Adiposity, metabolites, and colorectal cancer risk: Mendelian randomization study

Background Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the metabolic alterations mediating the effects of adiposity on CRC are not fully understood. Methods We examined sex- and site-specif...

Full description

Saved in:
Bibliographic Details
Published inBMC medicine Vol. 18; no. 1; pp. 396 - 16
Main Authors Bull, Caroline J., Bell, Joshua A., Murphy, Neil, Sanderson, Eleanor, Davey Smith, George, Timpson, Nicholas J., Banbury, Barbara L., Albanes, Demetrius, Berndt, Sonja I., Bézieau, Stéphane, Bishop, D. Timothy, Brenner, Hermann, Buchanan, Daniel D., Burnett-Hartman, Andrea, Casey, Graham, Castellví-Bel, Sergi, Chan, Andrew T., Chang-Claude, Jenny, Cross, Amanda J., de la Chapelle, Albert, Figueiredo, Jane C., Gallinger, Steven J., Gapstur, Susan M., Giles, Graham G., Gruber, Stephen B., Gsur, Andrea, Hampe, Jochen, Hampel, Heather, Harrison, Tabitha A., Hoffmeister, Michael, Hsu, Li, Huang, Wen-Yi, Huyghe, Jeroen R., Jenkins, Mark A., Joshu, Corinne E., Keku, Temitope O., Kühn, Tilman, Kweon, Sun-Seog, Le Marchand, Loic, Li, Christopher I., Li, Li, Lindblom, Annika, Martín, Vicente, May, Anne M., Milne, Roger L., Moreno, Victor, Newcomb, Polly A., Offit, Kenneth, Ogino, Shuji, Phipps, Amanda I., Platz, Elizabeth A., Potter, John D., Qu, Conghui, Quirós, J. Ramón, Rennert, Gad, Riboli, Elio, Sakoda, Lori C., Schafmayer, Clemens, Schoen, Robert E., Slattery, Martha L., Tangen, Catherine M., Tsilidis, Kostas K., Ulrich, Cornelia M., van Duijnhoven, Fränzel J. B., van Guelpen, Bethany, Visvanathan, Kala, Vodicka, Pavel, Vodickova, Ludmila, Wang, Hansong, White, Emily, Wolk, Alicja, Woods, Michael O., Wu, Anna H., Campbell, Peter T., Zheng, Wei, Peters, Ulrike, Vincent, Emma E., Gunter, Marc J.
Format Journal Article
LanguageEnglish
Published London BioMed Central 17.12.2020
BioMed Central Ltd
BMC
Subjects
Online AccessGet full text
ISSN1741-7015
1741-7015
DOI10.1186/s12916-020-01855-9

Cover

Abstract Background Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the metabolic alterations mediating the effects of adiposity on CRC are not fully understood. Methods We examined sex- and site-specific associations of adiposity with CRC risk and whether adiposity-associated metabolites explain the associations of adiposity with CRC. Genetic variants from genome-wide association studies of body mass index (BMI) and waist-to-hip ratio (WHR, unadjusted for BMI; N  = 806,810), and 123 metabolites from targeted nuclear magnetic resonance metabolomics ( N  = 24,925), were used as instruments. Sex-combined and sex-specific Mendelian randomization (MR) was conducted for BMI and WHR with CRC risk (58,221 cases and 67,694 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry). Sex-combined MR was conducted for BMI and WHR with metabolites, for metabolites with CRC, and for BMI and WHR with CRC adjusted for metabolite classes in multivariable models. Results In sex-specific MR analyses, higher BMI (per 4.2 kg/m 2 ) was associated with 1.23 (95% confidence interval (CI) = 1.08, 1.38) times higher CRC odds among men (inverse-variance-weighted (IVW) model); among women, higher BMI (per 5.2 kg/m 2 ) was associated with 1.09 (95% CI = 0.97, 1.22) times higher CRC odds. WHR (per 0.07 higher) was more strongly associated with CRC risk among women (IVW OR = 1.25, 95% CI = 1.08, 1.43) than men (IVW OR = 1.05, 95% CI = 0.81, 1.36). BMI or WHR was associated with 104/123 metabolites at false discovery rate-corrected P  ≤ 0.05; several metabolites were associated with CRC, but not in directions that were consistent with the mediation of positive adiposity-CRC relations. In multivariable MR analyses, associations of BMI and WHR with CRC were not attenuated following adjustment for representative metabolite classes, e.g., the univariable IVW OR for BMI with CRC was 1.12 (95% CI = 1.00, 1.26), and this became 1.11 (95% CI = 0.99, 1.26) when adjusting for cholesterol in low-density lipoprotein particles. Conclusions Our results suggest that higher BMI more greatly raises CRC risk among men, whereas higher WHR more greatly raises CRC risk among women. Adiposity was associated with numerous metabolic alterations, but none of these explained associations between adiposity and CRC. More detailed metabolomic measures are likely needed to clarify the mechanistic pathways.
AbstractList Background Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the metabolic alterations mediating the effects of adiposity on CRC are not fully understood. Methods We examined sex- and site-specific associations of adiposity with CRC risk and whether adiposity-associated metabolites explain the associations of adiposity with CRC. Genetic variants from genome-wide association studies of body mass index (BMI) and waist-to-hip ratio (WHR, unadjusted for BMI; N = 806,810), and 123 metabolites from targeted nuclear magnetic resonance metabolomics (N = 24,925), were used as instruments. Sex-combined and sex-specific Mendelian randomization (MR) was conducted for BMI and WHR with CRC risk (58,221 cases and 67,694 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry). Sex-combined MR was conducted for BMI and WHR with metabolites, for metabolites with CRC, and for BMI and WHR with CRC adjusted for metabolite classes in multivariable models. Results In sex-specific MR analyses, higher BMI (per 4.2 kg/m2) was associated with 1.23 (95% confidence interval (CI) = 1.08, 1.38) times higher CRC odds among men (inverse-variance-weighted (IVW) model); among women, higher BMI (per 5.2 kg/m2) was associated with 1.09 (95% CI = 0.97, 1.22) times higher CRC odds. WHR (per 0.07 higher) was more strongly associated with CRC risk among women (IVW OR = 1.25, 95% CI = 1.08, 1.43) than men (IVW OR = 1.05, 95% CI = 0.81, 1.36). BMI or WHR was associated with 104/123 metabolites at false discovery rate-corrected P ≤ 0.05; several metabolites were associated with CRC, but not in directions that were consistent with the mediation of positive adiposity-CRC relations. In multivariable MR analyses, associations of BMI and WHR with CRC were not attenuated following adjustment for representative metabolite classes, e.g., the univariable IVW OR for BMI with CRC was 1.12 (95% CI = 1.00, 1.26), and this became 1.11 (95% CI = 0.99, 1.26) when adjusting for cholesterol in low-density lipoprotein particles. Conclusions Our results suggest that higher BMI more greatly raises CRC risk among men, whereas higher WHR more greatly raises CRC risk among women. Adiposity was associated with numerous metabolic alterations, but none of these explained associations between adiposity and CRC. More detailed metabolomic measures are likely needed to clarify the mechanistic pathways.
Background Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the metabolic alterations mediating the effects of adiposity on CRC are not fully understood. Methods We examined sex- and site-specific associations of adiposity with CRC risk and whether adiposity-associated metabolites explain the associations of adiposity with CRC. Genetic variants from genome-wide association studies of body mass index (BMI) and waist-to-hip ratio (WHR, unadjusted for BMI; N  = 806,810), and 123 metabolites from targeted nuclear magnetic resonance metabolomics ( N  = 24,925), were used as instruments. Sex-combined and sex-specific Mendelian randomization (MR) was conducted for BMI and WHR with CRC risk (58,221 cases and 67,694 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry). Sex-combined MR was conducted for BMI and WHR with metabolites, for metabolites with CRC, and for BMI and WHR with CRC adjusted for metabolite classes in multivariable models. Results In sex-specific MR analyses, higher BMI (per 4.2 kg/m 2 ) was associated with 1.23 (95% confidence interval (CI) = 1.08, 1.38) times higher CRC odds among men (inverse-variance-weighted (IVW) model); among women, higher BMI (per 5.2 kg/m 2 ) was associated with 1.09 (95% CI = 0.97, 1.22) times higher CRC odds. WHR (per 0.07 higher) was more strongly associated with CRC risk among women (IVW OR = 1.25, 95% CI = 1.08, 1.43) than men (IVW OR = 1.05, 95% CI = 0.81, 1.36). BMI or WHR was associated with 104/123 metabolites at false discovery rate-corrected P  ≤ 0.05; several metabolites were associated with CRC, but not in directions that were consistent with the mediation of positive adiposity-CRC relations. In multivariable MR analyses, associations of BMI and WHR with CRC were not attenuated following adjustment for representative metabolite classes, e.g., the univariable IVW OR for BMI with CRC was 1.12 (95% CI = 1.00, 1.26), and this became 1.11 (95% CI = 0.99, 1.26) when adjusting for cholesterol in low-density lipoprotein particles. Conclusions Our results suggest that higher BMI more greatly raises CRC risk among men, whereas higher WHR more greatly raises CRC risk among women. Adiposity was associated with numerous metabolic alterations, but none of these explained associations between adiposity and CRC. More detailed metabolomic measures are likely needed to clarify the mechanistic pathways.
Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the metabolic alterations mediating the effects of adiposity on CRC are not fully understood.BACKGROUNDHigher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the metabolic alterations mediating the effects of adiposity on CRC are not fully understood.We examined sex- and site-specific associations of adiposity with CRC risk and whether adiposity-associated metabolites explain the associations of adiposity with CRC. Genetic variants from genome-wide association studies of body mass index (BMI) and waist-to-hip ratio (WHR, unadjusted for BMI; N = 806,810), and 123 metabolites from targeted nuclear magnetic resonance metabolomics (N = 24,925), were used as instruments. Sex-combined and sex-specific Mendelian randomization (MR) was conducted for BMI and WHR with CRC risk (58,221 cases and 67,694 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry). Sex-combined MR was conducted for BMI and WHR with metabolites, for metabolites with CRC, and for BMI and WHR with CRC adjusted for metabolite classes in multivariable models.METHODSWe examined sex- and site-specific associations of adiposity with CRC risk and whether adiposity-associated metabolites explain the associations of adiposity with CRC. Genetic variants from genome-wide association studies of body mass index (BMI) and waist-to-hip ratio (WHR, unadjusted for BMI; N = 806,810), and 123 metabolites from targeted nuclear magnetic resonance metabolomics (N = 24,925), were used as instruments. Sex-combined and sex-specific Mendelian randomization (MR) was conducted for BMI and WHR with CRC risk (58,221 cases and 67,694 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry). Sex-combined MR was conducted for BMI and WHR with metabolites, for metabolites with CRC, and for BMI and WHR with CRC adjusted for metabolite classes in multivariable models.In sex-specific MR analyses, higher BMI (per 4.2 kg/m2) was associated with 1.23 (95% confidence interval (CI) = 1.08, 1.38) times higher CRC odds among men (inverse-variance-weighted (IVW) model); among women, higher BMI (per 5.2 kg/m2) was associated with 1.09 (95% CI = 0.97, 1.22) times higher CRC odds. WHR (per 0.07 higher) was more strongly associated with CRC risk among women (IVW OR = 1.25, 95% CI = 1.08, 1.43) than men (IVW OR = 1.05, 95% CI = 0.81, 1.36). BMI or WHR was associated with 104/123 metabolites at false discovery rate-corrected P ≤ 0.05; several metabolites were associated with CRC, but not in directions that were consistent with the mediation of positive adiposity-CRC relations. In multivariable MR analyses, associations of BMI and WHR with CRC were not attenuated following adjustment for representative metabolite classes, e.g., the univariable IVW OR for BMI with CRC was 1.12 (95% CI = 1.00, 1.26), and this became 1.11 (95% CI = 0.99, 1.26) when adjusting for cholesterol in low-density lipoprotein particles.RESULTSIn sex-specific MR analyses, higher BMI (per 4.2 kg/m2) was associated with 1.23 (95% confidence interval (CI) = 1.08, 1.38) times higher CRC odds among men (inverse-variance-weighted (IVW) model); among women, higher BMI (per 5.2 kg/m2) was associated with 1.09 (95% CI = 0.97, 1.22) times higher CRC odds. WHR (per 0.07 higher) was more strongly associated with CRC risk among women (IVW OR = 1.25, 95% CI = 1.08, 1.43) than men (IVW OR = 1.05, 95% CI = 0.81, 1.36). BMI or WHR was associated with 104/123 metabolites at false discovery rate-corrected P ≤ 0.05; several metabolites were associated with CRC, but not in directions that were consistent with the mediation of positive adiposity-CRC relations. In multivariable MR analyses, associations of BMI and WHR with CRC were not attenuated following adjustment for representative metabolite classes, e.g., the univariable IVW OR for BMI with CRC was 1.12 (95% CI = 1.00, 1.26), and this became 1.11 (95% CI = 0.99, 1.26) when adjusting for cholesterol in low-density lipoprotein particles.Our results suggest that higher BMI more greatly raises CRC risk among men, whereas higher WHR more greatly raises CRC risk among women. Adiposity was associated with numerous metabolic alterations, but none of these explained associations between adiposity and CRC. More detailed metabolomic measures are likely needed to clarify the mechanistic pathways.CONCLUSIONSOur results suggest that higher BMI more greatly raises CRC risk among men, whereas higher WHR more greatly raises CRC risk among women. Adiposity was associated with numerous metabolic alterations, but none of these explained associations between adiposity and CRC. More detailed metabolomic measures are likely needed to clarify the mechanistic pathways.
Background Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the metabolic alterations mediating the effects of adiposity on CRC are not fully understood. Methods We examined sex- and site-specific associations of adiposity with CRC risk and whether adiposity-associated metabolites explain the associations of adiposity with CRC. Genetic variants from genome-wide association studies of body mass index (BMI) and waist-to-hip ratio (WHR, unadjusted for BMI; N = 806,810), and 123 metabolites from targeted nuclear magnetic resonance metabolomics (N = 24,925), were used as instruments. Sex-combined and sex-specific Mendelian randomization (MR) was conducted for BMI and WHR with CRC risk (58,221 cases and 67,694 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry). Sex-combined MR was conducted for BMI and WHR with metabolites, for metabolites with CRC, and for BMI and WHR with CRC adjusted for metabolite classes in multivariable models. Results In sex-specific MR analyses, higher BMI (per 4.2 kg/m(2)) was associated with 1.23 (95% confidence interval (CI) = 1.08, 1.38) times higher CRC odds among men (inverse-variance-weighted (IVW) model); among women, higher BMI (per 5.2 kg/m(2)) was associated with 1.09 (95% CI = 0.97, 1.22) times higher CRC odds. WHR (per 0.07 higher) was more strongly associated with CRC risk among women (IVW OR = 1.25, 95% CI = 1.08, 1.43) than men (IVW OR = 1.05, 95% CI = 0.81, 1.36). BMI or WHR was associated with 104/123 metabolites at false discovery rate-corrected P <= 0.05; several metabolites were associated with CRC, but not in directions that were consistent with the mediation of positive adiposity-CRC relations. In multivariable MR analyses, associations of BMI and WHR with CRC were not attenuated following adjustment for representative metabolite classes, e.g., the univariable IVW OR for BMI with CRC was 1.12 (95% CI = 1.00, 1.26), and this became 1.11 (95% CI = 0.99, 1.26) when adjusting for cholesterol in low-density lipoprotein particles. Conclusions Our results suggest that higher BMI more greatly raises CRC risk among men, whereas higher WHR more greatly raises CRC risk among women. Adiposity was associated with numerous metabolic alterations, but none of these explained associations between adiposity and CRC. More detailed metabolomic measures are likely needed to clarify the mechanistic pathways.
Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the metabolic alterations mediating the effects of adiposity on CRC are not fully understood. We examined sex- and site-specific associations of adiposity with CRC risk and whether adiposity-associated metabolites explain the associations of adiposity with CRC. Genetic variants from genome-wide association studies of body mass index (BMI) and waist-to-hip ratio (WHR, unadjusted for BMI; N = 806,810), and 123 metabolites from targeted nuclear magnetic resonance metabolomics (N = 24,925), were used as instruments. Sex-combined and sex-specific Mendelian randomization (MR) was conducted for BMI and WHR with CRC risk (58,221 cases and 67,694 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry). Sex-combined MR was conducted for BMI and WHR with metabolites, for metabolites with CRC, and for BMI and WHR with CRC adjusted for metabolite classes in multivariable models. In sex-specific MR analyses, higher BMI (per 4.2 kg/m.sup.2) was associated with 1.23 (95% confidence interval (CI) = 1.08, 1.38) times higher CRC odds among men (inverse-variance-weighted (IVW) model); among women, higher BMI (per 5.2 kg/m.sup.2) was associated with 1.09 (95% CI = 0.97, 1.22) times higher CRC odds. WHR (per 0.07 higher) was more strongly associated with CRC risk among women (IVW OR = 1.25, 95% CI = 1.08, 1.43) than men (IVW OR = 1.05, 95% CI = 0.81, 1.36). BMI or WHR was associated with 104/123 metabolites at false discovery rate-corrected P [less than or equai to] 0.05; several metabolites were associated with CRC, but not in directions that were consistent with the mediation of positive adiposity-CRC relations. In multivariable MR analyses, associations of BMI and WHR with CRC were not attenuated following adjustment for representative metabolite classes, e.g., the univariable IVW OR for BMI with CRC was 1.12 (95% CI = 1.00, 1.26), and this became 1.11 (95% CI = 0.99, 1.26) when adjusting for cholesterol in low-density lipoprotein particles. Our results suggest that higher BMI more greatly raises CRC risk among men, whereas higher WHR more greatly raises CRC risk among women. Adiposity was associated with numerous metabolic alterations, but none of these explained associations between adiposity and CRC. More detailed metabolomic measures are likely needed to clarify the mechanistic pathways.
Background Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the metabolic alterations mediating the effects of adiposity on CRC are not fully understood. Methods We examined sex- and site-specific associations of adiposity with CRC risk and whether adiposity-associated metabolites explain the associations of adiposity with CRC. Genetic variants from genome-wide association studies of body mass index (BMI) and waist-to-hip ratio (WHR, unadjusted for BMI; N = 806,810), and 123 metabolites from targeted nuclear magnetic resonance metabolomics (N = 24,925), were used as instruments. Sex-combined and sex-specific Mendelian randomization (MR) was conducted for BMI and WHR with CRC risk (58,221 cases and 67,694 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry). Sex-combined MR was conducted for BMI and WHR with metabolites, for metabolites with CRC, and for BMI and WHR with CRC adjusted for metabolite classes in multivariable models. Results In sex-specific MR analyses, higher BMI (per 4.2 kg/m.sup.2) was associated with 1.23 (95% confidence interval (CI) = 1.08, 1.38) times higher CRC odds among men (inverse-variance-weighted (IVW) model); among women, higher BMI (per 5.2 kg/m.sup.2) was associated with 1.09 (95% CI = 0.97, 1.22) times higher CRC odds. WHR (per 0.07 higher) was more strongly associated with CRC risk among women (IVW OR = 1.25, 95% CI = 1.08, 1.43) than men (IVW OR = 1.05, 95% CI = 0.81, 1.36). BMI or WHR was associated with 104/123 metabolites at false discovery rate-corrected P [less than or equai to] 0.05; several metabolites were associated with CRC, but not in directions that were consistent with the mediation of positive adiposity-CRC relations. In multivariable MR analyses, associations of BMI and WHR with CRC were not attenuated following adjustment for representative metabolite classes, e.g., the univariable IVW OR for BMI with CRC was 1.12 (95% CI = 1.00, 1.26), and this became 1.11 (95% CI = 0.99, 1.26) when adjusting for cholesterol in low-density lipoprotein particles. Conclusions Our results suggest that higher BMI more greatly raises CRC risk among men, whereas higher WHR more greatly raises CRC risk among women. Adiposity was associated with numerous metabolic alterations, but none of these explained associations between adiposity and CRC. More detailed metabolomic measures are likely needed to clarify the mechanistic pathways. Keywords: Body mass index, Waist-to-hip ratio, Colorectal cancer, Mendelian randomization, Metabolism, NMR, Epidemiology, GECCO, CORECT, CCFR
BACKGROUND: Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the metabolic alterations mediating the effects of adiposity on CRC are not fully understood. METHODS: We examined sex- and site-specific associations of adiposity with CRC risk and whether adiposity-associated metabolites explain the associations of adiposity with CRC. Genetic variants from genome-wide association studies of body mass index (BMI) and waist-to-hip ratio (WHR, unadjusted for BMI; N = 806,810), and 123 metabolites from targeted nuclear magnetic resonance metabolomics (N = 24,925), were used as instruments. Sex-combined and sex-specific Mendelian randomization (MR) was conducted for BMI and WHR with CRC risk (58,221 cases and 67,694 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry). Sex-combined MR was conducted for BMI and WHR with metabolites, for metabolites with CRC, and for BMI and WHR with CRC adjusted for metabolite classes in multivariable models. RESULTS: In sex-specific MR analyses, higher BMI (per 4.2 kg/m 2 ) was associated with 1.23 (95% confidence interval (CI) = 1.08, 1.38) times higher CRC odds among men (inverse-variance-weighted (IVW) model); among women, higher BMI (per 5.2 kg/m 2 ) was associated with 1.09 (95% CI = 0.97, 1.22) times higher CRC odds. WHR (per 0.07 higher) was more strongly associated with CRC risk among women (IVW OR = 1.25, 95% CI = 1.08, 1.43) than men (IVW OR = 1.05, 95% CI = 0.81, 1.36). BMI or WHR was associated with 104/123 metabolites at false discovery rate-corrected P ≤ 0.05; several metabolites were associated with CRC, but not in directions that were consistent with the mediation of positive adiposity-CRC relations. In multivariable MR analyses, associations of BMI and WHR with CRC were not attenuated following adjustment for representative metabolite classes, e.g., the univariable IVW OR for BMI with CRC was 1.12 (95% CI = 1.00, 1.26), and this became 1.11 (95% CI = 0.99, 1.26) when adjusting for cholesterol in low-density lipoprotein particles. CONCLUSIONS: Our results suggest that higher BMI more greatly raises CRC risk among men, whereas higher WHR more greatly raises CRC risk among women. Adiposity was associated with numerous metabolic alterations, but none of these explained associations between adiposity and CRC. More detailed metabolomic measures are likely needed to clarify the mechanistic pathways.
Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the metabolic alterations mediating the effects of adiposity on CRC are not fully understood. We examined sex- and site-specific associations of adiposity with CRC risk and whether adiposity-associated metabolites explain the associations of adiposity with CRC. Genetic variants from genome-wide association studies of body mass index (BMI) and waist-to-hip ratio (WHR, unadjusted for BMI; N = 806,810), and 123 metabolites from targeted nuclear magnetic resonance metabolomics (N = 24,925), were used as instruments. Sex-combined and sex-specific Mendelian randomization (MR) was conducted for BMI and WHR with CRC risk (58,221 cases and 67,694 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry). Sex-combined MR was conducted for BMI and WHR with metabolites, for metabolites with CRC, and for BMI and WHR with CRC adjusted for metabolite classes in multivariable models. In sex-specific MR analyses, higher BMI (per 4.2 kg/m ) was associated with 1.23 (95% confidence interval (CI) = 1.08, 1.38) times higher CRC odds among men (inverse-variance-weighted (IVW) model); among women, higher BMI (per 5.2 kg/m ) was associated with 1.09 (95% CI = 0.97, 1.22) times higher CRC odds. WHR (per 0.07 higher) was more strongly associated with CRC risk among women (IVW OR = 1.25, 95% CI = 1.08, 1.43) than men (IVW OR = 1.05, 95% CI = 0.81, 1.36). BMI or WHR was associated with 104/123 metabolites at false discovery rate-corrected P ≤ 0.05; several metabolites were associated with CRC, but not in directions that were consistent with the mediation of positive adiposity-CRC relations. In multivariable MR analyses, associations of BMI and WHR with CRC were not attenuated following adjustment for representative metabolite classes, e.g., the univariable IVW OR for BMI with CRC was 1.12 (95% CI = 1.00, 1.26), and this became 1.11 (95% CI = 0.99, 1.26) when adjusting for cholesterol in low-density lipoprotein particles. Our results suggest that higher BMI more greatly raises CRC risk among men, whereas higher WHR more greatly raises CRC risk among women. Adiposity was associated with numerous metabolic alterations, but none of these explained associations between adiposity and CRC. More detailed metabolomic measures are likely needed to clarify the mechanistic pathways.
Abstract Background Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the metabolic alterations mediating the effects of adiposity on CRC are not fully understood. Methods We examined sex- and site-specific associations of adiposity with CRC risk and whether adiposity-associated metabolites explain the associations of adiposity with CRC. Genetic variants from genome-wide association studies of body mass index (BMI) and waist-to-hip ratio (WHR, unadjusted for BMI; N = 806,810), and 123 metabolites from targeted nuclear magnetic resonance metabolomics (N = 24,925), were used as instruments. Sex-combined and sex-specific Mendelian randomization (MR) was conducted for BMI and WHR with CRC risk (58,221 cases and 67,694 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry). Sex-combined MR was conducted for BMI and WHR with metabolites, for metabolites with CRC, and for BMI and WHR with CRC adjusted for metabolite classes in multivariable models. Results In sex-specific MR analyses, higher BMI (per 4.2 kg/m2) was associated with 1.23 (95% confidence interval (CI) = 1.08, 1.38) times higher CRC odds among men (inverse-variance-weighted (IVW) model); among women, higher BMI (per 5.2 kg/m2) was associated with 1.09 (95% CI = 0.97, 1.22) times higher CRC odds. WHR (per 0.07 higher) was more strongly associated with CRC risk among women (IVW OR = 1.25, 95% CI = 1.08, 1.43) than men (IVW OR = 1.05, 95% CI = 0.81, 1.36). BMI or WHR was associated with 104/123 metabolites at false discovery rate-corrected P ≤ 0.05; several metabolites were associated with CRC, but not in directions that were consistent with the mediation of positive adiposity-CRC relations. In multivariable MR analyses, associations of BMI and WHR with CRC were not attenuated following adjustment for representative metabolite classes, e.g., the univariable IVW OR for BMI with CRC was 1.12 (95% CI = 1.00, 1.26), and this became 1.11 (95% CI = 0.99, 1.26) when adjusting for cholesterol in low-density lipoprotein particles. Conclusions Our results suggest that higher BMI more greatly raises CRC risk among men, whereas higher WHR more greatly raises CRC risk among women. Adiposity was associated with numerous metabolic alterations, but none of these explained associations between adiposity and CRC. More detailed metabolomic measures are likely needed to clarify the mechanistic pathways.
ArticleNumber 396
Audience Academic
Author Wu, Anna H.
Platz, Elizabeth A.
Burnett-Hartman, Andrea
Tangen, Catherine M.
Gallinger, Steven J.
Milne, Roger L.
Quirós, J. Ramón
Ulrich, Cornelia M.
Albanes, Demetrius
Joshu, Corinne E.
Moreno, Victor
Figueiredo, Jane C.
Banbury, Barbara L.
Schoen, Robert E.
Huang, Wen-Yi
Li, Li
Phipps, Amanda I.
Riboli, Elio
Bishop, D. Timothy
Hampe, Jochen
Martín, Vicente
Cross, Amanda J.
Lindblom, Annika
Kweon, Sun-Seog
Vincent, Emma E.
Wolk, Alicja
Sanderson, Eleanor
Hsu, Li
Tsilidis, Kostas K.
Gsur, Andrea
Gapstur, Susan M.
Li, Christopher I.
White, Emily
Schafmayer, Clemens
Bell, Joshua A.
Timpson, Nicholas J.
Berndt, Sonja I.
Giles, Graham G.
Jenkins, Mark A.
Bull, Caroline J.
Offit, Kenneth
Wang, Hansong
Hampel, Heather
Buchanan, Daniel D.
Newcomb, Polly A.
Castellví-Bel, Sergi
van Guelpen, Bethany
Chang-Claude, Jenny
Davey Smith, George
Zheng, Wei
Ogino, Shuji
Gruber, Stephen B.
May, Anne M.
Peters, Ulrike
Bézieau, Stéphane
Harrison, Tabitha A.
Qu, Conghui
Rennert, Gad
van Duijnhoven, Fränzel J. B.
Hoffmeister, Michael
Vodicka, Pavel
Slattery, Martha
Author_xml – sequence: 1
  givenname: Caroline J.
  orcidid: 0000-0002-2176-5120
  surname: Bull
  fullname: Bull, Caroline J.
  email: caroline.bull@bristol.ac.uk
  organization: MRC Integrative Epidemiology Unit at the University of Bristol, Population Health Sciences, Bristol Medical School, University of Bristol, School of Cellular and Molecular Medicine, University of Bristol
– sequence: 2
  givenname: Joshua A.
  surname: Bell
  fullname: Bell, Joshua A.
  organization: MRC Integrative Epidemiology Unit at the University of Bristol, Population Health Sciences, Bristol Medical School, University of Bristol
– sequence: 3
  givenname: Neil
  surname: Murphy
  fullname: Murphy, Neil
  organization: Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization
– sequence: 4
  givenname: Eleanor
  surname: Sanderson
  fullname: Sanderson, Eleanor
  organization: MRC Integrative Epidemiology Unit at the University of Bristol, Population Health Sciences, Bristol Medical School, University of Bristol
– sequence: 5
  givenname: George
  surname: Davey Smith
  fullname: Davey Smith, George
  organization: MRC Integrative Epidemiology Unit at the University of Bristol, Population Health Sciences, Bristol Medical School, University of Bristol
– sequence: 6
  givenname: Nicholas J.
  surname: Timpson
  fullname: Timpson, Nicholas J.
  organization: MRC Integrative Epidemiology Unit at the University of Bristol, Population Health Sciences, Bristol Medical School, University of Bristol
– sequence: 7
  givenname: Barbara L.
  surname: Banbury
  fullname: Banbury, Barbara L.
  organization: Public Health Sciences Division, Fred Hutchinson Cancer Research Center
– sequence: 8
  givenname: Demetrius
  surname: Albanes
  fullname: Albanes, Demetrius
  organization: Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health
– sequence: 9
  givenname: Sonja I.
  surname: Berndt
  fullname: Berndt, Sonja I.
  organization: Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health
– sequence: 10
  givenname: Stéphane
  surname: Bézieau
  fullname: Bézieau, Stéphane
  organization: Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes
– sequence: 11
  givenname: D. Timothy
  surname: Bishop
  fullname: Bishop, D. Timothy
  organization: Leeds Institute of Cancer and Pathology, University of Leeds
– sequence: 12
  givenname: Hermann
  surname: Brenner
  fullname: Brenner, Hermann
  organization: Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ)
– sequence: 13
  givenname: Daniel D.
  surname: Buchanan
  fullname: Buchanan, Daniel D.
  organization: Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Victorian Comprehensive Cancer Centre, University of Melbourne Centre for Cancer Research, Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital
– sequence: 14
  givenname: Andrea
  surname: Burnett-Hartman
  fullname: Burnett-Hartman, Andrea
  organization: Institute for Health Research, Kaiser Permanente Colorado
– sequence: 15
  givenname: Graham
  surname: Casey
  fullname: Casey, Graham
  organization: Center for Public Health Genomics, University of Virginia
– sequence: 16
  givenname: Sergi
  surname: Castellví-Bel
  fullname: Castellví-Bel, Sergi
  organization: Gastroenterology Department, Hospital Clínic, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona
– sequence: 17
  givenname: Andrew T.
  surname: Chan
  fullname: Chan, Andrew T.
  organization: Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Broad Institute of Harvard and MIT
– sequence: 18
  givenname: Jenny
  surname: Chang-Claude
  fullname: Chang-Claude, Jenny
  organization: Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), University Cancer Centre Hamburg (UCCH), University Medical Centre Hamburg-Eppendorf
– sequence: 19
  givenname: Amanda J.
  surname: Cross
  fullname: Cross, Amanda J.
  organization: Department of Epidemiology and Biostatistics, Imperial College London
– sequence: 20
  givenname: Albert
  surname: de la Chapelle
  fullname: de la Chapelle, Albert
  organization: Department of Cancer Biology and Genetics and the Comprehensive Cancer Center, The Ohio State University
– sequence: 21
  givenname: Jane C.
  surname: Figueiredo
  fullname: Figueiredo, Jane C.
  organization: Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Department of Preventive Medicine, Keck School of Medicine, University of Southern California
– sequence: 22
  givenname: Steven J.
  surname: Gallinger
  fullname: Gallinger, Steven J.
  organization: Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto
– sequence: 23
  givenname: Susan M.
  surname: Gapstur
  fullname: Gapstur, Susan M.
  organization: Epidemiology Research Program, American Cancer Society
– sequence: 24
  givenname: Graham G.
  surname: Giles
  fullname: Giles, Graham G.
  organization: Cancer Epidemiology Division, Cancer Council Victoria, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Precision Medicine, School of Clinical Sciences at Monash Health, Monash University
– sequence: 25
  givenname: Stephen B.
  surname: Gruber
  fullname: Gruber, Stephen B.
  organization: Department of Preventive Medicine & USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California
– sequence: 26
  givenname: Andrea
  surname: Gsur
  fullname: Gsur, Andrea
  organization: Institute of Cancer Research, Department of Medicine I, Medical University Vienna
– sequence: 27
  givenname: Jochen
  surname: Hampe
  fullname: Hampe, Jochen
  organization: Department of Medicine I, University Hospital Dresden, Technische Universität Dresden (TU Dresden)
– sequence: 28
  givenname: Heather
  surname: Hampel
  fullname: Hampel, Heather
  organization: Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center
– sequence: 29
  givenname: Tabitha A.
  surname: Harrison
  fullname: Harrison, Tabitha A.
