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Advanced Data Medical Science Lab
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The lab uses genome and omics data to study how diseases arise.
AboutAbout the lab
Data science to understand how diseases arise.
The Advanced Data Medical Science Lab aims to understand and overcome diseases using human genome and omics data.
It seeks to uncover how hereditary diseases and lifestyle-related diseases develop, and to transform prevention, diagnosis, and treatment based on genome and omics information.
The lab combines large-scale genome analysis with transcriptome and proteome analysis, functional analysis, and disease models.
The lab was newly established as a lab that advances data-driven medical science, carrying on the tradition of the Department of Biochemistry I in the Faculty of Medicine at Chiba University.
Key terms
- Genome
- The entire set of genetic information carried by an organism
- Omics
- A research approach that comprehensively investigates the molecules inside cells, such as genes and proteins, all together
- Polygenic score
- A numerical value that adds up many genetic differences to express how susceptible a person is to a disease
NewsLab news
View More ↗ResearchResearch themes
The lab's themes are "through data science" and "from human genome and omics to understanding and overcoming disease." Its research spans from the molecular level to the individual and population levels, covering everything from identifying disease susceptibility genes to multi-layered omics analysis and building risk prediction models.
*Illustrative imageGenomic Basis of Disease
Using large-scale genome data, the lab identifies susceptibility genes involved in diseases and the regions that regulate gene activity.
*Illustrative imageMulti-Ethnic Cohort Analysis
The lab evaluates disease risk while taking into account the genetic diversity of each population, and compares genetic structure across populations.
*Illustrative imageDeveloping Polygenic Scores
The lab builds models that add up many genetic differences to predict each individual's risk of developing a disease.
*Illustrative imageUnderstanding Disease with Multi-Omics
By integrating genome, transcriptome, and proteome analyses, the lab identifies the molecular mechanisms by which diseases occur.
MembersFaculty
The lab's members include faculty, technical staff, secretaries, collaborating researchers, and graduate students.As of 2026
- ProfessorKaoru Ito
- LecturerKatsuro Iwase
- Project LecturerShogo Moriya
- Assistant ProfessorMasahiro Satoh
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Illumina Hiseq 2000 sequencers, BGI Hong Kong sequencing room” Scotted400 / CC BY 3.0 (cropped)
- Genomic Basis of Disease: “DNA translation example” U.S. Department of Energy Human Genome Program / Public domain (cropped)
- Multi-Ethnic Cohort Analysis: “2019 Feb 04 - Kumbh Mela - Mauni Amavasya Crowd 16” Michael T Balonek / CC BY-SA 4.0 (cropped)
- Developing Polygenic Scores: “Revolocity DNA sequencer” Scotted400 / CC BY 4.0 (cropped)
- Understanding Disease with Multi-Omics: “Bruker HCTultra mass spectrometer June2007” Mwillett4000 / Public domain (cropped)
- Related lab (感染病態学): “SARS-CoV-2 scanning electron microscope image” National Institute of Allergy and Infectious Diseases (NIAID) / CC BY 2.0 (cropped)
- Related lab (分子腫瘍学): “ABI PRISM 3100 Genetic Analyzer 2” Mark Pellegrini / CC BY-SA 3.0 (cropped)
- Related lab (実験免疫学): “T Lymphocyte ( )” NIAID / CC BY 2.0 (cropped)
- Related lab (国際アレルギー粘膜免疫学): “Mast Cell (NIH BioArt )” Courtesy of NIAID Ryan Kissinger / Public domain (cropped)
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