Do you ever wonder which diet is right for your patient? Or what exercise routine they should start with? There is a better way!
Kashi’s Weight Management Panel has taken the guesswork out of determining the right plan by going straight to your genetics for the answers. Our test provides analysis of genes highly associated with weight gain and elevated body mass index (BMI). Using your results, we offer dietary and lifestyle recommendations that are scientifically supported to help get the fastest results without all the trial-and-error of dieting.
The Weight Management Panel Delivers:
- Specific diet recommendations such as a Mediterranean diet, low fat diet, low carbohydrate diet, etc.
- Key tips to help ward off cravings and keep your patient feeling full while they lose weight
- Better insights as to why your patient might be overweight
- Dial-in proper macronutrient proportions that lead to weight loss
- Make the most out of workouts with specific physical activity recommendations
Diet and exercise programs are critical to weight management success. However with an abundance of plans to choose from, the trial and error period can lead to frustration. For many, a personalized weight management strategy tailored to their genetic code can make a significant impact.
The Kashi Health Weight Management Genetic Panel uses the latest findings in scientific research to inform patients about how their specific genes influence their bodyweight, and perhaps more importantly, which types of weight management strategies are the most likely to be effective considering their specific genetic background. The Kashi Health Weight Management Genetic Panel addresses the obstacles of weight loss through personalized dietary, physical activity and lifestyle recommendations.
Ideal Candidates are Patients with the Following Symptoms and Complaints:
- Poor Results From Prior Dietary Changes
- Frequent Cravings and Over-eating
- Sedentary Lifestyle
- Persistent Weight Gain
- High BMI (>25)
- Weight Gain In The Stomach, Hips And Thighs
Genetic Markers Included in the Weight Management Panel
|GENETIC MARKER||IMPACT ON WEIGHT MANAGEMENT|
|FTO||Appetite Regulation, Calorie Intake, Frequent Cravings|
|MC4R||Appetite Regulation, Carbohydrate Digestion, Metabolism Regulation, Insulin Regulation|
|FABP2||Dietary Fat Sources, Fat Utilization, Metabolism Regulation, Insulin Regulation|
|ADRB2||Physical Activity, Carbohydrate Digestion, Insulin Regulation|
|SH2B1||Leptin Production, Carbohydrate Cravings, Insulin Regulation|
The Science Behind the Test
The Kashi Health Weight Management Genetic Panel is designed to determine each client's specific genetic background at a series of locations within their genetic material. The genetic material of each individual (referred to as their genome) contains over 3 billion base-pairs that are made up of the four nucleotides: G, C, T and A. At any given location in the genome each person has two copies of genetic material, with one copy inherited from each parent. Within the 3 billion base-pairs roughly 99.9% are the same among all individuals, yet the variation in the remaining 0.1% of base-pairs drives inter-personal diversity in characteristics such as hair color, height, intelligence, and athletic ability to name only a few. Scientists are finding that it is this genetic variation that also impacts how our bodies store and metabolize extra weight.
The Kashi Health Weight Management Genetic Panel is based on analyzing genetic variations called Single Nucleotide Polymorphisms, or SNPs. Each SNP represents a location in the genome where common differences exist in the make-up of a single nucleotide. These classes of variations are referred to as different "alleles" of the same gene or genomic location. If one allele is less commonly observed than the other allele, it is referred to as the variant allele. In most cases, the variant allele is considered the high risk allele, which is a term that is used to describe any genetic variation that is connected to an adverse health outcome. If you possess this variant allele, then you would be known as a carrier of the risk allele. The Kashi Health Weight Management Genetic Panel test is centered on analyzing client genomes at specific locations of known SNPs to determine if they have particular alleles that are linked to weight management.
How are the Genetic Markers Selected?
Kashi Health is extremely selective when creating its unique weight management genetic panel. Each genetic marker within the human genome is carefully researched by doctoral-level scientists to ensure that only the most informative genetic markers with a well-established impact are included in every panel. Inclusion of each marker is based on the following criteria:
1. A reported connection with body mass index in a nationally recognized peer-reviewed journal;
2. An established connection with metabolism, fat storage, nutrient absorption, or another physiologically-important affiliation with weight management;
3. The variant allele of each marker is present in at least 10 percent of the population or is associated with a medical implication that has been well established by the scientific community;
4. Evidence of the marker being associated with a health outcome in multiple publications and in individuals of varying ethnicities.
Extensive Patient Report in 5 Business Days
The Kashi Health Weight Management Genetic Panel includes current health statistics matched with personalized goals, a weight management genetic profile, dietary and exercise recommendations tailored to the patient with interactive online tools. Our results are guaranteed within five business days of the specimen receipt.
Get Started Today
Make Kashi Health's Genetic Testing Part of your Patient's Treatment Plan.
- Loos RJF et al. Common variants near MC4R are associated with fat mass, weight and risk of obesity. Nature Genetics. 2008;40:768-775.
- Frayling TM et al. A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science. 2007; 316: 889–894.
- Masuo K et al. Relationships of Adrenoreceptor Polymorphisms with Obesity. Journal of Obesity. 2011.
- Bauer F et al. Obesity genes identified in genome-wide association studies are associated with adiposity measures and potentially with nutrient-specific food preference. American Journal of Clinical Nutrition. 2009; 90: 951-959.
- Baier LJ et al. An amino acid substitution in the human intestinal fatty acid binding protein is associated with increased fatty acid binding, increased fat oxidation, and insulin resistance. J Clin Invest.1995;95:1281-1287.
- Jaaskelainen A et al. Meal Frequencies Modify the Effect of Common Genetic Variants on Body Mass Index in Adolescents of the Northern Finland Bith Cohort 1986. PLOS One. 2013; 8:9: e73802.