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  • Good evening, ladies and gentleman.

  • I'd to welcome you to tonight's event and uh I'd like to thank you for uh for attending.

  • Uh my name is Brandon Allgood, I'm a UC Santa Cruz trustee and one of the co-organizers

  • of this evenings event. Um before we begin, I wanted to say uh say some things

  • uh real quickly to the UCSC staff that have done a lot of work to put this event together

  • As well as QB3 for co-sponsoring it and uh allowing us to use their space here.

  • Um tonight's, oh before I begin, uh another, I also wanna acknowledge two groups that have that have

  • co-sponsored tonight's event, the UCSC Entrepreneurship and Business Group

  • and the San Francisco, Bay Area Slug Attorney Network. So...

  • [Laughter and applause]

  • Uh welcome to those groups and thank you for your sponsorship.

  • Um tonight's subject is one that uh I've personally been been thinking about a lot

  • um over the last couple of um over the last couple of years uh there's

  • been you know, we're really on the on the verge of the age of personal genomics

  • and through the advancement of science, uh you know, we will see in the next

  • 5 to 10 years uh new treatments for diseases and uh new, possibly and hopefully, cures for disesases.

  • Diseases that plagued plagued humanity um but you know, I feel that through that there's

  • an advancement of science but there also has to be an advancement of of

  • public discussion, about not only the power of genomics but you know

  • how how we deal with genomics as a society

  • Um and I'm excited for the panel this evening and hopefully panels like

  • this are are are will help advance the discussion uh in the public

  • and so that so that you know, in a number in a number of years when

  • geno... when you can get your genome sequenced for you know, I dont know, David will probably

  • give the dollar, the dollar amount

  • when he comes up

  • but uh you know when you go to the doctor and you get your genome

  • sequenced uh just as a matter of fact that that we also have we also have uh we also have

  • things in place uh laws and and and what not to protect patients and to help

  • also to help science move forward. So...

  • uh its my pleasure, to introduce a man that uh I think needs very little

  • introduction uh, David Haussler. Doctor Haussler is going to be kicking off this evenings

  • event talking a little bit about some of the science behind personal genomics

  • Uh doctor Haussler is an investigator at the Howard Hughes medical center,

  • uh Medical institute and director at the center of Bio-medical Science and Engineering

  • and a distinguished professor of Bio-medical Science and Engineering at UC Santa Cruz.

  • So please join me in welcoming David Haussler.

  • [Applause]

  • Thanks so much

  • Terrific, thanks thanks so much.

  • and and and thanks to uh to Jenny for organizing this, this is a very exciting opportunity and we have

  • a a very important subject matter here. There could be no more exciting time

  • then now to be involved in science and especially science as it relates to medicine

  • and other things that are very deeply affecting our lives. The fact is that

  • 3.8 billion years ago there wasn't DNA. Since then its been pasted on from parent to offspring

  • through all of these eons and its in your bodies right now.

  • [Laughter]

  • Scary? huh? The people, people had this thing about DNA like it has uh you know this special magical powers

  • or theres aww and so forth.

  • Its in your body and and making a lot of what you are. So what does it mean to be in the

  • era of personal genomes? Well it was just 12 years ago that we realized a dream, we the the human race

  • realized a dream that actually began with Bob Sinsheimer and others like him.

  • and I'm very pleased that Bob is here in the front row

  • [Applause]

  • To actually read that sequence of DNA

  • That message that was passed on for 3.8 billion years, the audacity of Bob's

  • first proposal to actually do that caught the scientific community by surprise and that turned into

  • the human genome project. And it, a particular source of pride for UCSC.

  • That the results of that project, the first sequence of A's C's T's and G's 3 billion of them,

  • From the first individual who was sequenced was posted on the internet on July 7th

  • from the University of California, Santa Cruz.

  • That is the first time that humanity got its glimps of this DNA message

  • that had been pasted on for so many eons

  • and its the first time we had a chance to really look at it and understand it.

  • We looked at this as a representative of all of humanity because we are 99.9% identical

  • to each other. It was essentially a universal map of humanity and our molecular

  • heiratige. It cost an excess of 100 million dollars to produce that first sequence.

  • as you see on this chart and that's just from chemical reactants and the machines and

  • so forth that were used. The project itself was almost 3 billion dollars.

  • This technology has been the most dramatically improved technology

  • of any I'm aware of. If you see the white line here. Thats Moores law improving

  • by a factor of 2 every 2 years. That took us from computers of the 50s to computers today.

  • The gold line is the improvement in DNA sequencing technology from

  • this time.

  • What cost 12 years ago, over 100 million dollars, next year will cost 1000 dollars.

  • Hundred, thousand times improved.

  • a project with the Long Now Foundation

  • with a mission to provide deep ecological enrichment through extinct species revival

  • Yes, pretty interesting stuff will have to have another panel on that

  • ah (laughs)

  • She currently serves on the Board of Directors of the Personal Genome Project,

  • which aims to sequence and make public,

  • the complete genomes and medical records of a hundred thousand volunteers

  • in order to enable research into personalized medicine

  • A proud graduate of UC Berkeley

  • Please welcome Ryan Phelan

  • (applause)

  • Um

  • And ah

  • sorry I didn't have the right order

  • Ok and

  • Gail Jarvik,

  • sitting next to Ryan and me

  • Gail is the Head of the Division of Medical Genitics and the Motulsky Chair

  • Professor in Medicine

  • and Professor of Genome Sciences at the University of Washington Medical Center up north

  • In case you were wondering where it was

  • Doctor (laughs)

  • Doctor Jarvik

  • I'm I'm from Kansas City, you know, you think of these things

  • Um

  • Doctor Jarvik specializes in the mathematical genetics of complexity

  • um

  • complexity inherited, sorry

  • complexity inherited human diseases, such as Cardiovascular Disease, Dementia, and intellectual function

