jMorp: Japanese Multi Omics Reference Panel
Shu Tadaka, Daisuke Saigusa, Ikuko N Motoike, Jin Inoue, Yuichi, Aoki, Matsuyuki Shirota, Masao Ueki, Satoshi Makino, Chinatsu Gocho,Kaname Kojima, Yuki Kagaya, Seizo Koshiba, Fumiki Katsuoka, Gen Tamiya, Atsushi Shimizu, Masayuki Yamamoto, Kengo Kinoshita(Tohoku Medical Megabank Organization、Tohoku University School of Medicine、Tohoku University Graduate School of Information Sciences, Iwate Medical Megabank Organization)

Tohoku Medical Megabank Organization (ToMMo) has completed the multi-omics (metabolome and proteome) analysis of 5093 plasma samples collectedfrom Japanese (male: 433, female: 575) residents who participated in the Tohoku Medical Megabank Project Community-Based Cohort Study. This data has
been integrated into the database “jMorp” (Japanese Multi Omics Reference Panel).
Metabolome data were measured by proton NMR and LC-MS, and proteome data were obtained by nanoLC-MS. As of June 2018, we released
distributions of concentrations of 37 metabolites identified by NMR, distributions of peak intensities of 257 characterized metabolites by LC-MS, andobserved frequencies of 256 abundant proteins (proteome data was measured with 501 plasma samples (male: 190, female: 311)). jMorp distributes not
only proteome and metabolome data, but also genomic data. From June 2018, we also started to publish single nucleotide variations (SNVs) and theirfrequencies among the 3,552 Japanese individuals from the ToMMo cohort. In the future, we will update genome and metabolome data with several
thousand samples, add results of association studies among them, and drive multi-layer analysis.

Omics Analysis
Omics Reference Panel
Gene Function
BiomarkerAnalysis
Detection
personalizedmedicine

GenomeReference Panel
Genome Analysis

HealthExamination
GWAS

epidemiologic
studys Methods
The plasma metabolome / proteome analysis
of about 10K people in total from thepopulation-based cohort by Tohoku Medical
Megabank Project

Tohoku Medicak Megabank Organization
Tohoku University Tohoku Medical Megabank
Organization (ToMMo) was founded to establish anadvanced medical system to foster thereconstruction from the Gread East Japan
Earthquake. The organization is developing abiobank that includes medical and genome
information for supporting health and wealfare inthe tohoku area.

ToMMo Biobank

Metabolomics

Genomics

・Serum・Plasma・Urine
・Mononuclear cell・Buffy Coat

WGS (3552)

・Serum・Plasma・Urine
・Mononuclear cell・DNA

NMR (10719)

HiSeq 2500

Bruker 600 MHz

J jMorp Website
Genome variant

Mass Spectrometry

Mass Spectrometry (1312)

GC-MS/MS(TQ8040)
UPLC-QTOF/MS(Synapt G2Si)

Bruker 600 MHz

Proteomics(501)

LC-MS/MS(TSQ Quantum
Ultra, TSQ
Quantiva)
LC-FT/MS(QExactive)

nanoLC-FT/MS(Orbitrap Fusion)(Orbitrap Elite)

nanoLC-FT/MS(Orbitrap Fusion)(Orbitrap Elite)

Statistics (metabolites / proteins)
Metabolites

Proteins

Compound ID
Compound name
Intensity
distribution

Chromosome,
AllelePosition,frequencies
Ref allele,in 1KGPAlt allele
Variant Annotations Allele frequency(rsID: dbSNP 150)
in 3.5KJPNv2(gene: GENCODE 28)

DetectionRate
Links toExternal DB
Peptide
list

data

Items

category

information

Basic
information

Sex, Age, BMI

All
compounds

basic statistics

NMR
metabolome

37 metabolites

MS metabolome(LC-MS)

165+4
metabolites

MS metabolome(GC-MS)

196 metabolites

MS proteome

256 proteinsAge distribution (NMR)

metabolites

distribution(male, female)
Correlation info.
detection rate

proteins

peptide information
with variants

BMI distribution (NMR)

Experimental
infomation

Links toexternal DB

Link to jMorp Genome Variant

Correlation Tables
Correlation Rank Plot
(ALL, male only, female only)

Statistics (Genome variant)Allele frequency comparison tool (β)

Correlation Network Viewer (β)

data# of samples in WGS

3,552# of SNVs discovered on autosomes

51,168,347# of SNVs discovered on chrX (PAR2)

2,005,094# of SNVs discovered on chrX (PAR3)

2,065,505# of SNVs discovered on chrMT

2,483

Future Perspectives◎ Association analysis with multi-layer data
◎ Increase of sample number and compounds◎ Identification of bio-marker for personalized medicine andpersonalized prevention
Users of jMorp can compare allele frequencies between
3.5KJPNv2 and 1KGP using allele frequency comparison tool.

Correlation network viewer visualizes correlation between
metabolites as a graph, and helps understanding ofrelationships between metabolites.

Licensed under a Creative Commons表示 4.0国際ライセンス(c) 2018 東北大学