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Sutoh Y, Hachiya T, Otsuka-Yamasaki Y, Komaki S, Minabe S, Ohmomo H, Sasaki M, Shimizu A. Healthy lifestyle practice correlates with decreased obesity prevalence in individuals with high polygenic risk: TMM CommCohort study. J Hum Genet 2025; 70:9-15. [PMID: 39174808 DOI: 10.1038/s10038-024-01280-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 06/24/2024] [Accepted: 07/24/2024] [Indexed: 08/24/2024]
Abstract
Obesity and overweight, fundamental components of the metabolic syndrome, predispose individuals to lifestyle-related diseases. The extent to which adopting healthy lifestyles can reduce obesity risk, even in those with a high genetic risk, remains uncertain. Our aim was to assess the extent to which lifestyle modifications can improve outcomes in individuals with a high polygenic score (PGS) for obesity. We quantified the genetic risk of obesity using PGSs. Four datasets from the Tohoku Medical Megabank Community-Based Cohort (TMM CommCohort) were employed in the study. One dataset (n = 9958) was used to select the best model for calculating PGS. The remaining datasets (total n = 69,341) were used in a meta-analysis to validate the model and to evaluate associated risks. The odds ratio (OR) for obesity risk in the intermediate (11th-90th percentiles in the dataset) and high PGS categories (91st-100th) was 2.27 [95% confidence intervals: 2.12-2.44] and 4.83 [4.45-5.25], respectively, compared to that in the low PGS category (1st-10th). Trend analysis showed that an increase in leisure-time physical activity was significantly associated with reduced obesity risk across all genetic risk categories, representing an OR of 0.9 [0.87-0.94] even among individuals in the high PGS category. Similarly, sodium intake displayed a positive association with obesity across all genetic risk categories, yielding an OR of 1.24 [1.17-1.31] in the high PGS category. The risk of obesity was linked to the adoption of healthy lifestyles, even in individuals with high PGS. Our results may provide perspectives for integrating PGSs into preventive medicine.
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Affiliation(s)
- Yoichi Sutoh
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan
| | - Tsuyoshi Hachiya
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan
| | - Yayoi Otsuka-Yamasaki
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan
| | - Shohei Komaki
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan
| | - Shiori Minabe
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan
| | - Hideki Ohmomo
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan
- Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan
| | - Atsushi Shimizu
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan.
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan.
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2
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Oppelaar JJ, Ferwerda B, Romman MA, Sahebdin GN, Zwinderman AH, Galenkamp H, Boekholdt SM, van den Born BJH, Olde Engberink RH, Vogt L. Genetic Variance in Heparan Sulfation Is Associated With Salt Sensitivity. Hypertension 2024; 81:2101-2112. [PMID: 39247955 PMCID: PMC11404764 DOI: 10.1161/hypertensionaha.124.23421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Accepted: 06/19/2024] [Indexed: 09/10/2024]
Abstract
BACKGROUND High heritability of salt sensitivity suggests an essential role for genetics in the relationship between sodium intake and blood pressure (BP). The role of glycosaminoglycan genes, which are crucial for salinity tolerance, remains to be elucidated. METHODS Interactions between 54 126 variants in 130 glycosaminoglycan genes and daily sodium excretion on BP were explored in 20 420 EPIC-Norfolk (European Prospective Investigation Into Cancer in Norfolk) subjects. The UK Biobank (n=414 132) and the multiethnic HELIUS study (Healthy Life in an Urban Setting; n=2239) were used for validation. Afterward, the urinary glycosaminoglycan composition was studied in HELIUS participants (n=57) stratified by genotype and upon dietary sodium loading in a time-controlled crossover intervention study (n=12). RESULTS rs2892799 in NDST3 (heparan sulfate N-deacetylase/N-sulfotransferase 3) showed the strongest interaction with sodium on mean arterial pressure (false discovery rate 0.03), with higher mean arterial pressure for the C allele in high sodium conditions. Also, rs9654628 in HS3ST5 (heparan sulfate-glucosamine 3-sulfotransferase 5) showed an interaction with sodium on systolic BP (false discovery rate 0.03). These interactions were multiethnically validated. Stratifying for the rs2892799 genotype showed higher urinary expression of N-sulfated heparan sulfate epitope D0S0 for the T allele. Conversely, upon dietary sodium loading, urinary D0S0 expression was higher in participants with stable BP after sodium loading, and sodium-induced effects on this epitope were opposite in individuals with and without BP response to sodium. CONCLUSIONS The C allele of rs2892799 in NDST3 exhibits higher BP in high sodium conditions when compared with low sodium conditions, whereas no differences were detected for the T allele. Concomitantly, both alleles demonstrate distinct expressions of D0S0, which, in turn, correlates with sodium-mediated BP elevation. These findings underscore the potential significance of genetic glycosaminoglycan variation in human BP regulation.
