Omics research project on prospective cohort studies from the Tohoku Medical Megabank Project.
作者： Seizo Koshiba , Ikuko Motoike , Daisuke Saigusa , Jin Inoue , Matsuyuki Shirota
DOI: 10.1111/GTC.12588
关键词: Disease 、 Cohort study 、 Biology 、 Computational biology 、 Metabolome 、 Genome 、 Omics 、 Cohort 、 Prospective cohort study 、 Population
摘要: Population-based prospective cohort studies are indispensable for modern medical research as they provide important knowledge on the influences of many kinds genetic and environmental factors cause disease. Although traditional mainly conducted using questionnaires physical examinations, incorporate omics genomic approaches to obtain comprehensive information, including information. Here, we report design midterm results multi-omics analysis population-based from Tohoku Medical Megabank (TMM) Project. We have incorporated metabolomic in TMM study both metabolome genome analyses suitable high-throughput large-scale samples. Moreover, an association between show that metabolites intermediate phenotype connecting lifestyle pathologic phenotypes. apply our samples following studies.
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sci-hub.se 参考文章(38)
Masao Nagasaki, Jun Yasuda, Fumiki Katsuoka, Naoki Nariai, Kaname Kojima, Yosuke Kawai, Yumi Yamaguchi-Kabata, Junji Yokozawa, Inaho Danjoh, Sakae Saito, Yukuto Sato, Takahiro Mimori, Kaoru Tsuda, Rumiko Saito, Xiaoqing Pan, Satoshi Nishikawa, Shin Ito, Yoko Kuroki, Osamu Tanabe, Nobuo Fuse, Shinichi Kuriyama, Hideyasu Kiyomoto, Atsushi Hozawa, Naoko Minegishi, James Douglas Engel, Kengo Kinoshita, Shigeo Kure, Nobuo Yaegashi, Masayuki Yamamoto, None, Rare variant discovery by deep whole-genome sequencing of 1,070 Japanese individuals Nature Communications. ,vol. 6, pp. 8018- 8018 ,(2015) , 10.1038/NCOMMS9018
Yosuke Kawai, Takahiro Mimori, Kaname Kojima, Naoki Nariai, Inaho Danjoh, Rumiko Saito, Jun Yasuda, Masayuki Yamamoto, Masao Nagasaki, Japonica array: improved genotype imputation by designing a population-specific SNP array with 1070 Japanese individuals Journal of Human Genetics. ,vol. 60, pp. 581- 587 ,(2015) , 10.1038/JHG.2015.68
Andrej Teren, Daniel Teupser, Francisca S. Then, Anke Tönjes, Regina Treudler, Arno Villringer, Alexander Weissgerber, Peter Wiedemann, Silke Zachariae, Kerstin Wirkner, Joachim Thiery, Markus Loeffler, Christoph Engel, Peter Ahnert, Dorothee Alfermann, Katrin Arelin, Ronny Baber, Frank Beutner, Hans Binder, Elmar Brähler, Ralph Burkhardt, Uta Ceglarek, Cornelia Enzenbach, Michael Fuchs, Heide Glaesmer, Friederike Girlich, Andreas Hagendorff, Madlen Häntzsch, Ulrich Hegerl, Sylvia Henger, Tilman Hensch, Andreas Hinz, Volker Holzendorf, Daniela Husser, Anette Kersting, Alexander Kiel, Toralf Kirsten, Jürgen Kratzsch, Knut Krohn, Tobias Luck, Susanne Melzer, Jeffrey Netto, Matthias Nüchter, Matthias Raschpichler, Franziska G. Rauscher, Steffi G. Riedel-Heller, Christian Sander, Markus Scholz, Peter Schönknecht, Matthias L. Schroeter, Jan-Christoph Simon, Ronald Speer, Julia Stäker, Robert Stein, Yve Stöbel-Richter, Michael Stumvoll, Attila Tarnok, The LIFE-Adult-Study: Objectives and design of a population-based cohort study with 10,000 deeply phenotyped adults in Germany BMC Public Health. ,vol. 15, pp. 691- 691 ,(2015) , 10.1186/S12889-015-1983-Z
Julie A Schmidt, Sabina Rinaldi, Pietro Ferrari, Marion Carayol, David Achaintre, Augustin Scalbert, Amanda J Cross, Marc J Gunter, Georgina K Fensom, Paul N Appleby, Timothy J Key, Ruth C Travis, Metabolic profiles of male meat eaters, fish eaters, vegetarians, and vegans from the EPIC-Oxford cohort The American Journal of Clinical Nutrition. ,vol. 102, pp. 1518- 1526 ,(2015) , 10.3945/AJCN.115.111989
John C Lindon, Jeremy K Nicholson, The emergent role of metabolic phenotyping in dynamic patient stratification. Expert Opinion on Drug Metabolism & Toxicology. ,vol. 10, pp. 915- 919 ,(2014) , 10.1517/17425255.2014.922954
Nele Friedrich, Metabolomics in diabetes research. Journal of Endocrinology. ,vol. 215, pp. 29- 42 ,(2012) , 10.1530/JOE-12-0120
Marlon P. Quinones, Rima Kaddurah-Daouk, Metabolomics tools for identifying biomarkers for neuropsychiatric diseases. Neurobiology of Disease. ,vol. 35, pp. 165- 176 ,(2009) , 10.1016/J.NBD.2009.02.019
Jun-ichi Satoh, Yoshihiro Kino, Shumpei Niida, MicroRNA-Seq Data Analysis Pipeline to Identify Blood Biomarkers for Alzheimer's Disease from Public Data: Biomarker Insights. ,vol. 10, pp. 21- 31 ,(2015) , 10.4137/BMI.S25132
So-Youn Shin, , Eric B Fauman, Ann-Kristin Petersen, Jan Krumsiek, Rita Santos, Jie Huang, Matthias Arnold, Idil Erte, Vincenzo Forgetta, Tsun-Po Yang, Klaudia Walter, Cristina Menni, Lu Chen, Louella Vasquez, Ana M Valdes, Craig L Hyde, Vicky Wang, Daniel Ziemek, Phoebe Roberts, Li Xi, Elin Grundberg, Melanie Waldenberger, J Brent Richards, Robert P Mohney, Michael V Milburn, Sally L John, Jeff Trimmer, Fabian J Theis, John P Overington, Karsten Suhre, M Julia Brosnan, Christian Gieger, Gabi Kastenmüller, Tim D Spector, Nicole Soranzo, An atlas of genetic influences on human blood metabolites Nature Genetics. ,vol. 46, pp. 543- 550 ,(2014) , 10.1038/NG.2982
Eugene P Rhee, Jennifer E Ho, Ming-Huei Chen, Dongxiao Shen, Susan Cheng, Martin G Larson, Anahita Ghorbani, Xu Shi, Iiro T Helenius, Christopher J O’Donnell, Amanda L Souza, Amy Deik, Kerry A Pierce, Kevin Bullock, Geoffrey A Walford, Ramachandran S Vasan, Jose C Florez, Clary Clish, J-R Joanna Yeh, Thomas J Wang, Robert E Gerszten, None, A Genome-wide Association Study of the Human Metabolome in a Community-Based Cohort Cell Metabolism. ,vol. 18, pp. 130- 143 ,(2013) , 10.1016/J.CMET.2013.06.013