| Trait Information | |
| Identifier | MONDO_0007179 |
| Description | A disorder resulting from loss of function or tissue destruction of an organ or multiple organs, arising from humoral or cellular immune responses of the individual to their own tissue constituents. It may be systemic (e.g., systemic lupus erythematosus), or organ specific, (e.g., thyroiditis). [NCIT: C2889] | Trait category |
Other trait
|
| Synonyms |
6 synonyms
|
| Child trait(s) |
15 child traits
|
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000021 (GRS1) |
PGP000011 | Oram RA et al. Diabetes Care (2015) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 33 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000021/ScoringFiles/PGS000021.txt.gz | |
| PGS000022 (T1D_GRS) |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 37 | - - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000022/ScoringFiles/PGS000022.txt.gz |
| PGS000023 (AA_GRS) |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 7 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000023/ScoringFiles/PGS000023.txt.gz |
| PGS000024 (GRS2) |
PGP000014 | Sharp SA et al. Diabetes Care (2019) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 85 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000024/ScoringFiles/PGS000024.txt.gz |
| PGS000040 (GRS_CeD) |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Coeliac disease | celiac disease | 228 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000040/ScoringFiles/PGS000040.txt.gz |
| PGS000041 (GRS-DQ2.5-CeD) |
PGP000029 | Abraham G et al. Genome Med (2015) |
Coeliac disease | celiac disease | 2,513 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000041/ScoringFiles/PGS000041.txt.gz |
| PGS000042 (GRS-DQ2.5-CeD-imputed) |
PGP000029 | Abraham G et al. Genome Med (2015) |
Coeliac disease | celiac disease | 3,317 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000042/ScoringFiles/PGS000042.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 |
| PGS000316 (GRS42_Coeliac) |
PGP000093 | Sharp SA et al. Aliment Pharmacol Ther (2020) |
Coeliac disease | celiac disease | 53 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000316/ScoringFiles/PGS000316.txt.gz | |
| PGS000328 (GRS_SLE) |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Systemic lupus erythematosus | systemic lupus erythematosus | 57 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000328/ScoringFiles/PGS000328.txt.gz |
| PGS000341 (GRS33_SSc) |
PGP000110 | Bossini-Castillo L et al. Ann Rheum Dis (2020) |
Systemic sclerosis | systemic sclerosis | 33 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000341/ScoringFiles/PGS000341.txt.gz | |
| PGS000342 (wGRS_PsA) |
PGP000111 | Smith MP et al. J Psoriasis Psoriatic Arthritis (2020) |
Psoriatic arthritis | psoriatic arthritis | 11 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000342/ScoringFiles/PGS000342.txt.gz |
| PGS000343 (wGRS_PsA_HLA) |
PGP000111 | Smith MP et al. J Psoriasis Psoriatic Arthritis (2020) |
Psoriatic arthritis | psoriatic arthritis | 5 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000343/ScoringFiles/PGS000343.txt.gz |
| 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 |
| PGS000833 (T1D) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 66 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000833/ScoringFiles/PGS000833.txt.gz |
| PGS000869 (T1D_48) |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 48 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000869/ScoringFiles/PGS000869.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 |
| PGS001296 (GBE_HC648) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Insulin-dependent diabetes mellitus (time-to-event) | type 1 diabetes mellitus | 356 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001296/ScoringFiles/PGS001296.txt.gz |
| PGS001297 (GBE_HC337) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 69 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001297/ScoringFiles/PGS001297.txt.gz |
| PGS001300 (GBE_BIN21068) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Celiac disease or gluten sensitivity, diagnosed | celiac disease | 9 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001300/ScoringFiles/PGS001300.txt.gz |
| PGS001301 (GBE_HC303) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Malabsorption/coeliac disease | celiac disease | 428 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001301/ScoringFiles/PGS001301.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 |
| 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 |
| PGS001817 (portability-PLR_250.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 825 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001817/ScoringFiles/PGS001817.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 |
| PGS001856 (portability-PLR_557.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Celiac disease | celiac disease | 1,661 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001856/ScoringFiles/PGS001856.txt.gz |
| PGS001870 (portability-PLR_695.4) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Lupus (localized and systemic) | lupus erythematosus | 87 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001870/ScoringFiles/PGS001870.txt.gz |
| 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 |
| PGS001894 (portability-PLR_celiac_gluten) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Diagnosed with coeliac disease or gluten sensitivity | celiac disease | 484 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001894/ScoringFiles/PGS001894.txt.gz |
| PGS002025 (portability-ldpred2_250.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 106,800 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002025/ScoringFiles/PGS002025.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 |
| PGS002067 (portability-ldpred2_557.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Celiac disease | celiac disease | 58,231 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002067/ScoringFiles/PGS002067.txt.gz |
| PGS002082 (portability-ldpred2_695.4) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Lupus (localized and systemic) | lupus erythematosus | 361,553 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002082/ScoringFiles/PGS002082.txt.gz |
| 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 |
| PGS002107 (portability-ldpred2_celiac_gluten) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Diagnosed with coeliac disease or gluten sensitivity | celiac disease | 39,066 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002107/ScoringFiles/PGS002107.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 |
| PGS003749 (ModelT1D_under25) |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 6,612 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003749/ScoringFiles/PGS003749.txt.gz | |
| PGS003750 (ModelT1D) |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 7,835 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003750/ScoringFiles/PGS003750.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 |
| PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 63,182 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003993/ScoringFiles/PGS003993.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 | |
| PGS004009 (lassosum.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 4,031 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004009/ScoringFiles/PGS004009.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 | |
| PGS004020 (lassosum.CV.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 6,682 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004020/ScoringFiles/PGS004020.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 | |
| PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 56,562 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004035/ScoringFiles/PGS004035.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 | |
| PGS004063 (megaprs.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 56,288 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004063/ScoringFiles/PGS004063.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 | |
| PGS004078 (megaprs.CV.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 56,288 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004078/ScoringFiles/PGS004078.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 | |
| PGS004093 (prscs.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 61,651 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004093/ScoringFiles/PGS004093.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 | |
| PGS004102 (prscs.CV.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 61,651 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004102/ScoringFiles/PGS004102.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 | |
| PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 131 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004117/ScoringFiles/PGS004117.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 | |
| PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 354 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004132/ScoringFiles/PGS004132.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 | |
| PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 45,996 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004147/ScoringFiles/PGS004147.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 | |
| PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 62,645 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004162/ScoringFiles/PGS004162.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 | |
| PGS004171 (t1d_1) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 520 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004171/ScoringFiles/PGS004171.txt.gz |
| PGS004172 (t1d_2) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 70 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004172/ScoringFiles/PGS004172.txt.gz |
| PGS004173 (t1d_3) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 295 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004173/ScoringFiles/PGS004173.txt.gz |
| PGS004174 (t1d_4) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 49 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004174/ScoringFiles/PGS004174.txt.gz |
| PGS004175 (t1d_5) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 315 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004175/ScoringFiles/PGS004175.txt.gz |
| PGS004255 (GenoBoost_rheumatoid_arthritis_0) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 30 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004255/ScoringFiles/PGS004255.txt.gz |
| PGS004256 (GenoBoost_rheumatoid_arthritis_1) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004256/ScoringFiles/PGS004256.txt.gz |
| PGS004257 (GenoBoost_rheumatoid_arthritis_2) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004257/ScoringFiles/PGS004257.txt.gz |
| PGS004258 (GenoBoost_rheumatoid_arthritis_3) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004258/ScoringFiles/PGS004258.txt.gz |
| PGS004259 (GenoBoost_rheumatoid_arthritis_4) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004259/ScoringFiles/PGS004259.txt.gz |
| PGS004326 (PRS154_RA) |
PGP000560 | Zhang J et al. Environ Health Perspect (2023) |
Rheumatoid arthritis | rheumatoid arthritis | 154 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004326/ScoringFiles/PGS004326.txt.gz |
| 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 | |
| PGS004874 (INTERVENE_MegaPRS_T1D) |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 56,916 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004874/ScoringFiles/PGS004874.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 |
| PGS004930 (celiac_disease_snpnet_combined) |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |
Celiac disease | celiac disease | 463 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004930/ScoringFiles/PGS004930.txt.gz |
| PGS005264 (graves_disease_mixed_pt) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Graves' disease | Graves disease | 112 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005264/ScoringFiles/PGS005264.txt.gz |
| PGS005265 (graves_disease_mixed_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Graves' disease | Graves disease | 1,085,173 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005265/ScoringFiles/PGS005265.txt.gz |
| PGS005266 (graves_disease_eur_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Graves' disease | Graves disease | 1,085,170 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005266/ScoringFiles/PGS005266.txt.gz |
