Skip to main content
Top
Published in: Cancer Causes & Control 11/2015

Open Access 01-11-2015 | Original paper

The effects of height and BMI on prostate cancer incidence and mortality: a Mendelian randomization study in 20,848 cases and 20,214 controls from the PRACTICAL consortium

Authors: Neil M. Davies, Tom R. Gaunt, Sarah J. Lewis, Jeff Holly, Jenny L. Donovan, Freddie C. Hamdy, John P. Kemp, Rosalind Eeles, Doug Easton, Zsofia Kote-Jarai, Ali Amin Al Olama, Sara Benlloch, Kenneth Muir, Graham G. Giles, Fredrik Wiklund, Henrik Gronberg, Christopher A. Haiman, Johanna Schleutker, Børge G. Nordestgaard, Ruth C. Travis, David Neal, Nora Pashayan, Kay-Tee Khaw, Janet L. Stanford, William J. Blot, Stephen Thibodeau, Christiane Maier, Adam S. Kibel, Cezary Cybulski, Lisa Cannon-Albright, Hermann Brenner, Jong Park, Radka Kaneva, Jyotsna Batra, Manuel R. Teixeira, Hardev Pandha, Mark Lathrop, George Davey Smith, Richard M. Martin, PRACTICAL consortium

Published in: Cancer Causes & Control | Issue 11/2015

Login to get access

Abstract

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.
Appendix
Available only for authorised users
Literature
1.
go back to reference Grönberg H (2003) Prostate cancer epidemiology. Lancet Lond Engl 361:859–864CrossRef Grönberg H (2003) Prostate cancer epidemiology. Lancet Lond Engl 361:859–864CrossRef
2.
go back to reference Discacciati A, Orsini N, Wolk A (2012) Body mass index and incidence of localized and advanced prostate cancer: a dose–response meta-analysis of prospective studies. Ann Oncol 23:1665–1671CrossRefPubMed Discacciati A, Orsini N, Wolk A (2012) Body mass index and incidence of localized and advanced prostate cancer: a dose–response meta-analysis of prospective studies. Ann Oncol 23:1665–1671CrossRefPubMed
3.
go back to reference Cao Y, Ma J (2011) Body mass index, prostate cancer-specific mortality, and biochemical recurrence: a systematic review and meta-analysis. Cancer Prev Res 4:486–501CrossRef Cao Y, Ma J (2011) Body mass index, prostate cancer-specific mortality, and biochemical recurrence: a systematic review and meta-analysis. Cancer Prev Res 4:486–501CrossRef
4.
go back to reference Discacciati A et al (2011) Body mass index in early and middle-late adulthood and risk of localised, advanced and fatal prostate cancer: a population-based prospective study. Br J Cancer 105:1061–1068PubMedCentralCrossRefPubMed Discacciati A et al (2011) Body mass index in early and middle-late adulthood and risk of localised, advanced and fatal prostate cancer: a population-based prospective study. Br J Cancer 105:1061–1068PubMedCentralCrossRefPubMed
5.
go back to reference MacInnis RJ, English DR (2006) Body size and composition and prostate cancer risk: systematic review and meta-regression analysis. Cancer Causes Control CCC 17:989–1003CrossRefPubMed MacInnis RJ, English DR (2006) Body size and composition and prostate cancer risk: systematic review and meta-regression analysis. Cancer Causes Control CCC 17:989–1003CrossRefPubMed
6.
go back to reference Zuccolo L et al (2008) Height and prostate cancer risk: a large nested case-control study (ProtecT) and meta-analysis. Cancer Epidemiol Biomark Prev 17:2325–2336CrossRef Zuccolo L et al (2008) Height and prostate cancer risk: a large nested case-control study (ProtecT) and meta-analysis. Cancer Epidemiol Biomark Prev 17:2325–2336CrossRef
7.
go back to reference Littman AJ, White E, Kristal AR (2007) Anthropometrics and prostate cancer risk. Am J Epidemiol 165:1271–1279CrossRefPubMed Littman AJ, White E, Kristal AR (2007) Anthropometrics and prostate cancer risk. Am J Epidemiol 165:1271–1279CrossRefPubMed
