Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data-Reference-Cited by-同舟云学术

Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data

Published:2019-02-25 Issue:1 Volume:2 Page:
ISSN:2399-3642
Container-title:Communications Biology
language:en
Short-container-title:Commun Biol

Author:

Shigemizu Daichi^ORCID,Akiyama Shintaro,Asanomi Yuya,Boroevich Keith A.^ORCID,Sharma Alok^ORCID,Tsunoda Tatsuhiko^ORCID,Matsukuma Kana,Ichikawa Makiko,Sudo Hiroko,Takizawa Satoko,Sakurai Takashi,Ozaki Kouichi,Ochiya Takahiro,Niida Shumpei

Funder

Japan Agency for Medical Research and Development

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Medicine (miscellaneous)

Link

http://www.nature.com/articles/s42003-019-0324-7.pdf

Reference62 articles.

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2. Haan, M. N. & Wallace, R. Can dementia be prevented? Brain aging in a population-based context. Annu. Rev. Public Health 25, 1–24 (2004).

3. Kim, D. H. et al. Genetic markers for diagnosis and pathogenesis of Alzheimer’s disease. Gene 545, 185–193 (2014).

4. Spires-Jones, T. L. & Hyman, B. T. The intersection of amyloid beta and tau at synapses in Alzheimer’s disease. Neuron 82, 756–771 (2014).

5. Sheinerman, K. S. et al. Plasma microRNA biomarkers for detection of mild cognitive impairment. Aging 4, 590–605 (2012).

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