  • and Cancer

  • She is actively investigating the implementation of genomics in clinical care

  • So this meeting of genomics with medicine which is all critical at this moment

  • Both through her leadership in the Emerge Project,

  • which is a nationally founded project to figure out how we should,

  • when we should link electronic medical records to genomic data

  • Um as well as in the National Clinical Sequencing Exploratory Research Consortium,

  • which applies high three-put sequencing to clinical care

  • Thank you for being with us here tonight, Gail

  • And please welcome Gail Jarvik

  • (applause)

  • Ok, so, um as the panel knows, but I just want to fill in the audience

  • What we are going to do is, I am going to pose, um, ah, a question

  • Ah each, to each of the panelist

  • and they're going to have the chance to respond to that

  • so the rest of the panelist will chime in with any responses that you all might have to that question

  • Um so there is one question specifically written for each of the panel members to bring different expertise to the table

  • Um and then I'll have one question at the end that is posed to all of them

  • and then it will open up to you all to have a chance ask questions

  • Ok

  • So that's the basic format

  • Ok, so, um, I, my first question is to you, Gail

  • Ah, turn around here, can't see you well

  • Um, so

  • Ah, so as David has mentioned, um, and as I just recalled

  • We've seen huge progress in sequencing genomes in the last five years

  • and so now it's a reality that the genomic data is potentially there

  • for, to be used in medicine

  • And this is a huge, scientific and technical feat that we've managed to do that

  • And to do it as cheaply as we can

  • So, what I want to ask you is where we're at in the next big challenge,

  • which is how do we make this sequence meaningful for medical care?

  • What at the moment is the medical value of, which you say, of genomic information

  • and how should the medical system respond

  • to that, um, that value in this moment?

  • Should patients have access to their genomes, and if so in, in what form?

  • So what, basically, what is the value of this information right now?

  • And then the converse part of that is,

  • as we find, well I am going to let you answer that and then I'll ask you the second one

  • (Panel Member) (laughs) That's a good place to start

  • What is the value right now of the genomic information?

  • (Gail) So, really, in a current utility because it is a fast moving target

  • So I've been a clinical geneticist for over 20 years and much has changed

  • in that time

  • And right now, we're just to the point where we are using whole genomes in the clinic

  • And at University of Washington we're very lucky to have, ah, very good genomics

  • and we are a center for clinical sequencing

  • We have one of six national grants to apply that sequencing into clinical care

  • So we're actually doing a randomized control trial of patients with Colon Cancer,

  • where half of them would get usual care and half of them where doing what we call,

  • exome sequencing,

  • so sequencing all the coding regions of the genome

  • But that's a partnership model

  • And we have both things going on in the real world

  • and the fact is there are really compelling arguments from both ends of that spectrum

  • But you can't play both games at the same time and have to make choices

  • So, I think this is a scenario where we don't have the right answers.

  • Maybe we will if we discover some of these things make mistakes or bad things happen

  • But we don't know where that's going to happen right now.

  • First of all, I think what you're doing is from a clinical perspective. Right.

  • I actually found my APE4 status from a cardio panel.

  • Because they didn't think about the Alzheimer's aspects of it when they returned it.

  • So, I got the Berkeley workout and they told me I had a APE4 variant with no genetic counseling.

  • When I found the same thing out through my 23 and me, I had to go through a complex set of pages

  • before they allowed me to see it because

  • I mean, if I only had one copy but it increases my odds of Alzheimer's from 7% to 14%.

  • And so making sure you don't do that accidentally is actually important.

  • I fall on the general other side of it as poeple who are sick or have family members who are sick

  • can access these technologies outside of the institution.

  • They are going to.

  • So, there is a massive over investment in the cordunomics facilities.

  • So now you can buy these services. There's actually online market places that let you get PCR and sequencing

  • from condunomic facilities that competetive bids as an outsider with no credentials.

  • So groups of people will come together and sequence themselves if the system isn't doing research on them.

  • Though, they will get these files and hand them to researchers and mathematicians.

  • And a lot of bad decisions are going to get made as a result of that.

  • But if you are not a part of the existing clinical research system anyway

  • this is a ray of hope.

  • It may be a false one; but, just 2,500 foundations do at least 100,000 dollars in research in the U.S. privately.

  • I'm starting to think that giving it to academics is not the best way to spend it.

  • Right, so

  • Pulling people, generating data, and getting that data to mathematicians is becoming a credible alternative

  • Who explains it to the subject?

  • Nobody does, they come together and commission it themselves. It's outside the entire system.

  • But is it reasonable to say that I'm going to pay 5,000 dollars

  • And, I'm going to get a genome back to me

  • And I'm not a geneticist. I may be a college professor in economics and I'm certainly probably not a Fireman

  • but someone has to put it in context.

  • "Is it reasonable?" is a different question that "Is it happening"

  • Oh sure, It's happening!

  • But, if you think about the broader context from my stand point as a clinician.

  • We have people coming to clinic to have their Direct-to-Consumer genetic test explained to them

  • because they are not adequately explained.

  • And we have a flood of completely healthy people who are now medicalized by a choice they made.

  • And a choice that they had the right to make.

  • But then, you know, Is it the insurance system's burden to pay for those visits?

  • You know, there is a lot of downstream costs of that.

  • So, I'm not against that point. I think that you should talk about the pluses and minuses.

  • I'm going to get to that in my question. My question whether or not if its reasonable.

  • But, like the very thing that is reasonable about what the clinical system is doing is

  • pushing patients to do it theselves, outside of the clynical system.

  • And that has a significant impact of its own.

  • I'm just going to tell a funny little story and move onto Ryan's question.

  • Um, the machine, Um, the little machine, the sequencing machine

  • The desktop sequencing machine that was recently made that you could buy for like $50,000.

  • I was talking to someone who was selling those and he said he was

  • the company was working with the company who makes the mini's.

