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Series GSE120584 Query DataSets for GSE120584
Status Public on Feb 26, 2019
Title Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data
Organism Homo sapiens
Experiment type Non-coding RNA profiling by array
Summary Alzheimer’s disease (AD) is the most common subtype of dementia, followed by Vascular Dementia (VaD), and Dementia with Lewy Bodies (DLB). Recently, microRNAs (miRNAs) have received a lot of attention as the novel biomarkers for dementia. Here, using serum miRNA expression of 1,601 Japanese individuals, we investigated potential miRNA bio- markers and constructed risk prediction models, based on a supervised principal component analysis (PCA) logistic regression method, according to the subtype of dementia. The final risk prediction model achieved a high accuracy of 0.873 on a validation cohort in AD, when using 78 miRNAs: Accuracy = 0.836 with 86 miRNAs in VaD; Accuracy = 0.825 with 110 miRNAs in DLB. To our knowledge, this is the first report applying miRNA-based risk pre- diction models to a dementia prospective cohort. Our study demonstrates our models to be effective in prospective disease risk prediction; and with further improvement may contribute to practical clinical use in dementia.
Overall design 1,601 serum samples (1,021 AD cases, 91 VaD cases, 169 DLB cases, 32 Mild Cognitive Impairment: MCI, and 288 NC).
Contributor(s) Shigemizu D, Akiyama S, Asanomi Y, Boroevich KA, Sharma A, Tsunoda T, Matsukuma K, Ichikawa M, Sudo H, Takizawa S, Sakurai T, Ochiya T, Ozaki K, Niida S
Citation(s) 30820472, 31666070, 34686734
Submission date Sep 27, 2018
Last update date Nov 03, 2021
Contact name Daichi Shigemizu
Organization name National Center for Geriatrics and Gerontology
Street address 7-430 Morioka-cho
City Obu
State/province Aichi
ZIP/Postal code 474-8511
Country Japan
Platforms (1)
GPL21263 3D-Gene Human miRNA V21_1.0.0
Samples (1601)
GSM3403761 AD_0001
GSM3403762 AD_0002
GSM3403763 AD_0003
BioProject PRJNA493639

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE120584_RAW.tar 99.0 Mb (http)(custom) TAR (of TXT)
Processed data included within Sample table

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