Trait: arthritis

Experimental Factor Ontology (EFO) Information
Identifier EFO_0005856
Description An inflammatory process affecting a joint. Causes include infection, autoimmune processes, degenerative processes, and trauma. Signs and symptoms may include swelling around the affected joint and pain. [NCIT: C2883]
Trait category
Other disease
Synonyms 6 synonyms
  • arthritic joint disease
  • arthritides
  • arthritis
  • inflammation of skeletal joint
  • inflammatory disorder of joint
  • skeletal joint inflammation
Mapped terms 12 mapped terms
  • DOID:848
  • ICD10:M13
  • MESH:D001168
  • MONDO:0005578
  • MeSH:D001168
  • MedDRA:10003246
  • NCIT:C2883
  • NCIt:C2883
  • SCTID:3723001
  • SNOMEDCT:3723001
  • UMLS:C0003864
  • Wikipedia:Arthritis
Child trait(s) 14 child traits

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "arthritis" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000114
(GRS-JIA-20)
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Juvenile Idiopathic Arthritis juvenile idiopathic arthritis 26
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000114/ScoringFiles/PGS000114.txt.gz
PGS000194
(G-PROB_Rapos)
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Rheumatoid arthritis (CCP-negative) ACPA-positive rheumatoid arthritis 250
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000194/ScoringFiles/PGS000194.txt.gz
PGS000195
(G-PROB_Raneg)
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Rheumatoid arthritis (CCP-negative) ACPA-negative rheumatoid arthritis 250
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000195/ScoringFiles/PGS000195.txt.gz
PGS000198
(G-PROB_PsA)
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Psoriatic arthritis psoriatic arthritis 250
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000198/ScoringFiles/PGS000198.txt.gz
PGS000199
(G-PROB_Gout)
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Gout gout 250
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000199/ScoringFiles/PGS000199.txt.gz
PGS000324
(GRS-JIA-ERA-20)
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Enthesitis-related Juvenile Idiophatic Arthritis enthesitis-related juvenile idiopathic arthritis 138
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000324/ScoringFiles/PGS000324.txt.gz
PGS000325
(GRS-JIA-Oli-20)
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Oligoarthritis Juvenile Idiophatic Arthritis oligoarticular juvenile idiopathic arthritis 21
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000325/ScoringFiles/PGS000325.txt.gz
PGS000326
(GRS-JIA-RFN-20)
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Rheumatoid-factor-negative Polyarthritis (Juvenile Idiophatic Arthritis) polyarticular juvenile idiopathic arthritis, rheumatoid factor negative 12
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000326/ScoringFiles/PGS000326.txt.gz
PGS000342
(wGRS_PsA)
PGP000111 |
Smith MP et al. J Psoriasis Psoriatic Arthritis (2020)
Psoriatic arthritis psoriatic arthritis 11
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000342/ScoringFiles/PGS000342.txt.gz
PGS000343
(wGRS_PsA_HLA)
PGP000111 |
Smith MP et al. J Psoriasis Psoriatic Arthritis (2020)
Psoriatic arthritis psoriatic arthritis 5
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000343/ScoringFiles/PGS000343.txt.gz
PGS000711
(HC328)
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Gout gout 183,332
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000711/ScoringFiles/PGS000711.txt.gz - Check Terms/Licenses
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
PGS001110
(GBE_HC1209)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reactive arthropathies (time-to-event) reactive arthritis 6
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001110/ScoringFiles/PGS001110.txt.gz
PGS001135
(GBE_HC78)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Arthritis (nos) arthritis 1,028
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001135/ScoringFiles/PGS001135.txt.gz
PGS001192
(GBE_HC1222)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Gonarthrosis [arthrosis of knee] (time-to-event) osteoarthritis, knee 4,525
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001192/ScoringFiles/PGS001192.txt.gz
PGS001248
(GBE_HC328)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Gout gout 880
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001248/ScoringFiles/PGS001248.txt.gz
PGS001249
(GBE_HC1215)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Gout (time-to-event) gout 1,796
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001249/ScoringFiles/PGS001249.txt.gz
PGS001267
(GBE_HC422)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Ankylosing spondylitis ankylosing spondylitis 10
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001267/ScoringFiles/PGS001267.txt.gz
PGS001268
(GBE_HC1242)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Ankylosing spondylitis (time-to-event) ankylosing spondylitis 10
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001268/ScoringFiles/PGS001268.txt.gz
PGS001287
(GBE_HC91)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Psoriatic arthropathy psoriatic arthritis 36
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001287/ScoringFiles/PGS001287.txt.gz
PGS001290
(GBE_HC376)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Osteoarthritis osteoarthritis 579
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001290/ScoringFiles/PGS001290.txt.gz
PGS001309
(GBE_HC1212)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Other rheumatoid arthritis (time-to-event) rheumatoid arthritis 323
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001309/ScoringFiles/PGS001309.txt.gz
PGS001310
(GBE_HC430)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Rheumatoid arthritis rheumatoid arthritis 175
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001310/ScoringFiles/PGS001310.txt.gz
PGS001311
(GBE_HC1211)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Seropositive rheumatoid arthritis (time-to-event) rheumatoid arthritis 3
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001311/ScoringFiles/PGS001311.txt.gz
PGS001789
(1kgeur_gbmi_leaveUKBBout_Gout_pst_eff_a1_b0.5_phiauto)
PGP000262 |
Wang Y et al. Cell Genom (2023)
Gout gout 910,151
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001789/ScoringFiles/PGS001789.txt.gz
PGS001822
(portability-PLR_274.1)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Gout gout 216
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001822/ScoringFiles/PGS001822.txt.gz
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
PGS001882
(portability-PLR_740)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Osteoarthrosis osteoarthritis 11,451
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001882/ScoringFiles/PGS001882.txt.gz
PGS002030
(portability-ldpred2_274.1)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Gout gout 163,210
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002030/ScoringFiles/PGS002030.txt.gz
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
PGS002094
(portability-ldpred2_740)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Osteoarthrosis osteoarthritis 827,887
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002094/ScoringFiles/PGS002094.txt.gz
PGS002260
(PRS_RA)
PGP000286 |
Honda S et al. Arthritis Rheumatol (2022)
Rheumatoid arthritis rheumatoid arthritis 43,784
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002260/ScoringFiles/PGS002260.txt.gz
PGS002307
(PRS33_gout)
PGP000329 |
Zhang Y et al. BMC Med (2022)
Gout gout 33
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002307/ScoringFiles/PGS002307.txt.gz
PGS002728
(PRS_hip)
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Hip osteoarthritis osteoarthritis, hip 44
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002728/ScoringFiles/PGS002728.txt.gz
PGS002729
(PRS_knee)
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Knee osteoarthritis osteoarthritis, knee 24
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002729/ScoringFiles/PGS002729.txt.gz
PGS002745
(metaPGS_RA)
PGP000357 |
Ishigaki K et al. Nat Genet (2022)
Rheumatoid arthritis rheumatoid arthritis 2,575
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002745/ScoringFiles/PGS002745.txt.gz
PGS002749
(PRS10_TKR)
PGP000362 |
Lacaze P et al. Arthritis Rheumatol (2022)
Total knee replacement osteoarthritis, knee,
total knee arthroplasty
10
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002749/ScoringFiles/PGS002749.txt.gz
PGS002750
(PRS37_THR)
PGP000362 |
Lacaze P et al. Arthritis Rheumatol (2022)
Total hip replacement total hip arthroplasty,
osteoarthritis, hip
37
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002750/ScoringFiles/PGS002750.txt.gz
PGS002762
(Urate_prscs)
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Gout gout 1,092,214
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002762/ScoringFiles/PGS002762.txt.gz
PGS002763
(Hip_osteoarthritis_prscs)
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Hip osteoarthritis osteoarthritis, hip 1,052,273
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002763/ScoringFiles/PGS002763.txt.gz
PGS002767
(Knee_osteoarthritis_prscs)
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Knee osteoarthritis osteoarthritis, knee 1,052,275
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002767/ScoringFiles/PGS002767.txt.gz
PGS002769
(Rheumatoid_arthritis_prscs)
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Seropositive rheumatoid arthritis rheumatoid arthritis 1,083,565
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002769/ScoringFiles/PGS002769.txt.gz
PGS003329
(PRS19_gout)
PGP000394 |
Sumpter NA et al. Arthritis Rheumatol (2022)
Gout gout 19
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003329/ScoringFiles/PGS003329.txt.gz
PGS003420
(PRS100_PRScs)
PGP000431 |
Ko CL et al. J Transl Med (2022)
Ankylosing spondylitis ankylosing spondylitis 100
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003420/ScoringFiles/PGS003420.txt.gz
PGS003421
(PRS16_C+T)
PGP000431 |
Ko CL et al. J Transl Med (2022)
Ankylosing spondylitis ankylosing spondylitis 16
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003421/ScoringFiles/PGS003421.txt.gz
PGS003422
(PRS16_PRSice2)
PGP000431 |
Ko CL et al. J Transl Med (2022)
Ankylosing spondylitis ankylosing spondylitis 16
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003422/ScoringFiles/PGS003422.txt.gz
PGS003423
(PRS100_Lassosum)
PGP000431 |
Ko CL et al. J Transl Med (2022)
Ankylosing spondylitis ankylosing spondylitis 100
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003423/ScoringFiles/PGS003423.txt.gz
PGS003424
(PRS100_LDpred2)
PGP000431 |
Ko CL et al. J Transl Med (2022)
Ankylosing spondylitis ankylosing spondylitis 100
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003424/ScoringFiles/PGS003424.txt.gz
PGS003990
(dbslmm.auto.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 1,005,456
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003990/ScoringFiles/PGS003990.txt.gz
PGS003994
(dbslmm.auto.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 778,205
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003994/ScoringFiles/PGS003994.txt.gz
PGS004006
(lassosum.auto.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 19,101
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004006/ScoringFiles/PGS004006.txt.gz
PGS004010
(lassosum.auto.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 27,045
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004010/ScoringFiles/PGS004010.txt.gz
PGS004018
(lassosum.CV.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 100,595
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004018/ScoringFiles/PGS004018.txt.gz
PGS004021
(lassosum.CV.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 315,740
