| 1. | Abdelhafiz Ahmed Samir, Henderson Marianne K., Kozlakidis Zisis, et al. Transforming Biobanking with AI: Perspectives from Leading Experts. Biopreservation and Biobanking. 2025; : . doi:10.1089/bio.2025.0101 | ||
| 2. | Akimoto Takafumi, Inaba Hiroshi, Ogishima Soichi, et al. Comparison of genotypes and phenotypes for von Willebrand factor gene variants using Japanese genome database. Blood Vessels, Thrombosis & Hemostasis. 2025; : 100070. doi:10.1016/j.bvth.2025.100070 | ||
| 3. | Takase Masato, Nakaya Naoki, Tanno Kozo, et al. Has the impact of cigarette smoking on mortality been underestimated by overlooking second-hand smoke? Tohoku medical megabank community-based cohort study. BMJ Public Health. 2025; 3 (1): e001746. doi:10.1136/bmjph-2024-001746 | ||
| 4. | Tokioka Sayuri, Nakaya Naoki, Hatanaka Rieko, et al. Association Between Sodium- and Potassium-Related Urinary Markers and the Prevalence of Atrial Fibrillation. Circulation Journal. 2025; 89 (6): CJ-24-0780. doi:10.1253/circj.CJ-24-0780 | ||
| 5. | Tokioka Sayuri, Takase Masato, Nakaya Naoki, et al. Sex difference in genetic risk in the prevalence of atrial fibrillation. Heart Rhythm. 2025; : . doi:10.1016/j.hrthm.2025.03.1974 | ||
| 6. | Nagino Ken, Akasaki Yasutsugu, Fuse Nobuo, et al. Integration of Digital Phenotyping and Genomics for Dry Eye Disease: Protocol for a Prospective Cohort Study. JMIR Research Protocols. 2025; 14 : e67862. doi:10.2196/67862 | ||
| 7. | Sawahashi Motoi, Kakuta Yoichi, Naito Takeo, et al. Autoantibodies against endothelial protein C receptor and integrin αvβ6 predict the development of ulcerative colitis. Journal of Gastroenterology. 2025; : . doi:10.1007/s00535-025-02263-7 | ||
| 8. | Kawahara Tomoki, Nawa Nobutoshi, Murakami Keiko, et al. Genetic effects on gestational diabetes mellitus and their interactions with environmental factors among Japanese women. Journal of Human Genetics. 2025; 70 (5): 265-273. doi:10.1038/s10038-025-01330-4 | ||
| 9. | Ohneda Kinuko, Suzuki Yoichi, Hamanaka Yohei, et al. Returning genetic risk information for hereditary cancers to participants in a population-based cohort study in Japan. Journal of Human Genetics. 2025; 70 (3): 147-157. doi:10.1038/s10038-024-01314-w | ||
| 10. | Sawane Kento, Takahashi Ippei, Ishikuro Mami, et al. Exploring the association between human breast milk lipids and early adiposity rebound in children: A case-control study. Nutrition. 2025; 135 : 112739. doi:10.1016/j.nut.2025.112739 | ||
| 11. | Fuse Nobuo, Anzawa Hayato, Sakurai Miyuki, et al. Genome-Wide Association Study of Intraocular Pressure in Population-Based Cohorts in Japan: The Tohoku Medical Megabank Organization Eye Study. Ophthalmology Science. 2025; 5 (5): 100821. doi:10.1016/j.xops.2025.100821 | ||
| 12. | Shiraki Akihiko, Hirayama Atsushi, Fuse Nobuo, et al. Prevalence and Associations of Epiretinal Membrane by OCT in a Japanese Population-Based Cohort: Tohoku Medical Megabank Organization Eye Study. Ophthalmology Science. 2025; 5 (4): 100752. doi:10.1016/j.xops.2025.100752 | ||
| 13. | Takahashi Ippei, Shinoda Genki, Ueno Fumihiko, et al. Respiratory syncytial virus infection, non‐respiratory syncytial virus respiratory infections, and later wheezing. Pediatrics International. 2025; 67 (1): . doi:10.1111/ped.70050 | ||
| 14. | Takase Masato, Nakaya Naoki, Nakamura Tomohiro, et al. Genetic risk, lifestyle adherence, and risk of developing hyperuricaemia in a Japanese population. Rheumatology. 2025; 64 (5): 2591-2600. doi:10.1093/rheumatology/keae492 | ||