| PGS005270 (lymphocytic_thyroiditis_mixed_pt) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Lymphocytic thyroiditis | Hashimoto thyroiditis | 55 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005270/ScoringFiles/PGS005270.txt.gz |
| PGS005271 (lymphocytic_thyroiditis_mixed_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Lymphocytic thyroiditis | Hashimoto thyroiditis | 1,085,156 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005271/ScoringFiles/PGS005271.txt.gz |
| PGS005272 (lymphocytic_thyroiditis_eur_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Lymphocytic thyroiditis | Hashimoto thyroiditis | 1,085,142 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005272/ScoringFiles/PGS005272.txt.gz |
| PGS005398 (T1D_PRS_combined) |
PGP000781 | Qu HQ et al. Diabetes Res Clin Pract (2026) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 645,391 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005398/ScoringFiles/PGS005398.txt.gz |
| PGS005399 (T1D_PRS_male) |
PGP000781 | Qu HQ et al. Diabetes Res Clin Pract (2026) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 264,227 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005399/ScoringFiles/PGS005399.txt.gz |
| PGS005400 (T1D_PRS_female) |
PGP000781 | Qu HQ et al. Diabetes Res Clin Pract (2026) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 128,279 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005400/ScoringFiles/PGS005400.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 |
|---|---|---|---|---|---|---|---|---|---|
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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] | — | — |
| 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] | — | — |
| PPM000093 | PGS000040 (GRS_CeD) |
PSS000059| European Ancestry| 2,476 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.9 | — | — | — |
| PPM000094 | PGS000040 (GRS_CeD) |
PSS000061| European Ancestry| 1,040 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.87 | — | — | — |
| PPM000095 | PGS000040 (GRS_CeD) |
PSS000062| European Ancestry| 1,649 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.86 | — | — | — |
| PPM000096 | PGS000040 (GRS_CeD) |
PSS000063| European Ancestry| 2,200 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.87 | — | — | — |
| PPM000097 | PGS000040 (GRS_CeD) |
PSS000060| European Ancestry| 10,304 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.87 | — | — | — |
| PPM000098 | PGS000040 (GRS_CeD) |
PSS000064| European Ancestry| 1,696 individuals |
PGP000029 | Abraham G et al. Genome Med (2015) |Ext. |
Reported Trait: Coeliac disease | — | AUROC: 0.831 [0.808, 0.85] | — | — | — |
| PPM000099 | PGS000040 (GRS_CeD) |
PSS000065| European Ancestry| 1,237 individuals |
PGP000029 | Abraham G et al. Genome Med (2015) |Ext. |
Reported Trait: Coeliac disease in HLA-DQ2.5 carriers | — | AUROC: 0.669 [0.625, 0.713] | — | — | — |
| PPM000100 | PGS000041 (GRS-DQ2.5-CeD) |
PSS000065| European Ancestry| 1,237 individuals |
PGP000029 | Abraham G et al. Genome Med (2015) |
Reported Trait: Coeliac disease in HLA-DQ2.5 carriers | — | AUROC: 0.718 [0.676, 0.761] | — | — | — |
| PPM000101 | PGS000042 (GRS-DQ2.5-CeD-imputed) |
PSS000065| European Ancestry| 1,237 individuals |
PGP000029 | Abraham G et al. Genome Med (2015) |
Reported Trait: Coeliac disease in HLA-DQ2.5 carriers | — | AUROC: 0.73 [0.687, 0.772] | — | — | — |
| PPM000132 | PGS000021 (GRS1) |
PSS000083| European Ancestry| 2,768 individuals |
PGP000038 | Patel KA et al. Diabetes (2016) |Ext. |
Reported Trait: Type 1 diabetes aetiology (non-monogenic) | — | AUROC: 0.87 [0.86, 0.89] | — | — | Testing the ability of the GRS to discriminate between two sets of cases: - Positive: individuals with type 1 diabetes - Negative: individuals with diabetes and a maturity-onset diabetes of young (MODY) mutation |
| PPM000042 | PGS000022 (T1D_GRS) |
PSS000029| European Ancestry| 1,447 individuals |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.8508 | — | — | AUROCs are reported with respect to unrelated-control samples |
| PPM000043 | PGS000022 (T1D_GRS) |
PSS000028| Hispanic or Latin American Ancestry| 252 individuals |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.9003 | — | — | AUROCs are reported with respect to unrelated-control samples |
| PPM000044 | PGS000022 (T1D_GRS) |
PSS000027| African Ancestry| 299 individuals |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.7522 | — | — | AUROCs are reported with respect to unrelated-control samples |
| PPM000045 | PGS000023 (AA_GRS) |
PSS000030| African Ancestry| 3,949 individuals |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.87 | — | — | NOTE: Evaluated using cross-validation on training samples (20% heldout, 1000 iterations) |
| 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] | — | — |
| PPM000041 | PGS000021 (GRS1) |
PSS000026| European Ancestry| 223 individuals |
PGP000011 | Oram RA et al. Diabetes Care (2015) |
Reported Trait: Severe insulin deficiency | — | AUROC: 0.96 [0.94, 0.99] | AUROC (without covariates): 0.87 | islet auto-antibody status, body mass index (BMI), age at diagnosis | — |
| PPM000046 | PGS000021 (GRS1) |
PSS000030| African Ancestry| 3,949 individuals |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.798 | — | — | — |
| PPM000047 | PGS000023 (AA_GRS) |
PSS000031| African Ancestry| 145 individuals |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.779 | — | — | — |
| PPM000048 | PGS000024 (GRS2) |
PSS000032| European Ancestry| 374,000 individuals |
PGP000014 | Sharp SA et al. Diabetes Care (2019) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.921 | Youden index: 0.698 | — | — |
| PPM000049 | PGS000021 (GRS1) |
PSS000032| European Ancestry| 374,000 individuals |
PGP000014 | Sharp SA et al. Diabetes Care (2019) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.893 | — | — | — |
| PPM000970 | PGS000341 (GRS33_SSc) |
PSS000489| European Ancestry| 339 individuals |
PGP000110 | Bossini-Castillo L et al. Ann Rheum Dis (2020) |
Reported Trait: Systemic sclerosis | — | AUROC: 0.787 [0.73, 0.84] | — | Systemic sclerosis status, age and immune cell counts of: memory B cells, resting NK cells, M0 macrophages and activated dendritic cells | *Some overlap with score development and testing samples |
| PPM000969 | PGS000341 (GRS33_SSc) |
PSS000489| European Ancestry| 339 individuals |
PGP000110 | Bossini-Castillo L et al. Ann Rheum Dis (2020) |
Reported Trait: Systemic sclerosis | — | AUROC: 0.722 | — | Systemic sclerosis status and immune cell counts of: memory B cells, resting NK cells, M0 macrophages and activated dendritic cells | *Some overlap with score development and testing samples |
| PPM000968 | PGS000341 (GRS33_SSc) |
PSS000489| European Ancestry| 339 individuals |
PGP000110 | Bossini-Castillo L et al. Ann Rheum Dis (2020) |
Reported Trait: Systemic sclerosis | — | AUROC: 0.644 | — | — | *Some overlap with score development and testing samples |
| 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] | — | — | — |
| 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] | — | — | — |
| PPM000753 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (5 years horizon time; landmark age 2 years) | — | AUROC: 0.93 | — | autoantibodies, family history | — |
| PPM000754 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (8 years horizon time; landmark age 2 years) | — | AUROC: 0.87 | — | autoantibodies, family history | — |
| PPM000755 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (5 years horizon time; landmark age 4 years) | — | AUROC: 0.96 | — | autoantibodies, family history | — |
| PPM000751 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (1 year horizon time; landmark age 2 years) | — | AUROC: 0.96 | — | autoantibodies, family history | — |
| PPM002243 | PGS000833 (T1D) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.39 [1.25, 1.54] | — | — | PC1-10 | — |
| 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] | — | — |
| PPM000752 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (3 years horizon time; landmark age 2 years) | — | AUROC: 0.94 | — | autoantibodies, family history | — |
| PPM000805 | PGS000316 (GRS42_Coeliac) |
PSS000381| Ancestry Not Reported| 154 individuals |
PGP000093 | Sharp SA et al. Aliment Pharmacol Ther (2020) |
Reported Trait: Coeliac disease | — | AUROC: 0.835 [0.76, 0.911] | — | — | — |
| 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 | — | — | — |
| PPM000804 | PGS000316 (GRS42_Coeliac) |
PSS000382| European Ancestry| 379,767 individuals |
PGP000093 | Sharp SA et al. Aliment Pharmacol Ther (2020) |
Reported Trait: Coeliac disease | — | AUROC: 0.879 [0.87, 0.888] | — | — | — |
| 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] | — | — |
| PPM000750 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (by age 8; landmark age 2 years) | — | AUROC: 0.73 [0.7, 0.77] | — | — | — |
| 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] | — | — |
| 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 | — |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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 | — | — | — |
| 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 |
| 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 |
| 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 |
| 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) | — |
| 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 | — | — | — |
| PPM002246 | PGS000833 (T1D) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.04 [0.97, 1.11] | — | — | PC1-10 | — |
| PPM002247 | PGS000833 (T1D) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.02 [0.97, 1.07] | — | — | PC1-10 | — |
| PPM002249 | PGS000024 (GRS2) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.0 [0.93, 1.07] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002250 | PGS000024 (GRS2) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.0 [0.93, 1.07] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002251 | PGS000024 (GRS2) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.01 [0.95, 1.08] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002252 | PGS000024 (GRS2) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Moderate Age-Related Diabetes | OR: 0.99 [0.94, 1.04] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002414 | PGS000869 (T1D_48) |
PSS001092| Ancestry Not Reported| 5,740 individuals |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |
Reported Trait: Cystic-fibrosis related diabetes | HR: 1.077 | — | — | PCs(1-4), site of recruitment | — |
| PPM002244 | PGS000833 (T1D) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.01 [0.94, 1.08] | — | — | PC1-10 | — |
| PPM002245 | PGS000833 (T1D) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.03 [0.96, 1.11] | — | — | PC1-10 | — |
| PPM002248 | PGS000024 (GRS2) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Severe Autoimmune Diabetes | OR: 2.55 [2.28, 2.86] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| 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 |
| 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 |
| PPM008978 | PGS001296 (GBE_HC648) |
PSS004570| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.66885 [0.62172, 0.71599] | R²: 0.04054 Incremental AUROC (full-covars): -0.01128 PGS R2 (no covariates): 0.00021 PGS AUROC (no covariates): 0.51906 [0.4689, 0.56923] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008979 | PGS001296 (GBE_HC648) |
PSS004571| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.89264 [0.80447, 0.98081] | R²: 0.19006 Incremental AUROC (full-covars): -0.01413 PGS R2 (no covariates): 0.00422 PGS AUROC (no covariates): 0.43531 [0.15162, 0.71901] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008980 | PGS001296 (GBE_HC648) |
PSS004572| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.70536 [0.66494, 0.74577] | R²: 0.0607 Incremental AUROC (full-covars): 0.12077 PGS R2 (no covariates): 0.05496 PGS AUROC (no covariates): 0.68941 [0.64672, 0.73209] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008981 | PGS001296 (GBE_HC648) |
PSS004573| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.67679 [0.6379, 0.71568] | R²: 0.04266 Incremental AUROC (full-covars): -0.01593 PGS R2 (no covariates): 0.0016 PGS AUROC (no covariates): 0.54249 [0.49552, 0.58946] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008982 | PGS001296 (GBE_HC648) |
PSS004574| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.65986 [0.63673, 0.68299] | R²: 0.03385 Incremental AUROC (full-covars): 0.06785 PGS R2 (no covariates): 0.02496 PGS AUROC (no covariates): 0.62694 [0.60131, 0.65256] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008983 | PGS001297 (GBE_HC337) |
