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BRS2(SM-SNP1) - SNP-Sensitive Methylation Efficiency
1. Definition
Variant-sensitive interpretation layer describing how MTHFR, COMT cross-talk, and BDNF Val66Met may alter methylation efficiency, methyl-donor responsiveness, and downstream neurochemical tone — without redefining core BRS2 methylation mechanisms (BRS2-FM1-PM1, BRS2-FM1-PM3). Therapeutic-area framing belongs on the BRS2 hub; this page does not assert biomarkers, diagnoses, or treatment efficacy.
2. Target Functional Outcome / Phenome
These mappings are translational relationships, not single-mechanism outcome claims. Phenomes are emergent functional patterns supported by multiple interacting PMs across the BRAIN Framework.
No direct functional outcome relationship currently mapped.
3. Intervention Breakdown
Food-State Leaning
4. Functional Role
↑ methylation-efficiency support; ↑ cofactor sufficiency awareness; ↑ downstream neurochemical resilience support
5. Mechanistic Basis
Summary
Variant-sensitive efficiency can shift donor and cofactor responsiveness under the same remethylation and SAMe biology (BRS2(KC1), BRS2-FM1-PM1, BRS2-FM1-PM3, BRS2(FM1)). Outcomes vary by genotype and diet pattern; BRS2(SM-SNP1) explains why that variability matters without deterministic SNP outcome claims.
Variant-sensitive pathways
- MTHFR — folate, B2, and B12 sufficiency weigh more when folate-pathway efficiency is reduced [1]
- COMT — catecholamine clearance may interact with methylation-adjacent meal patterns; see BRS1(SM-SNP1) for BRS1 clearance framing [2]
- BDNF Val66Met — methionine–homocysteine and plasticity relevance downstream [2]
- Omega-3 / polyphenols — membrane and resilience support alongside one-carbon inputs [3]
6. Underlying Mechanisms and Requirements
6.1 Cofactors and Supporting Inputs
- B2, folate, B12, omega-3
6.2 KCs (Key Constraints)
6.3 Connected Primary Mechanisms (PMs)
6.4 Connected Functional Mechanisms (FMs)
6.5 Connected Mechanisms
- BRS1 — COMT / catecholamine clearance cross-talk (BRS1(SM-SNP1))
- BRS3 — inflammatory and redox context for omega-3 and polyphenol co-support alongside one-carbon inputs
7. Dietary Levers
Diet
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B12 ← dairy, seafood, liver
-
B2 ← eggs, dairy, leafy greens
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Betaine ← beetroot, spinach
-
Choline ← eggs, liver
-
Folate ← leafy greens, legumes, liver
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Methionine ← eggs, meat, fish
-
Omega-3 (EPA/DHA) ← oily fish, sardines, mackerel
-
Polyphenols ← berries, green tea, dark leafy greens
-
Stable dietary patterns prioritising methyl-donor continuity may support variant-sensitive responsiveness (meal-pattern lever; not a single-substrate map).
8. Lifestyle Levers
Lifestyle
- Consistent daily nutrient coverage
- Sleep and stress recovery supporting metabolic resilience
- Avoid genotype-driven high-dose nutrient interpretation
9. Scoreable Inputs & Modulation Signals
Scoreable Input Categories
| Input Category | Example Inputs | SM-SNP1 relevance |
|---|---|---|
| Functional Property Potentials | consistent_methyl_donor_coverage; riboflavin_folate_context | Precursor and cofactor scoring context. |
| Realised Functional States | homocysteine_modulation_context; omega3_status_context | Variant-sensitive methylation response patterns. |
| Substance / Nutrient Signals | folate; B12; B2; omega-3; methionine | Substrate and cofactor signals from connected PM1/PM3. |
| Preparation Transformations | minimally_processed; whole_food_matrix | Food-matrix support for donor continuity. |