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Mapping chromatin interactions at melanoma susceptibility loci uncovers distant cis-regulatory gene targets

  1. Author:
    Thakur, Rohit
    Xu, Mai
    Sowards, Hayley
    Yon, Joshuah
    Jessop, Lea
    Myers, Timothy
    Zhang, Tongwu
    Chari,Rajagopal
    Long, Erping
    Rehling, Thomas
    Hennessey, Rebecca
    Funderburk, Karen
    Yin, Jinhu
    Machiela, Mitchell J
    Johnson, Matthew E
    Wells, Andrew D
    Chesi, Alessandra
    Grant, Struan F A
    Iles, Mark M
    Landi, Maria Teresa
    Law, Matthew H
    Choi, Jiyeon
    Brown, Kevin M
  2. Author Address

    Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA., Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA., Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA., Genome Modification Core, Frederick National Lab for Cancer Research, Frederick, MD, USA., Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA; Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China., Division of Human Genetics, Children's Hospital of Philadelphia Research Institute, Philadelphia, PA, USA., Center for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Leeds Institute for Data Analytics, University of Leeds, Leeds, UK; NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK., Population Health Department, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia; School of Biomedical Sciences, University of Queensland, Brisbane, QLD, Australia., Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA. Electronic address: kevin.brown3@nih.gov.,
    1. Year: 2025
    2. Date: May 16
    3. Epub Date: 2025 05 16
  1. Journal: American Journal of Human Genetics
  2. Type of Article: Article
  1. Abstract:

    Genome-wide association studies (GWASs) of melanoma risk have identified 68 independent signals at 54 loci. For most loci, specific functional variants and their respective target genes remain to be established. Capture-HiC is an assay that links fine-mapped risk variants to candidate target genes by comprehensively mapping chromatin interactions. We performed a melanoma GWAS region-focused capture-HiC assay in human primary melanocytes to identify physical interactions between fine-mapped risk variants and potential causal melanoma-susceptibility genes. Overall, chromatin-interaction data alone nominated potential causal genes for 61 of the 68 melanoma risk signals, identifying many candidates beyond those reported by previous studies. We further integrated these data with epigenomic (chromatin state, accessibility), gene expression (expression quantitative trait locus [eQTL]/transcriptome-wide association study [TWAS]), DNA methylation (methylation QTL [meQTL]/methylome-wide association study [MWAS]), and massively parallel reporter assay (MPRA) data generated from melanoma-relevant cell types to prioritize potentially cis-regulatory variants and their respective candidate gene targets. From the set of fine-mapped variants across these loci, we identified 140 prioritized credible causal variants linked to 195 candidate genes at 42 risk signals. In addition, we developed an integrative scoring system to facilitate candidate gene prioritization, integrating melanocyte and melanoma datasets. Notably, at several GWAS risk signals, we observed long-range chromatin connections (500 kb to >1 Mb) with distant candidate target genes. We validated several such cis-regulatory interactions using CRISPR inhibition, providing evidence for known cancer driver genes MDM4 and CBL, as well as the SRY-box transcription factor SOX4, as likely melanoma risk genes. Published by Elsevier Inc.

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External Sources

  1. DOI: 10.1016/j.ajhg.2025.04.015
  2. PMID: 40409268
  3. PII : S0002-9297(25)00178-8

Library Notes

  1. Fiscal Year: FY2024-2025
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