Literature DB >> 22532574

Identification of a novel percent mammographic density locus at 12q24.

Kristen N Stevens1, Sara Lindstrom, Christopher G Scott, Deborah Thompson, Thomas A Sellers, Xianshu Wang, Alice Wang, Elizabeth Atkinson, David N Rider, Jeanette E Eckel-Passow, Jajini S Varghese, Tina Audley, Judith Brown, Jean Leyland, Robert N Luben, Ruth M L Warren, Ruth J F Loos, Nicholas J Wareham, Jingmei Li, Per Hall, Jianjun Liu, Louise Eriksson, Kamila Czene, Janet E Olson, V Shane Pankratz, Zachary Fredericksen, Robert B Diasio, Adam M Lee, John A Heit, Mariza DeAndrade, Ellen L Goode, Robert A Vierkant, Julie M Cunningham, Sebastian M Armasu, Richard Weinshilboum, Brooke L Fridley, Anthony Batzler, James N Ingle, Norman F Boyd, Andrew D Paterson, Johanna Rommens, Lisa J Martin, John L Hopper, Melissa C Southey, Jennifer Stone, Carmel Apicella, Peter Kraft, Susan E Hankinson, Aditi Hazra, David J Hunter, Douglas F Easton, Fergus J Couch, Rulla M Tamimi, Celine M Vachon.   

Abstract

Percent mammographic density adjusted for age and body mass index (BMI) is one of the strongest risk factors for breast cancer and has a heritable component that remains largely unidentified. We performed a three-stage genome-wide association study (GWAS) of percent mammographic density to identify novel genetic loci associated with this trait. In stage 1, we combined three GWASs of percent density comprised of 1241 women from studies at the Mayo Clinic and identified the top 48 loci (99 single nucleotide polymorphisms). We attempted replication of these loci in 7018 women from seven additional studies (stage 2). The meta-analysis of stage 1 and 2 data identified a novel locus, rs1265507 on 12q24, associated with percent density, adjusting for age and BMI (P = 4.43 × 10(-8)). We refined the 12q24 locus with 459 additional variants (stage 3) in a combined analysis of all three stages (n = 10 377) and confirmed that rs1265507 has the strongest association in the 12q24 region (P = 1.03 × 10(-8)). Rs1265507 is located between the genes TBX5 and TBX3, which are members of the phylogenetically conserved T-box gene family and encode transcription factors involved in developmental regulation. Understanding the mechanism underlying this association will provide insight into the genetics of breast tissue composition.

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Year:  2012        PMID: 22532574      PMCID: PMC3384385          DOI: 10.1093/hmg/dds158

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  26 in total

1.  The quantitative analysis of mammographic densities.

Authors:  J W Byng; N F Boyd; E Fishell; R A Jong; M J Yaffe
Journal:  Phys Med Biol       Date:  1994-10       Impact factor: 3.609

Review 2.  Mammographic densities and breast cancer risk.

Authors:  N F Boyd; G A Lockwood; J W Byng; D L Tritchler; M J Yaffe
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1998-12       Impact factor: 4.254

3.  Genetic analysis of mammographic breast density in adult women: evidence of a gene effect.

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Journal:  J Natl Cancer Inst       Date:  1997-04-16       Impact factor: 13.506

4.  Mutations in human TBX5 [corrected] cause limb and cardiac malformation in Holt-Oram syndrome.

Authors:  C T Basson; D R Bachinsky; R C Lin; T Levi; J A Elkins; J Soults; D Grayzel; E Kroumpouzou; T A Traill; J Leblanc-Straceski; B Renault; R Kucherlapati; J G Seidman; C E Seidman
Journal:  Nat Genet       Date:  1997-01       Impact factor: 38.330

5.  LocusZoom: regional visualization of genome-wide association scan results.

Authors:  Randall J Pruim; Ryan P Welch; Serena Sanna; Tanya M Teslovich; Peter S Chines; Terry P Gliedt; Michael Boehnke; Gonçalo R Abecasis; Cristen J Willer
Journal:  Bioinformatics       Date:  2010-07-15       Impact factor: 6.937

6.  Genevar: a database and Java application for the analysis and visualization of SNP-gene associations in eQTL studies.

Authors:  Tsun-Po Yang; Claude Beazley; Stephen B Montgomery; Antigone S Dimas; Maria Gutierrez-Arcelus; Barbara E Stranger; Panos Deloukas; Emmanouil T Dermitzakis
Journal:  Bioinformatics       Date:  2010-08-10       Impact factor: 6.937

7.  A flexible and accurate genotype imputation method for the next generation of genome-wide association studies.

Authors:  Bryan N Howie; Peter Donnelly; Jonathan Marchini
Journal:  PLoS Genet       Date:  2009-06-19       Impact factor: 5.917

8.  Signalling pathways implicated in early mammary gland morphogenesis and breast cancer.

Authors:  Beatrice Howard; Alan Ashworth
Journal:  PLoS Genet       Date:  2006-08-25       Impact factor: 5.917

Review 9.  Identification of signaling pathways in early mammary gland development by mouse genetics.

Authors:  Gertraud W Robinson
Journal:  Breast Cancer Res       Date:  2004-03-09       Impact factor: 6.466

10.  High-resolution mapping of expression-QTLs yields insight into human gene regulation.

Authors:  Jean-Baptiste Veyrieras; Sridhar Kudaravalli; Su Yeon Kim; Emmanouil T Dermitzakis; Yoav Gilad; Matthew Stephens; Jonathan K Pritchard
Journal:  PLoS Genet       Date:  2008-10-10       Impact factor: 5.917

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  16 in total

1.  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

2.  Genome-wide DNA methylation profiles in progression to in situ and invasive carcinoma of the breast with impact on gene transcription and prognosis.

