4.8 Article

jMorp updates in 2020: large enhancement of multi-omics data resources on the general Japanese population

Journal

NUCLEIC ACIDS RESEARCH
Volume 49, Issue D1, Pages D536-D544

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkaa1034

Keywords

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Funding

  1. Tohoku Medical Megabank Project from the Ministry of Education, Culture, Sports, Science and Technology (MEXT)
  2. Japan Agency for Medical Research and Development (AMED) [JP20km0105001, JP20km0105002, JP20km0105003, JP20km0105004]
  3. AMED [JP19am0101067, JP20km0405001, JP20km0405203]
  4. Project for Promoting Public Utilization of Advanced Research Infrastructure (MEXT)
  5. Sharing and administrative network for research equipment (MEXT)
  6. Japan Agency for Medical Research and Development
  7. Reconstruction Agency

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The Tohoku Medical Megabank project conducted genome and omics analyses on participants from two cohort studies, resulting in the creation of jMorp, a web-based database providing genome, methylome, transcriptome, and metabolome data. This resource, which includes Japanese reference sequences and allele frequencies, as well as concentration distributions of over 755 metabolites, will aid in the discovery of disease biomarkers and personalized disease prevention and early diagnosis in the general population.
In the Tohoku Medical Megabank project, genome and omics analyses of participants in two cohort studies were performed. A part of the data is available at the Japanese Multi Omics Reference Panel (jMorp; https://jmorp.megabank.tohoku.ac.jp) as a web-based database, as reported in our previous manuscript published in Nucleic Acid Re-search in 2018. At that time, jMorp mainly consisted of metabolome data; however, now genome, methylome, and transcriptome data have been integrated in addition to the enhancement of the number of samples for the metabolome data. For genomic data, jMorp provides a Japanese reference sequence obtained using de novo assembly of sequences from three Japanese individuals and allele frequencies obtained using whole-genome sequencing of 8,380 Japanese individuals. In addition, the omics data include methylome and transcriptome data from similar to 300 samples and distribution of concentrations of more than 755 metabolites obtained using high-throughput nuclear magnetic resonance and high-sensitivity mass spectrometry. In summary, jMorp now provides four different kinds of omics data (genome, methylome, transcriptome, and metabolome), with a user-friendly web interface. This will be a useful scientific data resource on the general population for the discovery of disease biomarkers and personalized disease prevention and early diagnosis.

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