Weight & metabolism DNA · GxSlim
Why the same diet works for your friend and not for you.
GxSlim reads the genes tied to metabolism, appetite, how you burn fat and carbs, and how you respond to cardio, so your plan starts from your biology instead of a guess.
Home cheek-swab kit $329 · Already have 23andMe or Ancestry data? Upload for $219 · Add more reports from $50
Every order includes a results review with a Lab Testing Solutions health broker. We are health brokers, not a web store.
Every order includes a results review with a Lab Testing Solutions health broker. We are health brokers, not a web store.
What GxSlim looks at
Weight
Metabolism
LEPR, CHRNA3, CRY2Weight-loss tendency
FTO, TCF7L2, MTNR1B, PPARG, BDNFWeight regain
FTO, PPARG, BDNF, NEGR1, TMEM18Satiety (feeling full)
FTOFood
Fat utilization
PPARG, TCF7L2, APOA5, CRY2Carb utilization
IRS1Protein utilization
FTOSweets preference
FGF21, SLC2A2Caffeine metabolism
AHRGluten sensitivity markers
HLAExercise
Fat loss from cardio
ADRB2, LPLFitness response to cardio
AMPD1, APOEHDL response to cardio
APOEInsulin sensitivity response
LIPCNutrients
Vitamin A, B12, folate, C, D tendencies
BCMO1, FUT2, MTHFR, SLC23A1, GCGenes listed are examples from the GxSlim sample report by our lab partner, Genetic Direction.
Who it’s for
- You have tried several diets and none stuck
- You regain weight after losing it
- You want to know whether to lean toward lower-carb or lower-fat
- You and your clinician want a starting point beyond calories in, calories out
How we use it
- We match food structure to your fat and carb utilization results.
- We set cardio vs strength emphasis from your exercise-response genes.
- We plan for regain risk from day one (protein, sleep, steady routines).
- We re-check progress at 8–12 weeks and adjust; genes are the starting point, not the finish line.
What the science says, and what it doesn’t
- FTO is the best-replicated common gene linked to body weight; carriers of the risk variant weigh more on average (Frayling et al., Science 2007).
- Genes are one input. In the DIETFITS trial, a simple genotype pattern did not predict who did better on low-fat vs low-carb (Gardner et al., JAMA 2018). We use results to personalize, not to promise.
- Caffeine metabolism varies with AHR and CYP1A2 variants (Cornelis et al., PLoS Genetics 2011).
Sources
Frayling TM et al. A common variant in FTO is associated with body mass index. Science, 2007
Gardner CD et al. Effect of low-fat vs low-carbohydrate diet on 12-month weight loss (DIETFITS). JAMA, 2018
Cornelis MC et al. Genome-wide meta-analysis identifies regions on 7p21 (AHR) and 15q24 (CYP1A2) as determinants of habitual caffeine consumption. PLoS Genetics, 2011
Frayling TM et al. A common variant in FTO is associated with body mass index. Science, 2007
Gardner CD et al. Effect of low-fat vs low-carbohydrate diet on 12-month weight loss (DIETFITS). JAMA, 2018
Cornelis MC et al. Genome-wide meta-analysis identifies regions on 7p21 (AHR) and 15q24 (CYP1A2) as determinants of habitual caffeine consumption. PLoS Genetics, 2011
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Lab Testing Solutions · Watkinsville, GA · info@labtestingsolutions.com · Lab: Genetic Direction. Wellness education reports, not a medical diagnosis. Talk to your clinician before changing medications or starting high-dose supplements.