Rchr
J-GLOBAL ID：201801002827589633   Update date: Nov. 14, 2024

Koido Masaru

コイド マサル | Koido Masaru
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)：
  • 2024 - 2027 Machine learning method for predicting transcriptomic regulation from small gene sets
  • 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
  • 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
Show all
Papers (46)：
  • 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
  • Alfred Pozarickij, Wei Gan, Kuang Lin, Robert Clarke, Zammy Fairhurst-Hunter, Masaru Koido, Masahiro Kanai, Yukinori Okada, Yoichiro Kamatani, Derrick Bennett, et al. Causal relevance of different blood pressure traits on risk of cardiovascular diseases: GWAS and Mendelian randomisation in 100,000 Chinese adults. Nature Communications. 2024. 15. 1
  • Akiko Oguchi, Akari Suzuki, Shuichiro Komatsu, Hiroyuki Yoshitomi, Shruti Bhagat, Raku Son, Raoul Jean Pierre Bonnal, Shohei Kojima, Masaru Koido, Kazuhiro Takeuchi, et al. An atlas of transcribed enhancers across helper T cell diversity for decoding human diseases. Science (New York, N.Y.). 2024. 385. 6704. eadd8394
  • Keiko Hikino, Satoshi Koyama, Kaoru Ito, Yoshinao Koike, Masaru Koido, Takayoshi Matsumura, Ryo Kurosawa, Kohei Tomizuka, Shuji Ito, Xiaoxi Liu, et al. RNF213 Variants, Vasospastic Angina, and Risk of Fatal Myocardial Infarction. JAMA cardiology. 2024
ｍore...
MISC (28)：
  • 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
  • 小井土大. 薬剤性肝障害の遺伝要因のメカニズム解明:ポリジェニックリスクスコアの実験的活用. 生体の科学. 2023. 74. 5. 490-491
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Lectures and oral presentations  (45)：
  • Genomic architecture of lowly expressed bidirectionally transcribed enhancers and their links to complex traits.
    (American Society of Human Genetics (ASHG) 2024 Annual Meeting 2024)
  • 200K transcribed enhancer atlas informs conserved regulatory elements and their links to complex traits
    (The 69th Annual Meeting of the Japan Society of Human Genetics (Poster Presentation Award Session) 2024)
  • From GWAS to Biology: Polygenic Risk Scores and Machine Learning Approaches
    (The 25th International Symposium on Microsomes and Drug Oxidations 2024)
  • Deep learning for spatial transcriptome with H&E-stained images
    (2024)
  • DNA配列依存的な転写予測AIの開発と遺伝的リスク解明への応用
    (第31回HAB研究機構学術年会 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) (5)：
The Japan Society of Human Genetics ,  International Stroke Genetics Consortium ,  THE AMERICAN SOCIETY OF HUMAN GENETICS ,  THE JAPANESE ASSOCIATION FOR MOLECULAR TARGET THERAPY OF CANCER ,  THE JAPANESE CANCER ASSOCIATION
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