Autism — what we know (and what we don’t know yet)
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0:01 - 0:02"Why?"
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0:02 - 0:04"Why?" is a question
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0:04 - 0:06that parents ask me all the time.
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0:06 - 0:09"Why did my child develop autism?"
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0:09 - 0:14As a pediatrician, as a geneticist, as a researcher,
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0:14 - 0:16we try and address that question.
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0:16 - 0:18But autism is not a single condition.
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0:18 - 0:21It's actually a spectrum of disorders,
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0:21 - 0:23a spectrum that ranges, for instance,
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0:23 - 0:26from Justin, a 13-year-old boy
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0:26 - 0:29who's not verbal, who can't speak,
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0:29 - 0:31who communicates by using an iPad
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0:31 - 0:33to touch pictures to communicate
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0:33 - 0:35his thoughts and his concerns,
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0:35 - 0:38a little boy who, when he gets upset,
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0:38 - 0:39will start rocking,
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0:39 - 0:41and eventually, when he's disturbed enough,
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0:41 - 0:42will bang his head to the point
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0:42 - 0:46that he can actually cut it open and require stitches.
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0:46 - 0:49That same diagnosis of autism, though,
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0:49 - 0:51also applies to Gabriel,
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0:51 - 0:53another 13-year-old boy
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0:53 - 0:55who has quite a different set of challenges.
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0:55 - 0:59He's actually quite remarkably gifted in mathematics.
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0:59 - 1:01He can multiple three numbers by three numbers
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1:01 - 1:02in his head with ease,
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1:02 - 1:06yet when it comes to trying to have a conversation,
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1:06 - 1:08he has great difficulty.
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1:08 - 1:10He doesn't make eye contact.
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1:10 - 1:12He has difficulty starting a conversation,
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1:12 - 1:14feels awkward,
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1:14 - 1:16and when he gets nervous,
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1:16 - 1:18he actually shuts down.
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1:18 - 1:19Yet both of these boys
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1:19 - 1:23have the same diagnosis of
autism spectrum disorder. -
1:23 - 1:26One of the things that concerns us
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1:26 - 1:27is whether or not there really is
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1:27 - 1:29an epidemic of autism.
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1:29 - 1:32These days, one in 88 children
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1:32 - 1:34will be diagnosed with autism,
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1:34 - 1:35and the question is,
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1:35 - 1:37why does this graph look this way?
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1:37 - 1:39Has that number been increasing
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1:39 - 1:41dramatically over time?
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1:41 - 1:46Or is it because we have now started labeling
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1:46 - 1:47individuals with autism,
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1:47 - 1:50simply giving them a diagnosis
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1:50 - 1:52when they were still present there before
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1:52 - 1:55yet simply didn't have that label?
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1:55 - 1:59And in fact, in the late 1980s, the early 1990s,
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1:59 - 2:00legislation was passed
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2:00 - 2:03that actually provided individuals with autism
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2:03 - 2:06with resources, with access to educational materials
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2:06 - 2:08that would help them.
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2:08 - 2:12With that increased awareness, more parents,
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2:12 - 2:14more pediatricians, more educators
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2:14 - 2:18learned to recognize the features of autism.
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2:18 - 2:22As a result of that, more individuals were diagnosed
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2:22 - 2:25and got access to the resources they needed.
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2:25 - 2:28In addition, we've changed our definition over time,
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2:28 - 2:31so in fact we've widened the definition of autism,
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2:31 - 2:32and that accounts for some of
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2:32 - 2:35the increased prevalence that we see.
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2:35 - 2:38The next question everyone wonders is,
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2:38 - 2:40what caused autism?
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2:40 - 2:43And a common misconception
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2:43 - 2:46is that vaccines cause autism.
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2:46 - 2:49But let me be very clear:
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2:49 - 2:53Vaccines do not cause autism.
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2:53 - 3:00(Applause)
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3:00 - 3:02In fact, the original research study
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3:02 - 3:04that suggested that was the case
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3:04 - 3:07was completely fraudulent.
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3:07 - 3:10It was actually retracted from the journal Lancet,
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3:10 - 3:12in which it was published,
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3:12 - 3:13and that author, a physician,
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3:13 - 3:17had his medical license taken away from him.
