The association between TGF-β1 polymorphisms and asthma risk has been widely reported, but results were controversial. We performed this meta-analysis based on the Preferred Reporting Items for Systematic Reviews and meta-analyses statement (PRISMA). Electronic database of Pub Med, Web of Science, CBM, and CNKI were searched for eligible articles published up to September, 2013. The effect summary odds ratio (OR) and 95% confidence intervals were obtained. Finally, a total of 20 articles were identified, 17 studies with 3694 cases and 5613 controls for C-509T polymorphism, 7 studies with 1109 cases and 1098 controls for T869C polymorphism and 5 studies with 849 cases and 829 controls for G915C polymorphism. For C-509T, significant associations with asthma were found in Asians (TT+TC vs. CC: P=0.004, OR=1.43, 95%CI=1.12-1.81, P=0.001) and in Caucasians (P=0.05, OR=1.16, 95%CI=1.00-1.34, P=0.36). With respect to T869C, a small significant association was observed in overall analysis of allele contrasts(C vs. T: OR=1.14, 95%CI: 1.01-1.29, P=0.03) and homozygote comparison (CC vs. TT: OR=1.29, 95%CI: 1.00-1.65, P=0.05), but no significant risks were found among Caucasian population and Asian population. For G915C polymorphism, no significant association with asthma risk was demonstrated in overall analysis and subgroup analyses according to ethnicity for all genetic models. This meta-analysis suggested that TGF-β1 C-509T and T869C polymorphisms may be risk factors for asthma.
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http://dx.doi.org/10.1016/j.humimm.2016.09.011 | DOI Listing |
Genet Epidemiol
January 2025
Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
Gene-environment interactions have been observed for childhood asthma, however few have been assessed in ethnically diverse populations. Thus, we examined how polygenic risk score (PRS) modifies the association between ambient air pollution exposure (nitrogen dioxide [NO], ozone, particulate matter < 2.5 and < 10 μm) and childhood asthma incidence in a diverse cohort.
View Article and Find Full Text PDFBr J Hosp Med (Lond)
January 2025
Department of Infectious Diseases, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Epidemiological studies indicate that the involvement of the immune system in the pathogenesis of infections associated with chronic obstructive pulmonary disease (COPD), asthma, and interstitial lung disease (ILD) remains unclear. This study aims to assess the potential causal link between infections associated with COPD, asthma, or ILD and immune system function. We conducted a two-sample Mendelian randomization analysis using publicly available genome-wide association study (GWAS) datasets.
View Article and Find Full Text PDFAm J Respir Cell Mol Biol
January 2025
University of Groningen, University Medical Center Groningen, Department of Pulmonology and Pediatric Allergy, Beatrix Children's Hospital, Groningen, Netherlands.
Asthma is a genetically complex inflammatory airway disease associated with over 200 Single nucleotide polymorphisms (SNPs). However, the functional effects of many asthma-associated SNPs in lung and airway epithelial samples are unknown. Here, we aimed to conduct expression quantitative trait loci (eQTL) analysis using a meta-analysis of nasal and lung samples.
View Article and Find Full Text PDFGenome-wide association studies (GWAS) have identified genetic variants robustly associated with asthma. A potential near-term clinical application is to calculate polygenic risk score (PRS) to improve disease risk prediction. The value of PRS, as part of numerous multi-source variables used to define asthma, remains unclear.
View Article and Find Full Text PDFERJ Open Res
January 2025
Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Background: Asthma is a heterogeneous disease with variable response to treatment. Genetic backgrounds are involved in the severity of type 2 asthma, but their effects on responses to biologics remain unknown. This study aimed to clarify the role of genetic factors in response to biologics in patients with severe asthma.
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