Literature DB >> 30734899

Epistasis between ADIPOQ rs1501299 and PON1 rs662 polymorphisms is potentially associated with the development of knee osteoarthritis.

Javier Fernández-Torres1, Gabriela Angélica Martínez-Nava2, Yessica Zamudio-Cuevas2, Karina Martínez-Flores2, Rolando Espinosa-Morales3.   

Abstract

Overweight produces oxidative stress (OS) on the articular cartilage, with the subsequent risk of developing knee osteoarthritis (OA). Associations between genetic polymorphisms related to OS and OA have been reported, but it is currently unknown whether there exist interactions among them that affect OA development. To identify and evaluate interactions between multiple SNPs related to OS in Mexican knee OA patients. Ninety-two knee OA patients were included in the study, which were compared to 147 healthy controls. Nine variants of six genes (PEPD, AGER, IL6, ADIPOQ, PON1, and CA6) related to OS were genotyped in both study groups through the OpenArray system. Epistasis was analyzed with the multifactor dimensionality reduction (MDR) method. The MDR analysis revealed a significant interaction (p = 0.0107) between polymorphisms rs1501299 (ADIPOQ) and rs662 (PON1), with an entropy value of 9.84%; in addition, high and low risk genotypes were identified between these two polymorphisms. The effect of the interaction between rs1501299 (ADIPOQ) and rs662 (PON1) polymorphisms seems to play an important role in OA pathogenesis; so the epistasis analysis may provide an excellent tool for identifying individuals at high risk for developing OA.

Entities:  

Keywords:  Epistasis; Knee osteoarthritis; Multifactor dimensionality reduction; Oxidative stress; Single nucleotide polymorphism

Mesh:

Substances:

Year:  2019        PMID: 30734899     DOI: 10.1007/s11033-019-04654-5

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  47 in total

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6.  Increased oxidative stress and its relation with collagen metabolism in knee osteoarthritis.

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Authors:  E A Regan; R P Bowler; J D Crapo
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  7 in total

1.  Impact of the gene-gene interactions related to the HIF-1α signaling pathway with the knee osteoarthritis development.

Authors:  Javier Fernández-Torres; Gabriela Angélica Martínez-Nava; Yessica Zamudio-Cuevas; Karina Martínez-Flores; María Concepción Gutiérrez-Ruíz; Luis Enrique Gómez-Quiroz; Daniela Garrido-Rodríguez; José Francisco Muñoz-Valle; Edith Oregón-Romero; Carlos Lozada; Denise Clavijo Cornejo; Carlos Pineda; Alberto López-Reyes
Journal:  Clin Rheumatol       Date:  2019-06-25       Impact factor: 2.980

2.  Identification of differential key biomarkers in the synovial tissue between rheumatoid arthritis and osteoarthritis using bioinformatics analysis.

Authors:  Runrun Zhang; Xinpeng Zhou; Yehua Jin; Cen Chang; Rongsheng Wang; Jia Liu; Junyu Fan; Dongyi He
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3.  Multifactor dimensionality reduction reveals a strong gene-gene interaction between STC1 and COL11A1 genes as a possible risk factor of knee osteoarthritis.

Authors:  Javier Fernández-Torres; Gabriela Angélica Martínez-Nava; Yessica Zamudio-Cuevas; Karina Martínez-Flores; Fernando Mijares-Díaz
Journal:  Mol Biol Rep       Date:  2020-03-05       Impact factor: 2.316

4.  Network Analyses of Differentially Expressed Genes in Osteoarthritis to Identify Hub Genes.

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5.  Associations between adipokines gene polymorphisms and knee osteoarthritis: a meta-analysis.

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Authors:  Xinyuan Feng; Jiaying Xiao; Lunhao Bai
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7.  Epistasis of polymorphisms related to the articular cartilage extracellular matrix in knee osteoarthritis: Analysis-based multifactor dimensionality reduction.

Authors:  Javier Fernández-Torres; Gabriela Angélica Martínez-Nava; Yessica Zamudio-Cuevas; Carlos Lozada; Daniela Garrido-Rodríguez; Karina Martínez-Flores
Journal:  Genet Mol Biol       Date:  2020-03-27       Impact factor: 1.771

  7 in total

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