1.International Agency for Research on Cancer. IARC Monograph on the Evaluation of Carcinogenic Risks to Humans; Volume 55 Solar and Ultraviolet Radiation. IARC, Lyon. 1992.
2.Berwick M, Buller DB, Cust A, Gallagher R, Lee TK, Meyskens F, et al. Melanoma Epidemiology and Prevention. Cancer Treat Res. 2016;167:17–49.
3.Karagas MR, Weinstock MA, Nelson HH. Keratinocyte carcinomas (basal and squamous cell carcinomas of the skin). Cancer epidemiology and prevention: Oxford University Press; 2009.
4.El Ghissassi F, Baan R, Straif K, Grosse Y, Secretan B, Bouvard V, et al. A review of human carcinogens—part D: radiation. Lancet Oncol. 2009;10(8):751–2.
5.Fasanelli F, Baglietto L, Ponzi E, Guida F, Campanella G, Johansson M, et al. Hypomethylation of smoking-related genes is associated with future lung cancer in four prospective cohorts. Nat Commun. 2015;6:10192.
6.Ladd-Acosta C. Epigenetic Signatures as Biomarkers of Exposure. Curr Environ Health Rep. 2015;2(2):117–25.
7.Guida F, Sandanger TM, Castagne R, Campanella G, Polidoro S, Palli D, et al. Dynamics of smoking-induced genome-wide methylation changes with time since smoking cessation. Hum Mol Genet. 2015;24(8):2349–59.
8.Terry MB, Delgado-Cruzata L, Vin-Raviv N, Wu HC, Santella RM. DNA methylation in white blood cells: association with risk factors in epidemiologic studies. Epigenetics. 2011;6(7):828–37.
9.Vandiver AR, Irizarry RA, Hansen KD, Garza LA, Runarsson A, Li X, et al. Age and sun exposure-related widespread genomic blocks of hypomethylation in nonmalignant skin. Genome Biol. 2015;16:80.
10.Aslibekyan S, Dashti HS, Tanaka T, Sha J, Ferrucci L, Zhi D, et al. PRKCZ methylation is associated with sunlight exposure in a North American but not a Mediterranean population. Chronobiol Int. 2014;31(9):1034–40.
11.Nair-Shalliker V, Dhillon V, Clements M, Armstrong BK, Fenech M. The association between personal sun exposure, serum vitamin D and global methylation in human lymphocytes in a population of healthy adults in South Australia. Mutat Res. 2014;765:6–10.
12.Shen J, Song R, Wan J, Huff C, Fang S, Lee JE, et al. Global methylation of blood leukocyte DNA and risk of melanoma. Int J Cancer. 2017;140(7):1503–9.
13.Veierød MB, Adami HO, Lund E, Armstrong BK, Weiderpass E. Sun and solarium exposure and melanoma risk: effects of age, pigmentary characteristics, and nevi. Cancer Epidemiol Biomarkers Prev. 2010;19(1):111–20.
14.Veierød MB, Couto E, Lund E, Adami HO, Weiderpass E. Host characteristics, sun exposure, indoor tanning and risk of squamous cell carcinoma of the skin. Int J Cancer. 2014;135(2):413–22.
15.Veierød MB, Weiderpass E, Thörn M, Hansson J, Lund E, Armstrong B, et al. A prospective study of pigmentation, sun exposure, and risk of cutaneous malignant melanoma in women. J Natl Cancer Inst. 2003;95(20):1530–8.
16.Ghiasvand R, Rueegg CS, Weiderpass E, Green AC, Lund E, Veierød MB. Indoor Tanning and Melanoma Risk: Long-Term Evidence From a Prospective Population-Based Cohort Study. Am J Epidemiol. 2017;185(3):147–56.
17.Ghiasvand R, Robsahm TE, Green AC, Rueegg CS, Weiderpass E, Lund E, et al. Association of phenotypic characteristics and UV radiation exposure with risk of melanoma on different body sites. JAMA dermatology. 2019;155(1):39–49.
