What is the ADIPOQ gene?
ADIPOQ influences adiponectin-related signaling, which helps shape insulin sensitivity, fatty-acid handling, and broader metabolic flexibility.
How ADIPOQ affects metabolism
If ADIPOQ-related signaling is less favorable, the system may become less resilient around insulin response and fat handling. That can make metabolism feel less forgiving under stress or inconsistent habits.
What happens when ADIPOQ is altered
Altered ADIPOQ function does not create a diagnosis on its own, but it can make insulin-sensitivity follow-up more relevant than generic body-composition advice.
Curated SNP evidence for ADIPOQ
These SNPs come from the approved study-level evidence model. Each claim is scored from curated study rows, then gated before it can influence pathway scoring.
Evidence-backed report connection
ADIPOQ currently has 2 curated SNPs, 6 claim-level scores, and 0 claims eligible for pathway scoring.
Open the sample reportrs1501299ADIPOQ +276G>T, ADIPOQ supporting signal3 claims · 12 study rows
unknown · GG
ADIPOQ unscored target
rs1501299 GG has no scored directional claim for ADIPOQ unscored target.
ADIPOQ rs1501299 has been studied with adiponectin and metabolic markers, but the current evidence is not consistent enough for a directional end-user genotype effect.
Show study evidence
unknown · GT
ADIPOQ unscored target
rs1501299 GT has no scored directional claim for ADIPOQ unscored target.
ADIPOQ rs1501299 has been studied with adiponectin and metabolic markers, but the current evidence is not consistent enough for a directional end-user genotype effect.
Show study evidence
unknown · TT
ADIPOQ unscored target
rs1501299 TT has no scored directional claim for ADIPOQ unscored target.
ADIPOQ rs1501299 has been studied with adiponectin and metabolic markers, but the current evidence is not consistent enough for a directional end-user genotype effect.
Show study evidence
rs2241766ADIPOQ +45T>G, ADIPOQ supporting signal3 claims · 12 study rows
unknown · GG
ADIPOQ unscored target
rs2241766 GG has no scored directional claim for ADIPOQ unscored target.
ADIPOQ rs2241766 has been associated with adiponectin, glycemic, and metabolic-syndrome findings in some settings, but the evidence is too context-dependent for a simple directional end-user effect.
Show study evidence
unknown · GT
ADIPOQ unscored target
rs2241766 GT has no scored directional claim for ADIPOQ unscored target.
ADIPOQ rs2241766 has been associated with adiponectin, glycemic, and metabolic-syndrome findings in some settings, but the evidence is too context-dependent for a simple directional end-user effect.
Show study evidence
unknown · TT
ADIPOQ unscored target
rs2241766 TT has no scored directional claim for ADIPOQ unscored target.
ADIPOQ rs2241766 has been associated with adiponectin, glycemic, and metabolic-syndrome findings in some settings, but the evidence is too context-dependent for a simple directional end-user effect.
Show study evidence
Common symptoms people report
- metabolic resilience that feels lower than expected
- weight and glucose patterns that drift together
- sluggish response to routine nutrition clean-up
- concern that insulin sensitivity may not be ideal
Biomarkers to validate
Fasting insulin
Useful for checking whether insulin-related pressure is already visible.
Triglycerides
Adds context when insulin sensitivity and lipid handling overlap.
HbA1c
Helpful for longer-term glucose context.
Where DNA analysis helps
DNA can show whether insulin-sensitivity pathways deserve more attention before generic weight-management advice is treated as enough.
Example Insight
Your insulin-sensitivity pathway may deserve follow-up because adiponectin-related signaling looks less robust than expected.
Suggested validation: fasting insulin and triglycerides.
What to do next
- Use fasting insulin and triglycerides to check whether the pathway is showing up in practice.
- Compare ADIPOQ with IRS1 and PPARG when metabolic resilience seems lower than expected.
- Use the gene as prioritization, not as a conclusion.
Upload your DNA file and receive a structured metabolic pathway analysis with prioritized insights and suggested validation markers.
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