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      Associations Between hOGG1 Ser326Cys Polymorphism and Increased Body Mass Index and Fasting Glucose Level in the Japanese General Population Translated title: 日本人における hOGG1 Ser326Cys遺伝子多型とBMI、空腹時血糖との関連

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      1 , 2 , 3 , 1 , 4 , 4 , 5 ,   6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 12
      Journal of Epidemiology
      Japan Epidemiological Association
      human 8-oxoguanine glycosylase 1 (hOGG1), obesity, body mass index (BMI), fasting blood glucose (FBG), polymorphism, study area

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          Abstract

          Background

          Evidence suggests that Ser326Cys, a genetic polymorphism of human 8-oxoguanine glycosylase 1 ( hOGG1), is associated with insulin resistance and type 2 diabetes; however, the underlying mechanism is unclear. Recently, an animal study showed a significant association between the hOGG1 genotype and obesity, although evidence for such an association in humans is limited. The purpose of this study was to examine the association between the hOGG1 genotype and body mass index (BMI) and fasting blood glucose (FBG) levels.

          Methods

          Cross-sectional analysis was conducted using the baseline survey data from a Japan Multi-Institutional Collaborative Cohort Study, which included 1793 participants aged 40–69 years. The hOGG1 polymorphism was detected using a multiplex polymerase chain reaction-based invader assay. Multiple linear regression, analysis of covariance, and logistic regression were used to control for confounding variables.

          Results

          The Cys allele was significantly associated with increased BMI, FBG level, and total cholesterol (TC) level, even after adjustment for gender, age, energy intake, alcohol, smoking, physical activity, and family history of diabetes. An association with BMI was still observed after further adjustment for FBG and TC, but not for the study area (Amami or the mainland). The Cys/Cys genotype was significantly more prevalent in the participants with higher BMI (>27.5 kg/m 2). However, the impact of genotype decreased and significance disappeared after adjusting for the study area.

          Conclusions

          The present results suggest that the study area being inside Japan confounds the association between hOGG1 genotype and obesity.

          Translated abstract

          背景:

          DNA修復酵素であるヒト8―オキソグアニンDNAグリコシラーゼ (hOGG1)のSer326Cys遺伝子多型はインスリン抵抗性や2型糖尿病との関連が示唆されているが、その機序については明らかでない。近年、動物実験において OGG1の遺伝子多型と肥満の有意な関連が報告されたが、人での報告はほとんどない。本研究の目的は、 hOGG1の遺伝子多型とBMIおよび空腹時血糖との関連を調べることである。

          方法:

          日本多施設共同コーホート研究(ジェイミック スタディ)に参加した40~69歳の男女1,793人の資料及び試料を用いて横断研究を実施した。 hOGG1の遺伝子多型は、Multiplex PCR-based Invader assay法により決定した。重回帰分析、共分散分析、ロジスティック回帰分析を用いて交絡因子を調整し検討を行った。

          結果:

          性、年齢、摂取エネルギー、飲酒、喫煙、身体活動量、糖尿病の家族歴を補正しても、Cysアレル保有者ではBMI、空腹時血糖、総コレステロールが有意に高い値を示した。BMIとCysアレルの有意な関連は、さらに空腹時血糖と総コレステロールの値を調整しても認められたが、調査地域(奄美地域か、それ以外の地域か)で調整すると有意な関連は検出されなくなった。Cys/Cys型では高いBMI(>27.5 kg/m 2)との有意な関連がみられたが、調査地域を調整すると関連は弱まり、有意差も検出されなくなった。

          結論:

          hOGG1の遺伝子多型と肥満の関連に対し、日本人に限った研究においても調査地域による交絡が存在することが示された。

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          Most cited references25

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          Base-excision repair of oxidative DNA damage.

          Maintaining the chemical integrity of DNA in the face of assault by oxidizing agents is a constant challenge for living organisms. Base-excision repair has an important role in preventing mutations associated with a common product of oxidative damage to DNA, 8-oxoguanine. Recent structural studies have shown that 8-oxoguanine DNA glycosylases use an intricate series of steps to locate and excise 8-oxoguanine lesions efficiently against a high background of undamaged bases. The importance of preventing mutations associated with 8-oxoguanine is shown by a direct association between defects in the DNA glycosylase MUTYH and colorectal cancer. The properties of other guanine oxidation products and the associated DNA glycosylases that remove them are now also being revealed.
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            Population stratification and spurious allelic association.