PSS004457| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.78146 [0.64554, 0.91738] | R²: 0.08635 Incremental AUROC (full-covars): -0.05504 PGS R2 (no covariates): 0.00185 PGS AUROC (no covariates): 0.41884 [0.19064, 0.64704] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008984 | PGS001297 (GBE_HC337) |
PSS004458| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.79737 [0.708, 0.88674] | R²: 0.11683 Incremental AUROC (full-covars): 0.09636 PGS R2 (no covariates): 0.0912 PGS AUROC (no covariates): 0.77118 [0.67108, 0.87128] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008985 | PGS001297 (GBE_HC337) |
PSS004459| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.81031 [0.66359, 0.95703] | R²: 0.06825 Incremental AUROC (full-covars): -0.01908 PGS R2 (no covariates): 6e-05 PGS AUROC (no covariates): 0.53853 [0.37761, 0.69945] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008986 | PGS001297 (GBE_HC337) |
PSS004460| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.7643 [0.7041, 0.8245] | R²: 0.06625 Incremental AUROC (full-covars): 0.19149 PGS R2 (no covariates): 0.06103 PGS AUROC (no covariates): 0.76543 [0.70744, 0.82342] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008997 | PGS001300 (GBE_BIN21068) |
PSS003667| African Ancestry| 969 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | AUROC: 0.77521 [0.67165, 0.87877] | R²: 0.10494 Incremental AUROC (full-covars): 0.00391 PGS R2 (no covariates): 0.00465 PGS AUROC (no covariates): 0.54048 [0.39518, 0.68579] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008998 | PGS001300 (GBE_BIN21068) |
PSS003668| European Ancestry| 9,024 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | AUROC: 0.67118 [0.63561, 0.70676] | R²: 0.04801 Incremental AUROC (full-covars): 0.03638 PGS R2 (no covariates): 0.02217 PGS AUROC (no covariates): 0.58541 [0.54195, 0.62888] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008999 | PGS001300 (GBE_BIN21068) |
PSS003669| South Asian Ancestry| 1,145 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | AUROC: 0.78803 [0.69728, 0.87878] | R²: 0.09336 Incremental AUROC (full-covars): 0.00365 PGS R2 (no covariates): 0.00127 PGS AUROC (no covariates): 0.56184 [0.43287, 0.6908] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009000 | PGS001300 (GBE_BIN21068) |
PSS003670| European Ancestry| 24,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | AUROC: 0.6734 [0.64935, 0.69745] | R²: 0.04185 Incremental AUROC (full-covars): 0.08398 PGS R2 (no covariates): 0.02957 PGS AUROC (no covariates): 0.62888 [0.60094, 0.65683] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009001 | PGS001301 (GBE_HC303) |
PSS004423| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Malabsorption/coeliac disease | — | AUROC: 0.84259 [0.73437, 0.95081] | R²: 0.12308 Incremental AUROC (full-covars): 0.02463 PGS R2 (no covariates): 0.03018 PGS AUROC (no covariates): 0.68151 [0.48835, 0.87467] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009002 | PGS001301 (GBE_HC303) |
PSS004424| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Malabsorption/coeliac disease | — | AUROC: 0.81472 [0.7798, 0.84965] | R²: 0.15108 Incremental AUROC (full-covars): 0.1791 PGS R2 (no covariates): 0.14221 PGS AUROC (no covariates): 0.80994 [0.77441, 0.84547] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009003 | PGS001301 (GBE_HC303) |
PSS004425| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Malabsorption/coeliac disease | — | AUROC: 0.81699 [0.73267, 0.9013] | R²: 0.11397 Incremental AUROC (full-covars): 0.06035 PGS R2 (no covariates): 0.07098 PGS AUROC (no covariates): 0.76239 [0.65258, 0.87221] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009004 | PGS001301 (GBE_HC303) |
PSS004426| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Malabsorption/coeliac disease | — | AUROC: 0.83351 [0.81372, 0.85329] | R²: 0.14905 Incremental AUROC (full-covars): 0.25775 PGS R2 (no covariates): 0.14224 PGS AUROC (no covariates): 0.82867 [0.80826, 0.84908] |
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 |
| PPM011712 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS009390| European Ancestry| 7,142 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0964 [0.0733, 0.1193] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009436 | PGS001817 (portability-PLR_250.1) |
PSS009287| European Ancestry| 18,975 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0752 [0.061, 0.0893] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009437 | PGS001817 (portability-PLR_250.1) |
PSS009061| European Ancestry| 3,954 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0684 [0.0372, 0.0994] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009438 | PGS001817 (portability-PLR_250.1) |
PSS008615| European Ancestry| 6,300 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0739 [0.0493, 0.0985] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009439 | PGS001817 (portability-PLR_250.1) |
PSS008391| Greater Middle Eastern Ancestry| 1,107 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0349 [-0.0246, 0.0941] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009440 | PGS001817 (portability-PLR_250.1) |
PSS008169| South Asian Ancestry| 5,228 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0224 [-0.0047, 0.0496] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009441 | PGS001817 (portability-PLR_250.1) |
PSS007956| East Asian Ancestry| 1,729 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0001 [-0.0475, 0.0474] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009442 | PGS001817 (portability-PLR_250.1) |
PSS007737| African Ancestry| 2,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0006 [-0.0426, 0.0414] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009443 | PGS001817 (portability-PLR_250.1) |
PSS008840| African Ancestry| 3,490 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0187 [-0.052, 0.0146] | 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 | — |
| PPM009738 | PGS001856 (portability-PLR_557.1) |
PSS009331| European Ancestry| 16,106 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.1196 [0.1043, 0.1348] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009739 | PGS001856 (portability-PLR_557.1) |
PSS009105| European Ancestry| 3,509 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0779 [0.0448, 0.1108] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009740 | PGS001856 (portability-PLR_557.1) |
PSS008659| European Ancestry| 5,445 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.097 [0.0706, 0.1233] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009741 | PGS001856 (portability-PLR_557.1) |
PSS008433| Greater Middle Eastern Ancestry| 998 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0652 [0.0025, 0.1273] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009742 | PGS001856 (portability-PLR_557.1) |
PSS008213| South Asian Ancestry| 5,277 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0535 [0.0265, 0.0805] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009743 | PGS001856 (portability-PLR_557.1) |
PSS007778| African Ancestry| 2,091 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0261 [-0.017, 0.0691] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009744 | PGS001856 (portability-PLR_557.1) |
PSS008882| African Ancestry| 3,455 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.028 [-0.0054, 0.0614] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009849 | PGS001870 (portability-PLR_695.4) |
PSS009346| European Ancestry| 19,585 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.0184 [0.0043, 0.0324] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009850 | PGS001870 (portability-PLR_695.4) |
PSS009120| European Ancestry| 4,047 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.021 [-0.0099, 0.0518] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009851 | PGS001870 (portability-PLR_695.4) |
PSS008674| European Ancestry| 6,535 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0073 [-0.0315, 0.017] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009852 | PGS001870 (portability-PLR_695.4) |
PSS008448| Greater Middle Eastern Ancestry| 1,184 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0184 [-0.0757, 0.0391] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009854 | PGS001870 (portability-PLR_695.4) |
PSS008009| East Asian Ancestry| 1,785 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.0023 [-0.0444, 0.0489] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009855 | PGS001870 (portability-PLR_695.4) |
PSS007793| African Ancestry| 2,428 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0163 [-0.0562, 0.0236] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009856 | PGS001870 (portability-PLR_695.4) |
PSS008897| African Ancestry| 3,872 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0061 [-0.0377, 0.0255] | sex, age, birth date, deprivation index, 16 PCs | — |
| 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 | — |
| 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 | — |
| PPM010037 | PGS001894 (portability-PLR_celiac_gluten) |
PSS009164| European Ancestry| 1,354 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0796 [0.026, 0.1327] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010038 | PGS001894 (portability-PLR_celiac_gluten) |
PSS008718| European Ancestry| 2,442 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0358 [-0.0041, 0.0755] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010039 | PGS001894 (portability-PLR_celiac_gluten) |
PSS008492| Greater Middle Eastern Ancestry| 208 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0295 [-0.1141, 0.1719] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010040 | PGS001894 (portability-PLR_celiac_gluten) |
PSS008270| South Asian Ancestry| 908 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0219 [-0.0439, 0.0876] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010041 | PGS001894 (portability-PLR_celiac_gluten) |
PSS007834| African Ancestry| 400 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): -0.0127 [-0.1132, 0.088] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010042 | PGS001894 (portability-PLR_celiac_gluten) |
PSS008938| African Ancestry| 526 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0162 [-0.0711, 0.1032] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011074 | PGS002025 (portability-ldpred2_250.1) |
PSS009287| European Ancestry| 18,975 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0824 [0.0682, 0.0965] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011075 | PGS002025 (portability-ldpred2_250.1) |
PSS009061| European Ancestry| 3,954 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0666 [0.0354, 0.0976] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011076 | PGS002025 (portability-ldpred2_250.1) |
PSS008615| European Ancestry| 6,300 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0719 [0.0472, 0.0964] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011077 | PGS002025 (portability-ldpred2_250.1) |
PSS008391| Greater Middle Eastern Ancestry| 1,107 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0529 [-0.0066, 0.112] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011078 | PGS002025 (portability-ldpred2_250.1) |
PSS008169| South Asian Ancestry| 5,228 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0228 [-0.0044, 0.0499] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011079 | PGS002025 (portability-ldpred2_250.1) |
PSS007956| East Asian Ancestry| 1,729 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0048 [-0.0522, 0.0427] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011080 | PGS002025 (portability-ldpred2_250.1) |
PSS007737| African Ancestry| 2,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0089 [-0.0331, 0.0509] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011081 | PGS002025 (portability-ldpred2_250.1) |
PSS008840| African Ancestry| 3,490 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.013 [-0.0463, 0.0203] | 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 | — |
| PPM011398 | PGS002067 (portability-ldpred2_557.1) |
PSS009331| European Ancestry| 16,106 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.1241 [0.1088, 0.1393] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011400 | PGS002067 (portability-ldpred2_557.1) |
PSS008659| European Ancestry| 5,445 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0979 [0.0714, 0.1242] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011401 | PGS002067 (portability-ldpred2_557.1) |
