| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_1001986 |
| Description | A disease involving the connective tissue. | Trait category |
Other disease
|
| Synonyms |
14 synonyms
|
| Mapped terms |
10 mapped terms
|
| Child trait(s) |
25 child traits
|
| 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) |
|---|---|---|---|---|---|---|
| PGS000114 (GRS-JIA-20) |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Juvenile Idiopathic Arthritis | juvenile idiopathic arthritis | 26 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000114/ScoringFiles/PGS000114.txt.gz |
| PGS000194 (G-PROB_Rapos) |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Rheumatoid arthritis (CCP-negative) | ACPA-positive rheumatoid arthritis | 250 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000194/ScoringFiles/PGS000194.txt.gz |
| PGS000195 (G-PROB_Raneg) |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Rheumatoid arthritis (CCP-negative) | ACPA-negative rheumatoid arthritis | 250 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000195/ScoringFiles/PGS000195.txt.gz |
| PGS000196 (G-PROB_SLE) |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Systemic lupus erythematosus | systemic lupus erythematosus | 250 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000196/ScoringFiles/PGS000196.txt.gz |
| PGS000197 (G-PROB_SpA) |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Spondyloarthroparthy | spondyloarthropathy | 250 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000197/ScoringFiles/PGS000197.txt.gz |
| PGS000198 (G-PROB_PsA) |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Psoriatic arthritis | psoriatic arthritis | 250 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000198/ScoringFiles/PGS000198.txt.gz |
| PGS000199 (G-PROB_Gout) |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Gout | gout | 250 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000199/ScoringFiles/PGS000199.txt.gz |
| PGS000324 (GRS-JIA-ERA-20) |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Enthesitis-related Juvenile Idiophatic Arthritis | enthesitis-related juvenile idiopathic arthritis | 138 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000324/ScoringFiles/PGS000324.txt.gz |
| PGS000325 (GRS-JIA-Oli-20) |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Oligoarthritis Juvenile Idiophatic Arthritis | oligoarticular juvenile idiopathic arthritis | 21 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000325/ScoringFiles/PGS000325.txt.gz |
| PGS000326 (GRS-JIA-RFN-20) |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Rheumatoid-factor-negative Polyarthritis (Juvenile Idiophatic Arthritis) | polyarticular juvenile idiopathic arthritis, rheumatoid factor negative | 12 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000326/ScoringFiles/PGS000326.txt.gz |
| PGS000328 (GRS_SLE) |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Systemic lupus erythematosus | systemic lupus erythematosus | 57 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000328/ScoringFiles/PGS000328.txt.gz |
| PGS000341 (GRS33_SSc) |
PGP000110 | Bossini-Castillo L et al. Ann Rheum Dis (2020) |
Systemic sclerosis | systemic scleroderma | 33 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000341/ScoringFiles/PGS000341.txt.gz | |
| PGS000342 (wGRS_PsA) |
PGP000111 | Smith MP et al. J Psoriasis Psoriatic Arthritis (2020) |
Psoriatic arthritis | psoriatic arthritis | 11 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000342/ScoringFiles/PGS000342.txt.gz |
| PGS000343 (wGRS_PsA_HLA) |
PGP000111 | Smith MP et al. J Psoriasis Psoriatic Arthritis (2020) |
Psoriatic arthritis | psoriatic arthritis | 5 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000343/ScoringFiles/PGS000343.txt.gz |
| PGS000711 (HC328) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Gout | gout | 183,332 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000711/ScoringFiles/PGS000711.txt.gz |
| PGS000754 (PRS_SLE) |
PGP000160 | Wang YF et al. Nat Commun (2021) |
Systemic lupus erythematosus | systemic lupus erythematosus | 293,684 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000754/ScoringFiles/PGS000754.txt.gz |
| PGS000771 (GRS95_SLEmain) |
PGP000178 | Chen L et al. Hum Mol Genet (2020) |
Systemic lupus erythematosus | systemic lupus erythematosus | 95 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000771/ScoringFiles/PGS000771.txt.gz | |
| PGS000772 (GRS95_SLEgen) |
PGP000178 | Chen L et al. Hum Mol Genet (2020) |
Systemic lupus erythematosus | systemic lupus erythematosus | 95 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000772/ScoringFiles/PGS000772.txt.gz | |
| PGS000803 (wGRS41_SLE) |
PGP000192 | Kawai VK et al. Lupus (2021) |
Systemic lupus erythematosus | systemic lupus erythematosus | 41 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000803/ScoringFiles/PGS000803.txt.gz |
| PGS000922 (GBE_HC170) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Sarcoidosis | sarcoidosis | 12 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000922/ScoringFiles/PGS000922.txt.gz |
| PGS000923 (GBE_HC639) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Sarcoidosis (time-to-event) | sarcoidosis | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000923/ScoringFiles/PGS000923.txt.gz |
| PGS000959 (GBE_HC136) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Connective tissue disorder | connective tissue disease | 16 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000959/ScoringFiles/PGS000959.txt.gz |
| PGS000960 (GBE_HC1236) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other systemic involvement of connective tissue (time-to-event) | connective tissue disease | 79 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000960/ScoringFiles/PGS000960.txt.gz |
| PGS000967 (GBE_HC1221) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Coxarthrosis [arthrosis of hip] (time-to-event) | osteoarthritis, hip | 634 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000967/ScoringFiles/PGS000967.txt.gz |
| PGS001031 (GBE_HC1261) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Fibroblastic disorders (time-to-event) | fibroblastic disorder | 252 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001031/ScoringFiles/PGS001031.txt.gz |
| 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 |
| PGS001051 (GBE_HC96) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Polymyalgia rheumatica | polymyalgia rheumatica | 69 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001051/ScoringFiles/PGS001051.txt.gz |
| PGS001110 (GBE_HC1209) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reactive arthropathies (time-to-event) | reactive arthritis | 6 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001110/ScoringFiles/PGS001110.txt.gz |
| PGS001135 (GBE_HC78) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Arthritis (nos) | arthritis | 1,028 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001135/ScoringFiles/PGS001135.txt.gz |
| PGS001192 (GBE_HC1222) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Gonarthrosis [arthrosis of knee] (time-to-event) | osteoarthritis, knee | 4,525 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001192/ScoringFiles/PGS001192.txt.gz |
| PGS001248 (GBE_HC328) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Gout | gout | 880 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001248/ScoringFiles/PGS001248.txt.gz |
| PGS001249 (GBE_HC1215) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Gout (time-to-event) | gout | 1,796 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001249/ScoringFiles/PGS001249.txt.gz |
| PGS001267 (GBE_HC422) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Ankylosing spondylitis | ankylosing spondylitis | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001267/ScoringFiles/PGS001267.txt.gz |
| PGS001268 (GBE_HC1242) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Ankylosing spondylitis (time-to-event) | ankylosing spondylitis | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001268/ScoringFiles/PGS001268.txt.gz |
| PGS001287 (GBE_HC91) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Psoriatic arthropathy | psoriatic arthritis | 36 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001287/ScoringFiles/PGS001287.txt.gz |
| PGS001290 (GBE_HC376) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Osteoarthritis | osteoarthritis | 579 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001290/ScoringFiles/PGS001290.txt.gz |
| PGS001309 (GBE_HC1212) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other rheumatoid arthritis (time-to-event) | rheumatoid arthritis | 323 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001309/ScoringFiles/PGS001309.txt.gz |
| PGS001310 (GBE_HC430) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Rheumatoid arthritis | rheumatoid arthritis | 175 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001310/ScoringFiles/PGS001310.txt.gz |
| PGS001311 (GBE_HC1211) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Seropositive rheumatoid arthritis (time-to-event) | rheumatoid arthritis | 3 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001311/ScoringFiles/PGS001311.txt.gz |
| PGS001789 (1kgeur_gbmi_leaveUKBBout_Gout_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Gout | gout | 910,151 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001789/ScoringFiles/PGS001789.txt.gz |
| PGS001810 (portability-PLR_200.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Polycythemia vera | polycythemia vera | 67 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001810/ScoringFiles/PGS001810.txt.gz |
| PGS001822 (portability-PLR_274.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Gout | gout | 216 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001822/ScoringFiles/PGS001822.txt.gz |
| PGS001870 (portability-PLR_695.4) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Lupus (localized and systemic) | lupus erythematosus | 87 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001870/ScoringFiles/PGS001870.txt.gz |
| PGS001872 (portability-PLR_697) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Sarcoidosis | skin sarcoidosis | 79 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001872/ScoringFiles/PGS001872.txt.gz |
| PGS001875 (portability-PLR_714.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Rheumatoid arthritis | rheumatoid arthritis | 256 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001875/ScoringFiles/PGS001875.txt.gz |
| PGS001876 (portability-PLR_715.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Ankylosing spondylitis | ankylosing spondylitis | 85 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001876/ScoringFiles/PGS001876.txt.gz |
| PGS001878 (portability-PLR_717) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Polymyalgia rheumatica | polymyalgia rheumatica | 142 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001878/ScoringFiles/PGS001878.txt.gz |
| PGS001882 (portability-PLR_740) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Osteoarthrosis | osteoarthritis | 11,451 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001882/ScoringFiles/PGS001882.txt.gz |
| PGS002030 (portability-ldpred2_274.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Gout | gout | 163,210 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002030/ScoringFiles/PGS002030.txt.gz |
| PGS002082 (portability-ldpred2_695.4) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Lupus (localized and systemic) | lupus erythematosus | 361,553 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002082/ScoringFiles/PGS002082.txt.gz |
| PGS002084 (portability-ldpred2_697) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Sarcoidosis | skin sarcoidosis | 403,417 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002084/ScoringFiles/PGS002084.txt.gz |
| PGS002088 (portability-ldpred2_714.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Rheumatoid arthritis | rheumatoid arthritis | 95,083 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002088/ScoringFiles/PGS002088.txt.gz |
| PGS002089 (portability-ldpred2_715.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Ankylosing spondylitis | ankylosing spondylitis | 22,026 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002089/ScoringFiles/PGS002089.txt.gz |
| PGS002091 (portability-ldpred2_717) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Polymyalgia rheumatica | polymyalgia rheumatica | 129,938 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002091/ScoringFiles/PGS002091.txt.gz |
| PGS002094 (portability-ldpred2_740) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Osteoarthrosis | osteoarthritis | 827,887 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002094/ScoringFiles/PGS002094.txt.gz |
| PGS002260 (PRS_RA) |
PGP000286 | Honda S et al. Arthritis Rheumatol (2022) |
Rheumatoid arthritis | rheumatoid arthritis | 43,784 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002260/ScoringFiles/PGS002260.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 | |
| PGS002307 (PRS33_gout) |
PGP000329 | Zhang Y et al. BMC Med (2022) |
Gout | gout | 33 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002307/ScoringFiles/PGS002307.txt.gz |
| PGS002728 (PRS_hip) |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Hip osteoarthritis | osteoarthritis, hip | 44 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002728/ScoringFiles/PGS002728.txt.gz |
| PGS002729 (PRS_knee) |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Knee osteoarthritis | osteoarthritis, knee | 24 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002729/ScoringFiles/PGS002729.txt.gz |
| PGS002745 (metaPGS_RA) |
PGP000357 | Ishigaki K et al. Nat Genet (2022) |
Rheumatoid arthritis | rheumatoid arthritis | 2,575 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002745/ScoringFiles/PGS002745.txt.gz |
| PGS002749 (PRS10_TKR) |
PGP000362 | Lacaze P et al. Arthritis Rheumatol (2022) |
Total knee replacement | osteoarthritis, knee, total knee arthroplasty |
10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002749/ScoringFiles/PGS002749.txt.gz |
| PGS002750 (PRS37_THR) |
PGP000362 | Lacaze P et al. Arthritis Rheumatol (2022) |
Total hip replacement | total hip arthroplasty, osteoarthritis, hip |
37 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002750/ScoringFiles/PGS002750.txt.gz |
| PGS002762 (Urate_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Gout | gout | 1,092,214 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002762/ScoringFiles/PGS002762.txt.gz |
| PGS002763 (Hip_osteoarthritis_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Hip osteoarthritis | osteoarthritis, hip | 1,052,273 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002763/ScoringFiles/PGS002763.txt.gz |
| PGS002767 (Knee_osteoarthritis_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Knee osteoarthritis | osteoarthritis, knee | 1,052,275 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002767/ScoringFiles/PGS002767.txt.gz |
| PGS002769 (Rheumatoid_arthritis_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Seropositive rheumatoid arthritis | rheumatoid arthritis | 1,083,565 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002769/ScoringFiles/PGS002769.txt.gz |
| PGS003329 (PRS19_gout) |
PGP000394 | Sumpter NA et al. Arthritis Rheumatol (2022) |
Gout | gout | 19 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003329/ScoringFiles/PGS003329.txt.gz |
| PGS003420 (PRS100_PRScs) |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Ankylosing spondylitis | ankylosing spondylitis | 100 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003420/ScoringFiles/PGS003420.txt.gz |
| PGS003421 (PRS16_C+T) |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Ankylosing spondylitis | ankylosing spondylitis | 16 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003421/ScoringFiles/PGS003421.txt.gz |
| PGS003422 (PRS16_PRSice2) |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Ankylosing spondylitis | ankylosing spondylitis | 16 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003422/ScoringFiles/PGS003422.txt.gz |
| PGS003423 (PRS100_Lassosum) |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Ankylosing spondylitis | ankylosing spondylitis | 100 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003423/ScoringFiles/PGS003423.txt.gz |
| PGS003424 (PRS100_LDpred2) |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Ankylosing spondylitis | ankylosing spondylitis | 100 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003424/ScoringFiles/PGS003424.txt.gz |
| PGS003755 (wGRS_SLE) |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Systemic lupus erythematosus | systemic lupus erythematosus | 122 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003755/ScoringFiles/PGS003755.txt.gz |
| PGS003756 (wGRS_SLE_non-HLA) |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Systemic lupus erythematosus | systemic lupus erythematosus | 112 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003756/ScoringFiles/PGS003756.txt.gz |
| PGS003757 (wGRS_SLE_HLA) |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Systemic lupus erythematosus | systemic lupus erythematosus | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003757/ScoringFiles/PGS003757.txt.gz |
| PGS003960 (GRS57_SLE) |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Systemic lupus erythematosus | systemic lupus erythematosus | 57 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003960/ScoringFiles/PGS003960.txt.gz |
| PGS003990 (dbslmm.auto.GCST008972.Gout) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Gout | gout | 1,005,456 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003990/ScoringFiles/PGS003990.txt.gz |
| PGS003994 (dbslmm.auto.GCST90013534.RA) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Rheumatoid arthritis | rheumatoid arthritis | 778,205 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003994/ScoringFiles/PGS003994.txt.gz | |
| PGS004006 (lassosum.auto.GCST008972.Gout) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Gout | gout | 19,101 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004006/ScoringFiles/PGS004006.txt.gz |
| PGS004010 (lassosum.auto.GCST90013534.RA) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Rheumatoid arthritis | rheumatoid arthritis | 27,045 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004010/ScoringFiles/PGS004010.txt.gz | |
| PGS004018 (lassosum.CV.GCST008972.Gout) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Gout | gout | 100,595 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004018/ScoringFiles/PGS004018.txt.gz |
| PGS004021 (lassosum.CV.GCST90013534.RA) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Rheumatoid arthritis | rheumatoid arthritis | 315,740 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004021/ScoringFiles/PGS004021.txt.gz | |
| PGS004032 (ldpred2.auto.GCST008972.Gout) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Gout | gout | 865,644 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004032/ScoringFiles/PGS004032.txt.gz |
| PGS004047 (ldpred2.CV.GCST008972.Gout) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Gout | gout | 865,644 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004047/ScoringFiles/PGS004047.txt.gz |
| PGS004049 (ldpred2.CV.GCST90013534.RA) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Rheumatoid arthritis | rheumatoid arthritis | 373,627 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004049/ScoringFiles/PGS004049.txt.gz | |
| PGS004060 (megaprs.auto.GCST008972.Gout) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Gout | gout | 677,631 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004060/ScoringFiles/PGS004060.txt.gz |
| PGS004064 (megaprs.auto.GCST90013534.RA) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Rheumatoid arthritis | rheumatoid arthritis | 402,214 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004064/ScoringFiles/PGS004064.txt.gz | |
| PGS004076 (megaprs.CV.GCST008972.Gout) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Gout | gout | 677,631 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004076/ScoringFiles/PGS004076.txt.gz |
| PGS004079 (megaprs.CV.GCST90013534.RA) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Rheumatoid arthritis | rheumatoid arthritis | 402,214 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004079/ScoringFiles/PGS004079.txt.gz | |
| PGS004090 (prscs.auto.GCST008972.Gout) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Gout | gout | 976,777 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004090/ScoringFiles/PGS004090.txt.gz |
| PGS004094 (prscs.auto.GCST90013534.RA) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Rheumatoid arthritis | rheumatoid arthritis | 755,048 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004094/ScoringFiles/PGS004094.txt.gz | |
| PGS004103 (prscs.CV.GCST90013534.RA) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Rheumatoid arthritis | rheumatoid arthritis | 755,048 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004103/ScoringFiles/PGS004103.txt.gz | |
| PGS004114 (pt_clump.auto.GCST008972.Gout) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Gout | gout | 248 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004114/ScoringFiles/PGS004114.txt.gz |
| PGS004118 (pt_clump.auto.GCST90013534.RA) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Rheumatoid arthritis | rheumatoid arthritis | 91 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004118/ScoringFiles/PGS004118.txt.gz | |
| PGS004130 (pt_clump_nested.CV.GCST008972.Gout) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Gout | gout | 7,279 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004130/ScoringFiles/PGS004130.txt.gz |
| PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Rheumatoid arthritis | rheumatoid arthritis | 155 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004133/ScoringFiles/PGS004133.txt.gz | |
