IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0126363.html
   My bibliography  Save this article

Replication Study in a Japanese Population to Evaluate the Association between 10 SNP Loci, Identified in European Genome-Wide Association Studies, and Type 2 Diabetes

Author

Listed:
  • Ren Matsuba
  • Kensuke Sakai
  • Minako Imamura
  • Yasushi Tanaka
  • Minoru Iwata
  • Hiroshi Hirose
  • Kohei Kaku
  • Hiroshi Maegawa
  • Hirotaka Watada
  • Kazuyuki Tobe
  • Atsunori Kashiwagi
  • Ryuzo Kawamori
  • Shiro Maeda

Abstract

Aim: We performed a replication study in a Japanese population to evaluate the association between type 2 diabetes and 7 susceptibility loci originally identified by European genome-wide association study (GWAS) in 2012: ZMIZ1, KLHDC5, TLE1, ANKRD55, CILP2, MC4R, and BCAR1. We also examined the association of 3 additional loci: CCND2 and GIPR, identified in sex-differentiated analyses, and LAMA1, which was shown to be associated with non-obese European type 2 diabetes. Methods: We genotyped 6,972 Japanese participants (4,280 type 2 diabetes patients and 2,692 controls) for each of the 10 single nucleotide polymorphisms (SNPs): rs12571751 in ZMIZ1, rs10842994 near KLHDC5, rs2796441 near TLE1, rs459193 near ANKRD55, rs10401969 in CILP2, rs12970134 near MC4R, rs7202877 near BCAR1, rs11063069 near CCND2, rs8108269 near GIPR, and rs8090011 in LAMA1 using a multiplex polymerase chain reaction invader assay. The association of each SNP locus with the disease was evaluated using a logistic regression analysis. Results: All SNPs examined in this study had the same direction of effect (odds ratio > 1.0, p = 9.77 × 10-4, binomial test), as in the original reports. Among them, rs12571751 in ZMIZ1 was significantly associated with type 2 diabetes [p = 0.0041, odds ratio = 1.123, 95% confidence interval 1.037–1.215, adjusted for sex, age and body mass index (BMI)], but we did not observe significant association of the remaining 9 SNP loci with type 2 diabetes in the present Japanese population (p ≥ 0.005). A genetic risk score, constructed from the sum of risk alleles for the 7 SNP loci identified by un-stratified analyses in the European GWAS meta-analysis were associated with type 2 diabetes in the present Japanese population (p = 2.3 × 10-4, adjusted for sex, age and BMI). Conclusions: ZMIZ1 locus has a significant effect on conferring susceptibility to type 2 diabetes also in the Japanese population.

