Fig. 1

Discrete discriminant analysis algorithm. Empirical characteristics (allele frequency and correlation) of case (y=1) and control (y=0) data are used to fit their genotype distributions with parameters \(h_{i}^{(y)}\) and \(J_{ij}^{(y)}\), each roughly determining the position and width of the distribution. Disease risk parameters are given by their differences, whereas the likelihood ratio (LR) statistic q is obtained from the difference between the sum of two contributions and the corresponding pooled value