Ben Sima — Genetically-Derived Diet Framework

Based on 23andMe v4 genome analysis, March 2026

Evidence confidence tiers

Each recommendation below is tagged with an evidence confidence level:

Tier 1: Strong genetic constraints (modify diet around these)

1. Low saturated fat, emphasize omega-3 (APOC3 double-homozygous risk)

Confidence: 🟡 MEDIUM

Mechanism (HIGH confidence): APOC3 promoter variants → elevated apoC-III → inhibited lipoprotein lipase. This is well-established molecular biology.

Diet interaction (MEDIUM): The Framingham Offspring Study showed APOC3 risk carriers have amplified trig response to saturated fat. This is real cohort data with a plausible mechanism, but it’s not an RCT. The fish oil recommendation is supported by separate RCT evidence for EPA + trig lowering (REDUCE-IT trial), though that trial wasn’t stratified by APOC3 genotype.

Rules:

2. Eat earlier in the day (MTNR1B heterozygous risk)

Confidence: 🟡 MEDIUM (timing) / 🟠 LOW-MEDIUM (low-fat composition)

Timing mechanism (HIGH): Melatonin suppresses insulin secretion via MT1B receptor on beta cells. G allele → receptor overexpression. This is well-established cell biology.

Timing clinical evidence (MEDIUM): One RCT (Garaulet et al. 2022, Diabetes Care) showed G carriers have worse glucose tolerance eating late vs. early. Real trial, but single study, modest N.

Low-fat diet composition (LOW-MEDIUM): From a subgroup reanalysis of the POUNDS Lost trial. Subgroup analyses of diet trials are exactly the kind of finding that often fails to replicate. This is the weakest claim in the document. Treat as speculative.

Rules:

3. Dairy-free or dairy-minimal (LCT GG — lactose non-persistent)

Confidence: 🟢 HIGH

This is a single enzyme gene. GG = you don’t produce lactase as an adult. Binary, replicated thousands of times across populations. Not debatable as genetics. The magnitude of symptoms varies person-to-person, but the enzyme absence is certain.

Rules:

Tier 2: Moderate genetic nudges

4. Anti-inflammatory emphasis (SH2B3 TT homozygous + AAT carrier)

Confidence: 🟡 MEDIUM (AAT carrier risk) / 🟠 LOW-MEDIUM (specific diet rules)

AAT PiMZ biology* (HIGH): Z protein polymerization in hepatocytes and ER stress is well-established molecular biology.

AAT + NAFLD interaction (MEDIUM): Several cohort studies show Pi*MZ carriers have 2-3x increased fibrosis risk when a second liver insult is present. Not an RCT, but consistent across studies.

SH2B3 inflammation (MEDIUM): GWAS-validated inflammatory variant. The specific diet recommendations (polyphenols, omega-3:6 ratio) are extrapolated from general anti-inflammatory diet literature, not SH2B3-specific studies.

Specific food rules (LOW-MEDIUM): “Eat anti-inflammatory foods” is reasonable but the specific items (berries, turmeric, etc.) have individually weak clinical evidence. The overall pattern is more important than any single food.

Rules:

5. Preformed omega-3 only (FADS1 heterozygous)

Confidence: 🟡 MEDIUM

Mechanism (HIGH): FADS1 encodes delta-5 desaturase. Heterozygous = intermediate ALA→EPA conversion. Well-characterized enzyme.

Practical magnitude (MEDIUM): How much this matters day-to-day is debatable. You’d still convert some plant omega-3. But given you already need fish oil for APOC3, this is a free stacking recommendation — no behavioral cost.

Rules:

6. Supplement vitamin D (VDR/GC variants)

Confidence: 🟡 MEDIUM

Genetics (MEDIUM): VDR and GC variants associated with lower 25(OH)D in GWAS. Effect sizes are modest.

Recommendation strength: Vitamin D supplementation for someone who is dairy-free, does OMAD, and has these variants is reasonable regardless of genetic confidence. The blood test (25(OH)D) will confirm whether you actually need it.

Rules:

7. Methylated B vitamins (TCN2 + MTRR + MTHFR A1298C het stack)

Confidence: 🟠 LOW-MEDIUM

Individual SNP biology (MEDIUM each): Each variant has a known effect on B12 transport or recycling. Well-studied individually.

Stacking inference (LOW-MEDIUM): The claim that these three heterozygous variants together create a “functional B12 underperformer” is my inference, not something a study showed for this specific combination. Each has a modest effect; whether they compound meaningfully is uncertain.

Validation available: MMA and homocysteine blood tests will answer this definitively. Don’t trust the genetics alone — test it.

Rules:

Tier 3: Genetic-diet synergies with your existing protocols

8. Your existing protocols are genetically well-matched

Confidence: 🟠 LOW-MEDIUM (as a synthesis)

This section stacks multiple individual findings into a narrative. Each bullet is only as strong as its underlying evidence. The overall direction is probably right, but the precision is overstated.

Simple carb refeeds (fruit, honey, rice):

Extended fasting:

Zone 2 exercise on refeed days:

9. The ideal day (synthesis)

Confidence: 🟠 LOW-MEDIUM overall — this is an optimized guess, not a prescription

Fasting day: Water, electrolytes, green tea. Exercise optional (liver fat oxidation is the goal).

Eating day:

What NOT to eat (genetic contraindications)

Food Reason Confidence
Liquid milk, soft cheese, ice cream LCT GG 🟢 HIGH
Butter, coconut oil, fatty red meat APOC3 (amplifies trig response) 🟡 MEDIUM
Flaxseed/chia as omega-3 source FADS1 (can’t convert efficiently) 🟡 MEDIUM
Late-night meals (after 7pm) MTNR1B (impaired insulin secretion) 🟡 MEDIUM
Alcohol AAT carrier + ADH1B fast metabolizer 🟢 HIGH
Seed oils (soybean, corn, sunflower) SH2B3 (pro-inflammatory omega-6) 🟠 LOW-MEDIUM

Genetic non-issues (things you DON’T need to worry about)

Confidence: 🟢 HIGH (absence of risk alleles is straightforward)