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Elyse Katz

Researcher at Pfizer

Publications -  10
Citations -  649

Elyse Katz is an academic researcher from Pfizer. The author has contributed to research in topics: Genome-wide association study & Hidden Markov model. The author has an hindex of 6, co-authored 10 publications receiving 553 citations.

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Journal ArticleDOI

A computational neurodegenerative disease progression score: Method and results with the Alzheimer's disease neuroimaging initiative cohort

TL;DR: This work proposes a widely applicable statistical methodology for creating a disease progression score (DPS), using multiple biomarkers, for subjects with a neurodegenerative disease, and found the Rey Auditory Verbal Learning Test delayed recall was found to be the earliest biomarker to become abnormal.
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Meta-Analysis for Genome-Wide Association Study Identifies Multiple Variants at the BIN1 Locus Associated with Late-Onset Alzheimer's Disease

TL;DR: A genome-wide association study in an independent set of 1034 cases and 1186 controls using the Illumina genotyping platforms, which replicated the original associations in both PICALM and CR1 and revealed two significant variants close to the APOE locus in limited linkage disequilibrium.
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Disease progression model for cognitive deterioration from Alzheimer's Disease Neuroimaging Initiative database

TL;DR: A mathematical model was developed to describe the longitudinal response in Alzheimer's Disease Assessment Scale‐cognitive (ADAS‐cog) obtained from the Alzheimer's disease Neuroimaging Initiative.
Proceedings ArticleDOI

Disease progression modeling using Hidden Markov Models

TL;DR: This study focuses on AD and shows that the proposed HMM model, when evaluated on the cross validation data, can identify more granular disease stages than the three currently accepted clinical stages of “Normal”, “MCI” (Mild Cognitive Impairment), and “AD”.
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Genome-wide association study identifies multiple novel loci associated with disease progression in subjects with mild cognitive impairment.

TL;DR: A genome-wide association study using clinical decline as measured by changes in the Clinical Dementia Rating-sum of boxes as a quantitative trait to test for single-nucleotide polymorphisms (SNPs) that were associated with the rate of progression in 822 Caucasian subjects of amnestic mild cognitive impairment (MCI).