Publications by authors named "C Anwar A Chahal"

Background: Imagenomics is an emerging clinical framework that combines advanced imaging and genetic profiling to refine risk stratification and advance precision medicine in the management of ventricular arrhythmias.

Case Summary: A 43-year-old woman presented with palpitations and presyncope. Ambulatory electrocardiogram revealed frequent premature ventricular contractions and nonsustained ventricular tachycardia, consistently initiated by a premature ventricular contraction with distinct morphology.

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Background: Genetic diagnosis has become increasingly important to guide clinical decision making for patients with dilated cardiomyopathy (DCM). Disease-causing (P/LP) missense variants in the gene cause a highly penetrant arrhythmogenic dilated cardiomyopathy (DCM), but the role of truncating variants ( ) is unclear.

Objective: Assess the contribution of to DCM.

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Lipoprotein(a) (Lp[a]) is a genetic and often unmeasured contributor to atherosclerotic cardiovascular disease (ASCVD) risk. In this study, Lp(a) was estimated from exome data by quantifying Kringle IV subtype 2 repeats alongside a single-nucleotide variant-based genetic risk score. This method was applied to a diverse cohort (N = 76,147) from the Helix Research Network.

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Aims: Left ventricular hypertrophy (LVH) regionality carries diagnostic and prognostic importance. Mean absolute deviation of maximum segmental wall thickness () is a novel left ventricular wall thickness (LVWT) heterogeneity biomarker from cardiovascular magnetic resonance imaging (CMR).

Objectives: To compare to indexed LV mass (), maximum () and mean () wall thickness to predict incident cardiovascular disease (CVD) and differentiate physiological from pathological LVH in highly physically active individuals.

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Background: This study aimed to evaluate the prevalence of pathogenic/likely pathogenic cardiomyopathy variant carriers in a multiancestry US population and examine the risk of adverse clinical outcomes.

Methods: This retrospective cohort study included multiancestry US adults aged ≥18 years with sequencing data from the All of Us Research Program. Pathogenic/likely pathogenic variants in cardiomyopathy genes were identified using the ClinVar database.

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