Predicted Trait | |
Reported Trait | Chronic kidney disease (CKD) |
Mapped Trait(s) | chronic kidney disease (EFO_0003884) |
Score Construction | |
PGS Name | lassosum.auto.GCST008059.CKD |
Development Method | |
Name | lassosum.auto |
Parameters | s0.2,lambda0.00335981828628378 |
Variants | |
Original Genome Build | GRCh38 |
Number of Variants | 15,373 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000517 |
Citation (link to publication) | Monti R et al. Am J Hum Genet (2024) |
Ancestry Distribution | |
Score Development/Training | European: 100% 13,496 individuals (100%) |
PGS Evaluation | European: 66.7% South Asian: 33.3% 6 Sample Sets |
Study Identifiers
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Sample Numbers
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Sample Ancestry
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Cohort(s)
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Phenotype Definitions & Methods
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Age of Study Participants
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Participant Follow-up Time
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Additional Ancestry Description
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Additional Sample/Cohort Information
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— | 13,496 individuals | European | UKB | — | — | — | — | — |
PGS Performance Metric ID (PPM) |
PGS Sample Set ID (PSS) |
Performance Source
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Trait
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PGS Effect Sizes (per SD change) |
Classification Metrics
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Other Metrics
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Covariates Included in the Model
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PGS Performance: Other Relevant Information |
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PPM019791 | PSS011216| European Ancestry| 199,274 individuals | PGP000517 | Monti R et al. Am J Hum Genet (2024) | Reported Trait: Chronic kidney disease or dialysis | OR: 1.21322 [1.17679487, 1.25076374] β: 0.19327 [0.16279453, 0.22375436] | AUROC: 0.5533 [0.54444893, 0.56214449] | R²: 0.0069 [0.00494085, 0.00942766] | 0 | beta = log(or)/sd_pgs |
PPM019792 | PSS011228| European Ancestry| 383,843 individuals | PGP000517 | Monti R et al. Am J Hum Genet (2024) | Reported Trait: Chronic kidney disease or dialysis | OR: 1.1667 [1.14294429, 1.19094092] β: 0.15418 [0.13360764, 0.17474368] | AUROC: 0.54321 [0.53730061, 0.54912911] | R²: 0.00439 [0.00324186, 0.00567621] | 0 | beta = log(or)/sd_pgs |
PPM019794 | PSS011239| South Asian Ancestry| 44,057 individuals | PGP000517 | Monti R et al. Am J Hum Genet (2024) | Reported Trait: Chronic kidney disease or dialysis | OR: 1.14563 [1.07984697, 1.21542573] β: 0.13596 [0.07681934, 0.19509441] | AUROC: 0.53841 [0.52122049, 0.55559138] | R²: 0.00361 [0.0010689, 0.00745491] | 0 | beta = log(or)/sd_pgs |
PPM019796 | PSS011255| European Ancestry| 66,865 individuals | PGP000517 | Monti R et al. Am J Hum Genet (2024) | Reported Trait: Chronic kidney disease or dialysis | OR: 1.17435 [1.13067765, 1.21971447] β: 0.16072 [0.12281715, 0.19861679] | AUROC: 0.54591 [0.53491235, 0.55689954] | R²: 0.00476 [0.00282819, 0.00739137] | 0 | beta = log(or)/sd_pgs |
PPM019798 | PSS011283| South Asian Ancestry| 9,326 individuals | PGP000517 | Monti R et al. Am J Hum Genet (2024) | Reported Trait: Chronic kidney disease or dialysis | OR: 1.17987 [1.07574801, 1.29405974] β: 0.1654 [0.07301624, 0.25778436] | AUROC: 0.54599 [0.51853554, 0.57344894] | R²: 0.00532 [0.000857, 0.01375478] | 0 | beta = log(or)/sd_pgs |
PPM019800 | PSS011269| European Ancestry| 90,274 individuals | PGP000517 | Monti R et al. Am J Hum Genet (2024) | Reported Trait: Chronic kidney disease or dialysis | β: 0.28325 [0.24886546, 0.31762566] OR: 1.32743 [1.28256946, 1.37386187] | AUROC: 0.5783 [0.56845467, 0.5881504] | R²: 0.01488 [0.01154959, 0.01893036] | 0 | beta = log(or)/sd_pgs |
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods
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Participant Follow-up Time
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Sample Numbers
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Age of Study Participants
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Sample Ancestry
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Additional Ancestry Description
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Cohort(s)
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Additional Sample/Cohort Information
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PSS011216 | — | — | [
| — | European | — | EB | — |
PSS011228 | N14_CHRONKIDNEYDIS, ICD10: N18, ICD9: 585, include dialysis (ICD10 Z992|Y841) | — | [
| — | European | — | FinnGen | — |
PSS011239 | — | — | [
| — | South Asian | — | G&H | — |
PSS011255 | — | — | [
| — | European | — | HUNT | — |
PSS011269 | — | — | [
| — | European | — | UKB | — |
PSS011283 | — | — | [
| — | South Asian | — | UKB | — |