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2. Expected Heterozygosity (He)
formula
He=1−∑pi²1
2. Expected Heterozygosity (He)
pi is
the frequency of the ith allele at the locus.
∑pi²1
sum of the squared allele frequencies.
Steps to Calculate Expected Heterozygosity:
do the steps for A first and then B
Square the frequency of each allele in the population.
Sum the squared frequencies for all alleles.
Subtract the sum of the squared frequencies from 1.
Calculate Fst between populations A and B. Show the steps in your calculations.
formula
Fst=HT−HS/HT
Calculate Fst between populations A and B. Show the steps in your calculations.
HT:
total expected heterozygosity across both populations (the combined population).
Calculate Fst between populations A and B. Show the steps in your calculations.
HSH_SHS:
Average expected heterozygosity within populations (mean of HeH_eHe for each population).
Calculate Fst between populations A and B. Show the steps in your calculations.
steps
average the 2 previous heterozygous values
Combined Allele Frequencies Formula of A and B = Pi
calculate HT
Calculate Fst
Combined Allele Frequencies Formula:
pi(T)= (nA . Pi^(A))+ (nB . Pi^(B))/nA + nB
Combined Allele Frequencies Formula:
pi =
number on chart
pi(T)=
combined frequency of a and b
the two numbers in the chart /2
Calculate Total Expected Heterozygosity (HT)
HT=1−∑(pi(T))^2
square combined allele frequencies (piT)
sum squared frequencies
subtract from 1
Expected heterozygosity (He) quantifies
the probability of observing two different alleles at a given locus within a population.
expected heterozygosity (he)
It reflects
the genetic diversity within a population.
A high He value indicates
a high level of genetic variation within the population,
a low He value suggests lower
genetic diversity.
expected Heterozygosity (He) What it measures
Genetic diversity within populations
expected Heterozygosity (He) focus
Variability within a population
expected Heterozygosity (He)
Application Example |
Assessing genetic diversity in endangered species
Fst measures
Genetic differentiation between populations
Fst focus
Variability partitioned between populations
fst application example
studying population structure and migration