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. 2015 Mar 19;10(3):e0119920. doi: 10.1371/journal.pone.0119920

Inherited Variation at MC1R and Histological Characteristics of Primary Melanoma

Nicholas J Taylor 1, Klaus J Busam 2, Lynn From 3, Pamela A Groben 4, Hoda Anton-Culver 5, Anne E Cust 6, Colin B Begg 7, Terence Dwyer 8, Richard P Gallagher 9, Stephen B Gruber 10, Irene Orlow 7, Stefano Rosso 11, Nancy E Thomas 12, Roberto Zanetti 11, Timothy R Rebbeck 13,14, Marianne Berwick 15, Peter A Kanetsky 1,*
Editor: Soheil S Dadras16
PMCID: PMC4366050  PMID: 25790105

Abstract

Variation in the melanocortin-1receptor (MC1R) gene is associated with pigmentary phenotypes and risk of malignant melanoma. Few studies have reported on MC1R variation with respect to tumor characteristics, especially clinically important prognostic features. We examined associations between MC1R variants and histopathological melanoma characteristics. Study participants were enrolled from nine geographic regions in Australia, Canada, Italy and the United States and were genotyped for MC1R variants classified as high-risk [R] (D84E, R142H, R151C, R160W, and D294H, all nonsense and insertion/deletion) or low-risk [r] (all other nonsynonymous) variants. Tissue was available for 2,160 white participants of the Genes, Environment and Melanoma (GEM) Study with a first incident primary melanoma diagnosis, and underwent centralized pathologic review. No statistically significant associations were observed between MC1R variants and AJCC established prognostic tumor characteristics: Breslow thickness, presence of mitoses or presence of ulceration. However, MC1R was significantly associated with anatomic site of melanoma (p = 0.002) and a positive association was observed between carriage of more than one [R] variant and melanomas arising on the arms (OR = 2.39; 95% CI: 1.40, 4.09). We also observed statistically significant differences between sun-sensitive and sun-resistant individuals with respect to associations between MC1R genotype and AJCC prognostic tumor characteristics. Our results suggest inherited variation in MC1R may play an influential role in anatomic site presentation of melanomas and may differ with respect to skin pigmentation phenotype.

Introduction

Inherited variation in the melanocortin-1 receptor (MC1R) gene is a robust genetic marker for moderately increased risk of melanoma [1]. We hypothesize that variation in MC1R influences the occurrence of melanomas that can be distinguished by histology or other tumor characteristics. However, evidence supporting a consistent association between MC1R variation and melanoma tumor characteristics is limited. Direct cross-study comparisons are hindered due in part to a lack of standardized measures and characterization of MC1R risk variants [2], coupled with differences in categorization of melanoma characteristics (e.g. collapsing of anatomic site presentation).

To more thoroughly address whether MC1R variants are associated with tumor characteristics, we present results from individuals diagnosed with a first incident primary tumor in a large population-based case-control study of melanoma: the Genes, Environment and Melanoma (GEM) Study. We examined associations between variation in MC1R and American Joint Committee on Cancer (AJCC) established tumor characteristics that are associated with prognosis: Breslow thickness and presence of mitoses and ulceration [38], as well as with presence of tumor infiltrating lymphocytes (TILs), a purported prognostic factor [9]. We also evaluated other histopathological tumor features for associations with MC1R variation in an effort to further characterize potential etiologic heterogeneity.

Materials and Methods

GEM Study

The GEM Study is a population-based case-control study that enrolled a large series of individuals diagnosed with a first incident invasive primary cutaneous melanoma. Study participants were identified from eight population-based cancer registries and one hospital center in Australia, Canada, Italy and the United States. Detailed study recruitment methods have been previously described [10,11]. The human research oversight committees at each of the GEM study sites, including those at the British Columbia Cancer Agency, Vancouver, BC, CA; Cancer Care Ontario, Toronto, ON, CA; Centro per la Prevenzione Oncologia, Torino, IT; Memorial Sloan Kettering Cancer Center, New York, NY, US; Menzies Cancer Center, Hobart, TAS, AU; University of California, Irvine, CA, US; University of Michigan, Ann Arbor, MI, US; University of North Carolina, Chapel Hill, NC, US; and University of Sydney, Sydney, NSW, AU, approved the study protocol. Written and signed informed consent was obtained from all participants.

