Rchr
J-GLOBAL ID:200901093628305150   Update date: Feb. 15, 2024

Niida Shumpei

Niida Shumpei
Affiliation and department:
Other affiliations (1):
Homepage URL  (1): http://www.ncgg.go.jp/mgc/index.html
Research field  (2): Genomics ,  Anatomy
Research keywords  (1): data science
Research theme for competitive and other funds  (16):
  • 2021 - 2024 クロマチンと遺伝子発現の網羅的解析の併用による組織特異的石灰化機序の同定
  • 2016 - 2021 Organized registrateion for the assessment of dementia on nationwide general consortium toward effective treatment in Japan
  • 2016 - 2021 Construction of integrated database of clinical and genomics information and sustainable system for promoting genomic medicine in Japan
  • 2016 - 2019 Development of clinical genome database of dementia
  • 2014 - 2017 Development of bone regeneration strategies by controlling the epigenetic state of bone lining cells.
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Papers (147):
  • 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
  • Motoki Furutani, Mutsumi Suganuma, Shintaro Akiyama, Risa Mitsumori, Marie Takemura, Yasumoto Matsui, Shosuke Satake, Yukiko Nakano, Shumpei Niida, Kouichi Ozaki, et al. RNA-sequencing analysis identification of potential biomarkers for diagnosis of sarcopenia. The journals of gerontology. Series A, Biological sciences and medical sciences. 2023
more...
MISC (75):
Patents (2):
  • 2. 骨粗鬆症の診断および/または骨粗鬆症骨折リスクの予測の方法
  • 1. 歯周炎の発症を判定する方法
Books (1):
  • 骨粗鬆症ナビゲーター
    メディカルレビュー社 2001 ISBN:4896004337
Work history (1):
  • 2020/04 - 現在 National Center for Geriatrics and Gerontology Research institute Director General
Awards (4):
  • 2004 - 歯科基礎医学会 LION学術賞
  • 2004 - JOBS LION Award
  • 1995 - 山下太郎顕彰育英会 山下太郎学術研究奨励賞
  • 1995 - Yamashita Taro Memorial Award
Association Membership(s) (4):
THE JAPAN SOCIETY OF HUMAN GENETICS ,  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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