  organization: Public Health Sciences Division, Fred Hutchinson Cancer Research Center
– sequence: 30
  givenname: Michael
  surname: Hoffmeister
  fullname: Hoffmeister, Michael
  organization: Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ)
– sequence: 31
  givenname: Li
  surname: Hsu
  fullname: Hsu, Li
  organization: Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Department of Biostatistics, University of Washington
– sequence: 32
  givenname: Wen-Yi
  surname: Huang
  fullname: Huang, Wen-Yi
  organization: Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health
– sequence: 33
  givenname: Jeroen R.
  surname: Huyghe
  fullname: Huyghe, Jeroen R.
  organization: Public Health Sciences Division, Fred Hutchinson Cancer Research Center
– sequence: 34
  givenname: Mark A.
  surname: Jenkins
  fullname: Jenkins, Mark A.
  organization: Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne
– sequence: 35
  givenname: Corinne E.
  surname: Joshu
  fullname: Joshu, Corinne E.
  organization: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
– sequence: 36
  givenname: Temitope O.
  surname: Keku
  fullname: Keku, Temitope O.
  organization: Center for Gastrointestinal Biology and Disease, University of North Carolina
– sequence: 37
  givenname: Tilman
  surname: Kühn
  fullname: Kühn, Tilman
  organization: Division of Cancer Epidemiology, German Cancer Research Center (DKFZ)
– sequence: 38
  givenname: Sun-Seog
  surname: Kweon
  fullname: Kweon, Sun-Seog
  organization: Department of Preventive Medicine, Chonnam National University Medical School, Jeonnam Regional Cancer Center, Chonnam National University Hwasun Hospital
– sequence: 39
  givenname: Loic
  surname: Le Marchand
  fullname: Le Marchand, Loic
  organization: University of Hawaii Cancer Center
– sequence: 40
  givenname: Christopher I.
  surname: Li
  fullname: Li, Christopher I.
  organization: Public Health Sciences Division, Fred Hutchinson Cancer Research Center
– sequence: 41
  givenname: Li
  surname: Li
  fullname: Li, Li
  organization: Department of Family Medicine, University of Virginia
– sequence: 42
  givenname: Annika
  surname: Lindblom
  fullname: Lindblom, Annika
  organization: Department of Clinical Genetics, Karolinska University Hospital, Department of Molecular Medicine and Surgery, Karolinska Institutet
– sequence: 43
  givenname: Vicente
  surname: Martín
  fullname: Martín, Vicente
  organization: CIBER Epidemiología y Salud Pública (CIBERESP), Biomedicine Institute (IBIOMED), University of León
– sequence: 44
  givenname: Anne M.
  surname: May
  fullname: May, Anne M.
  organization: Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University
– sequence: 45
  givenname: Roger L.
  surname: Milne
  fullname: Milne, Roger L.
  organization: Cancer Epidemiology Division, Cancer Council Victoria, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Precision Medicine, School of Clinical Sciences at Monash Health, Monash University
– sequence: 46
  givenname: Victor
  surname: Moreno
  fullname: Moreno, Victor
  organization: CIBER Epidemiología y Salud Pública (CIBERESP), Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, ONCOBEL Program, Bellvitge Biomedical Research Institute (IDIBELL)
– sequence: 47
  givenname: Polly A.
  surname: Newcomb
  fullname: Newcomb, Polly A.
  organization: Public Health Sciences Division, Fred Hutchinson Cancer Research Center, School of Public Health, University of Washington
– sequence: 48
  givenname: Kenneth
  surname: Offit
  fullname: Offit, Kenneth
  organization: Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, Department of Medicine, Weill Cornell Medical College
– sequence: 49
  givenname: Shuji
  surname: Ogino
  fullname: Ogino, Shuji
  organization: Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Cancer Immunology and Cancer Epidemiology Programs, Dana-Farber Harvard Cancer Center, Broad Institute of MIT and Harvard
– sequence: 50
  givenname: Amanda I.
  surname: Phipps
  fullname: Phipps, Amanda I.
  organization: Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Department of Epidemiology, University of Washington
– sequence: 51
  givenname: Elizabeth A.
  surname: Platz
  fullname: Platz, Elizabeth A.
  organization: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
– sequence: 52
  givenname: John D.
  surname: Potter
  fullname: Potter, John D.
  organization: Public Health Sciences Division, Fred Hutchinson Cancer Research Center, University of Washington, Centre for Public Health Research, Massey University, Health Sciences Centre, University of Canterbury
– sequence: 53
  givenname: Conghui
  surname: Qu
  fullname: Qu, Conghui
  organization: Public Health Sciences Division, Fred Hutchinson Cancer Research Center
– sequence: 54
  givenname: J. Ramón
  surname: Quirós
  fullname: Quirós, J. Ramón
  organization: Public Health Directorate
– sequence: 55
  givenname: Gad
  surname: Rennert
  fullname: Rennert, Gad
  organization: Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Clalit National Cancer Control Center
– sequence: 56
  givenname: Elio
  surname: Riboli
  fullname: Riboli, Elio
  organization: Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London
– sequence: 57
  givenname: Lori C.
  surname: Sakoda
  fullname: Sakoda, Lori C.
  organization: Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Division of Research, Kaiser Permanente Northern California
– sequence: 58
  givenname: Clemens
  surname: Schafmayer
  fullname: Schafmayer, Clemens
  organization: Department of General Surgery, University Hospital Rostock
– sequence: 59
  givenname: Robert E.
  surname: Schoen
  fullname: Schoen, Robert E.
  organization: Department of Medicine and Epidemiology, University of Pittsburgh Medical Center
– sequence: 60
  givenname: Martha L.
  surname: Slattery
  fullname: Slattery, Martha L.
  organization: Department of Internal Medicine, University of Utah
– sequence: 61
  givenname: Catherine M.
  surname: Tangen
  fullname: Tangen, Catherine M.
  organization: SWOG Statistical Center, Fred Hutchinson Cancer Research Center
– sequence: 62
  givenname: Kostas K.
  surname: Tsilidis
  fullname: Tsilidis, Kostas K.
  organization: Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Department of Hygiene and Epidemiology, University of Ioannina School of Medicine
– sequence: 63
  givenname: Cornelia M.
  surname: Ulrich
  fullname: Ulrich, Cornelia M.
  organization: Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah
– sequence: 64
  givenname: Fränzel J. B.
  surname: van Duijnhoven
  fullname: van Duijnhoven, Fränzel J. B.
  organization: Division of Human Nutrition and Health, Wageningen University & Research
– sequence: 65
  givenname: Bethany
  surname: van Guelpen
  fullname: van Guelpen, Bethany
  organization: Department of Radiation Sciences, Oncology Unit, Umeå University, Wallenberg Centre for Molecular Medicine, Umeå University
– sequence: 66
  givenname: Kala
  surname: Visvanathan
  fullname: Visvanathan, Kala
  organization: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
– sequence: 67
  givenname: Pavel
  surname: Vodicka
  fullname: Vodicka, Pavel
  organization: Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Faculty of Medicine and Biomedical Center in Pilsen, Charles University
– sequence: 68
  givenname: Ludmila
  surname: Vodickova
  fullname: Vodickova, Ludmila
  organization: Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Faculty of Medicine and Biomedical Center in Pilsen, Charles University
– sequence: 69
  givenname: Hansong
  surname: Wang
  fullname: Wang, Hansong
  organization: University of Hawaii Cancer Center
– sequence: 70
  givenname: Emily
  surname: White
  fullname: White, Emily
  organization: Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Department of Epidemiology, University of Washington School of Public Health
– sequence: 71
  givenname: Alicja
  surname: Wolk
  fullname: Wolk, Alicja
  organization: Institute of Environmental Medicine, Karolinska Institutet
– sequence: 72
  givenname: Michael O.
  surname: Woods
  fullname: Woods, Michael O.
  organization: Discipline of Genetics, Memorial University of Newfoundland
– sequence: 73
  givenname: Anna H.
  surname: Wu
  fullname: Wu, Anna H.
  organization: University of Southern California, Preventative Medicine
– sequence: 74
  givenname: Peter T.
  surname: Campbell
  fullname: Campbell, Peter T.
  organization: Behavioral and Epidemiology Research Group, American Cancer Society
– sequence: 75
  givenname: Wei
  surname: Zheng
  fullname: Zheng, Wei
  organization: Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine
– sequence: 76
  givenname: Ulrike
  surname: Peters
  fullname: Peters, Ulrike
  organization: Public Health Sciences Division, Fred Hutchinson Cancer Research Center
– sequence: 77
  givenname: Emma E.
  surname: Vincent
  fullname: Vincent, Emma E.
  organization: MRC Integrative Epidemiology Unit at the University of Bristol, Population Health Sciences, Bristol Medical School, University of Bristol, School of Cellular and Molecular Medicine, University of Bristol
– sequence: 78
  givenname: Marc J.
  surname: Gunter
  fullname: Gunter, Marc J.
