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To aid early detection, we developed a risk prediction model based on demographic and lifestyle risk factors, human papillomavirus (HPV) serological markers and genetic markers. A total of 10\u2009126 head and neck cancer cases and 5254 controls from five North American and European studies were included. HPV serostatus was determined by antibodies for HPV16 early oncoproteins (E6, E7) and regulatory early proteins (E1, E2, E4). The data were split into a training set (70%) for model development and a hold\u2010out testing set (30%) for model performance evaluation, including discriminative ability and calibration. The risk models including demographic, lifestyle risk factors and polygenic risk score showed a reasonable predictive accuracy for head and neck cancer overall. 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These risk models may be helpful for identifying people at high risk of developing head and neck cancer.<\/jats:p>","DOI":"10.1002\/ijc.34444","type":"journal-article","created":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T05:53:34Z","timestamp":1674626014000},"page":"2069-2080","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["A risk prediction model for head and neck cancers incorporating lifestyle factors, <scp>HPV<\/scp> serology and genetic markers"],"prefix":"10.1002","volume":"152","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1662-3109","authenticated-orcid":false,"given":"Sanjeev","family":"Budhathoki","sequence":"first","affiliation":[{"name":"Prosserman Centre for Population Health Research Lunenfeld\u2010Tanenbaum Research Institute, Sinai Health  Toronto Ontario 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