101
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Associations of education and work status with alcohol use and cessation among pregnant women in Japan: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. BMC Public Health 2021; 21:1400. [PMID: 34266393 PMCID: PMC8281686 DOI: 10.1186/s12889-021-11461-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 07/07/2021] [Indexed: 11/29/2022] Open
Abstract
Background There is inconsistent evidence on the associations of education and work status with alcohol use during pregnancy. Our aim was to examine the associations of education and work status with alcohol use and alcohol cessation during pregnancy in Japan. Methods Data were analyzed from 11,839 pregnant women who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study from 2013 to 2017 in Japan. Women were dichotomized as current drinkers or non-drinkers in both early and middle pregnancy. Alcohol cessation was defined as alcohol use in early pregnancy, but not in middle pregnancy. Multivariable log-binomial regression analyses were conducted to examine associations of education and work status with alcohol use in early and middle pregnancy and alcohol cessation, adjusted for age and income. The prevalence ratios (PRs) and 95% confidence intervals (CIs) were calculated by work status and education. Results The prevalence of alcohol use in early and middle pregnancy was 20.9 and 6.4%, respectively. Higher education was associated with alcohol use in early pregnancy both among working and non-working women; the PRs of university education or higher compared with high school education or lower were 1.62 (95% CI, 1.34–1.96) and 1.29 (95% CI, 1.16–1.45), respectively. Higher education was associated with alcohol cessation during pregnancy among working women; the corresponding PR was 1.09 (95% CI, 1.01–1.17). Working was associated with alcohol use in early and middle pregnancy. Working was associated with a decreased probability of alcohol cessation among women with lower education but with an increased probability of alcohol cessation among women with higher education; the PRs of working compared with not working were 0.91 (95% CI, 0.82–1.00) and 1.10 (95% CI, 1.00–1.20), respectively. Conclusions Women with higher education were more likely to consume alcohol in early pregnancy and to cease alcohol use between early and middle pregnancy, especially working women. Working women were more likely to consume alcohol throughout pregnancy. Working women with lower education were less likely to cease alcohol use, whereas working women with higher education were more likely to cease alcohol use between early and middle pregnancy. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-021-11461-w.
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102
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Kawame H, Fukushima A, Fuse N, Nagami F, Suzuki Y, Sakurai-Yageta M, Yasuda J, Yamaguchi-Kabata Y, Kinoshita K, Ogishima S, Takai T, Kuriyama S, Hozawa A, Nakaya N, Nakamura T, Minegishi N, Sugawara J, Suzuki K, Tomita H, Uruno A, Kobayashi T, Aizawa Y, Tokutomi T, Yamamoto K, Ohneda K, Kure S, Aoki Y, Katagiri H, Ishigaki Y, Sawada S, Sasaki M, Yamamoto M. The return of individual genomic results to research participants: design and pilot study of Tohoku Medical Megabank Project. J Hum Genet 2021; 67:9-17. [PMID: 34234266 DOI: 10.1038/s10038-021-00952-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 05/08/2021] [Accepted: 06/14/2021] [Indexed: 12/21/2022]
Abstract
Certain large genome cohort studies attempt to return the individual genomic results to the participants; however, the implementation process and psychosocial impacts remain largely unknown. The Tohoku Medical Megabank Project has conducted large genome cohort studies of general residents. To implement the disclosure of individual genomic results, we extracted the potential challenges and obstacles. Major challenges include the determination of genes/disorders based on the current medical system in Japan, the storage of results, prevention of misunderstanding, and collaboration of medical professionals. To overcome these challenges, we plan to conduct multilayer pilot studies, which deal with different disorders/genes. We finally chose familial hypercholesterolemia (FH) as a target disease for the first pilot study. Of the 665 eligible candidates, 33.5% were interested in the pilot study and provided consent after an educational "genetics workshop" on the basic genetics and medical facts of FH. The genetics professionals disclosed the results to the participants. All positive participants were referred to medical care, and a serial questionnaire revealed no significant psychosocial distress after the disclosure. Return of genomic results to research participants was implemented using a well-prepared protocol. To further elucidate the impact of different disorders, we will perform multilayer pilot studies with different disorders, including actionable pharmacogenomics and hereditary tumor syndromes.
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Affiliation(s)
- Hiroshi Kawame
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan.
| | - Akimune Fukushima
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Nobuo Fuse
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Fuji Nagami
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Yoichi Suzuki
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | | | - Jun Yasuda
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | | | - Kengo Kinoshita
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Soichi Ogishima
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Takako Takai
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Atsushi Hozawa
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Naoki Nakaya
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Tomohiro Nakamura
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Naoko Minegishi
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Kichiya Suzuki
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Akira Uruno
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Tomoko Kobayashi
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Yayoi Aizawa
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Tomoharu Tokutomi
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Kayono Yamamoto
- Department of Clinical Genetics, Iwate Medical University, Iwate, Japan
| | - Kinuko Ohneda
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan.
| | - Shigeo Kure
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Yoko Aoki
- Department of Medical Genetics, Tohoku University Graduate School of Medicine, Miyagi, Japan
| | - Hideki Katagiri
- Department of Metabolism and Diabetes, Tohoku University Graduate School of Medicine, Miyagi, Japan
| | - Yasushi Ishigaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Shojiro Sawada
- Department of Metabolism and Diabetes, Tohoku University Graduate School of Medicine, Miyagi, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan.
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103
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Murakami K, Ishikuro M, Ueno F, Noda A, Onuma T, Matsuzaki F, Metoki H, Obara T, Kuriyama S. Associations of education and income with hazardous drinking among postpartum women in Japan: results from the TMM BirThree Cohort Study. Environ Health Prev Med 2021; 26:70. [PMID: 34217215 PMCID: PMC8254918 DOI: 10.1186/s12199-021-00991-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 06/20/2021] [Indexed: 11/30/2022] Open
Abstract
Background Although the postpartum period is suggested to provide an ideal opportunity for interventions to prevent hazardous drinking, evidence on the associations of education and income with hazardous drinking during this period is limited, including in Japan. Methods We analyzed data from 11,031 women who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study in Japan. Hazardous drinking was defined as ethanol intake of ≥20 g/day 1 year after delivery. We conducted multiple logistic regression analyses to examine whether educational attainment or equivalent household income was associated with hazardous drinking, adjusting for age, parity, drinking status during pregnancy, work status, postpartum depression, breastfeeding, and income/education. We also conducted stratified analyses by income and education groups. Results The prevalence of hazardous drinking 1 year after delivery was 3.6%. Lower education was associated with hazardous drinking; the odds ratio (95% confidence interval) of high school education or lower compared with university education or higher was 2.17 (1.59–2.98). Lower income was also associated with hazardous drinking, but this association disappeared after further adjustments for education; the odds ratios (95% confidence intervals) of the lowest compared with highest level of income were 1.42 (1.04–1.94) and 1.12 (0.81–1.54), respectively. A significant interaction was detected; lower education and lower income were associated with increased risks of hazardous drinking only in a lower income group and lower education group, respectively. Conclusions Postpartum women with lower education and lower income had higher risks of hazardous drinking in Japan. Supplementary Information The online version contains supplementary material available at 10.1186/s12199-021-00991-9.