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004021/ScoringFiles/PGS004021.txt.gz
PGS004032
(ldpred2.auto.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 865,644
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004032/ScoringFiles/PGS004032.txt.gz
PGS004047
(ldpred2.CV.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 865,644
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004047/ScoringFiles/PGS004047.txt.gz
PGS004049
(ldpred2.CV.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 373,627
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004049/ScoringFiles/PGS004049.txt.gz
PGS004060
(megaprs.auto.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 677,631
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004060/ScoringFiles/PGS004060.txt.gz
PGS004064
(megaprs.auto.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 402,214
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004064/ScoringFiles/PGS004064.txt.gz
PGS004076
(megaprs.CV.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 677,631
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004076/ScoringFiles/PGS004076.txt.gz
PGS004079
(megaprs.CV.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 402,214
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004079/ScoringFiles/PGS004079.txt.gz
PGS004090
(prscs.auto.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 976,777
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004090/ScoringFiles/PGS004090.txt.gz
PGS004094
(prscs.auto.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 755,048
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004094/ScoringFiles/PGS004094.txt.gz
PGS004103
(prscs.CV.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 755,048
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004103/ScoringFiles/PGS004103.txt.gz
PGS004114
(pt_clump.auto.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 248
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004114/ScoringFiles/PGS004114.txt.gz
PGS004118
(pt_clump.auto.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 91
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004118/ScoringFiles/PGS004118.txt.gz
PGS004130
(pt_clump_nested.CV.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 7,279
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004130/ScoringFiles/PGS004130.txt.gz
PGS004133
(pt_clump_nested.CV.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 155
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004133/ScoringFiles/PGS004133.txt.gz
PGS004144
(sbayesr.auto.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 822,407
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004144/ScoringFiles/PGS004144.txt.gz
PGS004148
(sbayesr.auto.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 671,211
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004148/ScoringFiles/PGS004148.txt.gz
PGS004160
(UKBB_EnsPGS.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 976,174
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004160/ScoringFiles/PGS004160.txt.gz
PGS004163
(UKBB_EnsPGS.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 778,275
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004163/ScoringFiles/PGS004163.txt.gz
PGS004222
(GRS13_gout)
PGP000522 |
Wu Q et al. J Psychosom Res (2023)
Gout gout 13
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004222/ScoringFiles/PGS004222.txt.gz
PGS004326
(PRS154_RA)
PGP000560 |
Zhang J et al. Environ Health Perspect (2023)
Rheumatoid arthritis rheumatoid arthritis 154
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004326/ScoringFiles/PGS004326.txt.gz
PGS004477
(disease.M13.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
M13 (Other arthritis) arthritis 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004477/ScoringFiles/PGS004477.txt.gz
PGS004478
(disease.M16.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
M16 (Coxarthrosis [arthrosis of hip]) osteoarthritis, hip 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004478/ScoringFiles/PGS004478.txt.gz
PGS004479
(disease.M17.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
M17 (Gonarthrosis [arthrosis of knee]) osteoarthritis, knee 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004479/ScoringFiles/PGS004479.txt.gz
PGS004547
(meta.M13.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
M13 (Other arthritis) arthritis 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004547/ScoringFiles/PGS004547.txt.gz
PGS004548
(meta.M16.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
M16 (Coxarthrosis [arthrosis of hip]) osteoarthritis, hip 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004548/ScoringFiles/PGS004548.txt.gz
PGS004549
(meta.M17.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
M17 (Gonarthrosis [arthrosis of knee]) osteoarthritis, knee 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004549/ScoringFiles/PGS004549.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

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)
PPM000581 PGS000198
(G-PROB_PsA)
PSS000313|
European Ancestry|
243 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Psoriatic arthritis diagnosis in patient with arthritis AUROC: 0.62 [0.48, 0.8] (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit)
PPM000575 PGS000198
(G-PROB_PsA)
PSS000312|
European Ancestry|
245 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Psoriatic arthritis diagnosis in patient with arthritis AUROC: 0.71 [0.63, 0.82] (Setting II: Assigning patient diagnoses based on medical records)
PPM000569 PGS000198
(G-PROB_PsA)
PSS000321|
Multi-ancestry (including European)|
1,211 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Psoriatic arthritis diagnosis in patient with arthritis AUROC: 0.61 [0.52, 0.69] (Setting I: Assigning patient diagnoses based on billing codes)
PPM000582 PGS000199
(G-PROB_Gout)
PSS000311|
European Ancestry|
243 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Gout diagnosis in patient with arthritis AUROC: 0.85 [0.8, 0.91] (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit)
PPM000576 PGS000199
(G-PROB_Gout)
PSS000310|
European Ancestry|
245 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Gout diagnosis in patient with arthritis AUROC: 0.82 [0.73, 0.94] (Setting II: Assigning patient diagnoses based on medical records)
PPM000570 PGS000199
(G-PROB_Gout)
PSS000320|
Multi-ancestry (including European)|
1,211 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Gout diagnosis in patient with arthritis AUROC: 0.78 [0.75, 0.8] (Setting I: Assigning patient diagnoses based on billing codes)
PPM000874 PGS000324
(GRS-JIA-ERA-20)
PSS000432|
European Ancestry|
594 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Enthesitis-related Arthritis OR: 3.09 [2.07, 5.04] AUROC: 0.93 [0.86, 0.99] sex, genetic PCs 1-10
PPM000873 PGS000324
(GRS-JIA-ERA-20)
PSS000429|
European Ancestry|
3,020 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Enthesitis-related Arthritis OR: 1.86 [1.61, 2.14] AUROC: 0.75 [0.68, 0.82] sex, genetic PCs 1-10
PPM000867 PGS000324
(GRS-JIA-ERA-20)
PSS000429|
European Ancestry|
3,020 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Enthesitis-related Arthritis OR: 1.84 [1.6, 2.17] AUROC: 0.7 [0.63, 0.77]
PPM000868 PGS000324
(GRS-JIA-ERA-20)
PSS000432|
European Ancestry|
594 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Enthesitis-related Arthritis OR: 2.99 [2.11, 4.54] AUROC: 0.84 [0.71, 0.97]
PPM000875 PGS000325
(GRS-JIA-Oli-20)
PSS000430|
European Ancestry|
3,157 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Oligoarthritis Juvenile Idiophatic Arthritis OR: 1.93 [1.75, 2.13] AUROC: 0.8 [0.77, 0.84] sex, genetic PCs 1-10
PPM000876 PGS000325
(GRS-JIA-Oli-20)
PSS000433|
European Ancestry|
737 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Oligoarthritis Juvenile Idiophatic Arthritis OR: 2.19 [1.81, 2.71] AUROC: 0.79 [0.76, 0.83] sex, genetic PCs 1-10
PPM000869 PGS000325
(GRS-JIA-Oli-20)
PSS000430|
European Ancestry|
3,157 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Oligoarthritis Juvenile Idiophatic Arthritis OR: 1.93 [1.76, 2.11] AUROC: 0.77 [0.73, 0.8]
PPM000870 PGS000325
(GRS-JIA-Oli-20)
PSS000433|
European Ancestry|
737 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Oligoarthritis Juvenile Idiophatic Arthritis OR: 2.24 [1.88, 2.71] AUROC: 0.74 [0.7, 0.79]
PPM000878 PGS000326
(GRS-JIA-RFN-20)
PSS000434|
European Ancestry|
653 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Rheumatoid-factor-negative Polyarthritis OR: 1.71 [1.42, 2.07] AUROC: 0.74 [0.68, 0.8] sex, genetic PCs 1-10
PPM000872 PGS000326
(GRS-JIA-RFN-20)
PSS000434|
European Ancestry|
653 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Rheumatoid-factor-negative Polyarthritis OR: 1.69 [1.42, 2.02] AUROC: 0.66 [0.59, 0.73]
PPM000877 PGS000326
(GRS-JIA-RFN-20)
PSS000431|
European Ancestry|
3,089 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Rheumatoid-factor-negative Polyarthritis OR: 1.51 [1.35, 1.68] AUROC: 0.76 [0.72, 0.8] sex, genetic PCs 1-10
PPM000871 PGS000326
(GRS-JIA-RFN-20)
PSS000431|
European Ancestry|
3,089 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Rheumatoid-factor-negative Polyarthritis OR: 1.48 [1.33, 1.64] AUROC: 0.64 [0.59, 0.69]
PPM000971 PGS000342
(wGRS_PsA)
PSS000490|
Ancestry Not Reported|
543 individuals
PGP000111 |
Smith MP et al. J Psoriasis Psoriatic Arthritis (2020)
Reported Trait: Psoriatic arthritis AUROC: 0.562 [0.506, 0.618]
PPM000972 PGS000343
(wGRS_PsA_HLA)
PSS000490|
Ancestry Not Reported|
543 individuals
PGP000111 |
Smith MP et al. J Psoriasis Psoriatic Arthritis (2020)
Reported Trait: Psoriatic arthritis AUROC: 0.569 [0.513, 0.625]
PPM001603 PGS000711
(HC328)
PSS000815|
European Ancestry|
87,413 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Gout AUROC: 0.7107 Age, sex, PCs(1-10)
PPM001616 PGS000711
(HC328)
PSS000816|
European Ancestry|
135,300 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Gout HR: 1.58 [1.51, 1.65] C-index: 0.673 Age as time scale, sex, batch, PCs(1-10)
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] : 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] : 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] : 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] : 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] : 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
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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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
: 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] : 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] : 0.04312
Incremental AUROC (full-covars): 0.0104
PGS R2 (no covariates): 0.0068
PGS AUROC (no covariates): 0.55655 [0.54824, 0.56485]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008749 PGS001248
(GBE_HC328)
PSS004452|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Gout AUROC: 0.8285 [0.79138, 0.86562] : 0.15624
Incremental AUROC (full-covars): 0.01741
PGS R2 (no covariates): 0.02051
PGS AUROC (no covariates): 0.62118 [0.56505, 0.67731]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008750 PGS001248
(GBE_HC328)
PSS004453|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Gout AUROC: 0.84973 [0.79458, 0.90489] : 0.22864
Incremental AUROC (full-covars): 0.02603
PGS R2 (no covariates): 0.04315
PGS AUROC (no covariates): 0.65938 [0.56975, 0.74901]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008751 PGS001248
(GBE_HC328)
PSS004454|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Gout AUROC: 0.83619 [0.82126, 0.85113] : 0.17414
Incremental AUROC (full-covars): 0.02904
PGS R2 (no covariates): 0.03561
PGS AUROC (no covariates): 0.66092 [0.63744, 0.6844]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008752 PGS001248
(GBE_HC328)
PSS004455|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Gout AUROC: 0.77913 [0.74649, 0.81177] : 0.11671