Diagnostic pathology reports were obtained for each participant with a first incident primary melanoma (n = 2,424) from the appropriate ascertainment center, and data corresponding to histological subtype, lesion thickness, and anatomic location of lesion were abstracted. Tumor tissue slides for 2,105 (86.8%) participants with a diagnosis of first incident melanoma were available for centralized pathological review, performed in large part by one of three study pathologists (KB, LF, PG). Standardized pathologic review of slides included evaluation of: histologic subtype, Breslow thickness, Clark level, mitoses, solar elastosis, TILs, presence of satellite lesions, presence of coexisting nevi, presence of pigmentation, evidence of lesion regression, ulceration, and vertical growth phase. Melanomas were classified according to established histopathological criteria [12,13]. Since Breslow thickness was both abstracted from the pathology report and recorded during the centralized pathologic review, the measure corresponding to the deepest reading was chosen to represent the value of most biological relevance.

Using a glossy colored guide to aid in differentiating between nevi and other skin lesions, participants were asked to have the nevi on their backs counted by a family member or friend; logistic models were adjusted for this continuous variable. A phenotypic index was derived using data collected from a study participant self-administered questionnaire [14], and was based on: hair color (black or dark brown = 1; light brown or blond = 2; red = 3), eye color (black or brown = 0; all other colors = 1), and relative inability to tan in response to sun exposure (no = 0; yes = 1) [15]. Phenotypic index scores of 1 and 2 indicate relatively darker cutaneous phenotypes and lower phenotypic melanoma risk; an index score of 3 indicates medium phenotypic risk. Hereinafter, we refer to individuals with any of these three scores as having a “sun-resistant” phenotype. Phenotypic index scores of 4 and 5 indicate relatively fairer cutaneous phenotypes and higher phenotypic risks for melanoma, hereinafter referred to as “sun sensitive”.

MC1R Genotyping

Details of MC1R genotyping methods, distribution of observed MC1R variants, and variant carrier status among GEM Study participants have been described previously [15,16]. We adopted nomenclature and definitions based on previous literature [1,1720] to classify MC1R variants as conferring higher risk for melanoma based on strong association with red hair phenotype [R] (D84E, R142H, R151C, R160W, and D294H, all nonsense and insertion/deletion) or lower risk for melanoma based on weaker association with red hair phenotype [r] (all other nonsynonymous variants). Since the exact functional status of many MC1R variants is still unknown, we acknowledge that these risk categories may be inaccurate. We categorized MC1R carriage into four groups: consensus (absence of any variants), only [r] (carriage of any [r] variant in the absence of a [R] variant), one [R] (carriage of a single [R] variant), and >1 [R] (carriage of more than 1 [R] variant). Secondarily, we examined associations between MC1R variant carriage number and tumor characteristics by coding MC1R genotype based on total number of variants ([r] and [R]; 0 variants vs. 1 variant vs. 2 or more variants).

Statistical Analysis

For this report, we include only those GEM participants with first incident primary melanomas who were successfully genotyped for MC1R and who self-reported their race as white (n = 2,160). We used SAS (SAS Institute, Cary, NC) to perform multinomial logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between MC1R variant status and tumor characteristics while adjusting for sex, age at most recent melanoma diagnosis, study ascertainment center, phenotypic index and number of nevi on the back. For tumor characteristics that were modeled dichotomously, results are equivalent to those obtained from a binomial logistic regression model. We also conducted analyses stratified by sun-resistant and sun-sensitive phenotypes; we then evaluated the Wald p-value of the interaction term for sun sensitivity by MC1R to assess heterogeneity of effect between sun-sensitive and sun-resistant phenotypes. All statistical tests were two-sided with an alpha level of 0.05.

Results

Overall, tumor characteristics were not associated with genotyping success (data not shown). In univariate analyses, we compared the distributions of MC1R genotype risk categories across strata of prognostic tumor characteristics including: Breslow thickness and presence of mitoses, ulceration, or TILs. No statistically significant associations were noted among these tumor characteristics. We did observe a statistically significant association between anatomical site and MC1R variant carriage based on low-[r] and high-[R] risk variant carriage (p = 0.002) (Table 1). Our findings with respect to MC1R variant carriage number were consistent with no association (data not tabulated).

Table 1. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between MC1R variants and histopathological tumor characteristics among first incident cases of invasive melanoma in the GEM Study.

