Literature DB >> 17804758

Strong evidence of a genetic determinant for mammographic density, a major risk factor for breast cancer.

Celine M Vachon1, Thomas A Sellers, Erin E Carlson, Julie M Cunningham, Christopher A Hilker, Regenia L Smalley, Daniel J Schaid, Linda E Kelemen, Fergus J Couch, V Shane Pankratz.   

Abstract

Increased mammographic density (MD), the proportion of dense tissue visible on a mammogram, is a strong risk factor for breast cancer, common in the population and clusters in families. We conducted the first genome-wide linkage scan to identify genes influencing MD. DNA was obtained from 889 relatives (756 women, 133 men) from 89 families. Percent MD was estimated on 618 (82%) female family members using a validated computer-assisted thresholding method. The genome-wide scan included 403 microsatellite DNA markers with an average spacing of 9 cM. Fine mapping of a region of chromosome 5p (5p13.1-5p15.1) was done using 21 additional closely spaced DNA markers. Linkage analyses were conducted to quantify the evidence for a gene responsible for MD across the genome. The maximum log odds for linkage (LOD) score from the genome-wide scan was on chromosome 5p (LOD = 2.9, supporting linkage by a factor of 10(2.9) or 794 to 1) with a 1-LOD interval spanning 28.6 cM. Two suggestive regions for linkage were also identified on chromosome 12 (LOD = 2.6, 1-LOD interval of 14.8 cM; and LOD = 2.5, 1-LOD interval of 17.2 cM). Finer mapping of the region surrounding the maximum LOD on chromosome 5p resulted in stronger and statistically significant evidence for linkage (LOD = 4.2) and a narrowed 1-LOD interval (13.4 cM). The putative locus on chromosome 5p is likely to account for up to 22% of variation in MD. Hence, 1 or more of the 45 candidate genes in this region could explain a large proportion of MD and, potentially, breast cancer.

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Year:  2007        PMID: 17804758     DOI: 10.1158/0008-5472.CAN-07-1076

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  32 in total

1.  Distribution of mammographic density and its influential factors among Chinese women.

Authors:  Hongji Dai; Ye Yan; Peishan Wang; Peifang Liu; Yali Cao; Li Xiong; Yahong Luo; Tie Pan; Xiangjun Ma; Jie Wang; Zhenhua Yang; Xueou Liu; Chuan Chen; Yubei Huang; Yi Li; Yaogang Wang; Xishan Hao; Zhaoxiang Ye; Kexin Chen
Journal:  Int J Epidemiol       Date:  2014-03-16       Impact factor: 7.196

2.  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

3.  Using multiscale texture and density features for near-term breast cancer risk analysis.

Authors:  Wenqing Sun; Tzu-Liang Bill Tseng; Wei Qian; Jianying Zhang; Edward C Saltzstein; Bin Zheng; Fleming Lure; Hui Yu; Shi Zhou
Journal:  Med Phys       Date:  2015-06       Impact factor: 4.071

4.  Dense Breast Tissue as an Important Risk Factor for Breast Cancer and Implications for Early Detection.

Authors:  Ingrid Schreer
Journal:  Breast Care (Basel)       Date:  2009-04-24       Impact factor: 2.860

Review 5.  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

6.  Predictors of mammographic density: insights gained from a novel regression analysis of a twin study.

Authors:  Gillian S Dite; Lyle C Gurrin; Graham B Byrnes; Jennifer Stone; Anoma Gunasekara; Margaret R E McCredie; Dallas R English; Graham G Giles; Jennifer Cawson; Robert A Hegele; Anna M Chiarelli; Martin J Yaffe; Norman F Boyd; John L Hopper
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-12       Impact factor: 4.254

7.  Mammographic breast density--evidence for genetic correlations with established breast cancer risk factors.

Authors:  Julie A Douglas; Marie-Hélène Roy-Gagnon; Chuan Zhou; Braxton D Mitchell; Alan R Shuldiner; Heang-Ping Chan; Mark A Helvie
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-11-24       Impact factor: 4.254

8.  Bilateral mammographic density asymmetry and breast cancer risk: a preliminary assessment.

Authors:  Bin Zheng; Jules H Sumkin; Margarita L Zuley; Xingwei Wang; Amy H Klym; David Gur
Journal:  Eur J Radiol       Date:  2012-05-12       Impact factor: 3.528

Review 9.  Early detection of breast cancer: benefits and risks of supplemental breast ultrasound in asymptomatic women with mammographically dense breast tissue. A systematic review.

Authors:  Monika Nothacker; Volker Duda; Markus Hahn; Mathias Warm; Friedrich Degenhardt; Helmut Madjar; Susanne Weinbrenner; Ute-Susann Albert
Journal:  BMC Cancer       Date:  2009-09-20       Impact factor: 4.430

10.  The spatial distribution of radiodense breast tissue: a longitudinal study.

Authors:  Snehal M Pinto Pereira; Valerie A McCormack; Sue M Moss; Isabel dos Santos Silva
Journal:  Breast Cancer Res       Date:  2009-06-03       Impact factor: 6.466

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