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    Association between phenotypic characteristics and melanoma in a large prospective cohort study

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    Authors
    Olsen, CM
    Pandeya, N
    Thompson, BS
    Dusingize, JC
    Green, Adèle C
    Neale, RE
    Whiteman, DC
    Affiliation
    Department of Population Health, QIMR Berghofer Medical Research Institute, Queensland, Australia
    Issue Date
    2018
    
    Metadata
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    Abstract
    To delineate causal pathways for melanoma, it is essential to derive unbiased estimates of risk. Extant knowledge derives largely from case-control studies with potential for bias. In a population-based prospective study (QSkin, n=38,854), we assessed melanoma risks associated with pigmentation characteristics and other phenotypes, and explored additive interactions. We fitted Cox proportional hazards models adjusting for other factors to estimate independent effects of each characteristic on melanoma risk. During a mean follow-up of 3.5 years, 642 (1.5%) participants developed melanoma (253 invasive, 389 in situ). The characteristics most strongly associated with invasive melanoma were self-reported nevus density at age 21 ('many' vs. no moles HR 4.91 [2.81-8.55]), inability to tan ('no tan' vs. 'deep tan' HR 3.39 [1.85-6.20]) and red hair color (vs. black HR 3.11 [1.50-6.43]). Notably, propensity to sunburn was not associated with melanoma after adjusting for tanning inability. People with both high nevus density and a history of multiple keratinocyte cancers had significantly higher melanoma risks than those having only one of those traits. We infer that melanoma risk is more strongly related to nevus density and inability to tan than susceptibility to sunburn.
    Citation
    Olsen CM, Pandeya N, Thompson BS, Dusingize JC, Green AC, Neale RE, et al. Association between phenotypic characteristics and melanoma in a large prospective cohort study. Journal of Investigative Dermatology. 2018 Oct.
    Journal
    J Invest Dermatol
    URI
    http://hdl.handle.net/10541/621363
    DOI
    10.1016/j.jid.2018.09.022
    PubMed ID
    30367874
    Additional Links
    https://dx.doi.org/10.1016/j.jid.2018.09.022
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.jid.2018.09.022
    Scopus Count
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    All Paterson Institute for Cancer Research

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