In: Biology
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
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.
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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.
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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.