Publication Information (EuropePMC) | |
Title | Genetic Predictor to Identify Individuals With High Lipoprotein(a) Concentrations. |
PubMed ID | 33522245(Europe PMC) |
doi | 10.1161/circgen.120.003182 |
Publication Date | Feb. 1, 2021 |
Journal | Circ Genom Precis Med |
Author(s) | Dron JS, Wang M, Patel AP, Kartoun U, Ng K, Hegele RA, Khera AV. |
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) |
---|---|---|---|---|---|---|
PGS000752 (PGS_Lpa) |
PGP000157 | Dron JS et al. Circ Genom Precis Med (2021) |
Lipoprotein A concentration [nmol/L] | lipoprotein A measurement | 11,446 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000752/ScoringFiles/PGS000752.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 |
---|---|---|---|---|---|---|---|---|---|
PPM001911 | PGS000752 (PGS_Lpa) |
PSS000954| European Ancestry| 43,071 individuals |
PGP000157 | Dron JS et al. Circ Genom Precis Med (2021) |
Reported Trait: Lipoprotein(a) concentration [nmol/L] | — | — | Pearson correlation coefficient (r): 0.5 | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS000954 | — | — | 43,071 individuals | — | European | — | UKB | — |