8.
go back to reference Freedland SJ, Platz EA (2007) Obesity and prostate cancer: making sense out of apparently conflicting data. Epidemiol Rev 29:88–97CrossRefPubMed Freedland SJ, Platz EA (2007) Obesity and prostate cancer: making sense out of apparently conflicting data. Epidemiol Rev 29:88–97CrossRefPubMed
9.
go back to reference Buschemeyer WC, Freedland SJ (2007) Obesity and prostate cancer: epidemiology and clinical implications. Eur Urol 52:331–343CrossRefPubMed Buschemeyer WC, Freedland SJ (2007) Obesity and prostate cancer: epidemiology and clinical implications. Eur Urol 52:331–343CrossRefPubMed
10.
go back to reference Gong Z et al (2006) Obesity, diabetes, and risk of prostate cancer: results from the prostate cancer prevention trial. Cancer Epidemiol Biomark Prev 15:1977–1983CrossRef Gong Z et al (2006) Obesity, diabetes, and risk of prostate cancer: results from the prostate cancer prevention trial. Cancer Epidemiol Biomark Prev 15:1977–1983CrossRef
11.
go back to reference Collaboration Emerging Risk Factors (2012) Adult height and the risk of cause-specific death and vascular morbidity in 1 million people: individual participant meta-analysis. Int J Epidemiol 41:1419–1433CrossRef Collaboration Emerging Risk Factors (2012) Adult height and the risk of cause-specific death and vascular morbidity in 1 million people: individual participant meta-analysis. Int J Epidemiol 41:1419–1433CrossRef
13.
go back to reference Rowlands M-A et al (2012) Circulating insulin-like growth factors and IGF-binding proteins in PSA-detected prostate cancer: the large case–control study ProtecT. Cancer Res 72:503–515PubMedCentralCrossRefPubMed Rowlands M-A et al (2012) Circulating insulin-like growth factors and IGF-binding proteins in PSA-detected prostate cancer: the large case–control study ProtecT. Cancer Res 72:503–515PubMedCentralCrossRefPubMed
14.
go back to reference Rowlands M-A et al (2010) The relation between adiposity throughout the life course and variation in IGFs and IGFBPs: evidence from the ProtecT (Prostate testing for cancer and Treatment) study. Cancer Causes Control CCC 21:1829–1842CrossRefPubMed Rowlands M-A et al (2010) The relation between adiposity throughout the life course and variation in IGFs and IGFBPs: evidence from the ProtecT (Prostate testing for cancer and Treatment) study. Cancer Causes Control CCC 21:1829–1842CrossRefPubMed
16.
go back to reference Gunnell DJ, Smith GD, Frankel SJ, Kemp M, Peters TJ (1998) Socio-economic and dietary influences on leg length and trunk length in childhood: a reanalysis of the Carnegie (Boyd Orr) survey of diet and health in prewar Britain (1937–39). Paediatr Perinat Epidemiol 12(Suppl 1):96–113CrossRefPubMed Gunnell DJ, Smith GD, Frankel SJ, Kemp M, Peters TJ (1998) Socio-economic and dietary influences on leg length and trunk length in childhood: a reanalysis of the Carnegie (Boyd Orr) survey of diet and health in prewar Britain (1937–39). Paediatr Perinat Epidemiol 12(Suppl 1):96–113CrossRefPubMed
17.
go back to reference Gunnell D et al (2001) Height, leg length, and cancer risk: a systematic review. Epidemiol Rev 23:313–342CrossRefPubMed Gunnell D et al (2001) Height, leg length, and cancer risk: a systematic review. Epidemiol Rev 23:313–342CrossRefPubMed
18.
go back to reference Gunnell D (2002) Can adult anthropometry be used as a “biomarker” for prenatal and childhood exposures? Int J Epidemiol 31:390–394CrossRefPubMed Gunnell D (2002) Can adult anthropometry be used as a “biomarker” for prenatal and childhood exposures? Int J Epidemiol 31:390–394CrossRefPubMed
19.
go back to reference Davey Smith G, Ebrahim S (2003) Mendelian randomization: can genetic epidemiology contribute to understanding environmental determinants of disease? Int J Epidemiol 32:1–22CrossRef Davey Smith G, Ebrahim S (2003) Mendelian randomization: can genetic epidemiology contribute to understanding environmental determinants of disease? Int J Epidemiol 32:1–22CrossRef
20.
21.
23.
24.
25.
go back to reference Kote-Jarai Z et al (2008) Multiple novel prostate cancer predisposition loci confirmed by an international study: the PRACTICAL Consortium. Cancer Epidemiol Biomark Prev 17:2052–2061CrossRef Kote-Jarai Z et al (2008) Multiple novel prostate cancer predisposition loci confirmed by an international study: the PRACTICAL Consortium. Cancer Epidemiol Biomark Prev 17:2052–2061CrossRef
26.
go back to reference Eeles RA et al (2013) Identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array. Nat Genet 45:385–391CrossRefPubMed Eeles RA et al (2013) Identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array. Nat Genet 45:385–391CrossRefPubMed
27.
go back to reference Howie BN, Donnelly P, Marchini J (2009) A flexible and accurate genotype imputation method for the next generation of genome-wide association studies. PLoS Genet 5:e1000529PubMedCentralCrossRefPubMed Howie BN, Donnelly P, Marchini J (2009) A flexible and accurate genotype imputation method for the next generation of genome-wide association studies. PLoS Genet 5:e1000529PubMedCentralCrossRefPubMed
28.
go back to reference Lane JA et al (2010) Latest results from the UK trials evaluating prostate cancer screening and treatment: the CAP and ProtecT studies. Eur J Cancer 46:3095–3101CrossRefPubMed Lane JA et al (2010) Latest results from the UK trials evaluating prostate cancer screening and treatment: the CAP and ProtecT studies. Eur J Cancer 46:3095–3101CrossRefPubMed
29.
go back to reference Burgess S (2014) Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcome. Int J Epidemiol 43:922–929PubMedCentralCrossRefPubMed Burgess S (2014) Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcome. Int J Epidemiol 43:922–929PubMedCentralCrossRefPubMed
30.
go back to reference Collin SM et al (2008) Associations of lower urinary tract symptoms with prostate-specific antigen levels, and screen-detected localized and advanced prostate cancer: a case–control study nested within the UK population-based ProtecT (Prostate testing for cancer and Treatment) study. BJU Int 102:1400–1406PubMed Collin SM et al (2008) Associations of lower urinary tract symptoms with prostate-specific antigen levels, and screen-detected localized and advanced prostate cancer: a case–control study nested within the UK population-based ProtecT (Prostate testing for cancer and Treatment) study. BJU Int 102:1400–1406PubMed
31.
go back to reference Didelez V, Sheehan N (2007) Mendelian randomization as an instrumental variable approach to causal inference. Stat Methods Med Res 16:309–330CrossRefPubMed Didelez V, Sheehan N (2007) Mendelian randomization as an instrumental variable approach to causal inference. Stat Methods Med Res 16:309–330CrossRefPubMed
32.
33.
go back to reference Altman DG, Bland JM (2003) Statistics Notes: interaction revisited: the difference between two estimates. Br Med J 326:219CrossRef Altman DG, Bland JM (2003) Statistics Notes: interaction revisited: the difference between two estimates. Br Med J 326:219CrossRef
35.
