Identification of Important Genes of Keratoconus and Construction of the Diagnostic Model.

IF 2.1 4区生物学 Q4 GENETICS & HEREDITY

Genetics research Pub Date : 2022-09-12 eCollection Date: 2022-01-01 DOI:10.1155/2022/5878460

Lin Wang, Yuqing Wang, Juan Liu, Wencheng Zhao

引用次数: 3

Abstract

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.

Abstract Image

查看原文本刊更多论文

圆锥角膜重要基因的鉴定及诊断模型的建立。

目的:探讨圆锥角膜(KC)在圆锥角膜(KC)诊断中的潜在作用。方法:从综合基因表达数据库(GEO)下载GSE151631和GSE77938。通过随机森林模型(RF)、支持向量机模型(SVM)和广义线性模型(GLM)，鉴定出重要的免疫相关基因作为KC诊断的生物标志物。结果:通过LASSO、RFE和RF算法，对比三组基因序列，共得到8个重叠基因序列。我们选取AREG、BBC3、DUSP2、map3k8、Smad7、CDKN1A、JUN和LIF这8个基因作为最终的最优组合。结论:细胞增殖异常、细胞凋亡和自噬缺陷与KC有关，可能是KC的病因和潜在靶点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Genetics research 生物-遗传学

自引率

6.70%

发文量

审稿时长

>12 weeks

期刊介绍： Genetics Research is a key forum for original research on all aspects of human and animal genetics, reporting key findings on genomes, genes, mutations and molecular interactions, extending out to developmental, evolutionary, and population genetics as well as ethical, legal and social aspects. Our aim is to lead to a better understanding of genetic processes in health and disease. The journal focuses on the use of new technologies, such as next generation sequencing together with bioinformatics analysis, to produce increasingly detailed views of how genes function in tissues and how these genes perform, individually or collectively, in normal development and disease aetiology. The journal publishes original work, review articles, short papers, computational studies, and novel methods and techniques in research covering humans and well-established genetic organisms. Key subject areas include medical genetics, genomics, human evolutionary and population genetics, bioinformatics, genetics of complex traits, molecular and developmental genetics, Evo-Devo, quantitative and statistical genetics, behavioural genetics and environmental genetics. The breadth and quality of research make the journal an invaluable resource for medical geneticists, molecular biologists, bioinformaticians and researchers involved in genetic basis of diseases, evolutionary and developmental studies.