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Affiliation(s)
- Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan. .,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Fumiko Matsuzaki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Division of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, 1-15-1 Fukumuro, Miyagino-ku, Sendai, Miyagi, 983-8536, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Department of Disaster Public Health, International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
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104
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Grain consumption before and during pregnancy and birth weight in Japan: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Eur J Clin Nutr 2021; 76:261-269. [PMID: 34131299 DOI: 10.1038/s41430-021-00939-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Revised: 04/13/2021] [Accepted: 05/10/2021] [Indexed: 11/08/2022]
Abstract
BACKGROUND/OBJECTIVES Studies have reported the effects of grain consumption on human health, but the association between maternal grain consumption before and during pregnancy and birth weight remains unclear. We evaluated the association between maternal grain consumption before and during pregnancy and birth weight/low birth weight (LBW). SUBJECTS/METHODS Grain consumption was calculated using two semi-quantitative food frequency questionnaires (FFQs). The two FFQs evaluated consumption from pre- to early pregnancy and then from early to mid-pregnancy, respectively. Information concerning birth weight was obtained from birth records, and multivariable analyses for birth weight and LBW risk were conducted after adjusting for potential confounders. RESULTS In total, 17,610 pregnant women (age, 31.8 ± 4.9 years; smoked during pregnancy, 16.1%; gestation period, 38.5 ± 2.5 weeks; first childbirth, 45.5%) and their singleton and term new-borns (birth weight, 3061.8 ± 354.1 g; LBW, 5.4%) were included in the analysis. Women in the highest quartile of grain consumption from pre- to early pregnancy had heavier new-borns (β = 22.3; 95% confidence interval (CI): 5.8-38.9) but did not have a significantly lower LBW risk (odds ratio [OR]: 0.87; 95% CI: 0.71-1.07) than women in the lowest quartile. Women in the highest quartile of grain consumption from early to mid-pregnancy also had heavier new-borns (β = 24.1; 95% CI: 7.1-41.1) but did not have a significantly lower LBW risk (OR: 0.85; 95% CI: 0.69-1.05) than women in the lowest quartile. CONCLUSIONS Grain consumption before and during pregnancy was positively associated with birth weight.
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105
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Wojcicki JM, Tsuchiya KJ, Murakami K, Ishikuro M, Obara T, Morisaki N. Limited consumption of 100% fruit juices and sugar sweetened beverages in Japanese toddler and preschool children. Prev Med Rep 2021; 23:101409. [PMID: 34189018 PMCID: PMC8220240 DOI: 10.1016/j.pmedr.2021.101409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 05/11/2021] [Accepted: 05/25/2021] [Indexed: 11/21/2022] Open
Abstract
Low total 100% fruit juice and SSB intake for Japanese children. Comparable rates of beverage introduction for Japanese and North American children. Higher proportional dairy/milk drink consumption for Japanese than North American children. Low SSB consumption may contribute to lower obesity rate in Japanese children.
Japanese toddler and preschool children, ages 1.5–5 years, have lower rates of obesity, ≥95 th percentile body mass index, compared with North American ones. We examined parental reported beverage consumption patterns in 3 Japanese based mother-child cohorts from three different regions of Japan compared with data from cross-sectional and longitudinal studies from North America. Specifically, we used data from the Hamamatsu Birth Cohort for Mothers and Children (HBC Study) in Hamamatsu (Shizuoka Prefecture), the Seiiku Boshi Birth Cohort from Setagaya, Tokyo and the TMM BirThree Cohort Study from Miyagi. We additionally compared cross-sectional data from preschoolers from 24 prefectures in Japan as previously reported from a national study. While Japanese children had lower but comparable rates to North American children for introduction of sugar-sweetened beverages and 100% fruit juices, Japanese children consumed these beverages daily at a much lower level than North American children. Additionally, North American children may get more added sugars from soda and fruit juices as a relative percentage of total added sugar. By contrast, Japanese children consume more sweetened dairy drinks as a relative percentage of total added sugar. Sweetened dairy drinks may have the added benefits of including fats, calcium and probiotics which may be associated with lower risk for obesity compared with consumption of other types of sugar sweetened beverages.
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Affiliation(s)
- Janet M Wojcicki
- Department of Pediatrics, University of California, San Francisco (UCSF), USA
| | - Kenji J Tsuchiya
- Hamamatsu University School of Medicine, Research Center for Child Mental Health Development, Japan
| | - Keiko Murakami
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Mami Ishikuro
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Taku Obara
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Naho Morisaki
- Department of Social Medicine, National Center for Child Health, Setagaya, Tokyo, Japan
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106
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Hypertension in pregnancy as a possible factor for child autistic behavior at two years old. Pregnancy Hypertens 2021; 25:88-90. [PMID: 34091425 DOI: 10.1016/j.preghy.2021.05.020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Revised: 01/23/2021] [Accepted: 05/24/2021] [Indexed: 11/22/2022]
Abstract
We investigated the association between hypertensive disorders of pregnancy (HDP) subtypes and child autistic behavior to accumulate the evidence. We found the association between superimposed preeclampsia and autistic behavior in children aged two years old by investigating 6794 mother-child pairs in the birth cohort study. Since early intervention for autism-spectrum disorder might be effective, it suggests that early prediction is necessary for children born of mothers who developed particularly superimposed preeclampsia to support their development. Not only for introducing early prediction, but also research for establishing effective intervention is necessary.
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107
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Noda A, Obara T, Satoh M, Yagi N, Mano N, Kaneko K. Active Extraction of Experience of Adverse Drug Reactions in Children. J Pediatr Pharmacol Ther 2021; 26:352-360. [PMID: 34035679 DOI: 10.5863/1551-6776-26.4.352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Accepted: 10/31/2020] [Indexed: 11/11/2022]
Abstract
OBJECTIVE Safety information regarding the use of medication, over-the-counter drugs, and supplements for Japanese children is scarce. The aim of this study was to clarify adverse drug reaction (ADR) experiences in children and consider the method to collect ADRs efficiently. METHODS We conducted a questionnaire survey regarding the ADR experiences of 20,412 children who were attending a preschool or kindergarten in the cities of Warabi and Toda, Saitama Prefecture, in May 2013. RESULTS Responses were received from the guardians of 15,076 children (49.5% girls; 8.2 ± 3.5 yr). A total of 196 guardians (1.3%) responded that their children had experienced ADRs. Among them, a total of 243 suspected drugs and 284 ADRs were reported. Of the 243 suspected drugs, 2.5% were associated with a vaccine. The most frequently reported medication, reaction, and "medication-reaction pair" were antibacterials for systemic use, rash, and "antibacterials for systemic use and rash," respectively. CONCLUSIONS In this study, we clarified that there were many potential ADRs among children, but all "medication-reaction pairs" reported were consistent with adverse events reported in the clinical trials available in the prescribing information of each medication. This study provides data respective to the frequency of these adverse events in the general pediatric population. Additional education is needed to enlighten guardians of the importance to report ADRs through the Direct Patient Reporting System.
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108
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Sakurai-Yageta M, Kumada K, Gocho C, Makino S, Uruno A, Tadaka S, Motoike IN, Kimura M, Ito S, Otsuki A, Narita A, Kudo H, Aoki Y, Danjoh I, Yasuda J, Kawame H, Minegishi N, Koshiba S, Fuse N, Tamiya G, Yamamoto M, Kinoshita K. Japonica Array NEO with increased genome-wide coverage and abundant disease risk SNPs. J Biochem 2021; 170:399-410. [PMID: 34131746 PMCID: PMC8510329 DOI: 10.1093/jb/mvab060] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 04/27/2021] [Indexed: 01/12/2023] Open
Abstract
Ethnic-specific SNP arrays are becoming more important to increase the power of genome-wide association studies in diverse population. In the Tohoku Medical Megabank Project, we have been developing a series of Japonica Arrays (JPA) for genotyping participants based on reference panels constructed from whole-genome sequence data of the Japanese population. Here, we designed a novel version of the SNP array for the Japanese population, called Japonica Array NEO (JPA NEO), comprising a total of 666,883 markers. Among them, 654,246 tag SNPs of autosomes and X chromosome were selected from an expanded reference panel of 3,552 Japanese, 3.5KJPNv2, using pairwise r2 of linkage disequilibrium measures. Additionally, 28,298 markers were included for the evaluation of previously identified disease risk markers from the literature and databases, and those present in the Japanese population were extracted using the reference panel. Through genotyping 286 Japanese samples, we found that the imputation quality r2 and INFO score in the minor allele frequency bin >2.5–5% were >0.9 and >0.8, respectively, and >12 million markers were imputed with an INFO score >0.8. From these results, JPA NEO is a promising tool for genotyping the Japanese population with genome-wide coverage, contributing to the development of genetic risk scores.
