Predicted Trait | |
Reported Trait | Smoking status |
Mapped Trait(s) | smoking status measurement (EFO_0006527) |
Additional Trait Information | SmokingInitiation; Binary |
Score Construction | |
PGS Name | ExPRSweb_Smoking_SmokingInitiation_DBSLMM_MGI_20211120 |
Development Method | |
Name | DBSLMM |
Parameters | DBSLMM default parameter |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 355 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000393 |
Citation (link to publication) | Ma Y et al. Am J Hum Genet (2022) |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST007474 |
1,232,091 individuals | European | NR |
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 |
---|---|---|---|---|---|---|---|---|
— | [
|
European | MGI | never/past/current smoking status was recoded to never/ever responses.; Binary | — | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM015982 | PSS010013| European Ancestry| 23,332 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Smoking Status | OR: 0.992 [0.966, 1.018] β: -0.00836 (0.0134) |
AUROC: 0.496 [0.489, 0.504] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS010013 | never/past/current smoking status was recoded to never/ever responses.; Binary | — | [
|
— | European | — | MGI | — |