Recent exome sequencing analyses have shown that schizophrenia and bipolar I disorder, collectively affecting 2% of the population, may extend from a common genetic origin of the AKAP11 gene.  Though several studies have been put forth to examine the relationship between the pathogenesis of these mental illnesses and AKAP11 variants, a model has yet to be created that tests this hypothesis by accounting for real–world diagnosis frequencies in addition to a genetic framework.  Analogously, no genetic study has been put forth to identify specific vulnerable groups in the development of either schizophrenia or bipolar disorder.  To provide additional insight into the pathogenesis of these diseases, we perform ordinal logistic regression on every AKAP11 variant in the SCHEMA and BipEx data sets.  Primarily using the CADD genome annotation, we establish the probability that each variant is deleterious.  We use a chi–square goodness of fit test to demonstrate that the amino acids coded for by high–risk variants are similar between schizophrenia and bipolar disorder, suggesting a common underlying genetic origin.  Additionally, a sequence of one–sided t tests is run to compare the age and sex frequencies of these high­–risk variants to the frequencies of schizophrenia and bipolar I diagnoses among the Canadian population.  In total, we find that AKAP11 exhibits a strong correlation with bipolar I disorder and a moderate correlation with schizophrenia.  We also find that males under 30 and females between 50 and 55 are most vulnerable to schizophrenia and bipolar I, respectively.