ASHG 2026 · Tier 1 Academic

The University of Tokyo at ASHG 2026

Tokyo, Japan

The University of Tokyo at ASHG 2026 in Montréal: 11 presentations (8 posters, 3 platform talks); 7 research groups.

11
presentations on the program
7
research groups identified
1
Reviewers’ Choice abstracts

Explore everyone at ASHG 2026 →

OrganizationASHG 2026 Attendance
The University of Tokyo
Tokyo, Japan
6 PhD Students · 2 Faculty · 1 Staff Scientist · 1 Undergrad
Okada Labgenome.m.u-tokyo.ac.jp
Dry lab~27 people
Develops statistical methods for GWAS, whole-genome and whole-exome sequencing, and analyzes snRNA-seq data. Uses cross-biobank analyses for disease biology, drug discovery and biomarkers.
119 papers since 2024
Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
Nature, 2024
Author Correction: A genomic mutational constraint map using variation in 76,156 human genomes
Nature, 2024
Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference
Nature Genetics, 2024
Source: OpenAlex author A5037133689
Funded by JST
JST, 創発的研究支援事業 · active
“王准教授が、JST創発的研究支援事業に採択されました。”
Source: lab pages
10 platforms and techniques
Analyzes
whole-genome sequencing, whole-exome sequencing, snRNA-seq
Techniques
statistical genetics, genome-wide association studies, rare variant association studies, HLA/KIR imputation, metagenome-wide association study, cross-biobank analysis, drug repositioning
Source: lab pages
Currently hiring
“We are looking for graduate students who join our lab.”
Source: lab positions page
Poster
Thu Oct 22
4:15 pm
Integrated expression and chromatin accessibility QTL and GWAS colocalization of 29 FACS-sorted immune cells in East Asians reveals cell-type-specific regulatory mechanisms of immune-mediated disease
Molecular Effects of Genetic Variation
Collaborators: The University of Osaka, Kyoto University
Autoimmune disorderEpigeneticsGenome-wide association studyMulti-omics
Poster
Thu Oct 22
4:15 pm
★ Reviewers’ Choice
Deep learning of biobank-scale MRI images and genome-wide association studies reveal the polygenic and clinical insights of skeletal muscle composition
Artificial Intelligence and Machine Learning
Collaborators: The University of Osaka, Wakayama Medical University +4 more
Deep learningGenome-wide association studyPolygenic risk scoreSkeletal system
Talk
Fri Oct 23
1:30 pm
Multi-ancestry genome-wide association and multi-omics analyses elucidate spatio-cellular features of multiple sclerosis genetics
MAMO: Multi-Ancestry-Aware Multi-Omics Analysis for Complex Diseases
Collaborators: The University of Osaka, Wellcome Sanger Institute +9 more
Genome-wide association studyAutoimmune disorderMulti-omics
Laboratory of Complex Trait Genomicssites.google.com/edu.k.u-tokyo.ac.jp/kamatanilab
Dry lab~15 people
Analyzes human genome, omics, SNP-array and whole-genome-sequencing data with genetic statistics and learning theory. Studies complex traits, polygenic risk prediction and genomic medicine.
33 papers since 2024
Understanding the genetic complexity of puberty timing across the allele frequency spectrum
Nature Genetics, 2024
Decoding triancestral origins, archaic introgression, and natural selection in the Japanese population by whole-genome sequencing
Science Advances, 2024
Body mass index stratification optimizes polygenic prediction of type 2 diabetes in cross-biobank analyses
Nature Genetics, 2024
Source: OpenAlex author A5033755499
11 platforms and techniques
Analyzes
SNP arrays, Whole-genome sequencing, Deep sequencing
Techniques
Genome-wide association studies, Genetic statistics, Polygenic risk scores, Deep learning, HLA imputation, MHC fine-mapping, Dimensionality reduction, Structural-variation detection
Source: lab pages
Currently hiring
“複雑形質ゲノム解析分野では修士課程・博士課程の学生を絶賛大募集中です。”
Source: lab positions page
No funding stated
Poster
Fri Oct 23
2:30 pm
Genetic architecture of questionnaire-based lifestyle traits in a Japanese health check-up cohort
Complex Traits and Polygenic Disorders
