200+ Genetic Variants We Analyze — and Why They Matter

When you upload a 23andMe or AncestryDNA raw data file to LongevityGraph, we don’t just look at a handful of popular SNPs. We analyze 200+ longevity-relevant genetic variants across 15 categories. Here’s why each category matters for health optimization.

The Big Three: MTHFR, APOE, and COMT

MTHFR (Methylation)

MTHFR C677T and A1298C are the most discussed variants in the longevity community — for good reason. If you’re homozygous for C677T (about 10-15% of the population), your ability to convert folic acid to its active form (methylfolate) is reduced by up to 70%.

What LongevityGraph does: Flags folic acid in your supplement stack and recommends switching to methylfolate (5-MTHF). Adjusts B-vitamin form recommendations across your entire protocol.

APOE (Cardiovascular / Neurological)

APOE e4 carriers have elevated risk for Alzheimer’s and cardiovascular disease. About 25% of people carry one e4 allele; 2-3% carry two.

What LongevityGraph does: Adjusts cardiovascular and neurological disease risk scores. Recommends more aggressive LDL and ApoB monitoring. Flags saturated fat sensitivity in dietary context.

COMT (Neurotransmitter)

COMT Val158Met affects dopamine and catecholamine metabolism. The Met/Met genotype (slow COMT) is associated with higher dopamine levels but also higher stress sensitivity.

What LongevityGraph does: Adjusts supplement recommendations — slow COMT individuals may not tolerate high-dose methylation support as well. Guides caffeine and stimulant recommendations.

Beyond the Big Three

Our 200+-variant panel covers:

• Methylation (MTHFR, MTR, MTRR, BHMT) — B-vitamin form optimization
• Cardiovascular (APOE, Lp(a), LPA, FUT2) — Lipid management strategy
• Metabolism (FTO, MC4R, PPARG) — Metabolic rate and insulin sensitivity
• Detoxification (CYP1A2, NAT2, GSTT1, GSTM1) — Drug and caffeine metabolism
• Inflammation (IL-6, TNF-alpha, CRP variants) — Baseline inflammation risk
• Vitamin D (VDR, GC, CYP2R1) — Vitamin D absorption and conversion
• Oxidative Stress (SOD2, CAT, GPX1) — Antioxidant capacity
• Iron (HFE, TFR2) — Iron absorption and hemochromatosis risk
• Peptide Pharmacogenomics (IGF1, IGFBP3, GHRHR, OPRM1) — Growth hormone and peptide response

How Genetics Connect to Everything Else

The power of genetic data in LongevityGraph isn’t the genetic analysis alone — it’s how genetics connect to your other data:

• Supplement safety: Your genetics modify interaction severity. A CYP2D6 poor metabolizer on an SSRI has different supplement interaction risks than a normal metabolizer.
• Bio age scoring: Genetic risk factors modify disease risk horseman scores. APOE4 raises the neuro horseman contribution to your composite bio age.
• Stack optimizer: Genetic gaps generate ADD recommendations. If you have VDR variants suggesting poor vitamin D conversion, the optimizer recommends higher-dose D3 or calcifediol.
• AI chat context: Every conversation with the AI includes your genetic summary. When you ask “should I take NMN?”, the AI knows your MTHFR status, your NAD+ metabolism variants, and your metabolic genotype.

Upload your genetic data and see how your variants connect to your protocol: Get Started Free.