| 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 | 114 | - |
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 | 96 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000195/ScoringFiles/PGS000195.txt.gz |
| PGS000197 (G-PROB_SpA) |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Spondyloarthroparthy | spondyloarthropathy | 31 | - |
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 | 31 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000198/ScoringFiles/PGS000198.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) | rheumatoid factor-negative juvenile idiopathic arthritis | 12 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000326/ScoringFiles/PGS000326.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 |
| PGS000739 (HCM_GRS) |
PGP000146 | Harper AR et al. Nat Genet (2021) |
Hypertrophic cardiomyopathy | hypertrophic cardiomyopathy | 27 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000739/ScoringFiles/PGS000739.txt.gz | |
| PGS000778 (PRSHCM) |
PGP000182 | Tadros R et al. Nat Genet (2021) |
Hypertrophic cardiomyopathy | hypertrophic cardiomyopathy | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000778/ScoringFiles/PGS000778.txt.gz |
| PGS000932 (GBE_HC1248) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other intervertebral disk disorders (time-to-event) | vertebral column disorder | 111 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000932/ScoringFiles/PGS000932.txt.gz |
| PGS000964 (GBE_HC176) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Slipped disc | Epiphyses, Slipped | 47 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000964/ScoringFiles/PGS000964.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 |
| PGS001032 (GBE_HC31) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Uterine fibroids | uterine corpus leiomyoma | 161 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001032/ScoringFiles/PGS001032.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) | arthritic joint disease | 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 |
| PGS001254 (GBE_HC177) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Dupuytren's contracture | Dupuytren Contracture | 11 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001254/ScoringFiles/PGS001254.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 |
| PGS001273 (GBE_HC22) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Osteoporosis | osteoporosis | 316 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001273/ScoringFiles/PGS001273.txt.gz |
| PGS001274 (GBE_HC1268) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Osteoporosis without pathological fracture (time-to-event) | osteoporosis | 1,270 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001274/ScoringFiles/PGS001274.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 |
| PGS001810 (portability-PLR_200.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Polycythemia vera | acquired polycythemia vera | 67 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001810/ScoringFiles/PGS001810.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 |
| PGS001879 (portability-PLR_727.4) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Ganglion and cyst of synovium, tendon, and bursa | ganglion or cyst of synovium/tendon/bursa | 210 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001879/ScoringFiles/PGS001879.txt.gz |
| PGS001880 (portability-PLR_728.71) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Contracture of palmar fascia [Dupuytren's disease] | Dupuytren Contracture | 2,443 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001880/ScoringFiles/PGS001880.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 |
| PGS001883 (portability-PLR_743.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Osteoporosis | osteoporosis | 365 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001883/ScoringFiles/PGS001883.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 |
| PGS002092 (portability-ldpred2_728.71) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Contracture of palmar fascia [Dupuytren's disease] | Dupuytren Contracture | 484,484 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002092/ScoringFiles/PGS002092.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 |
| PGS002095 (portability-ldpred2_743.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Osteoporosis | osteoporosis | 658,775 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002095/ScoringFiles/PGS002095.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 corpus leiomyoma | 4,457 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002263/ScoringFiles/PGS002263.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 | total knee arthroplasty, osteoarthritis, knee |
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 |
| 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 |
| PGS002768 (BMD_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Osteoporosis | heel bone mineral density, osteoporosis |
1,091,549 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002768/ScoringFiles/PGS002768.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 |
| 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 |
| PGS003868 (CM_LDpred2_ARB) |
PGP000501 | Shim I et al. Nature Communications (2023) |
Cardiomyopathy | cardiomyopathy | 1,010,014 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003868/ScoringFiles/PGS003868.txt.gz |
| PGS003994 (dbslmm.auto.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 778,205 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003994/ScoringFiles/PGS003994.txt.gz | |
| PGS004010 (lassosum.auto.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 27,045 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004010/ScoringFiles/PGS004010.txt.gz | |
| PGS004021 (lassosum.CV.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 315,740 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004021/ScoringFiles/PGS004021.txt.gz | |
| PGS004049 (ldpred2.CV.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 373,627 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004049/ScoringFiles/PGS004049.txt.gz | |
| PGS004064 (megaprs.auto.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 402,214 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004064/ScoringFiles/PGS004064.txt.gz | |
| PGS004079 (megaprs.CV.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 402,214 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004079/ScoringFiles/PGS004079.txt.gz | |
| PGS004094 (prscs.auto.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
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 R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 755,048 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004103/ScoringFiles/PGS004103.txt.gz | |
| PGS004118 (pt_clump.auto.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 91 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004118/ScoringFiles/PGS004118.txt.gz | |
| PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 155 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004133/ScoringFiles/PGS004133.txt.gz | |
| PGS004148 (sbayesr.auto.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 671,211 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004148/ScoringFiles/PGS004148.txt.gz | |
| PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 778,275 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004163/ScoringFiles/PGS004163.txt.gz | |
| PGS004255 (GenoBoost_rheumatoid_arthritis_0) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 30 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004255/ScoringFiles/PGS004255.txt.gz |
| PGS004256 (GenoBoost_rheumatoid_arthritis_1) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004256/ScoringFiles/PGS004256.txt.gz |
| PGS004257 (GenoBoost_rheumatoid_arthritis_2) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004257/ScoringFiles/PGS004257.txt.gz |
| PGS004258 (GenoBoost_rheumatoid_arthritis_3) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004258/ScoringFiles/PGS004258.txt.gz |
| PGS004259 (GenoBoost_rheumatoid_arthritis_4) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004259/ScoringFiles/PGS004259.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) | arthritic joint disease | 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 |
| PGS004480 (disease.M19.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
M19 (Other arthrosis) | arthropathy | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004480/ScoringFiles/PGS004480.txt.gz |
| PGS004483 (disease.M25.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
M25 (Other joint disorders, not elsewhere classified) | arthropathy | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004483/ScoringFiles/PGS004483.txt.gz |
| PGS004484 (disease.M47.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
M47 (Spondylosis) | spondylosis | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004484/ScoringFiles/PGS004484.txt.gz |
| PGS004485 (disease.M48.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
M48 (Other spondylopathies) | spondylosis | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004485/ScoringFiles/PGS004485.txt.gz |
| PGS004486 (disease.M51.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
M51 (Other intervertebral disk disorders) | Intervertebral Disc Displacement | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004486/ScoringFiles/PGS004486.txt.gz |
| PGS004490 (disease.M81.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
M81 (Osteoporosis without pathological fracture) | osteoporosis | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004490/ScoringFiles/PGS004490.txt.gz |
| PGS004495 (disease.osteoporosis.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Osteoporosis | osteoporosis | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004495/ScoringFiles/PGS004495.txt.gz |
| PGS004547 (meta.M13.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
M13 (Other arthritis) | arthritic joint disease | 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 |
| PGS004550 (meta.M19.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
M19 (Other arthrosis) | arthropathy | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004550/ScoringFiles/PGS004550.txt.gz |
| PGS004553 (meta.M25.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
M25 (Other joint disorders, not elsewhere classified) | arthropathy | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004553/ScoringFiles/PGS004553.txt.gz |
| PGS004554 (meta.M47.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
M47 (Spondylosis) | spondylosis | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004554/ScoringFiles/PGS004554.txt.gz |
| PGS004555 (meta.M48.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
M48 (Other spondylopathies) | spondylosis | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004555/ScoringFiles/PGS004555.txt.gz |
| PGS004556 (meta.M51.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
M51 (Other intervertebral disk disorders) | Intervertebral Disc Displacement | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004556/ScoringFiles/PGS004556.txt.gz |
| PGS004560 (meta.M81.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
M81 (Osteoporosis without pathological fracture) | osteoporosis | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004560/ScoringFiles/PGS004560.txt.gz |
| PGS004565 (meta.osteoporosis.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Osteoporosis | osteoporosis | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004565/ScoringFiles/PGS004565.txt.gz |
| PGS004809 (osteoporosis_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Osteoporosis | osteoporosis | 863,731 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004809/ScoringFiles/PGS004809.txt.gz |
| PGS004810 (osteoporosis_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Osteoporosis | osteoporosis | 1,876,917 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004810/ScoringFiles/PGS004810.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 |
| PGS004861 (hermes.gwama) |
PGP000608 | Zheng SL et al. Nat Genet (2024) |
Dilated cardiomyopathy | dilated cardiomyopathy | 713,932 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004861/ScoringFiles/PGS004861.txt.gz |
| PGS004862 (hermes.mtag) |
PGP000608 | Zheng SL et al. Nat Genet (2024) |
Dilated cardiomyopathy (MTAG) | dilated cardiomyopathy | 709,534 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004862/ScoringFiles/PGS004862.txt.gz |
| PGS004873 (INTERVENE_MegaPRS_RA) |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 551,074 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004873/ScoringFiles/PGS004873.txt.gz | |
| PGS004882 (INTERVENE_MegaPRS_Hip_osteoarthritis) |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Hip osteoarthritis | osteoarthritis, hip | 773,587 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004882/ScoringFiles/PGS004882.txt.gz | |
| PGS004883 (INTERVENE_MegaPRS_Knee_osteoarthritis) |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Knee osteoarthritis | osteoarthritis, knee | 952,133 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004883/ScoringFiles/PGS004883.txt.gz | |
| PGS004910 (hcm.gwama) |
PGP000642 | Zheng SL et al. Nat Genet (2025) |
Hypertrophic cardiomyopathy | hypertrophic cardiomyopathy | 374,190 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004910/ScoringFiles/PGS004910.txt.gz |
| PGS004911 (hcm.mtag) |
PGP000642 | Zheng SL et al. Nat Genet (2025) |
Hypertrophic cardiomyopathy (MTAG) | hypertrophic cardiomyopathy | 374,114 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004911/ScoringFiles/PGS004911.txt.gz |
| PGS004946 (DCM_GWAS_exclMGBB) |
PGP000672 | Jurgens SJ et al. Nat Genet (2024) |
Dilated cardiomyopathy | dilated cardiomyopathy | 1,098,677 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004946/ScoringFiles/PGS004946.txt.gz |
| PGS004947 (DCM_MTAG_exclMGBB) |
PGP000672 | Jurgens SJ et al. Nat Genet (2024) |
Dilated cardiomyopathy (MTAG) | dilated cardiomyopathy | 1,072,247 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004947/ScoringFiles/PGS004947.txt.gz |
| PGS004948 (DCM_GWAS_exclUKB) |
PGP000672 | Jurgens SJ et al. Nat Genet (2024) |
Dilated cardiomyopathy | dilated cardiomyopathy | 1,068,761 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004948/ScoringFiles/PGS004948.txt.gz |
| PGS004949 (DCM_MTAG_exclUKB) |
PGP000672 | Jurgens SJ et al. Nat Genet (2024) |
Dilated cardiomyopathy (MTAG) | dilated cardiomyopathy | 1,038,394 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004949/ScoringFiles/PGS004949.txt.gz |
| PGS004950 (DCM_GWAS_exclAUMC) |
PGP000672 | Jurgens SJ et al. Nat Genet (2024) |
Dilated cardiomyopathy | dilated cardiomyopathy | 1,098,677 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004950/ScoringFiles/PGS004950.txt.gz |
| PGS004951 (DCM_MTAG_exclAUMC) |
PGP000672 | Jurgens SJ et al. Nat Genet (2024) |
Dilated cardiomyopathy (MTAG) | dilated cardiomyopathy | 1,075,760 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004951/ScoringFiles/PGS004951.txt.gz |
| PGS005146 (Osteoporosis (PRS-CS; EAS)) |
PGP000704 | Jung HU et al. Commun Biol (2025) |
Osteoporosis | osteoporosis | 908,465 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005146/ScoringFiles/PGS005146.txt.gz |
| PGS005155 (Osteoporosis (PRS-CSx; EAS+EUR)) |
PGP000704 | Jung HU et al. Commun Biol (2025) |
Osteoporosis | osteoporosis | 908,465 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005155/ScoringFiles/PGS005155.txt.gz |
| PGS018416 (PRS_knee) |
PGP000833 | Wei Y et al. Clin Nutr (2024) |
Knee osteoarthritis | osteoarthritis, knee | 83 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018416/ScoringFiles/PGS018416.txt.gz |
| PGS018417 (PRS_hip) |
PGP000833 | Wei Y et al. Clin Nutr (2024) |
Hip osteoarthritis | osteoarthritis, hip | 70 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018417/ScoringFiles/PGS018417.txt.gz |
| PGS018625 (TPMI_218.1_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Uterine leiomyoma | uterine corpus leiomyoma | 2,512 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018625/ScoringFiles/PGS018625.txt.gz | |
| PGS018626 (TPMI_218.1_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Uterine leiomyoma | uterine corpus leiomyoma | 270,998 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018626/ScoringFiles/PGS018626.txt.gz | |
| PGS018627 (TPMI_218.1_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Uterine leiomyoma | uterine corpus leiomyoma | 34,428 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018627/ScoringFiles/PGS018627.txt.gz | |
| PGS018628 (TPMI_218.1_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Uterine leiomyoma | uterine corpus leiomyoma | 983,780 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018628/ScoringFiles/PGS018628.txt.gz | |
| PGS018629 (TPMI_218.1_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Uterine leiomyoma | uterine corpus leiomyoma | 976,959 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018629/ScoringFiles/PGS018629.txt.gz | |
| PGS018816 (TPMI_274_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Gout and other crystal arthropathies | chondrocalcinosis 2 | 7,370 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018816/ScoringFiles/PGS018816.txt.gz | |
| PGS018817 (TPMI_274_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Gout and other crystal arthropathies | chondrocalcinosis 2 | 939,841 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018817/ScoringFiles/PGS018817.txt.gz | |
| PGS018818 (TPMI_274_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Gout and other crystal arthropathies | chondrocalcinosis 2 | 483,537 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018818/ScoringFiles/PGS018818.txt.gz | |
| PGS018819 (TPMI_274_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Gout and other crystal arthropathies | chondrocalcinosis 2 | 983,787 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018819/ScoringFiles/PGS018819.txt.gz | |
| PGS018820 (TPMI_274_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Gout and other crystal arthropathies | chondrocalcinosis 2 | 1,071,466 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018820/ScoringFiles/PGS018820.txt.gz | |
| PGS018821 (TPMI_274_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Gout and other crystal arthropathies | chondrocalcinosis 2 | 898,949 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018821/ScoringFiles/PGS018821.txt.gz | |
