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Participants in the UK Biobank (UKB) were recruited between 2006 and 2010, with complete follow\u2010up data updated until February 2020 for Scotland and January 2021 for England and Wales. Using UKB data (\n                    <jats:italic>N<\/jats:italic>\n                    \u2009=\u2009442,399), we constructed PRS and incidence\u2010weighted overall cancer PRS (CPRS). FH was assessed through self\u2010reported standardized questions. Among 202,801 men (34.6% with FH) and 239,598 women (42.0% with FH), Cox regression was used to examine the associations between FH, PRS, and cancer risk. We found a significant dose\u2013response relationship between FH of cancer and corresponding cancer risk (\n                    <jats:italic>P<\/jats:italic>\n                    <jats:sub>trend<\/jats:sub>\n                    \u2009&lt;\u2009.05), with over 10 significant pairs of cross\u2010cancer effects of FH. FH and PRS are positively correlated and independent. Joint effects of FH of cancer (multiple cancers) and PRS (CPRS) on corresponding cancer risk were observed: for instance, compared with participants with no FH of cancer and low PRS, men with FH of cancer and high PRS had the highest risk of colorectal cancer (hazard ratio [HR]: 3.69, 95% confidence interval [CI]: 3.01\u20134.52). Additive interactions were observed in prostate and overall cancer risk for men and breast cancer for women, with the most significant result being a relative excess risk of interaction (RERI) of 2.98, accounting for ~34% of the prostate cancer risk. In conclusion, FH and PRS collectively contribute to cancer risk, supporting their combined application in personalized risk assessment and early intervention strategies.\n                  <\/jats:p>","DOI":"10.1002\/ijc.35187","type":"journal-article","created":{"date-parts":[[2024,9,18]],"date-time":"2024-09-18T06:21:43Z","timestamp":1726640503000},"page":"505-517","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Family history and genetic risk score combined to guide cancer risk stratification: A prospective cohort study"],"prefix":"10.1002","volume":"156","author":[{"given":"Chen","family":"Ji","sequence":"first","affiliation":[{"name":"Department of Epidemiology, Center for Global Health, School of Public Health Nanjing Medical University  Nanjing China"},{"name":"Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China 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