Consensus Only r 1 One R 2 >1 R 2 Only r 1 vs. consensus One R 2 vs. consensus >1 R 2 vs. consensus
Tumor characteristic n %* n %* n %* n %* OR 3 95% CI OR 3 95% CI OR 3 95% CI
Breslow thickness (mm)
0.01–1.00 251 18 464 33 562 40 136 10 1.00 1.00 1.00
1.01–2.00 60 14 141 33 181 43 42 10 1.21 0.85–1.72 1.34 0.95–1.90 1.38 0.83–2.28
>2.00 49 17 103 33 107 37 32 11 1.12 0.75–1.65 0.94 0.63–1.39 1.02 0.58–1.79
p = 0.45
Mitoses
Absent 173 17 315 32 408 41 96 10 1.00 1.00 1.00
Present 120 16 260 35 293 39 81 11 1.06 0.79–1.43 1.01 0.76–1.36 1.16 0.76–1.78
p = 0.56
Ulceration
Absent 267 17 526 33 636 40 158 10 1.00 1.00 1.00
Present 26 17 47 31 61 40 18 12 0.81 0.48–1.37 0.99 0.59–1.64 1.38 0.67–2.85
p = 0.85
Tumor infiltrating lymphocytes
Absent 59 15 126 33 156 41 43 11 1.00 1.00 1.00
Non-brisk 197 18 367 33 439 39 112 10 0.89 0.61–1.30 0.93 0.64–1.34 1.09 0.63–1.87
Brisk 34 15 79 34 100 43 21 9 1.07 0.63–1.82 1.09 0.65–1.84 0.93 0.43–2.02
p = 0.81
Anatomic location
Trunk or pelvis 158 17 323 34 402 42 73 8 1.00 1.00 1.00
Head or neck 59 18 123 36 131 39 25 7 1.11 0.75–1.63 0.85 0.58–1.25 0.89 0.48–1.65
Arms 55 14 137 34 157 39 56 14 1.30 0.88–1.92 1.13 0.77–1.66 2.39 1.40–4.09
Legs 93 20 138 30 174 38 56 12 0.85 0.60–1.22 0.80 0.56–1.13 1.42 0.84–2.41
p = 0.002
Clark level
II 120 17 234 33 294 41 73 10 1.00 1.00 1.00
III 94 20 154 32 182 38 48 10 0.79 0.56–1.12 0.74 0.53–1.05 0.72 0.43–1.21
IV & V 79 15 185 34 222 41 56 10 1.28 0.88–1.86 1.36 0.94–1.96 1.36 0.80–2.30
p = 0.59
Coexisting nevus
None identified 231 18 442 33 524 40 125 10 1.00 1.00 1.00
Common acquired 28 12 77 32 102 42 37 15 1.33 0.83–2.14 1.38 0.86–2.19 1.61 0.87–2.97
Dysplastic 35 17 67 32 89 43 17 8 0.87 0.54–1.38 0.98 0.62–1.54 0.96 0.48–1.93
Congenital 8 24 11 33 11 33 3 9 0.81 0.30–2.20 0.83 0.30–2.26 0.65 0.14–2.99
p = 0.16
Histological type
Superficial spreading 267 18 472 32 577 40 146 10 1.00 1.00 1.00
Nodular 21 12 67 37 74 40 21 12 1.61 0.98–2.74 1.45 0.85–2.45 1.58 0.77–3.26
Lentigo maligna 34 17 66 33 80 40 18 9 1.16 0.72–1.88 1.11 0.69–1.78 0.91 0.44–1.89
Not otherwise specified 40 15 98 36 112 42 19 7 1.41 0.91–2.19 1.25 0.81–1.94 0.89 0.45–1.78
p = 0.28
Pigmentation
Present 280 17 545 33 665 40 161 10 1.00 1.00 1.00
Absent 22 14 53 33 67 41 21 13 1.23 0.71–2.15 1.17 0.68–2.02 1.37 0.66–2.86
p = 0.54
Regression
Absent 201 16 410 33 488 40 130 11 1.00 1.00 1.00
Present 101 17 190 33 241 41 52 9 1.10 0.79–1.54 1.19 0.86–1.65 0.95 0.58–1.56
p = 0.73
Satellite
Absent 199 18 374 33 437 39 113 10 1.00 1.00 1.00
Present 1 8 6 50 3 25 2 17 2.30 0.26–20.15 0.77 0.07–8.80 1.36 0.07–26.83
p = 0.57
Solar elastosis
Absent 105 17 206 33 263 42 60 10 1.00 1.00 1.00
Present 194 17 378 33 453 40 119 10 1.08 0.76–1.52 1.02 0.73–1.43 1.30 0.79–2.14
p = 0.79
Vertical growth phase
Absent 106 17 207 33 249 40 60 10 1.00 1.00 1.00
Present 185 17 364 33 450 40 117 11 1.03 0.75–1.41 1.07 0.79–1.46 1.15 0.73–1.83
p = 0.77

