A Remote Longitudinal Observational Study of Individuals at Genetic Risk for Parkinson Disease: Baseline Results.

Neurol Genet

Center for Health + Technology (S.J.-R., T.L.M., P.A., J.S., M.P., S.S., R.W., A.S., M.P.M., D.K., E.F.A., R.G.H., E.R.D., R.B.S.), University of Rochester Medical Center, NY; Department of Brain and Psychological Sciences (T.L.M.), Boston University, MA; Department of Neurology (P.A., B.V., M.P.M., K.B., D.K., E.F.A., R.G.H., E.R.D., R.B.S.), University of Rochester Medical Center, NY; 23andMe, Inc. (P.C., H.M.R., D.C., E.C.), Sunnyvale, CA; Department of Neurology (K.A.), Westchester Medical Center, Poughkeepsie, NY; USA Department of Biostatistics and Computational Biology (M.P.M.), University of Rochester Medical Center, NY; Department of Neurology (R.N.A.), Columbia University, New York; Eli Lilly and Company (K.B.), Indianapolis, IN; Weill Institute for Neurosciences (C.T.), University of California, San Francisco; Valley Oaks Health (R.W.-E.), Lafayette, IN; and Department of Neurology and Neurogenetics (E.F.A.), Kennedy Krieger Institute, Baltimore, MD.

Published: October 2022

Background And Objectives: To recruit and characterize a national cohort of individuals who have a genetic variant ( G2019S) that increases risk of Parkinson disease (PD), assess participant satisfaction with a decentralized, remote research model, and evaluate interest in future clinical trials.

Methods: In partnership with 23andMe, Inc., a personal genetics company, G2019S carriers with and without PD were recruited to participate in an ongoing 36-month decentralized, remote natural history study. We examined concordance between self-reported and clinician-determined PD diagnosis. We applied the Movement Disorder Society Prodromal Parkinson's Disease Criteria and asked investigators to identify concern for parkinsonism to distinguish participants with probable prodromal PD. We compared baseline characteristics of G2019S carriers with PD, with prodromal PD, and without PD.

Results: Over 15 months, we enrolled 277 G2019S carriers from 34 states. At baseline, 60 had self-reported PD (mean [SD] age 67.8 years [8.4], 98% White, 52% female, 80% Ashkenazi Jewish, and 67% with a family history of PD), and 217 did not (mean [SD] age 53.7 years [15.1], 95% White, 59% female, 73% Ashkenazi Jewish, and 57% with a family history of PD). Agreement between self-reported and clinician-determined PD status was excellent (κ = 0.94, 95% confidence interval 0.89-0.99). Twenty-four participants had prodromal PD; 9 met criteria for probable prodromal PD and investigators identified concern for parkinsonism in 20 cases. Compared with those without prodromal PD, participants with prodromal PD were older (63.9 years [9.0] vs 51.9 years [15.1], < 0.001), had higher modified Movement Disorders Society-Unified Parkinson's Disease Rating Scale motor scores (5.7 [4.3] vs 0.8 [2.1], < 0.001), and had higher Scale for Outcomes in PD for Autonomic Symptoms scores (11.5 [6.2] vs 6.9 [5.7], = 0.002). Two-thirds of participants enrolled were new to research, 97% were satisfied with the overall study, and 94% of those without PD would participate in future preventive clinical trials.

Discussion: An entirely remote national cohort of G2019S carriers was recruited from a single site. This study will prospectively characterize a large G2019S cohort, refine a new model of clinical research, and engage new research participants willing to participate in future therapeutic trials.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372873PMC
http://dx.doi.org/10.1212/NXG.0000000000200008DOI Listing

Publication Analysis

Top Keywords

g2019s carriers
16
individuals genetic
8
risk parkinson
8
parkinson disease
8
national cohort
8
decentralized remote
8
carriers recruited
8
self-reported clinician-determined
8
parkinson's disease
8
concern parkinsonism
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!