Dieting: A genetic approach

Genetic studies show that only 22% of us will benefit significantly from low-fat food restriction, with the alternative low-carb giving an advantage to 29% of the population. Given the vast differences between these types of diets, genetic analysis can help us overcome uncertainty about how to lose weight.

Sample results on optimal genetic diet composition

Nutrition suddenly becomes important when we begin to age and start becoming dissatisfied with not just our appearance but also how we feel. Thinking about carbs fats and proteins begins to have meaning. But it also becomes complex — specifics like glycemic index, intermittent fasting or calorie-cycling start to bring confusion into our sudden burst of clarity. Many philosophies on diet are anecdotal and lack empirical evidence to back them up. And worst of all, there’s information from a reliable friend of a friend that the blood type diet works like magic — a dis-proven hypothesis that will just waste your time and energy. Simple low-calorie, Mediterranean, or Asian diets? Vegetarian? Paleo? New Beverly Hills? Or straight to the hardcore Master Cleanse?

Unless you are blessed like Jennifer Lopez to have a team working just to keep you fit, diet choice is limited to intuition.

Some of the studies used to find optimal prots/carbs balance

But here’s the good news: while working on one complex algorithm, our research team developed a product to help you understand which diet will work best for you. Based on genetic predispositions, 29% of people lose weight best on low-carb diet, 22% on low-fat, while the other 4% and 5% benefit most from marginal variations of each. A simple balanced diet fits the remaining 40%. The core of our methodology is the combination of quantitative results of a number of A-level studies: all possible genetic outcomes for low-fat vs low-carb distribution were iterated. The research is based only on empirical calculations and the allele frequencies of a population.

The same approach is used to understand high-protein/low-protein diets, and MUFA/PUFA balance. Slight adjustments on fiber and sodium intake are taken into consideration, and all data obtained is loaded into the proprietary decision making system based on fuzzy logic. The engine further proceeds to analyze the micronutrient balance and predispositions, gastronomical ancestry, tolerance to food types, etc. For more details, check out the DNA Lifestyle Coach genetic test.