ABOUT THE SPEAKER
Wendy Chung - Geneticist
At the Simons Foundation, Wendy Chung is working to characterize behavior, brain structure and function in people with genetic variations that may relate to autism.

Why you should listen

Wendy Chung is the director of clinical research at the Simons Foundation Autism Research Initiative, which does both basic and applied science to serve people affected by autism spectrum disorders. She's the principal investigator of the foundation's Simons Variation in Individuals Project, which characterizes behavior and brain structure and function in participants with genetic copy number variants such as those at 16p11.2, which are believed to play a role in spectrum disorders.
 
Chung also directs the clinical genetics program at Columbia University. In assessing and treating kids with autism spectrum disorders and intellectual disabilities, she uses advanced genomic diagnostics to explore the genetic basis of neurological conditions. She thinks deeply about the ethical and emotional questions around genetic medicine and genetic testing.

More profile about the speaker
Wendy Chung | Speaker | TED.com
TED2014

Wendy Chung: Autism — what we know (and what we don't know yet)

Filmed:
3,896,604 views

In this factual talk, geneticist Wendy Chung shares what we know about autism spectrum disorder — for example, that autism has multiple, perhaps interlocking, causes. Looking beyond the worry and concern that can surround a diagnosis, Chung and her team look at what we've learned through studies, treatments and careful listening.
- Geneticist
At the Simons Foundation, Wendy Chung is working to characterize behavior, brain structure and function in people with genetic variations that may relate to autism. Full bio

Double-click the English transcript below to play the video.