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Affiliation(s)
- Mika Sakurai-Yageta
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Kazuki Kumada
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Chinatsu Gocho
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Satoshi Makino
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Akira Uruno
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Shu Tadaka
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Ikuko N Motoike
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan.,Graduate School of Information Sciences, Tohoku University, 6-3-09 Aramaki-Aza-Aoba, Aoba-ku, Sendai, Miyagi 980-8579, Japan
| | - Masae Kimura
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Shin Ito
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Akihito Otsuki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Akira Narita
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Hisaaki Kudo
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Yuichi Aoki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan.,Graduate School of Information Sciences, Tohoku University, 6-3-09 Aramaki-Aza-Aoba, Aoba-ku, Sendai, Miyagi 980-8579, Japan
| | - Inaho Danjoh
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Jun Yasuda
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Hiroshi Kawame
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Naoko Minegishi
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Seizo Koshiba
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Nobuo Fuse
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Gen Tamiya
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Kengo Kinoshita
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan.,Graduate School of Information Sciences, Tohoku University, 6-3-09 Aramaki-Aza-Aoba, Aoba-ku, Sendai, Miyagi 980-8579, Japan
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109
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Yashima K, Obara T, Matsuzaki F, Suzuki C, Saeki M, Koyama M, Hosono M, Noda A, Kikuchi S, Hoshiai T, Sato S, Saito M, Hanita T, Mano N. Evaluation of the Safety of Taking Lamotrigine During Lactation Period. Breastfeed Med 2021; 16:432-438. [PMID: 33819427 DOI: 10.1089/bfm.2020.0210] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Introduction: Evaluation of the safety of taking lamotrigine (LTG) during lactation in breastfed infants varies according to the information sources. As it is possible that prescribers may avoid prescribing LTG despite of it being one of the essential drugs, more information needs to be accumulated to facilitate its use. Materials and Methods: We retrospectively compared the safety of LTG during the lactation period in 20 pairs of mothers and infants with 20 pairs as the control group. Results: The mean dose of LTG in 20 mothers was 161.1 mg/day (range: 50-400 mg/day). None of the infants showed a neonatal withdrawal syndrome score of 2 or more up to 1 month after delivery. Although drowsiness (n = 3), skin rash (n = 11), jaundice (n = 8), heart murmur (n = 1), poor suckling (n = 1), and retractive breathing (n = 1) were observed in infants, none of these adverse events were serious and the infants recovered. Nineteen of 20 pairs could continue lactation until 1 month after delivery. One pair discontinued breastfeeding because of pain in the mother's nipples. All pairs could continue maternal medication. We then compared the results with those of the control group. There were no significant differences in the presence of adverse events between the LTG and control groups. Conclusion: These data suggest that taking low to moderate doses of LTG during the lactation period might be relatively safe, at least for a period of 1 month after delivery.
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Affiliation(s)
- Kazushi Yashima
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Taku Obara
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan.,Department of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan.,Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Fumiko Matsuzaki
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Chihiro Suzuki
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Mika Saeki
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Mina Koyama
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Moeko Hosono
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Aoi Noda
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan.,Department of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan.,Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Saya Kikuchi
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Tetsuro Hoshiai
- Department of Obstetrics and Gynecology and Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Shinichi Sato
- Department of Pediatrics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Masatoshi Saito
- Department of Obstetrics and Gynecology and Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Takushi Hanita
- Department of Pediatrics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Nariyasu Mano
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
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110
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Maternal personality and postnatal bonding disorder in Japan: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. J Affect Disord 2021; 282:580-586. [PMID: 33445079 DOI: 10.1016/j.jad.2020.12.187] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 12/21/2020] [Accepted: 12/26/2020] [Indexed: 11/23/2022]
Abstract
BACKGROUND Despite much knowledge of the effects of maternal psychopathology on bonding, the effects of personality have received less attention. We aimed to examine the association between maternal personality and postnatal bonding disorder. METHODS We analyzed data from 15,654 women who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Personality was assessed in middle pregnancy using the short-form Eysenck Personality Questionnaire-Revised, with the score for each subscale categorized into four levels. Bonding disorder was defined as the Mother-to-Infant Bonding Scale score of ≥5 one month after delivery. Multiple logistic regression analyses were conducted to examine the association between personality and bonding disorder after adjusting for age, education, parity, feelings towards pregnancy, social isolation, as well as the Edinburgh Postpartum Depression Scale (EPDS) score. RESULTS Higher extraversion was associated with a decreased risk of bonding disorder (p for trend <0.001). Higher neuroticism was associated with an increased risk of bonding disorder (p for trend <0.001), and this association disappeared after further adjustment for EPDS score (p for trend 0.39). No association between psychoticism and bonding disorder was observed (p for trend 0.83), and the association appeared after further adjustment for EPDS score (p for trend 0.0017). Higher lie was associated with a decreased risk of bonding disorder (p for trend <0.001). LIMITATIONS Maternal personality and bonding were self-reported. CONCLUSIONS Lower extraversion, higher psychoticism, and lower lie were associated with bonding disorder. The association between higher neuroticism and bonding disorder was explained by postnatal depressive symptoms.
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111
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Tanoue K, Watanabe Z, Nishigori H, Iwama N, Satoh M, Murakami T, Tanaka K, Sasaki S, Sakurai K, Ishikuro M, Obara T, Saito M, Sugawara J, Tatsuta N, Kuriyama S, Arima T, Nakai K, Yaegashi N, Metoki H. The prevalence of psychological distress during pregnancy in Miyagi Prefecture for 3 years after the Great Eas t Japan Earthquake. Environ Health Prev Med 2021; 26:27. [PMID: 33637036 PMCID: PMC7913250 DOI: 10.1186/s12199-021-00944-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 02/03/2021] [Indexed: 11/10/2022] Open
Abstract
Background To examine changes in psychological distress prevalence among pregnant women in Miyagi Prefecture, which was directly affected by the Great East Japan Earthquake and tsunami, and compare it with the other, less damaged areas of Japan. Methods This study was conducted in conjunction with the Japan Environment and Children`s Study. We examined 76,152 pregnant women including 8270 in Miyagi Regional Center and 67,882 in 13 other regional centers from the all-birth fixed data of the Japan Environment and Children’s Study. We then compared the prevalence and risk of distress in women in Miyagi Regional Center and women in the 13 regional centers for 3 years after the disaster. Results Women in the Miyagi Regional Center suffered more psychological distress than those in the 13 regional centers: OR 1.38 (95% CI, 1.03–1.87) to 1.92 (95% CI, 1.42–2.60). Additionally, women in the inland area had a consistently higher prevalence of psychological distress compared to those from the 13 regional centers: OR 1.67 (95% CI, 1.18–2.38) to 2.19 (95% CI, 1.60–2.99). Conclusions The lack of pre-disaster data in the Japan Environment and Children’s Study made it impossible to compare the incidence of psychological distress before and after the March 2011 Great East Japan Earthquake. However, 3 years after the Great East Japan Earthquake, the prevalence of pregnant women with psychological distress did not improve in Miyagi Regional Center. Further, the prevalence of mental illness in inland areas was consistently higher than that in the 13 regional centers after the disaster.
