Polygenic Score (PGS) ID: PGS002307

Predicted Trait
Reported Trait Gout
Mapped Trait(s) gout (EFO_0004274)
Released in PGS Catalog: June 9, 2022
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Score Details

Score Construction
PGS Name PRS33_gout
Development Method
Name Genome-wide significant variants
Parameters r2<0.01
Variants
Original Genome Build NR
Number of Variants 33
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000329
Citation (link to publication) Zhang Y et al. BMC Med (2022)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 100%
69,374 individuals (100%)
PGS Evaluation
European: 100%
2 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
GWAS Catalog: GCST001790
Europe PMC: 23263486
 69,374 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
PPM013045 PSS009665|
European Ancestry|
416,481 individuals
 PGP000329 |
Zhang Y et al. BMC Med (2022)
 Reported Trait: Incident gout — — Hazard Ratio (HR, highest vs. lowest tertile): 1.77 [1.66, 1.89] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI) —
PPM013046 PSS009665|
European Ancestry|
416,481 individuals
 PGP000329 |
Zhang Y et al. BMC Med (2022)
 Reported Trait: Incident gout without cardiometabolic diseases — — Hazard Ratio (HR, highest vs. lowest tertile): 4.94 [3.91, 6.23] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), Unfavorable lifestyle —
PPM013047 PSS009665|
European Ancestry|
416,481 individuals
 PGP000329 |
Zhang Y et al. BMC Med (2022)
 Reported Trait: Incident gout with cardiometabolic diseases — — Hazard Ratio (HR, highest vs. lowest tertile): 3.0 [2.62, 3.43] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), Unfavorable lifestyle —
PPM013048 PSS009665|
European Ancestry|
416,481 individuals
 PGP000329 |
Zhang Y et al. BMC Med (2022)
 Reported Trait: Incident gout — — Hazard Ratio (HR, middle vs. lowest tertile): 1.53 [1.35, 1.74] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), favorable lifestyle —
PPM013049 PSS009665|
European Ancestry|
416,481 individuals
 PGP000329 |
Zhang Y et al. BMC Med (2022)
 Reported Trait: Incident gout — — Hazard Ratio (HR, middle vs. lowest tertile): 2.39 [2.12, 2.7] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), unfavorable lifestyle —
PPM013050 PSS009665|
European Ancestry|
416,481 individuals
 PGP000329 |
Zhang Y et al. BMC Med (2022)
 Reported Trait: Incident gout — — Hazard Ratio (HR, highest vs. lowest tertile): 1.98 [1.75, 2.24] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), favorable lifestyle —
PPM013044 PSS009665|
European Ancestry|
416,481 individuals
 PGP000329 |
Zhang Y et al. BMC Med (2022)
 Reported Trait: Incident gout — — Hazard Ratio (HR, middle vs. lowest tertile): 1.44 [1.35, 1.54] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI) —
PPM013051 PSS009665|
European Ancestry|
416,481 individuals
 PGP000329 |
Zhang Y et al. BMC Med (2022)
 Reported Trait: Incident gout — — Hazard Ratio (HR, highest vs. lowest tertile): 3.13 [2.79, 3.52] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), unfavorable lifestyle —
PPM020291 PSS011325|
European Ancestry|
181,559 individuals
 PGP000540 |
Zhang T et al. Rheumatology (Oxford) (2023)
|Ext.		 Reported Trait: Incident gout with ultraprocessed food consumption — — Hazard ratio (HR, high UPF consumption and highest PRS quartile vs. low UPF consumption and lowest PRS quartile): 1.9 [1.39, 2.6] age, sex, BMI, education levels, Townsend deprivation index, physical activity, smoking status, drinking status, family history of diseases (hypertension, cardiovascular disease, and diabetes), healthy diet score, ultra-processed food consumption, medical history of hypertension, diabetes, kidney disease, cancer, and cardiovascular disease, first ten genetic principal components and genotype measurement batch —

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
PSS009665 Gout was ascertained based on information from self- report (Data-Field 20002, code: 1466), medical records (ICD-10 codes: M10.0, M10.2, M10.3, M10.4, M10.9), and death records (ICD-10 codes: M10.0, M10.2, M10.3, M10.4, M10.9) Median = 12.1 years
[
  • 6,206 cases
  • , 410,275 controls
]
,
45.9 % Male samples
 Mean = 56.6 years
Sd = 8.0 years		 European — UKB —
PSS011325 — — 181,559 individuals — European — UKB —