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

Han B, al. e (2016).“A general framework for meta-analyzing dependent studies with overlapping subjects in association mapping.”Hum. Mol. Genet.,25, 1857-1866.doi:10.1093/hmg/ddw049.

Han B, 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},  }

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