Patterns of Evolution Summary statistics based on segregating sites - - PowerPoint PPT Presentation

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Patterns of Evolution Summary statistics based on segregating sites - - PowerPoint PPT Presentation

Patterns of Evolution Summary statistics based on segregating sites Site Frequency Spectrum 3 2 1 0 1 2 3 4 5 4 3 2 1 1 1 Patterns of Evolution Summary statistics based on segregating sites Site Frequency Spectrum number of


slide-1
SLIDE 1

Patterns of Evolution

Summary statistics based on segregating sites

Site Frequency Spectrum

4 3 1 2 1 1

1 2 3

1 2 3 4 5

slide-2
SLIDE 2

Patterns of Evolution

Summary statistics based on segregating sites

Site Frequency Spectrum

total number of segregating sites in an sample of size n number of mutants that appear in i copies in the sample

:

1 1

 

n i i

S S

1 2 3

1 2 3 4 5

:

i

S

i

S

: ) ( 1

1 1 2           

 

n i i n

S i n i 

average number of pairwise differences

i

slide-3
SLIDE 3

: ) ( 1

1 1 2           

 

n i i n

S i n i 

Patterns of Evolution

Summary statistics based on segregating sites

Site Frequency Spectrum

total number of segregating sites in an sample of size n number of mutants that appear in i copies in the sample

:

1 1

 

n i i

S S

:

i

S

Each mutation of size i contributes to divergence in i (n – i) sequence pairs

1 2 3

1 2 3 4 5

i

S i

slide-4
SLIDE 4

Coalescent Theory

Estimators

Unbiased estimators of the mutation parameter q = 4Nu:

 

   

 

1 1 1 1

1 ˆ

n i n i i n W

i S a S q

singleton estimator:

 

1 1

1 ˆ

  

n s

S S n n q

Watterson‘s estimator:  -based estimator:

i n i n

S i n i ) ( ˆ

1 1 1 2            

    q

singletons of the folded spectrum

i n i n H

S i

          

1 1 2 1 2

ˆ q

Fay and Wu‘s estimator: (equal weights) (intermediate frequencies) (high frequencies) (extreme frequencies)

slide-5
SLIDE 5

Coalescent Theory

Test statistics

Test statistics for the deviation from neutrality:

 

W W T

D q q q q

 

ˆ ˆ Var ˆ ˆ   

Tajima‘s D: Fay and Wu‘s H: Fu and Li‘s D:

 

S W S W FL

D q q q q ˆ ˆ Var ˆ ˆ   

 

H H FW

H q q q q

 

ˆ ˆ Var ˆ ˆ   

0,2 0,4 0,6 0,8 1 1 2 3 4 5 6

T

D

slide-6
SLIDE 6

Coalescent Theory

Test statistics

Test statistics for the deviation from neutrality:

 

W W T

D q q q q

 

ˆ ˆ Var ˆ ˆ   

Tajima‘s D: Fay and Wu‘s H: Fu and Li‘s D:

 

S W S W FL

D q q q q ˆ ˆ Var ˆ ˆ   

 

H H FW

H q q q q

 

ˆ ˆ Var ˆ ˆ   

0,2 0,4 0,6 0,8 1 1 2 3 4 5 6

T

D

slide-7
SLIDE 7

Coalescent Theory

Test statistics

Test statistics for the deviation from neutrality:

 

W W T

D q q q q

 

ˆ ˆ Var ˆ ˆ   

Tajima‘s D: Fay and Wu‘s H: Fu and Li‘s D:

 

S W S W FL

D q q q q ˆ ˆ Var ˆ ˆ   

 

H H FW

H q q q q

 

ˆ ˆ Var ˆ ˆ   

0,2 0,4 0,6 0,8 1 1 2 3 4 5 6

FW

D

slide-8
SLIDE 8

Coalescent Theory

Test statistics

Test statistics for the deviation from neutrality:

 

W W T

D q q q q

 

ˆ ˆ Var ˆ ˆ   

Tajima‘s D: Fay and Wu‘s H: Fu and Li‘s D:

 

S W S W FL

D q q q q ˆ ˆ Var ˆ ˆ   

 

H H FW

H q q q q

 

ˆ ˆ Var ˆ ˆ   

0,2 0,4 0,6 0,8 1 1 2 3 4 5 6

FW

H