| PGS004144 (sbayesr.auto.GCST008972.Gout) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Gout | gout | 822,407 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004144/ScoringFiles/PGS004144.txt.gz |
| PGS004148 (sbayesr.auto.GCST90013534.RA) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Rheumatoid arthritis | rheumatoid arthritis | 671,211 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004148/ScoringFiles/PGS004148.txt.gz | |
| PGS004160 (UKBB_EnsPGS.GCST008972.Gout) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Gout | gout | 976,174 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004160/ScoringFiles/PGS004160.txt.gz |
| PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Rheumatoid arthritis | rheumatoid arthritis | 778,275 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004163/ScoringFiles/PGS004163.txt.gz | |
| PGS004222 (GRS13_gout) |
PGP000522 | Wu Q et al. J Psychosom Res (2023) |
Gout | gout | 13 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004222/ScoringFiles/PGS004222.txt.gz |
| PGS004326 (PRS154_RA) |
PGP000560 | Zhang J et al. Environ Health Perspect (2023) |
Rheumatoid arthritis | rheumatoid arthritis | 154 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004326/ScoringFiles/PGS004326.txt.gz |
| PGS004477 (disease.M13.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
M13 (Other arthritis) | arthritis | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004477/ScoringFiles/PGS004477.txt.gz |
| PGS004478 (disease.M16.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
M16 (Coxarthrosis [arthrosis of hip]) | osteoarthritis, hip | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004478/ScoringFiles/PGS004478.txt.gz |
| PGS004479 (disease.M17.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
M17 (Gonarthrosis [arthrosis of knee]) | osteoarthritis, knee | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004479/ScoringFiles/PGS004479.txt.gz |
| PGS004547 (meta.M13.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
M13 (Other arthritis) | arthritis | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004547/ScoringFiles/PGS004547.txt.gz |
| PGS004548 (meta.M16.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
M16 (Coxarthrosis [arthrosis of hip]) | osteoarthritis, hip | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004548/ScoringFiles/PGS004548.txt.gz |
| PGS004549 (meta.M17.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
M17 (Gonarthrosis [arthrosis of knee]) | osteoarthritis, knee | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004549/ScoringFiles/PGS004549.txt.gz |
| PGS004767 (gout_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Gout | gout | 908,271 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004767/ScoringFiles/PGS004767.txt.gz |
| PGS004768 (gout_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Gout | gout | 1,580,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004768/ScoringFiles/PGS004768.txt.gz |
| PGS004817 (RA_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Rheumatoid Arthritis | rheumatoid arthritis | 786,048 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004817/ScoringFiles/PGS004817.txt.gz |
| PGS004818 (RA_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Rheumatoid Arthritis | rheumatoid arthritis | 6,580,837 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004818/ScoringFiles/PGS004818.txt.gz |
| PGS004819 (RA_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Rheumatoid Arthritis | rheumatoid arthritis | 2,624,228 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004819/ScoringFiles/PGS004819.txt.gz |
| PGS004820 (RA_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Rheumatoid Arthritis | rheumatoid arthritis | 6,580,837 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004820/ScoringFiles/PGS004820.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM000262 | PGS000114 (GRS-JIA-20) |
PSS000179| European Ancestry| 3,513 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Juvenile Idiopathic Arthritis | OR: 1.838 [1.686, 2.007] | AUROC: 0.735 [0.712, 0.758] | — | sex, genetic PCs 1-10 | — |
| PPM000263 | PGS000114 (GRS-JIA-20) |
PSS000180| European Ancestry| 940 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Juvenile Idiopathic Arthritis | OR: 2.085 [1.773, 2.471] | AUROC: 0.738 [0.705, 0.77] | — | sex, genetic PCs 1-10 | — |
| PPM000260 | PGS000114 (GRS-JIA-20) |
PSS000179| European Ancestry| 3,513 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Juvenile Idiopathic Arthritis | OR: 1.831 [1.685, 1.991] | AUROC: 0.657 [0.631, 0.683] | — | — | — |
| PPM000261 | PGS000114 (GRS-JIA-20) |
PSS000180| European Ancestry| 940 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Juvenile Idiopathic Arthritis | OR: 2.008 [1.731, 2.345] | AUROC: 0.671 [0.635, 0.706] | — | — | — |
| PPM000577 | PGS000194 (G-PROB_Rapos) |
PSS000315| European Ancestry| 243 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.69 [0.63, 0.76] | — | RAN_Gprob | (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit) |
| PPM000571 | PGS000194 (G-PROB_Rapos) |
PSS000314| European Ancestry| 245 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.75 [0.68, 0.81] | — | G-PROB_Raneg | (Setting II: Assigning patient diagnoses based on medical records) |
| PPM000565 | PGS000194 (G-PROB_Rapos) |
PSS000322| Multi-ancestry (including European)| 1,211 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.69 [0.65, 0.72] | — | G-PROB_Raneg | (Setting I: Assigning patient diagnoses based on billing codes) |
| PPM000578 | PGS000195 (G-PROB_Raneg) |
PSS000315| European Ancestry| 243 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.69 [0.63, 0.76] | — | G-PROB_Rapos | (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit) |
| PPM000572 | PGS000195 (G-PROB_Raneg) |
PSS000314| European Ancestry| 245 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.75 [0.68, 0.81] | — | G-PROB_Rapos | (Setting II: Assigning patient diagnoses based on medical records) |
| PPM000566 | PGS000195 (G-PROB_Raneg) |
PSS000322| Multi-ancestry (including European)| 1,211 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.69 [0.65, 0.72] | — | G-PROB_Rapos | (Setting I: Assigning patient diagnoses based on billing codes) |
| PPM000579 | PGS000196 (G-PROB_SLE) |
PSS000319| European Ancestry| 243 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Systemic lupus erythematosus diagnosis in patient with arthritis | — | AUROC: 0.61 [0.27, 0.86] | — | — | (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit) |
| PPM000573 | PGS000196 (G-PROB_SLE) |
PSS000318| European Ancestry| 245 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Systemic lupus erythematosus diagnosis in patient with arthritis | — | AUROC: 0.79 [0.72, 0.85] | — | — | (Setting II: Assigning patient diagnoses based on medical records) |
| PPM000567 | PGS000196 (G-PROB_SLE) |
PSS000324| Multi-ancestry (including European)| 1,211 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Systemic lupus erythematosus diagnosis in patient with arthritis | — | AUROC: 0.74 [0.7, 0.78] | — | — | (Setting I: Assigning patient diagnoses based on billing codes) |
| PPM000580 | PGS000197 (G-PROB_SpA) |
PSS000317| European Ancestry| 243 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Spondyloarthropathy diagnosis in patient with arthritis | — | AUROC: 0.56 [0.33, 0.84] | — | — | (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit) |
| PPM000574 | PGS000197 (G-PROB_SpA) |
PSS000316| European Ancestry| 245 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Spondyloarthropathy diagnosis in patient with arthritis | — | AUROC: 0.87 [0.76, 0.96] | — | — | (Setting II: Assigning patient diagnoses based on medical records) |
| PPM000568 | PGS000197 (G-PROB_SpA) |
PSS000323| Multi-ancestry (including European)| 1,211 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Spondyloarthropathy diagnosis in patient with arthritis | — | AUROC: 0.58 [0.5, 0.67] | — | — | (Setting I: Assigning patient diagnoses based on billing codes) |
| PPM000581 | PGS000198 (G-PROB_PsA) |
PSS000313| European Ancestry| 243 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Psoriatic arthritis diagnosis in patient with arthritis | — | AUROC: 0.62 [0.48, 0.8] | — | — | (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit) |
| PPM000575 | PGS000198 (G-PROB_PsA) |
PSS000312| European Ancestry| 245 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Psoriatic arthritis diagnosis in patient with arthritis | — | AUROC: 0.71 [0.63, 0.82] | — | — | (Setting II: Assigning patient diagnoses based on medical records) |
| PPM000569 | PGS000198 (G-PROB_PsA) |
PSS000321| Multi-ancestry (including European)| 1,211 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Psoriatic arthritis diagnosis in patient with arthritis | — | AUROC: 0.61 [0.52, 0.69] | — | — | (Setting I: Assigning patient diagnoses based on billing codes) |
| PPM000582 | PGS000199 (G-PROB_Gout) |
PSS000311| European Ancestry| 243 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Gout diagnosis in patient with arthritis | — | AUROC: 0.85 [0.8, 0.91] | — | — | (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit) |
| PPM000576 | PGS000199 (G-PROB_Gout) |
PSS000310| European Ancestry| 245 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Gout diagnosis in patient with arthritis | — | AUROC: 0.82 [0.73, 0.94] | — | — | (Setting II: Assigning patient diagnoses based on medical records) |
| PPM000570 | PGS000199 (G-PROB_Gout) |
PSS000320| Multi-ancestry (including European)| 1,211 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Gout diagnosis in patient with arthritis | — | AUROC: 0.78 [0.75, 0.8] | — | — | (Setting I: Assigning patient diagnoses based on billing codes) |
| PPM000874 | PGS000324 (GRS-JIA-ERA-20) |
PSS000432| European Ancestry| 594 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Enthesitis-related Arthritis | OR: 3.09 [2.07, 5.04] | AUROC: 0.93 [0.86, 0.99] | — | sex, genetic PCs 1-10 | — |
| PPM000873 | PGS000324 (GRS-JIA-ERA-20) |
PSS000429| European Ancestry| 3,020 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Enthesitis-related Arthritis | OR: 1.86 [1.61, 2.14] | AUROC: 0.75 [0.68, 0.82] | — | sex, genetic PCs 1-10 | — |
| PPM000867 | PGS000324 (GRS-JIA-ERA-20) |
PSS000429| European Ancestry| 3,020 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Enthesitis-related Arthritis | OR: 1.84 [1.6, 2.17] | AUROC: 0.7 [0.63, 0.77] | — | — | — |
| PPM000868 | PGS000324 (GRS-JIA-ERA-20) |
PSS000432| European Ancestry| 594 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Enthesitis-related Arthritis | OR: 2.99 [2.11, 4.54] | AUROC: 0.84 [0.71, 0.97] | — | — | — |
| PPM000875 | PGS000325 (GRS-JIA-Oli-20) |
PSS000430| European Ancestry| 3,157 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Oligoarthritis Juvenile Idiophatic Arthritis | OR: 1.93 [1.75, 2.13] | AUROC: 0.8 [0.77, 0.84] | — | sex, genetic PCs 1-10 | — |
| PPM000876 | PGS000325 (GRS-JIA-Oli-20) |
PSS000433| European Ancestry| 737 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Oligoarthritis Juvenile Idiophatic Arthritis | OR: 2.19 [1.81, 2.71] | AUROC: 0.79 [0.76, 0.83] | — | sex, genetic PCs 1-10 | — |
| PPM000869 | PGS000325 (GRS-JIA-Oli-20) |
PSS000430| European Ancestry| 3,157 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Oligoarthritis Juvenile Idiophatic Arthritis | OR: 1.93 [1.76, 2.11] | AUROC: 0.77 [0.73, 0.8] | — | — | — |
| PPM000870 | PGS000325 (GRS-JIA-Oli-20) |
PSS000433| European Ancestry| 737 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Oligoarthritis Juvenile Idiophatic Arthritis | OR: 2.24 [1.88, 2.71] | AUROC: 0.74 [0.7, 0.79] | — | — | — |
| PPM000878 | PGS000326 (GRS-JIA-RFN-20) |
PSS000434| European Ancestry| 653 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Rheumatoid-factor-negative Polyarthritis | OR: 1.71 [1.42, 2.07] | AUROC: 0.74 [0.68, 0.8] | — | sex, genetic PCs 1-10 | — |
| PPM000872 | PGS000326 (GRS-JIA-RFN-20) |
PSS000434| European Ancestry| 653 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Rheumatoid-factor-negative Polyarthritis | OR: 1.69 [1.42, 2.02] | AUROC: 0.66 [0.59, 0.73] | — | — | — |
| PPM000877 | PGS000326 (GRS-JIA-RFN-20) |
PSS000431| European Ancestry| 3,089 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Rheumatoid-factor-negative Polyarthritis | OR: 1.51 [1.35, 1.68] | AUROC: 0.76 [0.72, 0.8] | — | sex, genetic PCs 1-10 | — |
| PPM000871 | PGS000326 (GRS-JIA-RFN-20) |
PSS000431| European Ancestry| 3,089 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Rheumatoid-factor-negative Polyarthritis | OR: 1.48 [1.33, 1.64] | AUROC: 0.64 [0.59, 0.69] | — | — | — |
| PPM000882 | PGS000328 (GRS_SLE) |
PSS000438| European Ancestry| 15,383 individuals |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.71 | Odds Ratio (OR; highest vs. lowest quartile): 7.48 [6.73, 8.32] | — | — |
| PPM000880 | PGS000328 (GRS_SLE) |
PSS000436| European Ancestry| 3,803 individuals |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.78 | Odds Ratio (OR; highest vs. lowest quartile): 12.32 [9.53, 15.71] | — | — |
| PPM000883 | PGS000328 (GRS_SLE) |
PSS000436| European Ancestry| 3,803 individuals |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Reported Trait: Systemic Lupus damage score (SDI) | OR: 1.13 [1.03, 1.24] | — | Odds Ratio (OR; highest vs. lowest quartile): 1.47 [1.06, 2.04] | — | — |
| PPM000881 | PGS000328 (GRS_SLE) |
PSS000437| European Ancestry| 1,001 individuals |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Reported Trait: Systemic lupus erythematosus (onset before age 20) | — | AUROC: 0.83 | — | — | — |
| PPM000885 | PGS000328 (GRS_SLE) |
PSS000437| European Ancestry| 1,001 individuals |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Reported Trait: Nephritis in systemic lupus erythematosus patients | — | — | Hazard Ratio (HR; highest vs. lowest quartile): 2.53 [1.72, 3.71] | — | — |
| PPM000884 | PGS000328 (GRS_SLE) |
PSS000436| European Ancestry| 3,803 individuals |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Reported Trait: Systemic lupus erythematosus (age-at-onset) | — | — | Hazard Ratio (HR; highest vs. lowest quartile): 1.47 [1.22, 1.75] | — | — |
| PPM000970 | PGS000341 (GRS33_SSc) |
PSS000489| European Ancestry| 339 individuals |
PGP000110 | Bossini-Castillo L et al. Ann Rheum Dis (2020) |
Reported Trait: Systemic sclerosis | — | AUROC: 0.787 [0.73, 0.84] | — | Systemic sclerosis status, age and immune cell counts of: memory B cells, resting NK cells, M0 macrophages and activated dendritic cells | *Some overlap with score development and testing samples |
| PPM000969 | PGS000341 (GRS33_SSc) |
PSS000489| European Ancestry| 339 individuals |
PGP000110 | Bossini-Castillo L et al. Ann Rheum Dis (2020) |
Reported Trait: Systemic sclerosis | — | AUROC: 0.722 | — | Systemic sclerosis status and immune cell counts of: memory B cells, resting NK cells, M0 macrophages and activated dendritic cells | *Some overlap with score development and testing samples |
| PPM000968 | PGS000341 (GRS33_SSc) |
PSS000489| European Ancestry| 339 individuals |
PGP000110 | Bossini-Castillo L et al. Ann Rheum Dis (2020) |
Reported Trait: Systemic sclerosis | — | AUROC: 0.644 | — | — | *Some overlap with score development and testing samples |
| PPM000971 | PGS000342 (wGRS_PsA) |
PSS000490| Ancestry Not Reported| 543 individuals |
PGP000111 | Smith MP et al. J Psoriasis Psoriatic Arthritis (2020) |
Reported Trait: Psoriatic arthritis | — | AUROC: 0.562 [0.506, 0.618] | — | — | — |
| PPM000972 | PGS000343 (wGRS_PsA_HLA) |
PSS000490| Ancestry Not Reported| 543 individuals |
PGP000111 | Smith MP et al. J Psoriasis Psoriatic Arthritis (2020) |
Reported Trait: Psoriatic arthritis | — | AUROC: 0.569 [0.513, 0.625] | — | — | — |
| PPM001603 | PGS000711 (HC328) |
PSS000815| European Ancestry| 87,413 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Gout | — | AUROC: 0.7107 | — | Age, sex, PCs(1-10) | — |
| PPM001616 | PGS000711 (HC328) |
PSS000816| European Ancestry| 135,300 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Gout | HR: 1.58 [1.51, 1.65] | C-index: 0.673 | — | Age as time scale, sex, batch, PCs(1-10) | — |
| PPM001919 | PGS000754 (PRS_SLE) |
PSS000963| East Asian Ancestry| 2,589 individuals |
PGP000160 | Wang YF et al. Nat Commun (2021) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.76 [0.74, 0.78] | — | — | — |
| PPM001920 | PGS000754 (PRS_SLE) |
PSS000960| European Ancestry| 1,340 individuals |
PGP000160 | Wang YF et al. Nat Commun (2021) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.65 | — | — | — |
| PPM001921 | PGS000754 (PRS_SLE) |
PSS000961| European Ancestry| 7,733 individuals |
PGP000160 | Wang YF et al. Nat Commun (2021) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.65 | — | — | — |
| PPM001922 | PGS000754 (PRS_SLE) |
PSS000962| European Ancestry| 1,112 individuals |
PGP000160 | Wang YF et al. Nat Commun (2021) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.62 | — | — | — |
| PPM002076 | PGS000754 (PRS_SLE) |
PSS001027| Additional Asian Ancestries| 3,996 individuals |
PGP000188 | Tangtanatakul P et al. Arthritis Res Ther (2020) |Ext. |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.76 | — | — | — |
| PPM001996 | PGS000771 (GRS95_SLEmain) |
PSS000994| European Ancestry| 524 individuals |
PGP000178 | Chen L et al. Hum Mol Genet (2020) |
Reported Trait: Renal disease age of onset | — | AUROC: 0.576 [0.518, 0.634] | — | — | Renal disease is used as a proxy for systemic lupus erythematosus severity |
| PPM001998 | PGS000771 (GRS95_SLEmain) |
PSS000994| European Ancestry| 524 individuals |
PGP000178 | Chen L et al. Hum Mol Genet (2020) |
Reported Trait: Renal disease age of onset | — | — | Odds Ratio (OR, top 20% vs bottom 20%): 3.155 [1.623, 6.133] | — | Renal disease is used as a proxy for systemic lupus erythematosus severity |
| PPM001997 | PGS000772 (GRS95_SLEgen) |
PSS000993| European Ancestry| 3,101 individuals |
PGP000178 | Chen L et al. Hum Mol Genet (2020) |
Reported Trait: Renal disease | — | — | Odds Ratio (OR, top 20% vs bottom 20%): 1.578 [1.25, 1.991] | — | Renal disease is used as a proxy for systemic lupus erythematosus severity |
| PPM002100 | PGS000803 (wGRS41_SLE) |
PSS001038| European Ancestry| 47,904 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Lupus (localised and systemic) | OR: 1.73 [1.62, 1.85] β: 0.546 (0.034) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002101 | PGS000803 (wGRS41_SLE) |
PSS001043| European Ancestry| 18,722 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Lupus (localised and systemic) | OR: 1.82 [1.66, 2.0] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002102 | PGS000803 (wGRS41_SLE) |
PSS001035| European Ancestry| 47,917 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Systemic lupus erythematosus | OR: 1.71 [1.6, 1.82] β: 0.534 (0.034) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002103 | PGS000803 (wGRS41_SLE) |
PSS001040| European Ancestry| 18,698 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Systemic lupus erythematosus | OR: 1.86 [1.69, 2.04] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002104 | PGS000803 (wGRS41_SLE) |
PSS001037| European Ancestry| 50,429 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Erythematous conditions | OR: 1.28 [1.22, 1.34] β: 0.246 (0.024) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002105 | PGS000803 (wGRS41_SLE) |
PSS001042| European Ancestry| 21,474 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Erythematous conditions | OR: 1.08 [1.04, 1.13] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002106 | PGS000803 (wGRS41_SLE) |
PSS001034| European Ancestry| 47,321 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Cutaneous lupus erythematosus | OR: 1.79 [1.54, 2.08] β: 0.582 (0.078) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002107 | PGS000803 (wGRS41_SLE) |
PSS001039| European Ancestry| 18,422 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Cutaneous lupus erythematosus | OR: 2.02 [1.71, 2.4] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002108 | PGS000803 (wGRS41_SLE) |
PSS001036| European Ancestry| 40,528 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes | OR: 1.11 [1.06, 1.17] β: 0.108 (0.024) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002109 | PGS000803 (wGRS41_SLE) |
PSS001041| European Ancestry| 19,191 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes | OR: 1.11 [1.05, 1.18] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002110 | PGS000803 (wGRS41_SLE) |
PSS001036| European Ancestry| 40,528 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes with renal manifestations | OR: 1.41 [1.26, 1.59] β: 0.346 (0.06) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002111 | PGS000803 (wGRS41_SLE) |
PSS001041| European Ancestry| 19,191 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes with renal manifestations | OR: 1.38 [1.19, 1.6] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002112 | PGS000803 (wGRS41_SLE) |
PSS001036| European Ancestry| 40,528 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes with opthalmic manifestations | OR: 1.32 [1.16, 1.5] β: 0.275 (0.065) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002113 | PGS000803 (wGRS41_SLE) |
PSS001041| European Ancestry| 19,191 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes with opthalmic manifestations | OR: 1.34 [1.18, 1.52] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002114 | PGS000803 (wGRS41_SLE) |
PSS001036| European Ancestry| 40,528 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes with neurological manifestations | OR: 1.16 [1.06, 1.28] β: 0.151 (0.047) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM007440 | PGS000922 (GBE_HC170) |
PSS004322| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sarcoidosis | — | AUROC: 0.70759 [0.63998, 0.7752] | PGS R2 (no covariates): 0.02057 R²: 0.05219 Incremental AUROC (full-covars): 0.03111 PGS AUROC (no covariates): 0.64298 [0.57429, 0.71167] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007441 | PGS000922 (GBE_HC170) |
