Ben Sima Genome Analysis (23andMe v4, March 2026)

Priority SNPs — Metabolic & Liver Focus

MTHFR (Methylation / Homocysteine)

PNPLA3 (Liver Fat / NAFLD)

TM6SF2 (Liver Fat)

APOC3 (Triglycerides)

TCF7L2 (Type 2 Diabetes)

HFE (Hemochromatosis / Iron)

APOE (Cardiovascular / Alzheimer’s)

FTO (Obesity/Appetite)

PPARG (Insulin Sensitivity)

ADRB2 (Beta-2 Adrenergic Receptor)

COMT (Catechol-O-Methyltransferase)

Vitamin D Metabolism

Lactase Persistence

FADS1 (Fatty Acid Desaturase)

Alpha-1 Antitrypsin

ADH1B (Alcohol Metabolism)

Celiac/Autoimmune

NQO1 (Quinone Reductase)

TMPRSS6 (Iron Regulation)

SH2B3/LNK

FUT2 (Secretor Status)

MELATONIN (Sleep/Glucose)

OXTR (Oxytocin Receptor)

DRD2 (Dopamine D2 Receptor)

BDNF

OPRM1 (Opioid Receptor)

GSTP1

Summary: Key Actionable Findings

HIGH PRIORITY

  1. APOC3 double-homozygous risk — genetically predisposed to high triglycerides. OMAD is working against this. Keep it up. Consider fish oil 2-4g/day EPA+DHA.
  2. MTNR1B risk carrier — late eating specifically bad for glucose. OMAD window should be midday/early afternoon, not evening.
  3. Alpha-1 Antitrypsin carrier (MZ) — check serum AAT level. Could contribute to liver enzyme elevation. Never smoke.
  4. Lactose intolerant genotype — may be subclinically reactive to dairy. Consider eliminating and tracking symptoms.

MODERATE PRIORITY

  1. No PNPLA3 risk — liver issues are metabolic, fully reversible with lifestyle. Very good news.
  2. No HFE mutations — ferritin was inflammatory, not hereditary. Confirms blood donation was right intervention.
  3. No TCF7L2 risk — insulin resistance is environmental. Reversible.
  4. APOE ε3/ε3 — neutral. No special Alzheimer’s concern.
  5. FTO heterozygous — modest appetite/obesity effect. Fasting mitigates.
  6. SH2B3 homozygous — inflammatory tendency. Anti-inflammatory diet beneficial.
  7. Vitamin D tendency — supplement and monitor.
  8. FADS1 heterozygous — use preformed omega-3 (fish oil), not plant sources.

NOT CONCERNING

B12 Pathway SNPs (detailed analysis added 2026-03-18)


Skin-Related Findings

MC1R — Pigmentation & Skin Sensitivity

FLG (Filaggrin) — Skin Barrier

IL-13 — Atopic/Inflammatory Skin Risk

SPINK5 — Skin Barrier Protease Inhibitor

BCMO1 — Beta-Carotene → Vitamin A Conversion

Psoriasis Risk SNPs

FADS1 — Omega Fatty Acid Metabolism

Summary

Strong psoriasis risk profile (HLA-C het + LCE3 het + IL12B het). Combined with IL-13 overexpression (two het risk variants) and reduced vitamin A conversion (BCMO1 double het), there is a clear genetic basis for dry, inflammation-prone skin. Filaggrin is normal, so the barrier issue is inflammatory rather than structural.


Nicotine & Addiction-Related Findings

CHRNA5-A3-B4 Cluster — Nicotinic Acetylcholine Receptors

CYP2A6 — Nicotine Metabolism Rate

Dopamine System

Opioid/Reward System

GABA System

Serotonin

MAOA — Monoamine Oxidase A

DBH — Dopamine Beta-Hydroxylase

BDNF

Summary — Nicotine Addiction Risk Profile

Your genome shows ONE meaningful addiction risk factor: heterozygous CHRNA5 D398N. Everything else in your dopamine system (DRD2, DAT, DBH), opioid system (OPRM1), and monoamine metabolism (MAOA high activity) is protective or neutral. CYP2A6 is normal (not slow metabolizer, so no extra protection there, but not fast either).

Net assessment: slightly above average genetic susceptibility to nicotine specifically (CHRNA5 het), but below average susceptibility to addiction generally (protective DRD2, OPRM1, DBH, MAOA, BDNF). At 3mg pouches with no MAOIs, the CHRNA5 variant is unlikely to be clinically relevant — it primarily predicts escalation to heavy smoking, which involves a completely different delivery/reinforcement profile.

Exercise-Related SNPs

Power vs Endurance Profile

ACTN3 R577X (rs1815739): CT = heterozygous (RX)

ACE I/D proxy (rs4343): AG = heterozygous (I/D equivalent)

PPARGC1A Gly482Ser (rs8192678): CC = GG on coding strand = wildtype Gly/Gly

PPARD (rs2016520): CT = heterozygous

ADRB2 Arg16Gly (rs1042713): AA = Arg/Arg (wildtype)

ADRB2 Gln27Glu (rs1042714): CC = Gln/Gln (wildtype)

ADRB3 Trp64Arg (rs4994): AA = wildtype (Trp/Trp)

UCP2 (rs660339): GG = wildtype

Hypoxic / Cardiovascular Response

HIF1A Pro582Ser (rs11549465): CC = wildtype (Pro/Pro)

VEGFA (rs2010963): GG = wildtype

AGT Met235Thr (rs699): AA = wildtype (Met/Met)

AGTR1 (rs5186): AC = heterozygous

Recovery / Injury Risk

IL-6 -174G>C (rs1800795): GG = wildtype (high IL-6 producer)

