Allele
Allele Frequencies in a Population of Children
Population Size: 500 children
Total alleles = 500 children * 2 alleles/child = 1000 alleles
Genotype Counts:
Homozygous AA (a): 39
Calculation of a alleles: 39 homozygous children * 2 = 78 a alleles
Heterozygotes (Aa): 279
Calculation of a alleles in heterozygotes: 279 heterozygotes * 1 (a allele from each)= 279 a alleles
Combination of alleles:
Total a alleles = 78 (homozygous) + 279 (heterozygotes) = 357 a alleles
Frequency of a allele:
Frequency of a in the population = Total a alleles / Total alleles
[ \text{Frequency of } a = \frac{357}{1000} = 0.357 \text{ or 35.7%} ]
Frequency of S allele:
Given that total frequencies must equal 1:
Frequency of S allele = 1 - Frequency of a
[ \text{Frequency of } s = 1 - 0.357 = 0.643 \text{ or 64.3%} ]
Verifying Frequencies:
Total of alleles should add to 1:
[ 0.357 + 0.643 = 1 ]
Calculating Expected Genotype Frequencies
Assuming a non-evolving population: Expected genotype frequencies can be calculated based on allele frequencies.
Homozygous AA (a) frequency = p²
Expected AA genotype frequency: [ p^2 = (0.357)^2 ]
Expected number of AA = Expected frequency * Total individuals = p² * 500
Heterozygotes (Aa) Frequency:
Expected Aa frequency = 2pq
Where:
p = frequency of a (0.357)
q = frequency of s (0.643)
[ E(Aa) = 2 * 0.357 * 0.643] = Expected number of heterozygotes * Total individuals
Homozygous SS (s) Frequency:
Expected SS phenotype = q²
[ q^2 = (0.643)^2 ]
Expected number of SS = q² * Total individuals
Chi-Square Test for Goodness of Fit
Purpose: To compare observed genotypes with expected genotypes.
Formula:[ \chi^2 = \sum \frac{(O - E)^2}{E} ]Where:
O = observed value
E = expected value
Calculated Observed Values from Population:
Observed AA = 39
Observed Aa = 279
Observed SS = 82
Calculate Expected Values:
Expected AA, Aa, SS calculated above need to be used in chi-square formula.
Expected Counts Examples:
Expected AA count = p²*500
Expected Aa count = 2pq*500
Expected SS count = q²*500
After computing all expected counts and observed counts, compute chi-square to validate genetic model applicability to real populations.