Polygenic Score (PGS) ID: PGS000664

Predicted Trait
Reported Trait Rapid decline of glomerular filtration rate (GFR)
Mapped Trait(s) GFR change measurement (EFO_0006829)
Released in PGS Catalog: Jan. 7, 2021
Download Score FTP directory
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 GRS7_GFR
Development Method
Name Genome-wide significant SNPs, candidate gene based approach
Parameters p<5e-10 within ±500kB of lead variant
Variants
Original Genome Build GRCh37
Number of Variants 7
Effect Weight Type Unweighted
PGS Source
PGS Catalog Publication (PGP) ID PGP000124
Citation (link to publication) Gorski M et al. Kidney Int (2020)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 51.5%
Multi-ancestry (including European): 30.6%
  • European
  • African
  • Hispanic or Latin American
  • South Asian
East Asian: 15%
African: 1.3%
South Asian: 1.2%
Hispanic or Latin American: 0.4%
1,102,457 individuals (100%)
PGS Evaluation
European: 100%
3 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
Europe PMC: 33137338
[
  • 34,874 cases
  • , 107,090 controls
]
European, African American or Afro-Caribbean, Hispanic or Latin American, South Asian 26 cohorts
  • ADVANCE
  • ,ARIC
  • ,ASPS
  • ,BioMe
  • ,CHS
  • ,DIACORE
  • ,FINCAVAS
  • ,GCKD
  • ,JHS
  • ,KORA
  • ,LifeLines
  • ,MESA
  • ,MyCode
  • ,NESDA
  • ,POPGEN
  • ,PREVEND
  • ,RS
  • ,SHIP
  • ,SIMES
  • ,SINDI
  • ,SOLID-TIMI_52
  • ,STABILITY
  • ,UKB
  • ,Vanderbilt
  • ,YFS
  • ,deCODE
Europe PMC: 33137338
[
  • 19,901 cases
  • , 175,244 controls
]
European, African American or Afro-Caribbean, Hispanic or Latin American 19 cohorts
  • ADVANCE
  • ,AFTER_EU
  • ,ARIC
  • ,BioMe
  • ,DIACORE
  • ,ESTHER
  • ,FHS
  • ,GCKD
  • ,JHS
  • ,KORA
  • ,LifeLines
  • ,MDC-CC
  • ,MESA
  • ,MyCode
  • ,SOLID-TIMI_52
  • ,STABILITY
  • ,UKB
  • ,Vanderbilt
  • ,deCODE
GWAS Catalog: GCST008058
Europe PMC: 31152163
13,359 individuals South Asian 82 cohorts
  • AA-DHS
  • ,ADVANCE
  • ,AFTER_EU
  • ,AGES
  • ,AMISH
  • ,ARIC
  • ,ASPS
  • ,Airwave
  • ,BBJ
  • ,BES
  • ,BioMe
  • ,CHNS
  • ,CHRIS
  • ,CHS
  • ,CROATIA-KORCULA
  • ,CROATIA-SPLIT
  • ,CROATIA-VIS
  • ,Cilento
  • ,CoLaus
  • ,Czech_post-MONICA
  • ,DC
  • ,DIACORE
  • ,EGCUT
  • ,ERF
  • ,ESTHER
  • ,FHS
  • ,FINCAVAS
  • ,FINRISK
  • ,FamHS
  • ,GCKD
  • ,GS:SFHS
  • ,GSK
  • ,Generation_R
  • ,HANDLS
  • ,HYPERGENES
  • ,INGI-Carlantino
  • ,INGI-FVG
