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GWAS Study

Case-Case Genome-Wide Analyses Identify Subtype-Informative Variants that Confer Risk for Breast Cancer.

Sun X, Verma SP, Jia G et al.

38832928 PubMed ID
GWAS Study Type
73129 Participants
143 Views
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

SX
Sun X
VS
Verma SP
JG
Jia G
WX
Wang X
PJ
Ping J
GX
Guo X
SX
Shu XO
CJ
Chen J
DA
Derkach A
CQ
Cai Q
LX
Liang X
LJ
Long J
OK
Offit K
OJ
Oh JH
RA
Reiner AS
WG
Watt GP
WM
Woods M
YY
Yang Y
AC
Ambrosone CB
AS
Ambs S
CY
Chen Y
CP
Concannon P
GM
Garcia-Closas M
GJ
Gu J
HC
Haiman CA
HJ
Hu JJ
HD
Huo D
JE
John EM
KJ
Knight JA
LC
Li CI
LC
Lynch CF
ML
Mellemkjær L
NK
Nathanson KL
NB
Nemesure B
OO
Olopade OI
OA
Olshan AF
PT
Pal T
PJ
Palmer JR
PM
Press MF
SM
Sanderson M
SD
Sandler DP
TM
Troester MA
ZW
Zheng W
BJ
Bernstein JL
BM
Buas MF
SX
Shu X
Chapter II

Abstract

Summary of the research findings

Breast cancer includes several subtypes with distinct characteristic biological, pathologic, and clinical features. Elucidating subtype-specific genetic etiology could provide insights into the heterogeneity of breast cancer to facilitate the development of improved prevention and treatment approaches. In this study, we conducted pairwise case-case comparisons among five breast cancer subtypes by applying a case-case genome-wide association study (CC-GWAS) approach to summary statistics data of the Breast Cancer Association Consortium. The approach identified 13 statistically significant loci and eight suggestive loci, the majority of which were identified from comparisons between triple-negative breast cancer (TNBC) and luminal A breast cancer. Associations of lead variants in 12 loci remained statistically significant after accounting for previously reported breast cancer susceptibility variants, among which, two were genome-wide significant. Fine mapping implicated putative functional/causal variants and risk genes at several loci, e.g., 3q26.31/TNFSF10, 8q22.3/NACAP1/GRHL2, and 8q23.3/LINC00536/TRPS1, for TNBC as compared with luminal cancer. Functional investigation further identified rs16867605 at 8q22.3 as a SNP that modulates the enhancer activity of GRHL2. Subtype-informative polygenic risk scores (PRS) were derived, and patients with a high subtype-informative PRS had an up to two-fold increased risk of being diagnosed with TNBC instead of luminal cancers. The CC-GWAS PRS remained statistically significant after adjusting for TNBC PRS derived from traditional case-control GWAS in The Cancer Genome Atlas and the African Ancestry Breast Cancer Genetic Consortium. The CC-GWAS PRS was also associated with overall survival and disease-specific survival among patients with breast cancer. Overall, these findings have advanced our understanding of the genetic etiology of breast cancer subtypes, particularly for TNBC. Significance: The discovery of subtype-informative genetic risk variants for breast cancer advances our understanding of the etiologic heterogeneity of breast cancer, which could accelerate the identification of targets and personalized strategies for prevention and treatment.

12,414 European ancestry luminal B-like cases, 60,715 European ancestry luminal A-like cases

Chapter III

Study Statistics

Key metrics and study information

73129
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Chapter IV

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