Polygenic risk prediction and SNCA haplotype analysis in a Latino Parkinson's disease cohort
Abstract
Background: Large-scale Parkinson's disease (PD) genome-wide association studies (GWAS) have, until recently, only been conducted on subjects with European -ancestry. Consequently, polygenic risk scores (PRS) constructed using PD GWAS data are likely to be less predictive when applied to non-European cohorts. Methods: Using GWAS data from the largest study to date, we constructed a PD PRS for a Latino PD cohort (1497 subjects from LARGE-PD) and tested it for as-sociation with PD status and age at onset. We validated the PRS performance by testing it in an independent Latino cohort (448 subjects) and by repeating the analysis in LARGE-PD with the addition of 440 external Peruvian controls. We also tested SNCA haplotypes for association with PD risk in LARGE-PD and a European- ancestry PD cohort. Results: The GWAS-significant PD PRS had an area under the receiver-operator curve (AUC) of 0.668 (95% CI: 0.640-0.695) in LARGE-PD. The inclusion of external Peruvian controls mitigated this result, dropping the AUC 0.632 (95% CI: 0.607-0.657). At the SNCA locus, haplotypes differ by ancestry. Ancestry-specific SNCA haplotypes were associated with PD status in both LARGE-PD and the European-ancestry cohort (p-value < 0.05). These haplotypes both include the rs356182 G- allele, but only share 14% of their variants overall. Conclusion: The PD PRS has potential for PD risk prediction in Latinos, but variability caused by admixture patterns and bias in a European-ancestry PD PRS data limits its utility. The inclusion of diverse subjects can help elucidate PD risk loci and improve risk prediction in non-European cohorts.
Más información
Título según WOS: | Polygenic risk prediction and SNCA haplotype analysis in a Latino Parkinson's disease cohort |
Título de la Revista: | PARKINSONISM & RELATED DISORDERS |
Volumen: | 102 |
Editorial: | ELSEVIER SCI LTD |
Fecha de publicación: | 2022 |
Página de inicio: | 7 |
Página final: | 15 |
DOI: |
10.1016/j.parkreldis.2022.06.010 |
Notas: | ISI |