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Published on: August 15, 2019
Multiancestry transferability of a polygenic risk score for diverticulitis
Thomas E Ueland1, Jonathan D Mosley2,3, Christopher Neylan4
1Vanderbilt University School of Medicine, Nashville, Tennessee, USA thomasueland09@gmail.com.
Polygenic risk scores (PRS) for diverticular disease show consistent associations with severe presentations across diverse ancestries. While PRS improves risk stratification models, the absolute performance gains are modest, highlighting the need for further research in genetic predisposition.
Area of Science:
- Genetics and Genomics
- Gastroenterology
- Population Health
Background:
- Polygenic risk scores (PRS) require validation in diverse populations to ensure equitable clinical application.
- Diverticular disease (DD) exhibits a complex etiology influenced by genetic and environmental factors.
Purpose of the Study:
- To evaluate a 44-variant PRS for diverticular disease in the diverse "All of Us" Research Program cohort.
- To explore phenome-wide associations with DD genetic susceptibility.
- To assess the PRS's ability to stratify risk for symptomatic and severe diverticulitis across different ancestral groups.
Main Methods:
- A 44-variant PRS was applied to 181,719 individuals for phenome-wide association studies (PheWAS) and 50,037 for risk modeling.
- PheWAS identified conditions genetically linked to DD, including connective tissue diseases and hernias.
- Logistic regression models incorporating PRS were compared to baseline models using AUROC and Nagelkerke's R² for performance assessment.
Main Results:
- The PRS demonstrated consistent associations with increased odds of symptomatic and severe diverticulitis across European, African, and Admixed-American ancestries.
- Phenome-wide analysis revealed genetic links between DD, connective tissue disorders, and hernias.
- European ancestry models yielded the highest performance metrics (AUROC: 0.78, R²: 0.25), with PRS contributing a modest R² increase of 0.034.
Conclusions:
- A diverticular disease PRS effectively identifies individuals at higher genetic risk for severe disease presentations, even after accounting for traditional risk factors.
- The PRS offers relative improvements in risk stratification models across diverse populations.
- Absolute performance enhancements from the PRS were modest, indicating potential for future refinement and integration with other risk predictors.
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