Literature DB >> 10613336

Fifty-year follow-up of cancer incidence in a historical cohort of Minnesota breast cancer families.

T A Sellers1, R A King, J R Cerhan, P L Chen, D M Grabrick, L H Kushi, W S Oetting, R A Vierkant, C M Vachon, F J Couch, T M Therneau, J E Olson, V S Pankratz, L C Hartmann, V E Anderson.   

Abstract

A family history of breast cancer is well established as a risk factor for the disease. Because family history is a dynamic rather than a static characteristic, longitudinal studies of entire families can be very instructive in quantifying the significance of risk classification. The Minnesota Breast Cancer Family Study is a historical cohort study of relatives of a consecutive series of 426 breast cancer cases (probands) identified between 1944 and 1952. The incidence of cancer and the measurement of risk factors in sisters, daughters, granddaughters, nieces, and marry-ins was determined through telephone interviews and mailed questionnaires. Ninety-eight percent of eligible families were recruited, and 93% of members participated. A total of 9073 at-risk women were studied: 56% were biological relatives of the case probands, whereas the others were related through marriage. Through 1996, 564 breast cancers were identified in nonprobands. Compared to the rate of breast cancer among marry-ins (188 cases), sisters and daughters of the probands were at a 1.9-fold greater age-adjusted risk (128 cases; 95% confidence interval, 1.4-2.4); granddaughters and nieces were at a 1.5-fold greater risk (248 cases, 95% confidence interval, 1.2-1.8). The breast cancer risk since 1952 was not distributed equally across families: although all biological relatives had a family history of breast cancer, 166 families (39%) experienced no additional cases. Most of the cases occurred among a subset of families: 21 families had 5 breast or ovarian cancers, 8 had 6, 2 had 7, and 4 had > or =8. There was no evidence of significantly increased risk for cancer at other sites, including the ovaries, cervix, uterus, colon, pancreas, stomach, or lymphatic tissue, although there was some evidence that stomach cancer in previous generations may help define the susceptible subset. These families contain four to five generations of validated occurrences of cancer, thus minimizing the uncertainty of genetic risk inherent in a disease with a late and variable age at onset. The patterns of breast cancer in these multigeneration families is consistent with the influence of autosomal dominant susceptibility in a subset, low penetrance genes in another, and purely environmental influences in the remainder.

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Year:  1999        PMID: 10613336

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  8 in total

1.  Familial and perceived risk of breast cancer in relation to use of complementary medicine.

Authors:  Cynthia D Myers; Paul B Jacobsen; Yifan Huang; Marlene H Frost; Christi A Patten; James R Cerhan; Thomas A Sellers
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-06-09       Impact factor: 4.254

2.  Adult daughters' reports of breast cancer risk reduction and early detection advice received from their mothers: an exploratory study.

Authors:  Pamela S Sinicrope; Christi A Patten; Lara P Clark; Tabetha A Brockman; Emily E Rock; Marlene H Frost; Larra R Petersen; Robert A Vierkant; Celine M Vachon; Zachary S Fredericksen; Carol A Janney; Thomas A Sellers; James R Cerhan
Journal:  Psychooncology       Date:  2009-02       Impact factor: 3.894

3.  Mediterranean diet and breast density in the Minnesota Breast Cancer Family Study.

Authors:  Marilyn Tseng; Thomas A Sellers; Robert A Vierkant; Lawrence H Kushi; Celine M Vachon
Journal:  Nutr Cancer       Date:  2008       Impact factor: 2.900

4.  The association of copy number variation and percent mammographic density.

Authors:  Elizabeth J Atkinson; Jeanette E Eckel-Passow; Alice Wang; Alexandra J Greenberg; Christopher G Scott; V Shane Pankratz; Kristen N Purrington; Thomas A Sellers; David N Rider; John A Heit; Mariza de Andrade; Julie M Cunningham; Fergus J Couch; Celine M Vachon
Journal:  BMC Res Notes       Date:  2015-07-08

5.  Cohort Profile: The Breast Cancer Prospective Family Study Cohort (ProF-SC).

Authors:  Mary Beth Terry; Kelly-Anne Phillips; Mary B Daly; Esther M John; Irene L Andrulis; Saundra S Buys; David E Goldgar; Julia A Knight; Alice S Whittemore; Wendy K Chung; Carmel Apicella; John L Hopper
Journal:  Int J Epidemiol       Date:  2015-07-13       Impact factor: 7.196

6.  FamAgg: an R package to evaluate familial aggregation of traits in large pedigrees.

Authors:  Johannes Rainer; Daniel Taliun; Yuri D'Elia; Cristian Pattaro; Francisco S Domingues; Christian X Weichenberger
Journal:  Bioinformatics       Date:  2016-01-22       Impact factor: 6.937

7.  Comparative assessment of different familial aggregation methods in the context of large and unstructured pedigrees.

Authors:  Christian X Weichenberger; Johannes Rainer; Cristian Pattaro; Peter P Pramstaller; Francisco S Domingues
Journal:  Bioinformatics       Date:  2019-01-01       Impact factor: 6.937

8.  Adolescent and early adulthood inflammation-associated dietary patterns in relation to premenopausal mammographic density.

Authors:  Nichole A Garzia; Kara Cushing-Haugen; Thomas W Kensler; Rulla M Tamimi; Holly R Harris
Journal:  Breast Cancer Res       Date:  2021-07-07       Impact factor: 6.466

  8 in total

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