Predicted Trait | |
Reported Trait | IGF-1 |
Mapped Trait(s) | IGF-1 measurement (EFO_0004627) |
Additional Trait Information | biological measures |
Score Construction | |
PGS Name | portability-ldpred2_log_IGF1 |
Development Method | |
Name | LDpred2 (bigsnpr) |
Parameters | LDpred2-auto using HapMap3 variants |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 817,740 |
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 |
---|---|---|---|---|---|---|---|---|
PPM012271 | PSS009435| European Ancestry| 18,901 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3913 [0.3791, 0.4033] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012272 | PSS009209| European Ancestry| 3,935 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3623 [0.3347, 0.3892] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012273 | PSS008763| European Ancestry| 6,290 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3614 [0.3397, 0.3827] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012275 | PSS008315| South Asian Ancestry| 5,961 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3299 [0.3071, 0.3524] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012276 | PSS008092| East Asian Ancestry| 1,710 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.2809 [0.2364, 0.3242] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012277 | PSS007879| African Ancestry| 2,328 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.1863 [0.1466, 0.2254] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012278 | PSS008983| African Ancestry| 3,637 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.2085 [0.1771, 0.2395] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012274 | PSS008537| Greater Middle Eastern Ancestry| 1,118 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3575 [0.3048, 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 |
---|---|---|---|---|---|---|---|---|
PSS007879 | — | — | 2,328 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
PSS008983 | — | — | 3,637 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
PSS009209 | — | — | 3,935 individuals | — | European | Poland (NE Europe) | UKB | — |
PSS008537 | — | — | 1,118 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
PSS008763 | — | — | 6,290 individuals | — | European | Italy (South Europe) | UKB | — |
PSS008092 | — | — | 1,710 individuals | — | East Asian | China (East Asia) | UKB | — |
PSS008315 | — | — | 5,961 individuals | — | South Asian | India (South Asia) | UKB | — |
PSS009435 | — | — | 18,901 individuals | — | European | UK (+ Ireland) | UKB | — |