go back to reference Davey Smith G (2011) Use of genetic markers and gene–diet interactions for interrogating population-level causal influences of diet on health. Genes Nutr 6:27–43PubMedCentralCrossRefPubMed Davey Smith G (2011) Use of genetic markers and gene–diet interactions for interrogating population-level causal influences of diet on health. Genes Nutr 6:27–43PubMedCentralCrossRefPubMed
36.
go back to reference Edwards TL, Giri A, Motley S, Duong W, Fowke JH (2013) Pleiotropy between genetic markers of obesity and risk of prostate cancer. Cancer Epidemiol Biomark Prev 22:1538–1546CrossRef Edwards TL, Giri A, Motley S, Duong W, Fowke JH (2013) Pleiotropy between genetic markers of obesity and risk of prostate cancer. Cancer Epidemiol Biomark Prev 22:1538–1546CrossRef
37.
38.
go back to reference Giovannucci E, Rimm EB, Stampfer MJ, Colditz GA, Willett WC (1997) Height, body weight, and risk of prostate cancer. Cancer Epidemiol Biomark Prev 6:557–563 Giovannucci E, Rimm EB, Stampfer MJ, Colditz GA, Willett WC (1997) Height, body weight, and risk of prostate cancer. Cancer Epidemiol Biomark Prev 6:557–563
39.
go back to reference Gunnell D et al (2004) Do height-related variations in insulin-like growth factors underlie the associations of stature with adult chronic disease? J Clin Endocrinol Metab 89:213–218CrossRefPubMed Gunnell D et al (2004) Do height-related variations in insulin-like growth factors underlie the associations of stature with adult chronic disease? J Clin Endocrinol Metab 89:213–218CrossRefPubMed
40.
go back to reference Calle EE, Rodriguez C, Walker-Thurmond K, Thun MJ (2003) Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults. N Engl J Med 348:1625–1638CrossRefPubMed Calle EE, Rodriguez C, Walker-Thurmond K, Thun MJ (2003) Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults. N Engl J Med 348:1625–1638CrossRefPubMed
41.
go back to reference Rodriguez C et al (2001) Body mass index, height, and prostate cancer mortality in two large cohorts of adult men in the United States. Cancer Epidemiol Biomark Prev 10:345–353 Rodriguez C et al (2001) Body mass index, height, and prostate cancer mortality in two large cohorts of adult men in the United States. Cancer Epidemiol Biomark Prev 10:345–353
42.
go back to reference Freeman VL, Liao Y, Durazo-Arvizu R, Cooper RS (2001) Height and risk of fatal prostate cancer: findings from the National Health Interview Survey (1986 to 1994). Ann Epidemiol 11:22–27CrossRefPubMed Freeman VL, Liao Y, Durazo-Arvizu R, Cooper RS (2001) Height and risk of fatal prostate cancer: findings from the National Health Interview Survey (1986 to 1994). Ann Epidemiol 11:22–27CrossRefPubMed
43.
go back to reference Chen H, Miller BA, Giovannucci E, Hayes RB (2003) Height and the survival of prostate cancer patients. Cancer Epidemiol Biomark Prev 12:215–218 Chen H, Miller BA, Giovannucci E, Hayes RB (2003) Height and the survival of prostate cancer patients. Cancer Epidemiol Biomark Prev 12:215–218
44.
go back to reference Rowlands M-A et al (2012) Serum insulin-like growth factors and mortality in localised and advanced clinically detected prostate cancer. Cancer Causes Control CCC 23:347–354CrossRefPubMed Rowlands M-A et al (2012) Serum insulin-like growth factors and mortality in localised and advanced clinically detected prostate cancer. Cancer Causes Control CCC 23:347–354CrossRefPubMed
45.
go back to reference Würtz P et al (2013) Lipoprotein subclass profiling reveals pleiotropy in the genetic variants of lipid risk factors for coronary heart disease: a note on Mendelian randomization studies. J Am Coll Cardiol 62:1906–1908CrossRefPubMed Würtz P et al (2013) Lipoprotein subclass profiling reveals pleiotropy in the genetic variants of lipid risk factors for coronary heart disease: a note on Mendelian randomization studies. J Am Coll Cardiol 62:1906–1908CrossRefPubMed