PSS004323| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sarcoidosis | — | AUROC: 0.67662 [0.6145, 0.73874] | R²: 0.03062 Incremental AUROC (full-covars): 0.02209 PGS R2 (no covariates): 0.00799 PGS AUROC (no covariates): 0.60582 [0.54774, 0.66391] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007442 | PGS000922 (GBE_HC170) |
PSS004324| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sarcoidosis | — | AUROC: 0.66108 [0.58927, 0.7329] | R²: 0.03112 Incremental AUROC (full-covars): 0.00713 PGS R2 (no covariates): 0.00089 PGS AUROC (no covariates): 0.52621 [0.44905, 0.60338] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007443 | PGS000922 (GBE_HC170) |
PSS004325| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sarcoidosis | — | AUROC: 0.6486 [0.60932, 0.68789] | R²: 0.01916 Incremental AUROC (full-covars): 0.09187 PGS R2 (no covariates): 0.01741 PGS AUROC (no covariates): 0.64282 [0.60353, 0.68211] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007444 | PGS000923 (GBE_HC639) |
PSS004551| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE sarcoidosis | — | AUROC: 0.70171 [0.64012, 0.7633] | R²: 0.05018 Incremental AUROC (full-covars): 0.03514 PGS R2 (no covariates): 0.02657 PGS AUROC (no covariates): 0.66456 [0.60597, 0.72315] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007445 | PGS000923 (GBE_HC639) |
PSS004552| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE sarcoidosis | — | AUROC: 0.67371 [0.61511, 0.7323] | R²: 0.02923 Incremental AUROC (full-covars): 0.00926 PGS R2 (no covariates): 0.00429 PGS AUROC (no covariates): 0.58898 [0.53125, 0.64671] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007446 | PGS000923 (GBE_HC639) |
PSS004553| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE sarcoidosis | — | AUROC: 0.67148 [0.61146, 0.73151] | R²: 0.0372 Incremental AUROC (full-covars): 0.00677 PGS R2 (no covariates): 0.00103 PGS AUROC (no covariates): 0.52237 [0.45814, 0.58661] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007447 | PGS000923 (GBE_HC639) |
PSS004554| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE sarcoidosis | — | AUROC: 0.65455 [0.6217, 0.6874] | R²: 0.02088 Incremental AUROC (full-covars): 0.09004 PGS R2 (no covariates): 0.018 PGS AUROC (no covariates): 0.64561 [0.61168, 0.67954] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007619 | PGS000959 (GBE_HC136) |
PSS004268| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Connective tissue disorder | — | AUROC: 0.73988 [0.69513, 0.78463] | PGS R2 (no covariates): 0.00642 R²: 0.08185 Incremental AUROC (full-covars): 0.00979 PGS AUROC (no covariates): 0.56238 [0.49913, 0.62563] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007620 | PGS000959 (GBE_HC136) |
PSS004269| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Connective tissue disorder | — | AUROC: 0.765 [0.66231, 0.86769] | R²: 0.08382 Incremental AUROC (full-covars): 0.00696 PGS R2 (no covariates): 0.00136 PGS AUROC (no covariates): 0.56739 [0.42765, 0.70713] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007621 | PGS000959 (GBE_HC136) |
PSS004270| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Connective tissue disorder | — | AUROC: 0.70495 [0.67184, 0.73806] | R²: 0.05359 Incremental AUROC (full-covars): 0.00618 PGS R2 (no covariates): 0.00805 PGS AUROC (no covariates): 0.58596 [0.5496, 0.62231] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007622 | PGS000959 (GBE_HC136) |
PSS004271| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Connective tissue disorder | — | AUROC: 0.72343 [0.67592, 0.77095] | R²: 0.05576 Incremental AUROC (full-covars): 0.00018 PGS R2 (no covariates): 0.00021 PGS AUROC (no covariates): 0.5023 [0.43485, 0.56975] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007623 | PGS000959 (GBE_HC136) |
PSS004272| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Connective tissue disorder | — | AUROC: 0.69784 [0.6789, 0.71679] | R²: 0.04664 Incremental AUROC (full-covars): 0.00559 PGS R2 (no covariates): 0.00306 PGS AUROC (no covariates): 0.55344 [0.53166, 0.57522] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007624 | PGS000960 (GBE_HC1236) |
PSS004223| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other systemic involvement of connective tissue | — | AUROC: 0.74837 [0.69221, 0.80452] | R²: 0.07626 Incremental AUROC (full-covars): 0.01769 PGS R2 (no covariates): 0.01713 PGS AUROC (no covariates): 0.61343 [0.52677, 0.7001] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007625 | PGS000960 (GBE_HC1236) |
PSS004224| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other systemic involvement of connective tissue | — | AUROC: 0.79135 [0.69278, 0.88991] | R²: 0.08369 Incremental AUROC (full-covars): -0.00465 PGS R2 (no covariates): 0.00024 PGS AUROC (no covariates): 0.5117 [0.32426, 0.69914] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007626 | PGS000960 (GBE_HC1236) |
PSS004225| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other systemic involvement of connective tissue | — | AUROC: 0.7269 [0.69558, 0.75821] | R²: 0.06786 Incremental AUROC (full-covars): 0.0075 PGS R2 (no covariates): 0.01071 PGS AUROC (no covariates): 0.59671 [0.55999, 0.63343] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007627 | PGS000960 (GBE_HC1236) |
PSS004226| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other systemic involvement of connective tissue | — | AUROC: 0.73659 [0.68777, 0.78541] | R²: 0.05742 Incremental AUROC (full-covars): 0.00733 PGS R2 (no covariates): 0.00262 PGS AUROC (no covariates): 0.54916 [0.47373, 0.62459] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007628 | PGS000960 (GBE_HC1236) |
PSS004227| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other systemic involvement of connective tissue | — | AUROC: 0.71878 [0.70158, 0.73597] | R²: 0.05953 Incremental AUROC (full-covars): 0.01514 PGS R2 (no covariates): 0.00969 PGS AUROC (no covariates): 0.59312 [0.57229, 0.61395] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007658 | PGS000967 (GBE_HC1221) |
PSS004208| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE coxarthrosis [arthrosis of hip] | — | AUROC: 0.63448 [0.57611, 0.69284] | R²: 0.02258 Incremental AUROC (full-covars): 0.01789 PGS R2 (no covariates): 0.0065 PGS AUROC (no covariates): 0.57452 [0.51022, 0.63883] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007659 | PGS000967 (GBE_HC1221) |
PSS004209| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE coxarthrosis [arthrosis of hip] | — | AUROC: 0.67991 [0.52221, 0.83761] | R²: 0.03974 Incremental AUROC (full-covars): 0.00141 PGS R2 (no covariates): 0.00044 PGS AUROC (no covariates): 0.52299 [0.39821, 0.64778] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007660 | PGS000967 (GBE_HC1221) |
PSS004210| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE coxarthrosis [arthrosis of hip] | — | AUROC: 0.71352 [0.69682, 0.73022] | R²: 0.07227 Incremental AUROC (full-covars): 0.00368 PGS R2 (no covariates): 0.00258 PGS AUROC (no covariates): 0.54164 [0.52116, 0.56213] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007661 | PGS000967 (GBE_HC1221) |
PSS004211| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE coxarthrosis [arthrosis of hip] | — | AUROC: 0.72467 [0.66733, 0.78201] | R²: 0.06598 Incremental AUROC (full-covars): -0.00237 PGS R2 (no covariates): 1e-05 PGS AUROC (no covariates): 0.50363 [0.44232, 0.56493] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007662 | PGS000967 (GBE_HC1221) |
PSS004212| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE coxarthrosis [arthrosis of hip] | — | AUROC: 0.69051 [0.68108, 0.69995] | R²: 0.06247 Incremental AUROC (full-covars): 0.00918 PGS R2 (no covariates): 0.00628 PGS AUROC (no covariates): 0.5611 [0.55051, 0.57168] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007918 | PGS001031 (GBE_HC1261) |
PSS004238| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE fibroblastic disorders | — | AUROC: 0.55976 [0.51029, 0.60922] | R²: 0.00596 Incremental AUROC (full-covars): -0.03186 PGS R2 (no covariates): 0.00184 PGS AUROC (no covariates): 0.46286 [0.41124, 0.51449] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007919 | PGS001031 (GBE_HC1261) |
PSS004239| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE fibroblastic disorders | — | AUROC: 0.61535 [0.53232, 0.69839] | R²: 0.02963 Incremental AUROC (full-covars): -0.02095 PGS R2 (no covariates): 0.00331 PGS AUROC (no covariates): 0.4468 [0.36142, 0.53217] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007920 | PGS001031 (GBE_HC1261) |
PSS004240| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE fibroblastic disorders | — | AUROC: 0.60695 [0.58839, 0.62551] | R²: 0.02173 Incremental AUROC (full-covars): 0.01126 PGS R2 (no covariates): 0.00604 PGS AUROC (no covariates): 0.55704 [0.53852, 0.57555] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007921 | PGS001031 (GBE_HC1261) |
PSS004241| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE fibroblastic disorders | — | AUROC: 0.61823 [0.59234, 0.64411] | R²: 0.02603 Incremental AUROC (full-covars): -0.00675 PGS R2 (no covariates): 2e-05 PGS AUROC (no covariates): 0.5053 [0.47836, 0.53224] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007922 | PGS001031 (GBE_HC1261) |
PSS004242| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE fibroblastic disorders | — | AUROC: 0.61508 [0.60485, 0.62531] | R²: 0.0247 Incremental AUROC (full-covars): 0.02537 PGS R2 (no covariates): 0.01088 PGS AUROC (no covariates): 0.57699 [0.56677, 0.5872] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| 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 |
| PPM008013 | PGS001051 (GBE_HC96) |
PSS004751| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Polymyalgia rheumatica | — | AUROC: 0.84007 [0.73377, 0.94637] | R²: 0.10995 Incremental AUROC (full-covars): 0.00396 PGS R2 (no covariates): 0.0041 PGS AUROC (no covariates): 0.59347 [0.45814, 0.7288] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008014 | PGS001051 (GBE_HC96) |
PSS004752| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Polymyalgia rheumatica | — | AUROC: 0.94435 [0.88977, 0.99892] | R²: 0.24363 Incremental AUROC (full-covars): 0.00372 PGS R2 (no covariates): 0.00287 PGS AUROC (no covariates): 0.45385 [0.09439, 0.81331] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008015 | PGS001051 (GBE_HC96) |
PSS004753| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Polymyalgia rheumatica | — | AUROC: 0.82077 [0.78717, 0.85438] | R²: 0.12384 Incremental AUROC (full-covars): 0.0077 PGS R2 (no covariates): 0.01385 PGS AUROC (no covariates): 0.60167 [0.54507, 0.65826] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008016 | PGS001051 (GBE_HC96) |
PSS004754| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Polymyalgia rheumatica | — | AUROC: 0.73708 [0.62459, 0.84956] | R²: 0.05254 Incremental AUROC (full-covars): 0.00266 PGS R2 (no covariates): 0.00471 PGS AUROC (no covariates): 0.54813 [0.38601, 0.71025] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008017 | PGS001051 (GBE_HC96) |
PSS004755| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Polymyalgia rheumatica | — | AUROC: 0.76042 [0.73986, 0.78098] | R²: 0.07774 Incremental AUROC (full-covars): 0.0165 PGS R2 (no covariates): 0.01265 PGS AUROC (no covariates): 0.61026 [0.58102, 0.6395] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008289 | PGS001110 (GBE_HC1209) |
PSS004183| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE reactive arthropathies | — | AUROC: 0.9594 [0.92062, 0.99818] | R²: 0.17918 Incremental AUROC (full-covars): 0.00395 PGS R2 (no covariates): 0.00991 PGS AUROC (no covariates): 0.72061 [0.49213, 0.9491] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008290 | PGS001110 (GBE_HC1209) |
PSS004185| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE reactive arthropathies | — | AUROC: 0.77096 [0.63921, 0.90271] | R²: 0.09743 Incremental AUROC (full-covars): 0.03274 PGS R2 (no covariates): 0.03411 PGS AUROC (no covariates): 0.65137 [0.47674, 0.826] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008291 | PGS001110 (GBE_HC1209) |
PSS004186| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE reactive arthropathies | — | AUROC: 0.94552 [0.83969, 1.0] | R²: 0.25627 Incremental AUROC (full-covars): 0.00045 PGS R2 (no covariates): 0.00071 PGS AUROC (no covariates): 0.67786 [0.66768, 0.68805] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008292 | PGS001110 (GBE_HC1209) |
PSS004187| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE reactive arthropathies | — | AUROC: 0.6839 [0.58647, 0.78132] | R²: 0.03053 Incremental AUROC (full-covars): 0.07922 PGS R2 (no covariates): 0.02879 PGS AUROC (no covariates): 0.66167 [0.54859, 0.77475] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008403 | PGS001135 (GBE_HC78) |
PSS004627| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arthritis (nos) | — | AUROC: 0.7166 [0.69191, 0.7413] | R²: 0.0961 Incremental AUROC (full-covars): -0.00204 PGS R2 (no covariates): 0.0 PGS AUROC (no covariates): 0.50267 [0.47421, 0.53114] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008404 | PGS001135 (GBE_HC78) |
PSS004628| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arthritis (nos) | — | AUROC: 0.78855 [0.73521, 0.8419] | R²: 0.13042 Incremental AUROC (full-covars): -0.00593 PGS R2 (no covariates): 0.00821 PGS AUROC (no covariates): 0.42483 [0.32454, 0.52511] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008405 | PGS001135 (GBE_HC78) |
PSS004629| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arthritis (nos) | — | AUROC: 0.67424 [0.65969, 0.68878] | R²: 0.05468 Incremental AUROC (full-covars): 0.00314 PGS R2 (no covariates): 0.00291 PGS AUROC (no covariates): 0.53928 [0.52302, 0.55554] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008406 | PGS001135 (GBE_HC78) |
PSS004630| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arthritis (nos) | — | AUROC: 0.71014 [0.68888, 0.73139] | R²: 0.08893 Incremental AUROC (full-covars): 0.00207 PGS R2 (no covariates): 0.00153 PGS AUROC (no covariates): 0.52639 [0.5015, 0.55128] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008407 | PGS001135 (GBE_HC78) |
PSS004631| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arthritis (nos) | — | AUROC: 0.64961 [0.64135, 0.65786] | R²: 0.04342 Incremental AUROC (full-covars): 0.00228 PGS R2 (no covariates): 0.00147 PGS AUROC (no covariates): 0.52671 [0.51771, 0.53571] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008609 | PGS001192 (GBE_HC1222) |
PSS004213| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gonarthrosis [arthrosis of knee] | — | AUROC: 0.68497 [0.65949, 0.71044] | R²: 0.07256 Incremental AUROC (full-covars): -0.01106 PGS R2 (no covariates): 0.00014 PGS AUROC (no covariates): 0.48548 [0.45782, 0.51313] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008610 | PGS001192 (GBE_HC1222) |
PSS004214| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gonarthrosis [arthrosis of knee] | — | AUROC: 0.6973 [0.62907, 0.76552] | R²: 0.05404 Incremental AUROC (full-covars): -0.01876 PGS R2 (no covariates): 0.00104 PGS AUROC (no covariates): 0.48101 [0.40847, 0.55354] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008611 | PGS001192 (GBE_HC1222) |
PSS004215| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gonarthrosis [arthrosis of knee] | — | AUROC: 0.66024 [0.6461, 0.67438] | PGS R2 (no covariates): 0.00516 R²: 0.04745 Incremental AUROC (full-covars): 0.00488 PGS AUROC (no covariates): 0.54777 [0.53172, 0.56382] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008612 | PGS001192 (GBE_HC1222) |
PSS004216| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gonarthrosis [arthrosis of knee] | — | AUROC: 0.72749 [0.70853, 0.74646] | R²: 0.11678 Incremental AUROC (full-covars): 0.00024 PGS R2 (no covariates): 0.00229 PGS AUROC (no covariates): 0.53307 [0.5103, 0.55585] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008613 | PGS001192 (GBE_HC1222) |
PSS004217| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gonarthrosis [arthrosis of knee] | — | AUROC: 0.64504 [0.63733, 0.65274] | R²: 0.04312 Incremental AUROC (full-covars): 0.0104 PGS R2 (no covariates): 0.0068 PGS AUROC (no covariates): 0.55655 [0.54824, 0.56485] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008749 | PGS001248 (GBE_HC328) |
PSS004452| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gout | — | AUROC: 0.8285 [0.79138, 0.86562] | R²: 0.15624 Incremental AUROC (full-covars): 0.01741 PGS R2 (no covariates): 0.02051 PGS AUROC (no covariates): 0.62118 [0.56505, 0.67731] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008750 | PGS001248 (GBE_HC328) |
PSS004453| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gout | — | AUROC: 0.84973 [0.79458, 0.90489] | R²: 0.22864 Incremental AUROC (full-covars): 0.02603 PGS R2 (no covariates): 0.04315 PGS AUROC (no covariates): 0.65938 [0.56975, 0.74901] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008751 | PGS001248 (GBE_HC328) |
PSS004454| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gout | — | AUROC: 0.83619 [0.82126, 0.85113] | R²: 0.17414 Incremental AUROC (full-covars): 0.02904 PGS R2 (no covariates): 0.03561 PGS AUROC (no covariates): 0.66092 [0.63744, 0.6844] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008752 | PGS001248 (GBE_HC328) |
PSS004455| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gout | — | AUROC: 0.77913 [0.74649, 0.81177] | R²: 0.11671 Incremental AUROC (full-covars): 0.03258 PGS R2 (no covariates): 0.0283 PGS AUROC (no covariates): 0.63533 [0.59256, 0.6781] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008753 | PGS001248 (GBE_HC328) |
PSS004456| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gout | — | AUROC: 0.81572 [0.80628, 0.82516] | Incremental AUROC (full-covars): 0.04061 PGS R2 (no covariates): 0.04014 R²: 0.15436 PGS AUROC (no covariates): 0.66908 [0.65556, 0.6826] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008754 | PGS001249 (GBE_HC1215) |
PSS004203| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gout | — | AUROC: 0.77537 [0.73576, 0.81498] | R²: 0.12063 Incremental AUROC (full-covars): 0.01433 PGS R2 (no covariates): 0.01201 PGS AUROC (no covariates): 0.58952 [0.54447, 0.63458] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008755 | PGS001249 (GBE_HC1215) |
PSS004204| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gout | — | AUROC: 0.8503 [0.79897, 0.90164] | R²: 0.23863 Incremental AUROC (full-covars): 0.01971 PGS R2 (no covariates): 0.02733 PGS AUROC (no covariates): 0.62617 [0.54055, 0.7118] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008756 | PGS001249 (GBE_HC1215) |
PSS004205| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gout | — | AUROC: 0.81772 [0.80388, 0.83156] | R²: 0.17135 Incremental AUROC (full-covars): 0.02929 PGS R2 (no covariates): 0.03724 PGS AUROC (no covariates): 0.65807 [0.63913, 0.67702] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008757 | PGS001249 (GBE_HC1215) |
PSS004206| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gout | — | AUROC: 0.76492 [0.73884, 0.79099] | PGS AUROC (no covariates): 0.61344 [0.57941, 0.64746] R²: 0.11928 Incremental AUROC (full-covars): 0.02377 PGS R2 (no covariates): 0.02209 |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008758 | PGS001249 (GBE_HC1215) |
PSS004207| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gout | — | AUROC: 0.79258 [0.7842, 0.80095] | R²: 0.14867 Incremental AUROC (full-covars): 0.03784 PGS R2 (no covariates): 0.03919 PGS AUROC (no covariates): 0.65389 [0.64293, 0.66484] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008840 | PGS001267 (GBE_HC422) |
PSS004486| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.86744 [0.75569, 0.97918] | R²: 0.1463 Incremental AUROC (full-covars): -0.00062 PGS R2 (no covariates): 0.00216 PGS AUROC (no covariates): 0.4722 [0.12421, 0.82018] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008841 | PGS001267 (GBE_HC422) |
PSS004487| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.98913 [0.972, 1.0] | R²: 0.44316 Incremental AUROC (full-covars): 0.0423 PGS R2 (no covariates): 0.24382 PGS AUROC (no covariates): 0.81698 [0.46329, 1.0] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008842 | PGS001267 (GBE_HC422) |
PSS004488| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.73638 [0.67151, 0.80124] | R²: 0.10414 Incremental AUROC (full-covars): 0.06004 PGS R2 (no covariates): 0.07222 PGS AUROC (no covariates): 0.67545 [0.60736, 0.74353] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008843 | PGS001267 (GBE_HC422) |
PSS004489| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.73535 [0.61203, 0.85867] | R²: 0.03713 Incremental AUROC (full-covars): -0.01782 PGS R2 (no covariates): 0.00902 PGS AUROC (no covariates): 0.42181 [0.29024, 0.55338] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008844 | PGS001267 (GBE_HC422) |
PSS004490| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.74328 [0.70673, 0.77983] | R²: 0.10925 Incremental AUROC (full-covars): 0.12994 PGS R2 (no covariates): 0.09877 PGS AUROC (no covariates): 0.72651 [0.68965, 0.76337] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008845 | PGS001268 (GBE_HC1242) |
PSS004228| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ankylosing spondylitis | — | AUROC: 0.86811 [0.75774, 0.97849] | R²: 0.14598 Incremental AUROC (full-covars): 6e-05 PGS R2 (no covariates): 0.00104 PGS AUROC (no covariates): 0.48424 [0.12443, 0.84406] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008846 | PGS001268 (GBE_HC1242) |
PSS004229| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ankylosing spondylitis | — | AUROC: 0.99148 [0.9789, 1.0] | R²: 0.44858 Incremental AUROC (full-covars): 0.04465 PGS R2 (no covariates): 0.23755 PGS AUROC (no covariates): 0.81257 [0.45025, 1.0] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008847 | PGS001268 (GBE_HC1242) |
PSS004230| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ankylosing spondylitis | — | AUROC: 0.73336 [0.66901, 0.79772] | R²: 0.10217 Incremental AUROC (full-covars): 0.0575 PGS R2 (no covariates): 0.06991 PGS AUROC (no covariates): 0.67405 [0.607, 0.74111] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008848 | PGS001268 (GBE_HC1242) |
PSS004231| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ankylosing spondylitis | — | AUROC: 0.73282 [0.61573, 0.84991] | R²: 0.03979 Incremental AUROC (full-covars): -0.01963 PGS R2 (no covariates): 0.00774 PGS AUROC (no covariates): 0.4297 [0.29438, 0.56502] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008849 | PGS001268 (GBE_HC1242) |
PSS004232| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ankylosing spondylitis | — | AUROC: 0.74878 [0.71314, 0.78442] | R²: 0.115 Incremental AUROC (full-covars): 0.12686 PGS R2 (no covariates): 0.10232 PGS AUROC (no covariates): 0.7346 [0.69884, 0.77037] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008933 | PGS001287 (GBE_HC91) |
PSS004706| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.98006 [0.94602, 1.0] | Incremental AUROC (full-covars): 0.00516 R²: 0.29301 PGS R2 (no covariates): 0.01017 PGS AUROC (no covariates): 0.72132 [0.63231, 0.81034] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008934 | PGS001287 (GBE_HC91) |
PSS004707| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.99354 [0.98059, 1.0] | R²: 0.5357 Incremental AUROC (full-covars): -0.00088 PGS R2 (no covariates): 0.00227 PGS AUROC (no covariates): 0.47826 [0.0, 0.96911] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008935 | PGS001287 (GBE_HC91) |
PSS004708| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.72814 [0.67154, 0.78475] | R²: 0.05154 Incremental AUROC (full-covars): 0.08346 PGS R2 (no covariates): 0.0335 PGS AUROC (no covariates): 0.67648 [0.61155, 0.7414] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008936 | PGS001287 (GBE_HC91) |
PSS004709| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.71827 [0.61363, 0.82292] | R²: 0.04395 Incremental AUROC (full-covars): 0.00838 PGS R2 (no covariates): 0.00229 PGS AUROC (no covariates): 0.56943 [0.44876, 0.69011] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008937 | PGS001287 (GBE_HC91) |
PSS004710| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.6376 [0.60073, 0.67447] | R²: 0.02161 Incremental AUROC (full-covars): 0.0945 PGS R2 (no covariates): 0.02111 PGS AUROC (no covariates): 0.63567 [0.598, 0.67334] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008948 | PGS001290 (GBE_HC376) |
PSS004461| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Osteoarthritis | — | AUROC: 0.75416 [0.72668, 0.78163] | R²: 0.12216 Incremental AUROC (full-covars): -3e-05 PGS R2 (no covariates): 0.00052 PGS AUROC (no covariates): 0.51951 [0.48655, 0.55248] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008949 | PGS001290 (GBE_HC376) |
PSS004462| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Osteoarthritis | — | AUROC: 0.74181 [0.68024, 0.80338] | R²: 0.09715 Incremental AUROC (full-covars): -0.00139 PGS R2 (no covariates): 0.00189 PGS AUROC (no covariates): 0.54245 [0.47153, 0.61338] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008950 | PGS001290 (GBE_HC376) |
PSS004463| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Osteoarthritis | — | AUROC: 0.70244 [0.69044, 0.71444] | R²: 0.08191 Incremental AUROC (full-covars): 0.0007 PGS R2 (no covariates): 0.0006 PGS AUROC (no covariates): 0.51661 [0.5024, 0.53082] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008951 | PGS001290 (GBE_HC376) |
PSS004464| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Osteoarthritis | — | AUROC: 0.72534 [0.70181, 0.74887] | R²: 0.09768 Incremental AUROC (full-covars): -0.00173 PGS R2 (no covariates): 1e-05 PGS AUROC (no covariates): 0.49787 [0.47035, 0.52539] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008952 | PGS001290 (GBE_HC376) |
PSS004465| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Osteoarthritis | — | AUROC: 0.67419 [0.66753, 0.68085] | R²: 0.0674 Incremental AUROC (full-covars): 0.00134 PGS R2 (no covariates): 0.00109 PGS AUROC (no covariates): 0.52166 [0.51404, 0.52927] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009039 | PGS001309 (GBE_HC1212) |
PSS004193| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other rheumatoid arthritis | — | AUROC: 0.69751 [0.65515, 0.73988] | R²: 0.05129 Incremental AUROC (full-covars): -0.00017 PGS R2 (no covariates): 0.00056 PGS AUROC (no covariates): 0.52591 [0.47486, 0.57696] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009040 | PGS001309 (GBE_HC1212) |
PSS004194| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other rheumatoid arthritis | — | AUROC: 0.67331 [0.56418, 0.78244] | R²: 0.07058 Incremental AUROC (full-covars): -0.02511 PGS R2 (no covariates): 0.0 PGS AUROC (no covariates): 0.50714 [0.3797, 0.63457] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009041 | PGS001309 (GBE_HC1212) |
PSS004195| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other rheumatoid arthritis | — | AUROC: 0.6872 [0.66167, 0.71273] | R²: 0.04826 Incremental AUROC (full-covars): 0.02601 PGS R2 (no covariates): 0.01537 PGS AUROC (no covariates): 0.59782 [0.56885, 0.62679] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009042 | PGS001309 (GBE_HC1212) |
PSS004196| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other rheumatoid arthritis | — | AUROC: 0.70239 [0.66722, 0.73755] | R²: 0.06164 Incremental AUROC (full-covars): -0.00362 PGS R2 (no covariates): 0.00158 PGS AUROC (no covariates): 0.53481 [0.4923, 0.57731] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009043 | PGS001309 (GBE_HC1212) |
PSS004197| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other rheumatoid arthritis | — | AUROC: 0.66538 [0.65101, 0.67976] | R²: 0.03893 Incremental AUROC (full-covars): 0.03207 PGS R2 (no covariates): 0.01495 PGS AUROC (no covariates): 0.59784 [0.582, 0.61368] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009044 | PGS001310 (GBE_HC430) |
PSS004491| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.70522 [0.66309, 0.74736] | R²: 0.0544 Incremental AUROC (full-covars): 0.00203 PGS R2 (no covariates): 0.00109 PGS AUROC (no covariates): 0.53147 [0.47999, 0.58294] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009045 | PGS001310 (GBE_HC430) |
PSS004492| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66116 [0.54578, 0.77655] | R²: 0.06929 Incremental AUROC (full-covars): -0.02514 PGS R2 (no covariates): 0.00033 PGS AUROC (no covariates): 0.52178 [0.38366, 0.6599] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009046 | PGS001310 (GBE_HC430) |
PSS004493| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.68857 [0.6632, 0.71393] | R²: 0.04919 Incremental AUROC (full-covars): 0.02092 PGS R2 (no covariates): 0.01316 PGS AUROC (no covariates): 0.58714 [0.55751, 0.61676] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009047 | PGS001310 (GBE_HC430) |
PSS004494| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.70402 [0.66905, 0.73899] | R²: 0.06207 Incremental AUROC (full-covars): -0.0019 PGS R2 (no covariates): 0.00142 PGS AUROC (no covariates): 0.53137 [0.48984, 0.57291] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009048 | PGS001310 (GBE_HC430) |
PSS004495| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66508 [0.65049, 0.67967] | R²: 0.03894 Incremental AUROC (full-covars): 0.03077 PGS R2 (no covariates): 0.01509 PGS AUROC (no covariates): 0.60018 [0.58428, 0.61607] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009049 | PGS001311 (GBE_HC1211) |
PSS004188| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE seropositive rheumatoid arthritis | — | AUROC: 0.90345 [0.82233, 0.98457] | R²: 0.16794 Incremental AUROC (full-covars): -0.00669 PGS R2 (no covariates): 0.01613 PGS AUROC (no covariates): 0.39273 [0.11505, 0.67041] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009050 | PGS001311 (GBE_HC1211) |
PSS004190| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE seropositive rheumatoid arthritis | — | AUROC: 0.76787 [0.6839, 0.85184] | R²: 0.08412 Incremental AUROC (full-covars): 0.0418 PGS R2 (no covariates): 0.05847 PGS AUROC (no covariates): 0.73164 [0.63667, 0.82662] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009051 | PGS001311 (GBE_HC1211) |
PSS004191| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE seropositive rheumatoid arthritis | — | AUROC: 0.76865 [0.6608, 0.87651] | R²: 0.08089 Incremental AUROC (full-covars): -0.00731 PGS R2 (no covariates): 0.00567 PGS AUROC (no covariates): 0.50626 [0.35145, 0.66107] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009052 | PGS001311 (GBE_HC1211) |
PSS004192| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE seropositive rheumatoid arthritis | — | AUROC: 0.73785 [0.69634, 0.77936] | R²: 0.05309 Incremental AUROC (full-covars): 0.09202 PGS R2 (no covariates): 0.04612 PGS AUROC (no covariates): 0.7072 [0.65945, 0.75495] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009309 | PGS001789 (1kgeur_gbmi_leaveUKBBout_Gout_pst_eff_a1_b0.5_phiauto) |
PSS007699| African Ancestry| 6,206 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Gout | — | AUROC: 0.805 | Nagelkerke's R2 (covariates regressed out): 0.01073 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| PPM009293 | PGS001789 (1kgeur_gbmi_leaveUKBBout_Gout_pst_eff_a1_b0.5_phiauto) |
PSS007712| European Ancestry| 359,345 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Gout | — | AUROC: 0.807 | Nagelkerke's R2 (covariates regressed out): 0.03121 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| PPM009304 | PGS001789 (1kgeur_gbmi_leaveUKBBout_Gout_pst_eff_a1_b0.5_phiauto) |
PSS007703| Additional Asian Ancestries| 8,184 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Gout | — | AUROC: 0.78 | Nagelkerke's R2 (covariates regressed out): 0.00748 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| PPM009382 | PGS001810 (portability-PLR_200.1) |
PSS009280| European Ancestry| 19,539 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polycythemia vera | — | — | Partial Correlation (partial-r): 0.017 [0.003, 0.031] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009383 | PGS001810 (portability-PLR_200.1) |
PSS009054| European Ancestry| 4,052 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polycythemia vera | — | — | Partial Correlation (partial-r): 0.0195 [-0.0114, 0.0503] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009384 | PGS001810 (portability-PLR_200.1) |
PSS008608| European Ancestry| 6,489 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polycythemia vera | — | — | Partial Correlation (partial-r): 0.026 [0.0016, 0.0503] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009385 | PGS001810 (portability-PLR_200.1) |
PSS008384| Greater Middle Eastern Ancestry| 1,178 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polycythemia vera | — | — | Partial Correlation (partial-r): -0.0173 [-0.0748, 0.0404] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009386 | PGS001810 (portability-PLR_200.1) |
PSS008162| South Asian Ancestry| 6,171 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polycythemia vera | — | — | Partial Correlation (partial-r): -0.0038 [-0.0288, 0.0212] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009387 | PGS001810 (portability-PLR_200.1) |
PSS007949| East Asian Ancestry| 1,787 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polycythemia vera | — | — | Partial Correlation (partial-r): -0.0072 [-0.0538, 0.0395] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009476 | PGS001822 (portability-PLR_274.1) |
PSS009292| European Ancestry| 19,983 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0364 [0.0226, 0.0503] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009477 | PGS001822 (portability-PLR_274.1) |
PSS009066| European Ancestry| 4,135 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.043 [0.0125, 0.0735] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009478 | PGS001822 (portability-PLR_274.1) |
PSS008620| European Ancestry| 6,655 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0538 [0.0297, 0.0777] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009479 | PGS001822 (portability-PLR_274.1) |
PSS008396| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0122 [-0.0449, 0.0692] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009480 | PGS001822 (portability-PLR_274.1) |
PSS008174| South Asian Ancestry| 6,325 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0166 [-0.008, 0.0413] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009481 | PGS001822 (portability-PLR_274.1) |
PSS007961| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0287 [-0.0176, 0.075] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009482 | PGS001822 (portability-PLR_274.1) |
PSS007742| African Ancestry| 2,480 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0314 [-0.0082, 0.0708] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009483 | PGS001822 (portability-PLR_274.1) |
PSS008845| African Ancestry| 3,918 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0294 [-0.002, 0.0607] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009849 | PGS001870 (portability-PLR_695.4) |
PSS009346| European Ancestry| 19,585 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.0184 [0.0043, 0.0324] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009850 | PGS001870 (portability-PLR_695.4) |
PSS009120| European Ancestry| 4,047 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.021 [-0.0099, 0.0518] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009851 | PGS001870 (portability-PLR_695.4) |
PSS008674| European Ancestry| 6,535 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0073 [-0.0315, 0.017] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009852 | PGS001870 (portability-PLR_695.4) |
PSS008448| Greater Middle Eastern Ancestry| 1,184 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0184 [-0.0757, 0.0391] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009854 | PGS001870 (portability-PLR_695.4) |
PSS008009| East Asian Ancestry| 1,785 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.0023 [-0.0444, 0.0489] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009855 | PGS001870 (portability-PLR_695.4) |
PSS007793| African Ancestry| 2,428 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0163 [-0.0562, 0.0236] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009856 | PGS001870 (portability-PLR_695.4) |
PSS008897| African Ancestry| 3,872 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0061 [-0.0377, 0.0255] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009853 | PGS001870 (portability-PLR_695.4) |
PSS008228| South Asian Ancestry| 6,185 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.0029 [-0.0221, 0.0278] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009865 | PGS001872 (portability-PLR_697) |
PSS009348| European Ancestry| 19,670 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sarcoidosis | — | — | Partial Correlation (partial-r): 0.0199 [0.0059, 0.0338] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009866 | PGS001872 (portability-PLR_697) |
PSS009122| European Ancestry| 4,059 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sarcoidosis | — | — | Partial Correlation (partial-r): 0.0123 [-0.0186, 0.0431] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009867 | PGS001872 (portability-PLR_697) |
PSS008676| European Ancestry| 6,565 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sarcoidosis | — | — | Partial Correlation (partial-r): 0.0166 [-0.0076, 0.0408] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009868 | PGS001872 (portability-PLR_697) |
PSS008450| Greater Middle Eastern Ancestry| 1,186 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sarcoidosis | — | — | Partial Correlation (partial-r): 0.0554 [-0.002, 0.1124] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009869 | PGS001872 (portability-PLR_697) |
PSS008230| South Asian Ancestry| 6,194 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sarcoidosis | — | — | Partial Correlation (partial-r): 0.018 [-0.0069, 0.0429] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009871 | PGS001872 (portability-PLR_697) |
PSS008899| African Ancestry| 3,882 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sarcoidosis | — | — | Partial Correlation (partial-r): 0.0332 [0.0017, 0.0647] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009870 | PGS001872 (portability-PLR_697) |
PSS007795| African Ancestry| 2,441 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sarcoidosis | — | — | Partial Correlation (partial-r): 0.0157 [-0.0242, 0.0555] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009888 | PGS001875 (portability-PLR_714.1) |
PSS009352| European Ancestry| 18,393 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0416 [0.0272, 0.056] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009889 | PGS001875 (portability-PLR_714.1) |
PSS009126| European Ancestry| 3,878 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0554 [0.0239, 0.0868] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009890 | PGS001875 (portability-PLR_714.1) |
PSS008680| European Ancestry| 6,241 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0322 [0.0073, 0.057] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009891 | PGS001875 (portability-PLR_714.1) |
PSS008454| Greater Middle Eastern Ancestry| 1,128 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0363 [-0.0226, 0.095] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009892 | PGS001875 (portability-PLR_714.1) |
PSS008234| South Asian Ancestry| 5,728 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0097 [-0.0163, 0.0356] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009893 | PGS001875 (portability-PLR_714.1) |
PSS008014| East Asian Ancestry| 1,754 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0277 [-0.0194, 0.0746] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009894 | PGS001875 (portability-PLR_714.1) |
PSS007799| African Ancestry| 2,277 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): -0.0138 [-0.055, 0.0275] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009895 | PGS001875 (portability-PLR_714.1) |
PSS008903| African Ancestry| 3,634 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): -0.0251 [-0.0577, 0.0075] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009896 | PGS001876 (portability-PLR_715.2) |
PSS009353| European Ancestry| 18,262 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.0797 [0.0653, 0.0941] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009897 | PGS001876 (portability-PLR_715.2) |
PSS009127| European Ancestry| 3,854 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.0453 [0.0137, 0.0769] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009898 | PGS001876 (portability-PLR_715.2) |
PSS008681| European Ancestry| 6,216 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.0521 [0.0272, 0.0769] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009899 | PGS001876 (portability-PLR_715.2) |
PSS008455| Greater Middle Eastern Ancestry| 1,124 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.1472 [0.0889, 0.2044] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009900 | PGS001876 (portability-PLR_715.2) |
PSS008235| South Asian Ancestry| 5,671 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.0279 [0.0019, 0.054] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009909 | PGS001878 (portability-PLR_717) |
PSS009355| European Ancestry| 20,000 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polymyalgia Rheumatica | — | — | Partial Correlation (partial-r): 0.0215 [0.0076, 0.0353] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009911 | PGS001878 (portability-PLR_717) |
PSS008683| European Ancestry| 6,660 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polymyalgia Rheumatica | — | — | Partial Correlation (partial-r): 0.0135 [-0.0105, 0.0376] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009912 | PGS001878 (portability-PLR_717) |
PSS008457| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polymyalgia Rheumatica | — | — | Partial Correlation (partial-r): 0.0172 [-0.0399, 0.0742] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009913 | PGS001878 (portability-PLR_717) |
PSS008237| South Asian Ancestry| 6,331 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polymyalgia Rheumatica | — | — | Partial Correlation (partial-r): 0.0191 [-0.0056, 0.0438] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009914 | PGS001878 (portability-PLR_717) |
PSS008016| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polymyalgia Rheumatica | — | — | Partial Correlation (partial-r): -0.0064 [-0.0527, 0.0399] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009915 | PGS001878 (portability-PLR_717) |
PSS007801| African Ancestry| 2,484 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polymyalgia Rheumatica | — | — | Partial Correlation (partial-r): 0.0191 [-0.0204, 0.0585] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009916 | PGS001878 (portability-PLR_717) |
PSS008905| African Ancestry| 3,924 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polymyalgia Rheumatica | — | — | Partial Correlation (partial-r): 0.0283 [-0.0031, 0.0596] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009910 | PGS001878 (portability-PLR_717) |
PSS009129| European Ancestry| 4,136 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polymyalgia Rheumatica | — | — | Partial Correlation (partial-r): 0.0281 [-0.0025, 0.0586] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009940 | PGS001882 (portability-PLR_740) |
PSS009359| European Ancestry| 20,000 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoarthrosis | — | — | Partial Correlation (partial-r): 0.0409 [0.027, 0.0547] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009941 | PGS001882 (portability-PLR_740) |
