Predicted Trait | |
Reported Trait | Rheumatoid arthritis (CCP-negative) |
Mapped Trait(s) | ACPA-positive rheumatoid arthritis (EFO_0009459) |
Score Construction | |
PGS Name | G-PROB_Rapos |
Development Method | |
Name | Pruning and Thresholding (P+T) |
Parameters | SNPs with genome-wide significance (p<5e-8) from Immunobase, and LD pruning (r^2>0.8), and HLA variants incorporated in a probabilistic model that take into account predefined (sex specific) disease prevalence, and assuming a patient has one of the 5 possible arthritic diseases. See papers for detailed calculation of Gprob, and OR/weight shrinkage. |
Variants | |
Original Genome Build | GRCh38 |
Number of Variants | 114 |
Effect Weight Type | log(OR) |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000081 |
Citation (link to publication) | Knevel R et al. Sci Transl Med (2020) |
Ancestry Distribution | |
Source of Variant Associations (GWAS) | European: 88.2% East Asian: 11.8% 191,461 individuals (100%) |
PGS Evaluation |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
Europe PMC: 26053495 |
[
|
European | Immunochip |
Europe PMC: 24656864 |
[
|
European | BRASS, CANADA, EIRA, NARAC, WTCCC |
GWAS Catalog: GCST000679 Europe PMC: 20453842 |
25,708 individuals | European | NR |
GWAS Catalog: GCST002318 Europe PMC: 24390342 |
22,515 individuals | East Asian | NR |
GWAS Catalog: GCST002318 Europe PMC: 24390342 |
58,284 individuals | European | NR |
GWAS Catalog: GCST005569 Europe PMC: 23143596 |
47,580 individuals | European | NR |
GWAS Catalog: GCST000040 Europe PMC: 17554300 |
4,798 individuals | European | NR |
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 |
---|---|---|---|---|---|---|---|---|
PPM000577 | PSS000315| European Ancestry| 243 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.69 [0.63, 0.76] | — | RAN_Gprob | (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit) |
PPM000571 | PSS000314| European Ancestry| 245 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.75 [0.68, 0.81] | — | G-PROB_Raneg | (Setting II: Assigning patient diagnoses based on medical records) |
PPM000565 | PSS000322| Multi-ancestry (including European)| 1,211 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.69 [0.65, 0.72] | — | G-PROB_Raneg | (Setting I: Assigning patient diagnoses based on billing codes) |
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 |
---|---|---|---|---|---|---|---|---|
PSS000314 | Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 8.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
PSS000315 | Setting III: Based on ICD codes and final diagnosis in medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 7.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
PSS000322 | Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases | Median = 16.0 years | [ ,
43.0 % Male samples |
— | European, African unspecified, Asian unspecified, NR | Primarily European, African and Asian ancestry | eMERGE | — |