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Omics research project on prospective cohort studies from the Tohoku Medical Megabank Project
Author(s) -
Koshiba Seizo,
Motoike Ikuko,
Saigusa Daisuke,
Inoue Jin,
Shirota Matsuyuki,
Katoh Yasutake,
Katsuoka Fumiki,
Danjoh Inaho,
Hozawa Atsushi,
Kuriyama Shinichi,
Minegishi Naoko,
Nagasaki Masao,
TakaiIgarashi Takako,
Ogishima Soichi,
Fuse Nobuo,
Kure Shigeo,
Tamiya Gen,
Tanabe Osamu,
Yasuda Jun,
Kinoshita Kengo,
Yamamoto Masayuki
Publication year - 2018
Publication title -
genes to cells
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.912
H-Index - 115
eISSN - 1365-2443
pISSN - 1356-9597
DOI - 10.1111/gtc.12588
Subject(s) - omics , metabolome , cohort , biology , prospective cohort study , cohort study , genome wide association study , population , genomics , biobank , computational biology , metabolomics , disease , bioinformatics , genetics , genome , medicine , environmental health , single nucleotide polymorphism , genotype , gene
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.