Among the 582 significant differential ASE genes, 323 genes overlap with GWAS results (P < 5×10−8) for cardiovascular disease, coronary artery disease and acute coronary syndrome. (XLSX)

NIAID Data Ecosystem30

Supplementary Table S3. Sensitivity Analyses Using Alternative Mendelian Randomization Methods for Immune Trait Validation

孟德尔随机化

心血管疾病遗传关联

This table presents multi-method sensitivity analyses to validate the causal effects of immune cell traits on dilated cardiomyopathy. Traits prioritized in the primary IVW analysis were re-evaluated u

Figshare2025-07-04 更新30

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心血管疾病遗传关联

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Background: Calcium ions (Ca2+) play an essential role in excitation–contraction coupling in the heart. The association between cardiovascular diseases (CVDs) and genetic polymorphisms in key regulato

NIAID Data Ecosystem40

Deep representation learning of electrocardiogram reveals novel insights in cardiac structure and functions and connections to cardiovascular diseases 1

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心血管疾病遗传关联

Summary statistics of the deep representations of 12-lead ECG of >40,000 UK Biobank participants. Link to GWAS on the latent factors latent factor 31-32 : doi: 10.17632/n8bn8hdjsc.1

NIAID Data Ecosystem30

Effect of EL 2237 G/A genotypes and allele on angiographic severity of CAD.

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