Coffee and Caffeine Consumption and Risk of Kidney Stones: A Mendelian Randomization Study
Yuan S, Larsson SC
American journal of kidney diseases : the official journal of the National Kidney Foundation · 87 citations
How it was studied
- Design
- Meta-analysis (indexed by PubMed)
- Studied in
- People
- Main outcome
- Clinical events such as disease or death
Who paid for it
- Funding
- Independent funding
- Government
- Vetenskapsrådet
- Government
- Forskningsrådet om Hälsa, Arbetsliv och Välfärd
- Grants
- Vetenskapsrådet (2019-00977); Forskningsrådet om Hälsa, Arbetsliv och Välfärd (2018-00123)
Based on 2 listed funder(s).
Publication
- Published
- 2021-10-21 · Am J Kidney Dis · vol. 79 · issue 1 · pp. 9–14.e1
- Publisher
- Elsevier BV
- Cited
- 111 citations · more than 99% of similar papers · 11.4× the field average
- Impact
- Top 10% most cited in its field
- References
- 35 works
- Access
- Open access (hybrid journal) · CC-BY
- Research areas
- Kidney Stones and Urolithiasis Treatments · Coffee research and impacts · Chronic Kidney Disease and Diabetes
- Keywords
- Mendelian randomization, Medicine, Caffeine, Kidney stones, Observational study, Odds ratio, Randomization, Internal medicine, Randomized controlled trial, Genetics, Biology, Genetic variants, Gene, Genotype
- MeSH
- humans, kidney calculi, caffeine, risk factors, coffee, genome-wide association study, mendelian randomization analysis
2 authors
From SE
- Shuai YuanKarolinska Institutet
- Susanna C. Larsson · correspondingUppsala University; Karolinska Institutet
Abstract
Rationale & objective
Coffee and caffeine consumption have been associated with a lower risk of kidney stones in observational studies. We conducted a Mendelian randomization study to assess the causal nature of these associations.
Study design
Mendelian randomization analysis.
Setting & participants
Independent genetic variants associated with coffee and caffeine consumption at the genome-wide significance level were selected from previously published meta-analyses as instrumental variables. Summary-level data for kidney stones were obtained from the UK Biobank study (6,536 cases and 388,508 noncases) and the FinnGen consortium (3,856 cases and 172,757 noncases).
Exposure
Genetically predicted coffee and caffeine consumption.
Outcome
Clinically diagnosed kidney stones.
Analytical approach
Mendelian randomization methods were used to calculate causal estimates. Estimates from the 2 sources were combined using the fixed-effects meta-analysis methods.
Results
Genetically predicted coffee and caffeine consumption was associated with a lower risk of kidney stones in the UK Biobank study, and the associations were directionally similar in the FinnGen consortium. The combined odds ratio of kidney stones was 0.60 (95% CI, 0.46-0.79; P < 0.001) per a genetically predicted 50% increase in coffee consumption and 0.81 (95% CI, 0.69-0.94; P = 0.005) per a genetically predicted 80-mg increase in caffeine consumption.
Limitations
Genetic influence on kidney stone risk via pathways not involving coffee or caffeine.
Conclusions
Using genetic data, this study provides evidence that higher coffee and caffeine consumption may cause a reduction in kidney stones.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY).
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