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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
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    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.
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    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.

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