Experimental Factor Ontology (EFO) Information | |
Identifier | EFO_0004695 |
Description | Is a quantification of intraocular pressure. Increased intraocular pressure is a heritable risk factor for primary open angle glaucoma. | Trait category |
Other measurement
|
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) |
---|---|---|---|---|---|---|
PGS000124 (IOP_AS) |
PGP000061 | MacGregor S et al. Nat Genet (2018) |
Intraocular pressure | intraocular pressure measurement | 103 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000124/ScoringFiles/PGS000124.txt.gz |
PGS000879 (PRS146_IOP) |
PGP000225 | Qassim A et al. Ophthalmology (2020) |
Intraocular pressure | intraocular pressure measurement | 146 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000879/ScoringFiles/PGS000879.txt.gz |
PGS001185 (GBE_INI5255) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Intra-ocular pressure, Goldmann-correlated (R) | intraocular pressure measurement | 3,584 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001185/ScoringFiles/PGS001185.txt.gz |
PGS001409 (GBE_INI5262) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Intra-ocular pressure, corneal-compensated (L) | intraocular pressure measurement | 1,166 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001409/ScoringFiles/PGS001409.txt.gz |
PGS001410 (GBE_INI5254) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Intra-ocular pressure, corneal-compensated (R) | intraocular pressure measurement | 1,563 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001410/ScoringFiles/PGS001410.txt.gz |
PGS001411 (GBE_INI5263) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Intra-ocular pressure, Goldmann-correlated (L) | intraocular pressure measurement | 3,513 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001411/ScoringFiles/PGS001411.txt.gz |
PGS003413 (rvPRS_IOP) |
PGP000426 | Gao XR et al. Nat Commun (2022) |
Intraocular pressure | intraocular pressure measurement | 25 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003413/ScoringFiles/PGS003413.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 |
---|---|---|---|---|---|---|---|---|---|
PPM000403 | PGS000124 (IOP_AS) |
PSS000231| European Ancestry| 4,672 individuals |
PGP000061 | MacGregor S et al. Nat Genet (2018) |
Reported Trait: Advanced glaucoma | — | AUROC: 0.65 [0.63, 0.66] | — | sex, first 4 genetic PCs | — |
PPM002518 | PGS000879 (PRS146_IOP) |
PSS001138| European Ancestry| 2,154 individuals |
PGP000225 | Qassim A et al. Ophthalmology (2020) |
Reported Trait: Incisional surgery for the management of glaucoma | — | — | Odds Ratio (OR, top 20% vs bottom 20%): 1.5 [1.1, 2.0] | — | — |
PPM002519 | PGS000879 (PRS146_IOP) |
PSS001138| European Ancestry| 2,154 individuals |
PGP000225 | Qassim A et al. Ophthalmology (2020) |
Reported Trait: Incisional surgery for the management of glaucoma | — | — | Odds Ratio (OR, top 20% vs intermediate 60%): 1.3 [1.0, 1.6] | — | — |
PPM002520 | PGS000879 (PRS146_IOP) |
PSS001137| European Ancestry| 2,154 individuals |
PGP000225 | Qassim A et al. Ophthalmology (2020) |
Reported Trait: Bilateral incisional surgery for the management of glaucoma | — | — | Odds Ratio (OR, top 20% vs remaining 80%): 1.4 [1.0, 1.8] | — | — |
PPM002517 | PGS000879 (PRS146_IOP) |
PSS001136| European Ancestry| 2,154 individuals |
PGP000225 | Qassim A et al. Ophthalmology (2020) |
Reported Trait: High-tension glaucoma | — | — | Odds Ratio (OR, top 20% vs bottom 20%): 1.9 [1.3, 2.8] | — | — |
PPM008604 | PGS001185 (GBE_INI5255) |
PSS007441| African Ancestry| 3,254 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, Goldmann-correlated (R) | — | — | R²: 0.04204 [0.0325, 0.05159] Incremental R2 (full-covars): 0.0098 PGS R2 (no covariates): 0.01237 [0.00703, 0.01771] |
age, sex, UKB array type, Genotype PCs | — |
PPM008605 | PGS001185 (GBE_INI5255) |
PSS007442| East Asian Ancestry| 590 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, Goldmann-correlated (R) | — | — | R²: 0.02998 [0.01406, 0.04589] Incremental R2 (full-covars): 0.00098 PGS R2 (no covariates): 0.00467 [-0.00178, 0.01112] |
age, sex, UKB array type, Genotype PCs | — |
PPM008606 | PGS001185 (GBE_INI5255) |
PSS007443| European Ancestry| 7,821 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, Goldmann-correlated (R) | — | — | R²: 0.04477 [0.03975, 0.04979] Incremental R2 (full-covars): 0.03528 PGS R2 (no covariates): 0.0349 [0.03042, 0.03937] |
age, sex, UKB array type, Genotype PCs | — |
PPM008607 | PGS001185 (GBE_INI5255) |