PSS008433| Greater Middle Eastern Ancestry| 998 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0718 [0.0092, 0.1339] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011402 | PGS002067 (portability-ldpred2_557.1) |
PSS008213| South Asian Ancestry| 5,277 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0512 [0.0242, 0.0781] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011403 | PGS002067 (portability-ldpred2_557.1) |
PSS007778| African Ancestry| 2,091 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0094 [-0.0337, 0.0525] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011404 | PGS002067 (portability-ldpred2_557.1) |
PSS008882| African Ancestry| 3,455 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0241 [-0.0093, 0.0575] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011517 | PGS002082 (portability-ldpred2_695.4) |
PSS009346| European Ancestry| 19,585 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.0212 [0.0072, 0.0352] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011518 | PGS002082 (portability-ldpred2_695.4) |
PSS009120| European Ancestry| 4,047 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.0268 [-0.0041, 0.0577] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011519 | PGS002082 (portability-ldpred2_695.4) |
PSS008674| European Ancestry| 6,535 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0096 [-0.0338, 0.0147] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011520 | PGS002082 (portability-ldpred2_695.4) |
PSS008448| Greater Middle Eastern Ancestry| 1,184 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0045 [-0.0619, 0.053] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011521 | PGS002082 (portability-ldpred2_695.4) |
PSS008228| South Asian Ancestry| 6,185 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.005 [-0.0199, 0.03] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011522 | PGS002082 (portability-ldpred2_695.4) |
PSS008009| East Asian Ancestry| 1,785 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.0076 [-0.0391, 0.0543] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011523 | PGS002082 (portability-ldpred2_695.4) |
PSS007793| African Ancestry| 2,428 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0113 [-0.0512, 0.0287] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011524 | PGS002082 (portability-ldpred2_695.4) |
PSS008897| African Ancestry| 3,872 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0062 [-0.0378, 0.0254] | sex, age, birth date, deprivation index, 16 PCs | — |
| 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 | — |
| 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 | — |
| PPM011713 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS009164| European Ancestry| 1,354 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0848 [0.0313, 0.1379] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011714 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS008718| European Ancestry| 2,442 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.041 [0.0012, 0.0807] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011715 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS008492| Greater Middle Eastern Ancestry| 208 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0206 [-0.1229, 0.1632] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011716 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS008270| South Asian Ancestry| 908 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0237 [-0.0422, 0.0893] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011717 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS007834| African Ancestry| 400 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): -0.0242 [-0.1245, 0.0766] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011718 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS008938| African Ancestry| 526 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0172 [-0.0701, 0.1042] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009853 | PGS001870 (portability-PLR_695.4) |
PSS008228| South Asian Ancestry| 6,185 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.0029 [-0.0221, 0.0278] | sex, age, birth date, deprivation index, 16 PCs | — |
| 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 | — |
| PPM010036 | PGS001894 (portability-PLR_celiac_gluten) |
PSS009390| European Ancestry| 7,142 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0993 [0.0763, 0.1223] | 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 | — |
| PPM011399 | PGS002067 (portability-ldpred2_557.1) |
PSS009105| European Ancestry| 3,509 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0695 [0.0364, 0.1024] | 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 | — |
| 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) | — |
| 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] | — | — |
| PPM014801 | PGS000024 (GRS2) |
PSS009895| European Ancestry| 1,168 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.864 [0.823, 0.905] | — | — | — |
| PPM014803 | PGS000024 (GRS2) |
PSS009893| African Ancestry| 366 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.851 [0.805, 0.897] | — | — | — |
| PPM014805 | PGS000024 (GRS2) |
PSS009894| Hispanic or Latin American Ancestry| 412 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.935 [0.906, 0.964] | — | — | — |
| PPM014807 | PGS000024 (GRS2) |
PSS009896| Ancestry Not Reported| 99 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.79 [0.679, 0.902] | — | — | — |
| 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 | — | — | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 |
| 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] | — | — | — |
| 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 | — | — |
| PPM018508 | PGS003749 (ModelT1D_under25) |
PSS011001| European Ancestry| 119,273 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Type 1 diabetes with age of diagnosis under 25 | — | AUROC: 0.797 | Nagelkerke R2: 0.099 | — | — |
| PPM018509 | PGS003750 (ModelT1D) |
PSS010999| European Ancestry| 120,028 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.64 | Nagelkerke R2: 0.014 | — | — |
| PPM018512 | PGS003749 (ModelT1D_under25) |
PSS011000| European Ancestry| 7,067 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Discrimination of Type 1 diabetes from Type 2 diabetes | — | AUROC: 0.792 | — | — | — |
| PPM018514 | PGS003749 (ModelT1D_under25) |
PSS010998| European Ancestry| 2,494 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Discrimination of Type 1 diabetes from Type 2 diabetes | — | AUROC: 0.686 | — | — | — |
| 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 | — |
| 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 | — |
| 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] | — | — | — |
| PPM018532 | PGS000024 (GRS2) |
PSS011012| Multi-ancestry (including European)| 39,820 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.875 | — | — | — |
| PPM018533 | PGS000024 (GRS2) |
PSS011009| Multi-ancestry (including European)| 57,643 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.822 | — | — | — |
| PPM018534 | PGS000024 (GRS2) |
PSS011014| European Ancestry| 34,939 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.888 | — | — | — |
| PPM018535 | PGS000024 (GRS2) |
PSS011014| European Ancestry| 34,939 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.858 | — | — | — |
| PPM018536 | PGS000023 (AA_GRS) |
PSS011012| Multi-ancestry (including European)| 39,820 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.781 | — | — | — |
| PPM018537 | PGS000023 (AA_GRS) |
PSS011009| Multi-ancestry (including European)| 57,643 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.817 | — | — | — |
| PPM018538 | PGS000024 (GRS2) |
PSS011011| European Ancestry| 16,663 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 100.0 % PPV (reference): 86.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM018539 | PGS000023 (AA_GRS) |
PSS011011| European Ancestry| 16,663 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 97.0 % PPV (reference): 86.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM018540 | PGS000024 (GRS2) |
PSS011010| Multi-ancestry (excluding European)| 40,980 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 93.0 % PPV (reference): 71.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM018541 | PGS000023 (AA_GRS) |
PSS011010| Multi-ancestry (excluding European)| 40,980 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 86.0 % PPV (reference): 71.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM018542 | PGS000024 (GRS2) |
PSS011014| European Ancestry| 34,939 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 97.0 % PPV (reference): 71.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM018543 | PGS000023 (AA_GRS) |
PSS011013| Multi-ancestry (excluding European)| 4,881 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 83.0 % PPV (reference): 53.0 % |
eMERGE type 1 diabetes algorithm | — |
| 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 | — |
| PPM019940 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.50723 [1.38329925, 1.64225382] β: 0.41027 [0.32447141, 0.49606958] |
AUROC: 0.61038 [0.58493393, 0.63583432] | R²: 0.01989 [0.01172729, 0.03067629] | 0 | beta = log(or)/sd_pgs |
| PPM019941 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.76472 [1.7129685, 1.81804229] β: 0.56799 [0.53822783, 0.59776026] |
AUROC: 0.65681 [0.64857862, 0.665043] | R²: 0.03778 [0.03378648, 0.04199483] | 0 | beta = log(or)/sd_pgs |
| PPM019942 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.06976 [0.97430512, 1.17457159] β: 0.06744 [-0.0260308, 0.16090348] |
AUROC: 0.51565 [0.4870758, 0.54421766] | R²: 0.00063 [0.0, 0.00417152] | 0 | beta = log(or)/sd_pgs |
| PPM019943 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.21972 [1.10575245, 1.34542335] β: 0.19862 [0.10052606, 0.29670872] |
AUROC: 0.55539 [0.52652748, 0.58425862] | R²: 0.00453 [0.00106382, 0.01025734] | 0 | beta = log(or)/sd_pgs |
| PPM019944 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.8907 [1.65320815, 2.16231652] β: 0.63695 [0.50271774, 0.77118011] |
AUROC: 0.67867 [0.64177739, 0.71555632] | R²: 0.04884 [0.02894078, 0.07332714] | 0 | beta = log(or)/sd_pgs |
| PPM019945 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.53997 [1.41224358, 1.67924688] β: 0.43176 [0.34517963, 0.5183454] |
AUROC: 0.61637 [0.59140768, 0.64133337] | R²: 0.02164 [0.01297279, 0.03167858] | 0 | beta = log(or)/sd_pgs |
| PPM019946 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.83108 [1.77691147, 1.88689599] β: 0.6049 [0.57487673, 0.63493314] |
AUROC: 0.66566 [0.65750331, 0.67382366] | R²: 0.04216 [0.03803437, 0.04646488] | 0 | beta = log(or)/sd_pgs |
| PPM019947 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.10378 [1.00525324, 1.21196356] β: 0.09874 [0.00523949, 0.19224182] |
AUROC: 0.52426 [0.49592976, 0.5525963] | R²: 0.00135 [0.0, 0.00571968] | 0 | beta = log(or)/sd_pgs |
| PPM019948 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.23285 [1.11742884, 1.36018681] β: 0.20933 [0.11103037, 0.30762205] |
AUROC: 0.5572 [0.52793354, 0.58646596] | R²: 0.00501 [0.00118351, 0.01159794] | 0 | beta = log(or)/sd_pgs |
| PPM019949 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.87052 [1.63223449, 2.14359629] β: 0.62622 [0.48994993, 0.76248493] |
AUROC: 0.67437 [0.63811128, 0.71062785] | R²: 0.04581 [0.02667374, 0.06787352] | 0 | beta = log(or)/sd_pgs |
| PPM019950 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.95715 [1.81292462, 2.11285989] β: 0.67149 [0.59494135, 0.74804243] |
AUROC: 0.6973 [0.67432957, 0.72027485] | R²: 0.06925 [0.05366269, 0.08783238] | 0 | beta = log(or)/sd_pgs |
| PPM019951 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.37817 [2.30792027, 2.45056467] β: 0.86633 [0.8363468, 0.89631847] |
AUROC: 0.73364 [0.7261439, 0.74113326] | R²: 0.08844 [0.08240615, 0.09429924] | 0 | beta = log(or)/sd_pgs |
| PPM019952 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.02806 [0.93617919, 1.12896592] β: 0.02768 [-0.0659484, 0.1213021] |
AUROC: 0.49306 [0.46664532, 0.51946756] | R²: 0.00011 [0.0, 0.00201222] | 0 | beta = log(or)/sd_pgs |
| PPM019953 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.35954 [1.23424263, 1.49756477] β: 0.30715 [0.21045753, 0.4038403] |
AUROC: 0.58092 [0.55093059, 0.61090482] | R²: 0.01115 [0.00472683, 0.02038956] | 0 | beta = log(or)/sd_pgs |
| PPM019954 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.40714 [2.12613109, 2.72529613] β: 0.87844 [0.75430394, 1.0025771] |
AUROC: 0.7438 [0.70604081, 0.78155137] | R²: 0.11521 [0.08261093, 0.15365125] | 0 | beta = log(or)/sd_pgs |
