Genetic Risk Calculation

Cards (7)

  • The importance of genetic pedigrees
    • patterns of inheritance can be more easily visualised in a pedigree
    • related symptoms among family members may refine the diagnosis
    • calculate risk in other family members and future pregnancies
    • helps to inform testing, surveillance, management and treatment in other family members
    • provides a record which can be updated with new information
  • Punnet squares
    • used to predict the genotype of a couple's offspring
    • normal allele = A (dominant)
    • mutant allele = a (recessive)
    • unaffective individual = AA
    • Carrier individual = Aa
    • Affected individual = aa
  • Calculating risk to unborn children in autosomal recessive disease
    • risk to child = mother carrier risk x father carrier risk x 1/4
  • Carrier risk of an autosomal recessive condition if there is no family history
    • at population risk of being a carrier
    • different populations = different risk
    • in genetic counselling we sometimes need to know the actual number - can change risk of unborn child being affected
    • difficult to count carriers in a population as unaffected however Hardy Weinberg equation can be used to calculate carrier frequency if incidence is known
  • Hardy Weinberg
    • p + q = 1
    • p^2 + 2pq + q^2 = 1
    • p = normal allele, q = mutant allele
    • p^2 = homozygous normal frequency
    • q^2 = homozygous mutant frequency
    • 2pq = heterozygous frequency
    • sometimes carrier risk from a pedigree can be reduced further if additional information is available
    • genetic test results
    • number of unaffected/affected offspring
    • biochemical test
    • involves a calculation which modifies the initial probability of a person being a carrier by incorporating additional information
    • A simple test (CFTR-OLA) is available that can test for 90% of CFTR mutations in the Northern European population
    • 31 CFTR mutations tested for
    • test reduces CF carrier risk from 1 in 25 (population risk) to 1 in 241