Incremental AUROC (full-covars): 0.03258
PGS R2 (no covariates): 0.0283
PGS AUROC (no covariates): 0.63533 [0.59256, 0.6781]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008753 PGS001248
(GBE_HC328)
PSS004456|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Gout AUROC: 0.81572 [0.80628, 0.82516] Incremental AUROC (full-covars): 0.04061
PGS R2 (no covariates): 0.04014
: 0.15436
PGS AUROC (no covariates): 0.66908 [0.65556, 0.6826]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008754 PGS001249
(GBE_HC1215)
PSS004203|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE gout AUROC: 0.77537 [0.73576, 0.81498] : 0.12063
Incremental AUROC (full-covars): 0.01433
PGS R2 (no covariates): 0.01201
PGS AUROC (no covariates): 0.58952 [0.54447, 0.63458]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008755 PGS001249
(GBE_HC1215)
PSS004204|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE gout AUROC: 0.8503 [0.79897, 0.90164] : 0.23863
Incremental AUROC (full-covars): 0.01971
PGS R2 (no covariates): 0.02733
PGS AUROC (no covariates): 0.62617 [0.54055, 0.7118]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008756 PGS001249
(GBE_HC1215)
PSS004205|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE gout AUROC: 0.81772 [0.80388, 0.83156] : 0.17135
Incremental AUROC (full-covars): 0.02929
PGS R2 (no covariates): 0.03724
PGS AUROC (no covariates): 0.65807 [0.63913, 0.67702]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008757 PGS001249
(GBE_HC1215)
PSS004206|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE gout AUROC: 0.76492 [0.73884, 0.79099] PGS AUROC (no covariates): 0.61344 [0.57941, 0.64746]
: 0.11928
Incremental AUROC (full-covars): 0.02377
PGS R2 (no covariates): 0.02209
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008758 PGS001249
(GBE_HC1215)
PSS004207|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE gout AUROC: 0.79258 [0.7842, 0.80095] : 0.14867
Incremental AUROC (full-covars): 0.03784
PGS R2 (no covariates): 0.03919
PGS AUROC (no covariates): 0.65389 [0.64293, 0.66484]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008840 PGS001267
(GBE_HC422)
PSS004486|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ankylosing spondylitis AUROC: 0.86744 [0.75569, 0.97918] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 0.115
Incremental AUROC (full-covars): 0.12686
PGS R2 (no covariates): 0.10232
PGS AUROC (no covariates): 0.7346 [0.69884, 0.77037]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008933 PGS001287
(GBE_HC91)
PSS004706|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Psoriatic arthropathy AUROC: 0.98006 [0.94602, 1.0] Incremental AUROC (full-covars): 0.00516
: 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 0.05309
Incremental AUROC (full-covars): 0.09202
PGS R2 (no covariates): 0.04612
PGS AUROC (no covariates): 0.7072 [0.65945, 0.75495]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009309 PGS001789
(1kgeur_gbmi_leaveUKBBout_Gout_pst_eff_a1_b0.5_phiauto)
PSS007699|
African Ancestry|
6,206 individuals
PGP000262 |
Wang Y et al. Cell Genom (2023)
Reported Trait: Gout AUROC: 0.805 Nagelkerke's R2 (covariates regressed out): 0.01073 sex,age,age2,age*sex,age^2*sex, 20PCs
PPM009293 PGS001789
(1kgeur_gbmi_leaveUKBBout_Gout_pst_eff_a1_b0.5_phiauto)
PSS007712|
European Ancestry|
359,345 individuals
PGP000262 |
Wang Y et al. Cell Genom (2023)
Reported Trait: Gout AUROC: 0.807 Nagelkerke's R2 (covariates regressed out): 0.03121 sex,age,age2,age*sex,age^2*sex, 20PCs
PPM009304 PGS001789
(1kgeur_gbmi_leaveUKBBout_Gout_pst_eff_a1_b0.5_phiauto)
PSS007703|
Additional Asian Ancestries|
8,184 individuals
PGP000262 |
Wang Y et al. Cell Genom (2023)
Reported Trait: Gout AUROC: 0.78 Nagelkerke's R2 (covariates regressed out): 0.00748 sex,age,age2,age*sex,age^2*sex, 20PCs
PPM009476 PGS001822
(portability-PLR_274.1)
PSS009292|
European Ancestry|
19,983 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0364 [0.0226, 0.0503] sex, age, birth date, deprivation index, 16 PCs
PPM009477 PGS001822
(portability-PLR_274.1)
PSS009066|
European Ancestry|
4,135 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.043 [0.0125, 0.0735] sex, age, birth date, deprivation index, 16 PCs
PPM009478 PGS001822
(portability-PLR_274.1)
PSS008620|
European Ancestry|
6,655 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0538 [0.0297, 0.0777] sex, age, birth date, deprivation index, 16 PCs
PPM009479 PGS001822
(portability-PLR_274.1)
PSS008396|
Greater Middle Eastern Ancestry|
1,200 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0122 [-0.0449, 0.0692] sex, age, birth date, deprivation index, 16 PCs
PPM009480 PGS001822
(portability-PLR_274.1)
PSS008174|
South Asian Ancestry|
6,325 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0166 [-0.008, 0.0413] sex, age, birth date, deprivation index, 16 PCs
PPM009481 PGS001822
(portability-PLR_274.1)
PSS007961|
East Asian Ancestry|
1,810 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0287 [-0.0176, 0.075] sex, age, birth date, deprivation index, 16 PCs
PPM009482 PGS001822
(portability-PLR_274.1)
PSS007742|
African Ancestry|
2,480 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0314 [-0.0082, 0.0708] sex, age, birth date, deprivation index, 16 PCs
PPM009483 PGS001822
(portability-PLR_274.1)
PSS008845|
African Ancestry|
3,918 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0294 [-0.002, 0.0607] sex, age, birth date, deprivation index, 16 PCs
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
PPM009940 PGS001882
(portability-PLR_740)
PSS009359|
European Ancestry|
20,000 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Osteoarthrosis Partial Correlation (partial-r): 0.0409 [0.027, 0.0547] sex, age, birth date, deprivation index, 16 PCs
PPM009941 PGS001882
(portability-PLR_740)
PSS009133|
European Ancestry|
4,136 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Osteoarthrosis Partial Correlation (partial-r): 0.0415 [0.0109, 0.0719] sex, age, birth date, deprivation index, 16 PCs
PPM009942 PGS001882
(portability-PLR_740)
PSS008687|
European Ancestry|
6,660 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Osteoarthrosis Partial Correlation (partial-r): 0.0357 [0.0117, 0.0597] sex, age, birth date, deprivation index, 16 PCs
PPM009943 PGS001882
(portability-PLR_740)
PSS008461|
Greater Middle Eastern Ancestry|
1,200 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Osteoarthrosis Partial Correlation (partial-r): 0.0326 [-0.0246, 0.0895] sex, age, birth date, deprivation index, 16 PCs
PPM009944 PGS001882
(portability-PLR_740)
PSS008241|
South Asian Ancestry|
6,331 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Osteoarthrosis Partial Correlation (partial-r): 0.0211 [-0.0036, 0.0457] sex, age, birth date, deprivation index, 16 PCs
PPM009945 PGS001882
(portability-PLR_740)
PSS008019|
East Asian Ancestry|
1,810 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Osteoarthrosis Partial Correlation (partial-r): 0.0051 [-0.0412, 0.0514] sex, age, birth date, deprivation index, 16 PCs
PPM009946 PGS001882
(portability-PLR_740)
PSS007805|
African Ancestry|
2,484 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Osteoarthrosis Partial Correlation (partial-r): 0.0312 [-0.0083, 0.0706] sex, age, birth date, deprivation index, 16 PCs
PPM009947 PGS001882
(portability-PLR_740)
PSS008909|
African Ancestry|
3,924 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Osteoarthrosis Partial Correlation (partial-r): 0.0103 [-0.0211, 0.0417] sex, age, birth date, deprivation index, 16 PCs
PPM011116 PGS002030
(portability-ldpred2_274.1)
PSS008620|
European Ancestry|
6,655 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0476 [0.0236, 0.0716] sex, age, birth date, deprivation index, 16 PCs
PPM011114 PGS002030
(portability-ldpred2_274.1)
PSS009292|
European Ancestry|
19,983 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0415 [0.0277, 0.0554] sex, age, birth date, deprivation index, 16 PCs
PPM011115 PGS002030
(portability-ldpred2_274.1)
PSS009066|
European Ancestry|
4,135 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.047 [0.0165, 0.0775] sex, age, birth date, deprivation index, 16 PCs
PPM011117 PGS002030
(portability-ldpred2_274.1)
PSS008396|
Greater Middle Eastern Ancestry|
1,200 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): -0.0053 [-0.0623, 0.0518] sex, age, birth date, deprivation index, 16 PCs
PPM011118 PGS002030
(portability-ldpred2_274.1)
PSS008174|
South Asian Ancestry|
6,325 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0231 [-0.0015, 0.0478] sex, age, birth date, deprivation index, 16 PCs
PPM011119 PGS002030
(portability-ldpred2_274.1)
PSS007961|
East Asian Ancestry|
1,810 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0262 [-0.0201, 0.0725] sex, age, birth date, deprivation index, 16 PCs
PPM011120 PGS002030
(portability-ldpred2_274.1)
PSS007742|
African Ancestry|
2,480 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0336 [-0.006, 0.073] sex, age, birth date, deprivation index, 16 PCs
PPM011121 PGS002030
(portability-ldpred2_274.1)
PSS008845|
African Ancestry|
3,918 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0254 [-0.006, 0.0568] sex, age, birth date, deprivation index, 16 PCs
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
PPM011608 PGS002094
(portability-ldpred2_740)
PSS009359|
European Ancestry|
20,000 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Osteoarthrosis Partial Correlation (partial-r): 0.0535 [0.0397, 0.0673] sex, age, birth date, deprivation index, 16 PCs
PPM011609 PGS002094
(portability-ldpred2_740)
PSS009133|
European Ancestry|
4,136 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Osteoarthrosis Partial Correlation (partial-r): 0.0612 [0.0307, 0.0916] sex, age, birth date, deprivation index, 16 PCs
PPM011610 PGS002094
(portability-ldpred2_740)
PSS008687|
European Ancestry|
6,660 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Osteoarthrosis Partial Correlation (partial-r): 0.0544 [0.0304, 0.0783] sex, age, birth date, deprivation index, 16 PCs
PPM011611 PGS002094
(portability-ldpred2_740)
PSS008461|
Greater Middle Eastern Ancestry|
1,200 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Osteoarthrosis Partial Correlation (partial-r): 0.025 [-0.0321, 0.082] sex, age, birth date, deprivation index, 16 PCs
PPM011612 PGS002094
(portability-ldpred2_740)
PSS008241|
South Asian Ancestry|
6,331 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Osteoarthrosis Partial Correlation (partial-r): 0.0394 [0.0148, 0.064] sex, age, birth date, deprivation index, 16 PCs
PPM011613 PGS002094
(portability-ldpred2_740)
PSS008019|
East Asian Ancestry|
1,810 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Osteoarthrosis Partial Correlation (partial-r): -0.0056 [-0.052, 0.0407] sex, age, birth date, deprivation index, 16 PCs
PPM011614 PGS002094
(portability-ldpred2_740)
PSS007805|
African Ancestry|
2,484 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Osteoarthrosis Partial Correlation (partial-r): 0.0412 [0.0017, 0.0806] sex, age, birth date, deprivation index, 16 PCs
PPM011615 PGS002094
(portability-ldpred2_740)
PSS008909|
African Ancestry|
3,924 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Osteoarthrosis Partial Correlation (partial-r): 0.022 [-0.0094, 0.0534] sex, age, birth date, deprivation index, 16 PCs
PPM012870 PGS002260
(PRS_RA)
PSS009586|
East Asian Ancestry|
740 individuals
PGP000286 |
Honda S et al. Arthritis Rheumatol (2022)
Reported Trait: Severe radiographic progression in patients with rheumatoid arthritis OR (top vs 2nd quintile): 1.87 [1.11, 3.15]
PPM012871 PGS002260
(PRS_RA)
PSS009586|
East Asian Ancestry|
740 individuals
PGP000286 |
Honda S et al. Arthritis Rheumatol (2022)
Reported Trait: Severe radiographic progression in patients with rheumatoid arthritis (age of onset <40 years) OR (top vs 2nd quintile): 6.29 [1.85, 21.4]
PPM012872 PGS002260
(PRS_RA)
PSS009586|
East Asian Ancestry|
740 individuals
PGP000286 |
Honda S et al. Arthritis Rheumatol (2022)
Reported Trait: Severe radiographic progression in patients with rheumatoid arthritis OR: 1.3 [1.13, 1.5] Age of onset, sex, ever-smoker, ACPAs positivity, rheumatoid factor positivity, BMI, periodontitis, use of methotrexate, use of bDMARD, HLA-DRB1 (Ser11)
PPM013045 PGS002307
(PRS33_gout)
PSS009665|
European Ancestry|
416,481 individuals
PGP000329 |
Zhang Y et al. BMC Med (2022)
Reported Trait: Incident gout Hazard Ratio (HR, highest vs. lowest tertile): 1.77 [1.66, 1.89] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI)
PPM013046 PGS002307
(PRS33_gout)
PSS009665|
European Ancestry|
416,481 individuals
PGP000329 |
Zhang Y et al. BMC Med (2022)
Reported Trait: Incident gout without cardiometabolic diseases Hazard Ratio (HR, highest vs. lowest tertile): 4.94 [3.91, 6.23] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), Unfavorable lifestyle
PPM013047 PGS002307
(PRS33_gout)
PSS009665|
European Ancestry|
416,481 individuals
PGP000329 |
Zhang Y et al. BMC Med (2022)
Reported Trait: Incident gout with cardiometabolic diseases Hazard Ratio (HR, highest vs. lowest tertile): 3.0 [2.62, 3.43] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), Unfavorable lifestyle
PPM013048 PGS002307
(PRS33_gout)
PSS009665|
European Ancestry|
416,481 individuals
PGP000329 |
Zhang Y et al. BMC Med (2022)
Reported Trait: Incident gout Hazard Ratio (HR, middle vs. lowest tertile): 1.53 [1.35, 1.74] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), favorable lifestyle
PPM013049 PGS002307
(PRS33_gout)
PSS009665|
European Ancestry|
416,481 individuals
PGP000329 |
Zhang Y et al. BMC Med (2022)
Reported Trait: Incident gout Hazard Ratio (HR, middle vs. lowest tertile): 2.39 [2.12, 2.7] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), unfavorable lifestyle
PPM013050 PGS002307
(PRS33_gout)
PSS009665|
European Ancestry|
416,481 individuals
PGP000329 |
Zhang Y et al. BMC Med (2022)
Reported Trait: Incident gout Hazard Ratio (HR, highest vs. lowest tertile): 1.98 [1.75, 2.24] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), favorable lifestyle
PPM013044 PGS002307
(PRS33_gout)
PSS009665|
European Ancestry|
416,481 individuals
PGP000329 |
Zhang Y et al. BMC Med (2022)
Reported Trait: Incident gout Hazard Ratio (HR, middle vs. lowest tertile): 1.44 [1.35, 1.54] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI)
PPM013051 PGS002307
(PRS33_gout)
PSS009665|
European Ancestry|
416,481 individuals
PGP000329 |
Zhang Y et al. BMC Med (2022)
Reported Trait: Incident gout Hazard Ratio (HR, highest vs. lowest tertile): 3.13 [2.79, 3.52] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), unfavorable lifestyle
PPM020291 PGS002307
(PRS33_gout)
PSS011325|
European Ancestry|
181,559 individuals
PGP000540 |
Zhang T et al. Rheumatology (Oxford) (2023)
|Ext.
Reported Trait: Incident gout with ultraprocessed food consumption Hazard ratio (HR, high UPF consumption and highest PRS quartile vs. low UPF consumption and lowest PRS quartile): 1.9 [1.39, 2.6] age, sex, BMI, education levels, Townsend deprivation index, physical activity, smoking status, drinking status, family history of diseases (hypertension, cardiovascular disease, and diabetes), healthy diet score, ultra-processed food consumption, medical history of hypertension, diabetes, kidney disease, cancer, and cardiovascular disease, first ten genetic principal components and genotype measurement batch
PPM014781 PGS002728
(PRS_hip)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Incident severe radiographic osteoarthritis OR: 1.33 [1.12, 1.59]
PPM014756 PGS002728
(PRS_hip)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Prevalent radiographic osteoarthritis OR: 1.19 [1.1, 1.28]
PPM014757 PGS002728
(PRS_hip)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Incident radiographic osteoarthritis OR: 1.15 [1.05, 1.26]
PPM014758 PGS002728
(PRS_hip)
PSS009889|
European Ancestry|
1,002 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Prevalent radiographic osteoarthritis OR: 1.28 [0.98, 1.65]
PPM014759 PGS002728
(PRS_hip)
PSS009889|
European Ancestry|
1,002 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Incident radiographic osteoarthritis OR: 0.95 [0.82, 1.11]
PPM014766 PGS002728
(PRS_hip)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Prevalent clinical osteoarthritis OR: 1.3 [1.15, 1.46]
PPM014767 PGS002728
(PRS_hip)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Incident clinical osteoarthritis OR: 1.22 [0.98, 1.51]
PPM014768 PGS002728
(PRS_hip)
PSS009889|
European Ancestry|
1,002 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Incident clinical osteoarthritis OR: 0.92 [0.74, 1.14]
PPM014773 PGS002728
(PRS_hip)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Prevalent total hip replacement OR: 1.26 [1.12, 1.41]
PPM014774 PGS002728
(PRS_hip)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Incident total hip replacement OR: 1.28 [1.11, 1.48]
PPM014775 PGS002728
(PRS_hip)
PSS009889|
European Ancestry|
1,002 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Incident total hip replacement OR: 1.09 [0.79, 1.47]
PPM014779 PGS002728
(PRS_hip)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Radiographic osteoarthritis progression OR: 1.18 [1.09, 1.28]
PPM014783 PGS002728
(PRS_hip)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Radiographic osteoarthritis AUROC: 0.59 [0.56, 0.61] Age, sex
PPM014784 PGS002728
(PRS_hip)
PSS009889|
European Ancestry|
1,002 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Radiographic osteoarthritis AUROC: 0.62 [0.58, 0.65] Age, sex
PPM014785 PGS002728
(PRS_hip)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Clinical osteoarthritis AUROC: 0.62 [0.56, 0.68] Age, sex
PPM014786 PGS002728
(PRS_hip)
PSS009889|
European Ancestry|
1,002 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Clinical osteoarthritis AUROC: 0.53 [0.47, 0.59] Age, sex
PPM014787 PGS002728
(PRS_hip)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Total hip replacement AUROC: 0.66 [0.62, 0.70] Age, sex
PPM014788 PGS002728
(PRS_hip)
PSS009889|
European Ancestry|
1,002 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Total hip replacement AUROC: 0.64 [0.55, 0.73] Age, sex
PPM014760 PGS002729
(PRS_knee)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Prevalent radiographic osteoarthritis OR: 1.17 [1.1, 1.24]
PPM014771 PGS002729
(PRS_knee)
PSS009889|
European Ancestry|
1,002 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Incident clinical osteoarthritis OR: 1.26 [1.05, 1.52]
PPM014793 PGS002729
(PRS_knee)
PSS009889|
European Ancestry|
1,002 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Clinical osteoarthritis AUROC: 0.6 [0.55, 0.65] Age, sex, BMI
PPM014761 PGS002729
(PRS_knee)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Incident radiographic osteoarthritis OR: 1.15 [1.06, 1.24]
PPM014762 PGS002729
(PRS_knee)
PSS009889|
European Ancestry|
1,002 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Prevalent radiographic osteoarthritis OR: 1.27 [0.96, 1.68]
PPM014763 PGS002729
(PRS_knee)
PSS009889|
European Ancestry|
1,002 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Incident radiographic osteoarthritis OR: 1.09 [0.93, 1.29]
PPM014764 PGS002729
(PRS_knee)
PSS009890|
European Ancestry|
407 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Prevalent radiographic osteoarthritis OR: 1.02 [0.69, 1.53]
PPM014765 PGS002729
(PRS_knee)
PSS009890|
European Ancestry|
407 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Incident radiographic osteoarthritis OR: 1.04 [0.75, 1.45]
PPM014769 PGS002729
(PRS_knee)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Prevalent clinical osteoarthritis OR: 1.23 [1.12, 1.34]
PPM014770 PGS002729
(PRS_knee)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Incident clinical osteoarthritis OR: 1.13 [0.94, 1.37]
PPM014772 PGS002729
(PRS_knee)
PSS009890|
European Ancestry|
407 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Incident clinical osteoarthritis OR: 1.17 [0.8, 1.73]
PPM014776 PGS002729
(PRS_knee)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Prevalent total knee replacement OR: 1.3 [0.99, 1.71]
PPM014777 PGS002729
(PRS_knee)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Incident total knee replacement OR: 1.56 [1.27, 1.91]
PPM014778 PGS002729
(PRS_knee)
PSS009889|
European Ancestry|
1,002 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Incident total knee replacement OR: 1.16 [0.65, 2.17]
PPM014780 PGS002729
(PRS_knee)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Radiographic osteoarthritis progression OR: 1.18 [1.11, 1.25]
PPM014782 PGS002729
(PRS_knee)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Incident severe radiographic osteoarthritis OR: 1.3 [1.04, 1.63]
PPM014789 PGS002729
(PRS_knee)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Radiographic osteoarthritis AUROC: 0.6 [0.58, 0.63] Age, sex, BMI
PPM014790 PGS002729
(PRS_knee)
PSS009889|
European Ancestry|
1,002 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Radiographic osteoarthritis AUROC: 0.57 [0.53, 0.62] Age, sex, BMI
PPM014791 PGS002729
(PRS_knee)
PSS009890|
European Ancestry|
407 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Radiographic osteoarthritis AUROC: 0.53 [0.44, 0.63] Age, BMI
PPM014792 PGS002729
(PRS_knee)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Clinical osteoarthritis AUROC: 0.66 [0.61, 0.71] Age, sex, BMI
PPM014794 PGS002729
(PRS_knee)
PSS009890|
European Ancestry|
407 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Clinical osteoarthritis AUROC: 0.52 [0.41, 0.63] Age, BMI
PPM014795 PGS002729
(PRS_knee)
PSS009891|
European Ancestry|
14,926 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Total hip replacement AUROC: 0.66 [0.61, 0.71] Age, sex, BMI
PPM014796 PGS002729
(PRS_knee)
PSS009889|
European Ancestry|
1,002 individuals
PGP000336 |
Sedaghati-Khayat B et al. Arthritis Rheumatol (2022)
Reported Trait: Total hip replacement AUROC: 0.65 [0.49, 0.82] Age, sex, BMI
PPM014915 PGS002745
(metaPGS_RA)
PSS009927|
Multi-ancestry (including European)|
7,460 individuals
PGP000357 |
Ishigaki K et al. Nat Genet (2022)
Reported Trait: Rheumatoid arthritis AUROC: 0.65 Liability R2: 0.054 Sex, Genotype PCs Performance metrics are the mean values across eave-one-cohort-out cross-validation folds
PPM014916 PGS002745
(metaPGS_RA)
PSS009930|
European Ancestry|
3,887 individuals
PGP000357 |
Ishigaki K et al. Nat Genet (2022)
Reported Trait: Rheumatoid arthritis AUROC: 0.66 Liability R2: 0.059 Sex, Genotype PCs Performance metrics are the mean values across eave-one-cohort-out cross-validation folds
PPM014917 PGS002745
(metaPGS_RA)
PSS009929|
East Asian Ancestry|
21,704 individuals
PGP000357 |
Ishigaki K et al. Nat Genet (2022)
Reported Trait: Rheumatoid arthritis AUROC: 0.66 Liability R2: 0.057 Sex, Genotype PCs Performance metrics are the mean values across eave-one-cohort-out cross-validation folds
PPM014918 PGS002745
(metaPGS_RA)
PSS009928|
Multi-ancestry (excluding European)|
1,304 individuals
PGP000357 |
Ishigaki K et al. Nat Genet (2022)
Reported Trait: Rheumatoid arthritis AUROC: 0.59 Liability R2: 0.018 Sex, Genotype PCs Performance metrics are the mean values across eave-one-cohort-out cross-validation folds
PPM014939 PGS002749
(PRS10_TKR)
PSS009936|
European Ancestry|
1,422 individuals
PGP000362 |
Lacaze P et al. Arthritis Rheumatol (2022)
Reported Trait: Knee replacement OR: 1.13 [1.07, 1.2] Age, sex, body mass index, education, and index of relative socioeconomic advantage and disadvantage
PPM014940 PGS002750
(PRS37_THR)
PSS009935|
European Ancestry|
1,257 individuals
PGP000362 |
Lacaze P et al. Arthritis Rheumatol (2022)
