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. 2024 Nov 21;56(12):2646–2658. doi: 10.1038/s41588-024-01952-y

Fig. 1. Study overview of European ancestry DCM GWAS performed in 14,256 cases and 1,199,156 controls from 16 studies.

Fig. 1

Cases were defined as having a clinical diagnosis or unequivocal disease label for DCM (DCMNarrow) or a more inclusive definition of LV systolic dysfunction, with or without LV dilatation (DCMBroad), in the absence of CAD, severe valvular heart disease or congenital heart disease. Genetic correlation was performed to identify traits suitable for inclusion in meta-analysis and multitrait analysis of GWAS (MTAG). The MTAG analysis combined DCM GWAS with GWAS of genetically correlated quantitative cardiac magnetic resonance (CMR) imaging-derived traits (DCM MTAG). Downstream analyses included elucidating the genetic architecture of DCM, genomic risk loci annotation and prioritization of candidate genes, integration with single-cell transcriptomics to identify perturbations of candidate gene expression, and generation and evaluation of polygenic risk scores (PGS) for DCM. LVESV, LV end systolic volume; LVEF, LV ejection fraction; straincirc, global LV circumferential strain. Figure created with BioRender.com.