Cis-eQTL-based trans-ethnic meta-analysis reveals novel genes associated with breast cancer risk

• Joshua D. Hoffman ,

  Contributed equally to this work with: Joshua D. Hoffman, Rebecca E. Graff

  Affiliation Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States of America

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• Rebecca E. Graff ,

  Contributed equally to this work with: Joshua D. Hoffman, Rebecca E. Graff

  Affiliation Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States of America

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• Nima C. Emami,

  Affiliations Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States of America, Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, United States of America

  http://orcid.org/0000-0002-4296-7805

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• Caroline G. Tai,

  Affiliation Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States of America

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• Michael N. Passarelli,

  Affiliation Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States of America

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• Donglei Hu,

  Affiliation Department of Medicine, University of California San Francisco, San Francisco, CA, United States of America

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• Scott Huntsman,

  Affiliation Department of Medicine, University of California San Francisco, San Francisco, CA, United States of America

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• Dexter Hadley,

  Affiliation Department of Pediatrics, University of California San Francisco, San Francisco, CA, United States of America

  http://orcid.org/0000-0003-0990-4674

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• Lancelote Leong,

  Affiliation Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States of America

  http://orcid.org/0000-0003-4899-0261

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• Arunabha Majumdar,

  Affiliation Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States of America

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• Noah Zaitlen,

  Affiliation Department of Medicine, University of California San Francisco, San Francisco, CA, United States of America

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• Elad Ziv,

  Affiliation Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States of America

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• John S. Witte

  * E-mail: jwitte@ucsf.edu

  Affiliations Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States of America, Department of Urology, University of California San Francisco, San Francisco, CA, United States of America, Institute for Human Genetics, University of California San Francisco, San Francisco, CA, United States of America

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