Institute for Clinical Molecular Biology, University Medical Center Schleswig-Holstein, Kiel, Germany.
Genes Immun. 2010 Jan;11(1):45-54. doi: 10.1038/gene.2009.75. Epub 2009 Oct 15.
Periodontal diseases are complex inflammatory diseases and affect up to 20% of the worldwide population. An unbalanced reaction of the immune system toward microbial pathogens is considered as the key factor in the development of periodontitis. Defensins have a strong antimicrobial function and are important contributors of the immune system toward maintaining health. Here, we present the first systematic association study of DEFB1. Using a haplotype-tagging single nucleotide polymorphism (SNP) approach, including described promoter SNPs of DEFB1, we investigated the associations of the selected variants in a large population (N=1337 cases and 2887 ethnically matched controls). The 3' untranslated region SNP, rs1047031, showed the most significant association signal for homozygous carriers of the rare A allele (P=0.002) with an increased genetic risk of 1.3 (95% confidence interval: 1.11-1.57). The association was consistent with the specific periodontitis forms: chronic periodontitis (odds ratio=2.2 (95% confidence interval: 1.16-4.35), P=0.02), and aggressive periodontitis (odds ratio=1.3 (95% confidence interval 1.04-1.68), P=0.02). Sequencing of regulatory and exonic regions of DEFB1 identified no other associated variant, pointing toward rs1047031 as likely being the causative variant. Prediction of microRNA targets identified a potential microRNA-binding site at the position of rs1047031.
牙周病是一种复杂的炎症性疾病,影响了全球多达 20%的人口。免疫系统对微生物病原体的不平衡反应被认为是牙周炎发展的关键因素。防御素具有强大的抗菌功能,是免疫系统维持健康的重要贡献者。在这里,我们首次对 DEFB1 进行了系统的关联研究。使用单核苷酸多态性 (SNP) 标记的单倍型方法,包括 DEFB1 的描述性启动子 SNP,我们在一个大人群(N=1337 例病例和 2887 名匹配的对照)中研究了所选变体的相关性。3'非翻译区 SNP rs1047031 显示出与罕见 A 等位基因纯合携带者最显著的关联信号(P=0.002),遗传风险增加 1.3(95%置信区间:1.11-1.57)。该关联与特定的牙周炎形式一致:慢性牙周炎(比值比=2.2(95%置信区间:1.16-4.35),P=0.02)和侵袭性牙周炎(比值比=1.3(95%置信区间 1.04-1.68),P=0.02)。对 DEFB1 的调控和外显子区域的测序没有发现其他相关变体,表明 rs1047031 可能是致病变体。对 microRNA 靶标的预测确定了 rs1047031 位置的潜在 microRNA 结合位点。