| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000017 (GPS_IBD) |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Inflammatory bowel disease | inflammatory bowel disease | 6,907,112 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000017/ScoringFiles/PGS000017.txt.gz | |
| PGS000114 (GRS-JIA-20) |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Juvenile Idiopathic Arthritis | juvenile idiopathic arthritis | 26 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000114/ScoringFiles/PGS000114.txt.gz |
| PGS000194 (G-PROB_Rapos) |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Rheumatoid arthritis (CCP-negative) | ACPA-positive rheumatoid arthritis | 114 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000194/ScoringFiles/PGS000194.txt.gz |
| PGS000195 (G-PROB_Raneg) |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Rheumatoid arthritis (CCP-negative) | ACPA-negative rheumatoid arthritis | 96 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000195/ScoringFiles/PGS000195.txt.gz |
| PGS000196 (G-PROB_SLE) |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Systemic lupus erythematosus | systemic lupus erythematosus | 55 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000196/ScoringFiles/PGS000196.txt.gz |
| PGS000198 (G-PROB_PsA) |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Psoriatic arthritis | psoriatic arthritis | 31 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000198/ScoringFiles/PGS000198.txt.gz |
| PGS000324 (GRS-JIA-ERA-20) |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Enthesitis-related Juvenile Idiophatic Arthritis | enthesitis-related juvenile idiopathic arthritis | 138 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000324/ScoringFiles/PGS000324.txt.gz |
| PGS000325 (GRS-JIA-Oli-20) |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Oligoarthritis Juvenile Idiophatic Arthritis | oligoarticular juvenile idiopathic arthritis | 21 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000325/ScoringFiles/PGS000325.txt.gz |
| PGS000326 (GRS-JIA-RFN-20) |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Rheumatoid-factor-negative Polyarthritis (Juvenile Idiophatic Arthritis) | polyarticular juvenile idiopathic arthritis, rheumatoid factor negative | 12 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000326/ScoringFiles/PGS000326.txt.gz |
| PGS000328 (GRS_SLE) |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Systemic lupus erythematosus | systemic lupus erythematosus | 57 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000328/ScoringFiles/PGS000328.txt.gz |
| 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 |
| PGS000738 (CONFIRMED_PGS) |
PGP000145 | Roberts GHL et al. Am J Hum Genet (2019) |
Vitiligo | Vitiligo | 48 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000738/ScoringFiles/PGS000738.txt.gz |
| PGS000754 (PRS_SLE) |
PGP000160 | Wang YF et al. Nat Commun (2021) |
Systemic lupus erythematosus | systemic lupus erythematosus | 293,684 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000754/ScoringFiles/PGS000754.txt.gz |
| PGS000760 (VIT) |
PGP000164 | Khan Z et al. Nat Commun (2021) |
Vitiligo | Vitiligo | 42 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000760/ScoringFiles/PGS000760.txt.gz | |
| PGS000771 (GRS95_SLEmain) |
PGP000178 | Chen L et al. Hum Mol Genet (2020) |
Systemic lupus erythematosus | systemic lupus erythematosus | 95 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000771/ScoringFiles/PGS000771.txt.gz | |
| PGS000772 (GRS95_SLEgen) |
PGP000178 | Chen L et al. Hum Mol Genet (2020) |
Systemic lupus erythematosus | systemic lupus erythematosus | 95 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000772/ScoringFiles/PGS000772.txt.gz | |
| PGS000803 (wGRS41_SLE) |
PGP000192 | Kawai VK et al. Lupus (2021) |
Systemic lupus erythematosus | systemic lupus erythematosus | 41 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000803/ScoringFiles/PGS000803.txt.gz |
| PGS000809 (PRS127_MS) |
PGP000194 | Barnes CLK et al. Eur J Hum Genet (2021) |
Multiple sclerosis | multiple sclerosis | 127 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000809/ScoringFiles/PGS000809.txt.gz |
| PGS001042 (GBE_HC645) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Thyrotoxicosis [hyperthyroidism] (time-to-event) | Thyrotoxicosis | 226 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001042/ScoringFiles/PGS001042.txt.gz |
| PGS001043 (GBE_HC55) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Hyperthyroidism, thyrotoxicosis | hyperthyroidism, Thyrotoxicosis |
69 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001043/ScoringFiles/PGS001043.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 |
| 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 |
| PGS001270 (GBE_HC151) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Multiple sclerosis | multiple sclerosis | 41 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001270/ScoringFiles/PGS001270.txt.gz |
| PGS001271 (GBE_HC810) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Multiple sclerosis (time-to-event) | multiple sclerosis | 36 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001271/ScoringFiles/PGS001271.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 |
| PGS001288 (GBE_HC95) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Inflammatory bowel disease | inflammatory bowel disease | 195 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001288/ScoringFiles/PGS001288.txt.gz |
| PGS001306 (GBE_HC201) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Ulcerative colitis | ulcerative colitis | 179 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001306/ScoringFiles/PGS001306.txt.gz |
| PGS001307 (GBE_HC1102) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Ulcerative colitis (time-to-event) | ulcerative colitis | 809 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001307/ScoringFiles/PGS001307.txt.gz |
| PGS001308 (GBE_HC321) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Sjogren's syndrome/sicca syndrome | Sjogren syndrome | 7 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001308/ScoringFiles/PGS001308.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 |
| PGS001330 (GBE_HC1101) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Crohn's disease [regional enteritis] (time-to-event) | Crohn's disease | 220 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001330/ScoringFiles/PGS001330.txt.gz |
| PGS001331 (GBE_HC322) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Crohn's disease | Crohn's disease | 257 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001331/ScoringFiles/PGS001331.txt.gz |
| PGS001369 (GBE_HC1090) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Acute appendicitis (time-to-event) | appendicitis | 4 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001369/ScoringFiles/PGS001369.txt.gz |
| PGS001536 (GBE_HC1188) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Vitiligo (time-to-event) | Vitiligo | 77 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001536/ScoringFiles/PGS001536.txt.gz |
| PGS001785 (1kgeur_gbmi_leaveUKBBout_AcApp_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Acute appendicitis | appendicitis | 911,334 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001785/ScoringFiles/PGS001785.txt.gz |
| PGS001815 (portability-PLR_242) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Thyrotoxicosis with or without goiter | Thyrotoxicosis | 280 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001815/ScoringFiles/PGS001815.txt.gz |
| PGS001831 (portability-PLR_335) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Multiple sclerosis | multiple sclerosis | 491 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001831/ScoringFiles/PGS001831.txt.gz |
| PGS001855 (portability-PLR_555.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Ulcerative colitis | ulcerative colitis | 1,505 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001855/ScoringFiles/PGS001855.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 |
| PGS002023 (portability-ldpred2_242) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Thyrotoxicosis with or without goiter | Thyrotoxicosis | 279,385 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002023/ScoringFiles/PGS002023.txt.gz |
| PGS002038 (portability-ldpred2_335) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Multiple sclerosis | multiple sclerosis | 129,077 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002038/ScoringFiles/PGS002038.txt.gz |
| PGS002066 (portability-ldpred2_555.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Ulcerative colitis | ulcerative colitis | 566,637 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002066/ScoringFiles/PGS002066.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 |
| 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 | |
| PGS002312 (disease_AID_ALL.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Autoimmune disease | autoimmune disease | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002312/ScoringFiles/PGS002312.txt.gz |
| PGS002359 (disease_AID_ALL.BOLT-LMM-BBJ) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Autoimmune disease | autoimmune disease | 920,927 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002359/ScoringFiles/PGS002359.txt.gz |
| PGS002384 (disease_AID_ALL.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Autoimmune disease | autoimmune disease | 2,563 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002384/ScoringFiles/PGS002384.txt.gz |
| PGS002433 (disease_AID_ALL.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Autoimmune disease | autoimmune disease | 13,075 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002433/ScoringFiles/PGS002433.txt.gz |
| PGS002482 (disease_AID_ALL.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Autoimmune disease | autoimmune disease | 88,404 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002482/ScoringFiles/PGS002482.txt.gz |
| PGS002531 (disease_AID_ALL.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Autoimmune disease | autoimmune disease | 382 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002531/ScoringFiles/PGS002531.txt.gz |
| PGS002580 (disease_AID_ALL.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Autoimmune disease | autoimmune disease | 206 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002580/ScoringFiles/PGS002580.txt.gz |
| PGS002629 (disease_AID_ALL.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Autoimmune disease | autoimmune disease | 159,127 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002629/ScoringFiles/PGS002629.txt.gz |
| PGS002678 (disease_AID_ALL.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Autoimmune disease | autoimmune disease | 923,726 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002678/ScoringFiles/PGS002678.txt.gz |
| PGS002726 (PGS_MS_Brain) |
PGP000334 | Shams H et al. Brain (2022) |
Multiple sclerosis | multiple sclerosis | 476,399 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002726/ScoringFiles/PGS002726.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 |
| PGS002769 (Rheumatoid_arthritis_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Seropositive rheumatoid arthritis | rheumatoid arthritis | 1,083,565 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002769/ScoringFiles/PGS002769.txt.gz |
| PGS003420 (PRS100_PRScs) |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Ankylosing spondylitis | ankylosing spondylitis | 100 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003420/ScoringFiles/PGS003420.txt.gz |
| PGS003421 (PRS16_C+T) |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Ankylosing spondylitis | ankylosing spondylitis | 16 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003421/ScoringFiles/PGS003421.txt.gz |
| PGS003422 (PRS16_PRSice2) |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Ankylosing spondylitis | ankylosing spondylitis | 16 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003422/ScoringFiles/PGS003422.txt.gz |
| PGS003423 (PRS100_Lassosum) |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Ankylosing spondylitis | ankylosing spondylitis | 100 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003423/ScoringFiles/PGS003423.txt.gz |
| PGS003424 (PRS100_LDpred2) |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Ankylosing spondylitis | ankylosing spondylitis | 100 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003424/ScoringFiles/PGS003424.txt.gz |
| PGS003755 (wGRS_SLE) |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Systemic lupus erythematosus | systemic lupus erythematosus | 122 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003755/ScoringFiles/PGS003755.txt.gz |
| PGS003756 (wGRS_SLE_non-HLA) |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Systemic lupus erythematosus | systemic lupus erythematosus | 112 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003756/ScoringFiles/PGS003756.txt.gz |
| PGS003757 (wGRS_SLE_HLA) |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Systemic lupus erythematosus | systemic lupus erythematosus | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003757/ScoringFiles/PGS003757.txt.gz |
| PGS003960 (GRS57_SLE) |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Systemic lupus erythematosus | systemic lupus erythematosus | 57 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003960/ScoringFiles/PGS003960.txt.gz |
| PGS003981 (dbslmm.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,103,311 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003981/ScoringFiles/PGS003981.txt.gz | |
| PGS003994 (dbslmm.auto.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 778,205 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003994/ScoringFiles/PGS003994.txt.gz | |
| PGS003997 (lassosum.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 8,406 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003997/ScoringFiles/PGS003997.txt.gz | |
| PGS004010 (lassosum.auto.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 27,045 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004010/ScoringFiles/PGS004010.txt.gz | |
| PGS004013 (lassosum.CV.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 22,690 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004013/ScoringFiles/PGS004013.txt.gz | |
| PGS004021 (lassosum.CV.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 315,740 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004021/ScoringFiles/PGS004021.txt.gz | |
| PGS004023 (ldpred2.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,018,068 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004023/ScoringFiles/PGS004023.txt.gz | |
| PGS004038 (ldpred2.CV.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,018,068 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004038/ScoringFiles/PGS004038.txt.gz | |
| PGS004049 (ldpred2.CV.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 373,627 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004049/ScoringFiles/PGS004049.txt.gz | |
| PGS004051 (megaprs.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 784,928 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004051/ScoringFiles/PGS004051.txt.gz | |
| PGS004064 (megaprs.auto.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 402,214 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004064/ScoringFiles/PGS004064.txt.gz | |
| PGS004067 (megaprs.CV.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 784,928 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004067/ScoringFiles/PGS004067.txt.gz | |
| PGS004079 (megaprs.CV.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 402,214 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004079/ScoringFiles/PGS004079.txt.gz | |
| PGS004081 (prscs.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,073,268 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004081/ScoringFiles/PGS004081.txt.gz | |
| PGS004094 (prscs.auto.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 755,048 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004094/ScoringFiles/PGS004094.txt.gz | |
| PGS004097 (prscs.CV.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,073,268 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004097/ScoringFiles/PGS004097.txt.gz | |
| PGS004103 (prscs.CV.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 755,048 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004103/ScoringFiles/PGS004103.txt.gz | |
| PGS004105 (pt_clump.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 139 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004105/ScoringFiles/PGS004105.txt.gz | |
| PGS004118 (pt_clump.auto.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 91 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004118/ScoringFiles/PGS004118.txt.gz | |
| PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 774 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004121/ScoringFiles/PGS004121.txt.gz | |
| PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 155 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004133/ScoringFiles/PGS004133.txt.gz | |
| PGS004135 (sbayesr.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 912,746 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004135/ScoringFiles/PGS004135.txt.gz | |
| PGS004148 (sbayesr.auto.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 671,211 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004148/ScoringFiles/PGS004148.txt.gz | |
| PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,102,205 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004151/ScoringFiles/PGS004151.txt.gz | |
| PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 778,275 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004163/ScoringFiles/PGS004163.txt.gz | |
| PGS004253 (uc_ldpred2) |
PGP000545 | Middha P et al. Nat Commun (2024) |
Ulcerative colitis | ulcerative colitis | 744,575 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004253/ScoringFiles/PGS004253.txt.gz | |
| PGS004254 (cd_ldpred2) |
PGP000545 | Middha P et al. Nat Commun (2024) |
Crohn's disease | Crohn's disease | 744,682 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004254/ScoringFiles/PGS004254.txt.gz | |
| PGS004255 (GenoBoost_rheumatoid_arthritis_0) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 30 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004255/ScoringFiles/PGS004255.txt.gz |
| PGS004256 (GenoBoost_rheumatoid_arthritis_1) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004256/ScoringFiles/PGS004256.txt.gz |
| PGS004257 (GenoBoost_rheumatoid_arthritis_2) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004257/ScoringFiles/PGS004257.txt.gz |
| PGS004258 (GenoBoost_rheumatoid_arthritis_3) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004258/ScoringFiles/PGS004258.txt.gz |
| PGS004259 (GenoBoost_rheumatoid_arthritis_4) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004259/ScoringFiles/PGS004259.txt.gz |
| PGS004270 (GenoBoost_inflammatory_bowel_disease_0) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Inflammatory bowel disease | inflammatory bowel disease | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004270/ScoringFiles/PGS004270.txt.gz |
| PGS004271 (GenoBoost_inflammatory_bowel_disease_1) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Inflammatory bowel disease | inflammatory bowel disease | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004271/ScoringFiles/PGS004271.txt.gz |
| PGS004272 (GenoBoost_inflammatory_bowel_disease_2) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Inflammatory bowel disease | inflammatory bowel disease | 100 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004272/ScoringFiles/PGS004272.txt.gz |
| PGS004273 (GenoBoost_inflammatory_bowel_disease_3) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Inflammatory bowel disease | inflammatory bowel disease | 110 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004273/ScoringFiles/PGS004273.txt.gz |
