Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Multi-ancestry polygenic risk scores for venous thromboembolism

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Preprint
en
2024

Multi-ancestry polygenic risk scores for venous thromboembolism

0 Datasets

0 Files

en
2024
DOI: 10.1101/2024.01.09.24300914

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
David M. Smadja
David M. Smadja

Université René Descartes (Paris V)

Verified
Yon Ho Jee
Yon Ho Jee
Florian Thibord
+67 more

Abstract

Abstract Venous thromboembolism (VTE) is a significant contributor to morbidity and mortality, with large disparities in incidence rates between Black and White Americans. Polygenic risk scores (PRSs) limited to variants discovered in genome-wide association studies in European-ancestry samples can identify European-ancestry individuals at high risk of VTE. However, there is limited evidence on whether high-dimensional PRS constructed using more sophisticated methods and more diverse training data can enhance the predictive ability and their utility across diverse populations. We developed PRSs for VTE using summary statistics from the International Network against Venous Thrombosis (INVENT) consortium GWAS meta-analyses of European- (71,771 cases and 1,059,740 controls) and African-ancestry samples (7,482 cases and 129,975 controls). We used LDpred2 and PRSCSx to construct ancestry-specific and multi-ancestry PRSs and evaluated their performance in an independent European- (6,261 cases and 88,238 controls) and African-ancestry sample (1,385 cases and 12,569 controls). Multi-ancestry PRSs with weights tuned in European- and African-ancestry samples, respectively, outperformed ancestry-specific PRSs in European- (PRSCSX EUR : AUC=0.61 (0.60, 0.61), PRSCSX_combined EUR : AUC=0.61 (0.60, 0.62)) and African-ancestry test samples (PRSCSX AFR : AUC=0.58 (0.57, 0.6), PRSCSX_combined AFR : AUC=0.59 (0.57, 0.60)). The highest fifth percentile of the best-performing PRS was associated with 1.9-fold and 1.68-fold increased risk for VTE among European- and African-ancestry subjects, respectively, relative to those in the middle stratum. These findings suggest that the multi-ancestry PRS may be used to identify individuals at highest risk for VTE and provide guidance for the most effective treatment strategy across diverse populations.

How to cite this publication

Yon Ho Jee, Yon Ho Jee, Florian Thibord, Florian Thibord, Alicia Domínguez Estirado, Alicia Domínguez Estirado, Corriene Sept, Corriene Sept, Kristin Boulier, Kristin Boulier, Vidhya Venkateswaran, Vidhya Venkateswaran, Yi Ding, Yi Ding, Tess Cherlin, Tess Cherlin, Shefali S. Verma, Shefali S. Verma, Valeria Lo Faro, Valeria Lo Faro, Traci M. Bartz, Traci M. Bartz, Anne Boland, Anne Boland, Jennifer A. Brody, Jennifer A. Brody, Jean‐François Deleuze, Jean‐François Deleuze, Joseph Emmerich, Joseph Emmerich, Marine Germain, Marine Germain, Andrew D. Johnson, Andrew D. Johnson, Charles Kooperberg, Charles Kooperberg, Pierre‐Emmanuel Morange, Pierre‐Emmanuel Morange, Nathan Pankratz, Nathan Pankratz, Bruce M. Psaty, Bruce M. Psaty, Alexander P. Reiner, Alexander P. Reiner, David M. Smadja, David M. Smadja, Colleen M. Sitlani, Colleen M. Sitlani, Pierre Suchon, Pierre Suchon, Weihong Tang, Weihong Tang, David‐Alexandre Trégouët, David‐Alexandre Trégouët, Sebastian Zöllner, Sebastian Zöllner, Bogdan Paşaniuc, Bogdan Paşaniuc, Scott M. Damrauer, Scott M. Damrauer, Serena Sanna, Serena Sanna, Harold Snieder, Harold Snieder, Christopher Kabrhel, Christopher Kabrhel, Nicholas L. Smith, Nicholas L. Smith, Peter Kraft, Peter Kraft (2024). Multi-ancestry polygenic risk scores for venous thromboembolism. , DOI: https://doi.org/10.1101/2024.01.09.24300914.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Preprint

Year

2024

Authors

70

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1101/2024.01.09.24300914

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access