~/shanegraffiti.com/research/genomic-bayesian-anchor Shane Graffiti Inc. Semantic Adversarial Research Division 2026

IS IT YOU
OR YOUR
ENVIRONMENT?

Continuous physiological monitoring throws off a number every few seconds, but a number means nothing without a reference. Population norms can say whether a reading is typical for a group; they can't say whether it's typical for this person. A personal behavioral baseline is far more informative but it doesn't exist on day one. That's the cold-start problem. This framework proposes a third reference that exists before any behavioral data are ever collected: an exogenous genetic anchor, built from GWAS effect sizes applied to an individual's own genotype. Because genotype is fixed at conception, the anchor is immune to reverse causation, letting an observed reading decompose into a constitutional set point and an environmental deviation the one part of the signal that is candidate-causal and actionable. Six physiological domains are mapped end to end, from strongly replicated anchors (FTO, FADS1/2, FKBP5) down to a cautionary tier of contested candidate genes (SLC6A4, MAOA, DRD2), with explicit constraints for honest deployment: evidence-graded priors, dynamic decay toward a behavioral baseline, ancestry-matched effect sizes, and attribution rather than diagnosis.

Division
Semantic Adversarial Research
Domain
Causal AI / Personalized Physiology
Published
arXiv 2606.13556 2026
Key Result
Day-zero personalization, no behavioral data required
Exogenous Genetic Anchor◆ Cold-Start Problem◆ Bayesian Prior Design◆ Causal Decomposition◆ Polygenic Score◆ Mendelian Randomization◆ FTO · FADS1/2 · FKBP5◆ Prior-Decay Architecture◆ "Normal for Whom" Reversal◆ Candidate-Gene Crisis◆ Ancestry-Matched Effect Sizes◆ N-of-1 ABAB Design◆ Exogenous Genetic Anchor◆ Cold-Start Problem◆ Bayesian Prior Design◆ Causal Decomposition◆ Polygenic Score◆ Mendelian Randomization◆ FTO · FADS1/2 · FKBP5◆ Prior-Decay Architecture◆
§ 2.0Core Concepts

Two reference systems already exist for physiological interpretation, and both fall short. Population norms answer whether a reading is typical at the group level; a personal baseline is more informative but requires weeks of data to stabilize. The exogenous genetic anchor is a third reference, available from the first measurement, that sits between them. [click a term to focus it]

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§ 3.0The Causal Framework

Genotype G sits at the root of the causal graph with no incoming edges nothing downstream can alter germline sequence. Environment E and G jointly produce the phenotype P, and decomposing the observed signal into a genetic set point and a deviation isolates the one component that behavior and environment can still move. [click a side to trace its formula]

Nature Fixed at Conception
Genetic
Set Point
Ĝ is estimated from GWAS effect sizes and the individual's allele counts. It is not a prediction of the person's value it's a probabilistic prior, calibrated by evidence strength and carried with uncertainty proportional to that strength.
⇄decompose
Nurture Everything Else
Non-Genetic
Deviation
δ = P − Ĝ reflects environment, lifestyle, disease state, and noise everything not fixed by genetics. It is the candidate-causal, actionable signal, and the only part of the reading a behavioral intervention can move.
The decomposition Ĝ = μ + Σᵢ βᵢ gᵢ // μ = population mean, βᵢ = GWAS effect size, gᵢ ∈ {0,1,2} = risk-allele count Ĝ ~ N(μ_G, σ²_G) // σ²_G grows with sampling error, unobserved heritability, and ancestry mismatch δ = P − Ĝ ~ N(P − μ_G, σ²_G + σ²_ε) // a deviation is informative only when |δ| substantially exceeds σ_G Ĝ_t = w(t)·Ĝ_genomic + [1 − w(t)]·P̄_t // w(t) → 1 at cold-start, w(t) → w_min > 0 as a personal baseline matures
§ 4.0Six Physiological Domains

The decomposition is only as good as Ĝ, and Ĝ's quality varies enormously by domain. Strongest anchors first metabolic and fatty-acid signals carry real, mechanistically validated weight; autonomic and dopaminergic signals carry almost none.

Domain
Anchor & Mechanism
Evidence Grade {{ sortArrow }}
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§ 5.0The Candidate-Gene Crisis

For decades, behavioral genomics chased named "candidate genes" selected for mechanistic plausibility. A pre-registered analysis of 18 historically prominent depression-gene hypotheses found no support across multiple large samples. The most celebrated gene-by-environment finding in psychiatry 5-HTTLPR × stress disappeared on aggregation. These genes stay in the framework only as a cautionary tier. [click the header to flag unreplicated rows]

The cautionary candidate-gene tier claimed effect vs. replication status
Gene (Variant)Claimed AssociationReplication Status ▸
COMT (Val158Met)Prefrontal dopamine shaping executive function & stress responseEnzyme effect robust; behavioral effects small & reverse with age
SLC6A4 (5-HTTLPR)S-allele raising anxiety/depression under stressNo robust main effect or G×E in large meta-analyses
MAOA (uVNTR)Low-activity "warrior gene" linked to aggressionSmall, inconsistent; documented forensic misuse history
DRD2 (TaqIA)A1 allele, "reward deficiency" / addiction riskDensity effect debated; modest, contested in meta-analysis
DRD4 (7R VNTR)7R allele raising novelty-seeking & ADHD riskMixed; novelty-seeking effect small, ADHD highly polygenic
DRD3 (Ser9Gly)Gly allele raising D3 affinity & impulsivityWeak and inconsistent
0
FTO β (kg/m²) strongest single anchor
0%
Chronotype SNP heritability vs 40–50% twin
0
Candidate-gene depression hypotheses, zero replicated
~0%
Non-zero floor where the genomic prior never fully decays
§ 6.0From Attribution to Causation

The anchor delivers a genuine causal gain at Rung 1 of Pearl's ladder a calibrated, ranked hypothesis. Stronger claims require intervention or counterfactual evidence the framework is explicit about not having yet.

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Rung {{ activeLadderN }} of 3 on Pearl's ladder confidence ceiling: {{ activeLadderCeiling }}
§ 7.0Constraints for Honest Implementation

Calibrated restraint is the framework's defining discipline. The anchor is genuinely informative and genuinely weak, and every deployment constraint exists to keep the architecture from forgetting the second half of that sentence.

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~/conclusion
$ query: what does the genetic anchor solve // the cold-start gap a day-zero reference before any behavioral data exist. // it doesn't predict a value. it's a weak, principled prior over one. $ query: what does this cost // a recoverable genetic variance that's small, polygenic, and ancestry-biased. // strongest for metabolic traits, weakest for anything behavioral. $ query: what is the actual result // the same HRV reading tells opposite causal stories for two different genomes. // population norms can't see that. an individualized anchor can.

THE GENOME
ISN'T A
VERDICT.
IT'S A
PRIOR.