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Published on: November 24, 2020
Integrating genetics and lifestyles for precision nutrition in hypertriglyceridemia: A UK Biobank and KoGES analysis
Haeng Jeon Hur1, Hye Jeong Yang1, Min Jung Kim1
1Research Group of Precision Nutrition, Korea Food Research Institute, Wanju, Jeonbuk-do, Republic of Korea (Drs Hur, Yang, Kim, Jang, and Kim).
Background:
Hypertriglyceridemia is an independent risk factor for cardiovascular disease.
Objective:
This study examined the polygenic variants associated with high serum triglyceride concentration (high-TG) and their interactions with lifestyle factors using data from the UK Biobank (n = 479,300) and the Korean Genome and Epidemiology Study (KoGES; n = 57,939).
Methods:
High-TG group was categorized based on over 200 mg/dL fasting serum TG concentrations (Caucasians, UK Biobank, n = 100,543; Koreans, KoGES, n = 7211). Polygenic risk scores (PRS) were calculated using risk alleles from genetic variants identified through a genome-wide association study (GWAS) and generalized multifactor dimensionality reduction (GMDR) analyses.
Results:
Koreans showed higher frequencies of risk alleles in GCKR, APOA5, SIK3, and APOE genes compared to Caucasians. After adjusting for covariates, a PRS including lipoprotein lipase (LPL)_rs328, apolipoprotein A5 (APOA5)_rs2072560, and glucokinase regulator (GCKR)_rs780093 showed a 2.2-fold (UK Biobank) and 2.6-fold (KoGES) increased risk of high-TG among Caucasians and Koreans, respectively. In both cohorts, the PRS was positively associated with metabolic syndrome, serum low high-density lipoprotein (HDL)-cholesterol, and high low-density lipoprotein (LDL)-cholesterol concentrations, but inversely associated with high-TG. These variants were linked to the chylomicron and very low-density lipoprotein (VLDL) remodeling pathways in Multimarker Analysis of GenoMic Annotation (MAGMA) gene analysis. Significant interactions were observed between the PRS and lifestyle factors, namely plant-based diet (P = .0008), alcohol consumption (P = .0022), and smoking status (P < .001) in both cohorts. Additionally, in the KoGES cohort, vitamin D intake (P = .027) and the glycemic index (P = .045) interacted with the PRS to influence high-TG risk.
Conclusion:
Similar genetic variants affected high-TG risk across populations despite ethnic differences in risk allele frequencies. The identified PRS significantly interacted with plant-based diet, alcohol consumption, and smoking status in both cohorts, with additional interactions observed with vitamin D intake and glycemic index in the Korean cohort.
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