| Predicted Trait | |
| Reported Trait | Snoring |
| Mapped Trait(s) | snoring measurement (EFO_0008341) |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/BIN1210 |
| Score Construction | |
| PGS Name | GBE_BIN1210 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 7,407 |
| 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% 252,696 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 |
|---|---|---|---|---|---|---|---|---|
| — | [
|
European | UKB | — | — | — | white British ancestry | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM008028 | PSS003632| African Ancestry| 5,724 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Snoring | — | AUROC: 0.56752 [0.55195, 0.58308] | R²: 0.01836 Incremental AUROC (full-covars): 0.00418 PGS R2 (no covariates): 0.00323 PGS AUROC (no covariates): 0.52957 [0.51394, 0.54521] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008029 | PSS003633| East Asian Ancestry| 1,487 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Snoring | — | AUROC: 0.67171 [0.64335, 0.70007] | R²: 0.11762 Incremental AUROC (full-covars): 0.01614 PGS R2 (no covariates): 0.00954 PGS AUROC (no covariates): 0.55576 [0.52576, 0.58577] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008030 | PSS003634| European Ancestry| 22,809 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Snoring | — | AUROC: 0.6348 [0.62735, 0.64225] | R²: 0.06823 Incremental AUROC (full-covars): 0.01869 PGS R2 (no covariates): 0.01264 PGS AUROC (no covariates): 0.55683 [0.5491, 0.56456] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008031 | PSS003635| South Asian Ancestry| 6,976 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Snoring | — | AUROC: 0.60905 [0.59574, 0.62235] | R²: 0.04773 Incremental AUROC (full-covars): 0.0076 PGS R2 (no covariates): 0.00635 PGS AUROC (no covariates): 0.54076 [0.52704, 0.55447] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008032 | PSS003636| European Ancestry| 63,239 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Snoring | — | AUROC: 0.6302 [0.62577, 0.63463] | R²: 0.06538 Incremental AUROC (full-covars): 0.01667 PGS R2 (no covariates): 0.01001 PGS AUROC (no covariates): 0.54987 [0.54527, 0.55446] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS003632 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS003633 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS003634 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS003635 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS003636 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |