GEN3001_Workshop 3
Sep 23, 2026 06:24
· 1:49:16
· English
· Whisper Turbo
· 8 කථානායක
මෙම පිටපත කල් ඉකුත් වේ 26 දවස්.
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0:15
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Speaker 1 (GEN3001_Workshop 3)
Thank you.
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Speaker 1 (GEN3001_Workshop 3)
Thank you.
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Speaker 2 (GEN3001_Workshop 3)
okay um hi morning um
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Speaker 2 (GEN3001_Workshop 3)
You all know where to get your materials,
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Speaker 1 (GEN3001_Workshop 3)
right?
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Speaker 1 (GEN3001_Workshop 3)
Okay,
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Speaker 3 (GEN3001_Workshop 3)
very good.
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Speaker 1 (GEN3001_Workshop 3)
We
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Speaker 2 (GEN3001_Workshop 3)
have two sessions today,
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Speaker 2 (GEN3001_Workshop 3)
correct?
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Speaker 2 (GEN3001_Workshop 3)
Later on,
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Speaker 2 (GEN3001_Workshop 3)
I will upload the workshop number four.
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Speaker 2 (GEN3001_Workshop 3)
But maybe we might not...
1:44
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Speaker 2 (GEN3001_Workshop 3)
Okay, we'll see how it goes.
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Speaker 2 (GEN3001_Workshop 3)
We might not have enough time to do the activity,
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Speaker 4 (GEN3001_Workshop 3)
but okay.
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Speaker 2 (GEN3001_Workshop 3)
Starting from this
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Speaker 2 (GEN3001_Workshop 3)
topic, we are going to work on...
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Speaker 2 (GEN3001_Workshop 3)
organisms or rather rather than a study on organisms.
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Speaker 2 (GEN3001_Workshop 3)
So the first one that you see here today is zebrafish.
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Speaker 2 (GEN3001_Workshop 3)
The one in the afternoon will be on
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Speaker 2 (GEN3001_Workshop 3)
drosophila.
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Speaker 3 (GEN3001_Workshop 3)
Okay,
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Speaker 2 (GEN3001_Workshop 3)
so you will be introduced to the models and how some genetic approaches
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Speaker 2 (GEN3001_Workshop 3)
are applied to the models.
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Speaker 1 (GEN3001_Workshop 3)
Okay,
2:20
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Speaker 2 (GEN3001_Workshop 3)
so for this topic,
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Speaker 2 (GEN3001_Workshop 3)
our first part,
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Speaker 2 (GEN3001_Workshop 3)
we are going to focus on some of the more
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Speaker 2 (GEN3001_Workshop 3)
straightforward approaches.
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Speaker 2 (GEN3001_Workshop 3)
Okay,
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Speaker 2 (GEN3001_Workshop 3)
so I will introduce you to two of those.
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Speaker 2 (GEN3001_Workshop 3)
We have forward,
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Speaker 2 (GEN3001_Workshop 3)
we have reverse,
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Speaker 2 (GEN3001_Workshop 3)
genetics.
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Speaker 2 (GEN3001_Workshop 3)
And then we are going to look at examples of forward genetic
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Speaker 2 (GEN3001_Workshop 3)
approaches.
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Speaker 2 (GEN3001_Workshop 3)
So we have GWAS,
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Speaker 2 (GEN3001_Workshop 3)
we have whole exome sequencing.
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Speaker 1 (GEN3001_Workshop 3)
Okay,
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Speaker 2 (GEN3001_Workshop 3)
so these are two examples of forward genetics.
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Speaker 2 (GEN3001_Workshop 3)
And then later we will see how we can apply it to our
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Speaker 2 (GEN3001_Workshop 3)
animal models.
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Speaker 1 (GEN3001_Workshop 3)
Okay,
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Speaker 2 (GEN3001_Workshop 3)
so to start,
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Speaker 2 (GEN3001_Workshop 3)
Right, I have a very cute image here.
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Speaker 2 (GEN3001_Workshop 3)
So this one,
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Speaker 2 (GEN3001_Workshop 3)
okay, gives you an idea about what is forward,
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Speaker 2 (GEN3001_Workshop 3)
what is reverse.
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Speaker 2 (GEN3001_Workshop 3)
So in a forward genetic,
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Speaker 2 (GEN3001_Workshop 3)
if you follow the arrow,
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Speaker 2 (GEN3001_Workshop 3)
we already know what the phenotype is.
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Speaker 2 (GEN3001_Workshop 3)
But we don't know the underlying genes that causes this phenotype.
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Speaker 2 (GEN3001_Workshop 3)
So we are going to apply things like GWAS,
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Speaker 2 (GEN3001_Workshop 3)
right, because we know about the phenotype of people.
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Speaker 2 (GEN3001_Workshop 3)
and then fish out what are the genes that may have been associated
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Speaker 2 (GEN3001_Workshop 3)
to the phenotype.
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Speaker 2 (GEN3001_Workshop 3)
So that's forward genetics.
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Speaker 2 (GEN3001_Workshop 3)
Similarly,
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Speaker 2 (GEN3001_Workshop 3)
you can also use your whole exome sequencing to
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Speaker 2 (GEN3001_Workshop 3)
determine what is the sequences of the genes that causes
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Speaker 2 (GEN3001_Workshop 3)
that particular phenotype.
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Speaker 2 (GEN3001_Workshop 3)
Then you will be able to fish out that causal gene.
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Speaker 2 (GEN3001_Workshop 3)
And then the reverse is also true,
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Speaker 2 (GEN3001_Workshop 3)
it's just the opposite.
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Speaker 2 (GEN3001_Workshop 3)
Here,
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Speaker 2 (GEN3001_Workshop 3)
you know about the genes,
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Speaker 2 (GEN3001_Workshop 3)
information about the genes.