| PPM019956 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.08691 [2.02370949, 2.15207932] β: 0.73568 [0.70493221, 0.7664345] |
AUROC: 0.69901 [0.69126203, 0.70676702] | R²: 0.05973 [0.05525799, 0.06439209] | 0 | beta = log(or)/sd_pgs |
| PPM019957 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 0.97765 [0.89040095, 1.07344813] β: -0.0226 [-0.1160834, 0.07087602] |
AUROC: 0.50592 [0.47842074, 0.53342715] | R²: 7e-05 [0.0, 0.00178835] | 0 | beta = log(or)/sd_pgs |
| PPM019958 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.32037 [1.19592399, 1.45777215] β: 0.27791 [0.1789191, 0.37690935] |
AUROC: 0.5779 [0.54954499, 0.60625601] | R²: 0.0087 [0.00397942, 0.01569235] | 0 | beta = log(or)/sd_pgs |
| PPM019959 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.73561 [1.51150462, 1.99293821] β: 0.55136 [0.41310559, 0.68961004] |
AUROC: 0.6586 [0.61898315, 0.69821584] | R²: 0.03445 [0.01835972, 0.05461851] | 0 | beta = log(or)/sd_pgs |
| PPM019960 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.35332 [2.16304039, 2.56032867] β: 0.85583 [0.77151482, 0.94013564] |
AUROC: 0.71754 [0.69281899, 0.74226865] | R²: 0.09161 [0.07185892, 0.11449842] | 0 | beta = log(or)/sd_pgs |
| PPM019961 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.27887 [2.20957694, 2.35033807] β: 0.82368 [0.79280107, 0.85455918] |
AUROC: 0.71873 [0.71109285, 0.72636337] | R²: 0.07462 [0.06945443, 0.08005629] | 0 | beta = log(or)/sd_pgs |
| PPM019962 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.0051 [0.915294, 1.10371927] β: 0.00509 [-0.08851, 0.09868564] |
AUROC: 0.50466 [0.47785708, 0.53145331] | R²: 3.57e-06 [0.0, 0.00127941] | 0 | beta = log(or)/sd_pgs |
| PPM019963 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.43168 [1.29788795, 1.57925912] β: 0.35885 [0.26073829, 0.45695583] |
AUROC: 0.58479 [0.5557021, 0.61387243] | R²: 0.01478 [0.00756708, 0.02570015] | 0 | beta = log(or)/sd_pgs |
| PPM019964 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.88687 [2.52605474, 3.29923292] β: 1.06017 [0.92665869, 1.19368999] |
AUROC: 0.77124 [0.73430954, 0.80816383] | R²: 0.14125 [0.10181365, 0.18523438] | 0 | beta = log(or)/sd_pgs |
| PPM019965 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.32281 [2.13168407, 2.53107946] β: 0.84278 [0.75691231, 0.92864588] |
AUROC: 0.71195 [0.68696399, 0.73694375] | R²: 0.0847 [0.06629693, 0.10703174] | 0 | beta = log(or)/sd_pgs |
| PPM019966 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.04799 [1.98592622, 2.11200077] β: 0.71686 [0.68608541, 0.74763573] |
AUROC: 0.69176 [0.68386243, 0.69965429] | R²: 0.05646 [0.05209086, 0.06140139] | 0 | beta = log(or)/sd_pgs |
| PPM019967 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.00124 [0.9117887, 1.09947388] β: 0.00124 [-0.092347, 0.09483178] |
AUROC: 0.50968 [0.48325371, 0.53611056] | R²: 2.13e-07 [0.0, 0.00104871] | 0 | beta = log(or)/sd_pgs |
| PPM019968 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.41811 [1.28793383, 1.56143556] β: 0.34932 [0.25303925, 0.44560563] |
AUROC: 0.5837 [0.55391495, 0.61347751] | R²: 0.01451 [0.00709685, 0.02594541] | 0 | beta = log(or)/sd_pgs |
| PPM019969 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.67223 [2.33127749, 3.06303713] β: 0.98291 [0.8464164, 1.11940695] |
AUROC: 0.74858 [0.71080109, 0.78636453] | R²: 0.11349 [0.08057329, 0.1513995] | 0 | beta = log(or)/sd_pgs |
| PPM019970 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.96796 [1.8152611, 2.13351315] β: 0.677 [0.59622931, 0.75776999] |
AUROC: 0.68845 [0.66493994, 0.71195684] | R²: 0.06145 [0.0466906, 0.07846122] | 0 | beta = log(or)/sd_pgs |
| PPM019971 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.98877 [1.93780812, 2.04107353] β: 0.68752 [0.6615575, 0.71347591] |
AUROC: 0.71357 [0.70595937, 0.72117434] | R²: 0.0733 [0.06778529, 0.07934817] | 0 | beta = log(or)/sd_pgs |
| PPM019972 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 0.99583 [0.90679351, 1.09360849] β: -0.00418 [-0.0978405, 0.08948277] |
AUROC: 0.50552 [0.47751517, 0.53351676] | R²: 2.41e-06 [0.0, 0.00132293] | 0 | beta = log(or)/sd_pgs |
| PPM019973 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.34209 [1.2160386, 1.48119754] β: 0.29422 [0.19559853, 0.39285091] |
AUROC: 0.57505 [0.54588165, 0.60422019] | R²: 0.00983 [0.00444222, 0.01812082] | 0 | beta = log(or)/sd_pgs |
| PPM019974 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.32027 [2.05513583, 2.61961025] β: 0.84168 [0.72034195, 0.96302555] |
AUROC: 0.73583 [0.6992247, 0.77242674] | R²: 0.10657 [0.0731231, 0.14722601] | 0 | beta = log(or)/sd_pgs |
| PPM019975 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.10311 [1.93487496, 2.28597324] β: 0.74342 [0.6600427, 0.82679186] |
AUROC: 0.69475 [0.67006258, 0.71942771] | R²: 0.06975 [0.05276804, 0.08919338] | 0 | beta = log(or)/sd_pgs |
| PPM019976 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.14067 [2.07613635, 2.20720948] β: 0.76112 [0.73050864, 0.79172904] |
AUROC: 0.70513 [0.69736383, 0.71288732] | R²: 0.06481 [0.059934, 0.06970825] | 0 | beta = log(or)/sd_pgs |
| PPM019977 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.00042 [0.91103711, 1.09857896] β: 0.00042 [-0.0931716, 0.09401749] |
AUROC: 0.50146 [0.4742843, 0.52864086] | R²: 2.47e-08 [0.0, 0.00110175] | 0 | beta = log(or)/sd_pgs |
| PPM019979 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.67623 [2.34580171, 3.0531938] β: 0.98441 [0.85262722, 1.11618819] |
AUROC: 0.75808 [0.72109039, 0.79506729] | R²: 0.12382 [0.0893776, 0.1626812] | 0 | beta = log(or)/sd_pgs |
| PPM019980 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.98839 [1.83886186, 2.15008348] β: 0.68733 [0.60914683, 0.76550667] |
AUROC: 0.69368 [0.66982956, 0.71752171] | R²: 0.06902 [0.05359352, 0.08756059] | 0 | beta = log(or)/sd_pgs |
| PPM019981 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.45742 [2.38456802, 2.53249357] β: 0.89911 [0.86901799, 0.92920442] |
AUROC: 0.74072 [0.73326604, 0.7481693] | R²: 0.09498 [0.08910449, 0.1012516] | 0 | beta = log(or)/sd_pgs |
| PPM019982 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 0.99231 [0.90364856, 1.08967257] β: -0.00772 [-0.1013148, 0.08587725] |
AUROC: 0.50262 [0.47587981, 0.52935952] | R²: 8.22e-06 [0.0, 0.00119328] | 0 | beta = log(or)/sd_pgs |
| PPM019983 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.42533 [1.29225034, 1.57211911] β: 0.3544 [0.25638515, 0.45242446] |
AUROC: 0.59074 [0.56115377, 0.62033237] | R²: 0.01445 [0.00709941, 0.02487634] | 0 | beta = log(or)/sd_pgs |
| PPM019984 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.43145 [2.14880751, 2.75126545] β: 0.88849 [0.76491304, 1.01206097] |
AUROC: 0.74705 [0.70995893, 0.78413594] | R²: 0.1179 [0.08420483, 0.15729309] | 0 | beta = log(or)/sd_pgs |
| PPM019985 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.96153 [1.81511617, 2.11974641] β: 0.67372 [0.59614947, 0.75129646] |
AUROC: 0.69109 [0.66721361, 0.71496653] | R²: 0.06749 [0.05179939, 0.08606836] | 0 | beta = log(or)/sd_pgs |
| PPM019986 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.44508 [2.37411415, 2.51816059] β: 0.89408 [0.86462438, 0.92352871] |
AUROC: 0.74221 [0.7347773, 0.74964128] | R²: 0.09841 [0.09204504, 0.10511922] | 0 | beta = log(or)/sd_pgs |
| PPM019987 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.0158 [0.92505185, 1.11545962] β: 0.01568 [-0.0779055, 0.10926654] |
AUROC: 0.49721 [0.47051134, 0.52391261] | R²: 3e-05 [0.0, 0.00165456] | 0 | beta = log(or)/sd_pgs |
| PPM019988 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.42395 [1.29147627, 1.57000849] β: 0.35343 [0.25578596, 0.45108103] |
AUROC: 0.58948 [0.55985079, 0.61910169] | R²: 0.01448 [0.00713355, 0.02556907] | 0 | beta = log(or)/sd_pgs |
| PPM019989 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.39116 [2.11480155, 2.70363906] β: 0.87178 [0.74896098, 0.99459867] |
AUROC: 0.74365 [0.70655591, 0.78075248] | R²: 0.11538 [0.08154941, 0.15461483] | 0 | beta = log(or)/sd_pgs |
| PPM019990 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.96291 [1.8158394, 2.12190093] β: 0.67443 [0.59654784, 0.75231235] |
AUROC: 0.69707 [0.6741702, 0.71996442] | R²: 0.06768 [0.05283665, 0.08590187] | 0 | beta = log(or)/sd_pgs |
| PPM019991 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.44728 [2.37432767, 2.52248258] β: 0.89498 [0.86471431, 0.92524357] |
AUROC: 0.73762 [0.73014965, 0.74509755] | R²: 0.0929 [0.08697873, 0.09927932] | 0 | beta = log(or)/sd_pgs |
| PPM019992 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.02458 [0.93312347, 1.12499983] β: 0.02428 [-0.0692177, 0.11778288] |
AUROC: 0.51003 [0.4834716, 0.5365786] | R²: 8e-05 [0.0, 0.00192444] | 0 | beta = log(or)/sd_pgs |
| PPM019993 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.42499 [1.29448907, 1.56865336] β: 0.35417 [0.25811607, 0.45021752] |
AUROC: 0.59001 [0.56010026, 0.61992271] | R²: 0.01505 [0.00716292, 0.02582298] | 0 | beta = log(or)/sd_pgs |
| PPM019994 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.34601 [2.07012734, 2.65865075] β: 0.85271 [0.72761012, 0.97781876] |
AUROC: 0.7445 [0.70912362, 0.7798788] | R²: 0.10752 [0.07728308, 0.14325004] | 0 | beta = log(or)/sd_pgs |
| PPM019995 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.95016 [1.8039695, 2.10819938] β: 0.66791 [0.58998952, 0.74583421] |
AUROC: 0.69542 [0.67251261, 0.71833611] | R²: 0.06635 [0.05145834, 0.08404252] | 0 | beta = log(or)/sd_pgs |
| PPM019996 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.41964 [2.34758401, 2.49390831] β: 0.88362 [0.85338672, 0.91385108] |
AUROC: 0.73427 [0.72674347, 0.74178811] | R²: 0.09058 [0.08466118, 0.09688729] | 0 | beta = log(or)/sd_pgs |
| PPM019997 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.02716 [0.9355068, 1.12778739] β: 0.0268 [-0.0666669, 0.12025765] |
AUROC: 0.51065 [0.48423163, 0.53706706] | R²: 0.0001 [0.0, 0.0020518] | 0 | beta = log(or)/sd_pgs |
| PPM019998 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.41112 [1.28181566, 1.55346498] β: 0.34438 [0.24827756, 0.44048791] |
AUROC: 0.58719 [0.55730466, 0.61706811] | R²: 0.01421 [0.00653265, 0.0245434] | 0 | beta = log(or)/sd_pgs |
| PPM019999 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.32891 [2.05474726, 2.63965287] β: 0.8454 [0.72015285, 0.97064742] |
AUROC: 0.74138 [0.70575103, 0.77699909] | R²: 0.10551 [0.07498107, 0.14145494] | 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 |
| PPM020005 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.33056 [1.27927587, 1.3839026] β: 0.2856 [0.24629419, 0.32490748] |
AUROC: 0.57951 [0.56779004, 0.5912348] | R²: 0.01289 [0.00942678, 0.01683411] | 0 | beta = log(or)/sd_pgs |
| PPM020006 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.40296 [1.37512281, 1.43135987] β: 0.33858 [0.31854304, 0.35862495] |
AUROC: 0.59425 [0.58836034, 0.60013257] | R²: 0.01808 [0.01603989, 0.02043251] | 0 | beta = log(or)/sd_pgs |
| PPM020007 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.70576 [1.31671088, 2.20977427] β: 0.53401 [0.27513687, 0.79289037] |
AUROC: 0.65379 [0.59209129, 0.71549218] | R²: 0.02382 [0.00843075, 0.05003813] | 0 | beta = log(or)/sd_pgs |
| PPM020008 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.30274 [1.23029942, 1.37944872] β: 0.26447 [0.20725757, 0.32168394] |
AUROC: 0.57047 [0.55330355, 0.58764034] | R²: 0.01098 [0.00635806, 0.01667243] | 0 | beta = log(or)/sd_pgs |
| PPM020009 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.56663 [1.37347647, 1.78694216] β: 0.44893 [0.31734509, 0.58050587] |
AUROC: 0.62337 [0.58200096, 0.66473232] | R²: 0.03261 [0.0140955, 0.05548662] | 0 | beta = log(or)/sd_pgs |
| PPM020010 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.34749 [1.29508225, 1.40201468] β: 0.29824 [0.25857421, 0.33791026] |
AUROC: 0.58105 [0.56930556, 0.59279972] | R²: 0.0138 [0.01033525, 0.01782333] | 0 | beta = log(or)/sd_pgs |
| PPM020011 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.43562 [1.40681814, 1.46501743] β: 0.3616 [0.34133052, 0.38186714] |
AUROC: 0.59988 [0.59403334, 0.60572738] | R²: 0.02017 [0.01796729, 0.0226397] | 0 | beta = log(or)/sd_pgs |
| PPM020012 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.54617 [1.19528898, 2.00006106] β: 0.43578 [0.17838798, 0.69317771] |
AUROC: 0.6263 [0.55995128, 0.69265647] | R²: 0.01611 [0.00346998, 0.03792919] | 0 | beta = log(or)/sd_pgs |
| PPM020013 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.33067 [1.25591817, 1.40986302] β: 0.28568 [0.22786692, 0.34349255] |
AUROC: 0.57616 [0.55915512, 0.59316854] | R²: 0.01255 [0.00747678, 0.01866845] | 0 | beta = log(or)/sd_pgs |
