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Associations Between Glycemic Traits and Colorectal Cancer: A Mendelian Randomization Analysis
BACKGROUND: Glycemic traits—such as hyperinsulinemia, hyperglycemia, and type 2 diabetes—have been associated with higher colorectal cancer risk in observational studies; however, causality of these associations is uncertain. We used Mendelian randomization (MR) to estimate the causal effects of fas...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086764/ https://www.ncbi.nlm.nih.gov/pubmed/35048991 http://dx.doi.org/10.1093/jnci/djac011 |
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author | Murphy, Neil Song, Mingyang Papadimitriou, Nikos Carreras-Torres, Robert Langenberg, Claudia Martin, Richard M Tsilidis, Konstantinos K Barroso, Inês Chen, Ji Frayling, Timothy M Bull, Caroline J Vincent, Emma E Cotterchio, Michelle Gruber, Stephen B Pai, Rish K Newcomb, Polly A Perez-Cornago, Aurora van Duijnhoven, Franzel J B Van Guelpen, Bethany Vodicka, Pavel Wolk, Alicja Wu, Anna H Peters, Ulrike Chan, Andrew T Gunter, Marc J |
author_facet | Murphy, Neil Song, Mingyang Papadimitriou, Nikos Carreras-Torres, Robert Langenberg, Claudia Martin, Richard M Tsilidis, Konstantinos K Barroso, Inês Chen, Ji Frayling, Timothy M Bull, Caroline J Vincent, Emma E Cotterchio, Michelle Gruber, Stephen B Pai, Rish K Newcomb, Polly A Perez-Cornago, Aurora van Duijnhoven, Franzel J B Van Guelpen, Bethany Vodicka, Pavel Wolk, Alicja Wu, Anna H Peters, Ulrike Chan, Andrew T Gunter, Marc J |
author_sort | Murphy, Neil |
collection | PubMed |
description | BACKGROUND: Glycemic traits—such as hyperinsulinemia, hyperglycemia, and type 2 diabetes—have been associated with higher colorectal cancer risk in observational studies; however, causality of these associations is uncertain. We used Mendelian randomization (MR) to estimate the causal effects of fasting insulin, 2-hour glucose, fasting glucose, glycated hemoglobin (HbA1c), and type 2 diabetes with colorectal cancer. METHODS: Genome-wide association study summary data were used to identify genetic variants associated with circulating levels of fasting insulin (n = 34), 2-hour glucose (n = 13), fasting glucose (n = 70), HbA1c (n = 221), and type 2 diabetes (n = 268). Using 2-sample MR, we examined these variants in relation to colorectal cancer risk (48 214 case patient and 64 159 control patients). RESULTS: In inverse-variance models, higher fasting insulin levels increased colorectal cancer risk (odds ratio [OR] per 1-SD = 1.65, 95% confidence interval [CI] = 1.15 to 2.36). We found no evidence of any effect of 2-hour glucose (OR per 1-SD = 1.02, 95% CI = 0.86 to 1.21) or fasting glucose (OR per 1-SD = 1.04, 95% CI = 0.88 to 1.23) concentrations on colorectal cancer risk. Genetic liability to type 2 diabetes (OR per 1-unit increase in log odds = 1.04, 95% CI = 1.01 to 1.07) and higher HbA1c levels (OR per 1-SD = 1.09, 95% CI = 1.00 to 1.19) increased colorectal cancer risk, although these findings may have been biased by pleiotropy. Higher HbA1c concentrations increased rectal cancer risk in men (OR per 1-SD = 1.21, 95% CI = 1.05 to 1.40), but not in women. CONCLUSIONS: Our results support a causal effect of higher fasting insulin, but not glucose traits or type 2 diabetes, on increased colorectal cancer risk. This suggests that pharmacological or lifestyle interventions that lower circulating insulin levels may be beneficial in preventing colorectal tumorigenesis. |
format | Online Article Text |