| PGS004274 (GenoBoost_inflammatory_bowel_disease_4) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Inflammatory bowel disease | inflammatory bowel disease | 40 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004274/ScoringFiles/PGS004274.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 |
| PGS004699 (Non-HLA-GRS) |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Multiple sclerosis | multiple sclerosis | 307 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004699/ScoringFiles/PGS004699.txt.gz |
| PGS004700 (HLA-GRS) |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Multiple sclerosis | multiple sclerosis | 12 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004700/ScoringFiles/PGS004700.txt.gz |
| PGS004817 (RA_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Rheumatoid Arthritis | rheumatoid arthritis | 786,048 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004817/ScoringFiles/PGS004817.txt.gz |
| PGS004818 (RA_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Rheumatoid Arthritis | rheumatoid arthritis | 6,580,837 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004818/ScoringFiles/PGS004818.txt.gz |
| PGS004819 (RA_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Rheumatoid Arthritis | rheumatoid arthritis | 2,624,228 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004819/ScoringFiles/PGS004819.txt.gz |
| PGS004820 (RA_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Rheumatoid Arthritis | rheumatoid arthritis | 6,580,837 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004820/ScoringFiles/PGS004820.txt.gz |
| PGS004873 (INTERVENE_MegaPRS_RA) |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 551,074 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004873/ScoringFiles/PGS004873.txt.gz | |
| PGS004876 (INTERVENE_MegaPRS_Appendicitis) |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Appendicitis | appendicitis | 601,835 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004876/ScoringFiles/PGS004876.txt.gz |
| PGS004917 (wGRS) |
PGP000648 | Cui J et al. Arthritis Rheumatol (2020) |
Systemic lupus erythematosus | systemic lupus erythematosus | 97 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004917/ScoringFiles/PGS004917.txt.gz |
|
PGS Performance Metric ID (PPM) |
Evaluated Score |
PGS Sample Set ID (PSS) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
Classification Metrics | Other Metrics | Covariates Included in the Model |
PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|---|
| PPM000026 | PGS000017 (GPS_IBD) |
PSS000016| European Ancestry| 288,978 individuals |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.63 [0.62, 0.64] | Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment): 0.021 | age; sex; Ancestry PC 1-4; genotyping chip | — |
| PPM012874 | PGS000017 (GPS_IBD) |
PSS009588| European Ancestry| 1,433 individuals |
PGP000288 | Garcia-Etxebarria K et al. Sci Rep (2022) |Ext. |
Reported Trait: Inflammatory Bowel Disease | — | AUROC: 0.69 [0.66, 0.72] | — | — | — |
| PPM000262 | PGS000114 (GRS-JIA-20) |
PSS000179| European Ancestry| 3,513 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Juvenile Idiopathic Arthritis | OR: 1.838 [1.686, 2.007] | AUROC: 0.735 [0.712, 0.758] | — | sex, genetic PCs 1-10 | — |
| PPM000263 | PGS000114 (GRS-JIA-20) |
PSS000180| European Ancestry| 940 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Juvenile Idiopathic Arthritis | OR: 2.085 [1.773, 2.471] | AUROC: 0.738 [0.705, 0.77] | — | sex, genetic PCs 1-10 | — |
| PPM000260 | PGS000114 (GRS-JIA-20) |
PSS000179| European Ancestry| 3,513 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Juvenile Idiopathic Arthritis | OR: 1.831 [1.685, 1.991] | AUROC: 0.657 [0.631, 0.683] | — | — | — |
| PPM000261 | PGS000114 (GRS-JIA-20) |
PSS000180| European Ancestry| 940 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Juvenile Idiopathic Arthritis | OR: 2.008 [1.731, 2.345] | AUROC: 0.671 [0.635, 0.706] | — | — | — |
| PPM000577 | PGS000194 (G-PROB_Rapos) |
PSS000315| European Ancestry| 243 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.69 [0.63, 0.76] | — | RAN_Gprob | (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit) |
| PPM000571 | PGS000194 (G-PROB_Rapos) |
PSS000314| European Ancestry| 245 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.75 [0.68, 0.81] | — | G-PROB_Raneg | (Setting II: Assigning patient diagnoses based on medical records) |
| PPM000565 | PGS000194 (G-PROB_Rapos) |
PSS000322| Multi-ancestry (including European)| 1,211 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.69 [0.65, 0.72] | — | G-PROB_Raneg | (Setting I: Assigning patient diagnoses based on billing codes) |
| PPM000578 | PGS000195 (G-PROB_Raneg) |
PSS000315| European Ancestry| 243 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.69 [0.63, 0.76] | — | G-PROB_Rapos | (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit) |
| PPM000572 | PGS000195 (G-PROB_Raneg) |
PSS000314| European Ancestry| 245 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.75 [0.68, 0.81] | — | G-PROB_Rapos | (Setting II: Assigning patient diagnoses based on medical records) |
| PPM000566 | PGS000195 (G-PROB_Raneg) |
PSS000322| Multi-ancestry (including European)| 1,211 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.69 [0.65, 0.72] | — | G-PROB_Rapos | (Setting I: Assigning patient diagnoses based on billing codes) |
| PPM000579 | PGS000196 (G-PROB_SLE) |
PSS000319| European Ancestry| 243 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Systemic lupus erythematosus diagnosis in patient with arthritis | — | AUROC: 0.61 [0.27, 0.86] | — | — | (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit) |
| PPM000573 | PGS000196 (G-PROB_SLE) |
PSS000318| European Ancestry| 245 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Systemic lupus erythematosus diagnosis in patient with arthritis | — | AUROC: 0.79 [0.72, 0.85] | — | — | (Setting II: Assigning patient diagnoses based on medical records) |
| PPM000567 | PGS000196 (G-PROB_SLE) |
PSS000324| Multi-ancestry (including European)| 1,211 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Systemic lupus erythematosus diagnosis in patient with arthritis | — | AUROC: 0.74 [0.7, 0.78] | — | — | (Setting I: Assigning patient diagnoses based on billing codes) |
| PPM000581 | PGS000198 (G-PROB_PsA) |
PSS000313| European Ancestry| 243 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Psoriatic arthritis diagnosis in patient with arthritis | — | AUROC: 0.62 [0.48, 0.8] | — | — | (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit) |
| PPM000575 | PGS000198 (G-PROB_PsA) |
PSS000312| European Ancestry| 245 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Psoriatic arthritis diagnosis in patient with arthritis | — | AUROC: 0.71 [0.63, 0.82] | — | — | (Setting II: Assigning patient diagnoses based on medical records) |
| PPM000569 | PGS000198 (G-PROB_PsA) |
PSS000321| Multi-ancestry (including European)| 1,211 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Psoriatic arthritis diagnosis in patient with arthritis | — | AUROC: 0.61 [0.52, 0.69] | — | — | (Setting I: Assigning patient diagnoses based on billing codes) |
| PPM000874 | PGS000324 (GRS-JIA-ERA-20) |
PSS000432| European Ancestry| 594 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Enthesitis-related Arthritis | OR: 3.09 [2.07, 5.04] | AUROC: 0.93 [0.86, 0.99] | — | sex, genetic PCs 1-10 | — |
| PPM000873 | PGS000324 (GRS-JIA-ERA-20) |
PSS000429| European Ancestry| 3,020 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Enthesitis-related Arthritis | OR: 1.86 [1.61, 2.14] | AUROC: 0.75 [0.68, 0.82] | — | sex, genetic PCs 1-10 | — |
| PPM000867 | PGS000324 (GRS-JIA-ERA-20) |
PSS000429| European Ancestry| 3,020 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Enthesitis-related Arthritis | OR: 1.84 [1.6, 2.17] | AUROC: 0.7 [0.63, 0.77] | — | — | — |
| PPM000868 | PGS000324 (GRS-JIA-ERA-20) |
PSS000432| European Ancestry| 594 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Enthesitis-related Arthritis | OR: 2.99 [2.11, 4.54] | AUROC: 0.84 [0.71, 0.97] | — | — | — |
| PPM000875 | PGS000325 (GRS-JIA-Oli-20) |
PSS000430| European Ancestry| 3,157 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Oligoarthritis Juvenile Idiophatic Arthritis | OR: 1.93 [1.75, 2.13] | AUROC: 0.8 [0.77, 0.84] | — | sex, genetic PCs 1-10 | — |
| PPM000876 | PGS000325 (GRS-JIA-Oli-20) |
PSS000433| European Ancestry| 737 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Oligoarthritis Juvenile Idiophatic Arthritis | OR: 2.19 [1.81, 2.71] | AUROC: 0.79 [0.76, 0.83] | — | sex, genetic PCs 1-10 | — |
| PPM000869 | PGS000325 (GRS-JIA-Oli-20) |
PSS000430| European Ancestry| 3,157 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Oligoarthritis Juvenile Idiophatic Arthritis | OR: 1.93 [1.76, 2.11] | AUROC: 0.77 [0.73, 0.8] | — | — | — |
| PPM000870 | PGS000325 (GRS-JIA-Oli-20) |
PSS000433| European Ancestry| 737 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Oligoarthritis Juvenile Idiophatic Arthritis | OR: 2.24 [1.88, 2.71] | AUROC: 0.74 [0.7, 0.79] | — | — | — |
| PPM000878 | PGS000326 (GRS-JIA-RFN-20) |
PSS000434| European Ancestry| 653 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Rheumatoid-factor-negative Polyarthritis | OR: 1.71 [1.42, 2.07] | AUROC: 0.74 [0.68, 0.8] | — | sex, genetic PCs 1-10 | — |
| PPM000872 | PGS000326 (GRS-JIA-RFN-20) |
PSS000434| European Ancestry| 653 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Rheumatoid-factor-negative Polyarthritis | OR: 1.69 [1.42, 2.02] | AUROC: 0.66 [0.59, 0.73] | — | — | — |
| PPM000877 | PGS000326 (GRS-JIA-RFN-20) |
PSS000431| European Ancestry| 3,089 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Rheumatoid-factor-negative Polyarthritis | OR: 1.51 [1.35, 1.68] | AUROC: 0.76 [0.72, 0.8] | — | sex, genetic PCs 1-10 | — |
| PPM000871 | PGS000326 (GRS-JIA-RFN-20) |
PSS000431| European Ancestry| 3,089 individuals |
PGP000052 | Cánovas R et al. Ann Rheum Dis (2020) |
Reported Trait: Rheumatoid-factor-negative Polyarthritis | OR: 1.48 [1.33, 1.64] | AUROC: 0.64 [0.59, 0.69] | — | — | — |
| PPM000882 | PGS000328 (GRS_SLE) |
PSS000438| European Ancestry| 15,383 individuals |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.71 | Odds Ratio (OR; highest vs. lowest quartile): 7.48 [6.73, 8.32] | — | — |
| PPM000880 | PGS000328 (GRS_SLE) |
PSS000436| European Ancestry| 3,803 individuals |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.78 | Odds Ratio (OR; highest vs. lowest quartile): 12.32 [9.53, 15.71] | — | — |
| PPM000883 | PGS000328 (GRS_SLE) |
PSS000436| European Ancestry| 3,803 individuals |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Reported Trait: Systemic Lupus damage score (SDI) | OR: 1.13 [1.03, 1.24] | — | Odds Ratio (OR; highest vs. lowest quartile): 1.47 [1.06, 2.04] | — | — |
| PPM000881 | PGS000328 (GRS_SLE) |
PSS000437| European Ancestry| 1,001 individuals |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Reported Trait: Systemic lupus erythematosus (onset before age 20) | — | AUROC: 0.83 | — | — | — |
| PPM000885 | PGS000328 (GRS_SLE) |
PSS000437| European Ancestry| 1,001 individuals |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Reported Trait: Nephritis in systemic lupus erythematosus patients | — | — | Hazard Ratio (HR; highest vs. lowest quartile): 2.53 [1.72, 3.71] | — | — |
| PPM000884 | PGS000328 (GRS_SLE) |
PSS000436| European Ancestry| 3,803 individuals |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Reported Trait: Systemic lupus erythematosus (age-at-onset) | — | — | Hazard Ratio (HR; highest vs. lowest quartile): 1.47 [1.22, 1.75] | — | — |
| 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] | — | — | — |
| PPM001761 | PGS000738 (CONFIRMED_PGS) |
PSS000907| European Ancestry| 4,008 individuals |
PGP000145 | Roberts GHL et al. Am J Hum Genet (2019) |
Reported Trait: Vitiligo | — | — | Odds Ratio (OR, top 20% vs remaining 80% of score distribution): 4.87 [4.21, 5.64] | — | — |
| PPM001762 | PGS000738 (CONFIRMED_PGS) |
PSS000907| European Ancestry| 4,008 individuals |
PGP000145 | Roberts GHL et al. Am J Hum Genet (2019) |
Reported Trait: Vitiligo | — | — | Odds Ratio (OR, top 10% vs remaining 90% of score distribution): 5.26 [4.42, 6.29] | — | — |
| PPM001763 | PGS000738 (CONFIRMED_PGS) |
PSS000907| European Ancestry| 4,008 individuals |
PGP000145 | Roberts GHL et al. Am J Hum Genet (2019) |
Reported Trait: Vitiligo | — | — | Odds Ratio (OR, top 10% vs remaining 95% of score distribution): 6.2 [4.96, 7.79] | — | — |
| PPM001764 | PGS000738 (CONFIRMED_PGS) |
PSS000907| European Ancestry| 4,008 individuals |
PGP000145 | Roberts GHL et al. Am J Hum Genet (2019) |
Reported Trait: Vitiligo | — | — | Odds Ratio (OR, top 1% vs remaining 99% of score distribution): 8.79 [5.85, 13.78] | — | — |
| PPM018437 | PGS000738 (CONFIRMED_PGS) |
PSS010969| European Ancestry| 4,945 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Fitzpatrick scale | β: 0.02234 | — | R²: 0.02897 | — | — |
| PPM018438 | PGS000738 (CONFIRMED_PGS) |
PSS010968| European Ancestry| 4,702 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Red hair | β: 0.69478 | — | pseudo R²: 0.03857 | — | — |
| PPM018435 | PGS000738 (CONFIRMED_PGS) |
PSS010977| European Ancestry| 4,987 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Freckles | β: -0.04382 | — | R²: 0.02103 | — | — |
| PPM018436 | PGS000738 (CONFIRMED_PGS) |
PSS010974| European Ancestry| 4,979 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Phototype score | β: 0.4039 | — | R²: 0.03252 | — | — |
| PPM001919 | PGS000754 (PRS_SLE) |
PSS000963| East Asian Ancestry| 2,589 individuals |
PGP000160 | Wang YF et al. Nat Commun (2021) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.76 [0.74, 0.78] | — | — | — |
| PPM001920 | PGS000754 (PRS_SLE) |
PSS000960| European Ancestry| 1,340 individuals |
PGP000160 | Wang YF et al. Nat Commun (2021) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.65 | — | — | — |
| PPM001921 | PGS000754 (PRS_SLE) |
PSS000961| European Ancestry| 7,733 individuals |
PGP000160 | Wang YF et al. Nat Commun (2021) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.65 | — | — | — |
| PPM001922 | PGS000754 (PRS_SLE) |
PSS000962| European Ancestry| 1,112 individuals |
PGP000160 | Wang YF et al. Nat Commun (2021) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.62 | — | — | — |
| PPM002076 | PGS000754 (PRS_SLE) |
PSS001027| Additional Asian Ancestries| 3,996 individuals |
PGP000188 | Tangtanatakul P et al. Arthritis Res Ther (2020) |Ext. |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.76 | — | — | — |
| PPM001935 | PGS000760 (VIT) |
PSS000970| European Ancestry| 1,584 individuals |
PGP000164 | Khan Z et al. Nat Commun (2021) |
Reported Trait: anti-PD-L1 induced hypothyroidism in cancer patients | HR: 1.41 [1.22, 1.61] | — | meta-analysis p-value: 1.10e-06 | 5 genotype PCs | — |
| PPM001996 | PGS000771 (GRS95_SLEmain) |
PSS000994| European Ancestry| 524 individuals |
PGP000178 | Chen L et al. Hum Mol Genet (2020) |
Reported Trait: Renal disease age of onset | — | AUROC: 0.576 [0.518, 0.634] | — | — | Renal disease is used as a proxy for systemic lupus erythematosus severity |
| PPM001998 | PGS000771 (GRS95_SLEmain) |
PSS000994| European Ancestry| 524 individuals |
PGP000178 | Chen L et al. Hum Mol Genet (2020) |
Reported Trait: Renal disease age of onset | — | — | Odds Ratio (OR, top 20% vs bottom 20%): 3.155 [1.623, 6.133] | — | Renal disease is used as a proxy for systemic lupus erythematosus severity |
| PPM001997 | PGS000772 (GRS95_SLEgen) |
PSS000993| European Ancestry| 3,101 individuals |
PGP000178 | Chen L et al. Hum Mol Genet (2020) |
Reported Trait: Renal disease | — | — | Odds Ratio (OR, top 20% vs bottom 20%): 1.578 [1.25, 1.991] | — | Renal disease is used as a proxy for systemic lupus erythematosus severity |
| PPM002100 | PGS000803 (wGRS41_SLE) |
PSS001038| European Ancestry| 47,904 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Lupus (localised and systemic) | OR: 1.73 [1.62, 1.85] β: 0.546 (0.034) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002101 | PGS000803 (wGRS41_SLE) |
PSS001043| European Ancestry| 18,722 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Lupus (localised and systemic) | OR: 1.82 [1.66, 2.0] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002102 | PGS000803 (wGRS41_SLE) |
PSS001035| European Ancestry| 47,917 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Systemic lupus erythematosus | OR: 1.71 [1.6, 1.82] β: 0.534 (0.034) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002103 | PGS000803 (wGRS41_SLE) |
PSS001040| European Ancestry| 18,698 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Systemic lupus erythematosus | OR: 1.86 [1.69, 2.04] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002104 | PGS000803 (wGRS41_SLE) |
PSS001037| European Ancestry| 50,429 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Erythematous conditions | OR: 1.28 [1.22, 1.34] β: 0.246 (0.024) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002105 | PGS000803 (wGRS41_SLE) |
PSS001042| European Ancestry| 21,474 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Erythematous conditions | OR: 1.08 [1.04, 1.13] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002106 | PGS000803 (wGRS41_SLE) |
PSS001034| European Ancestry| 47,321 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Cutaneous lupus erythematosus | OR: 1.79 [1.54, 2.08] β: 0.582 (0.078) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002107 | PGS000803 (wGRS41_SLE) |
PSS001039| European Ancestry| 18,422 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Cutaneous lupus erythematosus | OR: 2.02 [1.71, 2.4] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002108 | PGS000803 (wGRS41_SLE) |
PSS001036| European Ancestry| 40,528 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes | OR: 1.11 [1.06, 1.17] β: 0.108 (0.024) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002109 | PGS000803 (wGRS41_SLE) |
PSS001041| European Ancestry| 19,191 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes | OR: 1.11 [1.05, 1.18] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002110 | PGS000803 (wGRS41_SLE) |
PSS001036| European Ancestry| 40,528 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes with renal manifestations | OR: 1.41 [1.26, 1.59] β: 0.346 (0.06) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002111 | PGS000803 (wGRS41_SLE) |
PSS001041| European Ancestry| 19,191 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes with renal manifestations | OR: 1.38 [1.19, 1.6] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002112 | PGS000803 (wGRS41_SLE) |
PSS001036| European Ancestry| 40,528 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes with opthalmic manifestations | OR: 1.32 [1.16, 1.5] β: 0.275 (0.065) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002113 | PGS000803 (wGRS41_SLE) |
PSS001041| European Ancestry| 19,191 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes with opthalmic manifestations | OR: 1.34 [1.18, 1.52] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002114 | PGS000803 (wGRS41_SLE) |
PSS001036| European Ancestry| 40,528 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes with neurological manifestations | OR: 1.16 [1.06, 1.28] β: 0.151 (0.047) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002137 | PGS000809 (PRS127_MS) |
PSS001050| European Ancestry| 725 individuals |
PGP000194 | Barnes CLK et al. Eur J Hum Genet (2021) |
Reported Trait: Multiple sclerosis | β: 0.6 | AUROC: 0.705 (0.029) | R²: 0.07 | Age, sex, PCs(1-2) | — |
| PPM002138 | PGS000809 (PRS127_MS) |
PSS001051| European Ancestry| 656 individuals |
PGP000194 | Barnes CLK et al. Eur J Hum Genet (2021) |
Reported Trait: Multiple sclerosis | β: 0.59 | AUROC: 0.762 (0.055) | R²: 0.075 | Age, sex, PCs(1-2) | — |
| PPM002139 | PGS000809 (PRS127_MS) |
PSS001049| European Ancestry| 8,370 individuals |
PGP000194 | Barnes CLK et al. Eur J Hum Genet (2021) |