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3:17 - 3:21(Applause)
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3:21 - 3:22The Institute of Medicine,
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3:22 - 3:24The Centers for Disease Control,
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3:24 - 3:26have repeatedly investigated this
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3:26 - 3:30and there is no credible evidence
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3:30 - 3:32that vaccines cause autism.
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3:32 - 3:34Furthermore,
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3:34 - 3:37one of the ingredients in vaccines,
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3:37 - 3:39something called thimerosal,
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3:39 - 3:42was thought to be what the cause of autism was.
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3:42 - 3:44That was actually removed from vaccines
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3:44 - 3:46in the year 1992,
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3:46 - 3:49and you can see that it really did not have an effect
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3:49 - 3:52in what happened with the prevalence of autism.
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3:52 - 3:53So again, there is no evidence
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3:53 - 3:55that this is the answer.
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3:55 - 4:00So the question remains, what does cause autism?
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4:00 - 4:02In fact, there's probably not one single answer.
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4:02 - 4:04Just as autism is a spectrum,
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4:04 - 4:06there's a spectrum of ideologies,
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4:06 - 4:08a spectrum of causes.
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4:08 - 4:10Based on epidemiological data,
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4:10 - 4:12we know that one of the causes,
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4:12 - 4:14or one of the associations, I should say,
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4:14 - 4:16is advanced paternal age,
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4:16 - 4:18that is, increasing age of the father
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4:18 - 4:20at the time of conception.
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4:20 - 4:22In addition, another vulnerable
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4:22 - 4:25and critical period in terms of development
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4:25 - 4:27is when the mother is pregnant.
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4:27 - 4:30During that period, while
the fetal brain is developing, -
4:30 - 4:32we know that exposure to certain agents
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4:32 - 4:35can actually increase the risk of autism.
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4:35 - 4:38In particular, there's a medication, valproic acid,
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4:38 - 4:41which mothers with epilepsy sometimes take,
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4:41 - 4:44we know can increase that risk of autism.
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4:44 - 4:47In addition, there can be some infectious agents
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4:47 - 4:49that can also cause autism.
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4:49 - 4:51And one of the things I'm going to spend
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4:51 - 4:53a lot of time focusing on
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4:53 - 4:56are the genes that can cause autism.
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4:56 - 4:58I'm focusing on this not because genes
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4:58 - 5:00are the only cause of autism,
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5:00 - 5:02but it's a cause of autism
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5:02 - 5:04that we can readily define
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5:04 - 5:06and be able to better understand the biology
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5:06 - 5:09and understand better how the brain works
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5:09 - 5:11so that we can come up with strategies
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5:11 - 5:13to be able to intervene.
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5:13 - 5:16One of the genetic factors that we don't understand,
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5:16 - 5:19however, is the difference that we see
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5:19 - 5:21in terms of males and females.
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5:21 - 5:24Males are affected four to one compared to females
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5:24 - 5:25with autism,
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5:25 - 5:29and we really don't understand what that cause is.
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5:29 - 5:31One of the ways that we can understand
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5:31 - 5:33that genetics is a factor
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5:33 - 5:34is by looking at something called
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5:34 - 5:36the concordance rate.
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5:36 - 5:39In other words, if one sibling has autism,
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5:39 - 5:41what's the probability
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5:41 - 5:44that another sibling in that family will have autism?
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5:44 - 5:45And we can look in particular
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5:45 - 5:47at three types of siblings:
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5:47 - 5:49identical twins,
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5:49 - 5:51twins that actually share 100 percent
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5:51 - 5:53of their genetic information
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5:53 - 5:56and shared the same intrauterine environment,
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5:56 - 5:58versus fraternal twins,
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5:58 - 6:00twins that actually share 50 percent
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6:00 - 6:02of their genetic information,
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6:02 - 6:04versus regular siblings,
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6:04 - 6:06brother-sister, sister-sister,
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6:06 - 6:08also sharing 50 percent of their genetic information,
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6:08 - 6:12yet not sharing the same intrauterine environment.
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6:12 - 6:14And when you look at those concordance ratios,
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6:14 - 6:16one of the striking things that you will see
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6:16 - 6:18is that in identical twins,
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6:18 - 6:21that concordance rate is 77 percent.
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6:21 - 6:22Remarkably, though,
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6:22 - 6:25it's not 100 percent.