  • ,INGI-Val_Borbera
  • ,INTERVAL
  • ,JHS
  • ,JUPITER
  • ,KORA
  • ,LIFE-Adult
  • ,LIFE-Child
  • ,LIFE-HEART
  • ,LLFS
  • ,LOLIPOP
  • ,LURIC
  • ,LifeLines
  • ,Living-Biobank
  • ,MDC-CC
  • ,MESA
  • ,METSIM
  • ,MICROS
  • ,MyCode
  • ,NEO
  • ,NESDA
  • ,OGP
  • ,ORCADES
  • ,PIVUS
  • ,POPGEN
  • ,PREVEND
  • ,QIMR
  • ,RS
  • ,SCES
  • ,SCHS
  • ,SHIP
  • ,SIMES
  • ,SINDI
  • ,SKIPOGH
  • ,SOLID-TIMI_52
  • ,SORBS
  • ,SP2
  • ,STABILITY
  • ,TRAILS
  • ,TwinGene
  • ,ULSAM
  • ,VIKING
  • ,Vanderbilt
  • ,WGHS
  • ,YFS
  • ,deCODE
GWAS Catalog: GCST008058
Europe PMC: 31152163
567,460 individuals European 82 cohorts
  • AA-DHS
  • ,ADVANCE
  • ,AFTER_EU
  • ,AGES
  • ,AMISH
  • ,ARIC
  • ,ASPS
  • ,Airwave
  • ,BBJ
  • ,BES
  • ,BioMe
  • ,CHNS
  • ,CHRIS
  • ,CHS
  • ,CROATIA-KORCULA
  • ,CROATIA-SPLIT
  • ,CROATIA-VIS
  • ,Cilento
  • ,CoLaus
  • ,Czech_post-MONICA
  • ,DC
  • ,DIACORE
  • ,EGCUT
  • ,ERF
  • ,ESTHER
  • ,FHS
  • ,FINCAVAS
  • ,FINRISK
  • ,FamHS
  • ,GCKD
  • ,GS:SFHS
  • ,GSK
  • ,Generation_R
  • ,HANDLS
  • ,HYPERGENES
  • ,INGI-Carlantino
  • ,INGI-FVG
  • ,INGI-Val_Borbera
  • ,INTERVAL
  • ,JHS
  • ,JUPITER
  • ,KORA
  • ,LIFE-Adult
  • ,LIFE-Child
  • ,LIFE-HEART
  • ,LLFS
  • ,LOLIPOP
  • ,LURIC
  • ,LifeLines
  • ,Living-Biobank
  • ,MDC-CC
  • ,MESA
  • ,METSIM
  • ,MICROS
  • ,MyCode
  • ,NEO
  • ,NESDA
  • ,OGP
  • ,ORCADES
  • ,PIVUS
  • ,POPGEN
  • ,PREVEND
  • ,QIMR
  • ,RS
  • ,SCES
  • ,SCHS
  • ,SHIP
  • ,SIMES
  • ,SINDI
  • ,SKIPOGH
  • ,SOLID-TIMI_52
  • ,SORBS
  • ,SP2
  • ,STABILITY
  • ,TRAILS
  • ,TwinGene
  • ,ULSAM
  • ,VIKING
  • ,Vanderbilt
  • ,WGHS
  • ,YFS
  • ,deCODE
GWAS Catalog: GCST008058
Europe PMC: 31152163
4,961 individuals Hispanic or Latin American 82 cohorts
  • AA-DHS
  • ,ADVANCE
  • ,AFTER_EU
  • ,AGES
  • ,AMISH
  • ,ARIC
  • ,ASPS
  • ,Airwave
  • ,BBJ
  • ,BES
  • ,BioMe
  • ,CHNS
  • ,CHRIS
  • ,CHS
  • ,CROATIA-KORCULA
  • ,CROATIA-SPLIT
  • ,CROATIA-VIS
  • ,Cilento
  • ,CoLaus
  • ,Czech_post-MONICA
  • ,DC
  • ,DIACORE
  • ,EGCUT
  • ,ERF
  • ,ESTHER
  • ,FHS
  • ,FINCAVAS
  • ,FINRISK
  • ,FamHS
  • ,GCKD
  • ,GS:SFHS
  • ,GSK
  • ,Generation_R
  • ,HANDLS
  • ,HYPERGENES
  • ,INGI-Carlantino
  • ,INGI-FVG
  • ,INGI-Val_Borbera
  • ,INTERVAL
  • ,JHS
  • ,JUPITER
  • ,KORA
  • ,LIFE-Adult
  • ,LIFE-Child
  • ,LIFE-HEART
  • ,LLFS
  • ,LOLIPOP
  • ,LURIC
  • ,LifeLines
  • ,Living-Biobank
