Parkinson Disease Pathogenic Variants: Cross-Ancestry Analysis and Microarray Data Validation.
This cross-ancestry analysis validates the NeuroBooster array for genotyping known Parkinson's pathogenic variants, reports their frequencies across diverse ancestries, and assesses per-variant genotyping quality.
What the AI sees
This cross-ancestry analysis validates the NeuroBooster array for genotyping known Parkinson's pathogenic variants, reports their frequencies across diverse ancestries, and assesses per-variant genotyping quality.
Research significance
Although not mechanistic or therapeutic itself, the study provides a validated, ancestrally diverse genetic resource that improves variant ascertainment for target validation, cohort selection, and equitable discovery efforts that can enable future therapy development.
Source abstract
BACKGROUND AND OBJECTIVES: Known pathogenic variants (PVs) in Parkinson disease (PD) contribute to disease development but have yet to be fully explored by arrays on a large scale. This study evaluated genotyping success of the NeuroBooster array (NBA) and determined the frequencies of PVs across ancestries. METHODS: We analyzed the presence and allele frequency of PVs in 28,710 PD cases, 9,614 other neurodegenerative disorder cases, and 15,821 controls across 11 ancestries within the Global Parkinson's Genetics Program (GP2) data set. Cluster plots were used to assess the quality of PVs genotyped on NBA. RESULTS: Genes previously predicted to have high or very high confidence of causing PD tend to have more PVs and are present across ancestry groups. Of 34 known PD gene PVs assessed, 25 were typed by NBA and classified as "good" (n = 12), "medium" (n = 4), or "bad" (n = 9) quality variants. DISCUSSION: Our results confirm the likelihood that established PD genes are pathogenic and highlight the importance of ancestrally diverse research in PD. We also show the usefulness of the NBA as a reliable tool for the genotyping of rare variants of PD.