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Identification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk.

Authors :
Sieh W
Rothstein JH
Klein RJ
Alexeeff SE
Sakoda LC
Jorgenson E
McBride RB
Graff RE
McGuire V
Achacoso N
Acton L
Liang RY
Lipson JA
Rubin DL
Yaffe MJ
Easton DF
Schaefer C
Risch N
Whittemore AS
Habel LA
Source :
Nature communications [Nat Commun] 2020 Oct 09; Vol. 11 (1), pp. 5116. Date of Electronic Publication: 2020 Oct 09.
Publication Year :
2020

Abstract

Mammographic density (MD) phenotypes are strongly associated with breast cancer risk and highly heritable. In this GWAS meta-analysis of 24,192 women, we identify 31 MD loci at P < 5 × 10 <superscript>-8</superscript> , tripling the number known to 46. Seventeen identified MD loci also are associated with breast cancer risk in an independent meta-analysis (P < 0.05). Mendelian randomization analyses show that genetic estimates of dense area (DA), nondense area (NDA), and percent density (PD) are all significantly associated with breast cancer risk (P < 0.05). Pathway analyses reveal distinct biological processes involving DA, NDA and PD loci. These findings provide additional insights into the genetic basis of MD phenotypes and their associations with breast cancer risk.

Details

Language :
English
ISSN :
2041-1723
Volume :
11
Issue :
1
Database :
MEDLINE
Journal :
Nature communications
Publication Type :
Academic Journal
Accession number :
33037222
Full Text :
https://doi.org/10.1038/s41467-020-18883-x