Reported Trait: Hip replacement OR: 1.23 [1.16, 1.3] Age, sex, body mass index, education, and index of relative socioeconomic advantage and disadvantage
PPM014941 PGS002750
(PRS37_THR)
PSS009935|
European Ancestry|
1,257 individuals
PGP000362 |
Lacaze P et al. Arthritis Rheumatol (2022)
Reported Trait: Hip replacement in men OR: 1.15 [1.06, 1.26] Age, body mass index, education, and index of relative socioeconomic advantage and disadvantage
PPM014942 PGS002750
(PRS37_THR)
PSS009935|
European Ancestry|
1,257 individuals
PGP000362 |
Lacaze P et al. Arthritis Rheumatol (2022)
Reported Trait: Hip replacement in women OR: 1.3 [1.2, 1.4] Age, body mass index, education, and index of relative socioeconomic advantage and disadvantage
PPM014962 PGS002762
(Urate_prscs)
PSS009939|
European Ancestry|
39,444 individuals
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Reported Trait: Gout OR: 1.69 [1.6, 1.78] age, sex, 10 PCs, technical covariates
PPM014963 PGS002763
(Hip_osteoarthritis_prscs)
PSS009939|
European Ancestry|
39,444 individuals
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Reported Trait: Hip osteoarthritis OR: 1.38 [1.31, 1.46] age, sex, 10 PCs, technical covariates
PPM014967 PGS002767
(Knee_osteoarthritis_prscs)
PSS009939|
European Ancestry|
39,444 individuals
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Reported Trait: Knee osteoarthritis OR: 1.35 [1.3, 1.4] age, sex, 10 PCs, technical covariates
PPM014969 PGS002769
(Rheumatoid_arthritis_prscs)
PSS009939|
European Ancestry|
39,444 individuals
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Reported Trait: Seropositive rheumatoid arthritis OR: 1.72 [1.61, 1.83] age, sex, 10 PCs, technical covariates
PPM016117 PGS003329
(PRS19_gout)
PSS010039|
European Ancestry|
5,522 individuals
PGP000394 |
Sumpter NA et al. Arthritis Rheumatol (2022)
Reported Trait: Age at onset of gout (in men) β: -3.61 [-4.32, -2.9] 10 Global PCs
PPM016120 PGS003329
(PRS19_gout)
PSS010039|
European Ancestry|
5,522 individuals
PGP000394 |
Sumpter NA et al. Arthritis Rheumatol (2022)
Reported Trait: Tophaceous Disease (in men) β: 1.15 [1.0, 1.31] 10 Global PCs
PPM016123 PGS003329
(PRS19_gout)
PSS010039|
European Ancestry|
5,522 individuals
PGP000394 |
Sumpter NA et al. Arthritis Rheumatol (2022)
Reported Trait: Age at onset of gout (in women) β: 0.07 [-2.32, 2.45] 10 Global PCs
PPM016126 PGS003329
(PRS19_gout)
PSS010039|
European Ancestry|
5,522 individuals
PGP000394 |
Sumpter NA et al. Arthritis Rheumatol (2022)
Reported Trait: Tophaceous Disease (in women) β: 0.68 [0.42, 1.1] 10 Global PCs
PPM016119 PGS003329
(PRS19_gout)
PSS010040|
Additional Diverse Ancestries|
869 individuals
PGP000394 |
Sumpter NA et al. Arthritis Rheumatol (2022)
Reported Trait: Age at onset of gout (in men) β: -3.51 [-5.46, -1.57] 10 Global PCs + 10 Oceanian PCs
PPM016121 PGS003329
(PRS19_gout)
PSS010038|
Additional Diverse Ancestries|
1,386 individuals
PGP000394 |
Sumpter NA et al. Arthritis Rheumatol (2022)
Reported Trait: Tophaceous Disease (in men) β: 2.6 [1.66, 4.06] 10 Global PCs + 10 Oceanian PCs
PPM016122 PGS003329
(PRS19_gout)
PSS010040|
Additional Diverse Ancestries|
869 individuals
PGP000394 |
Sumpter NA et al. Arthritis Rheumatol (2022)
Reported Trait: Tophaceous Disease (in men) β: 1.53 [1.07, 2.19] 10 Global PCs + 10 Oceanian PCs
PPM016124 PGS003329
(PRS19_gout)
PSS010038|
Additional Diverse Ancestries|
1,386 individuals
PGP000394 |
Sumpter NA et al. Arthritis Rheumatol (2022)
Reported Trait: Age at onset of gout (in women) β: 0.2 [-7.21, 7.62] 10 Global PCs + 10 Oceanian PCs
PPM016125 PGS003329
(PRS19_gout)
PSS010040|
Additional Diverse Ancestries|
869 individuals
PGP000394 |
Sumpter NA et al. Arthritis Rheumatol (2022)
Reported Trait: Age at onset of gout (in women) β: -3.33 [-9.28, 2.62] 10 Global PCs + 10 Oceanian PCs
PPM016127 PGS003329
(PRS19_gout)
PSS010038|
Additional Diverse Ancestries|
1,386 individuals
PGP000394 |
Sumpter NA et al. Arthritis Rheumatol (2022)
Reported Trait: Tophaceous Disease (in women) β: 1.45 [0.39, 5.36] 10 Global PCs + 10 Oceanian PCs
PPM016118 PGS003329
(PRS19_gout)
PSS010038|
Additional Diverse Ancestries|
1,386 individuals
PGP000394 |
Sumpter NA et al. Arthritis Rheumatol (2022)
Reported Trait: Age at onset of gout (in men) β: -6.35 [-8.91, -3.8] 10 Global PCs + 10 Oceanian PCs
PPM017073 PGS003420
(PRS100_PRScs)
PSS010115|
East Asian Ancestry|
1,298 individuals
PGP000431 |
Ko CL et al. J Transl Med (2022)
Reported Trait: Ankylosing spondylitis AUROC: 0.7886
PPM017074 PGS003421
(PRS16_C+T)
PSS010115|
East Asian Ancestry|
1,298 individuals
PGP000431 |
Ko CL et al. J Transl Med (2022)
Reported Trait: Ankylosing spondylitis AUROC: 0.7876
PPM017075 PGS003422
(PRS16_PRSice2)
PSS010115|
East Asian Ancestry|
1,298 individuals
PGP000431 |
Ko CL et al. J Transl Med (2022)
Reported Trait: Ankylosing spondylitis AUROC: 0.7876
PPM017076 PGS003423
(PRS100_Lassosum)
PSS010115|
East Asian Ancestry|
1,298 individuals
PGP000431 |
Ko CL et al. J Transl Med (2022)
Reported Trait: Ankylosing spondylitis AUROC: 0.7754
PPM017077 PGS003424
(PRS100_LDpred2)
PSS010115|
East Asian Ancestry|
1,298 individuals
PGP000431 |
Ko CL et al. J Transl Med (2022)
Reported Trait: Ankylosing spondylitis AUROC: 0.7605
PPM019838 PGS003990
(dbslmm.auto.GCST008972.Gout)
PSS011217|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.50745
β: 0.41042
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019839 PGS003990
(dbslmm.auto.GCST008972.Gout)
PSS011229|
European Ancestry|
257,781 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.59028
β: 0.46391
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019841 PGS003990
(dbslmm.auto.GCST008972.Gout)
PSS011240|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.63718
β: 0.49298
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019842 PGS003990
(dbslmm.auto.GCST008972.Gout)
PSS011256|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.67929
β: 0.51837
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019844 PGS003990
(dbslmm.auto.GCST008972.Gout)
PSS011284|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.46542
β: 0.38214
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019846 PGS003990
(dbslmm.auto.GCST008972.Gout)
PSS011270|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.88159
β: 0.63211
AUROC: 0.67 0 beta = log(or)/sd_pgs
PPM020015 PGS003994
(dbslmm.auto.GCST90013534.RA)
PSS011222|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.33393
β: 0.28813
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM020017 PGS003994
(dbslmm.auto.GCST90013534.RA)
PSS011246|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.37351
β: 0.31737
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM020018 PGS003994
(dbslmm.auto.GCST90013534.RA)
PSS011262|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.1176
β: 0.11118
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM020019 PGS003994
(dbslmm.auto.GCST90013534.RA)
PSS011275|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.82399
β: 0.60103
AUROC: 0.66 0 beta = log(or)/sd_pgs
PPM020016 PGS003994
(dbslmm.auto.GCST90013534.RA)
PSS011233|
European Ancestry|
388,890 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.50841
β: 0.41106
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019901 PGS004006
(lassosum.auto.GCST008972.Gout)
PSS011217|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.49846
β: 0.40444
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019902 PGS004006
(lassosum.auto.GCST008972.Gout)
PSS011229|
European Ancestry|
257,781 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.5767
β: 0.45534
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019904 PGS004006
(lassosum.auto.GCST008972.Gout)
PSS011240|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.75393
β: 0.56186
AUROC: 0.66 0 beta = log(or)/sd_pgs
PPM019905 PGS004006
(lassosum.auto.GCST008972.Gout)
PSS011256|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.67964
β: 0.51858
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019907 PGS004006
(lassosum.auto.GCST008972.Gout)
PSS011284|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.48465
β: 0.39518
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019909 PGS004006
(lassosum.auto.GCST008972.Gout)
PSS011270|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.89517
β: 0.63931
AUROC: 0.67 0 beta = log(or)/sd_pgs
PPM020050 PGS004010
(lassosum.auto.GCST90013534.RA)
PSS011222|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.32987
β: 0.28508
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM020051 PGS004010
(lassosum.auto.GCST90013534.RA)
PSS011233|
European Ancestry|
388,890 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.49732
β: 0.40368
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM020052 PGS004010
(lassosum.auto.GCST90013534.RA)
PSS011246|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.28607
β: 0.25159
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM020053 PGS004010
(lassosum.auto.GCST90013534.RA)
PSS011262|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.18691
β: 0.17135
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM020054 PGS004010
(lassosum.auto.GCST90013534.RA)
PSS011275|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.59047
β: 0.46403
AUROC: 0.67 0 beta = log(or)/sd_pgs
PPM019912 PGS004018
(lassosum.CV.GCST008972.Gout)
PSS011240|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.79341
β: 0.58412
AUROC: 0.66 0 beta = log(or)/sd_pgs
PPM019910 PGS004018
(lassosum.CV.GCST008972.Gout)
PSS011217|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.53836
β: 0.43072
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019911 PGS004018
(lassosum.CV.GCST008972.Gout)
PSS011229|
European Ancestry|
257,781 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.63119
β: 0.48931
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019913 PGS004018
(lassosum.CV.GCST008972.Gout)
PSS011256|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.68276
β: 0.52044
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019914 PGS004018
(lassosum.CV.GCST008972.Gout)
PSS011284|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.54257
β: 0.43345
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019915 PGS004018
(lassosum.CV.GCST008972.Gout)
PSS011270|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.92725
β: 0.6561
AUROC: 0.68 0 beta = log(or)/sd_pgs
PPM020055 PGS004021
(lassosum.CV.GCST90013534.RA)
PSS011222|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.46364
β: 0.38093
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM020056 PGS004021
(lassosum.CV.GCST90013534.RA)
PSS011233|
European Ancestry|
388,890 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.61006
β: 0.47627
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM020057 PGS004021
(lassosum.CV.GCST90013534.RA)
PSS011246|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.91213
β: 0.64822
AUROC: 0.69 0 beta = log(or)/sd_pgs
PPM020058 PGS004021
(lassosum.CV.GCST90013534.RA)
PSS011262|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.4387
β: 0.36374
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM020059 PGS004021
(lassosum.CV.GCST90013534.RA)
PSS011275|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 2.11267
β: 0.74795
AUROC: 0.71 0 beta = log(or)/sd_pgs
PPM019865 PGS004032
(ldpred2.auto.GCST008972.Gout)
PSS011217|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.47805
β: 0.39072
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019866 PGS004032
(ldpred2.auto.GCST008972.Gout)
PSS011229|
European Ancestry|
257,781 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.53483
β: 0.42842
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019868 PGS004032
(ldpred2.auto.GCST008972.Gout)
PSS011240|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.58389
β: 0.45989
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019869 PGS004032
