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: bpavan@mail.nih.gov, kevin.brown3@nih.gov RUNNING TITLE: Cell-type specific melanocyte eQTL dataset KEY WORDS: eQTL, Melanocyte, Melanoma, cell-type specific peer-reviewed) is the author/funder. All rights reserved. No reuse allowed without permission.The copyright holder for this preprint (which was not . http://dx.doi.org/10.1101/231423 doi: bioRxiv preprint first posted online 2 ABSTRACT Most expression quantitative trait loci (eQTL) studies to date have been performed in heterogenous tissues as opposed to specific cell types. To better understand the cell-type specific regulatory landscape of human melanocytes, which give rise to melanoma but account for <5% of typical human skin biopsies, we performed an eQTL analysis in primary melanocyte cultures from 106 newborn males. We identified 597,335 cis-eQTLs and 4,997 eGenes (FDR<0.05), which are higher numbers than any GTEx tissue type with a similar sample size.Melanocyte eQTLs differed considerably from those identified in the 44 GTEx tissues, including skin. Over a third of melanocyte eGenes including key genes in melanin synthesis pathways were not observed in two types of GTEx skin tissues or melanoma samples. The melanocyte dataset also identified cell-type specific trans-eQTL of a pigmentation-associated SNP for four genes, likely through its cis-regulation of IRF4, encoding a transcription factor implicated in human pigmentation phenotypes. Melanocyte eQTLs are enriched in cis-regulatory signatures found in melanocytes as well as melanoma-associate variants identified through genome-wide association studies (GWAS). Co-localization of melanoma GWAS variants and eQTLs from melanocyte and skin eQTL datasets identified candidate melanoma susceptibility genes for most of the known GWAS loci including unique genes identified by the melanocyte dataset.Further, a transcriptome-wide association study using published melanoma GWAS data uncovered four new loci, where imputed expression levels of five genes (ZFP90, HEBP1, MSC, CBWD1, and RP11-383H13.1) were associated with melanoma at genome-wide significant Pvalues. Our data highlights the utility of lineage-specific eQTL resources for annotating GWAS findings and present a robust database for genomic research of melanoma risk and melanocyte biology.