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Affiliation(s)
- Jetta J. Oppelaar
- Department of Internal Medicine, Section of Nephrology (J.J.O., M.A.R., G.N.S., R.H.G.O.E., L.V.)
- Amsterdam Cardiovascular Sciences, the Netherlands (J.J.O., R.H.G.O.E., L.V., S.M.B., B.-J.H.B.)
| | - Bart Ferwerda
- Department of Clinical Epidemiology and Biostatistics (B.F., A.H.Z.)
| | - Mohamed A. Romman
- Department of Internal Medicine, Section of Nephrology (J.J.O., M.A.R., G.N.S., R.H.G.O.E., L.V.)
| | - Ghazalah N. Sahebdin
- Department of Internal Medicine, Section of Nephrology (J.J.O., M.A.R., G.N.S., R.H.G.O.E., L.V.)
| | | | - Henrike Galenkamp
- Department of Public and Occupational Health, Amsterdam Public Health (H.G., B.-J.H.B.)
| | - S. Matthijs Boekholdt
- Department of Cardiology (S.M.B.)
- Amsterdam Cardiovascular Sciences, the Netherlands (J.J.O., R.H.G.O.E., L.V., S.M.B., B.-J.H.B.)
| | - Bert-Jan H. van den Born
- Department of Public and Occupational Health, Amsterdam Public Health (H.G., B.-J.H.B.)
- Department of Internal Medicine, Section of Vascular Medicine, Amsterdam University Medical Center location University of Amsterdam, Meibergdreef 9, the Netherlands (B.-J.H.B.)
- Amsterdam Cardiovascular Sciences, the Netherlands (J.J.O., R.H.G.O.E., L.V., S.M.B., B.-J.H.B.)
| | - Rik H.G. Olde Engberink
- Department of Internal Medicine, Section of Nephrology (J.J.O., M.A.R., G.N.S., R.H.G.O.E., L.V.)
- Amsterdam Cardiovascular Sciences, the Netherlands (J.J.O., R.H.G.O.E., L.V., S.M.B., B.-J.H.B.)
| | - Liffert Vogt
- Department of Internal Medicine, Section of Nephrology (J.J.O., M.A.R., G.N.S., R.H.G.O.E., L.V.)
- Amsterdam Cardiovascular Sciences, the Netherlands (J.J.O., R.H.G.O.E., L.V., S.M.B., B.-J.H.B.)
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3
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Ohbe H, Hachiya T, Yamaji T, Nakano S, Miyamoto Y, Sutoh Y, Otsuka-Yamasaki Y, Shimizu A, Yasunaga H, Sawada N, Inoue M, Tsugane S, Iwasaki M. Development and validation of genome-wide polygenic risk scores for predicting breast cancer incidence in Japanese females: a population-based case-cohort study. Breast Cancer Res Treat 2023; 197:661-671. [PMID: 36538246 DOI: 10.1007/s10549-022-06843-6] [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: 09/28/2022] [Accepted: 12/08/2022] [Indexed: 12/24/2022]
Abstract
PURPOSE This study aimed to develop an ancestry-specific polygenic risk scores (PRSs) for the prediction of breast cancer events in Japanese females and validate it in a longitudinal cohort study. METHODS Using publicly available summary statistics of female breast cancer genome-wide association study (GWAS) of Japanese and European ancestries, we, respectively, developed 31 candidate genome-wide PRSs using pruning and thresholding (P + T) and LDpred methods with varying parameters. Among the candidate PRS models, the best model was selected using a case-cohort dataset (63 breast cancer cases and 2213 sub-cohorts of Japanese females during a median follow-up of 11.9 years) according to the maximal predictive ability by Harrell's C-statistics. The best-performing PRS for each derivation GWAS was evaluated in another independent case-cohort dataset (260 breast cancer cases and 7845 sub-cohorts of Japanese females during a median follow-up of 16.9 years). RESULTS For the best PRS model involving 46,861 single nucleotide polymorphisms (SNPs; P + T method with PT = 0.05 and R2 = 0.2) derived from Japanese-ancestry GWAS, the Harrell's C-statistic was 0.598 ± 0.018 in the evaluation dataset. The age-adjusted hazard ratio for breast cancer in females with the highest PRS quintile compared with those in the lowest PRS quintile was 2.47 (95% confidence intervals, 1.64-3.70). The PRS constructed using Japanese-ancestry GWAS demonstrated better predictive performance for breast cancer in Japanese females than that using European-ancestry GWAS (Harrell's C-statistics 0.598 versus 0.586). CONCLUSION This study developed a breast cancer PRS for Japanese females and demonstrated the usefulness of the PRS for breast cancer risk stratification.
