| Trait Information | |
| Identifier | MONDO_0021187 | Trait category |
Other trait
|
| Synonyms |
8 synonyms
|
| Child trait(s) | familial lipoprotein lipase deficiency |
| 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) |
|---|---|---|---|---|---|---|
| PGS018791 (TPMI_272.1_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Hyperlipidemia | hyperlipidemia | 2,990 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018791/ScoringFiles/PGS018791.txt.gz | |
| PGS018792 (TPMI_272.1_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Hyperlipidemia | hyperlipidemia | 939,817 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018792/ScoringFiles/PGS018792.txt.gz | |
| PGS018793 (TPMI_272.1_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Hyperlipidemia | hyperlipidemia | 620,040 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018793/ScoringFiles/PGS018793.txt.gz | |
| PGS018794 (TPMI_272.1_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Hyperlipidemia | hyperlipidemia | 983,772 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018794/ScoringFiles/PGS018794.txt.gz | |
| PGS018795 (TPMI_272.1_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Hyperlipidemia | hyperlipidemia | 64,248 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018795/ScoringFiles/PGS018795.txt.gz | |
| PGS018806 (TPMI_272.12_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Hyperglyceridemia | familial lipoprotein lipase deficiency | 26 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018806/ScoringFiles/PGS018806.txt.gz | |
| PGS018807 (TPMI_272.12_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Hyperglyceridemia | familial lipoprotein lipase deficiency | 939,771 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018807/ScoringFiles/PGS018807.txt.gz | |
| PGS018808 (TPMI_272.12_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Hyperglyceridemia | familial lipoprotein lipase deficiency | 509,844 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018808/ScoringFiles/PGS018808.txt.gz | |
| PGS018809 (TPMI_272.12_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Hyperglyceridemia | familial lipoprotein lipase deficiency | 983,736 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018809/ScoringFiles/PGS018809.txt.gz | |
| PGS018810 (TPMI_272.12_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Hyperglyceridemia | familial lipoprotein lipase deficiency | 26,876 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018810/ScoringFiles/PGS018810.txt.gz | |
| PGS018811 (TPMI_272.13_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Mixed hyperlipidemia | hyperlipidemia | 594 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018811/ScoringFiles/PGS018811.txt.gz | |
| PGS018812 (TPMI_272.13_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Mixed hyperlipidemia | hyperlipidemia | 939,841 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018812/ScoringFiles/PGS018812.txt.gz | |
| PGS018813 (TPMI_272.13_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Mixed hyperlipidemia | hyperlipidemia | 43,897 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018813/ScoringFiles/PGS018813.txt.gz | |
| PGS018814 (TPMI_272.13_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Mixed hyperlipidemia | hyperlipidemia | 983,790 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018814/ScoringFiles/PGS018814.txt.gz | |
| PGS018815 (TPMI_272.13_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Mixed hyperlipidemia | hyperlipidemia | 62,199 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018815/ScoringFiles/PGS018815.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM036973 | PGS018791 (TPMI_272.1_Lassosum2) |
PSS012704| East Asian Ancestry| 19,320 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hyperlipidemia | — | AUROC: 0.60796 | R²: 0.0461 | sex, age, array, PCs 1-10 | — |
| PPM036974 | PGS018792 (TPMI_272.1_LDpred2) |
PSS012703| East Asian Ancestry| 19,320 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hyperlipidemia | — | AUROC: 0.61052 | R²: 0.04764 | sex, age, array, PCs 1-10 | — |
| PPM036975 | PGS018793 (TPMI_272.1_MegaPRS) |
PSS012705| East Asian Ancestry| 19,320 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hyperlipidemia | — | AUROC: 0.60094 | R²: 0.04036 | sex, age, array, PCs 1-10 | — |
| PPM036976 | PGS018794 (TPMI_272.1_PRS-CS) |
PSS012706| East Asian Ancestry| 19,320 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hyperlipidemia | — | AUROC: 0.60973 | R²: 0.04716 | sex, age, array, PCs 1-10 | — |
| PPM036977 | PGS018795 (TPMI_272.1_SBayesR) |
PSS012707| East Asian Ancestry| 19,320 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hyperlipidemia | — | AUROC: 0.60355 | R²: 0.04274 | sex, age, array, PCs 1-10 | — |
| PPM036988 | PGS018806 (TPMI_272.12_Lassosum2) |
PSS012694| East Asian Ancestry| 12,025 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hyperglyceridemia | — | AUROC: 0.75986 | R²: 0.03891 | sex, age, array, PCs 1-10 | — |
| PPM036989 | PGS018807 (TPMI_272.12_LDpred2) |
PSS012693| East Asian Ancestry| 12,025 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hyperglyceridemia | — | AUROC: 0.77316 | R²: 0.04188 | sex, age, array, PCs 1-10 | — |
| PPM036990 | PGS018808 (TPMI_272.12_MegaPRS) |
PSS012695| East Asian Ancestry| 12,025 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hyperglyceridemia | — | AUROC: 0.73637 | R²: 0.03131 | sex, age, array, PCs 1-10 | — |
| PPM036991 | PGS018809 (TPMI_272.12_PRS-CS) |
PSS012696| East Asian Ancestry| 12,025 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hyperglyceridemia | — | AUROC: 0.77433 | R²: 0.04135 | sex, age, array, PCs 1-10 | — |
| PPM036992 | PGS018810 (TPMI_272.12_SBayesR) |
PSS012697| East Asian Ancestry| 12,025 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hyperglyceridemia | — | AUROC: 0.76801 | R²: 0.04021 | sex, age, array, PCs 1-10 | — |
| PPM036993 | PGS018811 (TPMI_272.13_Lassosum2) |
PSS012699| East Asian Ancestry| 14,526 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Mixed hyperlipidemia | — | AUROC: 0.59356 | R²: 0.02602 | sex, age, array, PCs 1-10 | — |
| PPM036994 | PGS018812 (TPMI_272.13_LDpred2) |
PSS012698| East Asian Ancestry| 14,526 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Mixed hyperlipidemia | — | AUROC: 0.60037 | R²: 0.02936 | sex, age, array, PCs 1-10 | — |
| PPM036995 | PGS018813 (TPMI_272.13_MegaPRS) |
PSS012700| East Asian Ancestry| 14,526 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Mixed hyperlipidemia | — | AUROC: 0.58451 | R²: 0.01996 | sex, age, array, PCs 1-10 | — |
| PPM036996 | PGS018814 (TPMI_272.13_PRS-CS) |
PSS012701| East Asian Ancestry| 14,526 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Mixed hyperlipidemia | — | AUROC: 0.59628 | R²: 0.02772 | sex, age, array, PCs 1-10 | — |
| PPM036997 | PGS018815 (TPMI_272.13_SBayesR) |
PSS012702| East Asian Ancestry| 14,526 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Mixed hyperlipidemia | — | AUROC: 0.59442 | R²: 0.02653 | sex, age, array, PCs 1-10 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS012701 | 272.2,E78.2 | — | [ ,
43.54 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012702 | 272.2,E78.2 | — | [ ,
43.54 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012703 | 272.0, 272.1, 272.2, 272.3, 272.4,E78.0, E78.1, E78.2, E78.3, E78.4, E78.5 | — | [ ,
45.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012704 | 272.0, 272.1, 272.2, 272.3, 272.4,E78.0, E78.1, E78.2, E78.3, E78.4, E78.5 | — | [ ,
45.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012705 | 272.0, 272.1, 272.2, 272.3, 272.4,E78.0, E78.1, E78.2, E78.3, E78.4, E78.5 | — | [ ,
45.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012706 | 272.0, 272.1, 272.2, 272.3, 272.4,E78.0, E78.1, E78.2, E78.3, E78.4, E78.5 | — | [ ,
45.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012707 | 272.0, 272.1, 272.2, 272.3, 272.4,E78.0, E78.1, E78.2, E78.3, E78.4, E78.5 | — | [ ,
45.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012693 | 272.1,E78.1 | — | [ ,
42.51 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012694 | 272.1,E78.1 | — | [ ,
42.51 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012695 | 272.1,E78.1 | — | [ ,
42.51 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012696 | 272.1,E78.1 | — | [ ,
42.51 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012697 | 272.1,E78.1 | — | [ ,
42.51 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012698 | 272.2,E78.2 | — | [ ,
43.54 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012699 | 272.2,E78.2 | — | [ ,
43.54 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012700 | 272.2,E78.2 | — | [ ,
43.54 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |