Author
Listed:
- Jiyeon Choi
(National Cancer Institute)
- Tongwu Zhang
(National Cancer Institute)
- Andrew Vu
(National Cancer Institute)
- Julien Ablain
(Boston Children’s Hospital and Dana-Farber Cancer Institute)
- Matthew M. Makowski
(Radboud University Nijmegen)
- Leandro M. Colli
(National Cancer Institute)
- Mai Xu
(National Cancer Institute)
- Rebecca C. Hennessey
(National Cancer Institute)
- Jinhu Yin
(National Cancer Institute)
- Harriet Rothschild
(Boston Children’s Hospital and Dana-Farber Cancer Institute)
- Cathrin Gräwe
(Radboud University Nijmegen)
- Michael A. Kovacs
(National Cancer Institute)
- Karen M. Funderburk
(National Cancer Institute)
- Myriam Brossard
(Université de Paris, UMRS-1124, Institut National de la Santé et de la Recherche Médicale (INSERM))
- John Taylor
(University of Leeds)
- Bogdan Pasaniuc
(University of California, Los Angeles)
- Raj Chari
(Frederick National Lab for Cancer Research, National Cancer Institute)
- Stephen J. Chanock
(National Cancer Institute)
- Clive J. Hoggart
(Imperial College London)
- Florence Demenais
(Université de Paris, UMRS-1124, Institut National de la Santé et de la Recherche Médicale (INSERM))
- Jennifer H. Barrett
(University of Leeds)
- Matthew H. Law
(Statistical Genetics, QIMR Berghofer Medical Research Institute)
- Mark M. Iles
(University of Leeds)
- Kai Yu
(National Cancer Institute)
- Michiel Vermeulen
(Radboud University Nijmegen)
- Leonard I. Zon
(Boston Children’s Hospital and Dana-Farber Cancer Institute)
- Kevin M. Brown
(National Cancer Institute)
Abstract
Genome-wide association studies (GWAS) have identified ~20 melanoma susceptibility loci, most of which are not functionally characterized. Here we report an approach integrating massively-parallel reporter assays (MPRA) with cell-type-specific epigenome and expression quantitative trait loci (eQTL) to identify susceptibility genes/variants from multiple GWAS loci. From 832 high-LD variants, we identify 39 candidate functional variants from 14 loci displaying allelic transcriptional activity, a subset of which corroborates four colocalizing melanocyte cis-eQTL genes. Among these, we further characterize the locus encompassing the HIV-1 restriction gene, MX2 (Chr21q22.3), and validate a functional intronic variant, rs398206. rs398206 mediates the binding of the transcription factor, YY1, to increase MX2 levels, consistent with the cis-eQTL of MX2 in primary human melanocytes. Melanocyte-specific expression of human MX2 in a zebrafish model demonstrates accelerated melanoma formation in a BRAFV600E background. Our integrative approach streamlines GWAS follow-up studies and highlights a pleiotropic function of MX2 in melanoma susceptibility.
Suggested Citation
Jiyeon Choi & Tongwu Zhang & Andrew Vu & Julien Ablain & Matthew M. Makowski & Leandro M. Colli & Mai Xu & Rebecca C. Hennessey & Jinhu Yin & Harriet Rothschild & Cathrin Gräwe & Michael A. Kovacs & K, 2020.
"Massively parallel reporter assays of melanoma risk variants identify MX2 as a gene promoting melanoma,"
Nature Communications, Nature, vol. 11(1), pages 1-16, December.
Handle:
RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16590-1
DOI: 10.1038/s41467-020-16590-1
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