Nutrigenomics is the study of how genetic variation may interact with diet, nutrient status, and related biomarkers.
Why it appears in personalization
Nutrigenomics can help frame questions about why two users with similar diets or stacks might show different markers. It is most useful when paired with logs, diet pattern, lab data, and evidence tier, not when used as a direct matching system.
What counts as a reasonable use
A reasonable use is hypothesis generation. A genotype might suggest watching a marker more closely, comparing forms carefully, or interpreting a weak response with more caution. It should not tell a user that one food, diet, or supplement is required.
Where claims get too strong
Commercial reports often turn association data into personalized certainty. That can make weak findings look like rules. For supplement planning, the safer frame is the same one used for ingredient metadata: identify the claim, check the evidence, compare it with the user's real measurements, and keep uncertainty visible.
Relation to biomarkers
Many nutrigenomic claims become more useful only when tied to a blood biomarker panel. A gene-diet hypothesis without a marker or observed outcome is usually too thin to move ranking confidence.
How this appears in Unfair
Unfair can treat nutrigenomic information as optional profile context. It may shape wording, monitoring prompts, or personalization weight only when it agrees with higher-quality signals from logs, labs, safety context, and goals.
Safety note
Nutrigenomic reports should not be used to self-treat abnormal labs, medication side effects, pregnancy-related needs, or persistent symptoms.