Author

Randall Griffith

University of Alabama at Birmingham

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Assay:GWAS summary statistics· 1 Assay:imaging· 1 Research Focus:polygenic risk· 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 Bryan M. Spann· 2 shared Clifford R. JackiD· 2 shared Daniel C. MarsoniD· 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

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

Masataka Kikuchi, Akinori Miyashita, Norikazu Hara, Kensaku Kasuga, Yuko Saito, Shigeo Murayama, Akiyoshi Kakita, Hiroyasu Akatsu, Kouichi Ozaki, Shumpei Niida, Ryozo Kuwano, Takeshi Iwatsubo, Akihiro Nakaya, Takeshi Ikeuchi, the Alzheimer’s Disease Neuroimaging Initiative, , 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.

Alzheimer s Research & Therapy · Feb 27, 2024Peer-reviewedGenetic & Genomic Medicine

Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification

Kilian Hett, Vinh‐Thong Ta, Gwénaëlle Catheline, Thomas Tourdias, José V. Manjón, Pierrick Coupé A, Alzheimer’s Disease Neuroimaging Initiative, Michael Walter Weiner, Paul S. S Aisen, Ronald Carl Petersen, Clifford R. Jack, William J. Jagust, John Q. Trojanowki, Arthur W. Toga, Laurel A. Beckett, , Randall Griffith

This study compares whole hippocampus and subfield biomarkers for Alzheimer’s disease detection and prediction using multimodal MRI data, finding subiculum biomarkers improve prediction accuracy.

Scientific Reports · Sep 25, 2019Peer-reviewedNeuroscience