A predictive microarray-based biomarker for early detection of Alzheimer's disease intended for clinical diagnostic application.
Biomarkers
; 18(3): 264-72, 2013 May.
Article
en En
| MEDLINE
| ID: mdl-23557129
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.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Algoritmos
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ARN
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Análisis de Secuencia por Matrices de Oligonucleótidos
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Enfermedad de Alzheimer
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Transcriptoma
Tipo de estudio:
Diagnostic_studies
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Prognostic_studies
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Risk_factors_studies
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Screening_studies
Límite:
Aged
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Aged80
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Female
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Humans
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Male
Idioma:
En
Revista:
Biomarkers
Asunto de la revista:
BIOQUIMICA
Año:
2013
Tipo del documento:
Article
País de afiliación:
Estados Unidos
Pais de publicación:
Reino Unido