  • You know, that little car. (BMW)

  • Uhhhhhhhhhh, yeah. Is it BMW?

  • They were going to a marketing thing together where

  • there was going to be an add where, you drove to the beach in your mini with your sequencing machine

  • and you did your sequencing at the beach.

  • This was within their realm of imaginaries. Okay.

  • So, this brings me to my question to Ryan, whos been in the bussiness of figuring out what is meaningful

  • not just medically but also from a bussiness side

  • So, I'm going to ask you about both sides of that, and also from your consumer advocay side.

  • So, I'm going to start with the consumer advocacy point.

  • So start with plain trees. So you have a lot of experience working to get patient's access to information.

  • First through this brick and mortar library.

  • And then through to the company that you built that ended up being webMD.

  • that was extremely popular.

  • What has your experience been when in 2005, you moved into Genomics

  • What was different about this information? Was there something different about this information?

  • WebMD was enormously popular. Genomics hasn't been that popular.

  • It's a really good question and I would say that when I was initially, and this was 20, 30 years ago

  • thinking about helping patients getting access to medical information. It was really new terrain.

  • I mean patient education used to be a brochure and a doctors office if you were lucky

  • On about five topics, What is diabetes? What is heart disease?

  • Some of the older people in this audience are shaking their head

  • and there was a very patriarchal attitude then that patients should not have information about

  • how serious their illness was, the prognosis of their illness was never discussed in many cases

  • And it was assumed that doctor know best and that really the way a way medicine was run

  • and still in many cases today

  • Genomic information has a genetic exceptional ism.

  • A sort of attitude that, boy this is really loaded. patients really cant handle this information.

  • because of the uncertainty and because some of it, it could be very, as they say

  • it could be something like huntington's disease. It's got a high likelihood of someone developing this disease

  • but a lot of it has very minimal consequence to it

  • So the question is, can a patient ever make sense of that

  • So I'd say that, I think Genomics is today where we were 20 years ago thinking about serious medical conditions

  • like cancer, can patients handle the staging information

  • But what's happened is the internet and so what took 30 years to get to a webMD being ubiquitous

  • is now going to take us 5 to 10 years to get Genomic information ubiquitos

  • and just like the chart that David was showing all of us. its happening exponentially

  • and so I think that we are still at the early stages of people starting to get access to genomic information

  • But I think once they have it, it's gonna be ubiquitous

  • We're all gonna have it, and its not gonna be such a big deal.

  • And even the privacy I think is not gonna be such a big deal.

  • The rate limiting factor on it is high quality interpretation.

  • What do you do with all this information?

  • But I think it's important for consumers to realize we've been dealing with uncertainty in medicine

  • forever, since everyone of us has been alive. You'll read today that your de-nourished diet

  • is the way to go, or your ATKINS diet is the way to go

  • And it's flipped, the medication, you know, it's absolutely going to help you with cancer, for breast cancer,

  • it's the one that's only going to work for 20% of the patients and yet many women were on it for 6 years.

  • It happens. And it's because we're all dealing with science. And I think that genetics will really be

  • no different, and we'll develop a tolerance to it, to that uncertainty just like we do about diets.

  • I would love to get the other panelists perspective on that one. So this is the obverse

  • of the genetic exceptionalism, it will just be like the other information.

  • Yeah, I have a comment actually on that because we've been in the position of taking

  • people who were in big research studies, and sending them out what we call "reconsense" and asking them

  • now, can we put your information online? Do you want your genomic information back?

  • Because last time we told you we weren't going to give it to you.

  • And, do you want our newsletter? And they say

  • sure, go ahead put it online, a very small fraction of people say no to that.

  • They say sure I want it back, a small fraction of people say no to that. a lot of people don't want our newsletter.

  • Okay, I don't blame them. I get a lot of junk mail too. (laughter)

  • But, this idea that its all very scary and its got to be private, nobody want's anyone to see it. you know.

  • Is not the experience of human beings, What we've actually found is that the older the individual the less they care.

  • which is not what people predicted. Cause they were like if there is anything in there we probably know by now.

  • You know, if I'm going to get a disease. I've got it. You know. So.

  • Right. So, it's the younger people. Maybe it has something to do with media, internet savvy.

  • I don't know. But the younger people are the ones who rarely, if a rare person has a concern,

  • it's usually from someone young. You know, one thing I thought you were going to go to, because is was also

  • discovered at your place. Um. I thought you were going to mention was that one of the other things

  • that came out of some studies at the University of Washington, really important in our field, was

  • when you asked people who were already participating in research, obviously think it's important.

  • Would you have been happy if we had just gone ahead and done x or shared your data without asking you?

  • The answer is a very clear no.

  • The title of this paper is "Glad you asked" and it's something that actually we didn't know in our field

  • how will people feel about this and its really the overwhelmingly strong. Even from people

  • very sympathetic to research, good God, don't just assume that everybody is going to assume that it's okay to use their stuff.

  • it's really important, to us as human beings to be asked for permission for things that might actually effect us.

  • So, that actually came out of one of our big science papers.

  • Um, we came out of a big re consent project that we actually, Um. You know, the IRB said "You need

  • to go back and ask everyone what they think" and we said "Fine." But we decided to make a study out of that.

  • We asked people what they though of that process, I will say that there was a group of health patients that

  • are skewed, they are highly educated, they're highly informed, and that

  • I, dealing with patients who are more middle class, more blue collar, they have actually less concerns

  • they have sorta other things that they are worried about. But I think that was a very important paper because

  • a lot of places say, "well, they signed to share data. So, sharing is sharing, and put it online.

  • We decided, we were going to back and ask people. And they said yes. But thanks for asking.

  • Okay, I'm going to ask this question, and I'm going to need a brief response and I'm not going to ask for

  • feedback from the other panelists. And this is a question about, affiliated with the question with Bob.

  • Where is the business of personal genomes? So, is there... I mean, you know, the companies have

  • not been, you know, there hasn't been a huge demand for say 23andme when it came online.

