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Potential novel candidate polymorphisms identified in genome-wide association study for breast cancer susceptibility
Authors:Badan Sehrawat  Malinee Sridharan  Sunita Ghosh  Paula Robson  Carol E. Cass  John R. Mackey  Russell Greiner  Sambasivarao Damaraju
Affiliation:(1) Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada;(2) Department of Experimental Oncology, Cross Cancer Institute, Edmonton, AB, Canada;(3) Department of Population Health, University of Alberta, Edmonton, AB, Canada;(4) PolyomX Program, Alberta Health Services, Cross Cancer Institute, Edmonton, AB, Canada;(5) Department of Computing Sciences, University of Alberta, Edmonton, AB, Canada;
Abstract:Previous genome-wide association studies (GWAS) have shown several risk alleles to be associated with breast cancer. However, the variants identified so far contribute to only a small proportion of disease risk. The objective of our GWAS was to identify additional novel breast cancer susceptibility variants and to replicate these findings in an independent cohort. We performed a two-stage association study in a cohort of 3,064 women from Alberta, Canada. In Stage I, we interrogated 906,600 single nucleotide polymorphisms (SNPs) on Affymetrix SNP 6.0 arrays using 348 breast cancer cases and 348 controls. We used single-locus association tests to determine statistical significance for the observed differences in allele frequencies between cases and controls. In Stage II, we attempted to replicate 35 significant markers identified in Stage I in an independent study of 1,153 cases and 1,215 controls. Genotyping of Stage II samples was done using Sequenom Mass-ARRAY iPlex platform. Six loci from four different gene regions (chromosomes 4, 5, 16 and 19) showed statistically significant differences between cases and controls in both Stage I and Stage II testing, and also in joint analysis. The identified variants were from EDNRA, ROPN1L, C16orf61 and ZNF577 gene regions. The presented joint analyses from the two-stage study design were not significant after genome-wide correction. The SNPs identified in this study may serve as potential candidate loci for breast cancer risk in a further replication study in Stage III from Alberta population or independent validation in Caucasian cohorts elsewhere.
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