| Predicted Trait | |
| Reported Trait | LDL cholesterol |
| Mapped Trait(s) | low density lipoprotein cholesterol measurement (EFO_0004611) |
| Score Construction | |
| PGS Name | SAS_without-UKB_LDL |
| Development Method | |
| Name | PRS-CSx |
| Parameters | default |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 826,248 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000514 |
| Citation (link to publication) | Hassanin E et al. Front Genet (2023) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | South Asian: 100% 40,963 individuals (100%) |
| PGS Evaluation | South Asian: 100% 1 Sample Sets |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
GWAS Catalog: GCST90239660 Europe PMC: 34887591 |
40,963 individuals | South Asian | NR |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM019146 | 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 |
|---|---|---|---|---|---|---|---|---|
| PSS011204 | — | — | 6,303 individuals, 54.1 % Male samples |
— | South Asian | — | UKB | — |