PSS009133| European Ancestry| 4,136 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoarthrosis | — | — | Partial Correlation (partial-r): 0.0415 [0.0109, 0.0719] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009942 | PGS001882 (portability-PLR_740) |
PSS008687| European Ancestry| 6,660 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoarthrosis | — | — | Partial Correlation (partial-r): 0.0357 [0.0117, 0.0597] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009943 | PGS001882 (portability-PLR_740) |
PSS008461| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoarthrosis | — | — | Partial Correlation (partial-r): 0.0326 [-0.0246, 0.0895] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009944 | PGS001882 (portability-PLR_740) |
PSS008241| South Asian Ancestry| 6,331 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoarthrosis | — | — | Partial Correlation (partial-r): 0.0211 [-0.0036, 0.0457] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009945 | PGS001882 (portability-PLR_740) |
PSS008019| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoarthrosis | — | — | Partial Correlation (partial-r): 0.0051 [-0.0412, 0.0514] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009946 | PGS001882 (portability-PLR_740) |
PSS007805| African Ancestry| 2,484 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoarthrosis | — | — | Partial Correlation (partial-r): 0.0312 [-0.0083, 0.0706] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009947 | PGS001882 (portability-PLR_740) |
PSS008909| African Ancestry| 3,924 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoarthrosis | — | — | Partial Correlation (partial-r): 0.0103 [-0.0211, 0.0417] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011116 | PGS002030 (portability-ldpred2_274.1) |
PSS008620| European Ancestry| 6,655 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0476 [0.0236, 0.0716] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011114 | PGS002030 (portability-ldpred2_274.1) |
PSS009292| European Ancestry| 19,983 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0415 [0.0277, 0.0554] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011115 | PGS002030 (portability-ldpred2_274.1) |
PSS009066| European Ancestry| 4,135 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.047 [0.0165, 0.0775] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011117 | PGS002030 (portability-ldpred2_274.1) |
PSS008396| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): -0.0053 [-0.0623, 0.0518] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011118 | PGS002030 (portability-ldpred2_274.1) |
PSS008174| South Asian Ancestry| 6,325 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0231 [-0.0015, 0.0478] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011119 | PGS002030 (portability-ldpred2_274.1) |
PSS007961| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0262 [-0.0201, 0.0725] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011120 | PGS002030 (portability-ldpred2_274.1) |
PSS007742| African Ancestry| 2,480 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0336 [-0.006, 0.073] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011121 | PGS002030 (portability-ldpred2_274.1) |
PSS008845| African Ancestry| 3,918 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0254 [-0.006, 0.0568] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011517 | PGS002082 (portability-ldpred2_695.4) |
PSS009346| European Ancestry| 19,585 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.0212 [0.0072, 0.0352] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011518 | PGS002082 (portability-ldpred2_695.4) |
PSS009120| European Ancestry| 4,047 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.0268 [-0.0041, 0.0577] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011519 | PGS002082 (portability-ldpred2_695.4) |
PSS008674| European Ancestry| 6,535 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0096 [-0.0338, 0.0147] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011520 | PGS002082 (portability-ldpred2_695.4) |
PSS008448| Greater Middle Eastern Ancestry| 1,184 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0045 [-0.0619, 0.053] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011521 | PGS002082 (portability-ldpred2_695.4) |
PSS008228| South Asian Ancestry| 6,185 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.005 [-0.0199, 0.03] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011522 | PGS002082 (portability-ldpred2_695.4) |
PSS008009| East Asian Ancestry| 1,785 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.0076 [-0.0391, 0.0543] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011523 | PGS002082 (portability-ldpred2_695.4) |
PSS007793| African Ancestry| 2,428 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0113 [-0.0512, 0.0287] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011524 | PGS002082 (portability-ldpred2_695.4) |
PSS008897| African Ancestry| 3,872 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0062 [-0.0378, 0.0254] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011533 | PGS002084 (portability-ldpred2_697) |
PSS009348| European Ancestry| 19,670 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sarcoidosis | — | — | Partial Correlation (partial-r): 0.0184 [0.0044, 0.0324] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011534 | PGS002084 (portability-ldpred2_697) |
PSS009122| European Ancestry| 4,059 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sarcoidosis | — | — | Partial Correlation (partial-r): 0.0038 [-0.0271, 0.0346] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011535 | PGS002084 (portability-ldpred2_697) |
PSS008676| European Ancestry| 6,565 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sarcoidosis | — | — | Partial Correlation (partial-r): 0.0103 [-0.0139, 0.0345] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011536 | PGS002084 (portability-ldpred2_697) |
PSS008450| Greater Middle Eastern Ancestry| 1,186 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sarcoidosis | — | — | Partial Correlation (partial-r): 0.0603 [0.0029, 0.1173] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011537 | PGS002084 (portability-ldpred2_697) |
PSS008230| South Asian Ancestry| 6,194 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sarcoidosis | — | — | Partial Correlation (partial-r): 0.0182 [-0.0067, 0.0432] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011538 | PGS002084 (portability-ldpred2_697) |
PSS007795| African Ancestry| 2,441 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sarcoidosis | — | — | Partial Correlation (partial-r): 0.0131 [-0.0268, 0.0529] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011539 | PGS002084 (portability-ldpred2_697) |
PSS008899| African Ancestry| 3,882 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sarcoidosis | — | — | Partial Correlation (partial-r): 0.0187 [-0.0128, 0.0502] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011564 | PGS002088 (portability-ldpred2_714.1) |
PSS009352| European Ancestry| 18,393 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0434 [0.029, 0.0578] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011565 | PGS002088 (portability-ldpred2_714.1) |
PSS009126| European Ancestry| 3,878 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0532 [0.0217, 0.0846] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011566 | PGS002088 (portability-ldpred2_714.1) |
PSS008680| European Ancestry| 6,241 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0284 [0.0036, 0.0532] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011568 | PGS002088 (portability-ldpred2_714.1) |
PSS008234| South Asian Ancestry| 5,728 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0135 [-0.0125, 0.0394] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011569 | PGS002088 (portability-ldpred2_714.1) |
PSS008014| East Asian Ancestry| 1,754 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0226 [-0.0245, 0.0696] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011570 | PGS002088 (portability-ldpred2_714.1) |
PSS007799| African Ancestry| 2,277 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): -0.0007 [-0.0419, 0.0406] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011571 | PGS002088 (portability-ldpred2_714.1) |
PSS008903| African Ancestry| 3,634 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): -0.0214 [-0.054, 0.0112] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011567 | PGS002088 (portability-ldpred2_714.1) |
PSS008454| Greater Middle Eastern Ancestry| 1,128 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0403 [-0.0186, 0.099] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011572 | PGS002089 (portability-ldpred2_715.2) |
PSS009353| European Ancestry| 18,262 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.0919 [0.0775, 0.1063] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011573 | PGS002089 (portability-ldpred2_715.2) |
PSS009127| European Ancestry| 3,854 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.0476 [0.016, 0.0791] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011574 | PGS002089 (portability-ldpred2_715.2) |
PSS008681| European Ancestry| 6,216 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.0596 [0.0348, 0.0844] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011576 | PGS002089 (portability-ldpred2_715.2) |
PSS008235| South Asian Ancestry| 5,671 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.0424 [0.0163, 0.0684] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011575 | PGS002089 (portability-ldpred2_715.2) |
PSS008455| Greater Middle Eastern Ancestry| 1,124 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.1631 [0.1051, 0.22] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011585 | PGS002091 (portability-ldpred2_717) |
PSS009355| European Ancestry| 20,000 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polymyalgia Rheumatica | — | — | Partial Correlation (partial-r): 0.0222 [0.0084, 0.0361] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011586 | PGS002091 (portability-ldpred2_717) |
PSS009129| European Ancestry| 4,136 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polymyalgia Rheumatica | — | — | Partial Correlation (partial-r): 0.0201 [-0.0104, 0.0506] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011587 | PGS002091 (portability-ldpred2_717) |
PSS008683| European Ancestry| 6,660 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polymyalgia Rheumatica | — | — | Partial Correlation (partial-r): 0.0127 [-0.0113, 0.0368] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011588 | PGS002091 (portability-ldpred2_717) |
PSS008457| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polymyalgia Rheumatica | — | — | Partial Correlation (partial-r): 0.0089 [-0.0482, 0.0659] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011589 | PGS002091 (portability-ldpred2_717) |
PSS008237| South Asian Ancestry| 6,331 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polymyalgia Rheumatica | — | — | Partial Correlation (partial-r): 0.0224 [-0.0023, 0.047] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011590 | PGS002091 (portability-ldpred2_717) |
PSS008016| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polymyalgia Rheumatica | — | — | Partial Correlation (partial-r): -0.0123 [-0.0586, 0.0341] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011591 | PGS002091 (portability-ldpred2_717) |
PSS007801| African Ancestry| 2,484 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polymyalgia Rheumatica | — | — | Partial Correlation (partial-r): 0.0205 [-0.0191, 0.0599] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011592 | PGS002091 (portability-ldpred2_717) |
PSS008905| African Ancestry| 3,924 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polymyalgia Rheumatica | — | — | Partial Correlation (partial-r): 0.0283 [-0.003, 0.0596] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011608 | PGS002094 (portability-ldpred2_740) |
PSS009359| European Ancestry| 20,000 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoarthrosis | — | — | Partial Correlation (partial-r): 0.0535 [0.0397, 0.0673] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011609 | PGS002094 (portability-ldpred2_740) |
PSS009133| European Ancestry| 4,136 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoarthrosis | — | — | Partial Correlation (partial-r): 0.0612 [0.0307, 0.0916] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011610 | PGS002094 (portability-ldpred2_740) |
PSS008687| European Ancestry| 6,660 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoarthrosis | — | — | Partial Correlation (partial-r): 0.0544 [0.0304, 0.0783] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011611 | PGS002094 (portability-ldpred2_740) |
PSS008461| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoarthrosis | — | — | Partial Correlation (partial-r): 0.025 [-0.0321, 0.082] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011612 | PGS002094 (portability-ldpred2_740) |
PSS008241| South Asian Ancestry| 6,331 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoarthrosis | — | — | Partial Correlation (partial-r): 0.0394 [0.0148, 0.064] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011613 | PGS002094 (portability-ldpred2_740) |
PSS008019| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoarthrosis | — | — | Partial Correlation (partial-r): -0.0056 [-0.052, 0.0407] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011614 | PGS002094 (portability-ldpred2_740) |
PSS007805| African Ancestry| 2,484 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoarthrosis | — | — | Partial Correlation (partial-r): 0.0412 [0.0017, 0.0806] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011615 | PGS002094 (portability-ldpred2_740) |
PSS008909| African Ancestry| 3,924 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoarthrosis | — | — | Partial Correlation (partial-r): 0.022 [-0.0094, 0.0534] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012870 | PGS002260 (PRS_RA) |
PSS009586| East Asian Ancestry| 740 individuals |
PGP000286 | Honda S et al. Arthritis Rheumatol (2022) |
Reported Trait: Severe radiographic progression in patients with rheumatoid arthritis | — | — | OR (top vs 2nd quintile): 1.87 [1.11, 3.15] | — | — |
| PPM012871 | PGS002260 (PRS_RA) |
PSS009586| East Asian Ancestry| 740 individuals |
PGP000286 | Honda S et al. Arthritis Rheumatol (2022) |
Reported Trait: Severe radiographic progression in patients with rheumatoid arthritis (age of onset <40 years) | — | — | OR (top vs 2nd quintile): 6.29 [1.85, 21.4] | — | — |
| PPM012872 | PGS002260 (PRS_RA) |
PSS009586| East Asian Ancestry| 740 individuals |
PGP000286 | Honda S et al. Arthritis Rheumatol (2022) |
Reported Trait: Severe radiographic progression in patients with rheumatoid arthritis | OR: 1.3 [1.13, 1.5] | — | — | Age of onset, sex, ever-smoker, ACPAs positivity, rheumatoid factor positivity, BMI, periodontitis, use of methotrexate, use of bDMARD, HLA-DRB1 (Ser11) | — |
| 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 | — |
| PPM013045 | PGS002307 (PRS33_gout) |
PSS009665| European Ancestry| 416,481 individuals |
PGP000329 | Zhang Y et al. BMC Med (2022) |
Reported Trait: Incident gout | — | — | Hazard Ratio (HR, highest vs. lowest tertile): 1.77 [1.66, 1.89] | Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI) | — |
| PPM013046 | PGS002307 (PRS33_gout) |
PSS009665| European Ancestry| 416,481 individuals |
PGP000329 | Zhang Y et al. BMC Med (2022) |
Reported Trait: Incident gout without cardiometabolic diseases | — | — | Hazard Ratio (HR, highest vs. lowest tertile): 4.94 [3.91, 6.23] | Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), Unfavorable lifestyle | — |
| PPM013047 | PGS002307 (PRS33_gout) |
PSS009665| European Ancestry| 416,481 individuals |
PGP000329 | Zhang Y et al. BMC Med (2022) |
Reported Trait: Incident gout with cardiometabolic diseases | — | — | Hazard Ratio (HR, highest vs. lowest tertile): 3.0 [2.62, 3.43] | Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), Unfavorable lifestyle | — |
| PPM013048 | PGS002307 (PRS33_gout) |
PSS009665| European Ancestry| 416,481 individuals |
PGP000329 | Zhang Y et al. BMC Med (2022) |
Reported Trait: Incident gout | — | — | Hazard Ratio (HR, middle vs. lowest tertile): 1.53 [1.35, 1.74] | Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), favorable lifestyle | — |
| PPM013049 | PGS002307 (PRS33_gout) |
PSS009665| European Ancestry| 416,481 individuals |
PGP000329 | Zhang Y et al. BMC Med (2022) |
Reported Trait: Incident gout | — | — | Hazard Ratio (HR, middle vs. lowest tertile): 2.39 [2.12, 2.7] | Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), unfavorable lifestyle | — |
| PPM013050 | PGS002307 (PRS33_gout) |
PSS009665| European Ancestry| 416,481 individuals |
PGP000329 | Zhang Y et al. BMC Med (2022) |
Reported Trait: Incident gout | — | — | Hazard Ratio (HR, highest vs. lowest tertile): 1.98 [1.75, 2.24] | Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), favorable lifestyle | — |
| PPM013044 | PGS002307 (PRS33_gout) |
PSS009665| European Ancestry| 416,481 individuals |
PGP000329 | Zhang Y et al. BMC Med (2022) |
Reported Trait: Incident gout | — | — | Hazard Ratio (HR, middle vs. lowest tertile): 1.44 [1.35, 1.54] | Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI) | — |
| PPM013051 | PGS002307 (PRS33_gout) |
PSS009665| European Ancestry| 416,481 individuals |
PGP000329 | Zhang Y et al. BMC Med (2022) |
Reported Trait: Incident gout | — | — | Hazard Ratio (HR, highest vs. lowest tertile): 3.13 [2.79, 3.52] | Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), unfavorable lifestyle | — |
| PPM020291 | PGS002307 (PRS33_gout) |
PSS011325| European Ancestry| 181,559 individuals |
PGP000540 | Zhang T et al. Rheumatology (Oxford) (2023) |Ext. |
Reported Trait: Incident gout with ultraprocessed food consumption | — | — | Hazard ratio (HR, high UPF consumption and highest PRS quartile vs. low UPF consumption and lowest PRS quartile): 1.9 [1.39, 2.6] | age, sex, BMI, education levels, Townsend deprivation index, physical activity, smoking status, drinking status, family history of diseases (hypertension, cardiovascular disease, and diabetes), healthy diet score, ultra-processed food consumption, medical history of hypertension, diabetes, kidney disease, cancer, and cardiovascular disease, first ten genetic principal components and genotype measurement batch | — |
| PPM014781 | PGS002728 (PRS_hip) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Incident severe radiographic osteoarthritis | OR: 1.33 [1.12, 1.59] | — | — | — | — |
| PPM014756 | PGS002728 (PRS_hip) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Prevalent radiographic osteoarthritis | OR: 1.19 [1.1, 1.28] | — | — | — | — |
| PPM014757 | PGS002728 (PRS_hip) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Incident radiographic osteoarthritis | OR: 1.15 [1.05, 1.26] | — | — | — | — |
| PPM014758 | PGS002728 (PRS_hip) |
PSS009889| European Ancestry| 1,002 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Prevalent radiographic osteoarthritis | OR: 1.28 [0.98, 1.65] | — | — | — | — |
| PPM014759 | PGS002728 (PRS_hip) |
PSS009889| European Ancestry| 1,002 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Incident radiographic osteoarthritis | OR: 0.95 [0.82, 1.11] | — | — | — | — |
| PPM014766 | PGS002728 (PRS_hip) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Prevalent clinical osteoarthritis | OR: 1.3 [1.15, 1.46] | — | — | — | — |
| PPM014767 | PGS002728 (PRS_hip) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Incident clinical osteoarthritis | OR: 1.22 [0.98, 1.51] | — | — | — | — |
| PPM014768 | PGS002728 (PRS_hip) |
PSS009889| European Ancestry| 1,002 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Incident clinical osteoarthritis | OR: 0.92 [0.74, 1.14] | — | — | — | — |
| PPM014773 | PGS002728 (PRS_hip) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Prevalent total hip replacement | OR: 1.26 [1.12, 1.41] | — | — | — | — |
| PPM014774 | PGS002728 (PRS_hip) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Incident total hip replacement | OR: 1.28 [1.11, 1.48] | — | — | — | — |
| PPM014775 | PGS002728 (PRS_hip) |
PSS009889| European Ancestry| 1,002 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Incident total hip replacement | OR: 1.09 [0.79, 1.47] | — | — | — | — |
| PPM014779 | PGS002728 (PRS_hip) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Radiographic osteoarthritis progression | OR: 1.18 [1.09, 1.28] | — | — | — | — |
| PPM014783 | PGS002728 (PRS_hip) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Radiographic osteoarthritis | — | AUROC: 0.59 [0.56, 0.61] | — | Age, sex | — |
| PPM014784 | PGS002728 (PRS_hip) |
PSS009889| European Ancestry| 1,002 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Radiographic osteoarthritis | — | AUROC: 0.62 [0.58, 0.65] | — | Age, sex | — |
| PPM014785 | PGS002728 (PRS_hip) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Clinical osteoarthritis | — | AUROC: 0.62 [0.56, 0.68] | — | Age, sex | — |
| PPM014786 | PGS002728 (PRS_hip) |
PSS009889| European Ancestry| 1,002 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Clinical osteoarthritis | — | AUROC: 0.53 [0.47, 0.59] | — | Age, sex | — |
| PPM014787 | PGS002728 (PRS_hip) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Total hip replacement | — | AUROC: 0.66 [0.62, 0.70] | — | Age, sex | — |
| PPM014788 | PGS002728 (PRS_hip) |
PSS009889| European Ancestry| 1,002 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Total hip replacement | — | AUROC: 0.64 [0.55, 0.73] | — | Age, sex | — |
| PPM014760 | PGS002729 (PRS_knee) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Prevalent radiographic osteoarthritis | OR: 1.17 [1.1, 1.24] | — | — | — | — |
| PPM014771 | PGS002729 (PRS_knee) |
PSS009889| European Ancestry| 1,002 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Incident clinical osteoarthritis | OR: 1.26 [1.05, 1.52] | — | — | — | — |
| PPM014793 | PGS002729 (PRS_knee) |