00:12
"Why?"
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"Why?" is a question
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that parents ask me all the time.
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"Why did my child develop autism?"
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As a pediatrician, as a geneticist, as a researcher,
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we try and address that question.
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But autism is not a single condition.
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It's actually a spectrum of disorders,
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a spectrum that ranges, for instance,
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from Justin, a 13-year-old boy
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who's not verbal, who can't speak,
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who communicates by using an iPad
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to touch pictures to communicate
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his thoughts and his concerns,
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a little boy who, when he gets upset,
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will start rocking,
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and eventually, when he's disturbed enough,
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will bang his head to the point
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that he can actually cut it open and require stitches.
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That same diagnosis of autism, though,
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also applies to Gabriel,
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another 13-year-old boy
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who has quite a different set of challenges.
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He's actually quite remarkably gifted in mathematics.
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He can multiple three numbers by three numbers
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in his head with ease,
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yet when it comes to trying to have a conversation,
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he has great difficulty.
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He doesn't make eye contact.
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He has difficulty starting a conversation,
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feels awkward,
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and when he gets nervous,
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he actually shuts down.
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Yet both of these boys
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have the same diagnosis of
autism spectrum disorder.
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One of the things that concerns us
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is whether or not there really is
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an epidemic of autism.
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These days, one in 88 children
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will be diagnosed with autism,
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and the question is,
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why does this graph look this way?
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Has that number been increasing
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dramatically over time?
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Or is it because we have now started labeling
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individuals with autism,
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simply giving them a diagnosis
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when they were still present there before
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yet simply didn't have that label?
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And in fact, in the late 1980s, the early 1990s,
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legislation was passed
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that actually provided individuals with autism
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with resources, with access to educational materials
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that would help them.
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With that increased awareness, more parents,
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more pediatricians, more educators
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learned to recognize the features of autism.
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As a result of that, more individuals were diagnosed
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and got access to the resources they needed.
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In addition, we've changed our definition over time,
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so in fact we've widened the definition of autism,
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and that accounts for some of
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the increased prevalence that we see.
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The next question everyone wonders is,
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what caused autism?
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And a common misconception
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is that vaccines cause autism.
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But let me be very clear:
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Vaccines do not cause autism.
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(Applause)
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In fact, the original research study
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that suggested that was the case
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was completely fraudulent.
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It was actually retracted from the journal Lancet,
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in which it was published,
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and that author, a physician,
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had his medical license taken away from him.
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(Applause)
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The Institute of Medicine,
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The Centers for Disease Control,
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have repeatedly investigated this
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and there is no credible evidence
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that vaccines cause autism.
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Furthermore,
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one of the ingredients in vaccines,
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something called thimerosal,
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was thought to be what the cause of autism was.
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That was actually removed from vaccines
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in the year 1992,
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and you can see that it really did not have an effect
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in what happened with the prevalence of autism.
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So again, there is no evidence
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that this is the answer.
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So the question remains, what does cause autism?
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In fact, there's probably not one single answer.
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Just as autism is a spectrum,
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there's a spectrum of etiologies,
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a spectrum of causes.
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Based on epidemiological data,
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we know that one of the causes,
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or one of the associations, I should say,
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is advanced paternal age,
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that is, increasing age of the father
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at the time of conception.
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In addition, another vulnerable
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and critical period in terms of development
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is when the mother is pregnant.
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During that period, while
the fetal brain is developing,
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we know that exposure to certain agents
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can actually increase the risk of autism.
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In particular, there's a medication, valproic acid,
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which mothers with epilepsy sometimes take,
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we know can increase that risk of autism.
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In addition, there can be some infectious agents
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that can also cause autism.
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And one of the things I'm going to spend
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a lot of time focusing on
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are the genes that can cause autism.
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I'm focusing on this not because genes
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are the only cause of autism,
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but it's a cause of autism
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that we can readily define
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and be able to better understand the biology
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and understand better how the brain works
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so that we can come up with strategies
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to be able to intervene.
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One of the genetic factors that we don't understand,
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however, is the difference that we see
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in terms of males and females.
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Males are affected four to one compared to females
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with autism,
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and we really don't understand what that cause is.
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One of the ways that we can understand
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that genetics is a factor
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is by looking at something called
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the concordance rate.
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In other words, if one sibling has autism,
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what's the probability
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that another sibling in that family will have autism?
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And we can look in particular
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at three types of siblings:
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identical twins,
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twins that actually share 100 percent
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of their genetic information
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and shared the same intrauterine environment,
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versus fraternal twins,
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twins that actually share 50 percent
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of their genetic information,
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versus regular siblings,
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brother-sister, sister-sister,
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also sharing 50 percent of their genetic information,
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yet not sharing the same intrauterine environment.
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And when you look at those concordance ratios,
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one of the striking things that you will see
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is that in identical twins,
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that concordance rate is 77 percent.
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Remarkably, though,
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it's not 100 percent.
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It is not that genes account
for all of the risk for autism,
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but yet they account for a lot of that risk,
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because when you look at fraternal twins,
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that concordance rate is only 31 percent.
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On the other hand, there is a difference
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between those fraternal twins and the siblings,
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suggesting that there are common exposures
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for those fraternal twins
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that may not be shared as commonly
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with siblings alone.
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So this provides some of the data
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that autism is genetic.
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Well, how genetic is it?
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When we compare it to other conditions
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that we're familiar with,
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things like cancer, heart disease, diabetes,
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in fact, genetics plays a much larger role in autism
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than it does in any of these other conditions.
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But with this, that doesn't
tell us what the genes are.
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It doesn't even tell us in any one child,
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is it one gene
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or potentially a combination of genes?
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And so in fact, in some individuals with autism,
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it is genetic!
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That is, that it is one single,
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powerful, deterministic gene
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that causes the autism.
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However, in other individuals,
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it's genetic, that is,
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that it's actually a combination of genes
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in part with the developmental process
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that ultimately determines that risk for autism.
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We don't know in any one person, necessarily,
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which of those two answers it is
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until we start digging deeper.
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So the question becomes,
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how can we start to identify
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what exactly those genes are.
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And let me pose something
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that might not be intuitive.
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In certain individuals,
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they can have autism
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for a reason that is genetic
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but yet not because of autism running in the family.
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And the reason is because in certain individuals,
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they can actually have genetic changes or mutations
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that are not passed down from the mother
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or from the father,
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but actually start brand new in them,
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mutations that are present
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in the egg or the sperm
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at the time of conception
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but have not been passed down
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generation through generation within the family.
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And we can actually use that strategy
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to now understand and to identify
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those genes causing autism in those individuals.
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So in fact, at the Simons Foundation,
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we took 2,600 individuals
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that had no family history of autism,
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and we took that child and their mother and father
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and used them to try and understand
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what were those genes
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causing autism in those cases?
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To do that, we actually had to comprehensively
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be able to look at all that genetic information
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and determine what those differences were
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between the mother, the father and the child.
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In doing so, I apologize,
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I'm going to use an outdated analogy
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of encyclopedias rather than Wikipedia,
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but I'm going to do so to try and help make the point
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that as we did this inventory,
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we needed to be able to look at
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massive amounts of information.
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Our genetic information is organized
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into a set of 46 volumes,
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and when we did that, we had to be able to account
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for each of those 46 volumes,
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because in some cases with autism,
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there's actually a single volume that's missing.
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We had to get more granular than that, though,
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and so we had to start opening those books,
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and in some cases, the genetic change
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was more subtle.
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It might have been a single
paragraph that was missing,
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or yet, even more subtle than that,
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a single letter,
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one out of three billion letters
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that was changed, that was altered,
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yet had profound effects
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in terms of how the brain functions
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and affects behavior.
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In doing this within these families,
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we were able to account for approximately
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25 percent of the individuals
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and determine that there was a single
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powerful genetic factor
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that caused autism within those families.
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On the other hand, there's 75 percent
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that we still haven't figured out.
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As we did this, though,
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it was really quite humbling,
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because we realized that there was not simply
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one gene for autism.
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In fact, the current estimates are
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that there are 200 to 400 different genes
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that can cause autism.
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And that explains, in part,
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why we see such a broad spectrum
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in terms of its effects.
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Although there are that many genes,
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there is some method to the madness.
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It's not simply random
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200, 400 different genes,
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but in fact they fit together.
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They fit together in a pathway.
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They fit together in a network
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that's starting to make sense now
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in terms of how the brain functions.
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We're starting to have a bottom-up approach
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where we're identifying those genes,
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those proteins, those molecules,
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understanding how they interact together
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to make that neuron work,
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understanding how those neurons interact together
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to make circuits work,
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and understand how those circuits work
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to now control behavior,
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and understand that both in individuals with autism
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as well as individuals who have normal cognition.
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But early diagnosis is a key for us.
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Being able to make that diagnosis
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of someone who's susceptible
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at a time in a window
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where we have the ability to transform,
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to be able to impact
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that growing, developing brain is critical.
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And so folks like Ami Klin have developed methods
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to be able to take infants, small babies,
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and be able to use biomarkers,
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in this case eye contact and eye tracking,
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to identify an infant at risk.
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This particular infant, you can see,
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making very good eye contact with this woman
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12:10
as she's singing "Itsy, Bitsy Spider,"
303
718440
2360
12:12
in fact is not going to develop autism.
304
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3040
12:15
This baby we know is going to be in the clear.
305
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2880
12:18
On the other hand, this other baby
306
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2360
12:21
is going to go on to develop autism.
307
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2335
12:23
In this particular child, you can see,
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2227
12:25
it's not making good eye contact.
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12:27
Instead of the eyes focusing in
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12:29
and having that social connection,
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2278
12:32
looking at the mouth, looking at the nose,
312
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2638
12:34
looking off in another direction,
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12:36
but not again socially connecting,
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12:39
and being able to do this on a very large scale,
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2713
12:42
screen infants, screen children for autism,
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3000
12:45
through something very robust, very reliable,
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2924
12:48
is going to be very helpful to us in terms of being
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2716
12:50
able to intervene at an early stage
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12:52
when we can have the greatest impact.
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12:56
How are we going to intervene?
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12:58
It's probably going to be a combination of factors.
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13:01
In part, in some individuals,
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13:03
we're going to try and use medications.
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13:05
And so in fact, identifying the genes for autism
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13:08
is important for us
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13:09
to identify drug targets,
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13:11
to identify things that we might be able to impact
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13:14
and can be certain that that's really
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13:15
what we need to do in autism.
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13:17
But that's not going to be the only answer.
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13:20
Beyond just drugs, we're going
to use educational strategies.
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13:23
Individuals with autism,
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13:24
some of them are wired a little bit differently.
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13:27
They learn in a different way.
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13:29
They absorb their surroundings in a different way,
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13:31
and we need to be able to educate them
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13:33
in a way that serves them best.
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3093
13:36
Beyond that, there are a lot of individuals
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13:38
in this room who have great ideas
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13:40
in terms of new technologies we can use,
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13:43
everything from devices we can use to train the brain
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13:46
to be able to make it more efficient
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1549
13:48
and to compensate for areas in which
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13:49
it has a little bit of trouble,
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13:51
to even things like Google Glass.
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2279
13:53
You could imagine, for instance, Gabriel,
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1784
13:55
with his social awkwardness,
348
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1821
13:57
might be able to wear Google Glass
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13:58
with an earpiece in his ear,
350
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1531
14:00
and have a coach be able to help him,
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1927
14:02
be able to help think about conversations,
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2658
14:04
conversation-starters,
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14:06
being able to even perhaps one day
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14:08
invite a girl out on a date.
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14:10
All of these new technologies
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2212
14:12
just offer tremendous opportunities
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2006
14:14
for us to be able to impact
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1905
14:16
the individuals with autism,
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2685
14:19
but yet we have a long way to go.
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14:21
As much as we know,
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14:23
there is so much more that we don't know,
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14:26
and so I invite all of you
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14:28
to be able to help us think about
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14:30
how to do this better,
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1411
14:31
to use as a community our collective wisdom
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14:34
to be able to make a difference,
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1806
14:36
and in particular,
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14:37
for the individuals in families with autism,
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14:40
I invite you to join the interactive autism network,
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14:43
to be part of the solution to this,
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14:46
because it's going to take really a lot of us
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14:48
to think about what's important,
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14:51
what's going to be a meaningful difference.
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14:53
As we think about something
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14:54
that's potentially a solution,
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1832
14:56
how well does it work?
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1659
14:58
Is it something that's really
going to make a difference
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1948
15:00
in your lives, as an individual,
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2369
15:02
as a family with autism?
380
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1653
15:04
We're going to need individuals of all ages,
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15:06
from the young to the old,
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1727
15:08
and with all different shapes and sizes
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15:10
of the autism spectrum disorder
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15:12
to make sure that we can have an impact.
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2176
15:14
So I invite all of you to join the mission
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2205
15:16
and to help to be able to make the lives
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2974
15:19
of individuals with autism
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15:21
so much better and so much richer.
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Thank you.
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15:25
(Applause)
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ABOUT THE SPEAKER
Wendy Chung - Geneticist
At the Simons Foundation, Wendy Chung is working to characterize behavior, brain structure and function in people with genetic variations that may relate to autism.

Why you should listen

Wendy Chung is the director of clinical research at the Simons Foundation Autism Research Initiative, which does both basic and applied science to serve people affected by autism spectrum disorders. She's the principal investigator of the foundation's Simons Variation in Individuals Project, which characterizes behavior and brain structure and function in participants with genetic copy number variants such as those at 16p11.2, which are believed to play a role in spectrum disorders.
 
Chung also directs the clinical genetics program at Columbia University. In assessing and treating kids with autism spectrum disorders and intellectual disabilities, she uses advanced genomic diagnostics to explore the genetic basis of neurological conditions. She thinks deeply about the ethical and emotional questions around genetic medicine and genetic testing.

More profile about the speaker
Wendy Chung | Speaker | TED.com

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