Clinical rheumatology · 2019
Impact of the gene-gene interactions related to the HIF-1α signaling pathway with the knee osteoarthritis development.
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Fernández-Torres Javier, Martínez-Nava Gabriela Angélica, Zamudio-Cuevas Yessica, Martínez-Flores Karina, Gutiérrez-Ruíz María Concepción, Gómez-Quiroz Luis Enrique, Garrido-Rodríguez Daniela, Muñoz-Valle José Francisco, Oregón-Romero Edith, Lozada Carlos, Cornejo Denise Clavijo, Pineda Carlos, López-Reyes Alberto
Аннотация
INTRODUCTION/OBJECTIVES: Articular cartilage is the target tissue of osteoarthritis (OA), and because it lacks capillary networks, the microenvironment is hypoxic. Hypoxia inducible factor-1 alpha (HIF-1α) regulates the homeostasis of this tissue. The aim of this study was to investigate whether genetic polymorphisms of the HIF-1α signaling pathway are involved in the development of knee OA.
METHOD: We performed a case-control association study and genotyped 134 knee OA patients and 267 healthy controls. All participants were genotyped in order to evaluate 42 SNPs from 22 genes involved in the HIF-1α signaling pathway using the OpenArray technology. Gene-gene interactions (epistasis) were analyzed using the multifactor dimensionality reduction (MDR) method.
RESULTS: The MDR analysis showed epistasis between AKT2 (rs8100018) and IGF1 (rs2288377), AKT2 (rs8100018) and IGF1 (rs35767), IGF1 (rs35767) and COL2A1 (rs1793953), and between GSK3B (rs6438552) and IGF1 (rs35767) polymorphisms, with information gain values of 21.24%, 8.37%, 9.93%, and 5.73%, respectively. Additionally, our model allowed us to identify high- and low-risk genotypes among COL2A1 rs1793953, GSK3B rs6438552, AKT2 rs8100018, and IGF1 rs35767 polymorphisms.
CONCLUSIONS: Knowing the interactions of these polymorphisms involved in HIF-1α signaling pathway could provide a new diagnostic support tool to identify individuals at high risk of developing knee OA.
METHOD: We performed a case-control association study and genotyped 134 knee OA patients and 267 healthy controls. All participants were genotyped in order to evaluate 42 SNPs from 22 genes involved in the HIF-1α signaling pathway using the OpenArray technology. Gene-gene interactions (epistasis) were analyzed using the multifactor dimensionality reduction (MDR) method.
RESULTS: The MDR analysis showed epistasis between AKT2 (rs8100018) and IGF1 (rs2288377), AKT2 (rs8100018) and IGF1 (rs35767), IGF1 (rs35767) and COL2A1 (rs1793953), and between GSK3B (rs6438552) and IGF1 (rs35767) polymorphisms, with information gain values of 21.24%, 8.37%, 9.93%, and 5.73%, respectively. Additionally, our model allowed us to identify high- and low-risk genotypes among COL2A1 rs1793953, GSK3B rs6438552, AKT2 rs8100018, and IGF1 rs35767 polymorphisms.
CONCLUSIONS: Knowing the interactions of these polymorphisms involved in HIF-1α signaling pathway could provide a new diagnostic support tool to identify individuals at high risk of developing knee OA.
Предметные рубрики MeSH
AdultCapillariesCase-Control StudiesCollagen Type IIEpistasis, GeneticFemaleGenotypeGlycogen Synthase Kinase 3 betaHaplotypesHomeostasisHumansHypoxia-Inducible Factor 1, alpha SubunitInsulin-Like Growth Factor IMaleMexicoMiddle AgedModels, GeneticOsteoarthritis, KneePolymorphism, Single NucleotideProto-Oncogene Proteins c-aktRiskSignal Transduction