PSS009889| European Ancestry| 1,002 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Clinical osteoarthritis | — | AUROC: 0.6 [0.55, 0.65] | — | Age, sex, BMI | — |
| PPM014761 | PGS002729 (PRS_knee) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Incident radiographic osteoarthritis | OR: 1.15 [1.06, 1.24] | — | — | — | — |
| PPM014762 | PGS002729 (PRS_knee) |
PSS009889| European Ancestry| 1,002 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Prevalent radiographic osteoarthritis | OR: 1.27 [0.96, 1.68] | — | — | — | — |
| PPM014763 | PGS002729 (PRS_knee) |
PSS009889| European Ancestry| 1,002 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Incident radiographic osteoarthritis | OR: 1.09 [0.93, 1.29] | — | — | — | — |
| PPM014764 | PGS002729 (PRS_knee) |
PSS009890| European Ancestry| 407 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Prevalent radiographic osteoarthritis | OR: 1.02 [0.69, 1.53] | — | — | — | — |
| PPM014765 | PGS002729 (PRS_knee) |
PSS009890| European Ancestry| 407 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Incident radiographic osteoarthritis | OR: 1.04 [0.75, 1.45] | — | — | — | — |
| PPM014769 | PGS002729 (PRS_knee) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Prevalent clinical osteoarthritis | OR: 1.23 [1.12, 1.34] | — | — | — | — |
| PPM014770 | PGS002729 (PRS_knee) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Incident clinical osteoarthritis | OR: 1.13 [0.94, 1.37] | — | — | — | — |
| PPM014772 | PGS002729 (PRS_knee) |
PSS009890| European Ancestry| 407 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Incident clinical osteoarthritis | OR: 1.17 [0.8, 1.73] | — | — | — | — |
| PPM014776 | PGS002729 (PRS_knee) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Prevalent total knee replacement | OR: 1.3 [0.99, 1.71] | — | — | — | — |
| PPM014777 | PGS002729 (PRS_knee) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Incident total knee replacement | OR: 1.56 [1.27, 1.91] | — | — | — | — |
| PPM014778 | PGS002729 (PRS_knee) |
PSS009889| European Ancestry| 1,002 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Incident total knee replacement | OR: 1.16 [0.65, 2.17] | — | — | — | — |
| PPM014780 | PGS002729 (PRS_knee) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Radiographic osteoarthritis progression | OR: 1.18 [1.11, 1.25] | — | — | — | — |
| PPM014782 | PGS002729 (PRS_knee) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Incident severe radiographic osteoarthritis | OR: 1.3 [1.04, 1.63] | — | — | — | — |
| PPM014789 | PGS002729 (PRS_knee) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Radiographic osteoarthritis | — | AUROC: 0.6 [0.58, 0.63] | — | Age, sex, BMI | — |
| PPM014790 | PGS002729 (PRS_knee) |
PSS009889| European Ancestry| 1,002 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Radiographic osteoarthritis | — | AUROC: 0.57 [0.53, 0.62] | — | Age, sex, BMI | — |
| PPM014791 | PGS002729 (PRS_knee) |
PSS009890| European Ancestry| 407 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Radiographic osteoarthritis | — | AUROC: 0.53 [0.44, 0.63] | — | Age, BMI | — |
| PPM014792 | PGS002729 (PRS_knee) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Clinical osteoarthritis | — | AUROC: 0.66 [0.61, 0.71] | — | Age, sex, BMI | — |
| PPM014794 | PGS002729 (PRS_knee) |
PSS009890| European Ancestry| 407 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Clinical osteoarthritis | — | AUROC: 0.52 [0.41, 0.63] | — | Age, BMI | — |
| PPM014795 | PGS002729 (PRS_knee) |
PSS009891| European Ancestry| 14,926 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Total hip replacement | — | AUROC: 0.66 [0.61, 0.71] | — | Age, sex, BMI | — |
| PPM014796 | PGS002729 (PRS_knee) |
PSS009889| European Ancestry| 1,002 individuals |
PGP000336 | Sedaghati-Khayat B et al. Arthritis Rheumatol (2022) |
Reported Trait: Total hip replacement | — | AUROC: 0.65 [0.49, 0.82] | — | Age, sex, BMI | — |
| PPM014915 | PGS002745 (metaPGS_RA) |
PSS009927| Multi-ancestry (including European)| 7,460 individuals |
PGP000357 | Ishigaki K et al. Nat Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.65 | Liability R2: 0.054 | Sex, Genotype PCs | Performance metrics are the mean values across eave-one-cohort-out cross-validation folds |
| PPM014916 | PGS002745 (metaPGS_RA) |
PSS009930| European Ancestry| 3,887 individuals |
PGP000357 | Ishigaki K et al. Nat Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66 | Liability R2: 0.059 | Sex, Genotype PCs | Performance metrics are the mean values across eave-one-cohort-out cross-validation folds |
| PPM014917 | PGS002745 (metaPGS_RA) |
PSS009929| East Asian Ancestry| 21,704 individuals |
PGP000357 | Ishigaki K et al. Nat Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66 | Liability R2: 0.057 | Sex, Genotype PCs | Performance metrics are the mean values across eave-one-cohort-out cross-validation folds |
| PPM014918 | PGS002745 (metaPGS_RA) |
PSS009928| Multi-ancestry (excluding European)| 1,304 individuals |
PGP000357 | Ishigaki K et al. Nat Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.59 | Liability R2: 0.018 | Sex, Genotype PCs | Performance metrics are the mean values across eave-one-cohort-out cross-validation folds |
| PPM014939 | PGS002749 (PRS10_TKR) |
PSS009936| European Ancestry| 1,422 individuals |
PGP000362 | Lacaze P et al. Arthritis Rheumatol (2022) |
Reported Trait: Knee replacement | OR: 1.13 [1.07, 1.2] | — | — | Age, sex, body mass index, education, and index of relative socioeconomic advantage and disadvantage | — |
| PPM014940 | PGS002750 (PRS37_THR) |
PSS009935| European Ancestry| 1,257 individuals |
PGP000362 | Lacaze P et al. Arthritis Rheumatol (2022) |
Reported Trait: Hip replacement | OR: 1.23 [1.16, 1.3] | — | — | Age, sex, body mass index, education, and index of relative socioeconomic advantage and disadvantage | — |
| PPM014941 | PGS002750 (PRS37_THR) |
PSS009935| European Ancestry| 1,257 individuals |
PGP000362 | Lacaze P et al. Arthritis Rheumatol (2022) |
Reported Trait: Hip replacement in men | OR: 1.15 [1.06, 1.26] | — | — | Age, body mass index, education, and index of relative socioeconomic advantage and disadvantage | — |
| PPM014942 | PGS002750 (PRS37_THR) |
PSS009935| European Ancestry| 1,257 individuals |
PGP000362 | Lacaze P et al. Arthritis Rheumatol (2022) |
Reported Trait: Hip replacement in women | OR: 1.3 [1.2, 1.4] | — | — | Age, body mass index, education, and index of relative socioeconomic advantage and disadvantage | — |
| PPM014962 | PGS002762 (Urate_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Gout | OR: 1.69 [1.6, 1.78] | — | — | age, sex, 10 PCs, technical covariates | — |
| PPM014963 | PGS002763 (Hip_osteoarthritis_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Hip osteoarthritis | OR: 1.38 [1.31, 1.46] | — | — | age, sex, 10 PCs, technical covariates | — |
| PPM014967 | PGS002767 (Knee_osteoarthritis_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Knee osteoarthritis | OR: 1.35 [1.3, 1.4] | — | — | age, sex, 10 PCs, technical covariates | — |
| PPM014969 | PGS002769 (Rheumatoid_arthritis_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Seropositive rheumatoid arthritis | OR: 1.72 [1.61, 1.83] | — | — | age, sex, 10 PCs, technical covariates | — |
| PPM016117 | PGS003329 (PRS19_gout) |
PSS010039| European Ancestry| 5,522 individuals |
PGP000394 | Sumpter NA et al. Arthritis Rheumatol (2022) |
Reported Trait: Age at onset of gout (in men) | β: -3.61 [-4.32, -2.9] | — | — | 10 Global PCs | — |
| PPM016120 | PGS003329 (PRS19_gout) |
PSS010039| European Ancestry| 5,522 individuals |
PGP000394 | Sumpter NA et al. Arthritis Rheumatol (2022) |
Reported Trait: Tophaceous Disease (in men) | β: 1.15 [1.0, 1.31] | — | — | 10 Global PCs | — |
| PPM016123 | PGS003329 (PRS19_gout) |
PSS010039| European Ancestry| 5,522 individuals |
PGP000394 | Sumpter NA et al. Arthritis Rheumatol (2022) |
Reported Trait: Age at onset of gout (in women) | β: 0.07 [-2.32, 2.45] | — | — | 10 Global PCs | — |
| PPM016126 | PGS003329 (PRS19_gout) |
PSS010039| European Ancestry| 5,522 individuals |
PGP000394 | Sumpter NA et al. Arthritis Rheumatol (2022) |
Reported Trait: Tophaceous Disease (in women) | β: 0.68 [0.42, 1.1] | — | — | 10 Global PCs | — |
| PPM016119 | PGS003329 (PRS19_gout) |
PSS010040| Additional Diverse Ancestries| 869 individuals |
PGP000394 | Sumpter NA et al. Arthritis Rheumatol (2022) |
Reported Trait: Age at onset of gout (in men) | β: -3.51 [-5.46, -1.57] | — | — | 10 Global PCs + 10 Oceanian PCs | — |
| PPM016121 | PGS003329 (PRS19_gout) |
PSS010038| Additional Diverse Ancestries| 1,386 individuals |
PGP000394 | Sumpter NA et al. Arthritis Rheumatol (2022) |
Reported Trait: Tophaceous Disease (in men) | β: 2.6 [1.66, 4.06] | — | — | 10 Global PCs + 10 Oceanian PCs | — |
| PPM016122 | PGS003329 (PRS19_gout) |
PSS010040| Additional Diverse Ancestries| 869 individuals |
PGP000394 | Sumpter NA et al. Arthritis Rheumatol (2022) |
Reported Trait: Tophaceous Disease (in men) | β: 1.53 [1.07, 2.19] | — | — | 10 Global PCs + 10 Oceanian PCs | — |
| PPM016124 | PGS003329 (PRS19_gout) |
PSS010038| Additional Diverse Ancestries| 1,386 individuals |
PGP000394 | Sumpter NA et al. Arthritis Rheumatol (2022) |
Reported Trait: Age at onset of gout (in women) | β: 0.2 [-7.21, 7.62] | — | — | 10 Global PCs + 10 Oceanian PCs | — |
| PPM016125 | PGS003329 (PRS19_gout) |
PSS010040| Additional Diverse Ancestries| 869 individuals |
PGP000394 | Sumpter NA et al. Arthritis Rheumatol (2022) |
Reported Trait: Age at onset of gout (in women) | β: -3.33 [-9.28, 2.62] | — | — | 10 Global PCs + 10 Oceanian PCs | — |
| PPM016127 | PGS003329 (PRS19_gout) |
PSS010038| Additional Diverse Ancestries| 1,386 individuals |
PGP000394 | Sumpter NA et al. Arthritis Rheumatol (2022) |
Reported Trait: Tophaceous Disease (in women) | β: 1.45 [0.39, 5.36] | — | — | 10 Global PCs + 10 Oceanian PCs | — |
| PPM016118 | PGS003329 (PRS19_gout) |
PSS010038| Additional Diverse Ancestries| 1,386 individuals |
PGP000394 | Sumpter NA et al. Arthritis Rheumatol (2022) |
Reported Trait: Age at onset of gout (in men) | β: -6.35 [-8.91, -3.8] | — | — | 10 Global PCs + 10 Oceanian PCs | — |
| PPM017073 | PGS003420 (PRS100_PRScs) |
PSS010115| East Asian Ancestry| 1,298 individuals |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.7886 | — | — | — |
| PPM017074 | PGS003421 (PRS16_C+T) |
PSS010115| East Asian Ancestry| 1,298 individuals |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.7876 | — | — | — |
| PPM017075 | PGS003422 (PRS16_PRSice2) |
PSS010115| East Asian Ancestry| 1,298 individuals |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.7876 | — | — | — |
| PPM017076 | PGS003423 (PRS100_Lassosum) |
PSS010115| East Asian Ancestry| 1,298 individuals |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.7754 | — | — | — |
| PPM017077 | PGS003424 (PRS100_LDpred2) |
PSS010115| East Asian Ancestry| 1,298 individuals |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.7605 | — | — | — |
| PPM018525 | PGS003755 (wGRS_SLE) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Class III/IV lupus nephritis in anti-sm positive systemic lupus erythematosus | — | AUROC: 0.582 [0.496, 0.668] | — | — | — |
| PPM018519 | PGS003755 (wGRS_SLE) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Childhood-onset systemic lupus erythematosus (onset at age <16 years) | — | — | p: 6.80e-08 | — | — |
| PPM018520 | PGS003755 (wGRS_SLE) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Number of American College of Rheumatology (ACR) criteria for systemic lupus erythematosus | β: 0.143 [0.078, 0.208] | — | — | Onset age, sex, disease duration, and top 4 principal components | — |
| PPM018523 | PGS003755 (wGRS_SLE) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Renal disorder | β: 1.22 [1.12, 1.33] | — | — | Onset age, sex, disease duration, and top 4 principal components | — |
| PPM018524 | PGS003755 (wGRS_SLE) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Production of anti-Sm antibody | β: 1.23 [1.11, 1.36] | — | — | Onset age, sex, disease duration, and top 4 principal components | — |
| PPM018526 | PGS003755 (wGRS_SLE) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Class V lupus nephritis in anti-sm positive systemic lupus erythematosus | — | AUROC: 0.681 [0.602, 0.76] | — | — | — |
| PPM018521 | PGS003756 (wGRS_SLE_non-HLA) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Number of American College of Rheumatology (ACR) criteria for systemic lupus erythematosus | β: 0.133 [0.071, 0.194] | — | — | Onset age, sex, disease duration, and top 4 principal components | — |
| PPM018522 | PGS003757 (wGRS_SLE_HLA) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Number of American College of Rheumatology (ACR) criteria for systemic lupus erythematosus | β: 0.213 [0.079, 0.347] | — | — | Onset age, sex, disease duration, and top 4 principal components | — |
| PPM019115 | PGS003960 (GRS57_SLE) |
PSS011186| Multi-ancestry (including European)| 3,048 individuals |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.65 [0.63, 0.67] | — | — | — |
| PPM019116 | PGS003960 (GRS57_SLE) |
PSS011188| European Ancestry| 1,994 individuals |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.63 [0.6, 0.66] | — | — | — |
| PPM019117 | PGS003960 (GRS57_SLE) |
PSS011187| African Ancestry| 902 individuals |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.5 [0.44, 0.56] | — | — | — |
| PPM019118 | PGS003960 (GRS57_SLE) |
PSS011186| Multi-ancestry (including European)| 3,048 individuals |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.89 [0.87, 0.9] | — | phenotype risk score | — |
| PPM019119 | PGS003960 (GRS57_SLE) |
PSS011188| European Ancestry| 1,994 individuals |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.87 [0.85, 0.89] | — | phenotype risk score | — |
| PPM019120 | PGS003960 (GRS57_SLE) |
PSS011187| African Ancestry| 902 individuals |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.89 [0.86, 0.93] | — | phenotype risk score | — |
| PPM019838 | PGS003990 (dbslmm.auto.GCST008972.Gout) |
PSS011217| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.50745 β: 0.41042 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019839 | PGS003990 (dbslmm.auto.GCST008972.Gout) |
PSS011229| European Ancestry| 257,781 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.59028 β: 0.46391 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019841 | PGS003990 (dbslmm.auto.GCST008972.Gout) |
PSS011240| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.63718 β: 0.49298 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019842 | PGS003990 (dbslmm.auto.GCST008972.Gout) |
PSS011256| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.67929 β: 0.51837 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019844 | PGS003990 (dbslmm.auto.GCST008972.Gout) |
PSS011284| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.46542 β: 0.38214 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019846 | PGS003990 (dbslmm.auto.GCST008972.Gout) |
PSS011270| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.88159 β: 0.63211 |
AUROC: 0.67 | — | 0 | beta = log(or)/sd_pgs |
| PPM020015 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.33393 β: 0.28813 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM020017 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.37351 β: 0.31737 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM020018 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.1176 β: 0.11118 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM020019 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.82399 β: 0.60103 |
AUROC: 0.66 | — | 0 | beta = log(or)/sd_pgs |
| PPM020016 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.50841 β: 0.41106 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019901 | PGS004006 (lassosum.auto.GCST008972.Gout) |
PSS011217| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.49846 β: 0.40444 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019902 | PGS004006 (lassosum.auto.GCST008972.Gout) |
PSS011229| European Ancestry| 257,781 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.5767 β: 0.45534 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019904 | PGS004006 (lassosum.auto.GCST008972.Gout) |
PSS011240| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.75393 β: 0.56186 |
AUROC: 0.66 | — | 0 | beta = log(or)/sd_pgs |
| PPM019905 | PGS004006 (lassosum.auto.GCST008972.Gout) |
PSS011256| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.67964 β: 0.51858 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019907 | PGS004006 (lassosum.auto.GCST008972.Gout) |
PSS011284| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.48465 β: 0.39518 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019909 | PGS004006 (lassosum.auto.GCST008972.Gout) |
PSS011270| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.89517 β: 0.63931 |
AUROC: 0.67 | — | 0 | beta = log(or)/sd_pgs |
| PPM020050 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.32987 β: 0.28508 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM020051 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.49732 β: 0.40368 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM020052 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.28607 β: 0.25159 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM020053 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.18691 β: 0.17135 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM020054 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.59047 β: 0.46403 |
AUROC: 0.67 | — | 0 | beta = log(or)/sd_pgs |
| PPM019912 | PGS004018 (lassosum.CV.GCST008972.Gout) |
PSS011240| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.79341 β: 0.58412 |
AUROC: 0.66 | — | 0 | beta = log(or)/sd_pgs |
| PPM019910 | PGS004018 (lassosum.CV.GCST008972.Gout) |
PSS011217| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.53836 β: 0.43072 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019911 | PGS004018 (lassosum.CV.GCST008972.Gout) |
PSS011229| European Ancestry| 257,781 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.63119 β: 0.48931 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019913 | PGS004018 (lassosum.CV.GCST008972.Gout) |
PSS011256| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.68276 β: 0.52044 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019914 | PGS004018 (lassosum.CV.GCST008972.Gout) |
PSS011284| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.54257 β: 0.43345 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019915 | PGS004018 (lassosum.CV.GCST008972.Gout) |
PSS011270| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.92725 β: 0.6561 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM020055 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.46364 β: 0.38093 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM020056 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.61006 β: 0.47627 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM020057 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.91213 β: 0.64822 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM020058 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.4387 β: 0.36374 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM020059 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 2.11267 β: 0.74795 |
AUROC: 0.71 | — | 0 | beta = log(or)/sd_pgs |
| PPM019865 | PGS004032 (ldpred2.auto.GCST008972.Gout) |
PSS011217| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.47805 β: 0.39072 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019866 | PGS004032 (ldpred2.auto.GCST008972.Gout) |
PSS011229| European Ancestry| 257,781 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.53483 β: 0.42842 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019868 | PGS004032 (ldpred2.auto.GCST008972.Gout) |
PSS011240| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.58389 β: 0.45989 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019869 | PGS004032 (ldpred2.auto.GCST008972.Gout) |
PSS011256| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.63475 β: 0.49149 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019871 | PGS004032 (ldpred2.auto.GCST008972.Gout) |
PSS011284| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.38725 β: 0.32733 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019873 | PGS004032 (ldpred2.auto.GCST008972.Gout) |
PSS011270| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.91462 β: 0.64952 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM019811 | PGS004047 (ldpred2.CV.GCST008972.Gout) |
PSS011217| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.57029 β: 0.45126 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019812 | PGS004047 (ldpred2.CV.GCST008972.Gout) |
PSS011229| European Ancestry| 257,781 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.65592 β: 0.50435 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019814 | PGS004047 (ldpred2.CV.GCST008972.Gout) |
PSS011240| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.81978 β: 0.59872 |
AUROC: 0.66 | — | 0 | beta = log(or)/sd_pgs |
| PPM019815 | PGS004047 (ldpred2.CV.GCST008972.Gout) |
PSS011256| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.73092 β: 0.54865 |
AUROC: 0.65 | — | 0 | beta = log(or)/sd_pgs |
| PPM019817 | PGS004047 (ldpred2.CV.GCST008972.Gout) |
PSS011284| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.57863 β: 0.45655 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019819 | PGS004047 (ldpred2.CV.GCST008972.Gout) |
PSS011270| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.99932 β: 0.69281 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM020001 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.63972 β: 0.49453 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM020002 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.9896 β: 0.68793 |
AUROC: 0.71 | — | 0 | beta = log(or)/sd_pgs |
| PPM020003 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.54092 β: 0.43238 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM020004 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 2.36914 β: 0.86253 |