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Affiliation(s)
- Kaou Tanoue
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Zen Watanabe
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hidekazu Nishigori
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan.,Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Fukushima Medical Center for Children and Women, Fukushima Medical University, 1 Hikariga-oka, Fukushima, 960-1295, Japan
| | - Noriyuki Iwama
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Michihiro Satoh
- Division of Public Health, Hygiene and Epidemiology, Tohoku Medical Pharmaceutical University, 1-15-1 Fukumuro, Sendai, Miyagi, 983-8536, Japan
| | - Takahisa Murakami
- Division of Public Health, Hygiene and Epidemiology, Tohoku Medical Pharmaceutical University, 1-15-1 Fukumuro, Sendai, Miyagi, 983-8536, Japan
| | - Kousuke Tanaka
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan.,Department of Obstetrics and Gynecology, Hachinohe City Hospital, 3-1-1, Tamukai, Hachinohe, Aomori, 031-8555, Japan
| | - Satomi Sasaki
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Kasumi Sakurai
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Mami Ishikuro
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Taku Obara
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Masatoshi Saito
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Junichi Sugawara
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan.,Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Nozomi Tatsuta
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Shinichi Kuriyama
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Takahiro Arima
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Kunihiko Nakai
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Nobuo Yaegashi
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan.,Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Hirohito Metoki
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan. .,Division of Public Health, Hygiene and Epidemiology, Tohoku Medical Pharmaceutical University, 1-15-1 Fukumuro, Sendai, Miyagi, 983-8536, Japan. .,Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.
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112
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Saito S, Aoki Y, Tamahara T, Goto M, Matsui H, Kawashima J, Danjoh I, Hozawa A, Kuriyama S, Suzuki Y, Fuse N, Kure S, Yamashita R, Tanabe O, Minegishi N, Kinoshita K, Tsuboi A, Shimizu R, Yamamoto M. Oral Microbiome Analysis in Prospective Genome Cohort Studies of the Tohoku Medical Megabank Project. Front Cell Infect Microbiol 2021; 10:604596. [PMID: 33585276 PMCID: PMC7878372 DOI: 10.3389/fcimb.2020.604596] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 12/07/2020] [Indexed: 12/26/2022] Open
Abstract
A baseline oral microbiome study of the Tohoku Medical Megabank Organization (TMM) was planned to characterize the profile of the oral microbiome in the Japanese population. The study also aimed to clarify risk factors for multifactorial diseases by integrated analysis of the oral microbiome and host genome/omics information. From 2013 to 2016, we collected three types of oral biospecimens, saliva, supragingival plaque, and tongue swab, from a total of 25,101 participants who had a dental examination in TMM. In this study, we used two independent cohorts; the Community-Based Cohort and Birth and Three-Generation Cohort as discovery and validation cohorts, respectively, and we selected participants examined by a single dentist. We found through the 16S ribosomal RNA gene sequencing analysis of 834 participants of the Community-Based Cohort Study that there are differences in the microbial composition and community structure between saliva and plaque. The species diversities in both saliva and plaque were increased in correlation with the severity of periodontal disease. These results were nicely reproduced in the analysis of 455 participants of the Birth and Three-Generation Cohort Study. In addition, strong positive and negative associations of microbial taxa in both plaque and saliva with periodontitis-associated biofilm formation were detected by co-occurrence network analysis. The classes Actinobacteria and Bacilli, including oral health-associated bacterial species, showed a positive correlation in saliva. These results revealed differences in microbial composition and community structure between saliva and plaque and a correlation between microbial species and the severity of periodontal disease. We expect that the large database of the oral microbiome in the TMM biobank will help in the discovery of novel targets for the treatment and prevention of oral diseases, as well as for the discovery of therapeutic and/or preventive targets of systemic diseases.
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Affiliation(s)
- Sakae Saito
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Yuichi Aoki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | - Toru Tamahara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Dentistry, Tohoku University, Sendai, Japan
| | - Maki Goto
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Hiroyuki Matsui
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Dentistry, Tohoku University, Sendai, Japan
| | - Junko Kawashima
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Inaho Danjoh
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Atsushi Hozawa
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Yoichi Suzuki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Department of Clinical Genetics, Ageo Central General Hospital, Ageo, Japan
| | - Nobuo Fuse
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Shigeo Kure
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Riu Yamashita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Exploratory Oncology Research & Clinical Trial Center, National Cancer Center, Kashiwa, Japan
| | - Osamu Tanabe
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Biosample Research Center, Radiation Effects Research Foundation, Hiroshima, Japan
| | - Naoko Minegishi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Kengo Kinoshita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Information Sciences, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Akito Tsuboi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Dentistry, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Ritsuko Shimizu
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
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113
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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:e0236907. [PMID: 33428613 PMCID: PMC7799847 DOI: 10.1371/journal.pone.0236907] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 12/04/2020] [Indexed: 12/17/2022] Open
Abstract
Identification of the population frequencies of definitely pathogenic germline variants in two major hereditary breast and ovarian cancer syndrome (HBOC) genes, BRCA1/2, is essential to estimate the number of HBOC patients. In addition, the identification of moderately penetrant HBOC gene variants that contribute to increasing the risk of breast and ovarian cancers in a population is critical to establish personalized health care. A prospective cohort subjected to genome analysis can provide both sets of information. Computational scoring and prospective cohort studies may help to identify such likely pathogenic variants in the general population. We annotated the variants in the BRCA1 and BRCA2 genes from a dataset of 3,552 whole-genome sequences obtained from members of a prospective cohorts with genome data in the Tohoku Medical Megabank Project (TMM) with InterVar software. Computational impact scores (CADD_phred and Eigen_raw) and minor allele frequencies (MAFs) of pathogenic (P) and likely pathogenic (LP) variants in ClinVar were used for filtration criteria. Familial predispositions to cancers among the 35,000 TMM genome cohort participants were analyzed to verify the identified pathogenicity. Seven potentially pathogenic variants were newly identified. The sisters of carriers of these moderately deleterious variants and definite P and LP variants among members of the TMM prospective cohort showed a statistically significant preponderance for cancer onset, from the self-reported cancer history. Filtering by computational scoring and MAF is useful to identify potentially pathogenic variants in BRCA genes in the Japanese population. These results should help to follow up the carriers of variants of uncertain significance in the HBOC genes in the longitudinal prospective cohort study.
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114
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Tadaka S, Hishinuma E, Komaki S, Motoike IN, Kawashima J, Saigusa D, Inoue J, Takayama J, Okamura Y, Aoki Y, Shirota M, Otsuki A, Katsuoka F, Shimizu A, Tamiya G, Koshiba S, Sasaki M, Yamamoto M, Kinoshita K. jMorp updates in 2020: large enhancement of multi-omics data resources on the general Japanese population. Nucleic Acids Res 2021; 49:D536-D544. [PMID: 33179747 PMCID: PMC7779038 DOI: 10.1093/nar/gkaa1034] [Citation(s) in RCA: 114] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 10/15/2020] [Accepted: 10/19/2020] [Indexed: 12/30/2022] Open
Abstract
In the Tohoku Medical Megabank project, genome and omics analyses of participants in two cohort studies were performed. A part of the data is available at the Japanese Multi Omics Reference Panel (jMorp; https://jmorp.megabank.tohoku.ac.jp) as a web-based database, as reported in our previous manuscript published in Nucleic Acid Research in 2018. At that time, jMorp mainly consisted of metabolome data; however, now genome, methylome, and transcriptome data have been integrated in addition to the enhancement of the number of samples for the metabolome data. For genomic data, jMorp provides a Japanese reference sequence obtained using de novo assembly of sequences from three Japanese individuals and allele frequencies obtained using whole-genome sequencing of 8,380 Japanese individuals. In addition, the omics data include methylome and transcriptome data from ∼300 samples and distribution of concentrations of more than 755 metabolites obtained using high-throughput nuclear magnetic resonance and high-sensitivity mass spectrometry. In summary, jMorp now provides four different kinds of omics data (genome, methylome, transcriptome, and metabolome), with a user-friendly web interface. This will be a useful scientific data resource on the general population for the discovery of disease biomarkers and personalized disease prevention and early diagnosis.
