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Christopher Haggerty

Adjunct Assistant Professor

Columbia University

United States

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Research Interests

Medical Imaging

40%

Biostatistics

40%

Cardiac Imaging

40%

Medical Science

40%

Genome-wide Association

30%

Magnetic Resonance Imaging

20%

Deep Learning

20%

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Recent Grants

Grant: Close

Using Electrocardiogram Genetics to Inform Arrhythmia Risk

Open Date: 2022-01-20

Close Date: 2025-12-31

Grant: Close

A Precision Medicine Approach to Arrhythmogenic Cardiomyopathy

Open Date: 2019-01-19

Close Date: 2023-12-31

Grant: Close

Scripps Translational Science Institute

Open Date: 2018-05-01

Close Date: 2023-04-30

Grant: Close

Aortic Wall Distensibility in the Growth and Rupture of Abdominal Aortic Aneurysm

Open Date: 2014-09-01

Close Date: 2015-12-15

Grant: Close

Relating Hemodynamics of the Total Cavopulmonary Connection to Single Ventricle Function in the Fontan Population

Open Date: 2010-07-01

Close Date: 2012-06-30

Articles16

Sequencing in over 50,000 cases identifies coding and structural variation underlying atrial fibrillation risk.

Article Link

Year:

2025

A Large-scale Multimodal Study for Predicting Mortality Risk Using Minimal and Low Parameter Models and Separable Risk Assessment

Article Link

Year:

2025

Predicted Risk of Ventricular Arrhythmias in a Genome-First Population With Genetic Risk for Arrhythmogenic Right Ventricular Cardiomyopathy

Article Link

Year:

2025

Promise and Peril of a Genotype‐First Approach to Mendelian Cardiovascular Disease

Article Link

Year:

2024

Deep Learning for Echo Analysis, Tracking, and Evaluation of Mitral Regurgitation (DELINEATE-MR)

Article Link

Year:

2024

StrainNet: Improved Myocardial Strain Analysis of Cine MRI by Deep Learning from DENSE

Article Link

Year:

2023

An ECG-based machine learning model for predicting new-onset atrial fibrillation is superior to age and clinical features in identifying patients at high stroke risk

Article Link

Year:

2023

Moving From PQRST to AI

Article Link

Year:

2023

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

Article Link

Year:

2022

Endophenotype effect sizes support variant pathogenicity in monogenic disease susceptibility genes.

Article Link

Year:

2022

Loss-of-Function <i>FLNC</i> Variants Are Associated With Arrhythmogenic Cardiomyopathy Phenotypes When Identified Through Exome Sequencing of a General Clinical Population.

Article Link

Year:

2022

Monogenic and Polygenic Contributions to QTc Prolongation in the Population

Article Link

Year:

2022

rECHOmmend: An ECG-based Machine-learning Approach for Identifying Patients at High-risk of Undiagnosed Structural Heart Disease Detectable by Echocardiography.

Article Link

Year:

2022

Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank.

Article Link

Year:

2022

Generalizability and quality control of deep learning-based 2D echocardiography segmentation models in a large clinical dataset.

Article Link

Year:

2022

3D-Encoded DENSE MRI with Zonal Excitation for Quantifying Biventricular Myocardial Strain During a Breath-Hold

Article Link

Year:

2021

Collaborators14

Laura Rasmussen-Torvik

Associate Professor and Chief of Epidemiology

Northwestern University Feinberg School of Medicine

UNITED STATES

Changyu Sun

Assistant Professor

University of Missouri

UNITED STATES

Elsayed Soliman

Director/Professor

Wake Forest School of Medicine

UNITED STATES

Pedro Ferreira

Imperial College London

UNITED KINGDOM

RuiJun Chen

Clinical Assistant Professor

Weill Cornell Medical College

UNITED STATES

Patricia Munroe

Professor of Molecular Medicine

Queen Mary University of London

UNITED KINGDOM

Kenneth Mangion

University of Glasgow

UNITED KINGDOM

Megan Roy-Puckelwartz

Northwestern University

UNITED STATES

Nicholas Marston

Harvard University

UNITED STATES

Karin Hoth

Iowa State University

UNITED STATES

Marios Pattichis

Professor

University of New Mexico

UNITED STATES

Cynthia James

Assistant Professor

Johns Hopkins University

UNITED STATES

James Pirruccello

University of California, San Francisco

UNITED STATES

Magalie Viallon

Université Claude Bernard Lyon 1

FRANCE

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