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Affiliation(s)
- Hiroyuki Ohbe
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Tsuyoshi Hachiya
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan.
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
| | - Shiori Nakano
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Yoshihisa Miyamoto
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Yoichi Sutoh
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
| | - Yayoi Otsuka-Yamasaki
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
| | - Atsushi Shimizu
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
| | - Hideo Yasunaga
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Manami Inoue
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.,Division of Prevention, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.,National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, 162-8636, Japan
| | - Motoki Iwasaki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.,Division of Cohort Research, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
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4
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Hunter RW, Dhaun N, Bailey MA. The impact of excessive salt intake on human health. Nat Rev Nephrol 2022; 18:321-335. [DOI: 10.1038/s41581-021-00533-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/10/2021] [Indexed: 12/19/2022]
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5
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Razavi MA, Bazzano LA, Nierenberg J, Huang Z, Fernandez C, Razavi AC, Whelton SP, He J, Kelly TN. Advances in Genomics Research of Blood Pressure Responses to Dietary Sodium and Potassium Intakes. Hypertension 2021; 78:4-15. [PMID: 33993724 DOI: 10.1161/hypertensionaha.121.16509] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
More than half of US adults have hypertension by 40 years of age and a subsequent increase in atherosclerotic cardiovascular disease risk. Dietary sodium and potassium are intricately linked to the pathophysiology of hypertension. However, blood pressure responses to dietary sodium and potassium, phenomena known as salt and potassium sensitivity of blood pressure, respectively, are heterogenous and normally distributed in the general population. Like blood pressure, salt and potassium sensitivity are complex phenotypes, and previous research has shown that up to 75% of individuals experience a blood pressure change in response to such dietary minerals. Previous research has also implicated both high salt sensitivity and low salt sensitivity (or salt resistance) of blood pressure to an increased risk of hypertension and potentially atherosclerotic cardiovascular disease risk. Given the clinical challenges required to accurately measure the sodium and potassium response phenotypes, genomic characterization of these traits has become of interest for hypertension prevention initiatives on both the individual and population levels. Here, we review advances in human genomics research of blood pressure responses to dietary sodium and potassium by focusing on 3 main areas, including the phenotypic characterization of salt sensitivity and resistance, clinical challenges in diagnosing such phenotypes, and the genomic mechanisms that may help to explain salt and potassium sensitivity and resistance. Through this process, we hope to further underline the value of leveraging genomics and broader multiomics for characterizing the blood pressure response to sodium and potassium to improve precision in lifestyle approaches for primordial and primary atherosclerotic cardiovascular disease prevention.
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Affiliation(s)
| | - Lydia A Bazzano
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA (L.A.B., Z.H., C.F., A.C.R., J.H., T.N.K.)
| | - Jovia Nierenberg
- Department of Epidemiology and Biostatistics, University of California, San Francisco School of Medicine (J.N.)
| | - Zhijie Huang
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA (L.A.B., Z.H., C.F., A.C.R., J.H., T.N.K.)
| | - Camilo Fernandez
- Department of Medicine, Tulane University School of Medicine, New Orleans, LA (C.F., A.C.R., J.H.).,Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA (L.A.B., Z.H., C.F., A.C.R., J.H., T.N.K.)
| | - Alexander C Razavi
- Department of Medicine, Tulane University School of Medicine, New Orleans, LA (C.F., A.C.R., J.H.).,Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA (L.A.B., Z.H., C.F., A.C.R., J.H., T.N.K.)
| | - Seamus P Whelton
- The Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD (S.P.W.)
| | - Jiang He
- Department of Medicine, Tulane University School of Medicine, New Orleans, LA (C.F., A.C.R., J.H.).,Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA (L.A.B., Z.H., C.F., A.C.R., J.H., T.N.K.)
| | - Tanika N Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA (L.A.B., Z.H., C.F., A.C.R., J.H., T.N.K.)