  organization: Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization
BackLink https://www.ncbi.nlm.nih.gov/pubmed/33327948$$D View this record in MEDLINE/PubMed
https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-178729$$DView record from Swedish Publication Index
https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-451937$$DView record from Swedish Publication Index
http://kipublications.ki.se/Default.aspx?queryparsed=id:145522654$$DView record from Swedish Publication Index
BookMark eNp9k11v0zAUhiM0xD7gD3CBIiEhLpphO3Zsc4FUja9JQwgJuLUc57R1l9jDTkDl1-O0ZWsnqHIR6-R53-Ocj9PsyHkHWfYUo3OMRfUqYiJxVSCCCoQFY4V8kJ1gTnHBEWZHO-fj7DTGJUKEcU4fZcdlWRIuqTjJvkwbe-Oj7VeTvINe1761PcRJrl2TG9_6AKbXbW60MxDyYOP16_wTuAZaq10eEuY7-1v31rs89kOzepw9nOk2wpPt-yz79v7d14uPxdXnD5cX06vCcIb7ojEgTUVxaUzNGWEVBYpnhIDkaCYNB8OIEU1DRSkF47UGYgyvkcSa1hyL8iy73Pg2Xi_VTbCdDivltVXrgA9zpUNvTQuq4rxklWy0RoYCq2umoTSaEVELA6ZOXsXGK_6Cm6Hec9uGrtMJFK2YQCTxk__yb-336Tr7MCjKsCz5Qfs7vBsU5oITmfg3Gz7BHaRKuT7odk-2_8XZhZr7nyp1l9FqNHi5NQj-xwCxV52NBtpWO_BDVIRyJNM44PFXnt9Dl34ILnVupDCmmLDyjprrVE_rZj7lNaOpmlYMMSQFoYk6_weVngY6a9LwzmyK7wle7AgWoNt-EX07jNMU98FnuxW5LcXfQU4A2QAm-BgDzG4RjNS4LWqzLSpti1pvixrLJO6JjO3Xo5zubdvD0nLb0pTHzSHcle2A6g-hQyhK
CitedBy_id crossref_primary_10_1016_j_ebiom_2024_104977
crossref_primary_10_1016_j_intimp_2024_112603
crossref_primary_10_1080_01635581_2024_2374042
crossref_primary_10_1007_s12020_021_02884_x
crossref_primary_10_3390_biomedicines11092401
crossref_primary_10_7554_eLife_72452
crossref_primary_10_14309_ajg_0000000000002853
crossref_primary_10_1038_s41366_024_01479_6
crossref_primary_10_1038_s41598_023_40393_1
crossref_primary_10_1093_jnci_djae047
crossref_primary_10_3390_medicina59091646
crossref_primary_10_1186_s12885_023_11662_z
crossref_primary_10_4103_jbs_jbs_16_24
crossref_primary_10_1093_jnci_djaa165
crossref_primary_10_1093_carcin_bgad058
crossref_primary_10_1155_2022_2339678
crossref_primary_10_1097_PPO_0000000000000744
crossref_primary_10_1096_fba_2022_00017
crossref_primary_10_1002_cam4_6022
crossref_primary_10_1186_s13578_023_01138_9
crossref_primary_10_1371_journal_pone_0273452
crossref_primary_10_1080_01635581_2022_2132266
crossref_primary_10_1097_GH9_0000000000000512
crossref_primary_10_3389_fpubh_2023_1022367
crossref_primary_10_1093_jnci_djac215
crossref_primary_10_3390_cancers13153817
crossref_primary_10_1007_s10555_022_10054_2
crossref_primary_10_1007_s12094_024_03801_0
crossref_primary_10_3390_ijms232113128
crossref_primary_10_3390_nu13051736
crossref_primary_10_3390_cancers16081530
crossref_primary_10_1093_jnci_djac011
crossref_primary_10_3389_fsurg_2022_943544
crossref_primary_10_1097_MCG_0000000000001678
crossref_primary_10_1186_s13046_022_02477_0
crossref_primary_10_3390_nu13062101
crossref_primary_10_3390_metabo13020234
crossref_primary_10_1186_s12916_022_02702_9
crossref_primary_10_1093_jnci_djac061
crossref_primary_10_1016_j_arr_2025_102666
crossref_primary_10_1016_j_canep_2023_102342
crossref_primary_10_1016_j_micpath_2024_106684
crossref_primary_10_3389_fendo_2024_1359236
crossref_primary_10_1038_s41416_024_02900_7
crossref_primary_10_1210_clinem_dgac393
crossref_primary_10_3390_ijms22031253
crossref_primary_10_1002_gepi_22552
crossref_primary_10_1186_s12916_021_02188_x
crossref_primary_10_1038_s41598_024_60122_6
crossref_primary_10_1093_hmg_ddac186
crossref_primary_10_3389_fendo_2024_1322253
crossref_primary_10_1016_j_ypmed_2024_108147
crossref_primary_10_1186_s12885_021_08098_8
crossref_primary_10_3389_fgene_2022_792558
crossref_primary_10_3389_fgene_2022_923429
crossref_primary_10_3389_fphar_2023_1136614
crossref_primary_10_3390_biology10080722
crossref_primary_10_1186_s12944_024_02241_7
crossref_primary_10_1007_s00394_022_02993_x
crossref_primary_10_3389_fnut_2023_1024849
crossref_primary_10_1007_s11695_024_07420_0
crossref_primary_10_1038_s41598_021_89176_6
crossref_primary_10_1080_16078454_2024_2428481
crossref_primary_10_3389_fmed_2024_1396036
crossref_primary_10_1007_s40615_023_01797_x
crossref_primary_10_1016_j_ajcnut_2024_03_009
crossref_primary_10_1080_01635581_2023_2294521
crossref_primary_10_1136_bmjopen_2021_059642
crossref_primary_10_3390_nu14245259
crossref_primary_10_1007_s12011_024_04077_9
crossref_primary_10_1016_j_lanepe_2022_100457
crossref_primary_10_1002_cam4_5807
crossref_primary_10_1186_s12916_023_03104_1
crossref_primary_10_3389_fnut_2023_1078963
crossref_primary_10_1136_egastro_2023_100058
crossref_primary_10_1038_s41598_024_77758_z
crossref_primary_10_1186_s12885_025_13690_3
crossref_primary_10_1016_j_atherosclerosis_2022_12_008
crossref_primary_10_3389_fonc_2021_743703
crossref_primary_10_3389_fendo_2024_1438079
crossref_primary_10_1093_jnci_djab102
crossref_primary_10_3233_JAD_220497
crossref_primary_10_1007_s00432_021_03790_5
crossref_primary_10_1186_s13578_023_00977_w
crossref_primary_10_1186_s12885_025_13701_3
crossref_primary_10_1016_j_neuroscience_2025_01_017
crossref_primary_10_1371_journal_pone_0317462
crossref_primary_10_20960_nh_05183
crossref_primary_10_1126_sciadv_adj1987
crossref_primary_10_1111_dom_16000
crossref_primary_10_1016_j_ebiom_2024_105010
Cites_doi 10.1016/S2468-2667(18)30267-6
10.3945/ajcn.115.118216
10.1093/ije/dyw127
10.1038/nrcardio.2017.78
10.1007/s10552-013-0326-6
10.1210/en.2005-1012
10.1038/ijo.2008.25
10.1097/MCG.0b013e3180338e56
10.1038/nature05482
10.1038/ncomms11122
10.1002/ijc.24927
10.3945/ajcn.2008.26847
10.1136/bmj.322.7280.226
10.1002/gepi.21965
10.1016/j.ejca.2017.07.034
10.7554/eLife.34408
10.1097/EDE.0000000000000559
10.1214/aoms/1177731868
10.1016/j.jacc.2018.09.066
10.1038/s41380-018-0037-1
10.1038/s41588-018-0286-6
10.1093/ije/dyx102
10.1001/jama.295.1.74
10.1038/bjc.2016.188
10.1016/j.beem.2007.04.007
10.1016/j.ajhg.2014.12.021
10.1038/nature05485
10.1136/bmj.g2646
10.1038/nature14132
10.1002/1878-0261.12417
10.1101/2020.04.02.021980
10.1007/BF02234301
10.1038/s41575-018-0038-1
10.1093/ije/dyv080
10.3892/or.8.3.509
10.1093/annonc/mdu275
10.1007/s10552-014-0507-y
10.1093/jncics/pkz054
10.1002/ijc.30709
10.1080/00031305.2016.1154108
10.1016/j.cmet.2016.05.026
10.1152/ajpgi.00208.2014
10.1111/j.2517-6161.1995.tb02031.x
10.1093/jnci/92.19.1592
10.1093/aje/kwy185
10.18632/oncotarget.3481
10.1002/gepi.21998
10.1101/816363
10.1038/s41575-018-0073-y
10.1101/306209
10.1093/ije/dyr036
10.1093/ije/dyg070
10.1093/ije/dyw129
10.1158/1055-9965.EPI-14-1309
10.1056/NEJMsr1606602
10.1038/nature14177
10.1007/s40471-017-0128-6
10.1053/j.gastro.2019.12.020
10.1371/journal.pone.0120758
10.3748/wjg.v20.i7.1858
10.1093/hmg/ddu328
10.1093/aje/kwx016
10.1016/j.canlet.2004.02.015
10.1093/hmg/ddy327
10.1371/journal.pmed.1001765
10.1016/j.cell.2013.12.012
ContentType Journal Article
Copyright The Author(s) 2020
COPYRIGHT 2020 BioMed Central Ltd.
2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: The Author(s) 2020
– notice: COPYRIGHT 2020 BioMed Central Ltd.
– notice: 2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID C6C
AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
3V.
7QL
7U9
7X7
7XB
88E
8FI
8FJ
8FK
ABUWG
AFKRA
AZQEC
BENPR
C1K
CCPQU
DWQXO
FYUFA
GHDGH
H94
K9.
M0S
M1P
M7N
PHGZM
PHGZT
PIMPY
PJZUB
PKEHL
PPXIY
PQEST
PQQKQ
PQUKI
PRINS
7X8
5PM
ADHXS
ADTPV
AOWAS
D8T
D93
ZZAVC
ACNBI
DF2
DOA
DOI 10.1186/s12916-020-01855-9
DatabaseName Springer Nature OA Free Journals
CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
ProQuest Central (Corporate)
Bacteriology Abstracts (Microbiology B)
Virology and AIDS Abstracts
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
ProQuest Central
Environmental Sciences and Pollution Management
ProQuest One Community College
ProQuest Central Korea
Health Research Premium Collection
Health Research Premium Collection (Alumni)
AIDS and Cancer Research Abstracts
ProQuest Health & Medical Complete (Alumni)
ProQuest Health & Medical Collection
Medical Database
Algology Mycology and Protozoology Abstracts (Microbiology C)
ProQuest Central Premium
ProQuest One Academic (New)
Publicly Available Content Database
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
MEDLINE - Academic
PubMed Central (Full Participant titles)
SWEPUB Umeå universitet full text
SwePub
SwePub Articles
SWEPUB Freely available online
SWEPUB Umeå universitet
SwePub Articles full text
SWEPUB Uppsala universitet full text
SWEPUB Uppsala universitet
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Central China
Environmental Sciences and Pollution Management
ProQuest Central
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
ProQuest Central Korea
Bacteriology Abstracts (Microbiology B)
Algology Mycology and Protozoology Abstracts (Microbiology C)
Health & Medical Research Collection
AIDS and Cancer Research Abstracts
ProQuest Central (New)
ProQuest Medical Library (Alumni)
Virology and AIDS Abstracts
ProQuest One Academic Eastern Edition
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
ProQuest Hospital Collection (Alumni)
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest One Academic UKI Edition
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList Publicly Available Content Database

MEDLINE - Academic




MEDLINE


Database_xml – sequence: 1
  dbid: C6C
  name: Springer Nature OA Free Journals
  url: http://www.springeropen.com/
  sourceTypes: Publisher
– sequence: 2
  dbid: DOA
  name: DOAJ Directory of Open Access Journals (WRLC)
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 3
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 4
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 5
  dbid: BENPR
  name: ProQuest Central
  url: http://www.proquest.com/pqcentral?accountid=15518
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Statistics
EISSN 1741-7015
EndPage 16
ExternalDocumentID oai_doaj_org_article_6773569daa0c4e5bb5ae3ca528b8cecb
oai_swepub_ki_se_465802
oai_DiVA_org_uu_451937
oai_DiVA_org_umu_178729
PMC7745469
A650509824
33327948
10_1186_s12916_020_01855_9
Genre Research Support, Non-U.S. Gov't
Journal Article
Research Support, N.I.H., Extramural
GeographicLocations Europe
GeographicLocations_xml – name: Europe
GrantInformation_xml – fundername: Wellcome Trust
  grantid: 202802/Z/16/Z; 204813/Z/16/Z
  funderid: http://dx.doi.org/10.13039/100004440
– fundername: National Institute for Health Research
  grantid: BRC-1215-20011
  funderid: http://dx.doi.org/10.13039/501100000272
– fundername: World Cancer Research Fund International
  grantid: IIG_2019_2009
  funderid: http://dx.doi.org/10.13039/100013743
– fundername: Medical Research Council
  grantid: MC_UU_12013/3; MC_UU_00011/1
  funderid: http://dx.doi.org/10.13039/501100000265
– fundername: Medical Research Council and Wellcome Trust
  grantid: 217065/Z/19/Z
– fundername: Diabetes UK
  grantid: 17/0005587
– fundername: Cancer Research UK
  grantid: C18281/A19169
  funderid: http://dx.doi.org/10.13039/501100000289
– fundername: NCI NIH HHS
  grantid: U10 CA037429
– fundername: NHLBI NIH HHS
  grantid: HHSN268201600003C
– fundername: Cancer Research UK
  grantid: 19169
– fundername: NCI NIH HHS
  grantid: Z01 CP010200
– fundername: NCI NIH HHS
  grantid: R03 CA153323
– fundername: NHLBI NIH HHS
  grantid: HHSN268201600018C
– fundername: NCI NIH HHS
  grantid: R01 CA114347
– fundername: Cancer Research UK
  grantid: C18281/A19169
– fundername: NHLBI NIH HHS
  grantid: HHSN268201200008I
– fundername: NCI NIH HHS
  grantid: K05 CA152715
– fundername: ;
  grantid: IIG_2019_2009
– fundername: ;
  grantid: 202802/Z/16/Z; 204813/Z/16/Z
– fundername: ;
  grantid: C18281/A19169
– fundername: ;
  grantid: MC_UU_12013/3; MC_UU_00011/1
– fundername: ;
  grantid: 217065/Z/19/Z
– fundername: ;
  grantid: 17/0005587
– fundername: ;
  grantid: BRC-1215-20011
GroupedDBID ---
0R~
23N
2WC
4.4
53G
5GY
5VS
6J9
6PF
7X7
88E
8FI
8FJ
AAFWJ
AAJSJ
AASML
AAWTL
ABDBF
ABUWG
ACGFO
ACGFS
ACIHN
ACPRK
ACUHS
ADBBV
ADRAZ
ADUKV
AEAQA
AENEX
AFKRA
AFPKN
AFRAH
AHBYD
AHMBA
AHYZX
ALMA_UNASSIGNED_HOLDINGS
AMKLP
AMTXH
AOIJS
BAPOH
BAWUL
BCNDV
BENPR
BFQNJ
BMC
BPHCQ
BVXVI
C6C
CCPQU
CS3
DIK
DU5
E3Z
EAD
EAP
EAS
EBD
EBLON
EBS
EMB
EMK
EMOBN
ESX
F5P
FYUFA
GROUPED_DOAJ
GX1
HMCUK
HYE
IAO
IHR
IHW
INH
INR
ITC
KQ8
M1P
M48
MK0
M~E
O5R
O5S
OK1
OVT
P2P
PGMZT
PHGZM
PHGZT
PIMPY
PJZUB
PPXIY
PQQKQ
PROAC
PSQYO
PUEGO
RBZ
RNS
ROL
RPM
RSV
SMD
SOJ
SV3
TR2
TUS
UKHRP
WOQ
WOW
XSB
AAYXX
ALIPV
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
PMFND
3V.