  • A lot of these companies have not done so well, there hasn't been a huge market and all for this.

  • So, I guess my question is "Where is the business of personal genomes?" So, those companies

  • were doing personal genetics not full genome sequencing including my company, DNA Direct.

  • I think its important to note that my company was acquired by a fortune 35 company.

  • in 2010 called Med Co. And it's a large pharmaceutical benefit management company. it's

  • now a fortune12 company Express Scrips. And, the reason that they bought it is because they

  • understand the value of genetic information for targeted drug therapy. And, so where the

  • money in all this, and this is a good thing, in that, you know that none of us want to take drugs that

  • aren't going to work. And most drugs don't work for more than 50% of cases. So, I'm going to leave

  • it at that, but I'm going to say one other thing, where the money is in genome sequencing. We

  • just saw a month or two ago one of our most prominent sequencing companies called Life Technology

  • here in California was acquired by the Bejing Genome institute. and BGI.

  • Comple.. OHHH! Complete Genomics Inc. I'm sorry.

  • I'm glad a lot of people know about this. and I see Paul Billings here. Complete Genomics.

  • And what does that mean? When one of the largest sequencing company in the world is entering this

  • domain. So these are really early days, these are companies, large companies making big plays

  • in the translation of these technologies in the consumer market.

  • So, that leads to my question for you Bob, which is, If this, if genomes, we talked about the

  • value of genomes and if they are economically valuable, then people will presumably want

  • to patent them or they will want to own them and you've been following those debates

  • whether or not we should build a patent, the BRCA1, the current case, the BRCA1 and 2

  • So my question to you is, What are the dynamics in this realm? People have said

  • we shouldn't be able to patent life. That this is the wrong thing to do. That

  • Myriad should not have this exclusive patent over BRCA1 and 2. We should not be able to

  • patent genetic variance. Maybe we should be able to patent something else but not that.

  • So what kind of dynamic would you say are different in the domain than in other areas of patenting?

  • So, I think the main thing to notice is the theme of what we're talking about is scale.

  • And, what we've gone through in a really short period of time, is thinking about genes as

  • discrete things that you could put walls around. And that you think of one at a time, like the gene

  • that gets mutated gives rise to Huntington's disease or risk of Breast Cancer or

  • Alzheimer's disease or whatever. To scanning your whole genome and getting all that information

  • So, our change, we're changing something into two respects. One is we're going into a world

  • where it's not going to be a great big genetic fest. We are going to be changing our world where

  • the question is, do you know your genome? Only needs to have an answer once, and that is yes.

  • And that could be because you want kind of drug metabolism you have, or who your ancestors were,

  • or who you're related to, or it might be something medical. Your risk of this or that thing.

  • Your risk of this or that thing

  • But if you have a yes to any of those things, you may have your genome down

  • because it's going to be cheaper to do that than it will be do all these other things.

  • mm-hmm

  • umm..

  • And once you've got it

  • It's no longer a genetic test question, it's a question of what are you gonna do with the information

  • Cause the information is now there it exist

  • and the policies are now about management of information and uses of information

  • Not about

  • should you get a genetic test.

  • Yet we are still thinking about things as a genetic test.

  • Now, how's that got to do with property and money and patents?

  • Well..

  • Our legal system..

  • So those of you, I can't talk about this without talking about the case that probably all of you know about.

  • There is a case, that has just last week, was appealed to Supreme Court for the second time.

  • on

  • the

  • cluster of, uh, two genes

  • that, uh, have multiple patents on them for

  • the inherited risk of breast and ovarian cancer.

  • And this is a case that's been going on since May of 2009.

  • And the appeals of

  • So, I, I may be completely wrong about this

  • but I actually think Supreme Court will take this case

  • and

  • um

  • If you start from where most people start,

  • the first time they confront this question is: how can you patent a gene?

  • And the anwer for 30 years has been

  • that yeah of course you can because you've isolated and you've done something to it

  • Well, the answer to that question might change by next June.

  • And it could be the answer will be known.

  • You can't patent a human gene.

  • That's a very foreseeable

  • (clapping and laughing)

  • That's a very foreseeable thing the Supreme Court might do.

  • um

  • and

  • So, yet

  • we've lived through 30 years thinking about that, so

  • Now, what's that got to do with this? Well..

  • Back to where David was.

  • He talked about the thousand dollar genome.

  • Right now, it costs about thirty-four hundred dollars to get the test for those two genes.

  • Well, hold it..

  • David said you could do your whole genome

  • for a thousand dollars.

  • Now, that doesn't include the interpretation...it's not at the same level as of accuracy

  • but

  • hold it.

  • Are we gonna do that anymore?

  • Are we gonna test for one gene at a time or two genes at a time?

  • I...

  • I don't think so.

  • um

  • So, we're already at the point

  • where the world is about to change in a very dramatic way

  • but please, remember I just said we've got a case going Supreme Court

  • about science that happened in the mid-1990s.

  • We're gonna have a decision

  • by the middle of 2013

  • for patents that are about to expire in 2014 and 2015.

  • (laughing)

  • For a business model that is actually out there in the world.

  • And it could be that the Supreme Court is gonna tell the world

  • "Oh, you know what? They shouldn't have gotten that monopoly."

  • So..

  • Isn't that interesting? So, here's, here's the thing

  • Um, now, what's that got to do with personal genomics?

  • All the decisions that are being made about the business models

  • the bio-traumatics.

  • We don't actually know what's patentable right now.

  • The rules are changing

  • as a lot changes.

  • And moreover, there are these clusters. They're about

  • um

  • last year we've got a database of

  • patents that have been granted in the United States, let's say, something about DNA or RNA

  • that has about sixty-two thousand patents in it.

  • um

  • Of those, it looks like about 4,000 of those

  • say something about a human gene.

  • um

  • and

  • Those exist.

  • And if what you wanna do is scan the whole genome.

  • It's quite possible that

  • you're gonna bump into some intellectual property that somebody has claimed.

  • and

  • The fact is there is no soul on the planet

  • who knows the answer to this question.

  • If you scan your whole genome,

  • are you infringing patents or how many patents are you infringing?

  • This is the first question that Judge Bryson asked the lawyer for myriad genetics

  • in this case that I just deluded to.

  • and

  • the lawyer for myriad genetics said

  • "No, you're not infringing our patents."

  • and

  • the lawyer for the American Civil Liberties Union said, "Of course you are, read the english in that patent."

  • And, so

  • we don't know the answer to that

  • yet, many business decisions are being made.

  • And, so, think about this scale thing.

  • yeah

  • You've got a lot of stuff going on. So, that's...

  • we're in a very very murky world.

  • where we've got uncertainty about the science

  • we've got uncertainty about the legal interpretation

  • of

  • the

  • what's patentable and what isn't

  • and we've got zillions of business decisions that matter about our future

  • that are being made in the face of all this uncertainty.

  • mm-hm

  • so

  • And we actually don't even know how important the patents are in the first place.

  • They were very very important for the early history of genetic testing

  • In this particular company's case.

  • Um, they make...they've..they've

  • they've done about a million tests.

  • and they make about 400 million dollars a year on this one test.

  • So, this is the block buster model of drug development as applied to a diagnostic

  • and look

  • love it or hate it, capitalism works.

  • And, um

  • those are the rules that we set up

  • it's not like this is good versus evil

  • this is a particular business model that worked really well for that company

  • but a lot of people don't like it.

  • It's incompatible with another set of it of

  • completely open science

  • the sort of thing we've gotten use to in software

  • where patents don't matter nearly as much.

  • So..

  • Well I wanna...

  • I was leaning in your direction.

  • Yeah, I wanna jump in there and go to John because, you,

  • so, capitalism works, but there's a lot of questions about what form of capitalism we're talking about, too.

  • And what is a place for openness and uh,

  • what kinda patents what kinda property

  • So, when I turn to John Will Banks who has really been a strong advocate for

  • um

  • putting things out into the public domain, open access

  • um

  • I wanna ask you if you're a capitalist.

  • Um, you are! You started a company! Ha.

  • I'm a senior fellow in entrepreneurship.

  • ......that's right, of course, yes.

  • Right, right, right, yeah.

  • I'm feeling like...

  • I'm, I'm, I'm guilty.

  • Of capitalism.

  • You weren't accused.

  • um

  • uh

  • So

  • You, so you

  • So, this is of course a very interesting dynamic in genomics

  • is that there has been a push from the very beginning to put things out in the open. I mean..

  • David, your group has been involved in the push to have things out in the open and have it be public

  • public

  • and yet, there is a very strong current of..of..of

  • of development of...of commercialization in this domain

  • also, so, one of the questions to how these things work together

  • but my question to you

  • is, um, you

  • I wanna answer that question.

  • You wanna answer that one?

  • No, it's okay, go ahead.

  • Yeah, well I'm gonna ask you this one

  • We only have an hour.

  • It's impossible, really, this task.

  • um

  • so

  • You have been really at the forefront of

  • trying to figure out how to share information

  • put that out there in the public so that most people have the...a chance to play with it

  • right? And it's not

  • um

  • crowd up into

  • um, silos where people cannot see it.

  • um

  • So, what I wanna ask you is, how your efforts at Sage My Own Networks

  • has different from you...differed where you're trying to get the genomic information out there

  • from other efforts you've made to get information out there

  • so, when it's genomic information, this goes back to the genomic exceptionalisms or something

  • anything different

  • practically, politically, ethically,

  • about genomic information

  • to get it out there to be shared than at other domains?

  • um

  • so

  • I'm...I'm gonna start

  • with a quick story

  • and then

  • come back to the details. So, so I've

  • been sequenced. Right? And

  • I got another

  • besides the AppFolio, I have, uh, a prostate cancer marker. And so, I've actually

  • shown this information to geneticists and to clinicians to gauge the different reactions I get. So I

  • show my variation on the screen

  • and the geneticist freak out.

  • So, you're telling the world you have this marker. What's wrong with you?

  • And the clinician say, "Oh for god's sake, don't tell your doctor."

  • (laughing)

  • Because then they're gonna...they're gonna

  • run a PSA test and that has a high false positive and then they're gonna do a biopsy and that has a high

  • side effect and then you're gonna...and you're gonna basically wind up, you know

  • and you're gonna be incontinent by the time you're 50

  • (laughing)

  • just trying to know something because, yeah...that's a lifestyle choice right?

  • But...because I would've been medicalized, right, to use your work

  • because...because of a piece of information that we don't understand yet.

  • And so, the reason I...I tell that story is that I think we're

  • heading towards a phase where

  • there's a gap between the technical capacity, degenerate data,

  • and the social capacity to understand what to do with it

  • and

  • when you have that sort of gap

  • open systems are a fairly good way to rapidly create scale.

  • Um, in a way that is far more cost-efficient and far more innovative as a whole

  • than having a set of interlocking monopolies that negotiate or litigate with each other.

  • And so, you can compare our immobile phone ecosystem

  • Right? To the internet and see the difference between those two

  • systems, right? So, right now you have

  • set of companies who sue each other, who run our mobile phone universe, uh

  • and where as if you're talking about voice over IP

  • because that's not voice over myspace protocol

  • voice over Facebook protocol

  • voice over Apple protocol.

  • Uh, you have Skype

  • you have calling cards that let you call anywhere in the world, you have Vonage.

  • You have a thousand flowers blooming, making lots of money

  • because at the core there is no property.

  • At the core, there is a common set of protocols

  • and a common way of doing things that has not been propertized.

  • And so

  • One of the reasons that I believe in the open systems is that they have been proven over time

  • right? Given enough standardization of technology, of technical formats, of the legal regimes and so forth

  • to rapidly scale

  • and to attract because of the low barriers of entry

  • entrepreneurs, right? Crazy people.

  • Who come in and fail over and over and over again.

  • But because of the sheer scale of the number of attempts

  • you get success.

  • And...and that's why I think we need open systems in scientific knowledge, generally.

  • Now

  • and i started off

  • with semantic processing of literature and databases, right, that is starting to take affect.

  • Now, you say what do we need to do with genomes.

  • And so, if you wanted to build a longitudinal map of an individual's health

  • and a way that you can have some sort of clinical benefit.

  • You need to know their genotype. That's a baseline.

  • Right? You need to know what that genotype is doing.

  • What's expressing?

  • Ideally, you have

  • classic labs information about what's going on in that person's blood.

  • And

  • feces, and saliva, and other systems.

  • And ideally, you know what choices that person's making.

  • Right? Are they hanging out at McDonald's or are they going to the gym?

  • What are the things that they're doing on a day-to-day basis? What are they being exposed to?

  • Right? That's driving this

  • Right? And if you have those four things then maybe you can build a map of an individual's

  • health.

  • And if you can do that for a population

  • maybe, you can understand why some people respond to a drive

  • and others don't in a way that's heuristically accurate.

  • And that's what David eluded to when he said, "big data" right?

  • We're like ping pen and peanuts who walk right on and we just toss off data, right, everywhere.

  • And we're starting to be able to capture that data

  • and use it.

  • Right?

  • That's what I'm saying, when I grew up I didn't toss off any data.

  • Well, we were, right?

  • It was called your permanent record and you didn't want anything bad in it.

  • Right? And so, your genotype is sort of like your permanent record.

  • Right?

  • Modulo, right? Telomeres and tumors, right?

  • But that's more or less your...your..your permanent DNA record.

  • And so, what's different about it is that

  • you can't really change it.

  • Someone else can order it for you.

  • Someone else can publish it, and sell it, and trade it.

  • Right?

  • That's what 23 miese model is...is to do that.

  • Uh, and

  • you all very really have agency over that unless you have paid for the agency.

  • So, having the choice of whether receive your information or not is agency and that's really important.

  • By, understanding the true cost, right? That if you've paid 99 dollars for your snip

  • Right? You haven't actually paid for your snips.

  • You've paid for a copy of your snips and the other copy is sitting at a company being monotized.

  • A snip is a single nucleotide.

  • Right. If you've paid for your basic minimum profile

  • So, that's different in genomics.

  • Uh

  • The fact that the law doesn't, yet, consider it

  • identifiable information

  • but it's obviously identifiable information is different in genomics, right.

  • Umm

  • In the need to educate people

  • about the choice they're making

  • so they make an informed consent

  • as opposed to this sort of consent you make when accept an app on the app store

  • is a big difference.

  • Because there's an obligation to tell people about that gap between

  • the technology and the capacity to interpret it.

  • So, that...so, that you only get people in

  • who understand the uncertainty.

  • And say you know what, I

  • I believe that the social benefit of sharing my information

  • is greater than the risk that may come from it.

  • I that the primary value right now is research value, not clinical value.

  • But that if we're gonna make the transition from research to clinical values

  • some number of us have to be willing to step out in front and take care of us in the back.

  • And the personal genome project was the start of that in many ways for me.

  • And what we're seeing now is the ethos of the personal genome project

  • the sharing ethos of that

  • starting to spread out so that you say if I've paid for a test

  • I'd like a copy so that I can donate it to a more generic project.

  • Right? If I have...If I have participated in a clinical research study

  • I want the data about me.

  • So, that I can then forward it on to another researcher who'll then interpret it

  • fully understanding that I shouldn't use this for clinical purposes.

  • And so, actually, my...my

  • uh

  • genotype sits on four different websites

  • Right? And is being crowd annotated on three of them.

  • Right? Not because I wanna take it to my doctor and decide what to do about

  • prostate cancer, but because it's a really interesting way to figure out

  • Is this uh...is this actually a valid way to annotate a genotype?

  • Now, that's not for everybody.

  • But it should absolutely be plausible for those of us who want it and who chose

  • who sort of have opted in.

  • So, I'm...

  • What just...just to capture one point that John was just bumping up against that we shouldn't lose.

  • hmm

  • One of the other thing's that I don't know that it's distinctive to genomics

  • but here's one of the things that's absolutely true.

  • You asked, "What can yo make about..what..what can you derive from genome information right now?"

  • Loose analogy

  • that's kind of like asking

  • Alexander Grambell

  • and Watson in the other room

  • "What's the value of the telephone right now

  • when all it did was make a phone call from one room to the other?"

  • We had a technology at that time that was called yelling.

  • (laughing)

  • But the thing is, it had almost no value

  • but is a telephone valuable?

  • Is the internet valuable?

  • Was the first communication of an email I forgot my toothbrush in London?

  • Please bring it home.

  • That wasn't terribly valuable, but it was...its

  • email is absolutely everywhere. Love it or hate it, again. But

  • But the thing is, this is network effects.

  • And one of the things that is distinctive about

  • genomic networks effects is we are gonna care about these answers in a really big way

  • in a very big and personal way in some instances.

  • Almost all of us are gonna find something out that matters to us in a big way.

  • And some of those things that we're gonna find out are the sorts of things that we don't necessarily wanna share.

  • And yet, the only way to find out what's meaningful out of the genome

  • is to have a lot of people sharing a lot of information

  • over a long period of time. So, how do we solve that problem?

  • Okay, so I'm...

  • I'm going to end this session with what was going to be my last question.

  • But it actually opens out to the audience.

  • Which is this question about it's not for, what I'm hearing, is it's you saying it's not It's you saying that

  • It's not for everyone now, but it has to be for some people now, so it can be for everyone later.

