up. 105 00:04:47,235 --> 00:04:50,243 And through some heroic efforts and a lot of Internet searching, 106 00:04:50,267 --> 00:04:52,438 she was able to convince the medical community 107 00:04:52,462 --> 00:04:54,358 that, in fact, they had something else. 108 00:04:54,382 --> 00:04:56,548 They had dopa-responsive dystonia. 109 00:04:56,572 --> 00:04:58,551 And so they were given L-Dopa, 110 00:04:58,575 --> 00:05:00,892 and their symptoms did improve, 111 00:05:00,916 --> 00:05:02,759 but they weren't totally asymptomatic. 112 00:05:02,783 --> 00:05:04,250 Significant problems remained. 113 00:05:04,274 --> 00:05:07,443 Turns out the gentleman in this picture is a guy named Joe Beery, 114 00:05:07,467 --> 00:05:09,110 who was lucky enough to be the CIO 115 00:05:09,134 --> 00:05:11,255 of a company called Life Technologies. 116 00:05:11,279 --> 00:05:12,621 They're one of two companies 117 00:05:12,645 --> 00:05:15,795 that makes these massive whole-genome sequencing tools. 118 00:05:15,819 --> 00:05:18,832 And so he got his kids sequenced. 119 00:05:18,856 --> 00:05:21,934 What they found was a series of mutations in a gene called SPR, 120 00:05:21,958 --> 00:05:25,355 which is responsible for producing serotonin, among other things. 121 00:05:25,379 --> 00:05:28,868 So on top of L-Dopa, they gave these kids a serotonin precursor drug, 122 00:05:28,892 --> 00:05:30,614 and they're effectively normal now. 123 00:05:30,638 --> 00:05:33,929 Guys, this would never have happened without whole-genome sequencing. 124 00:05:33,953 --> 00:05:36,793 At the time -- this was a few years ago -- it cost $100,000. 125 00:05:36,817 --> 00:05:38,644 Today it's $10,000, next year, $1,000, 126 00:05:38,668 --> 00:05:40,697 the year after, $100, give or take a year. 127 00:05:40,721 --> 00:05:42,221 That's how fast this is moving. 128 00:05:42,245 --> 00:05:44,102 So here's little Nick -- 129 00:05:44,126 --> 00:05:45,842 likes Batman and squirt guns. 130 00:05:45,866 --> 00:05:49,561 And it turns out Nick shows up at the children's hospital 131 00:05:49,585 --> 00:05:51,847 with this distended belly, like a famine victim. 132 00:05:51,871 --> 00:05:54,707 And it's not that he's not eating; it's that when he eats, 133 00:05:54,731 --> 00:05:58,142 his intestine basically opens up and feces spill out into his gut. 134 00:05:58,166 --> 00:05:59,801 So a hundred surgeries later, 135 00:05:59,825 --> 00:06:03,500 he looks at his mom and says, "Mom, please pray for me. 136 00:06:03,524 --> 00:06:04,927 I'm in so much pain." 137 00:06:05,348 --> 00:06:08,463 His pediatrician happens to have a background in clinical genetics 138 00:06:08,487 --> 00:06:10,176 and he has no idea what's going on, 139 00:06:10,200 --> 00:06:12,743 but he says, "Let's get this kid's genome sequenced." 140 00:06:12,767 --> 00:06:14,907 And what they find is a single-point mutation 141 00:06:14,931 --> 00:06:17,780 in a gene responsible for controlling programmed cell death. 142 00:06:17,804 --> 00:06:20,882 So the theory is that he's having some immunological reaction 143 00:06:20,906 --> 00:06:23,321 to what's going on -- to the food, essentially. 144 00:06:23,345 --> 00:06:26,715 And that's a natural reaction, which causes some programmed cell death, 145 00:06:26,739 --> 00:06:29,009 but the gene that regulates that down is broken. 146 00:06:29,033 --> 00:06:31,451 And so this informs, among other things, of course, 147 00:06:31,475 --> 00:06:34,446 a treatment for bone marrow transplant, which he undertakes. 148 00:06:34,470 --> 00:06:36,490 And after nine months of grueling recovery, 149 00:06:36,514 --> 00:06:38,419 he's now eating steak with A1 sauce. 150 00:06:38,443 --> 00:06:39,839 (Laughter) 151 00:06:39,864 --> 00:06:43,963 The prospect of using the genome as a universal diagnostic 152 00:06:43,987 --> 00:06:45,527 is upon us today. 