Endocrine

, Volume 51, Issue 1, pp 52–62 | Cite as

Associations between two single-nucleotide polymorphisms (rs1801278 and rs2943641) of insulin receptor substrate 1 gene and type 2 diabetes susceptibility: a meta-analysis

  • Qiuyan Li
  • Yuandong Qiao
  • Chuntao Wang
  • Guangfa Zhang
  • Xuelong Zhang
  • Lidan Xu
Meta-Analysis

Abstract

The objective of the study is to assess the association between rs1801278 and rs2943641 of insulin receptor substrate 1 gene (IRS1) and the susceptibility to type 2 diabetes. A literature search strategy was conducted to identify all references lists of relevant studies. The fixed or random effect model was used to calculate the pooled ORs on the basis of heterogeneity. Further analyses were performed to explore the sources of heterogeneity by sensitivity analysis, meta-regression analysis, and subgroup analysis. There was significant association between rs1801278 and type 2 diabetes risk in recessive model (AA vs. GA + GG, p = 0.043) and codominant model (AA vs. GG, p = 0.007). Subgroup analysis showed that the association between rs1801278 and type 2 diabetes risk was significant in dominant model (GA + AA vs. GG, p = 0.044), codominant model (GA vs. GG, p = 0.039), codominant model (AA vs. GG, p = 0.044), overdominant model (GG + AA vs. GA, p = 0.037) in Asian and codominant model (AA vs. GG, p = 0.039) in Caucasian of rs1801278. The association between rs2943641 and type 2 diabetes risk was significant in codominant model (CT vs. CC, p = 0.023) in Caucasian. This meta-analysis suggests that rs1801278 may play a role in type 2 diabetes risk, especially in Asian. It also indicates that rs2943641 may be associated with type 2 diabetes risk in Caucasian. Further larger studies should be performed to warrant confirmation.

Keywords

Meta-analysis IRS1 Type 2 diabetes Polymorphism Susceptibility 

Supplementary material

12020_2015_770_MOESM1_ESM.eps (3.7 mb)
Forest plot for pooled ORs for the associations between codominant model (GA vs. GG) of rs1801278 and type 2 diabetes in the overall population (A), Caucasian (B), and Asian (C). Each square is proportional to the study-specific weight (EPS 3754 kb)
12020_2015_770_MOESM2_ESM.eps (3.5 mb)
Forest plot for pooled ORs for the associations between codominant model (AA vs. GG) of rs1801278 and type 2 diabetes in the overall population (A), Caucasian (B), and Asian (C). Each square is proportional to the study-specific weight (EPS 3534 kb)
12020_2015_770_MOESM3_ESM.eps (4.1 mb)
Forest plot for pooled ORs for the associations between overdominant model (GG + AA vs. GA) of rs1801278 and type 2 diabetes in the overall population (A), Caucasian (B), and Asian (C). Each square is proportional to the study-specific weight (EPS 4224 kb)
12020_2015_770_MOESM4_ESM.doc (24 kb)
Supplementary material 4 (DOC 24 kb)
12020_2015_770_MOESM5_ESM.doc (24 kb)
Supplementary material 5 (DOC 23 kb)
12020_2015_770_MOESM6_ESM.doc (112 kb)
Supplementary material 6 (DOC 112 kb)
12020_2015_770_MOESM7_ESM.doc (30 kb)
Supplementary material 7 (DOC 30 kb)
12020_2015_770_MOESM8_ESM.doc (19 kb)
Supplementary material 8 (DOC 19 kb)

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Qiuyan Li
    • 1
  • Yuandong Qiao
    • 1
  • Chuntao Wang
    • 1
  • Guangfa Zhang
    • 1
  • Xuelong Zhang
    • 1
  • Lidan Xu
    • 1
  1. 1.Laboratory of Medical GeneticsHarbin Medical UniversityHarbinPeople’s Republic of China

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