IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v13y2016i6p574-d71728.html
   My bibliography  Save this article

Association between IGF2BP2 Polymorphisms and Type 2 Diabetes Mellitus: A Case–Control Study and Meta-Analysis

Author

Listed:
  • Ping Rao

    (School of Public Health, Capital Medical University, Beijing 100069, China)

  • Hao Wang

    (School of Public Health, Capital Medical University, Beijing 100069, China)

  • Honghong Fang

    (School of Public Health, Capital Medical University, Beijing 100069, China)

  • Qing Gao

    (School of Public Health, Capital Medical University, Beijing 100069, China)

  • Jie Zhang

    (School of Public Health, Capital Medical University, Beijing 100069, China)

  • Manshu Song

    (School of Public Health, Capital Medical University, Beijing 100069, China)

  • Yong Zhou

    (Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China)

  • Youxin Wang

    (School of Public Health, Capital Medical University, Beijing 100069, China)

  • Wei Wang

    (School of Public Health, Capital Medical University, Beijing 100069, China
    School of Medical Sciences, Edith Cowan University, Perth, WA 6027, Australia)

Abstract

Background: Genome-wide association studies (GWAS) found that IGF2BP2 rs4402960 and rs1470579 polymorphisms were associated with type 2 diabetes mellitus (T2DM) risk. Many studies have replicated this association, but yielded inconsistent results. Materials and Methods: A case-control study consisting of 461 T2DM patients and 434 health controls was conducted to detect the genetic susceptibility of IGF2BP2 in a northern Han Chinese population. A meta-analysis was to evaluate the association more precisely in Asians. Results: In the case-control study, the carriers of TT genotype at rs4402960 had a higher T2DM risk than the G carriers (TG + GG) (adjusted odd ratio (AOR) = 1.962, 95% confidence interval (95% CI) = 1.065–3.612, p = 0.031]; CC carriers at rs1470579 were more susceptible to T2DM than A carriers (CA + AA) (AOR = 2.014, 95% CI = 1.114–3.642, p = 0.021). The meta-analysis containing 36 studies demonstrated that the two polymorphisms were associated with T2DM under the allele comparison, genetic models of dominant and recessive in Asians ( p < 0.05). The rs4402960 polymorphisms were significantly associated with the T2DM risk after stratification by diagnostic criterion, size of sample and average age and BMI of cases, while there’re no consistent results for rs1470579. Conclusions: Our data suggests that IGF2BP2 polymorphisms are associated with T2DM in Asian populations.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:6:p:574-:d:71728
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/13/6/574/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/13/6/574/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yi-Cheng Chang & Pi-Hua Liu & Yu-Hsiang Yu & Shan-Shan Kuo & Tien-Jyun Chang & Yi-Der Jiang & Jiun-Yi Nong & Juey-Jen Hwang & Lee-Ming Chuang, 2014. "Validation of Type 2 Diabetes Risk Variants Identified by Genome-Wide Association Studies in Han Chinese Population: A Replication Study and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-8, April.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Lisa Mitsuko Shitomi-Jones & Liz Akam & David Hunter & Puneetpal Singh & Sarabjit Mastana, 2023. "Genetic Risk Scores for the Determination of Type 2 Diabetes Mellitus (T2DM) in North India," IJERPH, MDPI, vol. 20(4), pages 1-14, February.

    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 & 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.
    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. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. Raamesh Deshpande & Shikha Sharma & Catherine M Verfaillie & Wei-Shou Hu & Chad L Myers, 2010. "A Scalable Approach for Discovering Conserved Active Subnetworks across Species," PLOS Computational Biology, Public Library of Science, vol. 6(12), pages 1-18, December.
    20. Inga Prokopenko & Wenny Poon & Reedik Mägi & Rashmi Prasad B & S Albert Salehi & Peter Almgren & Peter Osmark & Nabila Bouatia-Naji & Nils Wierup & Tove Fall & Alena Stančáková & Adam Barker & Vasilik, 2014. "A Central Role for GRB10 in Regulation of Islet Function in Man," PLOS Genetics, Public Library of Science, vol. 10(4), pages 1-13, April.

    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:gam:jijerp:v:13:y:2016:i:6:p:574-:d:71728. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.