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Speaker 2 (GEN3001_Workshop 3)
But you don't know what kind of
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Speaker 2 (GEN3001_Workshop 3)
phenotype you get.
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Speaker 2 (GEN3001_Workshop 3)
So you're going to apply reverse genetics approach for example.
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Speaker 2 (GEN3001_Workshop 3)
You can apply CRISPR.
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Speaker 2 (GEN3001_Workshop 3)
You can apply zinc finger nucleases.
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Speaker 2 (GEN3001_Workshop 3)
You can apply morpholinos,
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Speaker 2 (GEN3001_Workshop 3)
which we will look at later on.
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Speaker 2 (GEN3001_Workshop 3)
that will help you determine what kind of phenotype you get from applying those
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Speaker 2 (GEN3001_Workshop 3)
approaches on the genes.
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Speaker 1 (GEN3001_Workshop 3)
Okay,
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Speaker 2 (GEN3001_Workshop 3)
so if you can remember this very cute picture,
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Speaker 2 (GEN3001_Workshop 3)
then you will have no problem understanding what is forward,
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Speaker 2 (GEN3001_Workshop 3)
what is reverse.
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Speaker 1 (GEN3001_Workshop 3)
Okay,
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Speaker 2 (GEN3001_Workshop 3)
so I'm going to start off with forward genetics,
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Speaker 2 (GEN3001_Workshop 3)
looking at GWAS as an example.
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Speaker 1 (GEN3001_Workshop 3)
Okay,
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Speaker 2 (GEN3001_Workshop 3)
so in a GWAS study,
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Speaker 2 (GEN3001_Workshop 3)
you guys know that in GWAS,
4:50
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Speaker 2 (GEN3001_Workshop 3)
we are looking at population level studies.
5:02
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Speaker 2 (GEN3001_Workshop 3)
Okay, so what does population mean to you?
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Speaker 2 (GEN3001_Workshop 3)
It means that it is a large -scale study.
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Speaker 1 (GEN3001_Workshop 3)
Okay,
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Speaker 2 (GEN3001_Workshop 3)
so to deploy this large -scale study,
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Speaker 2 (GEN3001_Workshop 3)
there must be certain study design that is involved,
5:15
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Speaker 1 (GEN3001_Workshop 3)
right?
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Speaker 2 (GEN3001_Workshop 3)
So for the study design,
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Speaker 2 (GEN3001_Workshop 3)
we will need to recruit participants.
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Speaker 2 (GEN3001_Workshop 3)
Okay,
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Speaker 2 (GEN3001_Workshop 3)
so it's very important we get participants to do this study.
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Speaker 2 (GEN3001_Workshop 3)
So one of our group of participants will be what we
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Speaker 2 (GEN3001_Workshop 3)
call controls,
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Speaker 2 (GEN3001_Workshop 3)
those that we determine them to be healthy.
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Speaker 2 (GEN3001_Workshop 3)
Okay, and then those that are also known on the other group here
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Speaker 2 (GEN3001_Workshop 3)
called the cases.
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Speaker 2 (GEN3001_Workshop 3)
So these are the people with the disease.
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Speaker 1 (GEN3001_Workshop 3)
Okay,
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Speaker 2 (GEN3001_Workshop 3)
so I put inverted comma healthy because there
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Speaker 2 (GEN3001_Workshop 3)
is no such thing as 100 % healthy.
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Speaker 2 (GEN3001_Workshop 3)
Okay,
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Speaker 2 (GEN3001_Workshop 3)
but in comparison with the cases,
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Speaker 2 (GEN3001_Workshop 3)
these are people who are so -called healthy individuals.
6:02
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Speaker 2 (GEN3001_Workshop 3)
Okay, now you will also need to bear in mind that
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Speaker 2 (GEN3001_Workshop 3)
when you conduct a GWAS study,
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Speaker 2 (GEN3001_Workshop 3)
you have to take note of the following factors.
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Speaker 2 (GEN3001_Workshop 3)
For example,
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Speaker 2 (GEN3001_Workshop 3)
things that need to be controlled are age.
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Speaker 3 (GEN3001_Workshop 3)
Okay,
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Speaker 2 (GEN3001_Workshop 3)
so you need to select your cases,
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Speaker 2 (GEN3001_Workshop 3)
your controls of around the same age group and you need to vary
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Speaker 2 (GEN3001_Workshop 3)
the age group.
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Speaker 2 (GEN3001_Workshop 3)
Otherwise,
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Speaker 2 (GEN3001_Workshop 3)
it will be a very biased study.
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Speaker 2 (GEN3001_Workshop 3)
You also need to factor in gender.
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Speaker 2 (GEN3001_Workshop 3)
Okay, because you cannot only select for one gender and ignore the other.
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Speaker 5 (GEN3001_Workshop 3)
Okay,
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Speaker 2 (GEN3001_Workshop 3)
and then the last one,
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Speaker 2 (GEN3001_Workshop 3)
which is also quite important,
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Speaker 2 (GEN3001_Workshop 3)
will be ethnicity.
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Speaker 2 (GEN3001_Workshop 3)
Okay,
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Speaker 2 (GEN3001_Workshop 3)
this one also has to be factored in.
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Speaker 1 (GEN3001_Workshop 3)
Right,
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Speaker 2 (GEN3001_Workshop 3)
so if we talk about population,
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Speaker 2 (GEN3001_Workshop 3)
let's say I name a population here,
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Speaker 2 (GEN3001_Workshop 3)
I call it an Asian population,
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Speaker 2 (GEN3001_Workshop 3)
and we are trying to study maybe type 2 diabetes.
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Speaker 2 (GEN3001_Workshop 3)
For example,
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Speaker 2 (GEN3001_Workshop 3)
our cases are people with type 2 diabetes.
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Speaker 2 (GEN3001_Workshop 3)
Our controls are people without type 2 diabetes.
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Speaker 2 (GEN3001_Workshop 3)
But it doesn't mean that these people who
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Speaker 2 (GEN3001_Workshop 3)
are controlled won't have predispositions.
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Speaker 2 (GEN3001_Workshop 3)
For example,
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Speaker 2 (GEN3001_Workshop 3)
they could be people who are obese that may drive type 2
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Speaker 2 (GEN3001_Workshop 3)
diabetes.
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Speaker 2 (GEN3001_Workshop 3)
But because at that point when you recruit them,
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Speaker 2 (GEN3001_Workshop 3)
they don't have type 2 diabetes,
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Speaker 2 (GEN3001_Workshop 3)
we will still consider them as controlled.
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Speaker 2 (GEN3001_Workshop 3)
Okay, so in my Asian population,
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Speaker 2 (GEN3001_Workshop 3)
when I talk about ethnicity,
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Speaker 2 (GEN3001_Workshop 3)
that means that I will need to recruit,
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Speaker 2 (GEN3001_Workshop 3)
let's say,
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Speaker 2 (GEN3001_Workshop 3)
my Chinese Asians,
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Speaker 5 (GEN3001_Workshop 3)
right?
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Speaker 2 (GEN3001_Workshop 3)
Chinese Asians can range from a very big group.
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Speaker 2 (GEN3001_Workshop 3)
I can have my Taiwanese,
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Speaker 2 (GEN3001_Workshop 3)
I can have my Singaporeans,
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Speaker 2 (GEN3001_Workshop 3)
I can have my Malaysians,
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Speaker 1 (GEN3001_Workshop 3)
right?
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Speaker 2 (GEN3001_Workshop 3)
So I need to factor in ethnic groups as well when
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Speaker 2 (GEN3001_Workshop 3)
I consider Asian.
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Speaker 2 (GEN3001_Workshop 3)
Okay, now one of the important things here is that because you're going to
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Speaker 2 (GEN3001_Workshop 3)
group many, many people together to do this study,
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Speaker 2 (GEN3001_Workshop 3)
you will get lots of data.
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Speaker 1 (GEN3001_Workshop 3)
Okay,
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Speaker 2 (GEN3001_Workshop 3)
now from the data,
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Speaker 2 (GEN3001_Workshop 3)
what can you find out?
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Speaker 2 (GEN3001_Workshop 3)
You can find out about individual down to the basis.
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Speaker 2 (GEN3001_Workshop 3)
So we can use SNPs to inform us about any slight changes
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Speaker 2 (GEN3001_Workshop 3)
between the disease versus non -disease.
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Speaker 2 (GEN3001_Workshop 3)
Okay, now we will be able to identify
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Speaker 2 (GEN3001_Workshop 3)
variants in the
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Speaker 2 (GEN3001_Workshop 3)
genes.
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Speaker 2 (GEN3001_Workshop 3)
Okay,
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Speaker 2 (GEN3001_Workshop 3)
so what do I mean by variants?
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Speaker 2 (GEN3001_Workshop 3)
For example,
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Speaker 2 (GEN3001_Workshop 3)
if I have a gene here,
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Speaker 1 (GEN3001_Workshop 3)
okay,
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Speaker 2 (GEN3001_Workshop 3)
let's say this is the wild type.
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Speaker 2 (GEN3001_Workshop 3)
alleles, a TT,
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Speaker 2 (GEN3001_Workshop 3)
for somebody who is controlled without the disease.
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Speaker 2 (GEN3001_Workshop 3)
Now,
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Speaker 2 (GEN3001_Workshop 3)
in comparison to somebody who is a case,
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Speaker 2 (GEN3001_Workshop 3)
I will probably have a variant,
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Speaker 2 (GEN3001_Workshop 3)
let's say an AA.
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Speaker 2 (GEN3001_Workshop 3)
So it's a variant because it is no
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Speaker 2 (GEN3001_Workshop 3)
longer like the wild -type alleles.
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Speaker 2 (GEN3001_Workshop 3)
So this is what your GWAS will be able to pick down,
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Speaker 2 (GEN3001_Workshop 3)
down to the individual nucleotide sequence.
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Speaker 2 (GEN3001_Workshop 3)
Okay, now it sounds like it's very good,
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Speaker 2 (GEN3001_Workshop 3)
right? You can recruit many people,
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Speaker 2 (GEN3001_Workshop 3)
you have a lot of data,
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Speaker 2 (GEN3001_Workshop 3)
you can pin through those layers of the data.
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Speaker 2 (GEN3001_Workshop 3)
However,
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Speaker 2 (GEN3001_Workshop 3)
one of the more important thing here to consider is that it
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Speaker 2 (GEN3001_Workshop 3)
can be very costly because you're getting so many people,
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Speaker 2 (GEN3001_Workshop 3)
you have to pay for them or at least provide an incentive to recruit these people.
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Speaker 2 (GEN3001_Workshop 3)
You have to hire very expensive bioinformaticians to help
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Speaker 2 (GEN3001_Workshop 3)
you layer down all these different data sets.
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Speaker 2 (GEN3001_Workshop 3)
Okay, now the other important thing is to consider also
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Speaker 2 (GEN3001_Workshop 3)
the fact that you are just looking at associations,
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Speaker 2 (GEN3001_Workshop 3)
right,
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Speaker 2 (GEN3001_Workshop 3)
between your variants.
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Speaker 2 (GEN3001_Workshop 3)
and your disease state,
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Speaker 2 (GEN3001_Workshop 3)
example like the one I told you about type 2 diabetes,
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Speaker 2 (GEN3001_Workshop 3)
you may have come across many different types of genes that may be associated
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Speaker 2 (GEN3001_Workshop 3)
with type 2 diabetes.
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Speaker 2 (GEN3001_Workshop 3)
For example,
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Speaker 2 (GEN3001_Workshop 3)
genes that are related to obesity,
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Speaker 2 (GEN3001_Workshop 3)
genes that may cause transcription factor increase in
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Speaker 2 (GEN3001_Workshop 3)
the level of let's say cholesterol and all that.
