The following MN blood group data were collected from a popu

The following MN blood group data were collected from a population in southern Pennsylvania: Calculate allele frequencies in this population and hardy-Weinberg expected genotypic frequencies. Use the chi-square test to determine whether observed genotypic frequencies deviate significantly from Hardy-Weinberg expected values.

Solution

According to Hardy-Weinberg Law; if alleles are M and N

(M+N)2 = M2 +N2+2MN =1

According the data type M has 76 individuals in population of 200 individuals.

The frequency = number of individuals for particular allele/ total population

Frequency for M = 76/200 = 0.38

Applying same formula for others, and frequency for N = 0.18 and for allele MN = 0.44

In a population the expected population always follow rule of independent assortment. In which, M=N =0.25, and MN = 0.50 frequencies occur.

So in the 200 individuals population expected numbers of individuals for M frequency = 0.25 x 200 = 50

For N = 50 and for MN = 100

Chi square (X2) test = (observed- expected)2 /expected = (O-E)2/ E

alleles

Observed population

Expected population

(O-E)2

X2 values

M

76

50

676

13.52

N

36

50

196

3.92

MN

88

100

144

1.44

Total chi square value

18.88

Therefore, in the results there is not significant deviation for the results. The value 18.88 lies in Chi-Square Distribution table for 0.01 p values which tell there is 1% deviation by chance.      

alleles

Observed population

Expected population

(O-E)2

X2 values

M

76

50

676

13.52

N

36

50

196

3.92

MN

88

100

144

1.44

Total chi square value

18.88

 The following MN blood group data were collected from a population in southern Pennsylvania: Calculate allele frequencies in this population and hardy-Weinberg
 The following MN blood group data were collected from a population in southern Pennsylvania: Calculate allele frequencies in this population and hardy-Weinberg

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