Literature DB >> 11130621

Familial breast and ovarian cancer: a Swedish population-based register study.

H Anderson1, A Bladström, H Olsson, T R Möller.   

Abstract

A cohort of offspring of mothers with breast or ovarian cancer diagnosed in 1958-1993 was established using Swedish population-based registers. The children (n = 158,041) were born between 1941 and 1993, and their cancer incidence was followed between 1961 and 1993. A total of 3,257 tumors in 3,102 children were found. Observed numbers of cases were compared with expected numbers based on national calendar year-, age-, and sex-specific incidences. For daughters of women with breast cancer, the standardized morbidity ratios for being diagnosed with breast cancer and ovarian cancer before age 50 years were 1.99 (95% confidence interval (CI): 1.86, 2.14) and 1.28 (95% CI: 1.05, 1.54), respectively. The corresponding figures for daughters of women with ovarian cancer were 1.79 (95% CI: 1.55, 2.07) and 2.38 (95% CI: 1.77, 3.12). The risks were raised if the mother's cancer was diagnosed at a young age, the mother had multiple breast/ovarian diagnoses, or there was a sister with breast/ovarian cancer. Among all offspring, increased risks were found for thyroid cancer, testicular cancer, and malignant melanoma, while lung cancer risk was decreased if the mother had had breast cancer. The authors developed a variance estimator for the standardized morbidity ratio to cope with overdispersion due to dependency within families.

Entities:  

Mesh:

Year:  2000        PMID: 11130621     DOI: 10.1093/aje/152.12.1154

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  15 in total

1.  The Tyrer-Cuzick Model Inaccurately Predicts Invasive Breast Cancer Risk in Women With LCIS.

Authors:  Monica G Valero; Emily C Zabor; Anna Park; Elizabeth Gilbert; Ashely Newman; Tari A King; Melissa L Pilewskie
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Review 2.  The contribution of breast cancer pathology to statistical models to predict mutation risk in BRCA carriers.

Authors:  Ana Cristina Vargas; Leonard Da Silva; Sunil R Lakhani
Journal:  Fam Cancer       Date:  2010-12       Impact factor: 2.375

3.  Family history of breast cancer in first-degree relatives and triple-negative breast cancer risk.

Authors:  Amanda I Phipps; Diana S M Buist; Kathleen E Malone; William E Barlow; Peggy L Porter; Karla Kerlikowske; Christopher I Li
Journal:  Breast Cancer Res Treat       Date:  2010-09-03       Impact factor: 4.872

4.  Smoking interacts with genetic risk factors in the development of rheumatoid arthritis among older Caucasian women.

Authors:  L A Criswell; K G Saag; T R Mikuls; J R Cerhan; L A Merlino; R F Lum; K A Pfeiffer; B Woehl; M F Seldin
Journal:  Ann Rheum Dis       Date:  2006-08-03       Impact factor: 19.103

5.  Breast cancer risk for noncarriers of family-specific BRCA1 and BRCA2 mutations: findings from the Breast Cancer Family Registry.

Authors:  Allison W Kurian; Gail D Gong; Esther M John; David A Johnston; Anna Felberg; Dee W West; Alexander Miron; Irene L Andrulis; John L Hopper; Julia A Knight; Hilmi Ozcelik; Gillian S Dite; Carmel Apicella; Melissa C Southey; Alice S Whittemore
Journal:  J Clin Oncol       Date:  2011-10-31       Impact factor: 44.544

6.  Increased cancer risks for relatives of very early-onset breast cancer cases with and without BRCA1 and BRCA2 mutations.

Authors:  G S Dite; A S Whittemore; J A Knight; E M John; R L Milne; I L Andrulis; M C Southey; M R E McCredie; G G Giles; A Miron; A I Phipps; D W West; J L Hopper
Journal:  Br J Cancer       Date:  2010-09-07       Impact factor: 7.640

7.  Family history of malignancies and risk of breast cancer: prospective data from the Shanghai women's health study.

Authors:  Briseis A Kilfoy; Yawei Zhang; Xiao-Ou Shu; Yu-Tang Gao; Bu-Tian Ji; Gong Yang; Hong Lan Li; Nathaniel Rothman; Wong-Ho Chow; Wei Zheng
Journal:  Cancer Causes Control       Date:  2008-06-25       Impact factor: 2.506

8.  Probability estimation models for prediction of BRCA1 and BRCA2 mutation carriers: COS compares favourably with other models.

Authors:  Hassan Roudgari; Zosia H Miedzybrodzka; Neva E Haites
Journal:  Fam Cancer       Date:  2007-12-21       Impact factor: 2.375

9.  Population-based estimates of the relation between breast cancer risk, tumor subtype, and family history.

Authors:  Megan L Welsh; Diana S M Buist; Erin J Aiello Bowles; Melissa L Anderson; Joann G Elmore; Christopher I Li
Journal:  Breast Cancer Res Treat       Date:  2008-04-25       Impact factor: 4.872

10.  Cancer incidence in relatives of a population-based set of cases of early-onset breast cancer with a known BRCA1 and BRCA2 mutation status.

Authors:  Niklas Loman; Anna Bladström; Oskar Johannsson; Ake Borg; Håkan Olsson
Journal:  Breast Cancer Res       Date:  2003-08-07       Impact factor: 6.466

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