7QL
7U9
7XB
8FK
AZQEC
C1K
DWQXO
H94
K9.
M7N
PKEHL
PQEST
PQUKI
PRINS
7X8
5PM
2VQ
ADHXS
ADTPV
AHSBF
AOWAS
C1A
D8T
D93
EJD
H13
IPNFZ
RIG
ZZAVC
ACNBI
DF2
ID FETCH-LOGICAL-c751t-dce9c6413ccb752564e41f22e970f9c7ec52c8dd4839857bae2cc7b091a4b7183
IEDL.DBID M48
ISSN 1741-7015
IngestDate Wed Aug 27 01:23:31 EDT 2025
Wed Sep 24 03:55:14 EDT 2025
Tue Sep 09 23:08:56 EDT 2025
Tue Sep 09 23:56:40 EDT 2025
Thu Aug 21 18:06:41 EDT 2025
Thu Sep 04 19:16:21 EDT 2025
Sat Jul 26 02:21:48 EDT 2025
Tue Jun 17 21:43:05 EDT 2025
Tue Jun 10 20:45:16 EDT 2025
Thu May 22 21:21:15 EDT 2025
Mon Jul 21 05:35:01 EDT 2025
Thu Apr 24 23:11:14 EDT 2025
Tue Jul 01 02:51:26 EDT 2025
Sat Sep 06 07:29:21 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Keywords Body mass index
NMR
CCFR
CORECT
Waist-to-hip ratio
Colorectal cancer
GECCO
Mendelian randomization
Metabolism
Epidemiology
Language English
License Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c751t-dce9c6413ccb752564e41f22e970f9c7ec52c8dd4839857bae2cc7b091a4b7183
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0002-2176-5120
OpenAccessLink http://journals.scholarsportal.info/openUrl.xqy?doi=10.1186/s12916-020-01855-9
PMID 33327948
PQID 2471141253
PQPubID 42775
PageCount 16
ParticipantIDs doaj_primary_oai_doaj_org_article_6773569daa0c4e5bb5ae3ca528b8cecb
swepub_primary_oai_swepub_ki_se_465802
swepub_primary_oai_DiVA_org_uu_451937
swepub_primary_oai_DiVA_org_umu_178729
pubmedcentral_primary_oai_pubmedcentral_nih_gov_7745469
proquest_miscellaneous_2470900212
proquest_journals_2471141253
gale_infotracmisc_A650509824
gale_infotracacademiconefile_A650509824
gale_healthsolutions_A650509824
pubmed_primary_33327948
crossref_primary_10_1186_s12916_020_01855_9
crossref_citationtrail_10_1186_s12916_020_01855_9
springer_journals_10_1186_s12916_020_01855_9
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2020-12-17
PublicationDateYYYYMMDD 2020-12-17
PublicationDate_xml – month: 12
  year: 2020
  text: 2020-12-17
  day: 17
PublicationDecade 2020
PublicationPlace London
PublicationPlace_xml – name: London
– name: England
PublicationTitle BMC medicine
PublicationTitleAbbrev BMC Med
PublicationTitleAlternate BMC Med
PublicationYear 2020
Publisher BioMed Central
BioMed Central Ltd
BMC
Publisher_xml – name: BioMed Central
– name: BioMed Central Ltd
– name: BMC
References EC Gonzalez (1855_CR60) 2001; 44
J Lovejoy (1855_CR49) 2008; 32
TT Tran (1855_CR55) 2006; 147
KM Dale (1855_CR65) 2006; 295
N Murphy (1855_CR47) 2018; 15
J Luo (1855_CR5) 2019; 3
JA Sterne (1855_CR31) 2001; 322
FP Hartwig (1855_CR29) 2017; 46
1855_CR3
H Rodriguez-Broadbent (1855_CR21) 2017; 140
1855_CR1
D Jarvis (1855_CR8) 2016; 115
H-J Wei (1855_CR52) 2015; 6
1855_CR33
D Shungin (1855_CR45) 2015; 518
1855_CR39
RL Wasserstein (1855_CR32) 2016; 70
B Lauby-Secretan (1855_CR4) 2016; 375
G Hemani (1855_CR36) 2018; 7
J Bowden (1855_CR30) 2015; 44
SE Kahn (1855_CR19) 2006; 444
G Mauri (1855_CR2) 2019; 13
1855_CR42
M Song (1855_CR22) 2018
1855_CR43
G Hotamisligil (1855_CR53) 2006; 444
S Lee (1855_CR69) 2016; 24
1855_CR46
AP Thrift (1855_CR7) 2015; 24
J Kettunen (1855_CR25) 2016; 7
JC Wells (1855_CR48) 2007; 21
G Davey Smith (1855_CR27) 2014; 23
GA Kiunga (1855_CR56) 2004; 211
E Missiaglia (1855_CR64) 2014; 25
S Burgess (1855_CR71) 2016; 40
P Würtz (1855_CR20) 2014; 11
MJ Gunter (1855_CR10) 2018; 15
H Aschard (1855_CR14) 2015; 96
JA Bell (1855_CR50) 2018; 72
1855_CR54
J Bowden (1855_CR28) 2016; 40
1855_CR12
A Wald (1855_CR38) 1940; 11
1855_CR58
1855_CR59
1855_CR16
PC Haycock (1855_CR35) 2016; 103
DA Lawlor (1855_CR13) 2016; 45
J Pekow (1855_CR63) 2015; 308
X Yao (1855_CR68) 2015; 26
DA Lawlor (1855_CR70) 2016; 45
G Davey Smith (1855_CR6) 2003; 32
S Burgess (1855_CR37) 2017; 28
C Gao (1855_CR9) 2016; 45
J Zheng (1855_CR40) 2017; 4
KM Flegal (1855_CR51) 2009; 89
MV Holmes (1855_CR17) 2019; 24
AE Locke (1855_CR44) 2015; 518
JR Huyghe (1855_CR26) 2019; 51
SU Dombrowski (1855_CR11) 2014; 348
ED Rosen (1855_CR18) 2014; 156
1855_CR61
MV Holmes (1855_CR15) 2017; 14
S May-Wilson (1855_CR23) 2017; 84
1855_CR62
H Shim (1855_CR34) 2015; 10
R Kaaks (1855_CR57) 2000; 92
1855_CR66
1855_CR67
1855_CR24
Y Benjamini (1855_CR41) 1995; 57
References_xml – ident: 1855_CR1
  doi: 10.1016/S2468-2667(18)30267-6
– volume: 103
  start-page: 965
  issue: 4
  year: 2016
  ident: 1855_CR35
  publication-title: Am J Clin Nutr
  doi: 10.3945/ajcn.115.118216
– volume: 45
  start-page: 908
  issue: 3
  year: 2016
  ident: 1855_CR13
  publication-title: Int J Epidemiol
  doi: 10.1093/ije/dyw127
– volume: 14
  start-page: 577
  year: 2017
  ident: 1855_CR15
  publication-title: Nat Rev Cardiol
  doi: 10.1038/nrcardio.2017.78
– ident: 1855_CR66
  doi: 10.1007/s10552-013-0326-6
– volume: 147
  start-page: 1830
  year: 2006
  ident: 1855_CR55
  publication-title: Endocrinol
  doi: 10.1210/en.2005-1012
– ident: 1855_CR3
– volume: 32
  start-page: 949
  issue: 6
  year: 2008
  ident: 1855_CR49
  publication-title: Int J Obes
  doi: 10.1038/ijo.2008.25
– ident: 1855_CR61
  doi: 10.1097/MCG.0b013e3180338e56
– volume: 444
  start-page: 840
  issue: 7121
  year: 2006
  ident: 1855_CR19
  publication-title: Nature.
  doi: 10.1038/nature05482
– volume: 7
  start-page: 11122
  year: 2016
  ident: 1855_CR25
  publication-title: Nat Commun
  doi: 10.1038/ncomms11122
– ident: 1855_CR54
  doi: 10.1002/ijc.24927
– volume: 89
  start-page: 500
  issue: 2
  year: 2009
  ident: 1855_CR51
  publication-title: Am J Clin Nutr
  doi: 10.3945/ajcn.2008.26847
– volume: 322
  start-page: 226
  issue: 7280
  year: 2001
  ident: 1855_CR31
  publication-title: BMJ.
  doi: 10.1136/bmj.322.7280.226
– ident: 1855_CR12
– volume-title: Type 2 diabetes and glycemic traits in relation to colorectal cancer risk: a Mendelian randomization study
  year: 2018
  ident: 1855_CR22
– volume: 40
  start-page: 304
  issue: 4
  year: 2016
  ident: 1855_CR28
  publication-title: Genet Epidemiol
  doi: 10.1002/gepi.21965
– volume: 84
  start-page: 228
  year: 2017
  ident: 1855_CR23
  publication-title: Eur J Cancer
  doi: 10.1016/j.ejca.2017.07.034
– volume: 7
  year: 2018
  ident: 1855_CR36
  publication-title: eLife.
  doi: 10.7554/eLife.34408
– volume: 28
  start-page: 30
  issue: 1
  year: 2017
  ident: 1855_CR37
  publication-title: Epidemiology.
