dbTMM: an integrated database of large-scale cohort, genome and clinical data for the Tohoku Medical Megabank Project
Databases: Integrating megadata for disease research A database integrating 1.3 trillion genome cohort data entries from 157,191 individuals in Japan will facilitate research into the gene-environment interactions underlying common diseases. The Tohoku Medical Megabank integrated database called dbT...
Ausführliche Beschreibung
Autor*in: |
Soichi Ogishima [verfasserIn] Satoshi Nagaie [verfasserIn] Satoshi Mizuno [verfasserIn] Ryosuke Ishiwata [verfasserIn] Keita Iida [verfasserIn] Kazuro Shimokawa [verfasserIn] Takako Takai-Igarashi [verfasserIn] Naoki Nakamura [verfasserIn] Sachiko Nagase [verfasserIn] Tomohiro Nakamura [verfasserIn] Naho Tsuchiya [verfasserIn] Naoki Nakaya [verfasserIn] Keiko Murakami [verfasserIn] Fumihiko Ueno [verfasserIn] Tomomi Onuma [verfasserIn] Mami Ishikuro [verfasserIn] Taku Obara [verfasserIn] Shunji Mugikura [verfasserIn] Hiroaki Tomita [verfasserIn] Akira Uruno [verfasserIn] Tomoko Kobayashi [verfasserIn] Akito Tsuboi [verfasserIn] Shu Tadaka [verfasserIn] Fumiki Katsuoka [verfasserIn] Akira Narita [verfasserIn] Mika Sakurai [verfasserIn] Satoshi Makino [verfasserIn] Gen Tamiya [verfasserIn] Yuichi Aoki [verfasserIn] Ritsuko Shimizu [verfasserIn] Ikuko N. Motoike [verfasserIn] Seizo Koshiba [verfasserIn] Naoko Minegishi [verfasserIn] Kazuki Kumada [verfasserIn] Takahiro Nobukuni [verfasserIn] Kichiya Suzuki [verfasserIn] Inaho Danjoh [verfasserIn] Fuji Nagami [verfasserIn] Kozo Tanno [verfasserIn] Hideki Ohmomo [verfasserIn] Koichi Asahi [verfasserIn] Atsushi Shimizu [verfasserIn] Atsushi Hozawa [verfasserIn] Shinichi Kuriyama [verfasserIn] the Tohoku Medical Megabank Project Study Group [verfasserIn] Nobuo Fuse [verfasserIn] Teiji Tominaga [verfasserIn] Shigeo Kure [verfasserIn] Nobuo Yaegashi [verfasserIn] Kengo Kinoshita [verfasserIn] Makoto Sasaki [verfasserIn] Hiroshi Tanaka [verfasserIn] Masayuki Yamamoto [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2021 |
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Übergeordnetes Werk: |
In: Human Genome Variation - Nature Publishing Group, 2015, 8(2021), 1, Seite 8 |
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Übergeordnetes Werk: |
volume:8 ; year:2021 ; number:1 ; pages:8 |
Links: |
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DOI / URN: |
10.1038/s41439-021-00175-5 |
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Katalog-ID: |
DOAJ054061741 |
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520 | |a Databases: Integrating megadata for disease research A database integrating 1.3 trillion genome cohort data entries from 157,191 individuals in Japan will facilitate research into the gene-environment interactions underlying common diseases. The Tohoku Medical Megabank integrated database called dbTMM was developed by Soichi Ogishima, Masayuki Yamamoto and colleagues at Tohoku University in Japan. It incorporates the genome, metabolome, proteome, clinical, sociodemographic, lifestyle and environmental data from 84,073 adults, and 73,529 pregnant women and their families, including children. Blood and urine samples were collected from participants and analysed, then obtained genome/multiomics data were stored in dbTMM. Users can stratify the entire population into smaller populations based on multiple data variables, including whole genome variants, to search for statistically significant differences that might warrant further research. The dbTMM is expected to help clarify the genes and gene-environment interactions underlying common diseases and improve disease risk prediction. | ||