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6:25 - 6:29It is not that genes account
for all of the risk for autism, -
6:29 - 6:31but yet they account for a lot of that risk,
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6:31 - 6:33because when you look at fraternal twins,
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6:33 - 6:36that concordance rate is only 31 percent.
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6:36 - 6:38On the other hand, there is a difference
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6:38 - 6:41between those fraternal twins and the siblings,
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6:41 - 6:44suggesting that there are common exposures
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6:44 - 6:45for those fraternal twins
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6:45 - 6:47that may not be shared as commonly
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6:47 - 6:49with siblings alone.
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6:49 - 6:51So this provides some of the data
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6:51 - 6:53that autism is genetic.
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6:53 - 6:55Well, how genetic is it?
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6:55 - 6:57When we compare it to other conditions
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6:57 - 6:58that we're familiar with,
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6:58 - 7:02things like cancer, heart disease, diabetes,
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7:02 - 7:06in fact, genetics plays a much larger role in autism
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7:06 - 7:08than it does in any of these other conditions.
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7:08 - 7:12But with this, that doesn't
tell us what the genes are. -
7:12 - 7:14It doesn't even tell us in any one child,
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7:14 - 7:16is it one gene
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7:16 - 7:18or potentially a combination of genes?
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7:18 - 7:22And so in fact, in some individuals with autism,
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7:22 - 7:24it is genetic!
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7:24 - 7:27That is, that it is one single,
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7:27 - 7:29powerful, deterministic gene
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7:29 - 7:31that causes the autism.
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7:31 - 7:33However, in other individuals,
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7:33 - 7:34it's genetic, that is,
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7:34 - 7:37that it's actually a combination of genes
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7:37 - 7:40in part with the developmental process
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7:40 - 7:44that ultimately determines that risk for autism.
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7:44 - 7:46We don't know in any one person, necessarily,
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7:46 - 7:48which of those two answers it is
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7:48 - 7:51until we start digging deeper.
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7:51 - 7:52So the question becomes,
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7:52 - 7:54how can we start to identify
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7:54 - 7:56what exactly those genes are.
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7:56 - 7:57And let me pose something
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7:57 - 7:59that might not be intuitive.
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7:59 - 8:02In certain individuals,
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8:02 - 8:03they can have autism
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8:03 - 8:06for a reason that is genetic
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8:06 - 8:09but yet not because of autism running in the family.
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8:09 - 8:12And the reason is because in certain individuals,
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8:12 - 8:15they can actually have genetic changes or mutations
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8:15 - 8:18that are not passed down from the mother
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8:18 - 8:19or from the father,
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8:19 - 8:22but actually start brand new in them,
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8:22 - 8:24mutations that are present
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8:24 - 8:25in the egg or the sperm
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8:25 - 8:27at the time of conception
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8:27 - 8:28but have not been passed down
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8:28 - 8:31generation through generation within the family.
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8:31 - 8:34And we can actually use that strategy
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8:34 - 8:36to now understand and to identify
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8:36 - 8:39those genes causing autism in those individuals.
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8:39 - 8:41So in fact, at the Simons Foundation,
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8:41 - 8:44we took 2,600 individuals
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8:44 - 8:46that had no family history of autism,
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8:46 - 8:50and we took that child and their mother and father
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8:50 - 8:52and used them to try and understand
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8:52 - 8:54what were those genes
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8:54 - 8:56causing autism in those cases?
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8:56 - 8:59To do that, we actually had to comprehensively
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8:59 - 9:02be able to look at all that genetic information
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9:02 - 9:04and determine what those differences were
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9:04 - 9:08between the mother, the father and the child.
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9:08 - 9:10In doing so, I apologize,
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9:10 - 9:12I'm going to use an outdated analogy
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9:12 - 9:14of encyclopedias rather than Wikipedia,
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9:14 - 9:17but I'm going to do so to try and help make the point
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9:17 - 9:20that as we did this inventory,
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9:20 - 9:21we needed to be able to look at
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9:21 - 9:23massive amounts of information.
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9:23 - 9:26Our genetic information is organized
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9:26 - 9:28into a set of 46 volumes,
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9:28 - 9:30and when we did that, we had to be able to account
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9:30 - 9:32for each of those 46 volumes,
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9:32 - 9:34because in some cases with autism,
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9:34 - 9:37there's actually a single volume that's missing.
