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Katherine Collins-Bennett

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Assistant Professor

Duke University
Country flagUnited States

Research Interests

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Recent Grants

Grant: Open

Sex Differences in Barriers and Predictors of Physical Activity Participation During and Following Cardiac Rehabilitation

Open Date: 2025-09-19

Close Date: 2030-08-31

Grant: Close

Molecular Transducers of Physical Activity and Health: NC Consortium Clinical Site

Open Date:

Close Date:

Articles (20)

Year:

2026

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2025

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2025

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2025

Year:

2025

Year:

2025

Year:

2025

Background Despite the benefits of exercise, many individuals are unable or unwilling to adopt an exercise intervention. Purpose The purpose of this analysis was to identify putative genetic variants associated with dropout from exercise training interventions among individuals in the STRRIDE trials. Methods We used a genome-wide association study approach to identify genetic variants in 603 participants initiating a supervised exercise intervention. Exercise intervention dropout occurred when a subject withdrew from further participation in the study or was otherwise lost to follow-up. Results Exercise intervention dropout was associated with a cluster of single-nucleotide polymorphisms with the top candidate being rs722069 (T/C, risk allele = C) (unadjusted p = 2.2 × 10−7, odds ratio = 2.23) contained within a linkage disequilibrium block on chromosome 16. In Genotype-Tissue Expression, rs722069 is an expression quantitative trait locus of the EARS2, COG7, and DCTN5 genes in skeletal muscle tissue. In subsets of the STRRIDE genetic cohort with available muscle gene expression (n = 37) and metabolic data (n = 82), at baseline the C allele was associated with lesser muscle expression of EARS2 (p < .002) and COG7 (p = .074) as well as lesser muscle concentrations of C2- and C3-acylcarnitines (p = .026). Conclusions Our observations imply that exercise intervention dropout is genetically moderated through alterations in gene expression and metabolic pathways in skeletal muscle. Individual genetic traits may allow the development of a biomarker-based approach for identifying individuals who may benefit from more intensive counseling and other interventions to optimize exercise intervention adoption. Clinical Trial information STRRIDE I = NCT00200993; STRRIDE AT/RT = NCT00275145; STRRIDE-PD = NCT00962962.

Year:

2024

Year:

2024

Year:

2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (11)

Leanna Ross

Duke University School of Medicine

UNITED STATES
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Susan Racette

Professor

Arizona State University

UNITED STATES
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Daniel Belsky

Associate Professor

Columbia University Mailman School of Public Health

UNITED STATES
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Corby K. Martin

Louisiana State University

UNITED STATES
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Charles Burant

University of Michigan

UNITED STATES
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Paul Costa

Duke University

UNITED STATES
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William E Kraus

Duke University School of Medicine

UNITED STATES
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Elizabeth Hauser

Duke University

UNITED STATES
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Blake Rasmussen

Professor

University of Texas Health Science Center at San Antonio

UNITED STATES
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Tiffany Cortes

Southeast Louisiana Veterans Health Care System

UNITED STATES
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Brian Andonian

Assistant Professor

Duke University

UNITED STATES
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