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

Population-based studies of myocardial hypertrophy: high resolution cardiovascular magnetic resonance atlases improve statistical power.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance - 3 Feb 2014

de Marvao Antonio, Dawes Timothy J W, Shi Wenzhe, Minas Christopher, Keenan Niall G, Diamond Tamara, Durighel Giuliana, Montana Giovanni, Rueckert Daniel, Cook Stuart A, O'Regan Declan P

Abstract excerpt

BACKGROUND: Cardiac phenotypes, such as left ventricular (LV) mass, demonstrate high heritability although most genes associated with these complex traits remain unidentified. Genome-wide association studies (GWAS) have relied on conventional 2D cardiovascular magnetic resonance (CMR) as the gold-standard for phenotyping. However this technique is insensitive to the regional variations in wall thickness which are...

Read the complete abstract on PubMed

Topics

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

Share to Feasibility Studies
Share to Heart Ventricles

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Hypertrophy, Left Ventricular

Share to Image Interpretation, Computer-Assisted

Share to Imaging, Three-Dimensional

Share to Magnetic Resonance Imaging, Cine

Share to Reference Values

Share to Ventricular Function, Left

Source

Open in PubMed Open full text

Identifiers

PMID: 24490638
DOI: 10.1186/1532-429X-16-16
PMCID: PMC3914701

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Population-based studies of myocardial hypertrophy: high resolution cardiovascular magnetic resonance atlases improve statistical power.PMID 24490638Read ↗

Genome-wide association analysis of left ventricular imaging-derived phenotypes identifies 72 risk loci and yields genetic insights into hypertrophic cardiomyopathy.Semantic proximity Read ↗

Three-dimensional cardiovascular imaging-genetics: a mass univariate framework.Semantic proximity Read ↗

Anthropometric and genetic determinants of cardiac morphology and functionSemantic proximity Read ↗

New Genetic Loci Implicated in Cardiac Morphology and Function Using Three-Dimensional Population Phenotyping.Semantic proximity Read ↗

Analysis of cardiac magnetic resonance imaging in 36,000 individuals yields genetic insights into dilated cardiomyopathy.Semantic proximity Read ↗

Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK BiobankSemantic proximity Read ↗

MRI-derived wall thickness heterogeneity in hypertrophic cardiomyopathy and in carriers of sarcomeric gene mutations.Semantic proximity Read ↗

Clinical and Genetic Associations of Deep Learning-Derived Cardiac Magnetic Resonance-Based Left Ventricular MassSemantic proximity Read ↗

Diagnostic Role of Wall Thickness Heterogeneity in Hypertrophic Cardiomyopathy and in Carriers of Sarcomeric Gene MutationsSemantic proximity Read ↗

Marked variation in heritability estimates of left ventricular mass depending on modality of measurement.Semantic proximity Read ↗

Deep-learning analysis of 3D microarchitectural remodeling in hypertrophic cardiomyopathy.Semantic proximity Read ↗

Assessing the robustness of an artificial intelligence segmentation model for quantitative cardiovascular magnetic resonance imaging across cardiac phenotypes.Semantic proximity Read ↗

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