Reported Trait: Multiple Sclerosis | β: 0.63 | AUROC: 0.765 (0.042) | R²: 0.069 | Age, sex, PCs(1-2) | — |
| PPM007968 | PGS001042 (GBE_HC645) |
PSS004565| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] | — | AUROC: 0.74292 [0.70274, 0.7831] | R²: 0.0808 Incremental AUROC (full-covars): -0.001 PGS R2 (no covariates): 0.00441 PGS AUROC (no covariates): 0.55406 [0.50519, 0.60292] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007969 | PGS001042 (GBE_HC645) |
PSS004566| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] | — | AUROC: 0.64568 [0.56662, 0.72474] | R²: 0.04341 Incremental AUROC (full-covars): 0.0279 PGS R2 (no covariates): 0.02341 PGS AUROC (no covariates): 0.6179 [0.53755, 0.69825] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007970 | PGS001042 (GBE_HC645) |
PSS004567| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] | — | AUROC: 0.69253 [0.66505, 0.72] | R²: 0.0468 Incremental AUROC (full-covars): 0.03643 PGS R2 (no covariates): 0.01594 PGS AUROC (no covariates): 0.61209 [0.58178, 0.6424] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007971 | PGS001042 (GBE_HC645) |
PSS004568| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] | — | AUROC: 0.68899 [0.63846, 0.73951] | R²: 0.04589 Incremental AUROC (full-covars): 0.03955 PGS R2 (no covariates): 0.01668 PGS AUROC (no covariates): 0.60594 [0.54869, 0.66319] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007972 | PGS001042 (GBE_HC645) |
PSS004569| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] | — | AUROC: 0.71296 [0.69708, 0.72884] | R²: 0.05914 Incremental AUROC (full-covars): 0.04673 PGS R2 (no covariates): 0.02359 PGS AUROC (no covariates): 0.63392 [0.61562, 0.65223] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007973 | PGS001043 (GBE_HC55) |
PSS004526| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hyperthyroidism/thyrotoxicosis | — | AUROC: 0.73999 [0.69812, 0.78186] | R²: 0.07663 Incremental AUROC (full-covars): -0.00598 PGS R2 (no covariates): 0.00164 PGS AUROC (no covariates): 0.53513 [0.48316, 0.5871] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007974 | PGS001043 (GBE_HC55) |
PSS004527| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hyperthyroidism/thyrotoxicosis | — | AUROC: 0.62359 [0.53601, 0.71117] | R²: 0.03132 Incremental AUROC (full-covars): 0.0205 PGS R2 (no covariates): 0.01311 PGS AUROC (no covariates): 0.58858 [0.50442, 0.67274] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007975 | PGS001043 (GBE_HC55) |
PSS004528| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hyperthyroidism/thyrotoxicosis | — | AUROC: 0.69729 [0.66674, 0.72784] | R²: 0.04646 Incremental AUROC (full-covars): 0.03676 PGS R2 (no covariates): 0.01638 PGS AUROC (no covariates): 0.61845 [0.58525, 0.65166] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007976 | PGS001043 (GBE_HC55) |
PSS004529| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hyperthyroidism/thyrotoxicosis | — | AUROC: 0.68797 [0.63675, 0.7392] | R²: 0.04145 Incremental AUROC (full-covars): 0.04372 PGS R2 (no covariates): 0.01807 PGS AUROC (no covariates): 0.60983 [0.54762, 0.67204] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007977 | PGS001043 (GBE_HC55) |
PSS004530| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hyperthyroidism/thyrotoxicosis | — | AUROC: 0.71366 [0.6965, 0.73082] | R²: 0.0566 Incremental AUROC (full-covars): 0.04641 PGS R2 (no covariates): 0.02158 PGS AUROC (no covariates): 0.6323 [0.61251, 0.6521] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008289 | PGS001110 (GBE_HC1209) |
PSS004183| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE reactive arthropathies | — | AUROC: 0.9594 [0.92062, 0.99818] | R²: 0.17918 Incremental AUROC (full-covars): 0.00395 PGS R2 (no covariates): 0.00991 PGS AUROC (no covariates): 0.72061 [0.49213, 0.9491] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008290 | PGS001110 (GBE_HC1209) |
PSS004185| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE reactive arthropathies | — | AUROC: 0.77096 [0.63921, 0.90271] | R²: 0.09743 Incremental AUROC (full-covars): 0.03274 PGS R2 (no covariates): 0.03411 PGS AUROC (no covariates): 0.65137 [0.47674, 0.826] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008291 | PGS001110 (GBE_HC1209) |
PSS004186| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE reactive arthropathies | — | AUROC: 0.94552 [0.83969, 1.0] | R²: 0.25627 Incremental AUROC (full-covars): 0.00045 PGS R2 (no covariates): 0.00071 PGS AUROC (no covariates): 0.67786 [0.66768, 0.68805] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008292 | PGS001110 (GBE_HC1209) |
PSS004187| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE reactive arthropathies | — | AUROC: 0.6839 [0.58647, 0.78132] | R²: 0.03053 Incremental AUROC (full-covars): 0.07922 PGS R2 (no covariates): 0.02879 PGS AUROC (no covariates): 0.66167 [0.54859, 0.77475] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008840 | PGS001267 (GBE_HC422) |
PSS004486| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.86744 [0.75569, 0.97918] | R²: 0.1463 Incremental AUROC (full-covars): -0.00062 PGS R2 (no covariates): 0.00216 PGS AUROC (no covariates): 0.4722 [0.12421, 0.82018] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008841 | PGS001267 (GBE_HC422) |
PSS004487| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.98913 [0.972, 1.0] | R²: 0.44316 Incremental AUROC (full-covars): 0.0423 PGS R2 (no covariates): 0.24382 PGS AUROC (no covariates): 0.81698 [0.46329, 1.0] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008842 | PGS001267 (GBE_HC422) |
PSS004488| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.73638 [0.67151, 0.80124] | R²: 0.10414 Incremental AUROC (full-covars): 0.06004 PGS R2 (no covariates): 0.07222 PGS AUROC (no covariates): 0.67545 [0.60736, 0.74353] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008843 | PGS001267 (GBE_HC422) |
PSS004489| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.73535 [0.61203, 0.85867] | R²: 0.03713 Incremental AUROC (full-covars): -0.01782 PGS R2 (no covariates): 0.00902 PGS AUROC (no covariates): 0.42181 [0.29024, 0.55338] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008844 | PGS001267 (GBE_HC422) |
PSS004490| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.74328 [0.70673, 0.77983] | R²: 0.10925 Incremental AUROC (full-covars): 0.12994 PGS R2 (no covariates): 0.09877 PGS AUROC (no covariates): 0.72651 [0.68965, 0.76337] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008845 | PGS001268 (GBE_HC1242) |
PSS004228| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ankylosing spondylitis | — | AUROC: 0.86811 [0.75774, 0.97849] | R²: 0.14598 Incremental AUROC (full-covars): 6e-05 PGS R2 (no covariates): 0.00104 PGS AUROC (no covariates): 0.48424 [0.12443, 0.84406] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008846 | PGS001268 (GBE_HC1242) |
PSS004229| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ankylosing spondylitis | — | AUROC: 0.99148 [0.9789, 1.0] | R²: 0.44858 Incremental AUROC (full-covars): 0.04465 PGS R2 (no covariates): 0.23755 PGS AUROC (no covariates): 0.81257 [0.45025, 1.0] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008847 | PGS001268 (GBE_HC1242) |
PSS004230| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ankylosing spondylitis | — | AUROC: 0.73336 [0.66901, 0.79772] | R²: 0.10217 Incremental AUROC (full-covars): 0.0575 PGS R2 (no covariates): 0.06991 PGS AUROC (no covariates): 0.67405 [0.607, 0.74111] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008848 | PGS001268 (GBE_HC1242) |
PSS004231| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ankylosing spondylitis | — | AUROC: 0.73282 [0.61573, 0.84991] | R²: 0.03979 Incremental AUROC (full-covars): -0.01963 PGS R2 (no covariates): 0.00774 PGS AUROC (no covariates): 0.4297 [0.29438, 0.56502] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008849 | PGS001268 (GBE_HC1242) |
PSS004232| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ankylosing spondylitis | — | AUROC: 0.74878 [0.71314, 0.78442] | R²: 0.115 Incremental AUROC (full-covars): 0.12686 PGS R2 (no covariates): 0.10232 PGS AUROC (no covariates): 0.7346 [0.69884, 0.77037] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008850 | PGS001270 (GBE_HC151) |
PSS004273| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.78603 [0.68344, 0.88862] | R²: 0.07124 Incremental AUROC (full-covars): -0.04449 PGS R2 (no covariates): 0.02639 PGS AUROC (no covariates): 0.35945 [0.2174, 0.5015] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008851 | PGS001270 (GBE_HC151) |
PSS004274| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.65766 [0.60651, 0.7088] | R²: 0.02306 Incremental AUROC (full-covars): 0.0559 PGS R2 (no covariates): 0.01225 PGS AUROC (no covariates): 0.61627 [0.56233, 0.67022] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008852 | PGS001270 (GBE_HC151) |
PSS004275| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.9739 [0.9358, 1.0] | R²: 0.3229 Incremental AUROC (full-covars): 0.01955 PGS R2 (no covariates): 0.02901 PGS AUROC (no covariates): 0.64875 [0.24603, 1.0] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008853 | PGS001270 (GBE_HC151) |
PSS004276| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.69658 [0.66502, 0.72814] | R²: 0.04105 Incremental AUROC (full-covars): 0.08355 PGS R2 (no covariates): 0.02904 PGS AUROC (no covariates): 0.65856 [0.62428, 0.69284] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008854 | PGS001271 (GBE_HC810) |
PSS004637| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE multiple sclerosis | — | AUROC: 0.8033 [0.6935, 0.91311] | PGS R2 (no covariates): 0.01095 R²: 0.10788 Incremental AUROC (full-covars): -0.03509 PGS AUROC (no covariates): 0.39974 [0.23738, 0.56211] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008855 | PGS001271 (GBE_HC810) |
PSS004639| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE multiple sclerosis | — | AUROC: 0.65561 [0.60622, 0.705] | R²: 0.02347 Incremental AUROC (full-covars): 0.05454 PGS R2 (no covariates): 0.01258 PGS AUROC (no covariates): 0.61601 [0.56326, 0.66875] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008856 | PGS001271 (GBE_HC810) |
PSS004640| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE multiple sclerosis | — | AUROC: 0.97595 [0.94159, 1.0] | R²: 0.33555 Incremental AUROC (full-covars): 0.01648 PGS R2 (no covariates): 0.01091 PGS AUROC (no covariates): 0.55629 [0.19512, 0.91745] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008857 | PGS001271 (GBE_HC810) |
PSS004641| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE multiple sclerosis | — | AUROC: 0.6895 [0.65926, 0.71974] | R²: 0.03906 Incremental AUROC (full-covars): 0.07145 PGS R2 (no covariates): 0.02562 PGS AUROC (no covariates): 0.64688 [0.61364, 0.68013] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008933 | PGS001287 (GBE_HC91) |
PSS004706| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.98006 [0.94602, 1.0] | Incremental AUROC (full-covars): 0.00516 R²: 0.29301 PGS R2 (no covariates): 0.01017 PGS AUROC (no covariates): 0.72132 [0.63231, 0.81034] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008934 | PGS001287 (GBE_HC91) |
PSS004707| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.99354 [0.98059, 1.0] | R²: 0.5357 Incremental AUROC (full-covars): -0.00088 PGS R2 (no covariates): 0.00227 PGS AUROC (no covariates): 0.47826 [0.0, 0.96911] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008935 | PGS001287 (GBE_HC91) |
PSS004708| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.72814 [0.67154, 0.78475] | R²: 0.05154 Incremental AUROC (full-covars): 0.08346 PGS R2 (no covariates): 0.0335 PGS AUROC (no covariates): 0.67648 [0.61155, 0.7414] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008936 | PGS001287 (GBE_HC91) |
PSS004709| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.71827 [0.61363, 0.82292] | R²: 0.04395 Incremental AUROC (full-covars): 0.00838 PGS R2 (no covariates): 0.00229 PGS AUROC (no covariates): 0.56943 [0.44876, 0.69011] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008937 | PGS001287 (GBE_HC91) |
PSS004710| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.6376 [0.60073, 0.67447] | R²: 0.02161 Incremental AUROC (full-covars): 0.0945 PGS R2 (no covariates): 0.02111 PGS AUROC (no covariates): 0.63567 [0.598, 0.67334] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008938 | PGS001288 (GBE_HC95) |
PSS004741| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.64251 [0.54711, 0.73791] | R²: 0.05914 Incremental AUROC (full-covars): 0.00245 PGS R2 (no covariates): 0.00027 PGS AUROC (no covariates): 0.52101 [0.42335, 0.61867] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008939 | PGS001288 (GBE_HC95) |
PSS004742| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.89429 [0.79091, 0.99767] | R²: 0.2051 Incremental AUROC (full-covars): -0.0033 PGS R2 (no covariates): 0.0 PGS AUROC (no covariates): 0.48687 [0.28135, 0.6924] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008940 | PGS001288 (GBE_HC95) |
PSS004743| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.63478 [0.60168, 0.66787] | R²: 0.02287 Incremental AUROC (full-covars): 0.02492 PGS R2 (no covariates): 0.0102 PGS AUROC (no covariates): 0.58475 [0.55242, 0.61708] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008941 | PGS001288 (GBE_HC95) |
PSS004744| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.66934 [0.62525, 0.71343] | R²: 0.03759 Incremental AUROC (full-covars): 0.004 PGS R2 (no covariates): 0.00311 PGS AUROC (no covariates): 0.55448 [0.50125, 0.6077] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008942 | PGS001288 (GBE_HC95) |
PSS004745| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.59461 [0.57544, 0.61378] | R²: 0.01221 Incremental AUROC (full-covars): 0.06405 PGS R2 (no covariates): 0.01191 PGS AUROC (no covariates): 0.59586 [0.5768, 0.61492] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009024 | PGS001306 (GBE_HC201) |
PSS004339| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.62904 [0.5093, 0.74878] | R²: 0.04535 Incremental AUROC (full-covars): -0.00864 PGS R2 (no covariates): 0.00044 PGS AUROC (no covariates): 0.51081 [0.37987, 0.64174] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009025 | PGS001306 (GBE_HC201) |
PSS004340| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.89429 [0.79357, 0.99502] | R²: 0.20499 Incremental AUROC (full-covars): -0.0033 PGS R2 (no covariates): 2e-05 PGS AUROC (no covariates): 0.49111 [0.35854, 0.62368] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009026 | PGS001306 (GBE_HC201) |
PSS004341| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.66162 [0.6277, 0.69554] | R²: 0.03336 Incremental AUROC (full-covars): 0.04247 PGS R2 (no covariates): 0.02036 PGS AUROC (no covariates): 0.63006 [0.5958, 0.66432] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009027 | PGS001306 (GBE_HC201) |
PSS004342| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.67522 [0.62537, 0.72506] | R²: 0.03696 Incremental AUROC (full-covars): 0.01011 PGS R2 (no covariates): 0.00545 PGS AUROC (no covariates): 0.56552 [0.50815, 0.62289] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009028 | PGS001306 (GBE_HC201) |
PSS004343| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.6157 [0.59481, 0.63659] | PGS R2 (no covariates): 0.0193 R²: 0.01676 Incremental AUROC (full-covars): 0.08728 PGS AUROC (no covariates): 0.62452 [0.60374, 0.6453] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009029 | PGS001307 (GBE_HC1102) |
PSS004119| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.62873 [0.51002, 0.74744] | R²: 0.04344 Incremental AUROC (full-covars): -0.00895 PGS R2 (no covariates): 0.00027 PGS AUROC (no covariates): 0.50641 [0.39121, 0.62161] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009030 | PGS001307 (GBE_HC1102) |
PSS004120| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.89582 [0.79576, 0.99588] | R²: 0.20607 Incremental AUROC (full-covars): -0.00177 PGS R2 (no covariates): 0.00203 PGS AUROC (no covariates): 0.55433 [0.4473, 0.66136] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009031 | PGS001307 (GBE_HC1102) |
PSS004121| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.65578 [0.62353, 0.68804] | R²: 0.03272 Incremental AUROC (full-covars): 0.04212 PGS R2 (no covariates): 0.0169 PGS AUROC (no covariates): 0.6106 [0.57717, 0.64402] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009032 | PGS001307 (GBE_HC1102) |
PSS004122| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.66008 [0.61042, 0.70974] | R²: 0.03192 Incremental AUROC (full-covars): 0.00203 PGS R2 (no covariates): 0.0036 PGS AUROC (no covariates): 0.55808 [0.506, 0.61016] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009033 | PGS001307 (GBE_HC1102) |
PSS004123| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.63965 [0.62036, 0.65895] | R²: 0.02376 Incremental AUROC (full-covars): 0.1085 PGS R2 (no covariates): 0.02383 PGS AUROC (no covariates): 0.63847 [0.61861, 0.65833] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009034 | PGS001308 (GBE_HC321) |
PSS004437| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.79846 [0.71474, 0.88218] | R²: 0.07345 Incremental AUROC (full-covars): 0.0079 PGS R2 (no covariates): 0.01471 PGS AUROC (no covariates): 0.59027 [0.45551, 0.72504] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009035 | PGS001308 (GBE_HC321) |
PSS004438| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.75824 [0.55089, 0.96558] | R²: 0.05686 Incremental AUROC (full-covars): 0.00691 PGS R2 (no covariates): 0.0091 PGS AUROC (no covariates): 0.69794 [0.63241, 0.76347] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009036 | PGS001308 (GBE_HC321) |
PSS004439| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.77174 [0.71988, 0.82361] | R²: 0.07435 Incremental AUROC (full-covars): 0.01461 PGS R2 (no covariates): 0.01453 PGS AUROC (no covariates): 0.65693 [0.58901, 0.72485] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009037 | PGS001308 (GBE_HC321) |
PSS004440| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.8014 [0.74455, 0.85826] | R²: 0.08893 Incremental AUROC (full-covars): 0.00953 PGS R2 (no covariates): 0.03189 PGS AUROC (no covariates): 0.61034 [0.48809, 0.73259] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009038 | PGS001308 (GBE_HC321) |
PSS004441| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.73313 [0.69647, 0.76978] | R²: 0.04771 Incremental AUROC (full-covars): 0.01551 PGS R2 (no covariates): 0.01074 PGS AUROC (no covariates): 0.60303 [0.55292, 0.65315] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009039 | PGS001309 (GBE_HC1212) |
PSS004193| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other rheumatoid arthritis | — | AUROC: 0.69751 [0.65515, 0.73988] | R²: 0.05129 Incremental AUROC (full-covars): -0.00017 PGS R2 (no covariates): 0.00056 PGS AUROC (no covariates): 0.52591 [0.47486, 0.57696] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009040 | PGS001309 (GBE_HC1212) |
PSS004194| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other rheumatoid arthritis | — | AUROC: 0.67331 [0.56418, 0.78244] | R²: 0.07058 Incremental AUROC (full-covars): -0.02511 PGS R2 (no covariates): 0.0 PGS AUROC (no covariates): 0.50714 [0.3797, 0.63457] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009041 | PGS001309 (GBE_HC1212) |
PSS004195| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other rheumatoid arthritis | — | AUROC: 0.6872 [0.66167, 0.71273] | R²: 0.04826 Incremental AUROC (full-covars): 0.02601 PGS R2 (no covariates): 0.01537 PGS AUROC (no covariates): 0.59782 [0.56885, 0.62679] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009042 | PGS001309 (GBE_HC1212) |
PSS004196| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other rheumatoid arthritis | — | AUROC: 0.70239 [0.66722, 0.73755] | R²: 0.06164 Incremental AUROC (full-covars): -0.00362 PGS R2 (no covariates): 0.00158 PGS AUROC (no covariates): 0.53481 [0.4923, 0.57731] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009043 | PGS001309 (GBE_HC1212) |
