Authors: González-Castro, Thelma Beatriz
Hernández-Díaz, Yazmín
Pérez-Hernández, Nonanzit
Tovilla-Zárate, Carlos Alfonso
Juárez-Rojop, Isela Esther
López-Narvaez, María Lilia
Blachman-Braun, Ruben
Posadas-Sánchez, Rosalinda
Vargas-Alarcón, Gilberto
García-Flores, Esbeidy
Cazarín-Santos, Benny Giovanni
Borgonio-Cuadra, Verónica Marusa
Reyes-López, Pedro A.
Rodríguez-Pérez, José Manuel
Title: Interleukin 6 (rs1800795) gene polymorphism is associated with cardiovascular diseases
Other Titles: a meta-analysis of 74 studies with 86,229 subjects
Language (ISO): en
Abstract: Cardiovascular diseases (CVD) are group of complex and multifactorial pathologies, in which interleukin-6 (IL- 6) gene polymorphisms have been associated with several components of the CVD. Thus, in this study, we thoroughly reviewed and meta-analyzed evidence on the association between the IL-6 (rs1800795) gene polymorphism and CVD. We systematically searched in the PubMed, Web of Sciences, and Scopus databases. The analyses were performed using five study groups based on (1) a combined pool of the overall populations, (2) the country of birth, (3) the continent of birth, (4) the diagnosis and (5) both location (country or continent) and diagnosis. The analysis included the allelic, homozygote, heterozygote, dominant and recessive models. The meta-analysisshowed that -174G>C (rs1800795) is a risk factor for CVD (allelic: OR=1.06, CI 95%=1.02-1.10. Z p value <0.0001; homozygous: OR=1.11, CI 95%=1.03-1.19, Z p value= 0.002; heterozygous: OR=1.08, CI 95%=1.03- 1.21, Z p value= 0.003; dominant: OR= 1.12, CI 95%= 1.07-1.18, Z p value= 0.001) and that this risk increases in the Chinese population. Additionally, we found that carriers of the C allele of 174G>C (rs1800795) polymorphism have an increase in the risk of coronary artery disease under the hereditary models assessed in the study. Using robust data, we found that IL-6 (rs1800795) -174G>C gene polymorphism is associated with CVD risk.
Subject Headings: IL-6
Inflammation
Polymorphism
Cardiovascular diseases
Meta-analysis
Genetic association
URI: http://hdl.handle.net/2003/38238
http://dx.doi.org/10.17877/DE290R-20208
Issue Date: 2019-06-07
Appears in Collections:Original Articles

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