  doi: 10.1097/EDE.0000000000000559
– volume: 11
  start-page: 284
  issue: 3
  year: 1940
  ident: 1855_CR38
  publication-title: Ann Mathematical Statistics
  doi: 10.1214/aoms/1177731868
– volume: 72
  start-page: 3142
  issue: 24
  year: 2018
  ident: 1855_CR50
  publication-title: J Am Coll Cardiol
  doi: 10.1016/j.jacc.2018.09.066
– volume: 24
  start-page: 167
  issue: 2
  year: 2019
  ident: 1855_CR17
  publication-title: Mol Psych
  doi: 10.1038/s41380-018-0037-1
– volume: 51
  start-page: 76
  issue: 1
  year: 2019
  ident: 1855_CR26
  publication-title: Nature Genet
  doi: 10.1038/s41588-018-0286-6
– volume: 46
  start-page: 1985
  issue: 6
  year: 2017
  ident: 1855_CR29
  publication-title: Int J Epidemiol
  doi: 10.1093/ije/dyx102
– volume: 295
  start-page: 74
  issue: 1
  year: 2006
  ident: 1855_CR65
  publication-title: JAMA.
  doi: 10.1001/jama.295.1.74
– volume: 115
  start-page: 266
  issue: 2
  year: 2016
  ident: 1855_CR8
  publication-title: Br J Cancer
  doi: 10.1038/bjc.2016.188
– volume: 21
  start-page: 415
  issue: 3
  year: 2007
  ident: 1855_CR48
  publication-title: Best Pract Res Clin Endocrinol Metab
  doi: 10.1016/j.beem.2007.04.007
– volume: 96
  start-page: 329
  issue: 2
  year: 2015
  ident: 1855_CR14
  publication-title: Am J Hum Genet
  doi: 10.1016/j.ajhg.2014.12.021
– volume: 444
  start-page: 860
  issue: 7121
  year: 2006
  ident: 1855_CR53
  publication-title: Nature.
  doi: 10.1038/nature05485
– volume: 348
  start-page: g2646
  year: 2014
  ident: 1855_CR11
  publication-title: BMJ.
  doi: 10.1136/bmj.g2646
– volume: 518
  start-page: 187
  issue: 7538
  year: 2015
  ident: 1855_CR45
  publication-title: Nature.
  doi: 10.1038/nature14132
– volume: 13
  start-page: 109
  issue: 2
  year: 2019
  ident: 1855_CR2
  publication-title: Mol Oncol
  doi: 10.1002/1878-0261.12417
– ident: 1855_CR46
  doi: 10.1101/2020.04.02.021980
– volume: 44
  start-page: 251
  year: 2001
  ident: 1855_CR60
  publication-title: Dis Colon Rectum
  doi: 10.1007/BF02234301
– volume: 15
  start-page: 659
  year: 2018
  ident: 1855_CR47
  publication-title: Nat Rev Gastroenterol Hepatol
  doi: 10.1038/s41575-018-0038-1
– volume: 44
  start-page: 512
  issue: 2
  year: 2015
  ident: 1855_CR30
  publication-title: Int J Epidemiol
  doi: 10.1093/ije/dyv080
– ident: 1855_CR62
  doi: 10.3892/or.8.3.509
– volume: 25
  start-page: 1995
  year: 2014
  ident: 1855_CR64
  publication-title: Ann Oncol
  doi: 10.1093/annonc/mdu275
– volume: 26
  start-page: 257
  issue: 2
  year: 2015
  ident: 1855_CR68
  publication-title: Cancer Causes Control
  doi: 10.1007/s10552-014-0507-y
– volume: 3
  start-page: pkz054
  issue: 4
  year: 2019
  ident: 1855_CR5
  publication-title: JNCI Cancer Spectrum
  doi: 10.1093/jncics/pkz054
– volume: 140
  start-page: 2701
  issue: 12
  year: 2017
  ident: 1855_CR21
  publication-title: Int J Cancer
  doi: 10.1002/ijc.30709
– volume: 70
  start-page: 129
  issue: 2
  year: 2016
  ident: 1855_CR32
  publication-title: Am Statistician
  doi: 10.1080/00031305.2016.1154108
– volume: 24
  start-page: 172
  issue: 1
  year: 2016
  ident: 1855_CR69
  publication-title: Cell Metab
  doi: 10.1016/j.cmet.2016.05.026
– volume: 308
  start-page: G179
  year: 2015
  ident: 1855_CR63
  publication-title: Am J Physiol-Gastrointestinal Liver Physiol
  doi: 10.1152/ajpgi.00208.2014
– volume: 57
  start-page: 289
  issue: 1
  year: 1995
  ident: 1855_CR41
  publication-title: J Royal Statistic Soc: Series B (Methodological)
  doi: 10.1111/j.2517-6161.1995.tb02031.x
– volume: 92
  start-page: 1592
  year: 2000
  ident: 1855_CR57
  publication-title: J Natl Cancer Inst
  doi: 10.1093/jnci/92.19.1592
– ident: 1855_CR39
  doi: 10.1093/aje/kwy185
– volume: 6
  start-page: 7713
  year: 2015
  ident: 1855_CR52
  publication-title: Oncotarget.
  doi: 10.18632/oncotarget.3481
– volume: 40
  start-page: 597
  issue: 7
  year: 2016
  ident: 1855_CR71
  publication-title: Genet Epidemiol
  doi: 10.1002/gepi.21998
– ident: 1855_CR16
  doi: 10.1101/816363
– ident: 1855_CR43
– volume: 15
  start-page: 651
  issue: 11
  year: 2018
  ident: 1855_CR10
  publication-title: Nature Rev Gastroenterol Hepatol
  doi: 10.1038/s41575-018-0073-y
– ident: 1855_CR42
  doi: 10.1101/306209
– ident: 1855_CR59
  doi: 10.1093/ije/dyr036
– volume: 32
  start-page: 1
  issue: 1
  year: 2003
  ident: 1855_CR6
  publication-title: Int J Epidemiol
  doi: 10.1093/ije/dyg070
– volume: 45
  start-page: 896
  issue: 3
  year: 2016
  ident: 1855_CR9
  publication-title: Int J Epidemiol
  doi: 10.1093/ije/dyw129
– volume: 24
  start-page: 1024
  issue: 7
  year: 2015
  ident: 1855_CR7
  publication-title: Cancer Epidemiol Biomark Prev
  doi: 10.1158/1055-9965.EPI-14-1309
– volume: 375
  start-page: 794
  issue: 8
  year: 2016
  ident: 1855_CR4
  publication-title: N Engl J Med
  doi: 10.1056/NEJMsr1606602
– volume: 518
  start-page: 197
  issue: 7538
  year: 2015
  ident: 1855_CR44
  publication-title: Nature.
  doi: 10.1038/nature14177
– volume: 4
  start-page: 330
  issue: 4
  year: 2017
  ident: 1855_CR40
  publication-title: Curr Epidemiol Rep
  doi: 10.1007/s40471-017-0128-6
– ident: 1855_CR58
  doi: 10.1053/j.gastro.2019.12.020
– volume: 10
  issue: 4
  year: 2015
  ident: 1855_CR34
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0120758
– ident: 1855_CR67
  doi: 10.3748/wjg.v20.i7.1858
– volume: 23
  start-page: R89
  issue: R1
  year: 2014
  ident: 1855_CR27
  publication-title: Hum Mol Gen
  doi: 10.1093/hmg/ddu328
– ident: 1855_CR24
  doi: 10.1093/aje/kwx016
– volume: 211
  start-page: 145
  year: 2004
  ident: 1855_CR56
  publication-title: Cancer Lett
  doi: 10.1016/j.canlet.2004.02.015
– volume: 45
  start-page: 1866
  issue: 6
  year: 2016
  ident: 1855_CR70
  publication-title: Int J Epidemiol
– ident: 1855_CR33
  doi: 10.1093/hmg/ddy327
– volume: 11
  issue: 12
  year: 2014
  ident: 1855_CR20
  publication-title: PLoS Med
  doi: 10.1371/journal.pmed.1001765
– volume: 156
  start-page: 20
  issue: 1
  year: 2014
  ident: 1855_CR18
  publication-title: Cell.
  doi: 10.1016/j.cell.2013.12.012
SSID ssj0025774
Score 2.6158328
Snippet Background Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear....
Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the...
Background Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear....
BACKGROUND: Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear....
Abstract Background Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is...
