Publication Information (EuropePMC) | |
Title | Trans-ancestry polygenic models for the prediction of LDL blood levels: an analysis of the United Kingdom Biobank and Taiwan Biobank. |
PubMed ID | 38075701(Europe PMC) |
doi | 10.3389/fgene.2023.1286561 |
Publication Date | Nov. 23, 2023 |
Journal | Front Genet |
Author(s) | Hassanin E, Lee KH, Hsieh TC, Aldisi R, Lee YL, Bobbili D, Krawitz P, May P, Chen CY, Maj C. |
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) |
---|---|---|---|---|---|---|
PGS003974 (AFR_without-UKB_LDL) |
PGP000514 | Hassanin E et al. Front Genet (2023) |
LDL cholesterol | low density lipoprotein cholesterol measurement | 886,257 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003974/ScoringFiles/PGS003974.txt.gz |
PGS003977 (SAS_without-UKB_LDL) |
PGP000514 | Hassanin E et al. Front Genet (2023) |
LDL cholesterol | low density lipoprotein cholesterol measurement | 826,248 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003977/ScoringFiles/PGS003977.txt.gz |
PGS003975 (EAS_without-UKB_LDL) |
PGP000514 | Hassanin E et al. Front Genet (2023) |
LDL cholesterol | low density lipoprotein cholesterol measurement | 862,971 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003975/ScoringFiles/PGS003975.txt.gz |
PGS003976 (EUR_without-UKB_LDL) |
PGP000514 | Hassanin E et al. Front Genet (2023) |
LDL cholesterol | low density lipoprotein cholesterol measurement | 821,134 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003976/ScoringFiles/PGS003976.txt.gz |
PGS003978 (meta_without-UKB_LDL) |
PGP000514 | Hassanin E et al. Front Genet (2023) |
LDL cholesterol | low density lipoprotein cholesterol measurement | 348,056 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003978/ScoringFiles/PGS003978.txt.gz |
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 |
---|---|---|---|---|---|---|---|---|---|
PPM019138 | PGS003976 (EUR_without-UKB_LDL) |
PSS011207| European Ancestry| 423,596 individuals |
PGP000514 | Hassanin E et al. Front Genet (2023) |
Reported Trait: LDL level | — | — | R²: 10.6 % | — | — |
PPM019139 | PGS003978 (meta_without-UKB_LDL) |
PSS011207| European Ancestry| 423,596 individuals |
PGP000514 | Hassanin E et al. Front Genet (2023) |
Reported Trait: LDL level | — | — | R²: 10.5 % | — | — |
PPM019140 | PGS003975 (EAS_without-UKB_LDL) |
PSS011203| East Asian Ancestry| 1,480 individuals |
PGP000514 | Hassanin E et al. Front Genet (2023) |
Reported Trait: LDL level | — | — | R²: 8.6 % | — | — |
PPM019141 | PGS003978 (meta_without-UKB_LDL) |
PSS011203| East Asian Ancestry| 1,480 individuals |
PGP000514 | Hassanin E et al. Front Genet (2023) |
Reported Trait: LDL level | — | — | R²: 7.8 % | — | — |
PPM019142 | PGS003975 (EAS_without-UKB_LDL) |
PSS011201| East Asian Ancestry| 68,978 individuals |
PGP000514 | Hassanin E et al. Front Genet (2023) |
Reported Trait: LDL level | — | — | R²: 9.3 % | — | — |
PPM019143 | PGS003976 (EUR_without-UKB_LDL) |
PSS011201| East Asian Ancestry| 68,978 individuals |
PGP000514 | Hassanin E et al. Front Genet (2023) |
Reported Trait: LDL level | — | — | R²: 4.5 % | — | — |
PPM019144 | PGS003978 (meta_without-UKB_LDL) |
PSS011201| East Asian Ancestry| 68,978 individuals |
PGP000514 | Hassanin E et al. Front Genet (2023) |
Reported Trait: LDL level | — | — | R²: 6.7 % | — | — |
PPM019145 | PGS003974 (AFR_without-UKB_LDL) |
PSS011206| African Ancestry| 3,802 individuals |
PGP000514 | Hassanin E et al. Front Genet (2023) |
Reported Trait: LDL level | — | — | R²: 9.2 % | — | — |
PPM019146 | PGS003977 (SAS_without-UKB_LDL) |
PSS011204| South Asian Ancestry| 6,303 individuals |
PGP000514 | Hassanin E et al. Front Genet (2023) |
Reported Trait: LDL level | — | — | R²: 5.6 % | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS011201 | — | — | 68,978 individuals, 31.2 % Male samples |
— | East Asian | — | TWB | — |
PSS011203 | — | — | 1,480 individuals, 36.8 % Male samples |
— | East Asian | — | UKB | — |
PSS011204 | — | — | 6,303 individuals, 54.1 % Male samples |
— | South Asian | — | UKB | — |
PSS011206 | — | — | 3,802 individuals, 45.9 % Male samples |
— | African American or Afro-Caribbean | — | UKB | — |
PSS011207 | — | — | 423,596 individuals, 45.9 % Male samples |
— | European | — | UKB | — |