Kouichi Ozaki

Professor

National Center for Geriatrics and Gerontology

Japan

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About

Kouichi Ozaki is a Professor at the National Center for Geriatrics and Gerontology in Japan. His research focuses on dementia, Alzheimer's disease, and cardiovascular health, with recent articles exploring whole-genome sequencing, CRISPR/Cas9 technology, and deep-learning methodologies for disease prediction and biomarker identification. He is particularly noted for his work in identifying genetic variants associated with late-onset Alzheimer's disease and analyzing immune landscapes for early diagnosis.

Articles (12)

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2020

Collaborators (5)

Hiroshi Akazawa

University of Tokyo

JAPAN

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Takeshi Ikeuchi

Professor

Brain Research Institute, Niigata University

JAPAN

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Kazuo Miyazawa

Broad Institute of MIT and Harvard

UNITED STATES

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Shinya Oki

特定准教授 / Program-Specific Associate Professor

Kyoto University

JAPAN

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Zhaonan Zou

Assistant Professor

Kumamoto University

JAPAN

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Kouichi Ozaki

Research Interests

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Articles (12)

Whole-genome sequencing to identify rare variants in East Asian patients with dementia with Lewy bodies

CRISPR/Cas9-mediated knock-in cells of the late-onset Alzheimer’s disease-risk variant, SHARPIN G186R, reveal reduced NF-κB pathway and accelerated Aβ secretion

Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk prediction

Classification and deep-learning–based prediction of Alzheimer disease subtypes by using genomic data

A functional variant of SHARPIN confers increased risk of late-onset Alzheimer’s disease

Deep learning-based age estimation from chest X-rays indicates cardiovascular prognosis

Identification of potential blood biomarkers for early diagnosis of Alzheimer’s disease through immune landscape analysis

Whole-genome sequencing reveals novel ethnicity-specific rare variants associated with Alzheimer’s disease

Structural and numerical Y chromosomal variations in elderly men identified through multiplex ligation-dependent probe amplification

JAMIR-eQTL: Japanese genome-wide identification of microRNA expression quantitative trait loci across dementia types.

Ethnic and trans-ethnic genome-wide association studies identify new loci influencing Japanese Alzheimer's disease risk.

Prognosis prediction model for conversion from mild cognitive impairment to Alzheimer's disease created by integrative analysis of multi-omics data.

Collaborators (5)

Hiroshi Akazawa

Takeshi Ikeuchi

Kazuo Miyazawa

Shinya Oki

Zhaonan Zou

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