Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518055, PR China; Key Lab for Health Informatics, Chinese Academy of Sciences, Shenzhen, Guangdong 518055, PR China; Department of Public Health, Shantou University Medical College, No. 22 Xinling Road, Shantou, Guangdong 515041, PR China.
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518055, PR China; Key Lab for Health Informatics, Chinese Academy of Sciences, Shenzhen, Guangdong 518055, PR China.
Genomics. 2014 Jan;103(1):48-55. doi: 10.1016/j.ygeno.2013.11.001. Epub 2013 Nov 13.
Psoriasis is an autoimmune disease, which symptoms can significantly impair the patient's life quality. It is mainly diagnosed through the visual inspection of the lesion skin by experienced dermatologists. Currently no cure for psoriasis is available due to limited knowledge about its pathogenesis and development mechanisms. Previous studies have profiled hundreds of differentially expressed genes related to psoriasis, however with no robust psoriasis prediction model available. This study integrated the knowledge of three feature selection algorithms that revealed 21 features belonging to 18 genes as candidate markers. The final psoriasis classification model was established using the novel Incremental Feature Selection algorithm that utilizes only 3 features from 2 unique genes, IGFL1 and C10orf99. This model has demonstrated highly stable prediction accuracy (averaged at 99.81%) over three independent validation strategies. The two marker genes, IGFL1 and C10orf99, were revealed as the upstream components of growth signal transduction pathway of psoriatic pathogenesis.
银屑病是一种自身免疫性疾病，其症状会显著降低患者的生活质量。该病主要通过有经验的皮肤科医生对皮损皮肤进行目视检查来诊断。由于对其发病机制和发展机制的了解有限，目前尚无治疗银屑病的方法。先前的研究已经对数百个与银屑病相关的差异表达基因进行了分析，但没有一个稳健的银屑病预测模型。本研究整合了三种特征选择算法的知识，揭示了 21 个特征，这些特征属于 18 个基因，是候选标记物。最终的银屑病分类模型是使用新型的增量特征选择算法建立的，该算法仅使用 2 个独特基因（IGFL1 和 C10orf99）中的 3 个特征。该模型在三种独立的验证策略中表现出了高度稳定的预测准确性（平均为 99.81%）。这两个标记基因 IGFL1 和 C10orf99 被揭示为银屑病发病机制中生长信号转导通路的上游组成部分。