TNF-alpha -308G>A (rs1800629): GG = wildtype (low TNF producer)

COL1A1 Sp1 (rs1800012): AC = heterozygous

COL5A1 (rs12722): CT = heterozygous

MMP3 (rs679620): CC = homozygous

Muscle & Neurological

BDNF Val66Met (rs6265): CC = Val/Val (wildtype)

COMT Val158Met (rs4680): AG = heterozygous (Val/Met)

DRD2/ANKK1 (rs1800497): GG = wildtype (normal D2 density)

CNTF (rs1800169): GG = wildtype

VDR FokI (rs2228570): AG = heterozygous

Fat Mobilization & Metabolism

ADRA2A (rs1800544): CG = heterozygous

PPARG Pro12Ala (rs1801282): CC = wildtype (Pro/Pro)

Lactate / Pain

MCT1 (rs7136446): CT = heterozygous

TRPV1 (rs8065080): CT = heterozygous


1. Sleep Architecture & Chronotype

CLOCK rs1801260 (3111 T>C)

PER2 rs2304672

PER2 rs934945

PER3 rs228697

MTNR1B rs10830963

DEC2/BHLHE41 rs73598374

GNB3 rs5443

COMT rs4680 (Val158Met)

NPAS2 rs2305160

ARNTL/BMAL1 rs4757144

Sleep Synthesis

Ben’s genetic sleep profile is NORMAL, not a short-sleeper mutation. His 6.5-7.5hr range is likely the genuine physiological minimum, not DEC2-mediated resilience. The PER3 het + GNB3 het may nudge him toward the shorter end of normal. His CLOCK is wildtype (not a genetic night owl), which is consistent with naturally waking at 7am. The MTNR1B het means his melatonin system is somewhat metabolically sensitive — another reason not to eat late.

Practical: 7hrs is your genetic floor, not excess. The 5am shift for workouts is fighting your neutral chronotype but not fighting a strong evening-type allele, so it’s sustainable with consistent light exposure. Bright light immediately at 5am wake + light restriction after 8pm would maximize circadian entrainment.


2. Caffeine Metabolism

CYP1A2 rs762551

AHR rs4410790

ADORA2A rs2472297

Caffeine Synthesis

Ben is a genetically slow caffeine metabolizer who is also moderately caffeine-sensitive at the receptor level. His self-observed pattern (one cup = wired on workdays) is genetically validated. His 1-2 cups/day is the maximum advisable dose for his genotype.

Practical:


3. Cardiovascular Deep Dive

Lp(a) — Lipoprotein(a)

9p21 (CDKN2A/2B) — Coronary Heart Disease Risk Locus

AGT rs699 (M235T)

AGTR1 rs5186 (A1166C)

ADD1 rs4961 (Gly460Trp)

CETP rs708272 (TaqIB)

SORT1 rs599839

FTO rs9939609

Cardiovascular Synthesis

Mixed picture. The good: normal Lp(a) (huge), high HDL tendency (CETP), normal blood pressure genetics (AGT wildtype, ADD1 wildtype), one SORT1 protective allele. The bad: heterozygous 9p21 CHD risk locus (~1.3x risk, non-lipid-mediated) and one AGTR1 gain-of-function allele.

Net risk: slightly above average for CHD, driven by the 9p21 locus, but with several protective factors.

Practical:


4. Cancer Risk SNPs

8q24 rs6983267

TP53 rs1042522 (Pro72Arg)

MC1R rs1805008 (R160W)

GSTP1 rs1695 (I105V)

TERT rs2736100

BRCA1 / BRCA2

Lynch Syndrome (Mismatch Repair)

APC rs1801155 (I1307K)

ATM rs1801516

Cancer Synthesis

The main finding is the 8q24 GG homozygous — this is a genuine, well-validated colorectal cancer susceptibility locus. Combined with TERT CC (longer telomeres / increased general cancer risk) and GSTP1 het (reduced detox), the picture favors a proactive screening approach.

Practical:


5. Pharmacogenomics

CYP2D6 (Codeine, Tramadol, SSRIs, Beta-blockers, Tamoxifen)

CYP2C19 (PPIs, Clopidogrel, some SSRIs)

CYP2C9 (Warfarin, NSAIDs, some oral hypoglycemics)

CYP3A4 rs2740574

CYP3A5 rs776746

SLCO1B1 rs4149056 (Statin Transporter)

VKORC1 rs9923231 (Warfarin Sensitivity)

DPYD rs3918290 (5-Fluorouracil Toxicity)

NAT2 (Isoniazid, Sulfonamides, Caffeine secondary pathway)

ABCB1 rs1045642 (P-glycoprotein / MDR1)

HLA-B*5701 rs2395029

ADH1B rs1229984 (Alcohol Metabolism)

ALDH2 rs671

Pharmacogenomics Synthesis

Two critical findings to put on a medical card:

  1. *CYP2C9*1/3 (Intermediate Metabolizer) — affects warfarin, NSAIDs, and several other drugs. If ever prescribed warfarin, dose must be reduced ~25%. NSAIDs should be used at lower doses.

  2. NAT2 Slow Acetylator — affects isoniazid and sulfonamides. If ever treated for TB, need dose reduction and liver monitoring.

Other notable:


6. Gut / Microbiome Predisposition

FUT2 rs601338 (Secretor Status)

FUT2 rs602662

ATG16L1 rs2241880 (T300A)

NOD2 (Crohn’s Disease Major Gene)

HLA-DQ2 rs2187668

HLA-DQ8 rs7454108

IL-23R rs11209026

Gut Synthesis

Net IBD risk: low but not zero. NOD2 clean (major) but ATG16L1 het (minor) and no IL-23R protection. The bigger gut story is the connection to his other systems:

Practical: