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...
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Published in | BMC medicine Vol. 18; no. 1; pp. 396 - 16 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
BioMed Central
17.12.2020
BioMed Central Ltd BMC |
Subjects | |
Online Access | Get full text |
ISSN | 1741-7015 1741-7015 |
DOI | 10.1186/s12916-020-01855-9 |
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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. |
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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 |
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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 |
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Keywords | Body mass index NMR CCFR CORECT Waist-to-hip ratio Colorectal cancer GECCO Mendelian randomization Metabolism Epidemiology |
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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... |
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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 |
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Title | Adiposity, metabolites, and colorectal cancer risk: Mendelian randomization study |
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