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000277473 1001_ $$aPhung, Minh Tung$$b0
000277473 245__ $$aA framework for assessing interactions for risk stratification models: the example of ovarian cancer.
000277473 260__ $$aOxford$$bOxford Univ. Press$$c2023
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000277473 500__ $$a2023 Nov 8;115(11):1420-1426
000277473 520__ $$aGenerally, risk stratification models for cancer use effect estimates from risk/protective factor analyses that have not assessed potential interactions between these exposures. We have developed a four-criterion framework for assessing interactions which includes statistical, qualitative, biological, and practical approaches. Using ovarian cancer, we present the application of the framework as this is an important step in developing more accurate risk stratification models. Using data from nine case-control studies in the Ovarian Cancer Association Consortium, we conducted a comprehensive analysis of interactions between 15 unequivocal risk/protective factors for ovarian cancer (including 14 non-genetic factors and a 36-variant polygenic score) with age and menopausal status. Pairwise interactions between the risk/protective factors were also assessed. We found that menopausal status modifies the association between endometriosis, first degree family history of ovarian cancer, breastfeeding, and depot-medroxyprogesterone acetate use and disease risk, highlighting the importance of understanding multiplicative interactions when developing risk prediction models.
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000277473 7001_ $$aLee, Alice W$$b1
000277473 7001_ $$aMcLean, Karen$$b2
000277473 7001_ $$aAnton-Culver, Hoda$$b3
000277473 7001_ $$aBandera, Elisa V$$b4
000277473 7001_ $$aCarney, Michael E$$b5
000277473 7001_ $$0P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253$$aChang-Claude, Jenny$$b6$$udkfz
000277473 7001_ $$aCramer, Daniel W$$b7
000277473 7001_ $$aDoherty, Jennifer Anne$$b8
000277473 7001_ $$0P:(DE-He78)74a6af8347ec5cbd4b77e562e10ca1f2$$aTurzanski-Fortner, Renée$$b9$$udkfz
000277473 7001_ $$aGoodman, Marc T$$b10
000277473 7001_ $$aHarris, Holly R$$b11
000277473 7001_ $$aJensen, Allan$$b12
000277473 7001_ $$aModugno, Francesmary$$b13
000277473 7001_ $$aMoysich, Kirsten B$$b14
000277473 7001_ $$aPharoah, Paul D P$$b15
000277473 7001_ $$aQin, Bo$$b16
000277473 7001_ $$aTerry, Kathryn L$$b17
000277473 7001_ $$aTitus, Linda J$$b18
000277473 7001_ $$aWebb, Penelope M$$b19
000277473 7001_ $$aGroup, Australian Ovarian Cancer Study$$b20$$eCollaboration Author
000277473 7001_ $$aWu, Anna H$$b21
000277473 7001_ $$aZeinomar, Nur$$b22
000277473 7001_ $$aZiogas, Argyrios$$b23
000277473 7001_ $$aBerchuck, Andrew$$b24
000277473 7001_ $$aCho, Kathleen R$$b25
000277473 7001_ $$aHanley, Gillian E$$b26
000277473 7001_ $$aMeza, Rafael$$b27
000277473 7001_ $$aMukherjee, Bhramar$$b28
000277473 7001_ $$aPike, Malcolm C$$b29
000277473 7001_ $$aPearce, Celeste Leigh$$b30
000277473 7001_ $$aTrabert, Britton$$b31
000277473 7001_ $$aConsortium, Ovarian Cancer Association$$b32$$eCollaboration Author
000277473 773__ $$0PERI:(DE-600)1465951-7$$a10.1093/jnci/djad137$$gp. djad137$$n11$$p1420-1426$$tJournal of the National Cancer Institute$$v115$$x0027-8874$$y2023
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