Abstract. Target trial emulation prompts investigators to frame their analysis question in terms of a hypothetical clinical trial. Although this does not s

The study of causal relationships is central to scientific inquiry. Understanding what disease is, why it arises, and how it can be treated are a set of fundamentally causal questions. In this article...

This cis-mendelian randomization study aims to determine if variations in genetically predicted blood manganese are associated with risk of squamous cell carcinomas of the oral cavity, oropharynx, hyp...

Weak instruments are a well known limitation for valid causal inference in Mendelian randomization studies. In the single exposure setting, weak instrument bias can be mitigated by selecting genetic i...

Alcohol misuse is a key target of public health strategies aimed at reducing cardiovascular risk. The effect of excessive alcohol consumption on blood pressure may vary systematically with individuals...

The doubly-ranked non-linear Mendelian randomization method can yield biased estimates when instrument strength varies across individuals due to gene-environment (GxE) interactions. We propose a simpl...

Optimal selection of instrumental variables (IVs) from a single gene region in cis-Mendelian randomization is challenging as variants are highly correlated due to linkage disequilibrium (LD). Using only the lead variant is convenient but may not achieve full statistical power if multiple signals exi …

Background Alcohol consumption has been linked to cancer risk. Evidence is strongest for seven cancer types: breast, colorectum, oesophagus, liver, mouth, pharynx, and larynx. However, evidence suppor...

Colocalization is frequently performed as a step to triage findings from genetic investigations linking molecular and disease data. However, the reliability and consistency of the various colocalizati...

Many Mendelian randomization (MR) papers have been conducted only in people of European ancestry, limiting transportability of results to the global population. Expanding MR to diverse ancestry groups...

Background: Proprotein convertase subtilisin/kexin type 9 (PCSK9) is well known for its causal effects on the lipid metabolism. A recent study identified an association between rs562556 within PCSK9 a...

The community dedicated to leading and promoting the use of statistics within the healthcare industry for the benefit of patients.

Fine-mapping is now a standard post-GWAS analysis, but it has been shown to be potentially inaccurate for large meta-analysis GWAS. We show how this can be caused by variable amounts of statistical in...

A cautionary note on the naive use of general-population biobanks to study pulmonary arterial hypertension, with a focus on Mendelian randomization

Mendelian randomization (MR) uses genetic variants as instrumental variables to make causal claims. Standard MR approaches typically report a single population-averaged estimate, limiting their abilit...

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Like all medical fields, epidemiology is a discipline that can be practiced effectively only in partnership with others. While data analysis may seem like a solitary pursuit, epidemiological datasets ...

Ketogenic diets are popular among people aiming for weight management. Ketone supplementation has been linked to improved cognitive performance and increased risk of insulin resistance. We aim to iden...

Background and aim Mendelian Randomization (MR) is a widely used tool to estimate causal effects using genetic variants as instrumental variables. MR is limited to cross-sectional summary statistics o...

This methodological article provides a clear and accessible overview of Mendelian randomization for oral health researchers, emphasizing the core assumptions needed for credible causal inference. Foc....

This randomized clinical trial assesses the effects of subcutaneous semaglutide on alcohol consumption in adults with alcohol use disorder.

Background: Statins lower low-density lipoprotein cholesterol (LDL-C) and reduce the risk of coronary artery disease (CAD). However, they also increase the risk of type 2 diabetes (T2D). Methods: We c...

Book on Mendelian randomization authored by Stephen Burgess and Simon G Thompson and published by Chapman and Hall/CRC Press

AbstractBackground. Immortal time is a period of follow-up during which death or the study outcome cannot occur by design. Bias from immortal time has been