Abstract 4372844: Genomic Insights into Tachycardia-Mediated Cardiomyopathy: The Impact of TTN Truncating Variants

T Tyler Avery (Geisinger, Wilkes Barre, Pennsylvania, United States) M Melissa Kelly (Geisinger, Danville, Pennsylvania, United States) E Emily Van Syoc (Geisinger, Wilkes Barre, Pennsylvania, United States) C Christopher Nevius (Geisinger, Danville, Pennsylvania, United States) A Ana Morales (Department of Neurology, University Hospital Virgen de la Arrixaca, El Palmar, Murcia, Spain) P Pugazhendhi Vijayaraman (GEISINGER WYOMING VALLEY MED CTR, Wilkes Barre, Pennsylvania, United States) M Martin Matsumura (Geisinger Health System, Danville, Pennsylvania, United States) E Eric Carruth (Geisinger, Danville, Pennsylvania, United States)

Abstract

Background: Truncating variants in the TTN gene (TTNtv) are the most common genetic cause of non-ischemic (dilated) cardiomyopathy (CM) and are implicated in atrial fibrillation (AF). Frequently, AF is a sequela of CM; however, tachycardia-mediated cardiomyopathy (TMC) is an increasingly recognized clinical entity in which systolic dysfunction follows AF, with worse comorbidity and mortality than standalone AF. Restoration of normal sinus rhythm frequently restores systolic function. However, risk factors for the development of TMC have yet to be identified, and the contribution of TTNtv is unknown. Objective: Quantify the association of TTNtv with TMC in a large, healthcare-seeking general population. Methods: Individuals in the MyCode Community Health Initiative with exome sequencing were retrospectively assessed for the presence of AF (ICD-9/10 codes or EKG finding) and/or a TTNtv in highly expressed exons (>90% spliced in; hiPSI). TMC was defined as the presence of ICD-9/10 codes for new diagnosis of non-ischemic CM 1 day to 6 months after diagnosis of paroxysmal or persistent AF. Firth’s bias-reduced logistic regression with 1000 bootstrap iterations was performed to assess association of AF, CM, and TMC with TTNtv presence, with adjustment for age, sex, and the first four principal components of ancestry. Results: Of 171k individuals in MyCode, 21,570 (12.6%; median age 77 [IQR 69—84]; 43% female) had documented AF and 857 individuals (0.5%) had a qualifying TTNtv, including 198 (0.9%) in the AF group (OR 2.2 [1.8—2.6]; p<0.001). Of these AF+TTNtv individuals, 16 (8.1%) had TMC, whereas of 21,372 with AF and no TTNtv, 1,212 (5.7%) had TMC. AF+TTNtv individuals had significantly higher odds of having TMC compared to non-carriers (2.0 [1.2—2.9]; p=0.014; Figure). Phenotype analysis as currently defined demonstrated a PPV of 0.25, NPV of 0.90 w/ observed accuracy of 0.57, sensitivity of 0.73 and specificity of 0.54. Conclusion: In a healthcare-seeking population with exome sequencing, among those with AF, TTNtv presence was associated with 2-fold higher odds of developing ICD code-based TMC, suggesting that for individuals with TTNtv and AF, prompt treatment may be of particular importance. TMC is a complex phenotype that is difficult to define in electronic health records, thus future work will include refinement of the defined phenotype to improve specificity.

Article Details

Journal Circulation
Volume / Issue Vol. 152, Issue Suppl_3
Published November 04, 2025
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (8)

T

Tyler Avery

Geisinger, Wilkes Barre, Pennsylvania, United States

M

Melissa Kelly

Geisinger, Danville, Pennsylvania, United States

E

Emily Van Syoc

Geisinger, Wilkes Barre, Pennsylvania, United States

C

Christopher Nevius

Geisinger, Danville, Pennsylvania, United States

A

Ana Morales

Department of Neurology, University Hospital Virgen de la Arrixaca, El Palmar, Murcia, Spain

P

Pugazhendhi Vijayaraman

GEISINGER WYOMING VALLEY MED CTR, Wilkes Barre, Pennsylvania, United States

M

Martin Matsumura

Geisinger Health System, Danville, Pennsylvania, United States

E

Eric Carruth

Geisinger, Danville, Pennsylvania, United States