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Personal Sample Report

Personal DNA Metabolic Priorities

Raw DNA file -> personalized metabolic pathway priorities -> matched gene/SNP evidence -> plain-language explanation -> biomarkers to validate.

This report helps you decide what to test, track, or discuss next. It does not tell you what to treat or supplement.

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Turn your raw DNA file into a validation plan for the biomarkers and pathways worth discussing next.

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Personal viewBuilt for self-understandingStart with what your DNA may point to, what it could mean in real life, and which markers are worth checking before decisions.
Sample profileJohn Doe
GenderMaleInferred from X/Y chromosome SNP coverage in the raw file.
GeneratedJune 22, 2025
Data sourceConsumer raw DNA export (MyHeritage)

Brain and heart metabolism

Brain and cardiometabolic context

Long-term brain and cardiovascular follow-up often comes back to metabolic systems: glucose control, blood-fat transport, oxidative stress, inflammation, vascular tone, methylation, and cellular energy. This section groups the relevant DNA pathway signals so they can be validated with labs and real-world context.

Use this as a focused checklist for what to measure next. It does not screen for dementia, heart disease, or HCM; it shows which metabolic systems in this sample deserve follow-up.

High priority

Blood sugar

0.442

Blood-sugar and insulin strain can affect energy stability, vascular load, and long-term cardiometabolic follow-up.

May increase glucose strainValidate with: Fasting insulin, fasting glucose, HbA1c
High priority

B vitamins

0.433

Homocysteine, folate, and B12 context connect this pathway to vascular and nerve-health follow-up.

May lower B-vitamin use efficiencyValidate with: Homocysteine, methylmalonic acid, folate
High priority

Stress recovery

0.408

Oxidative-stress buffering matters when inflammation, poor sleep, alcohol, illness, pollution, or heavy training create extra cellular load.

May reduce stress-recovery capacityValidate with: Glutathione balance (GSH/GSSG ratio), oxidized LDL
High priority

Cholesterol / blood fats

0.363

ApoB, LDL-C, triglycerides, HDL-C, and Lp(a) show whether lipid-particle transport is visible in current blood chemistry.

May reduce blood-fat clearanceValidate with: ApoB, triglycerides, LDL-C
Moderate priority

Detox / cleanup

0.164

This pathway can add antioxidant-cleanup context when homocysteine, liver markers, recovery, or oxidative-stress markers are relevant.

May reduce cleanup supportValidate with: Homocysteine, liver enzymes, oxidative-stress or recovery context

Scored LDL result

LDL and lipid genes tracked in this report

The lipid pathway separates LDL clearance, LDL-receptor regulation, cholesterol synthesis, HDL remodeling, triglyceride-rich particles, sterol transport, and Lp(a) context instead of treating cholesterol as one number.

High priority

LDL-C / ApoB follow-up score

May increase LDL-C / ApoB follow-up burden

0.380

This sample has more LDL/ApoB-raising evidence than LDL-lowering evidence. The practical next step is lipid blood testing, not assuming disease.

Check ApoB first if possible, plus LDL-C, non-HDL-C, triglycerides, HDL-C, Lp(a), blood pressure, and glucose markers.
LDL/ApoB-raising evidence
0.678
LDL/ApoB-lowering evidence
0.298

Raises the LDL/ApoB score

TRIB1 rs2954029+0.285

rs2954029 AT carries one TRIB1 rs2954029 A allele and is associated with higher triglyceride-rich and apoB-containing lipid biomarker tendency.

The matched lipid claim points toward higher LDL/ApoB burden.
ABCG8 rs4299376+0.259

rs4299376 GT carries one ABCG8 rs4299376 G allele and is associated with higher LDL cholesterol and cholesterol-absorption tendency.

The matched lipid claim points toward higher LDL/ApoB burden.
HMGCR rs12916+0.258

rs12916 CT carries one HMGCR rs12916 C allele, the non-LDL-lowering allele relative to T, and is associated with higher LDL cholesterol tendency than TT.

