Literature DB >> 16614099

The heritability of mammographically dense and nondense breast tissue.

Jennifer Stone1, Gillian S Dite, Anoma Gunasekara, Dallas R English, Margaret R E McCredie, Graham G Giles, Jennifer N Cawson, Robert A Hegele, Anna M Chiarelli, Martin J Yaffe, Norman F Boyd, John L Hopper.   

Abstract

BACKGROUND: Percent mammographic density (PMD) is a risk factor for breast cancer. Our previous twin study showed that the heritability of PMD was 63%. This study determined the heritabilities of the components of PMD, the areas of dense and nondense tissue in the mammogram.
METHODS: We combined two twin studies comprising 571 monozygous and 380 dizygous twin pairs recruited from Australia and North America. Dense and nondense areas were measured using a computer-assisted method, and information about potential determinants was obtained by questionnaire. Under the assumptions of the classic twin model, we estimated the heritability of the log dense area and log nondense area and the genetic and environmental contributions to the covariance between the two traits, using maximum likelihood theory and the statistical package FISHER.
RESULTS: After adjusting for measured determinants, for each of the log dense area and the log nondense area, the monozygous correlations were greater than the dizygous correlations. Heritability was estimated to be 65% (95% confidence interval, 60-70%) for dense area and 66% (95% confidence interval, 61-71%) for nondense area. The correlations (SE) between the two adjusted traits were -0.35 (0.023) in the same individual, -0.26 (0.026) across monozygous pairs, and -0.14 (0.034) across dizygous pairs.
CONCLUSION: Genetic factors may play a large role in explaining variation in the mammographic areas of both dense and nondense tissue. About two thirds of the negative correlation between dense and nondense area is explained by the same genetic factors influencing both traits, but in opposite directions.

Entities:  

Mesh:

Year:  2006        PMID: 16614099     DOI: 10.1158/1055-9965.EPI-05-0127

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


  37 in total

Review 1.  Breast tissue composition and susceptibility to breast cancer.

Authors:  Norman F Boyd; Lisa J Martin; Michael Bronskill; Martin J Yaffe; Neb Duric; Salomon Minkin
Journal:  J Natl Cancer Inst       Date:  2010-07-08       Impact factor: 13.506

2.  Comparative study of density analysis using automated whole breast ultrasound and MRI.

Authors:  Woo Kyung Moon; Yi-Wei Shen; Chiun-Sheng Huang; Sheng-Chy Luo; Aida Kuzucan; Jeon-Hor Chen; Ruey-Feng Chang
Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

3.  Heritability of mammographic breast density.

Authors:  D Gareth Evans; Elke M van Veen; Anthony Howell; Susan Astley
Journal:  Quant Imaging Med Surg       Date:  2020-12

Review 4.  Integrins in development and cancer.

Authors:  Luke R Anderson; Thomas W Owens; Matthew J Naylor
Journal:  Biophys Rev       Date:  2013-10-17

5.  Longitudinal Study of Mammographic Density Measures That Predict Breast Cancer Risk.

Authors:  Kavitha Krishnan; Laura Baglietto; Jennifer Stone; Julie A Simpson; Gianluca Severi; Christopher F Evans; Robert J MacInnis; Graham G Giles; Carmel Apicella; John L Hopper
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-01-06       Impact factor: 4.254

6.  Stiff stroma increases breast cancer risk by inducing the oncogene ZNF217.

Authors:  Jason J Northey; Alexander S Barrett; Irene Acerbi; Mary-Kate Hayward; Stephanie Talamantes; Ivory S Dean; Janna K Mouw; Suzanne M Ponik; Jonathon N Lakins; Po-Jui Huang; Junmin Wu; Quanming Shi; Susan Samson; Patricia J Keely; Rita A Mukhtar; Jan T Liphardt; John A Shepherd; E Shelley Hwang; Yunn-Yi Chen; Kirk C Hansen; Laurie E Littlepage; Valerie M Weaver
Journal:  J Clin Invest       Date:  2020-11-02       Impact factor: 14.808

7.  Novel Associations between Common Breast Cancer Susceptibility Variants and Risk-Predicting Mammographic Density Measures.

