Description

Bayes theorem can be used to adjust the risk of being a carrier for a genetic condition if additional modifying information is available.


 

Carrier

Noncarrier

prior probability

(risk)

1 - (risk)

conditional probability

(conditional risk carrier)

(conditional risk noncarrier)

joint risk

(risk) * (conditional risk carrier)

(1 - (risk)) * (conditional risk noncarrier)

 

where:

• The prior probability for being a carrier in many genetic conditions if one parent is a known carrier is 0.5.

• The conditional probability for being a noncarrier is 1 if offspring are normal.

 

posterior probability of being a carrier =

= ((risk) * (conditional risk carrier)) / (((risk) * (conditional risk carrier)) + ((1 - (risk)) * (conditional risk noncarrier)))

 

posterior probability of being a noncarrier =

= ((1 - (risk))* (conditional risk noncarrier)) / (((risk) * (conditional risk carrier)) + ((1 - (risk)) * (conditional risk noncarrier)))

 

For the situation where previous offspring are all normal (conditional risk for noncarrier = 1):

 

posterior probability of being a carrier =

= ((risk) * (conditional risk carrier)) / (((risk) * (conditional risk carrier)) + (1 - (risk))) =

= ((risk) * (conditional risk carrier)) / (((risk) * ((conditional risk carrier) - 1)) + 1)

 

posterior probability of being a noncarrier =

= (1 - (risk)) / (((risk) * (conditional risk carrier)) + (1 - (risk))) =

= 1 - (posterior risk of being a carrier)

 


To read more or access our algorithms and calculators, please log in or register.