PSS004197| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other rheumatoid arthritis | — | AUROC: 0.66538 [0.65101, 0.67976] | R²: 0.03893 Incremental AUROC (full-covars): 0.03207 PGS R2 (no covariates): 0.01495 PGS AUROC (no covariates): 0.59784 [0.582, 0.61368] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009044 | PGS001310 (GBE_HC430) |
PSS004491| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.70522 [0.66309, 0.74736] | R²: 0.0544 Incremental AUROC (full-covars): 0.00203 PGS R2 (no covariates): 0.00109 PGS AUROC (no covariates): 0.53147 [0.47999, 0.58294] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009045 | PGS001310 (GBE_HC430) |
PSS004492| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66116 [0.54578, 0.77655] | R²: 0.06929 Incremental AUROC (full-covars): -0.02514 PGS R2 (no covariates): 0.00033 PGS AUROC (no covariates): 0.52178 [0.38366, 0.6599] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009046 | PGS001310 (GBE_HC430) |
PSS004493| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.68857 [0.6632, 0.71393] | R²: 0.04919 Incremental AUROC (full-covars): 0.02092 PGS R2 (no covariates): 0.01316 PGS AUROC (no covariates): 0.58714 [0.55751, 0.61676] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009047 | PGS001310 (GBE_HC430) |
PSS004494| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.70402 [0.66905, 0.73899] | R²: 0.06207 Incremental AUROC (full-covars): -0.0019 PGS R2 (no covariates): 0.00142 PGS AUROC (no covariates): 0.53137 [0.48984, 0.57291] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009048 | PGS001310 (GBE_HC430) |
PSS004495| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66508 [0.65049, 0.67967] | R²: 0.03894 Incremental AUROC (full-covars): 0.03077 PGS R2 (no covariates): 0.01509 PGS AUROC (no covariates): 0.60018 [0.58428, 0.61607] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009049 | PGS001311 (GBE_HC1211) |
PSS004188| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE seropositive rheumatoid arthritis | — | AUROC: 0.90345 [0.82233, 0.98457] | R²: 0.16794 Incremental AUROC (full-covars): -0.00669 PGS R2 (no covariates): 0.01613 PGS AUROC (no covariates): 0.39273 [0.11505, 0.67041] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009050 | PGS001311 (GBE_HC1211) |
PSS004190| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE seropositive rheumatoid arthritis | — | AUROC: 0.76787 [0.6839, 0.85184] | R²: 0.08412 Incremental AUROC (full-covars): 0.0418 PGS R2 (no covariates): 0.05847 PGS AUROC (no covariates): 0.73164 [0.63667, 0.82662] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009051 | PGS001311 (GBE_HC1211) |
PSS004191| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE seropositive rheumatoid arthritis | — | AUROC: 0.76865 [0.6608, 0.87651] | R²: 0.08089 Incremental AUROC (full-covars): -0.00731 PGS R2 (no covariates): 0.00567 PGS AUROC (no covariates): 0.50626 [0.35145, 0.66107] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009052 | PGS001311 (GBE_HC1211) |
PSS004192| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE seropositive rheumatoid arthritis | — | AUROC: 0.73785 [0.69634, 0.77936] | R²: 0.05309 Incremental AUROC (full-covars): 0.09202 PGS R2 (no covariates): 0.04612 PGS AUROC (no covariates): 0.7072 [0.65945, 0.75495] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009137 | PGS001330 (GBE_HC1101) |
PSS004114| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.66243 [0.55234, 0.77252] | R²: 0.05286 Incremental AUROC (full-covars): -0.02175 PGS R2 (no covariates): 0.00138 PGS AUROC (no covariates): 0.46272 [0.36718, 0.55826] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009138 | PGS001330 (GBE_HC1101) |
PSS004115| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.86369 [0.7806, 0.94678] | R²: 0.13339 Incremental AUROC (full-covars): 0.0 PGS R2 (no covariates): 0.14319 PGS AUROC (no covariates): 0.10664 [0.0, 0.28372] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009139 | PGS001330 (GBE_HC1101) |
PSS004116| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.60269 [0.55209, 0.65328] | R²: 0.01102 Incremental AUROC (full-covars): 0.02413 PGS R2 (no covariates): 0.00621 PGS AUROC (no covariates): 0.57593 [0.52318, 0.62867] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009140 | PGS001330 (GBE_HC1101) |
PSS004117| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.69933 [0.63548, 0.76318] | R²: 0.0344 Incremental AUROC (full-covars): 0.00201 PGS R2 (no covariates): 0.00147 PGS AUROC (no covariates): 0.53846 [0.46042, 0.6165] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009141 | PGS001330 (GBE_HC1101) |
PSS004118| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.55852 [0.52842, 0.58862] | R²: 0.00474 Incremental AUROC (full-covars): 0.07412 PGS R2 (no covariates): 0.00669 PGS AUROC (no covariates): 0.5714 [0.54073, 0.60207] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009142 | PGS001331 (GBE_HC322) |
PSS004442| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Crohns disease | — | AUROC: 0.65892 [0.54485, 0.77299] | R²: 0.05502 Incremental AUROC (full-covars): -0.02526 PGS R2 (no covariates): 4e-05 PGS AUROC (no covariates): 0.49152 [0.37858, 0.60446] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009143 | PGS001331 (GBE_HC322) |
PSS004444| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Crohns disease | — | AUROC: 0.61269 [0.55802, 0.66736] | R²: 0.01161 Incremental AUROC (full-covars): 0.02705 PGS R2 (no covariates): 0.00677 PGS AUROC (no covariates): 0.57919 [0.52051, 0.63786] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009144 | PGS001331 (GBE_HC322) |
PSS004445| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Crohns disease | — | AUROC: 0.71 [0.64649, 0.7735] | R²: 0.03928 Incremental AUROC (full-covars): 0.01378 PGS R2 (no covariates): 0.00366 PGS AUROC (no covariates): 0.56349 [0.47905, 0.64793] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009145 | PGS001331 (GBE_HC322) |
PSS004446| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Crohns disease | — | AUROC: 0.56362 [0.53297, 0.59427] | R²: 0.00529 Incremental AUROC (full-covars): 0.06267 PGS R2 (no covariates): 0.0063 PGS AUROC (no covariates): 0.57326 [0.54246, 0.60406] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005205 | PGS001369 (GBE_HC1090) |
PSS004099| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE acute appendicitis | — | AUROC: 0.62041 [0.53518, 0.70564] | R²: 0.03016 Incremental AUROC (full-covars): -0.00198 PGS R2 (no covariates): 0.00105 PGS AUROC (no covariates): 0.47489 [0.37525, 0.57453] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005206 | PGS001369 (GBE_HC1090) |
PSS004100| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE acute appendicitis | — | AUROC: 0.8493 [0.77779, 0.9208] | R²: 0.14577 Incremental AUROC (full-covars): 0.00105 PGS R2 (no covariates): 0.00332 PGS AUROC (no covariates): 0.51032 [0.33889, 0.68176] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005207 | PGS001369 (GBE_HC1090) |
PSS004101| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE acute appendicitis | — | AUROC: 0.56849 [0.52835, 0.60862] | R²: 0.00702 Incremental AUROC (full-covars): -0.00219 PGS R2 (no covariates): 0.0 PGS AUROC (no covariates): 0.49616 [0.45378, 0.53854] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005208 | PGS001369 (GBE_HC1090) |
PSS004102| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE acute appendicitis | — | AUROC: 0.72977 [0.65912, 0.80042] | Incremental AUROC (full-covars): 0.00039 PGS R2 (no covariates): 0.00096 R²: 0.05613 PGS AUROC (no covariates): 0.5334 [0.44427, 0.62254] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005209 | PGS001369 (GBE_HC1090) |
PSS004103| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE acute appendicitis | — | AUROC: 0.57413 [0.55138, 0.59688] | R²: 0.00617 Incremental AUROC (full-covars): 0.00987 PGS R2 (no covariates): 0.00332 PGS AUROC (no covariates): 0.55036 [0.52746, 0.57326] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005215 | PGS001536 (GBE_HC1188) |
PSS004173| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vitiligo | — | AUROC: 0.63509 [0.52563, 0.74454] | R²: 0.01654 Incremental AUROC (full-covars): -0.00281 PGS R2 (no covariates): 0.0 PGS AUROC (no covariates): 0.51169 [0.39527, 0.62811] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005216 | PGS001536 (GBE_HC1188) |
PSS004174| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vitiligo | — | AUROC: 0.82774 [0.75298, 0.90249] | R²: 0.08055 Incremental AUROC (full-covars): 0.01924 PGS R2 (no covariates): 0.00431 PGS AUROC (no covariates): 0.57823 [0.37976, 0.7767] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005217 | PGS001536 (GBE_HC1188) |
PSS004175| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vitiligo | — | AUROC: 0.6991 [0.61917, 0.77902] | R²: 0.03993 Incremental AUROC (full-covars): 0.01341 PGS R2 (no covariates): 0.00254 PGS AUROC (no covariates): 0.55625 [0.47549, 0.63701] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005218 | PGS001536 (GBE_HC1188) |
PSS004176| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vitiligo | — | AUROC: 0.64566 [0.58746, 0.70386] | R²: 0.02575 Incremental AUROC (full-covars): 0.0309 PGS R2 (no covariates): 0.01048 PGS AUROC (no covariates): 0.60302 [0.5391, 0.66694] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005219 | PGS001536 (GBE_HC1188) |
PSS004177| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vitiligo | — | AUROC: 0.63449 [0.58754, 0.68144] | R²: 0.01686 Incremental AUROC (full-covars): 0.08163 PGS R2 (no covariates): 0.01621 PGS AUROC (no covariates): 0.64193 [0.59907, 0.68478] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009289 | PGS001785 (1kgeur_gbmi_leaveUKBBout_AcApp_pst_eff_a1_b0.5_phiauto) |
PSS007708| European Ancestry| 359,031 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Acute appendicitis | — | AUROC: 0.584 | Nagelkerke's R2 (covariates regressed out): 0.00406 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| PPM009420 | PGS001815 (portability-PLR_242) |
PSS009285| European Ancestry| 19,108 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0191 [0.0049, 0.0332] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009421 | PGS001815 (portability-PLR_242) |
PSS009059| European Ancestry| 3,938 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0288 [-0.0025, 0.06] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009422 | PGS001815 (portability-PLR_242) |
PSS008613| European Ancestry| 6,381 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0232 [-0.0014, 0.0477] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009423 | PGS001815 (portability-PLR_242) |
PSS008389| Greater Middle Eastern Ancestry| 1,143 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): -0.0026 [-0.0611, 0.0559] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009424 | PGS001815 (portability-PLR_242) |
PSS008167| South Asian Ancestry| 5,954 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0473 [0.0219, 0.0726] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009425 | PGS001815 (portability-PLR_242) |
PSS007954| East Asian Ancestry| 1,754 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0177 [-0.0294, 0.0647] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009426 | PGS001815 (portability-PLR_242) |
PSS007735| African Ancestry| 2,410 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): -0.0007 [-0.0408, 0.0394] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009427 | PGS001815 (portability-PLR_242) |
PSS008838| African Ancestry| 3,836 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0182 [-0.0135, 0.0499] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009541 | PGS001831 (portability-PLR_335) |
PSS009301| European Ancestry| 19,299 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0367 [0.0226, 0.0508] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009542 | PGS001831 (portability-PLR_335) |
PSS009075| European Ancestry| 4,011 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0122 [-0.0188, 0.0432] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009543 | PGS001831 (portability-PLR_335) |
PSS008629| European Ancestry| 6,463 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0578 [0.0334, 0.0821] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009544 | PGS001831 (portability-PLR_335) |
PSS008403| Greater Middle Eastern Ancestry| 1,164 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0242 [-0.0338, 0.082] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009545 | PGS001831 (portability-PLR_335) |
PSS008183| South Asian Ancestry| 6,094 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0064 [-0.0188, 0.0315] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009546 | PGS001831 (portability-PLR_335) |
PSS007749| African Ancestry| 2,390 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0032 [-0.037, 0.0435] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009547 | PGS001831 (portability-PLR_335) |
PSS008853| African Ancestry| 3,790 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): -0.0104 [-0.0423, 0.0216] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009730 | PGS001855 (portability-PLR_555.2) |
PSS009330| European Ancestry| 16,188 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0625 [0.0471, 0.0778] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009732 | PGS001855 (portability-PLR_555.2) |
PSS008658| European Ancestry| 5,477 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0453 [0.0188, 0.0717] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009733 | PGS001855 (portability-PLR_555.2) |
PSS008432| Greater Middle Eastern Ancestry| 1,007 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0175 [-0.0449, 0.0799] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009734 | PGS001855 (portability-PLR_555.2) |
PSS008212| South Asian Ancestry| 5,337 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0407 [0.0139, 0.0676] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009735 | PGS001855 (portability-PLR_555.2) |
PSS007994| East Asian Ancestry| 1,630 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0382 [-0.0107, 0.0868] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009736 | PGS001855 (portability-PLR_555.2) |
PSS007777| African Ancestry| 2,105 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.031 [-0.0119, 0.0738] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009737 | PGS001855 (portability-PLR_555.2) |
PSS008881| African Ancestry| 3,465 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): -0.0003 [-0.0337, 0.0331] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009731 | PGS001855 (portability-PLR_555.2) |
PSS009104| European Ancestry| 3,520 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0367 [0.0036, 0.0698] | 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 | — |
| PPM011058 | PGS002023 (portability-ldpred2_242) |
PSS009285| European Ancestry| 19,108 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0199 [0.0057, 0.034] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011059 | PGS002023 (portability-ldpred2_242) |
PSS009059| European Ancestry| 3,938 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0345 [0.0032, 0.0658] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011060 | PGS002023 (portability-ldpred2_242) |
PSS008613| European Ancestry| 6,381 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0195 [-0.0051, 0.044] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011061 | PGS002023 (portability-ldpred2_242) |
PSS008389| Greater Middle Eastern Ancestry| 1,143 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): -0.0281 [-0.0864, 0.0305] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011062 | PGS002023 (portability-ldpred2_242) |
PSS008167| South Asian Ancestry| 5,954 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0457 [0.0203, 0.0711] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011063 | PGS002023 (portability-ldpred2_242) |
PSS007954| East Asian Ancestry| 1,754 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.039 [-0.0081, 0.0859] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011064 | PGS002023 (portability-ldpred2_242) |
PSS007735| African Ancestry| 2,410 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0027 [-0.0374, 0.0428] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011065 | PGS002023 (portability-ldpred2_242) |
PSS008838| African Ancestry| 3,836 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0172 [-0.0146, 0.0489] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011172 | PGS002038 (portability-ldpred2_335) |
PSS009075| European Ancestry| 4,011 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0083 [-0.0228, 0.0393] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011173 | PGS002038 (portability-ldpred2_335) |
PSS008629| European Ancestry| 6,463 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0447 [0.0203, 0.069] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011174 | PGS002038 (portability-ldpred2_335) |
PSS008403| Greater Middle Eastern Ancestry| 1,164 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0296 [-0.0284, 0.0874] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011175 | PGS002038 (portability-ldpred2_335) |
PSS008183| South Asian Ancestry| 6,094 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0149 [-0.0103, 0.04] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011176 | PGS002038 (portability-ldpred2_335) |
PSS007749| African Ancestry| 2,390 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.006 [-0.0343, 0.0463] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011177 | PGS002038 (portability-ldpred2_335) |
PSS008853| African Ancestry| 3,790 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): -0.0243 [-0.0561, 0.0077] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011171 | PGS002038 (portability-ldpred2_335) |
PSS009301| European Ancestry| 19,299 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0396 [0.0255, 0.0536] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011390 | PGS002066 (portability-ldpred2_555.2) |
PSS009330| European Ancestry| 16,188 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0641 [0.0487, 0.0794] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011391 | PGS002066 (portability-ldpred2_555.2) |
PSS009104| European Ancestry| 3,520 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0466 [0.0135, 0.0796] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011392 | PGS002066 (portability-ldpred2_555.2) |
PSS008658| European Ancestry| 5,477 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0426 [0.0161, 0.0691] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011393 | PGS002066 (portability-ldpred2_555.2) |
PSS008432| Greater Middle Eastern Ancestry| 1,007 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0056 [-0.0568, 0.068] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011395 | PGS002066 (portability-ldpred2_555.2) |
PSS007994| East Asian Ancestry| 1,630 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0398 [-0.009, 0.0885] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011396 | PGS002066 (portability-ldpred2_555.2) |
PSS007777| African Ancestry| 2,105 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0272 [-0.0157, 0.0701] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011397 | PGS002066 (portability-ldpred2_555.2) |
PSS008881| African Ancestry| 3,465 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0058 [-0.0276, 0.0392] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011394 | PGS002066 (portability-ldpred2_555.2) |
PSS008212| South Asian Ancestry| 5,337 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0388 [0.0119, 0.0656] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM021728 | PGS002066 (portability-ldpred2_555.2) |
PSS011762| European Ancestry| 8,417 individuals |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |Ext. |
