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Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci

Authors :
Hongjie Chen
Shaoqi Fan
Jennifer Stone
Deborah J. Thompson
Julie Douglas
Shuai Li
Christopher Scott
Manjeet K. Bolla
Qin Wang
Joe Dennis
Kyriaki Michailidou
Christopher Li
Ulrike Peters
John L. Hopper
Melissa C. Southey
Tu Nguyen-Dumont
Tuong L. Nguyen
Peter A. Fasching
Annika Behrens
Gemma Cadby
Rachel A. Murphy
Kristan Aronson
Anthony Howell
Susan Astley
Fergus Couch
Janet Olson
Roger L. Milne
Graham G. Giles
Christopher A. Haiman
Gertraud Maskarinec
Stacey Winham
Esther M. John
Allison Kurian
Heather Eliassen
Irene Andrulis
D. Gareth Evans
William G. Newman
Per Hall
Kamila Czene
Anthony Swerdlow
Michael Jones
Marina Pollan
Pablo Fernandez-Navarro
Daniel S. McConnell
Vessela N. Kristensen
NBCS Investigators
Joseph H. Rothstein
Pei Wang
Laurel A. Habel
Weiva Sieh
Alison M. Dunning
Paul D. P. Pharoah
Douglas F. Easton
Gretchen L. Gierach
Rulla M. Tamimi
Celine M. Vachon
Sara Lindström
Source :
Breast Cancer Research, Vol 24, Iss 1, Pp 1-15 (2022)
Publication Year :
2022
Publisher :
BMC, 2022.

Abstract

Abstract Background Mammographic density (MD) phenotypes, including percent density (PMD), area of dense tissue (DA), and area of non-dense tissue (NDA), are associated with breast cancer risk. Twin studies suggest that MD phenotypes are highly heritable. However, only a small proportion of their variance is explained by identified genetic variants. Methods We conducted a genome-wide association study, as well as a transcriptome-wide association study (TWAS), of age- and BMI-adjusted DA, NDA, and PMD in up to 27,900 European-ancestry women from the MODE/BCAC consortia. Results We identified 28 genome-wide significant loci for MD phenotypes, including nine novel signals (5q11.2, 5q14.1, 5q31.1, 5q33.3, 5q35.1, 7p11.2, 8q24.13, 12p11.2, 16q12.2). Further, 45% of all known breast cancer SNPs were associated with at least one MD phenotype at p

Details

Language :
English
ISSN :
1465542X
Volume :
24
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Breast Cancer Research
Publication Type :
Academic Journal
Accession number :
edsdoj.67ae06c41f06447f9653e94c56f11e6b
Document Type :
article
Full Text :
https://doi.org/10.1186/s13058-022-01524-0