Tohoku University Tohoku Medical Megabank Organization (ToMMo)
2021.03.05

1.   Saigusa Daisuke, Matsukawa Naomi, Hishinuma Eiji, Koshiba Seizo. Identification of biomarkers to diagnose diseases and find adverse drug reactions by metabolomics. Drug Metabolism and Pharmacokinetics. 2021; 37 : 100373. doi:10.1016/j.dmpk.2020.11.008  
2.   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  
3.   Murakami Keiko, Ueno Fumihiko, Nakamura Ibuki, et al. Maternal personality and postnatal bonding disorder in Japan: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Journal of Affective Disorders. 2021; 282 : 580-586. doi:10.1016/j.jad.2020.12.187  
4.   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  
5.   Takayama Jun, Tadaka Shu, Yano Kenji, et al. Construction and integration of three de novo Japanese human genome assemblies toward a population-specific reference. Nature Communications. 2021; 12 (1): 226. doi:10.1038/s41467-020-20146-8  
6.   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  
7.   Okuda Hiroshi, Okamoto Koji, Abe Michiaki, et al. Genome-wide association study identifies new loci for albuminuria in the Japanese population. Clinical and Experimental Nephrology. 2020; 24 (8): 1-9. doi:10.1007/s10157-020-01884-x  
8.   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  
9.   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  
10.   Kuniyoshi Yasutaka, Obara Taku, Ishikuro Mami, et al. Effectiveness of seasonal inactivated influenza vaccination in Japanese schoolchildren: an epidemiologic study at the community level. Human Vaccines & Immunotherapeutics. 2020; 16 (2): 295-300. doi:10.1080/21645515.2019.1655833  
11.   Wagata Maiko, Kogure Mana, Nakaya Naoki, et al. Hypertensive disorders of pregnancy, obesity, and hypertension in later life by age group: a cross-sectional analysis. Hypertension Research. 2020; 43 (11): 1277-1283. doi:10.1038/s41440-020-0463-8  
12.   Kogure Mana, Hirata Takumi, Nakaya Naoki, et al. Multiple measurements of the urinary sodium-to-potassium ratio strongly related home hypertension: TMM Cohort Study. Hypertension Research. 2020; 43 (1): 62-71. doi:10.1038/s41440-019-0335-2  
13.   Hirata Takumi, Nakamura Tomohiro, Kogure Mana, et al. Reduced sleep efficiency, measured using an objective device, was related to an increased prevalence of home hypertension in Japanese adults. Hypertension Research. 2020; 43 (1): 23-29. doi:10.1038/s41440-019-0329-0  
14.   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  
15.   Itabashi Fumi, Hirata Takumi, Kogure Mana, et al. Combined associations of liver enzymes and obesity with diabetes mellitus prevalence: The Tohoku Medical Megabank Community-based Cohort Study. Journal of Epidemiology. 2020; : . doi:10.2188/jea.JE20200384  
16.   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  
17.   Murakami Keiko, Ishikuro Mami, Ueno Fumihiko, et al. Social predictors of continued and indoor smoking among partners of non-smoking pregnant women: the TMM BirThree Cohort Study. Journal of Epidemiology. 2020; : . doi:10.2188/jea.JE20200313  
18.   Shirota Matsuyuki, Saigusa Daisuke, Yamashita Riu, et al. Longitudinal plasma amino acid profiling with maternal genomic background throughout human pregnancy. Medical Mass Spectrometry. 2020; 4 (1): 36-49. doi:10.24508/mms.2020.06.001  
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. 2020; 41 (2): . doi:10.1128/MCB.00472-20  
20.   Yonezawa Yudai, Obara Taku, Yamashita Takahiro, et al. Fruit and vegetable consumption before and during pregnancy and birth weight of new-borns in Japan: the Tohoku medical megabank project birth and three-generation cohort study. Nutrition Journal. 2020; 19 (1): 80. doi:10.1186/s12937-020-00595-z  
21.   Kojima Kaname, Tadaka Shu, Katsuoka Fumiki, et al. A genotype imputation method for de-identified haplotype reference information by using recurrent neural network. PLOS Computational Biology. 2020; 16 (10): e1008207. doi:10.1371/journal.pcbi.1008207  
22.   Nishizawa Ayako, Kumada Kazuki, Tateno Keiko, et al. Analysis of HLA-G long-read genomic sequences in mother–offspring pairs with preeclampsia. Scientific Reports. 2020; 10 (1): 20027. doi:10.1038/s41598-020-77081-3  
23.   Usuzaki Takuma, Ishikuro Mami, Metoki Hirohito, et al. Comparison among research, home, and office blood pressure measurements for pregnant women: The TMM BirThree Cohort Study. The Journal of Clinical Hypertension. 2020; 22 (11): 2004-2013. doi:10.1111/jch.14050  
24.   Kikuchi Daisuke, Obara Taku, Usuzaki Takuma, et al. Evaluating folic acid supplementation among Japanese pregnant women with dietary intake of folic acid lower than 480 µg per day: results from TMM BirThree Cohort Study. The Journal of Maternal-Fetal & Neonatal Medicine. 2020; : 1-6. doi:10.1080/14767058.2020.1739020  
25.   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  
26.   Nagami Fuji, Kuriki Miho, Koreeda Sachie, et al. Public Relations and Communication Strategies in Construction of Large-Scale Cohorts and Biobank: Practice in the Tohoku Medical Megabank Project. The Tohoku Journal of Experimental Medicine. 2020; 250 (4): 253-262. doi:10.1620/tjem.250.253  
27.   Takahashi Yuta, Ueki Masao, Yamada Makoto, et al. Improved metabolomic data-based prediction of depressive symptoms using nonlinear machine learning with feature selection. Translational Psychiatry. 2020; 10 (1): 157. doi:10.1038/s41398-020-0831-9  
28.   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  
29.   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  
30.   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  
31.   Kuniyoshi Yasutaka, Kikuya Masahiro, Miyashita Masako, et al. Prefabricated Temporary Housing and Eczema or Respiratory Symptoms in Schoolchildren after the Great East Japan Earthquake: The ToMMo Child Health Study. Disaster Medicine and Public Health Preparedness. 2019; 13 (5-6): 905-911. doi:10.1017/dmp.2019.8  
32.   Yamaguchi-Kabata Yumi, Yasuda Jun, Uruno Akira, et al. Estimating carrier frequencies of newborn screening disorders using a whole-genome reference panel of 3552 Japanese individuals. Human Genetics. 2019; 138 (4): 389-409. doi:10.1007/s00439-019-01998-7  
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.   Sakurai Rieko, Ueki Masao, Makino Satoshi, et al. Outlier detection for questionnaire data in biobanks. International Journal of Epidemiology. 2019; 48 (4): 1305-1315. doi:10.1093/ije/dyz012  
36.   Fuse Nobuo, Sakurai-Yageta Mika, Katsuoka Fumiki, et al. Establishment of Integrated Biobank for Precision Medicine and Personalized Healthcare: The Tohoku Medical Megabank Project. JMA Journal. 2019; 2 (2): 113-122. doi:10.31662/jmaj.2019-0014  
37.   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  
38.   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  
39.   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  
40.   Kuniyoshi Yasutaka, Kikuya Masahiro, Miyashita Masako, et al. Severity of eczema and mental health problems in Japanese schoolchildren: The ToMMo Child Health Study. Allergology International. 2018; 67 (4): 481-486. doi:10.1016/j.alit.2018.02.009  
41.   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  
42.   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  
43.   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  
44.   Tadaka Shu, Saigusa Daisuke, Motoike Ikuko N., et al. jMorp: Japanese Multi Omics Reference Panel. Nucleic Acids Research. 2018; 46 (D1): D551-D557. doi:10.1093/nar/gkx978  
45.   Hachiya Tsuyoshi, Narita Akira, Ohmomo Hideki, et al. Genome-wide analysis of polymorphism × sodium interaction effect on blood pressure identifies a novel 3′-BCL11B gene desert locus. Scientific Reports. 2018; 8 (1): 14162. doi:10.1038/s41598-018-32074-1  
46.   Ishikuro Mami, Obara Taku, Osanai Tamae, et al. Strategic Methods for Recruiting Grandparents: The Tohoku Medical Megabank Birth and Three-Generation Cohort Study. The Tohoku Journal of Experimental Medicine. 2018; 246 (2): 97-105. doi:10.1620/tjem.246.97  
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.   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  
49.   Nakaya Naoki, Nakamura Tomohiro, Tsuchiya Naho, et al. Psychological Distress and the Risk of Withdrawing From Hypertension Treatment After an Earthquake Disaster. Disaster Medicine and Public Health Preparedness. 2017; 11 (2): 179-182. doi:10.1017/dmp.2016.102  
50.   Hamanaka Teruhiko, Kimura Masae, Sakurai Tetsuro, et al. A Histologic Categorization of Aqueous Outflow Routes in Familial Open-Angle Glaucoma and Associations With Mutations in the MYOC Gene in Japanese Patients. Investigative Opthalmology & Visual Science. 2017; 58 (5): 2818. doi:10.1167/iovs.16-20646  
51.   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  
52.   Kikuya Masahiro. Development of a Questionnaire Method of Screening for Citrin Deficiency in Schoolchildren. JPCD. 2017; 4 : 1-4. doi:10.17303/jpcd.2017.4.101  
53.   Tsuchiya Naho, Nakaya Naoki, Nakamura Tomohiro, et al. Impact of social capital on psychological distress and interaction with house destruction and displacement after the Great East Japan Earthquake of 2011. Psychiatry and Clinical Neurosciences. 2017; 71 (1): 52-60. doi:10.1111/pcn.12467  
54.   Ueki Masao, Tamiya Gen. Smooth-Threshold Multivariate Genetic Prediction with Unbiased Model Selection. Genetic Epidemiology. 2016; 40 (3): 233-243. doi:10.1002/gepi.21958  
55.   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  
56.   Nakaya Naoki, Nakamura Tomohiro, Tsuchiya Naho, et al. Unemployment risk among individuals undergoing medical treatment for chronic diseases. Occupational Medicine. 2016; 66 (2): 143-149. doi:10.1093/occmed/kqv159  
57.   Yamagishi Junya, Sato Yukuto, Shinozaki Natsuko, et al. Comparison of Boiling and Robotics Automation Method in DNA Extraction for Metagenomic Sequencing of Human Oral Microbes. PLOS ONE. 2016; 11 (4): e0154389. doi:10.1371/journal.pone.0154389  
58.   Saigusa Daisuke, Okamura Yasunobu, Motoike Ikuko N., et al. Establishment of Protocols for Global Metabolomics by LC-MS for Biomarker Discovery. PLOS ONE. 2016; 11 (8): e0160555. doi:10.1371/journal.pone.0160555  
59.   Ishikuro Mami, Nakaya Naoki, Obara Taku, et al. Public Attitudes toward an Epidemiological Study with Genomic Analysis in the Great East Japan Earthquake Disaster Area. Prehospital and Disaster Medicine. 2016; 31 (3): 330-334. doi:10.1017/S1049023X16000182  
60.   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  
61.   Nakaya Naoki, Narita Akira, Tsuchiya Naho, et al. Partners’ Ongoing Treatment for Chronic Disease and the Risk of Psychological Distress after the Great East Japan Earthquake. The Tohoku Journal of Experimental Medicine. 2016; 239 (4): 307-314. doi:10.1620/tjem.239.307  
62.   相澤 弥生, 小林 朋子, 川目 裕. 網羅的ゲノム解析における偶発的所見を含む遺伝情報の結果の返却に関する我が国の現状と課題の検討 - 米国臨床遺伝・ゲノム学会 (ACMG) の偶発的所見取り扱いに関する推奨からの考察 -. 日本遺伝カウンセリング学会誌. 2016; 37(3) : 105 - 126. https://www.google.co.jp/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwiFlJC5zsnWAhVHm5QKHRZ8ASQQFggnMAA&url=https%3A%2F%2Fmol.medicalonline.jp%2Farchive%2Fselect%3Fjo%3Ddg8genco&usg=AFQjCNH2UmhYVh7WSBNqQlB4q9hwJq4L3A  
63.   Mimori Takahiro, Nariai Naoki, Kojima Kaname, et al. Estimating copy numbers of alleles from population-scale high-throughput sequencing data. BMC Bioinformatics. 2015; 16 (S1): S4. doi:10.1186/1471-2105-16-S1-S4  