Reported Trait: Ulcerative colitis | OR: 1.11 [0.97, 1.28] | AUROC: 0.57 | — | — | — |
| 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 | — |
| 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) | — |
| PPM013077 | PGS002312 (disease_AID_ALL.BOLT-LMM) |
PSS009691| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0011 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013126 | PGS002312 (disease_AID_ALL.BOLT-LMM) |
PSS009692| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0015 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013175 | PGS002312 (disease_AID_ALL.BOLT-LMM) |
PSS009693| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0124 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013224 | PGS002312 (disease_AID_ALL.BOLT-LMM) |
PSS009694| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0073 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013271 | PGS002359 (disease_AID_ALL.BOLT-LMM-BBJ) |
PSS009691| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013294 | PGS002359 (disease_AID_ALL.BOLT-LMM-BBJ) |
PSS009692| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013317 | PGS002359 (disease_AID_ALL.BOLT-LMM-BBJ) |
PSS009693| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013340 | PGS002359 (disease_AID_ALL.BOLT-LMM-BBJ) |
PSS009694| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013365 | PGS002384 (disease_AID_ALL.P+T.0.0001) |
PSS009691| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013463 | PGS002384 (disease_AID_ALL.P+T.0.0001) |
PSS009693| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0013 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013512 | PGS002384 (disease_AID_ALL.P+T.0.0001) |
PSS009694| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013414 | PGS002384 (disease_AID_ALL.P+T.0.0001) |
PSS009692| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0016 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013561 | PGS002433 (disease_AID_ALL.P+T.0.001) |
PSS009691| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013610 | PGS002433 (disease_AID_ALL.P+T.0.001) |
PSS009692| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0009 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013708 | PGS002433 (disease_AID_ALL.P+T.0.001) |
PSS009694| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013659 | PGS002433 (disease_AID_ALL.P+T.0.001) |
PSS009693| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013757 | PGS002482 (disease_AID_ALL.P+T.0.01) |
PSS009691| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013806 | PGS002482 (disease_AID_ALL.P+T.0.01) |
PSS009692| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0008 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013904 | PGS002482 (disease_AID_ALL.P+T.0.01) |
PSS009694| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013855 | PGS002482 (disease_AID_ALL.P+T.0.01) |
PSS009693| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013953 | PGS002531 (disease_AID_ALL.P+T.1e-06) |
PSS009691| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014002 | PGS002531 (disease_AID_ALL.P+T.1e-06) |
PSS009692| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0025 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014100 | PGS002531 (disease_AID_ALL.P+T.1e-06) |
PSS009694| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0025 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014051 | PGS002531 (disease_AID_ALL.P+T.1e-06) |
PSS009693| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0039 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014149 | PGS002580 (disease_AID_ALL.P+T.5e-08) |
PSS009691| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0005 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014247 | PGS002580 (disease_AID_ALL.P+T.5e-08) |
PSS009693| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0034 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014296 | PGS002580 (disease_AID_ALL.P+T.5e-08) |
PSS009694| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0017 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014198 | PGS002580 (disease_AID_ALL.P+T.5e-08) |
PSS009692| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0015 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014345 | PGS002629 (disease_AID_ALL.PolyFun-pred) |
PSS009691| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0011 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_AID_ALL.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014394 | PGS002629 (disease_AID_ALL.PolyFun-pred) |
PSS009692| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0013 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_AID_ALL.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014443 | PGS002629 (disease_AID_ALL.PolyFun-pred) |
PSS009693| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0126 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_AID_ALL.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014492 | PGS002629 (disease_AID_ALL.PolyFun-pred) |
PSS009694| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0084 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_AID_ALL.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014541 | PGS002678 (disease_AID_ALL.SBayesR) |
PSS009691| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014590 | PGS002678 (disease_AID_ALL.SBayesR) |
PSS009692| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0035 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014639 | PGS002678 (disease_AID_ALL.SBayesR) |
PSS009693| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0087 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014688 | PGS002678 (disease_AID_ALL.SBayesR) |
PSS009694| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0069 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014749 | PGS002726 (PGS_MS_Brain) |
PSS009883| European Ancestry| 253,419 individuals |
PGP000334 | Shams H et al. Brain (2022) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.73 [0.72, 0.74] | Odds ratio (OR, top 10% vs median): 5.3 [4.7, 6.0] | — | — |
| PPM014750 | PGS002726 (PGS_MS_Brain) |
PSS009882| European Ancestry| 938 individuals |
PGP000334 | Shams H et al. Brain (2022) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.8 [0.76, 0.82] | Odds ratio (OR, top 10% vs median): 15.0 [10.4, 24.0] | — | — |
| 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 |
| PPM014969 | PGS002769 (Rheumatoid_arthritis_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Seropositive rheumatoid arthritis | OR: 1.72 [1.61, 1.83] | — | — | age, sex, 10 PCs, technical covariates | — |
| PPM017073 | PGS003420 (PRS100_PRScs) |
PSS010115| East Asian Ancestry| 1,298 individuals |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.7886 | — | — | — |
| PPM017074 | PGS003421 (PRS16_C+T) |
PSS010115| East Asian Ancestry| 1,298 individuals |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.7876 | — | — | — |
| PPM017075 | PGS003422 (PRS16_PRSice2) |
PSS010115| East Asian Ancestry| 1,298 individuals |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.7876 | — | — | — |
| PPM017076 | PGS003423 (PRS100_Lassosum) |
PSS010115| East Asian Ancestry| 1,298 individuals |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.7754 | — | — | — |
| PPM017077 | PGS003424 (PRS100_LDpred2) |
PSS010115| East Asian Ancestry| 1,298 individuals |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.7605 | — | — | — |
| PPM018525 | PGS003755 (wGRS_SLE) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Class III/IV lupus nephritis in anti-sm positive systemic lupus erythematosus | — | AUROC: 0.582 [0.496, 0.668] | — | — | — |
| PPM018519 | PGS003755 (wGRS_SLE) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Childhood-onset systemic lupus erythematosus (onset at age <16 years) | — | — | p: 6.80e-08 | — | — |
| PPM018520 | PGS003755 (wGRS_SLE) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Number of American College of Rheumatology (ACR) criteria for systemic lupus erythematosus | β: 0.143 [0.078, 0.208] | — | — | Onset age, sex, disease duration, and top 4 principal components | — |
| PPM018523 | PGS003755 (wGRS_SLE) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Renal disorder | β: 1.22 [1.12, 1.33] | — | — | Onset age, sex, disease duration, and top 4 principal components | — |
| PPM018524 | PGS003755 (wGRS_SLE) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Production of anti-Sm antibody | β: 1.23 [1.11, 1.36] | — | — | Onset age, sex, disease duration, and top 4 principal components | — |
| PPM018526 | PGS003755 (wGRS_SLE) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Class V lupus nephritis in anti-sm positive systemic lupus erythematosus | — | AUROC: 0.681 [0.602, 0.76] | — | — | — |
| PPM018521 | PGS003756 (wGRS_SLE_non-HLA) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Number of American College of Rheumatology (ACR) criteria for systemic lupus erythematosus | β: 0.133 [0.071, 0.194] | — | — | Onset age, sex, disease duration, and top 4 principal components | — |
| PPM018522 | PGS003757 (wGRS_SLE_HLA) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Number of American College of Rheumatology (ACR) criteria for systemic lupus erythematosus | β: 0.213 [0.079, 0.347] | — | — | Onset age, sex, disease duration, and top 4 principal components | — |
| PPM019115 | PGS003960 (GRS57_SLE) |
PSS011186| Multi-ancestry (including European)| 3,048 individuals |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.65 [0.63, 0.67] | — | — | — |
| PPM019116 | PGS003960 (GRS57_SLE) |
PSS011188| European Ancestry| 1,994 individuals |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.63 [0.6, 0.66] | — | — | — |
| PPM019117 | PGS003960 (GRS57_SLE) |
PSS011187| African Ancestry| 902 individuals |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.5 [0.44, 0.56] | — | — | — |
| PPM019118 | PGS003960 (GRS57_SLE) |
PSS011186| Multi-ancestry (including European)| 3,048 individuals |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.89 [0.87, 0.9] | — | phenotype risk score | — |
| PPM019119 | PGS003960 (GRS57_SLE) |
PSS011188| European Ancestry| 1,994 individuals |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.87 [0.85, 0.89] | — | phenotype risk score | — |
| PPM019120 | PGS003960 (GRS57_SLE) |
PSS011187| African Ancestry| 902 individuals |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.89 [0.86, 0.93] | — | phenotype risk score | — |
| PPM019233 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.33244 [1.27636372, 1.39097687] β: 0.28701 [0.24401519, 0.33000628] |
AUROC: 0.57783 [0.56512605, 0.59053543] | R²: 0.01296 [0.00925469, 0.01730226] | 0 | beta = log(or)/sd_pgs |
| PPM019234 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.89729 [1.85459133, 1.94097411] β: 0.64043 [0.61766436, 0.66318997] |
AUROC: 0.67371 [0.66774486, 0.67966784] | R²: 0.06325 [0.05894778, 0.06769876] | 0 | beta = log(or)/sd_pgs |
| PPM019235 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.82983 [1.67934751, 1.99380176] β: 0.60422 [0.51840533, 0.69004325] |
AUROC: 0.67951 [0.6554003, 0.70362688] | R²: 0.06185 [0.04504691, 0.07994757] | 0 | beta = log(or)/sd_pgs |
| PPM019236 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.51174 [1.44162473, 1.58525957] β: 0.41326 [0.36577076, 0.46074816] |
AUROC: 0.61196 [0.59842833, 0.62548631] | R²: 0.02672 [0.02061732, 0.03338123] | 0 | beta = log(or)/sd_pgs |
| PPM019237 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.62008 [1.39671425, 1.87915576] β: 0.48247 [0.33412251, 0.63082261] |
AUROC: 0.63378 [0.58989144, 0.67766932] | R²: 0.03702 [0.01608167, 0.06421945] | 0 | beta = log(or)/sd_pgs |
| PPM019238 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.8704 [1.77207759, 1.97418775] β: 0.62615 [0.57215264, 0.68015705] |
AUROC: 0.6725 [0.65793656, 0.68706996] | R²: 0.06214 [0.05189291, 0.07413997] | 0 | beta = log(or)/sd_pgs |
| PPM020015 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.33393 [1.28094638, 1.3890998] β: 0.28813 [0.24759916, 0.32865591] |
AUROC: 0.58064 [0.56883718, 0.59243732] | R²: 0.01224 [0.00905012, 0.0158579] | 0 | beta = log(or)/sd_pgs |
| PPM020017 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.37351 [1.09734382, 1.71919027] β: 0.31737 [0.09289255, 0.54185341] |
AUROC: 0.57062 [0.49087135, 0.65037199] | R²: 0.01113 [0.000312, 0.040902] | 0 | beta = log(or)/sd_pgs |
| PPM020018 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.1176 [1.05475987, 1.18418315] β: 0.11118 [0.05331313, 0.16905321] |
AUROC: 0.52923 [0.5116339, 0.54683125] | R²: 0.0019 [0.000371, 0.00466991] | 0 | beta = log(or)/sd_pgs |
| PPM020019 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.82399 [1.59169421, 2.09018269] β: 0.60103 [0.46479899, 0.73725147] |
AUROC: 0.65883 [0.61913538, 0.6985174] | R²: 0.05369 [0.03020613, 0.08591409] | 0 | beta = log(or)/sd_pgs |
| PPM020016 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.50841 [1.47749798, 1.53996605] β: 0.41106 [0.3903501, 0.43176037] |
AUROC: 0.61202 [0.60619063, 0.61785875] | R²: 0.02501 [0.02245787, 0.02749797] | 0 | beta = log(or)/sd_pgs |
| PPM019287 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.35075 [1.2938079, 1.41020626] β: 0.30066 [0.25758973, 0.34373598] |
AUROC: 0.57941 [0.5666597, 0.59215135] | R²: 0.01418 [0.01023193, 0.01900507] | 0 | beta = log(or)/sd_pgs |
| PPM019288 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.94603 [1.90231852, 1.99073726] β: 0.66579 [0.64307341, 0.68850505] |
AUROC: 0.67873 [0.67277732, 0.68467331] | R²: 0.06881 [0.06412546, 0.07367853] | 0 | beta = log(or)/sd_pgs |
| PPM019289 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.83801 [1.67998664, 2.01090769] β: 0.60869 [0.51878584, 0.69858621] |
AUROC: 0.66965 [0.64499602, 0.69430838] | R²: 0.05739 [0.04006869, 0.07674132] | 0 | beta = log(or)/sd_pgs |
| PPM019290 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.53922 [1.46791286, 1.61399308] β: 0.43128 [0.38384157, 0.47871128] |
AUROC: 0.61798 [0.60434303, 0.63161432] | R²: 0.0292 [0.02256932, 0.03644038] | 0 | beta = log(or)/sd_pgs |
| PPM019291 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.73594 [1.48902968, 2.02379137] β: 0.55155 [0.39812468, 0.70497267] |
AUROC: 0.6478 [0.60413485, 0.69145565] | R²: 0.04539 [0.0233246, 0.07450202] | 0 | beta = log(or)/sd_pgs |
| PPM019292 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.84612 [1.74826591, 1.94945659] β: 0.61309 [0.55862439, 0.66755066] |
AUROC: 0.66875 [0.65403523, 0.68346144] | R²: 0.05865 [0.04924178, 0.07070982] | 0 | beta = log(or)/sd_pgs |
| PPM020050 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.32987 [1.28121824, 1.38036919] β: 0.28508 [0.24781138, 0.32235099] |
AUROC: 0.58517 [0.5735, 0.59683621] | R²: 0.01384 [0.01026836, 0.01752212] | 0 | beta = log(or)/sd_pgs |
| PPM020051 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.49732 [1.46602685, 1.52927706] β: 0.40368 [0.38255592, 0.42479511] |
AUROC: 0.60802 [0.60210105, 0.6139434] | R²: 0.02326 [0.02088065, 0.0257906] | 0 | beta = log(or)/sd_pgs |
| PPM020052 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.28607 [1.08009867, 1.53131211] β: 0.25159 [0.0770524, 0.42612496] |
AUROC: 0.59832 [0.52394235, 0.67270553] | R²: 0.01158 [0.00106957, 0.04053787] | 0 | beta = log(or)/sd_pgs |
| PPM020053 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.18691 [1.12316952, 1.25426353] β: 0.17135 [0.11615461, 0.22654857] |
AUROC: 0.55861 [0.54216624, 0.57505125] | R²: 0.00494 [0.00224141, 0.008649] | 0 | beta = log(or)/sd_pgs |
| PPM020054 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.59047 [1.42931885, 1.76979456] β: 0.46403 [0.357198, 0.57086347] |
AUROC: 0.6696 [0.63218416, 0.70702386] | R²: 0.05578 [0.03219308, 0.08912121] | 0 | beta = log(or)/sd_pgs |
| PPM019281 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.37266 [1.31475201, 1.43311018] β: 0.31675 [0.27364806, 0.35984703] |
AUROC: 0.58423 [0.57151504, 0.59693644] | R²: 0.01572 [0.01144703, 0.0206319] | 0 | beta = log(or)/sd_pgs |
| PPM019282 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.95504 [1.91104715, 2.00004635] β: 0.67041 [0.64765134, 0.69317036] |
AUROC: 0.68013 [0.67419992, 0.68606655] | R²: 0.06951 [0.06473689, 0.07421464] | 0 | beta = log(or)/sd_pgs |
| PPM019283 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.88804 [1.72579599, 2.06553911] β: 0.63554 [0.54568839, 0.72539126] |
AUROC: 0.67769 [0.65323253, 0.70214214] | R²: 0.06269 [0.04522405, 0.0823871] | 0 | beta = log(or)/sd_pgs |
| PPM019284 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | β: 0.42927 [0.38184872, 0.47669506] OR: 1.53614 [1.46499045, 1.61074219] |
AUROC: 0.61822 [0.60458955, 0.63184308] | R²: 0.02892 [0.02253997, 0.03616631] | 0 | beta = log(or)/sd_pgs |
| PPM019285 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.72939 [1.48187459, 2.01823757] β: 0.54777 [0.3933079, 0.70222464] |
AUROC: 0.64845 [0.60401758, 0.69288196] | R²: 0.04418 [0.02133967, 0.07419211] | 0 | beta = log(or)/sd_pgs |
| PPM019286 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.8643 [1.76523033, 1.96893154] β: 0.62289 [0.56828118, 0.67749103] |
AUROC: 0.66977 [0.65505775, 0.68448936] | R²: 0.06022 [0.05064197, 0.07255608] | 0 | beta = log(or)/sd_pgs |
| PPM020055 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.46364 [1.40722648, 1.52232499] β: 0.38093 [0.34162073, 0.42023876] |
AUROC: 0.60294 [0.59126234, 0.6146234] | R²: 0.02295 [0.01792423, 0.02800557] | 0 | beta = log(or)/sd_pgs |
| PPM020056 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.61006 [1.57707721, 1.6437293] β: 0.47627 [0.45557327, 0.49696762] |
AUROC: 0.63039 [0.62463626, 0.63613412] | R²: 0.03371 [0.03082787, 0.03667513] | 0 | beta = log(or)/sd_pgs |
| PPM020057 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.91213 [1.49624529, 2.4436175] β: 0.64822 [0.40295883, 0.89347952] |
AUROC: 0.69067 [0.62429924, 0.75703169] | R²: 0.03819 [0.01668401, 0.0690534] | 0 | beta = log(or)/sd_pgs |
| PPM020058 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.4387 [1.3566017, 1.52577159] β: 0.36374 [0.30498282, 0.42250024] |
AUROC: 0.60312 [0.58631707, 0.61991468] | R²: 0.01973 [0.01358075, 0.02702473] | 0 | beta = log(or)/sd_pgs |
| PPM020059 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.11267 [1.86259241, 2.39632917] β: 0.74795 [0.62196928, 0.87393805] |
AUROC: 0.71102 [0.67560891, 0.74643625] | R²: 0.09939 [0.0673612, 0.13982338] | 0 | beta = log(or)/sd_pgs |
| PPM019252 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.98269 [1.93792696, 2.02848131] β: 0.68445 [0.66161882, 0.70728739] |
AUROC: 0.68464 [0.67874717, 0.6905373] | R²: 0.072 [0.06730218, 0.0770144] | 0 | beta = log(or)/sd_pgs |
| PPM019253 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.96487 [1.79443565, 2.15148758] β: 0.67543 [0.58469057, 0.7661595] |
AUROC: 0.68609 [0.6621402, 0.71004923] | R²: 0.06963 [0.05194957, 0.09014172] | 0 | beta = log(or)/sd_pgs |
| PPM019254 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.53961 [1.46795237, 1.61475975] β: 0.43153 [0.38386848, 0.47918619] |
AUROC: 0.61629 [0.6026057, 0.62997539] | R²: 0.02895 [0.02234833, 0.03618136] | 0 | beta = log(or)/sd_pgs |
| PPM019255 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.7204 [1.47508928, 2.00651675] β: 0.54256 [0.38871852, 0.69640026] |
AUROC: 0.64259 [0.59747381, 0.68771596] | R²: 0.0437 [0.02067683, 0.073914] | 0 | beta = log(or)/sd_pgs |
| PPM019256 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.95616 [1.85139121, 2.06685554] β: 0.67098 [0.61593736, 0.72602839] |
AUROC: 0.68274 [0.66821232, 0.69727153] | R²: 0.06887 [0.0582775, 0.08158032] | 0 | beta = log(or)/sd_pgs |
| PPM019251 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.37223 [1.31427216, 1.43274448] β: 0.31644 [0.27328302, 0.35959182] |
AUROC: 0.58458 [0.57191218, 0.59724852] | R²: 0.01565 [0.01132517, 0.02036671] | 0 | beta = log(or)/sd_pgs |
| PPM019215 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | β: 0.31196 [0.26881857, 0.35510787] OR: 1.3661 [1.30841773, 1.42633451] |
