Format

Send to

Choose Destination
See comment in PubMed Commons below
Genomics. 2014 Jan;103(1):48-55. doi: 10.1016/j.ygeno.2013.11.001. Epub 2013 Nov 13.

Gene expression profile based classification models of psoriasis.

Author information

1
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.
2
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.
3
Department of Epidemiology and Biostatistics, Faculty of Infectious Diseases, University of Georgia, Athens, GA 30605, USA; Institute of Bioinformatics, University of Georgia, Athens, GA 30605, USA.
4
Department of Pathogeny Biology, Norman Bethune Medical College, Jilin University, Changchun, Jilin 130021, PR China; Department of Pathogeny Biology, Norman Bethune Medical College, Jilin University, Changchun, Jilin 130021, PR China.
5
Department of Pathogeny Biology, Norman Bethune Medical College, Jilin University, Changchun, Jilin 130021, PR China; Key Laboratory of Zoonosis Research, Ministry of Education, Jilin University, Changchun, Jilin 130021, PR China.
6
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. Electronic address: ff.zhou@siat.ac.cn.

Abstract

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.

KEYWORDS:

Classification; Gene expression profiles; Psoriasis

PMID:
24239985
DOI:
10.1016/j.ygeno.2013.11.001
[Indexed for MEDLINE]
Free full text
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science
    Loading ...
    Support Center