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Mosaic Biodata

Ideal Carbohydrate Intake

Your genes determine whether you thrive on 45–65% carbs or feel better under 30%. Matching intake to your insulin sensitivity and carbohydrate metabolism keeps energy stable and weight easier to manage—without forcing a diet philosophy that doesn't fit your biology.

What this measures

How your DNA shapes ideal carbohydrate intake.

How well a body handles carbohydrates depends on a network: insulin signaling (TCF7L2, IRS1), glucose transport (SLC2A2), fat oxidation (PPARG, ADRB2), and circadian regulation (CLOCK, MTNR1B) all interact to set the metabolic response to a given carb load. There’s no single "carb gene" — the answer comes from how the network reads collectively.

Carriers of clusters of variants in TCF7L2, PPARG, and SLC2A2 are associated with reduced carbohydrate tolerance — higher post-meal glucose, faster fat storage, and stronger benefit from lower-carb patterns. Carriers of typical-function networks are associated with broader carbohydrate latitude; high-carb patterns work fine without metabolic penalty.

Meal sequencing matters: vegetables and protein before refined carbs blunts glucose response. Walking ten minutes after a meal reduces the post-prandial peak in nearly all variant patterns. Resistance training raises insulin-independent glucose disposal. Sleep is the multiplier — under-slept clients show worse glucose responses to the same meal regardless of variant.

The "I do better low-carb" and "I feel best eating a lot of carbs" experiences aren’t both equally true at the level of biochemistry. Which network you carry decides whether the macro split you’ve drifted into matches your wiring — or whether tuning it is the missing variable.

Ideal Carbohydrate Intake is one specific finding in this system. Your Genomic Lifestyle Optimization Report shows where your variants place you on the macronutrients and metabolic optimization spectrum — and what you can do about it: it renders as a dark card with a color marker calibrated to your variants, opening with the gene mechanism and closing with a practical, mechanism-led recommendation.

Want to see what a real Mosaic dark card looks like? Walk through a sample report →

In context

Carbohydrates: the 2-insight cluster.

Ideal Carbohydrate Intake is one finding in a tightly-related cluster. Mosaic sequences the other 1 alongside it so you see the whole biology — not an isolated data point.

Questions people ask

About Ideal Carbohydrate Intake.

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