| PPM020014 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.49068 [1.30391606, 1.70419754] β: 0.39923 [0.26537209, 0.53309435] |
AUROC: 0.60812 [0.56762836, 0.64860873] | R²: 0.02494 [0.01039785, 0.04545545] | 0 | beta = log(or)/sd_pgs |
| 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 |
| PPM020020 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.39911 [1.3453147, 1.45504863] β: 0.33583 [0.29662796, 0.37503932] |
AUROC: 0.5916 [0.57985369, 0.6033368] | R²: 0.01793 [0.01361181, 0.02247244] | 0 | beta = log(or)/sd_pgs |
| PPM020021 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.62873 [1.5962079, 1.66190947] β: 0.4878 [0.46763075, 0.50796722] |
AUROC: 0.63399 [0.62818932, 0.6397817] | R²: 0.03731 [0.0341354, 0.04065053] | 0 | beta = log(or)/sd_pgs |
| PPM020022 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.86907 [1.45549233, 2.40017231] β: 0.62544 [0.37534421, 0.87554053] |
AUROC: 0.67317 [0.61055743, 0.73578134] | R²: 0.03526 [0.01406596, 0.06823395] | 0 | beta = log(or)/sd_pgs |
| PPM020023 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.46527 [1.38341272, 1.55196664] β: 0.38204 [0.32455343, 0.43952293] |
AUROC: 0.60487 [0.58809209, 0.62164016] | R²: 0.02273 [0.01613462, 0.03055882] | 0 | beta = log(or)/sd_pgs |
| PPM020024 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.74045 [1.52359433, 1.98817059] β: 0.55414 [0.42107223, 0.68721491] |
AUROC: 0.66211 [0.62585476, 0.69836134] | R²: 0.04857 [0.02861608, 0.07522105] | 0 | beta = log(or)/sd_pgs |
| PPM020025 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.64114 [1.57821035, 1.70658848] β: 0.49539 [0.45629151, 0.53449634] |
AUROC: 0.63353 [0.62188573, 0.645168] | R²: 0.03944 [0.03314538, 0.04625298] | 0 | beta = log(or)/sd_pgs |
| PPM020026 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.75402 [1.71840512, 1.79036854] β: 0.56191 [0.5413966, 0.58242149] |
AUROC: 0.65279 [0.64709296, 0.6584935] | R²: 0.04802 [0.0444714, 0.05161881] | 0 | beta = log(or)/sd_pgs |
| PPM020027 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.39078 [1.89563819, 3.0152594] β: 0.87162 [0.63955556, 1.10368586] |
AUROC: 0.74329 [0.67891271, 0.80767425] | R²: 0.07939 [0.04017912, 0.13128156] | 0 | beta = log(or)/sd_pgs |
| PPM020028 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.6676 [1.57316173, 1.76770414] β: 0.51138 [0.45308744, 0.56968161] |
AUROC: 0.64052 [0.62389168, 0.65713902] | R²: 0.03977 [0.03083288, 0.04944259] | 0 | beta = log(or)/sd_pgs |
| PPM020029 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.46183 [2.16199209, 2.8032592] β: 0.90091 [0.77103006, 1.03078274] |
AUROC: 0.74695 [0.71319269, 0.78070209] | R²: 0.13759 [0.09865689, 0.18374268] | 0 | beta = log(or)/sd_pgs |
| 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 |
| 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 |
| 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 |
| 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 |
| PPM020050 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.32987 [1.28121824, 1.38036919] β: 0.28508 [0.24781138, 0.32235099] |
AUROC: 0.58517 [0.5735, 0.59683621] | R²: 0.01384 [0.01026836, 0.01752212] | 0 | beta = log(or)/sd_pgs |
| PPM020051 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.49732 [1.46602685, 1.52927706] β: 0.40368 [0.38255592, 0.42479511] |
AUROC: 0.60802 [0.60210105, 0.6139434] | R²: 0.02326 [0.02088065, 0.0257906] | 0 | beta = log(or)/sd_pgs |
| PPM020052 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.28607 [1.08009867, 1.53131211] β: 0.25159 [0.0770524, 0.42612496] |
AUROC: 0.59832 [0.52394235, 0.67270553] | R²: 0.01158 [0.00106957, 0.04053787] | 0 | beta = log(or)/sd_pgs |
| PPM020053 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.18691 [1.12316952, 1.25426353] β: 0.17135 [0.11615461, 0.22654857] |
AUROC: 0.55861 [0.54216624, 0.57505125] | R²: 0.00494 [0.00224141, 0.008649] | 0 | beta = log(or)/sd_pgs |
| PPM020054 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.59047 [1.42931885, 1.76979456] β: 0.46403 [0.357198, 0.57086347] |
AUROC: 0.6696 [0.63218416, 0.70702386] | R²: 0.05578 [0.03219308, 0.08912121] | 0 | beta = log(or)/sd_pgs |
| PPM020055 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.46364 [1.40722648, 1.52232499] β: 0.38093 [0.34162073, 0.42023876] |
AUROC: 0.60294 [0.59126234, 0.6146234] | R²: 0.02295 [0.01792423, 0.02800557] | 0 | beta = log(or)/sd_pgs |
| PPM020056 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.61006 [1.57707721, 1.6437293] β: 0.47627 [0.45557327, 0.49696762] |
AUROC: 0.63039 [0.62463626, 0.63613412] | R²: 0.03371 [0.03082787, 0.03667513] | 0 | beta = log(or)/sd_pgs |
| PPM020057 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.91213 [1.49624529, 2.4436175] β: 0.64822 [0.40295883, 0.89347952] |
AUROC: 0.69067 [0.62429924, 0.75703169] | R²: 0.03819 [0.01668401, 0.0690534] | 0 | beta = log(or)/sd_pgs |
| PPM020058 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.4387 [1.3566017, 1.52577159] β: 0.36374 [0.30498282, 0.42250024] |
AUROC: 0.60312 [0.58631707, 0.61991468] | R²: 0.01973 [0.01358075, 0.02702473] | 0 | beta = log(or)/sd_pgs |
| PPM020059 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.11267 [1.86259241, 2.39632917] β: 0.74795 [0.62196928, 0.87393805] |
AUROC: 0.71102 [0.67560891, 0.74643625] | R²: 0.09939 [0.0673612, 0.13982338] | 0 | beta = log(or)/sd_pgs |
| PPM020098 | PGS000024 (GRS2) |
PSS011295| Ancestry Not Reported| 1,798 individuals |
PGP000519 | Thomas NJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes vs autoantibody negative T2D | — | — | p-value (inferior to): 0.0001 | — | — |
| PPM020104 | PGS004171 (t1d_1) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.7 | — | year of birth, sex | — |
| PPM020105 | PGS004172 (t1d_2) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.71 | — | year of birth, sex | — |
| PPM020106 | PGS004173 (t1d_3) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.71 | — | year of birth, sex | — |
| PPM020107 | PGS004174 (t1d_4) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.71 | — | year of birth, sex | — |
| PPM020108 | PGS004175 (t1d_5) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.7 | — | year of birth, sex | — |
| 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 | — |
| PPM019955 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.62883 [1.4923288, 1.77782255] β: 0.48786 [0.40033785, 0.57538933] |
AUROC: 0.63151 [0.60628925, 0.65673082] | R²: 0.02701 [0.01801814, 0.03863217] | 0 | beta = log(or)/sd_pgs |
| PPM019978 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.39887 [1.26758241, 1.54375709] β: 0.33567 [0.23711147, 0.43421912] |
AUROC: 0.58756 [0.55830682, 0.61680998] | R²: 0.01282 [0.00631335, 0.02187257] | 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 |
| 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 |
| 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 |
| 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 |
| PPM021179 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011637| European Ancestry| 412,090 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 2.37 [2.31, 2.44] | C-index: 0.77 [0.77, 0.78] | — | PCs 1-10 | — |
| 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) |
| PPM021124 | PGS000024 (GRS2) |
PSS011531| European Ancestry| 9,465 individuals |
PGP000614 | Qu HQ et al. Diabetes Obes Metab (2021) |Ext. |
Reported Trait: Type 1 diabetes | β: -0.22 | AUROC: 0.87 | — | — | — |
| PPM021125 | PGS000024 (GRS2) |
PSS011532| European Ancestry| 9,450 individuals |
PGP000614 | Qu HQ et al. Diabetes Obes Metab (2021) |Ext. |
Reported Trait: Type 1 diabetes | β: -0.234 | AUROC: 0.862 | — | — | — |
| 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 | — |
| PPM021173 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011643| European Ancestry| 447,332 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 2.11 [1.98, 2.24] | — | — | PCs 1-10 | — |
| PPM021174 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011642| European Ancestry| 32,779 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 1.41 [1.17, 1.69] | C-index: 0.69 [0.64, 0.74] | — | PCs 1-10 | — |
| PPM021175 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011641| European Ancestry| 69,715 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 1.43 [1.28, 1.59] | C-index: 0.64 [0.61, 0.67] | — | PCs 1-10 | — |
| PPM021176 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011640| European Ancestry| 29,427 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 2.09 [1.91, 2.29] | C-index: 0.75 [0.72, 0.78] | — | 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 | — | — | — |
| 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 | — |
| PPM021177 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011638| European Ancestry| 44,187 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 1.05 [0.95, 1.15] | — | — | PCs 1-10 | — |
| PPM021178 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011639| European Ancestry| 7,018 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 1.56 [1.14, 2.12] | C-index: 0.73 [0.67, 0.78] | — | 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 | — |
| PPM021180 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011636| European Ancestry| 199,868 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 1.64 [1.5, 1.79] | C-index: 0.68 [0.65, 0.7] | — | PCs 1-10 | — |
| PPM021725 | PGS000023 (AA_GRS) |
PSS011762| European Ancestry| 8,417 individuals |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |Ext. |
Reported Trait: Type 1 diabetes mellitus | OR: 2.31 [2.0, 2.68] | AUROC: 0.77 | — | — | — |
| PPM021718 | PGS004930 (celiac_disease_snpnet_combined) |
PSS011762| European Ancestry| 8,417 individuals |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |
Reported Trait: Celiac disease | OR: 1.52 [1.35, 1.71] | AUROC: 0.67 | — | — | — |
| PPM022747 | PGS005264 (graves_disease_mixed_pt) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: graves' disease | OR: 1.008 β: 0.008 |
AUROC: 0.6587 | — | — | — |
| PPM022748 | PGS005265 (graves_disease_mixed_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: graves' disease | OR: 1.62508 β: 0.48556 |
AUROC: 0.66522 | — | — | — |
| PPM022749 | PGS005266 (graves_disease_eur_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: graves' disease | OR: 1.54333 β: 0.43394 |
AUROC: 0.66373 | — | — | — |
| PPM022753 | PGS005270 (lymphocytic_thyroiditis_mixed_pt) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: lymphocytic thyroiditis | OR: 1.037 β: 0.037 |
AUROC: 0.63868 | — | — | — |
| PPM022754 | PGS005271 (lymphocytic_thyroiditis_mixed_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: lymphocytic thyroiditis | OR: 1.54908 β: 0.43766 |
AUROC: 0.62973 | — | — | — |
| PPM022755 | PGS005272 (lymphocytic_thyroiditis_eur_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: lymphocytic thyroiditis | OR: 1.41698 β: 0.34853 |
AUROC: 0.60542 | — | — | — |
| PPM023044 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Diabetes outcome (taking insulin) | — | — | Hazard ratio (HR, high vs low tertile): 1.42 [1.34, 1.51] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023045 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Diabetes outcome (DKA) | — | — | Hazard ratio (HR, high vs low tertile): 3.28 [2.76, 3.9] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023046 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Diabetes outcome (Hypoglycemia diagnosis at ED) | — | — | Hazard ratio (HR, high vs low tertile): 1.56 [1.38, 1.77] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023047 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Diabetes outcome (Outpatient glucose <50 mg/dL) | — | — | Hazard ratio (HR, high vs low tertile): 1.91 [1.76, 2.09] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023048 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Diabetes outcome (Years to insulin) | — | — | Hazard ratio (HR, high vs low tertile): 0.36 [0.31, 0.42] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023049 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Diabetes outcome (HbA1c at onset) | — | — | Hazard ratio (HR, high vs low tertile): 1.28 [1.2, 1.37] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023050 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Diabetes outcome (BMI at onset) | — | — | Hazard ratio (HR, high vs low tertile): 0.3 [0.26, 0.36] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023051 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Total cholesterol-HDL | — | — | Hazard ratio (HR, high vs low tertile): 0.17 [0.05, 0.56] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023052 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Chronic kidney disease | — | — | Hazard ratio (HR, high vs low tertile): 1.08 [1.02, 1.15] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023053 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Atrial fibrillation | — | — | Hazard ratio (HR, high vs low tertile): 0.91 [0.84, 0.98] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023441 | PGS005398 (T1D_PRS_combined) |
