Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Prediction of primary venous thromboembolism based on clinical and genetic factors within the U.K. Biobank.

Scientific reports - 1 Nov 2021

Kolin David A, Kulm Scott, Elemento Olivier

Abstract excerpt

Both clinical and genetic factors drive the risk of venous thromboembolism. However, whether clinically recorded risk factors and genetic variants can be combined into a clinically applicable predictive score remains unknown. Using Cox proportional-hazard models, we analyzed the association of risk factors with the likelihood of venous thromboembolism in U.K. Biobank, a large prospective cohort. We then created a...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aged
Share to Genetic Predisposition to Disease
Share to Polymorphism, Single Nucleotide

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Prognosis

Share to Proportional Hazards Models

Share to Risk Factors

Share to United Kingdom

Share to Venous Thromboembolism

Source

Open in PubMed Open full text

Identifiers

PMID: 34725413
DOI: 10.1038/s41598-021-00796-4
PMCID: PMC8560817

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Prediction of primary venous thromboembolism based on clinical and genetic factors within the U.K. Biobank.PMID 34725413Read ↗

Prediction of Venous Thromboembolism Based on Clinical and Genetic FactorsSemantic proximity Read ↗

Polygenic risk scores for prediction of cancer-associated venous thromboembolism in the UK Biobank cohort studySemantic proximity Read ↗

Genome-wide association analysis of venous thromboembolism identifies new risk loci and genetic overlap with arterial vascular disease.Semantic proximity Read ↗

Genome-wide meta-analysis identifies 93 risk loci and enables risk prediction equivalent to monogenic forms of venous thromboembolism.Semantic proximity Read ↗

Deciphering the molecular basis of venous thromboembolism: where are we and where should we go?Semantic proximity Read ↗

Association of Cardiovascular Health with the Incidence of Venous Thromboembolism: A Prospective Study of 275,149 Participants from the UK Biobank.Semantic proximity Read ↗

Venous thromboembolic disease genetics: from variants to function.Semantic proximity Read ↗

Common genetic risk factors of venous thromboembolism in Western and Asian populations.Semantic proximity Read ↗

Multivariable clinical-genetic risk model for predicting venous thromboembolic events in patients with cancer.Semantic proximity Read ↗

GENETIC DETERMINANTS OF THROMBOSIS.Semantic proximity Read ↗

Genetic risk factors for venous thromboembolism.Semantic proximity Read ↗

Genetic variation within the anticoagulant, procoagulant, fibrinolytic and innate immunity pathways as risk factors for venous thromboembolism.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.