Human genetics implicate thromboembolism in the pathogenesis of long COVID in individuals of European ancestry Article Swipe
Art Schuermans
,
Andreas Verstraete
,
Vilma Lammi
,
Tomoko Nakanishi
,
Maddalena Ardissino
,
Jef Van den Eynde
,
Benjamin B. Sun
,
Marios K. Georgakis
,
Johan Van Weyenbergh
,
Adam J. Lewandowski
,
Betty Raman
,
Hanna M. Ollila
,
Stephen Burgess
,
Pradeep Natarajan
,
Michael C. Honigberg
,
Kathleen Freson
,
Thomas Vanassche
,
Peter Verhamme
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.05.17.24307553
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.05.17.24307553
SARS-CoV-2 infection can result in long COVID, characterized by post-acute symptoms from multiple organs. Current hypotheses on mechanisms underlying long COVID include persistent inflammation and thromboembolism; however, compelling evidence from humans is limited and causal associations remain unclear. Here, we tested the association of thromboembolism-related genetic variants with long COVID in the Long COVID Host Genetics Initiative ( n cases =3,018; n controls =994,582). Primary analyses revealed that each unit increase in the log-odds of genetically predicted venous thromboembolism risk was associated with 1.21-fold odds of long COVID (95%CI: 1.08-1.35; P =1.2×10 -3 ). This association was independent of acute COVID-19 severity, robust across genetic instruments and methods, and replicated in external datasets for both venous thromboembolism and long COVID. Downstream analyses using gene-specific instruments, along with protein and gene expression data, suggested the protease-activated receptor 1 (PAR-1) as a potential molecular contributor to long COVID. These findings provide human genetic evidence implicating thromboembolism in long COVID pathogenesis.
Related Topics
Concepts
Coronavirus disease 2019 (COVID-19)
Mediator
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
2019-20 coronavirus outbreak
Coagulation
Computational biology
Virology
Biology
Medicine
Pathology
Internal medicine
Outbreak
Disease
Infectious disease (medical specialty)
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2024.05.17.24307553
- https://www.medrxiv.org/content/medrxiv/early/2024/05/18/2024.05.17.24307553.full.pdf
- OA Status
- green
- Cited By
- 1
- References
- 97
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4397028579
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4397028579Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2024.05.17.24307553Digital Object Identifier
- Title
-
Human genetics implicate thromboembolism in the pathogenesis of long COVID in individuals of European ancestryWork title
- Type
-
preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-05-18Full publication date if available
- Authors
-
Art Schuermans, Andreas Verstraete, Vilma Lammi, Tomoko Nakanishi, Maddalena Ardissino, Jef Van den Eynde, Benjamin B. Sun, Marios K. Georgakis, Johan Van Weyenbergh, Adam J. Lewandowski, Betty Raman, Hanna M. Ollila, Stephen Burgess, Pradeep Natarajan, Michael C. Honigberg, Kathleen Freson, Thomas Vanassche, Peter VerhammeList of authors in order
- Landing page
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https://doi.org/10.1101/2024.05.17.24307553Publisher landing page
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https://www.medrxiv.org/content/medrxiv/early/2024/05/18/2024.05.17.24307553.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.medrxiv.org/content/medrxiv/early/2024/05/18/2024.05.17.24307553.full.pdfDirect OA link when available
- Concepts
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Coronavirus disease 2019 (COVID-19), Mediator, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), 2019-20 coronavirus outbreak, Coagulation, Computational biology, Virology, Biology, Medicine, Pathology, Internal medicine, Outbreak, Disease, Infectious disease (medical specialty)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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97Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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