| 15. | Sawane Kento, Takahashi Ippei, Ishikuro Mami, et al. Association Between Human Milk Oligosaccharides and Early Adiposity Rebound in Children: A Case–Control Study of the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. The Journal of Nutrition. 2025; 155 (5): 1498-1507. doi:10.1016/j.tjnut.2025.02.024 | ||
| 16. | Mizuno Satoshi, Nagaie Satoshi, Sugawara Junichi, et al. Early prediction of hypertensive disorders of pregnancy toward preventive early intervention. AJOG Global Reports. 2024; 4 (4): 100383. doi:10.1016/j.xagr.2024.100383 | ||
| 17. | Chiba Ippei, Nakaya Naoki, Kogure Mana, et al. Associations between leisure time, non-leisure time physical activity, and kidney function in Japanese adults: a cross-sectional study. BMC Nephrology. 2024; 25 (1): 354. doi:10.1186/s12882-024-03813-6 | ||
| 18. | Akaishi Tetsuya, Nakaya Kumi, Nakaya Naoki, et al. Low Hemoglobin Level and Elevated Inflammatory Hematological Ratios Associated With Depression and Sleep Disturbance. Cureus. 2024; : . doi:10.7759/cureus.56621 | ||
| 19. | Takase Masato, Hirata Takumi, Nakaya Naoki, et al. Associations of combined genetic and lifestyle risks with hypertension and home hypertension. Hypertension Research. 2024; 47 (8): 2064-2074. doi:10.1038/s41440-024-01705-8 | ||
| 20. | 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; 47 (6): 1533-1545. doi:10.1038/s41440-024-01582-1 | ||
| 21. | Tokioka Sayuri, Nakaya Naoki, Nakaya Kumi, et al. The association between depressive symptoms and masked hypertension in participants with normotension measured at research center. Hypertension Research. 2024; 47 (3): 586-597. doi:10.1038/s41440-023-01484-8 | ||
| 22. | Himuro Hiromi, Kogure Mana, Nakaya Naoki, et al. The association of birth weight and current BMI on the risk of hypertension: the Tohoku medical megabank community-based cohort study. Hypertension Research. 2024; 47 (11): 3025-3034. doi:10.1038/s41440-024-01827-z | ||
| 23. | Orui Masatsugu, Obara Taku, Ishikuro Mami. How Healthy Lifestyle Habits Have Interacted with SARS-CoV-2 Infection and the Effectiveness of COVID-19 Vaccinations: Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. JMA Journal. 2024; 7 (3): 353-363. doi:10.31662/jmaj.2024-0043 | ||
| 24. | Yamada Mitsuhiro, Takase Masato, Nakaya Kumi, et al. Fractional exhaled nitric oxide distribution and its relevant factors in the general adult population and its healthy subpopulation. Journal of Allergy and Clinical Immunology: Global. 2024; 3 (3): 100253. doi:10.1016/j.jacig.2024.100253 | ||
| 25. | Takase Masato, Nakaya Naoki, Nakamura Tomohiro, et al. Genetic Risk, Healthy Lifestyle Adherence, and Risk of Developing Diabetes in the Japanese Population. Journal of Atherosclerosis and Thrombosis. 2024; 31 (12): 64906. doi:10.5551/jat.64906 | ||
| 26. | Takase Masato, Nakamura Tomohiro, Nakaya Naoki, et al. Relationships of Fat Mass Index and Fat-Free Mass Index with Low-Density Lipoprotein Cholesterol Levels in the Tohoku Medical Megabank Community-Based Cohort Study. Journal of Atherosclerosis and Thrombosis. 2024; 31 (6): 64535. doi:10.5551/jat.64535 | ||
| 27. | Hozawa Atsushi, Nakaya Kumi, Nakaya Naoki, et al. Progress Report of the Tohoku Medical Megabank Community-based Cohort Study: Study Profile of the Repeated Center-based Survey During Second Period in Miyagi Prefecture. Journal of Epidemiology. 2024; 34 (9): JE20230241. doi:10.2188/jea.JE20230241 | ||
| 28. | Harada Sei, Iida Miho, Miyagawa Naoko, et al. Study Profile of the Tsuruoka Metabolomics Cohort Study (TMCS). Journal of Epidemiology. 2024; 34 (8): JE20230192. doi:10.2188/jea.JE20230192 | ||
| 29. | Sato Keigo, Nakamura Yoshitaka, Fujiyama Kazuhito, et al. Absolute quantification of eight human milk oligosaccharides in breast milk to evaluate their concentration profiles and associations with infants’ neurodevelopmental outcomes. Journal of Food Science. 2024; 89 (12): 10152-10170. doi:10.1111/1750-3841.17597 | ||
| 30. | Nakaya Kumi, Nakaya Naoki, Kogure Mana, et al. Factors Associated With the Prevalence of Irritable Bowel Syndrome: The Miyagi Part of the Tohoku Medical Megabank Project Community-based Cohort Study. Journal of Neurogastroenterology and Motility. 2024; 30 (2): 208-219. doi:10.5056/jnm23090 | ||
| 31. | Namba Shinichi, Akiyama Masato, Hamanoue Haruka, et al. Inconsistent embryo selection across polygenic score methods. Nature Human Behaviour. 2024; 8 (12): 2264-2267. doi:10.1038/s41562-024-02019-y | ||
| 32. | Li Xue, Takahashi Nagahide, Narita Akira, et al. Identification of risk loci for postpartum depression in a genome‐wide association study. Psychiatry and Clinical Neurosciences. 2024; 78 (11): 712-720. doi:10.1111/pcn.13731 | ||
| 33. | Sato Shuichi, Imaeda Takao, Mugikura Shunji, et al. Association of olfactory and cognitive function test scores with hippocampal and amygdalar grey matter volume: a cross-sectional study. Scientific Reports. 2024; 14 (1): 19138. doi:10.1038/s41598-024-69726-4 | ||
| 34. | Mizuno Satoshi, Wagata Maiko, Nagaie Satoshi, et al. Development of phenotyping algorithms for hypertensive disorders of pregnancy (HDP) and their application in more than 22,000 pregnant women. Scientific Reports. 2024; 14 (1): 6292. doi:10.1038/s41598-024-55914-9 | ||
| 35. | Mizuno Satoshi, Nagaie Satoshi, Tamiya Gen, et al. Establishment of the early prediction models of low-birth-weight reveals influential genetic and environmental factors: a prospective cohort study. BMC Pregnancy and Childbirth. 2023; 23 (1): 628. doi:10.1186/s12884-023-05919-5 | ||
| 36. | Li Xue, Ono Chiaki, Warita Noriko, et al. Comprehensive evaluation of machine learning algorithms for predicting sleep–wake conditions and differentiating between the wake conditions before and after sleep during pregnancy based on heart rate variability. Frontiers in Psychiatry. 2023; 14 : . doi:10.3389/fpsyt.2023.1104222 | ||
| 37. | Taira Makiko, Mugikura Shunji, Mori Naoko, et al. Tohoku Medical Megabank Brain Magnetic Resonance Imaging Study: Rationale, Design, and Background. JMA Journal. 2023; 6 (3): 246-264. doi:10.31662/jmaj.2022-0220 | ||
| 38. | Sato Shuichi, Imaeda Takao, Mugikura Shunji, et al. Association Between Olfactory Test Data with Multiple Levels of Odor Intensity and Suspected Cognitive Impairment: A Cross-Sectional Study. Journal of Alzheimer's Disease. 2023; 95 (4): 1469-1480. doi:10.3233/JAD-230318 | ||
| 39. | Tokioka Sayuri, Nakaya Naoki, Nakaya Kumi, et al. Association of Central Blood Pressure and Carotid Intima Media Thickness with New-Onset Hypertension in People with High Normal Blood Pressure. Journal of Atherosclerosis and Thrombosis. 2023; 30 (12): 64151. doi:10.5551/jat.64151 | ||
| 40. | Takase Masato, Nakaya Naoki, Nakamura Tomohiro, et al. Influence of Diabetes Family History on the Associations of Combined Genetic and Lifestyle Risks with Diabetes in the Tohoku Medical Megabank Community-Based Cohort Study. Journal of Atherosclerosis and Thrombosis. 2023; 30 (12): 64425. doi:10.5551/jat.64425 | ||
| 41. | Saito Yoshie, Sato Keigo, Jinno Shinji, et al. Effect of Nicotinamide Mononucleotide Concentration in Human Milk on Neurodevelopmental Outcome: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Nutrients. 2023; 16 (1): 145. doi:10.3390/nu16010145 | ||
| 42. | Ono Chiaki T., Yu Zhiqian, Obara Taku, et al. Association between low levels of anti‐inflammatory cytokines during pregnancy and postpartum depression. Psychiatry and Clinical Neurosciences. 2023; 77 (8): 434-441. doi:10.1111/pcn.13566 | ||
| 43. | Shiga Hisashi, Takahashi Takahiro, Shiraki Manabu, et al. Reduced antiviral seropositivity among patients with inflammatory bowel disease treated with immunosuppressive agents. Scandinavian Journal of Gastroenterology. 2023; 58 (4): 360-367. doi:10.1080/00365521.2022.2132831 | ||
| 44. | 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 | ||
| 45. | Shimokawa Kazuro. A knowledge representation model for family relationship to three generation. Bioinformation. 2022; 18 (12): 1166-1172. doi:10.6026/973206300181166 | ||
| 46. | Li Xue, Ono Chiaki, Warita Noriko, et al. Heart Rate Information-Based Machine Learning Prediction of Emotions Among Pregnant Women. Frontiers in Psychiatry. 2022; 12 : . doi:10.3389/fpsyt.2021.799029 | ||
| 47. | 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 | ||
| 48. | 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 | ||
| 49. | 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 | ||
| 50. | 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 | ||
| 51. | Fuse Nobuo, Sakurai Miyuki, Motoike Ikuko N., et al. Genome-wide Association Study of Axial Length in Population-based Cohorts in Japan. Ophthalmology Science. 2022; 2 (1): 100113. doi:10.1016/j.xops.2022.100113 | ||
| 52. | Matsuyama Takashi, Narita Akira, Takanashi Masaki, et al. Visualization of estimated prevalence of CES-D positivity accounting for background factors and AIS scores. Scientific Reports. 2022; 12 (1): 17656. doi:10.1038/s41598-022-22266-1 | ||
| 53. | Rehm Heidi L., Page Angela J.H., Smith Lindsay, et al. GA4GH: International policies and standards for data sharing across genomic research and healthcare. Cell Genomics. 2021; 1 (2): 100029. doi:10.1016/j.xgen.2021.100029 | ||
| 54. | Lawson Jonathan, Cabili Moran N., Kerry Giselle, et al. The Data Use Ontology to streamline responsible access to human biomedical datasets. Cell Genomics. 2021; 1 (2): 100028. doi:10.1016/j.xgen.2021.100028 | ||
| 55. | Yamada Mitsuhiro, Motoike Ikuko N., Kojima Kaname, et al. Genetic loci for lung function in Japanese adults with adjustment for exhaled nitric oxide levels as airway inflammation indicator. Communications Biology. 2021; 4 (1): 1288. doi:10.1038/s42003-021-02813-8 | ||
| 56. | 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 | ||
| 57. | 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 | ||
| 58. | 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 | ||
| 59. | Tokunaga Hideki, Iida Keita, Hozawa Atsushi, et al. Novel candidates of pathogenic variants of the BRCA1 and BRCA2 genes from a dataset of 3,552 Japanese whole genomes (3.5KJPNv2). PLOS ONE. 2021; 16 (1): e0236907. doi:10.1371/journal.pone.0236907 | ||
| 60. | Matsunaga Hiroshi, Ito Kaoru, Akiyama Masato, et al. Transethnic Meta-Analysis of Genome-Wide Association Studies Identifies Three New Loci and Characterizes Population-Specific Differences for Coronary Artery Disease. Circulation: Genomic and Precision Medicine. 2020; 13 (3): . doi:10.1161/CIRCGEN.119.002670 | ||
| 61. | 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 | ||
| 62. | Wagata Maiko, Ishikuro Mami, Obara Taku, et al. Low birth weight and abnormal pre-pregnancy body mass index were at higher risk for hypertensive disorders of pregnancy. Pregnancy Hypertension. 2020; 22 : 119-125. doi:10.1016/j.preghy.2020.08.001 | ||
