Trait Information | |
Identifier | MONDO_0000632 |
Description | A non-metastasizing neoplasm that arises from the uterine corpus or the cervix. Representative examples include leiomyoma, adenomyoma, and endocervical polyp. [NCIT: P378] | Trait category |
Cancer
|
Synonyms |
23 synonyms
|
Mapped terms |
7 mapped terms
|
Child trait(s) | uterine fibroid |
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) |
---|---|---|---|---|---|---|
PGS001032 (GBE_HC31) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Uterine fibroids | uterine fibroid | 161 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001032/ScoringFiles/PGS001032.txt.gz |
PGS001813 (portability-PLR_218) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Benign neoplasm of uterus | uterine benign neoplasm | 1,308 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001813/ScoringFiles/PGS001813.txt.gz |
PGS002021 (portability-ldpred2_218) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Benign neoplasm of uterus | uterine benign neoplasm | 547,617 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002021/ScoringFiles/PGS002021.txt.gz |
PGS002263 (PRS_UF) |
PGP000291 | Piekos JA et al. Hum Genet (2022) |
Uterine fibroids | uterine fibroid | 4,457 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002263/ScoringFiles/PGS002263.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 |
---|---|---|---|---|---|---|---|---|---|
PPM007923 | PGS001032 (GBE_HC31) |
PSS004432| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Uterine fibroids | — | AUROC: 0.76646 [0.74986, 0.78306] | R²: 0.19353 Incremental AUROC (full-covars): 0.00769 PGS R2 (no covariates): 0.00167 PGS AUROC (no covariates): 0.52708 [0.49761, 0.55655] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007924 | PGS001032 (GBE_HC31) |
PSS004433| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Uterine fibroids | — | AUROC: 0.78861 [0.72118, 0.85605] | R²: 0.15287 Incremental AUROC (full-covars): -0.00776 PGS R2 (no covariates): 2e-05 PGS AUROC (no covariates): 0.48768 [0.36905, 0.60631] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007925 | PGS001032 (GBE_HC31) |
PSS004434| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Uterine fibroids | — | AUROC: 0.76622 [0.75066, 0.78178] | R²: 0.12754 Incremental AUROC (full-covars): 0.00896 PGS R2 (no covariates): 0.00275 PGS AUROC (no covariates): 0.54817 [0.52052, 0.57581] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007926 | PGS001032 (GBE_HC31) |
PSS004435| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Uterine fibroids | — | AUROC: 0.84627 [0.82086, 0.87168] | R²: 0.18068 Incremental AUROC (full-covars): 0.00364 PGS R2 (no covariates): 0.00384 PGS AUROC (no covariates): 0.55148 [0.49383, 0.60912] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007927 | PGS001032 (GBE_HC31) |
PSS004436| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Uterine fibroids | — | AUROC: 0.78165 [0.77294, 0.79036] | R²: 0.14246 Incremental AUROC (full-covars): 0.00535 PGS R2 (no covariates): 0.00214 PGS AUROC (no covariates): 0.54273 [0.52605, 0.55942] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM009404 | PGS001813 (portability-PLR_218) |
PSS009283| European Ancestry| 10,254 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of uterus | — | — | Partial Correlation (partial-r): 0.0392 [0.0199, 0.0586] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009405 | PGS001813 (portability-PLR_218) |
PSS009057| European Ancestry| 2,468 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of uterus | — | — | Partial Correlation (partial-r): 0.0775 [0.038, 0.1168] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009406 | PGS001813 (portability-PLR_218) |
PSS008611| European Ancestry| 3,518 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of uterus | — | — | Partial Correlation (partial-r): 0.0381 [0.005, 0.0712] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009407 | PGS001813 (portability-PLR_218) |
PSS008387| Greater Middle Eastern Ancestry| 467 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of uterus | — | — | Partial Correlation (partial-r): 0.1251 [0.0328, 0.2152] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009408 | PGS001813 (portability-PLR_218) |
PSS008165| South Asian Ancestry| 2,817 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of uterus | — | — | Partial Correlation (partial-r): 0.0862 [0.0493, 0.1228] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009409 | PGS001813 (portability-PLR_218) |
PSS007952| East Asian Ancestry| 1,164 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of uterus | — | — | Partial Correlation (partial-r): 0.0245 [-0.0335, 0.0823] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009410 | PGS001813 (portability-PLR_218) |
