2017
DOI: 10.1038/ng.3927
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A common intronic variant of PARP1 confers melanoma risk and mediates melanocyte growth via regulation of MITF

Abstract: 16Prior genome-wide association studies have identified a melanoma-associated locus on 17 chr1q42.1 that encompasses a ~100 kb region spanning the PARP1 gene. eQTL analysis in 18 multiple cell types of melanocytic lineage consistently demonstrated that the 1q42.1 melanoma 19 risk allele (rs3219090, G) is correlated with higher PARP1 levels. In silico fine-mapping and 20 functional validation identified a common intronic indel, rs144361550 (-/GGGCCC, r 2 =0.947 21 with rs3219090) as displaying allele-specific t… Show more

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Cited by 51 publications
(46 citation statements)
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“…Consistent with a previous report (The GTEx Consortium 2017), only 66% (4 of 6 loci) but not all of melanoma GWAS signal colocalized with the nearest expressed gene in one or more of the three datasets. Importantly, melanocyte eQTL (but not the skin datasets) validated PARP1 as a target gene on the locus at Chr1q42.12, which was previously characterized as a melanoma susceptibility gene displaying melanocyte lineagespecific function (Choi et al 2017) (Fig. 4).…”
Section: Melanocyte Eqtls Identified Candidate Melanoma Susceptibilitmentioning
confidence: 75%
“…Consistent with a previous report (The GTEx Consortium 2017), only 66% (4 of 6 loci) but not all of melanoma GWAS signal colocalized with the nearest expressed gene in one or more of the three datasets. Importantly, melanocyte eQTL (but not the skin datasets) validated PARP1 as a target gene on the locus at Chr1q42.12, which was previously characterized as a melanoma susceptibility gene displaying melanocyte lineagespecific function (Choi et al 2017) (Fig. 4).…”
Section: Melanocyte Eqtls Identified Candidate Melanoma Susceptibilitmentioning
confidence: 75%
“…To further assess the accuracy of our predictions and compare with existing approaches we use variants in the literature that have been experimentally shown to have a regulatory function. We focus on several main lists of variants: (a) eight variants implicated in Mendelian and complex diseases, with additional experimental validation of their functional effects [56]- [63], (b) confirmed regulatory variants from a multiplexed reporter assay in lymphoblastoid cell lines [64], (c) regulatory motifs in 2, 000 predicted human enhancers using a massively parallel reporter assay in two human cell lines, liver carcinoma (HepG2) and erythrocytic leukemia (K562) cell lines [65], and (d) validated enhancers in 167 ultra conserved sequence elements [66].…”
Section: Validations Of Our Model's Predictions and Comparisons Withmentioning
confidence: 99%
“…Noncoding variants implicated in Mendelian and complex traits with experimentally predicted regulatory function. We selected the following eight SNPs that have been shown experimentally to have a regulatory function in particular tissues: rs6801957 [56], rs12821256 [57], rs12350739 [58], rs12740374 [59], rs356168 [60], rs2473307 [61], rs227727 [62], and rs144361550 [63]. In Figure 4, Supplemental Figures S6-S11 we show the predictions in ∼ 2 kb windows centered at these SNPs from the different approaches: FUN-LDA, GenoSkyline, ChromHMM (25 state model), Segway and IDEAS.…”
Section: 41mentioning
confidence: 99%
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