Controlling the joint local false discovery rate is more powerful than meta-analysis methods in joint analysis of summary statistics from multiple genome-wide association studies

Wei Jiang, Weichuan Yu. Controlling the joint local false discovery rate is more powerful than meta-analysis methods in joint analysis of summary statistics from multiple genome-wide association studies. Bioinformatics, 33(4):500-507, 2017. [doi]

@article{JiangY17-3,
  title = {Controlling the joint local false discovery rate is more powerful than meta-analysis methods in joint analysis of summary statistics from multiple genome-wide association studies},
  author = {Wei Jiang and Weichuan Yu},
  year = {2017},
  doi = {10.1093/bioinformatics/btw690},
  url = {http://dx.doi.org/10.1093/bioinformatics/btw690},
  researchr = {https://researchr.org/publication/JiangY17-3},
  cites = {0},
  citedby = {0},
  journal = {Bioinformatics},
  volume = {33},
  number = {4},
  pages = {500-507},
}