Publications [#351377] of Jichun Xie

Papers Published

1. Xie, J; Cai, TT; Li, H, Sample size and power analysis for sparse signal recovery in genome-wide association studies., Biometrika, vol. 98 no. 2 (June, 2011), pp. 273-290 [doi]
   (last updated on 2024/04/19)

   Abstract:
   Genome-wide association studies have successfully identified hundreds of novel genetic variants associated with many complex human diseases. However, there is a lack of rigorous work on evaluating the statistical power for identifying these variants. In this paper, we consider sparse signal identification in genome-wide association studies and present two analytical frameworks for detailed analysis of the statistical power for detecting and identifying the disease-associated variants. We present an explicit sample size formula for achieving a given false non-discovery rate while controlling the false discovery rate based on an optimal procedure. Sparse genetic variant recovery is also considered and a boundary condition is established in terms of sparsity and signal strength for almost exact recovery of both disease-associated variants and nondisease-associated variants. A data-adaptive procedure is proposed to achieve this bound. The analytical results are illustrated with a genome-wide association study of neuroblastoma.