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6
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Daher MT, Bausero P, Agbulut O, Li Z, Parlakian A. Bcl11b/Ctip2 in Skin, Tooth, and Craniofacial System. Front Cell Dev Biol 2020; 8:581674. [PMID: 33363142 PMCID: PMC7758212 DOI: 10.3389/fcell.2020.581674] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 11/19/2020] [Indexed: 12/20/2022] Open
Abstract
Ctip2/Bcl11b is a zinc finger transcription factor with dual action (repression/activation) that couples epigenetic regulation to gene transcription during the development of various tissues. It is involved in a variety of physiological responses under healthy and pathological conditions. Its role and mechanisms of action are best characterized in the immune and nervous systems. Furthermore, its implication in the development and homeostasis of other various tissues has also been reported. In the present review, we describe its role in skin development, adipogenesis, tooth formation and cranial suture ossification. Experimental data from several studies demonstrate the involvement of Bcl11b in the control of the balance between cell proliferation and differentiation during organ formation and repair, and more specifically in the context of stem cell self-renewal and fate determination. The impact of mutations in the coding sequences of Bcl11b on the development of diseases such as craniosynostosis is also presented. Finally, we discuss genome-wide association studies that suggest a potential influence of single nucleotide polymorphisms found in the 3’ regulatory region of Bcl11b on the homeostasis of the cardiovascular system.
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Affiliation(s)
- Marie-Thérèse Daher
- Biological Adaptation and Ageing, Inserm ERL U1164, UMR CNRS 8256, Institut de Biologie Paris-Seine, Sorbonne Université, Paris, France
| | - Pedro Bausero
- Biological Adaptation and Ageing, Inserm ERL U1164, UMR CNRS 8256, Institut de Biologie Paris-Seine, Sorbonne Université, Paris, France
| | - Onnik Agbulut
- Biological Adaptation and Ageing, Inserm ERL U1164, UMR CNRS 8256, Institut de Biologie Paris-Seine, Sorbonne Université, Paris, France
| | - Zhenlin Li
- Biological Adaptation and Ageing, Inserm ERL U1164, UMR CNRS 8256, Institut de Biologie Paris-Seine, Sorbonne Université, Paris, France
| | - Ara Parlakian
- Biological Adaptation and Ageing, Inserm ERL U1164, UMR CNRS 8256, Institut de Biologie Paris-Seine, Sorbonne Université, Paris, France
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7
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Sutoh Y, Hachiya T, Suzuki Y, Komaki S, Ohmomo H, Kakisaka K, Wang T, Takikawa Y, Shimizu A. ALDH2 genotype modulates the association between alcohol consumption and AST/ALT ratio among middle-aged Japanese men: a genome-wide G × E interaction analysis. Sci Rep 2020; 10:16227. [PMID: 33004991 PMCID: PMC7530747 DOI: 10.1038/s41598-020-73263-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 09/11/2020] [Indexed: 12/19/2022] Open
Abstract
Liver tests (LT), especially to measure AST, ALT and GGT levels, are widely used to evaluate the risk of alcohol-related liver disease (ALD). In this study, we investigated the potential genetic factors that modulate the association between LTs and alcohol consumption. We conducted a genome-wide interaction meta-analysis in 7856 Japanese subjects from Tohoku Medical Megabank Community-Based Cohort (TMM CommCohort) study recruited in 2013, and identified 2 loci (12q24 and 2p16) with genome-wide significance (P > 5 × 10-8). The significant variants in the 12q24 included rs671, a variant associated with alcohol intolerance and located at a coding exon of ALDH2. We found that the amount of alcohol consumption was associated with increased level AST/ALT ratio among the subjects with the rs671 GA genotype. The elevated AST/ALT ratio among subjects with moderate-to-high levels of drinking behavior and the rs671 GA genotype was due to decreased levels of ALT, which was not accompanied with significant differences in AST levels. Although the interaction effect was significant in both men and women, the effect was much larger in men. Our results suggest that the impact of alcohol consumption on LT varies according to the ALDH2 genotype, providing an insight for the accurate screening of ALD in drinkers with the rs671 GA genotype.