(ldpred2.auto.GCST008972.Gout)
PSS011256|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.63475
β: 0.49149
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019871 PGS004032
(ldpred2.auto.GCST008972.Gout)
PSS011284|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.38725
β: 0.32733
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019873 PGS004032
(ldpred2.auto.GCST008972.Gout)
PSS011270|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.91462
β: 0.64952
AUROC: 0.68 0 beta = log(or)/sd_pgs
PPM019811 PGS004047
(ldpred2.CV.GCST008972.Gout)
PSS011217|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.57029
β: 0.45126
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019812 PGS004047
(ldpred2.CV.GCST008972.Gout)
PSS011229|
European Ancestry|
257,781 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.65592
β: 0.50435
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019814 PGS004047
(ldpred2.CV.GCST008972.Gout)
PSS011240|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.81978
β: 0.59872
AUROC: 0.66 0 beta = log(or)/sd_pgs
PPM019815 PGS004047
(ldpred2.CV.GCST008972.Gout)
PSS011256|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.73092
β: 0.54865
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019817 PGS004047
(ldpred2.CV.GCST008972.Gout)
PSS011284|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.57863
β: 0.45655
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019819 PGS004047
(ldpred2.CV.GCST008972.Gout)
PSS011270|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.99932
β: 0.69281
AUROC: 0.69 0 beta = log(or)/sd_pgs
PPM020001 PGS004049
(ldpred2.CV.GCST90013534.RA)
PSS011233|
European Ancestry|
388,890 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.63972
β: 0.49453
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM020002 PGS004049
(ldpred2.CV.GCST90013534.RA)
PSS011246|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.9896
β: 0.68793
AUROC: 0.71 0 beta = log(or)/sd_pgs
PPM020003 PGS004049
(ldpred2.CV.GCST90013534.RA)
PSS011262|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.54092
β: 0.43238
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM020004 PGS004049
(ldpred2.CV.GCST90013534.RA)
PSS011275|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 2.36914
β: 0.86253
AUROC: 0.73 0 beta = log(or)/sd_pgs
PPM020000 PGS004049
(ldpred2.CV.GCST90013534.RA)
PSS011222|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.55377
β: 0.44069
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019880 PGS004060
(megaprs.auto.GCST008972.Gout)
PSS011217|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.53017
β: 0.42538
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019881 PGS004060
(megaprs.auto.GCST008972.Gout)
PSS011229|
European Ancestry|
257,781 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.6092
β: 0.47574
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019883 PGS004060
(megaprs.auto.GCST008972.Gout)
PSS011240|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.8073
β: 0.59183
AUROC: 0.66 0 beta = log(or)/sd_pgs
PPM019884 PGS004060
(megaprs.auto.GCST008972.Gout)
PSS011256|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.64854
β: 0.49989
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019886 PGS004060
(megaprs.auto.GCST008972.Gout)
PSS011284|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.59359
β: 0.46599
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019888 PGS004060
(megaprs.auto.GCST008972.Gout)
PSS011270|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.94028
β: 0.66283
AUROC: 0.68 0 beta = log(or)/sd_pgs
PPM020035 PGS004064
(megaprs.auto.GCST90013534.RA)
PSS011222|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.52285
β: 0.42059
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM020036 PGS004064
(megaprs.auto.GCST90013534.RA)
PSS011233|
European Ancestry|
388,890 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.6765
β: 0.51671
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM020037 PGS004064
(megaprs.auto.GCST90013534.RA)
PSS011246|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 2.16519
β: 0.77251
AUROC: 0.69 0 beta = log(or)/sd_pgs
PPM020038 PGS004064
(megaprs.auto.GCST90013534.RA)
PSS011262|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.52777
β: 0.42381
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM020039 PGS004064
(megaprs.auto.GCST90013534.RA)
PSS011275|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 2.12896
β: 0.75563
AUROC: 0.71 0 beta = log(or)/sd_pgs
PPM019874 PGS004076
(megaprs.CV.GCST008972.Gout)
PSS011217|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.55746
β: 0.44305
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019875 PGS004076
(megaprs.CV.GCST008972.Gout)
PSS011229|
European Ancestry|
257,781 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.63709
β: 0.49292
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019876 PGS004076
(megaprs.CV.GCST008972.Gout)
PSS011240|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.76885
β: 0.57033
AUROC: 0.66 0 beta = log(or)/sd_pgs
PPM019877 PGS004076
(megaprs.CV.GCST008972.Gout)
PSS011256|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.67754
β: 0.51733
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019878 PGS004076
(megaprs.CV.GCST008972.Gout)
PSS011284|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.63078
β: 0.48906
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019879 PGS004076
(megaprs.CV.GCST008972.Gout)
PSS011270|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.97547
β: 0.68081
AUROC: 0.68 0 beta = log(or)/sd_pgs
PPM020030 PGS004079
(megaprs.CV.GCST90013534.RA)
PSS011222|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.50199
β: 0.40679
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM020031 PGS004079
(megaprs.CV.GCST90013534.RA)
PSS011233|
European Ancestry|
388,890 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.61696
β: 0.48055
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM020032 PGS004079
(megaprs.CV.GCST90013534.RA)
PSS011246|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 2.0218
β: 0.70399
AUROC: 0.71 0 beta = log(or)/sd_pgs
PPM020033 PGS004079
(megaprs.CV.GCST90013534.RA)
PSS011262|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.60515
β: 0.47322
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM020034 PGS004079
(megaprs.CV.GCST90013534.RA)
PSS011275|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 2.22137
β: 0.79813
AUROC: 0.72 0 beta = log(or)/sd_pgs
PPM019892 PGS004090
(prscs.auto.GCST008972.Gout)
PSS011217|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.50656
β: 0.40983
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019893 PGS004090
(prscs.auto.GCST008972.Gout)
PSS011229|
European Ancestry|
257,781 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.57446
β: 0.45391
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019895 PGS004090
(prscs.auto.GCST008972.Gout)
PSS011240|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.6051
β: 0.47319
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019896 PGS004090
(prscs.auto.GCST008972.Gout)
PSS011256|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.68882
β: 0.52403
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019898 PGS004090
(prscs.auto.GCST008972.Gout)
PSS011284|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.42666
β: 0.35534
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019900 PGS004090
(prscs.auto.GCST008972.Gout)
PSS011270|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.93464
β: 0.65992
AUROC: 0.68 0 beta = log(or)/sd_pgs
PPM020045 PGS004094
(prscs.auto.GCST90013534.RA)
PSS011222|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.43309
β: 0.35983
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM020046 PGS004094
(prscs.auto.GCST90013534.RA)
PSS011233|
European Ancestry|
388,890 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.64768
β: 0.49937
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM020047 PGS004094
(prscs.auto.GCST90013534.RA)
PSS011246|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.45841
β: 0.37734
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM020048 PGS004094
(prscs.auto.GCST90013534.RA)
PSS011262|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.30074
β: 0.26293
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM020049 PGS004094
(prscs.auto.GCST90013534.RA)
PSS011275|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.88898
β: 0.63604
AUROC: 0.69 0 beta = log(or)/sd_pgs
PPM020040 PGS004103
(prscs.CV.GCST90013534.RA)
PSS011222|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.39977
β: 0.33631
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM020041 PGS004103
(prscs.CV.GCST90013534.RA)
PSS011233|
European Ancestry|
388,890 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.43354
β: 0.36015
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM020042 PGS004103
(prscs.CV.GCST90013534.RA)
PSS011246|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.62378
β: 0.48476
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM020043 PGS004103
(prscs.CV.GCST90013534.RA)
PSS011262|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.24983
β: 0.22301
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM020044 PGS004103
(prscs.CV.GCST90013534.RA)
PSS011275|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.9189
β: 0.65175
AUROC: 0.68 0 beta = log(or)/sd_pgs
PPM019820 PGS004114
(pt_clump.auto.GCST008972.Gout)
PSS011217|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.35293
β: 0.30227
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019821 PGS004114
(pt_clump.auto.GCST008972.Gout)
PSS011229|
European Ancestry|
257,781 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.4164
β: 0.34812
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019823 PGS004114
(pt_clump.auto.GCST008972.Gout)
PSS011240|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.6966
β: 0.52862
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019824 PGS004114
(pt_clump.auto.GCST008972.Gout)
PSS011256|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.52441
β: 0.42161
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019826 PGS004114
(pt_clump.auto.GCST008972.Gout)
PSS011284|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.39654
β: 0.334
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019828 PGS004114
(pt_clump.auto.GCST008972.Gout)
PSS011270|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.60047
β: 0.4703
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM020005 PGS004118
(pt_clump.auto.GCST90013534.RA)
PSS011222|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.33056
β: 0.2856
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM020006 PGS004118
(pt_clump.auto.GCST90013534.RA)
PSS011233|
European Ancestry|
388,890 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.40296
β: 0.33858
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM020007 PGS004118
(pt_clump.auto.GCST90013534.RA)
PSS011246|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.70576
β: 0.53401
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM020008 PGS004118
(pt_clump.auto.GCST90013534.RA)
PSS011262|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.30274
β: 0.26447
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM020009 PGS004118
(pt_clump.auto.GCST90013534.RA)
PSS011275|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.56663
β: 0.44893
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019829 PGS004130
(pt_clump_nested.CV.GCST008972.Gout)
PSS011217|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.41975
β: 0.35048
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019830 PGS004130
(pt_clump_nested.CV.GCST008972.Gout)
PSS011229|
European Ancestry|
257,781 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.49959
β: 0.40519
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019832 PGS004130
