Coffee consumption and kidney function: A Mendelian Randomization Study
Coffee consumption and kidney function: A Mendelian Randomization Study
Rationale & Objective: Chronic kidney disease (CKD) is a leading cause of morbidity and mortality worldwide, with limited strategies for prevention and treatment. Coffee is a complex mixture of chemicals, and consumption has been associated with mostly beneficial health outcomes. This work aimed to determine the impact of coffee consumption on kidney function. Study Design: Genome-wide association study (GWAS) and Mendelian randomization. Setting & Participants: UK Biobank baseline data were used for a coffee consumption GWAS and included 227,666 participants. CKDGen Consortium data were used for kidney outcomes and included 133,814 participants (12,385 cases of CKD) of mostly European ancestry across various countries. Exposure: Coffee consumption. Outcomes: Estimated glomerular filtration rate (eGFR), CKD GFR categories 3 to 5 (G3-G5; eGFR < 60 mL/min/1.73 m2), and albuminuria. Analytical Approach: GWAS to identify single-nucleotide polymorphisms (SNPs) associated with coffee consumption in UK Biobank and use of those SNPs in Mendelian randomization analyses of coffee consumption and kidney outcomes in CKDGen. Results: 2,126 SNPs were associated with coffee consumption (P < 5 × 10−8), 25 of which were independent and available in CKDGen. Drinking an extra cup of coffee per day conferred a protective effect against CKD G3-G5 (OR, 0.84; 95% CI, 0.72-0.98; P = 0.03) and albuminuria (OR, 0.81; 95% CI, 0.67-0.97; P = 0.02). An extra cup was also associated with higher eGFR (β = 0.022; P = 1.6 × 10−6) after removal of 3 SNPs responsible for significant heterogeneity (Cochran Q P = 3.5 × 10−15). Limitations: Assays used to measure creatinine and albumin varied between studies that contributed data and a sex-specific definition was used for albuminuria rather than KDIGO guideline recommendations. Conclusions: This study provides evidence of a beneficial effect of coffee on kidney function. Given widespread coffee consumption and limited interventions to prevent CKD incidence and progression, this could have significant implications for global public health in view of the increasing burden of CKD worldwide.
albuminuria, chronic kidney disease (CKD), coffee, dietary habits, eGFR (estimated glomerular filtration rate), genetic analysis, genetic epidemiology, genome-wide association study (GWAS), Mendelian randomisation, modifiable risk factor, renal function, single nucleotide polymorphism (SNP)
753-761
Kennedy, Oliver J.
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Pirastu, Nicola
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Poole, Robin
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Fallowfield, Jonathan A.
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Hayes, Peter C.
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Grzeszkowiak, Eryk J.
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Taal, Maarten W.
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Wilson, James F.
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Parkes, Julie
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Roderick, Paul J.
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1 May 2020
Kennedy, Oliver J.
96f5e8fc-f18e-4887-8504-77ffef83c7f1
Pirastu, Nicola
47c07d2c-2660-44f5-8d88-93322f81c9df
Poole, Robin
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Fallowfield, Jonathan A.
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Hayes, Peter C.
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Grzeszkowiak, Eryk J.
92e20dcd-547a-45bf-8ada-46cff582b154
Taal, Maarten W.
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Wilson, James F.
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Parkes, Julie
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Roderick, Paul J.
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Kennedy, Oliver J., Pirastu, Nicola, Poole, Robin, Fallowfield, Jonathan A., Hayes, Peter C., Grzeszkowiak, Eryk J., Taal, Maarten W., Wilson, James F., Parkes, Julie and Roderick, Paul J.
(2020)
Coffee consumption and kidney function: A Mendelian Randomization Study.
American Journal of Kidney Diseases, 75 (5), .
(doi:10.1053/j.ajkd.2019.08.025).
Abstract
Rationale & Objective: Chronic kidney disease (CKD) is a leading cause of morbidity and mortality worldwide, with limited strategies for prevention and treatment. Coffee is a complex mixture of chemicals, and consumption has been associated with mostly beneficial health outcomes. This work aimed to determine the impact of coffee consumption on kidney function. Study Design: Genome-wide association study (GWAS) and Mendelian randomization. Setting & Participants: UK Biobank baseline data were used for a coffee consumption GWAS and included 227,666 participants. CKDGen Consortium data were used for kidney outcomes and included 133,814 participants (12,385 cases of CKD) of mostly European ancestry across various countries. Exposure: Coffee consumption. Outcomes: Estimated glomerular filtration rate (eGFR), CKD GFR categories 3 to 5 (G3-G5; eGFR < 60 mL/min/1.73 m2), and albuminuria. Analytical Approach: GWAS to identify single-nucleotide polymorphisms (SNPs) associated with coffee consumption in UK Biobank and use of those SNPs in Mendelian randomization analyses of coffee consumption and kidney outcomes in CKDGen. Results: 2,126 SNPs were associated with coffee consumption (P < 5 × 10−8), 25 of which were independent and available in CKDGen. Drinking an extra cup of coffee per day conferred a protective effect against CKD G3-G5 (OR, 0.84; 95% CI, 0.72-0.98; P = 0.03) and albuminuria (OR, 0.81; 95% CI, 0.67-0.97; P = 0.02). An extra cup was also associated with higher eGFR (β = 0.022; P = 1.6 × 10−6) after removal of 3 SNPs responsible for significant heterogeneity (Cochran Q P = 3.5 × 10−15). Limitations: Assays used to measure creatinine and albumin varied between studies that contributed data and a sex-specific definition was used for albuminuria rather than KDIGO guideline recommendations. Conclusions: This study provides evidence of a beneficial effect of coffee on kidney function. Given widespread coffee consumption and limited interventions to prevent CKD incidence and progression, this could have significant implications for global public health in view of the increasing burden of CKD worldwide.
Text
Coffee_kidney_second_revision_clean
- Accepted Manuscript
More information
e-pub ahead of print date: 11 December 2019
Published date: 1 May 2020
Additional Information:
Copyright © 2019 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.
Keywords:
albuminuria, chronic kidney disease (CKD), coffee, dietary habits, eGFR (estimated glomerular filtration rate), genetic analysis, genetic epidemiology, genome-wide association study (GWAS), Mendelian randomisation, modifiable risk factor, renal function, single nucleotide polymorphism (SNP)
Identifiers
Local EPrints ID: 439647
URI: http://eprints.soton.ac.uk/id/eprint/439647
ISSN: 0272-6386
PURE UUID: 7e281107-aef0-419e-8210-805564c9eaa8
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Date deposited: 29 Apr 2020 16:30
Last modified: 18 Mar 2024 05:26
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Contributors
Author:
Oliver J. Kennedy
Author:
Nicola Pirastu
Author:
Robin Poole
Author:
Jonathan A. Fallowfield
Author:
Peter C. Hayes
Author:
Eryk J. Grzeszkowiak
Author:
Maarten W. Taal
Author:
James F. Wilson
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