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Affiliation(s)
- Shu Tadaka
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Eiji Hishinuma
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
- Tohoku University Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Shohei Komaki
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan
| | - Ikuko N Motoike
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
- Graduate School of Information Sciences, Tohoku University, 6-3-09 Aramaki aza Aoba, Aoba-ku, Sendai, Miyagi 980-8579, Japan
| | - Junko Kawashima
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Daisuke Saigusa
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Jin Inoue
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Jun Takayama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
- Tohoku University Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Yasunobu Okamura
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
- Tohoku University Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Yuichi Aoki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
- Graduate School of Information Sciences, Tohoku University, 6-3-09 Aramaki aza Aoba, Aoba-ku, Sendai, Miyagi 980-8579, Japan
| | - Matsuyuki Shirota
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
- Tohoku University Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
- Graduate School of Information Sciences, Tohoku University, 6-3-09 Aramaki aza Aoba, Aoba-ku, Sendai, Miyagi 980-8579, Japan
| | - Akihito Otsuki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Fumiki Katsuoka
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Atsushi Shimizu
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan
- Institute for Biomedical Sciences, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan
| | - Gen Tamiya
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Seizo Koshiba
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
- Tohoku University Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan
- Institute for Biomedical Sciences, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
- Tohoku University Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Kengo Kinoshita
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
- Tohoku University Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
- Graduate School of Information Sciences, Tohoku University, 6-3-09 Aramaki aza Aoba, Aoba-ku, Sendai, Miyagi 980-8579, Japan
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115
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Tanjo T, Kawai Y, Tokunaga K, Ogasawara O, Nagasaki M. Practical guide for managing large-scale human genome data in research. J Hum Genet 2021; 66:39-52. [PMID: 33097812 PMCID: PMC7728600 DOI: 10.1038/s10038-020-00862-1] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 10/08/2020] [Accepted: 10/11/2020] [Indexed: 12/24/2022]
Abstract
Studies in human genetics deal with a plethora of human genome sequencing data that are generated from specimens as well as available on public domains. With the development of various bioinformatics applications, maintaining the productivity of research, managing human genome data, and analyzing downstream data is essential. This review aims to guide struggling researchers to process and analyze these large-scale genomic data to extract relevant information for improved downstream analyses. Here, we discuss worldwide human genome projects that could be integrated into any data for improved analysis. Obtaining human whole-genome sequencing data from both data stores and processes is costly; therefore, we focus on the development of data format and software that manipulate whole-genome sequencing. Once the sequencing is complete and its format and data processing tools are selected, a computational platform is required. For the platform, we describe a multi-cloud strategy that balances between cost, performance, and customizability. A good quality published research relies on data reproducibility to ensure quality results, reusability for applications to other datasets, as well as scalability for the future increase of datasets. To solve these, we describe several key technologies developed in computer science, including workflow engine. We also discuss the ethical guidelines inevitable for human genomic data analysis that differ from model organisms. Finally, the future ideal perspective of data processing and analysis is summarized.
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Affiliation(s)
- Tomoya Tanjo
- National Institute of Informatics, Tokyo, 101-8430, Japan
| | - Yosuke Kawai
- Genome Medical Science Project, National Center for Global Health and Medicine, Tokyo, 162-8655, Japan
| | - Katsushi Tokunaga
- Genome Medical Science Project, National Center for Global Health and Medicine, Tokyo, 162-8655, Japan
| | - Osamu Ogasawara
- The Bioinformation and DDBJ Center, National Institute of Genetics, Mishima, Shizuoka, 411-8540, Japan.
| | - Masao Nagasaki
- Center for the Promotion of Interdisciplinary Education and Research, Kyoto University, Sakyo-ku, Kyoto, 606-8507, Japan.
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto, 606-8507, Japan.
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116
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Usuzaki T, Ishikuro M, Obara T. Commentary on "Determinants of pre-eclampsia among pregnant women attending perinatal care in hospitals of the Omo district, Southern Ethiopia". J Clin Hypertens (Greenwich) 2020; 23:163-165. [PMID: 33222425 PMCID: PMC8029745 DOI: 10.1111/jch.14110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 11/04/2020] [Accepted: 11/05/2020] [Indexed: 11/29/2022]
Affiliation(s)
| | - Mami Ishikuro
- Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan.,Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Taku Obara
- Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan.,Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
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117
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Analysis of HLA-G long-read genomic sequences in mother-offspring pairs with preeclampsia. Sci Rep 2020; 10:20027. [PMID: 33208885 PMCID: PMC7675977 DOI: 10.1038/s41598-020-77081-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 11/06/2020] [Indexed: 11/11/2022] Open
Abstract
Preeclampsia is a pregnancy-induced disorder that is characterized by hypertension and is a leading cause of perinatal and maternal–fetal morbidity and mortality. HLA-G is thought to play important roles in maternal–fetal immune tolerance, and the associations between HLA-G gene polymorphisms and the onset of pregnancy-related diseases have been explored extensively. Because contiguous genomic sequencing is difficult, the association between the HLA-G genotype and preeclampsia onset is controversial. In this study, genomic sequences of the HLA-G region (5.2 kb) from 31 pairs of mother–offspring genomic DNA samples (18 pairs from normal pregnancies/births and 13 from preeclampsia births) were obtained by single-molecule real-time sequencing using the PacBio RS II platform. The HLA-G alleles identified in our cohort matched seven known HLA-G alleles, but we also identified two new HLA-G alleles at the fourth-field resolution and compared them with nucleotide sequences from a public database that consisted of coding sequences that cover the 3.1-kb HLA-G gene span. Intriguingly, a potential association between preeclampsia onset and the poly T stretch within the downstream region of the HLA-G*01:01:01:01 allele was found. Our study suggests that long-read sequencing of HLA-G will provide clues for characterizing HLA-G variants that are involved in the pathophysiology of preeclampsia.
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118
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Usuzaki T, Ishikuro M, Metoki H, Murakami K, Noda A, Ueno F, Kikuya M, Obara T, Kuriyama S. Comparison among research, home, and office blood pressure measurements for pregnant women: The TMM BirThree Cohort Study. J Clin Hypertens (Greenwich) 2020; 22:2004-2013. [PMID: 32966692 DOI: 10.1111/jch.14050] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 08/02/2020] [Accepted: 08/21/2020] [Indexed: 11/28/2022]
Abstract
Blood pressure (BP) measurements of pregnant women have been collected in offices and at home for previous research. However, it remains uncertain whether there is difference between research BP, defined as BP measured for the purpose of epidemiological research and BP measured at home or in an office. Therefore, the present study aimed to compare research BP with home and unstandardized office BP. Research, home, and office BP were measured among pregnant women who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study (TMM BirThree Cohort Study). Research BP was measured twice at our research center while the participant was seated and after resting for 1-2 minutes. Research, home, and office BP were compared and agreement among the values was assessed. Differences among research, home, and office BP values and possible factors affecting differences were analyzed. Among 656 pregnant women, the mean (± standard deviations) research systolic (S), diastolic (D) BP, home SBP, home DBP office SBP, and office DBP were 103.8 ± 8.5, 61.8 ± 7.3, 104.4 ± 9.2, 61.2 ± 6.8, 110.5 ± 10.8, and 63.8 ± 8.7mmHg, respectively. Research SBP value was lower than home value (P = .0072; difference between mean research and home BP: -0.61 ± 7.8 mmHg). Research SBP and DBP values were lower than office values (P < .0001 for both SBP and DBP; means ± standard deviations of differences between research and office BP: 6.7 ± 10.1 and 2.0 ± 8.5 mmHg for SBP and DBP, respectively). In conclusion, when research BP is measured under conditions controlled, research BP can give close values to home BP for pregnant women.
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Affiliation(s)
| | - Mami Ishikuro
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Hirohito Metoki
- Division of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Keiko Murakami
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Aoi Noda
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan.,Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Fumihiko Ueno
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Masahiro Kikuya
- Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
| | - Taku Obara
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan.,Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Shinichi Kuriyama
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan.,Division of Disaster Public Health, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
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119
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Murakami K, Ishikuro M, Ueno F, Noda A, Onuma T, Obara T, Kuriyama S. Social predictors of continued and indoor smoking among partners of non-smoking pregnant women: the TMM BirThree Cohort Study. J Epidemiol 2020; 31:635-641. [PMID: 32963213 PMCID: PMC8593571 DOI: 10.2188/jea.je20200313] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Secondhand smoke (SHS) from partners is a major source of exposure for non-smoking women. However, epidemiological studies have rarely examined social factors associated with continued and indoor smoking among pregnant women's partners. METHODS We analyzed data on 6091 partners of non-smoking pregnant women in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Partners' age, education, income, workplace SHS exposure (almost never or sometimes, almost every day), and pregnant women's smoking history (never, quit before pregnancy awareness, quit after pregnancy awareness) were used as social factors. Multivariate logistic regression analyses were conducted to examine the associations of social factors with partners' continued smoking and indoor smoking. RESULTS Among 2432 smoking partners, 2237 continued to smoke after pregnancy awareness. Workplace SHS exposure was associated with increased risk of partners' continued smoking: the odds ratio of workplace SHS exposure almost every day compared with almost never or sometimes was 2.08 (95% confidence interval, 1.52-2.83). Women's quitting smoking after-but not before-pregnancy awareness was associated with decreased risk of partners' continued smoking: the odds ratio of women's quitting after pregnancy awareness compared with never smoking was 0.57 (95% confidence interval, 0.40-0.80). About one-third of partners who continued to smoke did so indoors. Older age, lower education, workplace SHS exposure, and women's quitting smoking after pregnancy awareness were associated with increased risk of partners' indoor smoking. CONCLUSIONS Workplace SHS exposure and pregnant women's smoking history were associated with continued smoking and indoor smoking among partners of non-smoking pregnant women.
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Affiliation(s)
- Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Department of Pharmaceutical Sciences, Tohoku University Hospital
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Department of Pharmaceutical Sciences, Tohoku University Hospital
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Department of Disaster Public Health, International Research Institute of Disaster Science, Tohoku University
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121
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Yonezawa Y, Obara T, Yamashita T, Sugawara J, Ishikuro M, Murakami K, Noda A, Ueno F, Suzuki S, Suganuma H, Kuriyama S. 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. Nutr J 2020; 19:80. [PMID: 32746847 PMCID: PMC7401206 DOI: 10.1186/s12937-020-00595-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 07/27/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Associations of fruit and vegetable consumption before and during pregnancy with birth weight of new-borns and the risk of low birth weight (LBW) remain unclear. METHODS Between July 2013 and March 2017, we recruited 23,406 pregnant women in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study (TMM BirThree Cohort Study). Fruit and vegetable consumption before and during pregnancy was calculated using food frequency questionnaires. Information regarding birth weight was obtained from medical records, and LBW was defined as < 2500 g. We used a multivariable linear regression model and a multivariate logistic regression model to assess associations between fruit and vegetable consumption and birth weight/risk of LBW. RESULTS In total, 17,610 women were included in the analysis. Mean birth weight was 3061.8 ± 354.1 g, and 5.4% of the new-borns had LBW. Compared to women in the lowest quartile of fruit consumption between pre- and early pregnancy, women in the highest quartile had heavier new-borns (β = 49.4; 95% CI: 34.1-64.7) and lower risk of LBW (OR: 0.79; 95% CI: 0.65-0.95). Women in the highest quartile of fruit consumption from early to mid-pregnancy also had heavier new-borns (β = 32.3; 95% CI: 17.1-47.6), and they tended to have lower risk of LBW (OR: 0.83; 95% CI: 0.69-1.01). Results of analysing the association between changes in fruit consumption from pre- to mid-pregnancy and birth outcomes revealed that women with continuous high fruit consumption from pre- to mid-pregnancy had heavier new-borns (β = 37.6; 95% CI: 25.0-50.3), but they did not have lower risk of LBW (OR: 0.90; 95% CI: 0.77-1.06). Associations involving vegetable consumption and birth weight/risk of LBW were not observed. CONCLUSIONS Fruit consumption before and during pregnancy was positively associated with birth weight of new-borns and negatively associated with risk of LBW.
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Affiliation(s)
- Yudai Yonezawa
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Innovation Division, KAGOME CO., LTD., Nasushiobara, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan.
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan.
| | - Takahiro Yamashita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Innovation Division, KAGOME CO., LTD., Nasushiobara, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | | | | | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
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122
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Iwama N, Ishikuro M, Tanaka K, Satoh M, Murakami T, Metoki H. Epidemiological studies regarding hypertensive disorders of pregnancy: A review. J Obstet Gynaecol Res 2020; 46:1672-1677. [PMID: 32715567 DOI: 10.1111/jog.14383] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 06/12/2020] [Indexed: 11/30/2022]
Abstract
A hypertensive disorder of pregnancy (HDP) is defined as hypertension emerging after 20 weeks of gestation and resolving up to 12 weeks post-partum, and occurs in about 5% of all pregnancies. Complications associated with HDP have poor prognoses, and maternal deaths attributable to HDP are predicted to exceed 70 000 per year worldwide. Understanding the pathogenesis and risk factors of hypertensive disorders of pregnancy is important, and they are often investigated in observational studies. Given that therapeutic interventions cannot be controlled in observed studies, it is necessary to interpret which factors correspond to exposure and which factors correspond to confounding and intermediate factors in each study. From the Babies and their parents' longitudinal observation in the Suzuki Memorial Hospital on Intrauterine period study, blood pressure in early pregnancy was not only predictive of a child's birthweight, but the trajectory was also associated with the birthweight. From the larger-scale birth cohort studies currently conducted in Japan will provide the novel potential risk factors of hypertensive disorders of pregnancy and preventive strategies of them. In Japan, observational or intervention studies are just beginning to emerge. The continuation of both a distinctive cohort and a large cohort is needed, and the development of good quality intervention trials based on the results of observational studies is important.
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Affiliation(s)
- Noriyuki Iwama
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Japan.,Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kosuke Tanaka
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Japan.,Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Michihiro Satoh
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Division of Public health, Hygiene and Epidemiology, Tohoku Medical and Pharmaceutical University Faculty of Medicine, Sendai, Japan
| | - Takahisa Murakami
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Division of Public health, Hygiene and Epidemiology, Tohoku Medical and Pharmaceutical University Faculty of Medicine, Sendai, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Division of Public health, Hygiene and Epidemiology, Tohoku Medical and Pharmaceutical University Faculty of Medicine, Sendai, Japan
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123
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Kikuchi D, Obara T, Usuzaki T, Yonezawa Y, Yamashita T, Oyanagi G, Noda A, Ueno F, Murakami K, Matsubara H, Ishikuro M, Metoki H, Kikuya M, Kuriyama S. 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. J Matern Fetal Neonatal Med 2020; 35:964-969. [PMID: 32166991 DOI: 10.1080/14767058.2020.1739020] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Objective: In Japan, supplementation with 400 µg of folic acid per day is recommended for women who are planning to get pregnant to decrease the risk of their babies getting neural tube defects (NTD). However, the proportion of women who have taken folic acid supplements before conception is low among Japanese pregnant women. In addition, the dietary intake of folic acid has not yet reached the government recommended dietary intake levels (480 µg per day). This study aimed to clarify the prevalence and determinants of adequate folic acid supplements among Japanese pregnant women with dietary folic acid intake lower than 480 µg per day.Methods: This cross-sectional study was a part of the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. We collected information on folic acid supplements before conception, sociological/lifestyle characteristics, and food consumption. The primary outcome was the use of folic acid supplements (adequate or inadequate, based on the timing of initiation of folic acid supplements). Multiple logistic regression analysis was used to examine the association between sociological/lifestyle characteristics and the adequate intake of folic acid supplements.Results: Among the 11,562 pregnant women who took lower than 480 µg per day of folic acid from food, the prevalence of adequate users was 18.0%. Pregnant women who reported adequate use of folic acid supplements were more likely to be older and educated; and reported higher household income, and history of fertility treatment. Conversely, they were less likely to be ever or current smokers and multipara.Conclusion: This study found that the prevalence of folic acid supplements use for the prevention of NTD among Japanese pregnant women was still low.