PSS007444| South Asian Ancestry| 3,610 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, Goldmann-correlated (R) | — | — | R²: 0.03832 [0.02998, 0.04666] Incremental R2 (full-covars): 0.02757 PGS R2 (no covariates): 0.02719 [0.02009, 0.03429] |
age, sex, UKB array type, Genotype PCs | — |
PPM008608 | PGS001185 (GBE_INI5255) |
PSS007445| European Ancestry| 16,290 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, Goldmann-correlated (R) | — | — | R²: 0.05173 [0.04848, 0.05499] Incremental R2 (full-covars): 0.04479 PGS R2 (no covariates): 0.04483 [0.04178, 0.04788] |
age, sex, UKB array type, Genotype PCs | — |
PPM007200 | PGS001409 (GBE_INI5262) |
PSS007456| African Ancestry| 3,212 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, corneal-compensated (L) | — | — | R²: 0.03733 [0.02829, 0.04637] Incremental R2 (full-covars): -0.00441 PGS R2 (no covariates): 0.00031 [-0.00055, 0.00117] |
age, sex, UKB array type, Genotype PCs | — |
PPM007201 | PGS001409 (GBE_INI5262) |
PSS007457| East Asian Ancestry| 583 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, corneal-compensated (L) | — | — | R²: 0.02837 [0.01286, 0.04387] Incremental R2 (full-covars): -0.00286 PGS R2 (no covariates): 0.00142 [-0.00215, 0.00498] |
age, sex, UKB array type, Genotype PCs | — |
PPM007202 | PGS001409 (GBE_INI5262) |
PSS007458| European Ancestry| 7,806 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, corneal-compensated (L) | — | — | R²: 0.0336 [0.0292, 0.038] Incremental R2 (full-covars): 0.00913 PGS R2 (no covariates): 0.00923 [0.00687, 0.01159] |
age, sex, UKB array type, Genotype PCs | — |
PPM007203 | PGS001409 (GBE_INI5262) |
PSS007459| South Asian Ancestry| 3,565 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, corneal-compensated (L) | — | — | R²: 0.03369 [0.02583, 0.04154] Incremental R2 (full-covars): 0.01088 PGS R2 (no covariates): 0.01113 [0.00651, 0.01575] |
age, sex, UKB array type, Genotype PCs | — |
PPM007204 | PGS001409 (GBE_INI5262) |
PSS007460| European Ancestry| 16,274 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, corneal-compensated (L) | — | — | R²: 0.03668 [0.03389, 0.03946] Incremental R2 (full-covars): 0.01496 PGS R2 (no covariates): 0.01568 [0.01382, 0.01754] |
age, sex, UKB array type, Genotype PCs | — |
PPM007185 | PGS001410 (GBE_INI5254) |
PSS007436| African Ancestry| 3,254 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, corneal-compensated (R) | — | — | R²: 0.03133 [0.023, 0.03967] Incremental R2 (full-covars): 0.00371 PGS R2 (no covariates): 0.00454 [0.00128, 0.0078] |
age, sex, UKB array type, Genotype PCs | — |
PPM007186 | PGS001410 (GBE_INI5254) |
PSS007437| East Asian Ancestry| 590 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, corneal-compensated (R) | — | — | R²: 0.03676 [0.01926, 0.05426] Incremental R2 (full-covars): 0.00553 PGS R2 (no covariates): 0.00565 [-0.00143, 0.01274] |
age, sex, UKB array type, Genotype PCs | — |
PPM007187 | PGS001410 (GBE_INI5254) |
PSS007438| European Ancestry| 7,821 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, corneal-compensated (R) | — | — | R²: 0.02457 [0.02077, 0.02837] Incremental R2 (full-covars): 0.00774 PGS R2 (no covariates): 0.0075 [0.00536, 0.00963] |
age, sex, UKB array type, Genotype PCs | — |
PPM007188 | PGS001410 (GBE_INI5254) |
PSS007439| South Asian Ancestry| 3,610 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, corneal-compensated (R) | — | — | R²: 0.02885 [0.02155, 0.03616] Incremental R2 (full-covars): 0.01476 PGS R2 (no covariates): 0.01471 [0.00942, 0.02] |
age, sex, UKB array type, Genotype PCs | — |
PPM007189 | PGS001410 (GBE_INI5254) |
PSS007440| European Ancestry| 16,290 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, corneal-compensated (R) | — | — | R²: 0.037 [0.0342, 0.03979] Incremental R2 (full-covars): 0.01657 PGS R2 (no covariates): 0.01663 [0.01471, 0.01854] |
age, sex, UKB array type, Genotype PCs | — |
PPM007205 | PGS001411 (GBE_INI5263) |
PSS007461| African Ancestry| 3,212 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, Goldmann-correlated (L) | — | — | R²: 0.04068 [0.03128, 0.05009] Incremental R2 (full-covars): -0.00391 PGS R2 (no covariates): 0.00271 [0.00019, 0.00523] |
age, sex, UKB array type, Genotype PCs | — |
PPM007206 | PGS001411 (GBE_INI5263) |
PSS007462| East Asian Ancestry| 583 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, Goldmann-correlated (L) | — | — | R²: 0.04813 [0.02834, 0.06791] Incremental R2 (full-covars): 0.01832 PGS R2 (no covariates): 0.01761 [0.00526, 0.02997] |
age, sex, UKB array type, Genotype PCs | — |