  • So I'd want to just note that for vote 23 A and B and the personal genome project.

  • Who practically this has been for, has been mostly well to do well educated people.

  • Who don't have reasons to fear discrimination from the medical system.

  • Or fear discrimination for all the reasons that biological data has been used to discriminate against people.

  • So essentially mostly white, not entirely but mostly.

  • So my question to you was going to be, why do we think this is the case and what does this tell us?

  • What I'm hearing is maybe that might be the case now because those are the people in the know.

  • Or those are the people who could be informed.

  • But I suppose I do want to ask that question.

  • That is what does that tell us that that is the demographic of people who are in the moment.

  • You know, participating in twenty three me or participating in the personal genome project.

  • I don't know about when it's a public effort, they do make efforts to have a diversity of samples.

  • So I guess my question is what does that tell us? And maybe I will just take a brief answer and then open it up.

  • Because it would be a question to the audience too.

  • You know, who is this for? And how you all would think about, given what you've heard us say up on the panel.

  • I'd say it tells us a lot about marketing and that's it.

  • You know it really is.

  • And in Twenty-Three and Me, you know did a very good job marketing a high-end product early on.

  • I think other companies took other approaches.

  • I'm not sure about those demographics myself. They weren't true in my company.

  • And I think with all early adoption we see people who are more fluent being able to pay for the technology.

  • Utilize the technology.

  • But what we've seen with the mobile phone and the computer is that the world is wired.

  • And they leap frog.

  • Countries all over the world never put in land lines or villages never put in land lines.

  • They all have mobile phones today.

  • And i think we're going to see the same thing with a greater access to genetic information.

  • Okay.

  • If I could make one answer to your question.

  • It would be that we should be paying attention is, be careful and I mean that in the following sense.

  • If there's a science that happened in the last century that caused social convulsions.

  • It was the intermingling of eugenics and genetics and racial hygiene.

  • And the preconceptions we have of populations.

  • That are based on our history and our culture that can be rapidly reinforced or not.

  • Depending on how you choose to use data.

  • And we are going to be generating tremendous amount of that.

  • And the thing is that different groups of people are going to be helped and harmed.

  • By that incredibly complicated process in very different ways.

  • And not all of those groups are going to perceive the value of the genome in the same way.

  • The risks and the benefits in the same way.

  • And we shouldn't assume that the early adoption profiles are going to be the same as the people.

  • There are going to be some mistakes that are likely to be made.

  • And the one thing that we can learn is if we are paying attention they might be less cataclysmic mistakes.

  • If we're thinking what are the policy consequences along the way.

  • Instead of letting things gets completely out of control.

  • And yet, there are two quick points.

  • One is that the emergence of the people with rare diseases.

  • Who are trying to push this is going to create some more diversity.

  • Because these are not the people with the iPhone gene.

  • Who were the early people of the Twenty-Three and Me.

  • I'm not kidding.

  • I've talked to their first data scientist. We were afraid we were going to find the Apple gene.

  • And you know, people with rare diseases that cut across.

  • Either terms of having one or having one of your first degree social network.

  • It's five to ten percent of the country, either has a rase disease, has one in their family, or knows somebody.

  • And that gets you a certain amount of diversity.

  • The other is that the VA is sequencing a million bats and the

  • (woman) but they are not sharing the data

  • Yes

  • But i tend to think that what they are going to do by driving down the cost of sequencing a million people

  • Is going to, there is going to be some chunk of those people who are going to get their data

  • And want to share it.

  • The thing that you see in commons-based systems over and over again

  • Is that it doesn't matter whether or not fifty percent of the population of programmers wants to be open source.

  • Or if photographers want to be open source.

  • If you raise the sample size high enough

  • You generate meaningful, large populations of commonly shared information.

  • So, that's the rule, is you drive the overall number up.

  • You don't try to mark it to increase the percentage that wants to give it away.

  • But, there is, I think you are just going to see it happen because of the pure scale.

  • And because the military is going to sequence a million people

  • There's going to be a million military families that know about sequencing that don't know about it.

  • And if it's only five hundred bucks and there is an autism cluster.

  • Some chunk of them are going to get sequenced and are going to share it.

  • And that's the math, right.

  • And, it's not, again happening out to the system because the cost is decaying so much.

  • Okay, I am, I were a little bit over.

  • I do want to give a chance for the audience to have a few questions.

  • So at this point, I want to open it out to all of you.

  • You've heard a range of possibilities with this and I want to hear from you.

  • Are there any burning questions out there?

  • So, okay, I am going to go with. (do you want to handle this Brandon?)

  • Brandon: No, go ahead

  • Alright so in the front row, you had your hand up first so, right there yeah

  • And could you say just who you are and-

  • Well my name is Jessica Burnhart, I'm UCSC Alumni, that's about it. (great, great thanks)

  • And I find this interesting.

  • One of the things that I see is that you are all talking in a very assumptive way

  • Is about people giving their genomes and whether or not they should share them.

  • What I'm interested in is why shouldn't I be monetized?

  • After all, everybody else is going to be making money off of my genome.

  • The drug companies, the research scientists, everybody else is going to get it, and I'm not.

  • I mean, I think it's outrageous that people are so expected to give all their data.

  • And in this case, it really is you because it's your DNA sequence.

  • And you're not allowed to get any money.

  • It's sort of like that book that came out recently about this poor woman who died years ago.

  • But her ovarian cancer lives forever and her family is never been compensated for this.

  • And everybody thinks this is just fine.

  • And i think that it's outrageous.

  • I mean, it's one thing to say you can't buy or sell organs but this is very different.

  • This is me.

  • Why should everybody be making money off of me and I'm curious to know what you guys think about it.

  • Okay

  • Well I think the first thing you've been hearing from I think everybody on the panel

  • Is that it's all about permission

  • And so, I don't think anyone expects you or is going to request that you do this

  • Unless there is some sense of voluntarism.

