Association between the EHBP1 SNPs and dyslipidemia in the end-stage renal disease patients with dialysis in Chinese Han population

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.

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.

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/m²) and rs11688816A–rs2710642G haplotype interactions increased the risk of dyslipidemia, and the rs2710642–BMI (≥ 24 kg/m²) interaction increased the risk of high TG levels. The rs10496099–rs2710642 and rs10496099–rs2710642–rs11688816 interactions increased the risk of low HDLC levels.

These results suggest that the EHBP1 rs2710642G and rs2710642GG and interactions with rs11688816A or BMI (≥ 24 kg/m²) were linked to higher dyslipidemia risks in end-stage renal disease patients in Chinese Han population.