AUROC: 0.73 | — | 0 | beta = log(or)/sd_pgs |
| PPM020000 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.55377 β: 0.44069 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019880 | PGS004060 (megaprs.auto.GCST008972.Gout) |
PSS011217| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.53017 β: 0.42538 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019881 | PGS004060 (megaprs.auto.GCST008972.Gout) |
PSS011229| European Ancestry| 257,781 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.6092 β: 0.47574 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019883 | PGS004060 (megaprs.auto.GCST008972.Gout) |
PSS011240| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.8073 β: 0.59183 |
AUROC: 0.66 | — | 0 | beta = log(or)/sd_pgs |
| PPM019884 | PGS004060 (megaprs.auto.GCST008972.Gout) |
PSS011256| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.64854 β: 0.49989 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019886 | PGS004060 (megaprs.auto.GCST008972.Gout) |
PSS011284| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.59359 β: 0.46599 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019888 | PGS004060 (megaprs.auto.GCST008972.Gout) |
PSS011270| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.94028 β: 0.66283 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM020035 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.52285 β: 0.42059 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM020036 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.6765 β: 0.51671 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM020037 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 2.16519 β: 0.77251 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM020038 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.52777 β: 0.42381 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM020039 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 2.12896 β: 0.75563 |
AUROC: 0.71 | — | 0 | beta = log(or)/sd_pgs |
| PPM019874 | PGS004076 (megaprs.CV.GCST008972.Gout) |
PSS011217| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.55746 β: 0.44305 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019875 | PGS004076 (megaprs.CV.GCST008972.Gout) |
PSS011229| European Ancestry| 257,781 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.63709 β: 0.49292 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019876 | PGS004076 (megaprs.CV.GCST008972.Gout) |
PSS011240| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.76885 β: 0.57033 |
AUROC: 0.66 | — | 0 | beta = log(or)/sd_pgs |
| PPM019877 | PGS004076 (megaprs.CV.GCST008972.Gout) |
PSS011256| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.67754 β: 0.51733 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019878 | PGS004076 (megaprs.CV.GCST008972.Gout) |
PSS011284| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.63078 β: 0.48906 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019879 | PGS004076 (megaprs.CV.GCST008972.Gout) |
PSS011270| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.97547 β: 0.68081 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM020030 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.50199 β: 0.40679 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM020031 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.61696 β: 0.48055 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM020032 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 2.0218 β: 0.70399 |
AUROC: 0.71 | — | 0 | beta = log(or)/sd_pgs |
| PPM020033 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.60515 β: 0.47322 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM020034 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 2.22137 β: 0.79813 |
AUROC: 0.72 | — | 0 | beta = log(or)/sd_pgs |
| PPM019892 | PGS004090 (prscs.auto.GCST008972.Gout) |
PSS011217| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.50656 β: 0.40983 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019893 | PGS004090 (prscs.auto.GCST008972.Gout) |
PSS011229| European Ancestry| 257,781 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.57446 β: 0.45391 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019895 | PGS004090 (prscs.auto.GCST008972.Gout) |
PSS011240| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.6051 β: 0.47319 |
AUROC: 0.65 | — | 0 | beta = log(or)/sd_pgs |
| PPM019896 | PGS004090 (prscs.auto.GCST008972.Gout) |
PSS011256| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.68882 β: 0.52403 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019898 | PGS004090 (prscs.auto.GCST008972.Gout) |
PSS011284| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.42666 β: 0.35534 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019900 | PGS004090 (prscs.auto.GCST008972.Gout) |
PSS011270| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.93464 β: 0.65992 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM020045 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.43309 β: 0.35983 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM020046 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.64768 β: 0.49937 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM020047 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.45841 β: 0.37734 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM020048 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.30074 β: 0.26293 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM020049 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.88898 β: 0.63604 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM020040 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.39977 β: 0.33631 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM020041 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.43354 β: 0.36015 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM020042 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.62378 β: 0.48476 |
AUROC: 0.65 | — | 0 | beta = log(or)/sd_pgs |
| PPM020043 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.24983 β: 0.22301 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM020044 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.9189 β: 0.65175 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM019820 | PGS004114 (pt_clump.auto.GCST008972.Gout) |
PSS011217| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.35293 β: 0.30227 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019821 | PGS004114 (pt_clump.auto.GCST008972.Gout) |
PSS011229| European Ancestry| 257,781 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.4164 β: 0.34812 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019823 | PGS004114 (pt_clump.auto.GCST008972.Gout) |
PSS011240| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.6966 β: 0.52862 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019824 | PGS004114 (pt_clump.auto.GCST008972.Gout) |
PSS011256| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.52441 β: 0.42161 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019826 | PGS004114 (pt_clump.auto.GCST008972.Gout) |
PSS011284| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.39654 β: 0.334 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019828 | PGS004114 (pt_clump.auto.GCST008972.Gout) |
PSS011270| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.60047 β: 0.4703 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM020005 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.33056 β: 0.2856 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM020006 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.40296 β: 0.33858 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM020007 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.70576 β: 0.53401 |
AUROC: 0.65 | — | 0 | beta = log(or)/sd_pgs |
| PPM020008 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.30274 β: 0.26447 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM020009 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.56663 β: 0.44893 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019829 | PGS004130 (pt_clump_nested.CV.GCST008972.Gout) |
PSS011217| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.41975 β: 0.35048 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019830 | PGS004130 (pt_clump_nested.CV.GCST008972.Gout) |
PSS011229| European Ancestry| 257,781 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.49959 β: 0.40519 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019832 | PGS004130 (pt_clump_nested.CV.GCST008972.Gout) |
PSS011240| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.59226 β: 0.46516 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019833 | PGS004130 (pt_clump_nested.CV.GCST008972.Gout) |
PSS011256| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.54512 β: 0.4351 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019835 | PGS004130 (pt_clump_nested.CV.GCST008972.Gout) |
PSS011284| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.47895 β: 0.39133 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019837 | PGS004130 (pt_clump_nested.CV.GCST008972.Gout) |
PSS011270| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.69355 β: 0.52682 |
AUROC: 0.65 | — | 0 | beta = log(or)/sd_pgs |
| PPM020010 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.34749 β: 0.29824 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM020011 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.43562 β: 0.3616 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM020012 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.54617 β: 0.43578 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM020013 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.33067 β: 0.28568 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM020014 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.49068 β: 0.39923 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019847 | PGS004144 (sbayesr.auto.GCST008972.Gout) |
PSS011217| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.37049 β: 0.31517 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019848 | PGS004144 (sbayesr.auto.GCST008972.Gout) |
PSS011229| European Ancestry| 257,781 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.39569 β: 0.33339 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019850 | PGS004144 (sbayesr.auto.GCST008972.Gout) |
PSS011240| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.35132 β: 0.30108 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019851 | PGS004144 (sbayesr.auto.GCST008972.Gout) |
PSS011256| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.4915 β: 0.39978 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019853 | PGS004144 (sbayesr.auto.GCST008972.Gout) |
PSS011284| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.23735 β: 0.21298 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019855 | PGS004144 (sbayesr.auto.GCST008972.Gout) |
PSS011270| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.71118 β: 0.53718 |
AUROC: 0.65 | — | 0 | beta = log(or)/sd_pgs |
| PPM020020 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.39911 β: 0.33583 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM020021 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.62873 β: 0.4878 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM020022 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.86907 β: 0.62544 |
AUROC: 0.67 | — | 0 | beta = log(or)/sd_pgs |
| PPM020023 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.46527 β: 0.38204 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM020024 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.74045 β: 0.55414 |
AUROC: 0.66 | — | 0 | beta = log(or)/sd_pgs |
| PPM019859 | PGS004160 (UKBB_EnsPGS.GCST008972.Gout) |
PSS011217| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.58633 β: 0.46142 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019860 | PGS004160 (UKBB_EnsPGS.GCST008972.Gout) |
PSS011229| European Ancestry| 257,781 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.67706 β: 0.51704 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019861 | PGS004160 (UKBB_EnsPGS.GCST008972.Gout) |
PSS011240| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.88658 β: 0.63476 |
AUROC: 0.67 | — | 0 | beta = log(or)/sd_pgs |
| PPM019862 | PGS004160 (UKBB_EnsPGS.GCST008972.Gout) |
PSS011256| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.73594 β: 0.55155 |
AUROC: 0.65 | — | 0 | beta = log(or)/sd_pgs |
| PPM019863 | PGS004160 (UKBB_EnsPGS.GCST008972.Gout) |
PSS011284| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 1.63885 β: 0.49399 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019864 | PGS004160 (UKBB_EnsPGS.GCST008972.Gout) |
PSS011270| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Gout | OR: 2.04859 β: 0.71715 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM020025 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.64114 β: 0.49539 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM020026 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.75402 β: 0.56191 |
AUROC: 0.65 | — | 0 | beta = log(or)/sd_pgs |
| PPM020027 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 2.39078 β: 0.87162 |
AUROC: 0.74 | — | 0 | beta = log(or)/sd_pgs |
| PPM020028 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 1.6676 β: 0.51138 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM020029 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Seropositive RA | OR: 2.46183 β: 0.90091 |
AUROC: 0.75 | — | 0 | beta = log(or)/sd_pgs |
| PPM020157 | PGS004222 (GRS13_gout) |
PSS011298| Multi-ancestry (including European)| 403,630 individuals |
PGP000522 | Wu Q et al. J Psychosom Res (2023) |
Reported Trait: Incident gout | — | — | p (interaction between PRS and sleep pattern): 0.043 | Age, sex, race, Townsend deprivation index (TDI), body mass index (BMI), smoking and drinking status, history of hypertension and diabetes, uric acid, total cholesterol, estimated glomerular filtration rate (eGFR) levels, the use of diuretics medications | — |
| PPM020440 | PGS004326 (PRS154_RA) |
PSS011363| European Ancestry| 342,973 individuals |
PGP000560 | Zhang J et al. Environ Health Perspect (2023) |
Reported Trait: Incident rheumatoid arthritis | HR: 1.22 [1.17, 1.27] | — | — | age, sex, UK Biobank assessment center, household income, education level, smoking status, body mass index, alcohol consumption, sedentary time, physical activity duration, healthy diet score, first 10 genetic principal components, and genotyping batch. | — |
| PPM020441 | PGS004326 (PRS154_RA) |
PSS011363| European Ancestry| 342,973 individuals |
PGP000560 | Zhang J et al. Environ Health Perspect (2023) |
Reported Trait: Incident rheumatoid arthritis with air pollution | — | — | Hazard ratio (HR, high air pollution and PRS in top tertile vs low air pollution and PRS in bottom tertile): 1.73 [1.39, 2.17] | age, sex, UK Biobank assessment center, household income, education level, smoking status, body mass index, alcohol consumption, sedentary time, physical activity duration, healthy diet score, first 10 genetic principal components, and genotyping batch. | — |
| PPM020592 | PGS004477 (disease.M13.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: M13 (Other arthritis) | OR: 1.1956 | — | — | — | — |
| PPM020593 | PGS004478 (disease.M16.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: M16 (Coxarthrosis [arthrosis of hip]) | OR: 1.29595 | — | — | — | — |
| PPM020594 | PGS004479 (disease.M17.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: M17 (Gonarthrosis [arthrosis of knee]) | OR: 1.32326 | — | — | — | — |
| PPM020662 | PGS004547 (meta.M13.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: M13 (Other arthritis) | OR: 1.2622 | — | — | — | — |
| PPM020663 | PGS004548 (meta.M16.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: M16 (Coxarthrosis [arthrosis of hip]) | OR: 1.21626 | — | — | — | — |
| PPM020664 | PGS004549 (meta.M17.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: M17 (Gonarthrosis [arthrosis of knee]) | OR: 1.36669 | — | — | — | — |
| PPM020992 | PGS004767 (gout_PRSmix_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Gout | — | — | Incremental R2 (Full model versus model with only covariates): 0.061 [0.052, 0.071] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020993 | PGS004768 (gout_PRSmixPlus_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Gout | — | — | Incremental R2 (Full model versus model with only covariates): 0.081 [0.071, 0.092] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021042 | PGS004817 (RA_PRSmix_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Rheumatoid Arthritis | — | — | Incremental R2 (Full model versus model with only covariates): 0.008 [0.004, 0.012] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021043 | PGS004818 (RA_PRSmix_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Rheumatoid Arthritis | — | — | Incremental R2 (Full model versus model with only covariates): 0.008 [0.005, 0.012] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021044 | PGS004819 (RA_PRSmixPlus_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Rheumatoid Arthritis | — | — | Incremental R2 (Full model versus model with only covariates): 0.011 [0.007, 0.015] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021045 | PGS004820 (RA_PRSmixPlus_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Rheumatoid Arthritis | — | — | Incremental R2 (Full model versus model with only covariates): 0.009 [0.005, 0.013] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS009928 | — | — | [
|
— | African unspecified, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian) | — | NR | Average Cohort Size. Overlaps GWAS Cohorts; however performance metrics are derived using a leave-one-cohort-out cross-validation to minimize overlap |
| PSS008461 | — | — | 1,200 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS011240 | — | — | [
|
— | South Asian | — | G&H | — |
| PSS004183 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004185 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004186 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004187 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004188 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS008162 | — | — | 6,171 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS004190 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004191 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004192 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004193 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004706 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004707 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004708 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004709 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004710 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004194 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004195 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004196 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004197 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004203 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004204 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004205 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004206 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004207 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004208 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004209 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004210 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004211 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004212 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004213 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004214 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004215 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004216 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004217 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007699 | — | — | [
|
— | African unspecified | Africa or admixed-ancestry diaspora | UKB | — |
| PSS009591 | — | — | 26,637 individuals, 0.0 % Male samples |
Mean = 67.04 years Sd = 19.14 years |
European (White) |
— | eMERGE | — |
| PSS011246 | — | — | [
|
— | South Asian | — | G&H | — |
| PSS007703 | — | — | [
|
— | Asian unspecified | Central and South Asian | UKB | — |
| PSS004223 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004224 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004225 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004226 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004227 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004228 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004229 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004230 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004231 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004232 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007712 | — | — | [
|
— | European | — | UKB | — |
| PSS008674 | — | — | 6,535 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS000993 | All individuals had systemic lupus erythematosus. Cases are individuals that also have renal disease | — | [
|
— | European | — | NR | — |
| PSS000994 | All individuals had systemic lupus erythematosus. Cases are individuals that also have renal disease | — | [
|
— | European | — | NR | Cases and controls obtained by SLEGEN. |
| PSS011217 | — | — | [
|
— | European | — | EB | — |
| PSS004238 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004239 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004240 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004241 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004242 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004751 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004752 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004753 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS000429 | JIA diagnosis was made according to International League of Associations for Rheumatology standards (PMID:14760812) from EHR. Control subjects were unrelated and disease-free children. | — | [ ,
51.46 % Male samples |
— | European | — | CHOP | — |
| PSS000430 | JIA diagnosis was made according to International League of Associations for Rheumatology standards (PMID:14760812) from EHR. Control subjects were unrelated and disease-free children. | — | [ ,
49.19 % Male samples |
— | European | — | CHOP | — |
| PSS000431 | JIA diagnosis was made according to International League of Associations for Rheumatology standards (PMID:14760812) from EHR. Control subjects were unrelated and disease-free children. | — | [ ,
50.11 % Male samples |
— | European | — | CHOP | — |
| PSS000432 | Diagnosis of JIA by a paediatric rheumatologist. | — | [ ,
58.59 % Male samples |
— | European | — | CLARITY | Cohort description (PMID): 23153063 |
| PSS000433 | Diagnosis of JIA by a paediatric rheumatologist. | — | [ ,
51.15 % Male samples |
— | European | — | CLARITY | Cohort description (PMID): 23153063 |
| PSS000434 | Diagnosis of JIA by a paediatric rheumatologist. | — | [ ,
54.82 % Male samples |
— | European | — | CLARITY | Cohort description (PMID): 23153063 |
| PSS004755 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008228 | — | — | 6,185 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008230 | — | — | 6,194 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS010039 | — | — | [
|
— | European | — | CLEAR | Australia and Aotearoa New Zealand cohort, GlobalGout, LASSO, CRYSTAL, LIGHT |
| PSS000436 | The discovery cohort included 1001 patients from the University clinics in Uppsala, Linköping, Karolinska Institute (Stockholm), Lund, and from the four northern-most counties in Sweden. All subjects fulfilled ≥4 ACR-82 classification criteria for SLE and were of European descent.30 Clinical data were collected from the patients’ medical files, including SDI scores, the ACR-82 classification criteria, clinical antiphospholipid syndrome (APS) diagnosis, glomerular filtration rate, chronic kidney disease (CKD) stages, ESRD, renal biopsy data and CVE, defined as myocardial infarction, ischaemic cerebrovascular disease or venous thromboembolism (VTE). Control individuals were healthy blood donors from Uppsala (Uppsala Bioresource) and Lund or population based controls from Stockholm and the four northernmost counties of Sweden. | — | [
|
— | European | — | Karolinska, UHU | The discovery cohort included 1001 patients from the University clinics in Uppsala, Linköping, Karolinska Institute (Stockholm), Lund, and from the four northern-most counties in Sweden |
| PSS000437 | The discovery cohort included 1001 patients from the University clinics in Uppsala, Linköping, Karolinska Institute (Stockholm), Lund, and from the four northern-most counties in Sweden. All subjects fulfilled ≥4 ACR-82 classification criteria for SLE and were of European descent.30 Clinical data were collected from the patients’ medical files, including SDI scores, the ACR-82 classification criteria, clinical antiphospholipid syndrome (APS) diagnosis, glomerular filtration rate, chronic kidney disease (CKD) stages, ESRD, renal biopsy data and CVE, defined as myocardial infarction, ischaemic cerebrovascular disease or venous thromboembolism (VTE). | — | [
|
— | European | — | Karolinska, UHU | The discovery cohort included 1001 patients from the University clinics in Uppsala, Linköping, Karolinska Institute (Stockholm), Lund, and from the four northern-most counties in Sweden |
| PSS000438 | — | — | [
|
— | European | — | NR | The replication cohort is described in Langefeld et al. (PMID:28714469) |
| PSS008680 | — | — | 6,241 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008234 | — | — | 5,728 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS004323 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS008235 | — | — | 5,671 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008681 | — | — | 6,216 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008237 | — | — | 6,331 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008241 | — | — | 6,331 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS004324 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS009586 | Severe progressive group as patients with the top quartile of SHS (more than 35 points) and the non-severe progressive group as the remaining patients. | — | 740 individuals, 14.4 % Male samples |
Mean = 48.5 years Sd = 12.4 years |
East Asian (Japanese) |
— | IORRA | — |
| PSS000179 | JIA diagnosis was made according to International League of Associations for Rheumatology standards (PMID:14760812) from EHR. Control subjects were unrelated and disease-free children. | — | [ ,
47.5 % Male samples |
— | European | — | CHOP | — |
| PSS000180 | Diagnosis of JIA by a paediatric rheumatologist. | — | [ ,
48.9 % Male samples |
— | European | — | CLARITY | Cohort description (PMID): 23153063 |
| PSS004268 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004325 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004269 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004270 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004271 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004272 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008174 | — | — | 6,325 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008683 | — | — | 6,660 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS007742 | — | — | 2,480 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS011262 | — | — | [
|
— | European | — | HUNT | — |
| PSS009280 | — | — | 19,539 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011270 | — | — | [
|
— | European | — | UKB | — |
| PSS011275 | — | — | [
|
— | European | — | UKB | — |
| PSS000815 | — | — | 87,413 individuals | — | European | — | UKB | — |
| PSS000816 | ICD-10 M10 | — | [
|
— | European (Finnish) |
— | FinnGen | — |
| PSS009292 | — | — | 19,983 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS008687 | — | — | 6,660 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS011284 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS011187 | — | — | [
|
— | African unspecified | — | BioVU | — |
| PSS011188 | — | — | [
|
— | European | — | BioVU | — |
| PSS011465 | — | — | 9,462 individuals | — | European | — | AllofUs | — |
| PSS011256 | — | — | [
|
— | European | — | HUNT | — |
| PSS011474 | — | — | 8,837 individuals | — | South Asian | — | G&H | — |
| PSS004322 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS000310 | Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 8.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000311 | Setting III: Based on ICD codes and final diagnosis in medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 7.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000312 | Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 8.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000313 | Setting III: Based on ICD codes and final diagnosis in medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 7.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000314 | Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 8.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000315 | Setting III: Based on ICD codes and final diagnosis in medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 7.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000316 | Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 8.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000317 | Setting III: Based on ICD codes and final diagnosis in medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 7.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000318 | Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 8.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000319 | Setting III: Based on ICD codes and final diagnosis in medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 7.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000320 | Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases | Median = 16.0 years | [ ,
43.0 % Male samples |
— | European, African unspecified, Asian unspecified, NR | Primarily European, African and Asian ancestry | eMERGE | — |
| PSS000321 | Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases | Median = 16.0 years | [ ,
43.0 % Male samples |
— | European, African unspecified, Asian unspecified, NR | Primarily European, African and Asian ancestry | eMERGE | — |
| PSS000322 | Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases | Median = 16.0 years | [ ,
43.0 % Male samples |
— | European, African unspecified, Asian unspecified, NR | Primarily European, African and Asian ancestry | eMERGE | — |
| PSS000323 | Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases | Median = 16.0 years | [ ,
43.0 % Male samples |
— | European, African unspecified, Asian unspecified, NR | Primarily European, African and Asian ancestry | eMERGE | — |
| PSS000324 | Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases | Median = 16.0 years | [ ,
43.0 % Male samples |
— | European, African unspecified, Asian unspecified, NR | Primarily European, African and Asian ancestry | eMERGE | — |
| PSS007793 | — | — | 2,428 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007795 | — | — | 2,441 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007799 | — | — | 2,277 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007801 | — | — | 2,484 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007805 | — | — | 2,484 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009936 | — | — | 1,422 individuals | — | European | — | ASPREE | — |
| PSS009935 | — | — | 1,257 individuals | — | European | — | ASPREE | — |
| PSS009346 | — | — | 19,585 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009348 | — | — | 19,670 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009352 | — | — | 18,393 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009353 | — | — | 18,262 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009355 | — | — | 20,000 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS008845 | — | — | 3,918 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS009359 | — | — | 20,000 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS000489 | The diagnosttic criteria for each disease was based on gold-standard clinical guidelines. | — | 339 individuals | — | European (Spanish) |
— | PRECISESADS | — |
| PSS000490 | Cases included physician-confirmed psoriatic arthritis (PsA). Controls inclded individuals with psoriasis with no history of joint symptoms (psoriasis only - PsO). | — | [
|
— | NR | — | NR | — |
| PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |
| PSS004754 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS009665 | Gout was ascertained based on information from self- report (Data-Field 20002, code: 1466), medical records (ICD-10 codes: M10.0, M10.2, M10.3, M10.4, M10.9), and death records (ICD-10 codes: M10.0, M10.2, M10.3, M10.4, M10.9) | Median = 12.1 years | [ ,
45.9 % Male samples |
Mean = 56.6 years Sd = 8.0 years |
European | — | UKB | — |
| PSS011325 | — | — | 181,559 individuals | — | European | — | UKB | — |
| PSS008384 | — | — | 1,178 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008897 | — | — | 3,872 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008899 | — | — | 3,882 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008903 | — | — | 3,634 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS001027 | Cases were individuals with systemic lupus erythematosus (SLE). All cases were carefully recruited regarding the criteria from the American College of Rheumatology (ACR). Controls included healthy individuals and individuals who had unrelated diseases including: breast cancer, periodontitis, tuberculosis, drug-induced liver injury, epileptic encephalopathy, dengue hemorrhagic fever, thalassemia, and cardiomyopathy. | — | [ ,
40.31 % Male samples |
— | South East Asian (Thai) |
— | NR | Cases were recruited from King Chulalongkorn Memorial Hospital and the Rheumatology clinic at Ramathbodi hospital. Control data was provided by the Department of Medical Science, Min- istry of Public Health, Thailand. |
| PSS008905 | — | — | 3,924 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008396 | — | — | 1,200 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008909 | — | — | 3,924 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS004432 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004433 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004434 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004435 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004436 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS010115 | — | — | [
|
— | East Asian (Taiwanese) |
— | NR | TPMI |
| PSS004452 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004453 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004454 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004455 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004456 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS001034 | Cases were individuals with cutaneous lupus erythematosus. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | BioVU | — |
| PSS001035 | Cases were individuals with systemic lupus erythematosus. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | BioVU | — |
| PSS001036 | Cases were individuals with type 1 diabetes. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for type 1 diabetes include: 250.1. Of all the type 1 diabetes cases, 276 had renal manifestations, 240 had ophthalmic manifestations and 475 had neurological manifestations | — | [
|
— | European | — | BioVU | — |
| PSS001037 | Cases were individuals with erythematosus conditions. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | BioVU | — |
| PSS001038 | Cases were individuals with lupus (localised and systemic). Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | BioVU | — |
| PSS001039 | Cases were individuals with cutaneous lupus erythematosus. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | eMERGE | — |
| PSS001040 | Cases were individuals with systemic lupus erythematosus. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | eMERGE | — |
| PSS001041 | Cases were individuals with type 1 diabetes. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for type 1 diabetes include: 250.1. Of the type 1 diabetes cases 165 had renal manifestations, 230 had ophthalmic manifestations and 218 had neurological manifestations. | — | [
|
— | European | — | eMERGE | — |
| PSS001042 | Cases were individuals with erythematosus conditions. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | eMERGE | — |
| PSS001043 | Cases were individuals with lupus (localised and systemic). Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits.For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record.Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | eMERGE | — |
| PSS004461 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004462 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004463 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004464 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004465 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008448 | — | — | 1,184 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008450 | — | — | 1,186 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS009930 | — | — | [
|
— | European | — | NR | Average Cohort Size. Overlaps GWAS Cohorts; however performance metrics are derived using a leave-one-cohort-out cross-validation to minimize overlap |
| PSS009929 | — | — | [
|
— | East Asian | — | BBJ | Average Cohort Size. Overlaps GWAS Cohorts; however performance metrics are derived using a leave-one-cohort-out cross-validation to minimize overlap |
| PSS008454 | — | — | 1,128 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008455 | — | — | 1,124 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS011186 | — | — | [
|
— | European | — | BioVU | — |
| PSS008457 | — | — | 1,200 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS011186 | — | — | [
|
— | African unspecified | — | BioVU | — |
| PSS011186 | — | — | [
|
— | Asian unspecified | — | BioVU | — |
| PSS011186 | — | — | [
|
— | Not reported | — | BioVU | — |
| PSS007949 | — | — | 1,787 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS004486 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004487 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004488 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004489 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004490 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004491 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004492 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004493 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004494 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004495 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007961 | — | — | 1,810 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS011363 | ICD10: M05, M06 | Median = 8.1 years | [ ,
46.58 % Male samples |
Mean = 57.0 years Sd = 7.9 years |
European | — | UKB | — |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS009889 | Radiographic hip and/or knee-OA was defined in all five cohorts by a KL score ≥ 2 for one or both joints.In the CHECK cohort, clinical OA was defined as clinically relevant hip or knee osteoarthritis by a group of 36 GPs and secondary care physicians by manually evaluating the study records over the 5-10 years of follow-up | — | 1,002 individuals, 21.0 % Male samples |
Mean = 55.9 years Sd = 5.2 years |
European | — | NR | CHECK |
| PSS008009 | — | — | 1,785 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS009890 | Radiographic hip and/or knee-OA was defined in all five cohorts by a KL score ≥ 2 for one or both joints.Clinical OA in the PROOF cohort was defined based on the American College of Rheumatology (ACR) definition [26], which is defined based on knee pain on most days of the last month plus at least 3 of the following clinical findings: age > 50 years, stiffness < 30 minutes, crepitus, bony tenderness, bony enlargement, and no palpable warmth. Prevalent cases were defined at baseline. | — | 407 individuals, 0.0 % Male samples |
Mean = 55.8 years Sd = 3.2 years |
European | — | NR | PROOF |
| PSS008014 | — | — | 1,754 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS004551 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004552 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004553 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004554 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008016 | — | — | 1,810 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008019 | — | — | 1,810 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS009891 | Radiographic hip and/or knee-OA was defined in all five cohorts by a KL score ≥ 2 for one or both joints.Clinical OA in Rotterdam Study was defined as reported pain in the last month and a KL score ≥ 2 in that hip or knee joint and the control group was defined as containing all participants who had not been diagnosed with radiographic OA by the end of follow-up time. | — | 14,926 individuals | — | European | — | RS | — |
| PSS011298 | — | — | 382,477 individuals | — | European | — | UKB | — |
| PSS011298 | — | — | 21,153 individuals | — | Not reported | — | UKB | — |
| PSS009054 | — | — | 4,052 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS000960 | Cases were individuals with systemic lupus erythematosus. | — | [
|
— | European | — | NR | — |
| PSS000961 | Cases were individuals with systemic lupus erythematosus. | — | [
|
— | European | — | NR | — |
| PSS000962 | Cases were individuals with systemic lupus erythematosus. | — | [
|
— | European | — | NR | — |
| PSS000963 | Cases were individuals with systemic lupus erythematosus. | — | [
|
— | East Asian (Han Chinese) |
— | NR | — |
| PSS009066 | — | — | 4,135 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS008676 | — | — | 6,565 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS010038 | — | — | [
|
— | Oceanian | Aotearoa NZ Maori and Cook Island Maori ancestry | NR | East Polynesian |
| PSS011006 | — | — | 1,655 individuals, 8.4 % Male samples |
Mean = 38.1 years Sd = 12.5 years |
East Asian (Korean) |
— | NR | — |
| PSS010040 | — | — | [
|
— | Oceanian | Samoan, Tongan, Niuean, Tokelauan and Pukapukan | NR | West Polynesian |
| PSS011222 | — | — | [
|
— | European | — | EB | — |
| PSS004627 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004628 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004629 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004630 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004631 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008608 | — | — | 6,489 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS009120 | — | — | 4,047 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009122 | — | — | 4,059 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS011229 | M13_GOUT, ICD10: M10, ICD9: 2740 | — | [
|
— | European | — | FinnGen | — |
| PSS009126 | — | — | 3,878 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009127 | — | — | 3,854 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009129 | — | — | 4,136 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS008620 | — | — | 6,655 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS009133 | — | — | 4,136 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS011233 | RHEUMA_SEROPOS_OTH, ICD10: M05[8-9], ICD9: 7140A | — | [
|
— | European | — | FinnGen | — |
| PSS009927 | — | — | [
|
— | European, East Asian, African unspecified, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian) | — | BBJ | Average Cohort Size. Overlaps GWAS Cohorts; however performance metrics are derived using a leave-one-cohort-out cross-validation to minimize overlap |