Improving Type 2 Diabetes Prediction with Genetic Information
Author Information
Author(s): Weedon Michael N, McCarthy Mark I, Hitman Graham, Walker Mark, Groves Christopher J, Zeggini Eleftheria, Rayner N. William, Shields Beverley, Owen Katharine R, Hattersley Andrew T, Frayling Timothy M
Primary Institution: Department of Diabetes Research and Vascular Medicine, Peninsula Medical School, Exeter, United Kingdom
Hypothesis
Does combining information from multiple genetic variants improve the prediction of type 2 diabetes risk?
Conclusion
Combining information from several known common risk polymorphisms allows the identification of population subgroups with markedly differing risks of developing type 2 diabetes compared to those obtained using single polymorphisms.
Supporting Evidence
- Each additional risk allele increased the odds of type 2 diabetes by 1.28 times.
- Participants with all six risk alleles had an odds ratio of 5.71 compared to those with no risk alleles.
- The study included a large sample size of 2,409 cases and 3,668 controls.
Takeaway
If you have certain genes, your chances of getting type 2 diabetes can be higher, especially if you have more of these genes. This study helps us understand who might be at risk.
Methodology
The study genotyped three common genetic variants in a large case-control study of individuals with and without type 2 diabetes.
Potential Biases
The study may not fully represent the general population due to the selection of cases and controls.
Limitations
The cases are enriched for patients with a family history of type 2 diabetes and a young age of diagnosis, which may overestimate the risk due to these variants.
Participant Demographics
Participants were white UK residents, including 2,409 cases of type 2 diabetes and 3,668 controls.
Statistical Information
P-Value
1.5 × 10−10
Confidence Interval
95% CI, 1.15 to 28.3
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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