ArticleJournal of translational medicine2022
Identifying causal genes for stroke via integrating the proteome and transcriptome from brain and blood.
Article in Journal of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.
- Mendelian randomization studies on ischemic stroke: a field synopsis and systematic review.Journal of translational medicine · 2025Pooled it
- Integrated Multi-Omics Identifies Core Molecular Targets in Cerebral Venous Sinus Thrombosis-Induced Brain Injury.Biomedicines · 2026Article
- Integrative proteogenomic analyses identify plasma proteins that impact the risk of ischemic stroke.Communications medicine · 2026Article
- Unveiling muscle fatigue: identifying key gene biomarkers and therapeutic targets.Molecular and cellular biochemistry · 2026Article
- Mitochondria-Related Genome-Wide Mendelian Randomization Identifies Putatively Genes for Chronic Fatigue.Molecular neurobiology · 2026Article
- Mapping the Neurovascular Unit Genetic Architecture of Early-Onset Ischemic Stroke: A Single-Cell Causal Framework for Target Discovery and Therapeutic Translation.Cellular and molecular neurobiology · 2026Article
- Causal inference of glucocorticoid signaling in non-small cell lung cancer: integrating Mendelian randomization, single-cell transcriptomics, and imaging data.NPJ precision oncology · 2026Article
- Analysing cell death patterns to predict outcomes and treatment options in patients with high-grade serous ovarian carcinoma.Scientific reports · 2026Article
- Genetic link between metabolic syndrome and coronary artery disease: Insights from genome-wide cross-trait analysis.Global medical genetics · 2026Article
- Identification of potential therapeutic targets for stroke and its subtypes by integrating proteomes and genetics from human plasma.Brain communications · 2026Article
- Proteomics and the Risk of Incident Embolic and Thrombotic Stroke.Annals of neurology · 2025Article
- Blood plasma proteome-wide association study implicates novel proteins in the pathogenesis of multiple cardiovascular diseases.Cardiovascular diabetology · 2025Article
- Single-cell transcriptome-wide Mendelian randomization and colocalization analyses uncover cell-specific mechanisms in atherosclerotic cardiovascular disease.American journal of human genetics · 2025Article
- Investigating potential drug targets for the treatment of glioblastoma: a Mendelian randomization study.BMC cancer · 2025Article
- Mapping fatigue: discovering brain regions and genes linked to fatigue susceptibility.Journal of translational medicine · 2025Article
- Proteome-wide association studies for blood lipids and comparison with transcriptome-wide association studies.HGG advances · 2025Article
- Modified human mesenchymal stromal/stem cells restore cortical excitability after focal ischemic stroke in rats.Molecular therapy : the journal of the American Society of Gene Therapy · 2025Article
- Integrating transcriptomic and polygenic risk scores to enhance predictive accuracy for ischemic stroke subtypes.Human genetics · 2025Article
- Investigating the diagnostic and prognostic significance of genes related to fatty acid metabolism in hepatocellular carcinoma.BMC gastroenterology · 2024Article
- NeuroimaGene: an R package for assessing the neurological correlates of genetically regulated gene expression.BMC bioinformatics · 2024Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGenome-wide association studies (GWAS) have revealed numerous loci associated with stroke. However, the underlying mechanisms at these loci in the pathogenesis of stroke and effective stroke drug targets are elusive. Therefore, we aimed to identify causal genes in the pathogenesis of stroke and its subtypes.
methodsUtilizing multidimensional high-throughput data generated, we integrated proteome-wide association study (PWAS), transcriptome-wide association study (TWAS), Mendelian randomization (MR), and Bayesian colocalization analysis to prioritize genes that contribute to stroke and its subtypes risk via affecting their expression and protein abundance in brain and blood.
resultsOur integrative analysis revealed that ICA1L was associated with small-vessel stroke (SVS), according to robust evidence at both protein and transcriptional levels based on brain-derived data. We also identified NBEAL1 that was causally related to SVS via its cis-regulated brain expression level. In blood, we identified 5 genes (MMP12, SCARF1, ABO, F11, and CKAP2) that had causal relationships with stroke and stroke subtypes.
conclusionsTogether, via using an integrative analysis to deal with multidimensional data, we prioritized causal genes in the pathogenesis of SVS, which offered hints for future biological and therapeutic studies.
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