Evidence map›Paper›PMID 39809435›Full record

ReviewJournal of obesity & metabolic syndrome2025

A Review of Mendelian Randomization: Assumptions, Methods, and Application to Obesity-Related Diseases.

Seungjae Lee, Woojoo Lee

Abstract readReview
In one paragraph

Review in Journal of obesity & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Seungjae LeeInstitute of Health and Environment, Seoul National University, Seoul, Korea.
Woojoo LeeInstitute of Health and Environment, Seoul National University, Seoul, Korea.ORCID https://orcid.org/0000-0001-7447-7045

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mendelian randomization (MR) is a statistical method that uses genetic variants as instrumental variables to estimate the causal effect of exposure on an outcome in the presence of unmeasured confounding. In this review, we argue that it is crucial to acknowledge the instrumental variable assumptions in MR analysis. We describe widely used MR methods, using an example from obesity-related metabolic disorders. We describe situations in which instrumental variable assumptions are violated and explain how to evaluate these violations and employ robust methods for accommodating such violations.

Indexed as

CausalityConfounding factorsepidemiologicGenetic pleiotropyGenetic variationGenome-wide association studyHuman geneticsMendelian randomization analysis

Identifiers

PMID39809435
PMCPMC11799604

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.