Authors:  Jennifer Stone; Deborah J Thompson; Isabel Dos Santos Silva; Christopher Scott; Rulla M Tamimi; Sara Lindstrom; Peter Kraft; Aditi Hazra; Jingmei Li; Louise Eriksson; Kamila Czene; Per Hall; Matt Jensen; Julie Cunningham; Janet E Olson; Kristen Purrington; Fergus J Couch; Judith Brown; Jean Leyland; Ruth M L Warren; Robert N Luben; Kay-Tee Khaw; Paula Smith; Nicholas J Wareham; Sebastian M Jud; Katharina Heusinger; Matthias W Beckmann; Julie A Douglas; Kaanan P Shah; Heang-Ping Chan; Mark A Helvie; Loic Le Marchand; Laurence N Kolonel; Christy Woolcott; Gertraud Maskarinec; Christopher Haiman; Graham G Giles; Laura Baglietto; Kavitha Krishnan; Melissa C Southey; Carmel Apicella; Irene L Andrulis; Julia A Knight; Giske Ursin; Grethe I Grenaker Alnaes; Vessela N Kristensen; Anne-Lise Borresen-Dale; Inger Torhild Gram; Manjeet K Bolla; Qin Wang; Kyriaki Michailidou; Joe Dennis; Jacques Simard; Paul Pharoah; Alison M Dunning; Douglas F Easton; Peter A Fasching; V Shane Pankratz; John L Hopper; Celine M Vachon
Journal:  Cancer Res       Date:  2015-04-10       Impact factor: 12.701

8.  Common breast cancer susceptibility variants in LSP1 and RAD51L1 are associated with mammographic density measures that predict breast cancer risk.

Authors:  Celine M Vachon; Christopher G Scott; Peter A Fasching; Per Hall; Rulla M Tamimi; Jingmei Li; Jennifer Stone; Carmel Apicella; Fabrice Odefrey; Gretchen L Gierach; Sebastian M Jud; Katharina Heusinger; Matthias W Beckmann; Marina Pollan; Pablo Fernández-Navarro; Anna Gonzalez-Neira; Javier Benitez; Carla H van Gils; Mariëtte Lokate; N Charlotte Onland-Moret; Petra H M Peeters; Judith Brown; Jean Leyland; Jajini S Varghese; Douglas F Easton; Deborah J Thompson; Robert N Luben; Ruth M L Warren; Nicholas J Wareham; Ruth J F Loos; Kay-Tee Khaw; Giske Ursin; Eunjung Lee; Simon A Gayther; Susan J Ramus; Rosalind A Eeles; Martin O Leach; Gek Kwan-Lim; Fergus J Couch; Graham G Giles; Laura Baglietto; Kavitha Krishnan; Melissa C Southey; Loic Le Marchand; Laurence N Kolonel; Christy Woolcott; Gertraud Maskarinec; Christopher A Haiman; Kate Walker; Nichola Johnson; Valeria A McCormack; Margarethe Biong; Grethe I G Alnaes; Inger Torhild Gram; Vessela N Kristensen; Anne-Lise Børresen-Dale; Sara Lindström; Susan E Hankinson; David J Hunter; Irene L Andrulis; Julia A Knight; Norman F Boyd; Jonine D Figuero; Jolanta Lissowska; Ewa Wesolowska; Beata Peplonska; Agnieszka Bukowska; Edyta Reszka; JianJun Liu; Louise Eriksson; Kamila Czene; Tina Audley; Anna H Wu; V Shane Pankratz; John L Hopper; Isabel dos-Santos-Silva
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-03-27       Impact factor: 4.254

9.  JNK1 stress signaling is hyper-activated in high breast density and the tumor stroma: connecting fibrosis, inflammation, and stemness for cancer prevention.

Authors:  Michael P Lisanti; Aristotelis Tsirigos; Stephanos Pavlides; Kimberley Jayne Reeves; Maria Peiris-Pagès; Amy L Chadwick; Rosa Sanchez-Alvarez; Rebecca Lamb; Anthony Howell; Ubaldo E Martinez-Outschoorn; Federica Sotgia
Journal:  Cell Cycle       Date:  2013-12-05       Impact factor: 4.534

10.  Genotypes and haplotypes in the insulin-like growth factors, their receptors and binding proteins in relation to plasma metabolic levels and mammographic density.

Authors:  Margarethe Biong; Inger T Gram; Ilene Brill; Fredrik Johansen; Hiroko K Solvang; Grethe I G Alnaes; Toril Fagerheim; Yngve Bremnes; Stephen J Chanock; Laurie Burdett; Meredith Yeager; Giske Ursin; Vessela N Kristensen
Journal:  BMC Med Genomics       Date:  2010-03-19       Impact factor: 3.063

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.