Nutritional habits, lifestyle, and genetic predisposition in cardiovascular and metabolic traits in Turkish population

摘要: Abstract Objectives Cardiovascular and metabolic traits (CMT) are influenced by complex interactive processes including diet, lifestyle, genetic predisposition. The present study investigated the interactions of these risk factors in relation to CMTs Turkish population. Methods We applied bootstrap agglomerative hierarchical clustering Bayesian network learning algorithms identify causative relationships among genes involved different biological mechanisms (i.e., lipid metabolism, hormone cellular detoxification, aging, energy metabolism), lifestyle physical activity, smoking behavior, metropolitan residency), anthropometric body mass index, fat ratio, waist-to-hip ratio), dietary habits daily intakes macro- micronutrients) health conditions blood parameters). Results identified significant correlations between (soybean vitamin B12 intakes) cardiometabolic diseases that were confirmed network-learning algorithm. Genetic contributed disease risks also through pleiotropy some variants F5 rs6025 MTR rs180508). However, we observed certain associations indirect since they due (e.g., APOC3 rs5128 is associated with low-density lipoproteins cholesterol and, extension, total cholesterol). Conclusions Our a novel approach integrate various sources information dissect related CMTs. data indicated networks present: exist affected (with pleiotropic non-pleiotropic effects) habits.