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- Antoniou, A. C., et al.
(författare)
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The BOADICEA model of genetic susceptibility to breast and ovarian cancers: updates and extensions
- 2008
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Ingår i: British Journal of Cancer. - : Springer Science and Business Media LLC. - 1532-1827 .- 0007-0920. ; 98:8, s. 1457-1466
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Tidskriftsartikel (refereegranskat)abstract
- Multiple genetic loci confer susceptibility to breast and ovarian cancers. We have previously developed a model (BOADICEA) under which susceptibility to breast cancer is explained by mutations in BRCA1 and BRCA2, as well as by the joint multiplicative effects of many genes ( polygenic component). We have now updated BOADICEA using additional family data from two UK population-based studies of breast cancer and family data from BRCA1 and BRCA2 carriers identified by 22 population-based studies of breast or ovarian cancer. The combined data set includes 2785 families ( 301 BRCA1 positive and 236 BRCA2 positive). Incidences were smoothed using locally weighted regression techniques to avoid large variations between adjacent intervals. A birth cohort effect on the cancer risks was implemented, whereby each individual was assumed to develop cancer according to calendar period-specific incidences. The fitted model predicts that the average breast cancer risks in carriers increase in more recent birth cohorts. For example, the average cumulative breast cancer risk to age 70 years among BRCA1 carriers is 50% for women born in 1920 - 1929 and 58% among women born after 1950. The model was further extended to take into account the risks of male breast, prostate and pancreatic cancer, and to allow for the risk of multiple cancers. BOADICEA can be used to predict carrier probabilities and cancer risks to individuals with any family history, and has been implemented in userfriendly Web-based program(http://www.srl.cam.ac.uk/genepi/boadicea/boadicea_home. html).
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| 2. |
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| 3. |
- Jernström, Helena, et al.
(författare)
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Coffee intake and CYP1A2*1F genotype predict breast volume in young women: implications for breast cancer.
- 2008
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Ingår i: British Journal of Cancer. - : Springer Science and Business Media LLC. - 1532-1827 .- 0007-0920. ; 99, s. 1534-1538
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Tidskriftsartikel (refereegranskat)abstract
- As breast volume may be associated with heart cancer risk, we studied the relationship between breast volume, CYP1A2*1F and coffee intake. Among healthy premenopausal non-hormone users, 3+ cups per day was associated with lower volume only in C-allele carriers (P(interaction)=0.02), which is consistent with reports that coffee protects only C-allele carriers against breast cancer.British Journal of Cancer advance online publication, 23 September 2008; doi:10.1038/sj.bjc.6604687 www.bjcancer.com.
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| 4. |
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| 5. |
- Olsson, Håkan, et al.
(författare)
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Lower breast cancer survival in mothers of children with a malignancy: a national study.
- 2008
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Ingår i: British Journal of Cancer. - : Springer Science and Business Media LLC. - 1532-1827 .- 0007-0920. ; 98:11, s. 1876-1878
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Tidskriftsartikel (refereegranskat)abstract
- As it is unclear if hereditary factors affect breast cancer survival, this was compared using fertility and cancer registry data, among all women so diagnosed during 1961-1999 in Sweden, having a child with childhood cancer (
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| 6. |
- Wallström, Peter, et al.
(författare)
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A prospective Swedish study on body size, body composition, diabetes, and prostate cancer risk.
- 2009
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Ingår i: British Journal of Cancer. - : Springer Science and Business Media LLC. - 1532-1827 .- 0007-0920. ; 100:11, s. 1799-1805
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Tidskriftsartikel (refereegranskat)abstract
- Obesity may be associated with increased risk of prostate cancer (PCa). According to one hypothesis, obesity could lower the risk of non-aggressive tumours, while simultaneously increasing the risk of aggressive cancer. Furthermore, central adiposity may be independently associated with PCa risk; it is also associated with diabetes, which itself may influence risk of PCa. We studied the associations between height, body composition, and fat distribution, diabetes prevalence and risk of total, aggressive, and non-aggressive PCa in 10 564 initially cancer-free men (aged 45-73 years) of the population-based Malmö Diet and Cancer cohort. Anthropometric and body composition measurements, including bioelectrical impedance for estimation of fat mass, were performed by study nurses. Diabetes prevalence was self-reported. Cancer cases and clinical characteristics were ascertained through national and regional registry data. Dietary and other background data were obtained through a modified diet history method and an extensive questionnaire. During a mean follow-up of 11.0 years, 817 incidental PCa cases were diagnosed. Of these, 281 were classified as aggressive. There were 202 cases occurring before 65 years of age. Height was positively associated with total and non-aggressive PCa risk. Waist-hip ratio (WHR), a measure of central adiposity, was positively associated with PCa before age 65, and less strongly, with total PCa. This association was independent of body mass index (BMI) and other potential confounders. General adiposity, expressed as BMI or body fat percentage, and prevalent diabetes were not associated with PCa risk. In this study, WHR and body height were stronger PCa predictors than general adiposity.British Journal of Cancer advance online publication, 12 May 2009; doi:10.1038/sj.bjc.6605077 www.bjcancer.com.
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