Tohoku University Tohoku Medical Megabank Organization (Atsushi Shimizu)
2024.04.16

1.   Takase Masato, Nakaya Naoki, Tanno Kozo, et al. Relationship between traditional risk factors for hypertension and systolic blood pressure in the Tohoku Medical Megabank Community-based Cohort Study. Hypertension Research. 2024; : . doi:10.1038/s41440-024-01582-1  
2.   Harada Sei, Iida Miho, Miyagawa Naoko, et al. Study Profile of the Tsuruoka Metabolomics Cohort Study (TMCS). Journal of Epidemiology. 2024; : JE20230192. doi:10.2188/jea.JE20230192  
3.   Ishikuro Mami, Nishimura Tomoko, Iwata Hiroyoshi, et al. Association between infertility treatment and hypertensive disorders of pregnancy in the Japan Birth Cohort Consortium: a meta-analysis. Journal of Human Hypertension. 2024; 38 (2): 187-190. doi:10.1038/s41371-023-00890-2  
4.   Tadaka Shu, Kawashima Junko, Hishinuma Eiji, et al. jMorp: Japanese Multi-Omics Reference Panel update report 2023. Nucleic Acids Research. 2024; 52 (D1): D622-D632. doi:10.1093/nar/gkad978  
5.   Koyanagi Yuriko N., Nakatochi Masahiro, Namba Shinichi, et al. Genetic architecture of alcohol consumption identified by a genotype-stratified GWAS and impact on esophageal cancer risk in Japanese people. Science Advances. 2024; 10 (4): . doi:10.1126/sciadv.ade2780  
6.   Hanyuda Akiko, Goto Atsushi, Katagiri Ryoko, et al. Investigating the association between glycaemic traits and colorectal cancer in the Japanese population using Mendelian randomisation. Scientific Reports. 2023; 13 (1): 7052. doi:10.1038/s41598-023-33966-7  
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. 2022; 32 (2): 69-79. doi:10.2188/jea.JE20200338  
8.   Shimizu Atsushi. ヒトゲノム計画とヒトゲノム完全解読. JSBi Bioinformatics Review. 2022; 3 (1): 11-19. doi:10.11234/jsbibr.2022.primer2  
9.   Zempo Hirofumi, Kim Su-Jeong, Fuku Noriyuki, et al. A pro-diabetogenic mtDNA polymorphism in the mitochondrial-derived peptide, MOTS-c. Aging. 2021; 13 (2): 1692-1717. doi:10.18632/aging.202529  
10.   Kotozaki Yuka, Tanno Kozo, Sakata Kiyomi, et al. Association between the social isolation and depressive symptoms after the great East Japan earthquake: findings from the baseline survey of the TMM CommCohort study. BMC Public Health. 2021; 21 (1): 925. doi:10.1186/s12889-021-10896-5  
11.   Suzuki Shiori, Goto Atsushi, Nakatochi Masahiro, et al. Body mass index and colorectal cancer risk: A Mendelian randomization study. Cancer Science. 2021; 112 (4): 1579-1588. doi:10.1111/cas.14824  
12.   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. 2021; 75 (6): 937-945. doi:10.1038/s41430-020-00823-z  
13.   Ogishima Soichi, Nagaie Satoshi, Mizuno Satoshi, et al. dbTMM: an integrated database of large-scale cohort, genome and clinical data for the Tohoku Medical Megabank Project. Human Genome Variation. 2021; 8 (1): 44. doi:10.1038/s41439-021-00175-5  
14.   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  
15.   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  
16.   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  
17.   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  
18.   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  
19.   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  
20.   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  
21.   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  
22.   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  
23.   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  
24.   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  
25.   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  
26.   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  
27.   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  
28.   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  
29.   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  
30.   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  
31.   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  
32.   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  
33.   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  
34.   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  
35.   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