Release date: 2017-11-03 In this issue of Carcinogenesis, the team reported three new single-nucleotide polymorphisms (SNPs) that are easily ill, and two of these SNPs improve non-small cell lung cancer (non-small- Cell lung cancer (NSCLC), another risk for lung squamous cell carcinoma. Three new SNPs provide potential candidate biomarkers for lung cancer risk screening and intervention. “The whole genome-wide interaction screening is still a challenge today. Most genome-wide association studies (GWAS) are designed for genes that are primarily active, and there is very little interaction analysis,†Dr. Yafang Li, project leader. Say. "This study is by far the largest interaction analysis of lung cancer genome-wide SNPs with smoking behavior. We took a two-step strategy in our analysis to reduce the power loss of common gene-environment interaction analysis." “First, we performed 13363 cases of NSCLC case interaction analysis to assess SNPs and smoking behavior. Candidate SNPs with a p-value less than 0.001 were further compared with 13970 controls for standard case-control interaction analysis.†"Using independent replication data sets including 5377 controls and 3,054 NSCLC cases, further validation of significant SNPs with p-values ​​less than 3.5x10–5. By histological subtype stratification analysis, we finally determined that rs6441286 and rs17723637 are two lung cancers. High-risk SNPs. In addition, interaction between smoking and rs4751674 suggests that the latter are high-risk SNPs for lung squamous cell carcinoma." Although the data used in this report was limited to the Caucasian population, the researchers indicated that other human population genotypes would be used to determine the interaction between behavior and genotype. Original title Genome-wide interaction study of smoking behavior and non-small cell lung cancer risk in Caucasian population Source: Biopass Eyeliner,White Eyeliner,Nyx Eyeliner,Liquid Eyeliner Guangzhou Lingxue Cosmetics Co., Ltd , https://www.lxgj188.com