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Profil bibliographique

Liya Rabkina

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

2Publications signalées
0Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Alzheimer's disease research and treatmentsAmyotrophic Lateral Sclerosis ResearchDementia and Cognitive Impairment ResearchPrion Diseases and Protein Misfolding

Les publications récentes

Accès ouvert 2026 article OpenAlex

Early onset rapidly progressive frontotemporal dementia due to a novel MAPT P301A variant with functional validation of pathogenicity

Kiet Hua, Maryam R. Pearson, Brandon I. Apresa, Jesseca M. Chung et autres

Abstract Frontotemporal dementia represents a group of clinical syndromes characterized by progressive changes in behavior or language that are associated with frontotemporal lobe atrophy. Around 40% of FTD cases are familial, with mutations in MAPT representing a major familial form. Among MAPT …

us (code pays fourni par la source)

0 citations npj Dementia
Accès ouvert 2025 article OpenAlex

Bridging neurodevelopment and neurodegeneration in genetic frontotemporal dementia and Alzheimer's disease

Youjin Jung, Jolina Lombardi, Rowan Heffelfinger, Sarah Inkelis et autres

BACKGROUND: The current conceptualization of genetic frontotemporal dementia (FTD) and Alzheimer's disease (AD) is that they are neurodegenerative diseases characterized by symptoms that develop late in life. Yet, studies in animal models and humans support the notion that autosomal dominant genes, whose …

us, gb (code pays fourni par la source)

0 citations Alzheimer s & Dementia
Accès ouvert 2025 preprint OpenAlex

Random forest model improves annotation and discovery of variants of uncertain significance in Alzheimer’s and other neurological disorders

Caroline Jonson, Mary B. Makarious, Mathew J. Koretsky, Dan Vitale et autres

Variants of uncertain significance (VUS) are a bottleneck for genetic discovery and complicate clinical decision-making in Alzheimer's disease and related neurological disorders (ADRD). We developed MoVUS: Model for Variants of Unknown Significance, a random-forest approach that integrates functional predictors to classify missense …

us, gb (code pays fourni par la source)

0 citations bioRxiv (Cold Spring Harbor Laboratory)

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