153 00:06:46,702 --> 00:06:48,241 Today. It's here. 154 00:06:48,265 --> 00:06:49,757 And what it means for all of us 155 00:06:49,781 --> 00:06:53,068 is that everybody in this room could live an extra 5, 10, 20 years, 156 00:06:53,092 --> 00:06:54,759 just because of this one thing. 157 00:06:54,783 --> 00:06:56,846 Which is a fantastic story, 158 00:06:56,870 --> 00:06:59,748 unless you think about humanity's footprint on the planet, 159 00:06:59,772 --> 00:07:02,247 and our ability to keep up food production. 160 00:07:02,271 --> 00:07:03,843 So it turns out 161 00:07:03,867 --> 00:07:07,808 that the very same technology is also being used to grow new lines 162 00:07:07,832 --> 00:07:10,961 of corn, wheat, soybean and other crops 163 00:07:10,985 --> 00:07:13,160 that are highly tolerant of drought, of flood, 164 00:07:13,184 --> 00:07:14,707 of pests and pesticides. 165 00:07:14,731 --> 00:07:15,905 Now, look -- 166 00:07:16,424 --> 00:07:18,798 as long as we continue to increase the population, 167 00:07:18,822 --> 00:07:22,001 we'll have to continue to grow and eat genetically modified foods. 168 00:07:22,025 --> 00:07:24,176 And that's the only position I'll take today. 169 00:07:24,200 --> 00:07:26,018 Unless there's anybody in the audience 170 00:07:26,042 --> 00:07:28,263 who'd like to volunteer to stop eating? 171 00:07:28,287 --> 00:07:29,638 None, not one. 172 00:07:30,201 --> 00:07:31,402 This is a typewriter, 173 00:07:31,936 --> 00:07:34,555 a staple of every desktop for decades. 174 00:07:34,579 --> 00:07:38,163 And, in fact, the typewriter was essentially deleted by this thing. 175 00:07:39,143 --> 00:07:42,408 And then more general versions of word processors came about. 176 00:07:42,932 --> 00:07:45,711 But ultimately, it was a disruption on top of a disruption. 177 00:07:45,735 --> 00:07:47,803 It was Bob Metcalfe inventing the Ethernet, 178 00:07:47,827 --> 00:07:49,796 and the connection of all these computers 179 00:07:49,820 --> 00:07:51,670 that fundamentally changed everything. 180 00:07:51,694 --> 00:07:54,495 Suddenly we had Netscape, we had Yahoo. 181 00:07:54,519 --> 00:07:57,376 And we had, indeed, the entire dot-com bubble. 182 00:07:58,088 --> 00:07:59,968 (Laughter) 183 00:08:01,320 --> 00:08:02,543 Not to worry though, 184 00:08:02,567 --> 00:08:05,142 that was quickly rescued by the iPod, Facebook 185 00:08:05,166 --> 00:08:08,068 and, indeed, Angry Birds. 186 00:08:08,093 --> 00:08:10,069 (Laughter) 187 00:08:10,465 --> 00:08:12,991 Look, this is where we are today. 188 00:08:13,015 --> 00:08:15,805 This is the genomic revolution today. This is where we are. 189 00:08:17,029 --> 00:08:18,609 What I'd like you to consider is: 190 00:08:18,633 --> 00:08:20,038 What does it mean 191 00:08:20,062 --> 00:08:23,419 when these dots don't represent the individual bases of your genome, 192 00:08:23,443 --> 00:08:26,294 but they connect to genomes all across the planet? 193 00:08:26,318 --> 00:08:29,906 I just recently had to buy life insurance, and I was required to answer: 194 00:08:29,930 --> 00:08:32,061 A. I have never had a genetic test; 195 00:08:32,085 --> 00:08:33,568 B. I've had one, here you go; 196 00:08:33,592 --> 00:08:35,537 or C. I've had one and I'm not telling. 197 00:08:35,561 --> 00:08:37,277 Thankfully, I was able to answer A, 198 00:08:37,301 --> 00:08:40,849 and I say that honestly, in case my life insurance agent is listening. 199 00:08:40,873 --> 00:08:43,272 But what would have happened if I had said C? 200 00:08:43,296 --> 00:08:45,697 Consumer applications for genomics will flourish. 201 00:08:45,721 --> 00:08:48,170 Do you want to see if you're genetically compatible 202 00:08:48,194 --> 00:08:49,424 with your girlfriend? 203 00:08:49,448 --> 00:08:52,411 DNA sequencing on your iPhone? There's an app for that. 204 00:08:52,435 --> 00:08:53,776 (Laughter) 205 00:08:54,245 --> 00:08:56,530 Personalized genomic massage, anyone? 