Polygenic Score (PGS) ID: PGS004820

Predicted Trait
Reported Trait Rheumatoid Arthritis
Mapped Trait(s) rheumatoid arthritis (EFO_0000685)
Released in PGS Catalog: March 28, 2024
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Terms and Licenses
PGS obtained from the Catalog should be cited appropriately, and used in accordance with any licensing restrictions set by the authors. See EBI Terms of Use (https://www.ebi.ac.uk/about/terms-of-use/) for additional details.

Score Details

Score Construction
PGS Name RA_PRSmixPlus_sas
Development Method
Name PRSmixPlus
Parameters power=0.95; p=0.05
Variants
Original Genome Build hg38
Number of Variants 6,580,837
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000604
Citation (link to publication) Truong B et al. Cell Genom (2024)
Ancestry Distribution
Score Development/Training
South Asian: 100%
35,350 individuals (100%)
PGS Evaluation
South Asian: 100%
1 Sample Sets

Development Samples

Score Development/Training
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Study Identifiers
Sample Numbers
Sample Ancestry
Cohort(s)
Phenotype Definitions & Methods
Age of Study Participants
Participant Follow-up Time
Additional Ancestry Description
Additional Sample/Cohort Information
35,350 individualsSouth AsianG&HAny occurrence of ICD-10 M05-M06 OR SNOMED codes 9631008, 10713006, 23060008, 28880005, 33719002, 57... 160007, 69896004, 84017003, 161567008, 164454008, 164456005, 193180002, 193250002, 195136004, 201764007, 201766009, 201767000, 201768005, 201769002, 201770001, 201771002, 201772009, 201773004, 201774005, 201775006, 201775004, 201776007, 201777003, 201778008, 201779000, 239791005, 239792003, 2399308, 239920006, 201780002, 201781003, 201783000, 201784006, 201785007, 201791009, 287006005, 308143008, 398640008, 398726004, 400054000, 429192004, 441870009, 763259004, 231041000000107, 847261000000104, 882321000000105, 882401000000106, 882421000000102, 882441000000109, 882461000000105, 882481000000101Show more
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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.

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PGS Performance
Metric ID (PPM)
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
PPM021045PSS011474|
South Asian Ancestry|
8,837 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Rheumatoid ArthritisIncremental R2 (Full model versus model with only covariates): 0.009 [0.005, 0.013]age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10Incremental R2 (Full model versus model with only covariates)
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Evaluated Samples

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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
PSS0114748,837 individualsSouth AsianG&H
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