Hardy-Weinburg Equilibrium
  Remember Punnett Analysis?
  
  
    |  | hybrid |  | hybrid | 
  
    |  | Aa | X | Aa | 
  
    |  |  | 
  
    |  |  | A | a | 
  
    |  | A | A A | A a | 
  
    |  | a | A a | a a | 
  
    
  
    |  | offspring | 
  
    | genotype | count | phenotype | prob | 
  
    | AA | 1 | type A | 25% | 
  
    | Aa | 2 | hybrid | 50% | 
  
    | aa | 1 | type a | 25% | 
  
  For a population breeding problem,
  we must add probabilities to the Punnett Analysis
  . . -where probability = [relative] frequency
  
  
    |  | population P-1
 | 
  
    |  |  | A p = 0.7
 | a q = 0.3
 | 
  
    |  | A p = 0.7
 | A A 0.7*0.7 = 0.49
 | A a 0.7*0.3 = 0.21
 | 
  
    |  | a q = 0.3
 | A a 0.3*0.7 = 0.21
 | a a 0.3*0.3 = 0.09
 | 
  
    
  
    |  | offspring F-1
 | 
  
    | genotype | count | phenotype | prob | 
  
    | AA | 0.49 | type A | p2 = 0.49 | 
  
    | Aa | 2*0.21 | hybrid | 2pq = 0.42 | 
  
    | aa | 0.09 | type a | q2 = 0.09 | 
  
  or.. with dominance
  
    
  
    |  | offspring F-1
 | 
  
    | genotype | count | phenotype | prob | 
  
    | AA | 0.91 | dominant | p2+2pq = 0.91 | 
  
    | Aa | 
  
    | aa | 0.09 | recessive | q2 = 0.09 | 
  
  and.. the F-1 gene pool is:
  
    |  |  | alleles | 
  
    | genotype | number | A | a | 
  
    | AA | 49 | 98 | 0 | 
  
    | Aa | 42 | 42 | 42 | 
  
    | aa | 9 | 0 | 18 | 
  
    | subtotal | - | 140 | 60 | 
  
    | total | 100 | 200 | 
  
    | p |  | 0.70 |  | 
  
    | q |  |  | 0.30 | 
  
  
which is exactly the gene pool with which we 
    started..
  
QED (quod erat demonstratum):
  The allele frequencies remain constant from generation
    to generation!
  . . and the F-n generation is:
 
  . . . . . {AA, Aa, aa} = {p2, 
    2pq, q2},
  . . . . . where p = probability of
    allele 'A,'
  . . . . . and q = (1 - p) = 
    probability of allele 'a.'
  assuming, "of course"...
  . .  1) mating is random,
  . .  2) there is no selection,
  . .  3) there is no mutation,
  . .  4) there is no immigration nor 
    emmigration, and
  . .  5) the population is arbitrarily large 
    (infinite)
  However, in the Real World, these five assumptions 
    are not met;
  
  . .. so the task becomes estimating which
    of the five
  . . . has the most influence on the 
    observed results.
  Normally, we would use Chi-square to determine whether 
    or not the Hardy-Weinburg predicts the observed results, where significant 
    Chi-square means that at least one assumption is not met.
    Other statistical tests may provide a means to identify the critical 
    assumptions.
  
  RETURN TO OUTLINE
  
© 2004 Prof. LaFrance, Ancilla College