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On the Meta-Analysis of Genome-Wide Association Studies: A Robust and Efficient Approach to Combine Population and Family-Based StudiesWon S.a, b · Lu Q.c · Bertram L.d, e · Tanzi R.E.d · Lange C.f–j
aDepartment of Applied Statistics, and bThe Research Center for Data Science, Chung-Ang University, Seoul, Republic of Korea; cDepartment of Epidemiology, Michigan State University, East Lansing, Mich., dGenetics and Aging Research Unit, Department of Neurology, Massachusetts General Hospital, Charlestown, Mass., USA; eNeuropsychiatric Genetics Group, Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany; fDepartment of Biostatistics, Harvard School of Public Health, gHarvard Medical School, and hCenter for Genomic Medicine, Brigham and Women’s Hospital, Boston, Mass., USA; iInstitute for Genomic Mathematics, University of Bonn, and jGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany Corresponding Author
Department of Applied Statistics
Seoul 156-756 (Republic of Korea)
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