PGS Publication: PGP000550

Publication Information (EuropePMC)
Title Association of blood pressure with incident diabetic microvascular complications among diabetic patients: Longitudinal findings from the UK Biobank.
PubMed ID 36960684(Europe PMC)
doi 10.7189/jogh.13.04027
Publication Date March 24, 2023
Journal J Glob Health
Author(s) Li C, Yu H, Zhu Z, Shang X, Huang Y, Sabanayagam C, Yang X, Liu L.
Released in PGS Catalog: Jan. 11, 2024

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
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Ancestry legend
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Multi-ancestry (excluding European)
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Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
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)
PGS002257
(GRS901_SBP)
 PGP000283 |
Evangelou E et al. Nat Genet (2018)
 Systolic blood pressure systolic blood pressure 884
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002257/ScoringFiles/PGS002257.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
PPM020416 PGS002257
(GRS901_SBP)
 PSS011352|
Multi-ancestry (including European)|
23,030 individuals
 PGP000550 |
Li C et al. J Glob Health (2023)
|Ext.		 Reported Trait: Incident diabetic retinopathy — — Hazard ratio (HR, high vs low PRS tertile): 1.48 [1.21, 1.82] Age, sex, body mass index, ethnicity, Townsend index, smoking status, alcohol consumption, glycosylated haemoglobin, duration of diabetes, anti-hyperglycaemic medication, anti-hypertensive medication, low-density lipoprotein cholesterol —
PPM020417 PGS002257
(GRS901_SBP)
 PSS011352|
Multi-ancestry (including European)|
23,030 individuals
 PGP000550 |
Li C et al. J Glob Health (2023)
|Ext.		 Reported Trait: Incident diabetic kidney disease — — Hazard ratio (HR, high vs low PRS tertile): 2.8 [1.57, 4.98] Age, sex, body mass index, ethnicity, Townsend index, smoking status, alcohol consumption, glycosylated haemoglobin, duration of diabetes, anti-hyperglycaemic medication, anti-hypertensive medication, estimated glomerular filtration rate —
PPM020418 PGS002257
(GRS901_SBP)
 PSS011352|
Multi-ancestry (including European)|
23,030 individuals
 PGP000550 |
Li C et al. J Glob Health (2023)
|Ext.		 Reported Trait: Incident diabetic neuropathy — — Hazard ratio (HR, high vs low PRS tertile): 1.04 [0.77, 1.42] Age, sex, body mass index, ethnicity, Townsend index, smoking status, alcohol consumption, glycosylated haemoglobin, duration of diabetes, anti-hyperglycaemic medication, anti-hypertensive medication, estimated glomerular filtration rate —
PPM020415 PGS002257
(GRS901_SBP)
 PSS011352|
Multi-ancestry (including European)|
23,030 individuals
 PGP000550 |
Li C et al. J Glob Health (2023)
|Ext.		 Reported Trait: Incident diabetic microvascular complications — — Hazard ratio (HR, high vs low PRS tertile): 1.32 [1.11, 1.56] Age, sex, body mass index, ethnicity, Townsend index, smoking status, alcohol consumption, glycosylated haemoglobin, duration of diabetes, anti-hyperglycaemic medication, anti-hypertensive medication, low-density lipoprotein cholesterol and estimated glomerular filtration rate —

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
PSS011352 — — 19,883 individuals — European — UKB Median age of full combined ancestry cohort = 61 years; mean follow-up time of full combined ancestry cohort = 11.95 years
PSS011352 — — 3,147 individuals — Not reported — UKB Median age of full combined ancestry cohort = 61 years; mean follow-up time of full combined ancestry cohort = 11.95 years