Tohoku University Tohoku Medical Megabank Organization (Atsushi Hozawa)

1.   Satoh Michihiro, Metoki Hirohito, Asayama Kei, et al. Prediction Models for the 5- and 10-Year Incidence of Home Morning Hypertension: The Ohasama Study. American Journal of Hypertension. 2022; 35 (4): 328-336. doi:10.1093/ajh/hpab177  
2.   Nakaya Naoki, Nakaya Kumi, Tsuchiya Naho, et al. Similarities in cardiometabolic risk factors among random male-female pairs: a large observational study in Japan. BMC Public Health. 2022; 22 (1): 1978. doi:10.1186/s12889-022-14348-6  
3.   Iwagami Masao, Goto Atsushi, Katagiri Ryoko, et al. Blood Lipids and the Risk of Colorectal Cancer: Mendelian Randomization Analyses in the Japanese Consortium of Genetic Epidemiology Studies. Cancer Prevention Research. 2022; : OF1-OF10. doi:10.1158/1940-6207.CAPR-22-0146  
4.   Akaishi Tetsuya, Suzuki Tomomi, Nemoto Harumi, et al. Five-Year Psychosocial Impact of Living in Postdisaster Prefabricated Temporary Housing. Disaster Medicine and Public Health Preparedness. 2022; 16 (5): 1966-1974. doi:10.1017/dmp.2021.214  
5.   Ohi Takashi, Murakami Takahisa, Komiyama Takamasa, et al. Oral health‐related quality of life is associated with the prevalence and development of depressive symptoms in older Japanese individuals: The Ohasama Study. Gerodontology. 2022; 39 (2): 204-212. doi:10.1111/ger.12557  
6.   Kogure Mana, Nakamura Tomohiro, Tsuchiya Naho, et al. Consideration of the reference value and number of measurements of the urinary sodium-to-potassium ratio based on the prevalence of untreated home hypertension: TMM Cohort Study. Hypertension Research. 2022; 45 (5): 866-875. doi:10.1038/s41440-021-00843-7  
7.   Munakata Masanori, Hattori Tomomi, Kubota-Nakayama Fumie, et al. Home Blood Pressure-based Guidance Did not Increase Anti-albuminuric Effects on Diagnostic Provision of Microalbuminuria in School Workers: A Miyagi Karoshi Prevention Study. Internal Medicine. 2022; : 0107-22. doi:10.2169/internalmedicine.0107-22  
8.   Munakata Masanori, Hattori Tomomi, Kubota-Nakayama Fumie, et al. Home Blood Pressure-based Guidance Did not Increase Anti-albuminuric Effects on Diagnostic Provision of Microalbuminuria in School Workers: A Miyagi Karoshi Prevention Study. Internal Medicine. 2022; : 0107-22. doi:10.2169/internalmedicine.0107-22  
9.   Nagata Shohei, Nakaya Tomoki, Hanibuchi Tomoya, et al. Development of a method for walking step observation based on large-scale GPS data. International Journal of Health Geographics. 2022; 21 (1): 10. doi:10.1186/s12942-022-00312-5  
10.   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  
11.   Takase Masato, Yamada Mitsuhiro, Nakamura Tomohiro, et al. The Association of Lung Function and Carotid Intima-Media Thickness in a Japanese Population: The Tohoku Medical Megabank Community-Based Cohort Study. Journal of Atherosclerosis and Thrombosis. 2022; : 63826. doi:10.5551/jat.63826  
12.   Takase Masato, Nakamura Tomohiro, Hirata Takumi, et al. Association between fat mass index, fat‐free mass index and hemoglobin A1c in a Japanese population: The Tohoku Medical Megabank Community‐based Cohort Study. Journal of Diabetes Investigation. 2022; 13 (5): 858-867. doi:10.1111/jdi.13729  
13.   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. 2022; 32 (5): JE20200384. doi:10.2188/jea.JE20200384  
14.   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  
15.   Goto Atsushi, Suzuki Shiori, Katagiri Ryoko, et al. Public Access to Summary Statistics for Genome-wide Association Studies of Body Mass Index, Weight, and Height Among Healthy Japanese Individuals: The Japanese Consortium of Genetic Epidemiology Studies. Journal of Epidemiology. 2022; 32 (2): JE20210459. doi:10.2188/jea.JE20210459  
16.   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  
17.   Muroya Tomoko, Satoh Michihiro, Murakami Takahisa, et al. Association between urinary sodium-to-potassium ratio and home blood pressure and ambulatory blood pressure: the Ohasama study. Journal of Hypertension. 2022; 40 (5): 862-869. doi:10.1097/HJH.0000000000003087  
18.   Tatsumi Yukako, Satoh Michihiro, Asayama Kei, et al. Association of home and office systolic and diastolic hypertension with glucose metabolism in a general population: the Ohasama study. Journal of Hypertension. 2022; 40 (7): 1336-1343. doi:10.1097/HJH.0000000000003145  
19.   Yamada Sho, Komiyama Takamasa, Ohi Takashi, et al. Regular dental visits, periodontitis, tooth loss, and atherosclerosis: The Ohasama study. Journal of Periodontal Research. 2022; 57 (3): 615-622. doi:10.1111/jre.12990  
20.   Mishra Aniket, Malik Rainer, Hachiya Tsuyoshi, et al. Stroke genetics informs drug discovery and risk prediction across ancestries. Nature. 2022; 611 (7934): 115-123. doi:10.1038/s41586-022-05165-3  
21.   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  
22.   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  
23.   Kunii Yasuto, Usukura Hitomi, Utsumi Yusuke, et al. Review of Mental Health Consequences of the Great East Japan Earthquake through Long-Term Epidemiological Studies: The Shichigahama Health Promotion Project. The Tohoku Journal of Experimental Medicine. 2022; 257 (2): 2022.J039. doi:10.1620/tjem.2022.J039  
24.   Nakaya Naoki, Xie Tian, Scheerder Bart, et al. Spousal similarities in cardiometabolic risk factors: A cross-sectional comparison between Dutch and Japanese data from two large biobank studies. Atherosclerosis. 2021; 334 : 85-92. doi:10.1016/j.atherosclerosis.2021.08.037  
25.   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  
26.   Nishimoto Yuka, Tsubono Yoshitaka, Kogure Mana, et al. The prevalence of current smokers and alcohol drinkers among cancer survivors and subjects with no history of cancer among participants in a community‐based cardiometabolic screening program in Miyagi prefecture, Japan: a comparison with nationally repres. Cancer Medicine. 2021; 10 (24): 9000-9011. doi:10.1002/cam4.4364  
27.   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  
28.   Takase Masato, Nakamura Tomohiro, Tsuchiya Naho, et al. Association between the combined fat mass and fat-free mass index and hypertension: The Tohoku Medical Megabank Community-based Cohort Study. Clinical and Experimental Hypertension. 2021; 43 (7): 610-621. doi:10.1080/10641963.2021.1925681  
29.   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  
30.   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  
31.   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  
32.   Kadowaki Sayaka, Kadowaki Takashi, Hozawa Atsushi, et al. Differences between home blood pressure and strictly measured office blood pressure and their determinants in Japanese men. Hypertension Research. 2021; 44 (1): 80-87. doi:10.1038/s41440-020-00533-w  
