新飯田俊平

Niida Shumpei

所属機関・部署：
職名：研究所長
その他の所属（所属・部署名・職名） (1件)：

ホームページURL (1件)： http://www.ncgg.go.jp/mgc/index.html

研究分野 (2件)：ゲノム生物学 , 解剖学

研究キーワード (1件)： data science

競争的資金等の研究課題 (16件)：

全件表示

論文 (150件)：

Naoki Saji, Yoshino Kinjo, Kenta Murotani, Shumpei Niida, Akinori Takeda, Takashi Sakurai. High pulse wave velocity is associated with enlarged perivascular spaces in dementia with Lewy bodies. Scientific reports. 2024. 14. 1. 13911-13911
Yuya Asanomi, Tetsuaki Kimura, Nobuyoshi Shimoda, Daichi Shigemizu, Shumpei Niida, Kouichi Ozaki. 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. Journal of human genetics. 2024
Daichi Shigemizu, Koya Fukunaga, Akiko Yamakawa, Mutsumi Suganuma, Kosuke Fujita, Tetsuaki Kimura, Ken Watanabe, Taisei Mushiroda, Takashi Sakurai, Shumpei Niida, et al. The HLA-DRB1*09:01-DQB1*03:03 haplotype is associated with the risk for late-onset Alzheimer's disease in APOE [Formula: see text]4-negative Japanese adults. npj aging. 2024. 10. 1. 3-3
Daichi Shigemizu, Shintaro Akiyama, Mutsumi Suganuma, Motoki Furutani, Akiko Yamakawa, Yukiko Nakano, Kouichi Ozaki, Shumpei Niida. Classification and deep-learning-based prediction of Alzheimer disease subtypes by using genomic data. Translational psychiatry. 2023. 13. 1. 232-232
Daichi Shigemizu, Shintaro Akiyama, Mutsumi Suganuma, Motoki Furutani, Akiko Yamakawa, Yukiko Nakano, Kouichi Ozaki, Shumpei Niida. Classification and deep-learning-based prediction of Alzheimer disease subtypes by using genomic data. Translational Psychiatry. 2023. 13. 1

MISC (75件)：

特許 (2件)：

書籍 (1件)：

経歴 (1件)：

受賞 (4件)：

所属学会 (4件)：

日本人類遺伝学会 , 日本骨代謝学会 , American Society for Bone and Mineral Research , Japanese Society for Bone and Mineral Research

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新飯田 俊平