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We assessed the performance of an updated polygenic risk score (PRS) in a population of older individuals, where melanoma incidence and cumulative ultraviolet radiation exposure is greatest.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>We assessed a PRS for cutaneous melanoma comprising 55 variants in a prospective study of 12\u00a0712 individuals in the ASPirin in Reducing Events in the Elderly Trial. We evaluated incident melanomas diagnosed during the trial and prevalent melanomas diagnosed preenrolment (self-reported). Multivariable models examined associations between PRS as a continuous variable (per SD) and categorical (low-risk [0%-20%], medium-risk [21%-80%], high-risk [81%-100%] groups) with incident melanoma. Logistic regression examined the association between PRS and prevalent melanoma.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>At baseline, mean participant age was 75\u2009years; 55.0% were female, and 528 (4.2%) had prevalent melanomas. During follow-up (median = 4.7\u2009years), 120 (1.0%) incident cutaneous melanomas occurred, 98 of which were in participants with no history. PRS was associated with incident melanoma (hazard ratio = 1.46 per SD, 95% confidence interval [CI] = 1.20 to 1.77) and prevalent melanoma (odds ratio [OR] = 1.55 per SD, 95% CI = 1.42 to 1.69). Participants in the highest-risk PRS group had increased risk compared with the low-risk group for incident melanoma (OR\u2009=\u20092.51, 95% CI = 1.28 to 4.92) and prevalent melanoma (OR\u2009=\u20093.66, 95% CI = 2.69 to 5.05). When stratifying by sex, only males had an association between the PRS and incident melanoma, whereas both sexes had an association between the PRS and prevalent melanoma.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>A genomic risk score is associated with melanoma risk in older individuals and may contribute to targeted surveillance.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jnci\/djab076","type":"journal-article","created":{"date-parts":[[2021,4,9]],"date-time":"2021-04-09T11:40:43Z","timestamp":1617968443000},"page":"1379-1385","source":"Crossref","is-referenced-by-count":15,"title":["Genomic Risk Score for Melanoma in a Prospective Study of Older Individuals"],"prefix":"10.1093","volume":"113","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5650-7036","authenticated-orcid":false,"given":"Andrew","family":"Bakshi","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mabel","family":"Yan","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Moeen","family":"Riaz","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9535-9291","authenticated-orcid":false,"given":"Galina","family":"Polekhina","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0211-3183","authenticated-orcid":false,"given":"Suzanne G","family":"Orchard","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3906-6632","authenticated-orcid":false,"given":"Jane","family":"Tiller","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rory","family":"Wolfe","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amit","family":"Joshi","sequence":"additional","affiliation":[{"name":"Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; MGH Cancer Center, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9835-7662","authenticated-orcid":false,"given":"Yin","family":"Cao","sequence":"additional","affiliation":[{"name":"Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, MO, USA; Alvin J. 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