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J-GLOBAL ID：201801002827589633   Update date: Mar. 26, 2025

Koido Masaru

コイド マサル | Koido Masaru
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Affiliation and department：
The University of Tokyo Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences

About The University of Tokyo Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences


Job title： Assistant Professor
Other affiliations (1)：
  • Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences  Visiting Scientist
Research field  (3)： Genomics ,  Genetics ,  Cell biology
Research keywords  (4)： Genomics ,  Molecular Cell Biology ,  Machine Learning ,  Statistical Genetics
Research theme for competitive and other funds  (7)：
  • 2023 - 2026 DNA配列機械学習モデルの予測根拠に基づく非翻訳RNAの発現特異性の解明
  • 2024 - 2026 Machine learning method for predicting transcriptomic regulation from small gene sets
  • 2022 - 2025 Exploring a novel function of nuclear transport molecules in male and female gametogenesis and elucidation of the infertility mechanism
  • 2020 - 2024 Elucidation for genetic regulation of enhancer expression and interpretation of genetic architecture in autoimmune diseases
  • 2020 - 2023 Deep learning on genome sequence to identify epistatic effects in complex diseases
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Papers (49)：
  • Naoki Kojima, Masaru Koido, Yunye He, Yuka Shimmori, Tsuyoshi Hachiya, Stéphanie Debette, Yoichiro Kamatani. Recurrent Stroke Prediction by Applying a Stroke Polygenic Risk Score in the Japanese Population. Stroke. 2025
  • Jack Flanagan, Xiaoxi Liu, David Ortega-Reyes, Kohei Tomizuka, Nana Matoba, Masato Akiyama, Masaru Koido, Kazuyoshi Ishigaki, Kyota Ashikawa, Sadaaki Takata, et al. Population-specific reference panel improves imputation quality for genome-wide association studies conducted on the Japanese population. Communications Biology. 2024
  • Tomoe Nobusada, Chi Wai Yip, Saumya Agrawal, Jessica Severin, Imad Abugessaisa, Akira Hasegawa, Chung Chau Hon, Satoru Ide, Masaru Koido, Atsushi Kondo, et al. Update of the FANTOM web resource: enhancement for studying noncoding genomes. Nucleic acids research. 2024
  • Satoshi Koyama, Xiaoxi Liu, Yoshinao Koike, Keiko Hikino, Masaru Koido, Wei Li, Kotaro Akaki, Kohei Tomizuka, Shuji Ito, Nao Otomo, et al. Population-specific putative causal variants shape quantitative traits. Nature genetics. 2024
  • Masaru Koido, Kohei Tomizuka, Chikashi Terao. Fundamentals for predicting transcriptional regulations from DNA sequence patterns. Journal of Human Genetics. 2024
ｍore...
MISC (29)：
  • Kohei Tomizuka, Masaru Koido, Akari Suzuki, Soichiro Yoshino, Nao Tanaka, Yuki Ishikawa, Xiaoxi Liu, Satoshi Koyama, Kazuyoshi Ishigaki, Yasuhiro Murakawa, et al. Predicted constrained accessible regions mark regulatory elements and causal variants. 2024
  • Norikazu Saiki, Yasunori Nio, Yosuke Yoneyama, Shuntaro Kawamura, Kentaro Iwasawa, Eri Kawakami, Kohei Araki, Junko Fukumura, Tsuyoshi Sakairi, Tamaki Kono, et al. Self-Organization of Sinusoidal Vessels in Pluripotent Stem Cell-derived Human Liver Bud Organoids. 2024
  • Stephanie Debette, Ilana Caro, Daniel Western, Shinichi Namba, Na Sun, Shuji Kawaguchi, Yunye He, Masashi Fujita, Gennady Roshchupkin, Tim D'Aoust, et al. Proteogenomics in cerebrospinal fluid and plasma reveals new biological fingerprint of cerebral small vessel disease. 2024
  • Naoki Kojima, Masaru Koido, Yunye He, Yuka Shimmori, Tsuyoshi Hachiya, Stéphanie Debette, Yoichiro Kamatani. Recurrent stroke prediction by applying a stroke polygenic risk score in the Japanese population. 2024
  • 笠原要, 塩見なぎさ, 瀬山倫子, 田中宏樹, 小井土大, 鎌谷洋一郎, 鈴木亨, 村上善則. Analysis of the influence of genetic risk on HbA1c changes before the onset of type 2 diabetes. 情報科学技術フォーラム講演論文集. 2024. 23rd
ｍore...
Lectures and oral presentations  (54)：
  • 200K transcribed enhancer atlas informs conserved regulatory elements and their links to complex traits
    (68th Annual meeting of Korean Society of Medical Genetics and Genomics (KSMGG) with 40th Educational symposium; 2024 Annual meeting of East Asian Union of Human Genetics Society (EAUHGS) 2024)
  • 生成AI時代のプログラミング基礎
    (CHUGAI Data Science Seminar in Ophthalmology [さあ、実践しよう] 2024)
  • Investigating genetic effects on height shrinkage in the East Asian population
    (American Society of Human Genetics (ASHG) 2024 Annual Meeting 2024)
  • Genome-wide quantitative trait locus mapping of serum proteins using whole-genome sequencing in a Japanese population
    (American Society of Human Genetics (ASHG) 2024 Annual Meeting 2024)
  • A genome-wide association study of human blood metabolite levels in the Japanese population elucidates genetic metabolic mechanisms
    (American Society of Human Genetics (ASHG) 2024 Annual Meeting 2024)
ｍore...
Education (2)：
  • 2011 - 2013 The University of Tokyo Graduate School of Frontier Sciences Department of Medical Genome Sciences
  • 2007 - 2011 The University of Tokyo The Faculty of Engineering Department of Materials Engineering
Professional career (1)：
  • Ph.D.
Work history (5)：
  • 2022/04 - 現在 The University of Tokyo Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences Assistant Professor
  • 2019/12 - 2022/03 Institute of Medical Science, The University of Tokyo Division of Molecular Pathology Project Assistant Professor
  • 2018/06 - 2019/12 RIKEN Center for Integrative Medical Sciences Postdoctoral Researcher
  • 2016/04 - 2018/05 Yokohama City University Department of Regenerative Medicine Project Research Associate
  • 2013/04 - 2016/03 Hamagin Research Institute, Ltd Researcher
Awards (1)：
  • 2024/03 - RIKEN Researcher Incentive Award (Oubu award) Prediction of the cell-type-specific transcription of non-coding RNAs from genome sequences via machine learning
Association Membership(s) (4)：
The Japan Society of Human Genetics ,  THE AMERICAN SOCIETY OF HUMAN GENETICS ,  THE JAPANESE ASSOCIATION FOR MOLECULAR TARGET THERAPY OF CANCER ,  THE JAPANESE CANCER ASSOCIATION
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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