A Genetic Risk Score Improves Psoriasis Prediction
Author Information
Author(s): Chen Haoyan, Poon Annie, Yeung Celestine, Helms Cynthia, Pons Jennifer, Bowcock Anne M., Kwok Pui-Yan, Liao Wilson
Primary Institution: University of California San Francisco
Hypothesis
Can a genetic risk score combining multiple loci improve psoriasis prediction?
Conclusion
A genetic risk score combining 10 psoriasis risk loci significantly improves disease prediction compared to individual SNPs.
Supporting Evidence
- The total number of risk alleles in psoriasis cases was significantly higher than in controls.
- The weighted genetic risk score was significantly associated with early onset of disease.
- The area under the curve for the weighted genetic risk score was significantly greater than for the counted genetic risk score.
- The 10 risk loci accounted for only 11.6% of the genetic variance in psoriasis.
Takeaway
Scientists created a score that adds up genetic risks to better predict who might get psoriasis, and it works better than looking at each gene alone.
Methodology
The study used a case-control design with genotyping of ten psoriasis risk SNPs in 2815 samples.
Potential Biases
Potential overfitting due to using the same data for model construction.
Limitations
The study did not include all known psoriasis loci and was limited to Caucasian participants.
Participant Demographics
The study included 731 unrelated cases and 2084 unrelated controls of European ancestry.
Statistical Information
P-Value
4.577×10−40
Confidence Interval
95% CI 7.63–14.57
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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