bioRxiv preprint doi: https://doi.org/10.1101/231423; this version posted December 8, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Cell-type specific eQTL of primary melanocytes facilitates identification of melanoma susceptibility genes Tongwu Zhang1,7, Jiyeon Choi1,7, Michael A. Kovacs1, Jianxin Shi2, Mai Xu1, NISC Comparative Sequencing Program9, Melanoma Meta-Analysis Consortium10, Alisa M. Goldstein3, Mark M. Iles4, Stuart MacGregor5, Laufey T. Amundadottir1, Matthew H. Law5, Stacie K. Loftus6, William J. Pavan6,8, Kevin M. Brown1,8 1 Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National institutes of Health, Bethesda, Maryland 20892, USA; 2 Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National institutes of Health, Bethesda, Maryland 20892, USA; 3 Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National institutes of Health, Bethesda, Maryland 20892, USA; 4 Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK. 5 Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia; 6 Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA 7 These authors contributed equally to this work 8 These authors co-supervised this work 9,10 A complete list of consortium authors appears at the end of this paper Corresponding authors:
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[email protected] RUNNING TITLE: Cell-type specific melanocyte eQTL dataset KEY WORDS: eQTL, Melanocyte, Melanoma, cell-type specific 1 bioRxiv preprint doi: https://doi.org/10.1101/231423; this version posted December 8, 2017.