2010년 1회 통계세미나 개최 안내
통계연구소에서는 다음과 같이 통계 세미나를 개최하오니 많은 참여 바랍니다.
일시: 2010년 3월 10일(수) 오후 5시
장소: 고려대학교 정경관 201호
연사: Jungnam Joo
(National Heart, Lung and Blood institute)
“Improving Power for Testing Genetic Association in Case-Control Studies by Reducing the Alternative Space”
To detect association between a genetic marker and a disease in case-control studies, the Cochran-Armitage trend test is typically used. The trend test is locally optimal when the genetic model is correctly specified. However, in practice, the underlying genetic model, and hence the optimal trend test are usually unknown. In this case, Pearson’'s chi-squared test, the maximum of three trend test statistics (optimal for the recessive, additive and dominant models) and the test based on genetic model selection are useful. In this article, we first modify the existing genetic model selection method so that it can be used when the risk allele is unknown. Then we propose a new approach by excluding a genetic model which is not supported by the data. Using either the model selection or exclusion, the alternative space is reduced conditional on the observed data, and hence the power to detect a true association can be increased. Simulation results are reported and the proposed methods are applied to the genetic markers identified from the genome-wide association studies conducted by theWellcome Trust Case-Control Consortium. The results demonstrate that the genetic model exclusion approach usually performs better than existing methods under its worst situation across scientifically plausible genetic models we considered.
고려대학교 통계연구소