medRxivGenetic & Genomic MedicinePreprint
Lysosomal polygenic risk score in Parkinson's disease across populations.
Wenhua Sun, Kathrin BrockmanniD, Isabel WursteriD, Roswitha Kemmner, Benjamin RöebeniD, Reda Skaiene, Stefanie LercheiD, Claudia SchulteiD, Thomas GasseriD, Manuela M. X. TaniD, the Global Parkinson’s Genetic Program (GP2)
Abstract
BackgroundLysosomal dysfunction has been implicated in Parkinsons disease (PD) pathogenesis. However, lysosomal polygenic risk scores (lyso-PRS) have not been evaluated extensively in PD across populations. Objectives(1) Evaluation of lyso-PRS (lyso-PRS) performance for PD risk across populations; (2) Comparison of lyso-PRS across idiopathic PD (iPD), GBA1-PD, non-manifesting GBA1 carriers (NMC), and healthy controls (HC) in the European population. (3) Assessment of the lyso-PRS association with clinical outcomes in the PD patients of European population. MethodsWe analyzed Neurobooster array data from the Global Parkinsons Genetics Program (GP2) dataset, including 32,054 iPD cases and 18,188 healthy controls across ten ancestries. Results(1) lyso-PRS performed best in Europeans (European-GP2 test cohort: AUC = 0.602, p = 2.02e-172; European-TUEPAC validation cohort: AUC = 0.632, p = 5.34e-20) and worse in other populations (AUC: 0.51-0.59, p<0.05). (2) In the European population, the lyso-PRS distinguished GBA1-PD from HC (AUC = 0.621, p = 7.83e-71) and from NMC (AUC = 0.621, p = 1.05e-18). (3) In the European-GP2 cohort, higher lyso-PRS was significantly associated with earlier age at onset ({beta}=-0.21, p=0.022) and higher Unified Parkinsons Disease Rating Scale (UPDRS) scores ({beta}=0.32-1.13, all p < 0.05). Conclusionslyso-PRS was associated with iPD and GBA1-PD status, with the strongest predictive performance in the European population, underscoring the need to improve accuracy in other ancestries. In the European population, the lyso-PRS showed associations with clinical features; however, not all findings were replicated in the validation cohort, highlighting the need for further investigation in large and diverse cohorts.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
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