We continue to be a contributor to the reanalysis of large tracts of genome wide association data and much of this work, which identifies several new loci, and a converging molecular pathway, has been published. Our current efforts center on using machine learning and deep learning to analyze longitudinal high dimension data from AD patients (ADNI study) in parallel with comparable data from Parkinson disease (PPMI) to look for predictors of course, and for early classifiers of disease, and dementia.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Investigator-Initiated Intramural Research Projects (ZIA)
Project #
1ZIAAG000950-18
Application #
10005775
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
18
Fiscal Year
2019
Total Cost
Indirect Cost
Name
National Institute on Aging
Department
Type
DUNS #
City
State
Country
Zip Code
Sassi, Celeste; Nalls, Michael A; Ridge, Perry G et al. (2018) Mendelian adult-onset leukodystrophy genes in Alzheimer's disease: critical influence of CSF1R and NOTCH3. Neurobiol Aging 66:179.e17-179.e29
Sargent, Lana; Nalls, Mike; Starkweather, Angela et al. (2018) Shared biological pathways for frailty and cognitive impairment: A systematic review. Ageing Res Rev 47:149-158
Ridge, Perry G; Karch, Celeste M; Hsu, Simon et al. (2018) Correction to: Linkage, whole genome sequence, and biological data implicate variants in RAB10 in Alzheimer's disease resilience. Genome Med 10:4
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Guerreiro, Rita; Escott-Price, Valentina; Darwent, Lee et al. (2016) Genome-wide analysis of genetic correlation in dementia with Lewy bodies, Parkinson's and Alzheimer's diseases. Neurobiol Aging 38:214.e7-214.e10
Barber, Imelda S; García-Cárdenas, Jennyfer M; Sakdapanichkul, Chidchanok et al. (2016) Screening exons 16 and 17 of the amyloid precursor protein gene in sporadic early-onset Alzheimer's disease. Neurobiol Aging 39:220.e1-7

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