Data · dataset · 2026
Comparison and application of Mendelian Randomization-based Mediation Analysis
Listed in ScienceDB
Description
Objective To evaluate the performance of four Mendelian randomization-based (MR-based) mediation analysis methods, including two-step epigenetic MR (two step MR), multivariable MR (MVMR), mediation analysis framework through GWAS summary data integration with bias correction (MAGIC), and path specific effect MR (PSE-MR), through simulation and real-world validation.
Method
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Simulations varied different direct effects, indirect effects, and pleiotropic effects. Performance was assessed using average causal effect estimates, standard deviation, root mean square error, type I error rate, statistical power, and 95% confidence interval (CI) coverage. The mediating role of smoking in the relationship between educational attainment and attention-deficit/hyperactivity disorder (ADHD) was explored.
Results Without pleiotropy, MAGIC performed well, achieving 95% CI coverage rates of 94.0%~95.7% for direct and indirect effects with approximately 100% power. When pleiotropy affected mediator or outcome, MAGIC maintained 95% CI coverage rate of 94.5%~96.1% across all three effects. When pleiotropy affected both the mediator and outcome, PSE-MR demonstrated >95% power for direct effects.
MAGIC revealed that smoking mediated 9.006% (3.381%, 14.632%) of the association between educational attainment and ADHD. Conclusion MAGIC is recommended for scenarios without pleiotropy or with mediator/outcome-specific pleiotropy. PSE-MR is preferred when pleiotropy affects both mediator and outcome.
Improving educational attainment and reducing smoking may help lower the risk of ADHD.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.j00253.05072 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Bioinformatics and computational biology 72% · Simulation 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.j00253.05072 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3102 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (72%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |