Predicted Trait | |
Reported Trait | Vitamin B12 deficiency induced anemia (time-to-event) |
Mapped Trait(s) | |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/HC608 |
Score Construction | |
PGS Name | GBE_HC608 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 121 |
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% 269,704 individuals (100%) |
PGS Evaluation | European: 50% African: 25% South Asian: 25% 4 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 |
---|---|---|---|---|---|---|---|---|
PPM009020 | PSS004536| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vitamin b12 deficiency anaemia | — | AUROC: 0.66063 [0.54547, 0.77579] | R²: 0.02699 Incremental AUROC (full-covars): 0.01762 PGS R2 (no covariates): 0.00536 PGS AUROC (no covariates): 0.5839 [0.43974, 0.72805] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM009021 | PSS004538| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vitamin b12 deficiency anaemia | — | AUROC: 0.65118 [0.60827, 0.69409] | R²: 0.02729 Incremental AUROC (full-covars): 0.02555 PGS R2 (no covariates): 0.00865 PGS AUROC (no covariates): 0.59612 [0.5552, 0.63704] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM009022 | PSS004539| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vitamin b12 deficiency anaemia | — | AUROC: 0.72387 [0.6834, 0.76434] | R²: 0.06747 Incremental AUROC (full-covars): 0.01252 PGS R2 (no covariates): 0.00966 PGS AUROC (no covariates): 0.57469 [0.52685, 0.62252] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM009023 | PSS004540| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vitamin b12 deficiency anaemia | — | AUROC: 0.64482 [0.61972, 0.66993] | R²: 0.02374 Incremental AUROC (full-covars): 0.02212 PGS R2 (no covariates): 0.0068 PGS AUROC (no covariates): 0.57972 [0.55331, 0.60612] |
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 |
---|---|---|---|---|---|---|---|---|
PSS004540 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS004536 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004538 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004539 | — | — | [
|
— | South Asian | — | UKB | — |