Abstract
BACKGROUND: Lipid metabolism is influenced by mutations in the EH domain binding protein 1 gene (EHBP1). This study investigated the link between the EHBP1 single-nucleotide polymorphisms (SNPs) and dyslipidemia risks in maintenance dialysis patients with end-stage renal disease in Chinese Han population. METHODS: A total of 539 patients were divided into dyslipidemia (379) and control (160) groups. The patients with dyslipidemia were divided into four subgroups: high low-density lipoprotein cholesterol, low high-density lipoprotein cholesterol (HDLC), high triglyceride (TG) and high total cholesterol groups. The genotype distributions of three EHBP1 SNPs (rs2710642, rs10496099 and rs1168816) were determined by high-throughput sequencing technology and were analyzed via generalized multifactor dimension reduction and binary logistic regression analysis. RESULTS: The high-TG and control groups differed in terms of the genotype frequency of the rs2710642. One haplotype was detected in both the dyslipidemia and high-TG groups. The risk of dyslipidemia was 2.72-fold higher in participants with rs2710642GG compared with those of rs2710642AA and 2.62-fold higher compared with those with rs2710642AA + GA. Subjects who carried rs2710642GG had a 2.94 times greater risk of high TG levels than those who carried rs2710642AA and a 2.89 times greater risk than those who carried rs2710642AA + GA. Compared with those who carried rs2710642AA + GA, those who carried rs2710642GG were 2.53 times more likely to have low HDLC levels. The rs2710642-body mass index (BMI) (≥ 24 kg/m(2)) and rs11688816A-rs2710642G haplotype interactions increased the risk of dyslipidemia, and the rs2710642-BMI (≥ 24 kg/m(2)) interaction increased the risk of high TG levels. The rs10496099-rs2710642 and rs10496099-rs2710642-rs11688816 interactions increased the risk of low HDLC levels. CONCLUSIONS: These results suggest that the EHBP1 rs2710642G and rs2710642GG and interactions with rs11688816A or BMI (≥ 24 kg/m(2)) were linked to higher dyslipidemia risks in end-stage renal disease patients in Chinese Han population.