Objective: To link PD GENEration genetic testing and counseling with continuous digital phenotyping to characterize genotype-associated mobility change, reduce access barriers, and support recruitment for gene-informed research.

Background: PD GENEration has shown the value of broad access to genetic testing and counseling in Parkinson disease, but most cohorts still lack dense longitudinal phenotype data. Linking returned genetic results with wearable and patient-reported measures may add personalized context for participants and improve stratification across genetic subgroups and variant-severity classes, consistent with stage-based frameworks that emphasize longitudinal change.

Method: Remote integration of PD GENEration  into a large mobile and wearable Parkinson disease platform will support in-app identification, virtual consent, at-home blood collection, centralized counseling, return of results, and provide linkage to longitudinal mobility, falls, symptoms, and medication data. Existing participants with prior genetic information can also be included. Analyses will compare variant-positive and variant-negative groups and explore whether genetic subgroups show different patterns or rates of mobility decline over time.

Results: Implementation is underway, with workflows defined for remote recruitment, at-home sample collection, data sharing, profile updating, and return of results. The platform already contains broad longitudinal wearable and patient-reported data, enabling retrospective and prospective genotype-phenotype analyses as enrollment expands. Pairing PD GENEration genotyping with engaged digital monitoring may lower geographic and specialty-access barriers and accelerate recruitment for gene-informed studies.

Conclusion: Continuous digital phenotyping combined with PD GENEration testing may extend the value of returned results by placing genotype within each participant’s own mobility trajectory while generating richer data for variant-specific research. This approach could help clarify how genetic profiles relate to progression heterogeneity, support more personalized feedback, and build more efficient trial-ready cohorts. Additional follow-up is needed before individualized prognostic reporting can be fully realized.

« Back to 2026 International Congress

MDS Abstracts - https://www.mdsabstracts.org/abstract/augmenting-pd-generation-genotyping-with-continuous-digital-monitoring-for-parkinsons-disease/