Abstract

Fox Insight is an online, longitudinal health study of people with and without Parkinson’s disease with targeted enrollment set to at least 125,000 individuals. Fox Insight data is a rich data set facilitating discovery, validation, and reproducibility in Parkinson’s disease research. The dataset is generated through routine longitudinal assessments (health and medical questionnaires evaluated at regular cycles), one-time questionnaires about environmental exposure and healthcare preferences, and genetic data collection. Qualified Researchers can explore, analyze, and download patient-reported outcomes (PROs) data and Parkinson’s disease- related genetic variants at https://foxden.michaeljfox.org. The full Fox Insight genetic data set, including approximately 600,000 single nucleotide polymorphisms (SNPs), can be requested separately with institutional review and are described outside of this data descriptor.

Measurement(s)

Parkinson’s disease • Patient Reported Outcome • SNP

Technology Type(s)

questionnaire • crowd sourced data generation • single-nucleotide polymorphism analysis

Factor Type(s)

cohort • data acquisition source • temporal interval • environmental risk factor • mds updrs • geriatric depression scale • medical history • family neurological history • sleep disorder • handedness • demographics • physical activities • caregiver • daily living • LRRK2 • APOE • SNCA • GBA

Sample Characteristic - Organism

Homo sapiens

Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.11794011

Details

Title
Fox Insight collects online, longitudinal patient-reported outcomes and genetic data on Parkinson’s disease
Author
Smolensky Luba 1   VIAFID ORCID Logo  ; Amondikar Ninad 1 ; Crawford, Karen 2 ; Neu, Scott 2 ; Kopil, Catherine M 1 ; Daeschler Margaret 1 ; Riley, Lindsey 1 ; Agee, Michelle 3 ; Alipanahi Babak 3 ; Auton, Adam 3 ; Bell, Robert K 3 ; Bryc Katarzyna 3 ; Cannon, Paul 3 ; Clarke, Sarah 3 ; Elson, Sarah L 3 ; Fonseca, Peter 3 ; Fontanillas Pierre 3 ; Furlotte, Nicholas A 3 ; Hicks, Barry 3 ; Hinds, David A 3   VIAFID ORCID Logo  ; Heilbron, Karl 3 ; Huber, Karen E 3 ; Jewett, Ethan M 3 ; Jiang Yunxuan 3 ; Kleinman, Aaron 3 ; Keng-Han, Lin 3 ; Litterman, Nadia K 3 ; Luff, Marie 3 ; McIntyre, Matthew H 3 ; McManus, Kimberly F 3 ; Mountain, Joanna L 3 ; Noblin, Elizabeth S 3 ; Northover Carrie A M 3 ; Pitts, Steven J 3   VIAFID ORCID Logo  ; David, Poznik G 3 ; Rowbotham, Helen M 3   VIAFID ORCID Logo  ; Fah, Sathirapongsasuti J 3 ; Schloetter Madeleine 3 ; Shelton, Janie F 3 ; Shringarpure Suyash 3 ; Tian, Chao 3 ; Tung, Joyce Y 3 ; Vacic Vladimir 3 ; Wang, Xin 3 ; Wilson, Catherine H 3 ; Wojcicki, Anne 3 ; Yu, Linda P, C 3 ; Brown, Ethan 4 ; Toga, Arthur W 2 ; Tanner, Caroline 4 

1  The Michael J. Fox Foundation for Parkinson’s disease Research, Research Partnerships, New York, USA (GRID:grid.430781.9) (ISNI:0000 0004 5907 0388) 
2  Laboratory for Neuro Imaging, Mark and Mary Stevens Neuroimaging and Informatics Institute, Ken School of Medicine of USC, University of Southern California, Los Angeles, USA (GRID:grid.42505.36) (ISNI:0000 0001 2156 6853) 
3  23andMe, Inc. 899 W Evelyn Ave, Mountain View, USA (GRID:grid.420283.f) (ISNI:0000 0004 0626 0858) 
4  University of California San Francisco, School of Medicine, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41597-020-0401-2
ProQuest document ID
2489908276
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.