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9:37 - 9:39We had to get more granular than that, though,
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9:39 - 9:41and so we had to start opening those books,
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9:41 - 9:43and in some cases, the genetic change
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9:43 - 9:45was more subtle.
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9:45 - 9:48It might have been a single
paragraph that was missing, -
9:48 - 9:51or yet, even more subtle than that,
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9:51 - 9:53a single letter,
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9:53 - 9:56one out of three billion letters
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9:56 - 9:58that was changed, that was altered,
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9:58 - 9:59yet had profound effects
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9:59 - 10:01in terms of how the brain functions
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10:01 - 10:03and affects behavior.
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10:03 - 10:06In doing this within these families,
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10:06 - 10:08we were able to account for approximately
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10:08 - 10:1025 percent of the individuals
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10:10 - 10:13and determine that there was a single
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10:13 - 10:15powerful genetic factor
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10:15 - 10:18that caused autism within those families.
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10:18 - 10:20On the other hand, there's 75 percent
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10:20 - 10:23that we still haven't figured out.
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10:23 - 10:24As we did this, though,
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10:24 - 10:26it was really quite humbling,
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10:26 - 10:29because we realized that there was not simply
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10:29 - 10:31one gene for autism.
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10:31 - 10:32In fact, the current estimates are
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10:32 - 10:35that there are 200 to 400 different genes
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10:35 - 10:37that can cause autism.
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10:37 - 10:38And that explains, in part,
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10:38 - 10:40why we see such a broad spectrum
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10:40 - 10:43in terms of its effects.
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10:43 - 10:45Although there are that many genes,
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10:45 - 10:47there is some method to the madness.
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10:47 - 10:49It's not simply random
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10:49 - 10:51200, 400 different genes,
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10:51 - 10:53but in fact they fit together.
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10:53 - 10:55They fit together in a pathway.
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10:55 - 10:56They fit together in a network
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10:56 - 10:58that's starting to make sense now
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10:58 - 11:01in terms of how the brain functions.
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11:01 - 11:03We're starting to have a bottom-up approach
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11:03 - 11:05where we're identifying those genes,
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11:05 - 11:07those proteins, those molecules,
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11:07 - 11:09understanding how they interact together
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11:09 - 11:11to make that neuron work,
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11:11 - 11:13understanding how those neurons interact together
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11:13 - 11:15to make circuits work,
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11:15 - 11:17and understand how those circuits work
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11:17 - 11:18to now control behavior,
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11:18 - 11:21and understand that both in individuals with autism
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11:21 - 11:25as well as individuals who have normal cognition.
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11:25 - 11:28But early diagnosis is a key for us.
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11:28 - 11:29Being able to make that diagnosis
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11:29 - 11:31of someone who's susceptible
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11:31 - 11:33at a time in a window
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11:33 - 11:35where we have the ability to transform,
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11:35 - 11:37to be able to impact
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11:37 - 11:40that growing, developing brain is critical.
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11:40 - 11:44And so folks like Ami Klin have developed methods
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11:44 - 11:46to be able to take infants, small babies,
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11:46 - 11:49and be able to use biomarkers,
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11:49 - 11:52in this case eye contact and eye tracking,
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11:52 - 11:54to identify an infant at risk.
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11:54 - 11:56This particular infant, you can see,
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11:56 - 11:58making very good eye contact with this woman
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11:58 - 12:01as she's singing "Itsy, Bitsy Spider,"
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12:01 - 12:04in fact is not going to develop autism.
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12:04 - 12:07This baby we know is going to be in the clear.
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12:07 - 12:09On the other hand, this other baby
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12:09 - 12:11is going to go on to develop autism.
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12:11 - 12:14In this particular child, you can see,
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12:14 - 12:16it's not making good eye contact.
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12:16 - 12:18Instead of the eyes focusing in
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12:18 - 12:20and having that social connection,
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12:20 - 12:23looking at the mouth, looking at the nose,
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12:23 - 12:25looking off in another direction,
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12:25 - 12:27but not again socially connecting,
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12:27 - 12:30and being able to do this on a very large scale,
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12:30 - 12:33screen infants, screen children for autism,
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12:33 - 12:36through something very robust, very reliable,
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12:36 - 12:39is going to be very helpful to us in terms of being
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12:39 - 12:41able to intervene at an early stage
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12:41 - 12:44when we can have the greatest impact.