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10.1038/s41439-021-00175-5 doi (DE-627)DOAJ054061741 (DE-599)DOAJe3744eb34ff14a6d9dc6c6eaaef77789 DE-627 ger DE-627 rakwb eng QH426-470 QH501-531 Soichi Ogishima verfasserin aut dbTMM: an integrated database of large-scale cohort, genome and clinical data for the Tohoku Medical Megabank Project 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Databases: Integrating megadata for disease research A database integrating 1.3 trillion genome cohort data entries from 157,191 individuals in Japan will facilitate research into the gene-environment interactions underlying common diseases. The Tohoku Medical Megabank integrated database called dbTMM was developed by Soichi Ogishima, Masayuki Yamamoto and colleagues at Tohoku University in Japan. It incorporates the genome, metabolome, proteome, clinical, sociodemographic, lifestyle and environmental data from 84,073 adults, and 73,529 pregnant women and their families, including children. Blood and urine samples were collected from participants and analysed, then obtained genome/multiomics data were stored in dbTMM. Users can stratify the entire population into smaller populations based on multiple data variables, including whole genome variants, to search for statistically significant differences that might warrant further research. The dbTMM is expected to help clarify the genes and gene-environment interactions underlying common diseases and improve disease risk prediction. Genetics Life Satoshi Nagaie verfasserin aut Satoshi Mizuno verfasserin aut Ryosuke Ishiwata verfasserin aut Keita Iida verfasserin aut Kazuro Shimokawa verfasserin aut Takako Takai-Igarashi verfasserin aut Naoki Nakamura verfasserin aut Sachiko Nagase verfasserin aut Tomohiro Nakamura verfasserin aut Naho Tsuchiya verfasserin aut Naoki Nakaya verfasserin aut Keiko Murakami verfasserin aut Fumihiko Ueno verfasserin aut Tomomi Onuma verfasserin aut Mami Ishikuro verfasserin aut Taku Obara verfasserin aut Shunji Mugikura verfasserin aut Hiroaki Tomita verfasserin aut Akira Uruno verfasserin aut Tomoko Kobayashi verfasserin aut Akito Tsuboi verfasserin aut Shu Tadaka verfasserin aut Fumiki Katsuoka verfasserin aut Akira Narita verfasserin aut Mika Sakurai verfasserin aut Satoshi Makino verfasserin aut Gen Tamiya verfasserin aut Yuichi Aoki verfasserin aut Ritsuko Shimizu verfasserin aut Ikuko N. Motoike verfasserin aut Seizo Koshiba verfasserin aut Naoko Minegishi verfasserin aut Kazuki Kumada verfasserin aut Takahiro Nobukuni verfasserin aut Kichiya Suzuki verfasserin aut Inaho Danjoh verfasserin aut Fuji Nagami verfasserin aut Kozo Tanno verfasserin aut Hideki Ohmomo verfasserin aut Koichi Asahi verfasserin aut Atsushi Shimizu verfasserin aut Atsushi Hozawa verfasserin aut Shinichi Kuriyama verfasserin aut the Tohoku Medical Megabank Project Study Group verfasserin aut Nobuo Fuse verfasserin aut Teiji Tominaga verfasserin aut Shigeo Kure verfasserin aut Nobuo Yaegashi verfasserin aut Kengo Kinoshita verfasserin aut Makoto Sasaki verfasserin aut Hiroshi Tanaka verfasserin aut Masayuki Yamamoto verfasserin aut In Human Genome Variation Nature Publishing Group, 2015 8(2021), 1, Seite 8 (DE-627)864198906 (DE-600)2863697-1 2054345X nnns volume:8 year:2021 number:1 pages:8 https://doi.org/10.1038/s41439-021-00175-5 kostenfrei https://doaj.org/article/e3744eb34ff14a6d9dc6c6eaaef77789 kostenfrei https://doi.org/10.1038/s41439-021-00175-5 kostenfrei https://doaj.org/toc/2054-345X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2021 1 8 |