| 63. | 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 | ||
| 64. | 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 | ||
| 65. | Narita Akira, Nagai Masato, Mizuno Satoshi, et al. Clustering by phenotype and genome-wide association study in autism. Translational Psychiatry. 2020; 10 (1): 290. doi:10.1038/s41398-020-00951-x | ||
| 66. | 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 | ||
| 67. | 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 | ||
| 68. | 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 | ||
| 69. | 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 | ||
| 70. | 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 | ||
| 71. | 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 | ||
| 72. | 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 | ||
| 73. | 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 | ||
| 74. | 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 | ||
| 75. | Fujiwara Masaki, Inagaki Masatoshi, Nakaya Naoki, et al. Association between serious psychological distress and nonparticipation in cancer screening and the modifying effect of socioeconomic status: Analysis of anonymized data from a national cross-sectional survey in Japan. Cancer. 2018; 124 (3): 555-562. doi:10.1002/cncr.31086 | ||
| 76. | Kogetsu Atsushi, Ogishima Soichi, Kato Kazuto. Authentication of Patients and Participants in Health Information Exchange and Consent for Medical Research: A Key Step for Privacy Protection, Respect for Autonomy, and Trustworthiness. Frontiers in Genetics. 2018; 9 : 167. doi:10.3389/fgene.2018.00167 | ||
| 77. | Ogishima Soichi. [Human Genome Data and Drug Development]. Gan to kagaku ryoho. Cancer & chemotherapy. 2018; 45 (4): 597-600. http://www.ncbi.nlm.nih.gov/pubmed/29650811 | ||
| 78. | 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 | ||
| 79. | 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 | ||
| 80. | 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 | ||
| 81. | 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 | ||
| 82. | Low Siew-Kee, Takahashi Atsushi, Ebana Yusuke, et al. Identification of six new genetic loci associated with atrial fibrillation in the Japanese population. Nature Genetics. 2017; 49 (6): 953-958. doi:10.1038/ng.3842 | ||
| 83. | Köhler Sebastian, Vasilevsky Nicole A, Engelstad Mark, et al. The Human Phenotype Ontology in 2017. Nucleic Acids Research. 2017; 45 (D1): D865-D876. doi:10.1093/nar/gkw1039 | ||
| 84. | Noguchi Shuhei, Arakawa Takahiro, Fukuda Shiro, et al. FANTOM5 CAGE profiles of human and mouse samples. Scientific Data. 2017; 4 (1): 170112. doi:10.1038/sdata.2017.112 | ||
| 85. | 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 | ||
| 86. | Ogishima Soichi, Mizuno Satoshi, Kikuchi Masataka, et al. AlzPathway, an Updated Map of Curated Signaling Pathways: Towards Deciphering Alzheimer’s Disease Pathogenesis. Methods in molecular biology (Clifton, N.J.). 2016; 1303 : 423-432. doi:10.1007/978-1-4939-2627-5_25 | ||
| 87. | Kikuchi Masataka, Ogishima Soichi, Mizuno Satoshi, et al. Network-Based Analysis for Uncovering Mechanisms Underlying Alzheimer’s Disease. Methods in molecular biology (Clifton, N.J.). 2016; 1303 : 479-491. doi:10.1007/978-1-4939-2627-5_29 | ||
| 88. | Mizuno Satoshi, Ogishima Soichi, Kitatani Kazuyuki, et al. Network Analysis of a Comprehensive Knowledge Repository Reveals a Dual Role for Ceramide in Alzheimer’s Disease. PLOS ONE. 2016; 11 (2): e0148431. doi:10.1371/journal.pone.0148431 | ||
