2. The M-N blood locus was examined in a sample of 900 Australian Aborigines. Th
ID: 256704 • Letter: 2
Question
2. The M-N blood locus was examined in a sample of 900 Australian Aborigines. There were 30 individuals with blood type MM, 230 with type MN, and 640 with type NN. (1 point) A. Calculate the frequencies of the M and N alleles in this population. B. Calculate the expected genotype frequencies and the expected number of individuals of each genotype under the assumptions that the population is in Hardy-Weinberg equilibrium. (2 points) C. Compare the observed and expected number of individuals of each genotype by calculating the chi- squared statistic for each genotype. [Note: a chi-squared value greater than 3.84 constitutes statistical evidence that the population is not in Hardy-Weinberg equilibrium; that is, when the chi-squared statistic is greater than 3.84, the disagreement between observed and expected genotype frequencies is so great that we must reject the hypothesis that the population is in Hardy-Weinberg equilibrium.) Does the chi-squared statistic provide any evidence that this population is not in Hardy-Weinberg equilibrium for the MN blood locus? (2 points)Explanation / Answer
Answer:
A).
30 MM= 60 M alleles
230 MN = 230 M & 230 N alleles
640 NN = 1280 N alleles
Total alleles =1800
Total M alleles = 60+230 = 290
Frequency of allele, M = 290/1800 = 0.16
Total N alleles = 230 + 1280 = 1510
Frequency of allele, N = 1510/1800 = 0.84
B).
Genotype, NN frequency = 0.84 * 0.84 = 0.7056
Expected NN individuals = 0.7056 * 900 = 635
Genotype, MM frequency = 0.16 * 0.16 = 0.0256
Expected MM individuals = 0.0256 * 900 = 23
Genotype, MN frequency = 2 * 0.84 * 0.16 = 0.2688
Expected MN individuals = 0.2688 * 900 = 242
C).
Phenotype
Observed(O)
Expected (E)
O-E
(O-E)2
(O-E)2/E
MM
30
23
7
49.00
2.13
NN
640
635
5
25.00
0.04
MN
230
242
-12
144.00
0.60
900
900
2.76
Chi-square value = 2.76
Phenotype
Observed(O)
Expected (E)
O-E
(O-E)2
(O-E)2/E
MM
30
23
7
49.00
2.13
NN
640
635
5
25.00
0.04
MN
230
242
-12
144.00
0.60
900
900
2.76
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