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10.1038/s41439-021-00175-5 doi (DE-627)DOAJ054061741 (DE-599)DOAJe3744eb34ff14a6d9dc6c6eaaef77789 DE-627 ger DE-627 rakwb eng QH426-470 QH501-531 Soichi Ogishima verfasserin aut dbTMM: an integrated database of large-scale cohort, genome and clinical data for the Tohoku Medical Megabank Project 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Databases: Integrating megadata for disease research A database integrating 1.3 trillion genome cohort data entries from 157,191 individuals in Japan will facilitate research into the gene-environment interactions underlying common diseases. The Tohoku Medical Megabank integrated database called dbTMM was developed by Soichi Ogishima, Masayuki Yamamoto and colleagues at Tohoku University in Japan. It incorporates the genome, metabolome, proteome, clinical, sociodemographic, lifestyle and environmental data from 84,073 adults, and 73,529 pregnant women and their families, including children. Blood and urine samples were collected from participants and analysed, then obtained genome/multiomics data were stored in dbTMM. Users can stratify the entire population into smaller populations based on multiple data variables, including whole genome variants, to search for statistically significant differences that might warrant further research. The dbTMM is expected to help clarify the genes and gene-environment interactions underlying common diseases and improve disease risk prediction. Genetics Life Satoshi Nagaie verfasserin aut Satoshi Mizuno verfasserin aut Ryosuke Ishiwata verfasserin aut Keita Iida verfasserin aut Kazuro Shimokawa verfasserin aut Takako Takai-Igarashi verfasserin aut Naoki Nakamura verfasserin aut Sachiko Nagase verfasserin aut Tomohiro Nakamura verfasserin aut Naho Tsuchiya verfasserin aut Naoki Nakaya verfasserin aut Keiko Murakami verfasserin aut Fumihiko Ueno verfasserin aut Tomomi Onuma verfasserin aut Mami Ishikuro verfasserin aut Taku Obara verfasserin aut Shunji Mugikura verfasserin aut Hiroaki Tomita verfasserin aut Akira Uruno verfasserin aut Tomoko Kobayashi verfasserin aut Akito Tsuboi verfasserin aut Shu Tadaka verfasserin aut Fumiki Katsuoka verfasserin aut Akira Narita verfasserin aut Mika Sakurai verfasserin aut Satoshi Makino verfasserin aut Gen Tamiya verfasserin aut Yuichi Aoki verfasserin aut Ritsuko Shimizu verfasserin aut Ikuko N. Motoike verfasserin aut Seizo Koshiba verfasserin aut Naoko Minegishi verfasserin aut Kazuki Kumada verfasserin aut Takahiro Nobukuni verfasserin aut Kichiya Suzuki verfasserin aut Inaho Danjoh verfasserin aut Fuji Nagami verfasserin aut Kozo Tanno verfasserin aut Hideki Ohmomo verfasserin aut Koichi Asahi verfasserin aut Atsushi Shimizu verfasserin aut Atsushi Hozawa verfasserin aut Shinichi Kuriyama verfasserin aut the Tohoku Medical Megabank Project Study Group verfasserin aut Nobuo Fuse verfasserin aut Teiji Tominaga verfasserin aut Shigeo Kure verfasserin aut Nobuo Yaegashi verfasserin aut Kengo Kinoshita verfasserin aut Makoto Sasaki verfasserin aut Hiroshi Tanaka verfasserin aut Masayuki Yamamoto verfasserin aut In Human Genome Variation Nature Publishing Group, 2015 8(2021), 1, Seite 8 (DE-627)864198906 (DE-600)2863697-1 2054345X nnns volume:8 year:2021 number:1 pages:8 https://doi.org/10.1038/s41439-021-00175-5 kostenfrei https://doaj.org/article/e3744eb34ff14a6d9dc6c6eaaef77789 kostenfrei https://doi.org/10.1038/s41439-021-00175-5 kostenfrei https://doaj.org/toc/2054-345X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2021 1 8 |
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10.1038/s41439-021-00175-5 doi (DE-627)DOAJ054061741 (DE-599)DOAJe3744eb34ff14a6d9dc6c6eaaef77789 DE-627 ger DE-627 rakwb eng QH426-470 QH501-531 Soichi Ogishima verfasserin aut dbTMM: an integrated database of large-scale cohort, genome and clinical data for the Tohoku Medical Megabank Project 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Databases: Integrating megadata for disease research A database integrating 1.3 trillion genome cohort data entries from 157,191 individuals in Japan will facilitate research into the gene-environment interactions underlying common diseases. The Tohoku Medical Megabank integrated database called dbTMM was developed by Soichi Ogishima, Masayuki Yamamoto and colleagues at Tohoku University in Japan. It incorporates the genome, metabolome, proteome, clinical, sociodemographic, lifestyle and environmental data from 84,073 adults, and 73,529 pregnant women and their families, including children. Blood and urine samples were collected from participants and analysed, then obtained genome/multiomics data were stored in dbTMM. Users can stratify the entire population into smaller populations based on multiple data variables, including whole genome variants, to search for statistically significant differences that might warrant further research. The dbTMM is expected to help clarify the genes and gene-environment interactions underlying common diseases and improve disease risk prediction. Genetics Life Satoshi Nagaie verfasserin aut Satoshi Mizuno verfasserin aut Ryosuke Ishiwata verfasserin aut Keita Iida verfasserin aut Kazuro Shimokawa verfasserin aut Takako Takai-Igarashi verfasserin aut Naoki Nakamura verfasserin aut Sachiko Nagase verfasserin aut Tomohiro Nakamura verfasserin aut Naho Tsuchiya verfasserin aut Naoki Nakaya verfasserin aut Keiko Murakami verfasserin aut Fumihiko Ueno verfasserin aut Tomomi Onuma verfasserin aut Mami Ishikuro verfasserin aut Taku Obara verfasserin aut Shunji Mugikura verfasserin aut Hiroaki Tomita verfasserin aut Akira Uruno verfasserin aut Tomoko Kobayashi verfasserin aut Akito Tsuboi verfasserin aut Shu Tadaka verfasserin aut Fumiki Katsuoka verfasserin aut Akira Narita verfasserin aut Mika Sakurai verfasserin aut Satoshi Makino verfasserin aut Gen Tamiya verfasserin aut Yuichi Aoki verfasserin aut Ritsuko Shimizu verfasserin aut Ikuko N. Motoike verfasserin aut Seizo Koshiba verfasserin aut Naoko Minegishi verfasserin aut Kazuki Kumada verfasserin aut Takahiro Nobukuni verfasserin aut Kichiya Suzuki verfasserin aut Inaho Danjoh verfasserin aut Fuji Nagami verfasserin aut Kozo Tanno verfasserin aut Hideki Ohmomo verfasserin aut Koichi Asahi verfasserin aut Atsushi Shimizu verfasserin aut Atsushi Hozawa verfasserin aut Shinichi Kuriyama verfasserin aut the Tohoku Medical Megabank Project Study Group verfasserin aut Nobuo Fuse verfasserin aut Teiji Tominaga verfasserin aut Shigeo Kure verfasserin aut Nobuo Yaegashi verfasserin aut Kengo Kinoshita verfasserin aut Makoto Sasaki verfasserin aut Hiroshi Tanaka verfasserin aut Masayuki Yamamoto verfasserin aut In Human Genome Variation Nature Publishing Group, 2015 8(2021), 1, Seite 8 (DE-627)864198906 (DE-600)2863697-1 2054345X nnns volume:8 year:2021 number:1 pages:8 https://doi.org/10.1038/s41439-021-00175-5 kostenfrei https://doaj.org/article/e3744eb34ff14a6d9dc6c6eaaef77789 kostenfrei https://doi.org/10.1038/s41439-021-00175-5 kostenfrei https://doaj.org/toc/2054-345X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2021 1 8 |