  • And I don't think we have a monetization.

  • Or I don't know that there is a system for monetization today.

  • (man on panel) And I'm not sure the net present value of your genome is high.

  • I mean, that's. (woman) but not

  • Jessica- are you implying drug targets that you can find things like, whose cancer lives forever?

  • But that's a cell line, right.

  • That's a physical product which is different.

  • So I mean, the value of one person's information in Facebook is very low.

  • The value of the aggregate information in Facebook is very high.

  • So that's why Facebook gives you a free product, in exchange for the information in the aggregate.

  • And by the way we don't know what's the value of Facebook.

  • Yeah it has a debatable value of Facebook.

  • It's clearly valuable at Target, right, so maybe valuable at Facebook.

  • (from audience) Can a drug company can take me and everyone else's and figure out a drug target.

  • For where their thing is, and they make a million blood infested drug

  • A billion dollar drug, or whatever it is, then I should get a piece.

  • Even if it's a very little piece, but it's a piece.

  • That has been, this has been discussed about Facebook too, you know

  • Should everyone get twenty cents or should someone get fifty thousand?

  • I mean that gets to the Capulan's point

  • But I would like to take

  • What I'd like to do is collect a few comments and then have a final response from the panel.

  • So if we can just collect here and Ted there

  • and um yeah Kate in the back

  • Hi my name is Henry Vigallarma- confrontational biologist at AmGen.

  • My question is about phenotype, just like we had individual genetic tests.

  • There really is no way to get everybody's, to get a person's entire array of phenotype is not even defined

  • But that would be very, very valuable information

  • And I would think, you know, for GY studies

  • And actually that's much more nerve-racking to share than genome

  • But, do all of you have thoughts about the infrastructure in hospitals etc. that can actually

  • somehow correlate that information without violating patient confidentiality

  • And correlate it with their genome, which may be available?

  • Good question.

  • So we'll have our phenotype and we'll come back to that.

  • So collect these.

  • Hi, I'm Carolina Hussini, Director for International Intellect Property at Electronic Frontier Foundation.

  • And my question is how we conciliate the need of accessing and sharing this data for progress of science

  • with some concerns of privacy.

  • Even more in some countries that we still have issues regarding surveillancy

  • and some questions about their democratic regimes and things like that so I just want to hear that-

  • Right, that goes back to David's question about trusting your government.

  • Kate

  • In the back there

  • Hi, I'm Kate Darling, I'm a Sociologist here at UCSF

  • So I'll ask the medicalization question, I guess

  • And I really want to reiterate again this issue of the way people are drawn into these technologies is very uneven

  • and different, so California's collecting DNA samples from people who are arrested for felonies

  • right, there's been a number of complex conversations about

  • how prenatal screening will affect and interact with very vibrant disability communities in California.

  • So I just kind of want to ask this question in a little bit different way

  • Of what are the uneven and different and contradictory ways people are following or coming into here.

  • Because it's not necessarily that we are all being medicalized in the same way with the same effects.

  • Right, okay so this is a differential experience of people and how they're interacting with this information.

  • And do you interact with your DNA first through entering in through a criminal database

  • Or through a medical database

  • So well Ted I know you had your hand up

  • And well Brandon do you just want to take one more

  • Brandon: Well since I am holding the "mic", I'm going to ask one thing

  • Brandon: Sorry, that's privilege of the "mic"

  • The panels discussed how genomics is personal

  • But genomics is more than personal, it's familial.

  • You know it, you know, your parents may decide to allow their genome to be sequenced and publicized.

  • But that says a lot about the child

  • About the individual.

  • Does the family have any rights in saying that's okay or that's not okay.

  • I will just leave it at that.

  • Okay then very quickly and then we're going run the test

  • Okay John Lovints points out- I'm Ted Goldstein- I'm a graduate student with David

  • And former Apple Vice President

  • And so for me

  • I come from a world where I've seen the rapid growth of how open systems and commercial systems interact.

  • One of the big things that I've been shocked by in the medical industry

  • is the way patent lore is handled is 180 degrees opposite.

  • In the electronics and software world

  • When someone has a patent, they sue after the company has made billions of dollars.

  • In the medical world they sue before they've made billions of dollars

  • And this one distinction, this one distinction

  • means that there is less innovation in the medical world than there is in the software world

  • Or the computer world

  • And that is because, the invasion is prevented by the court system.

  • And the single difference is I think at the heart of the openness that we're trying to achieve.

  • Right, If we didn't have this preventative, you know

  • innovation prevention department in the medical world

  • Right, and we have the openness that John wants and other people are advocating

  • I think we would see an enormous creativity.

  • And that is to me, the big part of what this conversation circles around.

  • Okay, so we've got the how do we get phenotypes?

  • It's all fine, as long as you trust everyone who is taking your DNA

  • But what if you have a different government and different relationship to it?

  • At differential encounters with this information

  • that is sort of similar to the second question, you know

  • do you encounter it through the police pulling you over or through being nicely approached by a researcher?

  • Does a family have rights?

  • You know, my brother might want to get his DNA tested

  • Does that subject me to anything?

  • Sue before people make money in biology, why?

  • Anyway, anyone want to respond to any of those?

  • I'll start with the first one which was the phenotype question.

  • And so we have big databases of genetic data

  • And they're very poorly phenotyped.

  • Often there is one phenotype in the database

  • Do they have breast cancer, yes or no?

  • And maybe their age.

  • And obviously the dimensionality of that phenotype

  • and by the way as you were saying environmental data and you know, biochemical data

  • and a lot of other phenotypes is extremely valuable

  • I'm in a project called the Emerged Project

  • which is a consortium of seven sites with electronic medical records

  • So they're HMO's or other groups

  • where we have bio-repository genetic data and those medical records

  • And we have about forty thousand people in the consortium

  • And it is quite literally

Good evening, ladies and gentleman.

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