Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 May 24;188(6):770-776.
doi: 10.1093/bjd/ljad041.

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

Affiliations

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

Courtney K Wallingford et al. Br J Dermatol. .

Abstract

Background: 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.

PubMed Disclaimer

Conflict of interest statement

Conflicts of interest H.P.S. is a shareholder of MoleMap NZ Limited and e-derm consult GmbH, and undertakes regular teledermatological reporting for both companies; he is also a Medical Consultant for Canfield Scientific Inc., Blaze Bioscience Inc., MoleMap Australia Pty Limited, and a Medical Advisor for First Derm and Revenio Research Oy. The other authors state no conflicts of interest.

Comment in

References

    1. American Cancer Society . Cancer Facts & Figures 2020. Atlanta (GA): ACC, 2020. Available at: https://www.cancer.org/research/cancer-facts-statistics/all-cancer-facts...:∼:text=The Facts %26 Figures annual report provides%3A 1, cancer symptoms%2C risk factors%2C early detection%2C and treatment (last accessed 22 March 2023).
    1. Australian Institute of Health and Welfare . Cancer in Australia: in brief. 2019. Available at: https://www.aihw.gov.au/reports/cancer/cancer-in-australia-2019-in-brief... (last accessed 22 March 2023).
    1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin 2019; 69:7–34. 10.3322/caac.21551. - DOI - PubMed
    1. Wernli KJ, Henrikson NB, Morrison CC et al. Screening for skin cancer in adults: updated evidence report and systematic review for the US Preventive Services Task Force. JAMA 2016; 316:436–47. 10.1001/jama.2016.5415. - DOI - PubMed
    1. Wilson ECF, Usher-Smith JA, Emery J et al. A modeling study of the cost-effectiveness of a risk-stratified surveillance program for melanoma in the United Kingdom. Value Health 2018; 21:658–68. 10.1016/j.jval.2017.11.009. - DOI - PubMed

MeSH terms

Substances

Grants and funding