TY - JOUR
T1 - dbTMM
T2 - an integrated database of large-scale cohort, genome and clinical data for the Tohoku Medical Megabank Project
AU - the Tohoku Medical Megabank Project Study Group
AU - Ogishima, Soichi
AU - Nagaie, Satoshi
AU - Mizuno, Satoshi
AU - Ishiwata, Ryosuke
AU - Iida, Keita
AU - Shimokawa, Kazuro
AU - Takai-Igarashi, Takako
AU - Nakamura, Naoki
AU - Nagase, Sachiko
AU - Nakamura, Tomohiro
AU - Tsuchiya, Naho
AU - Nakaya, Naoki
AU - Murakami, Keiko
AU - Ueno, Fumihiko
AU - Onuma, Tomomi
AU - Ishikuro, Mami
AU - Obara, Taku
AU - Mugikura, Shunji
AU - Tomita, Hiroaki
AU - Uruno, Akira
AU - Kobayashi, Tomoko
AU - Tsuboi, Akito
AU - Tadaka, Shu
AU - Katsuoka, Fumiki
AU - Narita, Akira
AU - Sakurai, Mika
AU - Makino, Satoshi
AU - Tamiya, Gen
AU - Aoki, Yuichi
AU - Shimizu, Ritsuko
AU - Motoike, Ikuko N.
AU - Koshiba, Seizo
AU - Minegishi, Naoko
AU - Kumada, Kazuki
AU - Nobukuni, Takahiro
AU - Suzuki, Kichiya
AU - Danjoh, Inaho
AU - Nagami, Fuji
AU - Tanno, Kozo
AU - Ohmomo, Hideki
AU - Asahi, Koichi
AU - Shimizu, Atsushi
AU - Hozawa, Atsushi
AU - Kuriyama, Shinichi
AU - Yamamoto, Masayuki
AU - Abe, Michiaki
AU - Aizawa, Yayoi
AU - Aoki, Yuichi
AU - Chida, Koichi
AU - Mimori, Takahiro
N1 - Funding Information:
The TMM is supported by grants from the Reconstruction Agency; the Ministry of Education, Culture, Sports, Science and Technology (MEXT); the Japan Agency for Medical Research and Development (AMED; Grant Numbers JP20km0105001 and JP20km0105002); and the Platform Program for Promotion of Genome Medicine (P3GM; Grant Numbers JP20km0405001).
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/12/1
Y1 - 2021/12/1
N2 - To reveal gene-environment interactions underlying common diseases and estimate the risk for common diseases, the Tohoku Medical Megabank (TMM) project has conducted prospective cohort studies and genomic and multiomics analyses. To establish an integrated biobank, we developed an integrated database called “dbTMM” that incorporates both the individual cohort/clinical data and the genome/multiomics data of 157,191 participants in the Tohoku Medical Megabank project. To our knowledge, dbTMM is the first database to store individual whole-genome data on a variant-by-variant basis as well as cohort/clinical data for over one hundred thousand participants in a prospective cohort study. dbTMM enables us to stratify our cohort by both genome-wide genetic factors and environmental factors, and it provides a research and development platform that enables prospective analysis of large-scale data from genome cohorts.
AB - To reveal gene-environment interactions underlying common diseases and estimate the risk for common diseases, the Tohoku Medical Megabank (TMM) project has conducted prospective cohort studies and genomic and multiomics analyses. To establish an integrated biobank, we developed an integrated database called “dbTMM” that incorporates both the individual cohort/clinical data and the genome/multiomics data of 157,191 participants in the Tohoku Medical Megabank project. To our knowledge, dbTMM is the first database to store individual whole-genome data on a variant-by-variant basis as well as cohort/clinical data for over one hundred thousand participants in a prospective cohort study. dbTMM enables us to stratify our cohort by both genome-wide genetic factors and environmental factors, and it provides a research and development platform that enables prospective analysis of large-scale data from genome cohorts.
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UR - http://www.scopus.com/inward/citedby.url?scp=85120991177&partnerID=8YFLogxK
U2 - 10.1038/s41439-021-00175-5
DO - 10.1038/s41439-021-00175-5
M3 - Article
AN - SCOPUS:85120991177
SN - 2054-345X
VL - 8
JO - Human Genome Variation
JF - Human Genome Variation
IS - 1
M1 - 44
ER -