Trait Information | |
Identifier | HP_0000023 |
Description | Protrusion of the contents of the abdominal cavity through the inguinal canal. | Trait category |
Other trait
|
Mapped terms |
7 mapped terms
|
Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
---|---|---|---|---|---|---|
PGS000948 (GBE_HC243) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Inguinal hernia | Inguinal hernia | 1,899 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000948/ScoringFiles/PGS000948.txt.gz |
PGS000949 (GBE_HC1094) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Inguinal hernia (time-to-event) | Inguinal hernia | 3,085 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000949/ScoringFiles/PGS000949.txt.gz |
PGS001854 (portability-PLR_550.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Inguinal hernia | Inguinal hernia | 7,326 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001854/ScoringFiles/PGS001854.txt.gz |
PGS002065 (portability-ldpred2_550.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Inguinal hernia | Inguinal hernia | 691,268 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002065/ScoringFiles/PGS002065.txt.gz |
PGS004471 (disease.K40.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
K40 (Inguinal hernia) | Inguinal hernia | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004471/ScoringFiles/PGS004471.txt.gz |
PGS004541 (meta.K40.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
K40 (Inguinal hernia) | Inguinal hernia | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004541/ScoringFiles/PGS004541.txt.gz |
PGS Performance Metric ID (PPM) |
Evaluated Score |
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 |
---|---|---|---|---|---|---|---|---|---|
PPM007564 | PGS000948 (GBE_HC243) |
PSS004374| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inguinal hernia | — | AUROC: 0.78348 [0.74679, 0.82018] | R²: 0.13075 Incremental AUROC (full-covars): 0.00435 PGS R2 (no covariates): 0.00705 PGS AUROC (no covariates): 0.56723 [0.51532, 0.61915] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007565 | PGS000948 (GBE_HC243) |
PSS004375| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inguinal hernia | — | AUROC: 0.9389 [0.90999, 0.9678] | R²: 0.36887 Incremental AUROC (full-covars): -0.00042 PGS R2 (no covariates): 0.0169 PGS AUROC (no covariates): 0.60459 [0.46834, 0.74083] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007566 | PGS000948 (GBE_HC243) |
PSS004376| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inguinal hernia | — | AUROC: 0.82392 [0.8123, 0.83554] | R²: 0.19164 Incremental AUROC (full-covars): 0.00848 PGS R2 (no covariates): 0.01125 PGS AUROC (no covariates): 0.58382 [0.56527, 0.60237] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007567 | PGS000948 (GBE_HC243) |
PSS004377| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inguinal hernia | — | AUROC: 0.79999 [0.77842, 0.82155] | R²: 0.16477 Incremental AUROC (full-covars): 0.00323 PGS R2 (no covariates): 0.00427 PGS AUROC (no covariates): 0.55482 [0.52022, 0.58942] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007568 | PGS000948 (GBE_HC243) |
PSS004378| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inguinal hernia | — | AUROC: 0.80639 [0.79996, 0.81282] | R²: 0.1844 Incremental AUROC (full-covars): 0.01302 PGS R2 (no covariates): 0.01276 PGS AUROC (no covariates): 0.58203 [0.57214, 0.59192] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007569 | PGS000949 (GBE_HC1094) |
PSS004104| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE inguinal hernia | — | AUROC: 0.77669 [0.74183, 0.81155] | R²: 0.12906 Incremental AUROC (full-covars): 0.0025 PGS R2 (no covariates): 0.00602 PGS AUROC (no covariates): 0.56793 [0.52138, 0.61447] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007570 | PGS000949 (GBE_HC1094) |
PSS004105| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE inguinal hernia | — | AUROC: 0.91597 [0.86802, 0.96391] | R²: 0.32274 Incremental AUROC (full-covars): 0.00132 PGS R2 (no covariates): 0.01604 PGS AUROC (no covariates): 0.6059 [0.48166, 0.73015] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007571 | PGS000949 (GBE_HC1094) |
PSS004106| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE inguinal hernia | — | AUROC: 0.81509 [0.80403, 0.82615] | R²: 0.19099 Incremental AUROC (full-covars): 0.00779 PGS R2 (no covariates): 0.01076 PGS AUROC (no covariates): 0.5791 [0.56214, 0.59607] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007572 | PGS000949 (GBE_HC1094) |
PSS004107| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE inguinal hernia | — | AUROC: 0.80083 [0.78118, 0.82049] | R²: 0.17463 Incremental AUROC (full-covars): 0.00263 PGS R2 (no covariates): 0.00658 PGS AUROC (no covariates): 0.56567 [0.53271, 0.59863] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007573 | PGS000949 (GBE_HC1094) |
PSS004108| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE inguinal hernia | — | AUROC: 0.80466 [0.79851, 0.8108] | R²: 0.19027 Incremental AUROC (full-covars): 0.01341 PGS R2 (no covariates): 0.01302 PGS AUROC (no covariates): 0.58201 [0.5728, 0.59123] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM009722 | PGS001854 (portability-PLR_550.1) |
PSS009329| European Ancestry| 18,171 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inguinal hernia | — | — | Partial Correlation (partial-r): 0.0676 [0.0531, 0.082] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009723 | PGS001854 (portability-PLR_550.1) |
