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The Use of Body Mass Index Polygenic Risk Score (BMI-PRS) in a Paediatric Population With Obesity
Julian Gomahr1, Wanda Lauth2,3, Lea Süßenbacher1
1Department of Pediatrics, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.
Polygenic risk scores (PRS) are less effective for stratifying risk in specialized pediatric obesity clinics. These genetic tools are better suited for general population screening due to the saturated genetic liability in clinical settings.
Area of Science:
- Genetics
- Pediatrics
- Obesity Research
Background:
- Polygenic risk scores (PRS) are utilized to assess obesity risk in general populations.
- Their utility in specialized pediatric obesity clinics, where genetic predisposition may already be high, is uncertain.
Purpose of the Study:
- To evaluate the effectiveness of PRS in stratifying obesity risk within a specialized pediatric clinic.
- To compare PRS distributions in an adolescent clinical cohort with a general adult population.
Main Methods:
- Analysis of 246 European adolescents with overweight/obesity (mean age 13.3 years).
- Computation of Body Mass Index (BMI)-PRS, Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) PRS, and type 2 diabetes (T2D) PRS from genotype data.
- Comparison of PRS distributions with a regional adult cohort (n=2044) and examination of associations with BMI and metabolic parameters.
Main Results:
- The adolescent clinic cohort exhibited a right-shifted BMI-PRS distribution compared to the adult population.
- BMI-PRS did not correlate with BMI or predict other metabolic parameters within the clinic sample.
- HOMA-IR and T2D PRS also showed no significant associations in this clinical cohort.
Conclusions:
- Polygenic risk scores demonstrate reduced discriminatory power in genetically enriched clinical pediatric obesity cohorts.
- PRS are more appropriate for population screening than for risk stratification within specialized clinics.
- Findings highlight the strong genetic basis of pediatric obesity and advocate for context-specific application of precision medicine.
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