PGS Catalog - PGS003377 / Estimated glomerular filtration rate (Polygenic Score)

Polygenic Score (PGS) ID: PGS003377

Predicted Trait
Reported Trait	Estimated glomerular filtration rate
Mapped Trait(s)	glomerular filtration rate (EFO_0005208)

Released in PGS Catalog: Dec. 20, 2022

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Terms and Licenses

PGS obtained from the Catalog should be cited appropriately, and used in accordance with any licensing restrictions set by the authors. See EBI Terms of Use (https://www.ebi.ac.uk/about/terms-of-use/) for additional details.

Score Details

Score Construction
PGS Name	eGFRldpred_PGS
Development Method
Name	LDpred
Parameters	NR
Variants
Original Genome Build	GRCh37
Number of Variants	1,496,254
Effect Weight Type	beta

PGS Source
PGS Catalog Publication (PGP) ID	PGP000411
Citation (link to publication)	Steinbrenner I et al. Kidney Int (2022)

Ancestry Distribution
Source of Variant Associations (GWAS)	Not Reported: 100% 406,350 individuals (100%)
Score Development/Training	Not Reported: 100% 451,508 individuals (100%)
PGS Evaluation	European: 100% 1 Sample Sets

Development Samples

Source of Variant Associations (GWAS)

Study Identifiers	Sample Numbers	Sample Ancestry	Cohort(s)
—	406,350 individuals	Not reported	UKB

Score Development/Training

Study Identifiers	Sample Numbers	Sample Ancestry	Cohort(s)	Phenotype Definitions & Methods	Age of Study Participants	Participant Follow-up Time	Additional Ancestry Description	Additional Sample/Cohort Information
—	451,508 individuals	Not reported	UKB	—	—	—	—	—

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
PPM016234	PSS010065\| European Ancestry\| 4,924 individuals	PGP000411 \| Steinbrenner I et al. Kidney Int (2022)	Reported Trait: Death	HR: 1.11 [1.03, 1.2]	—	—	Age, sex, PC1, PC2, baseline eGFR, log(UACR), diabetes	—
PPM016235	PSS010065\| European Ancestry\| 4,924 individuals	PGP000411 \| Steinbrenner I et al. Kidney Int (2022)	Reported Trait: 3P-MACE	HR: 1.15 [1.06, 1.25]	—	—	Age, sex, PC1, PC2, baseline eGFR, log(UACR), diabetes	—
PPM016237	PSS010065\| European Ancestry\| 4,924 individuals	PGP000411 \| Steinbrenner I et al. Kidney Int (2022)	Reported Trait: Cerebral hemorrhage	HR: 1.06 [0.72, 1.55]	—	—	Age, sex, PC1, PC2, baseline eGFR, log(UACR), diabetes	—
PPM016238	PSS010065\| European Ancestry\| 4,924 individuals	PGP000411 \| Steinbrenner I et al. Kidney Int (2022)	Reported Trait: Stroke	HR: 1.1 [0.95, 1.28]	—	—	Age, sex, PC1, PC2, baseline eGFR, log(UACR), diabetes	—
PPM016233	PSS010065\| European Ancestry\| 4,924 individuals	PGP000411 \| Steinbrenner I et al. Kidney Int (2022)	Reported Trait: Kidney failure	HR: 1.12 [1.02, 1.22]	—	—	Age, sex, PC1, PC2, baseline eGFR, log(UACR), diabetes	—
PPM016236	PSS010065\| European Ancestry\| 4,924 individuals	PGP000411 \| Steinbrenner I et al. Kidney Int (2022)	Reported Trait: Acute myocardial infarction	HR: 1.16 [1.02, 1.32]	—	—	Age, sex, PC1, PC2, baseline eGFR, log(UACR), diabetes	—

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
PSS010065	—	—	4,924 individuals, 60.0 % Male samples	Mean = 60.1 years	European	—	GCKD	—