  • ,MDC-CC
  • ,MESA
  • ,METSIM
  • ,MICROS
  • ,MyCode
  • ,NEO
  • ,NESDA
  • ,OGP
  • ,ORCADES
  • ,PIVUS
  • ,POPGEN
  • ,PREVEND
  • ,QIMR
  • ,RS
  • ,SCES
  • ,SCHS
  • ,SHIP
  • ,SIMES
  • ,SINDI
  • ,SKIPOGH
  • ,SOLID-TIMI_52
  • ,SORBS
  • ,SP2
  • ,STABILITY
  • ,TRAILS
  • ,TwinGene
  • ,ULSAM
  • ,VIKING
  • ,Vanderbilt
  • ,WGHS
  • ,YFS
  • ,deCODE
GWAS Catalog: GCST008058
Europe PMC: 31152163
165,726 individuals East Asian 82 cohorts
  • AA-DHS
  • ,ADVANCE
  • ,AFTER_EU
  • ,AGES
  • ,AMISH
  • ,ARIC
  • ,ASPS
  • ,Airwave
  • ,BBJ
  • ,BES
  • ,BioMe
  • ,CHNS
  • ,CHRIS
  • ,CHS
  • ,CROATIA-KORCULA
  • ,CROATIA-SPLIT
  • ,CROATIA-VIS
  • ,Cilento
  • ,CoLaus
  • ,Czech_post-MONICA
  • ,DC
  • ,DIACORE
  • ,EGCUT
  • ,ERF
  • ,ESTHER
  • ,FHS
  • ,FINCAVAS
  • ,FINRISK
  • ,FamHS
  • ,GCKD
  • ,GS:SFHS
  • ,GSK
  • ,Generation_R
  • ,HANDLS
  • ,HYPERGENES
  • ,INGI-Carlantino
  • ,INGI-FVG
  • ,INGI-Val_Borbera
  • ,INTERVAL
  • ,JHS
  • ,JUPITER
  • ,KORA
  • ,LIFE-Adult
  • ,LIFE-Child
  • ,LIFE-HEART
  • ,LLFS
  • ,LOLIPOP
  • ,LURIC
  • ,LifeLines
  • ,Living-Biobank
  • ,MDC-CC
  • ,MESA
  • ,METSIM
  • ,MICROS
  • ,MyCode
  • ,NEO
  • ,NESDA
  • ,OGP
  • ,ORCADES
  • ,PIVUS
  • ,POPGEN
  • ,PREVEND
  • ,QIMR
  • ,RS
  • ,SCES
  • ,SCHS
  • ,SHIP
  • ,SIMES
  • ,SINDI
  • ,SKIPOGH
  • ,SOLID-TIMI_52
  • ,SORBS
  • ,SP2
  • ,STABILITY
  • ,TRAILS
  • ,TwinGene
  • ,ULSAM
  • ,VIKING
  • ,Vanderbilt
  • ,WGHS
  • ,YFS
  • ,deCODE
GWAS Catalog: GCST008058
Europe PMC: 31152163
13,842 individuals African American or Afro-Caribbean 82 cohorts
  • AA-DHS
  • ,ADVANCE
  • ,AFTER_EU
  • ,AGES
  • ,AMISH
  • ,ARIC
  • ,ASPS
  • ,Airwave
  • ,BBJ
  • ,BES
  • ,BioMe
  • ,CHNS
  • ,CHRIS
  • ,CHS
  • ,CROATIA-KORCULA
  • ,CROATIA-SPLIT
  • ,CROATIA-VIS
  • ,Cilento
  • ,CoLaus
  • ,Czech_post-MONICA
  • ,DC
  • ,DIACORE
  • ,EGCUT
  • ,ERF
  • ,ESTHER
  • ,FHS
  • ,FINCAVAS
  • ,FINRISK
  • ,FamHS
  • ,GCKD
  • ,GS:SFHS
  • ,GSK
  • ,Generation_R
  • ,HANDLS
  • ,HYPERGENES
  • ,INGI-Carlantino
  • ,INGI-FVG
  • ,INGI-Val_Borbera
  • ,INTERVAL
  • ,JHS
  • ,JUPITER
  • ,KORA
  • ,LIFE-Adult
  • ,LIFE-Child
  • ,LIFE-HEART
  • ,LLFS
  • ,LOLIPOP
  • ,LURIC
  • ,LifeLines
  • ,Living-Biobank
  • ,MDC-CC
  • ,MESA
  • ,METSIM
  • ,MICROS
  • ,MyCode
  • ,NEO
  • ,NESDA
  • ,OGP
  • ,ORCADES
  • ,PIVUS
  • ,POPGEN
  • ,PREVEND
  • ,QIMR
  • ,RS
  • ,SCES
