Alcohol usage can lead to liver inflammation, which is known as alcohol hepatitis. Excessive alcohol use overloaded the liver with toxins, affecting the tissues. This study's objective is to determine the gene candidates for alcohol hepatitis in liver disease. The expression of gene profile GSE171809 was retrieved from GEO database. The GEO2R online tool was utilized to find DEGs. The KEGG pathway analysis and GO term enrichment analysis were conducted. The PPI network was framed for DEGs by utilizing the Cytoscape software to identify gene candidates and important key role pathways. A total number of 990 DEGs containing 350 upregulated DEGs and 650 downregulated DEGs were filtered with GEO2R. As per GO analysis DEGs were considerably enriched in protein DNA damage response, mitotic G2/M transition checkpoint, aminoacyl-tRNA synthetase multienzyme complex, protein-DNA complex, catalytic activity, acting on a tRNA, lysophospholipid acyltransferase activity, tRNA methyltransferase activity. For the meantime, according to KEGG pathway analysis, DEGs were significantly enriched in the Alcoholism, Glycosaminoglycan degradation, mTOR signaling pathway, p53 signaling pathway, Hippo signaling pathway - multiple species, NFkappa B signaling pathway, VEGF signaling pathway, JAK-STAT signaling pathway. Based on PPI network analysis six gene candidates were identified (AARS1, ACP1, ALDH18A1, CA6, CBX5 and SSBP1). In conclusion Our results provide a several bioinformatics study of genes, based on pathways, the genes ACP1, ALDH2, PTK2, SFN, EDA and OSM having the possibility to be targeted for liver disease.