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

Author:

Wallingford Courtney K1ORCID,Demeshko Anastassia1,Krishnakripa Asha Krishnankutty1,Smit Darren J1ORCID,Duffy David L12ORCID,Betz-Stablein Brigid12,Pflugfelder Annette3ORCID,Jagirdar Kasturee14ORCID,Holland Elizabeth5,Mann Graham J67,Primiero Clare A1,Yanes Tatiane 1ORCID,Malvehy Josep89,Badenas Cèlia910,Carrera Cristina89,Aguilera Paula89,Olsen Catherine M  12ORCID,Ward Sarah V11,Haass Nikolas K1ORCID,Sturm Richard A1ORCID,Puig Susana 89,Whiteman David C  2ORCID,Law Matthew H121314ORCID,Cust Anne E56ORCID,Potrony Miriam910,Soyer H  Peter 115ORCID,McInerney-Leo Aideen M1ORCID

Affiliation:

1. Frazer Institute, University of Queensland, Dermatology Research Centre , Brisbane , Australia

2. QIMR Berghofer Medical Research Institute , 300 Herston Road, Herston, Queensland , Australia

3. Center of Dermato-Oncology, Department of Dermatology, University of Tübingen , Tübingen , Germany

4. Biochemistry and Molecular Biology Department, Johns Hopkins Bloomberg School of Public Health , Baltimore, MD , USA

5. The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW , Sydney , Australia

6. The Melanoma Institute Australia, Faculty of Medicine and Health, The University of Sydney , Sydney , Australia

7. John Curtin School of Medical Research, Australian National University , Canberra, Australian Capital Territory , Australia

8. Dermatology Department, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona , Barcelona , Spain

9. Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER) , Barcelona , Spain

10. Biochemistry and Molecular Genetics Department, Hospital Clínic de Barcelona, IDIBAPS , Barcelona , Spain

11. School of Population and Global Health, The University of Western Australia , Perth, WA , Australia

12. Statistical Genetics, QIMR Berghofer Medical Research Institute , 300 Herston Rd, Herston, QLD, 4006 , Australia

13. School of Biomedical Sciences, Faculty of Health, Queensland University of Technology , Brisbane, Queensland , Australia

14. School of Biomedical Sciences, University of Queensland , Brisbane , Australia

15. Dermatology Department, Princess Alexandra Hospital , Brisbane , Australia

Abstract

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.

Funder

National Health and Medical Research Council

Australian NHMRC project

NSW State Government

Australian Government

Cancer Council New South Wales

Cancer Council Victoria

Cancer Council Queensland

National Institutes of Health

Spanish Fondo de Investigaciones Sanitarias

Instituto de Salud Carlos III

Generalitat de Catalunya

European Commission

Fundació La Marató de TV3

University of Western Australia

Publisher

Oxford University Press (OUP)

Subject

Dermatology

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