{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Heilbron K"],"funding":["Barts Charity","U.S. Department of Health &amp; Human Services | NIH | National Institute on Aging","Michael J. Fox Foundation for Parkinson&apos;s Research"],"pagination":["4"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6437217"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["5"],"pubmed_abstract":["In order to systematically describe the Parkinson's disease phenome, we performed a series of 832 cross-sectional case-control analyses in a large database. Responses to 832 online survey-based phenotypes including diseases, medications, and environmental exposures were analyzed in 23andMe research participants. For each phenotype, survey respondents were used to construct a cohort of Parkinson's disease cases and age-matched and sex-matched controls, and an association test was performed using logistic regression. Cohorts included a median of 3899 Parkinson's disease cases and 49,808 controls, all of European ancestry. Highly correlated phenotypes were removed and the novelty of each significant association was systematically assessed (assigned to one of four categories: known, likely, un"],"journal":["NPJ Parkinson's disease"],"pubmed_title":["The Parkinson's phenome-traits associated with Parkinson's disease in a broadly phenotyped cohort."],"pmcid":["PMC6437217"],"funding_grant_id":["MJFF12737","MGU0364","Z01-AG000949-02"],"pubmed_authors":["Fontanillas P","Shringarpure S","Heilbron K","Northover CAM","Vacic V","Hinds DA","Bell RK","Shelton JF","Auton A","23andMe Research Team","Agee M","Noblin ES","Furlotte NA","Alipanahi B","McIntyre MH","Sazonova OV","Noyce AJ","McCreight JC","Wilson CH","Pitts SJ","Mountain JL","Tian C","Cannon P","Elson SL","Sathirapongsasuti JF","Huber KE","Litterman NK","Kleinman A","Tung JY","Bryc K","Nalls MA"],"additional_accession":[]},"is_claimable":false,"name":"The Parkinson's phenome-traits associated with Parkinson's disease in a broadly phenotyped cohort.","description":"In order to systematically describe the Parkinson's disease phenome, we performed a series of 832 cross-sectional case-control analyses in a large database. Responses to 832 online survey-based phenotypes including diseases, medications, and environmental exposures were analyzed in 23andMe research participants. For each phenotype, survey respondents were used to construct a cohort of Parkinson's disease cases and age-matched and sex-matched controls, and an association test was performed using logistic regression. Cohorts included a median of 3899 Parkinson's disease cases and 49,808 controls, all of European ancestry. Highly correlated phenotypes were removed and the novelty of each significant association was systematically assessed (assigned to one of four categories: known, likely, un","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019","modification":"2025-04-19T12:30:15.715Z","creation":"2019-08-04T07:23:42Z"},"accession":"S-EPMC6437217","cross_references":{"pubmed":["30937360"],"doi":["10.1038/s41531-019-0077-5"]}}