Identification of Important Genes of Keratoconus and Construction of the Diagnostic Model
Objective. The aim of the study is to investigate the potential role of keratoconus (KC) in the diagnosis of keratoconus (KC). Methods. GSE151631 and GSE77938 were downloaded from the comprehensive gene expression database (GEO). By using the random forest model (RF), support vector machine model (S...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Genetics Research |
| Online Access: | http://dx.doi.org/10.1155/2022/5878460 |
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| _version_ | 1832563296905986048 |
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| author | Lin Wang Yuqing Wang Juan Liu Wencheng Zhao |
| author_facet | Lin Wang Yuqing Wang Juan Liu Wencheng Zhao |
| author_sort | Lin Wang |
| collection | DOAJ |
| description | Objective. The aim of the study is to investigate the potential role of keratoconus (KC) in the diagnosis of keratoconus (KC). Methods. GSE151631 and GSE77938 were downloaded from the comprehensive gene expression database (GEO). By using the random forest model (RF), support vector machine model (SVM), and generalized linear model (GLM), important immune-related genes were identified as biomarkers for KC diagnosis. Results. Through the LASSO, RFE, and RF algorithms and comparing the three sets of DEGs, a total of 8 overlapping DEGs were obtained. We took 8 DEGs as the final optimal combination of DEGs: AREG, BBC3, DUSP2, map3k8, Smad7, CDKN1A, JUN, and LIF. Conclusion. Abnormal cell proliferation, apoptosis, and autophagy defects are related to KC, which may be the etiology and potential target of KC. |
| format | Article |
| id | doaj-art-76ae5a0b6897471d9d076b03b504b500 |
| institution | Kabale University |
| issn | 1469-5073 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Genetics Research |
| spelling | doaj-art-76ae5a0b6897471d9d076b03b504b5002025-02-03T01:20:35ZengWileyGenetics Research1469-50732022-01-01202210.1155/2022/5878460Identification of Important Genes of Keratoconus and Construction of the Diagnostic ModelLin Wang0Yuqing Wang1Juan Liu2Wencheng Zhao3Eye HospitalNingde Municipal Hospital Affiliated with Ningde Normal UniversityEye HospitalThe First Affiliated Hospital of Harbin Medical UniversityObjective. The aim of the study is to investigate the potential role of keratoconus (KC) in the diagnosis of keratoconus (KC). Methods. GSE151631 and GSE77938 were downloaded from the comprehensive gene expression database (GEO). By using the random forest model (RF), support vector machine model (SVM), and generalized linear model (GLM), important immune-related genes were identified as biomarkers for KC diagnosis. Results. Through the LASSO, RFE, and RF algorithms and comparing the three sets of DEGs, a total of 8 overlapping DEGs were obtained. We took 8 DEGs as the final optimal combination of DEGs: AREG, BBC3, DUSP2, map3k8, Smad7, CDKN1A, JUN, and LIF. Conclusion. Abnormal cell proliferation, apoptosis, and autophagy defects are related to KC, which may be the etiology and potential target of KC.http://dx.doi.org/10.1155/2022/5878460 |
| spellingShingle | Lin Wang Yuqing Wang Juan Liu Wencheng Zhao Identification of Important Genes of Keratoconus and Construction of the Diagnostic Model Genetics Research |
| title | Identification of Important Genes of Keratoconus and Construction of the Diagnostic Model |
| title_full | Identification of Important Genes of Keratoconus and Construction of the Diagnostic Model |
| title_fullStr | Identification of Important Genes of Keratoconus and Construction of the Diagnostic Model |
| title_full_unstemmed | Identification of Important Genes of Keratoconus and Construction of the Diagnostic Model |
| title_short | Identification of Important Genes of Keratoconus and Construction of the Diagnostic Model |
| title_sort | identification of important genes of keratoconus and construction of the diagnostic model |
| url | http://dx.doi.org/10.1155/2022/5878460 |
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