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Practitioner Sample Report

Practitioner DNA Evidence Review

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

DNA findings are treated as hypotheses, not conclusions. The report prioritizes pathways to review and biomarkers to validate.

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Workflow viewBuilt for client reviewTriage pathway hypotheses, inspect evidence strength, then decide which biomarkers or clinical context deserve review.
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 review cluster for cardiometabolic and brain-health-adjacent hypotheses. It should be compared with history, family history, medications, ECG/echo context where relevant, and current biomarkers.

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.

4 LDL/ApoB-raising SNP signals and 1 LDL/ApoB-lowering SNP signal matched this sample.

Missing or neutral lipid genes mean no curated scored SNP matched for that gene in this report. They do not rule out rare familial-hypercholesterolemia variants, Lp(a) copy-number biology, structural variants, or blood-lipid risk.

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.

Scored lipid-pathway SNP indicated in this sample
LDLR-0.182

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

Scored lipid-pathway SNP indicated in this sample
HMGCR+0.258

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

Scored lipid-pathway SNP indicated in this sample
LPLcontext

Triglyceride-rich particle clearance; LPL helps clear triglyceride-rich lipoproteins from circulation.

No curated scored lipid-pathway SNP indicated in this sample
APOA5context

Triglyceride-rich particle regulation; APOA5 helps regulate triglyceride-rich lipoprotein handling.

No curated scored lipid-pathway SNP indicated 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.

Scored lipid-pathway SNP indicated in this sample
ABCG8+0.259

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

Scored lipid-pathway SNP indicated in this sample
CETP-0.288

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

Scored lipid-pathway SNP indicated in this sample
ABCA1+0.252

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

Scored lipid-pathway SNP indicated in this sample
APOEcontext

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

No curated scored lipid-pathway SNP indicated in this sample
LPAcontext

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

No curated scored lipid-pathway SNP indicated in this sample
APOBcontext

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

No curated scored lipid-pathway SNP indicated in this sample
PPARAcontext

Lipid regulatory context; PPARA helps regulate fatty-acid oxidation and triglyceride-related metabolic context.

No curated scored lipid-pathway SNP indicated in this sample
SORT1context

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

No curated scored lipid-pathway SNP indicated in this sample
TM6SF2context

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

No curated scored lipid-pathway SNP indicated in this sample

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

Scored cardiac genetics result

HCM / inherited cardiomyopathy screen score

No scored HCM SNP/variant was indicated in this sample for the reviewed genes.

No scored HCM variant signal

No scored HCM variant signal detected

This is a scored-evidence screen only, not a complete clinical cardiomyopathy gene panel.

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.

The missing result means no curated scored HCM variant matched this sample. It does not mean the HCM genes or possible rare variants are absent from the genome.

Scores only direct curated HCM/cardiomyopathy evidence in core sarcomere genes or specialist cardiac-mimic 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 review if HCM is a real question

MYH7No scored SNP indicated
Core HCM sarcomere gene

No scored SNP/variant indicated for this sample.

MYBPC3No scored SNP indicated
Core HCM sarcomere gene

No scored SNP/variant indicated for this sample.

TNNT2No scored SNP indicated
Core HCM sarcomere gene

No scored SNP/variant indicated for this sample.

TNNI3No scored SNP indicated
Core HCM sarcomere gene

No scored SNP/variant indicated for this sample.

TPM1No scored SNP indicated
Core HCM sarcomere gene

No scored SNP/variant indicated for this sample.

ACTC1No scored SNP indicated
Core HCM sarcomere gene

No scored SNP/variant indicated for this sample.

MYL2No scored SNP indicated
Core HCM sarcomere gene

No scored SNP/variant indicated for this sample.

MYL3No scored SNP indicated
Core HCM sarcomere gene

No scored SNP/variant indicated for this sample.

GLANo scored SNP indicated
Specialist cardiac-mimic gene

No scored SNP/variant indicated for this sample.

LAMP2No scored SNP indicated
Specialist cardiac-mimic gene

No scored SNP/variant indicated for this sample.

PRKAG2No scored SNP indicated
Specialist cardiac-mimic gene

No scored SNP/variant indicated for this sample.

TTRNo scored SNP indicated
Specialist cardiac-mimic gene

No scored SNP/variant indicated for this sample.

Appropriate follow-up

If HCM is a real question, start with cardiology review, ECG and echocardiography or cardiac MRI as appropriate. A genetics clinic can decide whether sarcomere genes plus cardiac-mimic genes such as GLA, LAMP2, PRKAG2, and TTR should be tested clinically.

