Improved analyses of GWAS summary statistics by reducing data heterogeneity and errors
oleh: Wenhan Chen, Yang Wu, Zhili Zheng, Ting Qi, Peter M. Visscher, Zhihong Zhu, Jian Yang
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2021-12-01 |
Deskripsi
Analyses of summary statistics from GWAS are subject to biases due to errors in the discovery GWAS or linkage disequilibrium reference data set or heterogeneity between data sets. Here, the authors propose a quality control method to be added to analysis of GWAS summary data that can reduce such biases.