jMorp

jMorp aggregates multi-omics datasets for the Japanese population, integrating genomic, methylomic, transcriptomic, and metabolomic data to support biomarker discovery and population-specific analyses.

Key Features:

• Integrated Omics Data: Consolidates genomic, methylomic, transcriptomic, and metabolomic datasets for comprehensive multi-omics analyses.
• Genome: Provides a Japanese reference sequence derived from de novo assembly of sequences from three individuals and allele frequencies determined by whole-genome sequencing of 8,380 Japanese participants.
• Methylome and Transcriptome: Includes methylome and transcriptome profiling data from approximately 300 samples.
• Metabolome: Contains distributions of concentrations for over 755 metabolites measured using nuclear magnetic resonance and high-sensitivity mass spectrometry.

Scientific Applications:

• Biomarker discovery: Enables identification of disease-associated molecular biomarkers through integrated multi-omics comparisons.
• Personalized medicine: Supports research into individualized risk assessment, prevention, and early diagnosis using population-specific omics data.
• Population-specific genetic analysis: Facilitates analysis of Japanese-specific allele frequencies and reference sequences for studies of genetic variation.

Methodology:

De novo genome assembly from three individuals; whole-genome sequencing to derive allele frequencies from 8,380 participants; methylome and transcriptome profiling of ~300 samples; metabolomic profiling using nuclear magnetic resonance and high-sensitivity mass spectrometry as part of analyses by the Tohoku Medical Megabank project.