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

Missing data and risk limits

What this sample can and cannot see

Raw DNA files are not complete clinical sequencing. A missing score usually means no curated scored SNP matched this sample, not that the gene, variant class, or risk factor is absent.

Scored, partial genetic coverage

LDL-C / ApoB genetics

4 LDL/ApoB-raising SNP signals and 1 LDL/ApoB-lowering SNP signal matched this sample.

Missing or neutral lipid genes mean no curated scored SNP matched for that gene in this report. They do not rule out rare familial-hypercholesterolemia variants, Lp(a) copy-number biology, structural variants, or blood-lipid risk.
Tracked lipid genes with scored SNP signals
PCSK9, LDLR, HMGCR, TRIB1, ABCG8, CETP, ABCA1
Tracked lipid genes without a scored sample signal
LPL, APOA5, APOE, LPA, APOB, PPARA, SORT1, TM6SF2
No scored signal in this sample

HCM / inherited cardiomyopathy genetics

0 curated HCM-relevant variant signal matched across 12 reviewed genes.

The missing result means no curated scored HCM variant matched this sample. It does not mean the HCM genes or possible rare variants are absent from the genome.
Scored HCM variants indicated
0
Reviewed HCM/cardiac-mimic genes
12
Partial study-panel readout

Aerobic fitness / VO2max trainability

This raw file covers 4 of 21 SNPs from the smaller HERITAGE predictor panel. 3 measured SNPs have a clean study direction here. Treat this as partial research context, not as a fitness prediction.

Missing or unscored VO2max rows mean this raw file lacks the SNP, the review marked the genotype direction as TBC, or the allele orientation is not clean enough to score. This should not be read as low VO2max or low training potential.
HERITAGE predictor SNPs measured
4/21
Broader review rows measured
15/44
Study-panel model used
favorable response allele/unit count

Measured SNPs: AMPD1 rs17602729 GG RGS18 rs10921078 GG ACSL1 rs6552828 AG HCG22 rs2428514 GG HCG22 rs2517518 CC HCG22 rs2523840 GG GRIN3A rs959066 GG CD44 rs353625 CT CXCR5 rs4938561 TT ADGRE3P/EMR4 rs7256163 AA MN1 rs738353 CC NR3C1 rs6190 CC CNTF rs1800169 AG GSTP1 rs1695 AA AKT1 rs1130214 AC

Bouchard et al. 2011 HERITAGE VO2max trainability GWAS Williams et al. 2017 VO2max trainability systematic review
Pathway hypotheses, not diagnostic screening

Other disease-risk factors

The pathway table can highlight metabolic systems worth validating, but it does not replace disease-risk models, clinical genetics, imaging, or blood-marker follow-up.

A low or missing pathway signal means the current curated SNP evidence did not prioritize that pathway. It does not rule out lifestyle risk, family-history risk, rare variants, unmeasured variants, or non-genetic causes.
Best next confirmation layer
biomarkers, symptoms, family history, and clinician review

Sports genetics context

Aerobic fitness / VO2max trainability

This checks whether the raw DNA file contains SNPs from published VO2max trainability studies. It does not estimate current fitness, athletic ceiling, or a pathway knockout score.

Bottom lineNo strong DNA-based VO2max conclusion: only 4 of 21 key study-panel SNPs were measured, so real fitness testing is the right validation step.

This raw file covers 4 of 21 SNPs from the smaller HERITAGE predictor panel. 3 measured SNPs have a clean study direction here. Treat this as partial research context, not as a fitness prediction.

This is a study-panel trainability check, not a pathway topology score and not a measurement of current VO2max.

VO2max trainability is scored with the study-panel method: count clear high-response alleles or genotype units from the published panels, then cap interpretation by raw-file coverage and allele-orientation completeness.

Smaller HERITAGE predictor panel

HERITAGE 21-SNP trainability panel

Partial measured subset leans toward fewer favorable training-response markers

17%

4 of 21 study rows were measured; 3 could be interpreted with the published study model. This is useful research context, not a reliable VO2max or training-potential prediction.

Coverage too low for a reliable VO2max trainability score
1
Unfavorable markers found

Matched a genotype reported as lower response in the source study.

1
Favorable markers found

Matched a reported high-response marker or a scored allele away from a low-response genotype.

1
High-response markers absent

A reported high-response marker was checked but not present; this is not proof of low response.

1
Measured but unresolved

The SNP was present in the raw file, but the genotype direction is not safe to interpret yet.

17
Missing from raw file

The published study-panel SNP was not measured in this raw genotype file.

