{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T16:17:46Z","timestamp":1790957866528,"version":"4.1.0"},"reference-count":39,"publisher":"Wiley","issue":"23","license":[{"start":{"date-parts":[[2020,10,7]],"date-time":"2020-10-07T00:00:00Z","timestamp":1602028800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Medicine"],"published-print":{"date-parts":[[2020,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>The association between depression and prostate carcinogenesis has been reported in observational studies but the causality from depression on prostate cancer (PCa) remained unknown. We aimed to assess the causal effect of depression on PCa using the two\u2010sample Mendelian randomization (MR) method.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Two sets of genetics instruments were used for analysis, derived from publicly available genetic summary data. One was 44 single\u2010nucleotide polymorphisms (SNPs) robustly associated with major depressive disorder (MDD) and the other was two SNPs related with depressive status as ever depressed for a whole week. Inverse\u2010variance weighted method, weighted median method, MR\u2010Egger regression, MR Pleiotropy RESidual Sum, and Outlier test were used for MR analyses.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>No evidence for an effect of MDD on PCa risk was found in inverse\u2010variance weighted (OR: 1.12, 95% CI: 0.97\u20101.30, <jats:italic>p<\/jats:italic>\u00a0=\u00a00.135), MR\u2010Egger (OR 0.89, 95% CI: 0.29\u20102.68, <jats:italic>p<\/jats:italic>\u00a0=\u00a00.833), and weighted median (OR: 1.08, 95% CI: 0.92\u20101.27, <jats:italic>p<\/jats:italic>\u00a0=\u00a00.350). Also, no strong evidence for an effect of depressive status on PCa incidence was found using the inverse\u2010variance weighted method (OR 0.72, 95% CI: 0.35\u20101.47, <jats:italic>p<\/jats:italic>\u00a0=\u00a00.364).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The large MR analysis indicated that depression may not be causally associated with a risk of PCa.<\/jats:p><\/jats:sec>","DOI":"10.1002\/cam4.3493","type":"journal-article","created":{"date-parts":[[2020,10,7]],"date-time":"2020-10-07T20:11:48Z","timestamp":1602101508000},"page":"9160-9167","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":232,"title":["Depression and prostate cancer risk: A Mendelian randomization study"],"prefix":"10.1002","volume":"9","author":[{"given":"Xiong","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Urology Sun Yat\u2010sen Memorial Hospital Sun Yat\u2010sen University Guangzhou P. R. 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