(pt_clump_nested.CV.GCST008972.Gout)
PSS011240|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.59226
β: 0.46516
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019833 PGS004130
(pt_clump_nested.CV.GCST008972.Gout)
PSS011256|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.54512
β: 0.4351
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019835 PGS004130
(pt_clump_nested.CV.GCST008972.Gout)
PSS011284|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.47895
β: 0.39133
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019837 PGS004130
(pt_clump_nested.CV.GCST008972.Gout)
PSS011270|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.69355
β: 0.52682
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM020010 PGS004133
(pt_clump_nested.CV.GCST90013534.RA)
PSS011222|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.34749
β: 0.29824
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM020011 PGS004133
(pt_clump_nested.CV.GCST90013534.RA)
PSS011233|
European Ancestry|
388,890 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.43562
β: 0.3616
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM020012 PGS004133
(pt_clump_nested.CV.GCST90013534.RA)
PSS011246|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.54617
β: 0.43578
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM020013 PGS004133
(pt_clump_nested.CV.GCST90013534.RA)
PSS011262|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.33067
β: 0.28568
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM020014 PGS004133
(pt_clump_nested.CV.GCST90013534.RA)
PSS011275|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.49068
β: 0.39923
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019847 PGS004144
(sbayesr.auto.GCST008972.Gout)
PSS011217|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.37049
β: 0.31517
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019848 PGS004144
(sbayesr.auto.GCST008972.Gout)
PSS011229|
European Ancestry|
257,781 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.39569
β: 0.33339
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019850 PGS004144
(sbayesr.auto.GCST008972.Gout)
PSS011240|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.35132
β: 0.30108
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019851 PGS004144
(sbayesr.auto.GCST008972.Gout)
PSS011256|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.4915
β: 0.39978
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019853 PGS004144
(sbayesr.auto.GCST008972.Gout)
PSS011284|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.23735
β: 0.21298
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019855 PGS004144
(sbayesr.auto.GCST008972.Gout)
PSS011270|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.71118
β: 0.53718
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM020020 PGS004148
(sbayesr.auto.GCST90013534.RA)
PSS011222|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.39911
β: 0.33583
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM020021 PGS004148
(sbayesr.auto.GCST90013534.RA)
PSS011233|
European Ancestry|
388,890 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.62873
β: 0.4878
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM020022 PGS004148
(sbayesr.auto.GCST90013534.RA)
PSS011246|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.86907
β: 0.62544
AUROC: 0.67 0 beta = log(or)/sd_pgs
PPM020023 PGS004148
(sbayesr.auto.GCST90013534.RA)
PSS011262|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.46527
β: 0.38204
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM020024 PGS004148
(sbayesr.auto.GCST90013534.RA)
PSS011275|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.74045
β: 0.55414
AUROC: 0.66 0 beta = log(or)/sd_pgs
PPM019859 PGS004160
(UKBB_EnsPGS.GCST008972.Gout)
PSS011217|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.58633
β: 0.46142
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019860 PGS004160
(UKBB_EnsPGS.GCST008972.Gout)
PSS011229|
European Ancestry|
257,781 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.67706
β: 0.51704
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019861 PGS004160
(UKBB_EnsPGS.GCST008972.Gout)
PSS011240|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.88658
β: 0.63476
AUROC: 0.67 0 beta = log(or)/sd_pgs
PPM019862 PGS004160
(UKBB_EnsPGS.GCST008972.Gout)
PSS011256|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.73594
β: 0.55155
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019863 PGS004160
(UKBB_EnsPGS.GCST008972.Gout)
PSS011284|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.63885
β: 0.49399
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019864 PGS004160
(UKBB_EnsPGS.GCST008972.Gout)
PSS011270|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 2.04859
β: 0.71715
AUROC: 0.69 0 beta = log(or)/sd_pgs
PPM020025 PGS004163
(UKBB_EnsPGS.GCST90013534.RA)
PSS011222|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.64114
β: 0.49539
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM020026 PGS004163
(UKBB_EnsPGS.GCST90013534.RA)
PSS011233|
European Ancestry|
388,890 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.75402
β: 0.56191
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM020027 PGS004163
(UKBB_EnsPGS.GCST90013534.RA)
PSS011246|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 2.39078
β: 0.87162
AUROC: 0.74 0 beta = log(or)/sd_pgs
PPM020028 PGS004163
(UKBB_EnsPGS.GCST90013534.RA)
PSS011262|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 1.6676
β: 0.51138
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM020029 PGS004163
(UKBB_EnsPGS.GCST90013534.RA)
PSS011275|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Seropositive RA OR: 2.46183
β: 0.90091
AUROC: 0.75 0 beta = log(or)/sd_pgs
PPM020157 PGS004222
(GRS13_gout)
PSS011298|
Multi-ancestry (including European)|
403,630 individuals
PGP000522 |
Wu Q et al. J Psychosom Res (2023)
Reported Trait: Incident gout p (interaction between PRS and sleep pattern): 0.043 Age, sex, race, Townsend deprivation index (TDI), body mass index (BMI), smoking and drinking status, history of hypertension and diabetes, uric acid, total cholesterol, estimated glomerular filtration rate (eGFR) levels, the use of diuretics medications
PPM020440 PGS004326
(PRS154_RA)
PSS011363|
European Ancestry|
342,973 individuals
PGP000560 |
Zhang J et al. Environ Health Perspect (2023)
Reported Trait: Incident rheumatoid arthritis HR: 1.22 [1.17, 1.27] age, sex, UK Biobank assessment center, household income, education level, smoking status, body mass index, alcohol consumption, sedentary time, physical activity duration, healthy diet score, first 10 genetic principal components, and genotyping batch.
PPM020441 PGS004326
(PRS154_RA)
PSS011363|
European Ancestry|
342,973 individuals
PGP000560 |
Zhang J et al. Environ Health Perspect (2023)
Reported Trait: Incident rheumatoid arthritis with air pollution Hazard ratio (HR, high air pollution and PRS in top tertile vs low air pollution and PRS in bottom tertile): 1.73 [1.39, 2.17] age, sex, UK Biobank assessment center, household income, education level, smoking status, body mass index, alcohol consumption, sedentary time, physical activity duration, healthy diet score, first 10 genetic principal components, and genotyping batch.
PPM020592 PGS004477
(disease.M13.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: M13 (Other arthritis) OR: 1.1956
PPM020593 PGS004478
(disease.M16.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: M16 (Coxarthrosis [arthrosis of hip]) OR: 1.29595
PPM020594 PGS004479
(disease.M17.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: M17 (Gonarthrosis [arthrosis of knee]) OR: 1.32326
PPM020662 PGS004547
(meta.M13.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: M13 (Other arthritis) OR: 1.2622
PPM020663 PGS004548
(meta.M16.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: M16 (Coxarthrosis [arthrosis of hip]) OR: 1.21626
PPM020664 PGS004549
(meta.M17.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: M17 (Gonarthrosis [arthrosis of knee]) OR: 1.36669

Evaluated Samples

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
PSS004183
[
  • 3 cases
  • , 6,494 controls
]
African unspecified UKB
PSS004185
[
  • 12 cases
  • , 24,893 controls
]
European non-white British ancestry UKB
PSS004186
[
  • 2 cases
  • , 7,829 controls
]
South Asian UKB
PSS004187
[
  • 30 cases
  • , 67,395 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004188
[
  • 5 cases
  • , 6,492 controls
]
African unspecified 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
PSS004190
[
  • 32 cases
  • , 24,873 controls
]
European non-white British ancestry UKB
PSS004191
[
  • 18 cases
  • , 7,813 controls
]
South Asian UKB
PSS004192
[
  • 127 cases
  • , 67,298 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004193
[
  • 122 cases
  • , 6,375 controls
]
African unspecified UKB
PSS004706
[
  • 2 cases
  • , 6,495 controls
]
African unspecified UKB
PSS004194
[
  • 19 cases
  • , 1,685 controls
]
East Asian UKB
PSS004195
[
  • 409 cases
  • , 24,496 controls
]
European non-white British ancestry UKB
PSS004196
[
  • 197 cases
  • , 7,634 controls
]
South Asian UKB
PSS004710
[
  • 231 cases
  • , 67,194 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004197
[
  • 1,343 cases
  • , 66,082 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004707
[
  • 2 cases
  • , 1,702 controls
]
East Asian UKB
PSS004708
[
  • 81 cases
  • , 24,824 controls
]
European non-white British ancestry UKB
PSS004709
[
  • 21 cases
  • , 7,810 controls
]
South Asian UKB
PSS004203
[
  • 145 cases
  • , 6,352 controls
]
African unspecified UKB
PSS004204
[
  • 46 cases
  • , 1,658 controls
]
East Asian UKB
PSS004205
[
  • 749 cases
  • , 24,156 controls
]
European non-white British ancestry UKB
PSS004206
[
  • 286 cases
  • , 7,545 controls
]
South Asian UKB
PSS004207
[
  • 2,391 cases
  • , 65,034 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004208
[
  • 85 cases
  • , 6,412 controls
]
African unspecified UKB
PSS004209
[
  • 16 cases
  • , 1,688 controls
]
East Asian UKB
PSS004210
[
  • 779 cases
  • , 24,126 controls
]
European non-white British ancestry UKB
PSS004211
[
  • 74 cases
  • , 7,757 controls
]
South Asian UKB
PSS004212
[
  • 2,783 cases
  • , 64,642 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004213
[
  • 443 cases
  • , 6,054 controls
]
African unspecified UKB
PSS004214
[
  • 56 cases
  • , 1,648 controls
]
East Asian UKB
PSS004215
[
  • 1,333 cases
  • , 23,572 controls
]
European non-white British ancestry UKB
PSS004216
[
  • 684 cases
  • , 7,147 controls
]
South Asian UKB
PSS004217
[
  • 4,861 cases
  • , 62,564 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS007699
[
  • 54 cases
  • , 6,151 controls
]
African unspecified Africa or admixed-ancestry diaspora UKB
PSS007703
[
  • 97 cases
  • , 8,086 controls
]
Asian unspecified Central and South Asian UKB
PSS004228
[
  • 5 cases
  • , 6,492 controls
]
African unspecified UKB
PSS004229
[
  • 2 cases
  • , 1,702 controls
]
East Asian UKB
PSS004230
[
  • 80 cases
  • , 24,825 controls
]
European non-white British ancestry UKB
PSS004231
[
  • 15 cases
  • , 7,816 controls
]
South Asian UKB
PSS004232
[
  • 278 cases
  • , 67,147 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS007712
[
  • 3,783 cases
  • , 355,561 controls
]
European UKB
PSS011217
[
  • 10,646 cases
  • , 188,628 controls
]
European EB
PSS011222
[
  • 2,384 cases
  • , 196,890 controls
]
European EB
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
PSS011229 M13_GOUT, ICD10: M10, ICD9: 2740
[
  • 8,759 cases
  • , 249,022 controls
]
European FinnGen
PSS010038
[
  • 682 cases
  • , 704 controls
]
Oceanian Aotearoa NZ Maori and Cook Island Maori ancestry NR East Polynesian
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.
