BACKGROUND: Studies have found that reproductive factors might have a variable effect on the occurrence of breast cancer (BC) according to the existence or not of a family history of BC. The effect of a family history of BC on the risk of BC may also vary according to the age at diagnosis and the degree of kinship. This may confound the relation between familial risk and reproductive factors. A combined analysis was performed to study the interaction between familial risk and reproductive factors according to degree of familiality, age at interview and menopausal status. METHODS: The present analysis included 2948 cases and 4170 controls in seven case-control studies from four countries. The combined relative risks were estimated using a Bayesian random-effects logistic regression model. RESULTS: The main effects of reproductive life factors on the risk of BC are in agreement with previous studies. Two-way interactions between subject's age or menopausal status and a family history of BC were not significant. Although the three-way interaction between age, familial risk and parity was not significant, familial risk seemed to be increased slightly for women with high parity compared with women with low parity in the older age group, and seemed to be slightly decreased for women with high parity compared with women with low parity in younger women. The subject's age also appeared to have an effect on the interaction between familial risk and the age at first childbirth (P = 0.1). CONCLUSIONS: A possible influence of reproductive and menstrual factors on familial risk of BC has been suggested previously and was also evident in the present study. Three-way interactions between age, family history and parity or age at first childbirth might exist and they merit further investigation.
BACKGROUND: Studies have found that reproductive factors might have a variable effect on the occurrence of breast cancer (BC) according to the existence or not of a family history of BC. The effect of a family history of BC on the risk of BC may also vary according to the age at diagnosis and the degree of kinship. This may confound the relation between familial risk and reproductive factors. A combined analysis was performed to study the interaction between familial risk and reproductive factors according to degree of familiality, age at interview and menopausal status. METHODS: The present analysis included 2948 cases and 4170 controls in seven case-control studies from four countries. The combined relative risks were estimated using a Bayesian random-effects logistic regression model. RESULTS: The main effects of reproductive life factors on the risk of BC are in agreement with previous studies. Two-way interactions between subject's age or menopausal status and a family history of BC were not significant. Although the three-way interaction between age, familial risk and parity was not significant, familial risk seemed to be increased slightly for women with high parity compared with women with low parity in the older age group, and seemed to be slightly decreased for women with high parity compared with women with low parity in younger women. The subject's age also appeared to have an effect on the interaction between familial risk and the age at first childbirth (P = 0.1). CONCLUSIONS: A possible influence of reproductive and menstrual factors on familial risk of BC has been suggested previously and was also evident in the present study. Three-way interactions between age, family history and parity or age at first childbirth might exist and they merit further investigation.
Authors: Christopher I Li; Kathleen E Malone; Janet R Daling; John D Potter; Leslie Bernstein; Polly A Marchbanks; Brian L Strom; Michael S Simon; Michael F Press; Giske Ursin; Ronald T Burkman; Suzanne G Folger; Sandra Norman; Jill A McDonald; Robert Spirtas Journal: Am J Epidemiol Date: 2007-10-26 Impact factor: 4.897
Authors: Christopher I Li; Elisabeth F Beaber; Mei-Tzu Chen Tang; Peggy L Porter; Janet R Daling; Kathleen E Malone Journal: Breast Cancer Res Treat Date: 2012-12-09 Impact factor: 4.872
Authors: Amy Trentham-Dietz; Brian L Sprague; John M Hampton; Diana L Miglioretti; Heidi D Nelson; Linda J Titus; Kathleen M Egan; Patrick L Remington; Polly A Newcomb Journal: Breast Cancer Res Treat Date: 2014-03-20 Impact factor: 4.872
Authors: Gil Dubernard; Sélim Aractingi; Michel Oster; Roman Rouzier; Marie-Christine Mathieu; Serge Uzan; Kiarash Khosrotehrani Journal: Breast Cancer Res Date: 2008-02-13 Impact factor: 6.466