33.   Hirata Takumi, Kogure Mana, Tsuchiya Naho, et al. Impacts of the urinary sodium-to-potassium ratio, sleep efficiency, and conventional risk factors on home hypertension in a general Japanese population. Hypertension Research. 2021; 44 (7): 858-865. doi:10.1038/s41440-021-00628-y  
34.   Nakayama Shingo, Satoh Michihiro, Metoki Hirohito, et al. Lifetime risk of stroke stratified by chronic kidney disease and hypertension in the general Asian population: the Ohasama study. Hypertension Research. 2021; 44 (7): 866-873. doi:10.1038/s41440-021-00635-z  
35.   Kogure Mana, Nakaya Naoki, Hirata Takumi, et al. Sodium/potassium ratio change was associated with blood pressure change: possibility of population approach for sodium/potassium ratio reduction in health checkup. Hypertension Research. 2021; 44 (2): 225-231. doi:10.1038/s41440-020-00536-7  
36.   Hozawa Atsushi. Screening for Aortic Aneurysm: Further Evidence is Required to Clarify the Issue. Journal of Atherosclerosis and Thrombosis. 2021; 28 (4): 319-319. doi:10.5551/jat.ED143  
37.   Sakurai Masaru, Ishizaki Masao, Morikawa Yuko, et al. Frequency of consumption of balanced meals, bodyweight gain and incident risk of glucose intolerance in Japanese men and women: A cohort study. Journal of Diabetes Investigation. 2021; 12 (5): 763-770. doi:10.1111/jdi.13392  
38.   Kogure Mana, Tsuchiya Naho, Narita Akira, et al. Relationship Between Calcium Intake and Impaired Activities of Daily Living in a Japanese Population: NIPPON DATA90. Journal of Epidemiology. 2021; 31 (2): 119-124. doi:10.2188/jea.JE20190234  
39.   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  
40.   Hisamatsu Takashi, Ohkubo Takayoshi, Hozawa Atsushi, et al. Association of self-measured home, ambulatory, and strictly measured office blood pressure and their variability with intracranial arterial stenosis. Journal of Hypertension. 2021; 39 (10): 2030-2039. doi:10.1097/HJH.0000000000002900  
41.   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  
42.   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  
43.   Tashiro Ai, Kogure Mana, Nagata Shohei, et al. Coastal exposure and residents’ mental health in the affected areas by the 2011 Great East Japan Earthquake and Tsunami. Scientific Reports. 2021; 11 (1): 16751. doi:10.1038/s41598-021-96168-z  
44.   Suzuki Tomomi, Akaishi Tetsuya, Nemoto Harumi, et al. Impact of type of reconstructed residence on social participation and mental health of population displaced by disasters. Scientific Reports. 2021; 11 (1): 21465. doi:10.1038/s41598-021-00913-3  
45.   Nishikawa Tomofumi, Akiguchi Ichiro, Satoh Michihiro, et al. The association of disproportionately enlarged subarachnoid space hydrocephalus with cognitive deficit in a general population: the Ohasama study. Scientific Reports. 2021; 11 (1): 17061. doi:10.1038/s41598-021-95961-0  
46.   Akaishi Tetsuya, Misu Tatsuro, Fujihara Kazuo, et al. White blood cell count profiles in multiple sclerosis during attacks before the initiation of acute and chronic treatments. Scientific Reports. 2021; 11 (1): 22357. doi:10.1038/s41598-021-01942-8  
47.   髙瀬 雅仁, 五十嵐 有香, 中谷 直樹, et al. 東日本大震災に伴う災害による健康影響に関する文献レビュー. 日本循環器病予防学会誌. 2021; 56 (3): 244-257.  
