PGS Publication: PGP000540

Publication Information (EuropePMC)
Title Ultra-processed food consumption, genetic predisposition, and the risk of gout: the UK Biobank study.
PubMed ID 37129545(Europe PMC)
doi 10.1093/rheumatology/kead196
Publication Date May 2, 2023
Journal Rheumatology (Oxford)
Author(s) Zhang T, Xu X, Chang Q, Lv Y, Zhao Y, Niu K, Chen L, Xia Y.
Released in PGS Catalog: Dec. 15, 2023

Associated Polygenic Score(s)

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Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
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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)
PGS002307
(PRS33_gout)
PGP000329 |
Zhang Y et al. BMC Med (2022)
Gout gout 33
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002307/ScoringFiles/PGS002307.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
PPM020291 PGS002307
(PRS33_gout)
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
PSS011325 181,559 individuals European UKB