| PGS019270 (TPMI_475_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic sinusitis | chronic rhinosinusitis | 16 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019270/ScoringFiles/PGS019270.txt.gz | |
| PGS019271 (TPMI_475_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic sinusitis | chronic rhinosinusitis | 939,862 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019271/ScoringFiles/PGS019271.txt.gz | |
| PGS019272 (TPMI_475_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic sinusitis | chronic rhinosinusitis | 15,628 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019272/ScoringFiles/PGS019272.txt.gz | |
| PGS019273 (TPMI_475_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic sinusitis | chronic rhinosinusitis | 983,804 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019273/ScoringFiles/PGS019273.txt.gz | |
| PGS019274 (TPMI_475_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic sinusitis | chronic rhinosinusitis | 968,351 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019274/ScoringFiles/PGS019274.txt.gz | |
| PGS019300 (TPMI_523_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Gingival and periodontal diseases | tooth disorder | 798,545 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019300/ScoringFiles/PGS019300.txt.gz | |
| PGS019301 (TPMI_523_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Gingival and periodontal diseases | tooth disorder | 939,885 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019301/ScoringFiles/PGS019301.txt.gz | |
| PGS019302 (TPMI_523_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Gingival and periodontal diseases | tooth disorder | 25,354 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019302/ScoringFiles/PGS019302.txt.gz | |
| PGS019303 (TPMI_523_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Gingival and periodontal diseases | tooth disorder | 983,820 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019303/ScoringFiles/PGS019303.txt.gz | |
| PGS019304 (TPMI_523_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Gingival and periodontal diseases | tooth disorder | 937,449 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019304/ScoringFiles/PGS019304.txt.gz | |
| PGS019305 (TPMI_523.1_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Gingivitis | gingivitis | 38,420 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019305/ScoringFiles/PGS019305.txt.gz | |
| PGS019306 (TPMI_523.1_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Gingivitis | gingivitis | 939,855 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019306/ScoringFiles/PGS019306.txt.gz | |
| PGS019307 (TPMI_523.1_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Gingivitis | gingivitis | 28,584 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019307/ScoringFiles/PGS019307.txt.gz | |
| PGS019308 (TPMI_523.1_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Gingivitis | gingivitis | 983,793 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019308/ScoringFiles/PGS019308.txt.gz | |
| PGS019309 (TPMI_523.1_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Gingivitis | gingivitis | 989,009 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019309/ScoringFiles/PGS019309.txt.gz | |
| PGS019310 (TPMI_523.3_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Periodontitis acute or chronic | acute pericementitis | 800,498 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019310/ScoringFiles/PGS019310.txt.gz | |
| PGS019311 (TPMI_523.3_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Periodontitis acute or chronic | acute pericementitis | 939,880 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019311/ScoringFiles/PGS019311.txt.gz | |
| PGS019312 (TPMI_523.3_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Periodontitis acute or chronic | acute pericementitis | 507,697 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019312/ScoringFiles/PGS019312.txt.gz | |
| PGS019313 (TPMI_523.3_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Periodontitis acute or chronic | acute pericementitis | 983,817 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019313/ScoringFiles/PGS019313.txt.gz | |
| PGS019314 (TPMI_523.3_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Periodontitis acute or chronic | acute pericementitis | 934,116 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019314/ScoringFiles/PGS019314.txt.gz | |
| PGS019320 (TPMI_526.4_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Temporomandibular joint disorders | temporomandibular joint disorder | 482,939 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019320/ScoringFiles/PGS019320.txt.gz | |
| PGS019321 (TPMI_526.4_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Temporomandibular joint disorders | temporomandibular joint disorder | 939,803 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019321/ScoringFiles/PGS019321.txt.gz | |
| PGS019322 (TPMI_526.4_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Temporomandibular joint disorders | temporomandibular joint disorder | 19,676 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019322/ScoringFiles/PGS019322.txt.gz | |
| PGS019323 (TPMI_526.4_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Temporomandibular joint disorders | temporomandibular joint disorder | 983,748 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019323/ScoringFiles/PGS019323.txt.gz | |
| PGS019324 (TPMI_526.4_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Temporomandibular joint disorders | temporomandibular joint disorder | 1,011,614 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019324/ScoringFiles/PGS019324.txt.gz | |
| PGS019623 (TPMI_696.42_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriatic arthropathy | psoriatic arthritis | 1,224 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019623/ScoringFiles/PGS019623.txt.gz | |
| PGS019624 (TPMI_696.42_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriatic arthropathy | psoriatic arthritis | 939,799 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019624/ScoringFiles/PGS019624.txt.gz | |
| PGS019625 (TPMI_696.42_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriatic arthropathy | psoriatic arthritis | 37,037 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019625/ScoringFiles/PGS019625.txt.gz | |
| PGS019626 (TPMI_696.42_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriatic arthropathy | psoriatic arthritis | 983,751 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019626/ScoringFiles/PGS019626.txt.gz | |
| PGS019627 (TPMI_696.42_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriatic arthropathy | psoriatic arthritis | 1,071,405 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019627/ScoringFiles/PGS019627.txt.gz | |
| PGS019628 (TPMI_696.42_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriatic arthropathy | psoriatic arthritis | 996,498 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019628/ScoringFiles/PGS019628.txt.gz | |
| PGS019656 (TPMI_714_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis and other inflammatory polyarthropathies | rheumatoid arthritis | 1,304 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019656/ScoringFiles/PGS019656.txt.gz | |
| PGS019657 (TPMI_714_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis and other inflammatory polyarthropathies | rheumatoid arthritis | 939,829 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019657/ScoringFiles/PGS019657.txt.gz | |
| PGS019658 (TPMI_714_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis and other inflammatory polyarthropathies | rheumatoid arthritis | 28,836 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019658/ScoringFiles/PGS019658.txt.gz | |
| PGS019659 (TPMI_714_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis and other inflammatory polyarthropathies | rheumatoid arthritis | 983,784 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019659/ScoringFiles/PGS019659.txt.gz | |
| PGS019660 (TPMI_714_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis and other inflammatory polyarthropathies | rheumatoid arthritis | 554,495 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019660/ScoringFiles/PGS019660.txt.gz | |
| PGS019661 (TPMI_714.1_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis | rheumatoid arthritis | 2,493 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019661/ScoringFiles/PGS019661.txt.gz | |
| PGS019662 (TPMI_714.1_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis | rheumatoid arthritis | 939,827 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019662/ScoringFiles/PGS019662.txt.gz | |
| PGS019663 (TPMI_714.1_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis | rheumatoid arthritis | 33,790 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019663/ScoringFiles/PGS019663.txt.gz | |
| PGS019664 (TPMI_714.1_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis | rheumatoid arthritis | 983,784 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019664/ScoringFiles/PGS019664.txt.gz | |
| PGS019665 (TPMI_714.1_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis | rheumatoid arthritis | 913,921 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019665/ScoringFiles/PGS019665.txt.gz | |
| PGS019666 (TPMI_715_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Other inflammatory spondylopathies | inflammatory spondylopathy | 27 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019666/ScoringFiles/PGS019666.txt.gz | |
| PGS019667 (TPMI_715_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Other inflammatory spondylopathies | inflammatory spondylopathy | 939,889 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019667/ScoringFiles/PGS019667.txt.gz | |
| PGS019668 (TPMI_715_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Other inflammatory spondylopathies | inflammatory spondylopathy | 294,406 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019668/ScoringFiles/PGS019668.txt.gz | |
| PGS019669 (TPMI_715_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Other inflammatory spondylopathies | inflammatory spondylopathy | 983,832 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019669/ScoringFiles/PGS019669.txt.gz | |
| PGS019670 (TPMI_715_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Other inflammatory spondylopathies | inflammatory spondylopathy | 791,011 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019670/ScoringFiles/PGS019670.txt.gz | |
| PGS019671 (TPMI_715.2_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Ankylosing spondylitis | ankylosing spondylitis | 20 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019671/ScoringFiles/PGS019671.txt.gz | |
| PGS019672 (TPMI_715.2_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Ankylosing spondylitis | ankylosing spondylitis | 939,888 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019672/ScoringFiles/PGS019672.txt.gz | |
| PGS019673 (TPMI_715.2_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Ankylosing spondylitis | ankylosing spondylitis | 292,554 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019673/ScoringFiles/PGS019673.txt.gz | |
| PGS019674 (TPMI_715.2_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Ankylosing spondylitis | ankylosing spondylitis | 983,830 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019674/ScoringFiles/PGS019674.txt.gz | |
| PGS019675 (TPMI_715.2_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Ankylosing spondylitis | ankylosing spondylitis | 1,071,343 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019675/ScoringFiles/PGS019675.txt.gz | |
| PGS019676 (TPMI_715.2_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Ankylosing spondylitis | ankylosing spondylitis | 940,059 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019676/ScoringFiles/PGS019676.txt.gz | |
| PGS019677 (TPMI_716_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Other arthropathies | arthropathy | 22 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019677/ScoringFiles/PGS019677.txt.gz | |
| PGS019678 (TPMI_716_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Other arthropathies | arthropathy | 939,889 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019678/ScoringFiles/PGS019678.txt.gz | |
| PGS019679 (TPMI_716_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Other arthropathies | arthropathy | 11,934 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019679/ScoringFiles/PGS019679.txt.gz | |
| PGS019680 (TPMI_716_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Other arthropathies | arthropathy | 983,822 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019680/ScoringFiles/PGS019680.txt.gz | |
| PGS019681 (TPMI_716_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Other arthropathies | arthropathy | 953,818 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019681/ScoringFiles/PGS019681.txt.gz | |
| PGS019682 (TPMI_716.1_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Unspecified polyarthropathy or polyarthritis | arthropathy | 5 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019682/ScoringFiles/PGS019682.txt.gz | |
| PGS019683 (TPMI_716.1_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Unspecified polyarthropathy or polyarthritis | arthropathy | 939,829 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019683/ScoringFiles/PGS019683.txt.gz | |
| PGS019684 (TPMI_716.1_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Unspecified polyarthropathy or polyarthritis | arthropathy | 483,730 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019684/ScoringFiles/PGS019684.txt.gz | |
| PGS019685 (TPMI_716.1_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Unspecified polyarthropathy or polyarthritis | arthropathy | 983,781 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019685/ScoringFiles/PGS019685.txt.gz | |
| PGS019686 (TPMI_716.1_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Unspecified polyarthropathy or polyarthritis | arthropathy | 981,996 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019686/ScoringFiles/PGS019686.txt.gz | |
| PGS019687 (TPMI_716.8_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Palindromic rheumatism | palindromic rheumatism | 40 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019687/ScoringFiles/PGS019687.txt.gz | |
| PGS019688 (TPMI_716.8_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Palindromic rheumatism | palindromic rheumatism | 939,830 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019688/ScoringFiles/PGS019688.txt.gz | |
| PGS019689 (TPMI_716.8_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Palindromic rheumatism | palindromic rheumatism | 402,924 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019689/ScoringFiles/PGS019689.txt.gz | |
| PGS019690 (TPMI_716.8_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Palindromic rheumatism | palindromic rheumatism | 983,781 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019690/ScoringFiles/PGS019690.txt.gz | |
| PGS019691 (TPMI_716.8_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Palindromic rheumatism | palindromic rheumatism | 1,000,628 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019691/ScoringFiles/PGS019691.txt.gz | |
| PGS019692 (TPMI_716.9_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Arthropathy NOS | arthropathy | 19 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019692/ScoringFiles/PGS019692.txt.gz | |
| PGS019693 (TPMI_716.9_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Arthropathy NOS | arthropathy | 939,890 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019693/ScoringFiles/PGS019693.txt.gz | |
| PGS019694 (TPMI_716.9_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Arthropathy NOS | arthropathy | 485,041 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019694/ScoringFiles/PGS019694.txt.gz | |
| PGS019695 (TPMI_716.9_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Arthropathy NOS | arthropathy | 983,823 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019695/ScoringFiles/PGS019695.txt.gz | |
| PGS019696 (TPMI_716.9_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Arthropathy NOS | arthropathy | 928,818 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019696/ScoringFiles/PGS019696.txt.gz | |
| PGS019722 (TPMI_743_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Osteoporosis osteopenia and pathological fracture | osteoporosis, bone fracture |
69,652 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019722/ScoringFiles/PGS019722.txt.gz | |
| PGS019723 (TPMI_743_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Osteoporosis osteopenia and pathological fracture | osteoporosis, bone fracture |
365,313 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019723/ScoringFiles/PGS019723.txt.gz | |
| PGS019724 (TPMI_743_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Osteoporosis osteopenia and pathological fracture | osteoporosis, bone fracture |
16,942 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019724/ScoringFiles/PGS019724.txt.gz | |
| PGS019725 (TPMI_743_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Osteoporosis osteopenia and pathological fracture | osteoporosis, bone fracture |
983,829 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019725/ScoringFiles/PGS019725.txt.gz | |
| PGS019726 (TPMI_743_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Osteoporosis osteopenia and pathological fracture | osteoporosis, bone fracture |
957,929 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019726/ScoringFiles/PGS019726.txt.gz | |
| PGS019727 (TPMI_743.11_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Osteoporosis NOS | osteoporosis | 419 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019727/ScoringFiles/PGS019727.txt.gz | |
| PGS019728 (TPMI_743.11_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Osteoporosis NOS | osteoporosis | 317,022 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019728/ScoringFiles/PGS019728.txt.gz | |
| PGS019729 (TPMI_743.11_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Osteoporosis NOS | osteoporosis | 27,110 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019729/ScoringFiles/PGS019729.txt.gz | |
| PGS019730 (TPMI_743.11_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Osteoporosis NOS | osteoporosis | 983,826 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019730/ScoringFiles/PGS019730.txt.gz | |