SourceID doaj
swepub
pubmedcentral
proquest
gale
pubmed
crossref
springer
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 396
SubjectTerms Adipose tissue
Adiposity - genetics
Adult
Bias
Biomedicine
Body mass
Body Mass Index
Body size
Case-Control Studies
CCFR
Cholesterol
Colon
Colon cancer
Colorectal cancer
Colorectal carcinoma
Colorectal Neoplasms - epidemiology
Colorectal Neoplasms - etiology
Colorectal Neoplasms - genetics
Colorectal Neoplasms - metabolism
Complications and side effects
Confidence intervals
Consortia
CORECT
Epidemiology
Estimates
Europe - epidemiology
Fatty acids
Female
GECCO
Genetic diversity
Genetic Predisposition to Disease
Genetic variance
Genetics
Genome-Wide Association Study - statistics & numerical data
Genomes
Health aspects
Health risks
Humans
Male
Medical research
Medicine
Medicine & Public Health
Men
Mendelian randomization
Mendelian Randomization Analysis
Metabolism
Metabolites
Metabolome - genetics
Metabolomics
Middle Aged
NMR
Nuclear magnetic resonance
Obesity
Obesity - complications
Obesity - epidemiology
Obesity - genetics
Obesity - metabolism
Physiological aspects
Polymorphism, Single Nucleotide
Randomization
Research Article
Risk
Risk Factors
Sex
Sex Factors
Sex factors in disease
Statistics
Waist-Hip Ratio
Waist-to-hip ratio
Weight control
Women
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lj9MwELbQHhAXxJvAAkHicaDRNo4dO9zKY7VCKhISi_ZmxWNHVNAUbZsD_54ZxwmbBZULh0pVMk7imfHM52T8mbFnDWZl1yh03lJBJqpGZFY72kQA832hHc4g6H3H8mN5cio-nMmzC1t9UU1YTw_cK-6oVKqQZeXqeg7CS2tl7QuoJddWgwdL0XdezYfJVJxqSUQ1wxIZXR5tMavlVGxLRVhayqyapKHA1v9nTL6QlC4XTI5fTS8xjIasdHyDXY9wMl303bjJrvj2Fru6jB_Mb7NPC7cKdVk_Z-na79DitOZ4O0vr1qVEWE0BDy8AZPzzlArNX6dLei1Orz9STGRus45LNdNARXuHnR6___z2JIu7KGSgZL7L8KErKDFXAVglEeEIL_KGc1-peVOB8iA5aOcEQiUtla09B1AWcUQtLGau4i47aDetv89ShCJWcYdTavx50Viu8FroBFWDTS0kLB-UaiBSjNNOF99NmGro0vSGMGgIEwxhqoS9Gtv86Ak29kq_IVuNkkSOHQ6gy5joMuZfLpOwJ2Rp0680HYe4WSBaRfykuUjYyyBBgxw7AHVcq4BqILqsieThRBIHJ0xPD95kYnDYGo6AIBeILIuEPR1PU0sqeGv9pgsy6NXEv5-we73zjZ0uioJjGNUJUxO3nGhleqZdfQ3U4TgspChRjbPBgX8_1j6tv-idfHKHd6svi6D3bt2ZHAM_R8HnewU7Q2xGhfr7BeOhb_jPG4HQeM4f_A97P2TXOA39nGe5OmQHu_POP0IoubOPQ9T4BQlEcSY
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: Health & Medical Collection
  dbid: 7X7
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lj9MwELZgkdBeECyvwAJB4nGg0TaOHTtcUHmsVkhFQmJRb1b8CFTQZGmbA_-eGcdJyYJ6qFTF47Qez8v2-BtCnlXglW0lQHhzYRJWVCzR0mIRAfD3mbSwgsD9jvmn_OycfVzwRdhw24S0yt4mekNtG4N75CcUrGjKwB1nby5-JVg1Ck9XQwmNq-RaCpEIlm4Qi92Ci0Ns01-UkfnJBnxbiim3mIolOU-KkTPymP3_Wua_XNPltMnh7PQSzqj3Tac3yY0QVMazTgpukSuuPiLX5-HY_IgcYkjZITLfJp9ndulTtX5P4pXbghDgNeTNJC5rGyOGNdpAeJtBeVjHmHv-Op7jTjnuiMTg22yzCrc3Y49Oe4ecn3748u4sCYUVEiN4uk1gBIXJwX0ZowWHoIc5llaUukJMq8IIZzg10loG0ZPkQpeOGiM0hBYl0-DMsrvkoG5qd5_EEJ1oQS2ssuHjWKWpgHeBXBQVdNUmImnPYWUC6jgWv_ip_OpD5qqbFQWzovysqCIir4Y-Fx3mxl7qtzhxAyXiZfsHzfqbCuqnciEynhe2LKeGOa41L11mSk6llsYZHZEnOO2qu3w6aL2aQQALIZWkLCIvPQXqPQzAlOH6ArABEbRGlMcjStBXM27uRUsFe7FRO-mOyNOhGXtiDlztmtbTTAsPyR-Re50kDoPOsoyCZZURESMZHXFl3FIvv3s0cdARznJg46SX5t3f2sf1F53Ej37h_fLrzPO9XbUqBV9AgfD5XsJWIcBRJv7_wvDoB3xzikG0PKUP9vPvITmkqOEpTVJxTA6269Y9grhxqx974_AHL2BrQA
  priority: 102
  providerName: ProQuest
– databaseName: Springer Nature OA Free Journals
  dbid: C6C
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlR1di9QwcNATxBfx2-qpFfx4cIvbNGlS39bV4xBWEDy5t9B8FBfdrtxuH_z3zqTZej2PBR8WlmaSpvOdZGYC8KJBq-waicxbSpvxquGZUY4uEUB7XyiHKwja71h8Lo9P-KdTcRrL5FAuzPnz-1yVbzdoj3IKk6XwKSVEVl2FawIVL3HzvJwPiyuBfswuKebSfiPDE-rz_6uFz5mhiyGSwznphZqiwQ4d3YKb0YFMZz3Fb8MV396B64t4RH4XvszcMkRi_Z6kK79FGlOW8WaS1q1LqUQ1qTgcwBK5z1IKLX-XLmgjnDY8UjRdbr2KyZlpKD57D06OPn6dH2fx3oTMSpFvM5x0ZUu0TtYaKdCn4Z7nDWO-ktOmstJbwaxyjqNzpIQ0tWfWSoOeQ80N2qriPhy069Y_hBSdDyOZw0U0_jxvDJM4FpK9arCrsQnkO6RqG4uK090WP3VYXKhS94TQSAgdCKGrBN4MfX71JTX2Qr8nWg2QVA47PEAu0VG6dCllIcrK1fXUci-MEbUvbC2YMsp6axJ4RpTWfW7pINR6hv4pekyK8QReBwgSa_wAW8fsBEQDFcgaQR6OIFEc7bh5x006qoONZugC5Bx9ySKB50Mz9aQQt9avuwAzrULF_QQe9Mw3fHRRFAwVp0pAjthyhJVxS7v8HoqFo1gIXiIaJzsG_jutfVh_1TP56A0flt9mAe_dqtM5qnqGgC_3Anaa6hcV8vIB46Mf-M9rjs7wlD36v4k-hhuMhDxnWS4P4WB71vkn6CZuzdOgH_4Aghdf9Q
  priority: 102
  providerName: Springer Nature
Title Adiposity, metabolites, and colorectal cancer risk: Mendelian randomization study
URI https://link.springer.com/article/10.1186/s12916-020-01855-9
https://www.ncbi.nlm.nih.gov/pubmed/33327948
https://www.proquest.com/docview/2471141253
https://www.proquest.com/docview/2470900212
https://pubmed.ncbi.nlm.nih.gov/PMC7745469
https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-178729
https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-451937
http://kipublications.ki.se/Default.aspx?queryparsed=id:145522654
https://doaj.org/article/6773569daa0c4e5bb5ae3ca528b8cecb
Volume 18
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Zj9MwELb2kBAviJssSwkSxwMNNI4dO0gItWVXK6SuYEVRxYsVOw5bsU2hh8T-e2acA7JUfeKhVROP3WTmG8_YHo8JeZqDVc5yAeCNhQlYkrNAywwPEQB7H8kMRhA43zE6jU_G7MOET3ZIfdxRxcDlxqEdnic1Xly8-vXz8h0o_Fun8DJ-vQSbFWIoLYZYSc6DZJfsu_UiDOVjzaoCoFOweuPMxnot4-Ry-P_bU_9lqq6GUTZrqVfyjjpbdXyT3KicTL9fouIW2bHFbXJtVC2j3yGf-tnURWtddv2ZXQEOcCfysuunReZjGmvsBqEBg5BY-Bh-_sYf4WQ5Tor4YN6y-azawOm7BLV3yfj46PPwJKjOVgiM4OEqgIdOTAw8MkYLDn4PsyzMKbWJ6OWJEdZwamSWMXCgJBc6tdQYocG7SJkGexbdI3vFvLAPiA8OihY0g4E2fCzLNRXQFkAjyaGqNh4Ja6YqUyUex_MvLpQbgMhYlYJQIAjlBKESj7xs6vwo025spR6grBpKTJntbswX31SlgSoWIuJxkqVpzzDLteapjUzKqdTSWKM98hglrcr9p43iqz74sOBVSco88sJRIBjhBUxa7WAANmASrRblYYsSVNa0i2s0qRrxioKbEDLwNyOPPGmKsSaGwRV2vnY0vcRl5ffI_RJ8zUtHUUShc5UeES1YtrjSLimm5y6hOKgFZzGwsVsD-M9jbeP68xLkrX94P_3Sd3xfz9YqBHNAgfDZVsK1whxHkdjcYHXrO_yyioHD3KMH_0PeD8l1iqof0iAUh2RvtVjbR-BgrnSH7IqJ6JD9wdHpxzO4GsbDjpus6bj-BL7PBl9_A5osfWw
linkProvider Scholars Portal
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1bb9MwFLZGJ8FeEIxbYLAgMXig0RrHjhOkCXVsU8fWCtCG9mbiS6CCtqMXof05fhvnOJeRgfq2h0pVfOw2x8ffObbPhZAXOWhlkwsQ3ljogKU5C1RisIgA6PsoMbCDwPOO_iDunbL3Z_xshfyuYmHQrbLCRAfUZqLxjHybAoqGDNRx9Pb8Z4BVo_B2tSqhkZWlFcyOSzFWBnYc2YtfsIWb7RzuwXxvUXqwf_KuF5RVBgIteDgPjLapjgHLtVaCgwXALAtzSm0qOnmqhdWc6sQYBqZEwoXKLNVaKNCzGVOA7BGMe4OsMjxAaZHV3f3Bh0_1lo-DdVWF6iTx9gy0a4hOv-gMlnAepA116KoG_Ksb_lKOVx0369vbK5lOnXY8uENul2at3y3k8C5ZseN1crNfXtyvkzU0aouc0PfIx64ZOmexi7Y_snMQQwyEnrX9bGx8zKKNKAyjaZTIqY_e72_8Pp7V45mMD9rVTEZl_Kjv8uPeJ6fXwvQHpDWejO0j4oN9pAQ1sM-Hj2W5ogLGAslMc-iqtEfCisNSl3nPsfzGD-n2P0ksi1mRMCvSzYpMPfK67nNeZP1YSr2LE1dTYsZu92Ay_SpLAJCxEBGPU5NlHc0sV4pnNtIZp4lKtNXKI5s47bIIf61xR3bBhAajLqHMI68cBSIPvIDOygAKYAPm8GpQbjQoATF0s7kSLVki1kxeri-PPK-bsSd64Y3tZOFoOqkrCuCRh4Uk1i8dRREFbE88Ihoy2uBKs2U8_ObymcMa4SwGNrYrab78W8u4_rKQ-MYv7A0_dx3fF6OFDEEbUSDcWkq4kJhiKRL_H7B89B2-WcnAXu_Qx8v5t0lu9U76x_L4cHD0hKxRXO0hDUKxQVrz6cI-BSt2rp6VUOGTL9eNTn8AicOvBA
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Lb9QwELaglSouiHcDhQaJx4FG3Th2bHMLlFVZ2AoERb1Z8SOwgs1W-zjw75lxsqEp1UocVlrFY8fxzHg-2zNjQp5VYJVdJUB4c2ETpiqWGOnwEgGw95l0sILA_Y7xSX58ykZn_OxCFH_wdl8fSTYxDZilqV4enruqUXGZHy7ASqXoPItOVZLzRF0n25IrBcuv7aIYfRl1iy4O-GYdLHNlzZ5BCnn7_52dL5iny66T3fnppVyjwT4Nb5GbLbCMi0YSbpNrvr5Ddsbt0fld8rlwk-Ch9fsgnvol8B6jjxcHcVm7GFNX49QHDVgUg3mMLuev4zFukONGSAwmzc2mbdBmHJLS3iOnw3df3x4n7X0KiRU8XSbQaWVzsFrWGsEB6zDP0opSr8SgUlZ4y6mVzjEATZILU3pqrTCAKEpmwIZl98lWPav9LokBlBhBHSyu4edZZaiAtkAcVAVVjY1Iuh5Ubdtk43jnxS8dFh0y1w0jNDBCB0ZoFZFXXZ3zJtXGRuo3yKuOEtNkhwez-Xfdap3Ohch4rlxZDizz3Bhe-syWnEojrbcmIvvIad3EnHbKrgvArYCkJGUReRkoUN3hA2zZRi3AMGDirB7lXo8S1NT2i9fSpNtpYqEpQIOUAcbMIvK0K8aa6PpW-9kq0AxUyMQfkQeN8HUfnWUZhQlVRkT0xLI3Kv2SevIjJBEHteAsh2E8WAvw325tGvUXjZD33nA0-VaEcV9NVzoFE0CB8PlGwpXGvEaZuLrB9tFP-Oc1A5A8oA__r6P7ZOfT0VB_fH_y4RG5QVHfU5qkYo9sLecr_xiQ5NI8aSeLP32bbKI
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Adiposity%2C+metabolites%2C+and+colorectal+cancer+risk%3A+Mendelian+randomization+study&rft.jtitle=BMC+medicine&rft.au=Caroline+J.+Bull&rft.au=Joshua+A.+Bell&rft.au=Neil+Murphy&rft.au=Eleanor+Sanderson&rft.date=2020-12-17&rft.pub=BMC&rft.eissn=1741-7015&rft.volume=18&rft.issue=1&rft.spage=1&rft.epage=16&rft_id=info:doi/10.1186%2Fs12916-020-01855-9&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_6773569daa0c4e5bb5ae3ca528b8cecb
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1741-7015&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1741-7015&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1741-7015&client=summon