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12:44 - 12:47How are we going to intervene?
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12:47 - 12:49It's probably going to be a combination of factors.
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12:49 - 12:51In part, in some individuals,
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12:51 - 12:53we're going to try and use medications.
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12:53 - 12:56And so in fact, identifying the genes for autism
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12:56 - 12:58is important for us
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12:58 - 12:59to identify drug targets,
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12:59 - 13:02to identify things that we might be able to impact
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13:02 - 13:04and can be certain that that's really
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13:04 - 13:05what we need to do in autism.
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13:05 - 13:08But that's not going to be the only answer.
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13:08 - 13:12Beyond just drugs, we're going
to use educational strategies. -
13:12 - 13:13Individuals with autism,
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13:13 - 13:15some of them are wired a little bit differently.
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13:15 - 13:17They learn in a different way.
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13:17 - 13:19They absorb their surroundings in a different way,
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13:19 - 13:22and we need to be able to educate them
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13:22 - 13:25in a way that serves them best.
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13:25 - 13:27Beyond that, there are a lot of individuals
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13:27 - 13:29in this room who have great ideas
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13:29 - 13:31in terms of new technologies we can use,
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13:31 - 13:34everything from devices we can use to train the brain
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13:34 - 13:36to be able to make it more efficient
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13:36 - 13:38and to compensate for areas in which
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13:38 - 13:39it has a little bit of trouble,
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13:39 - 13:42to even things like Google Glass.
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13:42 - 13:43You could imagine, for instance, Gabriel,
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13:43 - 13:45with his social awkwardness,
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13:45 - 13:47might be able to wear Google Glass
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13:47 - 13:48with an earpiece in his ear,
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13:48 - 13:50and have a coach be able to help him,
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13:50 - 13:53be able to help think about conversations,
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13:53 - 13:54conversation-starters,
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13:54 - 13:56being able to even perhaps one day
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13:56 - 13:59invite a girl out on a date.
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13:59 - 14:01All of these new technologies
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14:01 - 14:03just offer tremendous opportunities
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14:03 - 14:05for us to be able to impact
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14:05 - 14:07the individuals with autism,
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14:07 - 14:10but yet we have a long way to go.
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14:10 - 14:11As much as we know,
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14:11 - 14:14there is so much more that we don't know,
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14:14 - 14:16and so I invite all of you
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14:16 - 14:19to be able to help us think about
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14:19 - 14:20how to do this better,
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14:20 - 14:23to use as a community our collective wisdom
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14:23 - 14:25to be able to make a difference,
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14:25 - 14:26and in particular,
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14:26 - 14:29for the individuals in families with autism,
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14:29 - 14:32I invite you to join the interactive autism network,
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14:32 - 14:34to be part of the solution to this,
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14:34 - 14:37because it's going to take really a lot of us
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14:37 - 14:39to think about what's important,
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14:39 - 14:41what's going to be a meaningful difference.
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14:41 - 14:43As we think about something
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14:43 - 14:44that's potentially a solution,
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14:44 - 14:46how well does it work?
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14:46 - 14:48Is it something that's really
going to make a difference -
14:48 - 14:50in your lives, as an individual,
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14:50 - 14:52as a family with autism?
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14:52 - 14:55We're going to need individuals of all ages,
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14:55 - 14:56from the young to the old,
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14:56 - 14:58and with all different shapes and sizes
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14:58 - 15:00of the autism spectrum disorder
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15:00 - 15:02to make sure that we can have an impact.
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15:02 - 15:05So I invite all of you to join the mission
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15:05 - 15:08and to help to be able to make the lives
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15:08 - 15:09of individuals with autism
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15:09 - 15:11so much better and so much richer.
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15:11 - 15:14Thank you.
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15:14 - 15:18(Applause)
- Title:
- Autism — what we know (and what we don’t know yet)
- Speaker:
- Wendy Chung
- Description:
-
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.
- Video Language:
- English
- Team:
closed TED
- Project:
- TEDTalks
- Duration:
- 15:35
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Morton Bast edited English subtitles for Autism — what we know (and what we don't know yet) | |
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Madeleine Aronson edited English subtitles for Autism — what we know (and what we don't know yet) |