Lijun Zhu, Zhengmei Fang, Mengyun Huang, Lianping He, Miao Xu, Yue Yu, Yuelong Jin, Yan Chen, Yingshui Yao
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引用次数: 0
Abstract
Dyslipidaemia, characterised by abnormal lipid levels in the blood, is an important risk factor for cardiovascular disease. In this case-control study, the association between single-nucleotide polymorphisms in ERBB2 and ERBB3 genes and the risk of dyslipidaemia in a population from Northern Anhui, China was evaluated. Particularly, we analysed samples from 543 patients with dyslipidaemia and 648 healthy controls for five potentially functional polymorphisms using TaqMan assays. Multivariate logistic regression was used to assess the relationship between genotype and dyslipidaemia, adjusting for confounding variables. The ERBB2 rs2517955 and rs1058808 single-nucleotide polymorphisms were significantly associated with dyslipidaemia. The rs2517955 variant showed a protective effect against dyslipidaemia in males, individuals aged 55 years or younger, and those without diabetes. Similarly, the rs1058808 variant decreased the risk of dyslipidaemia in these stratified groups. Conversely, ERBB3 rs2292238 was associated with an increased risk of dyslipidaemia in patients with diabetes. Compared with the corresponding wild-type alleles, variant alleles of rs2517955 and rs1058808 were associated with a reduced risk of decreased high-density lipoprotein cholesterol levels. Additionally, ERBB2 rs2517955 variants were significantly linked to total cholesterol levels, whereas ERBB3 rs3741499 and rs877636 variants were significantly associated with low-density lipoprotein cholesterol levels. Our findings suggest that ERBB2 and ERBB3 polymorphisms are closely associated with the risk of dyslipidaemia in the Chinese population. These results provide valuable insights for further genetic studies of dyslipidaemia and the identification of potential therapeutic targets.
期刊介绍:
Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses.
Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication.
Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses.
Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods.
Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.