| 89. | Mizuno Satoshi, Ogishima Soichi, Nishigori Hidekazu, et al. The Pre-Eclampsia Ontology: A Disease Ontology Representing the Domain Knowledge Specific to Pre-Eclampsia. PLOS ONE. 2016; 11 (10): e0162828. doi:10.1371/journal.pone.0162828 | ||
| 90. | 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 | ||
| 91. | Nagaie Satoshi, Ogishima Soichi, Nakaya Jun, Tanaka Hiroshi. A method to associate all possible combinations of genetic and environmental factors using GxE landscape plot. Bioinformation. 2015; 11 (3): 161-164. doi:10.6026/97320630011161 | ||
| 92. | Ogishima Soichi, Tanaka Hiroshi, Nakaya Jun. Modularity in the evolution of yeast protein interaction network. Bioinformation. 2015; 11 (3): 127-130. doi:10.6026/97320630011127 | ||
| 93. | Aoki-Kinoshita Kiyoko F, Kinjo Akira R, Morita Mizuki, et al. Implementation of linked data in the life sciences at BioHackathon 2011. Journal of Biomedical Semantics. 2015; 6 (1): 3. doi:10.1186/2041-1480-6-3 | ||
| 94. | Tanaka Hiroshi, Ogishima Soichi. Network biology approach to epithelial–mesenchymal transition in cancer metastasis: three stage theory. Journal of Molecular Cell Biology. 2015; 7 (3): 253-266. doi:10.1093/jmcb/mjv035 | ||
| 95. | 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 | ||
| 96. | Arner Erik, Daub Carsten O, Vitting-Seerup Kristoffer, et al. Transcribed enhancers lead waves of coordinated transcription in transitioning mammalian cells. Science. 2015; 347 (6225): 1010-1014. doi:10.1126/science.1259418 | ||
| 97. | Ogishima Soichi, Takai Takako, Shimokawa Kazuro, et al. Integrated Database And Knowledge Base For Genomic Prospective Cohort Study In Tohoku Medical Megabank Toward Personalized Prevention And Medicine. Studies in health technology and informatics. 2015; 216 : 1057. doi:10.3233/978-1-61499-564-7-1057 | ||
| 98. | Katayama Toshiaki, Wilkinson Mark D, Aoki-Kinoshita Kiyoko F, et al. BioHackathon series in 2011 and 2012: penetration of ontology and linked data in life science domains. Journal of Biomedical Semantics. 2014; 5 (1): 5. doi:10.1186/2041-1480-5-5 | ||
| 99. | FANTOM Consortium and the RIKEN PMI and CLST (DGT) The FANTOM Consortium and the RIKEN PMI and CLST, Forrest Alistair R R, Kawaji Hideya, et al. A promoter-level mammalian expression atlas. Nature. 2014; 507 (7493): 462-70. doi:10.1038/nature13182 | ||
| 100. | Miyashita A, Hatsuta H, Kikuchi M, et al. Genes associated with the progression of neurofibrillary tangles in Alzheimer’s disease. Translational Psychiatry. 2014; 4 (6): e396-e396. doi:10.1038/tp.2014.35 | ||
| 101. | Nakaya J., Kimura M., Ogishima S., et al. Future Direction of IMIA Standardization. Yearbook of Medical Informatics. 2014; 23 (01): 105-109. doi:10.15265/IY-2014-0010 | ||
| 102. | Nishio Yousuke, Ogishima Soichi, Ichikawa Masao, et al. Analysis of l-glutamic acid fermentation by using a dynamic metabolic simulation model of Escherichia coli. BMC Systems Biology. 2013; 7 (1): 92. doi:10.1186/1752-0509-7-92 | ||
| 103. | Ogishima S, Mizuno S, Kikuchi M, et al. A Map of Alzheimer’s Disease–Signaling Pathways: A Hope for Drug Target Discovery. Clinical Pharmacology & Therapeutics. 2013; 93 (5): 399-401. doi:10.1038/clpt.2013.37 | ||
| 104. | Kikuchi Masataka, Ogishima Soichi, Miyamoto Tadashi, et al. Identification of Unstable Network Modules Reveals Disease Modules Associated with the Progression of Alzheimer’s Disease. PLoS ONE. 2013; 8 (11): e76162. doi:10.1371/journal.pone.0076162 | ||
| 105. | Böck Matthias, Ogishima Soichi, Tanaka Hiroshi, et al. Hub-Centered Gene Network Reconstruction Using Automatic Relevance Determination. PLoS ONE. 2012; 7 (5): e35077. doi:10.1371/journal.pone.0035077 |