Effect of Polymorphisms in the FCN1, FCN2, and FCN3 Genes on the Susceptibility to Develop Rheumatoid Arthritis: A Systematic Review.
Sebastian Ramiro Gil-QuiñonesLuz Dary Castañeda-CastañedaLorena Larios-SalazarSusana Mejia-MesaAdriana MottaDavid Tovar-ParraPublished in: International journal of rheumatology (2022)
Genetic association studies in rheumatoid arthritis conducted in various populations have yielded heterogeneous results. The present systematic review was conducted to synthesize the results of the studies in order to establish the impact of polymorphisms in the ficolin-coding genes FCN1, FCN2, and FCN3 on the susceptibility to develop rheumatoid arthritis. A systematic literature review was performed using the following keywords "gene (FCN1/FCN2/FCN3)", "Polymorphism/Genetic Variant", and "rheumatoid arthritis" in different databases until January 2022. Authors assessed articles by title/abstract and then assessed by full text for data extraction. The risk of bias was assessed using the Newcastle-Ottawa scale. Data synthesis was performed qualitatively and quantitatively. A total of 1519 articles were eligible for inclusion in this review, 3 were identified as relevant for the quantitative synthesis with 670 patients and 1019 controls. For the FCN1 gene, an association was found in the dominant and recessive genetic models of the variants rs2989727 (genotype TT = OR: 0.577, 95% CI: 0.430-0.769) and rs1071583 (genotype GG = OR: 1.537, 95% CI: 1.153-2.049, p = 0.0032) with the development of rheumatoid arthritis as a protective or susceptibility factor. FCN2 and FCN3 genes did not show association with disease development. The FCN1 gene variants rs2989727 and rs1071583 are associated with the risk of developing rheumatoid arthritis in populations from Brazil and Belgium, but not in FCN2 and FCN3 gene variants.
Keyphrases
- rheumatoid arthritis
- genome wide
- copy number
- systematic review
- disease activity
- genome wide identification
- interstitial lung disease
- gene expression
- genome wide analysis
- systemic lupus erythematosus
- high resolution
- machine learning
- newly diagnosed
- deep learning
- end stage renal disease
- idiopathic pulmonary fibrosis
- prognostic factors
- smoking cessation
- duchenne muscular dystrophy
- bioinformatics analysis