Estimating the number of true discoveries in genome-wide association studies |
| |
Authors: | Lee Woojoo Gusnanto A Salim A Magnusson P Sim Xueling Tai E S Pawitan Y |
| |
Affiliation: | Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden. |
| |
Abstract: | Recent genome-wide association studies have reported the discoveries of genetic variants of small to moderate effects. However, most studies of complex diseases face a great challenge because the number of significant variants is less than what is required to explain the disease heritability. A new approach is needed to recognize all potential discoveries in the data. In this paper, we present a practical model-free procedure to estimate the number of true discoveries as a function of the number of top-ranking SNPs together with the confidence bounds. This approach allows a practical methodology of general utility and produces relevant statistical quantities with simple interpretation. |
| |
Keywords: | |
本文献已被 PubMed 等数据库收录! |
|