Unlike standard text-matching, Antigravity uses a high-performance Python parser to traverse the 17MB raw data file. We identify **rsID** markers with exact coordinate verification (Build 37.1) and perform direct genotype extraction.
Every SNP analyzed is cross-referenced against the **GWAS Catalog** and **SNPedia**. We prioritize markers with replicated significance and large effect sizes (Odds Ratios > 1.2 or clear functional impacts).
While reports display individual SNPs, Antigravity's engine considers **haplotype structures** (e.g., APOE ε-variants) and **compound heterozygosity** to ensure clinical accuracy.
| Category | Key Markers Analyzed | Clinical Significance |
|---|---|---|
| Cardiovascular | rs1333049, rs10757274 | 9p21 locus (The "Heart Attack" interval) |
| Metabolic | rs7903146, rs9939609 | Longitudinal T2D and BMI weightings |
| Cognitive | rs4680, rs429358 | Dopamine metabolism and Alzheimer's risk |
| Dietary | rs4988235, rs1801133 | Lactose persistence and Folate methylation |
Antigravity operates on a local, non-persistent memory state. Genetic data is parsed, analyzed, and the resulting report is generated without external data transmission, ensuring maximum privacy for the user's biological code.