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Single-nucleotide polymorphisms SNPs are variations in human DNA that determine human susceptibility to developing some diseases. Using the largest genome-wide SNP-smoking interaction analysis reported for lung cancer, researchers identified three novel SNPs. The results from their study reinforce that gene-smoking interactions play important roles in the etiology of lung cancer and responsible for part of the missing heritability of this disease.
Environmental and genetic risk factors contribute to development of lung cancer. Tobacco smoking is the most well-known environmental risk factor associated with lung cancer. They conducted a study to display that gene-smoking interactions play important roles in the etiology of lung cancer.
In their study, three novel SNPs (single-nucleotide polymorphisms), or variations in our DNA that underlie human susceptibility to developing disease, were identified in the interaction analysis, including two SNPs for non-small cell lung cancer risk and one SNP for squamous cell lung cancer risk. The three identified novel SNPs provide potential candidate biomarkers for lung cancer risk screening and intervention.
The genotype and phenotype data used in this analysis came from OncoArray Consortium. Genome-wide interaction scanning remains a challenge as most genome-wide association studies are designed for main effect association analysis and have limited power for interaction analysis.
The three SNPs, identified in the team’s study, stratify lung cancer risk by smoking behavior. These three SNPs can be potential biomarkers used to improve the precision to which researchers can categorize an individual’s risk of lung cancer disease by smoking behavior, which are helpful for individualized prognosis and prediction of treatment plan.
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