Predicted Trait | |
Reported Trait | HDL cholesterol |
Mapped Trait(s) | high density lipoprotein cholesterol measurement (EFO_0004612) |
Additional Trait Information | biological measures |
Score Construction | |
PGS Name | portability-PLR_log_HDL |
Development Method | |
Name | Penalized regression (bigstatsr) |
Parameters | HapMap3 variants |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 85,429 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000263 |
Citation (link to publication) | Privé F et al. Am J Hum Genet (2022) |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) | Phenotype Definitions & Methods | Age of Study Participants | Participant Follow-up Time | Additional Ancestry Description | Additional Sample/Cohort Information |
---|---|---|---|---|---|---|---|---|
— | 391,124 individuals | European | UKB | — | — | — | UK (+ Ireland) | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM010507 | PSS009432| European Ancestry| 17,454 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.4605 [0.4488, 0.4721] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010508 | PSS009206| European Ancestry| 3,590 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.4525 [0.4261, 0.4782] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010509 | PSS008760| European Ancestry| 5,800 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.4564 [0.4357, 0.4765] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010510 | PSS008534| Greater Middle Eastern Ancestry| 1,034 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.4038 [0.351, 0.4541] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010511 | PSS008312| South Asian Ancestry| 5,476 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.409 [0.3867, 0.4309] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010513 | PSS007876| African Ancestry| 2,160 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.3126 [0.2739, 0.3504] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010514 | PSS008980| African Ancestry| 3,401 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.2509 [0.219, 0.2822] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010512 | PSS008089| East Asian Ancestry| 1,562 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.3656 [0.3215, 0.408] | sex, age, birth date, deprivation index, 16 PCs | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS007876 | — | — | 2,160 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
PSS008980 | — | — | 3,401 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
PSS009206 | — | — | 3,590 individuals | — | European | Poland (NE Europe) | UKB | — |
PSS008534 | — | — | 1,034 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
PSS008760 | — | — | 5,800 individuals | — | European | Italy (South Europe) | UKB | — |
PSS008312 | — | — | 5,476 individuals | — | South Asian | India (South Asia) | UKB | — |
PSS009432 | — | — | 17,454 individuals | — | European | UK (+ Ireland) | UKB | — |
PSS008089 | — | — | 1,562 individuals | — | East Asian | China (East Asia) | UKB | — |