64.   Nariai Naoki, Kojima Kaname, Saito Sakae, et al. HLA-VBSeq: accurate HLA typing at full resolution from whole-genome sequencing data. BMC Genomics. 2015; 16 (S2): S7. doi:10.1186/1471-2164-16-S2-S7  
65.   Nakaya Naoki, Nakamura Tomohiro, Tsuchiya Naho, et al. The Association Between Medical Treatment of Physical Diseases and Psychological Distress After the Great East Japan Earthquake: The Shichigahama Health Promotion Project. Disaster Medicine and Public Health Preparedness. 2015; 9 (4): 374-381. doi:10.1017/dmp.2015.52  
66.   Yamaguchi-Kabata Yumi, Nariai Naoki, Kawai Yosuke, et al. iJGVD: an integrative Japanese genome variation database based on whole-genome sequencing. Human Genome Variation. 2015; 2 (1): 15050. doi:10.1038/hgv.2015.50  
67.   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  
68.   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  
69.   Sato Yukuto, Yamagishi Junya, Yamashita Riu, et al. Inter-Individual Differences in the Oral Bacteriome Are Greater than Intra-Day Fluctuations in Individuals. PLOS ONE. 2015; 10 (6): e0131607. doi:10.1371/journal.pone.0131607  
70.   Miyashita Masako, Kikuya Masahiro, Yamanaka Chizuru, et al. Eczema and Asthma Symptoms among Schoolchildren in Coastal and Inland Areas after the 2011 Great East Japan Earthquake: The ToMMo Child Health Study. The Tohoku Journal of Experimental Medicine. 2015; 237 (4): 297-305. doi:10.1620/tjem.237.297  
71.   Kikuya Masahiro, Miyashita Masako, Yamanaka Chizuru, et al. Protocol and Research Perspectives of the ToMMo Child Health Study after the 2011 Great East Japan Earthquake. The Tohoku Journal of Experimental Medicine. 2015; 236 (2): 123-130. doi:10.1620/tjem.236.123  
72.   Katsuoka Fumiki, Yokozawa Junji, Tsuda Kaoru, et al. An efficient quantitation method of next-generation sequencing libraries by using MiSeq sequencer. Analytical Biochemistry. 2014; 466 (466C): 27-29. doi:10.1016/j.ab.2014.08.015  
73.   Sato Yukuto, Kojima Kaname, Nariai Naoki, et al. SUGAR: graphical user interface-based data refiner for high-throughput DNA sequencing. BMC Genomics. 2014; 15 (1): 664. doi:10.1186/1471-2164-15-664  
74.   Nariai Naoki, Kojima Kaname, Mimori Takahiro, et al. TIGAR2: sensitive and accurate estimation of transcript isoform expression with longer RNA-Seq reads. BMC Genomics. 2014; 15 (S10): S5. doi:10.1186/1471-2164-15-S10-S5  
75.   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  
76.   Kojima Kaname, Nariai Naoki, Mimori Takahiro, et al. HapMonster: A Statistically Unified Approach for Variant Calling and Haplotyping Based on Phase-Informative Reads. Lecture Notes in Computer Science. 2014; 8542 : 107-118. doi:10.1007/978-3-319-07953-0_9  
77.   Ohtsuki Tomohiko, Nariai Naoki, Kojima Kaname, et al. SVEM: A Structural Variant Estimation Method Using Multi-mapped Reads on Breakpoints. Lecture Notes in Computer Science. 2014; 8542 : 208-219. doi:10.1007/978-3-319-07953-0_17  
78.   Kojima Kaname, Nariai Naoki, Mimori Takahiro, et al. A statistical variant calling approach from pedigree information and local haplotyping with phase informative reads. Bioinformatics. 2013; Nov 15 (29(22)): 2835-43. doi:10.1093/bioinformatics/btt503  
79.   Nariai Naoki, Hirose Osamu, Kojima Kaname, Nagasaki Masao. TIGAR: transcript isoform abundance estimation method with gapped alignment of RNA-Seq data by variational Bayesian inference. Bioinformatics (Oxford, England). 2013; 29 (18): 2292-9. doi:10.1093/bioinformatics/btt381  
80.   Mimori Takahiro, Nariai Naoki, Kojima Kaname, et al. iSVP: an integrated structural variant calling pipeline from high-throughput sequencing data. BMC Systems Biology. 2013; 7 (Suppl 6): S8. doi:10.1186/1752-0509-7-S6-S8