AUROC: 0.5841 [0.57134989, 0.59684775] | R²: 0.01522 [0.01107929, 0.02001683] | 0 | beta = log(or)/sd_pgs |
| PPM019216 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 2.00709 [1.96176588, 2.05345818] β: 0.69669 [0.67384503, 0.71952529] |
AUROC: 0.68746 [0.68158682, 0.69333034] | R²: 0.07463 [0.06986494, 0.07986579] | 0 | beta = log(or)/sd_pgs |
| PPM019217 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.946 [1.77718979, 2.13085165] β: 0.66578 [0.57503335, 0.75652173] |
AUROC: 0.68641 [0.66260609, 0.71022055] | R²: 0.06759 [0.05044678, 0.08786643] | 0 | beta = log(or)/sd_pgs |
| PPM019218 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.55477 [1.48236145, 1.63071918] β: 0.44133 [0.39363639, 0.48902113] |
AUROC: 0.61939 [0.60573135, 0.63303932] | R²: 0.03025 [0.02378047, 0.03760108] | 0 | beta = log(or)/sd_pgs |
| PPM019219 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.71999 [1.47511022, 2.0055147] β: 0.54232 [0.38873271, 0.69590074] |
AUROC: 0.6425 [0.59742729, 0.68757268] | R²: 0.0438 [0.02149854, 0.07523503] | 0 | beta = log(or)/sd_pgs |
| PPM019220 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.96885 [1.86342403, 2.08023967] β: 0.67745 [0.62241567, 0.73248311] |
AUROC: 0.68458 [0.67015772, 0.69899497] | R²: 0.07025 [0.05946809, 0.08300365] | 0 | beta = log(or)/sd_pgs |
| PPM020001 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.63972 [1.60628474, 1.67385776] β: 0.49453 [0.47392389, 0.515131] |
AUROC: 0.6351 [0.62933904, 0.64086446] | R²: 0.0367 [0.03357391, 0.04012387] | 0 | beta = log(or)/sd_pgs |
| PPM020002 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.9896 [1.59472086, 2.48224985] β: 0.68793 [0.46669871, 0.90916534] |
AUROC: 0.70565 [0.63333493, 0.77796963] | R²: 0.05367 [0.02290313, 0.09716264] | 0 | beta = log(or)/sd_pgs |
| PPM020003 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.54092 [1.45306104, 1.63408316] β: 0.43238 [0.37367239, 0.49108189] |
AUROC: 0.61952 [0.60270134, 0.636339] | R²: 0.02797 [0.0211408, 0.03646128] | 0 | beta = log(or)/sd_pgs |
| PPM020004 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.36914 [2.07577111, 2.70396438] β: 0.86253 [0.73033271, 0.99471898] |
AUROC: 0.72826 [0.69173398, 0.76478209] | R²: 0.122 [0.08216417, 0.16529108] | 0 | beta = log(or)/sd_pgs |
| PPM020000 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.55377 [1.4943584, 1.61555387] β: 0.44069 [0.40169695, 0.47967785] |
AUROC: 0.62089 [0.60918562, 0.63258519] | R²: 0.03138 [0.02545406, 0.03718143] | 0 | beta = log(or)/sd_pgs |
| PPM019257 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | β: 0.314 [0.27094623, 0.3570459] OR: 1.36888 [1.31120456, 1.42910147] |
AUROC: 0.58489 [0.57210995, 0.59766877] | R²: 0.01549 [0.01126134, 0.02041918] | 0 | beta = log(or)/sd_pgs |
| PPM019258 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 2.00653 [1.96129353, 2.05281389] β: 0.69641 [0.67360422, 0.71921148] |
AUROC: 0.6875 [0.68162312, 0.69338152] | R²: 0.07485 [0.07002551, 0.07988684] | 0 | beta = log(or)/sd_pgs |
| PPM019259 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.90388 [1.74000795, 2.08318936] β: 0.64389 [0.55388968, 0.73390007] |
AUROC: 0.68195 [0.6575792, 0.70632398] | R²: 0.06418 [0.04826446, 0.08480071] | 0 | beta = log(or)/sd_pgs |
| PPM019260 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.53763 [1.4663408, 1.61237934] β: 0.43024 [0.38277005, 0.47771094] |
AUROC: 0.61658 [0.60284816, 0.63032177] | R²: 0.02901 [0.02229249, 0.03588211] | 0 | beta = log(or)/sd_pgs |
| PPM019261 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.63845 [1.40628747, 1.90892925] β: 0.49375 [0.34095323, 0.64654248] |
AUROC: 0.63419 [0.59012677, 0.6782445] | R²: 0.03667 [0.01631785, 0.06339845] | 0 | beta = log(or)/sd_pgs |
| PPM019262 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.9624 [1.85716399, 2.07360018] β: 0.67417 [0.61905059, 0.72928631] |
AUROC: 0.68392 [0.669613, 0.69822212] | R²: 0.06945 [0.05902191, 0.08200647] | 0 | beta = log(or)/sd_pgs |
| PPM020035 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.52285 [1.46263457, 1.58555171] β: 0.42059 [0.38023931, 0.46093243] |
AUROC: 0.61325 [0.60161044, 0.62487979] | R²: 0.02644 [0.02106118, 0.03159975] | 0 | beta = log(or)/sd_pgs |
| PPM020036 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.6765 [1.64253856, 1.71116433] β: 0.51671 [0.49624295, 0.53717403] |
AUROC: 0.64169 [0.63597003, 0.64740127] | R²: 0.04068 [0.03737711, 0.04388012] | 0 | beta = log(or)/sd_pgs |
| PPM020037 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.16519 [1.63058972, 2.87505923] β: 0.77251 [0.48894174, 1.05607327] |
AUROC: 0.68659 [0.62306752, 0.75011928] | R²: 0.04033 [0.01968338, 0.06955001] | 0 | beta = log(or)/sd_pgs |
| PPM020038 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.52777 [1.44093306, 1.6198353] β: 0.42381 [0.36529086, 0.48232448] |
AUROC: 0.615 [0.59804531, 0.63195557] | R²: 0.02702 [0.01945086, 0.03541182] | 0 | beta = log(or)/sd_pgs |
| PPM020039 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.12896 [1.86473669, 2.4306247] β: 0.75563 [0.62311986, 0.8881483] |
AUROC: 0.71237 [0.67693105, 0.74780668] | R²: 0.09048 [0.06089994, 0.12628899] | 0 | beta = log(or)/sd_pgs |
| PPM019263 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.38476 [1.32636725, 1.44573387] β: 0.32553 [0.28244381, 0.36861706] |
AUROC: 0.58792 [0.57519349, 0.60064532] | R²: 0.01662 [0.01245031, 0.02165909] | 0 | beta = log(or)/sd_pgs |
| PPM019264 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 2.01137 [1.96597864, 2.05780277] β: 0.69881 [0.67599016, 0.72163879] |
AUROC: 0.68759 [0.68172593, 0.69345923] | R²: 0.07527 [0.07053194, 0.08027082] | 0 | beta = log(or)/sd_pgs |
| PPM019265 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.90373 [1.73869829, 2.08443466] β: 0.64382 [0.55313673, 0.73449767] |
AUROC: 0.6761 [0.65087661, 0.7013209] | R²: 0.06308 [0.04633231, 0.08351713] | 0 | beta = log(or)/sd_pgs |
| PPM019266 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.53272 [1.46162704, 1.60726438] β: 0.42704 [0.37955023, 0.47453359] |
AUROC: 0.61571 [0.60206481, 0.62935828] | R²: 0.02855 [0.02210331, 0.03562675] | 0 | beta = log(or)/sd_pgs |
| PPM019267 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.64423 [1.41112598, 1.91585079] β: 0.49727 [0.34438796, 0.6501618] |
AUROC: 0.63179 [0.58844221, 0.67513881] | R²: 0.03711 [0.01656446, 0.06453049] | 0 | beta = log(or)/sd_pgs |
| PPM019268 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.9918 [1.88516531, 2.1044766] β: 0.68904 [0.63401552, 0.74406679] |
AUROC: 0.68817 [0.673906, 0.70242438] | R²: 0.07284 [0.06218143, 0.08596691] | 0 | beta = log(or)/sd_pgs |
| PPM020030 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.50199 [1.44431953, 1.56196832] β: 0.40679 [0.36763829, 0.44594677] |
AUROC: 0.60873 [0.59700811, 0.62044991] | R²: 0.02641 [0.02099026, 0.03200156] | 0 | beta = log(or)/sd_pgs |
| PPM020031 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.61696 [1.5839576, 1.65065666] β: 0.48055 [0.45992653, 0.50117319] |
AUROC: 0.63145 [0.62565031, 0.63723984] | R²: 0.03458 [0.03148347, 0.03790002] | 0 | beta = log(or)/sd_pgs |
| PPM020032 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.0218 [1.62249081, 2.51937283] β: 0.70399 [0.48396251, 0.92400999] |
AUROC: 0.71409 [0.65011341, 0.77806995] | R²: 0.05539 [0.02757678, 0.09737164] | 0 | beta = log(or)/sd_pgs |
| PPM020033 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.60515 [1.51334744, 1.70252754] β: 0.47322 [0.41432404, 0.53211394] |
AUROC: 0.63076 [0.61433544, 0.64719353] | R²: 0.03332 [0.02538049, 0.04297958] | 0 | beta = log(or)/sd_pgs |
| PPM020034 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.22137 [1.95736288, 2.5209968] β: 0.79813 [0.6715981, 0.92465438] |
AUROC: 0.71931 [0.68214811, 0.75647815] | R²: 0.11294 [0.0751487, 0.15730633] | 0 | beta = log(or)/sd_pgs |
| PPM019275 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.33947 [1.28308976, 1.39832777] β: 0.29227 [0.24927105, 0.33527707] |
AUROC: 0.58008 [0.56735638, 0.59280726] | R²: 0.01344 [0.00970498, 0.01810135] | 0 | beta = log(or)/sd_pgs |
| PPM019276 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.93798 [1.89456032, 1.98240343] β: 0.66165 [0.63898679, 0.68430996] |
AUROC: 0.67953 [0.67361679, 0.6854426] | R²: 0.06822 [0.06357639, 0.07320471] | 0 | beta = log(or)/sd_pgs |
| PPM019277 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.81701 [1.66277049, 1.98556228] β: 0.59719 [0.50848518, 0.68590214] |
AUROC: 0.67259 [0.64830467, 0.69688308] | R²: 0.05668 [0.04059064, 0.07517712] | 0 | beta = log(or)/sd_pgs |
| PPM019278 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.52897 [1.45823629, 1.60314492] β: 0.4246 [0.37722769, 0.47196727] |
AUROC: 0.61659 [0.60309036, 0.63008776] | R²: 0.02835 [0.02170599, 0.03546033] | 0 | beta = log(or)/sd_pgs |
| PPM019279 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.64491 [1.41322114, 1.91457258] β: 0.49768 [0.3458716, 0.6494944] |
AUROC: 0.62997 [0.5852728, 0.67466127] | R²: 0.03767 [0.01709617, 0.06692123] | 0 | beta = log(or)/sd_pgs |
| PPM019280 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.87137 [1.77212268, 1.97616972] β: 0.62667 [0.57217808, 0.68116049] |
AUROC: 0.67221 [0.65768122, 0.68674124] | R²: 0.06119 [0.05135518, 0.07301252] | 0 | beta = log(or)/sd_pgs |
| PPM020045 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.43309 [1.37789918, 1.49048299] β: 0.35983 [0.32056001, 0.39910022] |
AUROC: 0.60175 [0.58999494, 0.61350437] | R²: 0.01993 [0.01570594, 0.02462764] | 0 | beta = log(or)/sd_pgs |
| PPM020046 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.64768 [1.61352054, 1.68256451] β: 0.49937 [0.47841846, 0.52031912] |
AUROC: 0.63372 [0.62788781, 0.63955506] | R²: 0.03632 [0.03309896, 0.03953108] | 0 | beta = log(or)/sd_pgs |
| PPM020047 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.45841 [1.19873228, 1.77432944] β: 0.37734 [0.18126456, 0.57342257] |
AUROC: 0.60742 [0.53398957, 0.68084175] | R²: 0.01948 [0.00432876, 0.05204534] | 0 | beta = log(or)/sd_pgs |
| PPM020048 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.30074 [1.2314019, 1.37398385] β: 0.26293 [0.20815328, 0.31771444] |
AUROC: 0.58564 [0.56934416, 0.60192786] | R²: 0.01181 [0.00719488, 0.01742899] | 0 | beta = log(or)/sd_pgs |
| PPM020049 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.88898 [1.67167849, 2.13453009] β: 0.63604 [0.5138282, 0.75824653] |
AUROC: 0.69466 [0.65809177, 0.73122596] | R²: 0.07313 [0.04487877, 0.10829372] | 0 | beta = log(or)/sd_pgs |
| PPM019269 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.33762 [1.28129037, 1.39641733] β: 0.29089 [0.24786767, 0.33390991] |
AUROC: 0.57906 [0.5663149, 0.59181474] | R²: 0.0133 [0.00924467, 0.01796079] | 0 | beta = log(or)/sd_pgs |
| PPM019270 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.9368 [1.89343656, 1.98116454] β: 0.66104 [0.63839347, 0.68368483] |
AUROC: 0.67991 [0.67398453, 0.68582889] | R²: 0.06817 [0.06347957, 0.0729841] | 0 | beta = log(or)/sd_pgs |
| PPM019271 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.81277 [1.65895008, 1.98084425] β: 0.59485 [0.50618492, 0.68352314] |
AUROC: 0.67352 [0.64927983, 0.69776871] | R²: 0.0563 [0.04082247, 0.07446669] | 0 | beta = log(or)/sd_pgs |
| PPM019272 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.53892 [1.4677344, 1.61355637] β: 0.43108 [0.38371999, 0.47844067] |
AUROC: 0.61754 [0.60401323, 0.63105699] | R²: 0.02925 [0.02268366, 0.03647445] | 0 | beta = log(or)/sd_pgs |
| PPM019273 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.64559 [1.41395937, 1.9151656] β: 0.4981 [0.34639384, 0.6498041] |
AUROC: 0.63172 [0.58645333, 0.67699185] | R²: 0.03776 [0.01691585, 0.06820305] | 0 | beta = log(or)/sd_pgs |
| PPM019274 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.86814 [1.7690958, 1.97272357] β: 0.62494 [0.57046857, 0.67941511] |
AUROC: 0.67174 [0.65719135, 0.68628632] | R²: 0.06087 [0.05110841, 0.07279818] | 0 | beta = log(or)/sd_pgs |
| PPM020040 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.39977 [1.34410643, 1.45773885] β: 0.33631 [0.29572943, 0.3768865] |
AUROC: 0.5924 [0.58070208, 0.60409508] | R²: 0.01668 [0.01284464, 0.02085219] | 0 | beta = log(or)/sd_pgs |
| PPM020041 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.43354 [1.40427497, 1.46341096] β: 0.36015 [0.33952114, 0.38076998] |
AUROC: 0.60119 [0.59539073, 0.60698337] | R²: 0.01933 [0.01709073, 0.021498] | 0 | beta = log(or)/sd_pgs |
| PPM020042 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.62378 [1.29975822, 2.02858217] β: 0.48476 [0.26217827, 0.70733711] |
AUROC: 0.64719 [0.57521551, 0.71916706] | R²: 0.0251 [0.00821845, 0.05577828] | 0 | beta = log(or)/sd_pgs |
| PPM020043 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.24983 [1.17898128, 1.32493323] β: 0.22301 [0.16465075, 0.28136206] |
AUROC: 0.56468 [0.54783481, 0.58151937] | R²: 0.0075 [0.00402557, 0.01180133] | 0 | beta = log(or)/sd_pgs |
| PPM020044 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.9189 [1.67929657, 2.19269289] β: 0.65175 [0.51837499, 0.78513042] |
AUROC: 0.67899 [0.6419829, 0.71598959] | R²: 0.06493 [0.04215202, 0.09455987] | 0 | beta = log(or)/sd_pgs |
| PPM019221 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.24143 [1.1890805, 1.29609272] β: 0.21627 [0.17318032, 0.25935414] |
AUROC: 0.5594 [0.54677346, 0.57202583] | R²: 0.00733 [0.00469672, 0.0109081] | 0 | beta = log(or)/sd_pgs |
| PPM019222 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.63002 [1.5935273, 1.66734777] β: 0.48859 [0.46594999, 0.5112342] |
AUROC: 0.63362 [0.62744469, 0.6398007] | R²: 0.03693 [0.03355769, 0.04010996] | 0 | beta = log(or)/sd_pgs |
| PPM019223 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.40101 [1.27954934, 1.53399308] β: 0.33719 [0.24650793, 0.42787419] |
AUROC: 0.59819 [0.57207878, 0.62430301] | R²: 0.01724 [0.00885621, 0.02813182] | 0 | beta = log(or)/sd_pgs |
| PPM019224 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.35946 [1.29634357, 1.42565477] β: 0.30709 [0.25954766, 0.35463119] |
AUROC: 0.58383 [0.57020148, 0.59746167] | R²: 0.01467 [0.01061932, 0.01963868] | 0 | beta = log(or)/sd_pgs |
| PPM019225 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.34635 [1.1581509, 1.56512439] β: 0.29739 [0.14682468, 0.4479653] |
AUROC: 0.58604 [0.54086552, 0.63121275] | R²: 0.01358 [0.00269662, 0.03118075] | 0 | beta = log(or)/sd_pgs |
| PPM019226 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.59062 [1.50586312, 1.68013891] β: 0.46412 [0.40936624, 0.51887647] |
AUROC: 0.63057 [0.61590234, 0.64524535] | R²: 0.03306 [0.02613847, 0.04105459] | 0 | beta = log(or)/sd_pgs |
| PPM020005 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.33056 [1.27927587, 1.3839026] β: 0.2856 [0.24629419, 0.32490748] |
AUROC: 0.57951 [0.56779004, 0.5912348] | R²: 0.01289 [0.00942678, 0.01683411] | 0 | beta = log(or)/sd_pgs |
| PPM020006 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.40296 [1.37512281, 1.43135987] β: 0.33858 [0.31854304, 0.35862495] |
AUROC: 0.59425 [0.58836034, 0.60013257] | R²: 0.01808 [0.01603989, 0.02043251] | 0 | beta = log(or)/sd_pgs |
| PPM020007 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.70576 [1.31671088, 2.20977427] β: 0.53401 [0.27513687, 0.79289037] |
AUROC: 0.65379 [0.59209129, 0.71549218] | R²: 0.02382 [0.00843075, 0.05003813] | 0 | beta = log(or)/sd_pgs |
| PPM020008 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.30274 [1.23029942, 1.37944872] β: 0.26447 [0.20725757, 0.32168394] |
AUROC: 0.57047 [0.55330355, 0.58764034] | R²: 0.01098 [0.00635806, 0.01667243] | 0 | beta = log(or)/sd_pgs |
| PPM020009 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.56663 [1.37347647, 1.78694216] β: 0.44893 [0.31734509, 0.58050587] |
AUROC: 0.62337 [0.58200096, 0.66473232] | R²: 0.03261 [0.0140955, 0.05548662] | 0 | beta = log(or)/sd_pgs |
| PPM019227 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.27323 [1.21967118, 1.32913813] β: 0.24156 [0.19858129, 0.28453071] |
AUROC: 0.56331 [0.55078741, 0.57583681] | R²: 0.00919 [0.00605824, 0.01293261] | 0 | beta = log(or)/sd_pgs |
| PPM019228 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.74769 [1.7086833, 1.78757882] β: 0.55829 [0.53572307, 0.58086209] |
AUROC: 0.65206 [0.64593495, 0.65819504] | R²: 0.0487 [0.0447597, 0.05267419] | 0 | beta = log(or)/sd_pgs |
| PPM019229 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.51461 [1.38410957, 1.65740608] β: 0.41516 [0.32505702, 0.50525378] |
AUROC: 0.61455 [0.58868772, 0.64040227] | R²: 0.02651 [0.01531252, 0.04035993] | 0 | beta = log(or)/sd_pgs |
| PPM019230 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | β: 0.32913 [0.28177285, 0.37649644] OR: 1.38976 [1.3254776, 1.45717036] |
AUROC: 0.59091 [0.57724581, 0.60456431] | R²: 0.017 [0.01225794, 0.02225752] | 0 | beta = log(or)/sd_pgs |
| PPM019231 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.49325 [1.28229316, 1.73891334] β: 0.40096 [0.24865001, 0.5532604] |
AUROC: 0.61834 [0.57623728, 0.66044754] | R²: 0.02428 [0.00997456, 0.04475176] | 0 | beta = log(or)/sd_pgs |
| PPM019232 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.68525 [1.59605776, 1.77941882] β: 0.52191 [0.46753669, 0.57628681] |
AUROC: 0.64794 [0.63308648, 0.66280321] | R²: 0.0425 [0.03444371, 0.05202666] | 0 | beta = log(or)/sd_pgs |
| PPM020010 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.34749 [1.29508225, 1.40201468] β: 0.29824 [0.25857421, 0.33791026] |
AUROC: 0.58105 [0.56930556, 0.59279972] | R²: 0.0138 [0.01033525, 0.01782333] | 0 | beta = log(or)/sd_pgs |
| PPM020011 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.43562 [1.40681814, 1.46501743] β: 0.3616 [0.34133052, 0.38186714] |
AUROC: 0.59988 [0.59403334, 0.60572738] | R²: 0.02017 [0.01796729, 0.0226397] | 0 | beta = log(or)/sd_pgs |
| PPM020012 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.54617 [1.19528898, 2.00006106] β: 0.43578 [0.17838798, 0.69317771] |
AUROC: 0.6263 [0.55995128, 0.69265647] | R²: 0.01611 [0.00346998, 0.03792919] | 0 | beta = log(or)/sd_pgs |
| PPM020013 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.33067 [1.25591817, 1.40986302] β: 0.28568 [0.22786692, 0.34349255] |
AUROC: 0.57616 [0.55915512, 0.59316854] | R²: 0.01255 [0.00747678, 0.01866845] | 0 | beta = log(or)/sd_pgs |
| PPM020014 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.49068 [1.30391606, 1.70419754] β: 0.39923 [0.26537209, 0.53309435] |
AUROC: 0.60812 [0.56762836, 0.64860873] | R²: 0.02494 [0.01039785, 0.04545545] | 0 | beta = log(or)/sd_pgs |
| PPM019245 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.33765 [1.28124872, 1.39652797] β: 0.29091 [0.24783517, 0.33398913] |
AUROC: 0.57881 [0.56619924, 0.59141916] | R²: 0.01327 [0.00951776, 0.01750544] | 0 | beta = log(or)/sd_pgs |
| PPM019247 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.8584 [1.69570378, 2.03671362] β: 0.61972 [0.52809786, 0.71133754] |
AUROC: 0.67037 [0.64541857, 0.69532926] | R²: 0.05737 [0.04034006, 0.0772097] | 0 | beta = log(or)/sd_pgs |
| PPM019248 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.53371 [1.46233061, 1.60856652] β: 0.42769 [0.38003147, 0.47534342] |
AUROC: 0.61478 [0.60105563, 0.62849573] | R²: 0.02843 [0.02204494, 0.03592548] | 0 | beta = log(or)/sd_pgs |
| PPM019249 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.68556 [1.44596698, 1.96485528] β: 0.5221 [0.36877829, 0.67541859] |
AUROC: 0.64539 [0.6020922, 0.68868922] | R²: 0.04075 [0.01870039, 0.06894677] | 0 | beta = log(or)/sd_pgs |
| PPM019250 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.91118 [1.80890361, 2.01924795] β: 0.64772 [0.59272092, 0.70272514] |
AUROC: 0.67763 [0.6631321, 0.69213434] | R²: 0.06425 [0.05393186, 0.07625535] | 0 | beta = log(or)/sd_pgs |
| PPM019246 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.982 [1.93724169, 2.02779924] β: 0.68411 [0.66126515, 0.70695109] |
AUROC: 0.68425 [0.67836828, 0.6901266] | R²: 0.0719 [0.06717405, 0.07701924] | 0 | beta = log(or)/sd_pgs |
