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

Cluster Individuals Based on Phenotype and Determine the Risk for Atrial Fibrillation in the PREVEND and Framingham Heart Study Populations.

PloS one - 1 Jan 2016

Rienstra Michiel, Geelhoed Bastiaan, Yin Xiaoyan, Siland Joylene E, Vermond Rob A, Mulder Bart A, Van Der Harst Pim, Hillege Hans L, Benjamin Emelia J, Van Gelder Isabelle C

Abstract excerpt

BACKGROUND: Risk prediction of atrial fibrillation (AF) is of importance to improve the early diagnosis and treatment of AF. Latent class analysis takes into account the possible existence of classes of individuals each with shared risk factors, and maybe a better method of incorporating the phenotypic heterogeneity underlying AF. METHODS AND FINDINGS: Two prospective community-based cohort studies from...

Read the complete abstract on PubMed

Topics

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

Share to Atrial Fibrillation
Share to Cluster Analysis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Follow-Up Studies

Share to Incidence

Share to Netherlands

Share to Phenotype

Share to Risk Factors

Share to United States

Source

Open in PubMed Open full text

Identifiers

PMID: 27832125
DOI: 10.1371/journal.pone.0165828
PMCID: PMC5104331

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Cluster Individuals Based on Phenotype and Determine the Risk for Atrial Fibrillation in the PREVEND and Framingham Heart Study Populations.PMID 27832125Read ↗

Outcome and life expectancy associated with novel subgroups of atrial fibrillation: a data-driven cluster analysisSemantic proximity Read ↗

Genetic Predisposition, Clinical Risk Factor Burden, and Lifetime Risk of Atrial Fibrillation.Semantic proximity Read ↗

Phenotypes and outcomes in non-anticoagulated patients with atrial fibrillation: An unsupervised cluster analysis.Semantic proximity Read ↗

Blood-based cardiometabolic phenotypes in atrial fibrillation and their associated risk: EAST-AFNET 4 biomolecule study.Semantic proximity Read ↗

Clinical and Genetic Risk Factors Predict Atrial Fibrillation on the Basis of Hypertrophic Cardiomyopathy.Semantic proximity Read ↗

Genetic Risk Prediction of Atrial FibrillationSemantic proximity Read ↗

Associations of risk factor burden and genetic predisposition with the 10-year risk of atrial fibrillation: observations from a large prospective study of 348,904 participants.Semantic proximity Read ↗

Clinical, biomarker, and genetic predictors of specific types of atrial fibrillation in a community-based cohort: data of the PREVEND study.Semantic proximity Read ↗

Phenotype-guided risk stratification in anticoagulated atrial fibrillation patients: Cluster analysis of the Murcia AF Project III (MAFP-III).Semantic proximity Read ↗

Polygenic risk-based prediction of heart failure in young patients with atrial fibrillation: an analysis from UK BiobankSemantic proximity Read ↗

Cardiomyopathy Gene Variants and Polygenic Risk Scores in Atrial Fibrillation: Evidence for an Atrial-First Phenotype.Semantic proximity Read ↗

Atrial Fibrillation Polygenic Risk Score (AF-PRS) Predicts Non-Ischemic Cardiomyopathy: A Single-Center Retrospective Cohort Study of 16,801 IndividualsSemantic proximity Read ↗

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