A combinatorial approach using ML multinomial model and Monte Carlo randomization has been assistive in identifying SNP markers such as cerebellum 4 precursors (CBLN4), potassium channel KCNH5, adenylate cyclase 8 (ADCY8), GAB2, LINC00290, ACO1, HLA-G, SIX1, HS6ST1, GALNT10, ONECUT1, HLA-DRB6, and autism susceptibility candidate gene AUTS2 for neurogenerative disorders including MG [97]. Here, SIX1 is linked to autism.