| PGS019731 (TPMI_743.11_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Osteoporosis NOS | osteoporosis | 989,191 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019731/ScoringFiles/PGS019731.txt.gz | |
| PGS019737 (TPMI_772_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Symptoms of the muscles | muscular disease | 56,926 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019737/ScoringFiles/PGS019737.txt.gz | |
| PGS019738 (TPMI_772_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Symptoms of the muscles | muscular disease | 939,897 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019738/ScoringFiles/PGS019738.txt.gz | |
| PGS019739 (TPMI_772_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Symptoms of the muscles | muscular disease | 22,400 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019739/ScoringFiles/PGS019739.txt.gz | |
| PGS019740 (TPMI_772_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Symptoms of the muscles | muscular disease | 983,830 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019740/ScoringFiles/PGS019740.txt.gz | |
| PGS019741 (TPMI_772_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Symptoms of the muscles | muscular disease | 981,590 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019741/ScoringFiles/PGS019741.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) |
| 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) |
| 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] | — | — | — |
| 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] | — | — | — |
| PPM001765 | PGS000739 (HCM_GRS) |
PSS000909| Multi-ancestry (including European)| 41,597 individuals |
PGP000146 | Harper AR et al. Nat Genet (2021) |
Reported Trait: Hypertrophic cardiomyopathy | OR: 1.73 [1.63, 1.83] | — | — | Age, gender, PCs(1-10) | — |
| PPM001767 | PGS000739 (HCM_GRS) |
PSS000910| Multi-ancestry (including European)| 20,501 individuals |
PGP000146 | Harper AR et al. Nat Genet (2021) |
Reported Trait: Hypertrophic cardiomyopathy carrying a pathogenic sarcomere mutation | OR: 1.54 [1.39, 1.69] | — | — | Age, gender, PCs(1-10) | — |
| PPM001766 | PGS000739 (HCM_GRS) |
PSS000908| Multi-ancestry (including European)| 21,095 individuals |
PGP000146 | Harper AR et al. Nat Genet (2021) |
Reported Trait: Hypertrophic cardiomyopathy in individuals who do not carry a pathogenic sarcomere mutation | OR: 1.8 [1.67, 1.93] | — | — | Age, gender, PCs(1-10) | — |
| PPM018527 | PGS000739 (HCM_GRS) |
PSS011008| European Ancestry| 184,511 individuals |
PGP000476 | Biddinger KJ et al. JAMA Cardiol (2022) |Ext. |
Reported Trait: Hypertrophic cardiomyopathy | OR: 1.556 [1.361, 1.778] | — | — | — | — |
| PPM018528 | PGS000739 (HCM_GRS) |
PSS011008| European Ancestry| 184,511 individuals |
PGP000476 | Biddinger KJ et al. JAMA Cardiol (2022) |Ext. |
Reported Trait: Hypertrophic cardiomyopathy in noncarriers of an HCM-ACMG rare variant | OR: 1.585 [1.375, 1.828] | — | — | — | — |
| PPM018529 | PGS000739 (HCM_GRS) |
PSS011007| European Ancestry| 30,716 individuals |
PGP000476 | Biddinger KJ et al. JAMA Cardiol (2022) |Ext. |
Reported Trait: Hypertrophic cardiomyopathy | OR: 1.35 [1.21, 1.51] | — | — | — | — |
| PPM018530 | PGS000739 (HCM_GRS) |
PSS011008| European Ancestry| 184,511 individuals |
PGP000476 | Biddinger KJ et al. JAMA Cardiol (2022) |Ext. |
Reported Trait: Hypertrophic cardiomyopathy | HR: 1.795 [1.521, 2.117] | AUROC: 0.725 [0.678, 0.771] | — | Age, sex, genotyping array, and PCs 1-5 | — |
| PPM018531 | PGS000739 (HCM_GRS) |
PSS011008| European Ancestry| 184,511 individuals |
PGP000476 | Biddinger KJ et al. JAMA Cardiol (2022) |Ext. |
Reported Trait: Hypertrophic cardiomyopathy | — | AUROC: 0.821 [0.772, 0.871] | — | Clinical risk factors (obesity, HTN, AF, CAD), HCM-ACMG rare variant carrier status, age, sex, genotyping array, and PCs 1-5 | — |
| PPM002016 | PGS000778 (PRSHCM) |
PSS000999| Ancestry Not Reported| 368 individuals |
PGP000182 | Tadros R et al. Nat Genet (2021) |
Reported Trait: Clinical events in individuals with a pathogenic or likely pathogenic sarcomeric variant | HR: 1.28 [1.06, 1.54] β: 0.247 (0.095) |
— | — | Genetic relatedness matrix, sex | Clinical events includes time to septal reduction therapy, cardiac transplantation, sustained ventricular arrhythmia, sudden cardiac death, appropriate ICD therapy or atrial fibrillation/flutter. |
| PPM002017 | PGS000778 (PRSHCM) |
PSS001000| Ancestry Not Reported| 368 individuals |
PGP000182 | Tadros R et al. Nat Genet (2021) |
Reported Trait: Major clinical events in individuals with a pathogenic or likely pathogenic sarcomeric variant | HR: 1.29 [1.04, 1.59] β: 0.255 (0.108) |
— | — | Genetic relatedness matrix, sex | Major clinical events includes time to septal reduction therapy, cardiac transplantation, sustained ventricular arrhythmia, sudden cardiac death or appropriate ICD therapy. |
| PPM002018 | PGS000778 (PRSHCM) |
PSS001004| Ancestry Not Reported| 368 individuals |
PGP000182 | Tadros R et al. Nat Genet (2021) |
Reported Trait: Septal reduction therapy in individuals with a pathogenic or likely pathogenic sarcomeric variant | HR: 1.36 [1.06, 1.74] β: 0.304 (0.127) |
— | — | Genetic relatedness matrix, sex | Septal reduction therapy includes time time to septal myectomy or alcohol septal ablation. |
| PPM002020 | PGS000778 (PRSHCM) |
PSS001003| Ancestry Not Reported| 194 individuals |
PGP000182 | Tadros R et al. Nat Genet (2021) |
Reported Trait: Maximal left ventricular wall thickness indexed to body surface area (mm/m^2) in individuals with a pathogenic or likely pathogenic sarcomeric variant | β: 0.731 (0.238) | — | — | Genetic relatedness matrix | Each standard deviation increase in the polgyenic risk score is associated with 0.7 mm m^-2 increase in maximal left ventricular wall thickness. |
| PPM002021 | PGS000778 (PRSHCM) |
PSS001002| Ancestry Not Reported| 214 individuals |
PGP000182 | Tadros R et al. Nat Genet (2021) |
Reported Trait: Clinical events in in individuals with a pathogenic or likely pathogenic sarcomeric variant | HR: 1.53 [1.05, 2.22] β: 0.422 (0.193) |
— | — | Genetic relatedness matrix, sex | Clinical events includes time to septal reduction therapy, cardiac transplantation, sustained ventricular arrhythmia, sudden cardiac death, appropriate ICD therapy or atrial fibrillation/flutter. |
| PPM002015 | PGS000778 (PRSHCM) |
PSS001001| Ancestry Not Reported| 322 individuals |
PGP000182 | Tadros R et al. Nat Genet (2021) |
Reported Trait: Maximal left ventricular wall thickness indexed to body surface area (mm/m^2) in individuals with a pathogenic or likely pathogenic sarcomeric variant | β: 0.726 (0.188) | — | — | Genetic relatedness matrix | Each standard deviation increase in the polgyenic risk score is associated with 0.7 mm m^-2 increase in maximal left ventricular wall thickness. |
| PPM007487 | PGS000932 (GBE_HC1248) |
PSS004233| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other intervertebral disk disorders | — | AUROC: 0.61914 [0.58359, 0.6547] | R²: 0.02448 Incremental AUROC (full-covars): 0.00264 PGS R2 (no covariates): 0.00207 PGS AUROC (no covariates): 0.53493 [0.49884, 0.57101] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007488 | PGS000932 (GBE_HC1248) |
PSS004234| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other intervertebral disk disorders | — | AUROC: 0.67311 [0.59003, 0.7562] | R²: 0.04246 Incremental AUROC (full-covars): 0.00165 PGS R2 (no covariates): 0.00022 PGS AUROC (no covariates): 0.51372 [0.42189, 0.60556] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007489 | PGS000932 (GBE_HC1248) |
PSS004235| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other intervertebral disk disorders | — | AUROC: 0.55895 [0.54143, 0.57647] | R²: 0.00607 Incremental AUROC (full-covars): 0.01294 PGS R2 (no covariates): 0.00286 PGS AUROC (no covariates): 0.54031 [0.52281, 0.55781] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007490 | PGS000932 (GBE_HC1248) |
PSS004236| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other intervertebral disk disorders | — | AUROC: 0.59693 [0.5672, 0.62666] | R²: 0.01653 Incremental AUROC (full-covars): 0.00562 PGS R2 (no covariates): 0.00176 PGS AUROC (no covariates): 0.52887 [0.49726, 0.56049] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007491 | PGS000932 (GBE_HC1248) |
PSS004237| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other intervertebral disk disorders | — | AUROC: 0.54155 [0.53124, 0.55187] | R²: 0.00313 Incremental AUROC (full-covars): 0.01449 PGS R2 (no covariates): 0.00232 PGS AUROC (no covariates): 0.5375 [0.52711, 0.54788] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007644 | PGS000964 (GBE_HC176) |
PSS004326| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Prolapsed disc/slipped disc | — | AUROC: 0.63682 [0.56928, 0.70437] | R²: 0.02156 Incremental AUROC (full-covars): 0.00372 PGS R2 (no covariates): 0.00327 PGS AUROC (no covariates): 0.55166 [0.47346, 0.62985] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007645 | PGS000964 (GBE_HC176) |
PSS004327| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Prolapsed disc/slipped disc | — | AUROC: 0.81007 [0.70133, 0.91881] | R²: 0.11316 Incremental AUROC (full-covars): -0.00081 PGS R2 (no covariates): 0.00529 PGS AUROC (no covariates): 0.44295 [0.26666, 0.61923] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007646 | PGS000964 (GBE_HC176) |
PSS004328| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Prolapsed disc/slipped disc | — | AUROC: 0.56388 [0.53738, 0.59039] | R²: 0.00535 Incremental AUROC (full-covars): 0.00616 PGS R2 (no covariates): 0.00079 PGS AUROC (no covariates): 0.5207 [0.49331, 0.54808] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007647 | PGS000964 (GBE_HC176) |
PSS004329| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Prolapsed disc/slipped disc | — | AUROC: 0.61724 [0.56387, 0.67062] | R²: 0.01708 Incremental AUROC (full-covars): 0.00757 PGS R2 (no covariates): 0.00213 PGS AUROC (no covariates): 0.54913 [0.49663, 0.60163] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007648 | PGS000964 (GBE_HC176) |
PSS004330| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Prolapsed disc/slipped disc | — | AUROC: 0.5452 [0.52946, 0.56094] | R²: 0.0026 Incremental AUROC (full-covars): 0.01313 PGS R2 (no covariates): 0.00226 PGS AUROC (no covariates): 0.54225 [0.5262, 0.5583] |
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 |
| 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 |
| 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 |
| PPM008779 | PGS001254 (GBE_HC177) |
PSS004332| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Dupuytren's contracture | — | AUROC: 0.78857 [0.69837, 0.87877] | R²: 0.07412 Incremental AUROC (full-covars): 0.03925 PGS R2 (no covariates): 0.02488 PGS AUROC (no covariates): 0.65251 [0.53357, 0.77144] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008780 | PGS001254 (GBE_HC177) |
PSS004333| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Dupuytren's contracture | — | AUROC: 0.74126 [0.69429, 0.78823] | R²: 0.05438 Incremental AUROC (full-covars): 0.04471 PGS R2 (no covariates): 0.02466 PGS AUROC (no covariates): 0.66457 [0.60823, 0.72091] |
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 |
| PPM008863 | PGS001273 (GBE_HC22) |
PSS004369| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Osteoporosis | — | AUROC: 0.75545 [0.70356, 0.80735] | R²: 0.08703 Incremental AUROC (full-covars): -0.00106 PGS R2 (no covariates): 0.00045 PGS AUROC (no covariates): 0.51891 [0.45926, 0.57855] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008864 | PGS001273 (GBE_HC22) |
PSS004370| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Osteoporosis | — | AUROC: 0.85769 [0.79768, 0.9177] | R²: 0.20187 Incremental AUROC (full-covars): -0.00208 PGS R2 (no covariates): 0.0 PGS AUROC (no covariates): 0.50947 [0.39122, 0.62773] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008865 | PGS001273 (GBE_HC22) |
PSS004371| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Osteoporosis | — | AUROC: 0.78972 [0.77584, 0.8036] | R²: 0.14567 Incremental AUROC (full-covars): 0.00477 PGS R2 (no covariates): 0.00688 PGS AUROC (no covariates): 0.5685 [0.55009, 0.58691] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008866 | PGS001273 (GBE_HC22) |
PSS004372| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Osteoporosis | — | AUROC: 0.82202 [0.79395, 0.85009] | R²: 0.17031 Incremental AUROC (full-covars): 0.00037 PGS R2 (no covariates): 5e-05 PGS AUROC (no covariates): 0.50461 [0.4652, 0.54402] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008867 | PGS001273 (GBE_HC22) |
PSS004373| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Osteoporosis | — | AUROC: 0.7643 [0.75478, 0.77381] | R²: 0.1146 Incremental AUROC (full-covars): 0.00589 PGS R2 (no covariates): 0.00698 PGS AUROC (no covariates): 0.5684 [0.55603, 0.58076] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008868 | PGS001274 (GBE_HC1268) |
PSS004243| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE osteoporosis without pathological fracture | — | AUROC: 0.74925 [0.69511, 0.80339] | R²: 0.08288 Incremental AUROC (full-covars): -0.00137 PGS R2 (no covariates): 0.00122 PGS AUROC (no covariates): 0.51972 [0.45381, 0.58563] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008869 | PGS001274 (GBE_HC1268) |
PSS004244| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE osteoporosis without pathological fracture | — | AUROC: 0.81083 [0.73828, 0.88338] | R²: 0.14813 Incremental AUROC (full-covars): -0.0044 PGS R2 (no covariates): 9e-05 PGS AUROC (no covariates): 0.50546 [0.40063, 0.61028] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008870 | PGS001274 (GBE_HC1268) |
PSS004245| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE osteoporosis without pathological fracture | — | AUROC: 0.79652 [0.78363, 0.8094] | R²: 0.15697 Incremental AUROC (full-covars): 0.00777 PGS R2 (no covariates): 0.00945 PGS AUROC (no covariates): 0.57595 [0.55816, 0.59374] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008871 | PGS001274 (GBE_HC1268) |
PSS004246| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE osteoporosis without pathological fracture | — | AUROC: 0.81463 [0.78571, 0.84355] | R²: 0.16403 Incremental AUROC (full-covars): -0.00198 PGS R2 (no covariates): 0.00037 PGS AUROC (no covariates): 0.51416 [0.47459, 0.55374] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008872 | PGS001274 (GBE_HC1268) |
PSS004247| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE osteoporosis without pathological fracture | — | AUROC: 0.77492 [0.76604, 0.7838] | R²: 0.12779 Incremental AUROC (full-covars): 0.00797 PGS R2 (no covariates): 0.0089 PGS AUROC (no covariates): 0.57419 [0.56237, 0.586] |
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 |
| 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 | — |
| 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 | — |
| PPM009917 | PGS001879 (portability-PLR_727.4) |
PSS009356| European Ancestry| 18,953 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ganglion and cyst of synovium, tendon, and bursa | — | — | Partial Correlation (partial-r): 0.0188 [0.0046, 0.033] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009918 | PGS001879 (portability-PLR_727.4) |
PSS009130| European Ancestry| 3,909 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ganglion and cyst of synovium, tendon, and bursa | — | — | Partial Correlation (partial-r): -0.0022 [-0.0337, 0.0292] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009919 | PGS001879 (portability-PLR_727.4) |
PSS008684| European Ancestry| 6,366 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ganglion and cyst of synovium, tendon, and bursa | — | — | Partial Correlation (partial-r): -0.0003 [-0.0249, 0.0243] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009920 | PGS001879 (portability-PLR_727.4) |
PSS008458| Greater Middle Eastern Ancestry| 1,137 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ganglion and cyst of synovium, tendon, and bursa | — | — | Partial Correlation (partial-r): -0.0036 [-0.0623, 0.0551] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009921 | PGS001879 (portability-PLR_727.4) |
PSS008238| South Asian Ancestry| 5,964 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ganglion and cyst of synovium, tendon, and bursa | — | — | Partial Correlation (partial-r): 0.0056 [-0.0198, 0.031] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009922 | PGS001879 (portability-PLR_727.4) |
PSS008017| East Asian Ancestry| 1,759 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ganglion and cyst of synovium, tendon, and bursa | — | — | Partial Correlation (partial-r): -0.0128 [-0.0598, 0.0342] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009923 | PGS001879 (portability-PLR_727.4) |
PSS007802| African Ancestry| 2,358 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ganglion and cyst of synovium, tendon, and bursa | — | — | Partial Correlation (partial-r): -0.0261 [-0.0666, 0.0144] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009924 | PGS001879 (portability-PLR_727.4) |
PSS008906| African Ancestry| 3,779 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ganglion and cyst of synovium, tendon, and bursa | — | — | Partial Correlation (partial-r): 0.0184 [-0.0135, 0.0504] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009925 | PGS001880 (portability-PLR_728.71) |
PSS009357| European Ancestry| 18,971 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Contracture of palmar fascia [Dupuytren's disease] | — | — | Partial Correlation (partial-r): 0.0783 [0.0641, 0.0924] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009926 | PGS001880 (portability-PLR_728.71) |
PSS009131| European Ancestry| 3,900 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Contracture of palmar fascia [Dupuytren's disease] | — | — | Partial Correlation (partial-r): 0.1046 [0.0734, 0.1357] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009927 | PGS001880 (portability-PLR_728.71) |
PSS008685| European Ancestry| 6,356 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Contracture of palmar fascia [Dupuytren's disease] | — | — | Partial Correlation (partial-r): 0.076 [0.0514, 0.1004] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009928 | PGS001880 (portability-PLR_728.71) |
