Exploring the Core Genes of Schizophrenia Based on Bioinformatics Analysis
Shunkang Feng1,2, Ping Sun2,3, Chunhui Qu2
1Qingdao Medical College, Qingdao University, Qingdao 266071, China.
Genes
|June 24, 2022
Summary
This study identified four key genes (NFKBIA, CDKN1A, BTG2, GADD45B) associated with schizophrenia using bioinformatics. These genes show potential as diagnostic markers for schizophrenia, aiding in early detection.
Area of Science:
- Neuroscience
- Genetics
- Bioinformatics
Background:
- Schizophrenia is a global health issue affecting 1% of the population and is a leading cause of disability.
- While schizophrenia has strong genetic links, current diagnosis relies on symptoms, lacking clear genetic markers.
- Identifying specific genes could improve diagnostic accuracy and understanding of schizophrenia.
Purpose of the Study:
- To identify hub genes associated with schizophrenia through bioinformatics analysis.
- To investigate the diagnostic value and immune infiltration of these potential hub genes.
Main Methods:
- Utilized three gene expression datasets (GSE53987, GSE21138, GSE27383) from the GEO database.
- Employed GEO2R for differential gene expression analysis, followed by GO and KEGG enrichment.
- Used Cytoscape for hub gene identification and analyzed immune infiltration and diagnostic value (ROC curves).
Main Results:
- Four hub genes (NFKBIA, CDKN1A, BTG2, GADD45B) were identified as significantly associated with schizophrenia.
- NFKBIA and BTG2 showed a notable correlation with resting memory CD4 T cells.
- Receiver Operating Characteristic (ROC) curve analysis indicated diagnostic value for all four identified hub genes.
Conclusions:
- The identified hub genes (NFKBIA, CDKN1A, BTG2, GADD45B) represent potential genetic markers for schizophrenia.
- These genes may play a role in immune cell interactions within schizophrenia.
- Further research into these genes could lead to improved diagnostic tools for schizophrenia.
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