| PPM020020 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.39911 [1.3453147, 1.45504863] β: 0.33583 [0.29662796, 0.37503932] |
AUROC: 0.5916 [0.57985369, 0.6033368] | R²: 0.01793 [0.01361181, 0.02247244] | 0 | beta = log(or)/sd_pgs |
| PPM020021 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.62873 [1.5962079, 1.66190947] β: 0.4878 [0.46763075, 0.50796722] |
AUROC: 0.63399 [0.62818932, 0.6397817] | R²: 0.03731 [0.0341354, 0.04065053] | 0 | beta = log(or)/sd_pgs |
| PPM020022 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.86907 [1.45549233, 2.40017231] β: 0.62544 [0.37534421, 0.87554053] |
AUROC: 0.67317 [0.61055743, 0.73578134] | R²: 0.03526 [0.01406596, 0.06823395] | 0 | beta = log(or)/sd_pgs |
| PPM020023 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.46527 [1.38341272, 1.55196664] β: 0.38204 [0.32455343, 0.43952293] |
AUROC: 0.60487 [0.58809209, 0.62164016] | R²: 0.02273 [0.01613462, 0.03055882] | 0 | beta = log(or)/sd_pgs |
| PPM020024 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.74045 [1.52359433, 1.98817059] β: 0.55414 [0.42107223, 0.68721491] |
AUROC: 0.66211 [0.62585476, 0.69836134] | R²: 0.04857 [0.02861608, 0.07522105] | 0 | beta = log(or)/sd_pgs |
| PPM019239 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.39728 [1.33826973, 1.45888609] β: 0.33453 [0.29137753, 0.37767319] |
AUROC: 0.58969 [0.57697326, 0.60241476] | R²: 0.0175 [0.01329075, 0.02253449] | 0 | beta = log(or)/sd_pgs |
| PPM019240 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 2.06398 [2.01727273, 2.11177148] β: 0.72464 [0.70174647, 0.74752716] |
AUROC: 0.69412 [0.68829262, 0.6999508] | R²: 0.08056 [0.07564214, 0.08580241] | 0 | beta = log(or)/sd_pgs |
| PPM019241 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.99477 [1.82406428, 2.18144982] β: 0.69053 [0.60106713, 0.77998971] |
AUROC: 0.69122 [0.66690515, 0.71553225] | R²: 0.07483 [0.05639993, 0.09713374] | 0 | beta = log(or)/sd_pgs |
| PPM019242 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.58122 [1.50767489, 1.65835467] β: 0.4582 [0.41056866, 0.50582595] |
AUROC: 0.62399 [0.61036586, 0.63760464] | R²: 0.03271 [0.02590824, 0.04030889] | 0 | beta = log(or)/sd_pgs |
| PPM019243 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.76291 [1.51418004, 2.05249596] β: 0.56697 [0.41487407, 0.7190566] |
AUROC: 0.64947 [0.60535278, 0.6935909] | R²: 0.04891 [0.02333466, 0.08167925] | 0 | beta = log(or)/sd_pgs |
| PPM019244 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 2.04212 [1.93274157, 2.15769853] β: 0.71399 [0.6589395, 0.76904216] |
AUROC: 0.69465 [0.68039548, 0.70890783] | R²: 0.07817 [0.06721383, 0.0918883] | 0 | beta = log(or)/sd_pgs |
| PPM020025 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.64114 [1.57821035, 1.70658848] β: 0.49539 [0.45629151, 0.53449634] |
AUROC: 0.63353 [0.62188573, 0.645168] | R²: 0.03944 [0.03314538, 0.04625298] | 0 | beta = log(or)/sd_pgs |
| PPM020026 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.75402 [1.71840512, 1.79036854] β: 0.56191 [0.5413966, 0.58242149] |
AUROC: 0.65279 [0.64709296, 0.6584935] | R²: 0.04802 [0.0444714, 0.05161881] | 0 | beta = log(or)/sd_pgs |
| PPM020027 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.39078 [1.89563819, 3.0152594] β: 0.87162 [0.63955556, 1.10368586] |
AUROC: 0.74329 [0.67891271, 0.80767425] | R²: 0.07939 [0.04017912, 0.13128156] | 0 | beta = log(or)/sd_pgs |
| PPM020028 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.6676 [1.57316173, 1.76770414] β: 0.51138 [0.45308744, 0.56968161] |
AUROC: 0.64052 [0.62389168, 0.65713902] | R²: 0.03977 [0.03083288, 0.04944259] | 0 | beta = log(or)/sd_pgs |
| PPM020029 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.46183 [2.16199209, 2.8032592] β: 0.90091 [0.77103006, 1.03078274] |
AUROC: 0.74695 [0.71319269, 0.78070209] | R²: 0.13759 [0.09865689, 0.18374268] | 0 | beta = log(or)/sd_pgs |
| PPM020320 | PGS004253 (uc_ldpred2) |
PSS011334| European Ancestry| 21,335 individuals |
PGP000545 | Middha P et al. Nat Commun (2024) |
Reported Trait: Ulcerative colitis | OR: 1.75 [1.59, 1.92] | AUROC: 0.65 [0.62, 0.68] | — | age, sex, 10 PCs | — |
| PPM020319 | PGS004253 (uc_ldpred2) |
PSS011335| European Ancestry| 5,735 individuals |
PGP000545 | Middha P et al. Nat Commun (2024) |
Reported Trait: Ulcerative colitis | OR: 1.84 [1.76, 1.93] | AUROC: 0.66 [0.64, 0.68] | — | age at diagnosis/enrollment, sex, genotyping array, 10 PCs | — |
| PPM020321 | PGS004254 (cd_ldpred2) |
PSS011333| European Ancestry| 5,285 individuals |
PGP000545 | Middha P et al. Nat Commun (2024) |
Reported Trait: Crohn's disease | OR: 1.83 [1.72, 1.95] | AUROC: 0.72 [0.69, 0.74] | — | age at diagnosis/enrollment, sex, genotyping array, 10 PCs | — |
| PPM020322 | PGS004254 (cd_ldpred2) |
PSS011332| European Ancestry| 22,296 individuals |
PGP000545 | Middha P et al. Nat Commun (2024) |
Reported Trait: Crohn's disease | OR: 2.18 [2.05, 2.32] | AUROC: 0.72 [0.7, 0.73] | — | age, sex, 10 PCs | — |
| PPM020323 | PGS004255 (GenoBoost_rheumatoid_arthritis_0) |
PSS011342| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66209 | Covariate-adjusted pseudo-R2: 0.01285 AUPRC: 0.04621 |
age, sex, PC1-10 | — |
| PPM020324 | PGS004256 (GenoBoost_rheumatoid_arthritis_1) |
PSS011342| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66212 | Covariate-adjusted pseudo-R2: 0.01305 AUPRC: 0.04649 |
age, sex, PC1-10 | — |
| PPM020325 | PGS004257 (GenoBoost_rheumatoid_arthritis_2) |
PSS011342| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66087 | AUPRC: 0.04561 Covariate-adjusted pseudo-R2: 0.01191 |
age, sex, PC1-10 | — |
| PPM020326 | PGS004258 (GenoBoost_rheumatoid_arthritis_3) |
PSS011342| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.6639 | Covariate-adjusted pseudo-R2: 0.01382 AUPRC: 0.04737 |
age, sex, PC1-10 | — |
| PPM020327 | PGS004259 (GenoBoost_rheumatoid_arthritis_4) |
PSS011342| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66128 | Covariate-adjusted pseudo-R2: 0.01258 AUPRC: 0.04632 |
age, sex, PC1-10 | — |
| PPM020338 | PGS004270 (GenoBoost_inflammatory_bowel_disease_0) |
PSS011341| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.57093 | Covariate-adjusted pseudo-R2: 0.00624 AUPRC: 0.01652 |
age, sex, PC1-10 | — |
| PPM020339 | PGS004271 (GenoBoost_inflammatory_bowel_disease_1) |
PSS011341| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.57758 | Covariate-adjusted pseudo-R2: 0.00673 AUPRC: 0.01694 |
age, sex, PC1-10 | — |
| PPM020340 | PGS004272 (GenoBoost_inflammatory_bowel_disease_2) |
PSS011341| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.58326 | Covariate-adjusted pseudo-R2: 0.00796 AUPRC: 0.0168 |
age, sex, PC1-10 | — |
| PPM020341 | PGS004273 (GenoBoost_inflammatory_bowel_disease_3) |
PSS011341| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.58873 | Covariate-adjusted pseudo-R2: 0.00874 AUPRC: 0.01624 |
age, sex, PC1-10 | — |
| PPM020342 | PGS004274 (GenoBoost_inflammatory_bowel_disease_4) |
PSS011341| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.5879 | Covariate-adjusted pseudo-R2: 0.00872 AUPRC: 0.01705 |
age, sex, PC1-10 | — |
| PPM020440 | PGS004326 (PRS154_RA) |
PSS011363| European Ancestry| 342,973 individuals |
PGP000560 | Zhang J et al. Environ Health Perspect (2023) |
Reported Trait: Incident rheumatoid arthritis | HR: 1.22 [1.17, 1.27] | — | — | age, sex, UK Biobank assessment center, household income, education level, smoking status, body mass index, alcohol consumption, sedentary time, physical activity duration, healthy diet score, first 10 genetic principal components, and genotyping batch. | — |
| PPM020441 | PGS004326 (PRS154_RA) |
PSS011363| European Ancestry| 342,973 individuals |
PGP000560 | Zhang J et al. Environ Health Perspect (2023) |
Reported Trait: Incident rheumatoid arthritis with air pollution | — | — | Hazard ratio (HR, high air pollution and PRS in top tertile vs low air pollution and PRS in bottom tertile): 1.73 [1.39, 2.17] | age, sex, UK Biobank assessment center, household income, education level, smoking status, body mass index, alcohol consumption, sedentary time, physical activity duration, healthy diet score, first 10 genetic principal components, and genotyping batch. | — |
| PPM020918 | PGS004699 (Non-HLA-GRS) |
PSS011453| Multi-ancestry (including European)| 483,480 individuals |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.752 [0.75, 0.755] | — | Age at recruitment, sex, Townsend Deprivation Index, 4 PCs | NOTE: Performance is based on an unweighted sum of Non-HLA-GRS and HLA-GRS |
| PPM020919 | PGS004699 (Non-HLA-GRS) |
PSS011452| Multi-ancestry (including European)| 116,767 individuals |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.744 | — | Index age, reported sex, 4 PCs | NOTE: Performance is based on an unweighted sum of Non-HLA-GRS and HLA-GRS |
| PPM020920 | PGS004699 (Non-HLA-GRS) |
PSS011451| Ancestry Not Reported| 372,416 individuals |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.764 | — | Age at DNA sample collection, sex, 4 PCs | NOTE: Performance is based on an unweighted sum of Non-HLA-GRS and HLA-GRS |
| PPM020921 | PGS004699 (Non-HLA-GRS) |
PSS011454| Multi-ancestry (including European)| 545 individuals |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Reported Trait: Multiple sclerosis in individuals with undifferentiated optic neuritis | HR: 1.29 [1.07, 1.55] | — | — | Age, sex | NOTE: Performance is based on an unweighted sum of Non-HLA-GRS and HLA-GRS |
| PPM020922 | PGS004700 (HLA-GRS) |
PSS011453| Multi-ancestry (including European)| 483,480 individuals |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.752 [0.75, 0.755] | — | Age at recruitment, sex, Townsend Deprivation Index, 4 PCs | NOTE: Performance is based on an unweighted sum of Non-HLA-GRS and HLA-GRS |
| PPM020923 | PGS004700 (HLA-GRS) |
PSS011452| Multi-ancestry (including European)| 116,767 individuals |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.744 | — | Index age, reported sex, 4 PCs | NOTE: Performance is based on an unweighted sum of Non-HLA-GRS and HLA-GRS |
| PPM020924 | PGS004700 (HLA-GRS) |
PSS011451| Ancestry Not Reported| 372,416 individuals |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.764 | — | Age at DNA sample collection, sex, 4 PCs | NOTE: Performance is based on an unweighted sum of Non-HLA-GRS and HLA-GRS |
| PPM020925 | PGS004700 (HLA-GRS) |
PSS011454| Multi-ancestry (including European)| 545 individuals |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Reported Trait: Multiple sclerosis in individuals with undifferentiated optic neuritis | HR: 1.29 [1.07, 1.55] | — | — | Age, sex | NOTE: Performance is based on an unweighted sum of Non-HLA-GRS and HLA-GRS |
| PPM021042 | PGS004817 (RA_PRSmix_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Rheumatoid Arthritis | — | — | Incremental R2 (Full model versus model with only covariates): 0.008 [0.004, 0.012] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021043 | PGS004818 (RA_PRSmix_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Rheumatoid Arthritis | — | — | Incremental R2 (Full model versus model with only covariates): 0.008 [0.005, 0.012] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021044 | PGS004819 (RA_PRSmixPlus_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Rheumatoid Arthritis | — | — | Incremental R2 (Full model versus model with only covariates): 0.011 [0.007, 0.015] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021045 | PGS004820 (RA_PRSmixPlus_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Rheumatoid Arthritis | — | — | Incremental R2 (Full model versus model with only covariates): 0.009 [0.005, 0.013] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021165 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011635| European Ancestry| 447,332 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 1.87 [1.76, 1.99] | — | — | PCs 1-10 | — |
| PPM021166 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011634| European Ancestry| 37,986 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 2.16 [1.96, 2.37] | C-index: 0.71 [0.68, 0.74] | — | PCs 1-10 | — |
| PPM021167 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011633| European Ancestry| 69,715 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 1.59 [1.49, 1.68] | C-index: 0.64 [0.62, 0.66] | — | PCs 1-10 | — |
| PPM021168 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011632| European Ancestry| 29,427 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 2.27 [1.81, 2.84] | C-index: 0.73 [0.66, 0.8] | — | PCs 1-10 | — |
| PPM021169 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011630| European Ancestry| 44,188 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 2.13 [1.65, 2.75] | — | — | PCs 1-10 | — |
| PPM021170 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011631| European Ancestry| 7,018 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 1.83 [1.14, 2.93] | C-index: 0.85 [0.77, 0.92] | — | PCs 1-10 | — |
| PPM021171 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011629| European Ancestry| 412,090 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 1.65 [1.62, 1.69] | C-index: 0.65 [0.65, 0.66] | — | PCs 1-10 | — |
| PPM021172 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011628| European Ancestry| 199,868 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 1.43 [1.38, 1.49] | C-index: 0.61 [0.6, 0.62] | — | PCs 1-10 | — |
| PPM021188 | PGS004876 (INTERVENE_MegaPRS_Appendicitis) |
PSS011551| European Ancestry| 38,191 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Appendicitis | HR: 1.04 [0.96, 1.14] | C-index: 0.58 [0.55, 0.61] | — | PCs 1-10 | — |
| PPM021189 | PGS004876 (INTERVENE_MegaPRS_Appendicitis) |
PSS011550| European Ancestry| 69,715 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Appendicitis | HR: 1.07 [1.02, 1.12] | C-index: 0.54 [0.53, 0.56] | — | PCs 1-10 | — |
| PPM021190 | PGS004876 (INTERVENE_MegaPRS_Appendicitis) |
PSS011549| European Ancestry| 29,427 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Appendicitis | HR: 1.1 [1.01, 1.19] | C-index: 0.56 [0.53, 0.58] | — | PCs 1-10 | — |
| PPM021191 | PGS004876 (INTERVENE_MegaPRS_Appendicitis) |
PSS011547| European Ancestry| 44,188 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Appendicitis | HR: 1.06 [0.97, 1.16] | — | — | PCs 1-10 | — |
| PPM021192 | PGS004876 (INTERVENE_MegaPRS_Appendicitis) |
PSS011548| European Ancestry| 7,018 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Appendicitis | HR: 1.1 [1.01, 1.2] | C-index: 0.57 [0.54, 0.59] | — | PCs 1-10 | — |
| PPM021193 | PGS004876 (INTERVENE_MegaPRS_Appendicitis) |
PSS011546| European Ancestry| 412,090 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Appendicitis | HR: 1.07 [1.06, 1.08] | C-index: 0.53 [0.52, 0.53] | — | PCs 1-10 | — |
| PPM021194 | PGS004876 (INTERVENE_MegaPRS_Appendicitis) |
PSS011545| European Ancestry| 199,868 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Appendicitis | HR: 1.05 [1.03, 1.07] | C-index: 0.54 [0.53, 0.54] | — | PCs 1-10 | — |
| PPM021383 | PGS004917 (wGRS) |
PSS011718| Multi-ancestry (including European)| 3,945 individuals |
PGP000648 | Cui J et al. Arthritis Rheumatol (2020) |
Reported Trait: Systemic lupus erythematosus | OR: 2.01 [1.83, 2.22] β: 0.7 (0.05) |
AUROC: 0.696 | — | — | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS008658 | — | — | 5,477 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS004173 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004174 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004175 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004176 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004177 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004183 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004185 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004186 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004187 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004188 | — | — | [
|
— | African unspecified | — | UKB | — |
| 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 | — |
| PSS009588 | — | — | [
|
— | European | — | BV | — |
| PSS004190 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004191 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004193 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004706 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004707 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004708 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004709 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004710 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004194 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004195 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004196 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004197 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008183 | — | — | 6,094 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011451 | — | — | [
|
— | Not reported | — | FinnGen | — |
| PSS011452 | — | — | [
|
— | European | — | MyCode | — |
| PSS011452 | — | — | [
|
— | Not reported | — | MyCode | — |
| PSS011453 | — | — | [
|
— | European | — | UKB | — |
| PSS011453 | — | — | [
|
— | Not reported | — | UKB | — |
| PSS011454 | — | — | 462 individuals | — | European | — | UKB | — |
| PSS011454 | — | — | 83 individuals | — | Not reported | — | UKB | — |
| PSS009882 | — | — | [
|
— | European | — | KP | — |
| PSS009883 | — | — | [
|
— | European | — | UKB | — |
| PSS000016 | Inflammatory bowel disease ascertainment was based on report in an interview with a trained nurse, or an ICD-9 code of 555.X or ICD-10 code of K51.X in hospitalization records. | — | [
|
— | European | — | UKB | UKB Phase 2 |
| PSS007708 | — | — | [
|
— | European | — | UKB | — |
| PSS004228 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004229 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004230 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004231 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004232 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004741 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004742 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS000993 | All individuals had systemic lupus erythematosus. Cases are individuals that also have renal disease | — | [
|
— | European | — | NR | — |
| PSS000994 | All individuals had systemic lupus erythematosus. Cases are individuals that also have renal disease | — | [
|
— | European | — | NR | Cases and controls obtained by SLEGEN. |
| PSS004743 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004744 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004745 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008167 | — | — | 5,954 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008212 | — | — | 5,337 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011220 | — | — | [
|
— | European | — | EB | — |
| PSS011222 | — | — | [
|
— | European | — | EB | — |
| PSS011231 | K11_IBD_STRICT, ICD10: K50|K51, ICD9: 555|556 | — | [
|
— | European | — | FinnGen | — |
| PSS000429 | JIA diagnosis was made according to International League of Associations for Rheumatology standards (PMID:14760812) from EHR. Control subjects were unrelated and disease-free children. | — | [ ,
51.46 % Male samples |
— | European | — | CHOP | — |
| PSS000430 | JIA diagnosis was made according to International League of Associations for Rheumatology standards (PMID:14760812) from EHR. Control subjects were unrelated and disease-free children. | — | [ ,
49.19 % Male samples |
— | European | — | CHOP | — |
| PSS000431 | JIA diagnosis was made according to International League of Associations for Rheumatology standards (PMID:14760812) from EHR. Control subjects were unrelated and disease-free children. | — | [ ,
50.11 % Male samples |
— | European | — | CHOP | — |
| PSS000432 | Diagnosis of JIA by a paediatric rheumatologist. | — | [ ,
58.59 % Male samples |
— | European | — | CLARITY | Cohort description (PMID): 23153063 |
| PSS000433 | Diagnosis of JIA by a paediatric rheumatologist. | — | [ ,
