A framework for assessing interactions for risk stratification models: The example of ovarian cancer Journal Article
| Authors: | Phung, M. T.; Lee, A. W.; McLean, K.; Anton-Culver, H.; Bandera, E. V.; Carney, M. E.; Chang-Claude, J.; Cramer, D. W.; Doherty, J. A.; Fortner, R. T.; Goodman, M. T.; Harris, H. R.; Jensen, A.; Modugno, F.; Moysich, K. B.; Pharoah, P. D. P.; Qin, B.; Terry, K. L.; Titus, L. J.; Webb, P. M.; on behalf of the Australian Ovarian Cancer Study Group; Wu, A. H.; Zeinomar, N.; Ziogas, A.; Berchuck, A.; Cho, K. R.; Hanley, G. E.; Meza, R.; Mukherjee, B.; Pike, M. C.; Pearce, C. L.; Trabert, B.; on behalf of the Ovarian Cancer Association Consortium |
| Article Title: | A framework for assessing interactions for risk stratification models: The example of ovarian cancer |
| Abstract: | Generally, 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 4-criterion framework for assessing interactions that includes statistical, qualitative, biological, and practical approaches. We present the application of this framework in an ovarian cancer setting because this is an important step in developing more accurate risk stratification models. Using data from 9 case-control studies in the Ovarian Cancer Association Consortium, we conducted a comprehensive analysis of interactions among 15 unequivocal risk and 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 among 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. © The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com. |
| Keywords: | case control study; genetics; case-control studies; ovarian neoplasms; risk factors; risk factor; risk assessment; ovary tumor; humans; human; female |
| Journal Title: | JNCI: Journal of the National Cancer Institute |
| Volume: | 115 |
| Issue: | 11 |
| ISSN: | 0027-8874 |
| Publisher: | Oxford University Press |
| Date Published: | 2023-11-01 |
| Start Page: | 1420 |
| End Page: | 1426 |
| Language: | English |
| DOI: | 10.1093/jnci/djad137 |
| PUBMED: | 37436712 |
| PROVIDER: | scopus |
| PMCID: | PMC10637032 |
| DOI/URL: | |
| Notes: | Article -- MSK Cancer Center Support Grant (P30 CA008748) acknowledged in PDF -- Source: Scopus |
