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Yosuke Tanigawa is a Postdoctoral Associate at MIT Computational Biology Lab (PI: Dr. Manolis Kellis).

Yosuke works at the intersection of statistical genetics and computational biology. Specifically, he develops computational and statistical methods to dissect disease heterogeneity and apply them in systematic analyses of large-scale phenotypic, genetic, epigenomic, functional genomic, and single-cell genomic datasets.

Before joining MIT, he completed his doctoral training at Stanford University (Ph.D. in Biomedical Informatics), working with Dr. Manuel Rivas and Dr. Gill Bejerano.

Please check his CV, the Publications page, and his Google Scholar profile. He also maintains the Resources page, where you may browse datasets, analysis and visualization scripts, and web applications from his research activities.

Research interests

I work in the following three research areas.

Disease heterogeneity dissection through development of statistical and computational methods
- Decomposition of Genetic Associations: Tanigawa*, Li*, et al., Nat Commun. (2019).
- Ontology-guided stratified enrichment of transcription factor binding sites: Tanigawa*, Dyer*, Bejerano, PLoS Comput Biol (2022).
Polygenic scores methodology and applications.
- Multi-ancestry: Tanigawa and Kellis, Am J Hum Genet. (2023)
- Multi-trait: Sinnott-Armstrong*, Tanigawa*, et al., Nat Genet. (2021).
Therapeutic target discovery using human genetics.
- ANGPTL7, intraocular pressure, and glaucoma: Tanigawa, et al., PLoS Genet. (2020).
- Blood and urine biomarkers: Sinnott-Armstrong*, Tanigawa*, et al., Nat Genet. (2021).

Research overview

The video above is from the CSAIL Computational Biology Lab Tour in 2024, a research overview tailored for the industry audience.

Upcoming presentations

2024/12/17: Yosuke will present at the Program in Quantitative Genomics Working Group, Harvard TH Chan School of Public Health.
2024/11/25: Yosuke will present at the Machine Learning Tea (ML Tea) talk at MIT CSAIL.
2024/11/6: Yosuke will present at the American Society of Human Genetics 2024 Annual Meeting.
- 11:30-45 am, Room 505: Session 24 - The Sex-Specific Landscape: Variation, Regulation, and Expression

News

2024/10/22: New Publication. Tanigawa and Kellis. “Hypometric genetics: Improved power in genetic discovery by incorporating quality control flags.” We introduce “hypometric genetics,” an approach to investigate the genetic basis of binarized traits representing the presence of below-the-limit-of-quantification (BLQ) quality control indicators. Links to Article full text and MIT CSAIL News.
2024/9/19: Yosuke will presented at Southern California Symposium on Polygenic Risk Scores.
2024/5/29: New Publication. Ohta*, Tanigawa* et al. “A polygenic score method boosted by non-additive models.” We developed GenoBoost, a polygenic score modeling approach, incorporating both additive and non-additive genetic dominance effects. Links to Article full text and MIT CSAIL News.
2024/5/18: Yosuke presented at Boston Japanese Researchers Forum (in Japanese).
2024/5/1: Yosuke presented at the Conference on Statistics in Genomics and Genetics (STATGEN 2024)
2024/4/29: Yosuke presented at RECOMB-Genetics 2024.
2024/4/16: Yosuke presented at Biosoc seminar at Princeton University.
2024/3/1: Yosuke presented at the 70th Biometric Colloquium – Navigating the Sea of Data: Biometrics Guides the Way – at Lübeck.
2024/2/26: Yosuke will presented at the Institute for Medical Biometry, Informatics and Epidemiology (IMBIE) at the University of Bonn.
2024/1/1: Happy New Year!
cf. News Archive

Blog posts

I write blog posts mostly on computing tips, including:

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 the “Follow” button on the top (for smartphone).