51.15 % Male samples |
— | European | — | CLARITY | Cohort description (PMID): 23153063 |
| PSS000434 | Diagnosis of JIA by a paediatric rheumatologist. | — | [ ,
54.82 % Male samples |
— | European | — | CLARITY | Cohort description (PMID): 23153063 |
| PSS011233 | RHEUMA_SEROPOS_OTH, ICD10: M05[8-9], ICD9: 7140A | — | [
|
— | European | — | FinnGen | — |
| PSS000436 | The discovery cohort included 1001 patients from the University clinics in Uppsala, Linköping, Karolinska Institute (Stockholm), Lund, and from the four northern-most counties in Sweden. All subjects fulfilled ≥4 ACR-82 classification criteria for SLE and were of European descent.30 Clinical data were collected from the patients’ medical files, including SDI scores, the ACR-82 classification criteria, clinical antiphospholipid syndrome (APS) diagnosis, glomerular filtration rate, chronic kidney disease (CKD) stages, ESRD, renal biopsy data and CVE, defined as myocardial infarction, ischaemic cerebrovascular disease or venous thromboembolism (VTE). Control individuals were healthy blood donors from Uppsala (Uppsala Bioresource) and Lund or population based controls from Stockholm and the four northernmost counties of Sweden. | — | [
|
— | European | — | Karolinska, UHU | The discovery cohort included 1001 patients from the University clinics in Uppsala, Linköping, Karolinska Institute (Stockholm), Lund, and from the four northern-most counties in Sweden |
| PSS000437 | The discovery cohort included 1001 patients from the University clinics in Uppsala, Linköping, Karolinska Institute (Stockholm), Lund, and from the four northern-most counties in Sweden. All subjects fulfilled ≥4 ACR-82 classification criteria for SLE and were of European descent.30 Clinical data were collected from the patients’ medical files, including SDI scores, the ACR-82 classification criteria, clinical antiphospholipid syndrome (APS) diagnosis, glomerular filtration rate, chronic kidney disease (CKD) stages, ESRD, renal biopsy data and CVE, defined as myocardial infarction, ischaemic cerebrovascular disease or venous thromboembolism (VTE). | — | [
|
— | European | — | Karolinska, UHU | The discovery cohort included 1001 patients from the University clinics in Uppsala, Linköping, Karolinska Institute (Stockholm), Lund, and from the four northern-most counties in Sweden |
| PSS000438 | — | — | [
|
— | European | — | NR | The replication cohort is described in Langefeld et al. (PMID:28714469) |
| PSS008680 | — | — | 6,241 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008234 | — | — | 5,728 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008235 | — | — | 5,671 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011244 | — | — | [
|
— | South Asian | — | G&H | — |
| PSS008681 | — | — | 6,216 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS011246 | — | — | [
|
— | South Asian | — | G&H | — |
| PSS000179 | JIA diagnosis was made according to International League of Associations for Rheumatology standards (PMID:14760812) from EHR. Control subjects were unrelated and disease-free children. | — | [ ,
47.5 % Male samples |
— | European | — | CHOP | — |
| PSS000180 | Diagnosis of JIA by a paediatric rheumatologist. | — | [ ,
48.9 % Male samples |
— | European | — | CLARITY | Cohort description (PMID): 23153063 |
| PSS007735 | — | — | 2,410 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS004273 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004274 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004275 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004276 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS011260 | — | — | [
|
— | European | — | HUNT | — |
| PSS011262 | — | — | [
|
— | European | — | HUNT | — |
| PSS009285 | — | — | 19,108 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS007749 | — | — | 2,390 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS011273 | — | — | [
|
— | European | — | UKB | — |
| PSS011275 | — | — | [
|
— | European | — | UKB | — |
| PSS009301 | — | — | 19,299 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011288 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS011551 | — | — | [
|
— | European | — | MGBB | — |
| PSS011465 | — | — | 9,462 individuals | — | European | — | AllofUs | — |
| PSS007777 | — | — | 2,105 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS011474 | — | — | 8,837 individuals | — | South Asian | — | G&H | — |
| PSS009927 | — | — | [
|
— | European, East Asian, African unspecified, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian) | — | BBJ | Average Cohort Size. Overlaps GWAS Cohorts; however performance metrics are derived using a leave-one-cohort-out cross-validation to minimize overlap |
| PSS000312 | Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 8.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000313 | Setting III: Based on ICD codes and final diagnosis in medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 7.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000314 | Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 8.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000315 | Setting III: Based on ICD codes and final diagnosis in medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 7.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS009930 | — | — | [
|
— | European | — | NR | Average Cohort Size. Overlaps GWAS Cohorts; however performance metrics are derived using a leave-one-cohort-out cross-validation to minimize overlap |
| PSS009330 | — | — | 16,188 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS000318 | Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 8.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000319 | Setting III: Based on ICD codes and final diagnosis in medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 7.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS009929 | — | — | [
|
— | East Asian | — | BBJ | Average Cohort Size. Overlaps GWAS Cohorts; however performance metrics are derived using a leave-one-cohort-out cross-validation to minimize overlap |
| PSS000321 | Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases | Median = 16.0 years | [ ,
43.0 % Male samples |
— | European, African unspecified, Asian unspecified, NR | Primarily European, African and Asian ancestry | eMERGE | — |
| PSS000322 | Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases | Median = 16.0 years | [ ,
43.0 % Male samples |
— | European, African unspecified, Asian unspecified, NR | Primarily European, African and Asian ancestry | eMERGE | — |
| PSS007799 | — | — | 2,277 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS000324 | Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases | Median = 16.0 years | [ ,
43.0 % Male samples |
— | European, African unspecified, Asian unspecified, NR | Primarily European, African and Asian ancestry | eMERGE | — |
| PSS011341 | — | — | [ ,
46.0 % Male samples |
— | European (White British) |
— | UKB | — |
| PSS004339 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004340 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004341 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004342 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004343 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008838 | — | — | 3,836 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS009352 | — | — | 18,393 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009353 | — | — | 18,262 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011342 | — | — | [ ,
46.0 % Male samples |
— | European (White British) |
— | UKB | — |
| PSS000490 | Cases included physician-confirmed psoriatic arthritis (PsA). Controls inclded individuals with psoriasis with no history of joint symptoms (psoriasis only - PsO). | — | [
|
— | NR | — | NR | — |
| PSS008853 | — | — | 3,790 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS011762 | — | — | 8,417 individuals | — | European | — | BBofA | — |
| PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |
| PSS008881 | — | — | 3,465 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008389 | — | — | 1,143 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008903 | — | — | 3,634 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS001027 | Cases were individuals with systemic lupus erythematosus (SLE). All cases were carefully recruited regarding the criteria from the American College of Rheumatology (ACR). Controls included healthy individuals and individuals who had unrelated diseases including: breast cancer, periodontitis, tuberculosis, drug-induced liver injury, epileptic encephalopathy, dengue hemorrhagic fever, thalassemia, and cardiomyopathy. | — | [ ,
40.31 % Male samples |
— | South East Asian (Thai) |
— | NR | Cases were recruited from King Chulalongkorn Memorial Hospital and the Rheumatology clinic at Ramathbodi hospital. Control data was provided by the Department of Medical Science, Min- istry of Public Health, Thailand. |
| PSS008403 | — | — | 1,164 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS000907 | Cases are individuals with vitiligo. Diagnoses of vitiligo in multiplex-affected subjects and reportedly unaffected family members were verified by manual review of all available phenotype information for each subject. | — | [
|
— | European | — | NR | — |
| PSS004437 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004438 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004439 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004440 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004441 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004442 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS010115 | — | — | [
|
— | East Asian (Taiwanese) |
— | NR | TPMI |
| PSS004444 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004445 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004446 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS011334 | — | — | [
|
— | European | — | BioVU | — |
| PSS011335 | — | — | [
|
— | European | — | UKB | — |
| PSS008432 | — | — | 1,007 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS001034 | Cases were individuals with cutaneous lupus erythematosus. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | BioVU | — |
| PSS001035 | Cases were individuals with systemic lupus erythematosus. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | BioVU | — |
| PSS001036 | Cases were individuals with type 1 diabetes. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for type 1 diabetes include: 250.1. Of all the type 1 diabetes cases, 276 had renal manifestations, 240 had ophthalmic manifestations and 475 had neurological manifestations | — | [
|
— | European | — | BioVU | — |
| PSS001037 | Cases were individuals with erythematosus conditions. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | BioVU | — |
| PSS001038 | Cases were individuals with lupus (localised and systemic). Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | BioVU | — |
| PSS001039 | Cases were individuals with cutaneous lupus erythematosus. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | eMERGE | — |
| PSS001040 | Cases were individuals with systemic lupus erythematosus. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | eMERGE | — |
| PSS001041 | Cases were individuals with type 1 diabetes. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for type 1 diabetes include: 250.1. Of the type 1 diabetes cases 165 had renal manifestations, 230 had ophthalmic manifestations and 218 had neurological manifestations. | — | [
|
— | European | — | eMERGE | — |
| PSS001042 | Cases were individuals with erythematosus conditions. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | eMERGE | — |
| PSS001043 | Cases were individuals with lupus (localised and systemic). Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits.For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record.Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | eMERGE | — |
| PSS009928 | — | — | [
|
— | African unspecified, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian) | — | NR | Average Cohort Size. Overlaps GWAS Cohorts; however performance metrics are derived using a leave-one-cohort-out cross-validation to minimize overlap |
| PSS011545 | — | — | [
|
— | European | — | EB | — |
| PSS011546 | — | — | [
|
— | European | — | FinnGen | — |
| PSS011547 | — | — | [
|
— | European | — | G&H | — |
| PSS011548 | — | — | [
|
— | European | — | GS:SFHS | — |
| PSS011549 | — | — | [
|
— | European | — | GEL | — |
| PSS011550 | — | — | [
|
— | European | — | HUNT | — |
| PSS008454 | — | — | 1,128 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008455 | — | — | 1,124 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS011186 | — | — | [
|
— | European | — | BioVU | — |
| PSS011186 | — | — | [
|
— | African unspecified | — | BioVU | — |
| PSS011186 | — | — | [
|
— | Asian unspecified | — | BioVU | — |
| PSS011186 | — | — | [
|
— | Not reported | — | BioVU | — |
| PSS011188 | — | — | [
|
— | European | — | BioVU | — |
| PSS011187 | — | — | [
|
— | African unspecified | — | BioVU | — |
| PSS004486 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004487 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004488 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004489 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004490 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004491 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004492 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004493 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004494 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS001049 | Cases are individuals with multiple sclerosis. | — | [
|
— | European | Mainland Scotland | GS:SFHS | — |
| PSS001050 | Cases are individuals with multiple sclerosis. | — | [
|
— | European | Orkney | ORCADES | — |
| PSS001051 | Cases are individuals with multiple sclerosis. | — | [
|
— | European | Shetlands | VIKING | — |
| PSS004495 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007954 | — | — | 1,754 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS009691 | — | — | 6,503 individuals | — | African unspecified | — | UKB | — |
| PSS009692 | — | — | 922 individuals | — | East Asian | — | UKB | — |
| PSS009693 | — | — | 43,505 individuals | — | European | Non-British European | UKB | — |
| PSS009694 | — | — | 8,098 individuals | — | South Asian | — | UKB | — |
| PSS011363 | ICD10: M05, M06 | Median = 8.1 years | [ ,
46.58 % Male samples |
Mean = 57.0 years Sd = 7.9 years |
European | — | UKB | — |
| PSS010968 | — | — | [
|
— | European | — | NR | GCAT |
| PSS010969 | — | — | [
|
— | European | — | NR | GCAT |
| PSS010974 | — | — | [
|
— | European | — | NR | GCAT |
| PSS010977 | — | — | 4,987 individuals | — | European | — | NR | GCAT |
| PSS004526 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004527 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004528 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004529 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004530 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007994 | — | — | 1,630 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008014 | — | — | 1,754 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS011628 | — | — | [
|
— | European | — | EB | — |
| PSS011629 | — | — | [
|
— | European | — | FinnGen | — |
| PSS011630 | — | — | [
|
— | European | — | G&H | — |
| PSS011631 | — | — | [
|
— | European | — | GS:SFHS | — |
| PSS011632 | — | — | [
|
— | European | — | GEL | — |
| PSS011633 | — | — | [
|
— | European | — | HUNT | — |
| PSS011634 | — | — | [
|
— | European | — | MGBB | — |
| PSS011635 | — | — | [
|
— | European | — | UKB | — |
| PSS004565 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004566 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004567 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004568 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004569 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009059 | — | — | 3,938 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS000960 | Cases were individuals with systemic lupus erythematosus. | — | [
|
— | European | — | NR | — |
| PSS000961 | Cases were individuals with systemic lupus erythematosus. | — | [
|
— | European | — | NR | — |
| PSS000962 | Cases were individuals with systemic lupus erythematosus. | — | [
|
— | European | — | NR | — |
| PSS000963 | Cases were individuals with systemic lupus erythematosus. | — | [
|
— | East Asian (Han Chinese) |
— | NR | — |
| PSS009075 | — | — | 4,011 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS011006 | — | — | 1,655 individuals, 8.4 % Male samples |
Mean = 38.1 years Sd = 12.5 years |
East Asian (Korean) |
— | NR | — |
| PSS011332 | — | — | [
|
— | European | — | BioVU | — |
| PSS011333 | — | — | [
|
— | European | — | UKB | — |
| PSS000970 | — | Median = 400.0 days | 1,584 individuals | — | European | — | GNEHGI2020Q2 | — |
| PSS004099 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004100 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004101 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004102 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004103 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009104 | — | — | 3,520 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS011718 | Those indicating having received a new systemic lupus erythematosus diagnosis were asked to complete the Connective Tissue Disease Screening Question- naire (12) and to consent to the release of their medical records. Released medical records of all nurses who indicated experi- encing systemic lupus erythematosus symptoms on this questionnaire were independently reviewed by 3 board-certified rheumatologists (EWK, JAS, and KHC). Cases of systemic lupus erythematosus were identified based on the presence of at least 4 criteria from the American College of Rheumatology (ACR) 1997 updated criteria for the classification of SLE and also based on reviewers' consensus. | — | [ ,
0.0 % Male samples |
— | European, Not reported | European (98%) | NHS, NHS2 | — |
| PSS011718 | All patients diagnosed as having systemic lupus erythematosus in the PHB and included in this study met at least 4 of the 11 ACR 1997 updated classification criteria for systemic lupus erythematosus . Cases were identified as those individuals previously included in the Brigham and Women's Hospital Lupus Registry or those with ≥3 Interna- tional Classification of Diseases, Ninth Revision (ICD-9)/ICD-10 codes for systemic lupus erythematosus , each noted ≥30 days apart, followed by medical record review to identify the presence of any of the ACR 1997 criteria for systemic lupus erythematosus. | — | [ ,
9.7 % Male samples |
— | European, Asian unspecified, African unspecified, Not reported | European (68.1%), Asian (4.9%), African (14.2%), Not reported (12.8%) | PHB | — |
| PSS004192 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004114 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004115 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004116 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004117 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004119 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004120 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004121 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004122 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004123 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004118 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004637 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS008613 | — | — | 6,381 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS004639 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004640 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004641 | — | — | [
|
— | 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 | — |
| PSS008629 | — | — | 6,463 individuals | — | European | Italy (South Europe) | UKB | — |