Literature DB >> 33727652

Genetic variation of RNF145 gene and blood lipid levels in Xinjiang population, China.

Jing Ming1,2, Xian Wei1,2, Min Han1,2, Dilare Adi1,2, Jialin Abuzhalihan1,2, Yong-Tao Wang1,2, Yi-Ning Yang1,2, Xiao-Mei Li1,2, Xiang Xie1,2, Zhen-Yan Fu1,2, Min-Tao Gai2, Yi-Tong Ma3,4.   

Abstract

Dyslipidemia is one of the main risk factors for coronary heart disease (CHD). The E3 ubiquitin ligase which is encoded by the ring finger protein 145 (RNF145) gene is very important in the mediation of cholesterol synthesis and effectively treats hypercholesterolemia. Thus, the purpose of the present research is to investigate the connection between the polymorphism of the RNF145 gene and cholesterol levels in the populations in Xinjiang, China. A total of 1396 participants (Male: 628, Female: 768) were included in this study for genetic analysis of RNF145 gene, and we used the modified multiple connection detection response (iMLDR) technology to label two SNPs (rs17056583, rs12188266) of RNF145 genotyping. The relationship between the genotypes and the lipid profiles was analyzed with general linear model analysis after adjusting confounding variables. Through the analysis of the two SNPs in RNF145 gene, we discovered that both rs17056583 and rs12188266 were related to total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) concentrations (All P < 0.001). In addition, the association of rs17056583 and rs12188266 with lipid profiles concentrations is still statistically significant after multivariate adjustment of sex, age, smoking, obesity, drinking, diabetes, hypertension and lipid profiles. Meanwhile, we also found that rs17056583 was associated with high triglycerides concentrations before and after adjustment (All P < 0.001). Our study shows that both rs17056583 and rs12188266 SNPs of RNP145 gene are related to TC and LDL-C concentrations in Xinjiang population.

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Year:  2021        PMID: 33727652      PMCID: PMC7966793          DOI: 10.1038/s41598-021-85503-z

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


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