Coffee intake and risk of diabetic nephropathy: a Mendelian randomization study

Fang, Jiaxi; Shu, Kai; Zhang, Di; Liang, Yan; Zhao, Hongyan; Jin, Juan; He, Qiang

doi:10.3389/fendo.2023.1169933

Cited by 7 publications

(2 citation statements)

References 55 publications

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“…The effect sizes of SNP-coffee associations increased by 50% (equivalently from 1 cup to 1.5 cups). To fulfill the first MR hypothesis, we selected SNPs that were reliably genetically variables ( P < 5 × 10 –8 ) and independently (linkage disequilibrium; LD r 2 < 0.001 and cluster window > 10,000 kb) ( 17 , 18 ) associated with exposures. Meanwhile, we calculated the F statistic ( F > 10 indicates sufficient instrumental strength) ( 14 ).…”

Section: Methodsmentioning

confidence: 99%

Association of coffee and caffeine consumption with risk and prognosis of endometrial cancer and its subgroups: a Mendelian randomization

Chen,

Liu,

et al. 2023

Front. Nutr.

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BackgroundPrevious studies have not established potential causal associations between coffee and caffeine consumption in endometrial cancer (EC) and its subgroups. Therefore, we used a two-sample MR method to assess the causal association between coffee and caffeine consumption and EC risk. We also evaluated the association between these genetically predicted exposures and EC prognosis.Materials and methodsThis study used 12 and two independent single-nucleotide polymorphisms (SNPs) associated with coffee and caffeine consumption as instrumental variables at a genome-wide significance level of p < 5 × 10–8. The EC Association Consortium (ECAC) performed a genome-wide association study (GWAS) analysis of 12,906 cases and 108,979 controls. FinnGen Consortium performed a GWAS analysis of 1,967 EC cases and 167,189 controls. The primary technique we employed was inverse-variance weighted, followed by the weighted median, MR-Egger regression, and MR robust adjusted profile score methods. We used the MR pleiotropy residual sum, Outlier test, and MR-Egger regression to assess Outlier and pleiotropic variants. We also conducted a sensitivity analysis through the leave-one-out method.ResultsGenetically predicted coffee consumption was not associated with EC and its subgroups in the ECAC, and the association was consistent in the FinnGen consortium. After excluding eight SNPs with confounding factors, the study performed sensitivity analyses, delivering consistent results. We also observed that caffeine consumption was not correlated with EC risk. As confirmed by MR analysis, selected SNPs determined that most do not significantly impact the likelihood of developing EC.ConclusionOur study indicated no convincing evidence supports coffee and caffeine consumption causing EC or impacting its prognosis. More studies are needed to validate the results.

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Section: Methodsmentioning

confidence: 99%

Association of coffee and caffeine consumption with risk and prognosis of endometrial cancer and its subgroups: a Mendelian randomization

Chen,

Liu,

et al. 2023

Front. Nutr.

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“…Sensitivity analysis consisted of the Cochran-Q test, MR-Egger intercept, Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO), and Leave-One-Out (LOO) analysis [13][14][15] . Candidate metabolites involved in acne pathogenesis were identi ed based on consistency across multiple MR techniques, absence of pleiotropy or heterogeneity, and no signi cant impact from individual SNPs.…”

Section: Primary Analysis and Sensitivity Analysismentioning

confidence: 99%

Unraveling the Causal Relationship between Blood Metabolites and Acne: A Metabolomic Mendelian Randomization Study

Li,

Huang,

Zhan

et al. 2023

Preprint

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Background: Acne is a prevalent skin disorder with potential links to metabolic dysfunction. The causal impact of blood metabolites on acne remains underexplored. Methods: Using a genome-wide association dataset, we conducted a metabolome-wide Mendelian randomization (MR) analysis on 486 blood metabolites and acne. The study included preliminary IVW analysis, multivariable MR analysis, linkage disequilibrium score (LDSC)analysis, and colocalization analysis, with reverse MR to address reverse causation. Results: We identified 12 metabolites with significant associations with acne. LDSC analysis revealed a genetic correlation between nonanoylcarnitine and acne. Colocalization analysis confirmed shared genetic variants, and metabolic pathway analysis implicated the Arginine biosynthesis pathway and the Selenocompound metabolism pathway in acne development. Conclusion:Our study provides a comprehensive understanding of the causal relationships between plasma metabolites and acne. The findings offer insights into potential biomarkers and therapeutic targets for acne treatment and emphasize the need for further research.

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The role of moderate to vigorous physical activity level and number of treatments/medications in mediating the effect of body mass index on diabetic nephropathy: a Mendelian randomization study

Hu,

Chen,

et al. 2024

Renal Failure

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Background Body mass index (BMI) is associated with diabetic nephropathy (DN). However, the mediator factors in the BMI-DN effects remain unclear. Methods Univariate and multivariate Mendelian randomization (MR) analysis were performed to estimate the association between six lifestyles (moderate to vigorous physical activity levels, years of schooling, BMI, nap during day, number of treatments/medications taken and coffee intake) and DN. MR Egger, Weighted median, Simple mode, and Weighted mode was supplemental methods to Inverse variance weighted. Sensitivity analysis included heterogeneity test, horizontal pleiotropy test, and Leave-One-Out. Additionally, mediation MR was conducted to evaluate the mediating role of lifestyles between BMI and DN. Finally, functional enrichment analysis based on the mediation MR results was performed. Results univariate and multivariate Mendelian randomization (MR) analysis were performed to estimate the association between six lifestyles (moderate to vigorous physical activity levels, years of schooling, BMI, nap during day, number of treatments/medications taken and coffee intake) and DN. MR Egger, Weighted median, Simple mode, and Weighted mode was supplemental methods to Inverse variance weighted. Sensitivity analysis included heterogeneity test, horizontal pleiotropy test, and Leave-One-Out. Additionally, mediation MR was conducted to evaluate the mediating role of lifestyles between BMI and DN. Finally, functional enrichment analysis based on the mediation MR results was performed. Conclusion our results supported mediation role of vigorous physical activity level and number of treatments/medications in BMI-DN effects.

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Coffee intake and risk of diabetic nephropathy: a Mendelian randomization study

Cited by 7 publications

References 55 publications

Association of coffee and caffeine consumption with risk and prognosis of endometrial cancer and its subgroups: a Mendelian randomization

Association of coffee and caffeine consumption with risk and prognosis of endometrial cancer and its subgroups: a Mendelian randomization

Unraveling the Causal Relationship between Blood Metabolites and Acne: A Metabolomic Mendelian Randomization Study

The role of moderate to vigorous physical activity level and number of treatments/medications in mediating the effect of body mass index on diabetic nephropathy: a Mendelian randomization study

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