Measured
4/21
Scored
3/4
Coverage confidence
14%
Study unit
allele copies

Run the original predictor only when the relevant SNPs and response alleles are sufficiently covered and oriented. Partial raw-file coverage should be shown as a partial study-panel signal.

Measured SNPs in this sample
ACSL1 rs6552828AG

AA low-response genotype · Scored

This sample carries one allele away from the reported low-response genotype AA; this counts as partial favorable support in the HERITAGE allele-copy model.Carries one allele away from the reported low-response genotype AA. 1/2 favorable allele copies
RGS18 rs10921078GG

GG low-response genotype · Scored

This sample matches the reported low-response genotype GG; this marker contributes zero favorable allele copies.Matches the reported low-response genotype GG. 0/2 favorable allele copies
MN1 rs738353CC

A high-response allele · Scored

This sample has no copies of the reported high-response allele A; this marker does not add favorable VO2max-trainability support.0 of 2 high-response allele copies. 0/2 favorable allele copies
1 measured SNP need curator resolution
CD44 rs353625CT

TBC direction · Measured, direction not scored

The SNP is measured, but the study table does not give a defendable high/low response direction for this genotype yet.The review marks this row as TBC or the allele orientation needs attended resolution.
Bouchard et al. 2011 HERITAGE VO2max trainability GWAS Williams et al. 2017 VO2max trainability systematic review
Broader systematic-review layer

Williams 2017 broader predictor-gene review layer

Partial measured subset leans toward fewer favorable training-response markers

0%

15 of 44 study rows were measured; 4 could be interpreted with the published study model. This is useful research context, not a reliable VO2max or training-potential prediction.

Coverage too low for a reliable VO2max trainability score
1
Unfavorable markers found

Matched a genotype reported as lower response in the source study.

2
Reassuring markers

A reported low-response genotype was absent, but the source does not prove the opposite is high response.

3
High-response markers absent

A reported high-response marker was checked but not present; this is not proof of low response.

9
Measured but unresolved

The SNP was present in the raw file, but the genotype direction is not safe to interpret yet.

29
Missing from raw file

The published study-panel SNP was not measured in this raw genotype file.

Measured
15/44
Review genes
97
Scored
4/15
Coverage confidence
9%
Study unit
response units

This broader layer is useful for coverage transparency and research context, but it is weaker than the HERITAGE 21-SNP predictor because the review includes many candidate-gene findings and TBC genotype directions.

Measured SNPs in this sample
RGS18 rs10921078GG

GG low-response genotype · Scored

This sample matches the reported low-response genotype GG; this is an unfavorable marker in the broader review layer.Matches the reported low-response genotype GG. 0/1 favorable response units
ACSL1 rs6552828AG

AA low-response genotype · Measured, low-response genotype absent

This sample does not match the reported low-response genotype AA; that is informative and reassuring for this marker, but the source does not prove the opposite genotype is a high-response marker.The reported low-response genotype AA is not present. This row is not converted into a high-response score in the broader review layer.
MN1 rs738353CC

A high-response allele · Scored

This sample has no copies of the reported high-response allele A; this marker does not add favorable VO2max-trainability support.0 of 2 high-response allele copies. 0/2 favorable response units
NR3C1 rs6190CC

GG low-response genotype · Measured, low-response genotype absent

This sample does not match the reported low-response genotype GG; that is informative and reassuring for this marker, but the source does not prove the opposite genotype is a high-response marker.The reported low-response genotype GG is not present. This row is not converted into a high-response score in the broader review layer.
CNTF rs1800169AG

AA high-response genotype · Scored

This sample does not match the reported high-response genotype pattern; this marker does not add favorable support, but it is not automatically a low-response marker.Does not match the reported high-response genotype pattern. 0/1 favorable response units
GSTP1 rs1695AA

GG, AG high-response genotype · Scored

This sample does not match the reported high-response genotype pattern; this marker does not add favorable support, but it is not automatically a low-response marker.Does not match the reported high-response genotype pattern. 0/1 favorable response units
9 measured SNPs need curator resolution
AMPD1 rs17602729GG

orientation unresolved · Measured, direction not scored

The SNP is measured, but the study table does not give a defendable high/low response direction for this genotype yet.The review marks this row as TBC or the allele orientation needs attended resolution.
HCG22 rs2428514GG

TBC direction · Measured, direction not scored

The SNP is measured, but the study table does not give a defendable high/low response direction for this genotype yet.The review marks this row as TBC or the allele orientation needs attended resolution.
HCG22 rs2517518CC

