Literature DB >> 15377839

Heritable aspects of dysplastic breast glandular tissue (DY).

G Haars1, P A H van Noord, C H van Gils, P H M Peeters, D E Grobbee.   

Abstract

Breast parenchymal patterns, as visible on mammograms, are determined by the relative amount of radio-dense, glandular dysplastic tissue DY). High percentages of DY are related to higher breast cancer risk. Previous studies reported heritable influences on DY of 32-67%, depending on the family relationship that was studied. depending on the family relationship that was studied. We assessed heritability in 466 sister-, 25 dizygotic twin- and 26 monozygotic twin-pairs participating in a population-based breast cancer screening program; the DOM project (Diagnostic Investigation Mamma Carcinoma). The heritability was estimated for non-twin sisters, dizygotic and monozygotic twins seperately by computing correlations between siblings from the dichotomous DY-score (high risk versus low risk). This was done using methods based on the number of shared genes per sibtype. Heritability estimates were 38, 34 and 88% for sisters, dizygotic twins and monozygotic twins respectively. Heritability estimates from models that combine monozygotic twins with dizygotic twins or sisters indicated that combine monozygotic twins with dizygotic twins or sisters indicated that dominant gene effects, genetic interactions or gene-environment effects could be involved. Parity appeared to have an effect on the heritabile influence with estimates ranging from 90% in sisters that were both nulliparous, to 2% in sisterpairs discordant for nulliparity. These result indicate a substantial genetic influence on DY, but with a possible modifying ability of other factors, such as parity.

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Year:  2004        PMID: 15377839     DOI: 10.1023/B:BREA.0000041621.48575.9b

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  6 in total

1.  Mammographic density does not differ between unaffected BRCA1/2 mutation carriers and women at low-to-average risk of breast cancer.

Authors:  Gretchen L Gierach; Jennifer T Loud; Catherine K Chow; Sheila A Prindiville; Jennifer Eng-Wong; Peter W Soballe; Claudia Giambartolomei; Phuong L Mai; Claudia E Galbo; Kathryn Nichols; Kathleen A Calzone; Celine Vachon; Mitchell H Gail; Mark H Greene
Journal:  Breast Cancer Res Treat       Date:  2010-02-04       Impact factor: 4.872

Review 2.  Can genes for mammographic density inform cancer aetiology?

Authors:  Linda E Kelemen; Thomas A Sellers; Celine M Vachon
Journal:  Nat Rev Cancer       Date:  2008-09-05       Impact factor: 60.716

3.  Mammographic density and breast cancer in women from high risk families.

Authors:  Teresa Ramón Y Cajal; Isabel Chirivella; Josefa Miranda; Alexandre Teule; Ángel Izquierdo; Judith Balmaña; Ana Beatriz Sánchez-Heras; Gemma Llort; David Fisas; Virginia Lope; Elena Hernández-Agudo; María José Juan-Fita; Isabel Tena; Luis Robles; Carmen Guillén-Ponce; Pedro Pérez-Segura; Mari Sol Luque-Molina; Susana Hernando-Polo; Mónica Salinas; Joan Brunet; María Dolores Salas-Trejo; Agustí Barnadas; Marina Pollán
Journal:  Breast Cancer Res       Date:  2015-07-11       Impact factor: 6.466

4.  Relationships between computer-extracted mammographic texture pattern features and BRCA1/2 mutation status: a cross-sectional study.

Authors:  Gretchen L Gierach; Hui Li; Jennifer T Loud; Mark H Greene; Catherine K Chow; Li Lan; Sheila A Prindiville; Jennifer Eng-Wong; Peter W Soballe; Claudia Giambartolomei; Phuong L Mai; Claudia E Galbo; Kathryn Nichols; Kathleen A Calzone; Olufunmilayo I Olopade; Mitchell H Gail; Maryellen L Giger
Journal:  Breast Cancer Res       Date:  2014-08-23       Impact factor: 6.466

5.  Mammographic density does not correlate with Ki-67 expression or cytomorphology in benign breast cells obtained by random periareolar fine needle aspiration from women at high risk for breast cancer.

Authors:  Qamar J Khan; Bruce F Kimler; Anne P O'Dea; Carola M Zalles; Priyanka Sharma; Carol J Fabian
Journal:  Breast Cancer Res       Date:  2007       Impact factor: 6.466

Review 6.  Mammographic density. Potential mechanisms of breast cancer risk associated with mammographic density: hypotheses based on epidemiological evidence.

Authors:  Lisa J Martin; Norman F Boyd
Journal:  Breast Cancer Res       Date:  2008-01-09       Impact factor: 6.466

  6 in total

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