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Yosuke Tanigawa is a Ph.D. candidate in Biomedical Informatics program at Stanford University. His research interests are in various topics in population genomics, specifically focusing on analysis of large-scale datasets.

He is currently working with Dr. Manuel Rivas and Dr. Gill Bejerano.

Please check CV, Publications, and/or Google Scholar profile for list of publications and pre-prints. Please also check Resources page for datasets, analysis and visualization scripts, and web applications from our research activities (mainly from the Rivas lab and the Bejerano lab).

Research interests

• Application of statistical genetics for human disease genetic studies. I am specifically interested in analysis of population biobanks.
  • Y. Tanigawa*, J. Li*, et al., Nat Commun. 10, 1-14 (2019).
  • Y. Tanigawa, et al., PLOS Genetics. 16, e1008682 (2020).
  • G. McInnes, Y. Tanigawa, et al., Bioinformatics (2019).
• Statistical and computational method development for large-scale datasets in the context of human genomic studies.
  • J. Qian, Y. Tanigawa, et al., bioRxiv, 630079 (2019).
  • J. Qian, Y. Tanigawa, et al., bioRxiv, 2020.05.30.125252 (2020).
• Functional analysis of non-coding regions in the human genome. I am specifically interested in analysis of transcription factors.
  • Y. Tanigawa*, E. S. Dyer*, G. Bejerano, bioRxiv, 730200 (2019).

News

• 2020/9/1 (scheduled): Yosuke will give an oral presentation at Informatics in Biology, Medicine, and Pharmacology virtual conference (annual meeting of Japanese Society of Bioinformatics).
• 2020/8/4: Yosuke performed several science outreach talks to Japanese high schoolers.
• 2020/5/5: New Publication. “Rare protein-altering variants in ANGPTL7 lower intraocular pressure and protect against glaucoma” was published in PLOS Genetics.
  • 2020/6/8 Update: This paper was highlighted as Editors’ Choice in Science!
  • 2020/7/14 Update: We made the supplementary data associated with this publication via figshare. They recently wrote a case study. Thank you very much for providing this awesome platform!
• 2020/6/25: Yosuke’s semi-annually report (in Japanese) to the Funai Foundation is posted on their website. He wrote a short commentary on the recent publication as well as the increasingly important role of scientific communication in the context of the COVID-19.
• 2020/6/25: New Manuscripts. We have several preprints from the Rivas lab. Yosuke is very excited to be part of those projects.
  • “Pervasive additive and non-additive effects within the HLA region contribute to disease risk in the UK Biobank”
  • “Large-Scale Sparse Regression for Multiple Responses with Applications to UK Biobank”
  • “Fast Sparse-Group Lasso Method for Multi-response Cox Model with Applications to UK Biobank”
• 2020/4/12: COVID-19 host genetics に関する研究と題した研究紹介記事を書きました。Yosuke also wrote a brief summary of this COVID-19 related research activities in Japanese.
• 2020/4/12: 日本語のプロフィールページを開設しました。(He created a Japanese version of the landing page.)
• 2020/4/9: New Publication. “Assessing Digital Phenotyping to Enhance Genetic Studies of Human Diseases” led by Christopher DeBoever was published in the American Journal of Human Genetics. Yosuke contributed as the 2nd author. We have a share link that allows people to download the full text pdf file before June 26, 2020. Congratulations, Chris!!
• 2020/4/6: Yosuke migrated his website from his previous website.
• 2020/3/27: Our preprint on COVID-19 host genetic analysis was mentioned in a news article in Science.
• 2020/3/24: New Manuscript. Yosuke and Dr. Manuel Rivas posted a manuscript, titled “Initial Review and Analysis of COVID-19 Host Genetics and Associated Phenotypes”.
• 2020/3/17: New Resource. Yosuke and his colleagues in the Rivas Lab investigates the genetic basis of COVID-19 susceptibility and severity, as a part of COVID-19 Host Genetics Initiative. We released GitHub repository for COVID-19 Host Genetics analysis.

Contact

Email is the best contact to reach out to me. If you don’t get reply within 2 days, please don’t hesitate to follow-up. Thank you very much for interested in my work.

• Email: yosuke <dot> tanigawa [at] stanford <dot> edu
• Social media accounts can be found on the left (for PC) or “Follow” button on the top (for smartphone).