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The MC1R r allele does not increase melanoma risk in MITF E318K carriers

dc.contributor.authorWallingford, Courtney K.
dc.contributor.authorDemeshko, Anastassia
dc.contributor.authorKrishnankutty Krishnakripa, Asha
dc.contributor.authorSmit, Darren J
dc.contributor.authorDuffy, David L.
dc.contributor.authorBetz-Stablein, Brigid
dc.contributor.authorPflugfelder, Annette
dc.contributor.authorJagirdar, Kasturee
dc.contributor.authorHolland, Elizabeth A.
dc.contributor.authorMann, Graham
dc.contributor.authorPrimiero, Clare A.
dc.date.accessioned2024-07-09T05:11:42Z
dc.date.available2024-07-09T05:11:42Z
dc.date.issued2023
dc.date.updated2024-05-19T08:17:09Z
dc.description.abstractBackground Population-wide screening for melanoma is not cost-effective, but genetic characterization could facilitate risk stratification and targeted screening. Common Melanocortin-1 receptor (MC1R) red hair colour (RHC) variants and Microphthalmia-associated transcription factor (MITF) E318K separately confer moderate melanoma susceptibility, but their interactive effects are relatively unexplored. Objectives To evaluate whether MC1R genotypes differentially affect melanoma risk in MITF E318K+ vs. E318K– individuals. Materials and methods Melanoma status (affected or unaffected) and genotype data (MC1R and MITF E318K) were collated from research cohorts (five Australian and two European). In addition, RHC genotypes from E318K+ individuals with and without melanoma were extracted from databases (The Cancer Genome Atlas and Medical Genome Research Bank, respectively). χ2 and logistic regression were used to evaluate RHC allele and genotype frequencies within E318K+/– cohorts depending on melanoma status. Replication analysis was conducted on 200 000 general-population exomes (UK Biobank). Results The cohort comprised 1165 MITF E318K– and 322 E318K+ individuals. In E318K– cases MC1R R and r alleles increased melanoma risk relative to wild type (wt), P < 0.001 for both. Similarly, each MC1R RHC genotype (R/R, R/r, R/wt, r/r and r/wt) increased melanoma risk relative to wt/wt (P < 0.001 for all). In E318K+ cases, R alleles increased melanoma risk relative to the wt allele [odds ratio (OR) 2.04 (95% confidence interval 1.67–2.49); P = 0.01], while the r allele risk was comparable with the wt allele [OR 0.78 (0.54–1.14) vs. 1.00, respectively]. E318K+ cases with the r/r genotype had a lower but not significant melanoma risk relative to wt/wt [OR 0.52 (0.20–1.38)]. Within the E318K+ cohort, R genotypes (R/R, R/r and R/wt) conferred a significantly higher risk compared with non-R genotypes (r/r, r/wt and wt/wt) (P < 0.001). UK Biobank data supported our findings that r did not increase melanoma risk in E318K+ individuals. Conclusions RHC alleles/genotypes modify melanoma risk differently in MITF E318K– and E318K+ individuals. Specifically, although all RHC alleles increase risk relative to wt in E318K– individuals, only MC1R R increases melanoma risk in E318K+ individuals. Importantly, in the E318K+ cohort the MC1R r allele risk is comparable with wt. These findings could inform counselling and management for MITF E318K+ individuals.
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0007-0963
dc.identifier.urihttps://hdl.handle.net/1885/733713820
dc.language.isoen_AUen_AU
dc.provenanceThis is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
dc.publisherWiley-Blackwell
dc.relationhttp://purl.org/au-research/grants/nhmrc/1158111
dc.rights© 2023 The authors
dc.rights.licenseCreative Commons Attribution licence
dc.rights.urihttp://creativecommons.org/licenses/ by-nc/4.0/
dc.sourceBritish Journal of Dermatology
dc.titleThe MC1R r allele does not increase melanoma risk in MITF E318K carriers
dc.typeJournal article
dcterms.accessRightsOpen Access
local.bibliographicCitation.issue6
local.bibliographicCitation.lastpage776
local.bibliographicCitation.startpage770
local.contributor.affiliationWallingford, Courtney K., University of Queensland
local.contributor.affiliationDemeshko, Anastassia, University of Queensland
local.contributor.affiliationKrishnankutty Krishnakripa, Asha, University of Queensland
local.contributor.affiliationSmit, Darren J, University of Queensland
local.contributor.affiliationDuffy, David L., University of Queensland
local.contributor.affiliationBetz-Stablein, Brigid, University of Queensland
local.contributor.affiliationPflugfelder, Annette, University Medical Center Tubingen
local.contributor.affiliationJagirdar, Kasturee, University of Queensland
local.contributor.affiliationHolland, Elizabeth A., University of Sydney
local.contributor.affiliationMann, Graham, College of Health and Medicine, ANU
local.contributor.affiliationPrimiero, Clare A., University of Queensland
local.contributor.authoruidMann, Graham, u1086065
local.description.notesImported from ARIES
local.identifier.absfor320205 - Dermatology
local.identifier.absfor321103 - Cancer genetics
local.identifier.ariespublicationa383154xPUB41744
local.identifier.citationvolume188
local.identifier.doi10.1093/bjd/ljad041
local.identifier.scopusID2-s2.0-85160213433
local.publisher.urlhttps://academic.oup.com/
local.type.statusPublished Version

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