Author

Charles D. Smith

University of KentuckyORCID 0000-0001-8292-9857Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1 Research Focus:polygenic risk· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Adam FleisheriD· 2 shared Angela OliveriD· 2 shared Arthur W. TogaiD· 2 shared Beau M. AncesiD· 2 shared Betty Lind· 2 shared Brittany CerboneiD· 2 shared Bryan M. Spann· 2 shared Chiadi U. OnyikeiD· 2 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Adam FleisherORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicineAlzheimer s Research & TherapyPeer-reviewedFeb 27, 2024

Polygenic effects on the risk of Alzheimer's disease in the Japanese population

Masataka Kikuchi, Akinori Miyashita, Norikazu Hara…·Gary R. Conrad

This paper evaluates the polygenic risk score for Alzheimer's disease in Japanese individuals, showing its utility despite genetic differences from European populations.

19 citationstop 4%

humanGWAS summary statistics

𝕏 PostBluesky

NeuroscienceScientific ReportsPeer-reviewedMar 10, 2019

A blood-based signature of cerebral spinal fluid Aβ1-42 status

Benjamin Goudey, Bowen John Fung, Christine Schieber…·Kyle B. Womack

This paper develops a blood-based machine learning model to predict cerebral spinal fluid Aβ1-42 levels, showing high accuracy in identifying Alzheimer's disease risk.

25 citations

humanproteomics

𝕏 PostBluesky