Collaborators: Nippon Medical School
Genome-wide association studyGenetic epidemiologyBehaviorComplex traits
Poster
Fri Oct 23
2:30 pm
Genome-wide association studies of overall and organ-specific large language model-based aging gaps in a Japanese longitudinal cohort
Artificial Intelligence and Machine Learning
Collaborators: McGill University, Nippon Medical School
Genome-wide association studyArtificial intelligence
Dep. Genome Informatics, Graduate School of Medicine, The University of Tokyo & Lab. Systems Genetics, RIKEN Center for IMSgenome.m.u-tokyo.ac.jp/members.html
Dry lab~27 people
Develops statistical methods for GWAS, whole-genome/whole-exome sequencing and multi-omics data. Uses them to study disease biology, drug targets and biomarkers.
119 papers since 2024
Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
Nature, 2024
Author Correction: A genomic mutational constraint map using variation in 76,156 human genomes
Nature, 2024
Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference
Nature Genetics, 2024
Source: OpenAlex author A5037133689
14 platforms and techniques
Analyzes
Genome-wide association studies (GWAS), Whole-genome sequencing, Whole-exome sequencing, Single-cell omics, Metagenome-wide association study, JOB Japan Omics Browser, PheWeb.jp
Techniques
Statistical genetics, Rare variant association studies, HLA/KIR imputation, Deep-learning HLA imputation, Drug repositioning, Cross-biobank analysis, Metagenome-wide association study
Source: lab pages
Currently hiring
“We are looking for graduate students who join our lab.”
Source: lab positions page
No funding stated
Talk
Wed Oct 21
11:45 am
Rare, common, and repetitive variants and unexplored genetic features shape complex traits and nominate novel therapeutic targets in 67,609 Japanese whole genomes from Tohoku Medical Megabank
Mice, Mutations, and Molecular Mysteries
Collaborators: Tohoku University, RIKEN +2 more
Exome/genome sequencingLarge-scale biobanksRare variantsStatistical genetics
Department of Genome Informaticsgenome.m.u-tokyo.ac.jp
Dry lab~27 people
Develops statistical methods for GWAS, whole-genome and whole-exome sequencing, and analyzes snRNA-seq data. Uses cross-biobank analyses for disease biology, drug discovery and biomarkers.
119 papers since 2024
Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
Nature, 2024
Author Correction: A genomic mutational constraint map using variation in 76,156 human genomes
Nature, 2024
Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference
Nature Genetics, 2024
Source: OpenAlex author A5037133689
Funded by JST
JST, 創発的研究支援事業 · active
“王准教授が、JST創発的研究支援事業に採択されました。”
Source: lab pages
10 platforms and techniques
Analyzes
whole-genome sequencing, whole-exome sequencing, snRNA-seq
Techniques
statistical genetics, genome-wide association studies, rare variant association studies, HLA/KIR imputation, metagenome-wide association study, cross-biobank analysis, drug repositioning
Source: lab pages
Currently hiring
“We are looking for graduate students who join our lab.”
Source: lab positions page
Poster
Wed Oct 21
2:30 pm
A novel Bayesian framework using the liability threshold model effectively integrates genetic and clinical factors and improves the prediction of incident ischemic stroke in Biobank Japan
Statistical Genetics and Genetic Epidemiology
Cardiovascular systemGenome-wide association studyPolygenic risk score
Department of Neurologyutokyo-neurology.org
Wet + dry lab~17 people
Studies neurological disorders with next-generation sequencing, whole-exome analysis, GWAS, transcriptome analysis, neurophysiology. Develops mechanisms and therapies for Parkinson’s disease, multiple system atrophy and neuromuscular disorders.
73 papers since 2024
Widespread distribution of α-synuclein oligomers in LRRK2-related Parkinson’s disease
Acta Neuropathologica, 2025
Age-associated CD4 + T cells with B cell–promoting functions are regulated by ZEB2 in autoimmunity
