Genetic polymorphisms of innate immunity-related inflammatory pathways and their association with factors related to type 2 diabetes
2011

Genetic Variants and Type 2 Diabetes Risk

Sample size: 6720 publication Evidence: moderate

Author Information

Author(s): Paul Arora, Bibiana Garcia-Bailo, Zari Dastani, Darren Brenner, Andre Villegas, Suneil Malik, Timothy D Spector, Brent Richards, Ahmed El-Sohemy, Mohamed Karmali, Alaa Badawi

Primary Institution: Public Health Agency of Canada

Hypothesis

The study investigates the association between genetic polymorphisms in innate immunity-related inflammatory pathways and metabolic factors related to type 2 diabetes.

Conclusion

Genetic variants in the innate immunity pathway are associated with some metabolic risk factors for type 2 diabetes, suggesting their potential as biomarkers for early disease risk prediction.

Supporting Evidence

  • Six out of 18 SNPs were significantly associated with metabolic phenotypes after Bonferroni correction.
  • Fasting insulin was associated with SNPs in IL6 and TNFA.
  • Serum HDL-C was associated with variants of TNFA and CRP.
  • CRP variants significantly modulated serum levels of sCRP.
  • Each additional allele of CRP rs1205 was associated with a 39.2% decrease in serum CRP level.
  • Each additional allele of CRP rs1417938 was associated with a 67.3% increase in serum CRP level.
  • Cross-correlation analysis showed significant associations among metabolic factors related to T2DM.

Takeaway

The study found that certain genes related to inflammation can affect the risk of developing type 2 diabetes by influencing metabolic factors like insulin and cholesterol levels.

Methodology

A cross-sectional study was conducted using data from the TwinsUK Registry to evaluate the association between 18 SNPs in five genes and metabolic phenotypes related to type 2 diabetes.

Limitations

The study focused on a selected panel of SNPs and did not investigate a comprehensive set of genome-wide variants.

Participant Demographics

The cohort consisted mostly of Caucasian female volunteers aged 16 to 83 years, with a mean age of 48 years.

Statistical Information

P-Value

p < 0.0001

Confidence Interval

95%CI: 29.5-47.6% for CRP rs1205; 95%CI: 44.5-93.8% for CRP rs1417938

Statistical Significance

p ≤ 0.0027

Digital Object Identifier (DOI)

10.1186/1471-2350-12-95

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