Tohoku University Tohoku Medical Megabank Organization (Inaho Danjoh)
2019.09.20

1.   Sakurai-Yageta Mika, Kawame Hiroshi, Kuriyama Shinichi, et al. A training and education program for genome medical research coordinators in the genome cohort study of the Tohoku Medical Megabank Organization. BMC Medical Education. 2019; 19 (1): 297. doi:10.1186/s12909-019-1725-5  
2.   Tadaka Shu, Katsuoka Fumiki, Ueki Masao, et al. 3.5KJPNv2: an allele frequency panel of 3552 Japanese individuals including the X chromosome. Human Genome Variation. 2019; 6 (1): 28. doi:10.1038/s41439-019-0059-5  
3.   Kiniwa Yukiko, Yasuda Jun, Saito Sakae, et al. Identification of genetic alterations in extramammary Paget disease using whole exome analysis. Journal of Dermatological Science. 2019; 94 (1): 229-235. doi:10.1016/j.jdermsci.2019.03.006  
4.   Yasuda Jun, Kinoshita Kengo, Katsuoka Fumiki, et al. Genome analyses for the Tohoku Medical Megabank Project towards establishment of personalized healthcare. The Journal of Biochemistry. 2019; 165 (2): 139-158. doi:10.1093/jb/mvy096  
5.   Yasuda Jun, Katsuoka Fumiki, Danjoh Inaho, et al. Regional genetic differences among Japanese populations and performance of genotype imputation using whole-genome reference panel of the Tohoku Medical Megabank Project. BMC Genomics. 2018; 19 (1): 551. doi:10.1186/s12864-018-4942-0  
6.   Koshiba Seizo, Motoike Ikuko, Saigusa Daisuke, et al. Omics research project on prospective cohort studies from the Tohoku Medical Megabank Project. Genes to Cells. 2018; 23 (6): 406-417. doi:10.1111/gtc.12588  
7.   Yamaguchi-Kabata Yumi, Yasuda Jun, Tanabe Osamu, et al. Evaluation of reported pathogenic variants and their frequencies in a Japanese population based on a whole-genome reference panel of 2049 individuals. Journal of Human Genetics. 2018; 63 (2): 213-230. doi:10.1038/s10038-017-0347-1  
8.   Nakayama Akiyoshi, Nakaoka Hirofumi, Yamamoto Ken, et al. GWAS of clinically defined gout and subtypes identifies multiple susceptibility loci that include urate transporter genes. Annals of the Rheumatic Diseases. 2017; 76 (5): 869-877. doi:10.1136/annrheumdis-2016-209632  
9.   Pan Xiaoqing, Nariai Naoki, Fukuhara Noriko, et al. Monitoring of minimal residual disease in early T-cell precursor acute lymphoblastic leukaemia by next-generation sequencing. British Journal of Haematology. 2017; 176 (2): 318-321. doi:10.1111/bjh.13948  
10.   Matsuo Hirotaka, Yamamoto Ken, Nakaoka Hirofumi, et al. Genome-wide association study of clinically defined gout identifies multiple risk loci and its association with clinical subtypes. Annals of the Rheumatic Diseases. 2016; 75 (4): 652-659. doi:10.1136/annrheumdis-2014-206191  
11.   Koshiba Seizo, Motoike Ikuko, Kojima Kaname, et al. The structural origin of metabolic quantitative diversity. Scientific Reports. 2016; 6 (1): 31463. doi:10.1038/srep31463  
12.   Takahashi Tomohiro, Saigusa Daisuke, Takeda Chihiro, et al. Determination of Sphingolipids by LC-MS/MS. Bioactive Lipid Mediators. 2015; : 357-370. doi:10.1007/978-4-431-55669-5_26  
13.   Yamada Takeshi, Abei Masato, Danjoh Inaho, et al. Identification of a unique hepatocellular carcinoma line, Li-7, with CD13(+) cancer stem cells hierarchy and population change upon its differentiation during culture and effects of sorafenib. BMC Cancer. 2015; 15 (1): . doi:10.1186/s12885-015-1297-7  
14.   Kawai Yosuke, Mimori Takahiro, Kojima Kaname, et al. Japonica array: improved genotype imputation by designing a population-specific SNP array with 1070 Japanese individuals. Journal of Human Genetics. 2015; 60 (10): 581-587. doi:10.1038/jhg.2015.68  
15.   Nagasaki Masao, Yasuda Jun, Katsuoka Fumiki, et al. Rare variant discovery by deep whole-genome sequencing of 1,070 Japanese individuals. Nature communications. 2015; 6 : 8018. doi:10.1038/ncomms9018  
16.   Motoike Ikuko N, Matsumoto Mitsuyo, Danjoh Inaho, et al. Validation of multiple single nucleotide variation calls by additional exome analysis with a semiconductor sequencer to supplement data of whole-genome sequencing of a human population. BMC genomics. 2014; 15 : 673. doi:10.1186/1471-2164-15-673