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Speaker 2 (GEN3001_Workshop 3)
This is only just purely by association,
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Speaker 2 (GEN3001_Workshop 3)
but it is not the same as co -relation.
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Speaker 1 (GEN3001_Workshop 3)
Sorry,
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Speaker 2 (GEN3001_Workshop 3)
not the same as causal relationship.
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Speaker 1 (GEN3001_Workshop 3)
Okay,
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Speaker 2 (GEN3001_Workshop 3)
so we cannot drill down to those variants that shows up a difference in
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Speaker 2 (GEN3001_Workshop 3)
our control to our cases.
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Speaker 2 (GEN3001_Workshop 3)
And so then,
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Speaker 3 (GEN3001_Workshop 3)
okay,
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Speaker 2 (GEN3001_Workshop 3)
I have variants 1,
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Speaker 2 (GEN3001_Workshop 3)
2,
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3.
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Speaker 2 (GEN3001_Workshop 3)
All these are the differences I get.
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Speaker 2 (GEN3001_Workshop 3)
between my case and my control.
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Speaker 2 (GEN3001_Workshop 3)
And I say that these differences are what drives
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Speaker 2 (GEN3001_Workshop 3)
type 2 diabetes.
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Speaker 2 (GEN3001_Workshop 3)
You cannot say this.
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Speaker 2 (GEN3001_Workshop 3)
What you can say is that they are probably related
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Speaker 2 (GEN3001_Workshop 3)
to the disease.
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Speaker 2 (GEN3001_Workshop 3)
So you cannot nail down the
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Speaker 2 (GEN3001_Workshop 3)
actual disease -causing gene in a GWAS because it's
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Speaker 2 (GEN3001_Workshop 3)
a lot of people.
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Speaker 2 (GEN3001_Workshop 3)
And all these people,
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Speaker 2 (GEN3001_Workshop 3)
they are not related.
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Speaker 2 (GEN3001_Workshop 3)
The only thing that they have in common is either they have the disease or they don't
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Speaker 2 (GEN3001_Workshop 3)
have the disease.
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Speaker 2 (GEN3001_Workshop 3)
That's all you can say about them.
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Speaker 2 (GEN3001_Workshop 3)
And you've controlled them for the different varying ages.
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Speaker 2 (GEN3001_Workshop 3)
You've controlled for different gender groups.
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Speaker 2 (GEN3001_Workshop 3)
You have also controlled them based on their ethnic groups.
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Speaker 2 (GEN3001_Workshop 3)
So they are not related by blood.
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Speaker 2 (GEN3001_Workshop 3)
So the best you can do is to say that the differences you see
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Speaker 2 (GEN3001_Workshop 3)
that you have obtained from the results is purely just because they are
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Speaker 2 (GEN3001_Workshop 3)
associated.
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Speaker 2 (GEN3001_Workshop 3)
Okay, now if you want to know the actual cause of the disease,
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Speaker 3 (GEN3001_Workshop 3)
right,
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Speaker 2 (GEN3001_Workshop 3)
what do you do?
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Speaker 2 (GEN3001_Workshop 3)
You take those causal variants like your 1,
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Speaker 2 (GEN3001_Workshop 3)
2, 3 over here,
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Speaker 2 (GEN3001_Workshop 3)
then you need to do individual pedigree studies.
12:17
S…
Speaker 1 (GEN3001_Workshop 3)
Okay,
12:23
S…
Speaker 2 (GEN3001_Workshop 3)
so what is pedigree studies?
12:25
S…
Speaker 2 (GEN3001_Workshop 3)
You study people who are related by blood,
12:28
S…
Speaker 1 (GEN3001_Workshop 3)
right,
12:28
S…
Speaker 2 (GEN3001_Workshop 3)
within a family.
12:29
S…
Speaker 1 (GEN3001_Workshop 3)
Okay,
12:30
S…
Speaker 2 (GEN3001_Workshop 3)
and then you can nail down to which one is the one that caused the disease
12:35
S…
Speaker 2 (GEN3001_Workshop 3)
in that family.
12:41
S…
Speaker 2 (GEN3001_Workshop 3)
Okay, so this is GWAS.
12:43
S…
Speaker 2 (GEN3001_Workshop 3)
And then if we look at the other example of our forward
12:47
S…
Speaker 2 (GEN3001_Workshop 3)
genetics, here we have whole exome sequencing or
12:51
S…
Speaker 2 (GEN3001_Workshop 3)
WES for short.
12:53
S…
Speaker 1 (GEN3001_Workshop 3)
Okay,
12:54
S…
Speaker 2 (GEN3001_Workshop 3)
now the name here would have already given you
12:58
S…
Speaker 2 (GEN3001_Workshop 3)
a clue what you are trying to analyze.
13:00
S…
Speaker 2 (GEN3001_Workshop 3)
So exome,
13:01
S…
Speaker 2 (GEN3001_Workshop 3)
meaning the compilation of all the exomes from a single
13:05
S…
Speaker 2 (GEN3001_Workshop 3)
person.
13:06
S…
Speaker 2 (GEN3001_Workshop 3)
So we are looking at only exonic sequences.
13:12
S…
Speaker 1 (GEN3001_Workshop 3)
Okay,
13:12
S…
Speaker 2 (GEN3001_Workshop 3)
we will ignore the introns.
13:15
S…
Speaker 5 (GEN3001_Workshop 3)
Okay,
13:17
S…
Speaker 2 (GEN3001_Workshop 3)
so from the axons,
13:19
S…
Speaker 2 (GEN3001_Workshop 3)
these are your information that will be made into your
13:23
S…
Speaker 2 (GEN3001_Workshop 3)
messenger that will be made eventually into the proteins.
