Rchr
J-GLOBAL ID：201801002827589633   Update date: Apr. 19, 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  (6)：
  • 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
  • 2016 - 2018 Development of molecular-targeted therapy with miRNA inhibitors modifying DNA-Damage-Response
Show all
Papers (39)：
  • Xiaoxi Liu, Satoshi Koyama, Kohei Tomizuka, Sadaaki Takata, Yuki Ishikawa, Shuji Ito, Shunichi Kosugi, Kunihiko Suzuki, Keiko Hikino, Masaru Koido, et al. Decoding triancestral origins, archaic introgression, and natural selection in the Japanese population by whole-genome sequencing. Science Advances. 2024
  • Mingyang Shi, Chizu Tanikawa, Hans Markus Munter, Masato Akiyama, Satoshi Koyama, Kohei Tomizuka, Koichi Matsuda, Gregory Mark Lathrop, Chikashi Terao, Masaru Koido, et al. Genotype imputation accuracy and the quality metrics of the minor ancestry in multi-ancestry reference panels. Briefings in Bioinformatics. 2024
  • Yunye He, Masaru Koido, Yoichi Sutoh, Mingyang Shi, Yayoi Otsuka-Yamasaki, Hans Markus Munter, Yoishinori Murakami, Takayuki Morisaki, Akiko Nagai, Yoshinori Murakami, et al. East Asian-specific and cross-ancestry genome-wide meta-analyses provide mechanistic insights into peptic ulcer disease. Nature Genetics. 2023
  • Masaru Koido. Polygenic modelling and machine learning approaches in pharmacogenomics: importance in downstream analysis of genome-wide association study data. British journal of clinical pharmacology. 2023
  • Nao Otomo, Anas M. Khanshour, Masaru Koido, Kazuki Takeda, Yukihide Momozawa, Michiaki Kubo, Yoichiro Kamatani, John A. Herring, Yoji Ogura, Yohei Takahashi, et al. Evidence of causality of low body mass index on risk of adolescent idiopathic scoliosis: a Mendelian randomization study. Frontiers in Endocrinology. 2023. 14
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MISC (16)：
  • Martin Dichgans, Rainer Malik, Nathalie Beaufort, Koki Tanaka, Marios Georgakis, Yunye He, Masaru Koido, Chikashi Terao, Christopher Anderson, Yoichiro Kamatani. Genetically proxied HTRA1 protease activity and circulating levels independently predict risk of ischemic stroke and coronary artery disease. Research Square. 2023
  • Mingyang Shi, Chizu Tanikawa, Hans Markus Munter, Masato Akiyama, Satoshi Koyama, Kohei Tomizuka, Koichi Matsuda, Gregory Mark Lathrop, Chikashi Terao, Masaru Koido, et al. Genotype imputation accuracy and the quality metrics of the minor ancestry in multi-ancestry reference panels. bioRxiv. 2023
  • Yunye He, Masaru Koido, Yuka Shimmori, Yoichiro Kamatani. GWASLab: a Python package for processing and visualizing GWAS summary statistics. 2023
  • 竹内耀平, HE Yunye, 小井土大, LIU Xin, 糸川直樹, 森崎隆幸, 松田浩一, 鎌谷洋一郎. Genome-wide association studies in a Japanese population identify genetic influences on human blood metabolites. 日本分子生物学会年会プログラム・要旨集(Web). 2023. 46th
  • Yunye He, Masaru Koido, Yoichi Sutoh, Mingyang Shi, Yayoi Otsuka-Yamasaki, Hans Markus Munter, Takayuki Morisaki, Akiko Nagai, Yoshinori Murakami, Chizu Tanikawa, et al. East Asian-specific and cross-ancestry genome-wide meta-analyses provide mechanistic insights into peptic ulcer disease. medRxiv. 2022
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Books (9)：
  • 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
    2023
  • MENTR: A Machine Learning Approach for Predicting Non-coding RNA transcription from Genome Sequences
    2023
  • 空間トランスクリプトーム 深層学習を活用したVisium測定結果の超解像度化
    2022
  • Statistical Genetics<遺伝統計学の基礎> (13)連鎖不平衡スコア回帰とその拡張手法
    2022
  • Statistical Genetics<遺伝統計学の基礎>(12)全ゲノム回帰モデルを用いた量的形質と質的形質に対する全ゲノム関連解析
    2022
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Lectures and oral presentations  (40)：
  • How can we interpret the results of human genetic association studies?
    (CRH Symposium (Cellular & Molecular Basis of Reproductive Health), Hudson Institute of Medical Research 2023)
  • ”木”を使った予測のための機械学習
    (日本網膜硝子体学会DSDPワークショップ 2023)
  • Statistical genetics- and machine learning-based approaches to better understand drug safety
    (Pharmacogenomics in 2023: Big Studies, Big Results, Big Implications, Big Responsibilities, 19th World Congress of Basic & Clinical Pharmacology 2023 2023)
  • Genome-wide association studies in a Japanese population identify genetic influences on human blood metabolites
    (日本分子生物学会年会プログラム・要旨集(Web) 2023)
  • 健診情報とゲノム情報の統合による疾患予防システムの構築
    (人間ドック 2023)
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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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