ArticleBlood advances2026
Population-scale analysis reveals inherited C1-inhibitor deficiency is a polyphenotypic thrombotic disorder.
Article in Blood advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed.
- Hemophilia and hereditary angioedema: parallel therapeutic advances in genetic diseases of serine protease pathways.Research and practice in thrombosis and haemostasis · 2026Review
- Exploring the role of C1-inhibitor in thrombotic diseases.Blood advances · 2026Article
- Therapeutic Potential of C1-Inhibitor in Vascular Diseases and Beyond.Arteriosclerosis, thrombosis, and vascular biology · 2026Review
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Authors and funding
16 authors.
Funding
Abstract
abstractDeficiency in C1 inhibitor (C1INH/SERPING1) is canonically associated with hereditary angioedema (HAE-C1INH) but not thrombosis. To determine the thrombosis risk conferred by the loss of C1INH in the general population, we studied genetically-defined C1INH deficiency across 635 823 participants. Functionally deleterious germ line coding variation in the SERPING1 gene was rare (∼1:10 000), indicating strong genetic constraint. SERPING1 variant carriers had significantly lower plasma C1INH levels than noncarriers, as determined by Olink proteomics (P = .005) and confirmed by enzyme-linked immunosorbent assay in an independent cohort (P< .001). After adjustment for sex and ancestry, SERPING1 haploinsufficiency was associated with a significantly increased risk of venous thromboembolism (hazard ratio [HR], 4.64; 95% confidence interval [CI], 2.08-10.34; P = .0002), noncardioembolic ischemic stroke (HR, 3.29; 95% CI, 1.06-10.19; P = .039), and peripheral artery disease (HR, 3.10; 95% CI, 1.29-7.45; P = .011), with a trend toward association with myocardial infarction (HR, 2.77; 95% CI, 0.89-8.61; P = .077). Effect size estimates for all 4 thrombosis phenotypes increased when analysis was restricted to only the most functionally deleterious variants. These findings highlight the potential of population-scale data sets to address fundamental questions related to thrombosis risk.
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