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Lee, C. H., Eskin, E., & Han, B. (2017). Increasing the power of meta-analysis of genome-wide association studies to detect heterogeneous effects. Bioinformatics, 33(14), i379-i388. doi:10.1093/bioinformatics/btx242

@Article{,
  title = {Increasing the power of meta-analysis of genome-wide association studies to detect heterogeneous effects},
  author = {CH Lee and Eleazar Eskin and Buhm Han},
  year = {2017},
  journal = {Bioinformatics},
  doi = {10.1093/bioinformatics/btx242},
  volume = {33},
  issue = {14},
  pages = {i379--i388},
}

Han, B. et al. (2016) A general framework for meta-analyzing dependent studies with overlapping subjects in association mapping. Hum. Mol. Genet., 25, 1857-1866.

@Article{,
  title = {A general framework for meta-analyzing dependent studies with overlapping subjects in association mapping},
  author = {Buhm Han and et al.},
  year = {2016},
  journal = {Hum. Mol. Genet.},
  doi = {10.1093/hmg/ddw049},
  volume = {25},
  issue = {9},
  pages = {1857-1866},
}

Han, B. and Eskin, E. (2011) Random-effects model aimed at discovering associations in meta-analysis of genome-wide association studies. Am. J. Hum. Genet., 88, 586-598. doi:10.1016/j.ajhg.2011.04.014

@Article{,
  title = {Random-effects model aimed at discovering associations in meta-analysis of genome-wide association studies},
  author = {Buhm Han and Eleazar Eskin},
  year = {2011},
  journal = {Am. J. Hum. Genet.},
  doi = {10.1016/j.ajhg.2011.04.014},
  volume = {88},
  issue = {5},
  pages = {586--598},
}