PSS008459| Greater Middle Eastern Ancestry| 1,131 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Contracture of palmar fascia [Dupuytren's disease] | — | — | Partial Correlation (partial-r): 0.0428 [-0.016, 0.1014] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009930 | PGS001880 (portability-PLR_728.71) |
PSS007803| African Ancestry| 2,335 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Contracture of palmar fascia [Dupuytren's disease] | — | — | Partial Correlation (partial-r): -0.0262 [-0.0669, 0.0145] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009931 | PGS001880 (portability-PLR_728.71) |
PSS008907| African Ancestry| 3,732 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Contracture of palmar fascia [Dupuytren's disease] | — | — | Partial Correlation (partial-r): -0.0009 [-0.0331, 0.0312] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009929 | PGS001880 (portability-PLR_728.71) |
PSS008239| South Asian Ancestry| 5,940 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Contracture of palmar fascia [Dupuytren's disease] | — | — | Partial Correlation (partial-r): 0.0269 [0.0014, 0.0524] | 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 | — |
| PPM009948 | PGS001883 (portability-PLR_743.1) |
PSS009360| European Ancestry| 19,982 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoporosis | — | — | Partial Correlation (partial-r): 0.0308 [0.017, 0.0447] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009949 | PGS001883 (portability-PLR_743.1) |
PSS009134| European Ancestry| 4,130 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoporosis | — | — | Partial Correlation (partial-r): -0.0002 [-0.0308, 0.0303] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009950 | PGS001883 (portability-PLR_743.1) |
PSS008688| European Ancestry| 6,657 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoporosis | — | — | Partial Correlation (partial-r): 0.0348 [0.0108, 0.0588] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009952 | PGS001883 (portability-PLR_743.1) |
PSS008242| South Asian Ancestry| 6,327 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoporosis | — | — | Partial Correlation (partial-r): -0.0028 [-0.0274, 0.0219] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009953 | PGS001883 (portability-PLR_743.1) |
PSS008020| East Asian Ancestry| 1,808 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoporosis | — | — | Partial Correlation (partial-r): 0.0046 [-0.0418, 0.0509] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009954 | PGS001883 (portability-PLR_743.1) |
PSS007806| African Ancestry| 2,483 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoporosis | — | — | Partial Correlation (partial-r): -0.0024 [-0.0419, 0.0371] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009955 | PGS001883 (portability-PLR_743.1) |
PSS008910| African Ancestry| 3,923 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoporosis | — | — | Partial Correlation (partial-r): 0.0028 [-0.0286, 0.0342] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009951 | PGS001883 (portability-PLR_743.1) |
PSS008462| Greater Middle Eastern Ancestry| 1,199 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoporosis | — | — | Partial Correlation (partial-r): 0.0115 [-0.0456, 0.0686] | 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 | — |
| PPM011593 | PGS002092 (portability-ldpred2_728.71) |
PSS009357| European Ancestry| 18,971 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Contracture of palmar fascia [Dupuytren's disease] | — | — | Partial Correlation (partial-r): 0.0797 [0.0655, 0.0938] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011594 | PGS002092 (portability-ldpred2_728.71) |
PSS009131| European Ancestry| 3,900 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Contracture of palmar fascia [Dupuytren's disease] | — | — | Partial Correlation (partial-r): 0.1036 [0.0724, 0.1346] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011596 | PGS002092 (portability-ldpred2_728.71) |
PSS008459| Greater Middle Eastern Ancestry| 1,131 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Contracture of palmar fascia [Dupuytren's disease] | — | — | Partial Correlation (partial-r): 0.045 [-0.0139, 0.1035] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011597 | PGS002092 (portability-ldpred2_728.71) |
PSS008239| South Asian Ancestry| 5,940 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Contracture of palmar fascia [Dupuytren's disease] | — | — | Partial Correlation (partial-r): 0.0315 [0.0061, 0.057] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011598 | PGS002092 (portability-ldpred2_728.71) |
PSS007803| African Ancestry| 2,335 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Contracture of palmar fascia [Dupuytren's disease] | — | — | Partial Correlation (partial-r): -0.0255 [-0.0661, 0.0153] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011599 | PGS002092 (portability-ldpred2_728.71) |
PSS008907| African Ancestry| 3,732 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Contracture of palmar fascia [Dupuytren's disease] | — | — | Partial Correlation (partial-r): 0.0031 [-0.0291, 0.0353] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011595 | PGS002092 (portability-ldpred2_728.71) |
PSS008685| European Ancestry| 6,356 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Contracture of palmar fascia [Dupuytren's disease] | — | — | Partial Correlation (partial-r): 0.0817 [0.0572, 0.1061] | 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 | — |
| PPM011616 | PGS002095 (portability-ldpred2_743.1) |
PSS009360| European Ancestry| 19,982 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoporosis | — | — | Partial Correlation (partial-r): 0.0268 [0.013, 0.0407] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011617 | PGS002095 (portability-ldpred2_743.1) |
PSS009134| European Ancestry| 4,130 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoporosis | — | — | Partial Correlation (partial-r): 0.0131 [-0.0174, 0.0437] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011618 | PGS002095 (portability-ldpred2_743.1) |
PSS008688| European Ancestry| 6,657 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoporosis | — | — | Partial Correlation (partial-r): 0.0248 | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011619 | PGS002095 (portability-ldpred2_743.1) |
PSS008462| Greater Middle Eastern Ancestry| 1,199 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoporosis | — | — | Partial Correlation (partial-r): 0.0116 [-0.0455, 0.0687] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011620 | PGS002095 (portability-ldpred2_743.1) |
PSS008242| South Asian Ancestry| 6,327 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoporosis | — | — | Partial Correlation (partial-r): -0.0013 [-0.026, 0.0233] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011621 | PGS002095 (portability-ldpred2_743.1) |
PSS008020| East Asian Ancestry| 1,808 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoporosis | — | — | Partial Correlation (partial-r): 0.0077 [-0.0387, 0.054] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011622 | PGS002095 (portability-ldpred2_743.1) |
PSS007806| African Ancestry| 2,483 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoporosis | — | — | Partial Correlation (partial-r): 0.0261 [-0.0135, 0.0655] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011623 | PGS002095 (portability-ldpred2_743.1) |
PSS008910| African Ancestry| 3,923 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Osteoporosis | — | — | Partial Correlation (partial-r): 0.0012 [-0.0301, 0.0326] | 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 | — |
| 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 | — |
| 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 | — |
| PPM014968 | PGS002768 (BMD_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Osteoporosis | OR: 1.31 [1.25, 1.38] | — | — | 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 | — |
| 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 | — | — | — |
| PPM018760 | PGS003868 (CM_LDpred2_ARB) |
PSS011097| Greater Middle Eastern Ancestry| 2,669 individuals |
PGP000501 | Shim I et al. Nature Communications (2023) |
Reported Trait: Cardiomyopathy | OR: 1.34 [1.13, 1.64] | AUROC: 0.6453 [0.6086, 0.6819] | — | age, sex, array version, and the first 10 principal components of ancestry | — |
| PPM020015 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.33393 [1.28094638, 1.3890998] β: 0.28813 [0.24759916, 0.32865591] |
AUROC: 0.58064 [0.56883718, 0.59243732] | R²: 0.01224 [0.00905012, 0.0158579] | 0 | beta = log(or)/sd_pgs |
| PPM020017 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.37351 [1.09734382, 1.71919027] β: 0.31737 [0.09289255, 0.54185341] |
AUROC: 0.57062 [0.49087135, 0.65037199] | R²: 0.01113 [0.000312, 0.040902] | 0 | beta = log(or)/sd_pgs |
| PPM020018 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.1176 [1.05475987, 1.18418315] β: 0.11118 [0.05331313, 0.16905321] |
AUROC: 0.52923 [0.5116339, 0.54683125] | R²: 0.0019 [0.000371, 0.00466991] | 0 | beta = log(or)/sd_pgs |
| PPM020019 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.82399 [1.59169421, 2.09018269] β: 0.60103 [0.46479899, 0.73725147] |
AUROC: 0.65883 [0.61913538, 0.6985174] | R²: 0.05369 [0.03020613, 0.08591409] | 0 | beta = log(or)/sd_pgs |
| PPM020016 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.50841 [1.47749798, 1.53996605] β: 0.41106 [0.3903501, 0.43176037] |
AUROC: 0.61202 [0.60619063, 0.61785875] | R²: 0.02501 [0.02245787, 0.02749797] | 0 | beta = log(or)/sd_pgs |
| PPM020050 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.32987 [1.28121824, 1.38036919] β: 0.28508 [0.24781138, 0.32235099] |
AUROC: 0.58517 [0.5735, 0.59683621] | R²: 0.01384 [0.01026836, 0.01752212] | 0 | beta = log(or)/sd_pgs |
| PPM020051 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.49732 [1.46602685, 1.52927706] β: 0.40368 [0.38255592, 0.42479511] |
AUROC: 0.60802 [0.60210105, 0.6139434] | R²: 0.02326 [0.02088065, 0.0257906] | 0 | beta = log(or)/sd_pgs |
| PPM020052 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.28607 [1.08009867, 1.53131211] β: 0.25159 [0.0770524, 0.42612496] |
AUROC: 0.59832 [0.52394235, 0.67270553] | R²: 0.01158 [0.00106957, 0.04053787] | 0 | beta = log(or)/sd_pgs |
| PPM020053 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.18691 [1.12316952, 1.25426353] β: 0.17135 [0.11615461, 0.22654857] |
AUROC: 0.55861 [0.54216624, 0.57505125] | R²: 0.00494 [0.00224141, 0.008649] | 0 | beta = log(or)/sd_pgs |
| PPM020054 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.59047 [1.42931885, 1.76979456] β: 0.46403 [0.357198, 0.57086347] |
AUROC: 0.6696 [0.63218416, 0.70702386] | R²: 0.05578 [0.03219308, 0.08912121] | 0 | beta = log(or)/sd_pgs |
| PPM020055 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.46364 [1.40722648, 1.52232499] β: 0.38093 [0.34162073, 0.42023876] |
AUROC: 0.60294 [0.59126234, 0.6146234] | R²: 0.02295 [0.01792423, 0.02800557] | 0 | beta = log(or)/sd_pgs |
| PPM020056 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.61006 [1.57707721, 1.6437293] β: 0.47627 [0.45557327, 0.49696762] |
AUROC: 0.63039 [0.62463626, 0.63613412] | R²: 0.03371 [0.03082787, 0.03667513] | 0 | beta = log(or)/sd_pgs |
| PPM020057 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.91213 [1.49624529, 2.4436175] β: 0.64822 [0.40295883, 0.89347952] |
AUROC: 0.69067 [0.62429924, 0.75703169] | R²: 0.03819 [0.01668401, 0.0690534] | 0 | beta = log(or)/sd_pgs |
| PPM020058 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.4387 [1.3566017, 1.52577159] β: 0.36374 [0.30498282, 0.42250024] |
AUROC: 0.60312 [0.58631707, 0.61991468] | R²: 0.01973 [0.01358075, 0.02702473] | 0 | beta = log(or)/sd_pgs |
| PPM020059 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.11267 [1.86259241, 2.39632917] β: 0.74795 [0.62196928, 0.87393805] |
AUROC: 0.71102 [0.67560891, 0.74643625] | R²: 0.09939 [0.0673612, 0.13982338] | 0 | beta = log(or)/sd_pgs |
| PPM020001 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.63972 [1.60628474, 1.67385776] β: 0.49453 [0.47392389, 0.515131] |
AUROC: 0.6351 [0.62933904, 0.64086446] | R²: 0.0367 [0.03357391, 0.04012387] | 0 | beta = log(or)/sd_pgs |
| PPM020002 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.9896 [1.59472086, 2.48224985] β: 0.68793 [0.46669871, 0.90916534] |
AUROC: 0.70565 [0.63333493, 0.77796963] | R²: 0.05367 [0.02290313, 0.09716264] | 0 | beta = log(or)/sd_pgs |
| PPM020003 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.54092 [1.45306104, 1.63408316] β: 0.43238 [0.37367239, 0.49108189] |
AUROC: 0.61952 [0.60270134, 0.636339] | R²: 0.02797 [0.0211408, 0.03646128] | 0 | beta = log(or)/sd_pgs |
| PPM020004 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.36914 [2.07577111, 2.70396438] β: 0.86253 [0.73033271, 0.99471898] |
AUROC: 0.72826 [0.69173398, 0.76478209] | R²: 0.122 [0.08216417, 0.16529108] | 0 | beta = log(or)/sd_pgs |
| PPM020000 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.55377 [1.4943584, 1.61555387] β: 0.44069 [0.40169695, 0.47967785] |
AUROC: 0.62089 [0.60918562, 0.63258519] | R²: 0.03138 [0.02545406, 0.03718143] | 0 | beta = log(or)/sd_pgs |
| PPM020035 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.52285 [1.46263457, 1.58555171] β: 0.42059 [0.38023931, 0.46093243] |
AUROC: 0.61325 [0.60161044, 0.62487979] | R²: 0.02644 [0.02106118, 0.03159975] | 0 | beta = log(or)/sd_pgs |
| PPM020036 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.6765 [1.64253856, 1.71116433] β: 0.51671 [0.49624295, 0.53717403] |
AUROC: 0.64169 [0.63597003, 0.64740127] | R²: 0.04068 [0.03737711, 0.04388012] | 0 | beta = log(or)/sd_pgs |
| PPM020037 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.16519 [1.63058972, 2.87505923] β: 0.77251 [0.48894174, 1.05607327] |
AUROC: 0.68659 [0.62306752, 0.75011928] | R²: 0.04033 [0.01968338, 0.06955001] | 0 | beta = log(or)/sd_pgs |
| PPM020038 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.52777 [1.44093306, 1.6198353] β: 0.42381 [0.36529086, 0.48232448] |
AUROC: 0.615 [0.59804531, 0.63195557] | R²: 0.02702 [0.01945086, 0.03541182] | 0 | beta = log(or)/sd_pgs |
| PPM020039 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.12896 [1.86473669, 2.4306247] β: 0.75563 [0.62311986, 0.8881483] |
AUROC: 0.71237 [0.67693105, 0.74780668] | R²: 0.09048 [0.06089994, 0.12628899] | 0 | beta = log(or)/sd_pgs |
| PPM020030 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.50199 [1.44431953, 1.56196832] β: 0.40679 [0.36763829, 0.44594677] |
AUROC: 0.60873 [0.59700811, 0.62044991] | R²: 0.02641 [0.02099026, 0.03200156] | 0 | beta = log(or)/sd_pgs |
| PPM020031 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.61696 [1.5839576, 1.65065666] β: 0.48055 [0.45992653, 0.50117319] |
AUROC: 0.63145 [0.62565031, 0.63723984] | R²: 0.03458 [0.03148347, 0.03790002] | 0 | beta = log(or)/sd_pgs |
| PPM020032 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.0218 [1.62249081, 2.51937283] β: 0.70399 [0.48396251, 0.92400999] |
AUROC: 0.71409 [0.65011341, 0.77806995] | R²: 0.05539 [0.02757678, 0.09737164] | 0 | beta = log(or)/sd_pgs |
| PPM020033 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.60515 [1.51334744, 1.70252754] β: 0.47322 [0.41432404, 0.53211394] |
AUROC: 0.63076 [0.61433544, 0.64719353] | R²: 0.03332 [0.02538049, 0.04297958] | 0 | beta = log(or)/sd_pgs |
| PPM020034 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.22137 [1.95736288, 2.5209968] β: 0.79813 [0.6715981, 0.92465438] |
AUROC: 0.71931 [0.68214811, 0.75647815] | R²: 0.11294 [0.0751487, 0.15730633] | 0 | beta = log(or)/sd_pgs |
| PPM020045 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.43309 [1.37789918, 1.49048299] β: 0.35983 [0.32056001, 0.39910022] |
AUROC: 0.60175 [0.58999494, 0.61350437] | R²: 0.01993 [0.01570594, 0.02462764] | 0 | beta = log(or)/sd_pgs |
| PPM020046 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.64768 [1.61352054, 1.68256451] β: 0.49937 [0.47841846, 0.52031912] |
AUROC: 0.63372 [0.62788781, 0.63955506] | R²: 0.03632 [0.03309896, 0.03953108] | 0 | beta = log(or)/sd_pgs |
| PPM020047 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.45841 [1.19873228, 1.77432944] β: 0.37734 [0.18126456, 0.57342257] |
AUROC: 0.60742 [0.53398957, 0.68084175] | R²: 0.01948 [0.00432876, 0.05204534] | 0 | beta = log(or)/sd_pgs |
| PPM020048 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.30074 [1.2314019, 1.37398385] β: 0.26293 [0.20815328, 0.31771444] |
AUROC: 0.58564 [0.56934416, 0.60192786] | R²: 0.01181 [0.00719488, 0.01742899] | 0 | beta = log(or)/sd_pgs |
| PPM020049 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.88898 [1.67167849, 2.13453009] β: 0.63604 [0.5138282, 0.75824653] |
AUROC: 0.69466 [0.65809177, 0.73122596] | R²: 0.07313 [0.04487877, 0.10829372] | 0 | beta = log(or)/sd_pgs |
| PPM020040 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.39977 [1.34410643, 1.45773885] β: 0.33631 [0.29572943, 0.3768865] |
AUROC: 0.5924 [0.58070208, 0.60409508] | R²: 0.01668 [0.01284464, 0.02085219] | 0 | beta = log(or)/sd_pgs |
| PPM020041 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.43354 [1.40427497, 1.46341096] β: 0.36015 [0.33952114, 0.38076998] |
AUROC: 0.60119 [0.59539073, 0.60698337] | R²: 0.01933 [0.01709073, 0.021498] | 0 | beta = log(or)/sd_pgs |
| PPM020042 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.62378 [1.29975822, 2.02858217] β: 0.48476 [0.26217827, 0.70733711] |
AUROC: 0.64719 [0.57521551, 0.71916706] | R²: 0.0251 [0.00821845, 0.05577828] | 0 | beta = log(or)/sd_pgs |
| PPM020043 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.24983 [1.17898128, 1.32493323] β: 0.22301 [0.16465075, 0.28136206] |
AUROC: 0.56468 [0.54783481, 0.58151937] | R²: 0.0075 [0.00402557, 0.01180133] | 0 | beta = log(or)/sd_pgs |
| PPM020044 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.9189 [1.67929657, 2.19269289] β: 0.65175 [0.51837499, 0.78513042] |
AUROC: 0.67899 [0.6419829, 0.71598959] | R²: 0.06493 [0.04215202, 0.09455987] | 0 | beta = log(or)/sd_pgs |
| PPM020005 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.33056 [1.27927587, 1.3839026] β: 0.2856 [0.24629419, 0.32490748] |
AUROC: 0.57951 [0.56779004, 0.5912348] | R²: 0.01289 [0.00942678, 0.01683411] | 0 | beta = log(or)/sd_pgs |
| PPM020006 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.40296 [1.37512281, 1.43135987] β: 0.33858 [0.31854304, 0.35862495] |
AUROC: 0.59425 [0.58836034, 0.60013257] | R²: 0.01808 [0.01603989, 0.02043251] | 0 | beta = log(or)/sd_pgs |
| PPM020007 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.70576 [1.31671088, 2.20977427] β: 0.53401 [0.27513687, 0.79289037] |
AUROC: 0.65379 [0.59209129, 0.71549218] | R²: 0.02382 [0.00843075, 0.05003813] | 0 | beta = log(or)/sd_pgs |
| PPM020008 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.30274 [1.23029942, 1.37944872] β: 0.26447 [0.20725757, 0.32168394] |
AUROC: 0.57047 [0.55330355, 0.58764034] | R²: 0.01098 [0.00635806, 0.01667243] | 0 | beta = log(or)/sd_pgs |
| PPM020009 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.56663 [1.37347647, 1.78694216] β: 0.44893 [0.31734509, 0.58050587] |
AUROC: 0.62337 [0.58200096, 0.66473232] | R²: 0.03261 [0.0140955, 0.05548662] | 0 | beta = log(or)/sd_pgs |
| PPM020010 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.34749 [1.29508225, 1.40201468] β: 0.29824 [0.25857421, 0.33791026] |
AUROC: 0.58105 [0.56930556, 0.59279972] | R²: 0.0138 [0.01033525, 0.01782333] | 0 | beta = log(or)/sd_pgs |
| PPM020011 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.43562 [1.40681814, 1.46501743] β: 0.3616 [0.34133052, 0.38186714] |
AUROC: 0.59988 [0.59403334, 0.60572738] | R²: 0.02017 [0.01796729, 0.0226397] | 0 | beta = log(or)/sd_pgs |
| PPM020012 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.54617 [1.19528898, 2.00006106] β: 0.43578 [0.17838798, 0.69317771] |
AUROC: 0.6263 [0.55995128, 0.69265647] | R²: 0.01611 [0.00346998, 0.03792919] | 0 | beta = log(or)/sd_pgs |
| PPM020013 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.33067 [1.25591817, 1.40986302] β: 0.28568 [0.22786692, 0.34349255] |
AUROC: 0.57616 [0.55915512, 0.59316854] | R²: 0.01255 [0.00747678, 0.01866845] | 0 | beta = log(or)/sd_pgs |
| PPM020014 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.49068 [1.30391606, 1.70419754] β: 0.39923 [0.26537209, 0.53309435] |
AUROC: 0.60812 [0.56762836, 0.64860873] | R²: 0.02494 [0.01039785, 0.04545545] | 0 | beta = log(or)/sd_pgs |
| PPM020020 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.39911 [1.3453147, 1.45504863] β: 0.33583 [0.29662796, 0.37503932] |
AUROC: 0.5916 [0.57985369, 0.6033368] | R²: 0.01793 [0.01361181, 0.02247244] | 0 | beta = log(or)/sd_pgs |
| PPM020021 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.62873 [1.5962079, 1.66190947] β: 0.4878 [0.46763075, 0.50796722] |
AUROC: 0.63399 [0.62818932, 0.6397817] | R²: 0.03731 [0.0341354, 0.04065053] | 0 | beta = log(or)/sd_pgs |
| PPM020022 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.86907 [1.45549233, 2.40017231] β: 0.62544 [0.37534421, 0.87554053] |
AUROC: 0.67317 [0.61055743, 0.73578134] | R²: 0.03526 [0.01406596, 0.06823395] | 0 | beta = log(or)/sd_pgs |
| PPM020023 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.46527 [1.38341272, 1.55196664] β: 0.38204 [0.32455343, 0.43952293] |
AUROC: 0.60487 [0.58809209, 0.62164016] | R²: 0.02273 [0.01613462, 0.03055882] | 0 | beta = log(or)/sd_pgs |
| PPM020024 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.74045 [1.52359433, 1.98817059] β: 0.55414 [0.42107223, 0.68721491] |
AUROC: 0.66211 [0.62585476, 0.69836134] | R²: 0.04857 [0.02861608, 0.07522105] | 0 | beta = log(or)/sd_pgs |
| PPM020025 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.64114 [1.57821035, 1.70658848] β: 0.49539 [0.45629151, 0.53449634] |
AUROC: 0.63353 [0.62188573, 0.645168] | R²: 0.03944 [0.03314538, 0.04625298] | 0 | beta = log(or)/sd_pgs |
| PPM020026 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.75402 [1.71840512, 1.79036854] β: 0.56191 [0.5413966, 0.58242149] |
AUROC: 0.65279 [0.64709296, 0.6584935] | R²: 0.04802 [0.0444714, 0.05161881] | 0 | beta = log(or)/sd_pgs |
| PPM020027 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.39078 [1.89563819, 3.0152594] β: 0.87162 [0.63955556, 1.10368586] |
AUROC: 0.74329 [0.67891271, 0.80767425] | R²: 0.07939 [0.04017912, 0.13128156] | 0 | beta = log(or)/sd_pgs |
| PPM020028 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.6676 [1.57316173, 1.76770414] β: 0.51138 [0.45308744, 0.56968161] |
AUROC: 0.64052 [0.62389168, 0.65713902] | R²: 0.03977 [0.03083288, 0.04944259] | 0 | beta = log(or)/sd_pgs |
| PPM020029 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.46183 [2.16199209, 2.8032592] β: 0.90091 [0.77103006, 1.03078274] |
AUROC: 0.74695 [0.71319269, 0.78070209] | R²: 0.13759 [0.09865689, 0.18374268] | 0 | beta = log(or)/sd_pgs |
| PPM020323 | PGS004255 (GenoBoost_rheumatoid_arthritis_0) |
PSS011342| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66209 | Covariate-adjusted pseudo-R2: 0.01285 AUPRC: 0.04621 |
age, sex, PC1-10 | — |
| PPM020324 | PGS004256 (GenoBoost_rheumatoid_arthritis_1) |
PSS011342| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66212 | Covariate-adjusted pseudo-R2: 0.01305 AUPRC: 0.04649 |
age, sex, PC1-10 | — |
| PPM020325 | PGS004257 (GenoBoost_rheumatoid_arthritis_2) |
PSS011342| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66087 | AUPRC: 0.04561 Covariate-adjusted pseudo-R2: 0.01191 |
age, sex, PC1-10 | — |
| PPM020326 | PGS004258 (GenoBoost_rheumatoid_arthritis_3) |
PSS011342| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.6639 | Covariate-adjusted pseudo-R2: 0.01382 AUPRC: 0.04737 |
age, sex, PC1-10 | — |
| PPM020327 | PGS004259 (GenoBoost_rheumatoid_arthritis_4) |
PSS011342| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66128 | Covariate-adjusted pseudo-R2: 0.01258 AUPRC: 0.04632 |
age, sex, PC1-10 | — |
| 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 | — | — | — | — |
| PPM020595 | PGS004480 (disease.M19.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: M19 (Other arthrosis) | OR: 1.21103 | — | — | — | — |
| PPM020598 | PGS004483 (disease.M25.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: M25 (Other joint disorders, not elsewhere classified) | OR: 1.07361 | — | — | — | — |
| PPM020599 | PGS004484 (disease.M47.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: M47 (Spondylosis) | OR: 1.20173 | — | — | — | — |
| PPM020600 | PGS004485 (disease.M48.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: M48 (Other spondylopathies) | OR: 1.18572 | — | — | — | — |
| PPM020601 | PGS004486 (disease.M51.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: M51 (Other intervertebral disk disorders) | OR: 1.18281 | — | — | — | — |
| PPM020605 | PGS004490 (disease.M81.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: M81 (Osteoporosis without pathological fracture) | OR: 1.17552 | — | — | — | — |
| PPM020610 | PGS004495 (disease.osteoporosis.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Osteoporosis | OR: 1.19793 | — | — | — | — |
| 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 | — | — | — | — |
| PPM020665 | PGS004550 (meta.M19.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: M19 (Other arthrosis) | OR: 1.24824 | — | — | — | — |
| PPM020668 | PGS004553 (meta.M25.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: M25 (Other joint disorders, not elsewhere classified) | OR: 1.11501 | — | — | — | — |
| PPM020669 | PGS004554 (meta.M47.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: M47 (Spondylosis) | OR: 1.23056 | — | — | — | — |
| PPM020670 | PGS004555 (meta.M48.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: M48 (Other spondylopathies) | OR: 1.1791 | — | — | — | — |
| PPM020671 | PGS004556 (meta.M51.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: M51 (Other intervertebral disk disorders) | OR: 1.1419 | — | — | — | — |
| PPM020675 | PGS004560 (meta.M81.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: M81 (Osteoporosis without pathological fracture) | OR: 1.32082 | — | — | — | — |
| PPM020680 | PGS004565 (meta.osteoporosis.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Osteoporosis | OR: 1.32822 | — | — | — | — |
| PPM021034 | PGS004809 (osteoporosis_PRSmix_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Osteoporosis | — | — | 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) |
| PPM021035 | PGS004810 (osteoporosis_PRSmixPlus_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Osteoporosis | — | — | Incremental R2 (Full model versus model with only covariates): 0.022 [0.016, 0.028] | 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) |
| PPM021092 | PGS004861 (hermes.gwama) |
PSS011521| European Ancestry| 347,585 individuals |
PGP000608 | Zheng SL et al. Nat Genet (2024) |
Reported Trait: Dilated cardiomyopathy | OR: 1.56 | AUROC: 0.7 | R²: 0.048 | age, age^2, sex, PC1-10 | — |
| PPM021093 | PGS004862 (hermes.mtag) |
PSS011521| European Ancestry| 347,585 individuals |
PGP000608 | Zheng SL et al. Nat Genet (2024) |
Reported Trait: Dilated cardiomyopathy | OR: 1.76 | AUROC: 0.71 | R²: 0.05 | age, age^2, sex, PC1-10 | — |
| PPM021165 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011635| European Ancestry| 447,332 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 1.87 [1.76, 1.99] | — | — | PCs 1-10 | — |
| PPM021166 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011634| European Ancestry| 37,986 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 2.16 [1.96, 2.37] | C-index: 0.71 [0.68, 0.74] | — | PCs 1-10 | — |
| PPM021167 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011633| European Ancestry| 69,715 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 1.59 [1.49, 1.68] | C-index: 0.64 [0.62, 0.66] | — | PCs 1-10 | — |
| PPM021168 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011632| European Ancestry| 29,427 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 2.27 [1.81, 2.84] | C-index: 0.73 [0.66, 0.8] | — | PCs 1-10 | — |
| PPM021169 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011630| European Ancestry| 44,188 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 2.13 [1.65, 2.75] | — | — | PCs 1-10 | — |
| PPM021170 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011631| European Ancestry| 7,018 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 1.83 [1.14, 2.93] | C-index: 0.85 [0.77, 0.92] | — | PCs 1-10 | — |
| PPM021171 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011629| European Ancestry| 412,090 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 1.65 [1.62, 1.69] | C-index: 0.65 [0.65, 0.66] | — | PCs 1-10 | — |
| PPM021172 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011628| European Ancestry| 199,868 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 1.43 [1.38, 1.49] | C-index: 0.61 [0.6, 0.62] | — | PCs 1-10 | — |
| PPM021231 | PGS004882 (INTERVENE_MegaPRS_Hip_osteoarthritis) |
PSS011593| European Ancestry| 37,024 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident hip osteoarthritis | HR: 1.16 [1.13, 1.2] | C-index: 0.55 [0.54, 0.56] | — | PCs 1-10 | — |
| PPM021232 | PGS004882 (INTERVENE_MegaPRS_Hip_osteoarthritis) |
PSS011592| European Ancestry| 69,715 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident hip osteoarthritis | HR: 1.33 [1.29, 1.37] | C-index: 0.58 [0.57, 0.59] | — | PCs 1-10 | — |
| PPM021233 | PGS004882 (INTERVENE_MegaPRS_Hip_osteoarthritis) |
PSS011591| European Ancestry| 29,427 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident hip osteoarthritis | HR: 1.46 [1.36, 1.56] | C-index: 0.6 [0.58, 0.63] | — | PCs 1-10 | — |
| PPM021234 | PGS004882 (INTERVENE_MegaPRS_Hip_osteoarthritis) |
PSS011589| European Ancestry| 44,188 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident hip osteoarthritis | HR: 1.07 [0.88, 1.31] | — | — | PCs 1-10 | — |
| PPM021235 | PGS004882 (INTERVENE_MegaPRS_Hip_osteoarthritis) |
PSS011590| European Ancestry| 7,018 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident hip osteoarthritis | HR: 1.35 [1.24, 1.48] | C-index: 0.6 [0.57, 0.63] | — | PCs 1-10 | — |
| PPM021236 | PGS004882 (INTERVENE_MegaPRS_Hip_osteoarthritis) |
PSS011588| European Ancestry| 412,090 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident hip osteoarthritis | HR: 1.4 [1.38, 1.42] | C-index: 0.6 [0.6, 0.6] | — | PCs 1-10 | — |
| PPM021237 | PGS004882 (INTERVENE_MegaPRS_Hip_osteoarthritis) |
PSS011587| European Ancestry| 199,868 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident hip osteoarthritis | HR: 1.15 [1.13, 1.16] | C-index: 0.57 [0.56, 0.57] | — | PCs 1-10 | — |
| PPM021238 | PGS004883 (INTERVENE_MegaPRS_Knee_osteoarthritis) |
PSS011600| European Ancestry| 37,245 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident knee osteoarthritis | HR: 1.19 [1.17, 1.22] | C-index: 0.56 [0.55, 0.57] | — | PCs 1-10 | — |
| PPM021239 | PGS004883 (INTERVENE_MegaPRS_Knee_osteoarthritis) |
PSS011599| European Ancestry| 69,715 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident knee osteoarthritis | HR: 1.32 [1.28, 1.35] | C-index: 0.58 [0.57, 0.59] | — | PCs 1-10 | — |
| PPM021240 | PGS004883 (INTERVENE_MegaPRS_Knee_osteoarthritis) |
PSS011598| European Ancestry| 29,427 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident knee osteoarthritis | HR: 1.37 [1.3, 1.44] | C-index: 0.6 [0.58, 0.61] | — | PCs 1-10 | — |
| PPM021241 | PGS004883 (INTERVENE_MegaPRS_Knee_osteoarthritis) |
PSS011596| European Ancestry| 44,188 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident knee osteoarthritis | HR: 1.17 [1.1, 1.24] | — | — | PCs 1-10 | — |
| PPM021242 | PGS004883 (INTERVENE_MegaPRS_Knee_osteoarthritis) |
PSS011597| European Ancestry| 7,018 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident knee osteoarthritis | HR: 1.28 [1.17, 1.39] | C-index: 0.6 [0.57, 0.62] | — | PCs 1-10 | — |
| PPM021243 | PGS004883 (INTERVENE_MegaPRS_Knee_osteoarthritis) |
PSS011595| European Ancestry| 412,090 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident knee osteoarthritis | HR: 1.32 [1.31, 1.34] | C-index: 0.59 [0.58, 0.59] | — | PCs 1-10 | — |
| PPM021244 | PGS004883 (INTERVENE_MegaPRS_Knee_osteoarthritis) |
PSS011594| European Ancestry| 199,868 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident knee osteoarthritis | HR: 1.17 [1.16, 1.18] | C-index: 0.56 [0.56, 0.56] | — | PCs 1-10 | — |
| PPM021366 | PGS004910 (hcm.gwama) |
PSS011704| European Ancestry| 343,182 individuals |
PGP000642 | Zheng SL et al. Nat Genet (2025) |
Reported Trait: Hypertrophic cardiomyopathy | HR: 1.97 OR: 1.26 |
AUROC: 0.73 | R²: 0.031 Odds ratio (OR, high vs median tertile): 5.5 |
age, age^2, sex, PC1-10 | — |
| PPM021367 | PGS004911 (hcm.mtag) |
PSS011704| European Ancestry| 343,182 individuals |
PGP000642 | Zheng SL et al. Nat Genet (2025) |
Reported Trait: Hypertrophic cardiomyopathy | HR: 2.34 OR: 1.33 |
AUROC: 0.8 | R²: 0.048 Odds ratio (OR, high vs median tertile): 5.9 |
age, age^2, sex, PC1-10 | — |
| PPM021753 | PGS004946 (DCM_GWAS_exclMGBB) |
PSS011781| Multi-ancestry (including European)| 96,016 individuals |
PGP000672 | Jurgens SJ et al. Nat Genet (2024) |
Reported Trait: Non-ischemic dilated cardiomyopathy | OR: 1.65762 β: 0.5 (0.04) |
— | Univariate (PRS only) AUPRC: 0.0095 Nagelkerke pseudo-R^2 full model: 0.064 Nagelkerke pseudo-R^2 delta PRS/residual: 0.023 Liability-scale R^2 (assuming 0.4% prev) full model: 0.227 Liability-scale R^2 (assuming 0.4% prev) delta PRS/residual: 0.066 Univariate (PRS only) AUC: 0.65 [0.62, 0.67] |
Age, age^2, sex, PC1-12 | beta represents log(OR) per SD of PRS |
| PPM021754 | PGS004947 (DCM_MTAG_exclMGBB) |
PSS011781| Multi-ancestry (including European)| 96,016 individuals |
PGP000672 | Jurgens SJ et al. Nat Genet (2024) |
Reported Trait: Non-ischemic dilated cardiomyopathy | OR: 1.73 β: 0.55 (0.04) |
— | Nagelkerke pseudo-R^2 full model: 0.068 Nagelkerke pseudo-R^2 delta PRS/residual: 0.028 Liability-scale R^2 (assuming 0.4% prev) full model: 0.235 Liability-scale R^2 (assuming 0.4% prev) delta PRS/residual: 0.076 Univariate (PRS only) AUC: 0.66 [0.63, 0.68] Univariate (PRS only) AUPRC: 0.0109 |
Age, age^2, sex, PC1-12 | beta represents log(OR) per SD of PRS |
| PPM021755 | PGS004948 (DCM_GWAS_exclUKB) |
PSS011782| Multi-ancestry (including European)| 326,106 individuals |
PGP000672 | Jurgens SJ et al. Nat Genet (2024) |
Reported Trait: Non-ischemic dilated cardiomyopathy | OR: 1.64 β: 0.49 (0.04) |
— | Nagelkerke pseudo-R^2 full model: 0.049 Nagelkerke pseudo-R^2 delta PRS/residual: 0.018 Liability-scale R^2 (assuming 0.4% prev) full model: 0.186 Liability-scale R^2 (assuming 0.4% prev) delta PRS/residual: 0.06 Univariate (PRS only) AUC: 0.64 [0.62, 0.66] Univariate (PRS only) AUPRC: 0.0042 |
Age, age^2, sex, array, PC1-12 | beta represents log(OR) per SD of PRS |
| PPM021756 | PGS004949 (DCM_MTAG_exclUKB) |
PSS011782| Multi-ancestry (including European)| 326,106 individuals |
PGP000672 | Jurgens SJ et al. Nat Genet (2024) |
Reported Trait: Non-ischemic dilated cardiomyopathy | OR: 1.91 β: 0.65 (0.04) |
— | Nagelkerke pseudo-R^2 full model: 0.06 Nagelkerke pseudo-R^2 delta PRS/residual: 0.029 Liability-scale R^2 (assuming 0.4% prev) full model: 0.216 Liability-scale R^2 (assuming 0.4% prev) delta PRS/residual: 0.095 Univariate (PRS only) AUC: 0.68 [0.66, 0.69] Univariate (PRS only) AUPRC: 0.0052 |
Age, age^2, sex, array, PC1-12 | beta represents log(OR) per SD of PRS |
| PPM021757 | PGS004950 (DCM_GWAS_exclAUMC) |
PSS011780| European Ancestry| 7,761 individuals |
PGP000672 | Jurgens SJ et al. Nat Genet (2024) |
Reported Trait: Clinical dilated cardiomyopathy | OR: 1.71 β: 0.54 (0.04) |
— | Nagelkerke pseudo-R^2 full model: 0.101 Nagelkerke pseudo-R^2 delta PRS/residual: 0.052 Liability-scale R^2 (assuming 0.4% prev) full model: 0.13 Liability-scale R^2 (assuming 0.4% prev) delta PRS/residual: 0.073 Univariate (PRS only) AUC: 0.64 [0.62, 0.66] Univariate (PRS only) AUPRC: 0.1765 |
Sex, PC1-12 | beta represents log(OR) per SD of PRS |
| PPM021758 | PGS004951 (DCM_MTAG_exclAUMC) |
PSS011780| European Ancestry| 7,761 individuals |
PGP000672 | Jurgens SJ et al. Nat Genet (2024) |
Reported Trait: Clinical dilated cardiomyopathy | OR: 1.93 β: 0.66 (0.04) |
— | Nagelkerke pseudo-R^2 full model: 0.124 Nagelkerke pseudo-R^2 delta PRS/residual: 0.076 Liability-scale R^2 (assuming 0.4% prev) full model: 0.162 Liability-scale R^2 (assuming 0.4% prev) delta PRS/residual: 0.101 Univariate (PRS only) AUC: 0.67 [0.65, 0.69] Univariate (PRS only) AUPRC: 0.2023 |
Sex, PC1-12 | beta represents log(OR) per SD of PRS |
| PPM022366 | PGS005146 (Osteoporosis (PRS-CS; EAS)) |
PSS011922| East Asian Ancestry| 58,611 individuals |
PGP000704 | Jung HU et al. Commun Biol (2025) |
Reported Trait: Osteoporosis | β: 1.09366 | — | — | age, sex | — |
