Suppr超能文献

[A probe for evaluating the role of HLA class II antigens coded with the DRB gene in etiopathogenesis of familial sarcoidosis in Poland using the K-nearest neighbor experimental statistical method].

作者信息

Goljan A, Puścińska E, Sankowska M, Jóźwik A, Zieliński J

机构信息

Kliniki Chorób Płuc Instytutu Gruźlicy i Chorób Płuc, Warszawie.

出版信息

Pneumonol Alergol Pol. 2000;68(11-12):545-56.

Abstract

The aim of this study was evaluation of the significance of HLA-DRB1,-DRB3,-DRB4,-DRB5 associated alleles in the genetic susceptibility to sarcoidosis. We investigated 17 Polish 'families with' familial occurrence of the disease. Thirty three affected family members and 78 healthy relatives and 101 healthy individuals (control group) have been typed for HLA class II DR antigens. Assuming that relatives from families with two or more affected members are more susceptible to develop sarcoidosis we considered two classes: affected and healthy family members taken together (class 1, N = 111) and healthy control group (class 2, N = 101). HLA antigens from both classes were compared using a statistical pattern recognition method. This method, called k-NN method, assumes that objects (individuals) are described by a certain number of variables called features. Selected features that played an important role in the decision to which class an individual person would be classified were: HLA-DR7, HLA-DR2(16), HLA-DR1, HLA-DR5(12), HLA-DR6(14), HLA-DR6(13), HLA-DR9, HLA-DR5(11) and HLA-DRw52. K-NN method allowed to classify properly 76% of studied subjects to healthy or disease susceptible group. However, 24 out of 100 individuals would be misclassified which gives the total error rate of 0.24. We concluded that using HLA-DR antigens as features characterising every individual we can predict with high probability to which class ("high risk" or "healthy") individual would belong.

摘要

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验