| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000017 (GPS_IBD) |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Inflammatory bowel disease | inflammatory bowel disease | 6,907,112 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000017/ScoringFiles/PGS000017.txt.gz | |
| PGS000021 (GRS1) |
PGP000011 | Oram RA et al. Diabetes Care (2015) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 33 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000021/ScoringFiles/PGS000021.txt.gz | |
| PGS000022 (T1D_GRS) |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 37 | - - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000022/ScoringFiles/PGS000022.txt.gz |
| PGS000023 (AA_GRS) |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 7 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000023/ScoringFiles/PGS000023.txt.gz |
| PGS000024 (GRS2) |
PGP000014 | Sharp SA et al. Diabetes Care (2019) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 85 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000024/ScoringFiles/PGS000024.txt.gz |
| PGS000040 (GRS_CeD) |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Coeliac disease | celiac disease | 228 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000040/ScoringFiles/PGS000040.txt.gz |
| PGS000041 (GRS-DQ2.5-CeD) |
PGP000029 | Abraham G et al. Genome Med (2015) |
Coeliac disease | celiac disease | 2,513 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000041/ScoringFiles/PGS000041.txt.gz |
| PGS000042 (GRS-DQ2.5-CeD-imputed) |
PGP000029 | Abraham G et al. Genome Med (2015) |
Coeliac disease | celiac disease | 3,317 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000042/ScoringFiles/PGS000042.txt.gz |
| PGS000194 (G-PROB_Rapos) |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Rheumatoid arthritis (CCP-negative) | ACPA-positive rheumatoid arthritis | 114 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000194/ScoringFiles/PGS000194.txt.gz |
| PGS000195 (G-PROB_Raneg) |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Rheumatoid arthritis (CCP-negative) | ACPA-negative rheumatoid arthritis | 96 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000195/ScoringFiles/PGS000195.txt.gz |
| PGS000196 (G-PROB_SLE) |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Systemic lupus erythematosus | systemic lupus erythematosus | 55 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000196/ScoringFiles/PGS000196.txt.gz |
| PGS000197 (G-PROB_SpA) |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Spondyloarthroparthy | spondyloarthropathy | 31 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000197/ScoringFiles/PGS000197.txt.gz |
| PGS000198 (G-PROB_PsA) |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Psoriatic arthritis | psoriatic arthritis | 31 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000198/ScoringFiles/PGS000198.txt.gz |
| PGS000316 (GRS42_Coeliac) |
PGP000093 | Sharp SA et al. Aliment Pharmacol Ther (2020) |
Coeliac disease | celiac disease | 53 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000316/ScoringFiles/PGS000316.txt.gz | |
| PGS000328 (GRS_SLE) |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Systemic lupus erythematosus | systemic lupus erythematosus | 57 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000328/ScoringFiles/PGS000328.txt.gz |
| PGS000341 (GRS33_SSc) |
PGP000110 | Bossini-Castillo L et al. Ann Rheum Dis (2020) |
Systemic sclerosis | systemic sclerosis | 33 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000341/ScoringFiles/PGS000341.txt.gz | |
| PGS000342 (wGRS_PsA) |
PGP000111 | Smith MP et al. J Psoriasis Psoriatic Arthritis (2020) |
Psoriatic arthritis | psoriatic arthritis | 11 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000342/ScoringFiles/PGS000342.txt.gz |
| PGS000343 (wGRS_PsA_HLA) |
PGP000111 | Smith MP et al. J Psoriasis Psoriatic Arthritis (2020) |
Psoriatic arthritis | psoriatic arthritis | 5 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000343/ScoringFiles/PGS000343.txt.gz |
| PGS000643 (PRSWEB_PHECODE202.21_C-FOLLICULAR-LYMPHOMA_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Nodular lymphoma | follicular lymphoma | 1,048,780 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000643/ScoringFiles/PGS000643.txt.gz | |
| PGS000644 (PRSWEB_PHECODE202.21_C-FOLLICULAR-LYMPHOMA_LASSOSUM_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Nodular lymphoma | follicular lymphoma | 2,209,179 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000644/ScoringFiles/PGS000644.txt.gz | |
| PGS000646 (PRSWEB_PHECODE204.12_GWAS-Catalog-r2019-05-03-X204.12_P_5e-08_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Chronic lymphocytic leukemia | B-cell chronic lymphocytic leukemia | 32 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000646/ScoringFiles/PGS000646.txt.gz | |
| PGS000647 (PRSWEB_PHECODE204.12_GWAS-Catalog-r2019-05-03-X204.12_P_5e-08_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Chronic lymphocytic leukemia | B-cell chronic lymphocytic leukemia | 32 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000647/ScoringFiles/PGS000647.txt.gz | |
| PGS000648 (PRSWEB_PHECODE204.12_GWAS-Catalog-r2019-05-03-X204.12_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Chronic lymphocytic leukemia | B-cell chronic lymphocytic leukemia | 44 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000648/ScoringFiles/PGS000648.txt.gz | |
| PGS000649 (PRSWEB_PHECODE204.12_GWAS-Catalog-r2019-05-03-X204.12_PT_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Chronic lymphocytic leukemia | B-cell chronic lymphocytic leukemia | 27 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000649/ScoringFiles/PGS000649.txt.gz | |
| PGS000650 (PRSWEB_PHECODE204.12_UKBB-SAIGE-HRC-X204.12_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Chronic lymphocytic leukemia | B-cell chronic lymphocytic leukemia | 6 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000650/ScoringFiles/PGS000650.txt.gz | |
| PGS000651 (PRSWEB_PHECODE204.12_UKBB-SAIGE-HRC-X204.12_LASSOSUM_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Chronic lymphocytic leukemia | B-cell chronic lymphocytic leukemia | 76 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000651/ScoringFiles/PGS000651.txt.gz | |
| PGS000652 (PRSWEB_PHECODE204.4_C90_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Multiple myeloma | plasma cell myeloma | 27 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000652/ScoringFiles/PGS000652.txt.gz | |
| PGS000653 (PRSWEB_PHECODE204.4_GWAS-Catalog-r2019-05-03-X204.4_P_5e-08_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Multiple myeloma | plasma cell myeloma | 22 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000653/ScoringFiles/PGS000653.txt.gz | |
| PGS000654 (PRSWEB_PHECODE204.4_GWAS-Catalog-r2019-05-03-X204.4_PT_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Multiple myeloma | plasma cell myeloma | 21 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000654/ScoringFiles/PGS000654.txt.gz | |
| PGS000738 (CONFIRMED_PGS) |
PGP000145 | Roberts GHL et al. Am J Hum Genet (2019) |
Vitiligo | vitiligo | 48 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000738/ScoringFiles/PGS000738.txt.gz |
| PGS000754 (PRS_SLE) |
PGP000160 | Wang YF et al. Nat Commun (2021) |
Systemic lupus erythematosus | systemic lupus erythematosus | 293,684 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000754/ScoringFiles/PGS000754.txt.gz |
| PGS000760 (VIT) |
PGP000164 | Khan Z et al. Nat Commun (2021) |
Vitiligo | vitiligo | 42 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000760/ScoringFiles/PGS000760.txt.gz | |
| PGS000771 (GRS95_SLEmain) |
PGP000178 | Chen L et al. Hum Mol Genet (2020) |
Systemic lupus erythematosus | systemic lupus erythematosus | 95 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000771/ScoringFiles/PGS000771.txt.gz | |
| PGS000772 (GRS95_SLEgen) |
PGP000178 | Chen L et al. Hum Mol Genet (2020) |
Systemic lupus erythematosus | systemic lupus erythematosus | 95 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000772/ScoringFiles/PGS000772.txt.gz | |
| PGS000780 (PRS135_allergy) |
PGP000184 | Clark H et al. Clin Exp Allergy (2019) |
Allergic disease | allergic disease | 135 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000780/ScoringFiles/PGS000780.txt.gz |
| PGS000800 (GRSw_SHARE) |
PGP000189 | Dijk FN et al. J Allergy Clin Immunol (2019) |
Allergic disease | allergic disease | 133 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000800/ScoringFiles/PGS000800.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 |
| PGS000810 (wGRS136_Allergy) |
PGP000195 | Ferreira MA et al. Nat Genet (2017) |
Allergic disease (asthma, hay fever or eczema) | allergic disease | 136 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000810/ScoringFiles/PGS000810.txt.gz |
| PGS000833 (T1D) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 66 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000833/ScoringFiles/PGS000833.txt.gz |
| PGS000867 (GRS10_Allergy) |
PGP000213 | Arabkhazaeli A et al. Pediatr Allergy Immunol (2017) |
Allergy | allergic disease | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000867/ScoringFiles/PGS000867.txt.gz |
| PGS000869 (T1D_48) |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 48 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000869/ScoringFiles/PGS000869.txt.gz |
| PGS000874 (PRS41_CLL) |
PGP000220 | Kleinstern G et al. Blood (2018) |
Chronic lymphocytic leukemia | B-cell chronic lymphocytic leukemia | 41 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000874/ScoringFiles/PGS000874.txt.gz |
| PGS001109 (GBE_HC1021) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Vasomotor and allergic rhinitis (time-to-event) | vasomotor rhinitis, allergic rhinitis |
1,910 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001109/ScoringFiles/PGS001109.txt.gz |
| PGS001259 (GBE_HC49) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Hayfever/allergic rhinitis | seasonal allergic rhinitis | 349 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001259/ScoringFiles/PGS001259.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 |
| PGS001283 (GBE_INI3761) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Allergic disease (hay fever, rhinitis or eczema) | allergic disease | 993 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001283/ScoringFiles/PGS001283.txt.gz |
| PGS001284 (GBE_BIN_FC10006152) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Allergic disease (hay fever, allergic rhinitis, or eczema) | allergic disease | 6,755 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001284/ScoringFiles/PGS001284.txt.gz |
| PGS001285 (GBE_BIN_FC5006152) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Allergic disease (hay fever, rhinitis, or eczema) (diagnosed by doctor) | allergic disease | 7,313 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001285/ScoringFiles/PGS001285.txt.gz |
| PGS001286 (GBE_BIN22126) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Allergic disease (hay fever or allergic rhinitis) (diagnosed by doctor) | allergic disease | 466 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001286/ScoringFiles/PGS001286.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 |
| PGS001296 (GBE_HC648) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Insulin-dependent diabetes mellitus (time-to-event) | type 1 diabetes mellitus | 356 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001296/ScoringFiles/PGS001296.txt.gz |
| PGS001297 (GBE_HC337) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 69 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001297/ScoringFiles/PGS001297.txt.gz |
| PGS001300 (GBE_BIN21068) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Celiac disease or gluten sensitivity, diagnosed | celiac disease | 9 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001300/ScoringFiles/PGS001300.txt.gz |
| PGS001301 (GBE_HC303) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Malabsorption/coeliac disease | celiac disease | 428 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001301/ScoringFiles/PGS001301.txt.gz |
| 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 |
| PGS001312 (GBE_HC38) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Psoriasis | psoriasis | 204 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001312/ScoringFiles/PGS001312.txt.gz |
| PGS001313 (GBE_HC1159) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Psoriasis (time-to-event) | psoriasis | 578 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001313/ScoringFiles/PGS001313.txt.gz |
| PGS001330 (GBE_HC1101) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Crohn's disease [regional enteritis] (time-to-event) | Crohn disease | 220 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001330/ScoringFiles/PGS001330.txt.gz |
| PGS001331 (GBE_HC322) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Crohn's disease | Crohn disease | 257 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001331/ScoringFiles/PGS001331.txt.gz |
| PGS001372 (GBE_INI22146) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Age hayfever or allergic rhinitis diagnosed by doctor | allergic disease | 255 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001372/ScoringFiles/PGS001372.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 |
| PGS001773 (PRS_atopicDermatitis) |
PGP000253 | Simard M et al. J Allergy Clin Immunol (2020) |
Moderate-to-severe atopic dermatitis | atopic eczema | 25 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001773/ScoringFiles/PGS001773.txt.gz |
| PGS001810 (portability-PLR_200.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Polycythemia vera | acquired polycythemia vera | 67 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001810/ScoringFiles/PGS001810.txt.gz |
| PGS001817 (portability-PLR_250.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 825 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001817/ScoringFiles/PGS001817.txt.gz |
| PGS001831 (portability-PLR_335) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Multiple sclerosis | multiple sclerosis | 491 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001831/ScoringFiles/PGS001831.txt.gz |
| 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 |
| PGS001856 (portability-PLR_557.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Celiac disease | celiac disease | 1,661 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001856/ScoringFiles/PGS001856.txt.gz |
| PGS001870 (portability-PLR_695.4) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Lupus (localized and systemic) | lupus erythematosus | 87 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001870/ScoringFiles/PGS001870.txt.gz |
| PGS001871 (portability-PLR_696.4) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Psoriasis | psoriasis | 264 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001871/ScoringFiles/PGS001871.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 |
| PGS001885 (portability-PLR_960.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Allergy/adverse effect of penicillin | drug allergy | 95 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001885/ScoringFiles/PGS001885.txt.gz |
| PGS001894 (portability-PLR_celiac_gluten) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Diagnosed with coeliac disease or gluten sensitivity | celiac disease | 484 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001894/ScoringFiles/PGS001894.txt.gz |
| PGS002025 (portability-ldpred2_250.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 106,800 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002025/ScoringFiles/PGS002025.txt.gz |
| PGS002038 (portability-ldpred2_335) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Multiple sclerosis | multiple sclerosis | 129,077 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002038/ScoringFiles/PGS002038.txt.gz |
| 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 |
| PGS002067 (portability-ldpred2_557.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Celiac disease | celiac disease | 58,231 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002067/ScoringFiles/PGS002067.txt.gz |
| PGS002082 (portability-ldpred2_695.4) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Lupus (localized and systemic) | lupus erythematosus | 361,553 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002082/ScoringFiles/PGS002082.txt.gz |
| PGS002083 (portability-ldpred2_696.4) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Psoriasis | psoriasis | 71,744 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002083/ScoringFiles/PGS002083.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 |
| PGS002097 (portability-ldpred2_960.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Allergy/adverse effect of penicillin | drug allergy | 742,904 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002097/ScoringFiles/PGS002097.txt.gz |
| PGS002107 (portability-ldpred2_celiac_gluten) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Diagnosed with coeliac disease or gluten sensitivity | celiac disease | 39,066 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002107/ScoringFiles/PGS002107.txt.gz |
| PGS002260 (PRS_RA) |
PGP000286 | Honda S et al. Arthritis Rheumatol (2022) |
Rheumatoid arthritis | rheumatoid arthritis | 43,784 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002260/ScoringFiles/PGS002260.txt.gz | |
| PGS002281 (PRS23_MM) |
PGP000310 | Canzian F et al. Eur J Hum Genet (2021) |
Multiple myeloma | plasma cell myeloma | 23 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002281/ScoringFiles/PGS002281.txt.gz |
| PGS002293 (PRS62_psoriasis) |
PGP000323 | Shen M et al. J Am Acad Dermatol (2022) |
Psoriasis | psoriasis | 62 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002293/ScoringFiles/PGS002293.txt.gz |
| PGS002303 (PRS9_DLBCL) |
PGP000328 | Choi J et al. Int J Cancer (2020) |
Diffuse large B-cell lymphoma | diffuse large B-cell lymphoma | 9 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002303/ScoringFiles/PGS002303.txt.gz |
| PGS002304 (PRS6_FL) |
PGP000328 | Choi J et al. Int J Cancer (2020) |
Follicular lymphoma | follicular lymphoma | 6 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002304/ScoringFiles/PGS002304.txt.gz |
| PGS002306 (PRS23_MM) |
PGP000328 | Choi J et al. Int J Cancer (2020) |
Multiple myeloma | plasma cell myeloma | 23 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002306/ScoringFiles/PGS002306.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 |
| PGS002344 (disease_PSORIASIS.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Psoriasis | psoriasis | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002344/ScoringFiles/PGS002344.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 |
| PGS002416 (disease_PSORIASIS.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Psoriasis | psoriasis | 6,879 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002416/ScoringFiles/PGS002416.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 |
| PGS002465 (disease_PSORIASIS.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Psoriasis | psoriasis | 21,483 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002465/ScoringFiles/PGS002465.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 |
| PGS002514 (disease_PSORIASIS.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Psoriasis | psoriasis | 96,453 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002514/ScoringFiles/PGS002514.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 |
| PGS002563 (disease_PSORIASIS.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Psoriasis | psoriasis | 1,348 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002563/ScoringFiles/PGS002563.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 |
| PGS002612 (disease_PSORIASIS.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Psoriasis | psoriasis | 643 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002612/ScoringFiles/PGS002612.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 |
| PGS002661 (disease_PSORIASIS.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Psoriasis | psoriasis | 283,128 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002661/ScoringFiles/PGS002661.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 |
| PGS002710 (disease_PSORIASIS.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Psoriasis | psoriasis | 566,839 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002710/ScoringFiles/PGS002710.txt.gz |
| PGS002726 (PGS_MS_Brain) |
PGP000334 | Shams H et al. Brain (2022) |
Multiple sclerosis | multiple sclerosis | 476,399 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002726/ScoringFiles/PGS002726.txt.gz |
| PGS002745 (metaPGS_RA) |
PGP000357 | Ishigaki K et al. Nat Genet (2022) |
Rheumatoid arthritis | rheumatoid arthritis | 2,575 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002745/ScoringFiles/PGS002745.txt.gz |
| PGS002755 (Atopic_dermatitis_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Atopic dermatitis | atopic eczema | 1,090,702 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002755/ScoringFiles/PGS002755.txt.gz |
| PGS002769 (Rheumatoid_arthritis_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Seropositive rheumatoid arthritis | rheumatoid arthritis | 1,083,565 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002769/ScoringFiles/PGS002769.txt.gz |
| PGS003420 (PRS100_PRScs) |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Ankylosing spondylitis | ankylosing spondylitis | 100 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003420/ScoringFiles/PGS003420.txt.gz |
| PGS003421 (PRS16_C+T) |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Ankylosing spondylitis | ankylosing spondylitis | 16 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003421/ScoringFiles/PGS003421.txt.gz |
| PGS003422 (PRS16_PRSice2) |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Ankylosing spondylitis | ankylosing spondylitis | 16 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003422/ScoringFiles/PGS003422.txt.gz |
| PGS003423 (PRS100_Lassosum) |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Ankylosing spondylitis | ankylosing spondylitis | 100 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003423/ScoringFiles/PGS003423.txt.gz |
| PGS003424 (PRS100_LDpred2) |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Ankylosing spondylitis | ankylosing spondylitis | 100 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003424/ScoringFiles/PGS003424.txt.gz |
| PGS003450 (PRS24_MM) |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Multiple myeloma | plasma cell myeloma | 24 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003450/ScoringFiles/PGS003450.txt.gz |
| PGS003451 (PRS2_MZL) |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Marginal zone lymphoma | marginal zone lymphoma | 2 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003451/ScoringFiles/PGS003451.txt.gz |
| PGS003452 (PRS2_WM) |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Waldenström macroglobulinemia | Waldenstrom macroglobulinemia | 2 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003452/ScoringFiles/PGS003452.txt.gz |
| PGS003453 (PRS43_CLL) |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Chronic lymphocytic leukemia | B-cell chronic lymphocytic leukemia | 43 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003453/ScoringFiles/PGS003453.txt.gz |
| PGS003454 (PRS5_DLBCL) |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Diffuse large B-cell lymphoma | diffuse large B-cell lymphoma | 5 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003454/ScoringFiles/PGS003454.txt.gz |
| PGS003455 (PRS7_FL) |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Follicular lymphoma | follicular lymphoma | 7 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003455/ScoringFiles/PGS003455.txt.gz |
| PGS003458 (PRS_AT) |
PGP000451 | Al-Janabi A et al. J Invest Dermatol (2023) |
General atopic disease | allergic disease | 124 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003458/ScoringFiles/PGS003458.txt.gz |
| PGS003459 (PRS_CO) |
PGP000451 | Al-Janabi A et al. J Invest Dermatol (2023) |
Atopic eczema or atopic disease | atopic eczema, allergic disease |
170 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003459/ScoringFiles/PGS003459.txt.gz |
| PGS003486 (PRS_AE) |
PGP000451 | Al-Janabi A et al. J Invest Dermatol (2023) |
Atopic eczema | atopic eczema | 71 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003486/ScoringFiles/PGS003486.txt.gz |
| PGS003487 (PRS_IL4) |
PGP000451 | Al-Janabi A et al. J Invest Dermatol (2023) |
General atopic disease (IL-4 related variants) | allergic disease | 25 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003487/ScoringFiles/PGS003487.txt.gz |
| PGS003488 (PRS_IL12) |
PGP000451 | Al-Janabi A et al. J Invest Dermatol (2023) |
General atopic disease (IL-12 related variants) | allergic disease | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003488/ScoringFiles/PGS003488.txt.gz |
| PGS003489 (PRS_IL17) |
PGP000451 | Al-Janabi A et al. J Invest Dermatol (2023) |
General atopic disease (IL-17 related variants) | allergic disease | 18 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003489/ScoringFiles/PGS003489.txt.gz |
| PGS003749 (ModelT1D_under25) |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 6,612 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003749/ScoringFiles/PGS003749.txt.gz | |
| PGS003750 (ModelT1D) |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 7,835 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003750/ScoringFiles/PGS003750.txt.gz | |
| PGS003755 (wGRS_SLE) |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Systemic lupus erythematosus | systemic lupus erythematosus | 122 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003755/ScoringFiles/PGS003755.txt.gz |
| PGS003756 (wGRS_SLE_non-HLA) |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Systemic lupus erythematosus | systemic lupus erythematosus | 112 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003756/ScoringFiles/PGS003756.txt.gz |
| PGS003757 (wGRS_SLE_HLA) |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Systemic lupus erythematosus | systemic lupus erythematosus | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003757/ScoringFiles/PGS003757.txt.gz |
| PGS003960 (GRS57_SLE) |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Systemic lupus erythematosus | systemic lupus erythematosus | 57 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003960/ScoringFiles/PGS003960.txt.gz |
| PGS003981 (dbslmm.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,103,311 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003981/ScoringFiles/PGS003981.txt.gz | |
| PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 63,182 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003993/ScoringFiles/PGS003993.txt.gz | |
| PGS003994 (dbslmm.auto.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 778,205 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003994/ScoringFiles/PGS003994.txt.gz | |
| PGS003997 (lassosum.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 8,406 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003997/ScoringFiles/PGS003997.txt.gz | |
| PGS004009 (lassosum.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 4,031 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004009/ScoringFiles/PGS004009.txt.gz | |
| PGS004010 (lassosum.auto.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 27,045 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004010/ScoringFiles/PGS004010.txt.gz | |
| PGS004013 (lassosum.CV.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 22,690 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004013/ScoringFiles/PGS004013.txt.gz | |
| PGS004020 (lassosum.CV.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 6,682 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004020/ScoringFiles/PGS004020.txt.gz | |
| PGS004021 (lassosum.CV.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 315,740 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004021/ScoringFiles/PGS004021.txt.gz | |
| PGS004023 (ldpred2.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,018,068 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004023/ScoringFiles/PGS004023.txt.gz | |
| PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 56,562 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004035/ScoringFiles/PGS004035.txt.gz | |
| PGS004038 (ldpred2.CV.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,018,068 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004038/ScoringFiles/PGS004038.txt.gz | |
| PGS004049 (ldpred2.CV.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 373,627 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004049/ScoringFiles/PGS004049.txt.gz | |
| PGS004051 (megaprs.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 784,928 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004051/ScoringFiles/PGS004051.txt.gz | |
| PGS004063 (megaprs.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 56,288 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004063/ScoringFiles/PGS004063.txt.gz | |
| PGS004064 (megaprs.auto.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 402,214 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004064/ScoringFiles/PGS004064.txt.gz | |
| PGS004067 (megaprs.CV.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 784,928 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004067/ScoringFiles/PGS004067.txt.gz | |
| PGS004078 (megaprs.CV.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 56,288 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004078/ScoringFiles/PGS004078.txt.gz | |
| PGS004079 (megaprs.CV.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 402,214 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004079/ScoringFiles/PGS004079.txt.gz | |
| PGS004081 (prscs.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,073,268 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004081/ScoringFiles/PGS004081.txt.gz | |
| PGS004093 (prscs.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 61,651 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004093/ScoringFiles/PGS004093.txt.gz | |
| PGS004094 (prscs.auto.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 755,048 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004094/ScoringFiles/PGS004094.txt.gz | |
| PGS004097 (prscs.CV.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,073,268 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004097/ScoringFiles/PGS004097.txt.gz | |
| PGS004102 (prscs.CV.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 61,651 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004102/ScoringFiles/PGS004102.txt.gz | |
| PGS004103 (prscs.CV.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 755,048 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004103/ScoringFiles/PGS004103.txt.gz | |
| PGS004105 (pt_clump.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 139 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004105/ScoringFiles/PGS004105.txt.gz | |
| PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 131 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004117/ScoringFiles/PGS004117.txt.gz | |
