Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology

R Bonazzola, E Ferrante, N Ravikumar, Y Xia… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent genome-wide association studies (GWAS) have been successful in identifying
associations between genetic variants and simple cardiac parameters derived from cardiac …

Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology

R Bonazzola, E Ferrante, N Ravikumar, Y Xia… - Nature Machine …, 2024 - nature.com
Recent genome-wide association studies have successfully identified associations between
genetic variants and simple cardiac morphological parameters derived from cardiac …

Three-dimensional cardiovascular imaging-genetics: a mass univariate framework

C Biffi, A de Marvao, MI Attard, TJW Dawes… - …, 2018 - academic.oup.com
Motivation Left ventricular (LV) hypertrophy is a strong predictor of cardiovascular outcomes,
but its genetic regulation remains largely unexplained. Conventional phenotyping relies on …

Image-derived phenotype extraction for genetic discovery via unsupervised deep learning in CMR images

R Bonazzola, N Ravikumar, R Attar, E Ferrante… - … Image Computing and …, 2021 - Springer
Prospective studies with linked image and genetic data, such as the UK Biobank (UKB),
provide an unprecedented opportunity to extract knowledge on the genetic basis of image …

[HTML][HTML] Genome wide association analysis of the heart using high-resolution 3D cardiac MRI identifies new genetic loci underlying cardiac structure and function

A Marvao, HV Meyer, TJ Dawes, W Shi, W Bai… - Journal of …, 2016 - Springer
Background Human physiology and disease are defined by complex interactions between
genetic and environmental factors. While genome-wide association studies (GWASs) have …

Genome-wide analysis of left ventricular image-derived phenotypes identifies fourteen loci associated with cardiac morphogenesis and heart failure development

N Aung, JD Vargas, C Yang, CP Cabrera, HR Warren… - Circulation, 2019 - Am Heart Assoc
Background: The genetic basis of left ventricular (LV) image-derived phenotypes, which play
a vital role in the diagnosis, management, and risk stratification of cardiovascular diseases …

Genome-wide array analysis of normal and malformed human hearts

B Kaynak, A von Heydebreck, S Mebus, D Seelow… - Circulation, 2003 - Am Heart Assoc
Background—We present the first genome-wide cDNA array analysis of human congenitally
malformed hearts and attempted to partially elucidate these complex phenotypes. Most …

ATLAS OF RISK FACTORS AND CARDIAC MORPHOLOGICAL TRAITS USING DEEP LEARNING AND MENDELIAN RANDOMIZATION

S Kany, J Rämö, CR Hou, M Nekoui, SJ Jurgens… - Journal of the American …, 2023 - jacc.org
Background Causal associations between cardiac imaging traits and cardiovascular
disease are not well established. Machine learning approaches enable the segmentation of …

[HTML][HTML] Epistasis regulates genetic control of cardiac hypertrophy

Q Wang, TM Tang, N Youlton, CS Weldy… - Research …, 2023 - ncbi.nlm.nih.gov
The combinatorial effect of genetic variants is often assumed to be additive. Although
genetic variation can clearly interact non-additively, methods to uncover epistatic …

Deep representation learning of electrocardiogram reveals novel insights in cardiac structure and functions and connections to cardiovascular diseases

MW Yeung, R van de Leur, JW Benjamins, MB Vessies… - medRxiv, 2023 - medrxiv.org
Background Conventional approaches to analysing electrocardiograms (ECG) in
fragmented parameters (such as the PR interval) ignored the high dimensionality of data …