The matched lipid claim points toward higher LDL/ApoB burden.
LDLR rs688+0.182

rs688 CT is associated with reduced LDLR transport activity.

Lower LDLR clearance signal raises LDL/ApoB follow-up burden.

Offsets the LDL/ApoB score

PCSK9 rs562556-0.298

rs562556 AG carries one PCSK9 rs562556 G allele and is associated with lower LDL cholesterol tendency.

PCSK9 LDL-lowering signal offsets LDL/ApoB follow-up burden.
PCSK9-0.298

LDL-receptor regulation; PCSK9 changes how many LDL receptors remain available for LDL particle clearance.

Contributes in this sample
LDLR-0.182

LDL particle clearance; LDLR directly removes LDL particles from circulation.

Contributes in this sample
HMGCR+0.258

Cholesterol synthesis context; HMGCR is the rate-limiting cholesterol-synthesis target used as statin biology context.

Contributes in this sample
TRIB1+0.285

Triglyceride-rich and ApoB-containing particle context; TRIB1-region evidence links to triglycerides, LDL-C, and ApoB-containing lipid patterns.

Contributes in this sample
ABCG8+0.259

Sterol transport and absorption context; ABCG8 affects intestinal and biliary sterol handling and can shift LDL-C tendency.

Contributes in this sample
CETP-0.288

HDL and lipid remodeling context; CETP changes lipid transfer between HDL and ApoB-containing particles.

Contributes in this sample
ABCA1+0.252

Cholesterol efflux and HDL formation context; ABCA1 helps move cholesterol out of cells toward HDL particles.

Contributes in this sample
APOEcontext

Lipid-particle handling context; APOE is tracked as a backup/context gene for lipid transport and brain-lipid discussions.

Tracked as pathway context; no scored contribution in this sample
LPAcontext

Lipoprotein(a) context; LPA is usually validated directly with an Lp(a) blood test.

Tracked as pathway context; no scored contribution in this sample
APOBcontext

ApoB particle structure and LDL receptor binding context; ApoB helps define particle burden and LDL clearance biology.

Tracked as pathway context; no scored contribution in this sample
SORT1context

Hepatic VLDL-LDL trafficking context; SORT1-region evidence connects liver lipoprotein handling to LDL-C.

Tracked as pathway context; no scored contribution in this sample
TM6SF2context

Hepatic VLDL secretion context; reduced secretion can coexist with liver-lipid retention caveats.

Tracked as pathway context; no scored contribution in this sample

Key lipid checks: ApoBLDL-Cnon-HDL-CtriglyceridesHDL-CLp(a)

Scored cardiac genetics result

HCM / inherited cardiomyopathy screen score

No curated HCM-relevant variant signal was detected in this sample report.

No scored HCM variant signal

No scored HCM variant signal detected

Clinical-grade follow-up required if history, symptoms, ECG, echo, or MRI raise concern.

0.000

This means the current curated evidence registry did not find an HCM-relevant variant in this sample. It does not rule out HCM because consumer raw DNA files do not cover all sarcomeric genes, rare variants, copy-number changes, or clinical interpretation rules.

Scores only direct curated HCM/cardiomyopathy evidence in HCM core or phenocopy genes. Metabolic pathway SNPs and vague cardiomyopathy context are not allowed to create an HCM score.

Escalate when present

  • Known personal or family history of HCM or unexplained thickened heart muscle
  • Family history of sudden unexplained cardiac death, especially at young age
  • Fainting, chest pain, abnormal shortness of breath, or palpitations during exertion
  • Abnormal ECG, echocardiogram, cardiac MRI, or clinician concern

Genes to discuss

MYH7MYBPC3TNNT2TNNI3TPM1ACTC1MYL2MYL3HCM phenocopy genes when ordered by a clinician

Appropriate follow-up

If HCM is a real question, use cardiology review, ECG/echocardiography or cardiac MRI as appropriate, and clinical-grade cardiomyopathy genetic testing with genetic counseling.

