ArticleJournal of thrombosis and haemostasis : JTH2022
Multi-phenotype analyses of hemostatic traits with cardiovascular events reveal novel genetic associations.
Article in Journal of thrombosis and haemostasis : JTH, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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
19 citing papers in PubMed.
- Historical review: more than two decades understanding the genetic architecture of hemostasis and thrombosis.Journal of thrombosis and haemostasis : JTH · 2026Review
- Insights from GWAS, TWAS, and DEG analysis: CDKN2B-AS1, MAP3K4, and P2RX2-encoded P2X2 receptor identified as potential therapeutic targets for ischemic heart disease in Russian adults and long-living individuals.Frontiers in cardiovascular medicine · 2026Article
- Mendelian randomization study implicates inflammaging biomarkers in retinal vasculature, cardiovascular diseases, and longevity.Science advances · 2025Article
- Genome-wide association and linkage analysis of histidine-rich glycoprotein identifies common variants associated with plasma histidine-rich glycoprotein concentrations.Research and practice in thrombosis and haemostasis · 2025Article
- Genome-Wide Association Study of Temporomandibular Disorder-Related Pain in Finnish Populations.Journal of oral rehabilitation · 2025Article
- The Role of Somatic Mutations in Ischemic Stroke: CHIP's Impact on Vascular Health.Neurology international · 2025Review
- The Genetic Variants Influencing Hypertension Prevalence Based on the Risk of Insulin Resistance as Assessed Using the Metabolic Score for Insulin Resistance (METS-IR).International journal of molecular sciences · 2024Article
- Article
- The Role of Furin and Its Therapeutic Potential in Cardiovascular Disease Risk.International journal of molecular sciences · 2024Review
- A genetic association study of circulating coagulation factor VIII and von Willebrand factor levels.Blood · 2024Article
- Characterization of caffeine response regulatory variants in vascular endothelial cells.eLife · 2024Article
- Genetic architecture of cardiac dynamic flow volumes.Nature genetics · 2024Article
- Mitochondrial related variants associated with cardiovascular traits.Frontiers in physiology · 2024Article
- Article
- Intracellular tPA-PAI-1 interaction determines VLDL assembly in hepatocytes.Science (New York, N.Y.) · 2023Article
- Antithrombin, Protein C, and Protein S: Genome and Transcriptome-Wide Association Studies Identify 7 Novel Loci Regulating Plasma Levels.Arteriosclerosis, thrombosis, and vascular biology · 2023Article
- Association betweenInternational journal of molecular sciences · 2023Article
- Microvascular and macrovascular complications of type 2 diabetes mellitus: Exome wide association analyses.Frontiers in endocrinology · 2023Article
- Multi-phenotype analyses of hemostatic traits with cardiovascular events reveal novel genetic associations.Journal of thrombosis and haemostasis : JTH · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundMulti-phenotype analysis of genetically correlated phenotypes can increase the statistical power to detect loci associated with multiple traits, leading to the discovery of novel loci. This is the first study to date to comprehensively analyze the shared genetic effects within different hemostatic traits, and between these and their associated disease outcomes.
objectivesTo discover novel genetic associations by combining summary data of correlated hemostatic traits and disease events.
methodsSummary statistics from genome wide-association studies (GWAS) from seven hemostatic traits (factor VII [FVII], factor VIII [FVIII], von Willebrand factor [VWF] factor XI [FXI], fibrinogen, tissue plasminogen activator [tPA], plasminogen activator inhibitor 1 [PAI-1]) and three major cardiovascular (CV) events (venous thromboembolism [VTE], coronary artery disease [CAD], ischemic stroke [IS]), were combined in 27 multi-trait combinations using metaUSAT. Genetic correlations between phenotypes were calculated using Linkage Disequilibrium Score Regression (LDSC). Newly associated loci were investigated for colocalization. We considered a significance threshold of 1.85 × 10
resultsAcross the 27 multi-trait analyses, we found 4 novel pleiotropic loci (XXYLT1, KNG1, SUGP1/MAU2, TBL2/MLXIPL) that were not significant in the original individual datasets, were not described in previous GWAS for the individual traits, and that presented a common associated variant between the studied phenotypes.
conclusionsThe discovery of four novel loci contributes to the understanding of the relationship between hemostasis and CV events and elucidate common genetic factors between these traits.
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.