A predictive microarray-based biomarker for early detection of Alzheimer's disease intended for clinical diagnostic application

被引：4

作者：

Calciano, Margaret ^{[1
]}

Lemarie, Jean Christophe ^{[2
]}

Blondiaux, Elodie ^{[2
]}

Einstein, Richard ^{[1
,3
]}

Fehlbaum-Beurdeley, Pascale ^{[4
]}

机构：

[1] Exonhit Inc, Gaithersburg, MD USA

[2] Effi Stat, Paris, France

[3] Intrexon Corp, Germantown, MD USA

[4] Exonhit SA, Paris, France

来源：

BIOMARKERS | 2013年 / 18卷 / 03期

关键词：

Alzheimer's disease; diagnostic gene; expression; microarray; splice variant; VALIDATION; PERFORMANCE; SIGNATURE;

D O I：

10.3109/1354750X.2013.773083

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Objective: Microarray-based signatures for clinical application are often plagued by processing variability or batch effects that compromise the robustness of the test performance. Methods: A splice variant array-based signature for early detection of Alzheimer's disease (AD) was developed using 315 AD or normal subjects processed in three disparate microarray batches. Results: A modified top scoring pair classifier using the signature, is robust to batch effects and outperforms other common classifiers, with sensitivity and specificity of 88.3% (95% CI:81.2%, 93.4%) and 88.9% (95% CI:65.3%, 98.6%), respectively, on an independent cohort. Conclusions: This splice-variant array-based signature shows promise for clinical diagnostic use in AD.

引用

收藏

页码：264 / 272

页数：9

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