206 00:08:57,578 --> 00:09:02,145 There's already a lab today that tests for allele 334 of the AVPR1 gene, 207 00:09:02,169 --> 00:09:03,553 the so-called cheating gene. 208 00:09:04,377 --> 00:09:06,392 (Laughter) 209 00:09:06,416 --> 00:09:09,043 So anybody who's here today with your significant other, 210 00:09:09,067 --> 00:09:11,934 just turn over to them, swab their mouth, send it to the lab 211 00:09:11,958 --> 00:09:13,227 and you'll know for sure. 212 00:09:13,251 --> 00:09:14,362 (Laughter) 213 00:09:14,386 --> 00:09:16,812 Do you really want to elect a president 214 00:09:16,852 --> 00:09:19,114 whose genome suggests cardiomyopathy? 215 00:09:19,138 --> 00:09:20,998 Think of it -- it's 2016, 216 00:09:21,022 --> 00:09:22,728 and the leading candidate releases 217 00:09:22,752 --> 00:09:24,834 not only her four years of back-tax returns, 218 00:09:24,858 --> 00:09:26,311 but also her personal genome. 219 00:09:26,335 --> 00:09:27,545 And it looks really good. 220 00:09:27,569 --> 00:09:30,165 Then she challenges all her competitors to do the same. 221 00:09:30,189 --> 00:09:32,124 Do you think that's not going to happen? 222 00:09:32,148 --> 00:09:34,382 Do you think it would have helped John McCain? 223 00:09:34,406 --> 00:09:36,199 (Laughter) 224 00:09:36,223 --> 00:09:39,441 How many people in the audience have the last name Resnick, like me? 225 00:09:39,465 --> 00:09:40,623 Raise your hand. 226 00:09:40,647 --> 00:09:41,820 Anybody? Nobody. 227 00:09:42,275 --> 00:09:43,720 Typically, there's one or two. 228 00:09:43,744 --> 00:09:46,297 So my father's father was one of 10 Resnick brothers. 229 00:09:46,321 --> 00:09:50,406 They all hated each other, and all moved to different parts of the planet. 230 00:09:50,430 --> 00:09:53,349 So it's likely I'm related to every Resnick that I ever meet, 231 00:09:53,373 --> 00:09:54,524 but I don't know. 232 00:09:54,548 --> 00:09:57,585 So imagine if my genome were De-identified, sitting in software, 233 00:09:57,609 --> 00:09:59,993 And a third cousin's genome was also sitting there, 234 00:10:00,017 --> 00:10:02,318 and there was software that could compare the two 235 00:10:02,342 --> 00:10:03,699 and make these associations. 236 00:10:03,723 --> 00:10:07,031 Not hard to imagine. My company has software that does this right now. 237 00:10:07,055 --> 00:10:08,223 Imagine one more thing, 238 00:10:08,247 --> 00:10:11,482 that that software is able to ask both parties for mutual consent: 239 00:10:11,506 --> 00:10:13,831 "Would you be willing to meet your third cousin?" 240 00:10:13,855 --> 00:10:15,505 And if we both say yes -- voilĂ ! 241 00:10:15,529 --> 00:10:17,306 Welcome to Chromosomally LinkedIn. 242 00:10:17,330 --> 00:10:20,555 (Laughter) 243 00:10:21,648 --> 00:10:23,641 Now this is probably a good thing, right? 244 00:10:23,665 --> 00:10:25,253 Bigger clan gatherings and so on. 245 00:10:25,277 --> 00:10:26,978 But maybe it's a bad thing as well. 246 00:10:27,002 --> 00:10:29,283 How many fathers in the room? Raise your hands. 247 00:10:29,307 --> 00:10:32,635 OK, so experts think that one to three percent of you 248 00:10:32,659 --> 00:10:34,762 are not actually the father of your child. 249 00:10:34,786 --> 00:10:36,540 (Laughter) 250 00:10:36,564 --> 00:10:37,740 Look -- 251 00:10:37,764 --> 00:10:41,740 (Laughter) 252 00:10:42,711 --> 00:10:45,076 These genomes, these 23 chromosomes, 253 00:10:45,100 --> 00:10:48,964 they don't in any way represent the quality of our relationships 254 00:10:48,989 --> 00:10:51,682 or the nature of our society -- at least not yet. 255 00:10:51,706 --> 00:10:53,501 And like any new technology, 256 00:10:53,525 --> 00:10:55,314 it's really in humanity's hands 257 00:10:55,338 --> 00:10:57,536 to wield it for the betterment of mankind 258 00:10:57,560 --> 00:10:58,711 or not. 259 00:10:58,735 --> 00:11:00,958 And so I urge you all to wake up and to tune in 260 00:11:00,982 --> 00:11:04,378 and to influence the genomic revolution that's happening all around you. 261 00:11:04,402 --> 00:11:05,553 Thank you. 262 00:11:05,577 --> 00:11:07,269 (Applause)