Literature DB >> 2491011

Evaluating genetic association among ovarian, breast, and endometrial cancer: evidence for a breast/ovarian cancer relationship.

J M Schildkraut1, N Risch, W D Thompson.   

Abstract

The possibility of a genetic relationship between ovarian, breast, and endometrial cancer was investigated in data from a large multicenter, population-based, case-control study, the Cancer and Steroid Hormone Study conducted by the Centers for Disease Control (CDC). Age-adjusted relative risks (RRs) for mothers and sisters of 493 ovarian cancer cases, 895 breast cancer cases, and 143 endometrial cancer cases versus 4,754 controls were calculated. Significantly elevated age-adjusted RRs were found for ovarian cancer (RR = 2.8; 95% confidence interval [CI] = 1.6-4.9) and breast cancer (RR = 1.6; 95% CI = 1.1-2.1) among relatives of ovarian cancer probands and for breast cancer (RR = 2.1; 95% CI = 1.7-2.5) and ovarian cancer (RR = 1.7; 95% CI = 1.0-2.0) among relatives of breast cancer probands. Relatives of endometrial cancer probands had an elevated RR for endometrial cancer only (RR = 2.7; 95% CI = 1.6-4.8). The genetic relationship between ovarian, breast, and endometrial cancer was tested using a multivariate polygenic threshold model developed by Smith (1976), which was modified to accommodate three classes of probands. Estimates of heritability for ovarian, breast, and endometrial cancer were 40%, 56%, and 52%, respectively. There was a significant genetic correlation between ovarian and breast cancer (R12 = .484). Evidence for significant genetic overlap between endometrial cancer and either ovarian or breast cancer was not found. These results suggest the existence of a familial breast/ovarian cancer syndrome. Endometrial cancer, while heritable, appears to be genetically unrelated.

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Year:  1989        PMID: 2491011      PMCID: PMC1683499     

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  22 in total

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Authors:  H Sheshberadaran; L G Payne
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2.  Estimating morbidity risks with variable age of onset: review of methods and a maximum likelihood approach.

Authors:  N Risch
Journal:  Biometrics       Date:  1983-12       Impact factor: 2.571

3.  Genetic epidemiology of breast cancer: segregation analysis of 200 Danish pedigrees.

Authors:  W R Williams; D E Anderson
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4.  Determinants of ovarian cancer risk. I. Reproductive experiences and family history.

Authors:  D W Cramer; G B Hutchison; W R Welch; R E Scully; K J Ryan
Journal:  J Natl Cancer Inst       Date:  1983-10       Impact factor: 13.506

Review 5.  Retinoblastoma: clues to human oncogenesis.

Authors:  A L Murphree; W F Benedict
Journal:  Science       Date:  1984-03-09       Impact factor: 47.728

6.  A case-control study of cancer of the endometrium.

Authors:  J L Kelsey; V A LiVolsi; T R Holford; D B Fischer; E D Mostow; P E Schwartz; T O'Connor; C White
Journal:  Am J Epidemiol       Date:  1982-08       Impact factor: 4.897

7.  Risk of breast cancer to relatives of young breast cancer patients.

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Journal:  J Natl Cancer Inst       Date:  1985-10       Impact factor: 13.506

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Authors:  H T Lynch; W A Albano; J F Lynch; P M Lynch; A Campbell
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9.  Segregation analysis of hereditary nonpolyposis colorectal cancer.

Authors:  J E Bailey-Wilson; R C Elston; G S Schuelke; W Kimberling; W Albano; J F Lynch; H T Lynch
Journal:  Genet Epidemiol       Date:  1986       Impact factor: 2.135

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Journal:  J Natl Cancer Inst       Date:  1971-01       Impact factor: 13.506

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  32 in total

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Authors:  P J Suris-Swartz; J M Schildkraut; M F Vine; I Hertz-Picciotto
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2.  Ovarian Cancer in Women of African Ancestry (OCWAA) consortium: a resource of harmonized data from eight epidemiologic studies of African American and white women.

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Journal:  Cancer Causes Control       Date:  2019-06-24       Impact factor: 2.506

3.  Pathway-based approaches for sequencing-based genome-wide association studies.

Authors:  Guodong Wu; Degui Zhi
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Review 4.  Molecular genetics of familial breast-ovarian cancer.

Authors:  E J van Rensburg; B A Ponder
Journal:  J Clin Pathol       Date:  1995-09       Impact factor: 3.411

5.  Risk Prediction for Epithelial Ovarian Cancer in 11 United States-Based Case-Control Studies: Incorporation of Epidemiologic Risk Factors and 17 Confirmed Genetic Loci.

Authors:  Merlise A Clyde; Rachel Palmieri Weber; Edwin S Iversen; Elizabeth M Poole; Jennifer A Doherty; Marc T Goodman; Roberta B Ness; Harvey A Risch; Mary Anne Rossing; Kathryn L Terry; Nicolas Wentzensen; Alice S Whittemore; Hoda Anton-Culver; Elisa V Bandera; Andrew Berchuck; Michael E Carney; Daniel W Cramer; Julie M Cunningham; Kara L Cushing-Haugen; Robert P Edwards; Brooke L Fridley; Ellen L Goode; Galina Lurie; Valerie McGuire; Francesmary Modugno; Kirsten B Moysich; Sara H Olson; Celeste Leigh Pearce; Malcolm C Pike; Joseph H Rothstein; Thomas A Sellers; Weiva Sieh; Daniel Stram; Pamela J Thompson; Robert A Vierkant; Kristine G Wicklund; Anna H Wu; Argyrios Ziogas; Shelley S Tworoger; Joellen M Schildkraut
Journal:  Am J Epidemiol       Date:  2016-10-03       Impact factor: 4.897

6.  Frequent occurrence of BRCA2 linkage in Icelandic breast cancer families and segregation of a common BRCA2 haplotype.

Authors:  J Gudmundsson; G Johannesdottir; A Arason; J T Bergthorsson; S Ingvarsson; V Egilsson; R B Barkardottir
Journal:  Am J Hum Genet       Date:  1996-04       Impact factor: 11.025

7.  Familial effects of prostate and other cancers on lifetime breast cancer risk.

Authors:  D E Anderson; M D Badzioch
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8.  The calculation of breast cancer risk for women with a first degree family history of ovarian cancer.

Authors:  E B Claus; N Risch; W D Thompson
Journal:  Breast Cancer Res Treat       Date:  1993-11       Impact factor: 4.872

9.  Genetic linkage analysis in familial breast and ovarian cancer: results from 214 families. The Breast Cancer Linkage Consortium.

Authors:  D F Easton; D T Bishop; D Ford; G P Crockford
Journal:  Am J Hum Genet       Date:  1993-04       Impact factor: 11.025

Review 10.  Familial risk and genetic susceptibility for breast cancer.

Authors:  N Eby; J Chang-Claude; D T Bishop
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