Authors:  Thomas Fleischer; Arnoldo Frigessi; Kevin C Johnson; Hege Edvardsen; Nizar Touleimat; Jovana Klajic; Margit Lh Riis; Vilde D Haakensen; Fredrik Wärnberg; Bjørn Naume; Aslaug Helland; Anne-Lise Børresen-Dale; Jörg Tost; Brock C Christensen; Vessela N Kristensen
Journal:  Genome Biol       Date:  2014-08-22       Impact factor: 13.583

3.  Genetic Aspects of Mammographic Density Measures Associated with Breast Cancer Risk.

Authors:  Shuai Li; Tuong L Nguyen; Tu Nguyen-Dumont; James G Dowty; Gillian S Dite; Zhoufeng Ye; Ho N Trinh; Christopher F Evans; Maxine Tan; Joohon Sung; Mark A Jenkins; Graham G Giles; John L Hopper; Melissa C Southey
Journal:  Cancers (Basel)       Date:  2022-06-02       Impact factor: 6.575

Review 4.  Genetic variation in sensitivity to estrogens and breast cancer risk.

Authors:  D Joseph Jerry; James D Shull; Darryl L Hadsell; Monique Rijnkels; Karen A Dunphy; Sallie S Schneider; Laura N Vandenberg; Prabin Dhangada Majhi; Celia Byrne; Amy Trentham-Dietz
Journal:  Mamm Genome       Date:  2018-02-27       Impact factor: 2.957

5.  Mammographic breast density response to aromatase inhibition.

Authors:  Celine M Vachon; Vera J Suman; Kathleen R Brandt; Matthew L Kosel; Aman U Buzdar; Janet E Olson; Fang-Fang Wu; Lynn M Flickinger; Giske Ursin; Catherine R Elliott; Lois Shepherd; Richard M Weinshilboum; Paul E Goss; James N Ingle
Journal:  Clin Cancer Res       Date:  2013-03-06       Impact factor: 12.531

6.  Genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk.

Authors:  Sara Lindström; Deborah J Thompson; Andrew D Paterson; Jingmei Li; Gretchen L Gierach; Christopher Scott; Jennifer Stone; Julie A Douglas; Isabel dos-Santos-Silva; Pablo Fernandez-Navarro; Jajini Verghase; Paula Smith; Judith Brown; Robert Luben; Nicholas J Wareham; Ruth J F Loos; John A Heit; V Shane Pankratz; Aaron Norman; Ellen L Goode; Julie M Cunningham; Mariza deAndrade; Robert A Vierkant; Kamila Czene; Peter A Fasching; Laura Baglietto; Melissa C Southey; Graham G Giles; Kaanan P Shah; Heang-Ping Chan; Mark A Helvie; Andrew H Beck; Nicholas W Knoblauch; Aditi Hazra; David J Hunter; Peter Kraft; Marina Pollan; Jonine D Figueroa; Fergus J Couch; John L Hopper; Per Hall; Douglas F Easton; Norman F Boyd; Celine M Vachon; Rulla M Tamimi
Journal:  Nat Commun       Date:  2014-10-24       Impact factor: 14.919

7.  The association of copy number variation and percent mammographic density.

Authors:  Elizabeth J Atkinson; Jeanette E Eckel-Passow; Alice Wang; Alexandra J Greenberg; Christopher G Scott; V Shane Pankratz; Kristen N Purrington; Thomas A Sellers; David N Rider; John A Heit; Mariza de Andrade; Julie M Cunningham; Fergus J Couch; Celine M Vachon
Journal:  BMC Res Notes       Date:  2015-07-08

8.  A comprehensive evaluation of interaction between genetic variants and use of menopausal hormone therapy on mammographic density.

Authors:  Anja Rudolph; Peter A Fasching; Sabine Behrens; Ursula Eilber; Manjeet K Bolla; Qin Wang; Deborah Thompson; Kamila Czene; Judith S Brand; Jingmei Li; Christopher Scott; V Shane Pankratz; Kathleen Brandt; Emily Hallberg; Janet E Olson; Adam Lee; Matthias W Beckmann; Arif B Ekici; Lothar Haeberle; Gertraud Maskarinec; Loic Le Marchand; Fredrick Schumacher; Roger L Milne; Julia A Knight; Carmel Apicella; Melissa C Southey; Miroslav K Kapuscinski; John L Hopper; Irene L Andrulis; Graham G Giles; Christopher A Haiman; Kay-Tee Khaw; Robert Luben; Per Hall; Paul D P Pharoah; Fergus J Couch; Douglas F Easton; Isabel Dos-Santos-Silva; Celine Vachon; Jenny Chang-Claude
Journal:  Breast Cancer Res       Date:  2015-08-16       Impact factor: 6.466

9.  Combined effects of endogenous sex hormone levels and mammographic density on postmenopausal breast cancer risk: results from the Breakthrough Generations Study.

Authors:  M J Schoemaker; E J Folkerd; M E Jones; M Rae; S Allen; A Ashworth; M Dowsett; A J Swerdlow
Journal:  Br J Cancer       Date:  2014-02-11       Impact factor: 7.640

10.  High mammographic density in women of Ashkenazi Jewish descent.

Authors:  Jennifer L Caswell; Karla Kerlikowske; John A Shepherd; Steven R Cummings; Donglei Hu; Scott Huntsman; Elad Ziv
Journal:  Breast Cancer Res       Date:  2013-05-13       Impact factor: 6.466

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