[
  • 66 cases
  • , 2,954 controls
]
,
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.
[
  • 203 cases
  • , 2,954 controls
]
,
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.
[
  • 135 cases
  • , 2,954 controls
]
,
50.11 % Male samples
European CHOP
PSS000432 Diagnosis of JIA by a paediatric rheumatologist.
[
  • 16 cases
  • , 578 controls
]
,
58.59 % Male samples
European CLARITY Cohort description (PMID): 23153063
PSS000433 Diagnosis of JIA by a paediatric rheumatologist.
[
  • 159 cases
  • , 578 controls
]
,
51.15 % Male samples
European CLARITY Cohort description (PMID): 23153063
PSS000434 Diagnosis of JIA by a paediatric rheumatologist.
[
  • 75 cases
  • , 578 controls
]
,
54.82 % Male samples
European CLARITY Cohort description (PMID): 23153063
PSS010039
[
  • 4,016 cases
  • , 1,506 controls
]
European CLEAR Australia and Aotearoa New Zealand cohort, GlobalGout, LASSO, CRYSTAL, LIGHT
PSS010040
[
  • 490 cases
  • , 379 controls
]
Oceanian Samoan, Tongan, Niuean, Tokelauan and Pukapukan NR West Polynesian
PSS011240
[
  • 282 cases
  • , 43,775 controls
]
South Asian G&H
PSS011233 RHEUMA_SEROPOS_OTH, ICD10: M05[8-9], ICD9: 7140A
[
  • 9,332 cases
  • , 379,558 controls
]
European FinnGen
PSS008680 6,241 individuals European Italy (South Europe) UKB
PSS008234 5,728 individuals South Asian India (South Asia) UKB
PSS008235 5,671 individuals South Asian India (South Asia) UKB
PSS011246
[
  • 60 cases
  • , 43,997 controls
]
South Asian G&H
PSS008681 6,216 individuals European Italy (South Europe) UKB
PSS008241 6,331 individuals South Asian India (South Asia) UKB
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.
[
  • 559 cases
  • , 2,954 controls
]
,
47.5 % Male samples
European CHOP
PSS000180 Diagnosis of JIA by a paediatric rheumatologist.
[
  • 362 cases
  • , 578 controls
]
,
48.9 % Male samples
European CLARITY Cohort description (PMID): 23153063
PSS011256
[
  • 1,318 cases
  • , 65,547 controls
]
European HUNT
PSS008174 6,325 individuals South Asian India (South Asia) UKB
PSS011262
[
  • 1,139 cases
  • , 65,726 controls
]
European HUNT
PSS007742 2,480 individuals African American or Afro-Caribbean Carribean UKB
PSS011270
[
  • 1,676 cases
  • , 88,598 controls
]
European UKB
PSS011275
[
  • 205 cases
  • , 90,069 controls
]
European UKB
PSS000815 87,413 individuals European UKB
PSS000816 ICD-10 M10
[
  • 1,936 cases
  • , 133,364 controls
]
European
(Finnish)
FinnGen
PSS009292 19,983 individuals European UK (+ Ireland) UKB
PSS008687 6,660 individuals European Italy (South Europe) UKB
PSS011284
[
  • 206 cases
  • , 9,120 controls
]
South Asian UKB
PSS000310 Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases Median = 8.0 years
[
  • 32 cases
  • , 213 controls
]
,
32.0 % Male samples
European PHB
PSS000311 Setting III: Based on ICD codes and final diagnosis in medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases Median = 7.0 years
[
  • 22 cases
  • , 221 controls
]
,
32.0 % Male samples
European PHB
PSS000312 Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases Median = 8.0 years
[
  • 30 cases
  • , 215 controls
]
,
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
[
  • 22 cases
  • , 221 controls
]
,
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
[
  • 90 cases
  • , 155 controls
]
,
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
[
  • 115 cases
  • , 128 controls
]
,
32.0 % Male samples
European PHB
PSS009927
[
  • 969 cases
  • , 6,491 controls
]
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
PSS009930
[
  • 894 cases
  • , 2,993 controls
]
European NR Average Cohort Size. Overlaps GWAS Cohorts; however performance metrics are derived using a leave-one-cohort-out cross-validation to minimize overlap
PSS009929
[
  • 1,378 cases
  • , 20,326 controls
]
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
PSS009928
[
  • 624 cases
  • , 680 controls
]
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
PSS000320 Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases Median = 16.0 years
[
  • 387 cases
  • , 824 controls
]
,
43.0 % Male samples
European, African unspecified, Asian unspecified, NR Primarily European, African and Asian ancestry eMERGE
PSS000321 Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases Median = 16.0 years
[
  • 52 cases
  • , 1,159 controls
]
,
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
[
  • 574 cases
  • , 637 controls
]
,
43.0 % Male samples
European, African unspecified, Asian unspecified, NR Primarily European, African and Asian ancestry eMERGE
PSS007799 2,277 individuals African American or Afro-Caribbean Carribean UKB
PSS011298 21,153 individuals Not reported UKB
PSS009935 1,257 individuals European ASPREE
PSS007805 2,484 individuals African American or Afro-Caribbean Carribean UKB
PSS009936 1,422 individuals European ASPREE
PSS009352 18,393 individuals European UK (+ Ireland) UKB
PSS009353 18,262 individuals European UK (+ Ireland) UKB
PSS008845 3,918 individuals African unspecified Nigeria (West Africa) UKB
PSS009359 20,000 individuals European UK (+ Ireland) UKB
PSS000490 Cases included physician-confirmed psoriatic arthritis (PsA). Controls inclded individuals with psoriasis with no history of joint symptoms (psoriasis only - PsO).
[
  • 140 cases
  • , 403 controls
]
NR NR
PSS009939 39,444 individuals European
(Finnish)
FinnGen
PSS009665 Gout was ascertained based on information from self- report (Data-Field 20002, code: 1466), medical records (ICD-10 codes: M10.0, M10.2, M10.3, M10.4, M10.9), and death records (ICD-10 codes: M10.0, M10.2, M10.3, M10.4, M10.9) Median = 12.1 years
[
  • 6,206 cases
  • , 410,275 controls
]
,
45.9 % Male samples
Mean = 56.6 years
Sd = 8.0 years
European UKB
PSS011325 181,559 individuals European UKB
PSS008903 3,634 individuals African unspecified Nigeria (West Africa) UKB
PSS008396 1,200 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008909 3,924 individuals African unspecified Nigeria (West Africa) UKB
PSS010115
[
  • 185 cases
  • , 1,112 controls
]
East Asian
(Taiwanese)
NR TPMI
PSS004452
[
  • 93 cases
  • , 6,404 controls
]
African unspecified UKB
PSS004453
[
  • 38 cases
  • , 1,666 controls
]
East Asian UKB
PSS004454
[
  • 486 cases
  • , 24,419 controls
]
European non-white British ancestry UKB
PSS004455
[
  • 175 cases
  • , 7,656 controls
]
South Asian UKB
PSS004456
[
  • 1,484 cases
  • , 65,941 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004461
[
  • 305 cases
  • , 6,192 controls
]
African unspecified UKB
PSS004462
[
  • 56 cases
  • , 1,648 controls
]
East Asian UKB
PSS004463
[
  • 1,688 cases
  • , 23,217 controls
]
European non-white British ancestry UKB
PSS004464
[
  • 425 cases
  • , 7,406 controls
]
South Asian UKB
PSS004465
[
  • 6,097 cases
  • , 61,328 controls
]
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
PSS008461 1,200 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS004486
[
  • 5 cases
  • , 6,492 controls
]
African unspecified UKB
PSS004487
[
  • 2 cases
  • , 1,702 controls
]
East Asian UKB
PSS004488
[
  • 79 cases
  • , 24,826 controls
]
European non-white British ancestry UKB
PSS004489
[
  • 14 cases
  • , 7,817 controls
]
South Asian UKB
PSS004490
[
  • 268 cases
  • , 67,157 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004491
[
  • 118 cases
  • , 6,379 controls
]
African unspecified UKB
PSS004492
[
  • 18 cases
  • , 1,686 controls
]
East Asian UKB
PSS004493
[
  • 399 cases
  • , 24,506 controls
]
European non-white British ancestry UKB
PSS004494
[
  • 194 cases
  • , 7,637 controls
]
South Asian UKB
PSS004495
[
  • 1,301 cases
  • , 66,124 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS007961 1,810 individuals East Asian China (East Asia) UKB
PSS011363 ICD10: M05, M06 Median = 8.1 years
[
  • 2,034 cases
  • , 340,939 controls
]
,
46.58 % Male samples
Mean = 57.0 years
Sd = 7.9 years
European UKB
PSS011364 56,192 individuals European UKB
PSS008014 1,754 individuals East Asian China (East Asia) UKB
PSS011298 382,477 individuals European UKB
PSS008019 1,810 individuals East Asian China (East Asia) UKB
PSS009066 4,135 individuals European Poland (NE Europe) UKB
PSS004627
[
  • 407 cases
  • , 6,090 controls
]
African unspecified UKB
PSS004628
[
  • 36 cases
  • , 1,668 controls
]
East Asian UKB
PSS004629
[
  • 1,244 cases
  • , 23,661 controls
]
European non-white British ancestry UKB
PSS004630
[
  • 538 cases
  • , 7,293 controls
]
South Asian UKB
PSS004631
[
  • 4,088 cases
  • , 63,337 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS009126 3,878 individuals European Poland (NE Europe) UKB
PSS009127 3,854 individuals European Poland (NE Europe) UKB
PSS008620 6,655 individuals European Italy (South Europe) UKB
PSS009133 4,136 individuals European Poland (NE Europe) UKB