| Literature DB >> 29701317 |
Seizo Koshiba1,2, Ikuko Motoike1,3, Daisuke Saigusa1,2, Jin Inoue1,2, Matsuyuki Shirota1,2, Yasutake Katoh1, Fumiki Katsuoka1,2, Inaho Danjoh1,2, Atsushi Hozawa1,2, Shinichi Kuriyama1,2,4, Naoko Minegishi1,2, Masao Nagasaki1,2,3, Takako Takai-Igarashi1,2, Soichi Ogishima1,2, Nobuo Fuse1,2, Shigeo Kure1,2, Gen Tamiya1,2,5, Osamu Tanabe1,2, Jun Yasuda1,2, Kengo Kinoshita1,3,6, Masayuki Yamamoto1,2.
Abstract
Population-based prospective cohort studies are indispensable for modern medical research as they provide important knowledge on the influences of many kinds of genetic and environmental factors on the cause of disease. Although traditional cohort studies are mainly conducted using questionnaires and physical examinations, modern cohort studies incorporate omics and genomic approaches to obtain comprehensive physical information, including genetic information. Here, we report the design and midterm results of multi-omics analysis on population-based prospective cohort studies from the Tohoku Medical Megabank (TMM) Project. We have incorporated genomic and metabolomic studies in the TMM cohort study as both metabolome and genome analyses are suitable for high-throughput analysis of large-scale cohort samples. Moreover, an association study between the metabolome and genome show that metabolites are an important intermediate phenotype connecting genetic and lifestyle factors to physical and pathologic phenotypes. We apply our metabolome and genome analyses to large-scale cohort samples in the following studies.Keywords: Tohoku Medical Megabank; association study; cohort; jMorp; metabolome; omics; proteome
Mesh:
Year: 2018 PMID: 29701317 DOI: 10.1111/gtc.12588
Source DB: PubMed Journal: Genes Cells ISSN: 1356-9597 Impact factor: 1.891