Predicted Trait | |
Reported Trait | Age asthma diagnosed |
Mapped Trait(s) | asthma (MONDO_0004979) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI3786 |
Score Construction | |
PGS Name | GBE_INI3786 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 922 |
Effect Weight Type | NR |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000244 |
Citation (link to publication) | Tanigawa Y et al. PLoS Genet (2022) |
Ancestry Distribution | |
Score Development/Training | European: 100% 28,474 individuals (100%) |
PGS Evaluation | European: 40% African: 20% East Asian: 20% South Asian: 20% 5 Sample Sets |
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 |
---|---|---|---|---|---|---|---|---|
— | 28,474 individuals | European | UKB | — | — | — | white British ancestry | Training + validation cohort (train_val) |
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 |
---|---|---|---|---|---|---|---|---|
PPM007090 | PSS007256| African Ancestry| 613 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age asthma diagnosed | — | — | R²: 0.25693 [0.23862, 0.27524] Incremental R2 (full-covars): -0.00562 PGS R2 (no covariates): 0.00183 [-0.00025, 0.0039] |
age, sex, UKB array type, Genotype PCs | — |
PPM007091 | PSS007257| East Asian Ancestry| 120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age asthma diagnosed | — | — | R²: 0.16159 [0.12965, 0.19353] Incremental R2 (full-covars): -0.02341 PGS R2 (no covariates): 0.00419 [-0.00192, 0.0103] |
age, sex, UKB array type, Genotype PCs | — |
PPM007092 | PSS007258| European Ancestry| 2,597 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age asthma diagnosed | — | — | R²: 0.17449 [0.16593, 0.18306] Incremental R2 (full-covars): 0.01793 PGS R2 (no covariates): 0.02331 [0.01961, 0.02702] |
age, sex, UKB array type, Genotype PCs | — |
PPM007093 | PSS007259| South Asian Ancestry| 807 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age asthma diagnosed | — | — | R²: 0.16307 [0.14811, 0.17804] Incremental R2 (full-covars): -0.00111 PGS R2 (no covariates): 0.00547 [0.00221, 0.00873] |
age, sex, UKB array type, Genotype PCs | — |
PPM007094 | PSS007260| European Ancestry| 7,052 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age asthma diagnosed | — | — | R²: 0.15588 [0.15084, 0.16091] Incremental R2 (full-covars): 0.02498 PGS R2 (no covariates): 0.02714 [0.02472, 0.02956] |
age, sex, UKB array type, Genotype 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 |
---|---|---|---|---|---|---|---|---|
PSS007260 | — | — | 7,052 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS007256 | — | — | 613 individuals | — | African unspecified | — | UKB | — |
PSS007257 | — | — | 120 individuals | — | East Asian | — | UKB | — |
PSS007258 | — | — | 2,597 individuals | — | European | non-white British ancestry | UKB | — |
PSS007259 | — | — | 807 individuals | — | South Asian | — | UKB | — |