Dyslipidemia-Genotype Interactions with Nutrient Intake and Cere-bro-Cardiovascular Disease

Background: A comprehensive understanding of gene-diet interactions is necessary to establish proper dietary guidelines to prevent and manage cardio-cerebrovascular disease(CCD). We investigated the role of genetic variants associated with dyslipidemia and their interactions with macro-nutrients for cardiovascular disease using a large-scale genome-wide association study of Korean adults. Methods: Patients and Methods: A total of 58,701 participants from a Korean genome and epidemiology study were included. Dietary intake was assessed using a food frequency questionnaire. Dyslipidemia was defined as T.chol ≥240 mg/dL or HDL < 40 mg/dL or TG ≥200 mg/dL or LDL ≥160 mg/dL or Dyslipidemia history. Nutrients intake was classified as follows: protein intake: high ≥30%, 30 > middle ≥20%, 20% > low in daily total energy intake(TEI); carbohydrate intake: high >60%, 60 > middle ≥50%, 50% > low; fat intake: high ≥40%, 40 > middle ≥30%, 30% > low. Odds ratios and 95% confidence intervals were calculated after adjusting for age, sex, BMI, exercise status, smoking status, alcohol intake, PC1, PC2, and intake of each proportion of carbohydrate, fat, and protein. Results: Patients with dyslipidemia were 20,770 and CCD patients were 2077. We found that the lipase C (LIPC) gene was associated with HLD-cholesterol elevation. LIPC- rs 2,070,895 minor allele (A) have a low risk of CCD than those not carrying the SNP (odds ratio [OR] = 0.895, p-value = 1.78e-02). Furthermore, the individuals consuming protein below 20% TEI, LIPC minor allele (A) have a lower risk of CCD than those without that SNP (interaction p-value 6.12e-03). Conclusions: Our study findings suggested that interactions of specific polymorphisms associated with dyslipidemia and nutrient intake may influence CCD.