Polymorphisms in the interleukin genes and chronic periodontitis: A field synopsis and revaluation by Bayesian approaches

• Published in: Cytokine (Philadelphia, Pa.) Vol. 138; p. 155361
• Main Authors: da Silva, Felipe Rodolfo Pereira, Pessoa, Larissa dos Santos, Shin, Jae Il, Alves, Even Herlany Pereira, Koga, Reyce Santos, Smith, Camila Valente, Vasconcelos, Daniel Fernando Pereira, Pereira, Anna Carolina Toledo da Cunha
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.02.2021
• Subjects: Alleles; Bayes Theorem; Biomarkers - metabolism; Chronic Periodontitis - genetics; False Positive Reactions; Genetic Predisposition to Disease; Genetic variations; Humans; Inflammation Mediators; Interleukin-1beta - genetics; Meta-Analysis as Topic; Odds Ratio; Periodontal diseases; Polymorphism, Single Nucleotide; Probability; Risk factors; Periodontal diseases; Odds ratio; Genetic variations; Risk factors; Alleles
• ISSN: 1043-4666; 1096-0023
• DOI: 10.1016/j.cyto.2020.155361

•The Bayesian approaches showed the results on the rs1800587 polymorphism as noteworthy.•The results on the rs1143634 polymorphism in the IL1B gene was noteworthy for the disease.•The gene and protein networks evidenced the central role of IL-1A and IL-1B in the inflammatory process. Periodontitis is a high prevalent disease into the clinical dentistry. Genetic variations in interleukins (IL) genes were associated with chronic periodontitis (CP) and were focus of several meta-analyses. This study aimed to assess the noteworthiness in the meta-analyses by means of a Bayesian approach to determinate possible false report associations. A systematic search was performed for meta-analyses with associations between gene polymorphisms in interleukins and CP. The calculations for the False-Positive Rate Probability (FPRP) and the Bayesian False Discovery Probability (BFDP) were performed to assess the noteworthiness with a statistical power of 1.2 and 1.5 of Odds Ratio at a prior probability of 10−3 and 10−6. As results, eight meta-analyses approaching the IL1A/rs1800587, IL1B/rs1143634, IL1RN/rs2234663, IL4/rs2243250, IL6/rs1800795/rs1800796, IL17A/rs2275913 and IL18/rs1946518/rs187238 polymorphisms have been identified. Twenty-two from 270 calculations (8.15%) were noteworthy. Herein, we have identified the IL1A and IL1B polymorphisms as noteworthy biomarkers for CP susceptibility.