Sample DNA Pathway Follow-Up Report

Summary

Top follow-up priorities

Start with the pathways most worth validating first. Detailed SNP evidence stays lower on the page.

Methylation

High follow-up priority

MTHFR is the main contributor in this section based on the current sample, making methylation the clearest area to validate next. Additional context comes from SHMT1, MTRR, BHMT.

What to validate next

Homocysteinemethylmalonic acidfolate

Glucose

High follow-up priority

TCF7L2 is the main contributor in this section based on the current sample, making glucose the clearest area to validate next. Additional context comes from IRS1, LEPR, ADIPOQ.

What to validate next

Fasting insulinfasting glucoseHbA1c

Histamine

Moderate follow-up priority

HNMT is the main contributor in this section based on the current sample, making histamine the clearest area to validate next. Additional context comes from DAO, FUT2.

What to validate next

Plasma histamineDAO activitytryptase

Recommended validation markers

Homocysteinemethylmalonic acidfolateFasting insulinfasting glucoseHbA1cPlasma histamineDAO activitytryptase

What not to overreact to

Genes that do not currently contribute are reviewed separately and kept out of the main decision layer.
Unscored or missing variants are shown only in the evidence appendix and are not treated as equal to directional findings.
Background-context pathways should matter only if biomarkers or symptoms support them in practice.

Pathway

Methylation

High follow-up priority

What this may suggest

This sample shows a concentrated pattern of methylation-related signals, led by MTHFR and supported by SHMT1, MTRR, BHMT.

Why it surfaced

MTHFR is the main contributor in this section based on the current sample, making methylation the clearest area to validate next. Additional context comes from SHMT1, MTRR, BHMT.

What to validate

Homocysteinemethylmalonic acidfolate

How strongly to care

Worth early follow-up because the signal is concentrated, biologically coherent, and directly testable.

Analyst Layer

Main contributing genes

Learn more about Methylation

Gene	Contribution	Confidence	Why it matters
MTHFR	Primary driver	High	Multiple SNPs on MTHFR contribute the clearest directional support to the Methylation pathway, making this gene one of the stronger drivers in this section. Most useful validation markers: Homocysteine, methylmalonic acid, folate.
SHMT1	Supporting driver	Medium	SHMT1 adds supporting context within the Methylation pathway and should be interpreted alongside the stronger genes in the pathway. Most useful validation markers: Homocysteine, methylmalonic acid, folate.
MTRR	Supporting driver	Medium	MTRR adds supporting context within the Methylation pathway and should be interpreted alongside the stronger genes in the pathway. Most useful validation markers: Homocysteine, methylmalonic acid, folate.
BHMT	Supporting driver	Medium	BHMT adds supporting context within the Methylation pathway and should be interpreted alongside the stronger genes in the pathway. Most useful validation markers: Homocysteine, methylmalonic acid, folate.

Evidence appendix

MTHFR

Primary driver · High confidence

Gene page Related pathway note

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs1801131 (A1298C)	GT	Decrease signal	Strong evidence	Secondary folate-cycle variant often reviewed alongside C677T. Best interpreted with pathway context and the recommended validation markers.
rs4846051 (MTHFR supporting signal)	AA	Increase signal	Supporting evidence	Additional reviewed variant used to widen gene-level interpretation. Best interpreted with pathway context and the recommended validation markers.
rs1801133 (C677T)	AG	Decrease signal	Weak evidence	Common folate-conversion variant used in methylation interpretation. Best interpreted with pathway context and the recommended validation markers.

Other reviewed variants

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs2066470 (MTHFR regulatory signal)	GG	No interpreted effect in this sample	Not detected	Reviewed for absence only. It does not currently help explain the pathway signal.

SHMT1

Supporting driver · Medium confidence

Gene page Related pathway note

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs1979277 (SHMT1 C1420T)	AG	Increase signal	Supporting evidence	Frequently reviewed SHMT1 variant in one-carbon metabolism. Best interpreted with pathway context and the recommended validation markers.

Other reviewed variants

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs9909104 (SHMT1 supporting signal)	Missing	Variant missing from upload	Missing in upload	This variant was not available in the uploaded file.

MTRR

Supporting driver · Medium confidence

Gene page Related pathway note

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs1801394 (A66G)	GG	Decrease signal	Supporting evidence	Commonly reviewed MTRR variant affecting B12 recycling context. Best interpreted with pathway context and the recommended validation markers.

Other reviewed variants

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs162036 (MTRR supporting signal)	AA	No interpreted effect in this sample	Not detected	Reviewed for absence only. It does not currently help explain the pathway signal.
rs1532268 (MTRR supporting signal)	CT	No directional interpretation assigned yet	Unscored	Keep as supporting context only until a directional interpretation is assigned.

BHMT

Supporting driver · Medium confidence

Gene page Related pathway note

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs3733890 (BHMT-742G>A)	AA	Decrease signal	Supporting evidence	Common BHMT variant used in methylation backup-pathway review. Best interpreted with pathway context and the recommended validation markers.