TBC direction · Measured, direction not scored

The SNP is measured, but the study table does not give a defendable high/low response direction for this genotype yet.The review marks this row as TBC or the allele orientation needs attended resolution.
HCG22 rs2523840GG

TBC direction · Measured, direction not scored

The SNP is measured, but the study table does not give a defendable high/low response direction for this genotype yet.The review marks this row as TBC or the allele orientation needs attended resolution.
GRIN3A rs959066GG

TBC direction · Measured, direction not scored

The SNP is measured, but the study table does not give a defendable high/low response direction for this genotype yet.The review marks this row as TBC or the allele orientation needs attended resolution.
CD44 rs353625CT

TBC direction · Measured, direction not scored

The SNP is measured, but the study table does not give a defendable high/low response direction for this genotype yet.The review marks this row as TBC or the allele orientation needs attended resolution.
CXCR5 rs4938561TT

TBC direction · Measured, direction not scored

The SNP is measured, but the study table does not give a defendable high/low response direction for this genotype yet.The review marks this row as TBC or the allele orientation needs attended resolution.
ADGRE3P/EMR4 rs7256163AA

TBC direction · Measured, direction not scored

The SNP is measured, but the study table does not give a defendable high/low response direction for this genotype yet.The review marks this row as TBC or the allele orientation needs attended resolution.
AKT1 rs1130214AC

orientation unresolved · Measured, direction not scored

The SNP is measured, but the study table does not give a defendable high/low response direction for this genotype yet.The review marks this row as TBC or the allele orientation needs attended resolution.
Williams et al. 2017 VO2max trainability systematic review

How to use this study-panel readout

  • Use a real VO2max or submaximal cardiorespiratory fitness test if performance is the question.
  • Compare the DNA readout with training history, resting heart rate, recovery, and exercise consistency.
  • Use whole-genome or clinical-grade sequencing if a complete sports-genetics panel is required.

Client Evidence Table

Pathway triage for review

This view foregrounds direction, evidence strength, matched genes/claims, and directness before the client-facing explanation.

RankPathwayDirectionScoreEvidence strengthGenes / claimsDirectnessDetails
1
Coffee / stimulantsCaffeine / stimulant sensitivity
 May increase stimulant sensitivity 0.490 Strong signal 5 genes / 7 evidence items Direct target support present

Practitioner pathway review

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.

Client-facing interpretation

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.

Evidence strength

Strong signal · Direct target support present

Estimated burden signal

This pathway contains both burden and capacity-loss blocks. The displayed score (49%) shows the stronger side in this sample: burden.

Biomarker validation

  • 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.

Review context

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. This pathway contains both burden and capacity-loss blocks. The displayed score (49%) shows the stronger side in this sample: burden.

Practitioner review prompts

  • Check whether the Caffeine / stimulant sensitivity signal matches the client history before treating it as relevant.
  • Prioritize validation with Caffeine tolerance history, sleep latency, blood pressure response before targeted practitioner action.
  • Review medications, symptoms, diet pattern, and recent illness or training load as possible non-genetic drivers.

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
 May lower lactose digestion 0.457 Strong signal 1 gene / 2 evidence items Direct target support present
3
Blood sugarGlucose
 May increase glucose strain 0.442 Strong signal 4 genes / 5 evidence items Close target support present
4
B vitaminsMethylation
 May lower B-vitamin use efficiency 0.433 Strong signal 6 genes / 6 evidence items Direct target support present
5
Stress recoveryOxidative stress
 May reduce stress-recovery capacity 0.408 Strong signal 2 genes / 2 evidence items Direct target support present
6
Gluten immune riskGluten / celiac immune risk
 May increase celiac immune risk 0.399 Strong signal 6 genes / 6 evidence items Direct target support present
7
Cholesterol / blood fatsLipids
 May reduce blood-fat clearance 0.363 Strong signal 7 genes / 8 evidence items Direct target support present
8
Food / allergy reactionsHistamine
 May slow histamine breakdown 0.312 Moderate signal 1 gene / 1 evidence item Direct target support present
9
HormonesEstrogen metabolism
 May slow estrogen clearance 0.283 Moderate signal 2 genes / 2 evidence items Direct target support present
10
CholineCholine support
 May lower choline support 0.240 Moderate signal 1 gene / 1 evidence item Direct target support present
11
Detox / cleanupSulfur / transsulfuration
 May reduce cleanup support 0.164 Moderate signal 1 gene / 1 evidence item Direct target support present
12
IronIron handling
 May increase iron-loading tendency 0.115 Limited signal 3 genes / 3 evidence items Close target support present
Important: These are structured hypotheses, not medical conclusions. The next step is validation, 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.