PSS012186| European Ancestry| 2,771 individuals |
PGP000781 | Qu HQ et al. Diabetes Res Clin Pract (2026) |
Reported Trait: Type 1 diabetes diagnosis | OR: 1.586 [1.42, 1.771] | AUROC: 0.629 [0.6, 0.658] | — | — | — |
| PPM023442 | PGS005399 (T1D_PRS_male) |
PSS012188| European Ancestry| 1,435 individuals |
PGP000781 | Qu HQ et al. Diabetes Res Clin Pract (2026) |
Reported Trait: Type 1 diabetes diagnosis | OR: 1.896 [1.627, 2.21] | AUROC: 0.668 [0.629, 0.707] | delta AUC (sex‑specific-all‑samples): 0.0444 [0.0341, 0.0546] | — | DeLong's test (2‑correlated ROC curves): Z = -8.4547, p < 2.2 × 10⁻¹⁶ ; Bootstrap test (2,000 stratified replicates): D = -8.3838, p < 2.2 × 10⁻¹⁶ |
| PPM023443 | PGS005400 (T1D_PRS_female) |
PSS012187| European Ancestry| 1,336 individuals |
PGP000781 | Qu HQ et al. Diabetes Res Clin Pract (2026) |
Reported Trait: Type 1 diabetes diagnosis | OR: 2.316 [1.962, 2.732] | AUROC: 0.719 [0.682, 0.756] | delta AUC (sex‑specific-all‑samples): 0.084 [0.0646, 0.1035] | — | DeLong's test (2‑correlated ROC curves): Z = -8.4667, p < 2.2 × 10⁻¹⁶; Bootstrap test (2,000 stratified replicates): D = -8.3857, p < 2.2 × 10⁻¹⁶ |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS011643 | — | — | [
|
— | European | — | UKB | — |
| PSS009164 | — | — | 1,354 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS012104 | — | — | 911 individuals | — | Asian unspecified | — | MVP | — |
| PSS008659 | — | — | 5,445 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) |
| PSS003667 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS003668 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS003669 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS003670 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008674 | — | — | 6,535 individuals | — | European | Italy (South Europe) | 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 | — |
| PSS004188 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004190 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004191 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004192 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004193 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004706 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004707 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004708 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004709 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004710 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004194 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004195 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004196 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004197 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008183 | — | — | 6,094 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011246 | — | — | [
|
— | South Asian | — | G&H | — |
| 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 | — |
| 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) |
| PSS008718 | — | — | 2,442 individuals | — | European | Italy (South 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 | — |
| 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. |
| PSS008213 | — | — | 5,277 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011224 | — | — | [
|
— | European | — | EB | — |
| PSS011222 | — | — | [
|
— | European | — | EB | — |
| 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 | — |
| PSS012104 | — | — | 73,872 individuals | — | European | — | MVP | — |
| PSS012104 | — | — | 25,274 individuals | — | African unspecified | — | MVP | — |
| PSS012104 | — | — | 9,537 individuals | — | Hispanic or Latin American | — | MVP | — |
| PSS009893 | — | — | 366 individuals | — | African American or Afro-Caribbean | — | SEARCH | — |
| PSS009894 | — | — | 412 individuals | — | Hispanic or Latin American | — | SEARCH | — |
| PSS009895 | — | — | 1,168 individuals | — | European | — | SEARCH | — |
| PSS008169 | — | — | 5,228 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS009896 | — | — | 99 individuals | — | Not reported | — | SEARCH | — |
| PSS011235 | T1D, ICD10: E10, ICD9: 250[0|1]1 (exclude E11) | — | [
|
— | European | — | FinnGen | — |
| PSS011233 | RHEUMA_SEROPOS_OTH, ICD10: M05[8-9], ICD9: 7140A | — | [
|
— | European | — | FinnGen | — |
| PSS008228 | — | — | 6,185 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS000026 | Cases were defined on the presence or absence of severe insulin deficiency (requiring insulin treatment at 3 years after diagnosis). We cate- gorized people as severely insulin defi- cient if they received continuous insulin treatment at ,3 years from the time of diagnosis and had a low measured C-peptide level (nonfasting measured ,0.6 nmol/L or equivalent fasting blood glucose level or posthome meal urine C-peptide–to–creatinine ratio) | — | [ ,
46.3 % Male samples |
— | European | — | P2ID | A cross-sectional cohort of people in whom diabetes was diagnosed between the ages of 20 and 40 years (n = 223), who had had diabetes for .3 years, and who had self-reported as white European from Devon and Cornwall in South West England. Known monogenic diabetes and secondary diabetes pa- tients were excluded. |
| 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 |
| PSS000028 | Type 1 diabetes status was assigned according to clinician diagnosis. | — | [ ,
44.84 % Male samples |
— | Hispanic or Latin American | Samples labeled Caucasian (Hispanic ethnicity) in the original publication. | UFDI | Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses. |
| PSS000438 | — | — | [
|
— | European | — | NR | The replication cohort is described in Langefeld et al. (PMID:28714469) |
| PSS000029 | Type 1 diabetes status was assigned according to clinician diagnosis. | — | [ ,
47.34 % Male samples |
— | European | Samples labeled Caucasian (non-Hispanic) in the original publication. | UFDI | Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses. |
| PSS000027 | Type 1 diabetes status was assigned according to clinician diagnosis. | — | [ ,
33.78 % Male samples |
— | African American or Afro-Caribbean | — | UFDI | Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses. |
| 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 |
| PSS008680 | — | — | 6,241 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008234 | — | — | 5,728 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008681 | — | — | 6,216 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008235 | — | — | 5,671 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011248 | — | — | [
|
— | South Asian | — | G&H | — |
| PSS000030 | — | — | [
|
— | African unspecified | — | 7 cohorts
|
— |
| PSS000031 | Cases are diagnosed with type 1 diabetes. | — | [
|
— | African unspecified | — | UOF | — |
| PSS000032 | Type 1 Diabetes Case Definition = Clinical diagnosis of diabetes at less than or equal to 20 years of age; On insulin within 1 year from the time of diagnosis; Still on insulin at the time of recruit- ment; Not using oral antihyperglycemic agents; Did not ever self-report as having type 2 diabetes (T2D) | — | [
|
— | European | — | 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) |
| PSS007737 | — | — | 2,200 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS011264 | — | — | [
|
— | European | — | HUNT | — |
| PSS011262 | — | — | [
|
— | European | — | HUNT | — |
| PSS007749 | — | — | 2,390 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009287 | — | — | 18,975 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011275 | — | — | [
|
— | European | — | UKB | — |
| PSS011277 | — | — | [
|
— | European | — | UKB | — |
| PSS008270 | — | — | 908 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS012186 | Type 1 diabetes, diagnosed by physician; cases confirmed through clinical criteria at CHOP. ICD-10 code E10 used where available. | — | [ ,
51.7 % Male samples |
— | European | — | CHOP | Independent validation cohort recruited through the Children's Hospital of Philadelphia (CHOP). No overlap with discovery GWAS samples. |
| PSS009301 | — | — | 19,299 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS012187 | Type 1 diabetes, diagnosed by physician; cases confirmed through clinical criteria at CHOP. ICD-10 code E10 used where available. | — | [ ,
0.0 % Male samples |
— | European | — | CHOP | Independent validation cohort recruited through the Children's Hospital of Philadelphia (CHOP). No overlap with discovery GWAS samples. |
| PSS011465 | — | — | 9,462 individuals | — | European | — | AllofUs | — |
| PSS012188 | Type 1 diabetes, diagnosed by physician; cases confirmed through clinical criteria at CHOP. ICD-10 code E10 used where available. | — | [ ,
100.0 % Male samples |
— | European | — | CHOP | Independent validation cohort recruited through the Children's Hospital of Philadelphia (CHOP). No overlap with discovery GWAS samples. |
| PSS011295 | — | — | 1,798 individuals | — | Not reported | — | NR | StartRight |
| PSS007778 | — | — | 2,091 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS011474 | — | — | 8,837 individuals | — | South Asian | — | G&H | — |
| PSS011296 | 22,667 sibling pairs | — | 45,334 individuals | — | European | — | UKB | — |
| 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 | — |
| PSS007793 | — | — | 2,428 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009930 | — | — | [
|
— | European | — | NR | Average Cohort Size. Overlaps GWAS Cohorts; however performance metrics are derived using a leave-one-cohort-out cross-validation to minimize overlap |
| 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 | — |
| PSS009331 | — | — | 16,106 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS000321 | Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases | Median = 16.0 years | [ ,
43.0 % Male samples |
— | European, African unspecified, Asian unspecified, NR | Primarily European, African and Asian ancestry | eMERGE | — |
| PSS000322 | Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases | Median = 16.0 years | [ ,
43.0 % Male samples |
— | European, African unspecified, Asian unspecified, NR | Primarily European, African and Asian ancestry | eMERGE | — |
| 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 | — |
| PSS011009 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 10,013 individuals, 46.0 % Male samples |
Mean = 55.9 years Sd = 13.9 years |
East Asian, South East Asian, Native American, South Asian, Other | Self-identified race = Other | BioMe | — |
| PSS011010 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 11,443 individuals, 39.0 % Male samples |
Mean = 48.4 years Sd = 14.1 years |
African American or Afro-Caribbean | Self-identified race = Black | BioMe | — |
| PSS009346 | — | — | 19,585 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011010 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 19,524 individuals, 37.0 % Male samples |
Mean = 50.3 years Sd = 15.3 years |
Hispanic or Latin American | Self-identified race = Hispanic | BioMe | — |
| PSS008840 | — | — | 3,490 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS009352 | — | — | 18,393 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009353 | — | — | 18,262 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011010 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 10,013 individuals, 46.0 % Male samples |
Mean = 55.9 years Sd = 13.9 years |
East Asian, South East Asian, Native American, South Asian, Other | Self-identified race = Other | BioMe | — |
| PSS011011 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 16,663 individuals, 48.0 % Male samples |
Mean = 51.9 years Sd = 14.8 years |
European | Self-identified race = White | BioMe | — |
| PSS011342 | — | — | [ ,
46.0 % Male samples |
— | European (White British) |
— | UKB | — |
| PSS000489 | The diagnosttic criteria for each disease was based on gold-standard clinical guidelines. | — | 339 individuals | — | European (Spanish) |
— | PRECISESADS | — |
| PSS000490 | Cases included physician-confirmed psoriatic arthritis (PsA). Controls inclded individuals with psoriasis with no history of joint symptoms (psoriasis only - PsO). | — | [
|
— | NR | — | NR | — |
| PSS000059 | — | — | [
|
— | European (Finnish) |
— | FINRISK, Health2000 | — |
| PSS000060 | — | — | [
|
— | European (British) |
— | NR | Immunochip |
| PSS000061 | — | — | [
|
— | European (Italian) |
— | NR | — |
| PSS000062 | — | — | [
|
— | European (Dutch) |
— | NR | — |
| PSS000063 | — | — | [
|
— | European (British) |
— | NR | — |
| PSS008853 | — | — | 3,790 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS007834 | — | — | 400 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS000064 | — | — | [
|
— | European | — | NIDDK | — |
| PSS000065 | The HLA-DQ2.5-positive subset of NIDDK-CIDR | — | [
|
— | European | — | NIDDK | HLA alleles were imputed using SNP2HLA |
| PSS011762 | — | — | 8,417 individuals | — | European | — | BBofA | — |
| PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |
| PSS009390 | — | — | 7,142 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS008882 | — | — | 3,455 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008897 | — | — | 3,872 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008391 | — | — | 1,107 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | 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. |
| PSS008903 | — | — | 3,634 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS004423 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004424 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS000083 | Cases were clinically diagnosed with T1D before 17 years of age and treated with insulin from diagnosis. Patients with known MODY or NDM were excluded. | — | [
|
— | European | — | WTCCC | Cases with Type 1 Diabetes |
| PSS000083 | MODY patients with a confirmed monogenic etiology on genetic testing (415 patients with HNF1A MODY, 346 with GCK MODY, 42 with HNF4A MODY, and 2 with HNF1B MODY). The median age of diagnosis was 20 years (interquartile range 15, 30), and 532 patients were female. | — | [ ,
33.91 % Male samples |
— | European | — | NR | Maturity-onset diabetes of young (MODY) cases ascertained from the Genetic Βeta Cell Research Bank, Exeter, U.K. |
| PSS004425 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004458 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004426 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| 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 | — |
| PSS011531 | Cases were individuals with T1D | — | [ ,
53.51 % Male samples |
— | 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) |
| PSS010115 | — | — | [
|
— | East Asian (Taiwanese) |
— | NR | TPMI |
| PSS011532 | Cases were individuals with T1D | — | [ ,
53.79 % Male samples |
— | European | — | NR | — |
| PSS008938 | — | — | 526 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS004457 | — | — | [
|
— | African unspecified | — | 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 | — |
| PSS004459 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004460 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| 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 |
| 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 |
| PSS008448 | — | — | 1,184 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| 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) |
| PSS007956 | — | — | 1,729 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 |
| PSS008492 | — | — | 208 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS000368 | TEDDY children were followed prospectively from 3–4 months of age, with visits every 3 months until 4 years of age. Each evaluation tested the three islet antibodies (GADA, IA2A and IAA), changes in family history, as well as other measurements specified by the TEDDY protocol. After 4 years of age, children with any islet autoantibodies remained on quarterly visits, while antibody-negative children were evaluated every 6 months. Children were followed prospectively until 15 years of age or until T1D onset, as defined using the American Diabetes Association’s criteria for diagnosis (doi: 10.1196/annals.1447.062) | Median = 9.3 years Range = [0.0833, 14.0] years |
[ ,
50.86 % Male samples |
Range = [3.0, 4.0] years | NR | — | TEDDY | From 2004–2010, 424,788 newborns were screened at six US and European centers for high-risk HLA genotypes. TEDDY then enrolled 8,676 eligible infants with the intent to follow them until 15 years of age. The three major eligible HLA DR–DQ haplotypes are DR3–DQA1*0501–DQB1*0201, DR4–DQA1*0301–DQB1*0302 and DR8–DQA1*0401–DQB1*0402. |
| PSS008009 | — | — | 1,785 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008014 | — | — | 1,754 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008433 | — | — | 998 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | 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 | — |
| PSS011636 | — | — | [
|
— | European | — | EB | — |
| PSS011637 | — | — | [
|
— | European | — | FinnGen | — |
| PSS011638 | — | — | [
|
— | European | — | G&H | — |
| PSS011639 | — | — | [
|
— | European | — | GS:SFHS | — |
| PSS011640 | — | — | [
|
— | European | — | GEL | — |
| PSS011641 | — | — | [
|
— | European | — | HUNT | — |
| PSS011642 | — | — | [
|
— | European | — | MGBB | — |
| PSS004570 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004571 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004572 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004573 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004574 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| 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 | — |
| PSS009061 | — | — | 3,954 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS011001 | — | — | [
|
— | European | — | UKB | — |
| PSS010999 | — | — | [
|
— | European | — | UKB | — |
| PSS011000 | — | — | [
|
— | European | — | UKB | — |
| PSS010998 | — | — | [
|
— | European | — | MGI | — |
| 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 | — |
| PSS011009 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 16,663 individuals, 48.0 % Male samples |
Mean = 51.9 years Sd = 14.8 years |
European | Self-identified race = White | BioMe | — |
| PSS011009 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 11,443 individuals, 39.0 % Male samples |
Mean = 48.4 years Sd = 14.1 years |
African American or Afro-Caribbean | Self-identified race = Black | BioMe | — |
| PSS001084 | Moderate Age-Related Diabetes (MARD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001085 | Moderate Obesity-related Diabetes (MOD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001086 | Severe Autoimmune Diabetes (SAID) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001087 | Severe Insulin-Deficient Diabetes (SIDD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001088 | Severe Insulin-Resistant Diabetes (SIRD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS011009 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 19,524 individuals, 37.0 % Male samples |
Mean = 50.3 years Sd = 15.3 years |
Hispanic or Latin American | Self-identified race = Hispanic | BioMe | — |
| PSS011012 | — | — | 34,939 individuals, 47.0 % Male samples |
Mean = 59.1 years Sd = 16.9 years |
European | Self-identified race = white | MGBB | — |
| PSS011012 | — | — | 2,101 individuals, 37.0 % Male samples |
Mean = 52.1 years Sd = 16.3 years |
African American or Afro-Caribbean (Black) |
— | MGBB | — |
| PSS011012 | — | — | 1,269 individuals, 34.0 % Male samples |
Mean = 46.4 years Sd = 16.1 years |
Hispanic or Latin American (Hispanic) |
— | MGBB | — |
| PSS011012 | — | — | 1,511 individuals, 36.0 % Male samples |
Mean = 46.9 years Sd = 16.3 years |
Native American, Asian unspecified, Oceanian, Other | — | MGBB | — |
| PSS000381 | Control subjects (n = 40) were paediatric general gastroenterology patients whom were negative for coeliac disease by both intestinal biopsy and negative tissue transglutaminase serology. | — | [ ,
48.0 % Male samples |
Mean = 4.9 years Sd = 4.0 years |
NR | — | STOLLERY_CC | — |
| PSS000381 | Diagnosis of coeliac disease was made by a modification of European serological diagnostic guidelines for patients referred to a tertiary paediatric clinic in Alberta, Canada, for consideration of coeliac disease diagnosis | — | [ ,
63.0 % Male samples |
Mean = 8.6 years Sd = 3.9 years |
NR | — | STOLLERY_CC | — |
| PSS000381 | Diagnosis of coeliac disease was made by endoscopy for patients referred to a tertiary paediatric clinic in Alberta, Canada, for consideration of coeliac disease diagnosis | — | [ ,
57.0 % Male samples |
Mean = 7.5 years Sd = 3.8 years |
NR | — | STOLLERY_CC | — |
| PSS000382 | Coeliac disease cases were identified using either hospital admission code and/or self‐reported coeliac disease. | — | [
|
— | European | — | UKB | — |
| PSS011014 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 34,939 individuals, 47.0 % Male samples |
Mean = 59.1 years Sd = 16.9 years |
European | Self-identified race = White | MGBB | — |
| PSS000970 | — | Median = 400.0 days | 1,584 individuals | — | European | — | GNEHGI2020Q2 | — |
| PSS011013 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 2,101 individuals, 37.0 % Male samples |
Mean = 52.1 years Sd = 16.3 years |
African American or Afro-Caribbean | Self-identified race = Black | MGBB | — |
| PSS011013 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 1,269 individuals, 34.0 % Male samples |
Mean = 46.4 years Sd = 16.1 years |
Hispanic or Latin American | Self-identified race = Hispanic | MGBB | — |
| PSS011013 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 1,511 individuals, 36.0 % Male samples |
Mean = 46.9 years Sd = 16.3 years |
Native American, Asian unspecified, Oceanian, Other | Self-identified race = Other | MGBB | — |
| PSS009105 | — | — | 3,509 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS001092 | All individuals had cystic fibrosis with either 2 severe CFTR mutations and/or clinically diagnosed exocrine pancreatic insufficiency. Cases are individuals with cystic fibrosis related diabetes (CFRD).Phenotypes were obtained from extracted medical charts and CF Foundation Patient Registry through 2011. CFRD was defined by clinician diagnosis of diabetes plus insulin treatment for at least 1 year. The onset of CFRD was defined as the date at which insulin was started, if it was subsequently continued for at least 1 year. In approximately 50% of the participants, independent laboratory data (such as oral glucose tolerance test or hemoglobin A1c) were able to independently confirm the diagnosis of CFRD. Diabetes data were censored at the last clinic visit or date of solid organ transplant. | — | [ ,
47.04 % Male samples |
Mean = 20.0 years | Not reported | — | CGS, CWRU, FrGMC, JHU, UNC | — |
| PSS009120 | — | — | 4,047 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS004637 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS009126 | — | — | 3,878 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS004639 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004640 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004641 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008615 | — | — | 6,300 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS009127 | — | — | 3,854 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS008629 | — | — | 6,463 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS012069 | Cases - ICD-9-CM codes: 193, V10.87, ICD-10-CM billing codes: C73, Z85.850, ICD-9 codes: 193, V10.87, ICD-10 codes: C73, SNOMED: 92767001 Carcinoma in situ of thyroid gland, 363478007 Malignant tumor of thyroid gland, 255028004 Follicular thyroid carcinoma, 423158009 Hurthle cell carcinoma of thyroid, 772992009 Primary differentiated carcinoma of thyroid gland. Controls - ICD-9-CM codes: 241 Nontoxic nodular goiter, 241.0 Nontoxic uninodular goiter, 241.1 Nontoxic multinodular goiter, 241.9 Unspecified nontoxic nodular goiter ICD-10-CM billing codes: E01.1 Iodine-deficiency related multinodular (endemic) goiter, E04.1 Nontoxic single thyroid nodule, E04.2 Nontoxic multinodular goiter, E04.8 Other specified nontoxic goiter, E04.9 Nontoxic goiter, unspecified, ICD-9-CM codes: 241 Nontoxic nodular goiter, 241.0 Nontoxic uninodular goiter, 241.1 Nontoxic multinodular goiter, 241.9 Unspecified nontoxic nodular goiter, ICD-10 codes: E01.1 Iodine-deficiency related multinodular (endemic) goiter, E04.1 Nontoxic single thyroid nodule, E04.2 Nontoxic multinodular goiter, E04.8 Other specified nontoxic goiter, E04.9 Nontoxic goiter, unspecified, SNOMED: 419153005 Nodular goiter, 190236006 Non-toxic nodular goiter, 66392007 Substernal goiter, 60968001 Adenomatous goiter | — | 94,651 individuals | — | African American or Afro-Caribbean, Hispanic or Latin American, European | — | CCPM | — |