Replication of genome-wide discovered breast cancer risk loci in the Cypriot population

Breast Cancer Res Treat. 2011 Jul;128(1):267-72. doi: 10.1007/s10549-010-1319-8. Epub 2011 Jan 6.

Abstract

Genome-wide association studies (GWAS) have identified associations with robust statistical support for influencing breast cancer susceptibility. Most GWAS and replications have been conducted in Northern European populations and to a lesser extent in Asians, and Ashkenazi Jews. It is important to evaluate whether these variants confer risk across different populations and also to assess the magnitude of risk conferred. The aim of this study was to evaluate previously GWAS-identified breast cancer risk variants in the Cypriot population. Eleven GWAS-discovered single nucleotide polymorphisms (SNPs) were analyzed for association with breast cancer in 1,109 Cypriot female breast cancer patients and 1,177 healthy female controls. Four of the 11 SNPs evaluated were found to be nominally significantly associated (P < 0.05) with breast cancer risk in the Cypriot population. Based on estimated power, five associations would be expected to be nominally significant. The correlation coefficient of effect sizes (per-allele odds ratio) between the Cypriot population and the original GWAS populations where these SNPs had been discovered was 0.58 (P = 0.064), while allele frequencies were very similar (r = 0.88, P < 0.001). Overall, we show modest concordance for breast cancer GWAS-discovered alleles and their effect sizes in the Cypriot population. The effects sizes of GWAS-discovered SNPs need to be verified separately in different populations.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Breast Neoplasms / epidemiology
  • Breast Neoplasms / genetics*
  • Case-Control Studies
  • Cyprus / epidemiology
  • Female
  • Gene Frequency
  • Genetic Loci*
  • Genome-Wide Association Study*
  • Genotype
  • Humans
  • Middle Aged
  • Odds Ratio
  • Polymorphism, Single Nucleotide*
  • Risk Factors