13:28
S…
Speaker 2 (GEN3001_Workshop 3)
But at the level,
13:30
S…
Speaker 2 (GEN3001_Workshop 3)
this is what we want,
13:31
S…
Speaker 2 (GEN3001_Workshop 3)
the exonic sequences.
13:33
S…
Speaker 2 (GEN3001_Workshop 3)
So if you compare GWAS and WES,
13:37
S…
Speaker 2 (GEN3001_Workshop 3)
the difference here is the scale of what
13:41
S…
Speaker 2 (GEN3001_Workshop 3)
you're comparing.
13:41
S…
Speaker 2 (GEN3001_Workshop 3)
In GWAS,
13:43
S…
Speaker 2 (GEN3001_Workshop 3)
you're comparing all the entire genome,
13:46
S…
Speaker 2 (GEN3001_Workshop 3)
introns,
13:47
S…
Speaker 2 (GEN3001_Workshop 3)
exons.
13:48
S…
Speaker 2 (GEN3001_Workshop 3)
But in WES,
13:50
S…
Speaker 2 (GEN3001_Workshop 3)
purely just the exome.
13:52
S…
Speaker 2 (GEN3001_Workshop 3)
Okay, then the second level of difference here is usually
13:56
S…
Speaker 2 (GEN3001_Workshop 3)
for this kind of WES,
13:58
S…
Speaker 2 (GEN3001_Workshop 3)
because you're nailing down to the correct gene
14:03
S…
Speaker 2 (GEN3001_Workshop 3)
that causes the disease,
14:04
S…
Speaker 2 (GEN3001_Workshop 3)
we will study them in pedigrees.
14:07
S…
Speaker 2 (GEN3001_Workshop 3)
So these are for people who are related.
14:10
S…
Speaker 1 (GEN3001_Workshop 3)
Okay,
14:12
S…
Speaker 2 (GEN3001_Workshop 3)
not the same as GWAS where they are not related.
14:14
S…
Speaker 1 (GEN3001_Workshop 3)
Okay,
14:17
S…
Speaker 2 (GEN3001_Workshop 3)
so when they are related by blood,
14:20
S…
Speaker 2 (GEN3001_Workshop 3)
you can then put them into a chart,
14:22
S…
Speaker 2 (GEN3001_Workshop 3)
a family chart like that.
14:24
S…
Speaker 2 (GEN3001_Workshop 3)
that shows their relationship between one another.
14:26
S…
Speaker 2 (GEN3001_Workshop 3)
Okay,
14:27
S…
Speaker 2 (GEN3001_Workshop 3)
so this is something that you've already learned in Gen 2,
14:30
S…
Speaker 2 (GEN3001_Workshop 3)
right? You know how to read the pedigree chart.
14:32
S…
Speaker 1 (GEN3001_Workshop 3)
Okay,
14:33
S…
Speaker 2 (GEN3001_Workshop 3)
the square is male,
14:35
S…
Speaker 2 (GEN3001_Workshop 3)
circle is female,
14:36
S…
Speaker 2 (GEN3001_Workshop 3)
colored means affected by the disease,
14:41
S…
Speaker 2 (GEN3001_Workshop 3)
uncolored means unaffected by the disease.
14:45
S…
Speaker 2 (GEN3001_Workshop 3)
Okay, so using this pedigree chart,
14:47
S…
Speaker 2 (GEN3001_Workshop 3)
you can then tell whether there is a form of inheritance
14:51
S…
Speaker 2 (GEN3001_Workshop 3)
or not from that disease genes.
14:53
S…
Speaker 1 (GEN3001_Workshop 3)
Okay,
14:54
S…
Speaker 2 (GEN3001_Workshop 3)
and you can also tell whether it has arisen very recently
14:58
S…
Speaker 2 (GEN3001_Workshop 3)
or not.
15:00
S…
Speaker 2 (GEN3001_Workshop 3)
generation.
15:01
S…
Speaker 1 (GEN3001_Workshop 3)
Okay,
15:10
S…
Speaker 2 (GEN3001_Workshop 3)
then similarly like what we discussed in GWAS,
15:12
S…
Speaker 2 (GEN3001_Workshop 3)
right, they are also good and bad about the technique itself.
15:16
S…
Speaker 2 (GEN3001_Workshop 3)
WES compared to GWAS,
15:19
S…
Speaker 2 (GEN3001_Workshop 3)
the scale is very,
15:20
S…
Speaker 2 (GEN3001_Workshop 3)
very different because one is large population study.
15:23
S…
Speaker 2 (GEN3001_Workshop 3)
This is just within the family.
15:25
S…
Speaker 2 (GEN3001_Workshop 3)
So cost -wise,
15:27
S…
Speaker 2 (GEN3001_Workshop 3)
it's cheaper because one is looking at bulk.
15:30
S…
Speaker 2 (GEN3001_Workshop 3)
Here is looking at individuals.
15:32
S…
Speaker 2 (GEN3001_Workshop 3)
Okay,
15:33
S…
Speaker 2 (GEN3001_Workshop 3)
so it's much more cheaper.
15:35
S…
Speaker 2 (GEN3001_Workshop 3)
and the data that you get is much lesser as you can imagine
15:39
S…
Speaker 2 (GEN3001_Workshop 3)
because of the scale and the size and the number of people involved okay
15:43
S…
Speaker 2 (GEN3001_Workshop 3)
so less data but doesn't mean data
15:48
S…
Speaker 2 (GEN3001_Workshop 3)
is not quality okay so we are talking about quantity over
15:52
S…
Speaker 2 (GEN3001_Workshop 3)
quality here so quantity is much less but quality
15:56
S…
Speaker 2 (GEN3001_Workshop 3)
still the same okay and perhaps even more because now
16:00
S…
Speaker 2 (GEN3001_Workshop 3)
you are looking at family
16:02
S…
Speaker 1 (GEN3001_Workshop 3)
Okay,
16:03
S…
Speaker 2 (GEN3001_Workshop 3)
now the other thing that is a plus point for
16:07
S…
Speaker 2 (GEN3001_Workshop 3)
WES is because you are looking at the axonic sequences,
16:11
S…
Speaker 2 (GEN3001_Workshop 3)
it will give you an idea about protein
16:15
S…
Speaker 2 (GEN3001_Workshop 3)
function.