PSS009103| European Ancestry| 3,849 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inguinal hernia | — | — | Partial Correlation (partial-r): 0.04 [0.0084, 0.0716] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009724 | PGS001854 (portability-PLR_550.1) |
PSS008657| European Ancestry| 6,131 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inguinal hernia | — | — | Partial Correlation (partial-r): 0.0717 [0.0467, 0.0966] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009725 | PGS001854 (portability-PLR_550.1) |
PSS008431| Greater Middle Eastern Ancestry| 1,099 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inguinal hernia | — | — | Partial Correlation (partial-r): 0.0836 [0.024, 0.1426] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009726 | PGS001854 (portability-PLR_550.1) |
PSS008211| South Asian Ancestry| 5,790 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inguinal hernia | — | — | Partial Correlation (partial-r): 0.0535 [0.0277, 0.0792] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009727 | PGS001854 (portability-PLR_550.1) |
PSS007993| East Asian Ancestry| 1,742 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inguinal hernia | — | — | Partial Correlation (partial-r): 0.0451 [-0.0021, 0.0922] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009728 | PGS001854 (portability-PLR_550.1) |
PSS007776| African Ancestry| 2,301 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inguinal hernia | — | — | Partial Correlation (partial-r): 0.0247 [-0.0164, 0.0656] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009729 | PGS001854 (portability-PLR_550.1) |
PSS008880| African Ancestry| 3,668 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inguinal hernia | — | — | Partial Correlation (partial-r): 0.0298 [-0.0027, 0.0622] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011382 | PGS002065 (portability-ldpred2_550.1) |
PSS009329| European Ancestry| 18,171 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inguinal hernia | — | — | Partial Correlation (partial-r): 0.072 [0.0575, 0.0865] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011383 | PGS002065 (portability-ldpred2_550.1) |
PSS009103| European Ancestry| 3,849 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inguinal hernia | — | — | Partial Correlation (partial-r): 0.0516 [0.02, 0.0832] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011384 | PGS002065 (portability-ldpred2_550.1) |
PSS008657| European Ancestry| 6,131 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inguinal hernia | — | — | Partial Correlation (partial-r): 0.0791 [0.0541, 0.1039] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011385 | PGS002065 (portability-ldpred2_550.1) |
PSS008431| Greater Middle Eastern Ancestry| 1,099 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inguinal hernia | — | — | Partial Correlation (partial-r): 0.1064 [0.047, 0.165] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011386 | PGS002065 (portability-ldpred2_550.1) |
PSS008211| South Asian Ancestry| 5,790 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inguinal hernia | — | — | Partial Correlation (partial-r): 0.0442 [0.0184, 0.0699] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011387 | PGS002065 (portability-ldpred2_550.1) |
PSS007993| East Asian Ancestry| 1,742 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inguinal hernia | — | — | Partial Correlation (partial-r): 0.0374 [-0.0099, 0.0845] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011388 | PGS002065 (portability-ldpred2_550.1) |
PSS007776| African Ancestry| 2,301 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inguinal hernia | — | — | Partial Correlation (partial-r): 0.0275 [-0.0135, 0.0685] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011389 | PGS002065 (portability-ldpred2_550.1) |
PSS008880| African Ancestry| 3,668 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inguinal hernia | — | — | Partial Correlation (partial-r): 0.025 [-0.0074, 0.0574] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM020586 | PGS004471 (disease.K40.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: K40 (Inguinal hernia) | OR: 1.27301 | — | — | — | — |
PPM020656 | PGS004541 (meta.K40.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: K40 (Inguinal hernia) | OR: 1.28826 | — | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS008657 | — | — | 6,131 individuals | — | European | Italy (South Europe) | UKB | — |
PSS007776 | — | — | 2,301 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
PSS008431 | — | — | 1,099 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
PSS009329 | — | — | 18,171 individuals | — | European | UK (+ Ireland) | UKB | — |
PSS009103 | — | — | 3,849 individuals | — | European | Poland (NE Europe) | UKB | — |
PSS004104 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004105 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004106 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004107 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004108 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS008211 | — | — | 5,790 individuals | — | South Asian | India (South Asia) | UKB | — |
PSS004374 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
PSS004375 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004376 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004377 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004378 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS008880 | — | — | 3,668 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
PSS007993 | — | — | 1,742 individuals | — | East Asian | China (East Asia) | UKB | — |