Tohoku University Tohoku Medical Megabank Organization (Atsushi Shimizu)
2021.03.05

1.   Zempo Hirofumi, Kim Su-Jeong, Fuku Noriyuki, et al. A pro-diabetogenic mtDNA polymorphism in the mitochondrial-derived peptide, MOTS-c. Aging. 2021; : . doi:10.18632/aging.202529  
2.   Suzuki Shiori, Goto Atsushi, Nakatochi Masahiro, et al. Body mass index and colorectal cancer risk: A Mendelian randomization study. Cancer Science. 2021; : cas.14824. doi:10.1111/cas.14824  
3.   Hozawa Atsushi, Tanno Kozo, Nakaya Naoki, et al. Study Profile of the Tohoku Medical Megabank Community-Based Cohort Study. Journal of Epidemiology. 2021; 31 (1): 65-76. doi:10.2188/jea.JE20190271  
4.   Tadaka Shu, Hishinuma Eiji, Komaki Shohei, et al. jMorp updates in 2020: large enhancement of multi-omics data resources on the general Japanese population. Nucleic Acids Research. 2021; 49 (D1): D536-D544. doi:10.1093/nar/gkaa1034  
5.   Suzuki Harumitsu, Nakamura Yasuyuki, Matsuo Keitaro, et al. A genome-wide association study in Japanese identified one variant associated with a preference for a Japanese dietary pattern. European Journal of Clinical Nutrition. 2020; : . doi:10.1038/s41430-020-00823-z  
6.   Kuriyama Shinichi, Metoki Hirohito, Kikuya Masahiro, et al. Cohort Profile: Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study (TMM BirThree Cohort Study): rationale, progress and perspective. International Journal of Epidemiology. 2020; 49 (1): 18-19m. doi:10.1093/ije/dyz169  
7.   Sugawara Junichi, Ishikuro Mami, Obara Taku, et al. Maternal Baseline Characteristics and Perinatal Outcomes: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Journal of Epidemiology. 2020; : . doi:10.2188/jea.JE20200338  
8.   Lin Yingsong, Nakatochi Masahiro, Hosono Yasuyuki, et al. Genome-wide association meta-analysis identifies GP2 gene risk variants for pancreatic cancer. Nature Communications. 2020; 11 (1): 3175. doi:10.1038/s41467-020-16711-w  
9.   Oikawa Yoshitsugu, Izumi Rumiko, Koide Masashi, et al. Mitochondrial dysfunction underlying sporadic inclusion body myositis is ameliorated by the mitochondrial homing drug MA-5. PLOS ONE. 2020; 15 (12): e0231064. doi:10.1371/journal.pone.0231064  
10.   Sakai Kensuke, Tanikawa Chizu, Hirasawa Akira, et al. Identification of a novel uterine leiomyoma GWAS locus in a Japanese population. Scientific Reports. 2020; 10 (1): 1197. doi:10.1038/s41598-020-58066-8  
11.   Takahashi Yuta, Ueki Masao, Tamiya Gen, et al. Machine learning for effectively avoiding overfitting is a crucial strategy for the genetic prediction of polygenic psychiatric phenotypes. Translational Psychiatry. 2020; 10 (1): 294. doi:10.1038/s41398-020-00957-5  
12.   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  
13.   Tanikawa Chizu, Kamatani Yoichiro, Terao Chikashi, et al. Novel Risk Loci Identified in a Genome-Wide Association Study of Urolithiasis in a Japanese Population. Journal of the American Society of Nephrology. 2019; 30 (5): 855-864. doi:10.1681/ASN.2018090942  
14.   Takata Ryo, Takahashi Atsushi, Fujita Masashi, et al. 12 new susceptibility loci for prostate cancer identified by genome-wide association study in Japanese population. Nature Communications. 2019; 10 (1): 4422. doi:10.1038/s41467-019-12267-6  
15.   Akiyama Masato, Ishigaki Kazuyoshi, Sakaue Saori, et al. Characterizing rare and low-frequency height-associated variants in the Japanese population. Nature Communications. 2019; 10 (1): 4393. doi:10.1038/s41467-019-12276-5  
16.   Nishiyama Takeshi, Nakatochi Masahiro, Goto Atsushi, et al. Genome-wide association meta-analysis and Mendelian randomization analysis confirm the influence of ALDH2 on sleep durationin the Japanese population. Sleep. 2019; 42 (6): . doi:10.1093/sleep/zsz046  
17.   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  
18.   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  
19.   Tanikawa Chizu, Kamatani Yoichiro, Toyoshima Osamu, et al. Genome‐wide association study identifies gastric cancer susceptibility loci at 12q24.11‐12 and 20q11.21. Cancer Science. 2018; 109 (12): 4015-4024. doi:10.1111/cas.13815  
20.   Tanikawa Chizu, Kamatani Yoichiro, Takahashi Atsushi, et al. GWAS identifies two novel colorectal cancer loci at 16q24.1 and 20q13.12. Carcinogenesis. 2018; 39 (5): 652-660. doi:10.1093/carcin/bgy026  
21.   Yamamoto Kayono, Shimizu Atsushi, Aizawa Fumie, et al. A comparison of genome cohort participants’ genetic knowledge and preferences to receive genetic results before and after a genetics workshop. Journal of Human Genetics. 2018; 63 (11): 1139-1147. doi:10.1038/s10038-018-0494-z  
22.   Yodsurang Varalee, Tang Yaqi, Takahashi Yukie, et al. Genome-wide association study (GWAS) of ovarian cancer in Japanese predicted regulatory variants in 22q13.1. PLOS ONE. 2018; 13 (12): e0209096. doi:10.1371/journal.pone.0209096  
23.   Yamamoto Kayono, Hachiya Tsuyoshi, Fukushima Akimune, et al. Population-based biobank participants’ preferences for receiving genetic test results. Journal of Human Genetics. 2017; 62 (12): 1037-1048. doi:10.1038/jhg.2017.81  
24.   Akiyama Masato, Okada Yukinori, Kanai Masahiro, et al. Genome-wide association study identifies 112 new loci for body mass index in the Japanese population. Nature Genetics. 2017; 49 (10): 1458-1467. doi:10.1038/ng.3951  
25.   Hachiya Tsuyoshi, Kamatani Yoichiro, Takahashi Atsushi, et al. Genetic Predisposition to Ischemic Stroke. Stroke. 2017; 48 (2): 253-258. doi:10.1161/STROKEAHA.116.014506  
26.   Kuriyama Shinichi, Yaegashi Nobuo, Nagami Fuji, et al. The Tohoku Medical Megabank Project: Design and Mission. Journal of Epidemiology. 2016; 26 (9): 493-511. doi:10.2188/jea.JE20150268