Study Protocol for the Interactions between Dietary Patterns and ARL15 and ADIPOQ Genes Polymorphisms on Cardiometabolic Risk Factors

Cardiovascular diseases (CVDs) are recognized as one of the leading causes of death worldwide. Studies have shown the impact of genetic predisposition and dietary factors on developing these diseases. Dietary patterns and genetic factors such as polymorphisms related to the level of adiponectin may also interact with each other and produce variances in the effects of these factors on different individuals. The purpose of this study is to investigate the interactions between food intake patterns and polymorphisms on and genes in relation to cardiometabolic risk factors. This cross-sectional study is conducted on 380 adults (20 to 70 years old) living in Yazd, Iran. Individuals were selected from the participants in Yazd Health Study (YaHS) and its sub-study called Taghziyeh Mardom-e Yazd (TAMYZ) after reviewing the inclusion and exclusion criteria. YaHS is a population-based cohort study which has been conducted on 9962 adults living in Yazd since 2014. In the present study, rotated principle component analysis (PCA) with Varimax rotation is used to identify the major dietary patterns. The polymerase chain reaction-restricted fragment length polymorphism (PCR-RFLP) method is used in order to identify rs1501299 and rs6450176 variants (on and genes, respectively). General linear models (GLM) as well as regression models are used to investigate the interactions between the studied genotypes and the extracted dietary patterns. The results of this study can help to personalize dietary recommendations for the prevention of CVDs according to the genetic predisposition of individuals.