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Establishing a valid approach for estimating familial risk of cancer explained by common genetic variants
Authors:Korbinian Weigl  Jenny Chang-Claude  Li Hsu  Michael Hoffmeister  Hermann Brenner
Affiliation:1. Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany;2. Unit of Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany

University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany;3. Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA;4. Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany

German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany

Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center of Tumor Diseases (NCT), Heidelberg, Germany

Abstract:We critically examined existing approaches for the estimation of the excess familial risk of cancer that can be attributed to identified common genetic risk variants and propose an alternative, more straightforward approach for calculating this proportion using well-established epidemiological methodology. We applied the underlying equations of the traditional approaches and the new epidemiological approach for colorectal cancer (CRC) in a large population-based case–control study in Germany with 4,447 cases and 3,480 controls, who were recruited from 2003 to 2016 and for whom interview, medical and genomic data were available. Having a family history of CRC (FH) was associated with a 1.77-fold risk increase in our study population (95% CI 1.52–2.07). Traditional approaches yielded estimates of the FH-associated risk explained by 97 common genetics variants from 9.6% to 23.1%, depending on various assumptions. Our alternative approach resulted in smaller and more consistent estimates of this proportion, ranging from 5.4% to 14.3%. Commonly employed methods may lead to strongly divergent and possibly exaggerated estimates of excess familial risk of cancer explained by associated known common genetic variants. Our results suggest that familial risk and risk associated with known common genetic variants might reflect two complementary major sources of risk.
Keywords:genetic epidemiology  familial risk  common genetic variants  risk proportion  excess risk
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