Interactions of genetic variants and environmental associated with cancer risk:Machine learning approach

摘要：

　　The majority of current genetic association studies focus on individual genetic variant effects,which have been show insufficient to explain the complexity of disease causality.The predictive power of cancer risk for the single nucleotide polymorphisms(SNPs)identified in the genome-wide association(GWA)studies is limited by the median per-allele odds ratio of 1.2 based on a recent review.It has been established that gene-gene(GG)or gene-environment(GE)interactions may play an important role on unveiling causality of complex diseases.

关键词： Genetic variants interactions cancer machine learning

作者: Hui-Yi Lin Tung-Sung Tseng

作者单位: Department of Biostatistics & Bioinformatics Moffitt Cancer Center & Research Institut Tampa,Florida Behavioral and Community Health Sciences School of Public Health Louisiana State University Health S

会议类型: 国际会议

会议名称: The 2014 ICME International Conference on Complex Medical Engineering (CME2014)ICME复合医学工程国际会议

会议地点: 台北

会议语种:英文

页码: 116-117

在线出版日期: 2014-06-26（万方平台首次上网日期，不代表论文的发表时间）