TY - JOUR
T1 - The effects of height and BMI on prostate cancer incidence and mortality
T2 - a Mendelian randomization study in 20,848 cases and 20,214 controls from the PRACTICAL consortium
AU - PRACTICAL Consortium
AU - Davies, Neil M.
AU - Gaunt, Tom R.
AU - Lewis, Sarah J.
AU - Holly, Jeff
AU - Donovan, Jenny L.
AU - Hamdy, Freddie C.
AU - Kemp, John P.
AU - Eeles, Rosalind
AU - Easton, Doug
AU - Kote-Jarai, Zsofia
AU - Al Olama, Ali Amin
AU - Benlloch, Sara
AU - Muir, Kenneth
AU - Giles, Graham G.
AU - Wiklund, Fredrik
AU - Gronberg, Henrik
AU - Haiman, Christopher A.
AU - Schleutker, Johanna
AU - Nordestgaard, Børge G.
AU - Travis, Ruth C.
AU - Neal, David
AU - Pashayan, Nora
AU - Khaw, Kay Tee
AU - Stanford, Janet L.
AU - Blot, William J.
AU - Thibodeau, Stephen
AU - Maier, Christiane
AU - Kibel, Adam S.
AU - Cybulski, Cezary
AU - Cannon-Albright, Lisa
AU - Brenner, Hermann
AU - Park, Jong
AU - Kaneva, Radka
AU - Batra, Jyotsna
AU - Teixeira, Manuel R.
AU - Pandha, Hardev
AU - Lathrop, Mark
AU - Smith, George Davey
AU - Martin, Richard M.
AU - Cook,
AU - Morgan, Angela
AU - Lophatananon, Artitaya
AU - Cyril, Fisher
AU - Daniel, Leongamornlert
AU - Saunders, Edward J.
AU - Sawyer, Emma J.
AU - Koveela, Govindasami
AU - Tymrakiewicz, Malgorzata
AU - Guy, Michelle
AU - Schaid, Daniel J.
N1 - Funding Information:
The Collaborative Oncological Gene-environment Study (COGS), within which the PRACTICAL consortium was assembled, would not have been possible without the contributions of the following: Per Hall (COGS); Douglas F. Easton, Paul Pharoah, Kyriaki Michailidou, Manjeet K. Bolla, Qin Wang (BCAC), Andrew Berchuck (OCAC), Rosalind A. Eeles, Douglas F. Easton, Ali Amin Al Olama, Zsofia Kote-Jarai, Sara Benlloch (PRACTICAL), Georgia Chenevix-Trench, Antonis Antoniou, Lesley McGuffog, Fergus Couch and Ken Offit (CIMBA), Joe Dennis, Alison M. Dunning, Andrew Lee, and Ed Dicks, Craig Luccarini and the staff of the Centre for Genetic Epidemiology Laboratory, Javier Benitez, Anna Gonzalez-Neira and the staff of the CNIO genotyping unit, Jacques Simard and Daniel C. Tessier, Francois Bacot, Daniel Vincent, Sylvie LaBoissière and Frederic Robidoux and the staff of the McGill University and Génome Québec Innovation Centre, Stig E. Bojesen, Sune F. Nielsen, Borge G. Nordestgaard, and the staff of the Copenhagen DNA laboratory, and Julie M. Cunningham, Sharon A. Windebank, Christopher A. Hilker, Jeffrey Meyer and the staff of Mayo Clinic Genotyping Core Facility. Funding for the iCOGS infrastructure came from: the European Community’s Seventh Framework Programme under grant agreement no 223175 (HEALTH-F2-2009-223175) (COGS), Cancer Research UK (C1287/A10118, C1287/A 10710, C12292/A11174, C1281/A12014, C5047/A8384, C5047/A15007, C5047/A10692), the National Institutes of Health (CA128978) and Post-Cancer GWAS initiative (1U19 CA148537, 1U19 CA148065 and 1U19 CA148112—the GAME-ON initiative), the Department of Defence (W81XWH-10-1-0341), the Canadian Institutes of Health Research (CIHR) for the CIHR Team in Familial Risks of Breast Cancer, Komen Foundation for the Cure, the Breast Cancer Research Foundation, and the Ovarian Cancer Research Fund.
Funding Information:
Support for the analysis was provided by the World Cancer Research Fund (2011/419) and Cancer Research UK (C18281/A19169). The CRUK study and the PRACTICAL consortium were supported by the Canadian Institutes of Health Research; the European Commission’s Seventh Framework Programme Grant agreement number 223175 (HEALTH-F2-2009-223175); Cancer Research UK Grants C5047/A7357, C1287/A10118, C5047/A3354, C5047/A10692, C16913/A6135; and the National Institute of Health (NIH) Cancer Post-Cancer GWAS initiative Grant No. 1 U19 CA 148537-01 (the GAME-ON initiative). The ProtecT study is funded by the UK Health Technology Assessment (HTA) Programme of the NIH Research (HTA 96/20/99; ISRCTN20141297). The authors thank the provision of the additional epidemiological data by the NHS R&D Directorate supported Prodigal study and the ProMPT (Prostate Mechanisms of Progression and Treatment) collaboration which is supported by the National Cancer Research Institute (NCRI) formed by the Department of Health, the Medical Research Council and Cancer Research UK (G0500966/75466). RAE and ZKJ are supported by Cancer Research UK Grant C5047/A7357 and the NIHR Biomedical Research Centre at The Institute of Cancer Research and Royal Marsden NHS Foundation Trust. RMM was supported by the National Institute for Health Research Bristol Nutrition Biomedical Research Unit based at University Hospitals Bristol NHS Foundation Trust and the University of Bristol. FCH, DEN and JLD are NIHR Senior Investigators. The Integrative Epidemiology Unit is supported by the MRC and the University of Bristol (G0600705, MC_UU_12013/1,9). No funding body has influenced data collection, analysis, or its interpretations. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health. This publication is the work of the authors, who serve as the guarantors for the contents of this paper.
