A Genome-Wide "Pleiotropy Scan'' Does Not Identify New Susceptibility Loci for Estrogen Receptor Negative Breast Cancer
Author(s)
Type
Journal Article
Abstract
Approximately 15–30% of all breast cancer tumors are estrogen receptor negative (ER
2
). Compared with ER-positive (ER
+
)
disease they have an earlier age at onset and worse prognosis. Despite the vast number of risk variants identified for
numerous cancer types, only seven loci have been unambiguously identified for ER-negative breast cancer. With the aim of
identifying new susceptibility SNPs for this disease we performed a pleiotropic genome-wide association study (GWAS). We
selected 3079 SNPs associated with a human complex trait or disease at genome-wide significance level (P
,
5
6
10
2
8
)to
perform a secondary analysis of an ER-negative GWAS from the National Cancer Institute’s Breast and Prostate Cancer
Cohort Consortium (BPC3), including 1998 cases and 2305 controls from prospective studies. We then tested the top ten
associations (i.e. with the lowest P-values) using three additional populations with a total sample size of 3509 ER
+
cases,
2543 ER
2
cases and 7031 healthy controls. None of the 3079 selected variants in the BPC3 ER-GWAS were significant at the
adjusted threshold. 186 variants were associated with ER
2
breast cancer risk at a conventional threshold of P
,
0.05, with P-
values ranging from 0.049 to 2.3
6
10
2
4
. None of the variants reached statistical significance in the replication phase. In
conclusion, this study did not identify any novel susceptibility loci for ER-breast cancer using a ‘‘pleiotropic approach’’.
2
). Compared with ER-positive (ER
+
)
disease they have an earlier age at onset and worse prognosis. Despite the vast number of risk variants identified for
numerous cancer types, only seven loci have been unambiguously identified for ER-negative breast cancer. With the aim of
identifying new susceptibility SNPs for this disease we performed a pleiotropic genome-wide association study (GWAS). We
selected 3079 SNPs associated with a human complex trait or disease at genome-wide significance level (P
,
5
6
10
2
8
)to
perform a secondary analysis of an ER-negative GWAS from the National Cancer Institute’s Breast and Prostate Cancer
Cohort Consortium (BPC3), including 1998 cases and 2305 controls from prospective studies. We then tested the top ten
associations (i.e. with the lowest P-values) using three additional populations with a total sample size of 3509 ER
+
cases,
2543 ER
2
cases and 7031 healthy controls. None of the 3079 selected variants in the BPC3 ER-GWAS were significant at the
adjusted threshold. 186 variants were associated with ER
2
breast cancer risk at a conventional threshold of P
,
0.05, with P-
values ranging from 0.049 to 2.3
6
10
2
4
. None of the variants reached statistical significance in the replication phase. In
conclusion, this study did not identify any novel susceptibility loci for ER-breast cancer using a ‘‘pleiotropic approach’’.
Date Issued
2014-02-11
Date Acceptance
2013-12-04
Citation
PLOS ONE, 2014, 9 (2)
ISSN
1932-6203
Publisher
PUBLIC LIBRARY OF SCIENCE
Journal / Book Title
PLOS ONE
Volume
9
Issue
2
Copyright Statement
© 2014 Campa et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000331258100006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
COMPLEX DISEASES
ASSOCIATION
TRAITS
RISK
METAANALYSIS
Breast Neoplasms
Case-Control Studies
Databases, Factual
Estrogen Receptor alpha
Female
Genetic Predisposition to Disease
Genome-Wide Association Study
Genotype
Humans
Polymorphism, Single Nucleotide
Registries
Regression Analysis
MD Multidisciplinary
General Science & Technology
Publication Status
Published
Article Number
ARTN e85955