| PPM022375 | PGS005155 (Osteoporosis (PRS-CSx; EAS+EUR)) |
PSS011922| East Asian Ancestry| 58,611 individuals |
PGP000704 | Jung HU et al. Commun Biol (2025) |
Reported Trait: Osteoporosis | β: 1.14434 | — | — | age, sex | — |
| PPM036596 | PGS018416 (PRS_knee) |
PSS012319| European Ancestry| 163,987 individuals |
PGP000833 | Wei Y et al. Clin Nutr (2024) |
Reported Trait: Knee osteoarthritis | — | — | Hazard ratio (HR, high vs low tertile): 1.43 [1.34, 1.53] | age, sex, BMI, education levels, Townsend deprivation index, physical activity, ethnic background, smoking status, drinking status, family history of diseases (hypertension, cardiovascular disease, and diabetes), depression, chondroitin product intake, 10 genetic principal components, genotype measurement batch, healthy dietary score and total energy intake | — |
| PPM036598 | PGS018416 (PRS_knee) |
PSS012319| European Ancestry| 163,987 individuals |
PGP000833 | Wei Y et al. Clin Nutr (2024) |
Reported Trait: Knee osteoarthritis x ultra-processed food (UPF) consumption interaction | — | — | Hazard ratio (HR, high UPF consumption and high PRS vs. low UPF consumption and low PRS): 1.56 [1.37, 1.79] | age, sex, BMI, education levels, Townsend deprivation index, physical activity, ethnic background, smoking status, drinking status, family history of diseases (hypertension, cardiovascular disease, and diabetes), depression, chondroitin product intake, 10 genetic principal components, genotype measurement batch, healthy dietary score and total energy intake | — |
| PPM036595 | PGS018417 (PRS_hip) |
PSS012319| European Ancestry| 163,987 individuals |
PGP000833 | Wei Y et al. Clin Nutr (2024) |
Reported Trait: Hip osteoarthritis | — | — | Hazard ratio (HR, high vs low tertile): 1.76 [1.62, 1.9] | age, sex, BMI, education levels, Townsend deprivation index, physical activity, ethnic background, smoking status, drinking status, family history of diseases (hypertension, cardiovascular disease, and diabetes), depression, chondroitin product intake, 10 genetic principal components, genotype measurement batch, healthy dietary score and total energy intake | — |
| PPM036597 | PGS018417 (PRS_hip) |
PSS012319| European Ancestry| 163,987 individuals |
PGP000833 | Wei Y et al. Clin Nutr (2024) |
Reported Trait: Hip osteoarthritis x ultra-processed food (UPF) consumption interaction | — | — | Hazard ratio (HR, high UPF consumption and high PRS vs. low UPF consumption and low PRS): 1.82 [1.54, 2.15] | age, sex, BMI, education levels, Townsend deprivation index, physical activity, ethnic background, smoking status, drinking status, family history of diseases (hypertension, cardiovascular disease, and diabetes), depression, chondroitin product intake, 10 genetic principal components, genotype measurement batch, healthy dietary score and total energy intake | — |
| PPM036807 | PGS018625 (TPMI_218.1_Lassosum2) |
PSS012523| East Asian Ancestry| 9,417 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Uterine leiomyoma | — | AUROC: 0.83022 | R²: 0.23694 | sex, age, array, PCs 1-10 | — |
| PPM036808 | PGS018626 (TPMI_218.1_LDpred2) |
PSS012522| East Asian Ancestry| 9,417 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Uterine leiomyoma | — | AUROC: 0.83104 | R²: 0.23821 | sex, age, array, PCs 1-10 | — |
| PPM036809 | PGS018627 (TPMI_218.1_MegaPRS) |
PSS012524| East Asian Ancestry| 9,417 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Uterine leiomyoma | — | AUROC: 0.83009 | R²: 0.23677 | sex, age, array, PCs 1-10 | — |
| PPM036810 | PGS018628 (TPMI_218.1_PRS-CS) |
PSS012525| East Asian Ancestry| 9,417 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Uterine leiomyoma | — | AUROC: 0.83054 | R²: 0.23802 | sex, age, array, PCs 1-10 | — |
| PPM036811 | PGS018629 (TPMI_218.1_SBayesR) |
PSS012526| East Asian Ancestry| 9,417 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Uterine leiomyoma | — | AUROC: 0.83004 | R²: 0.23693 | sex, age, array, PCs 1-10 | — |
| PPM036998 | PGS018816 (TPMI_274_Lassosum2) |
PSS012731| East Asian Ancestry| 19,681 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Gout and other crystal arthropathies | — | AUROC: 0.72592 | R²: 0.15189 | sex, age, array, PCs 1-10 | — |
| PPM036999 | PGS018817 (TPMI_274_LDpred2) |
PSS012730| East Asian Ancestry| 19,681 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Gout and other crystal arthropathies | — | AUROC: 0.72801 | R²: 0.15577 | sex, age, array, PCs 1-10 | — |
| PPM037000 | PGS018818 (TPMI_274_MegaPRS) |
PSS012732| East Asian Ancestry| 19,681 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Gout and other crystal arthropathies | — | AUROC: 0.71916 | R²: 0.13938 | sex, age, array, PCs 1-10 | — |
| PPM037001 | PGS018819 (TPMI_274_PRS-CS) |
PSS012733| East Asian Ancestry| 19,681 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Gout and other crystal arthropathies | — | AUROC: 0.72764 | R²: 0.15465 | sex, age, array, PCs 1-10 | — |
| PPM037002 | PGS018820 (TPMI_274_PRSmix+) |
PSS012734| East Asian Ancestry| 19,681 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Gout and other crystal arthropathies | — | AUROC: 0.73221 | R²: 0.1608 | sex, age, array, PCs 1-10 | — |
| PPM037003 | PGS018821 (TPMI_274_SBayesR) |
PSS012735| East Asian Ancestry| 19,681 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Gout and other crystal arthropathies | — | AUROC: 0.72428 | R²: 0.14877 | sex, age, array, PCs 1-10 | — |
| PPM037452 | PGS019270 (TPMI_475_Lassosum2) |
PSS013173| East Asian Ancestry| 16,060 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic sinusitis | — | AUROC: 0.64256 | R²: 0.04727 | sex, age, array, PCs 1-10 | — |
| PPM037453 | PGS019271 (TPMI_475_LDpred2) |
PSS013172| East Asian Ancestry| 16,060 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic sinusitis | — | AUROC: 0.6436 | R²: 0.04727 | sex, age, array, PCs 1-10 | — |
| PPM037454 | PGS019272 (TPMI_475_MegaPRS) |
PSS013174| East Asian Ancestry| 16,060 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic sinusitis | — | AUROC: 0.63977 | R²: 0.0454 | sex, age, array, PCs 1-10 | — |
| PPM037455 | PGS019273 (TPMI_475_PRS-CS) |
PSS013175| East Asian Ancestry| 16,060 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic sinusitis | — | AUROC: 0.64175 | R²: 0.04626 | sex, age, array, PCs 1-10 | — |
| PPM037456 | PGS019274 (TPMI_475_SBayesR) |
PSS013176| East Asian Ancestry| 16,060 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic sinusitis | — | AUROC: 0.64071 | R²: 0.0455 | sex, age, array, PCs 1-10 | — |
| PPM037482 | PGS019300 (TPMI_523_Lassosum2) |
PSS013213| East Asian Ancestry| 18,461 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Gingival and periodontal diseases | — | AUROC: 0.657 | R²: 0.08492 | sex, age, array, PCs 1-10 | — |
| PPM037483 | PGS019301 (TPMI_523_LDpred2) |
PSS013212| East Asian Ancestry| 18,461 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Gingival and periodontal diseases | — | AUROC: 0.6568 | R²: 0.0849 | sex, age, array, PCs 1-10 | — |
| PPM037484 | PGS019302 (TPMI_523_MegaPRS) |
PSS013214| East Asian Ancestry| 18,461 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Gingival and periodontal diseases | — | AUROC: 0.656 | R²: 0.08408 | sex, age, array, PCs 1-10 | — |
| PPM037485 | PGS019303 (TPMI_523_PRS-CS) |
PSS013215| East Asian Ancestry| 18,461 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Gingival and periodontal diseases | — | AUROC: 0.65669 | R²: 0.08483 | sex, age, array, PCs 1-10 | — |
| PPM037486 | PGS019304 (TPMI_523_SBayesR) |
PSS013216| East Asian Ancestry| 18,461 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Gingival and periodontal diseases | — | AUROC: 0.65756 | R²: 0.08524 | sex, age, array, PCs 1-10 | — |
| PPM037487 | PGS019305 (TPMI_523.1_Lassosum2) |
PSS013203| East Asian Ancestry| 17,094 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Gingivitis | — | AUROC: 0.709 | R²: 0.0658 | sex, age, array, PCs 1-10 | — |
| PPM037488 | PGS019306 (TPMI_523.1_LDpred2) |
PSS013202| East Asian Ancestry| 17,094 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Gingivitis | — | AUROC: 0.70895 | R²: 0.06566 | sex, age, array, PCs 1-10 | — |
| PPM037489 | PGS019307 (TPMI_523.1_MegaPRS) |
PSS013204| East Asian Ancestry| 17,094 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Gingivitis | — | AUROC: 0.70904 | R²: 0.06565 | sex, age, array, PCs 1-10 | — |
| PPM037490 | PGS019308 (TPMI_523.1_PRS-CS) |
PSS013205| East Asian Ancestry| 17,094 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Gingivitis | — | AUROC: 0.70898 | R²: 0.06564 | sex, age, array, PCs 1-10 | — |
| PPM037491 | PGS019309 (TPMI_523.1_SBayesR) |
PSS013206| East Asian Ancestry| 17,094 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Gingivitis | — | AUROC: 0.7094 | R²: 0.06585 | sex, age, array, PCs 1-10 | — |
| PPM037492 | PGS019310 (TPMI_523.3_Lassosum2) |
PSS013208| East Asian Ancestry| 18,181 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Periodontitis acute or chronic | — | AUROC: 0.656 | R²: 0.0783 | sex, age, array, PCs 1-10 | — |
| PPM037493 | PGS019311 (TPMI_523.3_LDpred2) |
PSS013207| East Asian Ancestry| 18,181 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Periodontitis acute or chronic | — | AUROC: 0.65561 | R²: 0.07813 | sex, age, array, PCs 1-10 | — |
| PPM037494 | PGS019312 (TPMI_523.3_MegaPRS) |
PSS013209| East Asian Ancestry| 18,181 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Periodontitis acute or chronic | — | AUROC: 0.65536 | R²: 0.07776 | sex, age, array, PCs 1-10 | — |
| PPM037495 | PGS019313 (TPMI_523.3_PRS-CS) |
PSS013210| East Asian Ancestry| 18,181 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Periodontitis acute or chronic | — | AUROC: 0.65564 | R²: 0.0781 | sex, age, array, PCs 1-10 | — |
| PPM037496 | PGS019314 (TPMI_523.3_SBayesR) |
PSS013211| East Asian Ancestry| 18,181 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Periodontitis acute or chronic | — | AUROC: 0.65585 | R²: 0.07835 | sex, age, array, PCs 1-10 | — |
| PPM037502 | PGS019320 (TPMI_526.4_Lassosum2) |
PSS013218| East Asian Ancestry| 16,784 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Temporomandibular joint disorders | — | AUROC: 0.65664 | R²: 0.0097 | sex, age, array, PCs 1-10 | — |
| PPM037503 | PGS019321 (TPMI_526.4_LDpred2) |
PSS013217| East Asian Ancestry| 16,784 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Temporomandibular joint disorders | — | AUROC: 0.66218 | R²: 0.01027 | sex, age, array, PCs 1-10 | — |
| PPM037504 | PGS019322 (TPMI_526.4_MegaPRS) |
PSS013219| East Asian Ancestry| 16,784 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Temporomandibular joint disorders | — | AUROC: 0.65431 | R²: 0.00965 | sex, age, array, PCs 1-10 | — |
| PPM037505 | PGS019323 (TPMI_526.4_PRS-CS) |
PSS013220| East Asian Ancestry| 16,784 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Temporomandibular joint disorders | — | AUROC: 0.66017 | R²: 0.00993 | sex, age, array, PCs 1-10 | — |
| PPM037506 | PGS019324 (TPMI_526.4_SBayesR) |
PSS013221| East Asian Ancestry| 16,784 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Temporomandibular joint disorders | — | AUROC: 0.65615 | R²: 0.00968 | sex, age, array, PCs 1-10 | — |
| PPM037805 | PGS019623 (TPMI_696.42_Lassosum2) |
PSS013514| East Asian Ancestry| 17,217 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.83174 | R²: 0.03895 | sex, age, array, PCs 1-10 | — |
| PPM037806 | PGS019624 (TPMI_696.42_LDpred2) |
PSS013513| East Asian Ancestry| 17,217 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.83711 | R²: 0.04078 | sex, age, array, PCs 1-10 | — |
| PPM037807 | PGS019625 (TPMI_696.42_MegaPRS) |
PSS013515| East Asian Ancestry| 17,217 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.79524 | R²: 0.03003 | sex, age, array, PCs 1-10 | — |
| PPM037808 | PGS019626 (TPMI_696.42_PRS-CS) |
PSS013516| East Asian Ancestry| 17,217 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.83564 | R²: 0.03999 | sex, age, array, PCs 1-10 | — |
| PPM037809 | PGS019627 (TPMI_696.42_PRSmix+) |
PSS013517| East Asian Ancestry| 17,217 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.83983 | R²: 0.03876 | sex, age, array, PCs 1-10 | — |
| PPM037810 | PGS019628 (TPMI_696.42_SBayesR) |
PSS013518| East Asian Ancestry| 17,217 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.81945 | R²: 0.0345 | sex, age, array, PCs 1-10 | — |
| PPM037838 | PGS019656 (TPMI_714_Lassosum2) |
PSS013564| East Asian Ancestry| 19,066 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis and other inflammatory polyarthropathies | — | AUROC: 0.75949 | R²: 0.18539 | sex, age, array, PCs 1-10 | — |
| PPM037839 | PGS019657 (TPMI_714_LDpred2) |
PSS013563| East Asian Ancestry| 19,066 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis and other inflammatory polyarthropathies | — | AUROC: 0.7628 | R²: 0.19137 | sex, age, array, PCs 1-10 | — |
| PPM037840 | PGS019658 (TPMI_714_MegaPRS) |
PSS013565| East Asian Ancestry| 19,066 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis and other inflammatory polyarthropathies | — | AUROC: 0.75343 | R²: 0.1741 | sex, age, array, PCs 1-10 | — |
| PPM037841 | PGS019659 (TPMI_714_PRS-CS) |
PSS013566| East Asian Ancestry| 19,066 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis and other inflammatory polyarthropathies | — | AUROC: 0.76264 | R²: 0.18871 | sex, age, array, PCs 1-10 | — |
| PPM037842 | PGS019660 (TPMI_714_SBayesR) |
PSS013567| East Asian Ancestry| 19,066 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis and other inflammatory polyarthropathies | — | AUROC: 0.75305 | R²: 0.17652 | sex, age, array, PCs 1-10 | — |
| PPM037843 | PGS019661 (TPMI_714.1_Lassosum2) |
PSS013559| East Asian Ancestry| 18,806 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.77575 | R²: 0.1637 | sex, age, array, PCs 1-10 | — |
| PPM037844 | PGS019662 (TPMI_714.1_LDpred2) |
PSS013558| East Asian Ancestry| 18,806 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.78037 | R²: 0.17074 | sex, age, array, PCs 1-10 | — |
| PPM037845 | PGS019663 (TPMI_714.1_MegaPRS) |
PSS013560| East Asian Ancestry| 18,806 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.76224 | R²: 0.14485 | sex, age, array, PCs 1-10 | — |
| PPM037846 | PGS019664 (TPMI_714.1_PRS-CS) |
PSS013561| East Asian Ancestry| 18,806 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.77497 | R²: 0.16025 | sex, age, array, PCs 1-10 | — |
| PPM037847 | PGS019665 (TPMI_714.1_SBayesR) |
PSS013562| East Asian Ancestry| 18,806 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.76827 | R²: 0.15327 | sex, age, array, PCs 1-10 | — |
| PPM037848 | PGS019666 (TPMI_715_Lassosum2) |
PSS013575| East Asian Ancestry| 18,447 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other inflammatory spondylopathies | — | AUROC: 0.77155 | R²: 0.19045 | sex, age, array, PCs 1-10 | — |
| PPM037849 | PGS019667 (TPMI_715_LDpred2) |
PSS013574| East Asian Ancestry| 18,447 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other inflammatory spondylopathies | — | AUROC: 0.77135 | R²: 0.19831 | sex, age, array, PCs 1-10 | — |
| PPM037850 | PGS019668 (TPMI_715_MegaPRS) |
PSS013576| East Asian Ancestry| 18,447 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other inflammatory spondylopathies | — | AUROC: 0.75763 | R²: 0.10413 | sex, age, array, PCs 1-10 | — |
| PPM037851 | PGS019669 (TPMI_715_PRS-CS) |
PSS013577| East Asian Ancestry| 18,447 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other inflammatory spondylopathies | — | AUROC: 0.78205 | R²: 0.21691 | sex, age, array, PCs 1-10 | — |
| PPM037852 | PGS019670 (TPMI_715_SBayesR) |
PSS013578| East Asian Ancestry| 18,447 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other inflammatory spondylopathies | — | AUROC: 0.7758 | R²: 0.16313 | sex, age, array, PCs 1-10 | — |
| PPM037853 | PGS019671 (TPMI_715.2_Lassosum2) |
PSS013569| East Asian Ancestry| 18,296 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.86947 | R²: 0.25284 | sex, age, array, PCs 1-10 | — |
| PPM037854 | PGS019672 (TPMI_715.2_LDpred2) |
PSS013568| East Asian Ancestry| 18,296 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.86298 | R²: 0.23372 | sex, age, array, PCs 1-10 | — |
| PPM037855 | PGS019673 (TPMI_715.2_MegaPRS) |
PSS013570| East Asian Ancestry| 18,296 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.85382 | R²: 0.13327 | sex, age, array, PCs 1-10 | — |
| PPM037856 | PGS019674 (TPMI_715.2_PRS-CS) |
PSS013571| East Asian Ancestry| 18,296 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.86714 | R²: 0.24903 | sex, age, array, PCs 1-10 | — |
| PPM037857 | PGS019675 (TPMI_715.2_PRSmix+) |
PSS013572| East Asian Ancestry| 18,296 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.86288 | R²: 0.2427 | sex, age, array, PCs 1-10 | — |
| PPM037858 | PGS019676 (TPMI_715.2_SBayesR) |
PSS013573| East Asian Ancestry| 18,296 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.86099 | R²: 0.17524 | sex, age, array, PCs 1-10 | — |
| PPM037859 | PGS019677 (TPMI_716_Lassosum2) |
PSS013595| East Asian Ancestry| 18,461 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other arthropathies | — | AUROC: 0.71145 | R²: 0.20211 | sex, age, array, PCs 1-10 | — |
| PPM037860 | PGS019678 (TPMI_716_LDpred2) |
PSS013594| East Asian Ancestry| 18,461 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other arthropathies | — | AUROC: 0.71224 | R²: 0.20316 | sex, age, array, PCs 1-10 | — |
| PPM037861 | PGS019679 (TPMI_716_MegaPRS) |
PSS013596| East Asian Ancestry| 18,461 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other arthropathies | — | AUROC: 0.71079 | R²: 0.2011 | sex, age, array, PCs 1-10 | — |
| PPM037862 | PGS019680 (TPMI_716_PRS-CS) |
PSS013597| East Asian Ancestry| 18,461 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other arthropathies | — | AUROC: 0.7106 | R²: 0.20181 | sex, age, array, PCs 1-10 | — |
| PPM037863 | PGS019681 (TPMI_716_SBayesR) |
PSS013598| East Asian Ancestry| 18,461 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other arthropathies | — | AUROC: 0.71041 | R²: 0.20075 | sex, age, array, PCs 1-10 | — |
| PPM037864 | PGS019682 (TPMI_716.1_Lassosum2) |
PSS013580| East Asian Ancestry| 17,711 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Unspecified polyarthropathy or polyarthritis | — | AUROC: 0.82745 | R²: 0.09598 | sex, age, array, PCs 1-10 | — |
| PPM037865 | PGS019683 (TPMI_716.1_LDpred2) |
