Polygenic Score (PGS) ID: PGS000199

Predicted Trait
Reported Trait Gout
Mapped Trait(s) gout (EFO_0004274)
Released in PGS Catalog: June 3, 2020
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Score Details

Score Construction
PGS Name G-PROB_Gout
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 29
Effect Weight Type NR
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: 100%
110,347 individuals (100%)
PGS Evaluation
European: 66.7%
Multi-ancestry (including European): 33.3%
  • European
  • African
  • Additional Asian Ancestries
  • Not Reported
3 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
GWAS Catalog: GCST001791
Europe PMC: 23263486
 110,347 individuals European NR

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) 		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
PPM000582 PSS000311|
European Ancestry|
243 individuals
 PGP000081 |
Knevel R et al. Sci Transl Med (2020)
 Reported Trait: Gout diagnosis in patient with arthritis — AUROC: 0.85 [0.8, 0.91] — — (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit)
PPM000576 PSS000310|
European Ancestry|
245 individuals
 PGP000081 |
Knevel R et al. Sci Transl Med (2020)
 Reported Trait: Gout diagnosis in patient with arthritis — AUROC: 0.82 [0.73, 0.94] — — (Setting II: Assigning patient diagnoses based on medical records)
PPM000570 PSS000320|
Multi-ancestry (including European)|
1,211 individuals
 PGP000081 |
Knevel R et al. Sci Transl Med (2020)
 Reported Trait: Gout diagnosis in patient with arthritis — AUROC: 0.78 [0.75, 0.8] — — (Setting I: Assigning patient diagnoses based on billing codes)

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
PSS000311 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
[
  • 22 cases
  • , 221 controls
]
,
32.0 % Male samples
 — European — PHB —
PSS000320 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
[
  • 387 cases
  • , 824 controls
]
,
43.0 % Male samples
 — European, African unspecified, Asian unspecified, NR Primarily European, African and Asian ancestry eMERGE —
PSS000310 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 cases
  • , 213 controls
]
,
32.0 % Male samples
 — European — PHB —