Please use this identifier to cite or link to this item:
Title: Genetic predisposition to metabolically unfavourable adiposity and prostate cancer risk: A Mendelian randomization analysis
Authors: Smith-Byrne, K
Hazelwood, E
Watling, CZ
Martin, S
Frayling, T
Lewis, S
Martin, RM
Yaghootkar, H
Travis, RC
Key, TJ
Keywords: adiposity;advanced disease;Mendelian randomization;prostate cancer
Issue Date: 12-Jun-2023
Publisher: Wiley
Citation: Perez-Cornago, A. et al. (2023) 'Genetic predisposition to metabolically unfavourable adiposity and prostate cancer risk: A Mendelian randomization analysis', Cancer Medicine, 12 (15), pp. 16482 - 16489. doi: 10.1002/cam4.6220.
Abstract: Copyright © 2023 The Authors. Background; The associations of adiposity with aggressive prostate cancer risk are unclear. Using two-sample Mendelian randomization, we assessed the association of metabolically unfavourable adiposity (UFA), favourable adiposity (FA) and for comparison body mass index (BMI), with prostate cancer, including aggressive prostate cancer. Methods: We examined the association of these genetically predicted adiposity-related traits with risk of prostate cancer overall, aggressive and early onset disease using outcome summary statistics from the PRACTICAL consortium (including 15,167 aggressive cases). Results: In inverse-variance weighted models, there was little evidence that genetically predicted one standard deviation higher UFA, FA and BMI were associated with aggressive prostate cancer [OR: 0.85 (95% CI:0.61–1.19), 0.80 (0.53–1.23) and 0.97 (0.88–1.08), respectively]; these associations were largely consistent in sensitivity analyses accounting for horizontal pleiotropy. There was no strong evidence that genetically determined UFA, FA or BMI were associated with overall prostate cancer or early age of onset prostate cancer. Conclusions: We did not find differences in the associations of UFA and FA with prostate cancer risk, which suggest that adiposity is unlikely to influence prostate cancer via the metabolic factors assessed; however, these did not cover some aspects related to metabolic health that may link obesity with aggressive prostate cancer, which should be explored in future studies.
Description: Data availability statement: The data used in this analysis were obtained from the PRACTICAL Consortium, dbGAP (application Project # 31553), and GIANT and UK Biobank. These data are available to researchers upon application to each respective resource.
Supporting Information is available online at .
Other Identifiers: ORCID iDs: Aurora Perez-Cornago; Hanieh Yaghootkar
Appears in Collections:Dept of Life Sciences Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License (, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.234.63 kBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons