A Predictive Model for Anemia and Coronary Heart Disease Based on Bidirectional Two-Sample Mendelian Randomization and Machine Learning

This study, through the integration of MR, transcriptomics, and machine learning methods, has for the first time revealed the causal role of vitamin B12 deficiency anemia and hemolytic anemia in the occurrence of CHD, and identified IFIH1 and APBB2 as potential biomarkers. This research study has provided a new theoretical basis and research direction for understanding the molecular link between anemia and CHD and for improving clinical early warning systems.