Publisher Copyright:
© 2015, The Author(s).
PY - 2015/11/1
Y1 - 2015/11/1
N2 - Background: Epidemiological studies suggest a potential role for obesity and determinants of adult stature in prostate cancer risk and mortality, but the relationships described in the literature are complex. To address uncertainty over the causal nature of previous observational findings, we investigated associations of height- and adiposity-related genetic variants with prostate cancer risk and mortality. Methods: We conducted a case–control study based on 20,848 prostate cancers and 20,214 controls of European ancestry from 22 studies in the PRACTICAL consortium. We constructed genetic risk scores that summed each man’s number of height and BMI increasing alleles across multiple single nucleotide polymorphisms robustly associated with each phenotype from published genome-wide association studies. Results: The genetic risk scores explained 6.31 and 1.46 % of the variability in height and BMI, respectively. There was only weak evidence that genetic variants previously associated with increased BMI were associated with a lower prostate cancer risk (odds ratio per standard deviation increase in BMI genetic score 0.98; 95 % CI 0.96, 1.00; p = 0.07). Genetic variants associated with increased height were not associated with prostate cancer incidence (OR 0.99; 95 % CI 0.97, 1.01; p = 0.23), but were associated with an increase (OR 1.13; 95 % CI 1.08, 1.20) in prostate cancer mortality among low-grade disease (p heterogeneity, low vs. high grade <0.001). Genetic variants associated with increased BMI were associated with an increase (OR 1.08; 95 % CI 1.03, 1.14) in all-cause mortality among men with low-grade disease (p heterogeneity = 0.03). Conclusions: We found little evidence of a substantial effect of genetically elevated height or BMI on prostate cancer risk, suggesting that previously reported observational associations may reflect common environmental determinants of height or BMI and prostate cancer risk. Genetically elevated height and BMI were associated with increased mortality (prostate cancer-specific and all-cause, respectively) in men with low-grade disease, a potentially informative but novel finding that requires replication.
AB - Background: Epidemiological studies suggest a potential role for obesity and determinants of adult stature in prostate cancer risk and mortality, but the relationships described in the literature are complex. To address uncertainty over the causal nature of previous observational findings, we investigated associations of height- and adiposity-related genetic variants with prostate cancer risk and mortality. Methods: We conducted a case–control study based on 20,848 prostate cancers and 20,214 controls of European ancestry from 22 studies in the PRACTICAL consortium. We constructed genetic risk scores that summed each man’s number of height and BMI increasing alleles across multiple single nucleotide polymorphisms robustly associated with each phenotype from published genome-wide association studies. Results: The genetic risk scores explained 6.31 and 1.46 % of the variability in height and BMI, respectively. There was only weak evidence that genetic variants previously associated with increased BMI were associated with a lower prostate cancer risk (odds ratio per standard deviation increase in BMI genetic score 0.98; 95 % CI 0.96, 1.00; p = 0.07). Genetic variants associated with increased height were not associated with prostate cancer incidence (OR 0.99; 95 % CI 0.97, 1.01; p = 0.23), but were associated with an increase (OR 1.13; 95 % CI 1.08, 1.20) in prostate cancer mortality among low-grade disease (p heterogeneity, low vs. high grade <0.001). Genetic variants associated with increased BMI were associated with an increase (OR 1.08; 95 % CI 1.03, 1.14) in all-cause mortality among men with low-grade disease (p heterogeneity = 0.03). Conclusions: We found little evidence of a substantial effect of genetically elevated height or BMI on prostate cancer risk, suggesting that previously reported observational associations may reflect common environmental determinants of height or BMI and prostate cancer risk. Genetically elevated height and BMI were associated with increased mortality (prostate cancer-specific and all-cause, respectively) in men with low-grade disease, a potentially informative but novel finding that requires replication.
KW - Body mass index
KW - Height
KW - Instrumental variables analysis
KW - Mendelian randomization
KW - Prostate cancer
KW - Single nucleotide polymorphisms
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U2 - 10.1007/s10552-015-0654-9
DO - 10.1007/s10552-015-0654-9
M3 - Article
C2 - 26387087
AN - SCOPUS:84943363498
SN - 0957-5243
VL - 26
SP - 1603
EP - 1616
JO - Cancer Causes and Control
JF - Cancer Causes and Control
IS - 11
ER -