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>

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.

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>

Corresponding BibTeX entries:

  @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},
  }

  @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},
  }

  @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},
  }