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1.
World J Surg Oncol ; 21(1): 352, 2023 Nov 11.
Article in English | MEDLINE | ID: mdl-37950293

ABSTRACT

INTRODUCTION: Understanding the etiology and risk factors of lung cancer (LC) is the key to developing scientific and effective prevention and control strategies for LC. CYP4B1 genetic polymorphism has been reported to be associated with susceptibility to various diseases. We aimed to explore the association between CYP4B1 genetic variants and LC susceptibility. METHODS: One thousand three hundred thirty-nine participants were recruited to perform an association analysis through SNPStats online software. Statistical analysis of this study was mainly completed by SPSS 22.0 software. False-positive report probability analysis (FPRP) to detect whether the positive findings were noteworthy. Finally, the interaction of SNP-SNP in LC risk was evaluated by multi-factor dimensionality reduction. RESULTS: We found evidence that missense variants in CYP4B1 (rs2297810, rs4646491, and rs2297809) are associated with LC susceptibility. In particular, genotype GA of CYP4B1-rs2297810 was significantly associated with an increased risk of LC in both overall and stratified analyses (genotype GA: OR (95% CI) = 1.35 (1.08-1.69), p = 0.010). CYP4B1-rs4646491 (overdominant: OR (95% CI) = 1.30 (1.04-1.62), p = 0.023) and CYP4B1-rs2297809 (genotype CT: OR (95% CI) = 1.26 (1.01-1.59), p = 0.046) are also associated with an increased risk of LC. FPRP analysis showed that all positive results in this study are noteworthy findings CONCLUSION: Three missense variants in CYP4B1 (rs2297810, rs4646491, and rs2297809) are associated with increasing risk of LC.


Subject(s)
Lung Neoplasms , Humans , Lung Neoplasms/epidemiology , Lung Neoplasms/genetics , Genetic Predisposition to Disease , East Asian People , Polymorphism, Genetic , Genotype , Risk Factors , Polymorphism, Single Nucleotide , Case-Control Studies , China/epidemiology
2.
Mol Genet Genomic Med ; 7(7): e00754, 2019 07.
Article in English | MEDLINE | ID: mdl-31134763

ABSTRACT

BACKGROUND: The biological mechanisms driving disease chronicity in rheumatoid arthritis (RA) are largely unidentified. Therefore, we aimed to determine genetic risk factors for RA. METHODS: In this case-control study, which includes samples from 499 patients and 507 healthy controls, six single-nucleotide polymorphisms (SNPs) in interleukin-2 receptor subunit alpha (IL2RA) and IL2RB were selected. Genotyping was performed using the Agena MassARRAY platform, and the statistical analyses were performed using the chi-squared and Fisher's exact tests, genetic model analysis, and haplotype analysis. RESULT: In the allele model, using the chi-squared test, the result showed that rs791588 in IL2RA was associated with a decreased RA risk (odds ratios [OR] = 0.74, 95% confidence intervals [CI] = 0.62-0.89, p = 0.0014) after adjusting for age and gender. In the genetic model, logistic regression analyses revealed that rs791588 was associated with a decreased risk of RA under the codominant model, dominant model, recessive model, and log-additive model. Stratification analysis revealed that two SNPs (rs791588 and rs2281089) were significantly associated with a reduced RA risk in an allele and genetic model after stratification by gender or age (p < 0.05). In addition, the haplotypes "Crs12569923 Grs791588 " and "Crs12569923 Trs791588 " of IL2RA was associated with an increased risk of RA adjusted by age and gender (OR = 1.35, 95% CI: 1.12-1.64, p = 0.0016; OR = 1.24, 95% CI: 1.03-1.48, p = 0.021). CONCLUSION: This finding indicates that the inherited altered genetic constitution at IL2RA may predispose to a less destructive course of RA.


Subject(s)
Arthritis, Rheumatoid/genetics , Interleukin-2 Receptor alpha Subunit/genetics , Interleukin-2 Receptor beta Subunit/metabolism , Adult , Aged , Alleles , Arthritis, Rheumatoid/pathology , Case-Control Studies , Female , Gene Frequency , Genotype , Haplotypes , Humans , Linkage Disequilibrium , Logistic Models , Male , Middle Aged , Odds Ratio , Polymorphism, Single Nucleotide , Risk Factors
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