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Entering the digital era Global Investor, 02/2012 Credit Suisse

Entering the digital era
Global Investor, 02/2012
Credit Suisse

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GLOBAL INVESTOR 2.12 — 25<br />

“The tools that we have for sequencing<br />

genomes now allow us to look at the<br />

genome of any cancer and actually see<br />

what derangements it contains.”<br />

Which enables you to do what?<br />

Eric Green: Everybody has known for<br />

some time that cancer is not one disease.<br />

People with the same apparent type of<br />

cancer can have very different outcomes.<br />

If you look at those cancers under a microscope,<br />

they look identical. But when you<br />

look at their genomes, they can look completely<br />

different. That information makes<br />

it possible, say, to predict a good outcome<br />

versus a bad one.<br />

So we cannot yet say we have<br />

better therapies?<br />

Eric Green: In most cases, no, but at<br />

least we have better ways of predicting<br />

outcomes. Worldwide, there are dozens of<br />

different cancer sequencing projects where<br />

many tumors of a particular type of cancer<br />

are being collected, sequenced and catalogued.<br />

We think that in the next few years,<br />

these efforts will change the face of<br />

cancer diagnostics for some cancers, and<br />

(fingers crossed!) maybe also provide better<br />

insights for how to treat cancer.<br />

It’s not just disease outcomes that are<br />

different. People respond differently<br />

to drugs too.<br />

Eric Green: How people respond to<br />

medication is also largely genetic. It has to<br />

do with how we metabolize drugs and with<br />

other things about how the drugs are acting.<br />

And we’re learning how to predict that in<br />

advance. There is the whole field of “pharmacogenomics”<br />

that basically uses information<br />

about an individual’s genome to determine<br />

which medication they should get.<br />

Pharmacogenomics is already standard care<br />

for certain medications involved in the<br />

treatment of AIDS, asthma and some types<br />

of cardiovascular disease.<br />

The cost of genome sequencing<br />

has fallen dramatically. Why?<br />

Eric Green: When the Human Genome<br />

Project ended in April of 2003, our institute<br />

published a paper describing a vision for<br />

the future of genomics and calling for the<br />

development of revolutionary new technologies<br />

for sequencing DNA. In fact, we asked,<br />

wouldn’t it be incredible if we could come<br />

up with a technology that would allow us to<br />

sequence a human genome for a thousand<br />

dollars?<br />

You had just sequenced the first<br />

human genome for a billion dollars!<br />

Eric Green: Which is why setting a goal<br />

of sequencing a human genome for a<br />

thousand dollars was, frankly, nothing short<br />

of audacious. But we knew the cost had<br />

to come down. We gave out millions of dollars<br />

to all sorts of scientists, hoping that they’d<br />

take risks and come up with some crazy new<br />

ideas. The private sector saw this as a huge<br />

opportunity as well, and poured in lots of<br />

money. Good ideas emerged, they worked,<br />

and what cost a billion dollars only ten years<br />

ago is now down to just a few thousand.<br />

What was the most surprising<br />

finding about the human genome?<br />

Eric Green: How few genes we have!<br />

For a long time, we figured that, because<br />

we are so complex and smart, the human<br />

genome would have many more genes than<br />

simpler organisms like fruit flies and worms.<br />

But in fact, we have around 20,000 genes<br />

(a few thousand more than a fruit fly<br />

and roughly the same number as a mouse).<br />

The other thing that’s been surprising is<br />

that the majority of the functional parts of<br />

our genome are not genes at all and do<br />

not directly code for protein.<br />

What do they do?<br />

Eric Green: We are still learning about<br />

those other functional parts. We know that<br />

many of them act like dimmer switchers,<br />

determining when and where and how<br />

much a given gene gets turned on, how<br />

much protein gets made and so forth. And<br />

that’s where we probably get most of our<br />

biological complexity.<br />

Earlier you mentioned that, aside from<br />

being able to predict response to this or that<br />

drug or treatment, one day, hopefully,<br />

we might even be able to make better drugs<br />

based on genomic information. What<br />

do we have to know to get to that point?<br />

Eric Green: I think it’s unrealistic to think<br />

about designing drugs just for us based<br />

on our own unique genomic makeup. That’s<br />

just not going to happen.<br />

What will happen?<br />

Eric Green: Genes act in complicated<br />

networks of pathways where A affects B and<br />

B affects C and C leads to D and so forth.<br />

And through genomics – the name we give<br />

to the discipline that studies the genome –<br />

we are learning about what pathways are<br />

altered in a given disease. And that immediately<br />

gives insight about what existing<br />

drugs or what newly developed drugs might<br />

be useful for compensating for that alteration<br />

in that pathway. So knowing which pathway<br />

is altered can actually be more important<br />

for developing therapies than just knowing<br />

what individual gene is broken.<br />

What has been the greatest<br />

disappointment of the genome?<br />

Eric Green: If there is a “disappointment,”<br />

it is that we are recognizing just<br />

how complicated the human genome is. It<br />

has been a bit of a reality check. Because<br />

it is not simply understanding the genes:<br />

my grandchildren, and probably my<br />

great-grandchildren, will still be interpreting<br />

and reinterpreting the human genome<br />

sequence. But it also means that the field<br />

of genomics is going to be a hot one for

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