Predicted Trait | |
Reported Trait | Tobacco use disorder |
Mapped Trait(s) | nicotine dependence (EFO_0003768) |
Additional Trait Information | psychiatric disorders |
Score Construction | |
PGS Name | portability-PLR_318 |
Development Method | |
Name | Penalized regression (bigstatsr) |
Parameters | HapMap3 variants |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 13,838 |
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 |
---|---|---|---|---|---|---|---|---|
PPM009533 | PSS009300| European Ancestry| 19,400 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0557 [0.0416, 0.0697] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009534 | PSS009074| European Ancestry| 4,022 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0092 [-0.0218, 0.0401] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009535 | PSS008628| European Ancestry| 6,548 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0603 [0.0361, 0.0845] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009536 | PSS008402| Greater Middle Eastern Ancestry| 1,180 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0076 [-0.05, 0.0651] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009537 | PSS008182| South Asian Ancestry| 6,249 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0361 [0.0113, 0.0609] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009538 | PSS007967| East Asian Ancestry| 1,800 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0404 [-0.0061, 0.0867] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009539 | PSS007748| African Ancestry| 2,445 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): -0.0084 [-0.0482, 0.0314] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009540 | PSS008852| African Ancestry| 3,876 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Tobacco use disorder | — | — | Partial Correlation (partial-r): 0.0032 [-0.0284, 0.0347] | 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 |
---|---|---|---|---|---|---|---|---|
PSS007748 | — | — | 2,445 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
PSS008402 | — | — | 1,180 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
PSS009074 | — | — | 4,022 individuals | — | European | Poland (NE Europe) | UKB | — |
PSS009300 | — | — | 19,400 individuals | — | European | UK (+ Ireland) | UKB | — |
PSS008628 | — | — | 6,548 individuals | — | European | Italy (South Europe) | UKB | — |
PSS008182 | — | — | 6,249 individuals | — | South Asian | India (South Asia) | UKB | — |
PSS008852 | — | — | 3,876 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
PSS007967 | — | — | 1,800 individuals | — | East Asian | China (East Asia) | UKB | — |