* Row percentages are presented

Potential prognostic factor based on Thomas et al., J Clin Oncology, 2013. Vol. 33, Num. 33: 4252–59

1 r indicates carriage of V60L, V92M, I115T, R163Q, or rare nonsynonymous variants in the absence of a R variant.

2 R indicates carriage of D84E, R142H, R151C, R160W, D294H, nonsense or insertion/deletion variants.

3 ORs are adjusted for center, sex, age at melanoma diagnosis, phenotypic index, and total body mole density

Multivariate analyses are also presented in Table 1. No statistically significant associations were noted among prognostic tumor characteristics. However, our adjusted analyses revealed a strong association between carriage of more than one MC1R [R] variant and melanoma development on the arms (OR = 2.39; 95% CI: 1.40, 4.09) when compared to individuals who developed melanomas on the trunk or pelvis. Associations between MC1R variants and strata of other melanoma tumor characteristics were consistent with no association after adjustment.

Because previous reports have indicated that melanoma risk associated with carriage of high-risk [R] MC1R variants is particularly informative among individuals with darker phenotypic characteristics [21], we explored associations between MC1R variants and the four prognostic tumor characteristics by skin pigmentation phenotype. We noted statistical heterogeneity between individuals with sun-sensitive and sun-resistant phenotypes for the associations between MC1R variants and Breslow thickness (p = 0.03), presence of mitoses (p = 0.03), presence of ulceration (p = 0.04), as well as presence of TILs (p = 0.01) (Table 2). We observed relatively stronger associations between Breslow thickness and MC1R among sun-sensitive individuals. Similarly, we noted pronounced positive associations between carriage of only [r] variants (vs. carriage of only consensus) and presence of mitoses and ulceration among sun-sensitive individuals, whereas carriage of only [r] variants among sun-resistant participants showed little or no association with presence of mitoses and an inverse association with presence of ulceration. We found carriage of [R] variants was more prevalent among sun-sensitive individuals with non-brisk TILs observed in their melanomas compared to sun-resistant individuals with non-brisk TILs. In contrast, both [r] and [R] variants were more prevalent among sun-resistant cases with brisk TILs observed in their lesions compared to sun-sensitive cases with brisk TILs.

Table 2. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between MC1R variants and prognostic histopathological tumor characteristics among first incident cases of invasive melanoma in the GEM Study, stratified by phenotype.

Phenotypically sun-sensitive** Phenotypically sun-resistant Phet
Tumor characteristic Consensus Only r 1 Any R 2 Only r 1 vs. consensus Any R 2 vs. consensus Consensus Only r 1 Any R 2 Only r 1 vs. consensus Any R 2 vs. consensus
n %* n %* n %* OR 3 95% CI OR 3 95% CI n %* n %* n %* OR 3 95% CI OR 3 95% CI
Breslow thickness (mm)
0.01–1.00 48 12 87 21 273 67 1.00 1.00 199 21 358 38 391 41 1.00 1.00 0.02
1.01–2.00 7 6 26 21 88 73 2.05 0.76–5.53 2.38 0.96–5.92 51 18 109 38 126 44 1.10 0.75–1.60 1.18 0.81–1.73
>2.00 12 11 37 35 57 54 1.61 0.74–3.50 0.73 0.35–1.52 35 20 61 36 75 44 0.97 0.97–1.54 1.13 0.72–1.78
p = 0.01 p = 0.92
Mitoses
Absent 36 12 59 20 199 68 1.00 1.00 133 20 251 38 277 42 1.00 1.00 0.03
Present 20 8 69 29 151 63 2.03 1.03–4.00 1.31 0.70–2.43 98 20 177 37 207 43 0.91 0.65–1.26 1.05 0.76–1.46
p = 0.16 p = 0.99
Ulceration
Absent 54 11 115 23 323 66 1.00 1.00 208 20 397 38 430 42 1.00 1.00 0.04
Present 2 5 13 32 26 63 3.17 0.67–15.03 1.89 0.42–8.51 23 23 29 28 50 49 0.60 0.33–1.08 0.98 0.57–1.67
p = 0.64 p = 0.41
Tumor infiltrating lymphocytes
Absent 13 11 35 30 75 65 1.00 1.00 44 18 85 35 113 47 1.00 1.00 0.01
Non-brisk 31 9 72 21 233 69 0.81 0.36–1.84 1.53 0.72–3.24 162 22 285 38 300 40 0.95 0.62–1.45 0.78 0.51–1.18
Brisk 12 15 21 26 47 59 0.63 0.23–1.74 0.77 0.30–1.97 22 15 55 38 66 46 1.34 0.71–2.53 1.27 0.69–2.34
p = 0.30 p = 0.43