46.
go back to reference Nelson CP et al (2015) Genetically determined height and coronary artery disease. N Engl J Med 372:1608–1618CrossRefPubMed Nelson CP et al (2015) Genetically determined height and coronary artery disease. N Engl J Med 372:1608–1618CrossRefPubMed
47.
go back to reference von Hinke Kessler Scholder S, Davey Smith G, Lawlor DA, Propper C, Windmeijer F (2012) The effect of fat mass on educational attainment: examining the sensitivity to different identification strategies. Econ Hum Biol 10:405–418PubMedCentralCrossRefPubMed von Hinke Kessler Scholder S, Davey Smith G, Lawlor DA, Propper C, Windmeijer F (2012) The effect of fat mass on educational attainment: examining the sensitivity to different identification strategies. Econ Hum Biol 10:405–418PubMedCentralCrossRefPubMed
48.
go back to reference von Hinke Kessler Scholder S, Davey Smith G, Lawlor DA, Propper C, Windmeijer F (2013) Child height, health and human capital: evidence using genetic markers. Eur Econ Rev 57:1–22CrossRef von Hinke Kessler Scholder S, Davey Smith G, Lawlor DA, Propper C, Windmeijer F (2013) Child height, health and human capital: evidence using genetic markers. Eur Econ Rev 57:1–22CrossRef
49.
go back to reference Nordestgaard BG et al (2012) The effect of elevated body mass index on ischemic heart disease risk: causal estimates from a Mendelian randomisation approach. PLoS Med 9:e1001212PubMedCentralCrossRefPubMed Nordestgaard BG et al (2012) The effect of elevated body mass index on ischemic heart disease risk: causal estimates from a Mendelian randomisation approach. PLoS Med 9:e1001212PubMedCentralCrossRefPubMed
50.
go back to reference Fowke JH, Motley S, Dai Q, Concepcion R, Barocas DA (2013) Association between biomarkers of obesity and risk of high-grade prostatic intraepithelial neoplasia and prostate cancer-evidence of effect modification by prostate size. Cancer Lett 328:345–352PubMedCentralCrossRefPubMed Fowke JH, Motley S, Dai Q, Concepcion R, Barocas DA (2013) Association between biomarkers of obesity and risk of high-grade prostatic intraepithelial neoplasia and prostate cancer-evidence of effect modification by prostate size. Cancer Lett 328:345–352PubMedCentralCrossRefPubMed
Metadata
Title
The effects of height and BMI on prostate cancer incidence and mortality: a Mendelian randomization study in 20,848 cases and 20,214 controls from the PRACTICAL consortium
Authors
Neil M. Davies
Tom R. Gaunt
Sarah J. Lewis
Jeff Holly
Jenny L. Donovan
Freddie C. Hamdy
John P. Kemp
Rosalind Eeles
Doug Easton
Zsofia Kote-Jarai
Ali Amin Al Olama
Sara Benlloch
Kenneth Muir
Graham G. Giles
Fredrik Wiklund
Henrik Gronberg
Christopher A. Haiman
Johanna Schleutker
Børge G. Nordestgaard
Ruth C. Travis
David Neal
Nora Pashayan
Kay-Tee Khaw
Janet L. Stanford
William J. Blot
Stephen Thibodeau
Christiane Maier
Adam S. Kibel
Cezary Cybulski
Lisa Cannon-Albright
Hermann Brenner
Jong Park
Radka Kaneva
Jyotsna Batra
Manuel R. Teixeira
Hardev Pandha
Mark Lathrop
George Davey Smith
Richard M. Martin
PRACTICAL consortium
Publication date
01-11-2015
Publisher
Springer International Publishing
Published in
Cancer Causes & Control / Issue 11/2015
Print ISSN: 0957-5243
Electronic ISSN: 1573-7225
DOI
https://doi.org/10.1007/s10552-015-0654-9

Other articles of this Issue 11/2015

Cancer Causes & Control 11/2015 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine