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MICHAEL HEMANN: So with these markers,
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these dinucleotide repeat markers, maybe there
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are around 1,000 informative markers in the genome.
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And so our genome is haploid, about 3 billion bases.
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And if you divide this by 1,000, then it
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means that they're spaced about 3 million bases apart.
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So 3 million base spacing between markers.
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And so this is pretty informative.
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It puts us in the neighborhood if we're
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looking to map a particular gene to a particular location,
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but not really--
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it gives us the block, but not the house number.
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And so we need to find a way to do finer mapping.
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And the way that we do that is by looking at single nucleotide
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polymorphisms, or SNPs.
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And we'll talk a lot more about this later in the class
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when we're talking about genome-wide association
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studies.
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But SNPs, as the name suggests, are just single nucleotide
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polymorphisms.
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They are distinctions.
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You have the same base in some place in the genome.
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One allele is an A and the other is a T. So just a single base
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difference between alleles.
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And again, they can have different frequencies.
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Sometimes having a T is very, very rare.
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And so we call something a SNP if it's
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present in greater than 1% of the population.
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So it must be present in, say, at least 1% of the population.
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But there are tons of these.
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So there are estimated maybe 10 million SNPs in the genome.
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And so given a 3 billion base genome,
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they're spaced around maybe 330 base pairs apart.
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Now, this is an average.
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Some are very close to one another,
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some are actually quite far away from each other.
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And there are spaces that are highly
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repetitive in the genome where it's difficult to look at SNPs.
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There are some places that are highly conserved within genes,
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for example, where that frequency is quite low.
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But again, we can have a really high resolution
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map of the genome.
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So our chromosomes are essentially
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covered in these SNPs.
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And so this allows us to do linkage studies
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and really map genes to very, very, very, very
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specific locations if we have enough people
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and if we have enough informative SNPs.
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