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Affiliation(s)
- Daisuke Kikuchi
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Taku Obara
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Takuma Usuzaki
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yudai Yonezawa
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan.,Innovation Division, Kagome Co., Ltd, Nasushiobara, Japan
| | - Takahiro Yamashita
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan.,Innovation Division, Kagome Co., Ltd, Nasushiobara, Japan
| | - Gen Oyanagi
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Aoi Noda
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Fumihiko Ueno
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Keiko Murakami
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Hiroko Matsubara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Mami Ishikuro
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Division of Public Health, Hygiene and Epidemiology, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
| | - Shinichi Kuriyama
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
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Brown MM, Woolcott CG, Dodds L, Ashley-Martin J, Allen VM, Fahey J, Kuhle S. The 3G Multigenerational Cohort of Nova Scotian women and their mothers and offspring. Paediatr Perinat Epidemiol 2020; 34:214-221. [PMID: 32003903 DOI: 10.1111/ppe.12647] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 11/27/2019] [Accepted: 12/22/2019] [Indexed: 12/19/2022]
Abstract
BACKGROUND The negative impact of exposures such as maternal obesity, excessive gestational weight gain, and hypertension in pregnancy on the health of the next generation has been well studied. Evidence from animal studies suggests that the effects of in utero exposures may persist into the second generation, but the epidemiological literature on the influence of pregnancy-related exposures across three generations in humans is sparse. OBJECTIVES This cohort was established to investigate associations between antenatal and perinatal exposures and health outcomes in women and their offspring. POPULATION The cohort includes women who were born and subsequently had their own pregnancies in the Canadian province of Nova Scotia from 1980 onward. DESIGN Intergenerational linkage of data in the Nova Scotia Atlee Perinatal Database was used to establish a population-based dynamic retrospective cohort. METHODS The cohort has prospectively collected information on sociodemographics, maternal health and health behaviours, pregnancy health and complications, and obstetrical and neonatal outcomes for two generations of women and their offspring. PRELIMINARY RESULTS As of October 2018, the 3G cohort included 14 978 grandmothers (born 1939-1986), 16 766 mothers or cohort women (born 1981-2003), and 28 638 children (born 1996-2018). The cohort women were generally younger than Nova Scotian women born after 1980, and as a result, characteristics associated with pregnancy at a younger age were more frequently seen in the cohort women; sampling weights will be created to account for this design effect. The cohort will be updated annually to capture future deliveries to women who are already in the cohort and women who become eligible for inclusion when they deliver their first child. CONCLUSIONS The 3G Multigenerational Cohort is a population-based cohort of women and their mothers and offspring, spanning a time period of 38 years, and provides the opportunity to study inter- and transgenerational associations across the maternal line.
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Affiliation(s)
- Mary M Brown
- Perinatal Epidemiology Research Unit, Departments of Pediatrics, and Obstetrics and Gynaecology, Dalhousie University, Halifax, NS, Canada
| | - Christy G Woolcott
- Perinatal Epidemiology Research Unit, Departments of Pediatrics, and Obstetrics and Gynaecology, Dalhousie University, Halifax, NS, Canada
| | - Linda Dodds
- Perinatal Epidemiology Research Unit, Departments of Pediatrics, and Obstetrics and Gynaecology, Dalhousie University, Halifax, NS, Canada
| | - Jillian Ashley-Martin
- Perinatal Epidemiology Research Unit, Departments of Pediatrics, and Obstetrics and Gynaecology, Dalhousie University, Halifax, NS, Canada
| | - Victoria M Allen
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynaecology, Dalhousie University, Halifax, NS, Canada
| | - John Fahey
- Reproductive Care Program of Nova Scotia, Halifax, NS, Canada
| | - Stefan Kuhle
- Perinatal Epidemiology Research Unit, Departments of Pediatrics, and Obstetrics and Gynaecology, Dalhousie University, Halifax, NS, Canada
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125
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Hozawa A, Tanno K, Nakaya N, Nakamura T, Tsuchiya N, Hirata T, Narita A, Kogure M, Nochioka K, Sasaki R, Takanashi N, Otsuka K, Sakata K, Kuriyama S, Kikuya M, Tanabe O, Sugawara J, Suzuki K, Suzuki Y, Kodama EN, Fuse N, Kiyomoto H, Tomita H, Uruno A, Hamanaka Y, Metoki H, Ishikuro M, Obara T, Kobayashi T, Kitatani K, Takai-Igarashi T, Ogishima S, Satoh M, Ohmomo H, Tsuboi A, Egawa S, Ishii T, Ito K, Ito S, Taki Y, Minegishi N, Ishii N, Nagasaki M, Igarashi K, Koshiba S, Shimizu R, Tamiya G, Nakayama K, Motohashi H, Yasuda J, Shimizu A, Hachiya T, Shiwa Y, Tominaga T, Tanaka H, Oyama K, Tanaka R, Kawame H, Fukushima A, Ishigaki Y, Tokutomi T, Osumi N, Kobayashi T, Nagami F, Hashizume H, Arai T, Kawaguchi Y, Higuchi S, Sakaida M, Endo R, Nishizuka S, Tsuji I, Hitomi J, Nakamura M, Ogasawara K, Yaegashi N, Kinoshita K, Kure S, Sakai A, Kobayashi S, Sobue K, Sasaki M, Yamamoto M. Study Profile of the Tohoku Medical Megabank Community-Based Cohort Study. J Epidemiol 2020; 31:65-76. [PMID: 31932529 PMCID: PMC7738642 DOI: 10.2188/jea.je20190271] [Citation(s) in RCA: 99] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Background We established a community-based cohort study to assess the long-term impact of the Great East Japan Earthquake on disaster victims and gene-environment interactions on the incidence of major diseases, such as cancer and cardiovascular diseases. Methods We asked participants to join our cohort in the health check-up settings and assessment center based settings. Inclusion criteria were aged 20 years or over and living in Miyagi or Iwate Prefecture. We obtained information on lifestyle, effect of disaster, blood, and urine information (Type 1 survey), and some detailed measurements (Type 2 survey), such as carotid echography and calcaneal ultrasound bone mineral density. All participants agreed to measure genome information and to distribute their information widely. Results As a result, 87,865 gave their informed consent to join our study. Participation rate at health check-up site was about 70%. The participants in the Type 1 survey were more likely to have psychological distress than those in the Type 2 survey, and women were more likely to have psychological distress than men. Additionally, coastal residents were more likely to have higher degrees of psychological distress than inland residents, regardless of sex. Conclusion This cohort comprised a large sample size and it contains information on the natural disaster, genome information, and metabolome information. This cohort also had several detailed measurements. Using this cohort enabled us to clarify the long-term effect of the disaster and also to establish personalized prevention based on genome, metabolome, and other omics information.
