Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

MRSamePopTest: introducing a simple falsification test for the two-sample mendelian randomisation 'same population' assumption.

BMC research notes - 17 Jan 2024

Woolf Benjamin, Mason Amy, Zagkos Loukas, Sallis Hannah, Munafò Marcus R, Gill Dipender

Abstract excerpt

Two-sample MR is an increasingly popular method for strengthening causal inference in epidemiological studies. For the effect estimates to be meaningful, variant-exposure and variant-outcome associations must come from comparable populations. A recent systematic review of two-sample MR studies found that, if assessed at all, MR studies evaluated this assumption by checking that the genetic association studies had...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Causality
Share to Genetic Association Studies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Mendelian Randomization Analysis

Share to Phenotype

Source

Open in PubMed Open full text

Identifiers

PMID: 38233927
DOI: 10.1186/s13104-024-06684-0
PMCID: PMC10795421

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

MRSamePopTest: introducing a simple falsification test for the two-sample mendelian randomisation 'same population' assumption.PMID 38233927Read ↗

The use of two-sample methods for Mendelian randomization analyses on single large datasets.Semantic proximity Read ↗

Re-evaluating the robustness of Mendelian randomisation to measurement errorSemantic proximity Read ↗

Exploiting collider bias to apply two-sample summary data Mendelian randomization methods to one-sample individual level data.Semantic proximity Read ↗

Effect of selection bias on two sample summary data based Mendelian randomization.Semantic proximity Read ↗

Checking Genetic Homogeneity Between Two Samples Using Summary Statistics With Application to Mendelian Randomization.Semantic proximity Read ↗

Mind the gap: Characterizing bias due to population mismatch in two-sample Mendelian randomization.Semantic proximity Read ↗

Exploiting collider bias to apply two-sample summary data Mendelian randomization methods to one-sample individual level dataSemantic proximity Read ↗

Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants.Semantic proximity Read ↗

STrengthening the REporting of Genetic Association studies (STREGA)--an extension of the STROBE statement.Semantic proximity Read ↗

STrengthening the REporting of Genetic Association Studies (STREGA)--an extension of the STROBE statement.Semantic proximity Read ↗

STrengthening the REporting of Genetic Association Studies (STREGA): an extension of the STROBE statement.Semantic proximity Read ↗

Simulated sample splitting approach to address biases due to instrument selection and participant overlap in two-sample Mendelian Randomization studiesSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.