4.6 Article

A Replication Study Examining Novel Common Single Nucleotide Polymorphisms Identified Through a Prostate Cancer Genome-wide Association Study in a Japanese Population

Journal

AMERICAN JOURNAL OF EPIDEMIOLOGY
Volume 174, Issue 12, Pages 1391-1395

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/aje/kwr271

Keywords

ethnic groups; genome-wide association study; linkage disequilibrium; polymorphism; single nucleotide; prostatic neoplasms

Funding

  1. Australian National Health and Medical Research Council (NHMRC) [390130, 290456, 614296]
  2. Prostate Cancer Foundation of Australia [PG7]
  3. NHMRC
  4. Institute of Health and Biomedical Innovation
  5. Cancer Council Queensland

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Five novel prostate cancer risk loci were identified in a recent genome-wide association study (GWAS) of Japanese persons (Takata et al., Nat Genet. 2010;42(9):751-754). Those authors proposed that apart from population-specific linkage disequilibrium patterns, limitations of GWAS single nucleotide polymorphism (SNP) prioritization and/or study design could explain the lack of identification of these loci in GWAS previously conducted among Caucasians. Thus, the authors undertook a replication study in 1,357 prostate cancer patients and 1,403 healthy Australian males of European descent (2004-2008). The rs12653946 SNP at 5p15 was found to be significantly associated with prostate cancer risk (odds ratio = 1.20, 95% confidence interval: 1.07, 1.34; P = 0.002). On the basis of linkage disequilibrium calculations, the rs12653946 SNP represents an independent locus, distinct from the previously identified TERT-CLPTM1L cancer nexus region. Further, analysis from AceView (Thierry-Mieg and Thierry-Mieg, Genome Biol. 2006;7(suppl 1):S12) indicated that rs12653946 falls within the intron of a testis-expressed gene strongly predicted to translate a conceptual 8.1-kilodalton protein named tojy.aApr07. The authors' findings suggest that follow-up of apparently ethnicity-specific risk associations are warranted in order to highlight risk-associated loci for experimental studies and for incorporation into future risk prediction models for prostate cancer.

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