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      https://www.ias.ac.in/article/fulltext/jgen/096/06/0985-0992

    • Keywords

       

      dyslipidemia; lipid levels; single-nucleotide polymorphisms; cardiovascular disease; genetics.

    • Abstract

       

      Recently, several human genetic and genomewide association studies (GWAS) have discovered many genetic loci that are associated with the concentration of the blood lipids. To confirm the reported loci in Chinese population, we conducted a cross section study to analyse the association of 25 reported SNPs, genotyped by the ABI SNaPshot method, with the blood levels of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglycerides (TG) in 1900 individuals by multivariate analysis. Logistic regression was applied to assess the association of the genetic loci withthe risk of different types of dyslipidemia. Our study has convincingly identified that 12 of 25 studied SNPs were strongly associated with one or more blood lipid parameters (TC, LDL, HDL and TG). Among the 12 associated SNPs, 10 significantly influence the risk of one or more types of dyslipidemia.We firstly found four SNPs (rs12654264 in HMGCR; rs2479409 in PCSK9; rs16996148 inCILP2, PBX4; rs4420638 in APOE-C1-C4-C2) robustly and independently associate with four types of dyslipidemia (MHL, mixed hyperlipidemia; IHTC, isolated hypercholesterolemia; ILH, isolated low HDL-C; IHTG, isolated hypertriglyceridemia). Our results suggest that genetic susceptibility is different on the same candidate locus for the different populations. Meanwhile, most of thereported genetic variants strongly influence one or more plasma lipid levels and the risk of dyslipidemia in Chinese population.

    • Author Affiliations

       

      HUAICHAO LUO1 2 XUEPING ZHANG1 3 PING SHUAI1 4 YUANYING MIAO1 2 5 ZIMENG YE1 YING LIN1 3 5 4

      1. Sichuan Provincial Key Laboratory for Human Disease Gene Study, The Institute of Laboratory Medicine, Hospital of University of Electronic Science and Technology of China and Sichuan Provincial People’s Hospital, Chengdu, People’s Republic of China
      2. Department of Clinical Laboratory, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, People’s Republic of China
      3. College of Clinical Medicine, Southwest Medical University, Luzhou, People’s Republic of China
      4. School of Medicine, University of Electronic Science and Technology of China Sichuan, Chengdu, People’s Republic of China
      5. Sichuan Translational Medicine Hospital, Chinese Academy of Sciences, Chengdu, People’s Republic of China
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  • Journal of Genetics | News

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