Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, Coimbra, Portugal.
Institute of Medical Genetics/UCGenomics, Faculty of Medicine, University of Coimbra, Pólo 3. Subunidade 1, 3º andar, gab 77. Azinhaga de Sta Comba, Celas, 3000-548, Coimbra, Portugal.
BMC Oral Health. 2022 Jul 4;22(1):270. doi: 10.1186/s12903-022-02306-y.
Prediction of susceptibility to Orthodontically Induced External Apical Root Resorption (OIEARR) has been hampered by the complex architecture of this multifactorial phenotype. The aim of this study was to analyze the impact of the interaction of multiple variables in the susceptibility to OIEARR.
The study evaluated 195 patients requiring orthodontic treatment. Nine clinical and treatment variables, single nucleotide polymorphisms (SNPs) from five genes and variables interactions were analyzed as risk factors for OIEARR using a multiple linear regression model.
The model explained 29% of OIEARR variability (ANOVA: p < 0.01). Duration of treatment was the most important predictor and gender was the second, closely followed by premolar extraction. For genes encoding osteoprotegerin (OPG), the receptor activator of nuclear factor κ B (RANK) and the IL1 receptor antagonist (IL1RN), the effect of analyzed variants changed from protective to deleterious depending on the duration of treatment and the age of the patient.
This work shows that in OIEARR the impact of genetic susceptibility factors is dynamic changing according to clinical variables.
正畸性牙外吸收(OIEARR)易感性的预测受到这种多因素表型复杂结构的阻碍。本研究旨在分析多个变量相互作用对 OIEARR 易感性的影响。
本研究评估了 195 名需要正畸治疗的患者。使用多元线性回归模型,将 9 个临床和治疗变量、来自 5 个基因的单核苷酸多态性(SNP)和变量相互作用作为 OIEARR 的危险因素进行分析。
该模型解释了 29%的 OIEARR 变异性(方差分析:p<0.01)。治疗时间是最重要的预测因子,性别是第二重要的预测因子,紧随其后的是前磨牙拔除。对于编码核因子 κ B 受体激活剂(RANK)和白细胞介素 1 受体拮抗剂(IL1RN)的基因,分析的变异体的作用根据治疗时间和患者年龄从保护作用变为有害作用。
这项工作表明,在 OIEARR 中,遗传易感性因素的影响根据临床变量而动态变化。