Massively parallel reporter assays of melanoma risk variants identify MX2 as a gene promoting melanoma.
Jiyeon ChoiTongwu ZhangAndrew VuJulien AblainMatthew M MakowskiLeandro M ColliMai XuRebecca C HennesseyJinhu YinHarriet RothschildCathrin GräweMichael A KovacsKaren M FunderburkMyriam BrossardJohn C TaylorBogdan PasaniucRaj ChariStephen J ChanockClive J HoggartFlorence DemenaisJennifer H BarrettMatthew H LawMark M IlesKai YuMichiel VermeulenLeonard I ZonKevin K BrownPublished in: Nature communications (2020)
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.
Keyphrases
- genome wide
- copy number
- genome wide association
- dna methylation
- genome wide association study
- transcription factor
- skin cancer
- endothelial cells
- genome wide identification
- poor prognosis
- gene expression
- high throughput
- crispr cas
- binding protein
- basal cell carcinoma
- hiv infected
- hiv positive
- hepatitis c virus
- hiv aids
- single cell
- heat shock
- genome wide analysis
- network analysis
- men who have sex with men