%0 Journal Article
%T 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
%A Dirce Maria Lobo Marchioni
%A Marcelo Macedo Rogero
%A Marina Maintinguer Norde
%A Regina Mara Fisberg
%A Tatiane Mieko de Meneses Fujii
%J Nutrition and Health
%@ 2047-945X
%D 2019
%R 10.1177/0260106019830844
%X Dyslipidemia can be influenced by genetic and dietary risk factors. 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). We recruited 228 adults (mean age 36.5 years) who participated in the Health Survey of S£¿o 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. High-density lipoprotein cholesterol (HDLC) levels were associated with the BHEI-R (p=0.026; ¦Â= £¿0.183) and with its SoFAAS component (solid fats, alcoholic beverages and added sugars) (p=0.007; ¦Â=0.279). Non-HDL cholesterol levels were associated with the BHEI-R vegetable component (p=0.015; ¦Â=0.002) and the meat, eggs and beans component (p=0.003; ¦Â=0.007). Triacylglycerol levels were associated with the BHEI-R vegetable component (p=0.027; ¦Â=0.003); the meat, eggs and beans component (p=0.041; ¦Â=0.001); and the total protein component (p=0.013; ¦Â=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. The evaluation of dietary quality, especially fat quality, together with the lipid metabolism GRS could be a useful tool to manage cardiometabolic risk
%K Dietary lipids
%K cardiovascular disease
%K genetic polymorphisms
%K lipid metabolism
%K nutrigenetics
%U https://journals.sagepub.com/doi/full/10.1177/0260106019830844