18.Lergenmuller S, Ghiasvand R, Robsahm TE, Green AC, Lund E, Rueegg CS, et al. Association of Lifetime Indoor Tanning and Subsequent Risk of Cutaneous Squamous Cell Carcinoma. JAMA Dermatol. 2019:1–9.
19.Levine ME, Lu AT, Quach A, Chen BH, Assimes TL, Bandinelli S, et al. An epigenetic biomarker of aging for lifespan and healthspan. Aging. 2018;10(4):573–91.
20.Lund E, Dumeaux V, Braaten T, Hjartaker A, Engeset D, Skeie G, et al. Cohort profile: The Norwegian Women and Cancer Study—NOWAC—Kvinner og kreft. Int J Epidemiol. 2008;37(1):36–41.
21.Dumeaux V, Borresen-Dale AL, Frantzen JO, Kumle M, Kristensen VN, Lund E. Gene expression analyses in breast cancer epidemiology: the Norwegian Women and Cancer postgenome cohort study. Breast Cancer Res. 2008;10(1):R13.
22.van Veldhoven K, Polidoro S, Baglietto L, Severi G, Sacerdote C, Panico S, et al. Epigenome-wide association study reveals decreased average methylation levels years before breast cancer diagnosis. Clin Epigenetics. 2015;7:67.
23.Sandanger TM, Nøst TH, Guida F, Rylander C, Campanella G, Muller DC, et al. DNA methylation and associated gene expression in blood prior to lung cancer diagnosis in the Norwegian Women and Cancer cohort. Sci Rep. 2018;8(1):16714.
24.Ghiasvand R, Lund E, Edvardsen K, Weiderpass E, Veierod MB. Prevalence and trends of sunscreen use and sunburn among Norwegian women. Br J Dermatol. 2015;172(2):475–83.
25.Veierod MB, Adami HO, Lund E, Armstrong BK, Weiderpass E. Sun and solarium exposure and melanoma risk: effects of age, pigmentary characteristics, and nevi. Cancer Epidemiol Biomarkers Prev. 2010;19(1):111–20.
26.Veierod MB, Weiderpass E, Thorn M, Hansson J, Lund E, Armstrong B, et al. A prospective study of pigmentation, sun exposure, and risk of cutaneous malignant melanoma in women. J Natl Cancer Inst. 2003;95(20):1530–8.
27.McCartney DL, Walker RM, Morris SW, McIntosh AM, Porteous DJ, Evans KL. Identification of polymorphic and off-target probe binding sites on the Illumina Infinium MethylationEPIC BeadChip. Genom Data. 2016;9:22–4.
28.Zheng Y, Joyce BT, Liu L, Zhang Z, Kibbe WA, Zhang W, et al. Prediction of genome-wide DNA methylation in repetitive elements. Nucleic Acids Res. 2017;45(15):8697–711.
29.Johnson WE, Li C, Rabinovic A. Adjusting batch effects in microarray expression data using empirical Bayes methods. Biostatistics. 2007;8(1):118–27.
30.Leek JT, Johnson WE, Parker HS, Jaffe AE, Storey JD. The sva package for removing batch effects and other unwanted variation in high-throughput experiments. Bioinformatics. 2012;28(6):882–3.
31.Aryee MJ, Jaffe AE, Corrada-Bravo H, Ladd-Acosta C, Feinberg AP, Hansen KD, et al. Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays. Bioinformatics. 2014;30(10):1363–9.
32.Teschendorff AE, Marabita F, Lechner M, Bartlett T, Tegner J, Gomez-Cabrero D, et al. A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data. Bioinformatics. 2013;29(2):189–96.
33.Pidsley R, Wong CCY, Volta M, Lunnon K, Mill J, Schalkwyk LC. A data-driven approach to preprocessing Illumina 450K methylation array data. BMC Genomics. 2013;14:293.