2024 AHA/ACC multisociety HCM guideline GeneReviews: Nonsyndromic Hypertrophic Cardiomyopathy 2023 ESC cardiomyopathy guideline

Personal Priority List

What to check first

This view starts with score, priority, and plain meaning. Open any row for markers, practical next steps, and the evidence trail.

RankPathwayScorePriorityPlain meaningDetails
1
Coffee / stimulantsCaffeine / stimulant sensitivity
 0.490 High priority Coffee may hit hard: wired, shaky, anxious, or awake too long.

Personal pathway explanation

Coffee / stimulants

Caffeine / stimulant sensitivity

Learn about this pathway in the KB
High priority0.490May increase stimulant sensitivity How to read this score
What this system does

This is about how strongly your body reacts to caffeine and stimulant-like substances.

What your DNA points to

Coffee may hit hard: wired, shaky, anxious, or awake too long.

Why this pathway is ranked here

Caffeine / stimulant sensitivity is ranked from 5 matched gene signals and 7 matched evidence items. The strongest matched driver is COMT rs4680 AG; the topology model resolves this as may increase stimulant sensitivity.

What to check

  • Caffeine tolerance historyCaffeine tolerance history is the practical record of dose, timing, sleep, anxiety, heart rate, and blood-pressure response.
  • sleep latencySleep latency is how long it takes to fall asleep and is useful when stimulant sensitivity is suspected.
  • blood pressure responseBlood pressure response helps validate whether a pathway signal is visible under stress, stimulants, or vascular load.

Why validate

Useful checks include caffeine timing and dose response, sleep latency, resting heart rate, blood pressure response, anxiety or palpitations after caffeine, and wearable sleep/recovery trends.

If this pattern fits you

Start with dose and timing. If caffeine still feels harsh, consider non-stimulant energy basics first; magnesium or L-theanine may be discussed if sleep or jitteriness is the main issue.

Evidence and Audit Trail

Genes, SNPs, evidence items, studies, and method

This pathway-level audit trail shows the 5 matched gene signals, 7 evidence items, source studies, and topology method behind this result.

2
Lactose digestionLactose digestion
 0.457 High priority Your DNA may point toward lower adult lactase activity. Dairy symptoms, dose, fermentation, and gut context decide whether this matters.
3
Blood sugarGlucose
 0.442 High priority Meals may cause bigger energy crashes, especially after sugar or carbs.
4
B vitaminsMethylation
 0.433 High priority Your body may use B vitamins less efficiently. This can affect energy, nerves, and repair.
5
Stress recoveryOxidative stress
 0.408 High priority You may recover more slowly after stress.
6
Gluten immune riskGluten / celiac immune risk
 0.399 High priority Your DNA may carry more celiac-compatible immune background. This means gluten-related symptoms deserve proper clinical context, not self-diagnosis.
7
Cholesterol / blood fatsLipids
 0.363 High priority Your body may clear fats from the blood less efficiently. Blood tests decide whether this matters.
8
Food / allergy reactionsHistamine
 0.312 Moderate priority Those reactions may last longer once they start.
9
HormonesEstrogen metabolism
 0.283 Moderate priority Estrogen-like hormones may stay in your body longer.
10
CholineCholine support
 0.240 Moderate priority This sample shows a mild choline-related signal. It may be worth checking if liver markers, methylation context, cognition, diet, or choline intake make it relevant.
11
Detox / cleanupSulfur / transsulfuration
 0.164 Moderate priority Some detox-related pathways may run less efficiently. This may matter more if symptoms, liver markers, recovery patterns, or sulfur-food sensitivity point in the same direction.
12
IronIron handling
 0.115 Low DNA signal Iron helps blood carry oxygen. Your iron tests may come back too high.
Important: These are structured hypotheses, not medical conclusions. The next step is validation and practitioner discussion, not action from DNA alone.
Disclaimer: This is a DNA-derived pathway hypothesis, not a medical conclusion. The report does not confirm current metabolite levels or disease status. Biomarkers, symptoms, medication context, and clinician review decide whether a pathway signal is currently relevant.