Purpose/Significance To mine the genes and drugs related to rare diseases, and to provide new ideas for the research and treatment of rare diseases. Method/Process Genes, drugs and rare disease entities from the abstracts of ferroptosis-related research literatures are extracted, and rare disease-drug and rare disease-gene entity co-occurrence networks are constructed. The overall characteristics and node characteristics of the two two-mode networks are analyzed by using the social network analysis method, and clustering maps are generated. Apriori algorithm is used to mine association rules to explore the main association patterns of drugs, genes and rare diseases related to ferroptosis. Result/Conclusion Important rare diseases affected by ferroptosis, drugs that have a positive effect on the treatment of rare diseases by affecting the expression of ferroptosis-related genes, and regulatory genes for ferroptosis-related diseases are revealed. The analysis results provide useful enlightenment for further understanding the occurrence and development mechanism of rare diseases and their treatment strategies.