Abstract 1593: Genetic interactions in lung cancer using machine-learning approaches in genome-wide association studies

Genome-wide association studies (GWAS) consisting of hundreds of thousands or millions of single nucleotide polymorphisms (SNPs) have presented the complex inheritance patterns of disease/trait. Although GWAS have identified thousands of SNPS associated with diseases, few studies have explored interactions among these SNPs that may influence disease risks. Machine learning applications can identify SNPs that influence disease risk through...