| PGS004118 (pt_clump.auto.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 91 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004118/ScoringFiles/PGS004118.txt.gz | |
| PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 774 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004121/ScoringFiles/PGS004121.txt.gz | |
| PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 354 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004132/ScoringFiles/PGS004132.txt.gz | |
| PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 155 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004133/ScoringFiles/PGS004133.txt.gz | |
| PGS004135 (sbayesr.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 912,746 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004135/ScoringFiles/PGS004135.txt.gz | |
| PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 45,996 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004147/ScoringFiles/PGS004147.txt.gz | |
| PGS004148 (sbayesr.auto.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 671,211 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004148/ScoringFiles/PGS004148.txt.gz | |
| PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,102,205 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004151/ScoringFiles/PGS004151.txt.gz | |
| PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 62,645 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004162/ScoringFiles/PGS004162.txt.gz | |
| PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 778,275 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004163/ScoringFiles/PGS004163.txt.gz | |
| PGS004171 (t1d_1) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 520 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004171/ScoringFiles/PGS004171.txt.gz |
| PGS004172 (t1d_2) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 70 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004172/ScoringFiles/PGS004172.txt.gz |
| PGS004173 (t1d_3) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 295 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004173/ScoringFiles/PGS004173.txt.gz |
| PGS004174 (t1d_4) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 49 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004174/ScoringFiles/PGS004174.txt.gz |
| PGS004175 (t1d_5) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 315 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004175/ScoringFiles/PGS004175.txt.gz |
| PGS004253 (uc_ldpred2) |
PGP000545 | Middha P et al. Nat Commun (2024) |
Ulcerative colitis | ulcerative colitis | 744,575 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004253/ScoringFiles/PGS004253.txt.gz | |
| PGS004254 (cd_ldpred2) |
PGP000545 | Middha P et al. Nat Commun (2024) |
Crohn's disease | Crohn disease | 744,682 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004254/ScoringFiles/PGS004254.txt.gz | |
| PGS004255 (GenoBoost_rheumatoid_arthritis_0) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 30 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004255/ScoringFiles/PGS004255.txt.gz |
| PGS004256 (GenoBoost_rheumatoid_arthritis_1) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004256/ScoringFiles/PGS004256.txt.gz |
| PGS004257 (GenoBoost_rheumatoid_arthritis_2) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004257/ScoringFiles/PGS004257.txt.gz |
| PGS004258 (GenoBoost_rheumatoid_arthritis_3) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004258/ScoringFiles/PGS004258.txt.gz |
| PGS004259 (GenoBoost_rheumatoid_arthritis_4) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004259/ScoringFiles/PGS004259.txt.gz |
| PGS004260 (GenoBoost_psoriasis_0) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Psoriasis | psoriasis | 900 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004260/ScoringFiles/PGS004260.txt.gz |
| PGS004261 (GenoBoost_psoriasis_1) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Psoriasis | psoriasis | 800 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004261/ScoringFiles/PGS004261.txt.gz |
| PGS004262 (GenoBoost_psoriasis_2) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Psoriasis | psoriasis | 200 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004262/ScoringFiles/PGS004262.txt.gz |
| PGS004263 (GenoBoost_psoriasis_3) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Psoriasis | psoriasis | 800 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004263/ScoringFiles/PGS004263.txt.gz |
| PGS004264 (GenoBoost_psoriasis_4) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Psoriasis | psoriasis | 110 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004264/ScoringFiles/PGS004264.txt.gz |
| PGS004270 (GenoBoost_inflammatory_bowel_disease_0) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Inflammatory bowel disease | inflammatory bowel disease | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004270/ScoringFiles/PGS004270.txt.gz |
| PGS004271 (GenoBoost_inflammatory_bowel_disease_1) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Inflammatory bowel disease | inflammatory bowel disease | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004271/ScoringFiles/PGS004271.txt.gz |
| PGS004272 (GenoBoost_inflammatory_bowel_disease_2) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Inflammatory bowel disease | inflammatory bowel disease | 100 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004272/ScoringFiles/PGS004272.txt.gz |
| PGS004273 (GenoBoost_inflammatory_bowel_disease_3) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Inflammatory bowel disease | inflammatory bowel disease | 110 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004273/ScoringFiles/PGS004273.txt.gz |
| PGS004274 (GenoBoost_inflammatory_bowel_disease_4) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Inflammatory bowel disease | inflammatory bowel disease | 40 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004274/ScoringFiles/PGS004274.txt.gz |
| PGS004315 (GRS-ALL) |
PGP000547 | Bui A et al. Front Genet (2023) |
Psoriasis | psoriasis | 88 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004315/ScoringFiles/PGS004315.txt.gz |
| PGS004316 (GRS-HLA) |
PGP000547 | Bui A et al. Front Genet (2023) |
Psoriasis | psoriasis | 11 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004316/ScoringFiles/PGS004316.txt.gz |
| PGS004317 (GRS-noHLA) |
PGP000547 | Bui A et al. Front Genet (2023) |
Psoriasis | psoriasis | 77 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004317/ScoringFiles/PGS004317.txt.gz |
| PGS004326 (PRS154_RA) |
PGP000560 | Zhang J et al. Environ Health Perspect (2023) |
Rheumatoid arthritis | rheumatoid arthritis | 154 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004326/ScoringFiles/PGS004326.txt.gz |
| PGS004587 (PRS23_AD) |
PGP000566 | Gu X et al. Ecotoxicol Environ Saf (2023) |
Atopic dermatitis | atopic eczema | 23 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004587/ScoringFiles/PGS004587.txt.gz |
| PGS004699 (Non-HLA-GRS) |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Multiple sclerosis | multiple sclerosis | 307 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004699/ScoringFiles/PGS004699.txt.gz |
| PGS004700 (HLA-GRS) |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Multiple sclerosis | multiple sclerosis | 12 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004700/ScoringFiles/PGS004700.txt.gz |
| PGS004817 (RA_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Rheumatoid Arthritis | rheumatoid arthritis | 786,048 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004817/ScoringFiles/PGS004817.txt.gz |
| PGS004818 (RA_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Rheumatoid Arthritis | rheumatoid arthritis | 6,580,837 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004818/ScoringFiles/PGS004818.txt.gz |
| PGS004819 (RA_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Rheumatoid Arthritis | rheumatoid arthritis | 2,624,228 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004819/ScoringFiles/PGS004819.txt.gz |
| PGS004820 (RA_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Rheumatoid Arthritis | rheumatoid arthritis | 6,580,837 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004820/ScoringFiles/PGS004820.txt.gz |
| PGS004873 (INTERVENE_MegaPRS_RA) |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Rheumatoid arthritis | rheumatoid arthritis | 551,074 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004873/ScoringFiles/PGS004873.txt.gz | |
| PGS004874 (INTERVENE_MegaPRS_T1D) |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 56,916 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004874/ScoringFiles/PGS004874.txt.gz | |
| PGS004903 (PRS_ALL) |
PGP000633 | Al-Janabi A et al. J Allergy Clin Immunol (2023) |
Atopic dermatitis | atopic eczema | 38 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004903/ScoringFiles/PGS004903.txt.gz |
| PGS004917 (wGRS) |
PGP000648 | Cui J et al. Arthritis Rheumatol (2020) |
Systemic lupus erythematosus | systemic lupus erythematosus | 97 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004917/ScoringFiles/PGS004917.txt.gz |
| PGS004930 (celiac_disease_snpnet_combined) |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |
Celiac disease | celiac disease | 463 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004930/ScoringFiles/PGS004930.txt.gz |
| PGS005264 (graves_disease_mixed_pt) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Graves' disease | Graves disease | 112 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005264/ScoringFiles/PGS005264.txt.gz |
| PGS005265 (graves_disease_mixed_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Graves' disease | Graves disease | 1,085,173 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005265/ScoringFiles/PGS005265.txt.gz |
| PGS005266 (graves_disease_eur_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Graves' disease | Graves disease | 1,085,170 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005266/ScoringFiles/PGS005266.txt.gz |
| PGS005270 (lymphocytic_thyroiditis_mixed_pt) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Lymphocytic thyroiditis | Hashimoto thyroiditis | 55 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005270/ScoringFiles/PGS005270.txt.gz |
| PGS005271 (lymphocytic_thyroiditis_mixed_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Lymphocytic thyroiditis | Hashimoto thyroiditis | 1,085,156 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005271/ScoringFiles/PGS005271.txt.gz |
| PGS005272 (lymphocytic_thyroiditis_eur_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Lymphocytic thyroiditis | Hashimoto thyroiditis | 1,085,142 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005272/ScoringFiles/PGS005272.txt.gz |
| PGS005307 (GWS) |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Psoriasis | psoriasis | 64 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005307/ScoringFiles/PGS005307.txt.gz |
| PGS005308 (GWS-noHLA) |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Psoriasis | psoriasis | 64 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005308/ScoringFiles/PGS005308.txt.gz |
| PGS005309 (Full) |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Psoriasis | psoriasis | 513,461 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005309/ScoringFiles/PGS005309.txt.gz |
| PGS005310 (Full-noHLA) |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Psoriasis | psoriasis | 513,460 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005310/ScoringFiles/PGS005310.txt.gz |
| PGS005311 (Full_subset) |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Psoriasis | psoriasis | 487,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005311/ScoringFiles/PGS005311.txt.gz |
| PGS005312 (Full-noHLA_subset) |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Psoriasis | psoriasis | 487,310 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005312/ScoringFiles/PGS005312.txt.gz |
| PGS005398 (T1D_PRS_combined) |
PGP000781 | Qu HQ et al. Diabetes Res Clin Pract (2026) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 645,391 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005398/ScoringFiles/PGS005398.txt.gz |
| PGS005399 (T1D_PRS_male) |
PGP000781 | Qu HQ et al. Diabetes Res Clin Pract (2026) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 264,227 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005399/ScoringFiles/PGS005399.txt.gz |
| PGS005400 (T1D_PRS_female) |
PGP000781 | Qu HQ et al. Diabetes Res Clin Pract (2026) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 128,279 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005400/ScoringFiles/PGS005400.txt.gz |
| PGS012555 (TA-PS) |
PGP000798 | Jumentier B et al. Diabetologia (2026) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 1,116,345 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012555/ScoringFiles/PGS012555.txt.gz | |
| PGS018640 (TPMI_228_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Hemangioma and lymphangioma any site | lymphangioma, hemangioma |
488 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018640/ScoringFiles/PGS018640.txt.gz | |
| PGS018641 (TPMI_228_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Hemangioma and lymphangioma any site | lymphangioma, hemangioma |
939,901 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018641/ScoringFiles/PGS018641.txt.gz | |
| PGS018642 (TPMI_228_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Hemangioma and lymphangioma any site | lymphangioma, hemangioma |
34,069 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018642/ScoringFiles/PGS018642.txt.gz | |
| PGS018643 (TPMI_228_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Hemangioma and lymphangioma any site | lymphangioma, hemangioma |
983,831 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018643/ScoringFiles/PGS018643.txt.gz | |
| PGS018644 (TPMI_228_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Hemangioma and lymphangioma any site | lymphangioma, hemangioma |
1,011,189 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018644/ScoringFiles/PGS018644.txt.gz | |
| PGS018671 (TPMI_242.1_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Graves disease | Graves disease | 415 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018671/ScoringFiles/PGS018671.txt.gz | |
| PGS018672 (TPMI_242.1_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Graves disease | Graves disease | 220,843 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018672/ScoringFiles/PGS018672.txt.gz | |
| PGS018673 (TPMI_242.1_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Graves disease | Graves disease | 37,771 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018673/ScoringFiles/PGS018673.txt.gz | |
| PGS018674 (TPMI_242.1_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Graves disease | Graves disease | 983,772 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018674/ScoringFiles/PGS018674.txt.gz | |
| PGS018675 (TPMI_242.1_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Graves disease | Graves disease | 1,071,402 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018675/ScoringFiles/PGS018675.txt.gz | |
| PGS018676 (TPMI_242.1_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Graves disease | Graves disease | 975,251 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018676/ScoringFiles/PGS018676.txt.gz | |
| PGS018695 (TPMI_245.2_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic thyroiditis | Hashimoto thyroiditis | 171 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018695/ScoringFiles/PGS018695.txt.gz | |
| PGS018696 (TPMI_245.2_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic thyroiditis | Hashimoto thyroiditis | 939,816 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018696/ScoringFiles/PGS018696.txt.gz | |
| PGS018697 (TPMI_245.2_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic thyroiditis | Hashimoto thyroiditis | 392,668 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018697/ScoringFiles/PGS018697.txt.gz | |
| PGS018698 (TPMI_245.2_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic thyroiditis | Hashimoto thyroiditis | 983,771 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018698/ScoringFiles/PGS018698.txt.gz | |
| PGS018699 (TPMI_245.2_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic thyroiditis | Hashimoto thyroiditis | 1,071,404 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018699/ScoringFiles/PGS018699.txt.gz | |
| PGS018700 (TPMI_245.2_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic thyroiditis | Hashimoto thyroiditis | 979,446 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018700/ScoringFiles/PGS018700.txt.gz | |
| PGS018701 (TPMI_245.21_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic lymphocytic thyroiditis | Hashimoto thyroiditis | 190 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018701/ScoringFiles/PGS018701.txt.gz | |
| PGS018702 (TPMI_245.21_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic lymphocytic thyroiditis | Hashimoto thyroiditis | 318,664 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018702/ScoringFiles/PGS018702.txt.gz | |
| PGS018703 (TPMI_245.21_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic lymphocytic thyroiditis | Hashimoto thyroiditis | 394,827 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018703/ScoringFiles/PGS018703.txt.gz | |
| PGS018704 (TPMI_245.21_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic lymphocytic thyroiditis | Hashimoto thyroiditis | 983,771 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018704/ScoringFiles/PGS018704.txt.gz | |
| PGS018705 (TPMI_245.21_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic lymphocytic thyroiditis | Hashimoto thyroiditis | 1,071,405 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018705/ScoringFiles/PGS018705.txt.gz | |
| PGS018706 (TPMI_245.21_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic lymphocytic thyroiditis | Hashimoto thyroiditis | 1,005,256 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018706/ScoringFiles/PGS018706.txt.gz | |
| PGS019275 (TPMI_476_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Allergic rhinitis | allergic rhinitis | 243,320 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019275/ScoringFiles/PGS019275.txt.gz | |
| PGS019276 (TPMI_476_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Allergic rhinitis | allergic rhinitis | 939,881 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019276/ScoringFiles/PGS019276.txt.gz | |
| PGS019277 (TPMI_476_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Allergic rhinitis | allergic rhinitis | 17,340 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019277/ScoringFiles/PGS019277.txt.gz | |
| PGS019278 (TPMI_476_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Allergic rhinitis | allergic rhinitis | 983,820 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019278/ScoringFiles/PGS019278.txt.gz | |
| PGS019279 (TPMI_476_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Allergic rhinitis | allergic rhinitis | 950,545 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019279/ScoringFiles/PGS019279.txt.gz | |
| PGS019593 (TPMI_695.4_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Lupus localized and systemic | systemic lupus erythematosus | 4,048 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019593/ScoringFiles/PGS019593.txt.gz | |
| PGS019594 (TPMI_695.4_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Lupus localized and systemic | systemic lupus erythematosus | 939,805 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019594/ScoringFiles/PGS019594.txt.gz | |
| PGS019595 (TPMI_695.4_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Lupus localized and systemic | systemic lupus erythematosus | 351,328 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019595/ScoringFiles/PGS019595.txt.gz | |
| PGS019596 (TPMI_695.4_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Lupus localized and systemic | systemic lupus erythematosus | 983,762 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019596/ScoringFiles/PGS019596.txt.gz | |
| PGS019597 (TPMI_695.4_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Lupus localized and systemic | systemic lupus erythematosus | 1,071,408 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019597/ScoringFiles/PGS019597.txt.gz | |
| PGS019598 (TPMI_695.4_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Lupus localized and systemic | systemic lupus erythematosus | 93,337 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019598/ScoringFiles/PGS019598.txt.gz | |
| PGS019599 (TPMI_695.42_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Systemic lupus erythematosus | systemic lupus erythematosus | 3,935 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019599/ScoringFiles/PGS019599.txt.gz | |
| PGS019600 (TPMI_695.42_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Systemic lupus erythematosus | systemic lupus erythematosus | 939,805 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019600/ScoringFiles/PGS019600.txt.gz | |
| PGS019601 (TPMI_695.42_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Systemic lupus erythematosus | systemic lupus erythematosus | 366,324 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019601/ScoringFiles/PGS019601.txt.gz | |
| PGS019602 (TPMI_695.42_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Systemic lupus erythematosus | systemic lupus erythematosus | 983,763 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019602/ScoringFiles/PGS019602.txt.gz | |
| PGS019603 (TPMI_695.42_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Systemic lupus erythematosus | systemic lupus erythematosus | 1,071,406 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019603/ScoringFiles/PGS019603.txt.gz | |
| PGS019604 (TPMI_695.42_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Systemic lupus erythematosus | systemic lupus erythematosus | 93,987 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019604/ScoringFiles/PGS019604.txt.gz | |
| PGS019605 (TPMI_696_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriasis and related disorders | psoriasis | 1,676 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019605/ScoringFiles/PGS019605.txt.gz | |
| PGS019606 (TPMI_696_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriasis and related disorders | psoriasis | 334,427 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019606/ScoringFiles/PGS019606.txt.gz | |
| PGS019607 (TPMI_696_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriasis and related disorders | psoriasis | 49,060 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019607/ScoringFiles/PGS019607.txt.gz | |
| PGS019608 (TPMI_696_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriasis and related disorders | psoriasis | 983,757 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019608/ScoringFiles/PGS019608.txt.gz | |
| PGS019609 (TPMI_696_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriasis and related disorders | psoriasis | 1,070,900 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019609/ScoringFiles/PGS019609.txt.gz | |
| PGS019610 (TPMI_696_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriasis and related disorders | psoriasis | 68,664 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019610/ScoringFiles/PGS019610.txt.gz | |
| PGS019611 (TPMI_696.4_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriasis | psoriasis | 1,717 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019611/ScoringFiles/PGS019611.txt.gz | |
| PGS019612 (TPMI_696.4_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriasis | psoriasis | 939,806 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019612/ScoringFiles/PGS019612.txt.gz | |
| PGS019613 (TPMI_696.4_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriasis | psoriasis | 49,115 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019613/ScoringFiles/PGS019613.txt.gz | |
| PGS019614 (TPMI_696.4_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriasis | psoriasis | 983,757 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019614/ScoringFiles/PGS019614.txt.gz | |
| PGS019615 (TPMI_696.4_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriasis | psoriasis | 1,071,406 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019615/ScoringFiles/PGS019615.txt.gz | |
| PGS019616 (TPMI_696.4_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriasis | psoriasis | 61,542 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019616/ScoringFiles/PGS019616.txt.gz | |
| PGS019617 (TPMI_696.41_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriasis vulgaris | psoriasis vulgaris | 1,357 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019617/ScoringFiles/PGS019617.txt.gz | |
| PGS019618 (TPMI_696.41_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriasis vulgaris | psoriasis vulgaris | 330,044 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019618/ScoringFiles/PGS019618.txt.gz | |
| PGS019619 (TPMI_696.41_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriasis vulgaris | psoriasis vulgaris | 49,531 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019619/ScoringFiles/PGS019619.txt.gz | |
| PGS019620 (TPMI_696.41_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriasis vulgaris | psoriasis vulgaris | 983,756 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019620/ScoringFiles/PGS019620.txt.gz | |
| PGS019621 (TPMI_696.41_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriasis vulgaris | psoriasis vulgaris | 1,071,390 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019621/ScoringFiles/PGS019621.txt.gz | |
| PGS019622 (TPMI_696.41_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriasis vulgaris | psoriasis vulgaris | 59,819 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019622/ScoringFiles/PGS019622.txt.gz | |
| PGS019623 (TPMI_696.42_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriatic arthropathy | psoriatic arthritis | 1,224 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019623/ScoringFiles/PGS019623.txt.gz | |
| PGS019624 (TPMI_696.42_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriatic arthropathy | psoriatic arthritis | 939,799 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019624/ScoringFiles/PGS019624.txt.gz | |
| PGS019625 (TPMI_696.42_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriatic arthropathy | psoriatic arthritis | 37,037 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019625/ScoringFiles/PGS019625.txt.gz | |
| PGS019626 (TPMI_696.42_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriatic arthropathy | psoriatic arthritis | 983,751 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019626/ScoringFiles/PGS019626.txt.gz | |
| PGS019627 (TPMI_696.42_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriatic arthropathy | psoriatic arthritis | 1,071,405 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019627/ScoringFiles/PGS019627.txt.gz | |
| PGS019628 (TPMI_696.42_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Psoriatic arthropathy | psoriatic arthritis | 996,498 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019628/ScoringFiles/PGS019628.txt.gz | |
| PGS019645 (TPMI_709.2_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Sicca syndrome | Sjogren syndrome | 1,224 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019645/ScoringFiles/PGS019645.txt.gz | |
| PGS019646 (TPMI_709.2_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Sicca syndrome | Sjogren syndrome | 939,810 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019646/ScoringFiles/PGS019646.txt.gz | |
| PGS019647 (TPMI_709.2_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Sicca syndrome | Sjogren syndrome | 49,185 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019647/ScoringFiles/PGS019647.txt.gz | |
| PGS019648 (TPMI_709.2_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Sicca syndrome | Sjogren syndrome | 983,765 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019648/ScoringFiles/PGS019648.txt.gz | |
| PGS019649 (TPMI_709.2_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Sicca syndrome | Sjogren syndrome | 1,071,405 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019649/ScoringFiles/PGS019649.txt.gz | |
| PGS019650 (TPMI_709.2_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Sicca syndrome | Sjogren syndrome | 202,225 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019650/ScoringFiles/PGS019650.txt.gz | |
| PGS019656 (TPMI_714_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis and other inflammatory polyarthropathies | rheumatoid arthritis | 1,304 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019656/ScoringFiles/PGS019656.txt.gz | |
| PGS019657 (TPMI_714_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis and other inflammatory polyarthropathies | rheumatoid arthritis | 939,829 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019657/ScoringFiles/PGS019657.txt.gz | |
| PGS019658 (TPMI_714_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis and other inflammatory polyarthropathies | rheumatoid arthritis | 28,836 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019658/ScoringFiles/PGS019658.txt.gz | |
| PGS019659 (TPMI_714_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis and other inflammatory polyarthropathies | rheumatoid arthritis | 983,784 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019659/ScoringFiles/PGS019659.txt.gz | |
| PGS019660 (TPMI_714_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis and other inflammatory polyarthropathies | rheumatoid arthritis | 554,495 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019660/ScoringFiles/PGS019660.txt.gz | |
| PGS019661 (TPMI_714.1_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis | rheumatoid arthritis | 2,493 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019661/ScoringFiles/PGS019661.txt.gz | |
| PGS019662 (TPMI_714.1_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis | rheumatoid arthritis | 939,827 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019662/ScoringFiles/PGS019662.txt.gz | |
| PGS019663 (TPMI_714.1_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis | rheumatoid arthritis | 33,790 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019663/ScoringFiles/PGS019663.txt.gz | |
| PGS019664 (TPMI_714.1_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis | rheumatoid arthritis | 983,784 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019664/ScoringFiles/PGS019664.txt.gz | |
| PGS019665 (TPMI_714.1_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Rheumatoid arthritis | rheumatoid arthritis | 913,921 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019665/ScoringFiles/PGS019665.txt.gz | |
| PGS019671 (TPMI_715.2_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Ankylosing spondylitis | ankylosing spondylitis | 20 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019671/ScoringFiles/PGS019671.txt.gz | |
| PGS019672 (TPMI_715.2_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Ankylosing spondylitis | ankylosing spondylitis | 939,888 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019672/ScoringFiles/PGS019672.txt.gz | |
| PGS019673 (TPMI_715.2_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Ankylosing spondylitis | ankylosing spondylitis | 292,554 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019673/ScoringFiles/PGS019673.txt.gz | |
| PGS019674 (TPMI_715.2_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Ankylosing spondylitis | ankylosing spondylitis | 983,830 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019674/ScoringFiles/PGS019674.txt.gz | |
| PGS019675 (TPMI_715.2_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Ankylosing spondylitis | ankylosing spondylitis | 1,071,343 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019675/ScoringFiles/PGS019675.txt.gz | |
| PGS019676 (TPMI_715.2_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Ankylosing spondylitis | ankylosing spondylitis | 940,059 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019676/ScoringFiles/PGS019676.txt.gz |
|
PGS Performance Metric ID (PPM) |
Evaluated Score |
PGS Sample Set ID (PSS) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
Classification Metrics | Other Metrics | Covariates Included in the Model |
PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|---|
| PPM000578 | PGS000195 (G-PROB_Raneg) |
PSS000315| European Ancestry| 243 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.69 [0.63, 0.76] | — | G-PROB_Rapos | (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit) |
| PPM000577 | PGS000194 (G-PROB_Rapos) |
PSS000315| European Ancestry| 243 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.69 [0.63, 0.76] | — | RAN_Gprob | (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit) |
| PPM000581 | PGS000198 (G-PROB_PsA) |
PSS000313| European Ancestry| 243 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Psoriatic arthritis diagnosis in patient with arthritis | — | AUROC: 0.62 [0.48, 0.8] | — | — | (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit) |
| PPM000580 | PGS000197 (G-PROB_SpA) |
PSS000317| European Ancestry| 243 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Spondyloarthropathy diagnosis in patient with arthritis | — | AUROC: 0.56 [0.33, 0.84] | — | — | (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit) |
| PPM000579 | PGS000196 (G-PROB_SLE) |
PSS000319| European Ancestry| 243 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Systemic lupus erythematosus diagnosis in patient with arthritis | — | AUROC: 0.61 [0.27, 0.86] | — | — | (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit) |
| PPM000572 | PGS000195 (G-PROB_Raneg) |
PSS000314| European Ancestry| 245 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.75 [0.68, 0.81] | — | G-PROB_Rapos | (Setting II: Assigning patient diagnoses based on medical records) |
| PPM000571 | PGS000194 (G-PROB_Rapos) |
PSS000314| European Ancestry| 245 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.75 [0.68, 0.81] | — | G-PROB_Raneg | (Setting II: Assigning patient diagnoses based on medical records) |
| PPM002081 | PGS000800 (GRSw_SHARE) |
PSS001029| European Ancestry| 1,858 individuals |
PGP000189 | Dijk FN et al. J Allergy Clin Immunol (2019) |
Reported Trait: Asthma ever, at age 8 years | OR: 1.72 [1.21, 2.44] | — | — | — | — |
| 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] | — | — |
| PPM002083 | PGS000800 (GRSw_SHARE) |
PSS001028| European Ancestry| 427 individuals |
PGP000189 | Dijk FN et al. J Allergy Clin Immunol (2019) |
Reported Trait: Asthma ever, at age 8 years | OR: 4.75 | — | — | — | — |
| PPM001761 | PGS000738 (CONFIRMED_PGS) |
PSS000907| European Ancestry| 4,008 individuals |
PGP000145 | Roberts GHL et al. Am J Hum Genet (2019) |
Reported Trait: Vitiligo | — | — | Odds Ratio (OR, top 20% vs remaining 80% of score distribution): 4.87 [4.21, 5.64] | — | — |
| PPM000093 | PGS000040 (GRS_CeD) |
PSS000059| European Ancestry| 2,476 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.9 | — | — | — |
| PPM000094 | PGS000040 (GRS_CeD) |
PSS000061| European Ancestry| 1,040 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.87 | — | — | — |
| PPM000095 | PGS000040 (GRS_CeD) |
PSS000062| European Ancestry| 1,649 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.86 | — | — | — |
| PPM000096 | PGS000040 (GRS_CeD) |
PSS000063| European Ancestry| 2,200 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.87 | — | — | — |
| PPM000097 | PGS000040 (GRS_CeD) |
PSS000060| European Ancestry| 10,304 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.87 | — | — | — |
| PPM000098 | PGS000040 (GRS_CeD) |
PSS000064| European Ancestry| 1,696 individuals |
PGP000029 | Abraham G et al. Genome Med (2015) |Ext. |
Reported Trait: Coeliac disease | — | AUROC: 0.831 [0.808, 0.85] | — | — | — |
| PPM000099 | PGS000040 (GRS_CeD) |
PSS000065| European Ancestry| 1,237 individuals |
PGP000029 | Abraham G et al. Genome Med (2015) |Ext. |
Reported Trait: Coeliac disease in HLA-DQ2.5 carriers | — | AUROC: 0.669 [0.625, 0.713] | — | — | — |
| PPM000100 | PGS000041 (GRS-DQ2.5-CeD) |
PSS000065| European Ancestry| 1,237 individuals |
PGP000029 | Abraham G et al. Genome Med (2015) |
Reported Trait: Coeliac disease in HLA-DQ2.5 carriers | — | AUROC: 0.718 [0.676, 0.761] | — | — | — |
| PPM000101 | PGS000042 (GRS-DQ2.5-CeD-imputed) |
PSS000065| European Ancestry| 1,237 individuals |
PGP000029 | Abraham G et al. Genome Med (2015) |
Reported Trait: Coeliac disease in HLA-DQ2.5 carriers | — | AUROC: 0.73 [0.687, 0.772] | — | — | — |
| PPM000132 | PGS000021 (GRS1) |
PSS000083| European Ancestry| 2,768 individuals |
PGP000038 | Patel KA et al. Diabetes (2016) |Ext. |
Reported Trait: Type 1 diabetes aetiology (non-monogenic) | — | AUROC: 0.87 [0.86, 0.89] | — | — | Testing the ability of the GRS to discriminate between two sets of cases: - Positive: individuals with type 1 diabetes - Negative: individuals with diabetes and a maturity-onset diabetes of young (MODY) mutation |
| PPM000042 | PGS000022 (T1D_GRS) |
PSS000029| European Ancestry| 1,447 individuals |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.8508 | — | — | AUROCs are reported with respect to unrelated-control samples |
| PPM000043 | PGS000022 (T1D_GRS) |
PSS000028| Hispanic or Latin American Ancestry| 252 individuals |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.9003 | — | — | AUROCs are reported with respect to unrelated-control samples |
| PPM000044 | PGS000022 (T1D_GRS) |
PSS000027| African Ancestry| 299 individuals |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.7522 | — | — | AUROCs are reported with respect to unrelated-control samples |
| PPM000045 | PGS000023 (AA_GRS) |
PSS000030| African Ancestry| 3,949 individuals |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.87 | — | — | NOTE: Evaluated using cross-validation on training samples (20% heldout, 1000 iterations) |
| PPM001762 | PGS000738 (CONFIRMED_PGS) |
PSS000907| European Ancestry| 4,008 individuals |
PGP000145 | Roberts GHL et al. Am J Hum Genet (2019) |
Reported Trait: Vitiligo | — | — | Odds Ratio (OR, top 10% vs remaining 90% of score distribution): 5.26 [4.42, 6.29] | — | — |
| 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 | — |
| PPM000041 | PGS000021 (GRS1) |
PSS000026| European Ancestry| 223 individuals |
PGP000011 | Oram RA et al. Diabetes Care (2015) |
Reported Trait: Severe insulin deficiency | — | AUROC: 0.96 [0.94, 0.99] | AUROC (without covariates): 0.87 | islet auto-antibody status, body mass index (BMI), age at diagnosis | — |
| PPM000046 | PGS000021 (GRS1) |
PSS000030| African Ancestry| 3,949 individuals |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.798 | — | — | — |
| PPM000047 | PGS000023 (AA_GRS) |
PSS000031| African Ancestry| 145 individuals |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.779 | — | — | — |
| PPM000048 | PGS000024 (GRS2) |
PSS000032| European Ancestry| 374,000 individuals |
PGP000014 | Sharp SA et al. Diabetes Care (2019) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.921 | Youden index: 0.698 | — | — |
| PPM000049 | PGS000021 (GRS1) |
PSS000032| European Ancestry| 374,000 individuals |
PGP000014 | Sharp SA et al. Diabetes Care (2019) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.893 | — | — | — |
| PPM000970 | PGS000341 (GRS33_SSc) |
PSS000489| European Ancestry| 339 individuals |
PGP000110 | Bossini-Castillo L et al. Ann Rheum Dis (2020) |
Reported Trait: Systemic sclerosis | — | AUROC: 0.787 [0.73, 0.84] | — | Systemic sclerosis status, age and immune cell counts of: memory B cells, resting NK cells, M0 macrophages and activated dendritic cells | *Some overlap with score development and testing samples |
| PPM000969 | PGS000341 (GRS33_SSc) |
PSS000489| European Ancestry| 339 individuals |
PGP000110 | Bossini-Castillo L et al. Ann Rheum Dis (2020) |
Reported Trait: Systemic sclerosis | — | AUROC: 0.722 | — | Systemic sclerosis status and immune cell counts of: memory B cells, resting NK cells, M0 macrophages and activated dendritic cells | *Some overlap with score development and testing samples |
| PPM000968 | PGS000341 (GRS33_SSc) |
PSS000489| European Ancestry| 339 individuals |
PGP000110 | Bossini-Castillo L et al. Ann Rheum Dis (2020) |
Reported Trait: Systemic sclerosis | — | AUROC: 0.644 | — | — | *Some overlap with score development and testing samples |
| PPM000972 | PGS000343 (wGRS_PsA_HLA) |
PSS000490| Ancestry Not Reported| 543 individuals |
PGP000111 | Smith MP et al. J Psoriasis Psoriatic Arthritis (2020) |
Reported Trait: Psoriatic arthritis | — | AUROC: 0.569 [0.513, 0.625] | — | — | — |
| PPM000971 | PGS000342 (wGRS_PsA) |
PSS000490| Ancestry Not Reported| 543 individuals |
PGP000111 | Smith MP et al. J Psoriasis Psoriatic Arthritis (2020) |
Reported Trait: Psoriatic arthritis | — | AUROC: 0.562 [0.506, 0.618] | — | — | — |
| PPM001333 | PGS000648 (PRSWEB_PHECODE204.12_GWAS-Catalog-r2019-05-03-X204.12_PT_MGI_20200608) |
PSS000561| European Ancestry| 756 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Lymphoid leukemia, chronic | OR: 2.124 [1.648, 2.738] β: 0.753 (0.13) |
AUROC: 0.696 [0.621, 0.764] | Nagelkerke's Pseudo-R²: 0.102 Brier score: 0.0776 Odds Ratio (OR, top 1% vs. Rest): 12.9 [4.45, 37.6] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE204.12_GWAS-Catalog-r2019-05-03-X204.12_PT_MGI_20200608 |
| PPM001336 | PGS000651 (PRSWEB_PHECODE204.12_UKBB-SAIGE-HRC-X204.12_LASSOSUM_MGI_20200608) |
PSS000561| European Ancestry| 756 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Lymphoid leukemia, chronic | OR: 1.32 [1.041, 1.675] β: 0.278 (0.121) |
AUROC: 0.573 [0.503, 0.644] | Nagelkerke's Pseudo-R²: 0.0145 Brier score: 0.0823 Odds Ratio (OR, top 1% vs. Rest): 4.84 [1.23, 19.0] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE204.12_UKBB-SAIGE-HRC-X204.12_LASSOSUM_MGI_20200608 |
| PPM001339 | PGS000654 (PRSWEB_PHECODE204.4_GWAS-Catalog-r2019-05-03-X204.4_PT_UKB_20200608) |
PSS000582| European Ancestry| 2,738 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Multiple myeloma | OR: 1.316 [1.156, 1.499] β: 0.275 (0.0662) |
AUROC: 0.576 [0.536, 0.616] | Nagelkerke's Pseudo-R²: 0.0137 Brier score: 0.0818 Odds Ratio (OR, top 1% vs. Rest): 2.2 [0.854, 5.66] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE204.4_GWAS-Catalog-r2019-05-03-X204.4_PT_UKB_20200608 |
| PPM001337 | PGS000652 (PRSWEB_PHECODE204.4_C90_PT_MGI_20200608) |
PSS000563| European Ancestry| 908 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Multiple myeloma | OR: 1.24 [1.005, 1.529] β: 0.215 (0.107) |
AUROC: 0.547 [0.479, 0.613] | Nagelkerke's Pseudo-R²: 0.00945 Brier score: 0.0823 Odds Ratio (OR, top 1% vs. Rest): 2.6 [0.593, 11.4] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE204.4_C90_PT_MGI_20200608 |
| PPM001328 | PGS000643 (PRSWEB_PHECODE202.21_C-FOLLICULAR-LYMPHOMA_PRS-CS_MGI_20200608) |
PSS000560| European Ancestry| 3,256 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Nodular lymphoma | OR: 1.133 [1.005, 1.277] β: 0.125 (0.061) |
AUROC: 0.532 [0.497, 0.568] | Nagelkerke's Pseudo-R²: 0.00282 Brier score: 0.0825 Odds Ratio (OR, top 1% vs. Rest): 2.49 [1.1, 5.65] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE202.21_C-FOLLICULAR-LYMPHOMA_PRS-CS_MGI_20200608 |
| PPM001329 | PGS000644 (PRSWEB_PHECODE202.21_C-FOLLICULAR-LYMPHOMA_LASSOSUM_MGI_20200608) |
PSS000560| European Ancestry| 3,256 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Nodular lymphoma | OR: 1.149 [1.021, 1.294] β: 0.139 (0.0606) |
AUROC: 0.538 [0.504, 0.573] | Nagelkerke's Pseudo-R²: 0.00349 Brier score: 0.0825 Odds Ratio (OR, top 1% vs. Rest): 1.48 [0.538, 4.05] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE202.21_C-FOLLICULAR-LYMPHOMA_LASSOSUM_MGI_20200608 |
| PPM001331 | PGS000646 (PRSWEB_PHECODE204.12_GWAS-Catalog-r2019-05-03-X204.12_P_5e-08_MGI_20200608) |
PSS000561| European Ancestry| 756 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Lymphoid leukemia, chronic | OR: 2.104 [1.628, 2.718] β: 0.744 (0.131) |
AUROC: 0.696 [0.628, 0.765] | Nagelkerke's Pseudo-R²: 0.0973 Brier score: 0.0779 Odds Ratio (OR, top 1% vs. Rest): 11.3 [3.76, 33.9] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE204.12_GWAS-Catalog-r2019-05-03-X204.12_P_5e-08_MGI_20200608 |
| PPM001332 | PGS000647 (PRSWEB_PHECODE204.12_GWAS-Catalog-r2019-05-03-X204.12_P_5e-08_UKB_20200608) |
PSS000581| European Ancestry| 2,758 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Lymphoid leukemia, chronic | OR: 1.874 [1.639, 2.144] β: 0.628 (0.0685) |
AUROC: 0.675 [0.64, 0.707] | Nagelkerke's Pseudo-R²: 0.0689 Brier score: 0.0795 Odds Ratio (OR, top 1% vs. Rest): 4.11 [1.97, 8.6] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE204.12_GWAS-Catalog-r2019-05-03-X204.12_P_5e-08_UKB_20200608 |
| PPM001334 | PGS000649 (PRSWEB_PHECODE204.12_GWAS-Catalog-r2019-05-03-X204.12_PT_UKB_20200608) |
PSS000581| European Ancestry| 2,758 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Lymphoid leukemia, chronic | OR: 1.85 [1.619, 2.114] β: 0.615 (0.0681) |
AUROC: 0.672 [0.637, 0.703] | Nagelkerke's Pseudo-R²: 0.0665 Brier score: 0.0796 Odds Ratio (OR, top 1% vs. Rest): 2.52 [1.04, 6.08] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE204.12_GWAS-Catalog-r2019-05-03-X204.12_PT_UKB_20200608 |
| PPM001335 | PGS000650 (PRSWEB_PHECODE204.12_UKBB-SAIGE-HRC-X204.12_PT_MGI_20200608) |
PSS000561| European Ancestry| 756 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Lymphoid leukemia, chronic | OR: 1.368 [1.097, 1.705] β: 0.313 (0.113) |
AUROC: 0.577 [0.511, 0.645] | Nagelkerke's Pseudo-R²: 0.0205 Brier score: 0.0822 Odds Ratio (OR, top 1% vs. Rest): 2.0 [0.308, 13.0] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE204.12_UKBB-SAIGE-HRC-X204.12_PT_MGI_20200608 |
| PPM001338 | PGS000653 (PRSWEB_PHECODE204.4_GWAS-Catalog-r2019-05-03-X204.4_P_5e-08_UKB_20200608) |
PSS000582| European Ancestry| 2,738 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Multiple myeloma | OR: 1.327 [1.165, 1.511] β: 0.283 (0.0663) |
AUROC: 0.577 [0.537, 0.617] | Nagelkerke's Pseudo-R²: 0.0145 Brier score: 0.0818 Odds Ratio (OR, top 1% vs. Rest): 2.2 [0.855, 5.66] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE204.4_GWAS-Catalog-r2019-05-03-X204.4_P_5e-08_UKB_20200608 |
| PPM000753 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (5 years horizon time; landmark age 2 years) | — | AUROC: 0.93 | — | autoantibodies, family history | — |
| PPM000754 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (8 years horizon time; landmark age 2 years) | — | AUROC: 0.87 | — | autoantibodies, family history | — |
| PPM000755 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (5 years horizon time; landmark age 4 years) | — | AUROC: 0.96 | — | autoantibodies, family history | — |
| PPM000751 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (1 year horizon time; landmark age 2 years) | — | AUROC: 0.96 | — | autoantibodies, family history | — |
| PPM002243 | PGS000833 (T1D) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.39 [1.25, 1.54] | — | — | PC1-10 | — |
| PPM001763 | PGS000738 (CONFIRMED_PGS) |
PSS000907| European Ancestry| 4,008 individuals |
PGP000145 | Roberts GHL et al. Am J Hum Genet (2019) |
Reported Trait: Vitiligo | — | — | Odds Ratio (OR, top 10% vs remaining 95% of score distribution): 6.2 [4.96, 7.79] | — | — |
| PPM001764 | PGS000738 (CONFIRMED_PGS) |
PSS000907| European Ancestry| 4,008 individuals |
PGP000145 | Roberts GHL et al. Am J Hum Genet (2019) |
Reported Trait: Vitiligo | — | — | Odds Ratio (OR, top 1% vs remaining 99% of score distribution): 8.79 [5.85, 13.78] | — | — |
| PPM000752 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (3 years horizon time; landmark age 2 years) | — | AUROC: 0.94 | — | autoantibodies, family history | — |
| PPM000805 | PGS000316 (GRS42_Coeliac) |
PSS000381| Ancestry Not Reported| 154 individuals |
PGP000093 | Sharp SA et al. Aliment Pharmacol Ther (2020) |
Reported Trait: Coeliac disease | — | AUROC: 0.835 [0.76, 0.911] | — | — | — |
| PPM000883 | PGS000328 (GRS_SLE) |
PSS000436| European Ancestry| 3,803 individuals |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Reported Trait: Systemic Lupus damage score (SDI) | OR: 1.13 [1.03, 1.24] | — | Odds Ratio (OR; highest vs. lowest quartile): 1.47 [1.06, 2.04] | — | — |
| PPM000881 | PGS000328 (GRS_SLE) |
PSS000437| European Ancestry| 1,001 individuals |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Reported Trait: Systemic lupus erythematosus (onset before age 20) | — | AUROC: 0.83 | — | — | — |
| PPM000804 | PGS000316 (GRS42_Coeliac) |
PSS000382| European Ancestry| 379,767 individuals |
PGP000093 | Sharp SA et al. Aliment Pharmacol Ther (2020) |
Reported Trait: Coeliac disease | — | AUROC: 0.879 [0.87, 0.888] | — | — | — |
| PPM000885 | PGS000328 (GRS_SLE) |
PSS000437| European Ancestry| 1,001 individuals |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Reported Trait: Nephritis in systemic lupus erythematosus patients | — | — | Hazard Ratio (HR; highest vs. lowest quartile): 2.53 [1.72, 3.71] | — | — |
| PPM000750 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (by age 8; landmark age 2 years) | — | AUROC: 0.73 [0.7, 0.77] | — | — | — |
| PPM000884 | PGS000328 (GRS_SLE) |
PSS000436| European Ancestry| 3,803 individuals |
PGP000099 | Reid S et al. Ann Rheum Dis (2019) |
Reported Trait: Systemic lupus erythematosus (age-at-onset) | — | — | Hazard Ratio (HR; highest vs. lowest quartile): 1.47 [1.22, 1.75] | — | — |
| PPM002100 | PGS000803 (wGRS41_SLE) |
PSS001038| European Ancestry| 47,904 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Lupus (localised and systemic) | OR: 1.73 [1.62, 1.85] β: 0.546 (0.034) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002101 | PGS000803 (wGRS41_SLE) |
PSS001043| European Ancestry| 18,722 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Lupus (localised and systemic) | OR: 1.82 [1.66, 2.0] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002102 | PGS000803 (wGRS41_SLE) |
PSS001035| European Ancestry| 47,917 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Systemic lupus erythematosus | OR: 1.71 [1.6, 1.82] β: 0.534 (0.034) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002103 | PGS000803 (wGRS41_SLE) |
PSS001040| European Ancestry| 18,698 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Systemic lupus erythematosus | OR: 1.86 [1.69, 2.04] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002104 | PGS000803 (wGRS41_SLE) |
PSS001037| European Ancestry| 50,429 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Erythematous conditions | OR: 1.28 [1.22, 1.34] β: 0.246 (0.024) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002105 | PGS000803 (wGRS41_SLE) |
PSS001042| European Ancestry| 21,474 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Erythematous conditions | OR: 1.08 [1.04, 1.13] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002106 | PGS000803 (wGRS41_SLE) |
PSS001034| European Ancestry| 47,321 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Cutaneous lupus erythematosus | OR: 1.79 [1.54, 2.08] β: 0.582 (0.078) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002107 | PGS000803 (wGRS41_SLE) |
PSS001039| European Ancestry| 18,422 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Cutaneous lupus erythematosus | OR: 2.02 [1.71, 2.4] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002108 | PGS000803 (wGRS41_SLE) |
PSS001036| European Ancestry| 40,528 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes | OR: 1.11 [1.06, 1.17] β: 0.108 (0.024) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002109 | PGS000803 (wGRS41_SLE) |
PSS001041| European Ancestry| 19,191 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes | OR: 1.11 [1.05, 1.18] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002110 | PGS000803 (wGRS41_SLE) |
PSS001036| European Ancestry| 40,528 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes with renal manifestations | OR: 1.41 [1.26, 1.59] β: 0.346 (0.06) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002111 | PGS000803 (wGRS41_SLE) |
PSS001041| European Ancestry| 19,191 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes with renal manifestations | OR: 1.38 [1.19, 1.6] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002112 | PGS000803 (wGRS41_SLE) |
PSS001036| European Ancestry| 40,528 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes with opthalmic manifestations | OR: 1.32 [1.16, 1.5] β: 0.275 (0.065) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002113 | PGS000803 (wGRS41_SLE) |
PSS001041| European Ancestry| 19,191 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes with opthalmic manifestations | OR: 1.34 [1.18, 1.52] | — | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM002114 | PGS000803 (wGRS41_SLE) |
PSS001036| European Ancestry| 40,528 individuals |
PGP000192 | Kawai VK et al. Lupus (2021) |
Reported Trait: Type 1 diabetes with neurological manifestations | OR: 1.16 [1.06, 1.28] β: 0.151 (0.047) |
— | — | PCs(1-5), median age in the electronic health record, sex | — |
| PPM000566 | PGS000195 (G-PROB_Raneg) |
PSS000322| Multi-ancestry (including European)| 1,211 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.69 [0.65, 0.72] | — | G-PROB_Rapos | (Setting I: Assigning patient diagnoses based on billing codes) |
| PPM000565 | PGS000194 (G-PROB_Rapos) |
PSS000322| Multi-ancestry (including European)| 1,211 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Rheumatoid arhtirits diagnosis in patient with arthritis | — | AUROC: 0.69 [0.65, 0.72] | — | G-PROB_Raneg | (Setting I: Assigning patient diagnoses based on billing codes) |
| PPM000575 | PGS000198 (G-PROB_PsA) |
PSS000312| European Ancestry| 245 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Psoriatic arthritis diagnosis in patient with arthritis | — | AUROC: 0.71 [0.63, 0.82] | — | — | (Setting II: Assigning patient diagnoses based on medical records) |
| PPM000574 | PGS000197 (G-PROB_SpA) |
PSS000316| European Ancestry| 245 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Spondyloarthropathy diagnosis in patient with arthritis | — | AUROC: 0.87 [0.76, 0.96] | — | — | (Setting II: Assigning patient diagnoses based on medical records) |
| PPM000573 | PGS000196 (G-PROB_SLE) |
PSS000318| European Ancestry| 245 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Systemic lupus erythematosus diagnosis in patient with arthritis | — | AUROC: 0.79 [0.72, 0.85] | — | — | (Setting II: Assigning patient diagnoses based on medical records) |
| PPM000569 | PGS000198 (G-PROB_PsA) |
PSS000321| Multi-ancestry (including European)| 1,211 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Psoriatic arthritis diagnosis in patient with arthritis | — | AUROC: 0.61 [0.52, 0.69] | — | — | (Setting I: Assigning patient diagnoses based on billing codes) |
| PPM000568 | PGS000197 (G-PROB_SpA) |
PSS000323| Multi-ancestry (including European)| 1,211 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Spondyloarthropathy diagnosis in patient with arthritis | — | AUROC: 0.58 [0.5, 0.67] | — | — | (Setting I: Assigning patient diagnoses based on billing codes) |
| 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) |
| PPM002082 | PGS000800 (GRSw_SHARE) |
PSS001029| European Ancestry| 1,858 individuals |
PGP000189 | Dijk FN et al. J Allergy Clin Immunol (2019) |
Reported Trait: Asthma ever, at age 8 years | — | AUROC: 0.65 | — | Familial risk score (factors: parental allergy, parental allergy to pets, parental inhaled medication, low parental education) , environmental risk score (factors: pets at home during pregnancy, smoking mother during pregnancy, older siblings living at home), perinatal risk score (factors: sex, low birth weight < 2500 g) | — |
| PPM002084 | PGS000800 (GRSw_SHARE) |
PSS001028| European Ancestry| 427 individuals |
PGP000189 | Dijk FN et al. J Allergy Clin Immunol (2019) |
Reported Trait: Asthma ever, at age 8 years | — | AUROC: 0.7 | — | Familial risk score (factors: parental allergy, parental allergy to pets, parental inhaled medication, low parental education) , environmental risk score (factors: pets at home during pregnancy, smoking mother during pregnancy, older siblings living at home), perinatal risk score (factors: sex, low birth weight < 2500 g) | — |
| PPM001919 | PGS000754 (PRS_SLE) |
PSS000963| East Asian Ancestry| 2,589 individuals |
PGP000160 | Wang YF et al. Nat Commun (2021) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.76 [0.74, 0.78] | — | — | — |
| PPM001920 | PGS000754 (PRS_SLE) |
PSS000960| European Ancestry| 1,340 individuals |
PGP000160 | Wang YF et al. Nat Commun (2021) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.65 | — | — | — |
| PPM001921 | PGS000754 (PRS_SLE) |
PSS000961| European Ancestry| 7,733 individuals |
PGP000160 | Wang YF et al. Nat Commun (2021) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.65 | — | — | — |
| PPM001922 | PGS000754 (PRS_SLE) |
PSS000962| European Ancestry| 1,112 individuals |
PGP000160 | Wang YF et al. Nat Commun (2021) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.62 | — | — | — |
| PPM001935 | PGS000760 (VIT) |
PSS000970| European Ancestry| 1,584 individuals |
PGP000164 | Khan Z et al. Nat Commun (2021) |
Reported Trait: anti-PD-L1 induced hypothyroidism in cancer patients | HR: 1.41 [1.22, 1.61] | — | meta-analysis p-value: 1.10e-06 | 5 genotype PCs | — |
| PPM001996 | PGS000771 (GRS95_SLEmain) |
PSS000994| European Ancestry| 524 individuals |
PGP000178 | Chen L et al. Hum Mol Genet (2020) |
Reported Trait: Renal disease age of onset | — | AUROC: 0.576 [0.518, 0.634] | — | — | Renal disease is used as a proxy for systemic lupus erythematosus severity |
| PPM001997 | PGS000772 (GRS95_SLEgen) |
PSS000993| European Ancestry| 3,101 individuals |
PGP000178 | Chen L et al. Hum Mol Genet (2020) |
Reported Trait: Renal disease | — | — | Odds Ratio (OR, top 20% vs bottom 20%): 1.578 [1.25, 1.991] | — | Renal disease is used as a proxy for systemic lupus erythematosus severity |
| PPM001998 | PGS000771 (GRS95_SLEmain) |
PSS000994| European Ancestry| 524 individuals |
PGP000178 | Chen L et al. Hum Mol Genet (2020) |
Reported Trait: Renal disease age of onset | — | — | Odds Ratio (OR, top 20% vs bottom 20%): 3.155 [1.623, 6.133] | — | Renal disease is used as a proxy for systemic lupus erythematosus severity |
| PPM002024 | PGS000780 (PRS135_allergy) |
PSS001008| Ancestry Not Reported| 897 individuals |
PGP000184 | Clark H et al. Clin Exp Allergy (2019) |
Reported Trait: Atopic March | — | — | Relative Risk Ratio (RRR): 1.89 [1.4, 2.55] | — | Only 134 SNPs from the 135 SNP PRS were utilised. Rs10305290 was not included as the SNP was monomorphic. |
| PPM002025 | PGS000780 (PRS135_allergy) |
PSS001007| Multi-ancestry (including European)| 7,242 individuals |
PGP000184 | Clark H et al. Clin Exp Allergy (2019) |
Reported Trait: Atopic March | — | — | Relative Risk Ratio (RRR): 1.99 [1.74, 2.29] | — | For the MAAS cohort, only 134 SNPs from the 135 SNP PRS were utilised. Rs10305290 was not included as the SNP was monomorphic. |
| PPM002026 | PGS000780 (PRS135_allergy) |
PSS001008| Ancestry Not Reported| 897 individuals |
PGP000184 | Clark H et al. Clin Exp Allergy (2019) |
Reported Trait: Persistent eczema and wheeze | — | — | Relative Risk Ratio (RRR): 1.38 [1.01, 1.9] | — | Only 134 SNPs from the 135 SNP PRS were utilised. Rs10305290 was not included as the SNP was monomorphic. |
| PPM002027 | PGS000780 (PRS135_allergy) |
PSS001007| Multi-ancestry (including European)| 7,242 individuals |
PGP000184 | Clark H et al. Clin Exp Allergy (2019) |
Reported Trait: Persistent eczema and wheeze | — | — | Relative Risk Ratio (RRR): 1.39 [1.22, 1.6] | — | For the MAAS cohort, only 134 SNPs from the 135 SNP PRS were utilised. Rs10305290 was not included as the SNP was monomorphic. |
| PPM002028 | PGS000780 (PRS135_allergy) |
PSS001008| Ancestry Not Reported| 897 individuals |
PGP000184 | Clark H et al. Clin Exp Allergy (2019) |
Reported Trait: Persistent eczema with late-onset rhinitis | — | — | Relative Risk Ratio (RRR): 1.35 [1.04, 1.76] | — | Only 134 SNPs from the 135 SNP PRS were utilised. Rs10305290 was not included as the SNP was monomorphic. |
| PPM002029 | PGS000780 (PRS135_allergy) |
PSS001007| Multi-ancestry (including European)| 7,242 individuals |
PGP000184 | Clark H et al. Clin Exp Allergy (2019) |
Reported Trait: Persistent eczema with late-onset rhinitis | — | — | Relative Risk Ratio (RRR): 1.51 [1.35, 1.68] | — | For the MAAS cohort, only 134 SNPs from the 135 SNP PRS were utilised. Rs10305290 was not included as the SNP was monomorphic. |
| PPM002030 | PGS000780 (PRS135_allergy) |
PSS001008| Ancestry Not Reported| 897 individuals |
PGP000184 | Clark H et al. Clin Exp Allergy (2019) |
Reported Trait: Persistent wheeze with late-onset rhinitis | — | — | Relative Risk Ratio (RRR): 1.58 [1.22, 2.03] | — | Only 134 SNPs from the 135 SNP PRS were utilised. Rs10305290 was not included as the SNP was monomorphic. |
| PPM002031 | PGS000780 (PRS135_allergy) |
PSS001007| Multi-ancestry (including European)| 7,242 individuals |
PGP000184 | Clark H et al. Clin Exp Allergy (2019) |
Reported Trait: Persistent wheeze with late-onset rhinitis | — | — | Relative Risk Ratio (RRR): 1.44 [1.3, 1.6] | — | For the MAAS cohort, only 134 SNPs from the 135 SNP PRS were utilised. Rs10305290 was not included as the SNP was monomorphic. |
| PPM002032 | PGS000780 (PRS135_allergy) |
PSS001007| Multi-ancestry (including European)| 7,242 individuals |
PGP000184 | Clark H et al. Clin Exp Allergy (2019) |
Reported Trait: Transient wheeze | — | — | Relative Risk Ratio (RRR): 1.11 [1.02, 1.21] | — | For the MAAS cohort, only 134 SNPs from the 135 SNP PRS were utilised. Rs10305290 was not included as the SNP was monomorphic. |
| PPM002033 | PGS000780 (PRS135_allergy) |
PSS001007| Multi-ancestry (including European)| 7,242 individuals |
PGP000184 | Clark H et al. Clin Exp Allergy (2019) |
Reported Trait: Eczema only | — | — | Relative Risk Ratio (RRR): 1.16 [1.08, 1.24] | — | For the MAAS cohort, only 134 SNPs from the 135 SNP PRS were utilised. Rs10305290 was not included as the SNP was monomorphic. |
| PPM002034 | PGS000780 (PRS135_allergy) |
PSS001008| Ancestry Not Reported| 897 individuals |
PGP000184 | Clark H et al. Clin Exp Allergy (2019) |
Reported Trait: Rhinitis only | — | — | Relative Risk Ratio (RRR): 1.32 [1.06, 1.64] | — | Only 134 SNPs from the 135 SNP PRS were utilised. Rs10305290 was not included as the SNP was monomorphic. |
