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Series GSE4229 Query DataSets for GSE4229
Status Public on Jan 12, 2009
Title Alzheimer disease diagnostic prediction using peripheral BMC gene expression
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Using prediction analysis for microarrays (PAM), peripheral blood mononuclear cells (BMC) gene expression proves useful as predictive markers of sporadic AD. We obtained 90% accuracy for correct AD classification by PAM (36 of 40; four NEC classified as AD) using BMC gene expression. Investigating the contribution of these genes to the pathology of AD and their usefulness as prognostic biomarkers holds promise in the prevention of this devastating disease.
 
Overall design Peripheral blood mononuclear cells (BMC) were obtained from normal elderly control (NEC) and Alzheimer disease (AD) subjects. Targets from biological replicates of NEC (n=22) and AD (n=18) were generated and the expression profiles were determined using the NIA Human MGC cDNA microarray. Disease classification was preformed by the PAM software provided by Stanford University, using a subset of differentially expressed genes in AD vs. NEC.
 
Citation(s) 19366883
Submission date Feb 10, 2006
Last update date Jan 17, 2013
Contact name Olivier Charles Maes
E-mail(s) [email protected]
Phone 514-340-8222
Fax 514-340-8295
Organization name Lady Davis Institute for Medical Research
Department Bloomfield Centre for Research in Aging
Lab 428
Street address 3999 Cote Ste Catherine
City Montreal
State/province Quebec
ZIP/Postal code H3T 1E2
Country Canada
 
Platforms (1)
GPL1211 NIA MGC, Mammalian Genome Collection
Samples (40)
GSM96451 NECR325F
GSM96452 NEC3R447F
GSM96453 NECR593F
Relations
BioProject PRJNA94879

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