Name: 19.量的形質座（QTL）の発見 (19. Discovering Quantitative Trait Loci (QTLs))
Uploaded: 2021-01-14T05:35:27.000Z
Duration: 1 h 22 min 13 s
Description: VoiceTubeの動画で発音を聞きながら英語表現を覚えよう！学べる英語：

基礎受動態

Your support will help MIT OpenCourseWare continue

to offer high quality educational resources for free.

To make a donation or view additional materials

from hundreds of MIT courses, visit MIT OpenCourseWare

we talked about chromatin structure and chromatin

And now we're going to move on to genetic analysis.

But before we did that, I want us to touch on two points

Who was it that brought up-- who was the 5C expert here?

But as you recall, we talked about ChIA-PET

as one way of analyzing any to any interactions in the way

that the genome folds up and enhancers talk to promoters.

step, followed by a proximity ligation step,

which gives you molecules that had been brought together

by an enhancer, promoter complex, or any other kind

And then, what happens is that you design specific timers

is known as ligation mediated amplification.

So those primers are only going to ligate

if they're brought together at a particular junction, which

is defined by the restriction sites lining up.

So, 5C is a method of looking at which regions of the genome

interact and can produce these sorts of results,

The key difference, I think, between chIA-PET and 5C

is that you actually have to have these primers designed

and pick the particular locations you want to query.

So the primers that you design represent query locations

and you can then either apply the results to a microarray,

or to high throughput sequencing to detect these interactions.

to form molecules that contain components

that have been brought together for some functional reason.

And you recall that I talked about the idea

So you could have methyl groups on the cytosines in such a way

that, because they could mirror one another,

they could be transferred from one strand of DNA

to the other strand of DNA, during cell replication

So it forms a more stable kind of mark and as you recall,

in lowly expressed genes and typically in regions

Now we're going to embark upon an adventure,

looking for the answer to, wear is missing heritability found?

So it's a big open question now in genetics.

In human genetics, which is that we really

And as a point of introduction, the narrative

arc for today's lecture is that, generally speaking,

you're more like your relatives than random people

Well obviously you contain components of your mom

And they are providing you with components of your traits.

defined by the fraction of phenotypic variance

And we're going to talk today about computational models that

for understanding the sources of various traits and phenotypes.

As well as fields such as pharmacogenomics

that try and predict the best therapy for a disease

are called quantitative trait locis, or QTLs.

So we're going to talked about how to discover them

and how to build models of quantitative traits using QTLs.

字幕リスト動画再生

19.量的形質座（QTL）の発見 (19. Discovering Quantitative Trait Loci (QTLs))

sense

trait

audience

effect