Earlier quoted context omitted.
Of course, they're just calling SNPs and using published GWAS studies to estimate disease risk. You can get your "raw genome" text file from 23andMe and convert to e.g. VCF format for use in a bioinformatics tool like the variant effect predictor. Besides, really the most interesting health-related alleles are the simplest: ApoE, BRCA1 — no complicated algo is needed to interpret those associations.
Is there an easy way (or introductory guide) for someone not familiar with bioinformatics tools?
https://github.com/heuermh/personal-genome-client
Let me know if you would like any help with the analysis.