Does genetic risk modify the effect of skin screening on melanoma detection rates?

Author:

Pandeya Nirmala12ORCID,Dusingize Jean Claude1ORCID,Olsen Catherine M12ORCID,MacGregor Stuart1ORCID,Neale Rachel E12ORCID,Law Matthew H134ORCID,Whiteman David C12ORCID

Affiliation:

1. Departments of Population Health and Computational Biology, QIMR Berghofer Medical Research Institute , QLD , Australia

2. Faculty of Medicine

3. Faculty of Health, Queensland University of Technology , QLD , Australia

4. School of Biomedical Sciences, The University of Queensland , QLD , Australia

Abstract

Abstract Background Skin screening is associated with higher melanoma detection rates, a potential indicator of overdiagnosis, but it remains possible that this effect is due to confounding by genetic risk. Objectives To compare melanoma incidence among screened vs. unscreened participants within tertiles of genetic risk. Methods We investigated melanoma incidence in the QSkin study, a prospective cohort study which for this analysis comprised 15 283 participants aged 40–69 years with genotype data and no prior history of melanoma. We calculated a polygenic score (PGS) for melanoma. We first calculated the age-standardized rate (ASR) of melanoma within PGS tertiles, and then measured the association between skin examination and melanoma detection by calculating the hazard ratio (HR) and 95% confidence interval (95% CI), overall and within PGS tertiles. Results Melanoma incidence increased with PGS (ASR per 100 000 per year): tertile 1 = 442; tertile 2 = 519; tertile 3 = 871. We found that the HRs for all melanomas (i.e. in situ and invasive) associated with skin examination differed slightly across PGS tertiles [age- and sex-adjusted tertile 1 HR 1.88 (95% CI 1.26–2.81); tertile 2 HR 1.70 (95% CI 1.20–2.41); tertile 3 HR 1.96 (95% CI 1.43–2.70); fully adjusted tertile 1 HR 1.14 (95% CI 0.74–1.75); tertile 2 HR 1.21 (95% CI 0.82–1.78); tertile 3 HR 1.41 (95% CI 1.00–1.98)], but these differences were not statistically significant. HRs for in situ melanoma associated with skin examination were similar across PGS tertiles. For invasive melanomas, the point estimates appeared to be highest in PGS tertile 3 in both the minimally adjusted (age, sex) and fully adjusted models; however, these apparent differences were also not statistically significant. Conclusions Genetic risk predicts subsequent melanoma incidence, and is weakly associated with screening behaviour, but it does not explain the higher rate of melanoma detection between screened and unscreened people.

Funder

National Health and Medical Research Council

NHMRC Research Fellowship

Publisher

Oxford University Press (OUP)

Subject

Dermatology

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