Module 2 Flashcards

1
Q

Ways to estimate mutation rate

A

Disease incidence, molecular clock, de novo mutations in pedigrees, and mutation accumulation experiments

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2
Q

How to solve for disease incidence (Ө)?

A

Ө = 4 Ne μ (for neutral mutations)

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3
Q

How to solve for neutral mutation rate?

A

μ

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4
Q

Drift-Barrier Hypothesis

A

Selection acts to reduce mutation rates. The majority of mutations is fitness-reducing variation rather than neutral or beneficial. Selection acts on the genome-wide mutation rate

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5
Q

What are types of estimators?

A

Population, pedigree, and gametes

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6
Q

What drives recombination rate variation?

A

Need one recombination event per chromosome.
Recombination rates are clearly ‘selectable’.

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7
Q

What are the four principles of coalescence?

A

The rate of coalescence is inversely proportional to Ne.
Neutral mutations do not change tree shape.
A tree always exists, mutations help you see it.
The shape of the tree dictates deserved variation.

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8
Q

What is the purpose of Tajima’s D?

A

To summarize an SFS when looking at a genetic tree.

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9
Q

What is Tajima’s D for neutral, growing size?

A

D < 0

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10
Q

What is Tajima’s D for a neutral population structure?

A

D > 0

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11
Q

What is Tajima’s D for a neutral constant size?

A

D = 0

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12
Q

In humans, DFE inference strategies are…

A

Ignore demography, estimate selection
Take a 2-step approach: Estimate demography in neutral, then fix that to estimate selection. Estimate DFE with fixed demography exonic DFE of fixed mutations
Simultaneously estimate demography and DFE (joint estimation)
Treat DFE as a nuisance parameter, and integrate across all possibilities.

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