ArticleMolecular genetics and genomics : MGG2026
Cross-population proteome-wide mendelian randomization study identifies likely causal proteins for cardiovascular diseases.
Article in Molecular genetics and genomics : MGG, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Blood proteins may play causal roles in cardiovascular diseases (CVDs) such as heart failure (HF) and peripheral artery disease (PAD). Proteome-wide Mendelian randomization (MR) has been widely used to prioritize drug targets for CVD in European populations, but its application to non-European populations remains limited. We conducted a proteome-wide MR analysis to evaluate the potential causal effects of 2,922 plasma proteins on five CVDs-atrial fibrillation (AF), coronary artery disease (CAD), HF, ischemic heart disease (IHD), and PAD. Analyses were performed across African (n = 931), East Asian (n = 262), and European (n = 10,840) populations using genetic instrument data from the UK Biobank cohort. Significant associations were further examined with genetic colocalization to strengthen causal inference. Using MR and colocalization analyses, we identified 53 significant protein-CVD associations across multi-populations, including 16 in African, six in East Asian, and 31 in European populations, respectively. Cross-population comparisons revealed four protein-CVD associations unique to African population and another four specific to East Asian population. Integration with clinical trial data prioritized 14 protein-disease pairs as promising candidates for therapeutic development or drug repurposing. Our findings highlight the value of proteome-wide MR in evaluating drug target applicability across populations. Several protein-disease associations were population-specific, emphasizing the need for inclusive genetic research to inform precision medicine in CVD prevention and treatment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.