A practical guide for nephrologist peer reviewers: understanding and appraising Mendelian randomization studies

Renal Failure, Год журнала: 2025, Номер 47(1)

Опубликована: Янв. 13, 2025

Identifying risk factors for disease onset and progression has been a core focus in nephrology research. Mendelian Randomization (MR) emerged as powerful genetic epidemiological approach, utilizing genome-wide association studies (GWAS) to establish causal relationships between modifiable kidney outcomes. MR uses variants instrumental variables infer exposures This method leverages the natural randomization of balance confounders, akin matched cohorts observational The rapid increase on poses challenges journals peer reviewers, especially clinicians unfamiliar with methodology. High-quality use strong, well-validated instruments clear biological relevance, thoroughly testing pleiotropy confounding using methods like MR-Egger. Sensitivity analyses, such MR-PRESSO, should ensure findings remain consistent across various assumptions. Effect sizes confidence intervals be reported discussed within established mechanisms. Additionally, limitations must transparently addressed, recommendations replication future studies, strengthen findings. article guides readers understanding application identifying high-quality helping peers avoid pitfalls while seizing new opportunities advancing

Язык: Английский

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Discovery of drug targets for heart failure with preserved and reduced ejection fraction

Nature Cardiovascular Research, Год журнала: 2025, Номер unknown

Опубликована: Фев. 6, 2025

Язык: Английский

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Broad Evidence Triangulation Should Be Established for a Valid and Robust Causal Relation Between Air Pollution and Health Outcome

CNS Neuroscience & Therapeutics, Год журнала: 2025, Номер 31(1)

Опубликована: Янв. 1, 2025

This letter aims to provide valuable insights into broader evidence triangulation (i.e., a well-designed primary association analysis followed by elaborate approaches control residual confounding effects from various design and modeling perspectives) for clarifying the between air pollutants health outcomes. It also highlights importance of selecting appropriate instrumental variable instrument-based causal modeling, emphasizing that all questions can be effectively addressed within Mendelian randomization framework.

Язык: Английский

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Insights into drug adverse reactions prediction through Mendelian randomization: a review

Postgraduate Medical Journal, Год журнала: 2025, Номер unknown

Опубликована: Янв. 31, 2025

Abstract Adverse drug reactions pose a significant threat to patient safety and public health often become apparent only after widespread clinical use. Mendelian randomization (MR) analysis is valuable tool that can be used infer causality by using genetic variants as instrumental variables, which predict the occurrence of adverse before they occur. Compared with traditional observational studies, MR Analysis reduce potential bias confounding factors. This article reviews principles its application in prediction reactions, challenges future directions, summarizes how harness power this innovative epidemiological method put us at forefront improving assessment personalized medicine.

Язык: Английский

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Mendelian Randomization for Dermatology Research

JAMA Dermatology, Год журнала: 2025, Номер 161(3), С. 328 - 328

Опубликована: Фев. 5, 2025

This JAMA Network Insight describes the use of mendelian randomization, including key assumptions that must be met, in dermatology research.

Язык: Английский

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Methodological and Interpretational Issues in PsyRiskMR Database

Biological Psychiatry, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

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Attention to the misuse of Mendelian randomisation in medical research

eGastroenterology, Год журнала: 2025, Номер 3(1), С. e100187 - e100187

Опубликована: Фев. 1, 2025

Язык: Английский

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Comment on “Neurotrophin-3 as a mediator in the link between PM2.5 exposure and psychiatric disorders: A Mendelian randomization study”

Ecotoxicology and Environmental Safety, Год журнала: 2025, Номер 293, С. 118037 - 118037

Опубликована: Март 1, 2025

Язык: Английский

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Bayesian causal graphical model for joint Mendelian randomization analysis of multiple exposures and outcomes

The American Journal of Human Genetics, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Current Mendelian randomization (MR) methods do not reflect complex relationships among multiple exposures and outcomes as is typical for real-life applications. We introduce MrDAG, a Bayesian causal graphical model summary-level MR analysis to detect dependency relations within the exposures, outcomes, between them improve effects estimation. MrDAG combines three inference strategies. It uses genetic variation instrumental variables account unobserved confounders. performs structure learning orientate direction of dependencies outcomes. Finally, interventional calculus employed derive principled effect estimates. In directionality assumed known, i.e., can only be potential causes no reverse causation allowed. simulation study, outperforms recently proposed one-outcome-at-a-time multi-response multi-variable well models under constraint on edges' orientation from was motivated unravel how lifestyle behavioral impact mental health. highlights first, education second, smoking effective points intervention given their important downstream also enables identification novel path liability schizophrenia cognition, demonstrating pathways toward These insights would have been impossible delineate without modeling paths at once.

Язык: Английский

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Loneliness and all cause mortality in Australian women aged 45 years and older: causal inference analysis of longitudinal data

BMJ Medicine, Год журнала: 2025, Номер 4(1), С. e001004 - e001004

Опубликована: Апрель 1, 2025

Objective To examine the causal effects of loneliness on mortality among Australian women aged 45 years and older. Design Causal inference analysis longitudinal data. Participants A population based sample older (n=11 412). Main outcome measures Targeted maximum likelihood estimations were used to analyse relationship between all cause over 18 years. The adjusted risk death associated with total number waves (loneliness persistency) consecutive chronicity) was presented using ratios differences 99.5% confidence intervals (CIs). Results association reported showed a dose-dependent pattern. Compared who did not report in any wave, people at two, four, six had an incrementally higher dying during follow-up period: ratio 1.49 (99.5% CI 1.26 1.75) two waves, 2.18 (1.79 2.66) four 3.15 (2.35 4.23) waves. difference similar trend excess experiencing for compared those (10.86% 10.58% 11.15%)). Similar trends found when experienced across Conclusions Loneliness seems be causally linked relationship. Acknowledging as independent health underscores importance screening incorporating public interventions into healthcare practices.

Язык: Английский

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