Other reviewed variants

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs651852 (BHMT supporting signal)	CC	No interpreted effect in this sample	Not detected	Reviewed for absence only. It does not currently help explain the pathway signal.
rs567754 (BHMT supporting signal)	CC	No interpreted effect in this sample	Not detected	Reviewed for absence only. It does not currently help explain the pathway signal.

Reviewed but not driving

TCN2

Reviewed, not contributory

This gene was reviewed, but it does not currently drive the pathway-level interpretation in this sample.

PEMT

Reviewed, not contributory

This gene was reviewed, but it does not currently drive the pathway-level interpretation in this sample.

COMT

Reviewed, not contributory

This gene was reviewed, but it does not currently drive the pathway-level interpretation in this sample.

CBS

Reviewed, not contributory

This gene was reviewed, but it does not currently drive the pathway-level interpretation in this sample.

Pathway

Glucose

High follow-up priority

What this may suggest

This sample shows a concentrated pattern of glucose-related signals, led by TCF7L2 and supported by IRS1, LEPR, ADIPOQ.

Why it surfaced

TCF7L2 is the main contributor in this section based on the current sample, making glucose the clearest area to validate next. Additional context comes from IRS1, LEPR, ADIPOQ.

What to validate

Fasting insulinfasting glucoseHbA1c

How strongly to care

Worth early follow-up because the signal is concentrated, biologically coherent, and directly testable.

Analyst Layer

Main contributing genes

Learn more about Glucose

Gene	Contribution	Confidence	Why it matters
TCF7L2	Supporting driver	Medium	TCF7L2 adds supporting context within the Glucose pathway and should be interpreted alongside the stronger genes in the pathway. Most useful validation markers: Fasting insulin, fasting glucose, HbA1c.
IRS1	Supporting driver	Low	IRS1 adds supporting context within the Glucose pathway and should be interpreted alongside the stronger genes in the pathway. Most useful validation markers: Fasting insulin, fasting glucose, HbA1c.
LEPR	Minor contributor	Low	LEPR adds minor context to the Glucose pathway, but it does not drive the pathway on its own. Most useful validation markers: Fasting insulin, fasting glucose, HbA1c.
ADIPOQ	Minor contributor	Low	ADIPOQ adds minor context to the Glucose pathway, but it does not drive the pathway on its own. Most useful validation markers: Fasting insulin, fasting glucose, HbA1c.

Evidence appendix

TCF7L2

Supporting driver · Medium confidence

Gene page Related pathway note

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs7903146 (TCF7L2 primary signal)	TT	The best-known TCF7L2 glucose-regulation signal. Commonly tracked as higher glucose-dysregulation risk in pathway-based reviews.	Supporting evidence	Most common TCF7L2 SNP used in glucose-regulation genetics. Best interpreted with pathway context and the recommended validation markers.
rs12255372 (TCF7L2 supporting signal)	GT	Supporting TCF7L2 signal frequently reviewed with rs7903146 in glucose-handling interpretation.	Weak evidence	Supporting TCF7L2 SNP often reviewed with rs7903146. Best interpreted with pathway context and the recommended validation markers.

IRS1

Supporting driver · Low confidence

Gene page Related pathway note

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs2943641 (IRS1 insulin-response signal)	CC	Commonly tracked as lower insulin-signaling efficiency relative to the alternate allele. Best treated as a glucose-handling follow-up signal.	Weak evidence	Frequently reviewed IRS1 SNP for insulin signaling context. Best interpreted with pathway context and the recommended validation markers.
rs7578326 (IRS1 supporting signal)	AA	Supporting IRS1 signal sometimes associated with weaker insulin-response handling. Use as a secondary directional hint only.	Weak evidence	Supporting IRS1 SNP for broader glucose-handling review. Best interpreted with pathway context and the recommended validation markers.

LEPR

Minor contributor · Low confidence

Gene page Related pathway note

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs1137101 (Q223R)	GG	Common LEPR variant often tracked as lower satiety efficiency or higher leptin-resistance tendency. Interpret as an appetite-regulation hint.	Weak evidence	Common LEPR SNP used in satiety and leptin-response interpretation. Best interpreted with pathway context and the recommended validation markers.

Other reviewed variants

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs1137100 (K109R)	Missing	Variant missing from upload	Missing in upload	This variant was not available in the uploaded file.

ADIPOQ

Minor contributor · Low confidence

Gene page Related pathway note

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs1501299 (ADIPOQ +276G>T)	GT	Commonly tracked as lower adiponectin support relative to the alternate allele. Use cautiously as a metabolic-flexibility hint.	Weak evidence	Common adiponectin-related SNP used in insulin-sensitivity context. Best interpreted with pathway context and the recommended validation markers.

Other reviewed variants

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs2241766 (ADIPOQ +45T>G)	TT	No interpreted effect in this sample	Not detected	Reviewed for absence only. It does not currently help explain the pathway signal.

Reviewed but not driving

FTO

Reviewed, not contributory

This gene was reviewed, but it does not currently drive the pathway-level interpretation in this sample.

Pathway

Histamine

Moderate follow-up priority

What this may suggest

This sample shows a concentrated pattern of histamine-related signals, led by HNMT and supported by DAO, FUT2.