| PPM002035 | PGS000780 (PRS135_allergy) |
PSS001007| Multi-ancestry (including European)| 7,242 individuals |
PGP000184 | Clark H et al. Clin Exp Allergy (2019) |
Reported Trait: Rhinitis only | — | — | Relative Risk Ratio (RRR): 1.21 [1.12, 1.31] | — | For the MAAS cohort, only 134 SNPs from the 135 SNP PRS were utilised. Rs10305290 was not included as the SNP was monomorphic. |
| PPM002137 | PGS000809 (PRS127_MS) |
PSS001050| European Ancestry| 725 individuals |
PGP000194 | Barnes CLK et al. Eur J Hum Genet (2021) |
Reported Trait: Multiple sclerosis | β: 0.6 | AUROC: 0.705 (0.029) | R²: 0.07 | Age, sex, PCs(1-2) | — |
| PPM002138 | PGS000809 (PRS127_MS) |
PSS001051| European Ancestry| 656 individuals |
PGP000194 | Barnes CLK et al. Eur J Hum Genet (2021) |
Reported Trait: Multiple sclerosis | β: 0.59 | AUROC: 0.762 (0.055) | R²: 0.075 | Age, sex, PCs(1-2) | — |
| PPM002139 | PGS000809 (PRS127_MS) |
PSS001049| European Ancestry| 8,370 individuals |
PGP000194 | Barnes CLK et al. Eur J Hum Genet (2021) |
Reported Trait: Multiple Sclerosis | β: 0.63 | AUROC: 0.765 (0.042) | R²: 0.069 | Age, sex, PCs(1-2) | — |
| PPM002076 | PGS000754 (PRS_SLE) |
PSS001027| Additional Asian Ancestries| 3,996 individuals |
PGP000188 | Tangtanatakul P et al. Arthritis Res Ther (2020) |Ext. |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.76 | — | — | — |
| PPM002160 | PGS000810 (wGRS136_Allergy) |
PSS001055| European Ancestry| 22,029 individuals |
PGP000199 | Ferreira MAR et al. PLoS Genet (2020) |Ext. |
Reported Trait: Asthma age of onset | — | — | Percent (%) of cases with asthma prior to age 16 (bottom 10% of GRS): 14.0 | — | — |
| PPM002161 | PGS000810 (wGRS136_Allergy) |
PSS001055| European Ancestry| 22,029 individuals |
PGP000199 | Ferreira MAR et al. PLoS Genet (2020) |Ext. |
Reported Trait: Asthma age of onset | — | — | Percent (%) of cases with asthma prior to age 16 (top 10% of GRS): 35.0 | — | — |
| PPM002162 | PGS000810 (wGRS136_Allergy) |
PSS001055| European Ancestry| 22,029 individuals |
PGP000199 | Ferreira MAR et al. PLoS Genet (2020) |Ext. |
Reported Trait: Asthma age of onset | — | — | Median age of asthma onset in years (bottom 10% of GRS): 42.0 | — | — |
| PPM002163 | PGS000810 (wGRS136_Allergy) |
PSS001055| European Ancestry| 22,029 individuals |
PGP000199 | Ferreira MAR et al. PLoS Genet (2020) |Ext. |
Reported Trait: Asthma age of onset | — | — | Median age of asthma onset in years (top 10% of GRS): 30.0 | — | — |
| PPM002164 | PGS000810 (wGRS136_Allergy) |
PSS001057| European Ancestry| 14,474 individuals |
PGP000199 | Ferreira MAR et al. PLoS Genet (2020) |Ext. |
Reported Trait: Hay fever age of onset | — | — | Median age of onset in years (bottom 10% of GRS): 25.0 | — | — |
| PPM002165 | PGS000810 (wGRS136_Allergy) |
PSS001057| European Ancestry| 14,474 individuals |
PGP000199 | Ferreira MAR et al. PLoS Genet (2020) |Ext. |
Reported Trait: Hay fever age of onset | — | — | Median age of onset in years (top 10% of GRS): 18.0 | — | — |
| PPM002166 | PGS000810 (wGRS136_Allergy) |
PSS001056| European Ancestry| 3,969 individuals |
PGP000199 | Ferreira MAR et al. PLoS Genet (2020) |Ext. |
Reported Trait: Eczema age of onset | — | — | Median age of onset in years (bottom 10% of GRS): 30.0 | — | — |
| PPM002167 | PGS000810 (wGRS136_Allergy) |
PSS001056| European Ancestry| 3,969 individuals |
PGP000199 | Ferreira MAR et al. PLoS Genet (2020) |Ext. |
Reported Trait: Eczema age of onset | — | — | Median age of onset in years (top 10% of GRS): 23.0 | — | — |
| PPM002246 | PGS000833 (T1D) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.04 [0.97, 1.11] | — | — | PC1-10 | — |
| PPM002247 | PGS000833 (T1D) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.02 [0.97, 1.07] | — | — | PC1-10 | — |
| PPM002249 | PGS000024 (GRS2) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.0 [0.93, 1.07] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002250 | PGS000024 (GRS2) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.0 [0.93, 1.07] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002251 | PGS000024 (GRS2) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.01 [0.95, 1.08] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002252 | PGS000024 (GRS2) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Moderate Age-Related Diabetes | OR: 0.99 [0.94, 1.04] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002411 | PGS000867 (GRS10_Allergy) |
PSS001091| European Ancestry| 1,330 individuals |
PGP000213 | Arabkhazaeli A et al. Pediatr Allergy Immunol (2017) |
Reported Trait: Time to physician-diagnosed allergy in childhood | HR: 1.79 [1.06, 3.02] | — | — | — | — |
| PPM002412 | PGS000867 (GRS10_Allergy) |
PSS001091| European Ancestry| 1,330 individuals |
PGP000213 | Arabkhazaeli A et al. Pediatr Allergy Immunol (2017) |
Reported Trait: Time to physician-diagnosed allergy in childhood | HR: 1.89 [1.05, 3.41] | — | — | Age, gender, breastfeeding, family history of asthma, family history of allergies | — |
| PPM002414 | PGS000869 (T1D_48) |
PSS001092| Ancestry Not Reported| 5,740 individuals |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |
Reported Trait: Cystic-fibrosis related diabetes | HR: 1.077 | — | — | PCs(1-4), site of recruitment | — |
| PPM002493 | PGS000874 (PRS41_CLL) |
PSS001123| Multi-ancestry (including European)| 3,958 individuals |
PGP000220 | Kleinstern G et al. Blood (2018) |
Reported Trait: Chronic lymphocytic leukemia | OR: 2.49 [2.28, 2.8] | C-index: 0.79 [0.78, 0.8] | — | Age, sex, study, socioeconomic status (when available) | Odds Ratio (OR, top 20% vs middle 20%) = 3.64 [2.94 - 4.51] |
| PPM002494 | PGS000874 (PRS41_CLL) |
PSS001123| Multi-ancestry (including European)| 3,958 individuals |
PGP000220 | Kleinstern G et al. Blood (2018) |
Reported Trait: Chronic lymphocytic leukemia in individuals with no family history of hematological cancers | OR: 2.46 [2.19, 2.76] | C-index: 0.791 [0.77, 0.81] | — | Age, sex, study, socioeconomic status (when available) | Odds Ratio (OR, top 20% vs middle 20%) = 3.29 [2.49 - 4.35] |
| PPM002495 | PGS000874 (PRS41_CLL) |
PSS001123| Multi-ancestry (including European)| 3,958 individuals |
PGP000220 | Kleinstern G et al. Blood (2018) |
Reported Trait: Chronic lymphocytic leukemia in individuals with a family history of hematological cancers | OR: 3.79 [2.44, 5.87] | C-index: 0.861 [0.82, 0.9] | — | Age, sex, study, socioeconomic status (when available) | Odds Ratio (OR, top 20% vs middle 20%) = 7.58 [2.74 - 21.0] |
| PPM002496 | PGS000874 (PRS41_CLL) |
PSS001121| Ancestry Not Reported| 218 individuals |
PGP000220 | Kleinstern G et al. Blood (2018) |
Reported Trait: Chronic lymphocytic leukemia | OR: 2.44 [1.65, 3.62] | C-index: 0.798 [0.74, 0.85] | — | Age, sex, study, socioeconomic status (when available) | Odds Ratio (OR, top 20% vs middle 20%) = 3.51 [1.39 - 8.86] |
| PPM002497 | PGS000874 (PRS41_CLL) |
PSS001122| Ancestry Not Reported| 153 individuals |
PGP000220 | Kleinstern G et al. Blood (2018) |
Reported Trait: Monoclonal B-cell lymphocytosis | OR: 2.3 [1.44, 3.67] | C-index: 0.773 [0.7, 0.85] | — | Age, sex, study, socioeconomic status (when available) | Odds Ratio (OR, top 20% vs middle 20%) = 4.36 [1.45 - 13.1] |
| PPM002498 | PGS000874 (PRS41_CLL) |
PSS001119| Ancestry Not Reported| 1,468 individuals |
PGP000220 | Kleinstern G et al. Blood (2018) |
Reported Trait: Chronic lymphocytic leukemia | OR: 3.02 [2.49, 3.65] | C-index: 0.779 [0.74, 0.81] | — | Age, sex | Odds Ratio (OR, top 20% vs middle 20%) = 4.47 [2.76 - 7.24] |
| PPM002499 | PGS000874 (PRS41_CLL) |
PSS001120| Ancestry Not Reported| 1,362 individuals |
PGP000220 | Kleinstern G et al. Blood (2018) |
Reported Trait: Monoclonal B-cell lymphocytosis | OR: 2.81 [2.18, 3.61] | C-index: 0.774 [0.73, 0.82] | — | Age, sex | Odds Ratio (OR, top 20% vs middle 20%) = 4.34 [2.21 - 8.50] |
| PPM002654 | PGS000874 (PRS41_CLL) |
PSS001173| European Ancestry| 3,191 individuals |
PGP000234 | Kleinstern G et al. Leukemia (2021) |Ext. |
Reported Trait: Monoclonal B-cell lymphocytosis | OR: 1.86 [1.67, 2.07] | C-index: 0.72 [0.69, 0.73] | Odds Ratio (OR, top 20% vs middle 20%): 2.38 [1.81, 3.13] | Age, sex | — |
| PPM002655 | PGS000874 (PRS41_CLL) |
PSS001173| European Ancestry| 3,191 individuals |
PGP000234 | Kleinstern G et al. Leukemia (2021) |Ext. |
Reported Trait: Monoclonal B-cell lymphocytosis | OR: 1.15 [1.13, 1.18] | C-index: 0.72 [0.7, 0.74] | — | Age, sex | An unweighted version of PRS41_CLL was used. |
| PPM002656 | PGS000874 (PRS41_CLL) |
PSS001173| European Ancestry| 3,191 individuals |
PGP000234 | Kleinstern G et al. Leukemia (2021) |Ext. |
Reported Trait: Low-count monoclonal B-cell lymphocytosis | OR: 1.75 [1.55, 1.98] | C-index: 0.72 [0.7, 0.75] | Odds Ratio (OR, top 20% vs middle 20%): 2.1 [1.53, 2.88] | Age, sex | — |
| PPM002657 | PGS000874 (PRS41_CLL) |
PSS001173| European Ancestry| 3,191 individuals |
PGP000234 | Kleinstern G et al. Leukemia (2021) |Ext. |
Reported Trait: Low-count monoclonal B-cell lymphocytosis | OR: 1.14 [1.11, 1.17] | C-index: 0.72 [0.7, 0.75] | — | Age, sex | An unweighted version of PRS41_CLL was used. |
| PPM002658 | PGS000874 (PRS41_CLL) |
PSS001173| European Ancestry| 3,191 individuals |
PGP000234 | Kleinstern G et al. Leukemia (2021) |Ext. |
Reported Trait: High-count monoclonal B-cell lymphocytosis | OR: 2.14 [1.8, 2.56] | C-index: 0.73 [0.69, 0.77] | Odds Ratio (OR, top 20% vs middle 20%): 3.13 [1.97, 4.98] | Age, sex | — |
| PPM002659 | PGS000874 (PRS41_CLL) |
PSS001173| European Ancestry| 3,191 individuals |
PGP000234 | Kleinstern G et al. Leukemia (2021) |Ext. |
Reported Trait: High-count monoclonal B-cell lymphocytosis | OR: 1.19 [1.14, 1.23] | C-index: 0.725 [0.69, 0.77] | — | Age, sex | An unweighted version of PRS41_CLL was used. |
| PPM002660 | PGS000874 (PRS41_CLL) |
PSS001172| European Ancestry| 3,327 individuals |
PGP000234 | Kleinstern G et al. Leukemia (2021) |Ext. |
Reported Trait: Chronic lymphocytic leukemia | OR: 2.53 [2.27, 2.81] | C-index: 0.77 [0.75, 0.79] | Odds Ratio (OR, top 20% vs middle 20%): 3.49 [2.70, 4.51] | Age, sex | — |
| PPM002661 | PGS000874 (PRS41_CLL) |
PSS001172| European Ancestry| 3,327 individuals |
PGP000234 | Kleinstern G et al. Leukemia (2021) |Ext. |
Reported Trait: Chronic lymphocytic leukemia | OR: 1.23 [1.2, 1.26] | C-index: 0.775 [0.76, 0.79] | — | Age, sex | An unweighted version of PRS41_CLL was used. |
| PPM002662 | PGS000874 (PRS41_CLL) |
PSS001171| African Ancestry| 408 individuals |
PGP000234 | Kleinstern G et al. Leukemia (2021) |Ext. |
Reported Trait: Chronic lymphocytic leukemia | OR: 1.76 [1.34, 2.31] | C-index: 0.62 [0.57, 0.68] | — | Age, sex | — |
| PPM002663 | PGS000874 (PRS41_CLL) |
PSS001171| African Ancestry| 408 individuals |
PGP000234 | Kleinstern G et al. Leukemia (2021) |Ext. |
Reported Trait: Chronic lymphocytic leukemia | OR: 1.07 [1.01, 1.13] | C-index: 0.57 [0.53, 0.64] | — | Age, sex | An unweighted version of PRS41_CLL was used. |
| PPM002244 | PGS000833 (T1D) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.01 [0.94, 1.08] | — | — | PC1-10 | — |
| PPM002245 | PGS000833 (T1D) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.03 [0.96, 1.11] | — | — | PC1-10 | — |
| PPM002248 | PGS000024 (GRS2) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Severe Autoimmune Diabetes | OR: 2.55 [2.28, 2.86] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM009229 | PGS001773 (PRS_atopicDermatitis) |
PSS007661| Multi-ancestry (including European)| 676 individuals |
PGP000253 | Simard M et al. J Allergy Clin Immunol (2020) |
Reported Trait: Moderate-to-severe aotpic dermatitis | — | AUROC: 0.93 | R²: 0.49 | Age, sex, father's ethnicity, mother ethnicity | Nagelkerke's R^2, only unrelated individuals were considered in the analyses |
| PPM009230 | PGS001773 (PRS_atopicDermatitis) |
PSS007661| Multi-ancestry (including European)| 676 individuals |
PGP000253 | Simard M et al. J Allergy Clin Immunol (2020) |
Reported Trait: Food allergy | — | AUROC: 0.75 | — | Age, sex, father's ethnicity, mother ethnicity | Only unrelated individuals were considered in the analyses |
| PPM009231 | PGS001773 (PRS_atopicDermatitis) |
PSS007661| Multi-ancestry (including European)| 676 individuals |
PGP000253 | Simard M et al. J Allergy Clin Immunol (2020) |
Reported Trait: Allergic asthma | — | AUROC: 0.75 | — | Age, sex, father's ethnicity, mother ethnicity | Only unrelated individuals were considered in the analyses |
| PPM009232 | PGS001773 (PRS_atopicDermatitis) |
PSS007661| Multi-ancestry (including European)| 676 individuals |
PGP000253 | Simard M et al. J Allergy Clin Immunol (2020) |
Reported Trait: Allergic rhinitis | — | AUROC: 0.77 | — | Age, sex, father's ethnicity, mother ethnicity | Only unrelated individuals were considered in the analyses |
| PPM005215 | PGS001536 (GBE_HC1188) |
PSS004173| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vitiligo | — | AUROC: 0.63509 [0.52563, 0.74454] | R²: 0.01654 Incremental AUROC (full-covars): -0.00281 PGS R2 (no covariates): 0.0 PGS AUROC (no covariates): 0.51169 [0.39527, 0.62811] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005216 | PGS001536 (GBE_HC1188) |
PSS004174| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vitiligo | — | AUROC: 0.82774 [0.75298, 0.90249] | R²: 0.08055 Incremental AUROC (full-covars): 0.01924 PGS R2 (no covariates): 0.00431 PGS AUROC (no covariates): 0.57823 [0.37976, 0.7767] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005217 | PGS001536 (GBE_HC1188) |
PSS004175| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vitiligo | — | AUROC: 0.6991 [0.61917, 0.77902] | R²: 0.03993 Incremental AUROC (full-covars): 0.01341 PGS R2 (no covariates): 0.00254 PGS AUROC (no covariates): 0.55625 [0.47549, 0.63701] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005218 | PGS001536 (GBE_HC1188) |
PSS004176| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vitiligo | — | AUROC: 0.64566 [0.58746, 0.70386] | R²: 0.02575 Incremental AUROC (full-covars): 0.0309 PGS R2 (no covariates): 0.01048 PGS AUROC (no covariates): 0.60302 [0.5391, 0.66694] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005219 | PGS001536 (GBE_HC1188) |
PSS004177| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vitiligo | — | AUROC: 0.63449 [0.58754, 0.68144] | R²: 0.01686 Incremental AUROC (full-covars): 0.08163 PGS R2 (no covariates): 0.01621 PGS AUROC (no covariates): 0.64193 [0.59907, 0.68478] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005290 | PGS001372 (GBE_INI22146) |
PSS004956| African Ancestry| 170 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age hayfever or allergic rhinitis diagnosed by doctor | — | — | R²: 0.13957 [0.12394, 0.15519] Incremental R2 (full-covars): -0.01335 PGS R2 (no covariates): 0.00276 [0.00021, 0.00531] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005291 | PGS001372 (GBE_INI22146) |
PSS004957| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age hayfever or allergic rhinitis diagnosed by doctor | — | — | R²: 0.0439 [0.02492, 0.06289] Incremental R2 (full-covars): -0.00185 PGS R2 (no covariates): 0.00016 [-0.00104, 0.00135] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005292 | PGS001372 (GBE_INI22146) |
PSS004958| European Ancestry| 1,421 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age hayfever or allergic rhinitis diagnosed by doctor | — | — | R²: 0.098 [0.09099, 0.10502] Incremental R2 (full-covars): 0.00684 PGS R2 (no covariates): 0.00657 [0.00457, 0.00857] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005293 | PGS001372 (GBE_INI22146) |
PSS004959| South Asian Ancestry| 187 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age hayfever or allergic rhinitis diagnosed by doctor | — | — | R²: 0.20226 [0.18637, 0.21814] Incremental R2 (full-covars): 0.01767 PGS R2 (no covariates): 0.01185 [0.00708, 0.01661] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005294 | PGS001372 (GBE_INI22146) |
PSS004960| European Ancestry| 3,857 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age hayfever or allergic rhinitis diagnosed by doctor | — | — | R²: 0.08334 [0.07935, 0.08734] Incremental R2 (full-covars): 0.00599 PGS R2 (no covariates): 0.00511 [0.00404, 0.00619] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008284 | PGS001109 (GBE_HC1021) |
PSS004069| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vasomotor and allergic rhinitis | — | AUROC: 0.5683 [0.54473, 0.59188] | R²: 0.01206 Incremental AUROC (full-covars): 0.00409 PGS R2 (no covariates): 0.00275 PGS AUROC (no covariates): 0.53243 [0.50926, 0.55561] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008285 | PGS001109 (GBE_HC1021) |
PSS004070| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vasomotor and allergic rhinitis | — | AUROC: 0.54528 [0.51116, 0.5794] | R²: 0.01457 Incremental AUROC (full-covars): 0.00387 PGS R2 (no covariates): 0.00105 PGS AUROC (no covariates): 0.51375 [0.47834, 0.54917] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008286 | PGS001109 (GBE_HC1021) |
PSS004071| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vasomotor and allergic rhinitis | — | AUROC: 0.6003 [0.58786, 0.61273] | R²: 0.0217 Incremental AUROC (full-covars): 0.02658 PGS R2 (no covariates): 0.00981 PGS AUROC (no covariates): 0.56712 [0.55454, 0.57969] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008287 | PGS001109 (GBE_HC1021) |
PSS004072| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vasomotor and allergic rhinitis | — | AUROC: 0.55379 [0.53392, 0.57366] | R²: 0.00762 Incremental AUROC (full-covars): 0.0079 PGS R2 (no covariates): 0.00254 PGS AUROC (no covariates): 0.53239 [0.51256, 0.55222] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008288 | PGS001109 (GBE_HC1021) |
PSS004073| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vasomotor and allergic rhinitis | — | AUROC: 0.59854 [0.59138, 0.6057] | R²: 0.02303 Incremental AUROC (full-covars): 0.02878 PGS R2 (no covariates): 0.0118 PGS AUROC (no covariates): 0.56998 [0.56268, 0.57727] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008800 | PGS001259 (GBE_HC49) |
PSS004511| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever/allergic rhinitis | — | AUROC: 0.58821 [0.55886, 0.61757] | R²: 0.01784 Incremental AUROC (full-covars): -0.00253 PGS R2 (no covariates): 0.00082 PGS AUROC (no covariates): 0.51547 [0.48626, 0.54467] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008801 | PGS001259 (GBE_HC49) |
PSS004512| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever/allergic rhinitis | — | AUROC: 0.56313 [0.52505, 0.60122] | R²: 0.02281 Incremental AUROC (full-covars): 0.00075 PGS R2 (no covariates): 0.0011 PGS AUROC (no covariates): 0.52627 [0.48539, 0.56716] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008802 | PGS001259 (GBE_HC49) |
PSS004513| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever/allergic rhinitis | — | AUROC: 0.60641 [0.59175, 0.62107] | R²: 0.02043 Incremental AUROC (full-covars): 0.01519 PGS R2 (no covariates): 0.00564 PGS AUROC (no covariates): 0.55414 [0.53891, 0.56936] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008803 | PGS001259 (GBE_HC49) |
PSS004514| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever/allergic rhinitis | — | AUROC: 0.60093 [0.57427, 0.6276] | R²: 0.02041 Incremental AUROC (full-covars): 0.00631 PGS R2 (no covariates): 0.00266 PGS AUROC (no covariates): 0.54086 [0.51259, 0.56913] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008804 | PGS001259 (GBE_HC49) |
PSS004515| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever/allergic rhinitis | — | AUROC: 0.60078 [0.59218, 0.60937] | R²: 0.02042 Incremental AUROC (full-covars): 0.01922 PGS R2 (no covariates): 0.00737 PGS AUROC (no covariates): 0.5597 [0.55096, 0.56843] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008840 | PGS001267 (GBE_HC422) |
PSS004486| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.86744 [0.75569, 0.97918] | R²: 0.1463 Incremental AUROC (full-covars): -0.00062 PGS R2 (no covariates): 0.00216 PGS AUROC (no covariates): 0.4722 [0.12421, 0.82018] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008841 | PGS001267 (GBE_HC422) |
PSS004487| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.98913 [0.972, 1.0] | R²: 0.44316 Incremental AUROC (full-covars): 0.0423 PGS R2 (no covariates): 0.24382 PGS AUROC (no covariates): 0.81698 [0.46329, 1.0] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008842 | PGS001267 (GBE_HC422) |
PSS004488| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.73638 [0.67151, 0.80124] | R²: 0.10414 Incremental AUROC (full-covars): 0.06004 PGS R2 (no covariates): 0.07222 PGS AUROC (no covariates): 0.67545 [0.60736, 0.74353] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008843 | PGS001267 (GBE_HC422) |
PSS004489| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.73535 [0.61203, 0.85867] | R²: 0.03713 Incremental AUROC (full-covars): -0.01782 PGS R2 (no covariates): 0.00902 PGS AUROC (no covariates): 0.42181 [0.29024, 0.55338] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008844 | PGS001267 (GBE_HC422) |
PSS004490| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.74328 [0.70673, 0.77983] | R²: 0.10925 Incremental AUROC (full-covars): 0.12994 PGS R2 (no covariates): 0.09877 PGS AUROC (no covariates): 0.72651 [0.68965, 0.76337] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008845 | PGS001268 (GBE_HC1242) |
PSS004228| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ankylosing spondylitis | — | AUROC: 0.86811 [0.75774, 0.97849] | R²: 0.14598 Incremental AUROC (full-covars): 6e-05 PGS R2 (no covariates): 0.00104 PGS AUROC (no covariates): 0.48424 [0.12443, 0.84406] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008846 | PGS001268 (GBE_HC1242) |
PSS004229| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ankylosing spondylitis | — | AUROC: 0.99148 [0.9789, 1.0] | R²: 0.44858 Incremental AUROC (full-covars): 0.04465 PGS R2 (no covariates): 0.23755 PGS AUROC (no covariates): 0.81257 [0.45025, 1.0] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008847 | PGS001268 (GBE_HC1242) |
PSS004230| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ankylosing spondylitis | — | AUROC: 0.73336 [0.66901, 0.79772] | R²: 0.10217 Incremental AUROC (full-covars): 0.0575 PGS R2 (no covariates): 0.06991 PGS AUROC (no covariates): 0.67405 [0.607, 0.74111] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008848 | PGS001268 (GBE_HC1242) |
PSS004231| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ankylosing spondylitis | — | AUROC: 0.73282 [0.61573, 0.84991] | R²: 0.03979 Incremental AUROC (full-covars): -0.01963 PGS R2 (no covariates): 0.00774 PGS AUROC (no covariates): 0.4297 [0.29438, 0.56502] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008849 | PGS001268 (GBE_HC1242) |
PSS004232| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ankylosing spondylitis | — | AUROC: 0.74878 [0.71314, 0.78442] | R²: 0.115 Incremental AUROC (full-covars): 0.12686 PGS R2 (no covariates): 0.10232 PGS AUROC (no covariates): 0.7346 [0.69884, 0.77037] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008850 | PGS001270 (GBE_HC151) |
PSS004273| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.78603 [0.68344, 0.88862] | R²: 0.07124 Incremental AUROC (full-covars): -0.04449 PGS R2 (no covariates): 0.02639 PGS AUROC (no covariates): 0.35945 [0.2174, 0.5015] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008851 | PGS001270 (GBE_HC151) |
PSS004274| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.65766 [0.60651, 0.7088] | R²: 0.02306 Incremental AUROC (full-covars): 0.0559 PGS R2 (no covariates): 0.01225 PGS AUROC (no covariates): 0.61627 [0.56233, 0.67022] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008852 | PGS001270 (GBE_HC151) |
PSS004275| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.9739 [0.9358, 1.0] | R²: 0.3229 Incremental AUROC (full-covars): 0.01955 PGS R2 (no covariates): 0.02901 PGS AUROC (no covariates): 0.64875 [0.24603, 1.0] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008853 | PGS001270 (GBE_HC151) |
PSS004276| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.69658 [0.66502, 0.72814] | R²: 0.04105 Incremental AUROC (full-covars): 0.08355 PGS R2 (no covariates): 0.02904 PGS AUROC (no covariates): 0.65856 [0.62428, 0.69284] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008854 | PGS001271 (GBE_HC810) |
PSS004637| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE multiple sclerosis | — | AUROC: 0.8033 [0.6935, 0.91311] | PGS R2 (no covariates): 0.01095 R²: 0.10788 Incremental AUROC (full-covars): -0.03509 PGS AUROC (no covariates): 0.39974 [0.23738, 0.56211] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008855 | PGS001271 (GBE_HC810) |
PSS004639| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE multiple sclerosis | — | AUROC: 0.65561 [0.60622, 0.705] | R²: 0.02347 Incremental AUROC (full-covars): 0.05454 PGS R2 (no covariates): 0.01258 PGS AUROC (no covariates): 0.61601 [0.56326, 0.66875] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008856 | PGS001271 (GBE_HC810) |
PSS004640| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE multiple sclerosis | — | AUROC: 0.97595 [0.94159, 1.0] | R²: 0.33555 Incremental AUROC (full-covars): 0.01648 PGS R2 (no covariates): 0.01091 PGS AUROC (no covariates): 0.55629 [0.19512, 0.91745] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008857 | PGS001271 (GBE_HC810) |
PSS004641| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE multiple sclerosis | — | AUROC: 0.6895 [0.65926, 0.71974] | R²: 0.03906 Incremental AUROC (full-covars): 0.07145 PGS R2 (no covariates): 0.02562 PGS AUROC (no covariates): 0.64688 [0.61364, 0.68013] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008917 | PGS001283 (GBE_INI3761) |
PSS007255| European Ancestry| 13,999 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age hay fever, rhinitis or eczema diagnosed | — | — | R²: 0.11512 [0.11059, 0.11965] Incremental R2 (full-covars): 0.01247 PGS R2 (no covariates): 0.0125 [0.01084, 0.01417] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008913 | PGS001283 (GBE_INI3761) |
PSS007251| African Ancestry| 1,401 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age hay fever, rhinitis or eczema diagnosed | — | — | R²: 0.14854 [0.13259, 0.16449] Incremental R2 (full-covars): -0.0075 PGS R2 (no covariates): 0.00033 [-0.00055, 0.0012] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008914 | PGS001283 (GBE_INI3761) |
PSS007252| East Asian Ancestry| 592 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age hay fever, rhinitis or eczema diagnosed | — | — | R²: 0.08793 [0.0623, 0.11356] Incremental R2 (full-covars): 0.01315 PGS R2 (no covariates): 0.01568 [0.004, 0.02736] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008915 | PGS001283 (GBE_INI3761) |
PSS007253| European Ancestry| 5,147 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age hay fever, rhinitis or eczema diagnosed | — | — | R²: 0.11614 [0.10866, 0.12362] Incremental R2 (full-covars): 0.01049 PGS R2 (no covariates): 0.01087 [0.00831, 0.01343] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008916 | PGS001283 (GBE_INI3761) |
PSS007254| South Asian Ancestry| 1,451 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age hay fever, rhinitis or eczema diagnosed | — | — | R²: 0.11629 [0.10294, 0.12963] Incremental R2 (full-covars): 0.00477 PGS R2 (no covariates): 0.00527 [0.00207, 0.00846] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008918 | PGS001284 (GBE_BIN_FC10006152) |
PSS003736| African Ancestry| 6,348 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever allergic rhinitis or eczema | — | AUROC: 0.6114 [0.59586, 0.62694] | R²: 0.04366 Incremental AUROC (full-covars): 0.00507 PGS R2 (no covariates): 0.0072 PGS AUROC (no covariates): 0.5418 [0.52577, 0.55784] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008919 | PGS001284 (GBE_BIN_FC10006152) |
PSS003737| East Asian Ancestry| 1,640 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever allergic rhinitis or eczema | — | AUROC: 0.6017 [0.57412, 0.62927] | R²: 0.04656 Incremental AUROC (full-covars): 0.01162 PGS R2 (no covariates): 0.01108 PGS AUROC (no covariates): 0.55514 [0.52697, 0.58332] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008920 | PGS001284 (GBE_BIN_FC10006152) |
PSS003738| European Ancestry| 24,838 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever allergic rhinitis or eczema | — | AUROC: 0.63382 [0.62577, 0.64186] | R²: 0.06149 Incremental AUROC (full-covars): 0.03904 PGS R2 (no covariates): 0.0337 PGS AUROC (no covariates): 0.60011 [0.59191, 0.60831] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008921 | PGS001284 (GBE_BIN_FC10006152) |
PSS003739| South Asian Ancestry| 7,556 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever allergic rhinitis or eczema | — | AUROC: 0.60105 [0.58571, 0.6164] | R²: 0.03149 Incremental AUROC (full-covars): 0.04131 PGS R2 (no covariates): 0.02118 PGS AUROC (no covariates): 0.58123 [0.56584, 0.59661] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008922 | PGS001284 (GBE_BIN_FC10006152) |
PSS003740| European Ancestry| 67,349 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever allergic rhinitis or eczema | — | AUROC: 0.63735 [0.6325, 0.6422] | R²: 0.06354 Incremental AUROC (full-covars): 0.05347 PGS R2 (no covariates): 0.04086 PGS AUROC (no covariates): 0.60988 [0.60494, 0.61483] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008923 | PGS001285 (GBE_BIN_FC5006152) |
PSS003979| African Ancestry| 5,863 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever rhinitis or eczema diagnosed by doctor | — | AUROC: 0.61988 [0.60418, 0.63557] | R²: 0.05243 Incremental AUROC (full-covars): 0.00361 PGS R2 (no covariates): 0.00809 PGS AUROC (no covariates): 0.5435 [0.52719, 0.55982] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008924 | PGS001285 (GBE_BIN_FC5006152) |
PSS003980| East Asian Ancestry| 1,575 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever rhinitis or eczema diagnosed by doctor | — | AUROC: 0.60016 [0.57208, 0.62825] | R²: 0.04666 Incremental AUROC (full-covars): 0.00725 PGS R2 (no covariates): 0.0103 PGS AUROC (no covariates): 0.55278 [0.52414, 0.58142] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008925 | PGS001285 (GBE_BIN_FC5006152) |
PSS003981| European Ancestry| 22,705 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever rhinitis or eczema diagnosed by doctor | — | AUROC: 0.64037 [0.63223, 0.64852] | R²: 0.07055 Incremental AUROC (full-covars): 0.04919 PGS R2 (no covariates): 0.04448 PGS AUROC (no covariates): 0.61233 [0.60403, 0.62062] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008926 | PGS001285 (GBE_BIN_FC5006152) |
PSS003982| South Asian Ancestry| 6,933 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever rhinitis or eczema diagnosed by doctor | — | AUROC: 0.61 [0.59463, 0.62537] | R²: 0.03824 Incremental AUROC (full-covars): 0.05029 PGS R2 (no covariates): 0.02803 PGS AUROC (no covariates): 0.59248 [0.57698, 0.60797] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008927 | PGS001285 (GBE_BIN_FC5006152) |
PSS003983| European Ancestry| 61,525 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever rhinitis or eczema diagnosed by doctor | — | AUROC: 0.64412 [0.63921, 0.64903] | R²: 0.07281 Incremental AUROC (full-covars): 0.06352 PGS R2 (no covariates): 0.05108 PGS AUROC (no covariates): 0.62052 [0.61552, 0.62551] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008928 | PGS001286 (GBE_BIN22126) |
PSS003671| African Ancestry| 516 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Doctor diagnosed hayfever or allergic rhinitis | — | AUROC: 0.59048 [0.53845, 0.6425] | R²: 0.04417 Incremental AUROC (full-covars): -0.00133 PGS R2 (no covariates): 0.0 PGS AUROC (no covariates): 0.49458 [0.44138, 0.54777] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008929 | PGS001286 (GBE_BIN22126) |
PSS003672| East Asian Ancestry| 245 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Doctor diagnosed hayfever or allergic rhinitis | — | AUROC: 0.64171 [0.57232, 0.7111] | R²: 0.10104 Incremental AUROC (full-covars): 0.0021 PGS R2 (no covariates): 0.00195 PGS AUROC (no covariates): 0.53214 [0.45762, 0.60665] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008930 | PGS001286 (GBE_BIN22126) |
PSS003673| European Ancestry| 5,959 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Doctor diagnosed hayfever or allergic rhinitis | — | AUROC: 0.57725 [0.56045, 0.59405] | R²: 0.02043 Incremental AUROC (full-covars): 0.01152 PGS R2 (no covariates): 0.00603 PGS AUROC (no covariates): 0.53991 [0.52259, 0.55722] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008931 | PGS001286 (GBE_BIN22126) |
PSS003674| South Asian Ancestry| 707 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Doctor diagnosed hayfever or allergic rhinitis | — | AUROC: 0.62831 [0.58265, 0.67397] | R²: 0.06246 Incremental AUROC (full-covars): 0.0031 PGS R2 (no covariates): 0.00591 PGS AUROC (no covariates): 0.54034 [0.49224, 0.58845] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008932 | PGS001286 (GBE_BIN22126) |
PSS003675| European Ancestry| 17,244 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Doctor diagnosed hayfever or allergic rhinitis | — | AUROC: 0.59244 [0.58227, 0.60261] | R²: 0.02888 Incremental AUROC (full-covars): 0.02256 PGS R2 (no covariates): 0.01469 PGS AUROC (no covariates): 0.56502 [0.55474, 0.5753] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008933 | PGS001287 (GBE_HC91) |
PSS004706| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.98006 [0.94602, 1.0] | Incremental AUROC (full-covars): 0.00516 R²: 0.29301 PGS R2 (no covariates): 0.01017 PGS AUROC (no covariates): 0.72132 [0.63231, 0.81034] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008934 | PGS001287 (GBE_HC91) |
PSS004707| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.99354 [0.98059, 1.0] | R²: 0.5357 Incremental AUROC (full-covars): -0.00088 PGS R2 (no covariates): 0.00227 PGS AUROC (no covariates): 0.47826 [0.0, 0.96911] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008935 | PGS001287 (GBE_HC91) |
PSS004708| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.72814 [0.67154, 0.78475] | R²: 0.05154 Incremental AUROC (full-covars): 0.08346 PGS R2 (no covariates): 0.0335 PGS AUROC (no covariates): 0.67648 [0.61155, 0.7414] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008936 | PGS001287 (GBE_HC91) |
PSS004709| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.71827 [0.61363, 0.82292] | R²: 0.04395 Incremental AUROC (full-covars): 0.00838 PGS R2 (no covariates): 0.00229 PGS AUROC (no covariates): 0.56943 [0.44876, 0.69011] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008937 | PGS001287 (GBE_HC91) |
PSS004710| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.6376 [0.60073, 0.67447] | R²: 0.02161 Incremental AUROC (full-covars): 0.0945 PGS R2 (no covariates): 0.02111 PGS AUROC (no covariates): 0.63567 [0.598, 0.67334] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008938 | PGS001288 (GBE_HC95) |
PSS004741| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.64251 [0.54711, 0.73791] | R²: 0.05914 Incremental AUROC (full-covars): 0.00245 PGS R2 (no covariates): 0.00027 PGS AUROC (no covariates): 0.52101 [0.42335, 0.61867] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008939 | PGS001288 (GBE_HC95) |
PSS004742| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.89429 [0.79091, 0.99767] | R²: 0.2051 Incremental AUROC (full-covars): -0.0033 PGS R2 (no covariates): 0.0 PGS AUROC (no covariates): 0.48687 [0.28135, 0.6924] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008940 | PGS001288 (GBE_HC95) |
PSS004743| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.63478 [0.60168, 0.66787] | R²: 0.02287 Incremental AUROC (full-covars): 0.02492 PGS R2 (no covariates): 0.0102 PGS AUROC (no covariates): 0.58475 [0.55242, 0.61708] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008941 | PGS001288 (GBE_HC95) |
PSS004744| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.66934 [0.62525, 0.71343] | R²: 0.03759 Incremental AUROC (full-covars): 0.004 PGS R2 (no covariates): 0.00311 PGS AUROC (no covariates): 0.55448 [0.50125, 0.6077] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008942 | PGS001288 (GBE_HC95) |
PSS004745| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.59461 [0.57544, 0.61378] | R²: 0.01221 Incremental AUROC (full-covars): 0.06405 PGS R2 (no covariates): 0.01191 PGS AUROC (no covariates): 0.59586 [0.5768, 0.61492] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008978 | PGS001296 (GBE_HC648) |
PSS004570| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.66885 [0.62172, 0.71599] | R²: 0.04054 Incremental AUROC (full-covars): -0.01128 PGS R2 (no covariates): 0.00021 PGS AUROC (no covariates): 0.51906 [0.4689, 0.56923] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008979 | PGS001296 (GBE_HC648) |
PSS004571| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.89264 [0.80447, 0.98081] | R²: 0.19006 Incremental AUROC (full-covars): -0.01413 PGS R2 (no covariates): 0.00422 PGS AUROC (no covariates): 0.43531 [0.15162, 0.71901] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008980 | PGS001296 (GBE_HC648) |
PSS004572| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.70536 [0.66494, 0.74577] | R²: 0.0607 Incremental AUROC (full-covars): 0.12077 PGS R2 (no covariates): 0.05496 PGS AUROC (no covariates): 0.68941 [0.64672, 0.73209] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008981 | PGS001296 (GBE_HC648) |
PSS004573| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.67679 [0.6379, 0.71568] | R²: 0.04266 Incremental AUROC (full-covars): -0.01593 PGS R2 (no covariates): 0.0016 PGS AUROC (no covariates): 0.54249 [0.49552, 0.58946] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008982 | PGS001296 (GBE_HC648) |
PSS004574| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.65986 [0.63673, 0.68299] | R²: 0.03385 Incremental AUROC (full-covars): 0.06785 PGS R2 (no covariates): 0.02496 PGS AUROC (no covariates): 0.62694 [0.60131, 0.65256] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008983 | PGS001297 (GBE_HC337) |
PSS004457| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.78146 [0.64554, 0.91738] | R²: 0.08635 Incremental AUROC (full-covars): -0.05504 PGS R2 (no covariates): 0.00185 PGS AUROC (no covariates): 0.41884 [0.19064, 0.64704] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008984 | PGS001297 (GBE_HC337) |
PSS004458| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.79737 [0.708, 0.88674] | R²: 0.11683 Incremental AUROC (full-covars): 0.09636 PGS R2 (no covariates): 0.0912 PGS AUROC (no covariates): 0.77118 [0.67108, 0.87128] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008985 | PGS001297 (GBE_HC337) |
PSS004459| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.81031 [0.66359, 0.95703] | R²: 0.06825 Incremental AUROC (full-covars): -0.01908 PGS R2 (no covariates): 6e-05 PGS AUROC (no covariates): 0.53853 [0.37761, 0.69945] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008986 | PGS001297 (GBE_HC337) |
PSS004460| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.7643 [0.7041, 0.8245] | R²: 0.06625 Incremental AUROC (full-covars): 0.19149 PGS R2 (no covariates): 0.06103 PGS AUROC (no covariates): 0.76543 [0.70744, 0.82342] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008997 | PGS001300 (GBE_BIN21068) |
PSS003667| African Ancestry| 969 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | AUROC: 0.77521 [0.67165, 0.87877] | R²: 0.10494 Incremental AUROC (full-covars): 0.00391 PGS R2 (no covariates): 0.00465 PGS AUROC (no covariates): 0.54048 [0.39518, 0.68579] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008998 | PGS001300 (GBE_BIN21068) |
PSS003668| European Ancestry| 9,024 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | AUROC: 0.67118 [0.63561, 0.70676] | R²: 0.04801 Incremental AUROC (full-covars): 0.03638 PGS R2 (no covariates): 0.02217 PGS AUROC (no covariates): 0.58541 [0.54195, 0.62888] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008999 | PGS001300 (GBE_BIN21068) |
PSS003669| South Asian Ancestry| 1,145 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | AUROC: 0.78803 [0.69728, 0.87878] | R²: 0.09336 Incremental AUROC (full-covars): 0.00365 PGS R2 (no covariates): 0.00127 PGS AUROC (no covariates): 0.56184 [0.43287, 0.6908] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009000 | PGS001300 (GBE_BIN21068) |
PSS003670| European Ancestry| 24,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | AUROC: 0.6734 [0.64935, 0.69745] | R²: 0.04185 Incremental AUROC (full-covars): 0.08398 PGS R2 (no covariates): 0.02957 PGS AUROC (no covariates): 0.62888 [0.60094, 0.65683] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009001 | PGS001301 (GBE_HC303) |
PSS004423| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Malabsorption/coeliac disease | — | AUROC: 0.84259 [0.73437, 0.95081] | R²: 0.12308 Incremental AUROC (full-covars): 0.02463 PGS R2 (no covariates): 0.03018 PGS AUROC (no covariates): 0.68151 [0.48835, 0.87467] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009002 | PGS001301 (GBE_HC303) |
PSS004424| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Malabsorption/coeliac disease | — | AUROC: 0.81472 [0.7798, 0.84965] | R²: 0.15108 Incremental AUROC (full-covars): 0.1791 PGS R2 (no covariates): 0.14221 PGS AUROC (no covariates): 0.80994 [0.77441, 0.84547] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009003 | PGS001301 (GBE_HC303) |
PSS004425| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Malabsorption/coeliac disease | — | AUROC: 0.81699 [0.73267, 0.9013] | R²: 0.11397 Incremental AUROC (full-covars): 0.06035 PGS R2 (no covariates): 0.07098 PGS AUROC (no covariates): 0.76239 [0.65258, 0.87221] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009004 | PGS001301 (GBE_HC303) |
PSS004426| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Malabsorption/coeliac disease | — | AUROC: 0.83351 [0.81372, 0.85329] | R²: 0.14905 Incremental AUROC (full-covars): 0.25775 PGS R2 (no covariates): 0.14224 PGS AUROC (no covariates): 0.82867 [0.80826, 0.84908] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009024 | PGS001306 (GBE_HC201) |
PSS004339| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.62904 [0.5093, 0.74878] | R²: 0.04535 Incremental AUROC (full-covars): -0.00864 PGS R2 (no covariates): 0.00044 PGS AUROC (no covariates): 0.51081 [0.37987, 0.64174] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009025 | PGS001306 (GBE_HC201) |
PSS004340| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.89429 [0.79357, 0.99502] | R²: 0.20499 Incremental AUROC (full-covars): -0.0033 PGS R2 (no covariates): 2e-05 PGS AUROC (no covariates): 0.49111 [0.35854, 0.62368] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009026 | PGS001306 (GBE_HC201) |
PSS004341| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.66162 [0.6277, 0.69554] | R²: 0.03336 Incremental AUROC (full-covars): 0.04247 PGS R2 (no covariates): 0.02036 PGS AUROC (no covariates): 0.63006 [0.5958, 0.66432] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009027 | PGS001306 (GBE_HC201) |
PSS004342| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.67522 [0.62537, 0.72506] | R²: 0.03696 Incremental AUROC (full-covars): 0.01011 PGS R2 (no covariates): 0.00545 PGS AUROC (no covariates): 0.56552 [0.50815, 0.62289] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009028 | PGS001306 (GBE_HC201) |
PSS004343| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.6157 [0.59481, 0.63659] | PGS R2 (no covariates): 0.0193 R²: 0.01676 Incremental AUROC (full-covars): 0.08728 PGS AUROC (no covariates): 0.62452 [0.60374, 0.6453] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009029 | PGS001307 (GBE_HC1102) |
PSS004119| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.62873 [0.51002, 0.74744] | R²: 0.04344 Incremental AUROC (full-covars): -0.00895 PGS R2 (no covariates): 0.00027 PGS AUROC (no covariates): 0.50641 [0.39121, 0.62161] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009030 | PGS001307 (GBE_HC1102) |
PSS004120| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.89582 [0.79576, 0.99588] | R²: 0.20607 Incremental AUROC (full-covars): -0.00177 PGS R2 (no covariates): 0.00203 PGS AUROC (no covariates): 0.55433 [0.4473, 0.66136] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009031 | PGS001307 (GBE_HC1102) |
PSS004121| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.65578 [0.62353, 0.68804] | R²: 0.03272 Incremental AUROC (full-covars): 0.04212 PGS R2 (no covariates): 0.0169 PGS AUROC (no covariates): 0.6106 [0.57717, 0.64402] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009032 | PGS001307 (GBE_HC1102) |
PSS004122| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.66008 [0.61042, 0.70974] | R²: 0.03192 Incremental AUROC (full-covars): 0.00203 PGS R2 (no covariates): 0.0036 PGS AUROC (no covariates): 0.55808 [0.506, 0.61016] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009033 | PGS001307 (GBE_HC1102) |
PSS004123| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.63965 [0.62036, 0.65895] | R²: 0.02376 Incremental AUROC (full-covars): 0.1085 PGS R2 (no covariates): 0.02383 PGS AUROC (no covariates): 0.63847 [0.61861, 0.65833] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009034 | PGS001308 (GBE_HC321) |
PSS004437| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.79846 [0.71474, 0.88218] | R²: 0.07345 Incremental AUROC (full-covars): 0.0079 PGS R2 (no covariates): 0.01471 PGS AUROC (no covariates): 0.59027 [0.45551, 0.72504] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009035 | PGS001308 (GBE_HC321) |
PSS004438| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.75824 [0.55089, 0.96558] | R²: 0.05686 Incremental AUROC (full-covars): 0.00691 PGS R2 (no covariates): 0.0091 PGS AUROC (no covariates): 0.69794 [0.63241, 0.76347] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009036 | PGS001308 (GBE_HC321) |
PSS004439| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.77174 [0.71988, 0.82361] | R²: 0.07435 Incremental AUROC (full-covars): 0.01461 PGS R2 (no covariates): 0.01453 PGS AUROC (no covariates): 0.65693 [0.58901, 0.72485] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009037 | PGS001308 (GBE_HC321) |
PSS004440| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.8014 [0.74455, 0.85826] | R²: 0.08893 Incremental AUROC (full-covars): 0.00953 PGS R2 (no covariates): 0.03189 PGS AUROC (no covariates): 0.61034 [0.48809, 0.73259] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009038 | PGS001308 (GBE_HC321) |
PSS004441| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.73313 [0.69647, 0.76978] | R²: 0.04771 Incremental AUROC (full-covars): 0.01551 PGS R2 (no covariates): 0.01074 PGS AUROC (no covariates): 0.60303 [0.55292, 0.65315] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009039 | PGS001309 (GBE_HC1212) |
PSS004193| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other rheumatoid arthritis | — | AUROC: 0.69751 [0.65515, 0.73988] | R²: 0.05129 Incremental AUROC (full-covars): -0.00017 PGS R2 (no covariates): 0.00056 PGS AUROC (no covariates): 0.52591 [0.47486, 0.57696] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009040 | PGS001309 (GBE_HC1212) |
PSS004194| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other rheumatoid arthritis | — | AUROC: 0.67331 [0.56418, 0.78244] | R²: 0.07058 Incremental AUROC (full-covars): -0.02511 PGS R2 (no covariates): 0.0 PGS AUROC (no covariates): 0.50714 [0.3797, 0.63457] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009041 | PGS001309 (GBE_HC1212) |
PSS004195| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other rheumatoid arthritis | — | AUROC: 0.6872 [0.66167, 0.71273] | R²: 0.04826 Incremental AUROC (full-covars): 0.02601 PGS R2 (no covariates): 0.01537 PGS AUROC (no covariates): 0.59782 [0.56885, 0.62679] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009042 | PGS001309 (GBE_HC1212) |
PSS004196| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other rheumatoid arthritis | — | AUROC: 0.70239 [0.66722, 0.73755] | R²: 0.06164 Incremental AUROC (full-covars): -0.00362 PGS R2 (no covariates): 0.00158 PGS AUROC (no covariates): 0.53481 [0.4923, 0.57731] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009043 | PGS001309 (GBE_HC1212) |
PSS004197| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other rheumatoid arthritis | — | AUROC: 0.66538 [0.65101, 0.67976] | R²: 0.03893 Incremental AUROC (full-covars): 0.03207 PGS R2 (no covariates): 0.01495 PGS AUROC (no covariates): 0.59784 [0.582, 0.61368] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009044 | PGS001310 (GBE_HC430) |
PSS004491| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.70522 [0.66309, 0.74736] | R²: 0.0544 Incremental AUROC (full-covars): 0.00203 PGS R2 (no covariates): 0.00109 PGS AUROC (no covariates): 0.53147 [0.47999, 0.58294] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009045 | PGS001310 (GBE_HC430) |
PSS004492| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66116 [0.54578, 0.77655] | R²: 0.06929 Incremental AUROC (full-covars): -0.02514 PGS R2 (no covariates): 0.00033 PGS AUROC (no covariates): 0.52178 [0.38366, 0.6599] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009046 | PGS001310 (GBE_HC430) |
PSS004493| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.68857 [0.6632, 0.71393] | R²: 0.04919 Incremental AUROC (full-covars): 0.02092 PGS R2 (no covariates): 0.01316 PGS AUROC (no covariates): 0.58714 [0.55751, 0.61676] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009047 | PGS001310 (GBE_HC430) |
PSS004494| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.70402 [0.66905, 0.73899] | R²: 0.06207 Incremental AUROC (full-covars): -0.0019 PGS R2 (no covariates): 0.00142 PGS AUROC (no covariates): 0.53137 [0.48984, 0.57291] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009048 | PGS001310 (GBE_HC430) |
PSS004495| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66508 [0.65049, 0.67967] | R²: 0.03894 Incremental AUROC (full-covars): 0.03077 PGS R2 (no covariates): 0.01509 PGS AUROC (no covariates): 0.60018 [0.58428, 0.61607] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009049 | PGS001311 (GBE_HC1211) |
PSS004188| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE seropositive rheumatoid arthritis | — | AUROC: 0.90345 [0.82233, 0.98457] | R²: 0.16794 Incremental AUROC (full-covars): -0.00669 PGS R2 (no covariates): 0.01613 PGS AUROC (no covariates): 0.39273 [0.11505, 0.67041] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009050 | PGS001311 (GBE_HC1211) |
PSS004190| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE seropositive rheumatoid arthritis | — | AUROC: 0.76787 [0.6839, 0.85184] | R²: 0.08412 Incremental AUROC (full-covars): 0.0418 PGS R2 (no covariates): 0.05847 PGS AUROC (no covariates): 0.73164 [0.63667, 0.82662] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009051 | PGS001311 (GBE_HC1211) |
PSS004191| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE seropositive rheumatoid arthritis | — | AUROC: 0.76865 [0.6608, 0.87651] | R²: 0.08089 Incremental AUROC (full-covars): -0.00731 PGS R2 (no covariates): 0.00567 PGS AUROC (no covariates): 0.50626 [0.35145, 0.66107] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009052 | PGS001311 (GBE_HC1211) |
PSS004192| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE seropositive rheumatoid arthritis | — | AUROC: 0.73785 [0.69634, 0.77936] | R²: 0.05309 Incremental AUROC (full-covars): 0.09202 PGS R2 (no covariates): 0.04612 PGS AUROC (no covariates): 0.7072 [0.65945, 0.75495] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009053 | PGS001312 (GBE_HC38) |
PSS004471| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriasis | — | AUROC: 0.73107 [0.60624, 0.85591] | R²: 0.06593 Incremental AUROC (full-covars): 0.0282 PGS R2 (no covariates): 0.01927 PGS AUROC (no covariates): 0.62557 [0.48848, 0.76266] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009054 | PGS001312 (GBE_HC38) |
PSS004472| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriasis | — | AUROC: 0.88867 [0.80531, 0.97202] | R²: 0.24575 Incremental AUROC (full-covars): 0.01187 PGS R2 (no covariates): 0.00399 PGS AUROC (no covariates): 0.57774 [0.40533, 0.75016] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009055 | PGS001312 (GBE_HC38) |
PSS004473| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriasis | — | AUROC: 0.68424 [0.65757, 0.71091] | R²: 0.05057 Incremental AUROC (full-covars): 0.0981 PGS R2 (no covariates): 0.04137 PGS AUROC (no covariates): 0.66409 [0.63596, 0.69222] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009056 | PGS001312 (GBE_HC38) |
PSS004474| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriasis | — | AUROC: 0.6849 [0.63397, 0.73584] | R²: 0.0448 Incremental AUROC (full-covars): 0.052 PGS R2 (no covariates): 0.02087 PGS AUROC (no covariates): 0.64825 [0.59861, 0.6979] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009057 | PGS001312 (GBE_HC38) |
PSS004475| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Psoriasis | — | AUROC: 0.69754 [0.68165, 0.71343] | R²: 0.05574 Incremental AUROC (full-covars): 0.14505 PGS R2 (no covariates): 0.05226 PGS AUROC (no covariates): 0.69158 [0.6754, 0.70775] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009058 | PGS001313 (GBE_HC1159) |
PSS004158| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE psoriasis | — | AUROC: 0.69906 [0.60273, 0.7954] | R²: 0.04185 Incremental AUROC (full-covars): 0.01899 PGS R2 (no covariates): 0.00732 PGS AUROC (no covariates): 0.62223 [0.54291, 0.70154] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009059 | PGS001313 (GBE_HC1159) |
PSS004159| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE psoriasis | — | AUROC: 0.72306 [0.61623, 0.82989] | R²: 0.09162 Incremental AUROC (full-covars): 0.00222 PGS R2 (no covariates): 0.00378 PGS AUROC (no covariates): 0.48492 [0.37014, 0.5997] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009060 | PGS001313 (GBE_HC1159) |
PSS004160| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE psoriasis | — | AUROC: 0.66545 [0.64532, 0.68558] | R²: 0.04468 Incremental AUROC (full-covars): 0.07449 PGS R2 (no covariates): 0.0337 PGS AUROC (no covariates): 0.64565 [0.62471, 0.66658] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009061 | PGS001313 (GBE_HC1159) |
PSS004161| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE psoriasis | — | AUROC: 0.63418 [0.59417, 0.67419] | R²: 0.0236 Incremental AUROC (full-covars): 0.05154 PGS R2 (no covariates): 0.0123 PGS AUROC (no covariates): 0.60455 [0.56482, 0.64428] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009062 | PGS001313 (GBE_HC1159) |
PSS004162| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE psoriasis | — | AUROC: 0.67543 [0.66285, 0.68801] | R²: 0.05117 Incremental AUROC (full-covars): 0.13853 PGS R2 (no covariates): 0.04966 PGS AUROC (no covariates): 0.6729 [0.66027, 0.68553] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009137 | PGS001330 (GBE_HC1101) |
PSS004114| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.66243 [0.55234, 0.77252] | R²: 0.05286 Incremental AUROC (full-covars): -0.02175 PGS R2 (no covariates): 0.00138 PGS AUROC (no covariates): 0.46272 [0.36718, 0.55826] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009138 | PGS001330 (GBE_HC1101) |
PSS004115| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.86369 [0.7806, 0.94678] | R²: 0.13339 Incremental AUROC (full-covars): 0.0 PGS R2 (no covariates): 0.14319 PGS AUROC (no covariates): 0.10664 [0.0, 0.28372] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009139 | PGS001330 (GBE_HC1101) |
PSS004116| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.60269 [0.55209, 0.65328] | R²: 0.01102 Incremental AUROC (full-covars): 0.02413 PGS R2 (no covariates): 0.00621 PGS AUROC (no covariates): 0.57593 [0.52318, 0.62867] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009140 | PGS001330 (GBE_HC1101) |
PSS004117| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.69933 [0.63548, 0.76318] | R²: 0.0344 Incremental AUROC (full-covars): 0.00201 PGS R2 (no covariates): 0.00147 PGS AUROC (no covariates): 0.53846 [0.46042, 0.6165] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009141 | PGS001330 (GBE_HC1101) |
PSS004118| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.55852 [0.52842, 0.58862] | R²: 0.00474 Incremental AUROC (full-covars): 0.07412 PGS R2 (no covariates): 0.00669 PGS AUROC (no covariates): 0.5714 [0.54073, 0.60207] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009142 | PGS001331 (GBE_HC322) |
PSS004442| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Crohns disease | — | AUROC: 0.65892 [0.54485, 0.77299] | R²: 0.05502 Incremental AUROC (full-covars): -0.02526 PGS R2 (no covariates): 4e-05 PGS AUROC (no covariates): 0.49152 [0.37858, 0.60446] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009143 | PGS001331 (GBE_HC322) |
PSS004444| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Crohns disease | — | AUROC: 0.61269 [0.55802, 0.66736] | R²: 0.01161 Incremental AUROC (full-covars): 0.02705 PGS R2 (no covariates): 0.00677 PGS AUROC (no covariates): 0.57919 [0.52051, 0.63786] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009144 | PGS001331 (GBE_HC322) |
PSS004445| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Crohns disease | — | AUROC: 0.71 [0.64649, 0.7735] | R²: 0.03928 Incremental AUROC (full-covars): 0.01378 PGS R2 (no covariates): 0.00366 PGS AUROC (no covariates): 0.56349 [0.47905, 0.64793] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009145 | PGS001331 (GBE_HC322) |
PSS004446| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Crohns disease | — | AUROC: 0.56362 [0.53297, 0.59427] | R²: 0.00529 Incremental AUROC (full-covars): 0.06267 PGS R2 (no covariates): 0.0063 PGS AUROC (no covariates): 0.57326 [0.54246, 0.60406] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM011712 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS009390| European Ancestry| 7,142 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0964 [0.0733, 0.1193] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009382 | PGS001810 (portability-PLR_200.1) |
PSS009280| European Ancestry| 19,539 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polycythemia vera | — | — | Partial Correlation (partial-r): 0.017 [0.003, 0.031] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009383 | PGS001810 (portability-PLR_200.1) |
PSS009054| European Ancestry| 4,052 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polycythemia vera | — | — | Partial Correlation (partial-r): 0.0195 [-0.0114, 0.0503] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009384 | PGS001810 (portability-PLR_200.1) |
PSS008608| European Ancestry| 6,489 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polycythemia vera | — | — | Partial Correlation (partial-r): 0.026 [0.0016, 0.0503] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009385 | PGS001810 (portability-PLR_200.1) |
PSS008384| Greater Middle Eastern Ancestry| 1,178 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polycythemia vera | — | — | Partial Correlation (partial-r): -0.0173 [-0.0748, 0.0404] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009386 | PGS001810 (portability-PLR_200.1) |
PSS008162| South Asian Ancestry| 6,171 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polycythemia vera | — | — | Partial Correlation (partial-r): -0.0038 [-0.0288, 0.0212] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009387 | PGS001810 (portability-PLR_200.1) |
PSS007949| East Asian Ancestry| 1,787 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Polycythemia vera | — | — | Partial Correlation (partial-r): -0.0072 [-0.0538, 0.0395] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009436 | PGS001817 (portability-PLR_250.1) |
PSS009287| European Ancestry| 18,975 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0752 [0.061, 0.0893] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009437 | PGS001817 (portability-PLR_250.1) |
PSS009061| European Ancestry| 3,954 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0684 [0.0372, 0.0994] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009438 | PGS001817 (portability-PLR_250.1) |
PSS008615| European Ancestry| 6,300 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0739 [0.0493, 0.0985] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009439 | PGS001817 (portability-PLR_250.1) |
PSS008391| Greater Middle Eastern Ancestry| 1,107 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0349 [-0.0246, 0.0941] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009440 | PGS001817 (portability-PLR_250.1) |
PSS008169| South Asian Ancestry| 5,228 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0224 [-0.0047, 0.0496] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009441 | PGS001817 (portability-PLR_250.1) |
PSS007956| East Asian Ancestry| 1,729 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0001 [-0.0475, 0.0474] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009442 | PGS001817 (portability-PLR_250.1) |
PSS007737| African Ancestry| 2,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0006 [-0.0426, 0.0414] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009443 | PGS001817 (portability-PLR_250.1) |
PSS008840| African Ancestry| 3,490 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0187 [-0.052, 0.0146] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009541 | PGS001831 (portability-PLR_335) |
PSS009301| European Ancestry| 19,299 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0367 [0.0226, 0.0508] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009542 | PGS001831 (portability-PLR_335) |
PSS009075| European Ancestry| 4,011 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0122 [-0.0188, 0.0432] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009543 | PGS001831 (portability-PLR_335) |
PSS008629| European Ancestry| 6,463 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0578 [0.0334, 0.0821] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009544 | PGS001831 (portability-PLR_335) |
PSS008403| Greater Middle Eastern Ancestry| 1,164 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0242 [-0.0338, 0.082] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009545 | PGS001831 (portability-PLR_335) |
PSS008183| South Asian Ancestry| 6,094 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0064 [-0.0188, 0.0315] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009546 | PGS001831 (portability-PLR_335) |
PSS007749| African Ancestry| 2,390 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0032 [-0.037, 0.0435] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009547 | PGS001831 (portability-PLR_335) |
PSS008853| African Ancestry| 3,790 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): -0.0104 [-0.0423, 0.0216] | sex, age, birth date, deprivation index, 16 PCs | — |
| 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 | — |
| PPM009738 | PGS001856 (portability-PLR_557.1) |
PSS009331| European Ancestry| 16,106 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.1196 [0.1043, 0.1348] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009739 | PGS001856 (portability-PLR_557.1) |
PSS009105| European Ancestry| 3,509 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0779 [0.0448, 0.1108] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009740 | PGS001856 (portability-PLR_557.1) |
PSS008659| European Ancestry| 5,445 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.097 [0.0706, 0.1233] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009741 | PGS001856 (portability-PLR_557.1) |
PSS008433| Greater Middle Eastern Ancestry| 998 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0652 [0.0025, 0.1273] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009742 | PGS001856 (portability-PLR_557.1) |
PSS008213| South Asian Ancestry| 5,277 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0535 [0.0265, 0.0805] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009743 | PGS001856 (portability-PLR_557.1) |
PSS007778| African Ancestry| 2,091 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0261 [-0.017, 0.0691] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009744 | PGS001856 (portability-PLR_557.1) |
PSS008882| African Ancestry| 3,455 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.028 [-0.0054, 0.0614] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009849 | PGS001870 (portability-PLR_695.4) |
PSS009346| European Ancestry| 19,585 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.0184 [0.0043, 0.0324] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009850 | PGS001870 (portability-PLR_695.4) |
PSS009120| European Ancestry| 4,047 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.021 [-0.0099, 0.0518] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009851 | PGS001870 (portability-PLR_695.4) |
PSS008674| European Ancestry| 6,535 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0073 [-0.0315, 0.017] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009852 | PGS001870 (portability-PLR_695.4) |
PSS008448| Greater Middle Eastern Ancestry| 1,184 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0184 [-0.0757, 0.0391] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009854 | PGS001870 (portability-PLR_695.4) |
PSS008009| East Asian Ancestry| 1,785 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.0023 [-0.0444, 0.0489] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009855 | PGS001870 (portability-PLR_695.4) |
PSS007793| African Ancestry| 2,428 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0163 [-0.0562, 0.0236] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009856 | PGS001870 (portability-PLR_695.4) |
PSS008897| African Ancestry| 3,872 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0061 [-0.0377, 0.0255] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009857 | PGS001871 (portability-PLR_696.4) |
PSS009347| European Ancestry| 19,615 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Psoriasis | — | — | Partial Correlation (partial-r): 0.0636 [0.0497, 0.0775] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009858 | PGS001871 (portability-PLR_696.4) |
PSS009121| European Ancestry| 4,059 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Psoriasis | — | — | Partial Correlation (partial-r): 0.107 [0.0764, 0.1374] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009859 | PGS001871 (portability-PLR_696.4) |
PSS008675| European Ancestry| 6,554 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Psoriasis | — | — | Partial Correlation (partial-r): 0.0404 [0.0162, 0.0646] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009860 | PGS001871 (portability-PLR_696.4) |
PSS008449| Greater Middle Eastern Ancestry| 1,183 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Psoriasis | — | — | Partial Correlation (partial-r): 0.0463 [-0.0112, 0.1035] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009861 | PGS001871 (portability-PLR_696.4) |
PSS008229| South Asian Ancestry| 6,161 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Psoriasis | — | — | Partial Correlation (partial-r): 0.0327 [0.0077, 0.0577] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009862 | PGS001871 (portability-PLR_696.4) |
PSS008010| East Asian Ancestry| 1,784 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Psoriasis | — | — | Partial Correlation (partial-r): 0.0079 [-0.0388, 0.0545] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009863 | PGS001871 (portability-PLR_696.4) |
PSS007794| African Ancestry| 2,398 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Psoriasis | — | — | Partial Correlation (partial-r): 0.0357 [-0.0045, 0.0757] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009864 | PGS001871 (portability-PLR_696.4) |
PSS008898| African Ancestry| 3,834 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Psoriasis | — | — | Partial Correlation (partial-r): -0.0065 [-0.0382, 0.0252] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009888 | PGS001875 (portability-PLR_714.1) |
PSS009352| European Ancestry| 18,393 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0416 [0.0272, 0.056] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009889 | PGS001875 (portability-PLR_714.1) |
PSS009126| European Ancestry| 3,878 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0554 [0.0239, 0.0868] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009890 | PGS001875 (portability-PLR_714.1) |
PSS008680| European Ancestry| 6,241 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0322 [0.0073, 0.057] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009891 | PGS001875 (portability-PLR_714.1) |
PSS008454| Greater Middle Eastern Ancestry| 1,128 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0363 [-0.0226, 0.095] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009892 | PGS001875 (portability-PLR_714.1) |
PSS008234| South Asian Ancestry| 5,728 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0097 [-0.0163, 0.0356] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009893 | PGS001875 (portability-PLR_714.1) |
PSS008014| East Asian Ancestry| 1,754 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0277 [-0.0194, 0.0746] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009894 | PGS001875 (portability-PLR_714.1) |
PSS007799| African Ancestry| 2,277 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): -0.0138 [-0.055, 0.0275] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009896 | PGS001876 (portability-PLR_715.2) |
PSS009353| European Ancestry| 18,262 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.0797 [0.0653, 0.0941] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009897 | PGS001876 (portability-PLR_715.2) |
PSS009127| European Ancestry| 3,854 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.0453 [0.0137, 0.0769] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009898 | PGS001876 (portability-PLR_715.2) |
PSS008681| European Ancestry| 6,216 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.0521 [0.0272, 0.0769] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009899 | PGS001876 (portability-PLR_715.2) |
PSS008455| Greater Middle Eastern Ancestry| 1,124 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.1472 [0.0889, 0.2044] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009900 | PGS001876 (portability-PLR_715.2) |
PSS008235| South Asian Ancestry| 5,671 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.0279 [0.0019, 0.054] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009964 | PGS001885 (portability-PLR_960.2) |
PSS009362| European Ancestry| 19,352 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Allergy/adverse effect of penicillin | — | — | Partial Correlation (partial-r): 0.0296 [0.0155, 0.0436] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009966 | PGS001885 (portability-PLR_960.2) |
PSS008690| European Ancestry| 6,493 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Allergy/adverse effect of penicillin | — | — | Partial Correlation (partial-r): 0.0196 [-0.0047, 0.044] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009967 | PGS001885 (portability-PLR_960.2) |
PSS008464| Greater Middle Eastern Ancestry| 1,172 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Allergy/adverse effect of penicillin | — | — | Partial Correlation (partial-r): -0.0358 [-0.0933, 0.022] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009968 | PGS001885 (portability-PLR_960.2) |
PSS008244| South Asian Ancestry| 6,180 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Allergy/adverse effect of penicillin | — | — | Partial Correlation (partial-r): -0.0111 [-0.036, 0.0139] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009969 | PGS001885 (portability-PLR_960.2) |
PSS008022| East Asian Ancestry| 1,773 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Allergy/adverse effect of penicillin | — | — | Partial Correlation (partial-r): -0.0272 [-0.0739, 0.0196] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009970 | PGS001885 (portability-PLR_960.2) |
PSS007808| African Ancestry| 2,406 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Allergy/adverse effect of penicillin | — | — | Partial Correlation (partial-r): 0.0141 [-0.0261, 0.0542] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009971 | PGS001885 (portability-PLR_960.2) |
PSS008912| African Ancestry| 3,818 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Allergy/adverse effect of penicillin | — | — | Partial Correlation (partial-r): 0.0003 [-0.0315, 0.0321] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010037 | PGS001894 (portability-PLR_celiac_gluten) |
PSS009164| European Ancestry| 1,354 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0796 [0.026, 0.1327] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010038 | PGS001894 (portability-PLR_celiac_gluten) |
PSS008718| European Ancestry| 2,442 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0358 [-0.0041, 0.0755] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010039 | PGS001894 (portability-PLR_celiac_gluten) |
PSS008492| Greater Middle Eastern Ancestry| 208 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0295 [-0.1141, 0.1719] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010040 | PGS001894 (portability-PLR_celiac_gluten) |
PSS008270| South Asian Ancestry| 908 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0219 [-0.0439, 0.0876] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010041 | PGS001894 (portability-PLR_celiac_gluten) |
PSS007834| African Ancestry| 400 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): -0.0127 [-0.1132, 0.088] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010042 | PGS001894 (portability-PLR_celiac_gluten) |
PSS008938| African Ancestry| 526 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0162 [-0.0711, 0.1032] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011074 | PGS002025 (portability-ldpred2_250.1) |
PSS009287| European Ancestry| 18,975 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0824 [0.0682, 0.0965] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011075 | PGS002025 (portability-ldpred2_250.1) |
PSS009061| European Ancestry| 3,954 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0666 [0.0354, 0.0976] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011076 | PGS002025 (portability-ldpred2_250.1) |
PSS008615| European Ancestry| 6,300 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0719 [0.0472, 0.0964] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011077 | PGS002025 (portability-ldpred2_250.1) |
PSS008391| Greater Middle Eastern Ancestry| 1,107 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0529 [-0.0066, 0.112] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011078 | PGS002025 (portability-ldpred2_250.1) |
PSS008169| South Asian Ancestry| 5,228 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0228 [-0.0044, 0.0499] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011079 | PGS002025 (portability-ldpred2_250.1) |
PSS007956| East Asian Ancestry| 1,729 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0048 [-0.0522, 0.0427] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011080 | PGS002025 (portability-ldpred2_250.1) |
PSS007737| African Ancestry| 2,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0089 [-0.0331, 0.0509] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011081 | PGS002025 (portability-ldpred2_250.1) |
PSS008840| African Ancestry| 3,490 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.013 [-0.0463, 0.0203] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011172 | PGS002038 (portability-ldpred2_335) |
PSS009075| European Ancestry| 4,011 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0083 [-0.0228, 0.0393] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011173 | PGS002038 (portability-ldpred2_335) |
PSS008629| European Ancestry| 6,463 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0447 [0.0203, 0.069] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011174 | PGS002038 (portability-ldpred2_335) |
PSS008403| Greater Middle Eastern Ancestry| 1,164 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0296 [-0.0284, 0.0874] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011175 | PGS002038 (portability-ldpred2_335) |
PSS008183| South Asian Ancestry| 6,094 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0149 [-0.0103, 0.04] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011176 | PGS002038 (portability-ldpred2_335) |
PSS007749| African Ancestry| 2,390 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.006 [-0.0343, 0.0463] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011177 | PGS002038 (portability-ldpred2_335) |
PSS008853| African Ancestry| 3,790 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): -0.0243 [-0.0561, 0.0077] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011398 | PGS002067 (portability-ldpred2_557.1) |
PSS009331| European Ancestry| 16,106 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.1241 [0.1088, 0.1393] | sex, age, birth date, deprivation index, 16 PCs | — |
| 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 | — |
| PPM011400 | PGS002067 (portability-ldpred2_557.1) |
PSS008659| European Ancestry| 5,445 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0979 [0.0714, 0.1242] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011401 | PGS002067 (portability-ldpred2_557.1) |
PSS008433| Greater Middle Eastern Ancestry| 998 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0718 [0.0092, 0.1339] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011402 | PGS002067 (portability-ldpred2_557.1) |
PSS008213| South Asian Ancestry| 5,277 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0512 [0.0242, 0.0781] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011403 | PGS002067 (portability-ldpred2_557.1) |
PSS007778| African Ancestry| 2,091 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0094 [-0.0337, 0.0525] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011404 | PGS002067 (portability-ldpred2_557.1) |
PSS008882| African Ancestry| 3,455 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0241 [-0.0093, 0.0575] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011517 | PGS002082 (portability-ldpred2_695.4) |
PSS009346| European Ancestry| 19,585 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.0212 [0.0072, 0.0352] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011518 | PGS002082 (portability-ldpred2_695.4) |
PSS009120| European Ancestry| 4,047 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.0268 [-0.0041, 0.0577] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011519 | PGS002082 (portability-ldpred2_695.4) |
PSS008674| European Ancestry| 6,535 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0096 [-0.0338, 0.0147] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011520 | PGS002082 (portability-ldpred2_695.4) |
PSS008448| Greater Middle Eastern Ancestry| 1,184 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0045 [-0.0619, 0.053] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011521 | PGS002082 (portability-ldpred2_695.4) |
PSS008228| South Asian Ancestry| 6,185 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.005 [-0.0199, 0.03] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011522 | PGS002082 (portability-ldpred2_695.4) |
PSS008009| East Asian Ancestry| 1,785 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.0076 [-0.0391, 0.0543] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011523 | PGS002082 (portability-ldpred2_695.4) |
PSS007793| African Ancestry| 2,428 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0113 [-0.0512, 0.0287] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011524 | PGS002082 (portability-ldpred2_695.4) |
PSS008897| African Ancestry| 3,872 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): -0.0062 [-0.0378, 0.0254] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011525 | PGS002083 (portability-ldpred2_696.4) |
PSS009347| European Ancestry| 19,615 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Psoriasis | — | — | Partial Correlation (partial-r): 0.0632 [0.0493, 0.0771] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011526 | PGS002083 (portability-ldpred2_696.4) |
PSS009121| European Ancestry| 4,059 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Psoriasis | — | — | Partial Correlation (partial-r): 0.1153 [0.0847, 0.1456] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011527 | PGS002083 (portability-ldpred2_696.4) |
PSS008675| European Ancestry| 6,554 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Psoriasis | — | — | Partial Correlation (partial-r): 0.041 [0.0168, 0.0652] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011529 | PGS002083 (portability-ldpred2_696.4) |
PSS008229| South Asian Ancestry| 6,161 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Psoriasis | — | — | Partial Correlation (partial-r): 0.03 [0.005, 0.055] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011530 | PGS002083 (portability-ldpred2_696.4) |
PSS008010| East Asian Ancestry| 1,784 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Psoriasis | — | — | Partial Correlation (partial-r): 0.0119 [-0.0348, 0.0585] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011531 | PGS002083 (portability-ldpred2_696.4) |
PSS007794| African Ancestry| 2,398 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Psoriasis | — | — | Partial Correlation (partial-r): 0.0375 [-0.0027, 0.0776] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011532 | PGS002083 (portability-ldpred2_696.4) |
PSS008898| African Ancestry| 3,834 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Psoriasis | — | — | Partial Correlation (partial-r): -0.0166 [-0.0483, 0.0152] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011564 | PGS002088 (portability-ldpred2_714.1) |
PSS009352| European Ancestry| 18,393 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0434 [0.029, 0.0578] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011565 | PGS002088 (portability-ldpred2_714.1) |
PSS009126| European Ancestry| 3,878 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0532 [0.0217, 0.0846] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011566 | PGS002088 (portability-ldpred2_714.1) |
PSS008680| European Ancestry| 6,241 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0284 [0.0036, 0.0532] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011568 | PGS002088 (portability-ldpred2_714.1) |
PSS008234| South Asian Ancestry| 5,728 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0135 [-0.0125, 0.0394] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011569 | PGS002088 (portability-ldpred2_714.1) |
PSS008014| East Asian Ancestry| 1,754 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0226 [-0.0245, 0.0696] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011570 | PGS002088 (portability-ldpred2_714.1) |
PSS007799| African Ancestry| 2,277 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): -0.0007 [-0.0419, 0.0406] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011571 | PGS002088 (portability-ldpred2_714.1) |
PSS008903| African Ancestry| 3,634 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): -0.0214 [-0.054, 0.0112] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011572 | PGS002089 (portability-ldpred2_715.2) |
PSS009353| European Ancestry| 18,262 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.0919 [0.0775, 0.1063] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011573 | PGS002089 (portability-ldpred2_715.2) |
PSS009127| European Ancestry| 3,854 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.0476 [0.016, 0.0791] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011574 | PGS002089 (portability-ldpred2_715.2) |
PSS008681| European Ancestry| 6,216 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.0596 [0.0348, 0.0844] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011576 | PGS002089 (portability-ldpred2_715.2) |
PSS008235| South Asian Ancestry| 5,671 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.0424 [0.0163, 0.0684] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011632 | PGS002097 (portability-ldpred2_960.2) |
PSS009362| European Ancestry| 19,352 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Allergy/adverse effect of penicillin | — | — | Partial Correlation (partial-r): 0.0397 [0.0256, 0.0537] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011633 | PGS002097 (portability-ldpred2_960.2) |
PSS009136| European Ancestry| 4,025 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Allergy/adverse effect of penicillin | — | — | Partial Correlation (partial-r): 0.0394 [0.0085, 0.0703] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011635 | PGS002097 (portability-ldpred2_960.2) |
PSS008464| Greater Middle Eastern Ancestry| 1,172 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Allergy/adverse effect of penicillin | — | — | Partial Correlation (partial-r): -0.0396 [-0.0971, 0.0182] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011636 | PGS002097 (portability-ldpred2_960.2) |
PSS008244| South Asian Ancestry| 6,180 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Allergy/adverse effect of penicillin | — | — | Partial Correlation (partial-r): 0.0264 [0.0015, 0.0514] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011637 | PGS002097 (portability-ldpred2_960.2) |
PSS008022| East Asian Ancestry| 1,773 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Allergy/adverse effect of penicillin | — | — | Partial Correlation (partial-r): -0.0013 [-0.0481, 0.0455] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011638 | PGS002097 (portability-ldpred2_960.2) |
PSS007808| African Ancestry| 2,406 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Allergy/adverse effect of penicillin | — | — | Partial Correlation (partial-r): -0.0128 [-0.0529, 0.0273] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011639 | PGS002097 (portability-ldpred2_960.2) |
PSS008912| African Ancestry| 3,818 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Allergy/adverse effect of penicillin | — | — | Partial Correlation (partial-r): 0.0043 [-0.0275, 0.0361] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011713 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS009164| European Ancestry| 1,354 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0848 [0.0313, 0.1379] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011714 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS008718| European Ancestry| 2,442 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.041 [0.0012, 0.0807] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011715 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS008492| Greater Middle Eastern Ancestry| 208 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0206 [-0.1229, 0.1632] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011716 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS008270| South Asian Ancestry| 908 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0237 [-0.0422, 0.0893] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011717 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS007834| African Ancestry| 400 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): -0.0242 [-0.1245, 0.0766] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011718 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS008938| African Ancestry| 526 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0172 [-0.0701, 0.1042] | sex, age, birth date, deprivation index, 16 PCs | — |
| 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 | — |
| PPM009853 | PGS001870 (portability-PLR_695.4) |
PSS008228| South Asian Ancestry| 6,185 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lupus (localized and systemic) | — | — | Partial Correlation (partial-r): 0.0029 [-0.0221, 0.0278] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009895 | PGS001875 (portability-PLR_714.1) |
PSS008903| African Ancestry| 3,634 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): -0.0251 [-0.0577, 0.0075] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009965 | PGS001885 (portability-PLR_960.2) |
PSS009136| European Ancestry| 4,025 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Allergy/adverse effect of penicillin | — | — | Partial Correlation (partial-r): 0.0128 [-0.0182, 0.0437] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010036 | PGS001894 (portability-PLR_celiac_gluten) |
PSS009390| European Ancestry| 7,142 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0993 [0.0763, 0.1223] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011171 | PGS002038 (portability-ldpred2_335) |
PSS009301| European Ancestry| 19,299 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0396 [0.0255, 0.0536] | sex, age, birth date, deprivation index, 16 PCs | — |
| 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 | — |
| PPM011399 | PGS002067 (portability-ldpred2_557.1) |
PSS009105| European Ancestry| 3,509 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0695 [0.0364, 0.1024] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011528 | PGS002083 (portability-ldpred2_696.4) |
PSS008449| Greater Middle Eastern Ancestry| 1,183 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Psoriasis | — | — | Partial Correlation (partial-r): 0.0458 [-0.0117, 0.1031] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011567 | PGS002088 (portability-ldpred2_714.1) |
PSS008454| Greater Middle Eastern Ancestry| 1,128 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | — | Partial Correlation (partial-r): 0.0403 [-0.0186, 0.099] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011575 | PGS002089 (portability-ldpred2_715.2) |
PSS008455| Greater Middle Eastern Ancestry| 1,124 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankylosing spondylitis | — | — | Partial Correlation (partial-r): 0.1631 [0.1051, 0.22] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011634 | PGS002097 (portability-ldpred2_960.2) |
PSS008690| European Ancestry| 6,493 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Allergy/adverse effect of penicillin | — | — | Partial Correlation (partial-r): 0.0313 [0.0069, 0.0556] | sex, age, birth date, deprivation index, 16 PCs | — |
| 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] | — | — | — |
| 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) | — |
| PPM013020 | PGS002293 (PRS62_psoriasis) |
PSS009651| European Ancestry| 345,672 individuals |
PGP000323 | Shen M et al. J Am Acad Dermatol (2022) |
Reported Trait: Incident psoriasis | HR: 4.625 [2.92, 7.348] | — | Odds Ratio (OR, poor lifestyle and high genetic risk): 4.625 [2.92, 7.348] Population-attributable fraction of genetic risk: 0.13 [0.032, 0.218] |
Age, sex, education, Townsend Index, and region, relatedness, number of alleles included in the polygenic risk score, and first 20 principal components of ancestry | — |
| PPM014749 | PGS002726 (PGS_MS_Brain) |
PSS009883| European Ancestry| 253,419 individuals |
PGP000334 | Shams H et al. Brain (2022) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.73 [0.72, 0.74] | Odds ratio (OR, top 10% vs median): 5.3 [4.7, 6.0] | — | — |
| PPM014750 | PGS002726 (PGS_MS_Brain) |
PSS009882| European Ancestry| 938 individuals |
PGP000334 | Shams H et al. Brain (2022) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.8 [0.76, 0.82] | Odds ratio (OR, top 10% vs median): 15.0 [10.4, 24.0] | — | — |
| PPM014801 | PGS000024 (GRS2) |
PSS009895| European Ancestry| 1,168 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.864 [0.823, 0.905] | — | — | — |
| PPM012970 | PGS002281 (PRS23_MM) |
PSS009636| European Ancestry| 2,395 individuals |
PGP000310 | Canzian F et al. Eur J Hum Genet (2021) |
Reported Trait: Multiple myeloma | — | AUROC: 0.644 [0.622, 0.666] | Odds Ratio (OR, highest vs lowest quintiles): 3.18 [2.34, 4.33] | Age, sex, and geographic region of origin | Unweighted score (100% call rate) |
| PPM012971 | PGS002281 (PRS23_MM) |
PSS009636| European Ancestry| 2,395 individuals |
PGP000310 | Canzian F et al. Eur J Hum Genet (2021) |
Reported Trait: Multiple myeloma | — | AUROC: 0.628 [0.605, 0.65] | Odds Ratio (OR, highest vs lowest quintiles): 3.44 [2.53, 4.69] | Age, sex, and geographic region of origin | Weighted score (100% call rate) |
| PPM014803 | PGS000024 (GRS2) |
PSS009893| African Ancestry| 366 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.851 [0.805, 0.897] | — | — | — |
| PPM014805 | PGS000024 (GRS2) |
PSS009894| Hispanic or Latin American Ancestry| 412 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.935 [0.906, 0.964] | — | — | — |
| PPM014807 | PGS000024 (GRS2) |
PSS009896| Ancestry Not Reported| 99 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.79 [0.679, 0.902] | — | — | — |
| PPM013032 | PGS002303 (PRS9_DLBCL) |
PSS009657| European Ancestry| 308 individuals |
PGP000328 | Choi J et al. Int J Cancer (2020) |
Reported Trait: Diffuse large B-cell lymphoma | — | AUROC: 0.56 [0.53, 0.6] | — | — | — |
| PPM013033 | PGS002304 (PRS6_FL) |
PSS009658| European Ancestry| 197 individuals |
PGP000328 | Choi J et al. Int J Cancer (2020) |
Reported Trait: Follicular lymphoma | — | AUROC: 0.61 [0.59, 0.63] | — | — | — |
| PPM013035 | PGS002306 (PRS23_MM) |
PSS009659| European Ancestry| 290 individuals |
PGP000328 | Choi J et al. Int J Cancer (2020) |
Reported Trait: Multiple myeloma | — | AUROC: 0.69 [0.64, 0.7] | — | — | — |
| PPM013040 | PGS002303 (PRS9_DLBCL) |
PSS009657| European Ancestry| 308 individuals |
PGP000328 | Choi J et al. Int J Cancer (2020) |
Reported Trait: Diffuse large B-cell lymphoma | — | — | Hazard ratio (HR top 5% vs average): 1.6 [1.01, 2.54] | Age, birth cohort, genotyping array, top 10 PCs for ancestry and sex (for nonsex specific cancer only) | — |
