Skip to content

Gene health

Not a medical test — for research and educational use only

Yeliztli analyses consumer genotyping-array data (23andMe / AncestryDNA), which is not a clinical-grade test. Results are not diagnostic, are not clinically validated, and must not be used to make medical decisions. Array data is especially unreliable for rare, disease-causing variants. Always confirm any finding with an accredited clinical laboratory and discuss it with a qualified clinician or genetic counsellor before acting on it. See the Intended use & disclaimers page for the details and the evidence behind this warning.

Gene health gives a categorical read on common multifactorial conditions, grouped by body system. These are common GWAS-style associations — small nudges to risk, not yes/no answers.

What it looks at

About 40 SNPs across four pathways:

  • Neurological — Alzheimer's, Parkinson's, multiple sclerosis, ADHD, migraine (ABCA7, CLU, SNCA, HLA-DRB1, and others)
  • Metabolic — type-2 diabetes, obesity, gout, fatty liver (TCF7L2, FTO, MC4R, ABCG2, …)
  • Autoimmune — rheumatoid arthritis, type-1 diabetes, IBD, celiac, lupus (PTPN22, STAT4, HLA-DQB1, …)
  • Sensory — age-related macular degeneration, glaucoma, and hereditary or age-related hearing loss (CFH, ARMS2, MYOC, GJB2, SLC26A4, …)

What you'll see

A level for each pathway — Elevated, Moderate, or Standard — plus the individual SNP calls behind it. Where a SNP overlaps another module (APOE, Allergy, Methylation, Nutrigenomics, Traits), you'll see a cross-reference.

Good to know

  • The strongest single risk factors are deliberately not here. APOE ε4 and the LRRK2 Parkinson's variant are excluded and only available through their opt-in gated modules.
  • Weak (1-star) associations can't push a pathway to Elevated.
  • Some palindromic SNPs (A/T or C/G) can't be strand-resolved from array data and are marked Indeterminate and left out of the pathway level, rather than guessed.