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Population-scale analysis reveals inherited C1-inhibitor deficiency is a polyphenotypic thrombotic disorder

  • Alfonso Rodriguez Espada
  • , Amelia K. Haj
  • , Sean J. Jurgens
  • , Harish Eswaran
  • , Linda Sundler Björkman
  • , Justine Ryu
  • , Sharjeel Chaudhry
  • , Satoshi Koyama
  • , Xin Wang
  • , Seung Hoan Choi
  • , Simone Sanna-Cherchi
  • , Aleena Banerji
  • , Joel T. Rämö
  • , Patrick T. Ellinor
  • , Steven P. Grover*
  • , Pavan K. Bendapudi*
  • *Corresponding author for this work
  • Broad Institute of MIT and Harvard
  • Beth Israel Deaconess Medical Center
  • Massachusetts General Hospital
  • Harvard University
  • University of Amsterdam
  • University of North Carolina at Chapel Hill
  • Lund University
  • Yale University
  • Columbia University
  • University of Helsinki

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Deficiency 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.

Original languageEnglish
Pages (from-to)931-938
Number of pages8
JournalBlood
Volume10
Issue number3
DOIs
Publication statusPublished - 10 Feb 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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