| PPM013041 | PGS002304 (PRS6_FL) |
PSS009658| European Ancestry| 197 individuals |
PGP000328 | Choi J et al. Int J Cancer (2020) |
Reported Trait: Follicular lymphoma | — | — | Hazard ratio (HR top 5% vs average): 2.33 [1.38, 3.93] | Age, birth cohort, genotyping array, top 10 PCs for ancestry and sex (for nonsex specific cancer only) | — |
| PPM013043 | PGS002306 (PRS23_MM) |
PSS009659| European Ancestry| 290 individuals |
PGP000328 | Choi J et al. Int J Cancer (2020) |
Reported Trait: Multiple myeloma | — | — | Hazard ratio (HR top 5% vs average): 2.41 [1.56, 3.72] | Age, birth cohort, genotyping array, top 10 PCs for ancestry and sex (for nonsex specific cancer only) | — |
| PPM014955 | PGS002755 (Atopic_dermatitis_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Atopic dermatitis | OR: 1.28 [1.21, 1.34] | — | — | age, sex, 10 PCs, technical covariates | — |
| PPM014915 | PGS002745 (metaPGS_RA) |
PSS009927| Multi-ancestry (including European)| 7,460 individuals |
PGP000357 | Ishigaki K et al. Nat Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.65 | Liability R2: 0.054 | Sex, Genotype PCs | Performance metrics are the mean values across eave-one-cohort-out cross-validation folds |
| PPM014916 | PGS002745 (metaPGS_RA) |
PSS009930| European Ancestry| 3,887 individuals |
PGP000357 | Ishigaki K et al. Nat Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66 | Liability R2: 0.059 | Sex, Genotype PCs | Performance metrics are the mean values across eave-one-cohort-out cross-validation folds |
| PPM014917 | PGS002745 (metaPGS_RA) |
PSS009929| East Asian Ancestry| 21,704 individuals |
PGP000357 | Ishigaki K et al. Nat Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66 | Liability R2: 0.057 | Sex, Genotype PCs | Performance metrics are the mean values across eave-one-cohort-out cross-validation folds |
| PPM014918 | PGS002745 (metaPGS_RA) |
PSS009928| Multi-ancestry (excluding European)| 1,304 individuals |
PGP000357 | Ishigaki K et al. Nat Genet (2022) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.59 | Liability R2: 0.018 | Sex, Genotype PCs | Performance metrics are the mean values across eave-one-cohort-out cross-validation folds |
| PPM014969 | PGS002769 (Rheumatoid_arthritis_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Seropositive rheumatoid arthritis | OR: 1.72 [1.61, 1.83] | — | — | age, sex, 10 PCs, technical covariates | — |
| PPM017073 | PGS003420 (PRS100_PRScs) |
PSS010115| East Asian Ancestry| 1,298 individuals |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.7886 | — | — | — |
| PPM017074 | PGS003421 (PRS16_C+T) |
PSS010115| East Asian Ancestry| 1,298 individuals |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.7876 | — | — | — |
| PPM017075 | PGS003422 (PRS16_PRSice2) |
PSS010115| East Asian Ancestry| 1,298 individuals |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.7876 | — | — | — |
| PPM017076 | PGS003423 (PRS100_Lassosum) |
PSS010115| East Asian Ancestry| 1,298 individuals |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.7754 | — | — | — |
| PPM017077 | PGS003424 (PRS100_LDpred2) |
PSS010115| East Asian Ancestry| 1,298 individuals |
PGP000431 | Ko CL et al. J Transl Med (2022) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.7605 | — | — | — |
| PPM013077 | PGS002312 (disease_AID_ALL.BOLT-LMM) |
PSS009691| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0011 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013109 | PGS002344 (disease_PSORIASIS.BOLT-LMM) |
PSS009819| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013126 | PGS002312 (disease_AID_ALL.BOLT-LMM) |
PSS009692| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0015 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013158 | PGS002344 (disease_PSORIASIS.BOLT-LMM) |
PSS009820| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013175 | PGS002312 (disease_AID_ALL.BOLT-LMM) |
PSS009693| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0124 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013207 | PGS002344 (disease_PSORIASIS.BOLT-LMM) |
PSS009821| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.007 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013224 | PGS002312 (disease_AID_ALL.BOLT-LMM) |
PSS009694| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0073 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013256 | PGS002344 (disease_PSORIASIS.BOLT-LMM) |
PSS009822| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0035 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013271 | PGS002359 (disease_AID_ALL.BOLT-LMM-BBJ) |
PSS009691| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013294 | PGS002359 (disease_AID_ALL.BOLT-LMM-BBJ) |
PSS009692| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013317 | PGS002359 (disease_AID_ALL.BOLT-LMM-BBJ) |
PSS009693| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013340 | PGS002359 (disease_AID_ALL.BOLT-LMM-BBJ) |
PSS009694| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013365 | PGS002384 (disease_AID_ALL.P+T.0.0001) |
PSS009691| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013397 | PGS002416 (disease_PSORIASIS.P+T.0.0001) |
PSS009819| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0005 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013446 | PGS002416 (disease_PSORIASIS.P+T.0.0001) |
PSS009820| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013463 | PGS002384 (disease_AID_ALL.P+T.0.0001) |
PSS009693| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0013 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013495 | PGS002416 (disease_PSORIASIS.P+T.0.0001) |
PSS009821| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013512 | PGS002384 (disease_AID_ALL.P+T.0.0001) |
PSS009694| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013544 | PGS002416 (disease_PSORIASIS.P+T.0.0001) |
PSS009822| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013561 | PGS002433 (disease_AID_ALL.P+T.0.001) |
PSS009691| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013593 | PGS002465 (disease_PSORIASIS.P+T.0.001) |
PSS009819| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0003 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013610 | PGS002433 (disease_AID_ALL.P+T.0.001) |
PSS009692| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0009 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013642 | PGS002465 (disease_PSORIASIS.P+T.0.001) |
PSS009820| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013691 | PGS002465 (disease_PSORIASIS.P+T.0.001) |
PSS009821| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013708 | PGS002433 (disease_AID_ALL.P+T.0.001) |
PSS009694| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013740 | PGS002465 (disease_PSORIASIS.P+T.0.001) |
PSS009822| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013757 | PGS002482 (disease_AID_ALL.P+T.0.01) |
PSS009691| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013789 | PGS002514 (disease_PSORIASIS.P+T.0.01) |
PSS009819| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0003 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013806 | PGS002482 (disease_AID_ALL.P+T.0.01) |
PSS009692| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0008 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013838 | PGS002514 (disease_PSORIASIS.P+T.0.01) |
PSS009820| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013887 | PGS002514 (disease_PSORIASIS.P+T.0.01) |
PSS009821| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013904 | PGS002482 (disease_AID_ALL.P+T.0.01) |
PSS009694| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013936 | PGS002514 (disease_PSORIASIS.P+T.0.01) |
PSS009822| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013953 | PGS002531 (disease_AID_ALL.P+T.1e-06) |
PSS009691| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013985 | PGS002563 (disease_PSORIASIS.P+T.1e-06) |
PSS009819| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0004 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014002 | PGS002531 (disease_AID_ALL.P+T.1e-06) |
PSS009692| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0025 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014034 | PGS002563 (disease_PSORIASIS.P+T.1e-06) |
PSS009820| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014083 | PGS002563 (disease_PSORIASIS.P+T.1e-06) |
PSS009821| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014100 | PGS002531 (disease_AID_ALL.P+T.1e-06) |
PSS009694| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0025 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014132 | PGS002563 (disease_PSORIASIS.P+T.1e-06) |
PSS009822| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014149 | PGS002580 (disease_AID_ALL.P+T.5e-08) |
PSS009691| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0005 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014181 | PGS002612 (disease_PSORIASIS.P+T.5e-08) |
PSS009819| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0007 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014230 | PGS002612 (disease_PSORIASIS.P+T.5e-08) |
PSS009820| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014247 | PGS002580 (disease_AID_ALL.P+T.5e-08) |
PSS009693| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0034 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014279 | PGS002612 (disease_PSORIASIS.P+T.5e-08) |
PSS009821| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014296 | PGS002580 (disease_AID_ALL.P+T.5e-08) |
PSS009694| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0017 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014328 | PGS002612 (disease_PSORIASIS.P+T.5e-08) |
PSS009822| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014345 | PGS002629 (disease_AID_ALL.PolyFun-pred) |
PSS009691| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0011 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_AID_ALL.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014377 | PGS002661 (disease_PSORIASIS.PolyFun-pred) |
PSS009819| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_PSORIASIS.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014394 | PGS002629 (disease_AID_ALL.PolyFun-pred) |
PSS009692| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0013 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_AID_ALL.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014426 | PGS002661 (disease_PSORIASIS.PolyFun-pred) |
PSS009820| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_PSORIASIS.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014443 | PGS002629 (disease_AID_ALL.PolyFun-pred) |
PSS009693| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0126 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_AID_ALL.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014475 | PGS002661 (disease_PSORIASIS.PolyFun-pred) |
PSS009821| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.007 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_PSORIASIS.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014524 | PGS002661 (disease_PSORIASIS.PolyFun-pred) |
PSS009822| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0034 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_PSORIASIS.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014541 | PGS002678 (disease_AID_ALL.SBayesR) |
PSS009691| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014590 | PGS002678 (disease_AID_ALL.SBayesR) |
PSS009692| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0035 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014622 | PGS002710 (disease_PSORIASIS.SBayesR) |
PSS009820| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014639 | PGS002678 (disease_AID_ALL.SBayesR) |
PSS009693| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0087 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014671 | PGS002710 (disease_PSORIASIS.SBayesR) |
PSS009821| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0014 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014688 | PGS002678 (disease_AID_ALL.SBayesR) |
PSS009694| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0069 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014720 | PGS002710 (disease_PSORIASIS.SBayesR) |
PSS009822| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013414 | PGS002384 (disease_AID_ALL.P+T.0.0001) |
PSS009692| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0016 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013659 | PGS002433 (disease_AID_ALL.P+T.0.001) |
PSS009693| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013855 | PGS002482 (disease_AID_ALL.P+T.0.01) |
PSS009693| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014051 | PGS002531 (disease_AID_ALL.P+T.1e-06) |
PSS009693| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0039 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014198 | PGS002580 (disease_AID_ALL.P+T.5e-08) |
PSS009692| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model vs. covariates alone): 0.0015 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014492 | PGS002629 (disease_AID_ALL.PolyFun-pred) |
PSS009694| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Autoimmune disease | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0084 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_AID_ALL.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014573 | PGS002710 (disease_PSORIASIS.SBayesR) |
PSS009819| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Psoriasis | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM017224 | PGS003453 (PRS43_CLL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Chronic lymphocytic leukemia | OR: 2.17 [2.07, 2.28] | — | — | — | — |
| PPM017225 | PGS003454 (PRS5_DLBCL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Chronic lymphocytic leukemia | OR: 1.33 [1.14, 1.54] | — | — | — | — |
| PPM017226 | PGS003455 (PRS7_FL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Chronic lymphocytic leukemia | OR: 1.07 [0.98, 1.17] | — | — | — | — |
| PPM017227 | PGS003451 (PRS2_MZL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Chronic lymphocytic leukemia | OR: 1.26 [1.09, 1.46] | — | — | — | — |
| PPM017228 | PGS003452 (PRS2_WM) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Chronic lymphocytic leukemia | OR: 1.07 [1.01, 1.14] | — | — | — | — |
| PPM017229 | PGS003450 (PRS24_MM) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Chronic lymphocytic leukemia | OR: 1.09 [1.02, 1.16] | — | — | — | — |
| PPM017232 | PGS003453 (PRS43_CLL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Diffuse large B-cell lymphoma | OR: 1.17 [1.12, 1.22] | — | — | — | — |
| PPM017233 | PGS003454 (PRS5_DLBCL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Diffuse large B-cell lymphoma | OR: 2.69 [2.35, 3.08] | — | — | — | — |
| PPM017234 | PGS003455 (PRS7_FL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Diffuse large B-cell lymphoma | OR: 1.28 [1.19, 1.39] | — | — | — | — |
| PPM017235 | PGS003451 (PRS2_MZL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Diffuse large B-cell lymphoma | OR: 1.53 [1.34, 1.75] | — | — | — | — |
| PPM017236 | PGS003452 (PRS2_WM) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Diffuse large B-cell lymphoma | OR: 1.24 [1.18, 1.31] | — | — | — | — |
| PPM017237 | PGS003450 (PRS24_MM) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Diffuse large B-cell lymphoma | OR: 0.98 [0.93, 1.04] | — | — | — | — |
| PPM017240 | PGS003453 (PRS43_CLL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Follicular lymphoma | OR: 1.12 [1.07, 1.17] | — | — | — | — |
| PPM017242 | PGS003455 (PRS7_FL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Follicular lymphoma | OR: 2.77 [2.52, 3.04] | — | — | — | — |
| PPM017243 | PGS003451 (PRS2_MZL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Follicular lymphoma | OR: 1.39 [1.21, 1.61] | — | — | — | — |
| PPM017244 | PGS003452 (PRS2_WM) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Follicular lymphoma | OR: 1.12 [1.05, 1.19] | — | — | — | — |
| PPM017245 | PGS003450 (PRS24_MM) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Follicular lymphoma | OR: 1.01 [0.95, 1.09] | — | — | — | — |
| PPM017248 | PGS003453 (PRS43_CLL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Marginal zone lymphoma | OR: 1.15 [1.07, 1.24] | — | — | — | — |
| PPM017249 | PGS003454 (PRS5_DLBCL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Marginal zone lymphoma | OR: 2.1 [1.63, 2.72] | — | — | — | — |
| PPM017251 | PGS003451 (PRS2_MZL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Marginal zone lymphoma | OR: 2.43 [1.93, 3.06] | — | — | — | — |
| PPM017252 | PGS003452 (PRS2_WM) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Marginal zone lymphoma | OR: 1.18 [1.07, 1.3] | — | — | — | — |
| PPM017253 | PGS003450 (PRS24_MM) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Marginal zone lymphoma | OR: 1.05 [0.94, 1.18] | — | — | — | — |
| PPM017241 | PGS003454 (PRS5_DLBCL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Follicular lymphoma | OR: 1.66 [1.42, 1.94] | — | — | — | — |
| PPM017250 | PGS003455 (PRS7_FL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Marginal zone lymphoma | OR: 0.94 [0.81, 1.09] | — | — | — | — |
| PPM017413 | PGS003458 (PRS_AT) |
PSS010186| European Ancestry| 3,212 individuals |
PGP000451 | Al-Janabi A et al. J Invest Dermatol (2023) |
Reported Trait: Paradoxical eczema in biologic-treated psoriasis | OR: 2.24 [1.2, 4.17] | AUROC: 0.583 | — | PCs 1-2 | — |
| PPM017415 | PGS003487 (PRS_IL4) |
PSS010186| European Ancestry| 3,212 individuals |
PGP000451 | Al-Janabi A et al. J Invest Dermatol (2023) |
Reported Trait: Paradoxical eczema in biologic-treated psoriasis | OR: 2.08 [0.7, 6.06] | — | — | PCs 1-2 | — |
| PPM017416 | PGS003488 (PRS_IL12) |
PSS010186| European Ancestry| 3,212 individuals |
PGP000451 | Al-Janabi A et al. J Invest Dermatol (2023) |
Reported Trait: Paradoxical eczema in biologic-treated psoriasis | OR: 4.89 [1.03, 23.29] | — | — | PCs 1-2 | — |
| PPM017417 | PGS003489 (PRS_IL17) |
PSS010186| European Ancestry| 3,212 individuals |
PGP000451 | Al-Janabi A et al. J Invest Dermatol (2023) |
Reported Trait: Paradoxical eczema in biologic-treated psoriasis | OR: 1.55 [0.47, 5.14] | — | — | PCs 1-2 | — |
| PPM017412 | PGS003486 (PRS_AE) |
PSS010186| European Ancestry| 3,212 individuals |
PGP000451 | Al-Janabi A et al. J Invest Dermatol (2023) |
Reported Trait: Paradoxical eczema in biologic-treated psoriasis | OR: 1.89 [1.08, 3.3] | AUROC: 0.567 | — | PCs 1-2 | — |
| PPM017414 | PGS003459 (PRS_CO) |
PSS010186| European Ancestry| 3,212 individuals |
PGP000451 | Al-Janabi A et al. J Invest Dermatol (2023) |
Reported Trait: Paradoxical eczema in biologic-treated psoriasis | OR: 1.83 [1.17, 2.84] | AUROC: 0.585 | — | PCs 1-2 | — |
| PPM018525 | PGS003755 (wGRS_SLE) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Class III/IV lupus nephritis in anti-sm positive systemic lupus erythematosus | — | AUROC: 0.582 [0.496, 0.668] | — | — | — |
| PPM018437 | PGS000738 (CONFIRMED_PGS) |
PSS010969| European Ancestry| 4,945 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Fitzpatrick scale | β: 0.02234 | — | R²: 0.02897 | — | — |
| PPM018438 | PGS000738 (CONFIRMED_PGS) |
PSS010968| European Ancestry| 4,702 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Red hair | β: 0.69478 | — | pseudo R²: 0.03857 | — | — |
| PPM018435 | PGS000738 (CONFIRMED_PGS) |
PSS010977| European Ancestry| 4,987 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Freckles | β: -0.04382 | — | R²: 0.02103 | — | — |
| PPM018436 | PGS000738 (CONFIRMED_PGS) |
PSS010974| European Ancestry| 4,979 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Phototype score | β: 0.4039 | — | R²: 0.03252 | — | — |
| PPM018508 | PGS003749 (ModelT1D_under25) |
PSS011001| European Ancestry| 119,273 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Type 1 diabetes with age of diagnosis under 25 | — | AUROC: 0.797 | Nagelkerke R2: 0.099 | — | — |
| PPM018509 | PGS003750 (ModelT1D) |
PSS010999| European Ancestry| 120,028 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.64 | Nagelkerke R2: 0.014 | — | — |
| PPM018512 | PGS003749 (ModelT1D_under25) |
PSS011000| European Ancestry| 7,067 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Discrimination of Type 1 diabetes from Type 2 diabetes | — | AUROC: 0.792 | — | — | — |
| PPM018514 | PGS003749 (ModelT1D_under25) |
PSS010998| European Ancestry| 2,494 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Discrimination of Type 1 diabetes from Type 2 diabetes | — | AUROC: 0.686 | — | — | — |
| PPM018519 | PGS003755 (wGRS_SLE) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Childhood-onset systemic lupus erythematosus (onset at age <16 years) | — | — | p: 6.80e-08 | — | — |
| PPM018520 | PGS003755 (wGRS_SLE) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Number of American College of Rheumatology (ACR) criteria for systemic lupus erythematosus | β: 0.143 [0.078, 0.208] | — | — | Onset age, sex, disease duration, and top 4 principal components | — |
| PPM018521 | PGS003756 (wGRS_SLE_non-HLA) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Number of American College of Rheumatology (ACR) criteria for systemic lupus erythematosus | β: 0.133 [0.071, 0.194] | — | — | Onset age, sex, disease duration, and top 4 principal components | — |
| PPM018522 | PGS003757 (wGRS_SLE_HLA) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Number of American College of Rheumatology (ACR) criteria for systemic lupus erythematosus | β: 0.213 [0.079, 0.347] | — | — | Onset age, sex, disease duration, and top 4 principal components | — |
| PPM018523 | PGS003755 (wGRS_SLE) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Renal disorder | β: 1.22 [1.12, 1.33] | — | — | Onset age, sex, disease duration, and top 4 principal components | — |
| PPM018524 | PGS003755 (wGRS_SLE) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Production of anti-Sm antibody | β: 1.23 [1.11, 1.36] | — | — | Onset age, sex, disease duration, and top 4 principal components | — |
| PPM018526 | PGS003755 (wGRS_SLE) |
PSS011006| East Asian Ancestry| 1,655 individuals |
PGP000475 | Kwon YC et al. Arthritis Rheumatol (2023) |
Reported Trait: Class V lupus nephritis in anti-sm positive systemic lupus erythematosus | — | AUROC: 0.681 [0.602, 0.76] | — | — | — |
| PPM018532 | PGS000024 (GRS2) |
PSS011012| Multi-ancestry (including European)| 39,820 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.875 | — | — | — |
| PPM018533 | PGS000024 (GRS2) |
PSS011009| Multi-ancestry (including European)| 57,643 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.822 | — | — | — |
| PPM018534 | PGS000024 (GRS2) |
PSS011014| European Ancestry| 34,939 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.888 | — | — | — |
| PPM018535 | PGS000024 (GRS2) |
PSS011014| European Ancestry| 34,939 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.858 | — | — | — |
| PPM018536 | PGS000023 (AA_GRS) |
PSS011012| Multi-ancestry (including European)| 39,820 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.781 | — | — | — |
| PPM018537 | PGS000023 (AA_GRS) |
PSS011009| Multi-ancestry (including European)| 57,643 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.817 | — | — | — |
| PPM018538 | PGS000024 (GRS2) |
PSS011011| European Ancestry| 16,663 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 100.0 % PPV (reference): 86.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM018539 | PGS000023 (AA_GRS) |
PSS011011| European Ancestry| 16,663 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 97.0 % PPV (reference): 86.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM018540 | PGS000024 (GRS2) |
PSS011010| Multi-ancestry (excluding European)| 40,980 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 93.0 % PPV (reference): 71.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM018541 | PGS000023 (AA_GRS) |
PSS011010| Multi-ancestry (excluding European)| 40,980 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 86.0 % PPV (reference): 71.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM018542 | PGS000024 (GRS2) |
PSS011014| European Ancestry| 34,939 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 97.0 % PPV (reference): 71.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM018543 | PGS000023 (AA_GRS) |
PSS011013| Multi-ancestry (excluding European)| 4,881 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 83.0 % PPV (reference): 53.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM019115 | PGS003960 (GRS57_SLE) |
PSS011186| Multi-ancestry (including European)| 3,048 individuals |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.65 [0.63, 0.67] | — | — | — |
| PPM019116 | PGS003960 (GRS57_SLE) |
PSS011188| European Ancestry| 1,994 individuals |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.63 [0.6, 0.66] | — | — | — |
| PPM019117 | PGS003960 (GRS57_SLE) |
PSS011187| African Ancestry| 902 individuals |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.5 [0.44, 0.56] | — | — | — |
| PPM019118 | PGS003960 (GRS57_SLE) |
PSS011186| Multi-ancestry (including European)| 3,048 individuals |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.89 [0.87, 0.9] | — | phenotype risk score | — |
| PPM019119 | PGS003960 (GRS57_SLE) |
PSS011188| European Ancestry| 1,994 individuals |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.87 [0.85, 0.89] | — | phenotype risk score | — |
| PPM019120 | PGS003960 (GRS57_SLE) |
PSS011187| African Ancestry| 902 individuals |
PGP000509 | Barnado A et al. Arthritis Rheumatol (2023) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.89 [0.86, 0.93] | — | phenotype risk score | — |
| PPM019215 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | β: 0.31196 [0.26881857, 0.35510787] OR: 1.3661 [1.30841773, 1.42633451] |
AUROC: 0.5841 [0.57134989, 0.59684775] | R²: 0.01522 [0.01107929, 0.02001683] | 0 | beta = log(or)/sd_pgs |
| PPM019216 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 2.00709 [1.96176588, 2.05345818] β: 0.69669 [0.67384503, 0.71952529] |
AUROC: 0.68746 [0.68158682, 0.69333034] | R²: 0.07463 [0.06986494, 0.07986579] | 0 | beta = log(or)/sd_pgs |
| PPM019217 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.946 [1.77718979, 2.13085165] β: 0.66578 [0.57503335, 0.75652173] |
AUROC: 0.68641 [0.66260609, 0.71022055] | R²: 0.06759 [0.05044678, 0.08786643] | 0 | beta = log(or)/sd_pgs |
| PPM019218 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.55477 [1.48236145, 1.63071918] β: 0.44133 [0.39363639, 0.48902113] |
AUROC: 0.61939 [0.60573135, 0.63303932] | R²: 0.03025 [0.02378047, 0.03760108] | 0 | beta = log(or)/sd_pgs |
| PPM019219 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.71999 [1.47511022, 2.0055147] β: 0.54232 [0.38873271, 0.69590074] |
AUROC: 0.6425 [0.59742729, 0.68757268] | R²: 0.0438 [0.02149854, 0.07523503] | 0 | beta = log(or)/sd_pgs |
| PPM019220 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.96885 [1.86342403, 2.08023967] β: 0.67745 [0.62241567, 0.73248311] |
AUROC: 0.68458 [0.67015772, 0.69899497] | R²: 0.07025 [0.05946809, 0.08300365] | 0 | beta = log(or)/sd_pgs |
| PPM019221 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.24143 [1.1890805, 1.29609272] β: 0.21627 [0.17318032, 0.25935414] |
AUROC: 0.5594 [0.54677346, 0.57202583] | R²: 0.00733 [0.00469672, 0.0109081] | 0 | beta = log(or)/sd_pgs |
| PPM019222 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.63002 [1.5935273, 1.66734777] β: 0.48859 [0.46594999, 0.5112342] |
AUROC: 0.63362 [0.62744469, 0.6398007] | R²: 0.03693 [0.03355769, 0.04010996] | 0 | beta = log(or)/sd_pgs |
| PPM019223 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.40101 [1.27954934, 1.53399308] β: 0.33719 [0.24650793, 0.42787419] |
AUROC: 0.59819 [0.57207878, 0.62430301] | R²: 0.01724 [0.00885621, 0.02813182] | 0 | beta = log(or)/sd_pgs |
| PPM019224 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.35946 [1.29634357, 1.42565477] β: 0.30709 [0.25954766, 0.35463119] |
AUROC: 0.58383 [0.57020148, 0.59746167] | R²: 0.01467 [0.01061932, 0.01963868] | 0 | beta = log(or)/sd_pgs |
| PPM019225 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.34635 [1.1581509, 1.56512439] β: 0.29739 [0.14682468, 0.4479653] |
AUROC: 0.58604 [0.54086552, 0.63121275] | R²: 0.01358 [0.00269662, 0.03118075] | 0 | beta = log(or)/sd_pgs |
| PPM019226 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.59062 [1.50586312, 1.68013891] β: 0.46412 [0.40936624, 0.51887647] |
AUROC: 0.63057 [0.61590234, 0.64524535] | R²: 0.03306 [0.02613847, 0.04105459] | 0 | beta = log(or)/sd_pgs |
| PPM019227 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.27323 [1.21967118, 1.32913813] β: 0.24156 [0.19858129, 0.28453071] |
AUROC: 0.56331 [0.55078741, 0.57583681] | R²: 0.00919 [0.00605824, 0.01293261] | 0 | beta = log(or)/sd_pgs |
| PPM019228 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.74769 [1.7086833, 1.78757882] β: 0.55829 [0.53572307, 0.58086209] |
AUROC: 0.65206 [0.64593495, 0.65819504] | R²: 0.0487 [0.0447597, 0.05267419] | 0 | beta = log(or)/sd_pgs |
| PPM019229 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.51461 [1.38410957, 1.65740608] β: 0.41516 [0.32505702, 0.50525378] |
AUROC: 0.61455 [0.58868772, 0.64040227] | R²: 0.02651 [0.01531252, 0.04035993] | 0 | beta = log(or)/sd_pgs |
| PPM019230 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | β: 0.32913 [0.28177285, 0.37649644] OR: 1.38976 [1.3254776, 1.45717036] |
AUROC: 0.59091 [0.57724581, 0.60456431] | R²: 0.017 [0.01225794, 0.02225752] | 0 | beta = log(or)/sd_pgs |
| PPM019231 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.49325 [1.28229316, 1.73891334] β: 0.40096 [0.24865001, 0.5532604] |
AUROC: 0.61834 [0.57623728, 0.66044754] | R²: 0.02428 [0.00997456, 0.04475176] | 0 | beta = log(or)/sd_pgs |
| PPM019232 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.68525 [1.59605776, 1.77941882] β: 0.52191 [0.46753669, 0.57628681] |
AUROC: 0.64794 [0.63308648, 0.66280321] | R²: 0.0425 [0.03444371, 0.05202666] | 0 | beta = log(or)/sd_pgs |
| PPM019233 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.33244 [1.27636372, 1.39097687] β: 0.28701 [0.24401519, 0.33000628] |
AUROC: 0.57783 [0.56512605, 0.59053543] | R²: 0.01296 [0.00925469, 0.01730226] | 0 | beta = log(or)/sd_pgs |
| PPM019234 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.89729 [1.85459133, 1.94097411] β: 0.64043 [0.61766436, 0.66318997] |
AUROC: 0.67371 [0.66774486, 0.67966784] | R²: 0.06325 [0.05894778, 0.06769876] | 0 | beta = log(or)/sd_pgs |
| PPM019235 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.82983 [1.67934751, 1.99380176] β: 0.60422 [0.51840533, 0.69004325] |
AUROC: 0.67951 [0.6554003, 0.70362688] | R²: 0.06185 [0.04504691, 0.07994757] | 0 | beta = log(or)/sd_pgs |
| PPM019236 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.51174 [1.44162473, 1.58525957] β: 0.41326 [0.36577076, 0.46074816] |
AUROC: 0.61196 [0.59842833, 0.62548631] | R²: 0.02672 [0.02061732, 0.03338123] | 0 | beta = log(or)/sd_pgs |
| PPM019237 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.62008 [1.39671425, 1.87915576] β: 0.48247 [0.33412251, 0.63082261] |
AUROC: 0.63378 [0.58989144, 0.67766932] | R²: 0.03702 [0.01608167, 0.06421945] | 0 | beta = log(or)/sd_pgs |
