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For each populations, calculate the expected genotype frequencies to determine which of these populations is NOT...

For each populations, calculate the expected genotype frequencies to determine which of these populations is NOT in Hardy-Weinberg equilibrium.

1 AA, 18 Aa, 81 aa

20 AA, 20 Aa, 5 aa

25 AA, 10 Aa, 1 aa

50 AA, 20 Aa, 30 aa

Calculate the Chi-square statistic (rounded to 2 significant figures) to show that your answer choice in the previous question is not in Hardy-Weinberg equilibrium.

3.5   

26

34

4.9

Solutions

Expert Solution

The answers are

For each populations, calculate the expected genotype frequencies to determine which of these populations is NOT in Hardy-Weinberg equilibrium.

The answer is 50 AA, 20 Aa, 30 aa

Calculate the Chi-square statistic (rounded to 2 significant figures) to show that your answer choice in the previous question is not in Hardy-Weinberg equilibrium.

The answer is 34

Find the below explanation

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For 1 AA, 18 Aa, 81 aa

The steps involved here

Step 1: Calculation number of alleles

Genotype

Freequency

Allele A

Allele a

Total

AA

1

2

0

2

Aa

18

18

18

36

aa

81

0

162

162

Total

100

20

180

200

Step 2: Calculation of allele frequencies

Frequency = No of a alleles/Total no of alleles

Allele A (Dominant allele)

= 20/200

= 0.1

Allele a (Recessive allele)

= 180/200

= 0.9

Step 3: Expected genotype frequencies estimation

Genotype

Genotype frequencies

For 1000 population the freqeunecies

AA

= 0. 1*0.1= 0.010

*100

=1

Aa

= 2*0.1*0.9= 0.180

*100

=18

aa

= 0.9*0.9= 0.810

*100

=81

As the same value of expected and observed indicates that the population is in HW equilibrium.

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For 20 AA, 20 Aa, 5 aa:

The steps involved here

Step 1: Calculation number of alleles

Genotype

Freequency

Allele A

Allele a

Total

AA

20

40

0

40

Aa

20

20

20

40

aa

5

0

10

10

Total

45

60

30

90

Step 2: Calculation of allele frequencies

Frequency = No of a alleles/Total no of alleles

Allele A (Dominant allele)

= 60/90

= 0.67

Allele a (Recessive allele)

= 30/90

= 0.33

Step 3: Expected genotype frequencies estimation

Genotype

Genotype frequencies

For 1000 population the freqeunecies

AA

= 0.67*0.67= 0.444

*45

=20

Aa

= 2*0.67*0.33= 0.444

*45

=50

aa

= 0.33*0.33= 0.111

*45

=5

As the same value of expected and observed indicates that the population is in HW equilibrium.

.

.

.

.

.

.

.

.

.

For 25 AA, 10 Aa, 1 aa:

The steps involved here

Step 1: Calculation number of alleles

Genotype

Freequency

Allele A

Allele a

Total

AA

25

50

0

50

Aa

10

10

10

20

aa

1

0

2

2

Total

36

60

12

72

Step 2: Calculation of allele frequencies

Frequency = No of a alleles/Total no of alleles

Allele A (Dominant allele)

= 60/72

= 0.83

Allele a (Recessive allele)

= 12/72

= 0.17

Step 3: Expected genotype frequencies estimation

Genotype

Genotype frequencies

For 1000 population the freqeunecies

AA

= 0.83*0.83= 0.444

*36

=25

Aa

= 2*0.83*0.17= 0.444

*36

=10

aa

= 0.17*0.17= 0.111

*36

=1

As the same value of expected and observed indicates that the population is in HW equilibrium.

.

.

.

.

.

.

.

.

.

For 50 AA, 20 Aa, 30 aa:

The steps involved here

Step 1: Calculation number of alleles

Genotype

Freequency

Allele A

Allele a

Total

AA

50

100

0

100

Aa

20

20

20

40

aa

30

0

60

60

Total

100

120

80

200

Step 2: Calculation of allele frequencies

Frequency = No of a alleles/Total no of alleles

Allele A (Dominant allele)

= 120/200

= 0.60

Allele a (Recessive allele)

= 80/200

= 0.40

Step 3: Expected genotype frequencies estimation

Genotype

Genotype frequencies

For 1000 population the freqeunecies

AA

= 0.60*0.60= 0.360

*100

=36

Aa

= 2*0.60*0.40= 0.480

*100

=48

aa

= 0.40*0.40= 0.160

*100

=16

                               

Step 4: Chi-square test

Null hypothesis: The observed values are not deviating from the expected values.

Category

AA

Aa

aa

Observed values

50

20

30

Exprected Values

36

48

16

Deviation

14

-28

14

D^2

196

784

196

D^2/E

5.44

16.33

12.25

34.03

X^2

34.03

Degrees of freedom

1

Inference: The calculated chisquare value i.e. 34.03 is greater than the table value i.e.3.84 at 1 DF and 0.05 probability, hence the null hypothesis is rejected, which means the population is not in HW equilibrium.


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