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Soichi Ogishima @@aut@@ Satoshi Nagaie @@aut@@ Satoshi Mizuno @@aut@@ Ryosuke Ishiwata @@aut@@ Keita Iida @@aut@@ Kazuro Shimokawa @@aut@@ Takako Takai-Igarashi @@aut@@ Naoki Nakamura @@aut@@ Sachiko Nagase @@aut@@ Tomohiro Nakamura @@aut@@ Naho Tsuchiya @@aut@@ Naoki Nakaya @@aut@@ Keiko Murakami @@aut@@ Fumihiko Ueno @@aut@@ Tomomi Onuma @@aut@@ Mami Ishikuro @@aut@@ Taku Obara @@aut@@ Shunji Mugikura @@aut@@ Hiroaki Tomita @@aut@@ Akira Uruno @@aut@@ Tomoko Kobayashi @@aut@@ Akito Tsuboi @@aut@@ Shu Tadaka @@aut@@ Fumiki Katsuoka @@aut@@ Akira Narita @@aut@@ Mika Sakurai @@aut@@ Satoshi Makino @@aut@@ Gen Tamiya @@aut@@ Yuichi Aoki @@aut@@ Ritsuko Shimizu @@aut@@ Ikuko N. Motoike @@aut@@ Seizo Koshiba @@aut@@ Naoko Minegishi @@aut@@ Kazuki Kumada @@aut@@ Takahiro Nobukuni @@aut@@ Kichiya Suzuki @@aut@@ Inaho Danjoh @@aut@@ Fuji Nagami @@aut@@ Kozo Tanno @@aut@@ Hideki Ohmomo @@aut@@ Koichi Asahi @@aut@@ Atsushi Shimizu @@aut@@ Atsushi Hozawa @@aut@@ Shinichi Kuriyama @@aut@@ the Tohoku Medical Megabank Project Study Group @@aut@@ Nobuo Fuse @@aut@@ Teiji Tominaga @@aut@@ Shigeo Kure @@aut@@ Nobuo Yaegashi @@aut@@ Kengo Kinoshita @@aut@@ Makoto Sasaki @@aut@@ Hiroshi Tanaka @@aut@@ Masayuki Yamamoto @@aut@@ |
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Soichi Ogishima Satoshi Nagaie Satoshi Mizuno Ryosuke Ishiwata Keita Iida Kazuro Shimokawa Takako Takai-Igarashi Naoki Nakamura Sachiko Nagase Tomohiro Nakamura Naho Tsuchiya Naoki Nakaya Keiko Murakami Fumihiko Ueno Tomomi Onuma Mami Ishikuro Taku Obara Shunji Mugikura Hiroaki Tomita Akira Uruno Tomoko Kobayashi Akito Tsuboi Shu Tadaka Fumiki Katsuoka Akira Narita Mika Sakurai Satoshi Makino Gen Tamiya Yuichi Aoki Ritsuko Shimizu Ikuko N. Motoike Seizo Koshiba Naoko Minegishi Kazuki Kumada Takahiro Nobukuni Kichiya Suzuki Inaho Danjoh Fuji Nagami Kozo Tanno Hideki Ohmomo Koichi Asahi Atsushi Shimizu Atsushi Hozawa Shinichi Kuriyama the Tohoku Medical Megabank Project Study Group Nobuo Fuse Teiji Tominaga Shigeo Kure Nobuo Yaegashi Kengo Kinoshita Makoto Sasaki Hiroshi Tanaka Masayuki Yamamoto |
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dbTMM: an integrated database of large-scale cohort, genome and clinical data for the Tohoku Medical Megabank Project |
abstract |
Databases: Integrating megadata for disease research A database integrating 1.3 trillion genome cohort data entries from 157,191 individuals in Japan will facilitate research into the gene-environment interactions underlying common diseases. The Tohoku Medical Megabank integrated database called dbTMM was developed by Soichi Ogishima, Masayuki Yamamoto and colleagues at Tohoku University in Japan. It incorporates the genome, metabolome, proteome, clinical, sociodemographic, lifestyle and environmental data from 84,073 adults, and 73,529 pregnant women and their families, including children. Blood and urine samples were collected from participants and analysed, then obtained genome/multiomics data were stored in dbTMM. Users can stratify the entire population into smaller populations based on multiple data variables, including whole genome variants, to search for statistically significant differences that might warrant further research. The dbTMM is expected to help clarify the genes and gene-environment interactions underlying common diseases and improve disease risk prediction. |
