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

Connecting intermediate phenotypes to disease using multi-omics in heart failure.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing - 1 Jan 2025

Moore Anni, Venkatesh Rasika, Levin Michael G, Damrauer Scott M, Reza Nosheen, Cappola Thomas P, Ritchie Marylyn D

Abstract excerpt

Heart failure (HF) is one of the most common, complex, heterogeneous diseases in the world, with over 1-3% of the global population living with the condition. Progression of HF can be tracked via MRI measures of structural and functional changes to the heart, namely left ventricle (LV), including ejection fraction, mass, end-diastolic volume, and LV end-systolic volume. Moreover, while genome-wide association...

Read the complete abstract on PubMed

Topics

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

Share to Computational Biology
Share to Heart Failure

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Magnetic Resonance Imaging

Share to Multiomics

Share to Proteome

Share to Proteomics

Share to Stroke Volume

Share to Transcriptome

Source

Open in PubMed Open full text

Identifiers

PMID: 39670392
DOI: 10.1142/9789819807024_0036
PMCID: PMC11822568

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Connecting intermediate phenotypes to disease using multi-omics in heart failure.PMID 39670392Read ↗

Connecting intermediate phenotypes to disease using multi-omics in heart failureSemantic proximity Read ↗

Clinical-transcriptional prioritization of the circulating proteome in human heart failureSemantic proximity Read ↗

The HeartMagic prospective observational study protocol – characterizing subtypes of heart failure with preserved ejection fractionSemantic proximity Read ↗

Genetic evidence prioritizes circulating proteins for heart failure beyond shared BMI-related genetic liabilitySemantic proximity Read ↗

Omics phenotyping in heart failure: the next frontierSemantic proximity Read ↗

Systems-Level Transcriptomics Maps Multilevel Remodeling and Pathway-Selective Translational Alignment Across Murine Models of Cardiometabolic HFpEFSemantic proximity Read ↗

Cardiac Fibrosis in the Multi-Omics Era: Implications for Heart FailureSemantic proximity Read ↗

Genome-wide association and multi-trait analyses characterize the common genetic architecture of heart failure.Semantic proximity Read ↗

404-Error “Disease Not Found”: Unleashing the Translational Potential of -Omics Approaches Beyond Traditional Disease Classification in Heart Failure ResearchSemantic proximity Read ↗

Genome-wide association and multi-omic analyses reveal new mechanisms for Heart FailureSemantic proximity Read ↗

An 'Omics' Perspective on Cardiomyopathies and Heart Failure.Semantic proximity Read ↗

Integrated multiomics of pressure overload in the human heart prioritizes targets relevant to heart failureSemantic proximity Read ↗

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