Science Immunology, 2024
Clinicopathological study of dementia with grains presenting with parkinsonism compared with a typical case
Neuropathology, 2024
Source: OpenAlex author A5035924543
16 platforms and techniques
Works with
Next-generation sequencers, Whole-exome sequencing, GWAS, Transcriptome analysis, Protein mass spectrometry, Gas chromatography, 2D NMR, FACS
Techniques
In vitro functional studies, MPTP mouse model, Pedigree analysis, Case-control association studies, Autopsy brain analysis, Raman microspectroscopy, fMRI, Cell culture
Source: lab pages
No funding stated · No openings posted
Poster
Fri Oct 23
2:30 pm
Comprehensive genetic tests of genes responsible for hereditary Parkinson’s diseases and spinocerebellar ataxias in patients registered in Japan Multiple System Atrophy Registry
Complex Traits and Polygenic Disorders
Collaborators: University of Tokyo Hospital, International University of Health and Welfare +1 more
Clinical geneticsAtaxia
Division of Digital Genomicsat.hgc.jp/dgen?lang=en
Wet + dry lab~2 people
Analyzes SNP microarrays and single-cell RNA-seq. Develops CRISPRi screening in midbrain organoids for GWAS mechanisms and child health using the JECS cohort.
22 papers since 2024
Gene expression QTL mapping in stimulated iPSC-derived macrophages provides insights into common complex diseases
Nature Communications, 2025
Human skeletal muscle aging atlas
Nature Aging, 2024
Parental stress and food allergy phenotypes in young children: A National Birth Cohort ( JECS )
Allergy, 2024
Source: OpenAlex author A5020751833
8 platforms and techniques
Works with
SNP microarrays, CRISPR interference screening, Inducible dCas9-KRAB/dCas9-P300 hPSC system
Techniques
Genome-wide association studies, eQTL mapping, Gaussian process modeling, CRISPR perturbation, 2D neuronal differentiation
Source: lab pages
No funding stated · No openings posted
Poster
Wed Oct 21
2:30 pm
Single-cell CRISPRi/a profiling of Parkinson’s disease GWAS loci across neuronal differentiation states in human midbrain organoids
Molecular Effects of Genetic Variation
Collaborators: Tokai University
Expression quantitative trait lociGene regulationGenome editing/CRISPRNeurodegeneration
Ohashi Labbs.s.u-tokyo.ac.jp/…
Wet + dry lab~6 people
Analyzes genome-wide SNP, HLA, mtDNA and gene-expression/methylation data with statistical, population-genetic and coalescent methods. Studies human evolution, infectious-disease adaptation and Oceanian population history.
6 papers since 2024
Serum soluble PD-L1 predicts hepatocellular carcinoma development across distinct virological cohorts of chronic hepatitis C
Hepatology International, 2026
Genetic variation in the RETN promoter, accompanied by latent sarcopenic obesity, led to insulin resistance in a Japanese cohort: the Toon Genome Study
Diabetologia, 2024
Identification of the hybrid gene LILRB5-3 by long-read sequencing and implication of its novel signaling function
Frontiers in Immunology, 2024
Source: OpenAlex author A5101897885
16 platforms and techniques
Analyzes
Genome-wide SNP data, HLA, ABO, mtDNA, GWAS data, Gene-expression data, Methylation-region data, Whole Y-chromosome sequences
Techniques
Gene-sequence analysis, Polymorphism analysis, Population-genetic analysis, Coalescent simulation, Candidate-gene approach, Infectious-disease mathematical models, Field DNA sampling, Plasmodium falciparum studies
Source: lab pages
Currently hiring
“博士課程・修士課程の大学院生を募集しています。”
Source: lab positions page
No funding stated
Talk
Sat Oct 24
8:45 am
Genome haplotype orchestration via synthetic trajectory (GHOST): Reconstructing population-specific linkage disequilibrium for unrepresented ancestries using only summary statistics
Rethinking Genomic Discovery: New Methods for a Complex Genetic Landscape
BioinformaticsComputational toolsGenomicsPopulation genetics
1 more presenter — research group not yet identified

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