Genome-wide association study of prostate cancer mortality

Kathryn L. Penney, Saumyadipta Pyne, Fredrick R. Schumacher, Jennifer A. Sinnott, Lorelei A. Mucci, Peter L. Kraft, Jing Ma, William K. Oh, Tobias Kurth, Philip W. Kantoff, Edward L. Giovannucci, Meir J. Stampfer, David J. Hunter, Matthew L. Freedman

Research output: Contribution to journalArticlepeer-review

45 Scopus citations


Background: A pressing clinical issue in prostate cancer is to distinguish which men will have an indolent or aggressive course of disease. Clinical variables such as Gleason grade and stage are useful predictors of lethal cancer; however, the low predictive values of the common Gleason scores, changes in grading over time, and earlier diagnosis of patients due to screening limits their clinical utility. Identifying genetic variants associated with lethal prostate cancer could inform clinical decision making. Methods: We conducted a genome-wide association study, comparing lethal prostate cancer cases to cases surviving at least 10 years beyond their initial diagnosis. Genotyping was done with the Affymetrix 5.0 chip [∼500,000 single nucleotide polymorphisms (SNP) and 1,483 copy number variants (CNV)] on DNA from participants in the Physicians' Health Study and Health Professionals Follow-up Study (196 lethal cases, 368 long-term survivors). After excluding SNPs and individuals based on quality control criteria, logistic regression assuming an additive model was done using the PLINK software. Results: No SNP reached genome-wide significance (P ≤ 1 × 10-7); however, three independent SNPs had P < 1 × 10-5. One top-ranked SNP replicated (P = 0.05) in an independent follow-up study. Although no CNV had genome-wide significance, 14 CNVs showed nominal association with prostate cancer mortality (P < 0.05). Conclusions: No variants were significantly associated at a genome-wide level with prostate cancer mortality. Common genetic determinants of lethal prostate cancer are likely to have odds ratios <2.0. Impact: Genetic markers identified could provide biological insight to improve therapy for men with potentially fatal cancer. Larger studies are necessary to detect the genetic causes of prostate cancer mortality.

Original languageEnglish
Pages (from-to)2869-2876
Number of pages8
JournalCancer Epidemiology Biomarkers and Prevention
Issue number11
StatePublished - Nov 2010


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