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Affiliation(s)
- Atsushi Hozawa
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Kozo Tanno
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University.,School of Medicine, Iwate Medical University
| | - Naoki Nakaya
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Saitama Prefectural University
| | - Tomohiro Nakamura
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Naho Tsuchiya
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Takumi Hirata
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Akira Narita
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Mana Kogure
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Kotaro Nochioka
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Tohoku University Hospital, Tohoku University
| | - Ryohei Sasaki
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University.,School of Medicine, Iwate Medical University
| | - Nobuyuki Takanashi
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
| | - Kotaro Otsuka
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University.,School of Medicine, Iwate Medical University
| | - Kiyomi Sakata
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University.,School of Medicine, Iwate Medical University
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,International Research Institute of Disaster Science, Tohoku University
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Teikyo University School of Medicine
| | - Osamu Tanabe
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Radiation Effects Research Foundation
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Tohoku University Hospital, Tohoku University
| | - Kichiya Suzuki
- Tohoku Medical Megabank Organization, Tohoku University.,Tohoku University Hospital, Tohoku University
| | - Yoichi Suzuki
- Tohoku Medical Megabank Organization, Tohoku University.,Ageo Central General Hospital
| | - Eiichi N Kodama
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Tohoku University Hospital, Tohoku University.,International Research Institute of Disaster Science, Tohoku University
| | - Nobuo Fuse
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Hideyasu Kiyomoto
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Tohoku University Hospital, Tohoku University.,International Research Institute of Disaster Science, Tohoku University
| | - Akira Uruno
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Yohei Hamanaka
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University.,Faculty of Medicine, Tohoku Medical and Pharmaceutical University
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Tohoku University Hospital, Tohoku University
| | - Tomoko Kobayashi
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Kazuyuki Kitatani
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Setsunan University
| | - Takako Takai-Igarashi
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Soichi Ogishima
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Mamoru Satoh
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University.,Institute for Biomedical Sciences, Iwate Medical University
| | - Hideki Ohmomo
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
| | - Akito Tsuboi
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Dentistry, Tohoku University
| | - Shinichi Egawa
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,International Research Institute of Disaster Science, Tohoku University
| | - Tadashi Ishii
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Tohoku University Hospital, Tohoku University
| | - Kiyoshi Ito
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,International Research Institute of Disaster Science, Tohoku University
| | - Sadayoshi Ito
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Tohoku University Hospital, Tohoku University
| | - Yasuyuki Taki
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Institute of Development, Aging and Cancer, Tohoku University
| | - Naoko Minegishi
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Naoto Ishii
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Masao Nagasaki
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Graduate School of Information Sciences, Tohoku University.,Kyoto University Graduate School of Medicine Faculty of Medicine
| | - Kazuhiko Igarashi
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Seizo Koshiba
- Tohoku Medical Megabank Organization, Tohoku University
| | - Ritsuko Shimizu
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Gen Tamiya
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Center for Advanced Intelligence Project, RIKEN
| | - Keiko Nakayama
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Hozumi Motohashi
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Institute of Development, Aging and Cancer, Tohoku University
| | - Jun Yasuda
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Miyagi Cancer Center
| | - Atsushi Shimizu
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
| | - Tsuyoshi Hachiya
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
| | - Yuh Shiwa
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
| | - Teiji Tominaga
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Tohoku University Hospital, Tohoku University
| | - Hiroshi Tanaka
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Tokyo Medical and Dental University
| | - Kotaro Oyama
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University.,School of Medicine, Iwate Medical University
| | - Ryoichi Tanaka
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University.,School of Medicine, Iwate Medical University
| | - Hiroshi Kawame
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,The JIKEI University School of Medicine
| | - Akimune Fukushima
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University.,School of Medicine, Iwate Medical University
| | - Yasushi Ishigaki
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University.,School of Medicine, Iwate Medical University
| | - Tomoharu Tokutomi
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University.,School of Medicine, Iwate Medical University
| | - Noriko Osumi
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | | | - Fuji Nagami
- Tohoku Medical Megabank Organization, Tohoku University
| | | | - Tomohiko Arai
- Tohoku Medical Megabank Organization, Tohoku University
| | | | | | | | - Ryujin Endo
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University.,Iwate Medical University School of Nursing
| | - Satoshi Nishizuka
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University.,Institute for Biomedical Sciences, Iwate Medical University
| | - Ichiro Tsuji
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Jiro Hitomi
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University.,School of Medicine, Iwate Medical University
| | | | - Kuniaki Ogasawara
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University.,School of Medicine, Iwate Medical University
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Tohoku University Hospital, Tohoku University
| | - Kengo Kinoshita
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Information Sciences, Tohoku University
| | - Shigeo Kure
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Tohoku University Hospital, Tohoku University
| | | | | | | | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University.,Institute for Biomedical Sciences, Iwate Medical University
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
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126
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Sugawara J, Ishikuro M, Obara T, Onuma T, Murakami K, Kikuya M, Ueno F, Noda A, Mizuno S, Kobayashi T, Hamanaka Y, Suzuki K, Kodama E, Tsuchiya N, Uruno A, Suzuki Y, Tanabe O, Kiyomoto H, Tsuboi A, Shimizu A, Koshiba S, Minegishi N, Ogishima S, Tamiya G, Metoki H, Hozawa A, Fuse N, Kinoshita K, Kure S, Yaegashi N, Kuriyama S, Yamamoto M. Maternal Baseline Characteristics and Perinatal Outcomes: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. J Epidemiol 2020; 32:69-79. [PMID: 33041318 PMCID: PMC8761563 DOI: 10.2188/jea.je20200338] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Background The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study was launched in 2013 to evaluate the complex interactions of genetic and environmental factors in multifactorial diseases. The present study describes the maternal baseline profile and perinatal data of participating mothers and infants. Methods Expectant mothers living in Miyagi Prefecture were recruited from obstetric facilities or affiliated centers between 2013 and 2017. Three sets of self-administered questionnaires were collected, and the medical records were reviewed to obtain precise information about each antenatal visit and each delivery. Biospecimens, including blood, urine, umbilical cord blood, and breast milk, were collected for the study biobank. The baseline maternal sociodemographic characteristics, results of screening tests, and obstetric outcomes were analyzed according to the maternal age group. Results A total of 23,406 pregnancies involving 23,730 fetuses resulted in 23,143 live births. Younger maternal participants had a tendency toward a higher incidence of threatened abortion and threatened premature labor, while older age groups exhibited a significantly higher rate of low lying placenta, placenta previa, gestational diabetes, and hypertensive disorders of pregnancy. Conclusions The present study clearly shows the distribution of maternal baseline characteristics and the range of perinatal outcomes according to maternal age group. This cohort study can provide strategic information for creating breakthroughs in the pathophysiology of perinatal, developmental, and noncommunicable diseases by collaborative data visiting or sharing.
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Affiliation(s)
- Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
- Tohoku University Hospital
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University
| | | | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University
- School of Medicine, Teikyo University
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University
| | | | | | | | | | - Eiichi Kodama
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
- International Research Institute of Disaster Science, Tohoku University
| | - Naho Tsuchiya
- Tohoku Medical Megabank Organization, Tohoku University
| | - Akira Uruno
- Tohoku Medical Megabank Organization, Tohoku University
| | - Yoichi Suzuki
- Tohoku Medical Megabank Organization, Tohoku University
- Ageo Central General Hospital
| | - Osamu Tanabe
- Tohoku Medical Megabank Organization, Tohoku University
- Radiation Effects Research Foundation
| | | | - Akito Tsuboi
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Dentistry, Tohoku University
| | - Atsushi Shimizu
- Tohoku Medical Megabank Organization, Tohoku University
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
| | - Seizo Koshiba
- Tohoku Medical Megabank Organization, Tohoku University
- The Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University
| | | | - Soichi Ogishima
- Tohoku Medical Megabank Organization, Tohoku University
- The Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University
| | - Gen Tamiya
- Tohoku Medical Megabank Organization, Tohoku University
- Center for Advanced Intelligence Project, RIKEN
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University
- Faculty of Medicine, Tohoku Medical Pharmaceutical University
| | | | - Nobuo Fuse
- Tohoku Medical Megabank Organization, Tohoku University
| | - Kengo Kinoshita
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Information Sciences, Tohoku University
| | - Shigeo Kure
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
- Tohoku University Hospital
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
- Tohoku University Hospital
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
- International Research Institute of Disaster Science, Tohoku University
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University
- Graduate School of Medicine, Tohoku University
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