PSS013579| East Asian Ancestry| 17,711 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Unspecified polyarthropathy or polyarthritis | — | AUROC: 0.8272 | R²: 0.09573 | sex, age, array, PCs 1-10 | — |
| PPM037866 | PGS019684 (TPMI_716.1_MegaPRS) |
PSS013581| East Asian Ancestry| 17,711 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Unspecified polyarthropathy or polyarthritis | — | AUROC: 0.82667 | R²: 0.09477 | sex, age, array, PCs 1-10 | — |
| PPM037867 | PGS019685 (TPMI_716.1_PRS-CS) |
PSS013582| East Asian Ancestry| 17,711 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Unspecified polyarthropathy or polyarthritis | — | AUROC: 0.82659 | R²: 0.09507 | sex, age, array, PCs 1-10 | — |
| PPM037868 | PGS019686 (TPMI_716.1_SBayesR) |
PSS013583| East Asian Ancestry| 17,711 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Unspecified polyarthropathy or polyarthritis | — | AUROC: 0.82705 | R²: 0.09462 | sex, age, array, PCs 1-10 | — |
| PPM037869 | PGS019687 (TPMI_716.8_Lassosum2) |
PSS013585| East Asian Ancestry| 17,549 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Palindromic rheumatism | — | AUROC: 0.88197 | R²: 0.06193 | sex, age, array, PCs 1-10 | — |
| PPM037870 | PGS019688 (TPMI_716.8_LDpred2) |
PSS013584| East Asian Ancestry| 17,549 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Palindromic rheumatism | — | AUROC: 0.88299 | R²: 0.06265 | sex, age, array, PCs 1-10 | — |
| PPM037871 | PGS019689 (TPMI_716.8_MegaPRS) |
PSS013586| East Asian Ancestry| 17,549 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Palindromic rheumatism | — | AUROC: 0.87892 | R²: 0.06075 | sex, age, array, PCs 1-10 | — |
| PPM037872 | PGS019690 (TPMI_716.8_PRS-CS) |
PSS013587| East Asian Ancestry| 17,549 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Palindromic rheumatism | — | AUROC: 0.88087 | R²: 0.0618 | sex, age, array, PCs 1-10 | — |
| PPM037873 | PGS019691 (TPMI_716.8_SBayesR) |
PSS013588| East Asian Ancestry| 17,549 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Palindromic rheumatism | — | AUROC: 0.87922 | R²: 0.06086 | sex, age, array, PCs 1-10 | — |
| PPM037874 | PGS019692 (TPMI_716.9_Lassosum2) |
PSS013590| East Asian Ancestry| 18,443 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Arthropathy NOS | — | AUROC: 0.70638 | R²: 0.18177 | sex, age, array, PCs 1-10 | — |
| PPM037875 | PGS019693 (TPMI_716.9_LDpred2) |
PSS013589| East Asian Ancestry| 18,443 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Arthropathy NOS | — | AUROC: 0.7058 | R²: 0.18169 | sex, age, array, PCs 1-10 | — |
| PPM037876 | PGS019694 (TPMI_716.9_MegaPRS) |
PSS013591| East Asian Ancestry| 18,443 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Arthropathy NOS | — | AUROC: 0.70522 | R²: 0.18075 | sex, age, array, PCs 1-10 | — |
| PPM037877 | PGS019695 (TPMI_716.9_PRS-CS) |
PSS013592| East Asian Ancestry| 18,443 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Arthropathy NOS | — | AUROC: 0.7058 | R²: 0.18102 | sex, age, array, PCs 1-10 | — |
| PPM037878 | PGS019696 (TPMI_716.9_SBayesR) |
PSS013593| East Asian Ancestry| 18,443 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Arthropathy NOS | — | AUROC: 0.70583 | R²: 0.18053 | sex, age, array, PCs 1-10 | — |
| PPM037904 | PGS019722 (TPMI_743_Lassosum2) |
PSS013630| East Asian Ancestry| 19,713 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Osteoporosis osteopenia and pathological fracture | — | AUROC: 0.70063 | R²: 0.10592 | sex, age, array, PCs 1-10 | — |
| PPM037905 | PGS019723 (TPMI_743_LDpred2) |
PSS013629| East Asian Ancestry| 19,713 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Osteoporosis osteopenia and pathological fracture | — | AUROC: 0.70305 | R²: 0.10869 | sex, age, array, PCs 1-10 | — |
| PPM037906 | PGS019724 (TPMI_743_MegaPRS) |
PSS013631| East Asian Ancestry| 19,713 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Osteoporosis osteopenia and pathological fracture | — | AUROC: 0.70086 | R²: 0.10624 | sex, age, array, PCs 1-10 | — |
| PPM037907 | PGS019725 (TPMI_743_PRS-CS) |
PSS013632| East Asian Ancestry| 19,713 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Osteoporosis osteopenia and pathological fracture | — | AUROC: 0.70309 | R²: 0.10872 | sex, age, array, PCs 1-10 | — |
| PPM037908 | PGS019726 (TPMI_743_SBayesR) |
PSS013633| East Asian Ancestry| 19,713 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Osteoporosis osteopenia and pathological fracture | — | AUROC: 0.70126 | R²: 0.1063 | sex, age, array, PCs 1-10 | — |
| PPM037909 | PGS019727 (TPMI_743.11_Lassosum2) |
PSS013625| East Asian Ancestry| 19,445 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Osteoporosis NOS | — | AUROC: 0.72863 | R²: 0.1006 | sex, age, array, PCs 1-10 | — |
| PPM037910 | PGS019728 (TPMI_743.11_LDpred2) |
PSS013624| East Asian Ancestry| 19,445 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Osteoporosis NOS | — | AUROC: 0.73207 | R²: 0.10412 | sex, age, array, PCs 1-10 | — |
| PPM037911 | PGS019729 (TPMI_743.11_MegaPRS) |
PSS013626| East Asian Ancestry| 19,445 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Osteoporosis NOS | — | AUROC: 0.73031 | R²: 0.10228 | sex, age, array, PCs 1-10 | — |
| PPM037912 | PGS019730 (TPMI_743.11_PRS-CS) |
PSS013627| East Asian Ancestry| 19,445 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Osteoporosis NOS | — | AUROC: 0.73127 | R²: 0.10329 | sex, age, array, PCs 1-10 | — |
| PPM037913 | PGS019731 (TPMI_743.11_SBayesR) |
PSS013628| East Asian Ancestry| 19,445 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Osteoporosis NOS | — | AUROC: 0.7314 | R²: 0.1032 | sex, age, array, PCs 1-10 | — |
| PPM037919 | PGS019737 (TPMI_772_Lassosum2) |
PSS013640| East Asian Ancestry| 19,851 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Symptoms of the muscles | — | AUROC: 0.63604 | R²: 0.01297 | sex, age, array, PCs 1-10 | — |
| PPM037920 | PGS019738 (TPMI_772_LDpred2) |
PSS013639| East Asian Ancestry| 19,851 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Symptoms of the muscles | — | AUROC: 0.63659 | R²: 0.01298 | sex, age, array, PCs 1-10 | — |
| PPM037921 | PGS019739 (TPMI_772_MegaPRS) |
PSS013641| East Asian Ancestry| 19,851 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Symptoms of the muscles | — | AUROC: 0.63706 | R²: 0.01304 | sex, age, array, PCs 1-10 | — |
| PPM037922 | PGS019740 (TPMI_772_PRS-CS) |
PSS013642| East Asian Ancestry| 19,851 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Symptoms of the muscles | — | AUROC: 0.63607 | R²: 0.01296 | sex, age, array, PCs 1-10 | — |
| PPM037923 | PGS019741 (TPMI_772_SBayesR) |
PSS013643| East Asian Ancestry| 19,851 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Symptoms of the muscles | — | AUROC: 0.639 | R²: 0.01322 | sex, age, array, PCs 1-10 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS009280 | — | — | 19,539 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011465 | — | — | 9,462 individuals | — | European | — | AllofUs | — |
| PSS011474 | — | — | 8,837 individuals | — | South Asian | — | G&H | — |
| PSS009352 | — | — | 18,393 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009353 | — | — | 18,262 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009356 | — | — | 18,953 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009357 | — | — | 18,971 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009359 | — | — | 20,000 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009360 | — | — | 19,982 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011521 | — | — | [ ,
45.8 % Male samples |
Mean = 69.8 years | European | — | UKB | — |
| 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 |
| 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 |
| 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 |
| PSS011587 | — | — | [
|
— | European | — | EB | — |
| PSS011588 | — | — | [
|
— | European | — | FinnGen | — |
| PSS011589 | — | — | [
|
— | European | — | G&H | — |
| PSS011590 | — | — | [
|
— | European | — | GS:SFHS | — |
| PSS011591 | — | — | [
|
— | European | — | GEL | — |
| PSS011592 | — | — | [
|
— | European | — | HUNT | — |
| PSS011593 | — | — | [
|
— | European | — | MGBB | — |
| PSS011594 | — | — | [
|
— | European | — | EB | — |
| PSS011595 | — | — | [
|
— | European | — | FinnGen | — |
| PSS011596 | — | — | [
|
— | European | — | G&H | — |
| PSS011597 | — | — | [
|
— | European | — | GS:SFHS | — |
| PSS011598 | — | — | [
|
— | European | — | GEL | — |
| PSS011599 | — | — | [
|
— | European | — | HUNT | — |
| PSS011600 | — | — | [
|
— | European | — | MGBB | — |
| PSS011097 | — | — | 2,669 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) (Arab) |
— | NR | N total after excluding missing values = 2,553 |
| PSS011628 | — | — | [
|
— | European | — | EB | — |
| PSS011629 | — | — | [
|
— | European | — | FinnGen | — |
| PSS011630 | — | — | [
|
— | European | — | G&H | — |
| PSS011631 | — | — | [
|
— | European | — | GS:SFHS | — |
| PSS011632 | — | — | [
|
— | European | — | GEL | — |
| PSS011633 | — | — | [
|
— | European | — | HUNT | — |
| PSS011634 | — | — | [
|
— | European | — | MGBB | — |
| PSS011635 | — | — | [
|
— | European | — | 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 | — |
| PSS011704 | — | — | [
|
— | European | — | UKB | — |
| PSS009591 | — | — | 26,637 individuals, 0.0 % Male samples |
Mean = 67.04 years Sd = 19.14 years |
European (White) |
— | eMERGE | — |
| PSS012522 | 218,D25 | — | [ ,
0.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012523 | 218,D25 | — | [ ,
0.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012524 | 218,D25 | — | [ ,
0.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| 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 |
| PSS012525 | 218,D25 | — | [ ,
0.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012526 | 218,D25 | — | [ ,
0.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS004434 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS007799 | — | — | 2,277 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007802 | — | — | 2,358 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007803 | — | — | 2,335 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007805 | — | — | 2,484 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007806 | — | — | 2,483 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS000908 | Cases were individuals with hypertrophic cardiomyopathy. | — | [
|
— | African unspecified | — | GEL, RBH-CRB | — |
| PSS000908 | Cases were individuals with hypertrophic cardiomyopathy. | — | [
|
— | Other admixed ancestry | Ad Mixed American | GEL, RBH-CRB | — |
| PSS000908 | Cases were individuals with hypertrophic cardiomyopathy. | — | [
|
— | East Asian | — | GEL, RBH-CRB | — |
| PSS000908 | Cases were individuals with hypertrophic cardiomyopathy. | — | [
|
— | European | — | GEL, RBH-CRB | — |
| PSS000908 | Cases were individuals with hypertrophic cardiomyopathy. | — | [
|
— | South Asian | — | GEL, RBH-CRB | — |
| PSS000908 | Cases were individuals with hypertrophic cardiomyopathy. | — | [
|
— | Not reported | — | GEL, RBH-CRB | — |
| PSS000909 | Cases were individuals with hypertrophic cardiomyopathy. | — | [
|
— | African unspecified | — | GEL, RBH-CRB | — |
| PSS000909 | Cases were individuals with hypertrophic cardiomyopathy. | — | [
|
— | Other admixed ancestry | Ad Mixed American | GEL, RBH-CRB | — |
| PSS000909 | Cases were individuals with hypertrophic cardiomyopathy. | — | [
|
— | East Asian | — | GEL, RBH-CRB | — |
| PSS000909 | Cases were individuals with hypertrophic cardiomyopathy. In the individuals recruited from the Netherlands, this was identified using current diagnostic criteria(eft ventricular wall thickness ≥15mm or ≥13mm in presence of family history) | — | [
|
— | European | — | GEL, RBH-CRB | — |
| PSS000909 | Cases were individuals with hypertrophic Cardiomyopathy. | — | [
|
— | South Asian | — | GEL, RBH-CRB | — |
| PSS000909 | Cases were individuals with hypertrophic cardiomyopathy. | — | [
|
— | Not reported | — | GEL, RBH-CRB | — |
| PSS000910 | Cases were individuals with hypertrophic cardiomyopathy. | — | [
|
— | African unspecified | — | GEL, RBH-CRB | — |
| PSS000910 | Cases were individuals with hypertrophic cardiomyopathy. | — | [
|
— | Other admixed ancestry | Ad Mixed American | GEL, RBH-CRB | — |
| PSS000910 | Cases were individuals with hypertrophic cardiomyopathy. | — | [
|
— | East Asian | — | GEL, RBH-CRB | — |
| PSS000910 | Cases were individuals with hypertrophic cardiomyopathy. | — | [
|
— | European | — | GEL, RBH-CRB | — |
| PSS000910 | Cases were individuals with hypertrophic cardiomyopathy. | — | [
|
— | South Asian | — | GEL, RBH-CRB | — |
| PSS000910 | Cases were individuals with hypertrophic cardiomyopathy. | — | [
|
— | Not reported | — | GEL, RBH-CRB | — |
| PSS011781 | ICD10 I42.0; excluding antecedent acute coronary disease and/or revascularization | — | [
|
— | European, Not reported | Mostly European-American | AllofUs | — |
| PSS011782 | ICD10 I42.0; excluding antecedent acute coronary disease and/or revascularization | — | [
|
— | European, Not reported | — | UKB | Please note: UKB samples included in the first 45k MRI tranche were removed from this testing set, since the MTAG data includes GWAS data of cardiac MRI traits from the UKB. |
| PSS011780 | Clinical criteria + imaging | — | [
|
— | European (Dutch) |
— | AUMC_DCM | — |
| PSS012730 | 274, 712,M10, M11.00, M11.01, M11.02, M11.03, M11.04, M11.05, M11.06, M11.07, M11.08, M11.09, M11.1, M11.2, M11.8, M11.9, M1A | — | [ ,
45.75 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012731 | 274, 712,M10, M11.00, M11.01, M11.02, M11.03, M11.04, M11.05, M11.06, M11.07, M11.08, M11.09, M11.1, M11.2, M11.8, M11.9, M1A | — | [ ,
45.75 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012732 | 274, 712,M10, M11.00, M11.01, M11.02, M11.03, M11.04, M11.05, M11.06, M11.07, M11.08, M11.09, M11.1, M11.2, M11.8, M11.9, M1A | — | [ ,
45.75 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012733 | 274, 712,M10, M11.00, M11.01, M11.02, M11.03, M11.04, M11.05, M11.06, M11.07, M11.08, M11.09, M11.1, M11.2, M11.8, M11.9, M1A | — | [ ,
45.75 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012734 | 274, 712,M10, M11.00, M11.01, M11.02, M11.03, M11.04, M11.05, M11.06, M11.07, M11.08, M11.09, M11.1, M11.2, M11.8, M11.9, M1A | — | [ ,
45.75 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012735 | 274, 712,M10, M11.00, M11.01, M11.02, M11.03, M11.04, M11.05, M11.06, M11.07, M11.08, M11.09, M11.1, M11.2, M11.8, M11.9, M1A | — | [ ,
45.75 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS007949 | — | — | 1,787 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008014 | — | — | 1,754 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008017 | — | — | 1,759 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008019 | — | — | 1,810 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008020 | — | — | 1,808 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS011007 | HCM was defined as having an ICD-10 code of I42.1 or I42.2, in addition to a mention of “hypertrophic cardiomyopathy,” “hypertrophic obstructive cardiomyopathy,” “HCM,” or “HOCM” | — | 30,716 individuals, 45.37 % Male samples |
Mean = 57.23 years | European | — | MGBB | — |
| PSS011008 | HCM cases were identified by the presence of International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10), billing code I42.1 (hypertrophic obstructive cardiomyopathy) or I42.2 (other hypertrophic cardiomyopathy) | — | 184,511 individuals, 45.35 % Male samples |
Mean = 56.51 years | European | — | UKB | — |
| 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 | — |
| 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) |
| 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) |
| 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) |
| PSS004233 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004234 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004235 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004236 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004237 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| 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 |
| 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 |
| 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 | — |
| PSS004243 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004244 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004245 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004246 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004247 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008234 | — | — | 5,728 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS000999 | All individuals were carriers of a pathogenic or likely pathogenic variant (MYBPC3 truncating variant, MYBPC3 non-truncating variant, MYH7 variant, MYL2 variant, other genetic variant). Cases included individuals who had experienced a clinical event, defined as: time to septal reduction therapy, cardiac transplantation, sustained ventricular arrhythmia, sudden cardiac death, appropriate ICD therapy or atrial fibrillation/flutter. | — | [
|
— | Not reported | — | ERSPC | — |
| PSS001000 | All individuals were carriers of a pathogenic or likely pathogenic variant (MYBPC3 truncating variant, MYBPC3 non-truncating variant, MYH7 variant, MYL2 variant, other genetic variant). Cases included individuals who had experienced a major ventricular arrhythmia, defined as: time to sustained ventricular arrhythmia, appropriate ICD therapy or sudden cardiac death. | — | [
|
— | Not reported | — | ERSPC | — |
| PSS001001 | All individuals were carriers of a pathogenic or likely pathogenic variant (MYBPC3 truncating variant, MYBPC3 non-truncating variant, MYH7 variant, MYL2 variant, other genetic variant). The primary outcome of maximal left ventricular wall thickness is defined as maxLVWT indexed to body surface area (BSA) on last available CMR or TTE prior to septal reduction therapy and cardiac transplantation. LVWT from CMR used whenever available unless TTE performed more than 5 years after last CMR. | — | 322 individuals | — | Not reported | — | ERSPC | — |
| PSS001002 | All individuals were non-proband carriers of a pathogenic or likely pathogenic variant (MYBPC3 truncating variant, MYBPC3 non-truncating variant, MYH7 variant, MYL2 variant, other genetic variant). Cases included individuals who had experienced a clinical event, defined as: time to septal reduction therapy, cardiac transplantation, sustained ventricular arrhythmia, sudden cardiac death, appropriate ICD therapy or atrial fibrillation/flutter. | — | [
