Determination of correlations between polygenic risk scores of 40 traits and actual outcomes

Scientifically validated methods to calculate the health risks of an individual, such as polygenic risk scores, readily exist, but the public is not benefiting from these as they is not applied beyond research. We focus on making personalized genomics directly accessible to the public by delivering actionable results, which are aimed at improving their health and lifestyle and ultimately their well-being. We will employ scientific methods to assess the health risks of individuals, based genetic profiling, blood and urine measurements (approximately 40 biomarkers), physical assessment, AGE reader measurement (measurement of clogging of arteries), a questionnaire and heart monitoring during a cycling fitness exercise. Based on the individuals health risks, dietary and life style recommendations are made. We will make this available to the public allowing our society to stay healthy in a personalized optimal way. 

Specifically, in this project we intend to calculate polygenic scores for approximately  40 traits; susceptibility to e.g. high insulin levels, obesity, clogging of arteries (cholesterol levels, AGE readout, see also the application of drs. C. Vollenbrock), which we then use in combination with the other data to determine if any dietary and life style adjustments should be made. For example, an individual with relatively high cholesterol levels that is also genetically inclined to suffer from high cholesterol levels will be recommended a diet and medication that will reduce his cholesterol levels. Another example, if an individual is genetically prone to develop diabetes and uses a high sugar diet, a low sugar diet will be recommended, with the advice to monitor insulin levels on a 3 monthly interval basis. The aim is to prevent disease, rather than curing it, for which purpose the genetic data is uniquely suited.