Why the study?
Clinical testing identifies a genetic cause in only a minority of dilated cardiomyopathy patients, and the common genetic architecture of complex inheritance remains relatively unexplored.
Population
14,255 DCM cases, 1,199,156 controls, and 36,203 participants with cardiac magnetic resonance imaging traits
Comparison
DCM cases vs controls
Design
Genome-wide association study meta-analysis and multi-trait GWAS
Key result
A polygenic score for dilated cardiomyopathy significantly predicted disease risk in the general population (OR 1.76 per standard deviation increase).
Authors
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May support PGS-based DCM risk stratification in research; leaves open clinical adoption pending prospective validation.
Meta-Analysis (n=1,213,411)
Yes
Odds Ratio: 1.76 (95% CI 1.64–1.9)
p-value: p=<2x10-16
This large-scale GWAS meta-analysis identifies 80 genetic susceptibility loci for dilated cardiomyopathy, highlighting novel effector genes and demonstrating the utility of a polygenic risk score for predicting DCM.
Zheng et al. (2023) conducted a meta-analysis in Dilated cardiomyopathy (n=1,213,411). Polygenic score for dilated cardiomyopathy vs. Lower polygenic score was evaluated on Dilated cardiomyopathy risk per standard deviation increase in polygenic score (OR 1.76, 95% CI 1.64-1.90, p=<2x10-16). A polygenic score for dilated cardiomyopathy significantly predicted disease risk in the general population (OR 1.76 per standard deviation increase).