Using these independent variables for each variant of AKAP11 in SCHEMA and BipEx, we take the frequencies of the amino acids coded for by each of the variants with the highest 10% probabilities of being placed in j = 4 (i.e., most likely to cause diagnosis of SCZ and BPD).  If there were no correlation with AKAP11 , we would assume a null hypothesis wherein there is no difference between the amino acid distribution of the highest risk AKAP11 variants and the natural distribution of amino acids in humans, demonstrating the inability of the gene to be damaging to non–random amino acids.  A chi–square goodness of fit test (χ2) is used to determine if there is any statistical deviation from the amino acid frequencies observed against natural amino acid frequencies, given that the data adhere to the standard assumptions of χ2.  Particularly, variables are ordinal, mutually exclusive, and absolute \citep{McHugh2013}.