id | pubmed-9086764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-90867642022-05-11 Associations Between Glycemic Traits and Colorectal Cancer: A Mendelian Randomization Analysis Murphy, Neil Song, Mingyang Papadimitriou, Nikos Carreras-Torres, Robert Langenberg, Claudia Martin, Richard M Tsilidis, Konstantinos K Barroso, Inês Chen, Ji Frayling, Timothy M Bull, Caroline J Vincent, Emma E Cotterchio, Michelle Gruber, Stephen B Pai, Rish K Newcomb, Polly A Perez-Cornago, Aurora van Duijnhoven, Franzel J B Van Guelpen, Bethany Vodicka, Pavel Wolk, Alicja Wu, Anna H Peters, Ulrike Chan, Andrew T Gunter, Marc J J Natl Cancer Inst Articles BACKGROUND: Glycemic traits—such as hyperinsulinemia, hyperglycemia, and type 2 diabetes—have been associated with higher colorectal cancer risk in observational studies; however, causality of these associations is uncertain. We used Mendelian randomization (MR) to estimate the causal effects of fasting insulin, 2-hour glucose, fasting glucose, glycated hemoglobin (HbA1c), and type 2 diabetes with colorectal cancer. METHODS: Genome-wide association study summary data were used to identify genetic variants associated with circulating levels of fasting insulin (n = 34), 2-hour glucose (n = 13), fasting glucose (n = 70), HbA1c (n = 221), and type 2 diabetes (n = 268). Using 2-sample MR, we examined these variants in relation to colorectal cancer risk (48 214 case patient and 64 159 control patients). RESULTS: In inverse-variance models, higher fasting insulin levels increased colorectal cancer risk (odds ratio [OR] per 1-SD = 1.65, 95% confidence interval [CI] = 1.15 to 2.36). We found no evidence of any effect of 2-hour glucose (OR per 1-SD = 1.02, 95% CI = 0.86 to 1.21) or fasting glucose (OR per 1-SD = 1.04, 95% CI = 0.88 to 1.23) concentrations on colorectal cancer risk. Genetic liability to type 2 diabetes (OR per 1-unit increase in log odds = 1.04, 95% CI = 1.01 to 1.07) and higher HbA1c levels (OR per 1-SD = 1.09, 95% CI = 1.00 to 1.19) increased colorectal cancer risk, although these findings may have been biased by pleiotropy. Higher HbA1c concentrations increased rectal cancer risk in men (OR per 1-SD = 1.21, 95% CI = 1.05 to 1.40), but not in women. CONCLUSIONS: Our results support a causal effect of higher fasting insulin, but not glucose traits or type 2 diabetes, on increased colorectal cancer risk. This suggests that pharmacological or lifestyle interventions that lower circulating insulin levels may be beneficial in preventing colorectal tumorigenesis. Oxford University Press 2022-01-20 /pmc/articles/PMC9086764/ /pubmed/35048991 http://dx.doi.org/10.1093/jnci/djac011 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Articles Murphy, Neil Song, Mingyang Papadimitriou, Nikos Carreras-Torres, Robert Langenberg, Claudia Martin, Richard M Tsilidis, Konstantinos K Barroso, Inês Chen, Ji Frayling, Timothy M Bull, Caroline J Vincent, Emma E Cotterchio, Michelle Gruber, Stephen B Pai, Rish K Newcomb, Polly A Perez-Cornago, Aurora van Duijnhoven, Franzel J B Van Guelpen, Bethany Vodicka, Pavel Wolk, Alicja Wu, Anna H Peters, Ulrike Chan, Andrew T Gunter, Marc J Associations Between Glycemic Traits and Colorectal Cancer: A Mendelian Randomization Analysis |
title | Associations Between Glycemic Traits and Colorectal Cancer: A Mendelian Randomization Analysis |
title_full | Associations Between Glycemic Traits and Colorectal Cancer: A Mendelian Randomization Analysis |
title_fullStr | Associations Between Glycemic Traits and Colorectal Cancer: A Mendelian Randomization Analysis |
title_full_unstemmed | Associations Between Glycemic Traits and Colorectal Cancer: A Mendelian Randomization Analysis |
title_short | Associations Between Glycemic Traits and Colorectal Cancer: A Mendelian Randomization Analysis |
title_sort | associations between glycemic traits and colorectal cancer: a mendelian randomization analysis |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086764/ https://www.ncbi.nlm.nih.gov/pubmed/35048991 http://dx.doi.org/10.1093/jnci/djac011 |
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