PGS Publication: PGP000360

Publication Information (EuropePMC)
Title Genome-Wide Polygenic Score Predicts Large Number of High Risk Individuals in Monogenic Undiagnosed Young Onset Parkinson's Disease Patients from India.
PubMed ID 35810474(Europe PMC)
doi 10.1002/adbi.202101326
Publication Date July 10, 2022
Journal Adv Biol (Weinh)
Author(s) Kukkle PL, Geetha TS, Chaudhary R, Sathirapongsasuti JF, Goyal V, Kandadai RM, Kumar H, Borgohain R, Mukherjee A, Oliver M, Sunil M, Mootor MFE, Kapil S, Mandloi N, Wadia PM, Yadav R, Desai S, Kumar N, Biswas A, Pal PK, Muthane UB, Das SK, Sakthivel Murugan SM, Peterson AS, Stawiski EW, Seshagiri S, Gupta R, Ramprasad VL, Prai PRAOI.
Released in PGS Catalog: Sept. 8, 2022

Associated Polygenic Score(s)

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Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
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Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported

External PGS Evaluated By This Publication

Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution
GWAS
Dev
Eval
 Scoring File (FTP Link)
PGS000903
(PRS1805_PD)
 PGP000235 |
Nalls MA et al. Lancet Neurol (2019)
 Parkinson's disease Parkinson disease 1,805
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000903/ScoringFiles/PGS000903.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

PGS Performance
Metric ID (PPM) 		Evaluated Score PGS Sample Set ID
(PSS) 		Performance Source Trait PGS Effect Sizes
(per SD change) 		Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
PPM014928 PGS000903
(PRS1805_PD)
 PSS009933|
South Asian Ancestry|
90 individuals
 PGP000360 |
Kukkle PL et al. Adv Biol (Weinh) (2022)
|Ext.		 Reported Trait: Young onset Parkinson’s disease — — Odds ratio, OR (high vs low risk): 1.92 — —

Evaluated Samples

PGS Sample Set ID
(PSS) 		Phenotype Definitions and Methods Participant Follow-up Time Sample Numbers Age of Study Participants Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
PSS009933 — — 90 individuals,
71.0 % Male samples
 Mean = 36.0 years South Asian
(Indian)		 — NR —