Data from Refining the Prostate Cancer Genetic Association within the JAZF1 Gene on Chromosome 7p15.2
Year: 2023
Type: other
Abstract: Background: Genome-wide association studies have identified multiple genetic variants associated with susceptibility to prostate cancer (PrCa). In the two-stage Cancer Genetic Markers of Susceptibility prostate cancer scan, a single-nucleotide polymorphism (SNP), rs10486567, located within intron 2 of JAZF1 gene on chromosome 7p15.2, showed a promising association with PrCa overall (P = 2.14 × 10−6), with a suggestion of stronger association with aggressive disease (P = 1.2 × 10−7). Methods: In the third stage of genome-wide association studies, we genotyped 106 JAZF1 SNPs in 10,286 PrCa cases and 9,135 controls of European ancestry. Results: The strongest association was observed with the initial marker rs10486567, which now achieves genome-wide significance [P = 7.79 × 10−11; ORHET, 1.19 (95% confidence interval, 1.12-1.27); ORHOM, 1.37 (95% confidence interval, 1.20-1.56)]. We did not confirm a previous suggestion of a stronger association of rs10486567 with aggressive disease (P = 1.60 × 10−4 for aggressive cancer, n = 4,597; P = 3.25 × 10−8 for nonaggressive cancer, n = 4,514). Based on a multilocus model with adjustment for rs10486567, no additional independent signals were observed at chromosome 7p15.2. There was no association between PrCa risk and SNPs in JAZF1 previously associated with height (rs849140; P = 0.587), body stature (rs849141, tagged by rs849136; P = 0.171), and risk of type 2 diabetes and systemic lupus erythematosus (rs864745, tagged by rs849142; P = 0.657). Conclusion: rs10486567 remains the most significant marker for PrCa risk within JAZF1 in individuals of European ancestry. Impact: Future studies should identify all variants in high linkage disequilibrium with rs10486567 and evaluate their functional significance for PrCa. Cancer Epidemiol Biomarkers Prev; 19(5); 1349–55. ©2010 AACR.
Authors: Ludmila Prokunina-Olsson, Yi-Ping Fu, Wei Tang, Kevin B. Jacobs, Richard B. Hayes, Peter Kraft, Sonja I. Berndt, Sholom Wacholder, Kai Yu, Amy Hutchinson, Heather Spencer Feigelson, Michael J. Thun, W. Ryan Diver, Demetrius Albanes, Jarmo Virtamo, Stephanie Weinstein, Fredrick R. Schumacher, Geraldine Cancel-Tassin, Olivier Cussenot, Antoine Valeri, Gerald L. Andriole, E. David Crawford, Christopher A. Haiman, Brian E. Henderson, Laurence Kolonel, Loic Le Marchand, Afshan Siddiq, Elio Riboli, Ruth Travis, Rudolf Kaaks, William B. Isaacs, Sarah D. Isaacs, Henrik Grönberg, Fredrik Wiklund, Jianfeng Xu, Lars J. Vatten, Kristian Hveem, Merethe Kumle, Margaret Tucker, Robert N. Hoover, Joseph F. Fraumeni, David J. Hunter, Gilles Thomas, Nilanjan Chatterjee, Stephen J. Chanock, Meredith Yeager
Institutions: National Institutes of Health, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Frederick National Laboratory for Cancer Research, Science Applications International Corporation (United States), NYU Langone Health, New York University, American Cancer Society, Finnish Institute for Health and Welfare, Harvard University, Assistance Publique – Hôpitaux de Paris, Hôpital Tenon, Washington University in St. Louis, University of Colorado Denver, University of Hawaiʻi at Mānoa, University of Hawaii System, Imperial College London, University of Oxford, German Cancer Research Center, Johns Hopkins University, Johns Hopkins Medicine, Karolinska Institutet, Wake Forest University Health Sciences, Wake Forest University, Norwegian University of Science and Technology, UiT The Arctic University of Norway, Brigham and Women's Hospital
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: gold
OpenAlex ID: W4361822006