PSS007733| African Ancestry| 1,520 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of uterus | — | — | Partial Correlation (partial-r): 0.0263 [-0.0244, 0.0768] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM009411 | PGS001813 (portability-PLR_218) |
PSS008836| African Ancestry| 2,067 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of uterus | — | — | Partial Correlation (partial-r): 0.0186 [-0.0248, 0.0618] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011042 | PGS002021 (portability-ldpred2_218) |
PSS009283| European Ancestry| 10,254 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of uterus | — | — | Partial Correlation (partial-r): 0.0479 [0.0286, 0.0672] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011043 | PGS002021 (portability-ldpred2_218) |
PSS009057| European Ancestry| 2,468 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of uterus | — | — | Partial Correlation (partial-r): 0.1046 [0.0653, 0.1436] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011044 | PGS002021 (portability-ldpred2_218) |
PSS008611| European Ancestry| 3,518 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of uterus | — | — | Partial Correlation (partial-r): 0.0454 [0.0123, 0.0785] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011046 | PGS002021 (portability-ldpred2_218) |
PSS008165| South Asian Ancestry| 2,817 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of uterus | — | — | Partial Correlation (partial-r): 0.0966 [0.0597, 0.1332] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011048 | PGS002021 (portability-ldpred2_218) |
PSS007733| African Ancestry| 1,520 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of uterus | — | — | Partial Correlation (partial-r): 0.0301 [-0.0205, 0.0806] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011045 | PGS002021 (portability-ldpred2_218) |
PSS008387| Greater Middle Eastern Ancestry| 467 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of uterus | — | — | Partial Correlation (partial-r): 0.152 [0.0602, 0.2413] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011047 | PGS002021 (portability-ldpred2_218) |
PSS007952| East Asian Ancestry| 1,164 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of uterus | — | — | Partial Correlation (partial-r): 0.0232 [-0.0347, 0.0811] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011049 | PGS002021 (portability-ldpred2_218) |
PSS008836| African Ancestry| 2,067 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of uterus | — | — | Partial Correlation (partial-r): 0.0238 [-0.0195, 0.067] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012882 | PGS002263 (PRS_UF) |
PSS009591| European Ancestry| 26,637 individuals |
PGP000291 | Piekos JA et al. Hum Genet (2022) |
Reported Trait: Uterine fibroid | OR: 1.35 [1.34, 1.37] | AUROC: 0.6 [0.58, 0.62] | — | BMI, age, 10 principal components | — |
PPM012883 | PGS002263 (PRS_UF) |
PSS009591| European Ancestry| 26,637 individuals |
PGP000291 | Piekos JA et al. Hum Genet (2022) |
Reported Trait: Benign neoplasm of uterus | OR: 1.31 [1.26, 1.37] | — | — | BMI, age, 10 principal components | — |
PPM012884 | PGS002263 (PRS_UF) |
PSS009591| European Ancestry| 26,637 individuals |
PGP000291 | Piekos JA et al. Hum Genet (2022) |
Reported Trait: Uterine leiomyoma | OR: 1.32 [1.26, 1.37] | — | — | BMI, age, 10 principal components | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS008836 | — | — | 2,067 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
PSS008165 | — | — | 2,817 individuals | — | South Asian | India (South Asia) | UKB | — |
PSS008387 | — | — | 467 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
PSS008611 | — | — | 3,518 individuals | — | European | Italy (South Europe) | UKB | — |
PSS009591 | — | — | 26,637 individuals, 0.0 % Male samples |
Mean = 67.04 years Sd = 19.14 years |
European (White) |
— | eMERGE | — |
PSS007952 | — | — | 1,164 individuals | — | East Asian | China (East Asia) | UKB | — |
PSS007733 | — | — | 1,520 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
PSS004432 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004433 | — | — | [
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— | East Asian | — | UKB | — |
PSS004434 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004435 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004436 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS009057 | — | — | 2,468 individuals | — | European | Poland (NE Europe) | UKB | — |
PSS009283 | — | — | 10,254 individuals | — | European | UK (+ Ireland) | UKB | — |