34.Houseman EA, Accomando WP, Koestler DC, Christensen BC, Marsit CJ, Nelson HH, et al. DNA methylation arrays as surrogate measures of cell mixture distribution. BMC Bioinformatics. 2012;13.
35.Reinius LE, Acevedo N, Joerink M, Pershagen G, Dahlen SE, Greco D, et al. Differential DNA methylation in purified human blood cells: implications for cell lineage and studies on disease susceptibility. PLoS One. 2012;7(7):e41361.
36.Horvath S. DNA methylation age of human tissues and cell types. Genome Biol. 2013;14(10):3156.
37.R Core Team. R: A Language and Environment for Statistical Computing. 3.3 ed. R Foundation for Statistical Computing2018.
38.Hong SH, Goh SH, Lee SJ, Hwang JA, Lee J, Choi IJ, et al. Upregulation of adenylate cyclase 3 (ADCY3) increases the tumorigenic potential of cells by activating the CREB pathway. Oncotarget. 2013;4(10):1791–803.
39.Zhao H, Li Y, Wang S, Yang Y, Wang J, Ruan X, et al. Whole transcriptome RNA-seq analysis: tumorigenesis and metastasis of melanoma. Gene. 2014;548(2):234–43.
40.Qin J, Chen X, Xie X, Tsai MJ, Tsai SY. COUP-TFII regulates tumor growth and metastasis by modulating tumor angiogenesis. Proc Natl Acad Sci. 2010;107(8):3687–92.
41.Rubio-Perez C, Tamborero D, Schroeder MP, Antolín AA, Deu-Pons J, Perez-Llamas C, et al. In silico prescription of anticancer drugs to cohorts of 28 tumor types reveals targeting opportunities. Cancer Cell. 2015;27(3):382–96.
42.Martínez MJ, Chico Y, Ochoa B. Insights into SND1 oncogene promoter regulation. Front Oncol. 2018;8:606.
43.Sigmundsdottir H, Pan J, Debes GF, Alt C, Habtezion A, Soler D, et al. DCs metabolize sunlight-induced vitamin D3 to ‘program’ T cell attraction to the epidermal chemokine CCL27. Nat Immunol. 2007;8(3):285–93.
44.Hyland PL, Burke LS, Pfeiffer RM, Mirabello L, Tucker MA, Goldstein AM, et al. LINE–1 methylation in peripheral blood and the risk of melanoma in melanoma-prone families with and without CDKN2A mutations. Melanoma Res. 2013;23(1):55–60.
45.Nilsen L, Hannevik M, Veierød M. Ultraviolet exposure from indoor tanning devices: a systematic review. Br J Dermatol. 2016;174(4):730–40.
46.Moore C, Cevikbas F, Pasolli HA, Chen Y, Kong W, Kempkes C, et al. UVB radiation generates sunburn pain and affects skin by activating epidermal TRPV4 ion channels and triggering endothelin–1 signaling. Proc Natl Acad Sci. 2013;110(34):E3225-E34.
47.Joehanes R, Just AC, Marioni RE, Pilling LC, Reynolds LM, Mandaviya PR, et al. Epigenetic Signatures of Cigarette Smoking. Circ Genom Precis Med. 2016;9(5):436–47.
48.Hart PH, Norval M. Ultraviolet radiation-induced immunosuppression and its relevance for skin carcinogenesis. Photochemical & Photobiological Sciences. 2018;17(12):1872–84.
49.Venturini M, Andreoli L, Arisi M, Rossi M, Franceschini F, Calzavara-Pinton P, et al. Ultraviolet Radiation: Both Friend and Foe in Systemic Autoimmune Diseases? Mosaic of Autoimmunity: Elsevier; 2019. p. 235–45.
50.Bulla A, De Witt B, Ammerlaan W, Betsou F, Lescuyer P. Blood DNA Yield but Not Integrity or Methylation Is Impacted After Long-Term Storage. Biopreserv Biobank. 2016;14(1):29–38.