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.
In your report
Where Ideal Carbohydrate Intake lives inside your Genomic Lifestyle Optimization Report.
Ideal Carbohydrate Intake renders as a dark-background card with a color marker calibrated to your specific variants. The card opens with the gene mechanism, shows your result at a glance via that marker, and closes with a practical, mechanism-led recommendation — what to eat, what to time, what cofactors to support.
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.
- How does my DNA influence ideal carbohydrate intake?
- The macro ratio your biology performs best with is encoded in genes that govern carbohydrate sensitivity (PPARG, TCF7L2), saturated-fat response (APOE, APOA2), protein utilization (FTO, ACE), and fish-oil conversion (FADS1/2). One person's optimal protocol is another person's metabolic friction.
- What kind of test do I need to see my Ideal Carbohydrate Intake result?
- Whole-genome sequencing at 30× clinical depth. Consumer SNP-chip tests like 23andMe or AncestryDNA only read ~0.02% of your DNA and miss most of the variants this analysis needs. Mosaic reads all 3 billion base pairs and produces the full 108-insight report.
- How is Ideal Carbohydrate Intake different from clinical lab testing?
- Clinical labs measure downstream biomarkers — blood levels, hormone values, metabolic byproducts — at a single point in time. Genomic insights like Ideal Carbohydrate Intake reveal the underlying variant that shapes the biology, which is constant for life. The two are complementary: labs show the current snapshot; genomics shows the long-term tendency and where lifestyle leverage is highest.
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One test. 108 personalized findings. All yours.
Order your Mosaic kit. Receive your raw genomic data and the full Genomic Lifestyle Optimization Report in 15–20 days.