Supplementary file 1_Identification of key biomarkers for myocardial infarction by multi-o

A supplementary file from a study identifying potential biomarkers for acute myocardial infarction (AMI). The research integrates GWAS data from the FinnGen database, eQTL data from GTEx, and three gene expression microarray datasets from GEO. The study, authored by Jiacheng Wu and last updated in April 2026, uses transcriptome-wide association studies, 12 machine learning methods, and Bayesian colocalization analysis to identify key genes like LIPA and PECAM1.

Use Cases

• Training diagnostic models for myocardial infarction based on identified key genes like LIPA and PECAM1.
• Conducting functional enrichment analysis using Gene Ontology (GO) and KEGG pathways mentioned in the study.
• Performing immunoinfiltration analysis to explore correlations between biomarkers and immune cell types.
• Validating gene expression findings from multi-omics integration using techniques like RT-qPCR.
• Building risk prediction models for AMI using the 12 machine learning methods described.

Strengths

• Integrates data from multiple authoritative sources: FinnGen (GWAS), GTEx (eQTL), and GEO (microarray).
• Validation performed using two independent datasets (GSE48060 and GSE60993) and experimental methods (RT-qPCR, western blot).
• Analysis employs a multi-method approach including TWAS, 12 machine learning algorithms, and Bayesian colocalization.
• Released under a permissive CC-BY-4.0 license.

Limitations

• The dataset is a 596.2 KB PDF supplementary file; the underlying raw data tables are not directly provided.
• Column-level documentation and sample data are unavailable, requiring manual inspection after download.
• Row count and the exact structure of the integrated data are unknown.

Provenance

Source

figshare, aggregating data from FinnGen, GTEx, and GEO databases.

Collection Method

Integration of multi-omics data (GWAS, eQTL, microarray) analyzed with transcriptome-wide association studies and machine learning.

Time Range

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Freshness

Last updated 2026-04-13 05:20:49.

Geography

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