|
— | Not reported | — | ERSPC | — |
| PSS001003 | All individuals were non-proband carriers of a pathogenic or likely pathogenic variant (MYBPC3 truncating variant, MYBPC3 non-truncating variant, MYH7 variant, MYL2 variant, other genetic variant). The primary outcome of maximal left ventricular wall thickness (maxLVWT) is defined as maxLVWT indexed to body surface area (BSA) on last available CMR or TTE prior to septal reduction therapy and cardiac transplantation. LVWT from CMR used whenever available unless TTE performed more than 5 years after last CMR. | — | 194 individuals | — | Not reported | — | ERSPC | — |
| PSS001004 | All individuals were carriers of a pathogenic or likely pathogenic variant (MYBPC3 truncating variant, MYBPC3 non-truncating variant, MYH7 variant, MYL2 variant, other genetic variant). Cases included individuals who had experienced septal reduction therapy, defined as: time to septal myectomy or alcohol septal ablation. | — | [
|
— | Not reported | — | ERSPC | — |
| PSS008235 | — | — | 5,671 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008238 | — | — | 5,964 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008239 | — | — | 5,940 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008241 | — | — | 6,331 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008242 | — | — | 6,327 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011922 | — | — | [
|
— | East Asian (Korean) |
— | HEXA | — |
| 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 |
| 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 | — |
| PSS004329 | — | — | [
|
— | South Asian | — | UKB | — |
| 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 | — |
| PSS004326 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004327 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004328 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| 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 | — |
| PSS004330 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004332 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004333 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009936 | — | — | 1,422 individuals | — | European | — | ASPREE | — |
| PSS009935 | — | — | 1,257 individuals | — | European | — | ASPREE | — |
| PSS013209 | 522.4, 522.6, 523.3, 523.4, 523.5,K04.4, K04.5, K05.2, K05.3, K05.4 | — | [ ,
46.09 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS004369 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004370 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004371 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004372 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004373 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |
| PSS013172 | 473, 784.91,J32, R09.82 | — | [ ,
46.53 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013173 | 473, 784.91,J32, R09.82 | — | [ ,
46.53 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013174 | 473, 784.91,J32, R09.82 | — | [ ,
46.53 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013175 | 473, 784.91,J32, R09.82 | — | [ ,
46.53 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013176 | 473, 784.91,J32, R09.82 | — | [ ,
46.53 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS008384 | — | — | 1,178 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS004432 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS013202 | 523.0, 523.1, 523.2,K05.0, K05.1, K06.0 | — | [ ,
45.75 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013203 | 523.0, 523.1, 523.2,K05.0, K05.1, K06.0 | — | [ ,
45.75 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS004435 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS013204 | 523.0, 523.1, 523.2,K05.0, K05.1, K06.0 | — | [ ,
45.75 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS004436 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS013205 | 523.0, 523.1, 523.2,K05.0, K05.1, K06.0 | — | [ ,
45.75 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013206 | 523.0, 523.1, 523.2,K05.0, K05.1, K06.0 | — | [ ,
45.75 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS004433 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS013210 | 522.4, 522.6, 523.3, 523.4, 523.5,K04.4, K04.5, K05.2, K05.3, K05.4 | — | [ ,
46.09 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013211 | 522.4, 522.6, 523.3, 523.4, 523.5,K04.4, K04.5, K05.2, K05.3, K05.4 | — | [ ,
46.09 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013212 | 522.4, 522.6, 523,K03.6, K04.4, K04.5, K05.0, K05.1, K05.2, K05.3, K05.4, K05.5, K05.6, K06.0, K06.1, K06.2, K06.8, K06.9 | — | [ ,
46.14 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013213 | 522.4, 522.6, 523,K03.6, K04.4, K04.5, K05.0, K05.1, K05.2, K05.3, K05.4, K05.5, K05.6, K06.0, K06.1, K06.2, K06.8, K06.9 | — | [ ,
46.14 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013214 | 522.4, 522.6, 523,K03.6, K04.4, K04.5, K05.0, K05.1, K05.2, K05.3, K05.4, K05.5, K05.6, K06.0, K06.1, K06.2, K06.8, K06.9 | — | [ ,
46.14 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013215 | 522.4, 522.6, 523,K03.6, K04.4, K04.5, K05.0, K05.1, K05.2, K05.3, K05.4, K05.5, K05.6, K06.0, K06.1, K06.2, K06.8, K06.9 | — | [ ,
46.14 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013216 | 522.4, 522.6, 523,K03.6, K04.4, K04.5, K05.0, K05.1, K05.2, K05.3, K05.4, K05.5, K05.6, K06.0, K06.1, K06.2, K06.8, K06.9 | — | [ ,
46.14 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013217 | 524.6,M26.6 | — | [ ,
45.45 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013218 | 524.6,M26.6 | — | [ ,
45.45 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013219 | 524.6,M26.6 | — | [ ,
45.45 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013220 | 524.6,M26.6 | — | [ ,
45.45 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013221 | 524.6,M26.6 | — | [ ,
45.45 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| 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) |
| 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 | — |
| PSS008458 | — | — | 1,137 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008459 | — | — | 1,131 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008461 | — | — | 1,200 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008462 | — | — | 1,199 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | 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) |
| 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 | — |
| PSS008680 | — | — | 6,241 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008681 | — | — | 6,216 individuals | — | European | Italy (South Europe) | 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) |
| PSS008684 | — | — | 6,366 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008685 | — | — | 6,356 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008687 | — | — | 6,660 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008688 | — | — | 6,657 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS013513 | 696.0,L40.5 | — | [ ,
48.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013514 | 696.0,L40.5 | — | [ ,
48.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013515 | 696.0,L40.5 | — | [ ,
48.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS011222 | — | — | [
|
— | European | — | EB | — |
| PSS013516 | 696.0,L40.5 | — | [ ,
48.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013517 | 696.0,L40.5 | — | [ ,
48.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013518 | 696.0,L40.5 | — | [ ,
48.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| 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 |
| PSS011233 | RHEUMA_SEROPOS_OTH, ICD10: M05[8-9], ICD9: 7140A | — | [
|
— | European | — | FinnGen | — |
| PSS011246 | — | — | [
|
— | South Asian | — | G&H | — |
| PSS011262 | — | — | [
|
— | European | — | HUNT | — |
| PSS013558 | 714.0, 714.1, 714.2, 714.81,M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.8, M06.9 | — | [ ,
46.08 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013559 | 714.0, 714.1, 714.2, 714.81,M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.8, M06.9 | — | [ ,
46.08 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013560 | 714.0, 714.1, 714.2, 714.81,M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.8, M06.9 | — | [ ,
46.08 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013561 | 714.0, 714.1, 714.2, 714.81,M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.8, M06.9 | — | [ ,
46.08 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013562 | 714.0, 714.1, 714.2, 714.81,M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.8, M06.9 | — | [ ,
46.08 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013563 | 714,M04.8, M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.4, M06.8, M06.9, M08, M12.0, M13.0 | — | [ ,
45.78 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013564 | 714,M04.8, M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.4, M06.8, M06.9, M08, M12.0, M13.0 | — | [ ,
45.78 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013565 | 714,M04.8, M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.4, M06.8, M06.9, M08, M12.0, M13.0 | — | [ ,
45.78 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013566 | 714,M04.8, M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.4, M06.8, M06.9, M08, M12.0, M13.0 | — | [ ,
45.78 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013567 | 714,M04.8, M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.4, M06.8, M06.9, M08, M12.0, M13.0 | — | [ ,
45.78 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013568 | 720.0,M08.1, M45 | — | [ ,
47.47 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS011275 | — | — | [
|
— | European | — | UKB | — |
| PSS013569 | 720.0,M08.1, M45 | — | [ ,
47.47 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013570 | 720.0,M08.1, M45 | — | [ ,
47.47 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013571 | 720.0,M08.1, M45 | — | [ ,
47.47 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013572 | 720.0,M08.1, M45 | — | [ ,
47.47 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013574 | 720,M08.1, M45, M46, M49 | — | [ ,
47.42 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013575 | 720,M08.1, M45, M46, M49 | — | [ ,
47.42 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013576 | 720,M08.1, M45, M46, M49 | — | [ ,
47.42 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013577 | 720,M08.1, M45, M46, M49 | — | [ ,
47.42 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013578 | 720,M08.1, M45, M46, M49 | — | [ ,
47.42 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013573 | 720.0,M08.1, M45 | — | [ ,
47.47 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013580 | 716.5, | — | [ ,
47.04 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013579 | 716.5, | — | [ ,
47.04 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013581 | 716.5, | — | [ ,
47.04 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013582 | 716.5, | — | [ ,
47.04 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013583 | 716.5, | — | [ ,
47.04 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013585 | 719.3,M12.3, M12.4 | — | [ ,
47.31 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013584 | 719.3,M12.3, M12.4 | — | [ ,
47.31 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013587 | 719.3,M12.3, M12.4 | — | [ ,
47.31 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013588 | 719.3,M12.3, M12.4 | — | [ ,
47.31 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013589 | 716,M02.0, M02.2, M07.60, M07.61, M07.62, M07.63, M07.64, M07.65, M07.66, M07.67, M07.68, M07.69, M12, M25.8 | — | [ ,
46.77 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013590 | 716,M02.0, M02.2, M07.60, M07.61, M07.62, M07.63, M07.64, M07.65, M07.66, M07.67, M07.68, M07.69, M12, M25.8 | — | [ ,
46.77 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013586 | 719.3,M12.3, M12.4 | — | [ ,
47.31 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013591 | 716,M02.0, M02.2, M07.60, M07.61, M07.62, M07.63, M07.64, M07.65, M07.66, M07.67, M07.68, M07.69, M12, M25.8 | — | [ ,
46.77 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013592 | 716,M02.0, M02.2, M07.60, M07.61, M07.62, M07.63, M07.64, M07.65, M07.66, M07.67, M07.68, M07.69, M12, M25.8 | — | [ ,
46.77 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013594 | 716, 719.3,M02.0, M02.2, M07.60, M07.61, M07.62, M07.63, M07.64, M07.65, M07.66, M07.67, M07.68, M07.69, M12, M13.1, M13.8, M25.8 | — | [ ,
46.73 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013595 | 716, 719.3,M02.0, M02.2, M07.60, M07.61, M07.62, M07.63, M07.64, M07.65, M07.66, M07.67, M07.68, M07.69, M12, M13.1, M13.8, M25.8 | — | [ ,
46.73 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013596 | 716, 719.3,M02.0, M02.2, M07.60, M07.61, M07.62, M07.63, M07.64, M07.65, M07.66, M07.67, M07.68, M07.69, M12, M13.1, M13.8, M25.8 | — | [ ,
46.73 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013597 | 716, 719.3,M02.0, M02.2, M07.60, M07.61, M07.62, M07.63, M07.64, M07.65, M07.66, M07.67, M07.68, M07.69, M12, M13.1, M13.8, M25.8 | — | [ ,
46.73 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013598 | 716, 719.3,M02.0, M02.2, M07.60, M07.61, M07.62, M07.63, M07.64, M07.65, M07.66, M07.67, M07.68, M07.69, M12, M13.1, M13.8, M25.8 | — | [ ,
46.73 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013593 | 716,M02.0, M02.2, M07.60, M07.61, M07.62, M07.63, M07.64, M07.65, M07.66, M07.67, M07.68, M07.69, M12, M25.8 | — | [ ,
46.77 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013624 | 733.00,M81 | — | [ ,
46.43 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013625 | 733.00,M81 | — | [ ,
46.43 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013626 | 733.00,M81 | — | [ ,
46.43 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013627 | 733.00,M81 | — | [ ,
46.43 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013628 | 733.00,M81 | — | [ ,
46.43 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013629 | 733, V13.51, V13.52, V54.2,M48.4, M48.5, M80.0, M80.8, M81, M84.3, M84.4, M84.5, M84.6, M84.7, M85.9, M89.9, Z87.310, Z87.311, Z87.312 | — | [ ,
46.23 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013630 | 733, V13.51, V13.52, V54.2,M48.4, M48.5, M80.0, M80.8, M81, M84.3, M84.4, M84.5, M84.6, M84.7, M85.9, M89.9, Z87.310, Z87.311, Z87.312 | — | [ ,
46.23 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013631 | 733, V13.51, V13.52, V54.2,M48.4, M48.5, M80.0, M80.8, M81, M84.3, M84.4, M84.5, M84.6, M84.7, M85.9, M89.9, Z87.310, Z87.311, Z87.312 | — | [ ,
46.23 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013632 | 733, V13.51, V13.52, V54.2,M48.4, M48.5, M80.0, M80.8, M81, M84.3, M84.4, M84.5, M84.6, M84.7, M85.9, M89.9, Z87.310, Z87.311, Z87.312 | — | [ ,
46.23 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013633 | 733, V13.51, V13.52, V54.2,M48.4, M48.5, M80.0, M80.8, M81, M84.3, M84.4, M84.5, M84.6, M84.7, M85.9, M89.9, Z87.310, Z87.311, Z87.312 | — | [ ,
46.23 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013639 | 728.2, 728.85, 728.87, 728.88, 728.89, 728.9, 781.94,M35.4, M62.2, M62.40, M62.41, M62.42, M62.43, M62.44, M62.45, M62.46, M62.47, M62.48, M62.49, M62.5, M62.81, M62.82, M62.83, M62.89, M63, M72.8, M76.3, R29.810 | — | [ ,
46.02 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013640 | 728.2, 728.85, 728.87, 728.88, 728.89, 728.9, 781.94,M35.4, M62.2, M62.40, M62.41, M62.42, M62.43, M62.44, M62.45, M62.46, M62.47, M62.48, M62.49, M62.5, M62.81, M62.82, M62.83, M62.89, M63, M72.8, M76.3, R29.810 | — | [ ,
46.02 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013641 | 728.2, 728.85, 728.87, 728.88, 728.89, 728.9, 781.94,M35.4, M62.2, M62.40, M62.41, M62.42, M62.43, M62.44, M62.45, M62.46, M62.47, M62.48, M62.49, M62.5, M62.81, M62.82, M62.83, M62.89, M63, M72.8, M76.3, R29.810 | — | [ ,
46.02 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013642 | 728.2, 728.85, 728.87, 728.88, 728.89, 728.9, 781.94,M35.4, M62.2, M62.40, M62.41, M62.42, M62.43, M62.44, M62.45, M62.46, M62.47, M62.48, M62.49, M62.5, M62.81, M62.82, M62.83, M62.89, M63, M72.8, M76.3, R29.810 | — | [ ,
46.02 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013643 | 728.2, 728.85, 728.87, 728.88, 728.89, 728.9, 781.94,M35.4, M62.2, M62.40, M62.41, M62.42, M62.43, M62.44, M62.45, M62.46, M62.47, M62.48, M62.49, M62.5, M62.81, M62.82, M62.83, M62.89, M63, M72.8, M76.3, R29.810 | — | [ ,
46.02 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS000490 | Cases included physician-confirmed psoriatic arthritis (PsA). Controls inclded individuals with psoriasis with no history of joint symptoms (psoriasis only - PsO). | — | [
|
— | NR | — | NR | — |
| PSS008903 | — | — | 3,634 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008906 | — | — | 3,779 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008907 | — | — | 3,732 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008909 | — | — | 3,924 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008910 | — | — | 3,923 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS010115 | — | — | [
|
— | East Asian (Taiwanese) |
— | NR | TPMI |
| PSS011342 | — | — | [ ,
46.0 % Male samples |
— | European (White British) |
— | 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 | — |
| PSS012319 | — | — | 163,987 individuals, 45.1 % Male samples |
Mean = 55.5 years Sd = 7.9 years |
European | — | UKB | — |
| PSS013207 | 522.4, 522.6, 523.3, 523.4, 523.5,K04.4, K04.5, K05.2, K05.3, K05.4 | — | [ ,
46.09 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013208 | 522.4, 522.6, 523.3, 523.4, 523.5,K04.4, K04.5, K05.2, K05.3, K05.4 | — | [ ,
46.09 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS009054 | — | — | 4,052 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009126 | — | — | 3,878 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009127 | — | — | 3,854 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009130 | — | — | 3,909 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009131 | — | — | 3,900 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009133 | — | — | 4,136 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009134 | — | — | 4,130 individuals | — | European | Poland (NE Europe) | UKB | — |