abstractGer |
Databases: Integrating megadata for disease research A database integrating 1.3 trillion genome cohort data entries from 157,191 individuals in Japan will facilitate research into the gene-environment interactions underlying common diseases. The Tohoku Medical Megabank integrated database called dbTMM was developed by Soichi Ogishima, Masayuki Yamamoto and colleagues at Tohoku University in Japan. It incorporates the genome, metabolome, proteome, clinical, sociodemographic, lifestyle and environmental data from 84,073 adults, and 73,529 pregnant women and their families, including children. Blood and urine samples were collected from participants and analysed, then obtained genome/multiomics data were stored in dbTMM. Users can stratify the entire population into smaller populations based on multiple data variables, including whole genome variants, to search for statistically significant differences that might warrant further research. The dbTMM is expected to help clarify the genes and gene-environment interactions underlying common diseases and improve disease risk prediction. |
abstract_unstemmed |
Databases: Integrating megadata for disease research A database integrating 1.3 trillion genome cohort data entries from 157,191 individuals in Japan will facilitate research into the gene-environment interactions underlying common diseases. The Tohoku Medical Megabank integrated database called dbTMM was developed by Soichi Ogishima, Masayuki Yamamoto and colleagues at Tohoku University in Japan. It incorporates the genome, metabolome, proteome, clinical, sociodemographic, lifestyle and environmental data from 84,073 adults, and 73,529 pregnant women and their families, including children. Blood and urine samples were collected from participants and analysed, then obtained genome/multiomics data were stored in dbTMM. Users can stratify the entire population into smaller populations based on multiple data variables, including whole genome variants, to search for statistically significant differences that might warrant further research. The dbTMM is expected to help clarify the genes and gene-environment interactions underlying common diseases and improve disease risk prediction. |
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dbTMM: an integrated database of large-scale cohort, genome and clinical data for the Tohoku Medical Megabank Project |
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Satoshi Nagaie Satoshi Mizuno Ryosuke Ishiwata Keita Iida Kazuro Shimokawa Takako Takai-Igarashi Naoki Nakamura Sachiko Nagase Tomohiro Nakamura Naho Tsuchiya Naoki Nakaya Keiko Murakami Fumihiko Ueno Tomomi Onuma Mami Ishikuro Taku Obara Shunji Mugikura Hiroaki Tomita Akira Uruno Tomoko Kobayashi Akito Tsuboi Shu Tadaka Fumiki Katsuoka Akira Narita Mika Sakurai Satoshi Makino Gen Tamiya Yuichi Aoki Ritsuko Shimizu Ikuko N. Motoike Seizo Koshiba Naoko Minegishi Kazuki Kumada Takahiro Nobukuni Kichiya Suzuki Inaho Danjoh Fuji Nagami Kozo Tanno Hideki Ohmomo Koichi Asahi Atsushi Shimizu Atsushi Hozawa Shinichi Kuriyama the Tohoku Medical Megabank Project Study Group Nobuo Fuse Teiji Tominaga Shigeo Kure Nobuo Yaegashi Kengo Kinoshita Makoto Sasaki Hiroshi Tanaka Masayuki Yamamoto |
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