* Row percentages are presented

** Based on phenotypic index greater than 2

Based on phenotypic index less than or equal to 2

Potential prognostic factor based on Thomas et al., J Clin Oncology, 2013. Vol. 33, Num. 33: 4252–59

1 r indicates carriage of V60L, V92M, I115T, R163Q, or rare nonsynonymous variants in the absence of a R variant.

2 R indicates carriage of D84E, R142H, R151C, R160W, D294H, nonsense or insertion/deletion variants.

3 ORs are adjusted for center, sex, age at melanoma diagnosis, and total body mole density

Discussion

The GEM Study provides well-annotated histopathological data for melanomas and complete sequencing of participant DNA at the MC1R locus, which allows for a comprehensive examination of the associations between variants and histopathological tumor characteristics. In this study we report no pronounced or statistically significant main effect associations of MC1R with AJCC accepted prognostic factors of Breslow thickness, presence of ulceration, or presence of mitoses overall. Similarly, we did not observe an association between variation in MC1R and TILs, which were shown to be an important independent prognostic feature of melanoma in GEM [9].

However, we did find a persistent positive association between carriage of more than one [R] variant and melanoma presentation on the arms after adjustment. After stratification by skin pigmentation phenotype, this observed association was limited to individuals with sun-resistant phenotypes. There are several previous reports of MC1R variation in association with anatomical site of melanoma, but they generally grouped sites together on the basis of sun-exposure before analyses and/or categorized MC1R variants differently, [2226] and are not directly comparable to this study. We did attempt to draw a comparison between our results and results from a case-control study of sporadic and familial melanoma in a Swedish population [25], which reported an increased association between carriage of ≥1 MC1R variant and melanoma presentation on the trunk (OR = 1.54; 95% CI: 1.01, 2.37). After recapitulating their coding for anatomic site, MC1R, and other covariates to the best of our ability, we were unable to replicate that finding (data not shown). Recently, Peña-Vilabelda et. al. reported results similar to our own with respect to high-risk MC1R variants in association with melanoma tumor site presentation (Arms: OR = 2.34; 95% CI: 0.98, 5.61) [27]. Interestingly, prior studies have noted more favorable prognoses among melanomas presenting on the extremities [28,29]. Future studies of variation in MC1R related to anatomical melanoma presentation are necessary to validate our findings.

We explored effect modification by phenotypic index only among the prognostic measures of Breslow thickness, ulceration, mitoses, and TILs to limit the potential for false discovery. We observed significant differences between phenotypically sun-resistant and sun-sensitive individuals with respect to all four prognostic tumor factors. Interestingly, sun-sensitive cases demonstrated stronger associations across Breslow thickness, mitoses and ulceration compared to those observed among sun-resistant individuals. These results are thought-provoking considering that it is among individuals with more sun-resistant phenotypes that MC1R has been associated with increased risk for melanoma [21,30]. However, we did note generally stronger associations between brisk TILs and MC1R among individuals with a sun-resistant phenotype compared to sun-sensitive cases. Although associations between MC1R variant carriage and all four prognostic variables were significantly different between phenotypic classifications, we were likely underpowered to detect associations within strata of phenotypic index despite the large sample size available in the GEM Study.

This investigation of tumor characteristics among 2,160 first incident cases of melanoma is the largest such study to examine associations with germline variation in MC1R. A strength of this study is the population-based nature of the parent GEM Study, from which a large number of incident cases were drawn from nine international ascertainment centers, improving generalizability of results to persons of European ancestry living in a variety of climates. Other advantages of this investigation were the centralized histopathological review conducted by expert pathologists and the ability to adjust for the potential impact of skin pigment and number of nevi. However, we do acknowledge the possibility that false positive findings may have arisen due to multiple hypothesis testing and the exploratory nature of associations examined between MC1R variation and tumor factors stratified by phenotypic index; thus, these findings should be validated in larger study populations before more meaningful interpretations can be made.

Acknowledgments

The study was conducted by the GEM Study Group: Coordinating Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA: Marianne Berwick (PI, currently at the University of New Mexico), Colin Begg (Co-PI), Irene Orlow (Co-Investigator), Klaus Busam (Dermatopathologist), Anne S. Reiner (biostatistician), Emily La Pilla (Laboratory Technician), Pampa Roy (Laboratory Technician). University of New Mexico, Albuquerque, NM (USA): Marianne Berwick (PI), Li Luo (biostatistician), Kirsten White (Laboratory Manager), Susan Paine (Data Manager). Study Centers: The University of Sydney and the Cancer Council New South Wales, Sydney (Australia): Bruce Armstrong (PI), Anne Kricker (Co-PI), Anne Cust (Co-investigator). Menzies Research Institute Tasmania, University of Tasmania, Hobart (Australia): Alison Venn (Current PI), Terence Dwyer (PI, currently at International Agency for Research on Cancer, Lyon, France), Paul Tucker (Dermatopathologist). British Columbia Cancer Research Centre, Vancouver, British Columbia (Canada): Richard Gallagher (PI), Donna Kan (Coordinator). Cancer Care Ontario, Toronto, Ontario (Canada): Loraine Marrett (PI), Elizabeth Theis (Co-Investigator), Lynn From (Dermatopathologist). Centro per la Prevenzione Oncologia Torino, Piemonte (Italy): Roberto Zanetti (PI), Stefano Rosso (Data Manager). University of California, Irvine (USA): Hoda Anton-Culver (PI), Argyrios Ziogas (Statistician). University of Michigan, Ann Arbor (USA): Stephen Gruber (PI, currently at University of Southern California, Los Angeles, CA), Timothy Johnson (Director of Melanoma Program), Shu-Chen Huang (Co-investigator, joint at USC-University of Michigan). New Jersey Department of Health and Senior Services, Trenton (USA): Judith Klotz (PI, currently retired), Homer Wilcox (Co-PI, currently retired). University of North Carolina, Chapel Hill, NC (USA): Nancy Thomas (PI), Robert Millikan (previous PI, deceased), David Ollila (Co-investigator), Kathleen Conway (Co-investigator), Pamela Groben (Dermatopathologist), Sharon Edmiston (Research Analyst), Honglin Hao (Laboratory Specialist), Eloise Parrish (Laboratory Specialist), Jill Frank (Research Assistant). University of Pennsylvania, Philadelphia, PA (USA): Timothy Rebbeck (PI), Peter Kanetsky (Co-investigator).

Data Availability

The authors confirm that, for approved reasons, some access restrictions apply to the data underlying the findings. Data will be made available upon request. This study involved human subjects and to protect the privacy of study participants, data requests will be reviewed by the Genes, Environment and Melanoma Study Steering Committee. Requests for data related to this PLOS publication should be directed to Dr. Marianne Berwick at mberwick@salud.unm.edu.

Funding Statement

Results presented in this report represent work from the Genes, Environment, and Melanoma (GEM) Study that was funded by the following grant awards: U01CA83180 (MB), R01CA112524 (MB), P30CA008748 (CBB), R01CA112243 (NET), R01CA112243S1 (NET), R01CA112524S2 (NET), and R01CA098438 (CBB) from the National Cancer Institute, US, the University of Sydney Medical Foundation Program, and by the Michael Smith Foundation for Health Research Infrastructure Award (RPG). NJT is supported by a training award R25CA147832 from the National Cancer Institute, US. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The authors confirm that, for approved reasons, some access restrictions apply to the data underlying the findings. Data will be made available upon request. This study involved human subjects and to protect the privacy of study participants, data requests will be reviewed by the Genes, Environment and Melanoma Study Steering Committee. Requests for data related to this PLOS publication should be directed to Dr. Marianne Berwick at mberwick@salud.unm.edu.


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