Trait: autoimmune disease

Experimental Factor Ontology (EFO) Information
Identifier EFO_0005140
Description Autoimmune disease or disorder is a disease characterized by an immune response of an organism against parts of itself causing pathology e.g. Graves' disease.
Trait category
Immune system disorder
Synonym autoimmunity
Mapped terms 8 mapped terms
  • MedDRA:10003814
  • NCIt:C2889
  • OBI:OBI_1110054
  • OMIM:613551
  • OMIM:615952
  • OMIM:617006
  • SNOMEDCT:85828009
  • http://purl.obolibrary.org/obo/OBI_1110054
Child trait(s) 19 child traits

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "autoimmune disease" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000017
(GPS_IBD)
PGP000006 |
Khera AV et al. Nat Genet (2018)
Inflammatory bowel disease inflammatory bowel disease 6,907,112
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000017/ScoringFiles/PGS000017.txt.gz - Check Terms/Licenses
PGS000114
(GRS-JIA-20)
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Juvenile Idiopathic Arthritis juvenile idiopathic arthritis 26
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000114/ScoringFiles/PGS000114.txt.gz
PGS000194
(G-PROB_Rapos)
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Rheumatoid Arthritis (CCP-positive) ACPA-positive rheumatoid arthritis 250
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000194/ScoringFiles/PGS000194.txt.gz
PGS000195
(G-PROB_Raneg)
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Rheumatoid Arthritis (CCP-negative) ACPA-negative rheumatoid arthritis 250
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000195/ScoringFiles/PGS000195.txt.gz
PGS000196
(G-PROB_SLE)
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Systemic lupus eythematosus systemic lupus erythematosus 250
-
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 250
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000198/ScoringFiles/PGS000198.txt.gz
PGS000324
(GRS-JIA-ERA-20)
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Enthesitis-related Juvenile Idiophatic Arthritis enthesitis-related juvenile idiopathic arthritis 138
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000324/ScoringFiles/PGS000324.txt.gz
PGS000325
(GRS-JIA-Oli-20)
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Oligoarthritis Juvenile Idiophatic Arthritis oligoarticular juvenile idiopathic arthritis 21
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000325/ScoringFiles/PGS000325.txt.gz
PGS000326
(GRS-JIA-RFN-20)
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Rheumatoid-factor-negative Polyarthritis (Juvenile Idiophatic Arthritis) polyarticular juvenile idiopathic arthritis, rheumatoid factor negative 12
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000326/ScoringFiles/PGS000326.txt.gz
PGS000328
(GRS_SLE)
PGP000099 |
Reid S et al. Ann Rheum Dis (2019)
Systemic lupus erythematosus systemic lupus erythematosus 57
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000328/ScoringFiles/PGS000328.txt.gz
PGS000342
(wGRS_PsA)
PGP000111 |
Smith MP et al. J Psoriasis Psoriatic Arthritis (2020)
Psoriatic arthritis psoriatic arthritis 11
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000342/ScoringFiles/PGS000342.txt.gz
PGS000343
(wGRS_PsA_HLA)
PGP000111 |
Smith MP et al. J Psoriasis Psoriatic Arthritis (2020)
Psoriatic arthritis psoriatic arthritis 5
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000343/ScoringFiles/PGS000343.txt.gz
PGS000738
(CONFIRMED_PGS)
PGP000145 |
Roberts GHL et al. Am J Hum Genet (2019)
Vitiligo Vitiligo 48
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000738/ScoringFiles/PGS000738.txt.gz
PGS000754
(PRS_SLE)
PGP000160 |
Wang YF et al. Nat Commun (2021)
Systemic lupus erythrmatosus systemic lupus erythematosus 293,684
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000754/ScoringFiles/PGS000754.txt.gz
PGS000760
(VIT)
PGP000164 |
Khan Z et al. Nat Commun (2021)
Vitiligo Vitiligo 42
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000760/ScoringFiles/PGS000760.txt.gz
PGS000771
(GRS95_SLEmain)
PGP000178 |
Chen L et al. Hum Mol Genet (2020)
Systemic lupus erythematosus systemic lupus erythematosus 95
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000771/ScoringFiles/PGS000771.txt.gz
PGS000772
(GRS95_SLEgen)
PGP000178 |
Chen L et al. Hum Mol Genet (2020)
Systemic lupus erythematosus systemic lupus erythematosus 95
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000772/ScoringFiles/PGS000772.txt.gz
PGS000803
(wGRS41_SLE)
PGP000192 |
Kawai VK et al. Lupus (2021)
Systemic lupus erythematosus systemic lupus erythematosus 41
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000803/ScoringFiles/PGS000803.txt.gz
PGS000809
(PRS127_MS)
PGP000194 |
Barnes CLK et al. Eur J Hum Genet (2021)
Multiple sclerosis multiple sclerosis 127
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000809/ScoringFiles/PGS000809.txt.gz
PGS001042
(GBE_HC645)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Thyrotoxicosis [hyperthyroidism] (time-to-event) Thyrotoxicosis 226
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001042/ScoringFiles/PGS001042.txt.gz
PGS001043
(GBE_HC55)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Hyperthyroidism, thyrotoxicosis Hyperthyroidism,
Thyrotoxicosis
69
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001043/ScoringFiles/PGS001043.txt.gz
PGS001110
(GBE_HC1209)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reactive arthropathies (time-to-event) reactive arthritis 6
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001110/ScoringFiles/PGS001110.txt.gz
PGS001267
(GBE_HC422)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Ankylosing spondylitis ankylosing spondylitis 10
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001267/ScoringFiles/PGS001267.txt.gz
PGS001268
(GBE_HC1242)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Ankylosing spondylitis (time-to-event) ankylosing spondylitis 10
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001268/ScoringFiles/PGS001268.txt.gz
PGS001270
(GBE_HC151)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Multiple sclerosis multiple sclerosis 41
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001270/ScoringFiles/PGS001270.txt.gz
PGS001271
(GBE_HC810)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Multiple sclerosis (time-to-event) multiple sclerosis 36
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001271/ScoringFiles/PGS001271.txt.gz
PGS001287
(GBE_HC91)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Psoriatic arthropathy psoriatic arthritis 36
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001287/ScoringFiles/PGS001287.txt.gz
PGS001288
(GBE_HC95)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Inflammatory bowel disease inflammatory bowel disease 195
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001288/ScoringFiles/PGS001288.txt.gz
PGS001306
(GBE_HC201)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Ulcerative colitis ulcerative colitis 179
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001306/ScoringFiles/PGS001306.txt.gz
PGS001307
(GBE_HC1102)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Ulcerative colitis (time-to-event) ulcerative colitis 809
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001307/ScoringFiles/PGS001307.txt.gz
PGS001308
(GBE_HC321)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Sjogren's syndrome/sicca syndrome Sjogren syndrome 7
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001308/ScoringFiles/PGS001308.txt.gz
PGS001309
(GBE_HC1212)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Other rheumatoid arthritis (time-to-event) rheumatoid arthritis 323
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001309/ScoringFiles/PGS001309.txt.gz
PGS001310
(GBE_HC430)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Rheumatoid arthritis rheumatoid arthritis 175
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001310/ScoringFiles/PGS001310.txt.gz
PGS001311
(GBE_HC1211)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Seropositive rheumatoid arthritis (time-to-event) rheumatoid arthritis 3
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001311/ScoringFiles/PGS001311.txt.gz
PGS001330
(GBE_HC1101)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Crohn's disease [regional enteritis] (time-to-event) Crohn's disease 220
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001330/ScoringFiles/PGS001330.txt.gz
PGS001331
(GBE_HC322)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Crohns disease Crohn's disease 257
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001331/ScoringFiles/PGS001331.txt.gz
PGS001369
(GBE_HC1090)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Acute appendicitis (time-to-event) appendicitis 4
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001369/ScoringFiles/PGS001369.txt.gz
PGS001536
(GBE_HC1188)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Vitiligo (time-to-event) Vitiligo 77
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001536/ScoringFiles/PGS001536.txt.gz
PGS001815
(portability-PLR_242)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Thyrotoxicosis with or without goiter Thyrotoxicosis 280
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001815/ScoringFiles/PGS001815.txt.gz
PGS001831
(portability-PLR_335)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Multiple sclerosis multiple sclerosis 491
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001831/ScoringFiles/PGS001831.txt.gz
PGS001855
(portability-PLR_555.2)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Ulcerative colitis ulcerative colitis 1,505
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001855/ScoringFiles/PGS001855.txt.gz
PGS001875
(portability-PLR_714.1)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Rheumatoid arthritis rheumatoid arthritis 256
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001875/ScoringFiles/PGS001875.txt.gz
PGS001876
(portability-PLR_715.2)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Ankylosing spondylitis ankylosing spondylitis 85
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001876/ScoringFiles/PGS001876.txt.gz
PGS002023
(portability-ldpred2_242)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Thyrotoxicosis with or without goiter Thyrotoxicosis 279,385
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002023/ScoringFiles/PGS002023.txt.gz
PGS002038
(portability-ldpred2_335)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Multiple sclerosis multiple sclerosis 129,077
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002038/ScoringFiles/PGS002038.txt.gz
PGS002066
(portability-ldpred2_555.2)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Ulcerative colitis ulcerative colitis 566,637
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002066/ScoringFiles/PGS002066.txt.gz
PGS002088
(portability-ldpred2_714.1)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Rheumatoid arthritis rheumatoid arthritis 95,083
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002088/ScoringFiles/PGS002088.txt.gz
PGS002089
(portability-ldpred2_715.2)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Ankylosing spondylitis ankylosing spondylitis 22,026
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002089/ScoringFiles/PGS002089.txt.gz
PGS002260
(PRS_RA)
PGP000286 |
Honda S et al. Arthritis Rheumatol (2022)
Rheumatoid arthritis rheumatoid arthritis 43,784
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002260/ScoringFiles/PGS002260.txt.gz
PGS002312
(disease_AID_ALL.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Autoimmune disease autoimmune disease 1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002312/ScoringFiles/PGS002312.txt.gz
PGS002359
(disease_AID_ALL.BOLT-LMM-BBJ)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Autoimmune disease autoimmune disease 920,927
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002359/ScoringFiles/PGS002359.txt.gz
PGS002384
(disease_AID_ALL.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Autoimmune disease autoimmune disease 2,563
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002384/ScoringFiles/PGS002384.txt.gz
PGS002433
(disease_AID_ALL.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Autoimmune disease autoimmune disease 13,075
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002433/ScoringFiles/PGS002433.txt.gz
PGS002482
(disease_AID_ALL.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Autoimmune disease autoimmune disease 88,404
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002482/ScoringFiles/PGS002482.txt.gz
PGS002531
(disease_AID_ALL.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Autoimmune disease autoimmune disease 382
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002531/ScoringFiles/PGS002531.txt.gz
PGS002580
(disease_AID_ALL.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Autoimmune disease autoimmune disease 206
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002580/ScoringFiles/PGS002580.txt.gz
PGS002629
(disease_AID_ALL.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Autoimmune disease autoimmune disease 159,127
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002629/ScoringFiles/PGS002629.txt.gz
PGS002678
(disease_AID_ALL.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Autoimmune disease autoimmune disease 923,726
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002678/ScoringFiles/PGS002678.txt.gz
PGS002726
(PGS_MS_Brain)
PGP000334 |
Shams H et al. Brain (2022)
Multiple sclerosis multiple sclerosis 476,399
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002726/ScoringFiles/PGS002726.txt.gz

Performance Metrics

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

PGS Performance
Metric ID (PPM)
Evaluated Score PGS Sample Set ID
(PSS)
Performance Source Trait PGS Effect Sizes
(per SD change)
Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
PPM000026 PGS000017
(GPS_IBD)
PSS000016|
European Ancestry|
288,978 individuals
PGP000006 |
Khera AV et al. Nat Genet (2018)
Reported Trait: Inflammatory bowel disease AUROC: 0.63 [0.62, 0.64] Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment): 0.021 age; sex; Ancestry PC 1-4; genotyping chip
PPM012874 PGS000017
(GPS_IBD)
PSS009588|
European Ancestry|
1,433 individuals
PGP000288 |
Garcia-Etxebarria K et al. Sci Rep (2022)
|Ext.
Reported Trait: Inflammatory Bowel Disease AUROC: 0.69 [0.66, 0.72]
PPM000262 PGS000114
(GRS-JIA-20)
PSS000179|
European Ancestry|
3,513 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Juvenile Idiopathic Arthritis OR: 1.838 [1.686, 2.007] AUROC: 0.735 [0.712, 0.758] sex, genetic PCs 1-10
PPM000263 PGS000114
(GRS-JIA-20)
PSS000180|
European Ancestry|
940 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Juvenile Idiopathic Arthritis OR: 2.085 [1.773, 2.471] AUROC: 0.738 [0.705, 0.77] sex, genetic PCs 1-10
PPM000260 PGS000114
(GRS-JIA-20)
PSS000179|
European Ancestry|
3,513 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Juvenile Idiopathic Arthritis OR: 1.831 [1.685, 1.991] AUROC: 0.657 [0.631, 0.683]
PPM000261 PGS000114
(GRS-JIA-20)
PSS000180|
European Ancestry|
940 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Juvenile Idiopathic Arthritis OR: 2.008 [1.731, 2.345] AUROC: 0.671 [0.635, 0.706]
PPM000577 PGS000194
(G-PROB_Rapos)
PSS000315|
European Ancestry|
243 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis AUROC: 0.69 [0.63, 0.76] RAN_Gprob (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit)
PPM000571 PGS000194
(G-PROB_Rapos)
PSS000314|
European Ancestry|
245 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis AUROC: 0.75 [0.68, 0.81] G-PROB_Raneg (Setting II: Assigning patient diagnoses based on medical records)
PPM000565 PGS000194
(G-PROB_Rapos)
PSS000322|
Multi-ancestry (including European)|
1,211 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis AUROC: 0.69 [0.65, 0.72] G-PROB_Raneg (Setting I: Assigning patient diagnoses based on billing codes)
PPM000578 PGS000195
(G-PROB_Raneg)
PSS000315|
European Ancestry|
243 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis AUROC: 0.69 [0.63, 0.76] G-PROB_Rapos (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit)
PPM000572 PGS000195
(G-PROB_Raneg)
PSS000314|
European Ancestry|
245 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis AUROC: 0.75 [0.68, 0.81] G-PROB_Rapos (Setting II: Assigning patient diagnoses based on medical records)
PPM000566 PGS000195
(G-PROB_Raneg)
PSS000322|
Multi-ancestry (including European)|
1,211 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis AUROC: 0.69 [0.65, 0.72] G-PROB_Rapos (Setting I: Assigning patient diagnoses based on billing codes)
PPM000579 PGS000196
(G-PROB_SLE)
PSS000319|
European Ancestry|
243 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Systemic lupus erythematosus diagnosis in patient with arthritis AUROC: 0.61 [0.27, 0.86] (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit)
PPM000573 PGS000196
(G-PROB_SLE)
PSS000318|
European Ancestry|
245 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Systemic lupus erythematosus diagnosis in patient with arthritis AUROC: 0.79 [0.72, 0.85] (Setting II: Assigning patient diagnoses based on medical records)
PPM000567 PGS000196
(G-PROB_SLE)
PSS000324|
Multi-ancestry (including European)|
1,211 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Systemic lupus erythematosus diagnosis in patient with arthritis AUROC: 0.74 [0.7, 0.78] (Setting I: Assigning patient diagnoses based on billing codes)
PPM000581 PGS000198
(G-PROB_PsA)
PSS000313|
European Ancestry|
243 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Psoriatic arthritis diagnosis in patient with arthritis AUROC: 0.62 [0.48, 0.8] (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit)
PPM000575 PGS000198
(G-PROB_PsA)
PSS000312|
European Ancestry|
245 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Psoriatic arthritis diagnosis in patient with arthritis AUROC: 0.71 [0.63, 0.82] (Setting II: Assigning patient diagnoses based on medical records)
PPM000569 PGS000198
(G-PROB_PsA)
PSS000321|
Multi-ancestry (including European)|
1,211 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Psoriatic arthritis diagnosis in patient with arthritis AUROC: 0.61 [0.52, 0.69] (Setting I: Assigning patient diagnoses based on billing codes)
PPM000874 PGS000324
(GRS-JIA-ERA-20)
PSS000432|
European Ancestry|
594 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Enthesitis-related Arthritis OR: 3.09 [2.07, 5.04] AUROC: 0.93 [0.86, 0.99] sex, genetic PCs 1-10
PPM000873 PGS000324
(GRS-JIA-ERA-20)
PSS000429|
European Ancestry|
3,020 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Enthesitis-related Arthritis OR: 1.86 [1.61, 2.14] AUROC: 0.75 [0.68, 0.82] sex, genetic PCs 1-10
PPM000867 PGS000324
(GRS-JIA-ERA-20)
PSS000429|
European Ancestry|
3,020 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Enthesitis-related Arthritis OR: 1.84 [1.6, 2.17] AUROC: 0.7 [0.63, 0.77]
PPM000868 PGS000324
(GRS-JIA-ERA-20)
PSS000432|
European Ancestry|
594 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Enthesitis-related Arthritis OR: 2.99 [2.11, 4.54] AUROC: 0.84 [0.71, 0.97]
PPM000875 PGS000325
(GRS-JIA-Oli-20)
PSS000430|
European Ancestry|
3,157 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Oligoarthritis Juvenile Idiophatic Arthritis OR: 1.93 [1.75, 2.13] AUROC: 0.8 [0.77, 0.84] sex, genetic PCs 1-10
PPM000876 PGS000325
(GRS-JIA-Oli-20)
PSS000433|
European Ancestry|
737 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Oligoarthritis Juvenile Idiophatic Arthritis OR: 2.19 [1.81, 2.71] AUROC: 0.79 [0.76, 0.83] sex, genetic PCs 1-10
PPM000869 PGS000325
(GRS-JIA-Oli-20)
PSS000430|
European Ancestry|
3,157 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Oligoarthritis Juvenile Idiophatic Arthritis OR: 1.93 [1.76, 2.11] AUROC: 0.77 [0.73, 0.8]
PPM000870 PGS000325
(GRS-JIA-Oli-20)
PSS000433|
European Ancestry|
737 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Oligoarthritis Juvenile Idiophatic Arthritis OR: 2.24 [1.88, 2.71] AUROC: 0.74 [0.7, 0.79]
PPM000878 PGS000326
(GRS-JIA-RFN-20)
PSS000434|
European Ancestry|
653 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Rheumatoid-factor-negative Polyarthritis OR: 1.71 [1.42, 2.07] AUROC: 0.74 [0.68, 0.8] sex, genetic PCs 1-10
PPM000872 PGS000326
(GRS-JIA-RFN-20)
PSS000434|
European Ancestry|
653 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Rheumatoid-factor-negative Polyarthritis OR: 1.69 [1.42, 2.02] AUROC: 0.66 [0.59, 0.73]
PPM000877 PGS000326
(GRS-JIA-RFN-20)
PSS000431|
European Ancestry|
3,089 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Rheumatoid-factor-negative Polyarthritis OR: 1.51 [1.35, 1.68] AUROC: 0.76 [0.72, 0.8] sex, genetic PCs 1-10
PPM000871 PGS000326
(GRS-JIA-RFN-20)
PSS000431|
European Ancestry|
3,089 individuals
PGP000052 |
Cánovas R et al. Ann Rheum Dis (2020)
Reported Trait: Rheumatoid-factor-negative Polyarthritis OR: 1.48 [1.33, 1.64] AUROC: 0.64 [0.59, 0.69]
PPM000882 PGS000328
(GRS_SLE)
PSS000438|
European Ancestry|
15,383 individuals
PGP000099 |
Reid S et al. Ann Rheum Dis (2019)
Reported Trait: Systemic lupus erythematosus AUROC: 0.71 Odds Ratio (OR; highest vs. lowest quartile): 7.48 [6.73, 8.32]
PPM000880 PGS000328
(GRS_SLE)
PSS000436|
European Ancestry|
3,803 individuals
PGP000099 |
Reid S et al. Ann Rheum Dis (2019)
Reported Trait: Systemic lupus erythematosus AUROC: 0.78 Odds Ratio (OR; highest vs. lowest quartile): 12.32 [9.53, 15.71]
PPM000883 PGS000328
(GRS_SLE)
PSS000436|
European Ancestry|
3,803 individuals
PGP000099 |
Reid S et al. Ann Rheum Dis (2019)
Reported Trait: Systemic Lupus damage score (SDI) OR: 1.13 [1.03, 1.24] Odds Ratio (OR; highest vs. lowest quartile): 1.47 [1.06, 2.04]
PPM000881 PGS000328
(GRS_SLE)
PSS000437|
European Ancestry|
1,001 individuals
PGP000099 |
Reid S et al. Ann Rheum Dis (2019)
Reported Trait: Systemic lupus erythematosus (onset before age 20) AUROC: 0.83
PPM000885 PGS000328
(GRS_SLE)
PSS000437|
European Ancestry|
1,001 individuals
PGP000099 |
Reid S et al. Ann Rheum Dis (2019)
Reported Trait: Nephritis in systemic lupus erythematosus patients Hazard Ratio (HR; highest vs. lowest quartile): 2.53 [1.72, 3.71]
PPM000884 PGS000328
(GRS_SLE)
PSS000436|
European Ancestry|
3,803 individuals
PGP000099 |
Reid S et al. Ann Rheum Dis (2019)
Reported Trait: Systemic lupus erythematosus (age-at-onset) Hazard Ratio (HR; highest vs. lowest quartile): 1.47 [1.22, 1.75]
PPM000971 PGS000342
(wGRS_PsA)
PSS000490|
Ancestry Not Reported|
543 individuals
PGP000111 |
Smith MP et al. J Psoriasis Psoriatic Arthritis (2020)
Reported Trait: Psoriatic arthritis AUROC: 0.562 [0.506, 0.618]
PPM000972 PGS000343
(wGRS_PsA_HLA)
PSS000490|
Ancestry Not Reported|
543 individuals
PGP000111 |
Smith MP et al. J Psoriasis Psoriatic Arthritis (2020)
Reported Trait: Psoriatic arthritis AUROC: 0.569 [0.513, 0.625]
PPM001761 PGS000738
(CONFIRMED_PGS)
PSS000907|
European Ancestry|
4,008 individuals
PGP000145 |
Roberts GHL et al. Am J Hum Genet (2019)
Reported Trait: Vitiligo Odds Ratio (OR, top 20% vs remaining 80% of score distribution): 4.87 [4.21, 5.64]
PPM001762 PGS000738
(CONFIRMED_PGS)
PSS000907|
European Ancestry|
4,008 individuals
PGP000145 |
Roberts GHL et al. Am J Hum Genet (2019)
Reported Trait: Vitiligo Odds Ratio (OR, top 10% vs remaining 90% of score distribution): 5.26 [4.42, 6.29]
PPM001763 PGS000738
(CONFIRMED_PGS)
PSS000907|
European Ancestry|
4,008 individuals
PGP000145 |
Roberts GHL et al. Am J Hum Genet (2019)
Reported Trait: Vitiligo Odds Ratio (OR, top 10% vs remaining 95% of score distribution): 6.2 [4.96, 7.79]
PPM001764 PGS000738
(CONFIRMED_PGS)
PSS000907|
European Ancestry|
4,008 individuals
PGP000145 |
Roberts GHL et al. Am J Hum Genet (2019)
Reported Trait: Vitiligo Odds Ratio (OR, top 1% vs remaining 99% of score distribution): 8.79 [5.85, 13.78]
PPM001919 PGS000754
(PRS_SLE)
PSS000963|
East Asian Ancestry|
2,589 individuals
PGP000160 |
Wang YF et al. Nat Commun (2021)
Reported Trait: Systemic lupus erythematosus AUROC: 0.76 [0.74, 0.78]
PPM001920 PGS000754
(PRS_SLE)
PSS000960|
European Ancestry|
1,340 individuals
PGP000160 |
Wang YF et al. Nat Commun (2021)
Reported Trait: Systemic lupus erythematosus AUROC: 0.65
PPM001921 PGS000754
(PRS_SLE)
PSS000961|
European Ancestry|
7,733 individuals
PGP000160 |
Wang YF et al. Nat Commun (2021)
Reported Trait: Systemic lupus erythematosus AUROC: 0.65
PPM001922 PGS000754
(PRS_SLE)
PSS000962|
European Ancestry|
1,112 individuals
PGP000160 |
Wang YF et al. Nat Commun (2021)
Reported Trait: Systemic lupus erythematosus AUROC: 0.62
PPM002076 PGS000754
(PRS_SLE)
PSS001027|
Additional Asian Ancestries|
3,996 individuals
PGP000188 |
Tangtanatakul P et al. Arthritis Res Ther (2020)
|Ext.
Reported Trait: Systemic lupus erythematosus AUROC: 0.76
PPM001935 PGS000760
(VIT)
PSS000970|
European Ancestry|
1,584 individuals
PGP000164 |
Khan Z et al. Nat Commun (2021)
Reported Trait: anti-PD-L1 induced hypothyroidism in cancer patients HR: 1.41 [1.22, 1.61] meta-analysis p-value: 1.10e-06 5 genotype PCs
PPM001996 PGS000771
(GRS95_SLEmain)
PSS000994|
European Ancestry|
524 individuals
PGP000178 |
Chen L et al. Hum Mol Genet (2020)
Reported Trait: Renal disease age of onset AUROC: 0.576 [0.518, 0.634] Renal disease is used as a proxy for systemic lupus erythematosus severity
PPM001998 PGS000771
(GRS95_SLEmain)
PSS000994|
European Ancestry|
524 individuals
PGP000178 |
Chen L et al. Hum Mol Genet (2020)
Reported Trait: Renal disease age of onset Odds Ratio (OR, top 20% vs bottom 20%): 3.155 [1.623, 6.133] Renal disease is used as a proxy for systemic lupus erythematosus severity
PPM001997 PGS000772
(GRS95_SLEgen)
PSS000993|
European Ancestry|
3,101 individuals
PGP000178 |
Chen L et al. Hum Mol Genet (2020)
Reported Trait: Renal disease Odds Ratio (OR, top 20% vs bottom 20%): 1.578 [1.25, 1.991] Renal disease is used as a proxy for systemic lupus erythematosus severity
PPM002100 PGS000803
(wGRS41_SLE)
PSS001038|
European Ancestry|
47,904 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Lupus (localised and systemic) OR: 1.73 [1.62, 1.85]
β: 0.546 (0.034)
PCs(1-5), median age in the electronic health record, sex
PPM002101 PGS000803
(wGRS41_SLE)
PSS001043|
European Ancestry|
18,722 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Lupus (localised and systemic) OR: 1.82 [1.66, 2.0] PCs(1-5), median age in the electronic health record, sex
PPM002102 PGS000803
(wGRS41_SLE)
PSS001035|
European Ancestry|
47,917 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Systemic lupus erythematosus OR: 1.71 [1.6, 1.82]
β: 0.534 (0.034)
PCs(1-5), median age in the electronic health record, sex
PPM002103 PGS000803
(wGRS41_SLE)
PSS001040|
European Ancestry|
18,698 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Systemic lupus erythematosus OR: 1.86 [1.69, 2.04] PCs(1-5), median age in the electronic health record, sex
PPM002104 PGS000803
(wGRS41_SLE)
PSS001037|
European Ancestry|
50,429 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Erythematous conditions OR: 1.28 [1.22, 1.34]
β: 0.246 (0.024)
PCs(1-5), median age in the electronic health record, sex
PPM002105 PGS000803
(wGRS41_SLE)
PSS001042|
European Ancestry|
21,474 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Erythematous conditions OR: 1.08 [1.04, 1.13] PCs(1-5), median age in the electronic health record, sex
PPM002106 PGS000803
(wGRS41_SLE)
PSS001034|
European Ancestry|
47,321 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Cutaneous lupus erythematosus OR: 1.79 [1.54, 2.08]
β: 0.582 (0.078)
PCs(1-5), median age in the electronic health record, sex
PPM002107 PGS000803
(wGRS41_SLE)
PSS001039|
European Ancestry|
18,422 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Cutaneous lupus erythematosus OR: 2.02 [1.71, 2.4] PCs(1-5), median age in the electronic health record, sex
PPM002108 PGS000803
(wGRS41_SLE)
PSS001036|
European Ancestry|
40,528 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Type 1 diabetes OR: 1.11 [1.06, 1.17]
β: 0.108 (0.024)
PCs(1-5), median age in the electronic health record, sex
PPM002109 PGS000803
(wGRS41_SLE)
PSS001041|
European Ancestry|
19,191 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Type 1 diabetes OR: 1.11 [1.05, 1.18] PCs(1-5), median age in the electronic health record, sex
PPM002110 PGS000803
(wGRS41_SLE)
PSS001036|
European Ancestry|
40,528 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Type 1 diabetes with renal manifestations OR: 1.41 [1.26, 1.59]
β: 0.346 (0.06)
PCs(1-5), median age in the electronic health record, sex
PPM002111 PGS000803
(wGRS41_SLE)
PSS001041|
European Ancestry|
19,191 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Type 1 diabetes with renal manifestations OR: 1.38 [1.19, 1.6] PCs(1-5), median age in the electronic health record, sex
PPM002112 PGS000803
(wGRS41_SLE)
PSS001036|
European Ancestry|
40,528 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Type 1 diabetes with opthalmic manifestations OR: 1.32 [1.16, 1.5]
β: 0.275 (0.065)
PCs(1-5), median age in the electronic health record, sex
PPM002113 PGS000803
(wGRS41_SLE)
PSS001041|
European Ancestry|
19,191 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Type 1 diabetes with opthalmic manifestations OR: 1.34 [1.18, 1.52] PCs(1-5), median age in the electronic health record, sex
PPM002114 PGS000803
(wGRS41_SLE)
PSS001036|
European Ancestry|
40,528 individuals
PGP000192 |
Kawai VK et al. Lupus (2021)
Reported Trait: Type 1 diabetes with neurological manifestations OR: 1.16 [1.06, 1.28]
β: 0.151 (0.047)
PCs(1-5), median age in the electronic health record, sex
PPM002137 PGS000809
(PRS127_MS)
PSS001050|
European Ancestry|
725 individuals
PGP000194 |
Barnes CLK et al. Eur J Hum Genet (2021)
Reported Trait: Multiple sclerosis β: 0.6 AUROC: 0.705 (0.029) : 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) : 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) : 0.069 Age, sex, PCs(1-2)
PPM007968 PGS001042
(GBE_HC645)
PSS004565|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] AUROC: 0.74292 [0.70274, 0.7831] : 0.0808
Incremental AUROC (full-covars): -0.001
PGS R2 (no covariates): 0.00441
PGS AUROC (no covariates): 0.55406 [0.50519, 0.60292]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007969 PGS001042
(GBE_HC645)
PSS004566|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] AUROC: 0.64568 [0.56662, 0.72474] : 0.04341
Incremental AUROC (full-covars): 0.0279
PGS R2 (no covariates): 0.02341
PGS AUROC (no covariates): 0.6179 [0.53755, 0.69825]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007970 PGS001042
(GBE_HC645)
PSS004567|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] AUROC: 0.69253 [0.66505, 0.72] : 0.0468
Incremental AUROC (full-covars): 0.03643
PGS R2 (no covariates): 0.01594
PGS AUROC (no covariates): 0.61209 [0.58178, 0.6424]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007971 PGS001042
(GBE_HC645)
PSS004568|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] AUROC: 0.68899 [0.63846, 0.73951] : 0.04589
Incremental AUROC (full-covars): 0.03955
PGS R2 (no covariates): 0.01668
PGS AUROC (no covariates): 0.60594 [0.54869, 0.66319]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007972 PGS001042
(GBE_HC645)
PSS004569|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] AUROC: 0.71296 [0.69708, 0.72884] : 0.05914
Incremental AUROC (full-covars): 0.04673
PGS R2 (no covariates): 0.02359
PGS AUROC (no covariates): 0.63392 [0.61562, 0.65223]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007973 PGS001043
(GBE_HC55)
PSS004526|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Hyperthyroidism/thyrotoxicosis AUROC: 0.73999 [0.69812, 0.78186] : 0.07663
Incremental AUROC (full-covars): -0.00598
PGS R2 (no covariates): 0.00164
PGS AUROC (no covariates): 0.53513 [0.48316, 0.5871]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007974 PGS001043
(GBE_HC55)
PSS004527|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Hyperthyroidism/thyrotoxicosis AUROC: 0.62359 [0.53601, 0.71117] : 0.03132
Incremental AUROC (full-covars): 0.0205
PGS R2 (no covariates): 0.01311
PGS AUROC (no covariates): 0.58858 [0.50442, 0.67274]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007975 PGS001043
(GBE_HC55)
PSS004528|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Hyperthyroidism/thyrotoxicosis AUROC: 0.69729 [0.66674, 0.72784] : 0.04646
Incremental AUROC (full-covars): 0.03676
PGS R2 (no covariates): 0.01638
PGS AUROC (no covariates): 0.61845 [0.58525, 0.65166]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007976 PGS001043
(GBE_HC55)
PSS004529|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Hyperthyroidism/thyrotoxicosis AUROC: 0.68797 [0.63675, 0.7392] : 0.04145
Incremental AUROC (full-covars): 0.04372
PGS R2 (no covariates): 0.01807
PGS AUROC (no covariates): 0.60983 [0.54762, 0.67204]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007977 PGS001043
(GBE_HC55)
PSS004530|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Hyperthyroidism/thyrotoxicosis AUROC: 0.71366 [0.6965, 0.73082] : 0.0566
Incremental AUROC (full-covars): 0.04641
PGS R2 (no covariates): 0.02158
PGS AUROC (no covariates): 0.6323 [0.61251, 0.6521]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008289 PGS001110
(GBE_HC1209)
PSS004183|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE reactive arthropathies AUROC: 0.9594 [0.92062, 0.99818] : 0.17918
Incremental AUROC (full-covars): 0.00395
PGS R2 (no covariates): 0.00991
PGS AUROC (no covariates): 0.72061 [0.49213, 0.9491]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008290 PGS001110
(GBE_HC1209)
PSS004185|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE reactive arthropathies AUROC: 0.77096 [0.63921, 0.90271] : 0.09743
Incremental AUROC (full-covars): 0.03274
PGS R2 (no covariates): 0.03411
PGS AUROC (no covariates): 0.65137 [0.47674, 0.826]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008291 PGS001110
(GBE_HC1209)
PSS004186|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE reactive arthropathies AUROC: 0.94552 [0.83969, 1.0] : 0.25627
Incremental AUROC (full-covars): 0.00045
PGS R2 (no covariates): 0.00071
PGS AUROC (no covariates): 0.67786 [0.66768, 0.68805]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008292 PGS001110
(GBE_HC1209)
PSS004187|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE reactive arthropathies AUROC: 0.6839 [0.58647, 0.78132] : 0.03053
Incremental AUROC (full-covars): 0.07922
PGS R2 (no covariates): 0.02879
PGS AUROC (no covariates): 0.66167 [0.54859, 0.77475]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008840 PGS001267
(GBE_HC422)
PSS004486|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ankylosing spondylitis AUROC: 0.86744 [0.75569, 0.97918] : 0.1463
Incremental AUROC (full-covars): -0.00062
PGS R2 (no covariates): 0.00216
PGS AUROC (no covariates): 0.4722 [0.12421, 0.82018]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008841 PGS001267
(GBE_HC422)
PSS004487|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ankylosing spondylitis AUROC: 0.98913 [0.972, 1.0] : 0.44316
Incremental AUROC (full-covars): 0.0423
PGS R2 (no covariates): 0.24382
PGS AUROC (no covariates): 0.81698 [0.46329, 1.0]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008842 PGS001267
(GBE_HC422)
PSS004488|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ankylosing spondylitis AUROC: 0.73638 [0.67151, 0.80124] : 0.10414
Incremental AUROC (full-covars): 0.06004
PGS R2 (no covariates): 0.07222
PGS AUROC (no covariates): 0.67545 [0.60736, 0.74353]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008843 PGS001267
(GBE_HC422)
PSS004489|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ankylosing spondylitis AUROC: 0.73535 [0.61203, 0.85867] : 0.03713
Incremental AUROC (full-covars): -0.01782
PGS R2 (no covariates): 0.00902
PGS AUROC (no covariates): 0.42181 [0.29024, 0.55338]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008844 PGS001267
(GBE_HC422)
PSS004490|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ankylosing spondylitis AUROC: 0.74328 [0.70673, 0.77983] : 0.10925
Incremental AUROC (full-covars): 0.12994
PGS R2 (no covariates): 0.09877
PGS AUROC (no covariates): 0.72651 [0.68965, 0.76337]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008845 PGS001268
(GBE_HC1242)
PSS004228|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE ankylosing spondylitis AUROC: 0.86811 [0.75774, 0.97849] : 0.14598
Incremental AUROC (full-covars): 6e-05
PGS R2 (no covariates): 0.00104
PGS AUROC (no covariates): 0.48424 [0.12443, 0.84406]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008846 PGS001268
(GBE_HC1242)
PSS004229|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE ankylosing spondylitis AUROC: 0.99148 [0.9789, 1.0] : 0.44858
Incremental AUROC (full-covars): 0.04465
PGS R2 (no covariates): 0.23755
PGS AUROC (no covariates): 0.81257 [0.45025, 1.0]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008847 PGS001268
(GBE_HC1242)
PSS004230|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE ankylosing spondylitis AUROC: 0.73336 [0.66901, 0.79772] : 0.10217
Incremental AUROC (full-covars): 0.0575
PGS R2 (no covariates): 0.06991
PGS AUROC (no covariates): 0.67405 [0.607, 0.74111]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008848 PGS001268
(GBE_HC1242)
PSS004231|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE ankylosing spondylitis AUROC: 0.73282 [0.61573, 0.84991] : 0.03979
Incremental AUROC (full-covars): -0.01963
PGS R2 (no covariates): 0.00774
PGS AUROC (no covariates): 0.4297 [0.29438, 0.56502]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008849 PGS001268
(GBE_HC1242)
PSS004232|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE ankylosing spondylitis AUROC: 0.74878 [0.71314, 0.78442] : 0.115
Incremental AUROC (full-covars): 0.12686
PGS R2 (no covariates): 0.10232
PGS AUROC (no covariates): 0.7346 [0.69884, 0.77037]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
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] : 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] : 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] : 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] : 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
: 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] : 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] : 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] : 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
: 0.29301
PGS R2 (no covariates): 0.01017
PGS AUROC (no covariates): 0.72132 [0.63231, 0.81034]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008934 PGS001287
(GBE_HC91)
PSS004707|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Psoriatic arthropathy AUROC: 0.99354 [0.98059, 1.0] : 0.5357
Incremental AUROC (full-covars): -0.00088
PGS R2 (no covariates): 0.00227
PGS AUROC (no covariates): 0.47826 [0.0, 0.96911]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008935 PGS001287
(GBE_HC91)
PSS004708|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Psoriatic arthropathy AUROC: 0.72814 [0.67154, 0.78475] : 0.05154
Incremental AUROC (full-covars): 0.08346
PGS R2 (no covariates): 0.0335
PGS AUROC (no covariates): 0.67648 [0.61155, 0.7414]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008936 PGS001287
(GBE_HC91)
PSS004709|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Psoriatic arthropathy AUROC: 0.71827 [0.61363, 0.82292] : 0.04395
Incremental AUROC (full-covars): 0.00838
PGS R2 (no covariates): 0.00229
PGS AUROC (no covariates): 0.56943 [0.44876, 0.69011]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008937 PGS001287
(GBE_HC91)
PSS004710|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Psoriatic arthropathy AUROC: 0.6376 [0.60073, 0.67447] : 0.02161
Incremental AUROC (full-covars): 0.0945
PGS R2 (no covariates): 0.02111
PGS AUROC (no covariates): 0.63567 [0.598, 0.67334]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008938 PGS001288
(GBE_HC95)
PSS004741|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Inflammatory bowel disease AUROC: 0.64251 [0.54711, 0.73791] : 0.05914
Incremental AUROC (full-covars): 0.00245
PGS R2 (no covariates): 0.00027
PGS AUROC (no covariates): 0.52101 [0.42335, 0.61867]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008939 PGS001288
(GBE_HC95)
PSS004742|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Inflammatory bowel disease AUROC: 0.89429 [0.79091, 0.99767] : 0.2051
Incremental AUROC (full-covars): -0.0033
PGS R2 (no covariates): 0.0
PGS AUROC (no covariates): 0.48687 [0.28135, 0.6924]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008940 PGS001288
(GBE_HC95)
PSS004743|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Inflammatory bowel disease AUROC: 0.63478 [0.60168, 0.66787] : 0.02287
Incremental AUROC (full-covars): 0.02492
PGS R2 (no covariates): 0.0102
PGS AUROC (no covariates): 0.58475 [0.55242, 0.61708]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008941 PGS001288
(GBE_HC95)
PSS004744|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Inflammatory bowel disease AUROC: 0.66934 [0.62525, 0.71343] : 0.03759
Incremental AUROC (full-covars): 0.004
PGS R2 (no covariates): 0.00311
PGS AUROC (no covariates): 0.55448 [0.50125, 0.6077]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008942 PGS001288
(GBE_HC95)
PSS004745|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Inflammatory bowel disease AUROC: 0.59461 [0.57544, 0.61378] : 0.01221
Incremental AUROC (full-covars): 0.06405
PGS R2 (no covariates): 0.01191
PGS AUROC (no covariates): 0.59586 [0.5768, 0.61492]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009024 PGS001306
(GBE_HC201)
PSS004339|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ulcerative colitis AUROC: 0.62904 [0.5093, 0.74878] : 0.04535
Incremental AUROC (full-covars): -0.00864
PGS R2 (no covariates): 0.00044
PGS AUROC (no covariates): 0.51081 [0.37987, 0.64174]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009025 PGS001306
(GBE_HC201)
PSS004340|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ulcerative colitis AUROC: 0.89429 [0.79357, 0.99502] : 0.20499
Incremental AUROC (full-covars): -0.0033
PGS R2 (no covariates): 2e-05
PGS AUROC (no covariates): 0.49111 [0.35854, 0.62368]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009026 PGS001306
(GBE_HC201)
PSS004341|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ulcerative colitis AUROC: 0.66162 [0.6277, 0.69554] : 0.03336
Incremental AUROC (full-covars): 0.04247
PGS R2 (no covariates): 0.02036
PGS AUROC (no covariates): 0.63006 [0.5958, 0.66432]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009027 PGS001306
(GBE_HC201)
PSS004342|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ulcerative colitis AUROC: 0.67522 [0.62537, 0.72506] : 0.03696
Incremental AUROC (full-covars): 0.01011
PGS R2 (no covariates): 0.00545
PGS AUROC (no covariates): 0.56552 [0.50815, 0.62289]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009028 PGS001306
(GBE_HC201)
PSS004343|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ulcerative colitis AUROC: 0.6157 [0.59481, 0.63659] PGS R2 (no covariates): 0.0193
: 0.01676
Incremental AUROC (full-covars): 0.08728
PGS AUROC (no covariates): 0.62452 [0.60374, 0.6453]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009029 PGS001307
(GBE_HC1102)
PSS004119|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE ulcerative colitis AUROC: 0.62873 [0.51002, 0.74744] : 0.04344
Incremental AUROC (full-covars): -0.00895
PGS R2 (no covariates): 0.00027
PGS AUROC (no covariates): 0.50641 [0.39121, 0.62161]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009030 PGS001307
(GBE_HC1102)
PSS004120|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE ulcerative colitis AUROC: 0.89582 [0.79576, 0.99588] : 0.20607
Incremental AUROC (full-covars): -0.00177
PGS R2 (no covariates): 0.00203
PGS AUROC (no covariates): 0.55433 [0.4473, 0.66136]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009031 PGS001307
(GBE_HC1102)
PSS004121|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE ulcerative colitis AUROC: 0.65578 [0.62353, 0.68804] : 0.03272
Incremental AUROC (full-covars): 0.04212
PGS R2 (no covariates): 0.0169
PGS AUROC (no covariates): 0.6106 [0.57717, 0.64402]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009032 PGS001307
(GBE_HC1102)
PSS004122|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE ulcerative colitis AUROC: 0.66008 [0.61042, 0.70974] : 0.03192
Incremental AUROC (full-covars): 0.00203
PGS R2 (no covariates): 0.0036
PGS AUROC (no covariates): 0.55808 [0.506, 0.61016]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009033 PGS001307
(GBE_HC1102)
PSS004123|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE ulcerative colitis AUROC: 0.63965 [0.62036, 0.65895] : 0.02376
Incremental AUROC (full-covars): 0.1085
PGS R2 (no covariates): 0.02383
PGS AUROC (no covariates): 0.63847 [0.61861, 0.65833]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009034 PGS001308
(GBE_HC321)
PSS004437|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Sjogren's syndrome/sicca syndrome AUROC: 0.79846 [0.71474, 0.88218] : 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] : 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] : 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] : 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] : 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] : 0.05129
Incremental AUROC (full-covars): -0.00017
PGS R2 (no covariates): 0.00056
PGS AUROC (no covariates): 0.52591 [0.47486, 0.57696]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009040 PGS001309
(GBE_HC1212)
PSS004194|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other rheumatoid arthritis AUROC: 0.67331 [0.56418, 0.78244] : 0.07058
Incremental AUROC (full-covars): -0.02511
PGS R2 (no covariates): 0.0
PGS AUROC (no covariates): 0.50714 [0.3797, 0.63457]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009041 PGS001309
(GBE_HC1212)
PSS004195|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other rheumatoid arthritis AUROC: 0.6872 [0.66167, 0.71273] : 0.04826
Incremental AUROC (full-covars): 0.02601
PGS R2 (no covariates): 0.01537
PGS AUROC (no covariates): 0.59782 [0.56885, 0.62679]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009042 PGS001309
(GBE_HC1212)
PSS004196|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other rheumatoid arthritis AUROC: 0.70239 [0.66722, 0.73755] : 0.06164
Incremental AUROC (full-covars): -0.00362
PGS R2 (no covariates): 0.00158
PGS AUROC (no covariates): 0.53481 [0.4923, 0.57731]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009043 PGS001309
(GBE_HC1212)
PSS004197|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other rheumatoid arthritis AUROC: 0.66538 [0.65101, 0.67976] : 0.03893
Incremental AUROC (full-covars): 0.03207
PGS R2 (no covariates): 0.01495
PGS AUROC (no covariates): 0.59784 [0.582, 0.61368]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009044 PGS001310
(GBE_HC430)
PSS004491|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Rheumatoid arthritis AUROC: 0.70522 [0.66309, 0.74736] : 0.0544
Incremental AUROC (full-covars): 0.00203
PGS R2 (no covariates): 0.00109
PGS AUROC (no covariates): 0.53147 [0.47999, 0.58294]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009045 PGS001310
(GBE_HC430)
PSS004492|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Rheumatoid arthritis AUROC: 0.66116 [0.54578, 0.77655] : 0.06929
Incremental AUROC (full-covars): -0.02514
PGS R2 (no covariates): 0.00033
PGS AUROC (no covariates): 0.52178 [0.38366, 0.6599]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009046 PGS001310
(GBE_HC430)
PSS004493|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Rheumatoid arthritis AUROC: 0.68857 [0.6632, 0.71393] : 0.04919
Incremental AUROC (full-covars): 0.02092
PGS R2 (no covariates): 0.01316
PGS AUROC (no covariates): 0.58714 [0.55751, 0.61676]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009047 PGS001310
(GBE_HC430)
PSS004494|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Rheumatoid arthritis AUROC: 0.70402 [0.66905, 0.73899] : 0.06207
Incremental AUROC (full-covars): -0.0019
PGS R2 (no covariates): 0.00142
PGS AUROC (no covariates): 0.53137 [0.48984, 0.57291]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009048 PGS001310
(GBE_HC430)
PSS004495|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Rheumatoid arthritis AUROC: 0.66508 [0.65049, 0.67967] : 0.03894
Incremental AUROC (full-covars): 0.03077
PGS R2 (no covariates): 0.01509
PGS AUROC (no covariates): 0.60018 [0.58428, 0.61607]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009049 PGS001311
(GBE_HC1211)
PSS004188|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE seropositive rheumatoid arthritis AUROC: 0.90345 [0.82233, 0.98457] : 0.16794
Incremental AUROC (full-covars): -0.00669
PGS R2 (no covariates): 0.01613
PGS AUROC (no covariates): 0.39273 [0.11505, 0.67041]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009050 PGS001311
(GBE_HC1211)
PSS004190|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE seropositive rheumatoid arthritis AUROC: 0.76787 [0.6839, 0.85184] : 0.08412
Incremental AUROC (full-covars): 0.0418
PGS R2 (no covariates): 0.05847
PGS AUROC (no covariates): 0.73164 [0.63667, 0.82662]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009051 PGS001311
(GBE_HC1211)
PSS004191|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE seropositive rheumatoid arthritis AUROC: 0.76865 [0.6608, 0.87651] : 0.08089
Incremental AUROC (full-covars): -0.00731
PGS R2 (no covariates): 0.00567
PGS AUROC (no covariates): 0.50626 [0.35145, 0.66107]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009052 PGS001311
(GBE_HC1211)
PSS004192|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE seropositive rheumatoid arthritis AUROC: 0.73785 [0.69634, 0.77936] : 0.05309
Incremental AUROC (full-covars): 0.09202
PGS R2 (no covariates): 0.04612
PGS AUROC (no covariates): 0.7072 [0.65945, 0.75495]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009137 PGS001330
(GBE_HC1101)
PSS004114|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE crohn's disease [regional enteritis] AUROC: 0.66243 [0.55234, 0.77252] : 0.05286
Incremental AUROC (full-covars): -0.02175
PGS R2 (no covariates): 0.00138
PGS AUROC (no covariates): 0.46272 [0.36718, 0.55826]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009138 PGS001330
(GBE_HC1101)
PSS004115|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE crohn's disease [regional enteritis] AUROC: 0.86369 [0.7806, 0.94678] : 0.13339
Incremental AUROC (full-covars): 0.0
PGS R2 (no covariates): 0.14319
PGS AUROC (no covariates): 0.10664 [0.0, 0.28372]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009139 PGS001330
(GBE_HC1101)
PSS004116|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE crohn's disease [regional enteritis] AUROC: 0.60269 [0.55209, 0.65328] : 0.01102
Incremental AUROC (full-covars): 0.02413
PGS R2 (no covariates): 0.00621
PGS AUROC (no covariates): 0.57593 [0.52318, 0.62867]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009140 PGS001330
(GBE_HC1101)
PSS004117|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE crohn's disease [regional enteritis] AUROC: 0.69933 [0.63548, 0.76318] : 0.0344
Incremental AUROC (full-covars): 0.00201
PGS R2 (no covariates): 0.00147
PGS AUROC (no covariates): 0.53846 [0.46042, 0.6165]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009141 PGS001330
(GBE_HC1101)
PSS004118|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE crohn's disease [regional enteritis] AUROC: 0.55852 [0.52842, 0.58862] : 0.00474
Incremental AUROC (full-covars): 0.07412
PGS R2 (no covariates): 0.00669
PGS AUROC (no covariates): 0.5714 [0.54073, 0.60207]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009142 PGS001331
(GBE_HC322)
PSS004442|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Crohns disease AUROC: 0.65892 [0.54485, 0.77299] : 0.05502
Incremental AUROC (full-covars): -0.02526
PGS R2 (no covariates): 4e-05
PGS AUROC (no covariates): 0.49152 [0.37858, 0.60446]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009143 PGS001331
(GBE_HC322)
PSS004444|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Crohns disease AUROC: 0.61269 [0.55802, 0.66736] : 0.01161
Incremental AUROC (full-covars): 0.02705
PGS R2 (no covariates): 0.00677
PGS AUROC (no covariates): 0.57919 [0.52051, 0.63786]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009144 PGS001331
(GBE_HC322)
PSS004445|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Crohns disease AUROC: 0.71 [0.64649, 0.7735] : 0.03928
Incremental AUROC (full-covars): 0.01378
PGS R2 (no covariates): 0.00366
PGS AUROC (no covariates): 0.56349 [0.47905, 0.64793]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009145 PGS001331
(GBE_HC322)
PSS004446|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Crohns disease AUROC: 0.56362 [0.53297, 0.59427] : 0.00529
Incremental AUROC (full-covars): 0.06267
PGS R2 (no covariates): 0.0063
PGS AUROC (no covariates): 0.57326 [0.54246, 0.60406]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005205 PGS001369
(GBE_HC1090)
PSS004099|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE acute appendicitis AUROC: 0.62041 [0.53518, 0.70564] : 0.03016
Incremental AUROC (full-covars): -0.00198
PGS R2 (no covariates): 0.00105
PGS AUROC (no covariates): 0.47489 [0.37525, 0.57453]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005206 PGS001369
(GBE_HC1090)
PSS004100|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE acute appendicitis AUROC: 0.8493 [0.77779, 0.9208] : 0.14577
Incremental AUROC (full-covars): 0.00105
PGS R2 (no covariates): 0.00332
PGS AUROC (no covariates): 0.51032 [0.33889, 0.68176]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005207 PGS001369
(GBE_HC1090)
PSS004101|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE acute appendicitis AUROC: 0.56849 [0.52835, 0.60862] : 0.00702
Incremental AUROC (full-covars): -0.00219
PGS R2 (no covariates): 0.0
PGS AUROC (no covariates): 0.49616 [0.45378, 0.53854]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005208 PGS001369
(GBE_HC1090)
PSS004102|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE acute appendicitis AUROC: 0.72977 [0.65912, 0.80042] Incremental AUROC (full-covars): 0.00039
PGS R2 (no covariates): 0.00096
: 0.05613
PGS AUROC (no covariates): 0.5334 [0.44427, 0.62254]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005209 PGS001369
(GBE_HC1090)
PSS004103|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE acute appendicitis AUROC: 0.57413 [0.55138, 0.59688] : 0.00617
Incremental AUROC (full-covars): 0.00987
PGS R2 (no covariates): 0.00332
PGS AUROC (no covariates): 0.55036 [0.52746, 0.57326]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005215 PGS001536
(GBE_HC1188)
PSS004173|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE vitiligo AUROC: 0.63509 [0.52563, 0.74454] : 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] : 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] : 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] : 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] : 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
PPM009420 PGS001815
(portability-PLR_242)
PSS009285|
European Ancestry|
19,108 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0191 [0.0049, 0.0332] sex, age, birth date, deprivation index, 16 PCs
PPM009421 PGS001815
(portability-PLR_242)
PSS009059|
European Ancestry|
3,938 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0288 [-0.0025, 0.06] sex, age, birth date, deprivation index, 16 PCs
PPM009422 PGS001815
(portability-PLR_242)
PSS008613|
European Ancestry|
6,381 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0232 [-0.0014, 0.0477] sex, age, birth date, deprivation index, 16 PCs
PPM009423 PGS001815
(portability-PLR_242)
PSS008389|
Greater Middle Eastern Ancestry|
1,143 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): -0.0026 [-0.0611, 0.0559] sex, age, birth date, deprivation index, 16 PCs
PPM009424 PGS001815
(portability-PLR_242)
PSS008167|
South Asian Ancestry|
5,954 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0473 [0.0219, 0.0726] sex, age, birth date, deprivation index, 16 PCs
PPM009425 PGS001815
(portability-PLR_242)
PSS007954|
East Asian Ancestry|
1,754 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0177 [-0.0294, 0.0647] sex, age, birth date, deprivation index, 16 PCs
PPM009426 PGS001815
(portability-PLR_242)
PSS007735|
African Ancestry|
2,410 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): -0.0007 [-0.0408, 0.0394] sex, age, birth date, deprivation index, 16 PCs
PPM009427 PGS001815
(portability-PLR_242)
PSS008838|
African Ancestry|
3,836 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0182 [-0.0135, 0.0499] sex, age, birth date, deprivation index, 16 PCs
PPM009541 PGS001831
(portability-PLR_335)
PSS009301|
European Ancestry|
19,299 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Multiple sclerosis Partial Correlation (partial-r): 0.0367 [0.0226, 0.0508] sex, age, birth date, deprivation index, 16 PCs
PPM009542 PGS001831
(portability-PLR_335)
PSS009075|
European Ancestry|
4,011 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Multiple sclerosis Partial Correlation (partial-r): 0.0122 [-0.0188, 0.0432] sex, age, birth date, deprivation index, 16 PCs
PPM009543 PGS001831
(portability-PLR_335)
PSS008629|
European Ancestry|
6,463 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Multiple sclerosis Partial Correlation (partial-r): 0.0578 [0.0334, 0.0821] sex, age, birth date, deprivation index, 16 PCs
PPM009544 PGS001831
(portability-PLR_335)
PSS008403|
Greater Middle Eastern Ancestry|
1,164 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Multiple sclerosis Partial Correlation (partial-r): 0.0242 [-0.0338, 0.082] sex, age, birth date, deprivation index, 16 PCs
PPM009545 PGS001831
(portability-PLR_335)
PSS008183|
South Asian Ancestry|
6,094 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Multiple sclerosis Partial Correlation (partial-r): 0.0064 [-0.0188, 0.0315] sex, age, birth date, deprivation index, 16 PCs
PPM009546 PGS001831
(portability-PLR_335)
PSS007749|
African Ancestry|
2,390 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Multiple sclerosis Partial Correlation (partial-r): 0.0032 [-0.037, 0.0435] sex, age, birth date, deprivation index, 16 PCs
PPM009547 PGS001831
(portability-PLR_335)
PSS008853|
African Ancestry|
3,790 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Multiple sclerosis Partial Correlation (partial-r): -0.0104 [-0.0423, 0.0216] sex, age, birth date, deprivation index, 16 PCs
PPM009730 PGS001855
(portability-PLR_555.2)
PSS009330|
European Ancestry|
16,188 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ulcerative colitis Partial Correlation (partial-r): 0.0625 [0.0471, 0.0778] sex, age, birth date, deprivation index, 16 PCs
PPM009732 PGS001855
(portability-PLR_555.2)
PSS008658|
European Ancestry|
5,477 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ulcerative colitis Partial Correlation (partial-r): 0.0453 [0.0188, 0.0717] sex, age, birth date, deprivation index, 16 PCs
PPM009733 PGS001855
(portability-PLR_555.2)
PSS008432|
Greater Middle Eastern Ancestry|
1,007 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ulcerative colitis Partial Correlation (partial-r): 0.0175 [-0.0449, 0.0799] sex, age, birth date, deprivation index, 16 PCs
PPM009734 PGS001855
(portability-PLR_555.2)
PSS008212|
South Asian Ancestry|
5,337 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ulcerative colitis Partial Correlation (partial-r): 0.0407 [0.0139, 0.0676] sex, age, birth date, deprivation index, 16 PCs
PPM009735 PGS001855
(portability-PLR_555.2)
PSS007994|
East Asian Ancestry|
1,630 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ulcerative colitis Partial Correlation (partial-r): 0.0382 [-0.0107, 0.0868] sex, age, birth date, deprivation index, 16 PCs
PPM009736 PGS001855
(portability-PLR_555.2)
PSS007777|
African Ancestry|
2,105 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ulcerative colitis Partial Correlation (partial-r): 0.031 [-0.0119, 0.0738] sex, age, birth date, deprivation index, 16 PCs
PPM009737 PGS001855
(portability-PLR_555.2)
PSS008881|
African Ancestry|
3,465 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ulcerative colitis Partial Correlation (partial-r): -0.0003 [-0.0337, 0.0331] sex, age, birth date, deprivation index, 16 PCs
PPM009731 PGS001855
(portability-PLR_555.2)
PSS009104|
European Ancestry|
3,520 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ulcerative colitis Partial Correlation (partial-r): 0.0367 [0.0036, 0.0698] sex, age, birth date, deprivation index, 16 PCs
PPM009888 PGS001875
(portability-PLR_714.1)
PSS009352|
European Ancestry|
18,393 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Rheumatoid arthritis Partial Correlation (partial-r): 0.0416 [0.0272, 0.056] sex, age, birth date, deprivation index, 16 PCs
PPM009889 PGS001875
(portability-PLR_714.1)
PSS009126|
European Ancestry|
3,878 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Rheumatoid arthritis Partial Correlation (partial-r): 0.0554 [0.0239, 0.0868] sex, age, birth date, deprivation index, 16 PCs
PPM009890 PGS001875
(portability-PLR_714.1)
PSS008680|
European Ancestry|
6,241 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Rheumatoid arthritis Partial Correlation (partial-r): 0.0322 [0.0073, 0.057] sex, age, birth date, deprivation index, 16 PCs
PPM009891 PGS001875
(portability-PLR_714.1)
PSS008454|
Greater Middle Eastern Ancestry|
1,128 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Rheumatoid arthritis Partial Correlation (partial-r): 0.0363 [-0.0226, 0.095] sex, age, birth date, deprivation index, 16 PCs
PPM009892 PGS001875
(portability-PLR_714.1)
PSS008234|
South Asian Ancestry|
5,728 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Rheumatoid arthritis Partial Correlation (partial-r): 0.0097 [-0.0163, 0.0356] sex, age, birth date, deprivation index, 16 PCs
PPM009893 PGS001875
(portability-PLR_714.1)
PSS008014|
East Asian Ancestry|
1,754 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Rheumatoid arthritis Partial Correlation (partial-r): 0.0277 [-0.0194, 0.0746] sex, age, birth date, deprivation index, 16 PCs
PPM009894 PGS001875
(portability-PLR_714.1)
PSS007799|
African Ancestry|
2,277 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Rheumatoid arthritis Partial Correlation (partial-r): -0.0138 [-0.055, 0.0275] sex, age, birth date, deprivation index, 16 PCs
PPM009895 PGS001875
(portability-PLR_714.1)
PSS008903|
African Ancestry|
3,634 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Rheumatoid arthritis Partial Correlation (partial-r): -0.0251 [-0.0577, 0.0075] sex, age, birth date, deprivation index, 16 PCs
PPM009896 PGS001876
(portability-PLR_715.2)
PSS009353|
European Ancestry|
18,262 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ankylosing spondylitis Partial Correlation (partial-r): 0.0797 [0.0653, 0.0941] sex, age, birth date, deprivation index, 16 PCs
PPM009897 PGS001876
(portability-PLR_715.2)
PSS009127|
European Ancestry|
3,854 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ankylosing spondylitis Partial Correlation (partial-r): 0.0453 [0.0137, 0.0769] sex, age, birth date, deprivation index, 16 PCs
PPM009898 PGS001876
(portability-PLR_715.2)
PSS008681|
European Ancestry|
6,216 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ankylosing spondylitis Partial Correlation (partial-r): 0.0521 [0.0272, 0.0769] sex, age, birth date, deprivation index, 16 PCs
PPM009899 PGS001876
(portability-PLR_715.2)
PSS008455|
Greater Middle Eastern Ancestry|
1,124 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ankylosing spondylitis Partial Correlation (partial-r): 0.1472 [0.0889, 0.2044] sex, age, birth date, deprivation index, 16 PCs
PPM009900 PGS001876
(portability-PLR_715.2)
PSS008235|
South Asian Ancestry|
5,671 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ankylosing spondylitis Partial Correlation (partial-r): 0.0279 [0.0019, 0.054] sex, age, birth date, deprivation index, 16 PCs
PPM011058 PGS002023
(portability-ldpred2_242)
PSS009285|
European Ancestry|
19,108 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0199 [0.0057, 0.034] sex, age, birth date, deprivation index, 16 PCs
PPM011059 PGS002023
(portability-ldpred2_242)
PSS009059|
European Ancestry|
3,938 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0345 [0.0032, 0.0658] sex, age, birth date, deprivation index, 16 PCs
PPM011060 PGS002023
(portability-ldpred2_242)
PSS008613|
European Ancestry|
6,381 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0195 [-0.0051, 0.044] sex, age, birth date, deprivation index, 16 PCs
PPM011061 PGS002023
(portability-ldpred2_242)
PSS008389|
Greater Middle Eastern Ancestry|
1,143 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): -0.0281 [-0.0864, 0.0305] sex, age, birth date, deprivation index, 16 PCs
PPM011062 PGS002023
(portability-ldpred2_242)
PSS008167|
South Asian Ancestry|
5,954 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0457 [0.0203, 0.0711] sex, age, birth date, deprivation index, 16 PCs
PPM011063 PGS002023
(portability-ldpred2_242)
PSS007954|
East Asian Ancestry|
1,754 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.039 [-0.0081, 0.0859] sex, age, birth date, deprivation index, 16 PCs
PPM011064 PGS002023
(portability-ldpred2_242)
PSS007735|
African Ancestry|
2,410 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0027 [-0.0374, 0.0428] sex, age, birth date, deprivation index, 16 PCs
PPM011065 PGS002023
(portability-ldpred2_242)
PSS008838|
African Ancestry|
3,836 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Thyrotoxicosis with or without goiter Partial Correlation (partial-r): 0.0172 [-0.0146, 0.0489] sex, age, birth date, deprivation index, 16 PCs
PPM011172 PGS002038
(portability-ldpred2_335)
PSS009075|
European Ancestry|
4,011 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Multiple sclerosis Partial Correlation (partial-r): 0.0083 [-0.0228, 0.0393] sex, age, birth date, deprivation index, 16 PCs
PPM011173 PGS002038
(portability-ldpred2_335)
PSS008629|
European Ancestry|
6,463 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Multiple sclerosis Partial Correlation (partial-r): 0.0447 [0.0203, 0.069] sex, age, birth date, deprivation index, 16 PCs
PPM011174 PGS002038
(portability-ldpred2_335)
PSS008403|
Greater Middle Eastern Ancestry|
1,164 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Multiple sclerosis Partial Correlation (partial-r): 0.0296 [-0.0284, 0.0874] sex, age, birth date, deprivation index, 16 PCs
PPM011175 PGS002038
(portability-ldpred2_335)
PSS008183|
South Asian Ancestry|
6,094 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Multiple sclerosis Partial Correlation (partial-r): 0.0149 [-0.0103, 0.04] sex, age, birth date, deprivation index, 16 PCs
PPM011176 PGS002038
(portability-ldpred2_335)
PSS007749|
African Ancestry|
2,390 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Multiple sclerosis Partial Correlation (partial-r): 0.006 [-0.0343, 0.0463] sex, age, birth date, deprivation index, 16 PCs
PPM011177 PGS002038
(portability-ldpred2_335)
PSS008853|
African Ancestry|
3,790 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Multiple sclerosis Partial Correlation (partial-r): -0.0243 [-0.0561, 0.0077] sex, age, birth date, deprivation index, 16 PCs
PPM011171 PGS002038
(portability-ldpred2_335)
PSS009301|
European Ancestry|
19,299 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Multiple sclerosis Partial Correlation (partial-r): 0.0396 [0.0255, 0.0536] sex, age, birth date, deprivation index, 16 PCs
PPM011390 PGS002066
(portability-ldpred2_555.2)
PSS009330|
European Ancestry|
16,188 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ulcerative colitis Partial Correlation (partial-r): 0.0641 [0.0487, 0.0794] sex, age, birth date, deprivation index, 16 PCs
PPM011391 PGS002066
(portability-ldpred2_555.2)
PSS009104|
European Ancestry|
3,520 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ulcerative colitis Partial Correlation (partial-r): 0.0466 [0.0135, 0.0796] sex, age, birth date, deprivation index, 16 PCs
PPM011392 PGS002066
(portability-ldpred2_555.2)
PSS008658|
European Ancestry|
5,477 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ulcerative colitis Partial Correlation (partial-r): 0.0426 [0.0161, 0.0691] sex, age, birth date, deprivation index, 16 PCs
PPM011393 PGS002066
(portability-ldpred2_555.2)
PSS008432|
Greater Middle Eastern Ancestry|
1,007 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ulcerative colitis Partial Correlation (partial-r): 0.0056 [-0.0568, 0.068] sex, age, birth date, deprivation index, 16 PCs
PPM011395 PGS002066
(portability-ldpred2_555.2)
PSS007994|
East Asian Ancestry|
1,630 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ulcerative colitis Partial Correlation (partial-r): 0.0398 [-0.009, 0.0885] sex, age, birth date, deprivation index, 16 PCs
PPM011396 PGS002066
(portability-ldpred2_555.2)
PSS007777|
African Ancestry|
2,105 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ulcerative colitis Partial Correlation (partial-r): 0.0272 [-0.0157, 0.0701] sex, age, birth date, deprivation index, 16 PCs
PPM011397 PGS002066
(portability-ldpred2_555.2)
PSS008881|
African Ancestry|
3,465 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ulcerative colitis Partial Correlation (partial-r): 0.0058 [-0.0276, 0.0392] sex, age, birth date, deprivation index, 16 PCs
PPM011394 PGS002066
(portability-ldpred2_555.2)
PSS008212|
South Asian Ancestry|
5,337 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ulcerative colitis Partial Correlation (partial-r): 0.0388 [0.0119, 0.0656] sex, age, birth date, deprivation index, 16 PCs
PPM011564 PGS002088
(portability-ldpred2_714.1)
PSS009352|
European Ancestry|
18,393 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Rheumatoid arthritis Partial Correlation (partial-r): 0.0434 [0.029, 0.0578] sex, age, birth date, deprivation index, 16 PCs
PPM011565 PGS002088
(portability-ldpred2_714.1)
PSS009126|
European Ancestry|
3,878 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Rheumatoid arthritis Partial Correlation (partial-r): 0.0532 [0.0217, 0.0846] sex, age, birth date, deprivation index, 16 PCs
PPM011566 PGS002088
(portability-ldpred2_714.1)
PSS008680|
European Ancestry|
6,241 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Rheumatoid arthritis Partial Correlation (partial-r): 0.0284 [0.0036, 0.0532] sex, age, birth date, deprivation index, 16 PCs
PPM011568 PGS002088
(portability-ldpred2_714.1)
PSS008234|
South Asian Ancestry|
5,728 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Rheumatoid arthritis Partial Correlation (partial-r): 0.0135 [-0.0125, 0.0394] sex, age, birth date, deprivation index, 16 PCs
PPM011569 PGS002088
(portability-ldpred2_714.1)
PSS008014|
East Asian Ancestry|
1,754 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Rheumatoid arthritis Partial Correlation (partial-r): 0.0226 [-0.0245, 0.0696] sex, age, birth date, deprivation index, 16 PCs
PPM011570 PGS002088
(portability-ldpred2_714.1)
PSS007799|
African Ancestry|
2,277 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Rheumatoid arthritis Partial Correlation (partial-r): -0.0007 [-0.0419, 0.0406] sex, age, birth date, deprivation index, 16 PCs
PPM011571 PGS002088
(portability-ldpred2_714.1)
PSS008903|
African Ancestry|
3,634 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Rheumatoid arthritis Partial Correlation (partial-r): -0.0214 [-0.054, 0.0112] sex, age, birth date, deprivation index, 16 PCs
PPM011567 PGS002088
(portability-ldpred2_714.1)
PSS008454|
Greater Middle Eastern Ancestry|
1,128 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Rheumatoid arthritis Partial Correlation (partial-r): 0.0403 [-0.0186, 0.099] sex, age, birth date, deprivation index, 16 PCs
PPM011572 PGS002089
(portability-ldpred2_715.2)
PSS009353|
European Ancestry|
18,262 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ankylosing spondylitis Partial Correlation (partial-r): 0.0919 [0.0775, 0.1063] sex, age, birth date, deprivation index, 16 PCs
PPM011573 PGS002089
(portability-ldpred2_715.2)
PSS009127|
European Ancestry|
3,854 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ankylosing spondylitis Partial Correlation (partial-r): 0.0476 [0.016, 0.0791] sex, age, birth date, deprivation index, 16 PCs
PPM011574 PGS002089
(portability-ldpred2_715.2)
PSS008681|
European Ancestry|
6,216 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ankylosing spondylitis Partial Correlation (partial-r): 0.0596 [0.0348, 0.0844] sex, age, birth date, deprivation index, 16 PCs
PPM011576 PGS002089
(portability-ldpred2_715.2)
PSS008235|
South Asian Ancestry|
5,671 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ankylosing spondylitis Partial Correlation (partial-r): 0.0424 [0.0163, 0.0684] sex, age, birth date, deprivation index, 16 PCs
PPM011575 PGS002089
(portability-ldpred2_715.2)
PSS008455|
Greater Middle Eastern Ancestry|
1,124 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Ankylosing spondylitis Partial Correlation (partial-r): 0.1631 [0.1051, 0.22] sex, age, birth date, deprivation index, 16 PCs
PPM012870 PGS002260
(PRS_RA)
PSS009586|
East Asian Ancestry|
740 individuals
PGP000286 |
Honda S et al. Arthritis Rheumatol (2022)
Reported Trait: Severe radiographic progression in patients with rheumatoid arthritis OR (top vs 2nd quintile): 1.87 [1.11, 3.15]
PPM012871 PGS002260
(PRS_RA)
PSS009586|
East Asian Ancestry|
740 individuals
PGP000286 |
Honda S et al. Arthritis Rheumatol (2022)
Reported Trait: Severe radiographic progression in patients with rheumatoid arthritis (age of onset <40 years) OR (top vs 2nd quintile): 6.29 [1.85, 21.4]
PPM012872 PGS002260
(PRS_RA)
PSS009586|
East Asian Ancestry|
740 individuals
PGP000286 |
Honda S et al. Arthritis Rheumatol (2022)
Reported Trait: Severe radiographic progression in patients with rheumatoid arthritis OR: 1.3 [1.13, 1.5] Age of onset, sex, ever-smoker, ACPAs positivity, rheumatoid factor positivity, BMI, periodontitis, use of methotrexate, use of bDMARD, HLA-DRB1 (Ser11)
PPM013077 PGS002312
(disease_AID_ALL.BOLT-LMM)
PSS009691|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Autoimmune disease Incremental R2 (full model vs. covariates alone): 0.0011 age, sex, age‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚age*sex, assessment center, genotyping array, 10 PCs See disease_AID_ALL.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014492 PGS002629
(disease_AID_ALL.PolyFun-pred)
PSS009694|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Autoimmune disease Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0084 age, sex, age‚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‚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‚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‚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‚age*sex, assessment center, genotyping array, 10 PCs
PPM014749 PGS002726
(PGS_MS_Brain)
PSS009883|
European Ancestry|
253,419 individuals
PGP000334 |
Shams H et al. Brain (2022)
Reported Trait: Multiple sclerosis AUROC: 0.73 [0.72, 0.74] Odds ratio (OR, top 10% vs median): 5.3 [4.7, 6.0]
PPM014750 PGS002726
(PGS_MS_Brain)
PSS009882|
European Ancestry|
938 individuals
PGP000334 |
Shams H et al. Brain (2022)
Reported Trait: Multiple sclerosis AUROC: 0.8 [0.76, 0.82] Odds ratio (OR, top 10% vs median): 15.0 [10.4, 24.0]

Evaluated Samples

PGS Sample Set ID
(PSS)
Phenotype Definitions and Methods Participant Follow-up Time Sample Numbers Age of Study Participants Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
PSS008658 5,477 individuals European Italy (South Europe) UKB
PSS004173
[
  • 17 cases
  • , 6,480 controls
]
African unspecified UKB
PSS004174
[
  • 6 cases
  • , 1,698 controls
]
East Asian UKB
PSS004175
[
  • 45 cases
  • , 24,860 controls
]
European non-white British ancestry UKB
PSS004176
[
  • 71 cases
  • , 7,760 controls
]
South Asian UKB
PSS004177
[
  • 131 cases
  • , 67,294 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004183
[
  • 3 cases
  • , 6,494 controls
]
African unspecified UKB
PSS004185
[
  • 12 cases
  • , 24,893 controls
]
European non-white British ancestry UKB
PSS004186
[
  • 2 cases
  • , 7,829 controls
]
South Asian UKB
PSS004187
[
  • 30 cases
  • , 67,395 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004188
[
  • 5 cases
  • , 6,492 controls
]
African unspecified UKB
PSS009586 Severe progressive group as patients with the top quartile of SHS (more than 35 points) and the non-severe progressive group as the remaining patients. 740 individuals,
14.4 % Male samples
Mean = 48.5 years
Sd = 12.4 years
East Asian
(Japanese)
IORRA
PSS009588
[
  • 498 cases
  • , 935 controls
]
European BV
PSS004190
[
  • 32 cases
  • , 24,873 controls
]
European non-white British ancestry UKB
PSS004191
[
  • 18 cases
  • , 7,813 controls
]
South Asian UKB
PSS004193
[
  • 122 cases
  • , 6,375 controls
]
African unspecified UKB
PSS004706
[
  • 2 cases
  • , 6,495 controls
]
African unspecified UKB
PSS004707
[
  • 2 cases
  • , 1,702 controls
]
East Asian UKB
PSS004708
[
  • 81 cases
  • , 24,824 controls
]
European non-white British ancestry UKB
PSS004709
[
  • 21 cases
  • , 7,810 controls
]
South Asian UKB
PSS004710
[
  • 231 cases
  • , 67,194 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004194
[
  • 19 cases
  • , 1,685 controls
]
East Asian UKB
PSS004195
[
  • 409 cases
  • , 24,496 controls
]
European non-white British ancestry UKB
PSS004196
[
  • 197 cases
  • , 7,634 controls
]
South Asian UKB
PSS004197
[
  • 1,343 cases
  • , 66,082 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS008183 6,094 individuals South Asian India (South Asia) UKB
PSS009882
[
  • 433 cases
  • , 505 controls
]
European KP
PSS009883
[
  • 1,354 cases
  • , 252,065 controls
]
European UKB
PSS000016 Inflammatory bowel disease ascertainment was based on report in an interview with a trained nurse, or an ICD-9 code of 555.X or ICD-10 code of K51.X in hospitalization records.
[
  • 5,853 cases
  • , 283,125 controls
]
European UKB UKB Phase 2
PSS004228
[
  • 5 cases
  • , 6,492 controls
]
African unspecified UKB
PSS004229
[
  • 2 cases
  • , 1,702 controls
]
East Asian UKB
PSS004230
[
  • 80 cases
  • , 24,825 controls
]
European non-white British ancestry UKB
PSS004231
[
  • 15 cases
  • , 7,816 controls
]
South Asian UKB
PSS004232
[
  • 278 cases
  • , 67,147 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004741
[
  • 36 cases
  • , 6,461 controls
]
African unspecified UKB
PSS004742
[
  • 5 cases
  • , 1,699 controls
]
East Asian UKB
PSS000993 All individuals had systemic lupus erythematosus. Cases are individuals that also have renal disease
[
  • 1,152 cases
  • , 1,949 controls
]
European NR
PSS000994 All individuals had systemic lupus erythematosus. Cases are individuals that also have renal disease
[
  • 146 cases
  • , 378 controls
]
European NR Cases and controls obtained by SLEGEN.
PSS004743
[
  • 284 cases
  • , 24,621 controls
]
European non-white British ancestry UKB
PSS004744
[
  • 125 cases
  • , 7,706 controls
]
South Asian UKB
PSS004745
[
  • 892 cases
  • , 66,533 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS008167 5,954 individuals South Asian India (South Asia) UKB
PSS008212 5,337 individuals South Asian India (South Asia) UKB
PSS000429 JIA diagnosis was made according to International League of Associations for Rheumatology standards (PMID:14760812) from EHR. Control subjects were unrelated and disease-free children.
[
  • 66 cases
  • , 2,954 controls
]
,
51.46 % Male samples
European CHOP
PSS000430 JIA diagnosis was made according to International League of Associations for Rheumatology standards (PMID:14760812) from EHR. Control subjects were unrelated and disease-free children.
[
  • 203 cases
  • , 2,954 controls
]
,
49.19 % Male samples
European CHOP
PSS000431 JIA diagnosis was made according to International League of Associations for Rheumatology standards (PMID:14760812) from EHR. Control subjects were unrelated and disease-free children.
[
  • 135 cases
  • , 2,954 controls
]
,
50.11 % Male samples
European CHOP
PSS000432 Diagnosis of JIA by a paediatric rheumatologist.
[
  • 16 cases
  • , 578 controls
]
,
58.59 % Male samples
European CLARITY Cohort description (PMID): 23153063
PSS000433 Diagnosis of JIA by a paediatric rheumatologist.
[
  • 159 cases
  • , 578 controls
]
,
51.15 % Male samples
European CLARITY Cohort description (PMID): 23153063
PSS000434 Diagnosis of JIA by a paediatric rheumatologist.
[
  • 75 cases
  • , 578 controls
]
,
54.82 % Male samples
European CLARITY Cohort description (PMID): 23153063
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.
[
  • 1,001 cases
  • , 2,802 controls
]
European Karolinska, UHU The discovery cohort included 1001 patients from the University clinics in Uppsala, Linköping, Karolinska Institute (Stockholm), Lund, and from the four northern-most counties in Sweden
PSS000437 The discovery cohort included 1001 patients from the University clinics in Uppsala, Linköping, Karolinska Institute (Stockholm), Lund, and from the four northern-most counties in Sweden. All subjects fulfilled ≥4 ACR-82 classification criteria for SLE and were of European descent.30 Clinical data were collected from the patients’ medical files, including SDI scores, the ACR-82 classification criteria, clinical antiphospholipid syndrome (APS) diagnosis, glomerular filtration rate, chronic kidney disease (CKD) stages, ESRD, renal biopsy data and CVE, defined as myocardial infarction, ischaemic cerebrovascular disease or venous thromboembolism (VTE).
[
  • 1,001 cases
  • , 0 controls
]
European Karolinska, UHU The discovery cohort included 1001 patients from the University clinics in Uppsala, Linköping, Karolinska Institute (Stockholm), Lund, and from the four northern-most counties in Sweden
PSS000438
[
  • 5,524 cases
  • , 9,859 controls
]
European NR The replication cohort is described in Langefeld et al. (PMID:28714469)
PSS008680 6,241 individuals European Italy (South Europe) UKB
PSS008234 5,728 individuals South Asian India (South Asia) UKB
PSS008235 5,671 individuals South Asian India (South Asia) UKB
PSS008681 6,216 individuals European Italy (South Europe) UKB
PSS000179 JIA diagnosis was made according to International League of Associations for Rheumatology standards (PMID:14760812) from EHR. Control subjects were unrelated and disease-free children.
[
  • 559 cases
  • , 2,954 controls
]
,
47.5 % Male samples
European CHOP
PSS000180 Diagnosis of JIA by a paediatric rheumatologist.
[
  • 362 cases
  • , 578 controls
]
,
48.9 % Male samples
European CLARITY Cohort description (PMID): 23153063
PSS007735 2,410 individuals African American or Afro-Caribbean Carribean UKB
PSS004273
[
  • 11 cases
  • , 6,486 controls
]
African unspecified UKB
PSS004274
[
  • 107 cases
  • , 24,798 controls
]
European non-white British ancestry UKB
PSS004275
[
  • 4 cases
  • , 7,827 controls
]
South Asian UKB
PSS004276
[
  • 277 cases
  • , 67,148 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS009285 19,108 individuals European UK (+ Ireland) UKB
PSS007749 2,390 individuals African American or Afro-Caribbean Carribean UKB
PSS009301 19,299 individuals European UK (+ Ireland) UKB
PSS007777 2,105 individuals African American or Afro-Caribbean Carribean UKB
PSS000312 Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases Median = 8.0 years
[
  • 30 cases
  • , 215 controls
]
,
32.0 % Male samples
European PHB
PSS000313 Setting III: Based on ICD codes and final diagnosis in medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases Median = 7.0 years
[
  • 22 cases
  • , 221 controls
]
,
32.0 % Male samples
European PHB
PSS000314 Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases Median = 8.0 years
[
  • 90 cases
  • , 155 controls
]
,
32.0 % Male samples
European PHB
PSS000315 Setting III: Based on ICD codes and final diagnosis in medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases Median = 7.0 years
[
  • 115 cases
  • , 128 controls
]
,
32.0 % Male samples
European PHB
PSS009330 16,188 individuals European UK (+ Ireland) UKB
PSS000318 Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases Median = 8.0 years
[
  • 62 cases
  • , 183 controls
]
,
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
[
  • 7 cases
  • , 236 controls
]
,
32.0 % Male samples
European PHB
PSS000321 Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases Median = 16.0 years
[
  • 52 cases
  • , 1,159 controls
]
,
43.0 % Male samples
European, African unspecified, Asian unspecified, NR Primarily European, African and Asian ancestry eMERGE
PSS000322 Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases Median = 16.0 years
[
  • 574 cases
  • , 637 controls
]
,
43.0 % Male samples
European, African unspecified, Asian unspecified, NR Primarily European, African and Asian ancestry eMERGE
PSS007799 2,277 individuals African American or Afro-Caribbean Carribean UKB
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
[
  • 133 cases
  • , 1,078 controls
]
,
43.0 % Male samples
European, African unspecified, Asian unspecified, NR Primarily European, African and Asian ancestry eMERGE
PSS004339
[
  • 27 cases
  • , 6,470 controls
]
African unspecified UKB
PSS004340
[
  • 5 cases
  • , 1,699 controls
]
East Asian UKB
PSS004341
[
  • 239 cases
  • , 24,666 controls
]
European non-white British ancestry UKB
PSS004342
[
  • 103 cases
  • , 7,728 controls
]
South Asian UKB
PSS004343
[
  • 720 cases
  • , 66,705 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS008838 3,836 individuals African unspecified Nigeria (West Africa) UKB
PSS009352 18,393 individuals European UK (+ Ireland) UKB
PSS009353 18,262 individuals European UK (+ Ireland) UKB
PSS000490 Cases included physician-confirmed psoriatic arthritis (PsA). Controls inclded individuals with psoriasis with no history of joint symptoms (psoriasis only - PsO).
[
  • 140 cases
  • , 403 controls
]
NR NR
PSS008853 3,790 individuals African unspecified Nigeria (West Africa) UKB
PSS008881 3,465 individuals African unspecified Nigeria (West Africa) UKB
PSS008389 1,143 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008903 3,634 individuals African unspecified Nigeria (West Africa) UKB
PSS001027 Cases were individuals with systemic lupus erythematosus (SLE). All cases were carefully recruited regarding the criteria from the American College of Rheumatology (ACR). Controls included healthy individuals and individuals who had unrelated diseases including: breast cancer, periodontitis, tuberculosis, drug-induced liver injury, epileptic encephalopathy, dengue hemorrhagic fever, thalassemia, and cardiomyopathy.
[
  • 826 cases
  • , 3,170 controls
]
,
40.31 % Male samples
South East Asian
(Thai)
NR Cases were recruited from King Chulalongkorn Memorial Hospital and the Rheumatology clinic at Ramathbodi hospital. Control data was provided by the Department of Medical Science, Min- istry of Public Health, Thailand.
PSS008403 1,164 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS000907 Cases are individuals with vitiligo. Diagnoses of vitiligo in multiplex-affected subjects and reportedly unaffected family members were verified by manual review of all available phenotype information for each subject.
[
  • 1,827 cases
  • , 2,181 controls
]
European NR
PSS004437
[
  • 17 cases
  • , 6,480 controls
]
African unspecified UKB
PSS004438
[
  • 4 cases
  • , 1,700 controls
]
East Asian UKB
PSS004439
[
  • 58 cases
  • , 24,847 controls
]
European non-white British ancestry UKB
PSS004440
[
  • 29 cases
  • , 7,802 controls
]
South Asian UKB
PSS004441
[
  • 135 cases
  • , 67,290 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004442
[
  • 20 cases
  • , 6,477 controls
]
African unspecified UKB
PSS004444
[
  • 105 cases
  • , 24,800 controls
]
European non-white British ancestry UKB
PSS004445
[
  • 42 cases
  • , 7,789 controls
]
South Asian UKB
PSS004446
[
  • 361 cases
  • , 67,064 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS008432 1,007 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS001034 Cases were individuals with cutaneous lupus erythematosus. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42.
[
  • 161 cases
  • , 47,160 controls
]
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.
[
  • 880 cases
  • , 47,037 controls
]
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
[
  • 1,881 cases
  • , 38,647 controls
]
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.
[
  • 1,916 cases
  • , 48,513 controls
]
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.
[
  • 867 cases
  • , 47,037 controls
]
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.
[
  • 120 cases
  • , 18,302 controls
]
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.
[
  • 393 cases
  • , 18,305 controls
]
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.
[
  • 1,156 cases
  • , 18,035 controls
]
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.
[
  • 3,029 cases
  • , 18,445 controls
]
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.
[
  • 418 cases
  • , 18,304 controls
]
European eMERGE
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
PSS004486
[
  • 5 cases
  • , 6,492 controls
]
African unspecified UKB
PSS004487
[
  • 2 cases
  • , 1,702 controls
]
East Asian UKB
PSS004488
[
  • 79 cases
  • , 24,826 controls
]
European non-white British ancestry UKB
PSS004489
[
  • 14 cases
  • , 7,817 controls
]
South Asian UKB
PSS004490
[
  • 268 cases
  • , 67,157 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004491
[
  • 118 cases
  • , 6,379 controls
]
African unspecified UKB
PSS004492
[
  • 18 cases
  • , 1,686 controls
]
East Asian UKB
PSS004493
[
  • 399 cases
  • , 24,506 controls
]
European non-white British ancestry UKB
PSS004494
[
  • 194 cases
  • , 7,637 controls
]
South Asian UKB
PSS001049 Cases are individuals with multiple sclerosis.
[
  • 29 cases
  • , 8,341 controls
]
European Mainland Scotland GS:SFHS
PSS001050 Cases are individuals with multiple sclerosis.
[
  • 80 cases
  • , 645 controls
]
European Orkney ORCADES
PSS001051 Cases are individuals with multiple sclerosis.
[
  • 14 cases
  • , 642 controls
]
European Shetlands VIKING
PSS004495
[
  • 1,301 cases
  • , 66,124 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS007954 1,754 individuals East Asian China (East Asia) UKB
PSS009691 6,503 individuals African unspecified UKB
PSS009692 922 individuals East Asian UKB
PSS009693 43,505 individuals European Non-British European UKB
PSS009694 8,098 individuals South Asian UKB
PSS004526
[
  • 116 cases
  • , 6,381 controls
]
African unspecified UKB
PSS004527
[
  • 44 cases
  • , 1,660 controls
]
East Asian UKB
PSS004528
[
  • 286 cases
  • , 24,619 controls
]
European non-white British ancestry UKB
PSS004529
[
  • 92 cases
  • , 7,739 controls
]
South Asian UKB
PSS004530
[
  • 805 cases
  • , 66,620 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS007994 1,630 individuals East Asian China (East Asia) UKB
PSS008014 1,754 individuals East Asian China (East Asia) UKB
PSS004565
[
  • 127 cases
  • , 6,370 controls
]
African unspecified UKB
PSS004566
[
  • 51 cases
  • , 1,653 controls
]
East Asian UKB
PSS004567
[
  • 334 cases
  • , 24,571 controls
]
European non-white British ancestry UKB
PSS004568
[
  • 107 cases
  • , 7,724 controls
]
South Asian UKB
PSS004569
[
  • 935 cases
  • , 66,490 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS009059 3,938 individuals European Poland (NE Europe) UKB
PSS000960 Cases were individuals with systemic lupus erythematosus.
[
  • 910 cases
  • , 430 controls
]
European NR
PSS000961 Cases were individuals with systemic lupus erythematosus.
[
  • 2,354 cases
  • , 5,379 controls
]
European NR
PSS000962 Cases were individuals with systemic lupus erythematosus.
[
  • 406 cases
  • , 706 controls
]
European NR
PSS000963 Cases were individuals with systemic lupus erythematosus.
[
  • 1,604 cases
  • , 985 controls
]
East Asian
(Han Chinese)
NR
PSS009075 4,011 individuals European Poland (NE Europe) UKB
PSS000970 Median = 400.0 days 1,584 individuals European GNEHGI2020Q2
PSS004099
[
  • 35 cases
  • , 6,462 controls
]
African unspecified UKB
PSS004100
[
  • 9 cases
  • , 1,695 controls
]
East Asian UKB
PSS004101
[
  • 190 cases
  • , 24,715 controls
]
European non-white British ancestry UKB
PSS004102
[
  • 37 cases
  • , 7,794 controls
]
South Asian UKB
PSS004103
[
  • 612 cases
  • , 66,813 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS009104 3,520 individuals European Poland (NE Europe) UKB
PSS004192
[
  • 127 cases
  • , 67,298 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004114
[
  • 20 cases
  • , 6,477 controls
]
African unspecified UKB
PSS004115
[
  • 2 cases
  • , 1,702 controls
]
East Asian UKB
PSS004116
[
  • 117 cases
  • , 24,788 controls
]
European non-white British ancestry UKB
PSS004117
[
  • 48 cases
  • , 7,783 controls
]
South Asian UKB
PSS004119
[
  • 27 cases
  • , 6,470 controls
]
African unspecified UKB
PSS004120
[
  • 5 cases
  • , 1,699 controls
]
East Asian UKB
PSS004121
[
  • 260 cases
  • , 24,645 controls
]
European non-white British ancestry UKB
PSS004122
[
  • 113 cases
  • , 7,718 controls
]
South Asian UKB
PSS004123
[
  • 788 cases
  • , 66,637 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004118
[
  • 393 cases
  • , 67,032 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004637
[
  • 12 cases
  • , 6,485 controls
]
African unspecified UKB
PSS008613 6,381 individuals European Italy (South Europe) UKB
PSS004639
[
  • 115 cases
  • , 24,790 controls
]
European non-white British ancestry UKB
PSS004640
[
  • 5 cases
  • , 7,826 controls
]
South Asian UKB
PSS004641
[
  • 302 cases
  • , 67,123 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS009126 3,878 individuals European Poland (NE Europe) UKB
PSS009127 3,854 individuals European Poland (NE Europe) UKB
PSS008629 6,463 individuals European Italy (South Europe) UKB