ArticleAmerican journal of human genetics2025
TEMR: Trans-ethnic mendelian randomization method using large-scale GWAS summary datasets.
Article in American journal of human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Genetic perspectives on the comorbidity of anxiety and mood disorders with cardiovascular disease.Nature cardiovascular research · 2026Review
- Article
- Causal relationships between somatic movement, brain structures, and mental well-being: A multi-stage Mendelian randomization study.Psychological medicine · 2026Article
- MRBEE-TL: improving causal effect estimation in multi-ancestry multivariable Mendelian randomization with transfer learning.Genome biology · 2026Article
- An integrative association analysis for complex diseases in underrepresented groups by leveraging the trans-ethnic genetic similarity.Briefings in bioinformatics · 2026Article
- Systematic druggable genome-wide Mendelian randomization identifies therapeutic targets for gout.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Disentangling Nicotine vs Non-Nicotine Components of Tobacco Exposure in Psoriasis and Psoriatic Arthritis: A Multivariable and Trans-Ethnic Mendelian Randomization Study.Clinical, cosmetic and investigational dermatology · 2026Article
- CCS-mediated mechanistic link between gestational diabetes mellitus and carpal tunnel syndrome: a multi-omics MR framework.Frontiers in immunology · 2026Article
- Gut Microbiota Influences Meningioma Pathogenesis via Circulating Metabolites: A Two-Sample Mendelian Randomization Study.Brain and behavior · 2025Article
- Identification and replication of sex-dimorphic protein quantitative trait loci across multiple ancestries and their associations with diseases.Scientific reports · 2025Article
- Improving causal effect estimation in multi-ancestry multivariable Mendelian randomization with transfer learning.bioRxiv : the preprint server for biology · 2025Article
- Cross-sectional, interventional, and causal investigation of insulin sensitivity using plasma proteomics in diverse populations.Metabolism: clinical and experimental · 2025Article
- Human Genetics Informing Drug Development in Cardiovascular Disease: Interleukin-6 Signaling as a Case Study.Circulation. Genomic and precision medicine · 2025Review
- Multi-omics analysis reveals glutathione metabolism-related immune suppression and constructs a prognostic model in lung adenocarcinoma.Frontiers in immunology · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Available large-scale genome-wide association study (GWAS) summary datasets predominantly stem from European populations, while sample sizes for other ethnicities, notably Central/South Asian, East Asian, African, Hispanic, etc., remain comparatively limited, resulting in low precision of causal effect estimations within these ethnicities when using Mendelian randomization (MR). In this paper, we propose a trans-ethnic MR method, TEMR, to improve the statistical power and estimation precision of MR in a target population that is underrepresented, using trans-ethnic large-scale GWAS summary datasets. TEMR incorporates trans-ethnic genetic correlation coefficients through a conditional likelihood-based inference framework, producing calibrated p values with substantially improved MR power. In the simulation study, compared with other existing MR methods, TEMR exhibited superior precision and statistical power in causal effect estimation within the target populations. Finally, we applied TEMR to infer causal relationships between concentrations of 16 blood biomarkers and the risk of developing five diseases (hypertension, ischemic stroke, type 2 diabetes, schizophrenia, and major depression disorder) in East Asian, African, and Hispanic/Latino populations, leveraging biobank-scale GWAS summary data obtained from individuals of European descent. We found that the causal biomarkers were mostly validated by previous MR methods, and we also discovered 17 causal relationships that were not identified using previously published MR methods.
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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 Socratic graph.