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The aim of the present study is to identify and analyse the differentially expressed genes (DEGs) between IPF and GERD and explore the relevant molecular mechanisms via bioinformatics analysis. Four GEO datasets (GSE24206, GSE53845, GSE26886, and GSE39491) were downloaded from the GEO database, and DEGs between IPF and GERD were identified with the online tool GEO2R. Subsequently, a series of bioinformatics analyses are conducted, including Kyoto Encyclopaedia of Genes and Genomes (KEGG) and gene ontology (GO) enrichment analyses, the PPI network, biological characteristics, TF\u2010gene interactions, TF\u2010miRNA coregulatory networks, and the prediction of drug molecules. Totally, 71 genes were identified as DEGs in IPF and GERD. Five KEGG pathways, including Amoebiasis, Protein digestion and absorption, Relaxin signalling pathway, AGE\u2010RAGE signalling pathway in diabetic complications, and Drug metabolism \u2010 cytochrome P450, were significantly enriched. In addition, eight hub genes, including\n                    <jats:italic>POSTN<\/jats:italic>\n                    ,\n                    <jats:italic>MMP1<\/jats:italic>\n                    ,\n                    <jats:italic>COL3A1<\/jats:italic>\n                    ,\n                    <jats:italic>COL1A2<\/jats:italic>\n                    ,\n                    <jats:italic>CXCL12<\/jats:italic>\n                    ,\n                    <jats:italic>TIMP3<\/jats:italic>\n                    ,\n                    <jats:italic>VCAM1<\/jats:italic>\n                    , and\n                    <jats:italic>COL1A1<\/jats:italic>\n                    were selected from the PPI network by Cytoscape software. Then, five hub genes (\n                    <jats:italic>MMP1<\/jats:italic>\n                    ,\n                    <jats:italic>POSTN<\/jats:italic>\n                    ,\n                    <jats:italic>COL3A1<\/jats:italic>\n                    ,\n                    <jats:italic>COL1A2<\/jats:italic>\n                    , and\n                    <jats:italic>COL1A1<\/jats:italic>\n                    ) with high diagnostic values for IPF and GERD were validated by GEO datasets. Finally, TF\u2010gene and miRNA interaction was identified with hub genes and predicted drug molecules for the IPF and GERD. And the results suggest that cetirizine, luteolin, and pempidine may have great potential therapeutic value in IPF and GERD. This study will provide novel strategies for the identification of potential biomarkers and valuable therapeutic targets for IPF and GERD.\n                  <\/jats:p>","DOI":"10.1049\/syb2.12081","type":"journal-article","created":{"date-parts":[[2023,10,31]],"date-time":"2023-10-31T23:26:06Z","timestamp":1698794766000},"page":"352-365","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Prediction and analysis of genetic effect in idiopathic pulmonary fibrosis and gastroesophageal reflux disease"],"prefix":"10.1049","volume":"17","author":[{"given":"Peipei","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Respiratory Medicine Wenzhou People's Hospital  Wenzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lubin","family":"Xie","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology The First Affiliated Hospital of Wenzhou Medical 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