48.   Nakayama Akiyoshi, Nakatochi Masahiro, Kawamura Yusuke, et al. Subtype-specific gout susceptibility loci and enrichment of selection pressure on ABCG2 and ALDH2 identified by subtype genome-wide meta-analyses of clinically defined gout patients. Annals of the Rheumatic Diseases. 2020; 79 (5): 657-665. doi:10.1136/annrheumdis-2019-216644  
49.   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  
50.   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  
51.   Miyazawa Itsuko, Miura Katsuyuki, Miyagawa Naoko, et al. Relationship between carbohydrate and dietary fibre intake and the risk of cardiovascular disease mortality in Japanese: 24-year follow-up of NIPPON DATA80. European Journal of Clinical Nutrition. 2020; 74 (1): 67-76. doi:10.1038/s41430-019-0424-y  
52.   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  
53.   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  
54.   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  
55.   Shima Azusa, Miyamatsu Naomi, Miura Katsuyuki, et al. Relationship of household salt intake level with long-term all-cause and cardiovascular disease mortality in Japan: NIPPON DATA80. Hypertension Research. 2020; 43 (2): 132-139. doi:10.1038/s41440-019-0349-9  
56.   Katayanagi Mitsuaki, Seto Moe, Nakaya Naoki, et al. Impact of the Great East Japan Earthquake on the Employment Status and Mental Health Conditions of Affected Coastal Communities. International Journal of Environmental Research and Public Health. 2020; 17 (21): 8130. doi:10.3390/ijerph17218130  
57.   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  
58.   Yang Yunqing, Hozawa Atsushi, Kogure Mana, et al. Dietary inflammatory index positively associated with high-sensitivity C-reactive protein level in Japanese from NIPPON data2010. Journal of Epidemiology. 2020; 30 (2): 98-107. doi:10.2188/jea.JE20180156  
59.   Liu Ziyi, Zaid Maryam, Hisamatsu Takashi, et al. Elevated Fasting Blood Glucose Levels Are Associated With Lower Cognitive Function, With a Threshold in Non-Diabetic Individuals: A Population-Based Study. Journal of Epidemiology. 2020; 30 (3): 121-127. doi:10.2188/jea.JE20180193  
60.   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  
61.   Takahashi Yuta, Yoshizoe Kazuki, Ueki Masao, et al. Machine learning to reveal hidden risk combinations for the trajectory of posttraumatic stress disorder symptoms. Scientific Reports. 2020; 10 (1): 21726. doi:10.1038/s41598-020-78966-z  
62.   Utsumi Yusuke, Nemoto Harumi, Nakaya Naoki, et al. The Impact of Health Consciousness on the Association Between Walking Durations and Mental Health Conditions After a Disaster: a Cross-Sectional Study. Sports Medicine - Open. 2020; 6 (1): 30. doi:10.1186/s40798-020-00259-6  
63.   Fujita Ayami, Hara Azusa, Kikuya Masahiro, et al. Blood Pressure Phenotypes Defined by Ambulatory Blood Pressure Monitoring and Carotid Artery Changes in Community-Dwelling Older Japanese Adults: The Ohasama Study. The Tohoku Journal of Experimental Medicine. 2020; 252 (3): 269-279. doi:10.1620/tjem.252.269  
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.   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  
66.   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  
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.   田原 康玄, 寳澤 篤, 小暮 真奈. 本態性高血圧のリスク因子としてのナトリウム/カリウム(N a / K)比. 日本循環器病予防学会誌. 2020; 55 (2): 114-123.  
