Back to search

Article

Genomic structural equation modeling reveals shared genetic structure of cardiac function and structure-function association studies of CLCNKA mutations

2025-09-19

Abstract excerpt

<title>Abstract</title> <p> <bold>Background:</bold> Cardiac dysfunction is a prevalent feature of multiple cardiovascular diseases, driven by a complex genetic architecture coordinating structural and functional traits. However, systematic dissection of multidimensional cardiac function phenotypes remains scarce, highlighting the need for integrative models to uncover shared genetic mechanisms. <bold>Methods:...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
81993694-b3ea-5dce-9e14-07e382b7d385
DOI
10.21203/rs.3.rs-7363435/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Genomic structural equation modeling reveals shared genetic structure of cardiac function and structure-function association studies of CLCNKA mutationsDOI 10.21203/rs.3.rs-7363435/v1
Genomic structural equation modeling reveals shared genetic structure of cardiac function and structure-function association studies of CLCNKA mutations.Semantic proximity
Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function.Semantic proximity
New Genetic Loci Implicated in Cardiac Morphology and Function Using Three-Dimensional Population Phenotyping.Semantic proximity
Precision medicine for atherosclerotic cardiovascular disease: Integrative genomics maps risk loci and AI-predicted functional consequences.Semantic proximity
Genome-wide association analysis reveals insights into the molecular etiology underlying dilated cardiomyopathySemantic proximity
Genome-wide analysis of cardiac ventricular phenotypes reveals novel loci and therapeutic targets for heart failure.Semantic proximity
Genomic Structural Equation Modeling Combined With Post-GWAS Analysis Identifies Two Risk Gene Loci and Functionally Sensitive Genes Associated With Cardiac Conduction Block.Semantic proximity
Integration of Genomic structural equation and post-GWAS analysis reveal the risk gene loci and sensitive genes for cardiac conduction block risk.Semantic proximity
Genomic structural equation modelling provides insights into the shared multivariate genetic architecture of cardio-kidney-metabolic syndrome componentsSemantic proximity
A genomic structural equation modelling study elucidates shared genetic architecture of polygenic traits associated with post-intensive care syndrome.Semantic proximity
Genetic architecture of cardiac structure and functionSemantic proximity
Multi-ancestry Multivariate Genome-Wide Analysis Highlights the Role of Common Genetic Variation in Cardiac Structure, Function, and Heart Failure-related TraitsSemantic proximity
Select a neighboring publication to make it the new centre.