Literature DB >> 1990835

Genetic analysis of breast cancer in the cancer and steroid hormone study.

E B Claus1, N Risch, W D Thompson.   

Abstract

The familial risk of breast cancer is investigated in a large population-based, case-control study conducted by the Centers for Disease Control. The data set is based on 4,730 histologically confirmed breast cancer cases aged 20 to 54 years and on 4,688 controls who were frequency matched to cases on the basis of both geographic region and 5-year categories of age, and it includes family histories, obtained through interviews of cases and controls, of breast cancer in mothers and sisters. Segregation analysis and goodness-of-fit tests of genetic models provide evidence for the existence of a rare autosomal dominant allele (q = .0033) leading to increased susceptibility to breast cancer. The effect of genotype on the risk of breast cancer is shown to be a function of a woman's age. Although, compared with noncarriers, carriers of the allele appear to be at greater risk at all ages, the ratio of age-specific risks is greatest at young ages and declines steadily thereafter. The proportion of cases predicted to carry the allele is highest (36%) among cases aged 20-29 years. This proportion gradually decreases to 1% among cases aged 80 years or older. The cumulative lifetime risk of breast cancer for women who carry the susceptibility allele is predicted to be high, approximately 92%, while the cumulative lifetime risk for noncarriers is estimated to be approximately 10%.

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Year:  1991        PMID: 1990835      PMCID: PMC1683001     

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


  13 in total

1.  Segregation and linkage analysis of nine Utah breast cancer pedigrees.

Authors:  D T Bishop; L Cannon-Albright; T McLellan; E J Gardner; M H Skolnick
Journal:  Genet Epidemiol       Date:  1988       Impact factor: 2.135

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

Authors:  W R Williams; D E Anderson
Journal:  Genet Epidemiol       Date:  1984       Impact factor: 2.135

3.  Complex segregation analysis with pointers.

Authors:  J M Lalouel; N E Morton
Journal:  Hum Hered       Date:  1981       Impact factor: 0.444

4.  Genetic epidemiology of breast cancer and associated cancers in high-risk families. I. Segregation analysis.

Authors:  R C Go; M C King; J Bailey-Wilson; R C Elston; H T Lynch
Journal:  J Natl Cancer Inst       Date:  1983-09       Impact factor: 13.506

5.  Family history and the risk of breast cancer.

Authors:  R W Sattin; G L Rubin; L A Webster; C M Huezo; P A Wingo; H W Ory; P M Layde
Journal:  JAMA       Date:  1985-04-05       Impact factor: 56.272

6.  A genetic epidemiologic investigation of breast cancer in families with bilateral breast cancer. I. Segregation analysis.

Authors:  A M Goldstein; R W Haile; M L Marazita; A Paganini-Hill
Journal:  J Natl Cancer Inst       Date:  1987-05       Impact factor: 13.506

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

Authors:  A G Schwartz; M C King; S H Belle; W A Satariano; G M Swanson
Journal:  J Natl Cancer Inst       Date:  1985-10       Impact factor: 13.506

8.  Breast cancer family history as a risk factor for early onset breast cancer.

Authors:  H T Lynch; P Watson; T Conway; M L Fitzsimmons; J Lynch
Journal:  Breast Cancer Res Treat       Date:  1988-07       Impact factor: 4.872

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

Authors:  J M Schildkraut; N Risch; W D Thompson
Journal:  Am J Hum Genet       Date:  1989-10       Impact factor: 11.025

10.  Possible heterogeneity in the segregation pattern of breast cancer in families with bilateral breast cancer.

Authors:  A M Goldstein; R W Haile; S E Hodge; A Paganini-Hill; M A Spence
Journal:  Genet Epidemiol       Date:  1988       Impact factor: 2.135

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  225 in total

1.  After BRCA1 and BRCA2-what next? Multifactorial segregation analyses of three-generation, population-based Australian families affected by female breast cancer.

Authors:  J Cui; A C Antoniou; G S Dite; M C Southey; D J Venter; D F Easton; G G Giles; M R McCredie; J L Hopper
Journal:  Am J Hum Genet       Date:  2000-12-27       Impact factor: 11.025

Review 2.  Evidence based case report: Advice about mammography for a young woman with a family history of breast cancer.

Authors:  A Lucassen; E Watson; D Eccles
Journal:  BMJ       Date:  2001-04-28

3.  BRCA1 is phosphorylated at serine 1497 in vivo at a cyclin-dependent kinase 2 phosphorylation site.

Authors:  H Ruffner; W Jiang; A G Craig; T Hunter; I M Verma
Journal:  Mol Cell Biol       Date:  1999-07       Impact factor: 4.272

4.  A model protocol evaluating the introduction of genetic assessment for women with a family history of breast cancer.

Authors:  J Gray; K Brain; P Norman; C Anglim; L France; G Barton; L Branston; E Parsons; A Clarke; J Sampson; E Roberts; R Newcombe; D Cohen; C Rogers; R Mansel; P Harper
Journal:  J Med Genet       Date:  2000-03       Impact factor: 6.318

5.  DNA pooling in mutation detection with reference to sequence analysis.

Authors:  C I Amos; M L Frazier; W Wang
Journal:  Am J Hum Genet       Date:  1999-03-24       Impact factor: 11.025

6.  Bias and efficiency in family-based gene-characterization studies: conditional, prospective, retrospective, and joint likelihoods.

Authors:  P Kraft; D C Thomas
Journal:  Am J Hum Genet       Date:  2000-03       Impact factor: 11.025

7.  Computer support for genetic advice in primary care.

Authors:  J Emery
Journal:  Br J Gen Pract       Date:  1999-07       Impact factor: 5.386

Review 8.  Why should primary care physicians know about breast cancer genetics?

Authors:  L E Pinsky; J B Culver; J Hull; E Levy-Lahad; M Daly; W Burke
Journal:  West J Med       Date:  2001-09

9.  Genetic susceptibility to breast cancer: HLA DQB*03032 and HLA DRB1*11 may represent protective alleles.

Authors:  S Chaudhuri; A Cariappa; M Tang; D Bell; D A Haber; K J Isselbacher; D Finkelstein; D Forcione; S Pillai
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-10       Impact factor: 11.205

Review 10.  Breast cancer hypothesis: a single cause for the majority of cases.

Authors:  R A Wiseman
Journal:  J Epidemiol Community Health       Date:  2000-11       Impact factor: 3.710

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