            Great efforts and expense have been expended in attempts to detect genetic polymorphisms contributing to susceptibility to complex human disease. Concomitantly, technology for detection and scoring of single nucleotide polymorphisms (SNPs) has undergone rapid development, extensive catalogues of SNPs across the genome have been constructed, and SNPs have been increasingly used as a means for investigation of the genetic causes of complex human diseases. For many diseases, population-based studies of unrelated individuals--in which case-control and cohort studies serve as standard designs for genetic association analysis--can be the most practical and powerful approach. However, extensive debate has arisen about optimum study design, and considerable concern has been expressed that these approaches are prone to population stratification, which can lead to biased or spurious results. Over the past decade, a great shift has been noted, away from case-control and cohort studies, towards family-based association designs. These designs have fewer problems with population stratification but have greater genotyping and sampling requirements, and data can be difficult or impossible to gather. We discuss past evidence for population stratification on genotype-phenotype association studies, review methods to detect and account for it, and present suggestions for future study design and analysis.
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              International clinical harmonization of glycated hemoglobin in Japan: From Japan Diabetes Society to National Glycohemoglobin Standardization Program values

              In 1999, the Japan Diabetes Society (JDS) launched the previous version of the diagnostic criteria of diabetes mellitus, in which JDS took initiative in adopting glycated hemoglobin (HbA1c) as an adjunct to the diagnosis of diabetes. In contrast, in 2009 the International Expert Committee composed of the members of the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) manifested the recommendation regarding the use of HbA1c in diagnosing diabetes mellitus as an alternative to glucose measurements based on the updated evidence showing that HbA1c has several advantages as a marker of chronic hyperglycemia 2–4 . The JDS extensively evaluated the usefulness and feasibility of more extended use of HbA1c in the diagnosis of diabetes based on Japanese epidemiological data, and then the ‘Report of the Committee on the Classification and Diagnostic Criteria of Diabetes Mellitus’ was published in the Journal of Diabetes Investigation 5 and Diabetology International 6 . The new diagnostic criterion in Japan came into effect on 1 July 2010. According to the new version of the criteria, HbA1c (JDS) ≥6.1% is now considered to indicate a diabetic type, but the previous diagnosis criteria of high plasma glucose (PG) levels to diagnose diabetes mellitus also need to be confirmed. Those are as follows: (i) FPG ≥126 mg/dL (7.0 mmol/L); (ii) 2‐h PG ≥200 mg/dL (11.1 mmol/L) during an oral glucose tolerance test; or (iii) casual PG ≥200 mg/dL (11.1 mmol/L). If both PG criteria and HbA1c in patients have met the diabetic type, those patients are immediately diagnosed to have diabetes mellitus 5,6 . In the report, the HbA1c measurements in Japan are well calibrated with Japanese‐Clinical‐Laboratory‐Use Certified Reference Material (JCCRM). The certified values are determined by a high‐resolution type ion‐exchange high performance liquid chromatography (HPLC) (KO 500 method) and certified using the designated comparison method (DCM) of the Japan Society of Clinical Chemistry (JSCC) and the JDS. After incorporating a proportional bias correction to the value anchored to the peptide mapping method of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC), the DCM actually measures β‐N‐mono‐deoxyfructosyl hemoglobin and has an intercept approximately equal to zero against the peptide mapping method of IFCC in measuring fresh raw human blood samples. Furthermore, standardization of HbA1c in Japan was initiated in 1993, and the serial reference materials from JDS Lot 1 to JDS Lot 4 are well certified using the DCM until now. In the new diagnosis criteria 5,6 , the new cut‐point of HbA1c (JDS) for diagnosis of diabetes mellitus is 6.1%, which is equivalent to the internationally‐used HbA1c (National Glycohemoglobin Standardization Program [NGSP]) 6.5%, as HbA1c (NGSP)(%) is reported to be equivalent to 1.019 × HbA1c (JDS)% + 0.3%, which is reasonably estimated by the equation of HbA1c (JDS)% + 0.4%, as the difference between the two equations is within error of HbA1c measurements (2∼3%). However, on 1 October 2011, the Reference Material Institute for Clinical Chemistry Standards (ReCCS, Kanagawa, Japan) was certified as an Asian Secondary Reference Laboratory (ASRL) using the KO 500 method and the reference materials JCCRM411‐2 (JDS Lot 4) after successful completion of NGSP network laboratory certification. Therefore, the HbA1c unit is now traceable to the Diabetes Control and Complications Trial (DCCT) reference method. The comparison was carried out with the Central Primary Reference Laboratory (CPRL) in the University of Missouri School of Medicine. The conversion equation from HbA1c (JDS) to HbA1c (NGSP) units is officially certified as follows: NGSP (%) = 1.02 × JDS (%) + 0.25%; conversely, JDS (%) = 0.980 × NGSP (%) – 0.245%. Based on this equation, in the range of JDS values ≤4.9%, NGSP (%) = JDS (%) + 0.3%; in the range of JDS 5.0∼9.9%, NGSP (%) = JDS (%) + 0.4%; and in the range of JDS 10∼14.9%, NGSP (%) = JDS (%) + 0.5%. These results show that the previous equation of NGSP (%) = JDS (%) + 0.4% is also confirmed in the present equation, considering a 2∼3% error of HbA1c measurements. The council meeting of the JDS finally decided to use HbA1c (NGSP) values in clinical practice from 1 April 2012, although HbA1c (JDS) values will be included until people become familiar with the new expression. Finally, it is also important to emphasize that the new HbA1c (NGSP) values can be directly measured and printed out from 1 April 2012. However, both new diagnostic reference values and target values of glycemic control have been adjusted to those equivalent values of HbA1c (JDS), as shown in the Table 1. Table 1  Differences in glycated hemoglobin values between Japan Diabetes Society and National Glycohemoglobin Standardization Program for assessments of diagnosis and treatment of diabetes mellitus (a) Diagnostic reference values of HbA1c (NGSP) and HbA1c (JDS) Diagnostic reference values HbA1c (NGSP) HbA1c (JDS) Standard range (%) 4.6–6.2 4.3–5.8 Diabetes range (%) ≥6.5 ≥6.1 Possible diabetes range (%) 6.0–6.4 5.6–6.0 High risk range for diabetes (%) 5.6–5.9 5.2–5.5 (b) Assessments of the glycemic control using HbA1c Assessment of control state HbA1c (NGSP) HbA1c (JDS) Excellent (%) <6.2 <5.8 Good (%) 6.2–6.8 5.8–6.4 Fair  Inadequate (%) 6.9–7.3 6.5–6.9  Not good (%) 7.4–8.3 7.0–7.9 Poor (%) ≥8.4 ≥8.0 HbA1c, glycated hemoglobin; JDS, Japan Diabetes Society; NGSP, National Glycohemoglobin Standardization Program.
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                Author and article information

                Journal
                J Epidemiol
                J Epidemiol
                JE
                Journal of Epidemiology
                Japan Epidemiological Association
                0917-5040
                1349-9092
                5 September 2014
                5 July 2014
                2014
                : 24
                : 5
                : 379-384
                Affiliations
                [01] [1 ]Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan [1 ]佐賀大学医学部社会医学講座予防医学
                [02] [2 ]St. Mary’s College, Faculty of Nursing, Kurume, Japan [2 ]聖マリア学院大学看護学部
                [03] [3 ]Department of Public Health, Showa University, Tokyo, Japan [3 ]昭和大学医学部衛生学公衆衛生学講座公衆衛生学
                [04] [4 ]Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan [4 ]名古屋大学大学院医学系研究科予防医学
                [05] [5 ]Department of Healthcare Administration, Nagoya University Graduate School of Medicine, Nagoya, Japan [5 ]名古屋大学大学院医学系研究科社会生命科学講座医療行政学
                [06] [6 ]Department of Health Science, Shiga University of Medical Science, Otsu, Japan [6 ]滋賀医科大学公衆衛生学
                [07] [7 ]Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan [7 ]名古屋市立大学大学院医学研究科公衆衛生学
                [08] [8 ]Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Science, Kagoshima, Japan [8 ]鹿児島大学大学院医歯学総合研究科国際島嶼医療学
                [09] [9 ]Department of Geriatric Medicine, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan [9 ]九州大学大学院医学研究院予防医学
                [10] [10 ]Department of Preventive Medicine, Institute of Health Biosciences, University of Tokushima Graduate School, Tokushima, Japan [10 ]徳島大学大学院ヘルスバイオサイエンス研究部予防医学
                [11] [11 ]Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan [11 ]京都府立医科大学大学院医学研究科地域保健医療疫学
                [12] [12 ]Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan [12 ]愛知県がんセンター研究所疫学・予防部
                [13] [13 ]Division of Cancer Registry, Prevention and Epidemiology, Chiba Cancer Center, Chiba, Japan [13 ]千葉県がんセンター研究局がん予防センター
                [14] [14 ]Laboratory for Genotyping Development, Center for Genomic Medicine, RIKEN, Yokohama, Japan [14 ]理化学研究所ゲノム医科学研究センター
                Author notes
                Address for correspondence. Megumi Hara, Department of Preventive Medicine, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga, Japan (e-mail: harameg@ 123456cc.saga-u.ac.jp ).
                Article
                JE20140002
                10.2188/jea.JE20140002
                4150008
                24998955
                c6fb6e62-c953-4ed1-99cf-10931e5d5654
                © 2014 Megumi Hara et al.

                This is an open access article distributed under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 8 January 2014
                : 31 March 2014
                Categories
                Original Article
                Genetics

                human 8-oxoguanine glycosylase 1 (hogg1),obesity,body mass index (bmi),fasting blood glucose (fbg),polymorphism,study area

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