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Integrative Genomic Predictive Medicine Lab (Tohoku Medical Megabank Organization)
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A lab aiming to predict and prevent disease based on the genome and epigenome.

AboutAbout the lab
Connecting the genome that cannot be changed with the lifestyle that can.
The Integrative Genomic Predictive Medicine lab studies the prediction and prevention of disease based on genome and epigenome information from the Tohoku Medical Megabank Project.
The lab considers the genome, which cannot be changed, together with the epigenome and lifestyle habits, which can, and aims to link them to early intervention.
The lab works on research that assesses biological age with epigenetic clocks, and research that examines the relationship between polygenic scores and lifestyle habits.
The lab also promotes education and outreach on genome research, statistical genetics, and aging research.
Key terms
- Epigenetic clock
- A measure that estimates biological age from DNA methylation status
- Polygenic score
- A measure that combines the effects of many genetic variants into a single value representing susceptibility to a disease
- Multi-omics
- An approach that combines data on multiple types of molecules, such as the genome, proteins, and metabolites
ResearchResearch themes
The genome cannot be changed, but the epigenome and lifestyle habits can. By considering both together, this lab aims to realize medicine that leads to disease prediction, prevention, and early intervention.
*Illustrative imageGenetic risk and lifestyle
Based on the large-scale genome data of the Tohoku Medical Megabank Project, the lab analyzes interactions between polygenic scores and the environment and lifestyle habits. This leads to assessing genetic risk tailored to each individual.
*Illustrative imageThe epigenome and biological age
In the Epigenome Data Office, the lab carries out whole-genome DNA methylation analysis. It organizes epigenome data and promotes its use in Japan and abroad, and works on assessing biological age with epigenetic clocks and on intervention studies.
*Illustrative imageDisease prediction with multi-omics and AI
The lab layers image, video, and lifestyle data onto the genome, transcriptome, proteome, metabolome, and metagenome, and develops AI models that predict disease.
*Illustrative imageResearch on aging and biological age
Centered on epigenetic clocks, the lab quantitatively evaluates how lifestyle habits and physical activity affect biological age. It explores how far aging can be controlled.
MembersFaculty
- ProfessorAtsushi Shimizu
- LecturerShiori Minabe
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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 NextSeq 500” Konrad Förstner / CC BY 2.0 (cropped)
- Genetic risk and lifestyle: “DNA Helix CPK” Ude / Public domain (cropped)
- The epigenome and biological age: “Epigenetic mechanisms” National Institutes of Health / Public domain (cropped)
- Disease prediction with multi-omics and AI: “Typical-workflow” Volkdentoklin / CC BY-SA 4.0 (cropped)
- Research on aging and biological age: “Elderly woman walking towards the camera on a snowy walkway, Promenadeplatz, Munich, Germany julesvernex2” Jules Verne Times Two / CC BY-SA 4.0 (cropped)
- Related lab (Clinical Epidemiology Lab (Tohoku Medical Megabank Organization)): “Mother and newborn baby, Moscow, Russia” Vyacheslav Argenberg / CC BY 4.0 (cropped)
- Related lab (Genome Preventive Medicine Lab (Tohoku Medical Megabank Organization)): “Laboratory microcentrifuge tubes and pipette tips 02” Gannu03 / CC BY-SA 4.0 (cropped)
- Related lab (Personalized Prevention and Epidemiology Lab (Tohoku Medical Megabank Organization)): “Pacific Partnership 2024-1- Community Health Engagement in Fefan (8196722)” U.S. Navy photo by Petty Officer 2nd Class Jacob Woitzel / Public domain (cropped)
- Related lab (Developmental Neuroscience Lab (Center for Creative and Applied Medicine)): “SUM 110913 Cort Neurons 2.5d in vitro 488 Phalloidin no perm 4 cmle-2” Howard Vindin / CC BY-SA 4.0 (cropped)
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