  • ,SCHS
  • ,SHIP
  • ,SIMES
  • ,SINDI
  • ,SKIPOGH
  • ,SOLID-TIMI_52
  • ,SORBS
  • ,SP2
  • ,STABILITY
  • ,TRAILS
  • ,TwinGene
  • ,ULSAM
  • ,VIKING
  • ,Vanderbilt
  • ,WGHS
  • ,YFS
  • ,deCODE

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
PPM016131 PSS010042|
European Ancestry|
1,601 individuals
PGP000396 |
Koraishy FM et al. BMC Nephrol (2022)
|Ext.
Reported Trait: Baseline eGFR β: -1.0 [-1.59, -0.41] Age, gender, education, the first ten genetic principal components, exposure severity
PPM001371 PSS000600|
European Ancestry|
11,440 individuals
PGP000124 |
Gorski M et al. Kidney Int (2020)
Reported Trait: Rapid decline of glomerular filtration rate estimated from creatinine (CKDi25) Odds Ratio (OR, high vs. low risk): 1.29 [1.06, 1.57] Age, sex and baseline eGFRcrea
PPM001372 PSS000599|
European Ancestry|
3,447 individuals
PGP000124 |
Gorski M et al. Kidney Int (2020)
Reported Trait: Acute kidney injury Odds Ratio (OR, high vs. low risk): 1.2 [1.08, 1.33] Matching variables (age-group and sex), quantitative age
PPM016132 PSS010042|
European Ancestry|
1,601 individuals
PGP000396 |
Koraishy FM et al. BMC Nephrol (2022)
|Ext.
Reported Trait: Chronic kidney disease stage OR: 1.18 [1.05, 1.32] Age, gender, education, the first ten genetic principal components, exposure severity
PPM016133 PSS010042|
European Ancestry|
1,601 individuals
PGP000396 |
Koraishy FM et al. BMC Nephrol (2022)
|Ext.
Reported Trait: eGFR Decline (<= -1.00 ml/min/1.73m2/year) OR: 1.14 [1.01, 1.28] Age, gender, education, the first ten genetic principal components, exposure severity

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
PSS000600 CKDi25 cases defined as >25% eGFRcrea decline during follow-up together with a movement from eGFRcrea≥60 mL/min/1.73m^2 at baseline to eGFR<60 mL/min/1.73m^2 at follow up compared to CKDi25 controls defined as eGFRcrea≥60 mL/min/1.73m^2. High risk groups had 8-14 adverse alleles. Low risk groups had 0-5 adverse alleles.
[
  • 448 cases
  • , 10,992 controls
]
European DIACORE, KORA, UKB 87.61% overlap between the CKDi25 GWAS cohort and this dataset.
PSS010042 1,601 individuals,
93.0 % Male samples
Mean = 54.12 years European NR WTC
PSS000599 Cases: ICD 10 code N17. Controls: no ICD10 code N17, frequency-matched by age-group and sex
[
  • 1,013 cases
  • , 2,434 controls
]
European UKB Possible overlap between GWAS cohorts and this dataset.