000144753 001__ 144753
000144753 005__ 20240229123020.0
000144753 0247_ $$2doi$$a10.1002/ijc.32664
000144753 0247_ $$2pmid$$apmid:31483856
000144753 0247_ $$2ISSN$$a0020-7136
000144753 0247_ $$2ISSN$$a1097-0215
000144753 0247_ $$2altmetric$$aaltmetric:65993826
000144753 037__ $$aDKFZ-2019-02185
000144753 041__ $$aeng
000144753 082__ $$a610
000144753 1001_ $$0P:(DE-He78)f4e98340e600f7411886c21c7b778d36$$aWeigl, Korbinian$$b0$$eFirst author$$udkfz
000144753 245__ $$aEstablishing a valid approach for estimating familial risk of cancer explained by common genetic variants.
000144753 260__ $$aBognor Regis$$bWiley-Liss$$c2020
000144753 3367_ $$2DRIVER$$aarticle
000144753 3367_ $$2DataCite$$aOutput Types/Journal article
000144753 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1603108049_20926
000144753 3367_ $$2BibTeX$$aARTICLE
000144753 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000144753 3367_ $$00$$2EndNote$$aJournal Article
000144753 500__ $$a146(1):68-75#EA:C070#LA:C070#
000144753 520__ $$aWe critically examined existing approaches for the estimation of the excess familial risk of cancer which can be attributed to identified common genetic risk variants and propose an alternative, more straightforward approach for calculating this proportion using well-established epidemiological methodology. We applied the underlying equations of the traditional approaches and the new epidemiological approach for colorectal cancer (CRC) in a large population-based case-control study in Germany with 4,447 cases and 3,480 controls, who were recruited from 2003 to 2016 and for whom interview, medical and genomic data were available. Having a family history of CRC (FH) was associated with a 1.77-fold risk increase in our study population (95% CI 1.52-2.07). Traditional approaches yielded estimates of the FH-associated risk explained by 97 common genetics variants from 9.6% to 23.1%, depending on various assumptions. Our alternative approach resulted in smaller and more consistent estimates of this proportion, ranging from 5.4% to 14.3%. Commonly employed methods may lead to strongly divergent and possibly exaggerated estimates of excess familial risk of cancer explained by associated known common genetic variants. Our results suggest that familial risk and risk associated with known common genetic variants might reflect two complementary major sources of risk. This article is protected by copyright. All rights reserved.
000144753 536__ $$0G:(DE-HGF)POF3-313$$a313 - Cancer risk factors and prevention (POF3-313)$$cPOF3-313$$fPOF III$$x0
000144753 588__ $$aDataset connected to CrossRef, PubMed,
000144753 7001_ $$0P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253$$aChang-Claude, Jenny$$b1$$udkfz
000144753 7001_ $$aHsu, Li$$b2
000144753 7001_ $$0P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f$$aHoffmeister, Michael$$b3$$udkfz
000144753 7001_ $$0P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aBrenner, Hermann$$b4$$eLast author$$udkfz
000144753 773__ $$0PERI:(DE-600)1474822-8$$a10.1002/ijc.32664$$gp. ijc.32664$$n1$$p68-75$$tInternational journal of cancer$$v146$$x1097-0215$$y2020
000144753 909CO $$ooai:inrepo02.dkfz.de:144753$$pVDB
000144753 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)f4e98340e600f7411886c21c7b778d36$$aDeutsches Krebsforschungszentrum$$b0$$kDKFZ
000144753 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253$$aDeutsches Krebsforschungszentrum$$b1$$kDKFZ
000144753 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f$$aDeutsches Krebsforschungszentrum$$b3$$kDKFZ
000144753 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aDeutsches Krebsforschungszentrum$$b4$$kDKFZ
000144753 9131_ $$0G:(DE-HGF)POF3-313$$1G:(DE-HGF)POF3-310$$2G:(DE-HGF)POF3-300$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vCancer risk factors and prevention$$x0
000144753 9141_ $$y2020
000144753 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz
000144753 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000144753 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000144753 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000144753 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bINT J CANCER : 2017
000144753 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List
000144753 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index
000144753 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000144753 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000144753 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences
000144753 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews
000144753 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bINT J CANCER : 2017
000144753 9202_ $$0I:(DE-He78)C070-20160331$$kC070$$lC070 Klinische Epidemiologie und Alternf.$$x0
000144753 9200_ $$0I:(DE-He78)C070-20160331$$kC070$$lC070 Klinische Epidemiologie und Alternf.$$x0
000144753 9201_ $$0I:(DE-He78)C070-20160331$$kC070$$lC070 Klinische Epidemiologie und Alternf.$$x0
000144753 9201_ $$0I:(DE-He78)HD01-20160331$$kHD01$$lDKTK HD zentral$$x1
000144753 9201_ $$0I:(DE-He78)C020-20160331$$kC020$$lC020 Epidemiologie von Krebs$$x2
000144753 9201_ $$0I:(DE-He78)C120-20160331$$kC120$$lPräventive Onkologie$$x3
000144753 980__ $$ajournal
000144753 980__ $$aVDB
000144753 980__ $$aI:(DE-He78)C070-20160331
000144753 980__ $$aI:(DE-He78)HD01-20160331
000144753 980__ $$aI:(DE-He78)C020-20160331
000144753 980__ $$aI:(DE-He78)C120-20160331
000144753 980__ $$aUNRESTRICTED