Fernández-Torres Javier, Martínez-Nava Gabriela Angélica, Zamudio-Cuevas Yessica, Lozada Carlos, Garrido-Rodríguez Daniela, Martínez-Flores Karina
Synovial Fluid Laboratory, Instituto Nacional de Rehabilitación "Luis Guillermo Ibarra Ibarra", Mexico City, Mexico.
Rheumatology Service, Instituto Nacional de Rehabilitación "Luis Guillermo Ibarra Ibarra", Mexico City, Mexico.
Genet Mol Biol. 2020 Mar 27;43(2):e20180349. doi: 10.1590/1678-4685-GMB-2018-0349. eCollection 2020.
Osteoarthritis (OA) is a complex disease with a multifactorial etiology. The genetic component is one of the main associated factors, resulting from interactions between genes and environmental factors. The aim of this study was to identify gene-gene interactions (epistasis) of the articular cartilage extracellular matrix (ECM) in knee OA. Ninety-two knee OA patients and 147 healthy individuals were included. Participants were genotyped in order to evaluate nine variants of eight genes associated with ECM metabolism using the OpenArray technology. Epistasis was analyzed using the multifactor dimensionality reduction (MDR) method. The MDR analysis showed significant gene-gene interactions between MMP3 (rs679620) and COL3A1 (rs1800255), and between COL3A1 (rs1800255) and VEGFA (rs699947) polymorphisms, with information gain values of 3.21% and 2.34%, respectively. Furthermore, in our study we found interactions in high-risk genotypes of the HIF1AN, MMP3 and COL3A1 genes; the most representative were [AA+CC+GA], [AA+CT+GA] and [AA+CT+GG], respectively; and low-risk genotypes [AA+CC+GG], [GG+TT+GA] and [AA+TT+GA], respectively. Knowing the interactions of these polymorphisms involved in articular cartilage ECM metabolism could provide a new tool to identify individuals at high risk of developing knee OA.
骨关节炎(OA)是一种病因多因素的复杂疾病。遗传因素是主要相关因素之一,由基因与环境因素相互作用导致。本研究的目的是识别膝关节OA中关节软骨细胞外基质(ECM)的基因-基因相互作用(上位性)。纳入了92例膝关节OA患者和147名健康个体。使用OpenArray技术对参与者进行基因分型,以评估与ECM代谢相关的8个基因的9个变体。使用多因素降维(MDR)方法分析上位性。MDR分析显示MMP3(rs679620)与COL3A1(rs1800255)之间以及COL3A1(rs1800255)与VEGFA(rs699947)多态性之间存在显著的基因-基因相互作用,信息增益值分别为3.21%和2.34%。此外,在我们的研究中,我们发现HIF1AN、MMP3和COL3A1基因的高危基因型之间存在相互作用;最具代表性的分别是[AA+CC+GA]、[AA+CT+GA]和[AA+CT+GG];以及低危基因型分别为[AA+CC+GG]、[GG+TT+GA]和[AA+TT+GA]。了解这些参与关节软骨ECM代谢的多态性之间的相互作用可为识别有发展为膝关节OA高风险的个体提供一种新工具。