Why it surfaced

HNMT is the main contributor in this section based on the current sample, making histamine the clearest area to validate next. Additional context comes from DAO, FUT2.

What to validate

Plasma histamineDAO activitytryptase

How strongly to care

Worth checking after the strongest pathways, especially if symptoms or existing labs point in the same direction.

Analyst Layer

Main contributing genes

Learn more about Histamine

Gene	Contribution	Confidence	Why it matters
HNMT	Minor contributor	Low	HNMT adds minor context to the Histamine pathway, but it does not drive the pathway on its own. Most useful validation markers: Plasma histamine, DAO activity, tryptase.
DAO	Minor contributor	Low	DAO adds minor context to the Histamine pathway, but it does not drive the pathway on its own. Most useful validation markers: Plasma histamine, DAO activity, tryptase.
FUT2	Minor contributor	Low	FUT2 adds minor context to the Histamine pathway, but it does not drive the pathway on its own. Most useful validation markers: Plasma histamine, DAO activity, tryptase.

Evidence appendix

HNMT

Minor contributor · Low confidence

Gene page Related pathway note

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs1050891 (HNMT supporting signal)	AA	Supporting HNMT signal sometimes used in broader histamine and methylation-overlap interpretation.	Weak evidence	Supporting HNMT SNP for broader histamine review. Best interpreted with pathway context and the recommended validation markers.

Other reviewed variants

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs11558538 (Thr105Ile)	CC	No interpreted effect in this sample	Not detected	Reviewed for absence only. It does not currently help explain the pathway signal.

DAO

Minor contributor · Low confidence

Gene page Related pathway note

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs1049793 (DAO supporting signal)	CG	Supporting DAO signal commonly grouped into reduced clearance discussions. Best interpreted with symptoms and exposure context.	Weak evidence	Additional DAO SNP used in histamine-related review. Best interpreted with pathway context and the recommended validation markers.

Other reviewed variants

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs2052129 (DAO regulatory signal)	GG	No interpreted effect in this sample	Not detected	Reviewed for absence only. It does not currently help explain the pathway signal.
rs1049742 (DAO supporting signal)	Missing	Variant missing from upload	Missing in upload	This variant was not available in the uploaded file.
rs10156191 (DAO supporting signal)	CC	No interpreted effect in this sample	Not detected	Reviewed for absence only. It does not currently help explain the pathway signal.

FUT2

Minor contributor · Low confidence

Gene page Related pathway note

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs602662 (FUT2 supporting signal)	AG	Supporting FUT2 signal used in secretor-status and gut-context interpretation. Treat as a secondary histamine-context signal.	Weak evidence	Supporting FUT2 SNP for broader gut-related context. Best interpreted with pathway context and the recommended validation markers.

Other reviewed variants

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs601338 (Secretor-status signal)	Missing	Variant missing from upload	Missing in upload	This variant was not available in the uploaded file.

Pathway

Lipids

Background context

What this may suggest

This sample shows a concentrated pattern of lipids-related signals, led by ADIPOQ.

Why it surfaced

ADIPOQ is the main contributor in this section based on the current sample, making lipids the clearest area to validate next.

What to validate

ApoBtriglyceridesLDL-C

How strongly to care

Useful for context, but not something to act on early unless other evidence pushes it up the list.

Analyst Layer

Main contributing genes

Learn more about Lipids

Gene	Contribution	Confidence	Why it matters
ADIPOQ	Minor contributor	Low	ADIPOQ adds minor context to the Lipids pathway, but it does not drive the pathway on its own. Most useful validation markers: ApoB, triglycerides, LDL-C.

Evidence appendix

ADIPOQ

Minor contributor · Low confidence

Gene page Related pathway note

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs1501299 (ADIPOQ +276G>T)	GT	Commonly tracked as lower adiponectin support relative to the alternate allele. Use cautiously as a metabolic-flexibility hint.	Weak evidence	Adiponectin-related SNP often reviewed in lipid and insulin context. Best interpreted with pathway context and the recommended validation markers.

Other reviewed variants

Variant	Your genotype	Interpreted effect	Evidence strength	Practical note
rs2241766 (ADIPOQ +45T>G)	TT	No interpreted effect in this sample	Not detected	Reviewed for absence only. It does not currently help explain the pathway signal.

Reviewed but not driving

PPARG

Reviewed, not contributory

This gene was reviewed, but it does not currently drive the pathway-level interpretation in this sample.

PPARA

Reviewed, not contributory

This gene was reviewed, but it does not currently drive the pathway-level interpretation in this sample.

APOE

Reviewed, not contributory

This gene was reviewed, but it does not currently drive the pathway-level interpretation in this sample.

Interpretation guardrail

Use the report to decide what deserves follow-up

How to use it

Start with the top pathway, validate the recommended markers, and only then decide whether the genetic signal matters in practice.

What to ignore for now

Do not treat collapsed background context, absent variants, or unscored rows as equal to the main pathway drivers.

This report is educational and not medical advice.
Pathway summaries aggregate gene-level signals, and gene summaries aggregate SNP-level evidence.
Clinical decisions should be validated with biomarkers and a licensed clinician.

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