Kazem Nadia M, Abdulkareem Ali A, Cooper Paul R, Milward Michael R
Department of Periodontics, College of Dentistry, University of Baghdad, Bab Al Mudam, Baghdad, Iraq.
Department of Oral Sciences, Faculty of Dentistry, Sir John Walsh Research Institute, University of Otago, Dunedin, New Zealand.
Eur J Dent. 2025 Jul;19(3):650-659. doi: 10.1055/s-0044-1791683. Epub 2024 Nov 7.
To investigate the association of single nucleotide polymorphisms (SNPs) with periodontitis and the potential of these SNPs for identifying susceptibility to periodontitis.
Periodontal clinical parameters were recorded followed by collecting venous blood for DNA extraction. Polymerase chain reaction was used to amplify target segments of the gene. Determination of the genotype and allele frequencies was performed using Sanger sequencing. All statistical analyses were performed using GraphPad Prism (version 9) using a statistically significant difference of < 0.05.
A total of 207 participants were recruited into two groups of healthy controls ( = 105) and cases diagnosed with periodontitis stage 2 or 3, grade B or C ( = 102). Analyses indicated that the genotypes and alleles of rs3743674 and rs5030625 SNPs were significantly associated with periodontitis. Results from a binary regression model suggested that the presence of these SNPs may indicate susceptibility to periodontitis and increase the rate of progression. Linkage disequilibrium analysis indicated that variants rs3743674 and rs5030625, and rs10272115 and rs16260 were correlated in a nonrandom manner ( = 0.638 and 0.495, respectively).
E-cadherin gene variants, rs3743674 and rs5030625, were associated with the periodontitis phenotype. These biomarkers may identify individuals susceptible to periodontitis and the rate of disease progression.
研究单核苷酸多态性(SNP)与牙周炎的关联,以及这些SNP用于识别牙周炎易感性的潜力。
记录牙周临床参数,随后采集静脉血用于DNA提取。采用聚合酶链反应扩增该基因的目标片段。使用桑格测序法测定基因型和等位基因频率。所有统计分析均使用GraphPad Prism(9版)进行,统计学显著性差异设定为<0.05。
共招募了207名参与者,分为两组,健康对照组(n = 105)和诊断为2期或3期、B级或C级牙周炎的病例组(n = 102)。分析表明,rs3743674和rs5030625 SNP的基因型和等位基因与牙周炎显著相关。二元回归模型结果表明,这些SNP的存在可能表明对牙周炎的易感性,并增加疾病进展速度。连锁不平衡分析表明,rs3743674与rs5030625以及rs10272115与rs16260变异以非随机方式相关(分别为r = 0.638和0.495)。
E-钙黏蛋白基因变异rs3743674和rs5030625与牙周炎表型相关。这些生物标志物可识别易患牙周炎的个体以及疾病进展速度。