Statistical power and utility of meta-analysis methods for cross-phenotype genome-wide association studies

• Zhaozhong Zhu,

  Roles Formal analysis, Investigation, Methodology, Writing – original draft

  Affiliations Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America, Program in Quantitative Genomics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America

  http://orcid.org/0000-0001-5662-1541

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• Verneri Anttila,

  Roles Data curation, Resources, Writing – review & editing

  Affiliation Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America

  http://orcid.org/0000-0002-0073-4675

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• Jordan W. Smoller,

  Roles Conceptualization, Funding acquisition, Writing – review & editing

  Affiliations Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America, Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America

  http://orcid.org/0000-0002-0381-6334

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• Phil H. Lee

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: PLEE0@mgh.harvard.edu

  Affiliations Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America, Program in Quantitative Genomics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America, Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America

  http://orcid.org/0000-0003-1770-3100

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