Association between rs12252 and influenza susceptibility and severity: an updated meta-analysis
1National Institute for Viral Disease Control and Prevention, Collaboration Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention; Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing 102206, P.R. China.
Abstract:
In several lately published studies, the association between single-nucleotide polymorphism (SNP, rs12252) of IFITM3 and the risk of influenza is inconsistent. To further understand the association between the SNP of IFITM3 and the risk of influenza, we searched related studies in five databases including PubMed published earlier than 9 November 2017. Ten sets of data from nine studies were included and data were analysed by Revman 5.0 and Stata 12.0 in our updated meta-analysis, which represented 1365 patients and 5425 no-influenza controls from four different ethnicities. Here strong association between rs12252 and influenza was found in all four genetic models. The significant differences in the allelic model (C vs. T: odds ratio (OR) = 1.35, 95% confidence interval (CI) (1.03-1.79), P = 0.03) and homozygote model (CC vs. TT: OR = 10.63, 95% CI (3.39-33.33), P < 0.00001) in the Caucasian subgroup were discovered, which is very novel and striking. Also novel discoveries were found in the allelic model (C vs. T: OR = 1.37, 95% CI (1.08-1.73), P = 0.009), dominant model (CC + CT vs. TT: OR = 1.48, 95% CI (1.08-2.02), P = 0.01) and homozygote model (CC vs. TT: OR = 2.84, 95% CI (1.36-5.92), P = 0.005) when we compared patients with mild influenza with healthy individuals. Our meta-analysis suggests that single-nucleotide T to C polymorphism of IFITM3 associated with increasingly risk of severe and mild influenza in both Asian and Caucasian populations.
Insights
The single-nucleotide polymorphism rs12252 in the IFITM3 gene is strongly associated with increased risk of both severe and mild influenza. This finding holds true across Asian and Caucasian populations, impacting influenza susceptibility.
Area of Science:
- Genetics
- Immunology
- Epidemiology
Background:
- Inconsistent findings exist regarding the association between IFITM3 single-nucleotide polymorphism (SNP, rs12252) and influenza risk.
- Previous studies have yielded conflicting results, necessitating a comprehensive analysis.
Purpose of the Study:
- To clarify the association between the IFITM3 rs12252 SNP and influenza risk through an updated meta-analysis.
- To investigate the impact of this genetic variation on influenza susceptibility in different ethnic groups.
Main Methods:
- A systematic literature search was conducted in five databases, including PubMed, up to November 9, 2017.
- Data from ten datasets across nine studies, involving 1365 influenza patients and 5425 controls from four ethnicities, were analyzed using Revman 5.0 and Stata 12.0.
- Four genetic models were employed to assess the SNP's association with influenza risk.
Main Results:
- A strong association was found between the IFITM3 rs12252 SNP and influenza risk across all genetic models.
- Significant associations were observed in Caucasians (allelic model: OR=1.35, P=0.03; homozygote model: OR=10.63, P<0.00001).
- Novel associations were identified when comparing mild influenza patients with healthy individuals (allelic model: OR=1.37, P=0.009; dominant model: OR=1.48, P=0.01; homozygote model: OR=2.84, P=0.005).
Conclusions:
- The T to C polymorphism in IFITM3 (rs12252) is significantly associated with an increased risk of severe and mild influenza.
- This genetic risk factor appears relevant in both Asian and Caucasian populations.
- The findings highlight the role of IFITM3 genetic variations in modulating influenza susceptibility.
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