16:16
S…
Speaker 1 (GEN3001_Workshop 3)
Okay,
16:17
S…
Speaker 2 (GEN3001_Workshop 3)
and the protein function can be directly related to the disease itself.
16:21
S…
Speaker 1 (GEN3001_Workshop 3)
Okay,
16:25
S…
Speaker 2 (GEN3001_Workshop 3)
now what is the negative side of this is that because you are
16:29
S…
Speaker 2 (GEN3001_Workshop 3)
going to be studying and tracing down the generation within the family,
16:34
S…
Speaker 2 (GEN3001_Workshop 3)
You can only focus on one gene at one
16:38
S…
Speaker 2 (GEN3001_Workshop 3)
time perhaps,
16:39
S…
Speaker 5 (GEN3001_Workshop 3)
right?
16:39
S…
Speaker 2 (GEN3001_Workshop 3)
So we are looking at mostly monogenic diseases.
16:43
S…
Speaker 2 (GEN3001_Workshop 3)
But a little different for GWAS because you are looking at a group
16:47
S…
Speaker 2 (GEN3001_Workshop 3)
of people,
16:47
S…
Speaker 1 (GEN3001_Workshop 3)
right?
16:48
S…
Speaker 2 (GEN3001_Workshop 3)
And you are looking at variants.
16:51
S…
Speaker 2 (GEN3001_Workshop 3)
The variants could highlight different chromosomes,
16:53
S…
Speaker 2 (GEN3001_Workshop 3)
what are the problems,
16:54
S…
Speaker 2 (GEN3001_Workshop 3)
the faults in those genes over there,
16:57
S…
Speaker 3 (GEN3001_Workshop 3)
right?
16:58
S…
Speaker 2 (GEN3001_Workshop 3)
And then that will give you an indication about diabetes risk profile.
17:02
S…
Speaker 2 (GEN3001_Workshop 3)
But you can also pick up profile risk for other type of diseases
17:06
S…
Speaker 2 (GEN3001_Workshop 3)
that are associated with type 2 diabetes,
17:09
S…
Speaker 2 (GEN3001_Workshop 3)
for example.
17:10
S…
Speaker 2 (GEN3001_Workshop 3)
So maybe things like cardiovascular risk,
17:13
S…
Speaker 2 (GEN3001_Workshop 3)
you can also pick up.
17:14
S…
Speaker 2 (GEN3001_Workshop 3)
Obesity risk,
17:15
S…
Speaker 2 (GEN3001_Workshop 3)
you can also pick up.
17:16
S…
Speaker 1 (GEN3001_Workshop 3)
Now,
17:19
S…
Speaker 2 (GEN3001_Workshop 3)
the other minus point about here is that it would be better
17:23
S…
Speaker 2 (GEN3001_Workshop 3)
off if you were to study things in newly...
17:29
S…
Speaker 2 (GEN3001_Workshop 3)
formed offspring so children for example would
17:33
S…
Speaker 2 (GEN3001_Workshop 3)
be much more effective because you're tracing down the family history rather than
17:37
S…
Speaker 2 (GEN3001_Workshop 3)
to study adults because the adults perhaps would have already gotten the disease
17:42
S…
Speaker 2 (GEN3001_Workshop 3)
themselves okay so this is more informative for you within
17:46
S…
Speaker 2 (GEN3001_Workshop 3)
a family if you are trying to find out about the risk of
17:51
S…
Speaker 2 (GEN3001_Workshop 3)
maybe having an offspring with that amount of risk or that high
17:55
S…
Speaker 2 (GEN3001_Workshop 3)
amount of chance
17:56
S…
Speaker 2 (GEN3001_Workshop 3)
Okay, the other important thing over here is that because
18:00
S…
Speaker 2 (GEN3001_Workshop 3)
you're only studying the axonic sequences,
18:03
S…
Speaker 2 (GEN3001_Workshop 3)
there is a chance that you're going to miss out on all the intronic information.
18:08
S…
Speaker 2 (GEN3001_Workshop 3)
Because the introns,
18:10
S…
Speaker 2 (GEN3001_Workshop 3)
even though we say that they don't make up into the protein,
18:12
S…
Speaker 2 (GEN3001_Workshop 3)
but they are regulators.
18:18
S…
Speaker 2 (GEN3001_Workshop 3)
Okay, so they regulate what?
18:20
S…
Speaker 2 (GEN3001_Workshop 3)
They regulate things like transcription levels,
18:23
S…
Speaker 2 (GEN3001_Workshop 3)
transcription rate,
18:24
S…
Speaker 2 (GEN3001_Workshop 3)
which will also affect the final protein functional
18:28
S…
Speaker 2 (GEN3001_Workshop 3)
products and also the activity levels.
18:45
S…
Speaker 2 (GEN3001_Workshop 3)
Okay, so if we apply this to animal models,
18:47
S…
Speaker 2 (GEN3001_Workshop 3)
earlier on what you saw were just applied to humans,
18:50
S…
Speaker 2 (GEN3001_Workshop 3)
okay?
18:51
S…
Speaker 2 (GEN3001_Workshop 3)
If we were to do it in animal models,
18:54
S…
Speaker 2 (GEN3001_Workshop 3)
how do we do this?
18:55
S…
Speaker 2 (GEN3001_Workshop 3)
So just to recap,
18:57
S…
Speaker 2 (GEN3001_Workshop 3)
when we talk about forward genetics,
18:59
S…
Speaker 2 (GEN3001_Workshop 3)
we are saying phenotype to
19:04
S…
Speaker 2 (GEN3001_Workshop 3)
genotype.
19:07
S…
Speaker 2 (GEN3001_Workshop 3)
Okay, knowing how the characteristic of the animal is,
19:10
S…
Speaker 2 (GEN3001_Workshop 3)
the characteristic appearance of the animal.
19:14
S…
Speaker 2 (GEN3001_Workshop 3)
And then now we are trying to find out what is the gene that causes that characteristic.
19:18
S…
Speaker 1 (GEN3001_Workshop 3)
Okay,
19:19
S…
Speaker 2 (GEN3001_Workshop 3)
so you start off with parental organism.
19:25
S…
Speaker 2 (GEN3001_Workshop 3)
Okay,
19:26
S…
Speaker 2 (GEN3001_Workshop 3)
so here we are focusing on zebrafish.
19:29
S…
Speaker 2 (GEN3001_Workshop 3)
So assuming here they are all zebrafish.
19:31
S…
Speaker 1 (GEN3001_Workshop 3)
Okay,
19:32
S…
Speaker 2 (GEN3001_Workshop 3)
so we have a breeding pair of the parental fishes.
19:36
S…
Speaker 2 (GEN3001_Workshop 3)
okay so plus plus this is the genotype right so this is complete
19:40
S…
Speaker 2 (GEN3001_Workshop 3)
wild type female fish and then this is bred with a male fish
19:45
S…
Speaker 2 (GEN3001_Workshop 3)
that is chemically induced with a mutation okay
19:49
S…
Speaker 1 (GEN3001_Workshop 3)
so
19:56
S…
Speaker 2 (GEN3001_Workshop 3)
we add this enu treated male so it's a chemically
20:00
S…
Speaker 2 (GEN3001_Workshop 3)
mutation in the male fish okay so
20:04
S…
Speaker 2 (GEN3001_Workshop 3)
when we breed them with the wild type female this is the
20:08
S…
Speaker 2 (GEN3001_Workshop 3)
very first offspring we get so a set of fish f1 we
20:12
S…
Speaker 2 (GEN3001_Workshop 3)
call okay so if you do
20:17
S…
Speaker 2 (GEN3001_Workshop 3)
the genotyping process okay so one of your fish
20:21
S…
Speaker 2 (GEN3001_Workshop 3)
will have carried over the mutation from
20:25
S…
Speaker 2 (GEN3001_Workshop 3)
the male
20:26
S…
Speaker 2 (GEN3001_Workshop 3)
Okay, so we have a plus slash M.
20:29
S…
Speaker 2 (GEN3001_Workshop 3)
So M here would be the mutant or the mutation.
20:33
S…
Speaker 1 (GEN3001_Workshop 3)
Okay,
20:35
S…
Speaker 2 (GEN3001_Workshop 3)
one of the mutant allele.
20:37
S…
Speaker 1 (GEN3001_Workshop 3)
Okay,
20:38
S…
Speaker 2 (GEN3001_Workshop 3)
but this is still considered heterozygous mutant,
20:41
S…
Speaker 2 (GEN3001_Workshop 3)
right?
20:41
S…
Speaker 2 (GEN3001_Workshop 3)
So not what we want because if we want to find
20:46
S…
Speaker 2 (GEN3001_Workshop 3)
out about the genotype,
20:47
S…
Speaker 2 (GEN3001_Workshop 3)
we will have to pick a fish that is completely homozygous mutant.
20:51
S…
Speaker 3 (GEN3001_Workshop 3)
Okay,
20:52
S…
Speaker 2 (GEN3001_Workshop 3)
so then we continue breeding it,
20:54
S…
Speaker 1 (GEN3001_Workshop 3)
right?
20:55
S…
Speaker 2 (GEN3001_Workshop 3)
Our next level of the offspring we get will be the F2 generation.
20:59
S…
Speaker 2 (GEN3001_Workshop 3)
Okay,
20:59
S…
Speaker 2 (GEN3001_Workshop 3)
so similarly,
21:00
S…
Speaker 2 (GEN3001_Workshop 3)
F2 generation,
21:01
S…
Speaker 2 (GEN3001_Workshop 3)
when you do the crossing over of the genotype,
21:03
S…
Speaker 2 (GEN3001_Workshop 3)
you get a half -half genotype here that
21:08
S…
Speaker 2 (GEN3001_Workshop 3)
is heterozygous.
21:11
S…
Speaker 2 (GEN3001_Workshop 3)
Okay, so with the heterozygous,
21:12
S…
Speaker 2 (GEN3001_Workshop 3)
again, I can't study them because there will be mixed signals coming
21:17
S…
Speaker 2 (GEN3001_Workshop 3)
from the wild -type allele.
21:18
S…
Speaker 2 (GEN3001_Workshop 3)
So I will need to cross them again to final generation
21:22
S…
Speaker 2 (GEN3001_Workshop 3)
here, F3.
21:23
S…
Speaker 2 (GEN3001_Workshop 3)
So F3 over here,
21:25
S…
Speaker 2 (GEN3001_Workshop 3)
what you will see is that there will be 75 %
21:29
S…
Speaker 2 (GEN3001_Workshop 3)
of them that have no phenotype,
21:32
S…
Speaker 1 (GEN3001_Workshop 3)
okay,
21:35
S…
Speaker 2 (GEN3001_Workshop 3)
which is equivalent to three quarters.
21:36
S…
Speaker 2 (GEN3001_Workshop 3)
Okay,
21:38
S…
Speaker 2 (GEN3001_Workshop 3)
and the last one quarter is the one I want.
21:42
S…
Speaker 2 (GEN3001_Workshop 3)
Okay, that shows up the phenotype.
21:44
S…
Speaker 2 (GEN3001_Workshop 3)
So bear in mind,
21:48
S…
Speaker 2 (GEN3001_Workshop 3)
even though what we really wanted is
21:52
S…
Speaker 2 (GEN3001_Workshop 3)
to observe the phenotype,
21:54
S…
Speaker 2 (GEN3001_Workshop 3)
you can't really pick any fishes that you want throughout the entire
21:58
S…
Speaker 2 (GEN3001_Workshop 3)
generation of offspring.
22:00
S…
Speaker 2 (GEN3001_Workshop 3)
You have to really look at the genotype itself because it
22:04
S…
Speaker 2 (GEN3001_Workshop 3)
is the genotype that helps to manifest the phenotype.
22:06
S…
Speaker 1 (GEN3001_Workshop 3)
Okay,
22:18
S…
Speaker 2 (GEN3001_Workshop 3)
so then that will sum up 3 .1.
22:21
S…
Speaker 2 (GEN3001_Workshop 3)
Okay, in 3 .2 here,
22:23
S…
Speaker 2 (GEN3001_Workshop 3)
we are going to have a little bit of a
22:28
S…
Speaker 2 (GEN3001_Workshop 3)
mouse model,
22:29
S…
Speaker 2 (GEN3001_Workshop 3)
but there will be more emphasis in the later topic.
22:32
S…
Speaker 2 (GEN3001_Workshop 3)
Okay, so just take this as a little bit of that
22:36
S…
Speaker 2 (GEN3001_Workshop 3)
reverse genetic technique.
22:39
S…
Speaker 2 (GEN3001_Workshop 3)
Okay,
22:39
S…
Speaker 2 (GEN3001_Workshop 3)
so knocking out mice.
22:42
S…
Speaker 2 (GEN3001_Workshop 3)
Then we also have a bit about how we can utilize the
22:46
S…
Speaker 2 (GEN3001_Workshop 3)
mice models to help us model diseases.
22:49
S…
Speaker 2 (GEN3001_Workshop 3)
And then finally,
22:51
S…
Speaker 2 (GEN3001_Workshop 3)
that's the one that we want to focus on using zebrafish as a model
22:55
S…
Speaker 2 (GEN3001_Workshop 3)
of study.
22:56
S…
Speaker 2 (GEN3001_Workshop 3)
So we will use zebrafish as the ideal choice
23:00
S…
Speaker 2 (GEN3001_Workshop 3)
of model to look at human diseases for this topic.
23:09
S…
Speaker 2 (GEN3001_Workshop 3)
Slide 11,
23:10
S…
Speaker 2 (GEN3001_Workshop 3)
how do you get a complete knockout mice?
23:12
S…
Speaker 2 (GEN3001_Workshop 3)
So you will have to do this at the level of the cells.
23:16
S…
Speaker 2 (GEN3001_Workshop 3)
So in the previous topic,
23:18
S…
Speaker 2 (GEN3001_Workshop 3)
you've learned about stem cells,
23:20
S…
Speaker 2 (GEN3001_Workshop 3)
right? Your embryonic stem cells.
23:23
S…
Speaker 2 (GEN3001_Workshop 3)
Okay, so what you do here with the embryonic stem cells is that
23:27
S…
Speaker 2 (GEN3001_Workshop 3)
you take those embryonic stem cells from animal origin,
23:31
S…
Speaker 2 (GEN3001_Workshop 3)
you culture them on a plate,
23:33
S…
Speaker 2 (GEN3001_Workshop 3)
okay, and then what you do is that you probably have to switch
23:37
S…
Speaker 2 (GEN3001_Workshop 3)
on certain genes or switch off certain genes depending on what your goal is,
23:41
S…
Speaker 2 (GEN3001_Workshop 3)
and then take those that have already completely grown on a
23:45
S…
Speaker 2 (GEN3001_Workshop 3)
full dish,
23:46
S…
Speaker 1 (GEN3001_Workshop 3)
right,
23:47
S…
Speaker 2 (GEN3001_Workshop 3)
and then you electroporate it into a blastocyst.
23:53
S…
Speaker 2 (GEN3001_Workshop 3)
Okay, so in the first topic,
23:55
S…
Speaker 2 (GEN3001_Workshop 3)
you've learned what blastosis is,
23:56
S…
Speaker 2 (GEN3001_Workshop 3)
right? A growing ball of cells with lots of inner cell mass,
24:01
S…
Speaker 1 (GEN3001_Workshop 3)
right?
24:02
S…
Speaker 2 (GEN3001_Workshop 3)
So you electroporate this blastosis,
24:05
S…
Speaker 2 (GEN3001_Workshop 3)
meaning you open up the pores using an electric current so
24:09
S…
Speaker 2 (GEN3001_Workshop 3)
that you can deliver your ESCs that you have modified.
24:12
S…
Speaker 2 (GEN3001_Workshop 3)
Okay,
24:13
S…
Speaker 2 (GEN3001_Workshop 3)
once you have created this modified blastosis,
24:20
S…
Speaker 2 (GEN3001_Workshop 3)
Can you see that here they sort of color -coded it for you?
24:23
S…
Speaker 2 (GEN3001_Workshop 3)
These are your ESCs that you have grown in the culture.
24:26
S…
Speaker 2 (GEN3001_Workshop 3)
Then you will implant this to a surrogate mother.
24:31
S…
Speaker 2 (GEN3001_Workshop 3)
So the surrogate mother will
24:35
S…
Speaker 2 (GEN3001_Workshop 3)
now carry the modified blastosis,
මෙම පරිවර්තනය AI විසින් ජනනය කරන ලදී (ස්වයංක්රීය කථාව හඳුනා). දෝෂ අඩංගු විය හැක - විවේචනාත්මක භාවිතය සඳහා මුල් ශ්රව්ය එරෙහිව තහවුරු. AI ප්රතිපත්තිය
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