Nature Communications (Jun 2020)
Massively parallel reporter assays of melanoma risk variants identify MX2 as a gene promoting melanoma
- 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,
- Karen M. Funderburk,
- Myriam Brossard,
- John Taylor,
- Bogdan Pasaniuc,
- Raj Chari,
- Stephen J. Chanock,
- Clive J. Hoggart,
- Florence Demenais,
- Jennifer H. Barrett,
- Matthew H. Law,
- Mark M. Iles,
- Kai Yu,
- Michiel Vermeulen,
- Leonard I. Zon,
- Kevin M. Brown
Affiliations
- Jiyeon Choi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute
- Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute
- Andrew Vu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute
- Julien Ablain
- Stem Cell Program and Division of Hematology/Oncology, Boston Children’s Hospital and Dana-Farber Cancer Institute
- Matthew M. Makowski
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute, Radboud University Nijmegen
- Leandro M. Colli
- Division of Cancer Epidemiology and Genetics, National Cancer Institute
- Mai Xu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute
- Rebecca C. Hennessey
- Division of Cancer Epidemiology and Genetics, National Cancer Institute
- Jinhu Yin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute
- Harriet Rothschild
- Stem Cell Program and Division of Hematology/Oncology, Boston Children’s Hospital and Dana-Farber Cancer Institute
- Cathrin Gräwe
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute, Radboud University Nijmegen
- Michael A. Kovacs
- Division of Cancer Epidemiology and Genetics, National Cancer Institute
- Karen M. Funderburk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute
- Myriam Brossard
- Université de Paris, UMRS-1124, Institut National de la Santé et de la Recherche Médicale (INSERM)
- John Taylor
- Leeds Institute for Data Analytics, School of Medicine, University of Leeds
- Bogdan Pasaniuc
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles
- Raj Chari
- Genome Modification Core, Frederick National Lab for Cancer Research, National Cancer Institute
- Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute
- Clive J. Hoggart
- Department of Medicine, Imperial College London
- Florence Demenais
- Université de Paris, UMRS-1124, Institut National de la Santé et de la Recherche Médicale (INSERM)
- Jennifer H. Barrett
- Leeds Institute for Data Analytics, School of Medicine, University of Leeds
- Matthew H. Law
- Statistical Genetics, QIMR Berghofer Medical Research Institute
- Mark M. Iles
- Leeds Institute for Data Analytics, School of Medicine, University of Leeds
- Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute
- Michiel Vermeulen
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute, Radboud University Nijmegen
- Leonard I. Zon
- Stem Cell Program and Division of Hematology/Oncology, Boston Children’s Hospital and Dana-Farber Cancer Institute
- Kevin M. Brown
- Division of Cancer Epidemiology and Genetics, National Cancer Institute
- DOI
- https://doi.org/10.1038/s41467-020-16590-1
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 16
Abstract
There are more than 20 known melanoma susceptibility genes. Here, using a massively parallel reporter assay, the authors identify risk-associated variants that alter gene transcription, and demonstrate that expression of one such gene, MX2, leads to the promotion of melanoma in a zebrafish model.