PPM007207 | PGS001411 (GBE_INI5263) |
PSS007463| European Ancestry| 7,806 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, Goldmann-correlated (L) | — | — | R²: 0.04491 [0.03988, 0.04994] Incremental R2 (full-covars): 0.03198 PGS R2 (no covariates): 0.0316 [0.02733, 0.03588] |
age, sex, UKB array type, Genotype PCs | — |
PPM007208 | PGS001411 (GBE_INI5263) |
PSS007464| South Asian Ancestry| 3,565 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, Goldmann-correlated (L) | — | — | R²: 0.04426 [0.03536, 0.05317] Incremental R2 (full-covars): 0.03415 PGS R2 (no covariates): 0.03409 [0.02619, 0.04198] |
age, sex, UKB array type, Genotype PCs | — |
PPM007209 | PGS001411 (GBE_INI5263) |
PSS007465| European Ancestry| 16,274 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Intra-ocular pressure, Goldmann-correlated (L) | — | — | R²: 0.05219 [0.04892, 0.05546] Incremental R2 (full-covars): 0.04335 PGS R2 (no covariates): 0.04403 [0.041, 0.04705] |
age, sex, UKB array type, Genotype PCs | — |
PPM017063 | PGS003413 (rvPRS_IOP) |
PSS010108| European Ancestry| 312,825 individuals |
PGP000426 | Gao XR et al. Nat Commun (2022) |
Reported Trait: Glaucoma | OR: 1.12 | — | ΔAUROC (%): 0.5 | age, sex | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS001136 | Cases included individuals with high-tension adavanced glaucoma. Advanced glaucoma was defined by a Humphrey 24-2 visual field mean deviation of less than e15 dB in the worse eye, or loss of at least 2 of the central visual field points on the pattern deviation map. High-tension glaucoma is defined by a maximum IOP of more than 21 mmHg. | — | [ ,
46.37 % Male samples |
Mean = 77.4 years Sd = 13.2 years |
European | — | ANZRAG | — |
PSS001137 | Cases included individuals with adavanced glaucoma who have required bilateral incisional surgeries to manage their glaucoma. Advanced glaucoma was defined by a Humphrey 24-2 visual field mean deviation of less than e15 dB in the worse eye, or loss of at least 2 of the central visual field points on the pattern deviation map. Incisional surgeries were mostly trabeculectomies. Other incisional surgeries included tube shunt surgery, deep sclerectomy and Xen Gel implants. | — | [
|
— | European | — | ANZRAG | — |
PSS001138 | Cases included individuals with adavanced glaucoma who have required incisional surgeries to manage their glaucoma. Advanced glaucoma was defined by a Humphrey 24-2 visual field mean deviation of less than e15 dB in the worse eye, or loss of at least 2 of the central visual field points on the pattern deviation map. Incisional surgeries were mostly trabeculectomies. Other incisional surgeries included tube shunt surgery, deep sclerectomy and Xen Gel implants. | — | [
|
— | European | — | ANZRAG | — |
PSS010108 | — | — | 312,825 individuals | — | European | — | UKB | — |
PSS000231 | Advanced primary open-angle glaucoma | — | [
|
— | European | — | ANZRAG | Samples come from Phase 1 and Phase 2 of ANZRAG. |
PSS007436 | — | — | 3,254 individuals | — | African unspecified | — | UKB | — |
PSS007437 | — | — | 590 individuals | — | East Asian | — | UKB | — |
PSS007438 | — | — | 7,821 individuals | — | European | non-white British ancestry | UKB | — |
PSS007439 | — | — | 3,610 individuals | — | South Asian | — | UKB | — |
PSS007440 | — | — | 16,290 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS007441 | — | — | 3,254 individuals | — | African unspecified | — | UKB | — |
PSS007442 | — | — | 590 individuals | — | East Asian | — | UKB | — |
PSS007443 | — | — | 7,821 individuals | — | European | non-white British ancestry | UKB | — |
PSS007444 | — | — | 3,610 individuals | — | South Asian | — | UKB | — |
PSS007445 | — | — | 16,290 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS007456 | — | — | 3,212 individuals | — | African unspecified | — | UKB | — |
PSS007457 | — | — | 583 individuals | — | East Asian | — | UKB | — |
PSS007458 | — | — | 7,806 individuals | — | European | non-white British ancestry | UKB | — |
PSS007459 | — | — | 3,565 individuals | — | South Asian | — | UKB | — |
PSS007460 | — | — | 16,274 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS007461 | — | — | 3,212 individuals | — | African unspecified | — | UKB | — |
PSS007462 | — | — | 583 individuals | — | East Asian | — | UKB | — |
PSS007463 | — | — | 7,806 individuals | — | European | non-white British ancestry | UKB | — |
PSS007464 | — | — | 3,565 individuals | — | South Asian | — | UKB | — |
PSS007465 | — | — | 16,274 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |