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PETER REDDIEN: Now, to think about our expectation.
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I'm going to draw out another chromosome.
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So I just drew on this board one chromosome,
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chromosome 1, the chromosome that gene X happens to be on.
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So let's just think about what would happen with chromosome 2
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in this cross, for thinking about our expected outcome.
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So I'm going do the same cross now, but now
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with just chromosome 2.
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So I'm just going to start with the F1, where our F1 we
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had polymorphisms that differ.
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Now I'm going to draw the two homologues of chromosome 2.
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So we have one with white SNPs from this original individual,
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and one chromosome with the blue type SNPs.
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So that's a different chromosome.
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But these chromosomes have polymorphisms as well.
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So let me just give you an example.
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Let's say this polymorphism is SNP2,
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we have a white type SNP2, and a blue type SNP2.
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So we crossed to one of these individuals
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with these white type SNPs for chromosome 1 and chromosome 2.
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So that's the same cross we did before,
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but I'm just adding on this other chromosome.
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And now we select individuals that are
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gene X minus over gene X minus.
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We know we're going to get one of these chromosomes 2
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from this parent.
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So we'll have one chromosome that has SNP2, the white type.
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And what will we get from this parent?
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Any predictions?
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What will the genotype of these individuals
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be, this next generation for SNP2?
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50% of the time, you'll get this white SNP2.
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And 50% of the time you'll get this blue SNP2.
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That's just equal segregation.
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So nothing really too fancy here.
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It's just equal segregation.
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But instead of just alleles of like big A and little a,
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it's just a white allele and a blue allele of a polymorphism.
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Other questions?
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Yeah?
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But yes.
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So crossing over is only happening
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between the same chromosome.
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So you're only having this crossing over possibility
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between the two homologues of chromosome one.
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Let's now think about our data.
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So let's make a graph.
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Let me give myself some space.
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So we're going think about our sequencing data.
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And we want to look at the frequency of the reads,
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our frequency of sequence reads.
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We're going look at the frequency of sequencing reads
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in our data that are blue type.
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So we're going to look at the frequency of the reads that
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have this blue polymorphism, as opposed
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to the white polymorphism.
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So that'll be our y-axis here.
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And then our x-axis is going to be--
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I'm going to depict it.
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It's going to be positioned along a chromosome.
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So this is going to be chromosome 2 position.
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So you can imagine lining out the sequence of the chromosome
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here on our x-axis from one nucleotide to the other.
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We've got a long chromosome here.
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And we know where all the polymorphisms
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are on here, from our reference sequence and our information.
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And we can now look, and these individuals
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and our data that we have for the frequency of the sequence
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reads that are blue type.
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Any predictions?
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So I have one prediction.
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It's 50-50.
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Let's see, raise your hand if you think it's 50-50.
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Raise your hand if you think of something else.
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No one votes for anything else.
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Oh, wait.
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Maybe one vote in the back.
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OK, I'll come back to you.
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Raise your hand if you're unsure.
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So let's think about it.
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These we just talked about, are our expected outcomes,
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and the ratio of these individuals
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is going to be 1 to 1.
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So 50% will be this way, and 50% will be this way.
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Why is that?
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Well, again, if we just think about this
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as a big A and a little A, or something like that,
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half the time you get this allele, half the time you
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get that allele.
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We'd expect 50% of the time you get this,
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50% of the time you get that.
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So now we have to do sequencing.
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So let's say these bottom SNP2s came from this parent.
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They are going to be included in our sequencing data.
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Half of the reads are going to come from this chromosome.
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We're going to be sequencing all these individuals pooled.
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So half of the reads are going to come from these chromosomes.
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So 50% are going to be from here.
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The other 50% are going to be the ones that
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came from this parent.
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And half of the time they'll be white,
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and half the time they'll be blue.
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All right, so now given that, what
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is your expected frequency of blue type
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SNPs in our sequencing data?
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STUDENT: 25%?
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PETER REDDIEN: 25%.
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So we've got some value here, 0.25.
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And if we look--
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now we look SNP by SNP across the chromosome.
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We just talked it through for SNP2.
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We say it'd be 0.25 for SNP2.
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What would it be for some other SNP right next to SNP2?
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The same or different?
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Same.
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So what would this graph look like?
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STUDENT: Some points scattered throughout?
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PETER REDDIEN: Yeah, basically a straight line.
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Might have some variance.
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But that's what you'd expect for any SNP that's
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unlinked to our gene X. We could have
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the same graph for chromosome 3.
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We get the same thing.
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Chromosome 4, we get the same thing.
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