摘要：The coming-forth of genome-wide association study had brought in new frontiers of complex disease association study, which was designed to discover all the disease loci. But along with the processing of genome-wide association study, the result of it was not as satisfying as researchers primarily expected. But the imperfect outcome of genome-wide association study was not only due to the methods applied to it, but there were also many other reasons. In this review, we focused on some problems encountered in genome-wide association study, including the argument among statistical interaction and biological interaction, the characteristics of genome-wide genotyping data and related methods developing, hypothesis of disease model and so on. The renewed learning and thinking on the genome-wide association study would give efficient supervision in the following study
关键词：genome-wide association study; interaction; characteristics of data; model hypothesis
