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Yosuke Tanigawa is a Postdoctoral Associate at MIT Computational Biology Lab (PI: Dr. Manolis Kellis). His research interests are in various topics in population genomics, specifically focusing on the analysis of large-scale datasets.

He completed his doctoral training at Stanford University (Ph.D. in Biomedical Informatics), where he worked 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 the analysis of population biobanks.
  • N. Sinnott-Armstrong*, Y. Tanigawa*, et al., Nature Genetics. (2021).
  • Y. Tanigawa, et al., PLOS Genetics. 16, e1008682 (2020).
  • G. McInnes, Y. Tanigawa, et al., Bioinformatics 35(14), 2495-2497 (2019).
• Statistical and computational method development for large-scale datasets in the context of human genomic studies.
  • Y. Tanigawa*, J. Li*, et al., Nat Commun. 10, 4064 (2019).
  • J. Qian, Y. Tanigawa, et al., PLOS Genetics. 16, e1009141 (2020).
  • 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 the analysis of transcription factors.
  • Y. Tanigawa*, E. S. Dyer*, G. Bejerano, bioRxiv, 730200 (2019).

Blog posts

I write blog posts mostly on computing tips, including:

• GWAS and genetic analyses with PLINK2 and pgenlibr
• Notes on Apache Columnar format
• Working with very small values in R
• Commonly used commands in high performance cluster computing with Slurm workload manager

News

• 2022/3/24: New Publication “Significant sparse polygenic risk scores across 813 traits in UK Biobank”. We performed a systematic assessment of the predictive performance of polygenic risk score (PRS) models across >1,500 traits in UK Biobank and report 813 PRS models with significant predictive performance.
• 2022/03/02: Yosuke presented polygenic score analyses at University of Osaka, Japan.
• 2022/01/28: Yosuke presented at Journal Club meeting at Debora Marks’s lab.
• 2022/01/27: Updated manuscript. We posted updated manuscript, titled Significant Sparse Polygenic Risk Scores across 813 traits in UK Biobank on medRxiv.
• 2022.01.01: Happy New Year!
• cf. News Archive

Contact

Email is the best contact to reach out to me. If you do not get a reply within two days, please do not hesitate to follow-up. Thank you very much for your interest in our work.

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