Suggested Citation

  • Ren Matsuba & Kensuke Sakai & Minako Imamura & Yasushi Tanaka & Minoru Iwata & Hiroshi Hirose & Kohei Kaku & Hiroshi Maegawa & Hirotaka Watada & Kazuyuki Tobe & Atsunori Kashiwagi & Ryuzo Kawamori & S, 2015. "Replication Study in a Japanese Population to Evaluate the Association between 10 SNP Loci, Identified in European Genome-Wide Association Studies, and Type 2 Diabetes," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-13, May.
  • Handle: RePEc:plo:pone00:0126363
    DOI: 10.1371/journal.pone.0126363
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0126363
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0126363&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0126363?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kensuke Sakai & Minako Imamura & Yasushi Tanaka & Minoru Iwata & Hiroshi Hirose & Kohei Kaku & Hiroshi Maegawa & Hirotaka Watada & Kazuyuki Tobe & Atsunori Kashiwagi & Ryuzo Kawamori & Shiro Maeda, 2013. "Replication Study for the Association of 9 East Asian GWAS-Derived Loci with Susceptibility to Type 2 Diabetes in a Japanese Population," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-1, September.
    2. Robert Sladek & Ghislain Rocheleau & Johan Rung & Christian Dina & Lishuang Shen & David Serre & Philippe Boutin & Daniel Vincent & Alexandre Belisle & Samy Hadjadj & Beverley Balkau & Barbara Heude &, 2007. "A genome-wide association study identifies novel risk loci for type 2 diabetes," Nature, Nature, vol. 445(7130), pages 881-885, February.
    3. John R B Perry & Benjamin F Voight & Loïc Yengo & Najaf Amin & Josée Dupuis & Martha Ganser & Harald Grallert & Pau Navarro & Man Li & Lu Qi & Valgerdur Steinthorsdottir & Robert A Scott & Peter Almgr, 2012. "Stratifying Type 2 Diabetes Cases by BMI Identifies Genetic Risk Variants in LAMA1 and Enrichment for Risk Variants in Lean Compared to Obese Cases," PLOS Genetics, Public Library of Science, vol. 8(5), pages 1-14, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ping Rao & Hao Wang & Honghong Fang & Qing Gao & Jie Zhang & Manshu Song & Yong Zhou & Youxin Wang & Wei Wang, 2016. "Association between IGF2BP2 Polymorphisms and Type 2 Diabetes Mellitus: A Case–Control Study and Meta-Analysis," IJERPH, MDPI, vol. 13(6), pages 1-13, June.
    2. Greve, Jane, 2008. "Obesity and labor market outcomes in Denmark," Economics & Human Biology, Elsevier, vol. 6(3), pages 350-362, December.
    3. John PA Ioannidis & Nikolaos A Patsopoulos & Evangelos Evangelou, 2007. "Heterogeneity in Meta-Analyses of Genome-Wide Association Investigations," PLOS ONE, Public Library of Science, vol. 2(9), pages 1-7, September.
    4. Paul F O’Reilly & Clive J Hoggart & Yotsawat Pomyen & Federico C F Calboli & Paul Elliott & Marjo-Riitta Jarvelin & Lachlan J M Coin, 2012. "MultiPhen: Joint Model of Multiple Phenotypes Can Increase Discovery in GWAS," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-1, May.
    5. Sarah Meulebrouck & Judith Merrheim & Gurvan Queniat & Cyril Bourouh & Mehdi Derhourhi & Mathilde Boissel & Xiaoyan Yi & Alaa Badreddine & Raphaël Boutry & Audrey Leloire & Bénédicte Toussaint & Souhi, 2024. "Functional genetics reveals the contribution of delta opioid receptor to type 2 diabetes and beta-cell function," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    6. Sato Yasunori & Laird Nan & Suganami Hideki & Hamada Chikuma & Niki Naoto & Yoshimura Isao & Yoshida Teruhiko, 2009. "Statistical Screening Method for Genetic Factors Influencing Susceptibility to Common Diseases in a Two-Stage Genome-Wide Association Study," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-23, November.
    7. Jiajin Li & Brandon Jew & Lingyu Zhan & Sungoo Hwang & Giovanni Coppola & Nelson B Freimer & Jae Hoon Sul, 2019. "ForestQC: Quality control on genetic variants from next-generation sequencing data using random forest," PLOS Computational Biology, Public Library of Science, vol. 15(12), pages 1-30, December.
    8. Guang Guo, 2008. "Introduction to the Special Issue on Society and Genetics," Sociological Methods & Research, , vol. 37(2), pages 159-163, November.
    9. Hui Cheng & Xiao Yu & Yu-Ting Li & Zhihui Jia & Jia-Ji Wang & Yao-Jie Xie & Jose Hernandez & Harry H. X. Wang & Hua-Feng Wu, 2023. "Association between METS-IR and Prediabetes or Type 2 Diabetes Mellitus among Elderly Subjects in China: A Large-Scale Population-Based Study," IJERPH, MDPI, vol. 20(2), pages 1-10, January.
    10. Peristera Paschou & Petros Drineas & Jamey Lewis & Caroline M Nievergelt & Deborah A Nickerson & Joshua D Smith & Paul M Ridker & Daniel I Chasman & Ronald M Krauss & Elad Ziv, 2008. "Tracing Sub-Structure in the European American Population with PCA-Informative Markers," PLOS Genetics, Public Library of Science, vol. 4(7), pages 1-13, July.
    11. Hongyan Mao & Qin Li & Shujun Gao, 2012. "Meta-Analysis of the Relationship between Common Type 2 Diabetes Risk Gene Variants with Gestational Diabetes Mellitus," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-7, September.
    12. Zhenzhu Tang & Zhifeng Fang & Wei Huang & Zhanhua Liu & Yuzhu Chen & Zhongyou Li & Ting Zhu & Qichun Wang & Steve Simpson & Bruce V. Taylor & Rui Lin, 2016. "Non-Obese Diabetes and Its Associated Factors in an Underdeveloped Area of South China, Guangxi," IJERPH, MDPI, vol. 13(10), pages 1-12, September.
    13. Ekaterina Alekseevna Sokolova & Irina Arkadievna Bondar & Olesya Yurievna Shabelnikova & Olga Vladimirovna Pyankova & Maxim Leonidovich Filipenko, 2015. "Replication of KCNJ11 (p.E23K) and ABCC8 (p.S1369A) Association in Russian Diabetes Mellitus 2 Type Cohort and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-21, May.
    14. Xiaobo Li & Yuqiong Li & Bei Song & Shujie Guo & Shaoli Chu & Nan Jia & Wenquan Niu, 2012. "Hematopoietically-Expressed Homeobox Gene Three Widely-Evaluated Polymorphisms and Risk for Diabetes: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-10, November.
    15. Shuang-Xia Zhao & Chun-Ming Pan & Huang-Ming Cao & Bing Han & Jing-Yi Shi & Jun Liang & Guan-Qi Gao & Yong-De Peng & Qing Su & Jia-Lun Chen & Jia-Jun Zhao & Huai-Dong Song, 2010. "Association of the CTLA4 Gene with Graves' Disease in the Chinese Han Population," PLOS ONE, Public Library of Science, vol. 5(3), pages 1-10, March.
    16. Ren Matsuba & Minako Imamura & Yasushi Tanaka & Minoru Iwata & Hiroshi Hirose & Kohei Kaku & Hiroshi Maegawa & Hirotaka Watada & Kazuyuki Tobe & Atsunori Kashiwagi & Ryuzo Kawamori & Shiro Maeda, 2016. "Replication Study in a Japanese Population of Six Susceptibility Loci for Type 2 Diabetes Originally Identified by a Transethnic Meta-Analysis of Genome-Wide Association Studies," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-9, April.
    17. Ping Rao & Yong Zhou & Si-Qi Ge & An-Xin Wang & Xin-Wei Yu & Mohamed Ali Alzain & Andrea Katherine Veronica & Jing Qiu & Man-Shu Song & Jie Zhang & Hao Wang & Hong-Hong Fang & Qing Gao & You-Xin Wang , 2016. "Validation of Type 2 Diabetes Risk Variants Identified by Genome-Wide Association Studies in Northern Han Chinese," IJERPH, MDPI, vol. 13(9), pages 1-10, August.
    18. Nicholette D Palmer & Caitrin W McDonough & Pamela J Hicks & Bong H Roh & Maria R Wing & S Sandy An & Jessica M Hester & Jessica N Cooke & Meredith A Bostrom & Megan E Rudock & Matthew E Talbert & Jos, 2012. "A Genome-Wide Association Search for Type 2 Diabetes Genes in African Americans," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-14, January.
    19. Qing Ma & Yini Xiao & Wenjun Xu & Menghan Wang & Sheng Li & Zhihao Yang & Minglu Xu & Tengjiao Zhang & Zhen-Ning Zhang & Rui Hu & Qiang Su & Fei Yuan & Tinghui Xiao & Xuan Wang & Qing He & Jiaxu Zhao , 2022. "ZnT8 loss-of-function accelerates functional maturation of hESC-derived β cells and resists metabolic stress in diabetes," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    20. Yuan Min & Tian Xin & Zheng Gang & Yang Yaning, 2009. "Adaptive Transmission Disequilibrium Test for Family Trio Design," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-22, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0126363. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.