ArticleAmerican journal of human genetics2025
Mapping chromatin interactions at melanoma susceptibility loci uncovers distant cis-regulatory gene targets.
Article in American journal of human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Functional characterization of the 9q34.13 locus identifies RAPGEF1 as a candidate gene modulating risk for melanoma and nevi via RAS activation.American journal of human genetics · 2026Article
- Disruption of CTCF binding by germline non-coding variants inmedRxiv : the preprint server for health sciences · 2026Article
- A high-penetrance intergenic variant at 9p21 confers melanoma susceptibility.Research square · 2026Article
- Functional characterization of the 9q34.13 locus identifiesbioRxiv : the preprint server for biology · 2026Article
- Functional characterization of a multi-cancer risk locus on chromosome band 2q33.1 nearbioRxiv : the preprint server for biology · 2026Article
- Uniform processing and analysis of IGVF massively parallel reporter assay data with MPRAsnakeflow.bioRxiv : the preprint server for biology · 2025Article
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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.
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