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GWAS Study

Refining breast cancer genetic risk and biology through multi-ancestry fine-mapping analyses of 192 risk regions.

Jia G, Chen Z, Ping J et al.

39753771 PubMed ID
GWAS Study Type
127435 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

JG
Jia G
CZ
Chen Z
PJ
Ping J
CQ
Cai Q
TR
Tao R
LC
Li C
BJ
Bauer JA
XY
Xie Y
AS
Ambs S
BM
Barnard ME
CY
Chen Y
CJ
Choi JY
GY
Gao YT
GM
Garcia-Closas M
GJ
Gu J
HJ
Hu JJ
IM
Iwasaki M
JE
John EM
KS
Kweon SS
LC
Li CI
MK
Matsuda K
MK
Matsuo K
NK
Nathanson KL
NB
Nemesure B
OO
Olopade OI
PT
Pal T
PS
Park SK
PB
Park B
PM
Press MF
SM
Sanderson M
SD
Sandler DP
SC
Shen CY
TM
Troester MA
YS
Yao S
ZY
Zheng Y
AT
Ahearn T
BA
Brewster AM
FA
Falusi A
HA
Hennis AJM
IH
Ito H
KM
Kubo M
LE
Lee ES
MT
Makumbi T
NP
Ndom P
ND
Noh DY
OK
O'Brien KM
OO
Ojengbede O
OA
Olshan AF
PM
Park MH
RS
Reid S
YT
Yamaji T
ZG
Zirpoli G
BE
Butler EN
HM
Huang M
LS
Low SK
OJ
Obafunwa J
WC
Weinberg CR
ZH
Zhang H
ZH
Zhao H
CM
Cote ML
AC
Ambrosone CB
HD
Huo D
LB
Li B
KD
Kang D
PJ
Palmer JR
SX
Shu XO
HC
Haiman CA
GX
Guo X
LJ
Long J
ZW
Zheng W
Chapter II

Abstract

Summary of the research findings

Genome-wide association studies have identified approximately 200 genetic risk loci for breast cancer, but the causal variants and target genes are mostly unknown. We sought to fine-map all known breast cancer risk loci using genome-wide association study data from 172,737 female breast cancer cases and 242,009 controls of African, Asian and European ancestry. We identified 332 independent association signals for breast cancer risk, including 131 signals not reported previously, and for 50 of them, we narrowed the credible causal variants down to a single variant. Analyses integrating functional genomics data identified 195 putative susceptibility genes, enriched in PI3K/AKT, TNF/NF-κB, p53 and Wnt/β-catenin pathways. Single-cell RNA sequencing or in vitro experiment data provided additional functional evidence for 105 genes. Our study uncovered large numbers of association signals and candidate susceptibility genes for breast cancer, uncovered breast cancer genetics and biology, and supported the value of including multi-ancestry data in fine-mapping analyses.

21,319 East Asian ancestry female cases, 106,116 East Asian ancestry female controls

Chapter III

Study Statistics

Key metrics and study information

127435
Total Participants
GWAS
Study Type
No
Replicated
East Asian, European, African unspecified
Ancestry
China, Japan, Taiwan, Republic of Korea, Puerto Rico, Cameroon, U.S., Barbados, Uganda, Ghana, Nigeria
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

Important Disclaimer: This review has been performed semi-automatically and is provided for informational purposes only. While we strive for accuracy, this analysis may contain errors, omissions, or misinterpretations of the original research. DNA Genics disclaims all liability for any inaccuracies, errors, or consequences arising from the use of this information. Users should independently verify all information and consult original research publications before making any decisions based on this content. This analysis is not intended as a substitute for professional scientific review or medical advice.

Analysis In Progress

Our analysis of this publication is currently being prepared. Please check back soon for comprehensive insights into the health and genetic findings discussed in this research.