Related Experiment Video
Updated: Oct 6, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Reporting methodological issues of the mendelian randomization studies in health and medical research: a systematic
Shabab Noor Islam1, Tanvir Ahammed1, Aniqua Anjum1
1Department of Statistics, Shahjalal University of Science and Technology, 3114, Sylhet, Bangladesh.
Background:
Mendelian randomization (MR) studies using Genetic risk scores (GRS) as an instrumental variable (IV) have increasingly been used to control for unmeasured confounding in observational healthcare databases. However, proper reporting of methodological issues is sparse in these studies. We aimed to review published papers related to MR studies and identify reporting problems.
Methods:
We conducted a systematic review using the clinical articles published between 2009 and 2019. We searched PubMed, Scopus, and Embase databases. We retrieved information from every MR study, including the tests performed to evaluate assumptions and the modelling approach used for estimation. Using our inclusion/exclusion criteria, finally, we identified 97 studies to conduct the review according to the PRISMA statement.
Results:
Only 66 (68%) of the studies empirically verified the first assumption (Relevance assumption), and 40 (41.2%) studies reported the appropriate tests (e.g., R2, F-test) to investigate the association. A total of 35.1% clearly stated and discussed theoretical justifications for the second and third assumptions. 30.9% of the studies used a two-stage least square, and 11.3% used the Wald estimator method for estimating IV. Also, 44.3% of the studies conducted a sensitivity analysis to illuminate the robustness of estimates for violations of the untestable assumptions.
Conclusions:
We found that incompleteness of the justification of the assumptions for the instrumental variable in MR studies was a common problem in our selected studies. This may misdirect the findings of the studies.
Insights
Mendelian randomization (MR) studies often lack proper reporting of instrumental variable (IV) assumptions. This review highlights common issues in genetic risk score (GRS) based MR studies, potentially misdirecting findings.
Area of Science:
- Epidemiology
- Genetics
- Biostatistics
Background:
- Mendelian randomization (MR) studies utilize genetic risk scores (GRS) as instrumental variables (IV) to address unmeasured confounding in observational research.
- Despite the increasing use of MR, there is a notable scarcity in the reporting of methodological details and potential issues.
- This systematic review addresses the need for improved transparency in MR study reporting.
Purpose of the Study:
- To systematically review published Mendelian randomization (MR) studies.
- To identify and categorize common reporting problems related to the assumptions of instrumental variables (IV).
- To assess the methodological rigor in the application of GRS in MR analyses.
Main Methods:
- A systematic review of clinical articles published between 2009 and 2019 was conducted.
- Searches were performed across PubMed, Scopus, and Embase databases.
- Ninety-seven MR studies were included, adhering to PRISMA guidelines, with data extraction on assumption verification, statistical methods, and sensitivity analyses.
Main Results:
- Only 68% of studies empirically verified the relevance assumption, with 41.2% reporting appropriate statistical tests (R2, F-test).
- Theoretical justifications for the second and third IV assumptions were clearly stated and discussed in only 35.1% of studies.
- Reporting varied for estimation methods (two-stage least square: 30.9%, Wald estimator: 11.3%) and sensitivity analyses (44.3%).
Conclusions:
- Incompleteness in justifying instrumental variable assumptions is a prevalent issue in MR studies.
- This lack of rigorous reporting may lead to misinterpretation and misdirection of research findings.
- Enhanced transparency and adherence to reporting guidelines are crucial for the validity of MR research.
More Related Videos
07:15Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
08:36Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
Published on: April 19, 2024
Related Concept Videos
Randomized Experiments
Simple randomization
Simple...
Regression Toward the Mean
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Bias in Epidemiological Studies
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...