JMorp updates in 2020: large enhancement of multi-omics data resources on the general Japanese population. Issue Volume 49:Issue D1(2021) (12th November 2020)

• Record Type: Journal Article
• Authors: Tadaka, Shu; Hishinuma, Eiji; Komaki, Shohei; Motoike, Ikuko N; Kawashima, Junko; Saigusa, Daisuke; Inoue, Jin; Takayama, Jun; Okamura, Yasunobu; Aoki, Yuichi; Shirota, Matsuyuki; Otsuki, Akihito; Katsuoka, Fumiki; Shimizu, Atsushi; Tamiya, Gen; Koshiba, Seizo; Sasaki, Makoto; Yamamoto, Masayuki; Kinoshita, Kengo
• Is Part Of: Nucleic acids research. Volume 49:Issue D1(2021)
• Page Start: D536
• Page End: D544
• Publication Date: 2020-11-12
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkaa1034
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: 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 Research 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 ∼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.