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Affiliation(s)
- Yoichi Sutoh
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Iwate, 028-3694, Japan
| | - Tsuyoshi Hachiya
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Iwate, 028-3694, Japan
| | - Yuji Suzuki
- Division of Hepatology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
| | - Shohei Komaki
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Iwate, 028-3694, Japan
| | - Hideki Ohmomo
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Iwate, 028-3694, Japan
| | - Keisuke Kakisaka
- Division of Hepatology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
| | - Ting Wang
- Division of Biomedical Research and Development, Institute of Biomedical Sciences, Iwate Medical University, Morioka, Iwate, Japan
| | - Yasuhiro Takikawa
- Division of Hepatology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
| | - Atsushi Shimizu
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Iwate, 028-3694, Japan.
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Iwate, 028-3694, Japan.
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8
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Hachiya T, Hata J, Hirakawa Y, Yoshida D, Furuta Y, Kitazono T, Shimizu A, Ninomiya T. Genome-Wide Polygenic Score and the Risk of Ischemic Stroke in a Prospective Cohort. Stroke 2020; 51:759-765. [DOI: 10.1161/strokeaha.119.027520] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Background and Purpose—
Environmental and genetic factors contribute to the development of ischemic stroke (IS). We recently developed a genome-wide polygenic risk score (PRS) for IS using case-control datasets from 4 large-scale observational studies conducted in Japan. Our objective in the present study was to confirm the association between the PRS and the risk of IS with data from an independent prospective cohort recruited from the general Japanese population.
Methods—
A total of 3038 subjects aged ≥40 years were followed up for 10 years (2002–2012). The genome-wide PRS was calculated using genotype data from >350 000 single-nucleotide polymorphisms. The PRS levels were divided into quintiles. High and low genetic risk groups were defined as top 60% and bottom 40% of PRS, respectively. The hazard ratio (HR) for the development of IS was estimated using a Cox proportional hazards model.
Results—
During the follow-up period, 91 cases developed first-ever IS. The age- and sex-adjusted HR for IS increased with higher PRS levels (
P
for trend, 0.03). Subjects with the highest quintile level of PRS had a 2.44-fold (95% CI, 1.16–5.12) greater risk for IS than those with the lowest quintile level after adjusting for age and sex. A similar association was observed after adjusting for environmental risk factors (
P
for trend, 0.03). As compared with low genetic risk group, the age- and sex-adjusted HR in high genetic risk group was 1.63 (95% CI, 1.04–2.55), which was comparable to the HR of hypertension (HR, 1.41), diabetes mellitus (HR, 1.72), and smoking (HR, 1.54). The age- and sex-adjusted HR increased with the number of environmental risk factors in both high and low genetic risk groups without significant interaction.
Conclusions—
A high genome-wide PRS was a significant risk factor for IS independent of environmental risk factors in a general Japanese population. This finding suggests that PRS may be useful to identify individuals at a high risk of IS.
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Affiliation(s)
- Tsuyoshi Hachiya
- From the Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Japan (T.H., A.S.)
| | - Jun Hata
- Department of Epidemiology and Public Health (J.H., D.Y., Y.F., T.N.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoichiro Hirakawa
- Department of Medicine and Clinical Science (Y.H., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Daigo Yoshida
- Department of Epidemiology and Public Health (J.H., D.Y., Y.F., T.N.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoshihiko Furuta
- Department of Epidemiology and Public Health (J.H., D.Y., Y.F., T.N.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takanari Kitazono
- Department of Medicine and Clinical Science (Y.H., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Atsushi Shimizu
- From the Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Japan (T.H., A.S.)
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health (J.H., D.Y., Y.F., T.N.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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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: 92] [Impact Index Per Article: 18.4] [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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10
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Efficiency score from data envelopment analysis can predict the future onset of hypertension and dyslipidemia: A cohort study. Sci Rep 2019; 9:16309. [PMID: 31705056 PMCID: PMC6841950 DOI: 10.1038/s41598-019-52898-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 10/24/2019] [Indexed: 12/29/2022] Open
Abstract
Primary prevention focuses on ensuring that healthy people remain healthy. As it is practically difficult to provide intervention for an entire healthy population, it is essential to identify and target the at risk of risks population. We aimed to distinguish at risk of risks population using data envelopment analysis (DEA). Efficiency score was calculated from the DEA using a cohort sample and its association with the onset of hypertension and dyslipidemia was analyzed. A stratification analysis was performed according to the number of conventional risk factors in participants. The adjusted odds ratios (aORs) of the incidence of hypertension and dyslipidemia according to a 0.1-point increase in efficiency score were 0.66 (90% confidence interval [CI] 0.55–0.78, p < 0.0001) and 0.84 (90% CI 0.75–0.94, p = 0.01), respectively. In the stratification analysis, aOR of the incidence of hypertension according to a 0.1-point increase in efficiency score was 0.57 (90% CI 0.37–0.89, p = 0.04) in participants with no conventional risk factors. Participants with lower efficiency score were suggested to be at high risk for future onset of hypertension and dyslipidemia. The DEA might enable us to identify the risk of hypertension where conventional methods might fail.
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11
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Jia H, Nogawa S, Kawafune K, Hachiya T, Takahashi S, Igarashi M, Saito K, Kato H. GWAS of habitual coffee consumption reveals a sex difference in the genetic effect of the 12q24 locus in the Japanese population. BMC Genet 2019; 20:61. [PMID: 31345160 PMCID: PMC6659273 DOI: 10.1186/s12863-019-0763-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 07/08/2019] [Indexed: 01/04/2023] Open
Abstract
Background Studies on genetic effects of coffee consumption are scarce for Asian populations. We conducted a genome-wide association study (GWAS) of habitual coffee consumption in Japan using a self-reporting online survey. Results Candidate genetic loci associated with habitual coffee consumption were searched within a discovery cohort (N = 6,264) and confirmed in a replication cohort (N = 5,975). Two loci achieved genome-wide significance (P < 5 × 10− 8) in a meta-analysis of the discovery and replication cohorts: an Asian population-specific 12q24 (rs79105258; P = 9.5 × 10− 15), which harbors CUX2, and 7p21 (rs10252701; P = 1.0 × 10− 14), in the upstream region of the aryl hydrocarbon receptor (AHR) gene, involved in caffeine metabolism. Subgroup analysis revealed a stronger genetic effect of the 12q24 locus in males (P for interaction = 8.2 × 10− 5). Further, rs79105258 at the 12q24 locus exerted pleiotropic effects on body mass index (P = 3.5 × 10− 4) and serum triglyceride levels (P = 8.7 × 10− 3). Conclusions Our results consolidate the association of habitual coffee consumption with the 12q24 and 7p21 loci. The different effects of the 12q24 locus between males and females are a novel finding that improves our understanding of genetic influences on habitual coffee consumption. Electronic supplementary material The online version of this article (10.1186/s12863-019-0763-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Huijuan Jia
- Health Nutrition, Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657, Japan.
| | - Shun Nogawa
- Genequest Inc., 5-29-11 Siba, Minato-ku, Tokyo, 108-0014, Japan
| | - Kaoru Kawafune
- Genequest Inc., 5-29-11 Siba, Minato-ku, Tokyo, 108-0014, Japan
| | - Tsuyoshi Hachiya
- Genequest Inc., 5-29-11 Siba, Minato-ku, Tokyo, 108-0014, Japan.,Genome Analytics Japan Inc., 15-1-3205, Tomihisa-cho, Shinjuku-ku, Tokyo, 162-0067, Japan
| | - Shoko Takahashi
- Genequest Inc., 5-29-11 Siba, Minato-ku, Tokyo, 108-0014, Japan
| | - Maki Igarashi
- Health Nutrition, Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657, Japan.,Department of Molecular Endocrinology, National Research Institute for Child Health and Development, 2-10-1 Okura, Setagaya-ku, Tokyo, 157-8535, Japan
| | - Kenji Saito
- Health Nutrition, Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657, Japan.,Genequest Inc., 5-29-11 Siba, Minato-ku, Tokyo, 108-0014, Japan
| | - Hisanori Kato
- Health Nutrition, Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657, Japan.
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