69.   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  
70.   Kondo Keiko, Miura Katsuyuki, Tanaka-Mizuno Sachiko, et al. Cardiovascular Risk Assessment Chart by Dietary Factors in Japan ― NIPPON DATA80 ―. Circulation Journal. 2019; 83 (6): 1254-1260. doi:10.1253/circj.CJ-18-1002  
71.   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  
72.   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  
73.   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  
74.   Li Yan, Thijs Lutgarde, Zhang Zhen-Yu, et al. Opposing Age-Related Trends in Absolute and Relative Risk of Adverse Health Outcomes Associated With Out-of-Office Blood Pressure. Hypertension. 2019; 74 (6): 1333-1342. doi:10.1161/HYPERTENSIONAHA.119.12958  
75.   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  
76.   Hozawa Atsushi, Hirata Takumi, Yatsuya Hiroshi, et al. Association Between Body Mass Index and All-Cause Death in Japanese Population: Pooled Individual Participant Data Analysis of 13 Cohort Studies. Journal of Epidemiology. 2019; 29 (12): 457-463. doi:10.2188/jea.JE20180124  
77.   Sumi Masaki, Hisamatsu Takashi, Fujiyoshi Akira, et al. Association of Alcohol Consumption With Fat Deposition in a Community-Based Sample of Japanese Men: The Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA). Journal of Epidemiology. 2019; 29 (6): 205-212. doi:10.2188/jea.JE20170191  
78.   Satoh Atsushi, Arima Hisatomi, Hozawa Atsushi, et al. The association of home and accurately measured office blood pressure with coronary artery calcification among general Japanese men. Journal of Hypertension. 2019; 37 (8): 1676-1681. doi:10.1097/HJH.0000000000002080  
79.   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  
80.   Satoh Michihiro, Metoki Hirohito, Asayama Kei, et al. Age‐Related Trends in Home Blood Pressure, Home Pulse Rate, and Day‐to‐Day Blood Pressure and Pulse Rate Variability Based on Longitudinal Cohort Data: The Ohasama Study. Journal of the American Heart Association. 2019; 8 (15): e012121. doi:10.1161/JAHA.119.012121  
81.   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  
82.   Kikuchi Koichi, Saigusa Daisuke, Kanemitsu Yoshitomi, et al. Gut microbiome-derived phenyl sulfate contributes to albuminuria in diabetic kidney disease. Nature Communications. 2019; 10 (1): 1835. doi:10.1038/s41467-019-09735-4  
83.   Suzuki Ken, Akiyama Masato, Ishigaki Kazuyoshi, et al. Identification of 28 new susceptibility loci for type 2 diabetes in the Japanese population. Nature Genetics. 2019; 51 (3): 379-386.  
84.   Miura Emiri, Tsuchiya Naho, Igarashi Yu, et al. Respiratory resistance among adults in a population-based cohort study in Northern Japan. Respiratory Investigation. 2019; 57 (3): 274-281. doi:10.1016/j.resinv.2018.12.008  
85.   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  
86.   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  
87.   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  
88.   Narita Akira, Nakaya Naoki, Nakamura Tomohiro, et al. [Association between mild physical injury and psychological distress: Shichigahama Health Promotion Project]. [Nihon koshu eisei zasshi] Japanese journal of public health. 2018; 65 (4): 157-163. doi:10.11236/jph.65.4_157  
89.   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  
90.   Okami Yukiko, Ueshima Hirotsugu, Nakamura Yasuyuki, et al. Time-Related Changes in Relationships Between the Keys Score, Dietary Lipids, and Serum Total Cholesterol in Japan ― NIPPON DATA80/90/2010 ―. Circulation Journal. 2018; 83 (1): 147-155. doi:10.1253/circj.CJ-18-0628  
91.   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  
92.   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  
93.   Nakaya Naoki, Nemoto Harumi, Yi Carine, et al. Effect of tsunami drill experience on evacuation behavior after the onset of the Great East Japan Earthquake. International Journal of Disaster Risk Reduction. 2018; 28 : 206-213. doi:10.1016/j.ijdrr.2018.02.037  
94.   Fujiyoshi Naoko, Arima Hisatomi, Satoh Atsushi, et al. Associations between Socioeconomic Status and the Prevalence and Treatment of Hypercholesterolemia in a General Japanese Population: NIPPON DATA2010. Journal of Atherosclerosis and Thrombosis. 2018; 25 (7): 606-620. doi:10.5551/jat.42531  
95.   Goryoda Sayuri, Nishi Nobuo, Hozawa Atsushi, et al. Differences in Lifestyle Improvements With the Intention to Prevent Cardiovascular Diseases by Socioeconomic Status in a Representative Japanese Population: NIPPON DATA2010. Journal of Epidemiology. 2018; 28 (Supplement_III): S35-S39. doi:10.2188/jea.JE20170254  
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