Genomics

Dataset Information

0

Trans-omics analyses identify the biochemical network of LPCAT1 associated with coronary artery disease


ABSTRACT: This study used a trans-omics approach—combining genome-wide SNP analysis and metabolomics—to distinguish coronary artery disease (CAD) patients from high-risk and healthy individuals. It identified declining plasma phospholipids as potential biomarkers, linked key SNPs and genes (notably LPCAT1) to lipid changes, and developed a machine-learning model that accurately predicts CAD (AUC = 0.917). The results highlight the role of phospholipid metabolism and genetic variation in CAD progression.

ORGANISM(S): Homo sapiens

PROVIDER: GSE303414 | GEO | 2025/07/28

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

| PRJNA1295420 | ENA
2015-06-22 | E-GEOD-59421 | biostudies-arrayexpress
2020-07-20 | GSE152498 | GEO
2022-11-02 | GSE195656 | GEO
2011-09-30 | E-GEOD-28858 | biostudies-arrayexpress
2014-03-28 | E-GEOD-42137 | biostudies-arrayexpress
2010-01-06 | GSE19590 | GEO
2022-12-18 | PXD036800 | Pride
2008-12-01 | E-GEOD-9820 | biostudies-arrayexpress
2011-10-01 | GSE28858 | GEO