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GWAS Study

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

Chen H, Fan S, Stone J et al.

35414113 PubMed ID
GWAS Study Type
24579 Participants
57 Views
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

CH
Chen H
FS
Fan S
SJ
Stone J
TD
Thompson DJ
DJ
Douglas J
LS
Li S
SC
Scott C
BM
Bolla MK
WQ
Wang Q
DJ
Dennis J
MK
Michailidou K
LC
Li C
PU
Peters U
HJ
Hopper JL
SM
Southey MC
NT
Nguyen-Dumont T
NT
Nguyen TL
FP
Fasching PA
BA
Behrens A
CG
Cadby G
MR
Murphy RA
AK
Aronson K
HA
Howell A
AS
Astley S
CF
Couch F
OJ
Olson J
MR
Milne RL
GG
Giles GG
HC
Haiman CA
MG
Maskarinec G
WS
Winham S
JE
John EM
KA
Kurian A
EH
Eliassen H
AI
Andrulis I
ED
Evans DG
NW
Newman WG
HP
Hall P
CK
Czene K
SA
Swerdlow A
JM
Jones M
PM
Pollan M
FP
Fernandez-Navarro P
MD
McConnell DS
KV
Kristensen VN
RJ
Rothstein JH
WP
Wang P
HL
Habel LA
SW
Sieh W
DA
Dunning AM
PP
Pharoah PDP
ED
Easton DF
GG
Gierach GL
TR
Tamimi RM
VC
Vachon CM
LS
Lindström S
Chapter II

Abstract

Summary of the research findings

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.

24,579 European ancestry females

Chapter III

Study Statistics

Key metrics and study information

24579
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Canada, Sweden, U.S., Norway, Poland, U.K., Australia, Germany, Spain
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

Independent AI summary of health and genetic findings from the published study

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