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Engineering Artificial Factors to Specifically Manipulate Alternative Splicing in Human Cells
Published on: April 26, 2017
Polymorphisms in alternative splicing associated genes are associated with lung cancer risk in a Chinese population
Wei Shen1, Rong Yin2, Cheng Wang1
1Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Background:
Alternative splicing is an important biological step during mRNA processing. Misregulation of alternative splicing can produce aberrant protein isoforms, thus contributing to cancer. We hypothesized that variants in 5 critical splicing factor-associated genes might play an important role in carcinogenesis of lung cancer.
Materials And Methods:
A case-control study including 1,341 non-small cell lung cancer (NSCLC) cases and 1,982 cancer-free controls were conducted to evaluate the associations of 16 tagging/functional polymorphisms in 5 splicing factor-associated genes with lung cancer risk.
Results:
We found altogether 8 SNPs were associated with lung cancer risk with adjustment of age, gender, and smoking status after multiple corrections (FDR). Among these, six SNPs were related with SRSF7(rs10197412, OR (95% CI)=1.23 (1.06-1.43), P for FDR=0.018; rs12621103, OR(95% CI)=1.25 (1.08-1.46), P for FDR=0.016; rs13024811, OR (95% CI)=1.25 (1.07-1.46), P for FDR=0.016; rs2037875, OR (95% CI)=1.23 (1.06-1.42), P for FDR=0.018; rs3134628, OR (95% CI)=1.25(1.07-1.45), P for FDR=0.016 and rs6715866, OR (95% CI)=1.23 (1.07-1.43), P for FDR=0.016); one SNP was near PTBP2 (rs12566237: OR (95% CI)=1.16 (1.05-1.28), P for FDR=0.016) and one SNP in HNRNPQ (rs16876385: OR (95% CI)=1.17 (1.04-1.32), P for FDR=0.022).
Conclusions:
Our findings indicated that genetic variants in these splicing-associated genes might modify individual susceptibility to lung cancer in Chinese population. Further large-scale well-formed population studies and functional researches are warranted to confirm our findings.
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