Predicted Trait | |
Reported Trait | Frequency of discomfort/pain in abdomen in last 3 months |
Mapped Trait(s) | Abdominal pain (HP_0002027) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI21025 |
Score Construction | |
PGS Name | GBE_INI21025 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 256 |
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% 97,841 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 |
---|---|---|---|---|---|---|---|---|
— | 97,841 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 |
---|---|---|---|---|---|---|---|---|
PPM005260 | PSS004921| African Ancestry| 1,000 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Freq. of discomfort/pain in abdomen in last 3 months | — | — | R²: 0.03492 [0.02615, 0.04369] Incremental R2 (full-covars): -0.00145 PGS R2 (no covariates): 0.00039 [-0.00057, 0.00135] |
age, sex, UKB array type, Genotype PCs | — |
PPM005261 | PSS004922| East Asian Ancestry| 393 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Freq. of discomfort/pain in abdomen in last 3 months | — | — | R²: 0.05489 [0.03391, 0.07588] Incremental R2 (full-covars): 0.00278 PGS R2 (no covariates): 0.00489 [-0.0017, 0.01149] |
age, sex, UKB array type, Genotype PCs | — |
PPM005262 | PSS004923| European Ancestry| 9,133 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Freq. of discomfort/pain in abdomen in last 3 months | — | — | R²: 0.02414 [0.02037, 0.02791] Incremental R2 (full-covars): 0.00038 PGS R2 (no covariates): 0.00058 [-0.00002, 0.00118] |
age, sex, UKB array type, Genotype PCs | — |
PPM005263 | PSS004924| South Asian Ancestry| 1,189 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Freq. of discomfort/pain in abdomen in last 3 months | — | — | R²: 0.04706 [0.03791, 0.05622] Incremental R2 (full-covars): 0.00161 PGS R2 (no covariates): 0.00255 [0.00032, 0.00477] |
age, sex, UKB array type, Genotype PCs | — |
PPM005264 | PSS004925| European Ancestry| 24,424 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Freq. of discomfort/pain in abdomen in last 3 months | — | — | R²: 0.03134 [0.02875, 0.03392] Incremental R2 (full-covars): 0.00091 PGS R2 (no covariates): 0.00095 [0.00049, 0.00142] |
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 |
---|---|---|---|---|---|---|---|---|
PSS004924 | — | — | 1,189 individuals | — | South Asian | — | UKB | — |
PSS004925 | — | — | 24,424 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS004921 | — | — | 1,000 individuals | — | African unspecified | — | UKB | — |
PSS004922 | — | — | 393 individuals | — | East Asian | — | UKB | — |
PSS004923 | — | — | 9,133 individuals | — | European | non-white British ancestry | UKB | — |