Tohoku University Tohoku Medical Megabank Organization (Naoko Minegishi)
2024.03.28

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5.   Kobayashi Tomoko, Kobayashi Mika, Minegishi Naoko, et al. Design and Progress of Child Health Assessments at Community Support Centers in the Birth and Three-Generation Cohort Study of the Tohoku Medical Megabank Project. The Tohoku Journal of Experimental Medicine. 2023; 259 (2): 2022.J103. doi:10.1620/tjem.2022.J103  
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7.   Suzuki Kaoru, Kakuta Yoichi, Naito Takeo, et al. Genetic Background of Mesalamine-induced Fever and Diarrhea in Japanese Patients with Inflammatory Bowel Disease. Inflammatory Bowel Diseases. 2022; 28 (1): 21-31. doi:10.1093/ibd/izab004  
8.   Yu Zhiqian, Matsukawa Naomi, Saigusa Daisuke, et al. Plasma metabolic disturbances during pregnancy and postpartum in women with depression. iScience. 2022; 25 (12): 105666. doi:10.1016/j.isci.2022.105666  
9.   Ohneda Kinuko, Hiratsuka Masahiro, Kawame Hiroshi, et al. A Pilot Study for Return of Individual Pharmacogenomic Results to Population-Based Cohort Study Participants. JMA Journal. 2022; 5 (2): . doi:10.31662/jmaj.2021-0156  
10.   Kakuta Yoichi, Iwaki Hideya, Umeno Junji, et al. Crohn’s Disease and Early Exposure to Thiopurines are Independent Risk Factors for Mosaic Chromosomal Alterations in Patients with Inflammatory Bowel Diseases. Journal of Crohn's and Colitis. 2022; 16 (4): 643-655. doi:10.1093/ecco-jcc/jjab199  
11.   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  
12.   Kawame Hiroshi, Fukushima Akimune, Fuse Nobuo, et al. The return of individual genomic results to research participants: design and pilot study of Tohoku Medical Megabank Project. Journal of Human Genetics. 2022; 67 (1): 9-17. doi:10.1038/s10038-021-00952-8  
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15.   Saito Sakae, Aoki Yuichi, Tamahara Toru, et al. Oral Microbiome Analysis in Prospective Genome Cohort Studies of the Tohoku Medical Megabank Project. Frontiers in Cellular and Infection Microbiology. 2021; 10 : . doi:10.3389/fcimb.2020.604596  
16.   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  
17.   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  
18.   Shido Kosuke, Kojima Kaname, Shirota Matsuyuki, et al. GWAS Identified IL4R and the Major Histocompatibility Complex Region as the Associated Loci of Total Serum IgE Levels in 9,260 Japanese Individuals. Journal of Investigative Dermatology. 2021; 141 (11): 2749-2752. doi:10.1016/j.jid.2021.02.762  
19.   Otsuki Akihito, Okamura Yasunobu, Aoki Yuichi, et al. Identification of Dominant Transcripts in Oxidative Stress Response by a Full-Length Transcriptome Analysis. Molecular and Cellular Biology. 2021; 41 (2): 1-18. doi:10.1128/MCB.00472-20  
20.   Yamauchi Takafumi, Ochi Daisuke, Matsukawa Naomi, et al. Machine learning approaches to predict gestational age in normal and complicated pregnancies via urinary metabolomics analysis. Scientific Reports. 2021; 11 (1): 17777. doi:10.1038/s41598-021-97342-z  
21.   Sakurai-Yageta Mika, Kumada Kazuki, Gocho Chinatsu, et al. Japonica Array NEO with increased genome-wide coverage and abundant disease risk SNPs. The Journal of Biochemistry. 2021; 170 (3): 399-410. doi:10.1093/jb/mvab060  
22.   Yokose Takahiro, Kabe Yasuaki, Matsuda Atsushi, et al. O-Glycan-Altered Extracellular Vesicles: A Specific Serum Marker Elevated in Pancreatic Cancer. Cancers. 2020; 12 (9): 2469. doi:10.3390/cancers12092469  
23.   Nakamura Ryoichi, Misawa Kazuharu, Tohnai Genki, et al. A multi-ethnic meta-analysis identifies novel genes, including ACSL5, associated with amyotrophic lateral sclerosis. Communications Biology. 2020; 3 (1): 526. doi:10.1038/s42003-020-01251-2  
24.   Koshiba Seizo, Motoike Ikuko N., Saigusa Daisuke, et al. Identification of critical genetic variants associated with metabolic phenotypes of the Japanese population. Communications Biology. 2020; 3 (1): 662. doi:10.1038/s42003-020-01383-5  
25.   Ishida Noriko, Aoki Yuichi, Katsuoka Fumiki, et al. Landscape of electrophilic and inflammatory stress-mediated gene regulation in human lymphoblastoid cell lines. Free Radical Biology and Medicine. 2020; 161 : 71-83. doi:10.1016/j.freeradbiomed.2020.09.023  
26.   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  
27.   Kakuta Yoichi, Izumiyama Yasuhiro, Okamoto Daisuke, et al. High-resolution melt analysis enables simple genotyping of complicated polymorphisms of codon 18 rendering the NUDT15 diplotype. Journal of Gastroenterology. 2020; 55 (1): 67-77. doi:10.1007/s00535-019-01638-x  
28.   Ishigaki Kazuyoshi, Akiyama Masato, Kanai Masahiro, et al. Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases. Nature Genetics. 2020; 52 (7): 669-679. doi:10.1038/s41588-020-0640-3  
29.   Tsuboi Akito, Matsui Hiroyuki, Shiraishi Naru, et al. Design and Progress of Oral Health Examinations in the Tohoku Medical Megabank Project. The Tohoku Journal of Experimental Medicine. 2020; 251 (2): 97-115. doi:10.1620/tjem.251.97  
30.   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  
31.   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  
32.   Sugawara Junichi, Ochi Daisuke, Yamashita Riu, et al. Maternity Log study: a longitudinal lifelog monitoring and multiomics analysis for the early prediction of complicated pregnancy. BMJ Open. 2019; 9 (2): e025939. doi:10.1136/bmjopen-2018-025939  
33.   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  
34.   Nagasaki Masao, Kuroki Yoko, Shibata Tomoko F., et al. Construction of JRG (Japanese reference genome) with single-molecule real-time sequencing. Human Genome Variation. 2019; 6 (1): 27. doi:10.1038/s41439-019-0057-7  
35.   Shido Kosuke, Kojima Kaname, Yamasaki Kenshi, et al. Susceptibility Loci for Tanning Ability in the Japanese Population Identified by a Genome-Wide Association Study from the Tohoku Medical Megabank Project Cohort Study. Journal of Investigative Dermatology. 2019; 139 (7): 1605-1608.e13. doi:10.1016/j.jid.2019.01.015  
36.   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  
37.   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  
38.   Amano Yuji, Akazawa Yohei, Yasuda Jun, et al. A low-frequency IL4R locus variant in Japanese patients with intravenous immunoglobulin therapy-unresponsive Kawasaki disease. Pediatric Rheumatology. 2019; 17 (1): 34. doi:10.1186/s12969-019-0337-2  
39.   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  
40.   Mimori Takahiro, Yasuda Jun, Kuroki Yoko, et al. Construction of full-length Japanese reference panel of class I HLA genes with single-molecule, real-time sequencing. The Pharmacogenomics Journal. 2019; 19 (2): 136-146. doi:10.1038/s41397-017-0010-4  
41.   Minegishi Naoko, Nishijima Ichiko, Nobukuni Takahiro, et al. Biobank Establishment and Sample Management in the Tohoku Medical Megabank Project. The Tohoku Journal of Experimental Medicine. 2019; 248 (1): 45-55. doi:10.1620/tjem.248.45  
42.   Watanabe Takashi, Saito Takahiro, Rico Evelyn Marie Gutiérrez, et al. Functional characterization of 40 CYP2B6 allelic variants by assessing efavirenz 8-hydroxylation. Biochemical Pharmacology. 2018; 156 : 420-430. doi:10.1016/j.bcp.2018.09.010  
43.   Kabe Yasuaki, Suematsu Makoto, Sakamoto Satoshi, et al. Development of a Highly Sensitive Device for Counting the Number of Disease-Specific Exosomes in Human Sera. Clinical Chemistry. 2018; 64 (10): 1463-1473. doi:10.1373/clinchem.2018.291963  
44.   Kumondai Masaki, Ito Akio, Hishinuma Eiji, et al. Development and application of a rapid and sensitive genotyping method for pharmacogene variants using the single-stranded tag hybridization chromatographic printed-array strip (STH-PAS). Drug Metabolism and Pharmacokinetics. 2018; 33 (6): 258-263. doi:10.1016/j.dmpk.2018.08.003  
45.   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  
46.   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  
47.   Takai-Igarashi Takako, Kinoshita Kengo, Nagasaki Masao, et al. Security controls in an integrated Biobank to protect privacy in data sharing: rationale and study design. BMC Medical Informatics and Decision Making. 2017; 17 (1): 100. doi:10.1186/s12911-017-0494-5  
48.   Shido K, Kojima K, Hozawa A, et al. 503 Genome-wide association study identifies novel susceptibility loci for tanning ability in Japanese population. Journal of Investigative Dermatology. 2017; 137 (5): S86. doi:10.1016/j.jid.2017.02.523  
49.   Hirano Ikuo, Suzuki Norio, Yamazaki Shun, et al. Renal Anemia Model Mouse Established by Transgenic Rescue with an Erythropoietin Gene Lacking Kidney-Specific Regulatory Elements. Molecular and Cellular Biology. 2017; 37 (4): MCB.00451-16. doi:10.1128/MCB.00451-16  
50.   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  
51.   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  
52.   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  
53.   Shiwa Yuh, Hachiya Tsuyoshi, Furukawa Ryohei, et al. Adjustment of Cell-Type Composition Minimizes Systematic Bias in Blood DNA Methylation Profiles Derived by DNA Collection Protocols. PloS one. 2016; 11 (1): e0147519. doi:10.1371/journal.pone.0147519  
54.   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  
55.   Nakajima Tomomi, Kitagawa Kyoko, Ohhata Tatsuya, et al. Regulation of GATA-binding Protein 2 Levels via Ubiquitin-dependent Degradation by Fbw7. Journal of Biological Chemistry. 2015; 290 (16): 10368-10381. doi:10.1074/jbc.M114.613018  
56.   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 (1): 8018. doi:10.1038/ncomms9018  
57.   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 (1): 673. doi:10.1186/1471-2164-15-673  
58.   Kon Shunsuke, Minegishi Naoko, Tanabe Kenji, et al. Smap1 deficiency perturbs receptor trafficking and predisposes mice to myelodysplasia. Journal of Clinical Investigation. 2013; 123 (3): 1123-1137. doi:10.1172/JCI63711  
59.   Souma Tomokazu, Yamazaki Shun, Moriguchi Takashi, et al. Plasticity of Renal Erythropoietin-Producing Cells Governs Fibrosis. Journal of the American Society of Nephrology. 2013; 24 (10): 1599-1616. doi:10.1681/ASN.2013010030  
60.   Yamazaki Shun, Souma Tomokazu, Hirano Ikuo, et al. A mouse model of adult-onset anaemia due to erythropoietin deficiency. Nature Communications. 2013; 4 (1): 1950. doi:10.1038/ncomms2950  
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