Identification of a novel prostate cancer susceptibility variant in the KLK3 gene transcript
Kote-Jarai, Zsofia, Olama, Ali Amin Al, Leongamornlert, Daniel, Tymrakiewicz, Malgorzata, Saunders, E., Guy, Michelle, Giles, Graham, Severi, Gianluca, Southey, Melissa, Hopper, John, Sit, Kei Chun, Harris, Jonathan, Batra, Jyotsna, Spurdle, Amanda, Clements, Judith, Hamdy, Freddie, Neal, David, Donovan, Jenny, Muir, Ken, Pharoah, Paul, Chanock, Stephen, Brown, N., Benlloch, Sara, Castro, E., Mahmud, N., O'Brien, L., Hall, A., Sawyer, E., Wilkinson, R., Easton, Douglas, & Eeles, Rosalind (2011) Identification of a novel prostate cancer susceptibility variant in the KLK3 gene transcript. Human Genetics, 129(6), pp. 687-694.
Genome-wide association studies (GWAS) have identified more than 30 prostate cancer (PrCa) susceptibility loci. One of these (rs2735839) is located close to a plausible candidate susceptibility gene, KLK3, which encodes prostate-specific antigen (PSA). PSA is widely used as a biomarker for PrCa detection and disease monitoring. To refine the association between PrCa and variants in this region, we used genotyping data from a two-stage GWAS using samples from the UK and Australia, and the Cancer Genetic Markers of Susceptibility (CGEMS) study. Genotypes were imputed for 197 and 312 single nucleotide polymorphisms (SNPs) from HapMap2 and the 1000 Genome Project, respectively. The most significant association with PrCa was with a previously unidentified SNP, rs17632542 (combined P = 3.9 × 10−22). This association was confirmed by direct genotyping in three stages of the UK/Australian GWAS, involving 10,405 cases and 10,681 controls (combined P = 1.9 × 10−34). rs17632542 is also shown to be associated with PSA levels and it is a non-synonymous coding SNP (Ile179Thr) in KLK3. Using molecular dynamic simulation, we showed evidence that this variant has the potential to introduce alterations in the protein or affect RNA splicing. We propose that rs17632542 may directly influence PrCa risk.
Impact and interest:
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Journal Article|
|Subjects:||Australian and New Zealand Standard Research Classification > BIOLOGICAL SCIENCES (060000) > GENETICS (060400)|
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > COMPLEMENTARY AND ALTERNATIVE MEDICINE (110400)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > PAEDIATRICS AND REPRODUCTIVE MEDICINE (111400)
|Divisions:||Current > QUT Faculties and Divisions > Faculty of Health|
Current > Institutes > Institute of Health and Biomedical Innovation
|Deposited On:||19 Jul 2012 16:28|
|Last Modified:||03 Dec 2012 12:06|
Repository Staff Only: item control page