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Merlo, Marco

Mayo Clinic

University of Trieste

Citations 1

Significance of Common Genetic Variants Associated with Non-Ischaemic Cardiomyopathy in the General Population
Paldino, Alessia , Figueiral, Marta , Vyas, Hridyanshu , Jenkins, Gregory D. , Batzler, Anthony , Klee, Eric W. , Rodeheffer, Richard J. , Redfield, Margaret M. , Burnett, John C. , Lopez‐Jimenez, Francisco, Sinagra, Gianfranco, Merlo, Marco, Pereira, Naveen L. , Jenkins, Gregory, Medina Inojosa, Jose R, Pereira, Naveen L , Scott, Christopher G. , Medina‐Inojosa, José R. , López-Jiménez, Francisco , Sinagra, Gianfranco , Merlo, Marco

European Journal of Heart Failure | June 23, 2025 | Volume: 27 | Issue: 12 | Pages: 3235-3242

10.1002/ejhf.3724 Get It

ABSTRACT Aims Common genetic variants have been linked to an increased risk of non-ischaemic cardiomyopathy (NICM). The primary objective of this study was to evaluate the significance of these variants in a general population. Methods and results Thirteen NICM risk alleles, previously validated by meta-analyses of case-control genetic association studies, were used to determine genetic risk (GR) in a large, unselected cohort (n = 1897) of Olmsted County residents aged >45 years. Clinical and echocardiographic data, with biomarkers, were correlated with this NICM-GR over a median of 16 years of follow-up (interquartile range [IQR] 15–17). There were no significant differences between the study population quartiles, based on NICM-GR, in terms of age (median 61.6 [IQR 53.6–70.4]), sex (48% male), and cardiovascular risk factors. A significant correlation was detected by specific linear-regression models between NICM-GR and left ventricular (LV) ejection-fraction (beta [standard error]: −2.68 [0.68], p < 0.001), LV end-systolic-diameter (0.22 [0.06], p < 0.001), and LV end-diastolic-diameter (0.14 [0.06], p = 0.01). During follow-up, 46 subjects developed NICM. Using a 3:1 matched-cohort of non-NICM versus NICM patients, linear-regression analysis found a significant correlation between NICM-GR and NICM development (odds ratio 2.27, 95% confidence interval 1.06–4.85, p = 0.03). There was no significant association between these variants and heart failure biomarkers (aldosterone, natriuretic peptides, ST2, galectin-3). Conclusions The NICM-GR correlates with LV function and dimension, and subsequent development of NICM in the general population. The lack of correlation of these variants with cardiovascular risk factors and the renin–angiotensin–aldosterone axis or natriuretic peptides suggest different biological mechanisms involved. These findings support the need to explore newer pathophysiologic pathways in the development of NICM.