Assessment of a 44 gene classifier for the evaluation of chronic fatigue syndrome from peripheral blood mononuclear cell gene expression.
Assessment of a 44 gene classifier for the evaluation of chronic fatigue syndrome from peripheral blood mononuclear cell gene expression.
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DOI：
10.1371/journal.pone.0016872
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发表时间：
2011-03-30
期刊：
影响因子：
3.7
通讯作者：
Kellam P
中科院分区：
文献类型：
--
作者：
Frampton D;Kerr J;Harrison TJ;Kellam P
慢性疲劳综合征（CFS）是一种临床定义的疾病，估计影响全世界数百万人，导致显著的发病率和每年数十亿美元的成本。目前还没有基于实验室的CFS诊断方法。然而，CFS患者和健康人之间的基因表达谱的差异已在文献中报道。使用从包括CFS患者和健康志愿者的大型数据集中获取的44个先前鉴定的报告基因的mRNA相对量，我们推导出基因谱评分度量以准确地分类CFS和健康样本。该度量优于单独用作CFS分类器的任何报告基因。为了确定报告基因在人群中是否稳健，我们应用该指标对来自CFS患者和健康人的新人群的mRNA相对量的单独盲数据集进行分类，成功率有限。尽管该指标能够成功地对大约三分之二的CFS和健康样本进行正确分类，但错误分类的程度很高。我们得出结论，许多以前确定的报告基因是研究特异性的，因此不能用作广泛的CFS诊断。
Chronic fatigue syndrome (CFS) is a clinically defined illness estimated to affect millions of people worldwide causing significant morbidity and an annual cost of billions of dollars. Currently there are no laboratory-based diagnostic methods for CFS. However, differences in gene expression profiles between CFS patients and healthy persons have been reported in the literature. Using mRNA relative quantities for 44 previously identified reporter genes taken from a large dataset comprising both CFS patients and healthy volunteers, we derived a gene profile scoring metric to accurately classify CFS and healthy samples. This metric out-performed any of the reporter genes used individually as a classifier of CFS. To determine whether the reporter genes were robust across populations, we applied this metric to classify a separate blind dataset of mRNA relative quantities from a new population of CFS patients and healthy persons with limited success. Although the metric was able to successfully classify roughly two-thirds of both CFS and healthy samples correctly, the level of misclassification was high. We conclude many of the previously identified reporter genes are study-specific and thus cannot be used as a broad CFS diagnostic.
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DOI：
10.1073/pnas.97.1.262
发表时间：
2000-01-04
影响因子：
11.1
作者：
Brown, MPS;Grundy, WN;Haussler, D
通讯作者：
Haussler, D
影响因子：
12.3
作者：
Gentleman RC;Carey VJ;Bates DM;Bolstad B;Dettling M;Dudoit S;Ellis B;Gautier L;Ge Y;Gentry J;Hornik K;Hothorn T;Huber W;Iacus S;Irizarry R;Leisch F;Li C;Maechler M;Rossini AJ;Sawitzki G;Smith C;Smyth G;Tierney L;Yang JY;Zhang J
通讯作者：
Zhang J
影响因子：
2.1
作者：
Fostel, J;Boneva, R;Lloyd, A
通讯作者：
Lloyd, A
影响因子：
5.1
作者：
Aspler, Anne L.;Bolshin, Carly;Broderick, Gordon
通讯作者：
Broderick, Gordon
影响因子：
--
作者：
Jason, LA;Richman, JA;Plioplys, S
通讯作者：
Plioplys, S