Lipid metabolism genetic risk score interacts with the Brazilian Healthy Eating Index Revised and its components to influence the odds for dyslipidemia in a cross-sectional population-based survey in Brazil

Abstract

Background: Dyslipidemia can be influenced by genetic and dietary risk factors. Aim: This study set out to investigate diet and genetic variations in Brazilian people in a cross-sectional population-based survey and to analyze the relationship between single nucleotide polymorphisms (SNPs) of genes involved in lipid metabolism and cardiometabolic-related phenotypes using a genetic risk score (GRS). Methods: We recruited 228 adults (mean age 36.5 years) who participated in the Health Survey of São Paulo (HS-SP), Brazil. Clinical and anthropometric parameters, as well as the interaction between the GRS and the Brazilian Healthy Eating Index Revised (BHEI-R) were evaluated. We analyzed the relationship between SNPs in APOA5 (rs662799), APOB (rs693, rs1367117), LDLR (rs688, rs5925) and LIPC (rs2070895, rs1800588) and cardiometabolic-related phenotypes using a GRS. Results: High-density lipoprotein cholesterol (HDLC) levels were associated with the BHEI-R ( p=0.026; β= −0.183) and with its SoFAAS component (solid fats, alcoholic beverages and added sugars) ( p=0.007; β=0.279). Non-HDL cholesterol levels were associated with the BHEI-R vegetable component ( p=0.015; β=0.002) and the meat, eggs and beans component ( p=0.003; β=0.007). Triacylglycerol levels were associated with the BHEI-R vegetable component ( p=0.027; β=0.003); the meat, eggs and beans component ( p=0.041; β=0.001); and the total protein component ( p=0.013; β=0.032). Significant effects were observed for the interactions between the GRS and both the BHEI-R oils component ( p=0.019) and the SoFAAS component ( p<0.001) on the dyslipidemia risk. Conclusions: The evaluation of dietary quality, especially fat quality, together with the lipid metabolism GRS could be a useful tool to manage cardiometabolic risk.