| PPM019238 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.8704 [1.77207759, 1.97418775] β: 0.62615 [0.57215264, 0.68015705] |
AUROC: 0.6725 [0.65793656, 0.68706996] | R²: 0.06214 [0.05189291, 0.07413997] | 0 | beta = log(or)/sd_pgs |
| PPM019239 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.39728 [1.33826973, 1.45888609] β: 0.33453 [0.29137753, 0.37767319] |
AUROC: 0.58969 [0.57697326, 0.60241476] | R²: 0.0175 [0.01329075, 0.02253449] | 0 | beta = log(or)/sd_pgs |
| PPM019240 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 2.06398 [2.01727273, 2.11177148] β: 0.72464 [0.70174647, 0.74752716] |
AUROC: 0.69412 [0.68829262, 0.6999508] | R²: 0.08056 [0.07564214, 0.08580241] | 0 | beta = log(or)/sd_pgs |
| PPM019241 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.99477 [1.82406428, 2.18144982] β: 0.69053 [0.60106713, 0.77998971] |
AUROC: 0.69122 [0.66690515, 0.71553225] | R²: 0.07483 [0.05639993, 0.09713374] | 0 | beta = log(or)/sd_pgs |
| PPM019242 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.58122 [1.50767489, 1.65835467] β: 0.4582 [0.41056866, 0.50582595] |
AUROC: 0.62399 [0.61036586, 0.63760464] | R²: 0.03271 [0.02590824, 0.04030889] | 0 | beta = log(or)/sd_pgs |
| PPM019243 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.76291 [1.51418004, 2.05249596] β: 0.56697 [0.41487407, 0.7190566] |
AUROC: 0.64947 [0.60535278, 0.6935909] | R²: 0.04891 [0.02333466, 0.08167925] | 0 | beta = log(or)/sd_pgs |
| PPM019244 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 2.04212 [1.93274157, 2.15769853] β: 0.71399 [0.6589395, 0.76904216] |
AUROC: 0.69465 [0.68039548, 0.70890783] | R²: 0.07817 [0.06721383, 0.0918883] | 0 | beta = log(or)/sd_pgs |
| PPM019245 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.33765 [1.28124872, 1.39652797] β: 0.29091 [0.24783517, 0.33398913] |
AUROC: 0.57881 [0.56619924, 0.59141916] | R²: 0.01327 [0.00951776, 0.01750544] | 0 | beta = log(or)/sd_pgs |
| PPM019247 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.8584 [1.69570378, 2.03671362] β: 0.61972 [0.52809786, 0.71133754] |
AUROC: 0.67037 [0.64541857, 0.69532926] | R²: 0.05737 [0.04034006, 0.0772097] | 0 | beta = log(or)/sd_pgs |
| PPM019248 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.53371 [1.46233061, 1.60856652] β: 0.42769 [0.38003147, 0.47534342] |
AUROC: 0.61478 [0.60105563, 0.62849573] | R²: 0.02843 [0.02204494, 0.03592548] | 0 | beta = log(or)/sd_pgs |
| PPM019249 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.68556 [1.44596698, 1.96485528] β: 0.5221 [0.36877829, 0.67541859] |
AUROC: 0.64539 [0.6020922, 0.68868922] | R²: 0.04075 [0.01870039, 0.06894677] | 0 | beta = log(or)/sd_pgs |
| PPM019250 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.91118 [1.80890361, 2.01924795] β: 0.64772 [0.59272092, 0.70272514] |
AUROC: 0.67763 [0.6631321, 0.69213434] | R²: 0.06425 [0.05393186, 0.07625535] | 0 | beta = log(or)/sd_pgs |
| PPM019252 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.98269 [1.93792696, 2.02848131] β: 0.68445 [0.66161882, 0.70728739] |
AUROC: 0.68464 [0.67874717, 0.6905373] | R²: 0.072 [0.06730218, 0.0770144] | 0 | beta = log(or)/sd_pgs |
| PPM019253 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.96487 [1.79443565, 2.15148758] β: 0.67543 [0.58469057, 0.7661595] |
AUROC: 0.68609 [0.6621402, 0.71004923] | R²: 0.06963 [0.05194957, 0.09014172] | 0 | beta = log(or)/sd_pgs |
| PPM019254 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.53961 [1.46795237, 1.61475975] β: 0.43153 [0.38386848, 0.47918619] |
AUROC: 0.61629 [0.6026057, 0.62997539] | R²: 0.02895 [0.02234833, 0.03618136] | 0 | beta = log(or)/sd_pgs |
| PPM019255 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.7204 [1.47508928, 2.00651675] β: 0.54256 [0.38871852, 0.69640026] |
AUROC: 0.64259 [0.59747381, 0.68771596] | R²: 0.0437 [0.02067683, 0.073914] | 0 | beta = log(or)/sd_pgs |
| PPM019256 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.95616 [1.85139121, 2.06685554] β: 0.67098 [0.61593736, 0.72602839] |
AUROC: 0.68274 [0.66821232, 0.69727153] | R²: 0.06887 [0.0582775, 0.08158032] | 0 | beta = log(or)/sd_pgs |
| PPM019257 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | β: 0.314 [0.27094623, 0.3570459] OR: 1.36888 [1.31120456, 1.42910147] |
AUROC: 0.58489 [0.57210995, 0.59766877] | R²: 0.01549 [0.01126134, 0.02041918] | 0 | beta = log(or)/sd_pgs |
| PPM019258 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 2.00653 [1.96129353, 2.05281389] β: 0.69641 [0.67360422, 0.71921148] |
AUROC: 0.6875 [0.68162312, 0.69338152] | R²: 0.07485 [0.07002551, 0.07988684] | 0 | beta = log(or)/sd_pgs |
| PPM019259 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.90388 [1.74000795, 2.08318936] β: 0.64389 [0.55388968, 0.73390007] |
AUROC: 0.68195 [0.6575792, 0.70632398] | R²: 0.06418 [0.04826446, 0.08480071] | 0 | beta = log(or)/sd_pgs |
| PPM019260 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.53763 [1.4663408, 1.61237934] β: 0.43024 [0.38277005, 0.47771094] |
AUROC: 0.61658 [0.60284816, 0.63032177] | R²: 0.02901 [0.02229249, 0.03588211] | 0 | beta = log(or)/sd_pgs |
| PPM019261 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.63845 [1.40628747, 1.90892925] β: 0.49375 [0.34095323, 0.64654248] |
AUROC: 0.63419 [0.59012677, 0.6782445] | R²: 0.03667 [0.01631785, 0.06339845] | 0 | beta = log(or)/sd_pgs |
| PPM019262 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.9624 [1.85716399, 2.07360018] β: 0.67417 [0.61905059, 0.72928631] |
AUROC: 0.68392 [0.669613, 0.69822212] | R²: 0.06945 [0.05902191, 0.08200647] | 0 | beta = log(or)/sd_pgs |
| PPM019263 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.38476 [1.32636725, 1.44573387] β: 0.32553 [0.28244381, 0.36861706] |
AUROC: 0.58792 [0.57519349, 0.60064532] | R²: 0.01662 [0.01245031, 0.02165909] | 0 | beta = log(or)/sd_pgs |
| PPM019264 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 2.01137 [1.96597864, 2.05780277] β: 0.69881 [0.67599016, 0.72163879] |
AUROC: 0.68759 [0.68172593, 0.69345923] | R²: 0.07527 [0.07053194, 0.08027082] | 0 | beta = log(or)/sd_pgs |
| PPM019265 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.90373 [1.73869829, 2.08443466] β: 0.64382 [0.55313673, 0.73449767] |
AUROC: 0.6761 [0.65087661, 0.7013209] | R²: 0.06308 [0.04633231, 0.08351713] | 0 | beta = log(or)/sd_pgs |
| PPM019266 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.53272 [1.46162704, 1.60726438] β: 0.42704 [0.37955023, 0.47453359] |
AUROC: 0.61571 [0.60206481, 0.62935828] | R²: 0.02855 [0.02210331, 0.03562675] | 0 | beta = log(or)/sd_pgs |
| PPM019267 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.64423 [1.41112598, 1.91585079] β: 0.49727 [0.34438796, 0.6501618] |
AUROC: 0.63179 [0.58844221, 0.67513881] | R²: 0.03711 [0.01656446, 0.06453049] | 0 | beta = log(or)/sd_pgs |
| PPM019268 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.9918 [1.88516531, 2.1044766] β: 0.68904 [0.63401552, 0.74406679] |
AUROC: 0.68817 [0.673906, 0.70242438] | R²: 0.07284 [0.06218143, 0.08596691] | 0 | beta = log(or)/sd_pgs |
| PPM019269 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.33762 [1.28129037, 1.39641733] β: 0.29089 [0.24786767, 0.33390991] |
AUROC: 0.57906 [0.5663149, 0.59181474] | R²: 0.0133 [0.00924467, 0.01796079] | 0 | beta = log(or)/sd_pgs |
| PPM019270 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.9368 [1.89343656, 1.98116454] β: 0.66104 [0.63839347, 0.68368483] |
AUROC: 0.67991 [0.67398453, 0.68582889] | R²: 0.06817 [0.06347957, 0.0729841] | 0 | beta = log(or)/sd_pgs |
| PPM019271 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.81277 [1.65895008, 1.98084425] β: 0.59485 [0.50618492, 0.68352314] |
AUROC: 0.67352 [0.64927983, 0.69776871] | R²: 0.0563 [0.04082247, 0.07446669] | 0 | beta = log(or)/sd_pgs |
| PPM019272 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.53892 [1.4677344, 1.61355637] β: 0.43108 [0.38371999, 0.47844067] |
AUROC: 0.61754 [0.60401323, 0.63105699] | R²: 0.02925 [0.02268366, 0.03647445] | 0 | beta = log(or)/sd_pgs |
| PPM019273 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.64559 [1.41395937, 1.9151656] β: 0.4981 [0.34639384, 0.6498041] |
AUROC: 0.63172 [0.58645333, 0.67699185] | R²: 0.03776 [0.01691585, 0.06820305] | 0 | beta = log(or)/sd_pgs |
| PPM019274 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.86814 [1.7690958, 1.97272357] β: 0.62494 [0.57046857, 0.67941511] |
AUROC: 0.67174 [0.65719135, 0.68628632] | R²: 0.06087 [0.05110841, 0.07279818] | 0 | beta = log(or)/sd_pgs |
| PPM019275 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.33947 [1.28308976, 1.39832777] β: 0.29227 [0.24927105, 0.33527707] |
AUROC: 0.58008 [0.56735638, 0.59280726] | R²: 0.01344 [0.00970498, 0.01810135] | 0 | beta = log(or)/sd_pgs |
| PPM019276 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.93798 [1.89456032, 1.98240343] β: 0.66165 [0.63898679, 0.68430996] |
AUROC: 0.67953 [0.67361679, 0.6854426] | R²: 0.06822 [0.06357639, 0.07320471] | 0 | beta = log(or)/sd_pgs |
| PPM019277 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.81701 [1.66277049, 1.98556228] β: 0.59719 [0.50848518, 0.68590214] |
AUROC: 0.67259 [0.64830467, 0.69688308] | R²: 0.05668 [0.04059064, 0.07517712] | 0 | beta = log(or)/sd_pgs |
| PPM019278 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.52897 [1.45823629, 1.60314492] β: 0.4246 [0.37722769, 0.47196727] |
AUROC: 0.61659 [0.60309036, 0.63008776] | R²: 0.02835 [0.02170599, 0.03546033] | 0 | beta = log(or)/sd_pgs |
| PPM019279 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.64491 [1.41322114, 1.91457258] β: 0.49768 [0.3458716, 0.6494944] |
AUROC: 0.62997 [0.5852728, 0.67466127] | R²: 0.03767 [0.01709617, 0.06692123] | 0 | beta = log(or)/sd_pgs |
| PPM019281 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.37266 [1.31475201, 1.43311018] β: 0.31675 [0.27364806, 0.35984703] |
AUROC: 0.58423 [0.57151504, 0.59693644] | R²: 0.01572 [0.01144703, 0.0206319] | 0 | beta = log(or)/sd_pgs |
| PPM019282 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.95504 [1.91104715, 2.00004635] β: 0.67041 [0.64765134, 0.69317036] |
AUROC: 0.68013 [0.67419992, 0.68606655] | R²: 0.06951 [0.06473689, 0.07421464] | 0 | beta = log(or)/sd_pgs |
| PPM019283 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.88804 [1.72579599, 2.06553911] β: 0.63554 [0.54568839, 0.72539126] |
AUROC: 0.67769 [0.65323253, 0.70214214] | R²: 0.06269 [0.04522405, 0.0823871] | 0 | beta = log(or)/sd_pgs |
| PPM019284 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | β: 0.42927 [0.38184872, 0.47669506] OR: 1.53614 [1.46499045, 1.61074219] |
AUROC: 0.61822 [0.60458955, 0.63184308] | R²: 0.02892 [0.02253997, 0.03616631] | 0 | beta = log(or)/sd_pgs |
| PPM019285 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.72939 [1.48187459, 2.01823757] β: 0.54777 [0.3933079, 0.70222464] |
AUROC: 0.64845 [0.60401758, 0.69288196] | R²: 0.04418 [0.02133967, 0.07419211] | 0 | beta = log(or)/sd_pgs |
| PPM019286 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.8643 [1.76523033, 1.96893154] β: 0.62289 [0.56828118, 0.67749103] |
AUROC: 0.66977 [0.65505775, 0.68448936] | R²: 0.06022 [0.05064197, 0.07255608] | 0 | beta = log(or)/sd_pgs |
| PPM019287 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.35075 [1.2938079, 1.41020626] β: 0.30066 [0.25758973, 0.34373598] |
AUROC: 0.57941 [0.5666597, 0.59215135] | R²: 0.01418 [0.01023193, 0.01900507] | 0 | beta = log(or)/sd_pgs |
| PPM019288 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.94603 [1.90231852, 1.99073726] β: 0.66579 [0.64307341, 0.68850505] |
AUROC: 0.67873 [0.67277732, 0.68467331] | R²: 0.06881 [0.06412546, 0.07367853] | 0 | beta = log(or)/sd_pgs |
| PPM019289 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.83801 [1.67998664, 2.01090769] β: 0.60869 [0.51878584, 0.69858621] |
AUROC: 0.66965 [0.64499602, 0.69430838] | R²: 0.05739 [0.04006869, 0.07674132] | 0 | beta = log(or)/sd_pgs |
| PPM019290 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.53922 [1.46791286, 1.61399308] β: 0.43128 [0.38384157, 0.47871128] |
AUROC: 0.61798 [0.60434303, 0.63161432] | R²: 0.0292 [0.02256932, 0.03644038] | 0 | beta = log(or)/sd_pgs |
| PPM019291 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.73594 [1.48902968, 2.02379137] β: 0.55155 [0.39812468, 0.70497267] |
AUROC: 0.6478 [0.60413485, 0.69145565] | R²: 0.04539 [0.0233246, 0.07450202] | 0 | beta = log(or)/sd_pgs |
| PPM019292 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.84612 [1.74826591, 1.94945659] β: 0.61309 [0.55862439, 0.66755066] |
AUROC: 0.66875 [0.65403523, 0.68346144] | R²: 0.05865 [0.04924178, 0.07070982] | 0 | beta = log(or)/sd_pgs |
| PPM019940 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.50723 [1.38329925, 1.64225382] β: 0.41027 [0.32447141, 0.49606958] |
AUROC: 0.61038 [0.58493393, 0.63583432] | R²: 0.01989 [0.01172729, 0.03067629] | 0 | beta = log(or)/sd_pgs |
| PPM019941 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.76472 [1.7129685, 1.81804229] β: 0.56799 [0.53822783, 0.59776026] |
AUROC: 0.65681 [0.64857862, 0.665043] | R²: 0.03778 [0.03378648, 0.04199483] | 0 | beta = log(or)/sd_pgs |
| PPM019942 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.06976 [0.97430512, 1.17457159] β: 0.06744 [-0.0260308, 0.16090348] |
AUROC: 0.51565 [0.4870758, 0.54421766] | R²: 0.00063 [0.0, 0.00417152] | 0 | beta = log(or)/sd_pgs |
| PPM019943 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.21972 [1.10575245, 1.34542335] β: 0.19862 [0.10052606, 0.29670872] |
AUROC: 0.55539 [0.52652748, 0.58425862] | R²: 0.00453 [0.00106382, 0.01025734] | 0 | beta = log(or)/sd_pgs |
| PPM019944 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.8907 [1.65320815, 2.16231652] β: 0.63695 [0.50271774, 0.77118011] |
AUROC: 0.67867 [0.64177739, 0.71555632] | R²: 0.04884 [0.02894078, 0.07332714] | 0 | beta = log(or)/sd_pgs |
| PPM019945 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.53997 [1.41224358, 1.67924688] β: 0.43176 [0.34517963, 0.5183454] |
AUROC: 0.61637 [0.59140768, 0.64133337] | R²: 0.02164 [0.01297279, 0.03167858] | 0 | beta = log(or)/sd_pgs |
| PPM019946 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.83108 [1.77691147, 1.88689599] β: 0.6049 [0.57487673, 0.63493314] |
AUROC: 0.66566 [0.65750331, 0.67382366] | R²: 0.04216 [0.03803437, 0.04646488] | 0 | beta = log(or)/sd_pgs |
| PPM019947 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.10378 [1.00525324, 1.21196356] β: 0.09874 [0.00523949, 0.19224182] |
AUROC: 0.52426 [0.49592976, 0.5525963] | R²: 0.00135 [0.0, 0.00571968] | 0 | beta = log(or)/sd_pgs |
| PPM019948 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.23285 [1.11742884, 1.36018681] β: 0.20933 [0.11103037, 0.30762205] |
AUROC: 0.5572 [0.52793354, 0.58646596] | R²: 0.00501 [0.00118351, 0.01159794] | 0 | beta = log(or)/sd_pgs |
| PPM019949 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.87052 [1.63223449, 2.14359629] β: 0.62622 [0.48994993, 0.76248493] |
AUROC: 0.67437 [0.63811128, 0.71062785] | R²: 0.04581 [0.02667374, 0.06787352] | 0 | beta = log(or)/sd_pgs |
| PPM019950 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.95715 [1.81292462, 2.11285989] β: 0.67149 [0.59494135, 0.74804243] |
AUROC: 0.6973 [0.67432957, 0.72027485] | R²: 0.06925 [0.05366269, 0.08783238] | 0 | beta = log(or)/sd_pgs |
| PPM019951 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.37817 [2.30792027, 2.45056467] β: 0.86633 [0.8363468, 0.89631847] |
AUROC: 0.73364 [0.7261439, 0.74113326] | R²: 0.08844 [0.08240615, 0.09429924] | 0 | beta = log(or)/sd_pgs |
| PPM019952 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.02806 [0.93617919, 1.12896592] β: 0.02768 [-0.0659484, 0.1213021] |
AUROC: 0.49306 [0.46664532, 0.51946756] | R²: 0.00011 [0.0, 0.00201222] | 0 | beta = log(or)/sd_pgs |
| PPM019953 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.35954 [1.23424263, 1.49756477] β: 0.30715 [0.21045753, 0.4038403] |
AUROC: 0.58092 [0.55093059, 0.61090482] | R²: 0.01115 [0.00472683, 0.02038956] | 0 | beta = log(or)/sd_pgs |
| PPM019954 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.40714 [2.12613109, 2.72529613] β: 0.87844 [0.75430394, 1.0025771] |
AUROC: 0.7438 [0.70604081, 0.78155137] | R²: 0.11521 [0.08261093, 0.15365125] | 0 | beta = log(or)/sd_pgs |
| PPM019956 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.08691 [2.02370949, 2.15207932] β: 0.73568 [0.70493221, 0.7664345] |
AUROC: 0.69901 [0.69126203, 0.70676702] | R²: 0.05973 [0.05525799, 0.06439209] | 0 | beta = log(or)/sd_pgs |
| PPM019957 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 0.97765 [0.89040095, 1.07344813] β: -0.0226 [-0.1160834, 0.07087602] |
AUROC: 0.50592 [0.47842074, 0.53342715] | R²: 7e-05 [0.0, 0.00178835] | 0 | beta = log(or)/sd_pgs |
| PPM019958 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.32037 [1.19592399, 1.45777215] β: 0.27791 [0.1789191, 0.37690935] |
AUROC: 0.5779 [0.54954499, 0.60625601] | R²: 0.0087 [0.00397942, 0.01569235] | 0 | beta = log(or)/sd_pgs |
| PPM019959 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.73561 [1.51150462, 1.99293821] β: 0.55136 [0.41310559, 0.68961004] |
AUROC: 0.6586 [0.61898315, 0.69821584] | R²: 0.03445 [0.01835972, 0.05461851] | 0 | beta = log(or)/sd_pgs |
| PPM019960 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.35332 [2.16304039, 2.56032867] β: 0.85583 [0.77151482, 0.94013564] |
AUROC: 0.71754 [0.69281899, 0.74226865] | R²: 0.09161 [0.07185892, 0.11449842] | 0 | beta = log(or)/sd_pgs |
| PPM019961 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.27887 [2.20957694, 2.35033807] β: 0.82368 [0.79280107, 0.85455918] |
AUROC: 0.71873 [0.71109285, 0.72636337] | R²: 0.07462 [0.06945443, 0.08005629] | 0 | beta = log(or)/sd_pgs |
| PPM019962 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.0051 [0.915294, 1.10371927] β: 0.00509 [-0.08851, 0.09868564] |
AUROC: 0.50466 [0.47785708, 0.53145331] | R²: 3.57e-06 [0.0, 0.00127941] | 0 | beta = log(or)/sd_pgs |
| PPM019963 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.43168 [1.29788795, 1.57925912] β: 0.35885 [0.26073829, 0.45695583] |
AUROC: 0.58479 [0.5557021, 0.61387243] | R²: 0.01478 [0.00756708, 0.02570015] | 0 | beta = log(or)/sd_pgs |
| PPM019964 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.88687 [2.52605474, 3.29923292] β: 1.06017 [0.92665869, 1.19368999] |
AUROC: 0.77124 [0.73430954, 0.80816383] | R²: 0.14125 [0.10181365, 0.18523438] | 0 | beta = log(or)/sd_pgs |
| PPM019965 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.32281 [2.13168407, 2.53107946] β: 0.84278 [0.75691231, 0.92864588] |
AUROC: 0.71195 [0.68696399, 0.73694375] | R²: 0.0847 [0.06629693, 0.10703174] | 0 | beta = log(or)/sd_pgs |
| PPM019966 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.04799 [1.98592622, 2.11200077] β: 0.71686 [0.68608541, 0.74763573] |
AUROC: 0.69176 [0.68386243, 0.69965429] | R²: 0.05646 [0.05209086, 0.06140139] | 0 | beta = log(or)/sd_pgs |
| PPM019967 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.00124 [0.9117887, 1.09947388] β: 0.00124 [-0.092347, 0.09483178] |
AUROC: 0.50968 [0.48325371, 0.53611056] | R²: 2.13e-07 [0.0, 0.00104871] | 0 | beta = log(or)/sd_pgs |
| PPM019968 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.41811 [1.28793383, 1.56143556] β: 0.34932 [0.25303925, 0.44560563] |
AUROC: 0.5837 [0.55391495, 0.61347751] | R²: 0.01451 [0.00709685, 0.02594541] | 0 | beta = log(or)/sd_pgs |
| PPM019969 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.67223 [2.33127749, 3.06303713] β: 0.98291 [0.8464164, 1.11940695] |
AUROC: 0.74858 [0.71080109, 0.78636453] | R²: 0.11349 [0.08057329, 0.1513995] | 0 | beta = log(or)/sd_pgs |
| PPM019970 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.96796 [1.8152611, 2.13351315] β: 0.677 [0.59622931, 0.75776999] |
AUROC: 0.68845 [0.66493994, 0.71195684] | R²: 0.06145 [0.0466906, 0.07846122] | 0 | beta = log(or)/sd_pgs |
| PPM019971 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.98877 [1.93780812, 2.04107353] β: 0.68752 [0.6615575, 0.71347591] |
AUROC: 0.71357 [0.70595937, 0.72117434] | R²: 0.0733 [0.06778529, 0.07934817] | 0 | beta = log(or)/sd_pgs |
| PPM019972 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 0.99583 [0.90679351, 1.09360849] β: -0.00418 [-0.0978405, 0.08948277] |
AUROC: 0.50552 [0.47751517, 0.53351676] | R²: 2.41e-06 [0.0, 0.00132293] | 0 | beta = log(or)/sd_pgs |
| PPM019973 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.34209 [1.2160386, 1.48119754] β: 0.29422 [0.19559853, 0.39285091] |
AUROC: 0.57505 [0.54588165, 0.60422019] | R²: 0.00983 [0.00444222, 0.01812082] | 0 | beta = log(or)/sd_pgs |
| PPM019974 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.32027 [2.05513583, 2.61961025] β: 0.84168 [0.72034195, 0.96302555] |
AUROC: 0.73583 [0.6992247, 0.77242674] | R²: 0.10657 [0.0731231, 0.14722601] | 0 | beta = log(or)/sd_pgs |
| PPM019975 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.10311 [1.93487496, 2.28597324] β: 0.74342 [0.6600427, 0.82679186] |
AUROC: 0.69475 [0.67006258, 0.71942771] | R²: 0.06975 [0.05276804, 0.08919338] | 0 | beta = log(or)/sd_pgs |
| PPM019976 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.14067 [2.07613635, 2.20720948] β: 0.76112 [0.73050864, 0.79172904] |
AUROC: 0.70513 [0.69736383, 0.71288732] | R²: 0.06481 [0.059934, 0.06970825] | 0 | beta = log(or)/sd_pgs |
| PPM019977 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.00042 [0.91103711, 1.09857896] β: 0.00042 [-0.0931716, 0.09401749] |
AUROC: 0.50146 [0.4742843, 0.52864086] | R²: 2.47e-08 [0.0, 0.00110175] | 0 | beta = log(or)/sd_pgs |
| PPM019979 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.67623 [2.34580171, 3.0531938] β: 0.98441 [0.85262722, 1.11618819] |
AUROC: 0.75808 [0.72109039, 0.79506729] | R²: 0.12382 [0.0893776, 0.1626812] | 0 | beta = log(or)/sd_pgs |
| PPM019980 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.98839 [1.83886186, 2.15008348] β: 0.68733 [0.60914683, 0.76550667] |
AUROC: 0.69368 [0.66982956, 0.71752171] | R²: 0.06902 [0.05359352, 0.08756059] | 0 | beta = log(or)/sd_pgs |
| PPM019981 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.45742 [2.38456802, 2.53249357] β: 0.89911 [0.86901799, 0.92920442] |
AUROC: 0.74072 [0.73326604, 0.7481693] | R²: 0.09498 [0.08910449, 0.1012516] | 0 | beta = log(or)/sd_pgs |
| PPM019982 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 0.99231 [0.90364856, 1.08967257] β: -0.00772 [-0.1013148, 0.08587725] |
AUROC: 0.50262 [0.47587981, 0.52935952] | R²: 8.22e-06 [0.0, 0.00119328] | 0 | beta = log(or)/sd_pgs |
| PPM019983 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.42533 [1.29225034, 1.57211911] β: 0.3544 [0.25638515, 0.45242446] |
AUROC: 0.59074 [0.56115377, 0.62033237] | R²: 0.01445 [0.00709941, 0.02487634] | 0 | beta = log(or)/sd_pgs |
| PPM019984 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.43145 [2.14880751, 2.75126545] β: 0.88849 [0.76491304, 1.01206097] |
AUROC: 0.74705 [0.70995893, 0.78413594] | R²: 0.1179 [0.08420483, 0.15729309] | 0 | beta = log(or)/sd_pgs |
| PPM019985 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.96153 [1.81511617, 2.11974641] β: 0.67372 [0.59614947, 0.75129646] |
AUROC: 0.69109 [0.66721361, 0.71496653] | R²: 0.06749 [0.05179939, 0.08606836] | 0 | beta = log(or)/sd_pgs |
| PPM019986 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.44508 [2.37411415, 2.51816059] β: 0.89408 [0.86462438, 0.92352871] |
AUROC: 0.74221 [0.7347773, 0.74964128] | R²: 0.09841 [0.09204504, 0.10511922] | 0 | beta = log(or)/sd_pgs |
| PPM019987 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.0158 [0.92505185, 1.11545962] β: 0.01568 [-0.0779055, 0.10926654] |
AUROC: 0.49721 [0.47051134, 0.52391261] | R²: 3e-05 [0.0, 0.00165456] | 0 | beta = log(or)/sd_pgs |
| PPM019988 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.42395 [1.29147627, 1.57000849] β: 0.35343 [0.25578596, 0.45108103] |
AUROC: 0.58948 [0.55985079, 0.61910169] | R²: 0.01448 [0.00713355, 0.02556907] | 0 | beta = log(or)/sd_pgs |
| PPM019989 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.39116 [2.11480155, 2.70363906] β: 0.87178 [0.74896098, 0.99459867] |
AUROC: 0.74365 [0.70655591, 0.78075248] | R²: 0.11538 [0.08154941, 0.15461483] | 0 | beta = log(or)/sd_pgs |
| PPM019990 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.96291 [1.8158394, 2.12190093] β: 0.67443 [0.59654784, 0.75231235] |
AUROC: 0.69707 [0.6741702, 0.71996442] | R²: 0.06768 [0.05283665, 0.08590187] | 0 | beta = log(or)/sd_pgs |
| PPM019991 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.44728 [2.37432767, 2.52248258] β: 0.89498 [0.86471431, 0.92524357] |
AUROC: 0.73762 [0.73014965, 0.74509755] | R²: 0.0929 [0.08697873, 0.09927932] | 0 | beta = log(or)/sd_pgs |
| PPM019992 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.02458 [0.93312347, 1.12499983] β: 0.02428 [-0.0692177, 0.11778288] |
AUROC: 0.51003 [0.4834716, 0.5365786] | R²: 8e-05 [0.0, 0.00192444] | 0 | beta = log(or)/sd_pgs |
| PPM019993 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.42499 [1.29448907, 1.56865336] β: 0.35417 [0.25811607, 0.45021752] |
AUROC: 0.59001 [0.56010026, 0.61992271] | R²: 0.01505 [0.00716292, 0.02582298] | 0 | beta = log(or)/sd_pgs |
| PPM019994 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.34601 [2.07012734, 2.65865075] β: 0.85271 [0.72761012, 0.97781876] |
AUROC: 0.7445 [0.70912362, 0.7798788] | R²: 0.10752 [0.07728308, 0.14325004] | 0 | beta = log(or)/sd_pgs |
| PPM019995 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.95016 [1.8039695, 2.10819938] β: 0.66791 [0.58998952, 0.74583421] |
AUROC: 0.69542 [0.67251261, 0.71833611] | R²: 0.06635 [0.05145834, 0.08404252] | 0 | beta = log(or)/sd_pgs |
| PPM019996 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.41964 [2.34758401, 2.49390831] β: 0.88362 [0.85338672, 0.91385108] |
AUROC: 0.73427 [0.72674347, 0.74178811] | R²: 0.09058 [0.08466118, 0.09688729] | 0 | beta = log(or)/sd_pgs |
| PPM019997 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.02716 [0.9355068, 1.12778739] β: 0.0268 [-0.0666669, 0.12025765] |
AUROC: 0.51065 [0.48423163, 0.53706706] | R²: 0.0001 [0.0, 0.0020518] | 0 | beta = log(or)/sd_pgs |
| PPM019998 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.41112 [1.28181566, 1.55346498] β: 0.34438 [0.24827756, 0.44048791] |
AUROC: 0.58719 [0.55730466, 0.61706811] | R²: 0.01421 [0.00653265, 0.0245434] | 0 | beta = log(or)/sd_pgs |
| PPM019999 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.32891 [2.05474726, 2.63965287] β: 0.8454 [0.72015285, 0.97064742] |
AUROC: 0.74138 [0.70575103, 0.77699909] | R²: 0.10551 [0.07498107, 0.14145494] | 0 | beta = log(or)/sd_pgs |
| PPM020001 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.63972 [1.60628474, 1.67385776] β: 0.49453 [0.47392389, 0.515131] |
AUROC: 0.6351 [0.62933904, 0.64086446] | R²: 0.0367 [0.03357391, 0.04012387] | 0 | beta = log(or)/sd_pgs |
| PPM020002 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.9896 [1.59472086, 2.48224985] β: 0.68793 [0.46669871, 0.90916534] |
AUROC: 0.70565 [0.63333493, 0.77796963] | R²: 0.05367 [0.02290313, 0.09716264] | 0 | beta = log(or)/sd_pgs |
| PPM020003 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.54092 [1.45306104, 1.63408316] β: 0.43238 [0.37367239, 0.49108189] |
AUROC: 0.61952 [0.60270134, 0.636339] | R²: 0.02797 [0.0211408, 0.03646128] | 0 | beta = log(or)/sd_pgs |
| PPM020004 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.36914 [2.07577111, 2.70396438] β: 0.86253 [0.73033271, 0.99471898] |
AUROC: 0.72826 [0.69173398, 0.76478209] | R²: 0.122 [0.08216417, 0.16529108] | 0 | beta = log(or)/sd_pgs |
| PPM020005 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.33056 [1.27927587, 1.3839026] β: 0.2856 [0.24629419, 0.32490748] |
AUROC: 0.57951 [0.56779004, 0.5912348] | R²: 0.01289 [0.00942678, 0.01683411] | 0 | beta = log(or)/sd_pgs |
| PPM020006 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.40296 [1.37512281, 1.43135987] β: 0.33858 [0.31854304, 0.35862495] |
AUROC: 0.59425 [0.58836034, 0.60013257] | R²: 0.01808 [0.01603989, 0.02043251] | 0 | beta = log(or)/sd_pgs |
| PPM020007 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.70576 [1.31671088, 2.20977427] β: 0.53401 [0.27513687, 0.79289037] |
AUROC: 0.65379 [0.59209129, 0.71549218] | R²: 0.02382 [0.00843075, 0.05003813] | 0 | beta = log(or)/sd_pgs |
| PPM020008 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.30274 [1.23029942, 1.37944872] β: 0.26447 [0.20725757, 0.32168394] |
AUROC: 0.57047 [0.55330355, 0.58764034] | R²: 0.01098 [0.00635806, 0.01667243] | 0 | beta = log(or)/sd_pgs |
| PPM020009 | PGS004118 (pt_clump.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.56663 [1.37347647, 1.78694216] β: 0.44893 [0.31734509, 0.58050587] |
AUROC: 0.62337 [0.58200096, 0.66473232] | R²: 0.03261 [0.0140955, 0.05548662] | 0 | beta = log(or)/sd_pgs |
| PPM020010 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.34749 [1.29508225, 1.40201468] β: 0.29824 [0.25857421, 0.33791026] |
AUROC: 0.58105 [0.56930556, 0.59279972] | R²: 0.0138 [0.01033525, 0.01782333] | 0 | beta = log(or)/sd_pgs |
| PPM020011 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.43562 [1.40681814, 1.46501743] β: 0.3616 [0.34133052, 0.38186714] |
AUROC: 0.59988 [0.59403334, 0.60572738] | R²: 0.02017 [0.01796729, 0.0226397] | 0 | beta = log(or)/sd_pgs |
| PPM020012 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.54617 [1.19528898, 2.00006106] β: 0.43578 [0.17838798, 0.69317771] |
AUROC: 0.6263 [0.55995128, 0.69265647] | R²: 0.01611 [0.00346998, 0.03792919] | 0 | beta = log(or)/sd_pgs |
| PPM020013 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.33067 [1.25591817, 1.40986302] β: 0.28568 [0.22786692, 0.34349255] |
AUROC: 0.57616 [0.55915512, 0.59316854] | R²: 0.01255 [0.00747678, 0.01866845] | 0 | beta = log(or)/sd_pgs |
| PPM020014 | PGS004133 (pt_clump_nested.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.49068 [1.30391606, 1.70419754] β: 0.39923 [0.26537209, 0.53309435] |
AUROC: 0.60812 [0.56762836, 0.64860873] | R²: 0.02494 [0.01039785, 0.04545545] | 0 | beta = log(or)/sd_pgs |
| PPM020015 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.33393 [1.28094638, 1.3890998] β: 0.28813 [0.24759916, 0.32865591] |
AUROC: 0.58064 [0.56883718, 0.59243732] | R²: 0.01224 [0.00905012, 0.0158579] | 0 | beta = log(or)/sd_pgs |
| PPM020017 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.37351 [1.09734382, 1.71919027] β: 0.31737 [0.09289255, 0.54185341] |
AUROC: 0.57062 [0.49087135, 0.65037199] | R²: 0.01113 [0.000312, 0.040902] | 0 | beta = log(or)/sd_pgs |
| PPM020018 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.1176 [1.05475987, 1.18418315] β: 0.11118 [0.05331313, 0.16905321] |
AUROC: 0.52923 [0.5116339, 0.54683125] | R²: 0.0019 [0.000371, 0.00466991] | 0 | beta = log(or)/sd_pgs |
| PPM020019 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.82399 [1.59169421, 2.09018269] β: 0.60103 [0.46479899, 0.73725147] |
AUROC: 0.65883 [0.61913538, 0.6985174] | R²: 0.05369 [0.03020613, 0.08591409] | 0 | beta = log(or)/sd_pgs |
| PPM020020 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.39911 [1.3453147, 1.45504863] β: 0.33583 [0.29662796, 0.37503932] |
AUROC: 0.5916 [0.57985369, 0.6033368] | R²: 0.01793 [0.01361181, 0.02247244] | 0 | beta = log(or)/sd_pgs |
| PPM020021 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.62873 [1.5962079, 1.66190947] β: 0.4878 [0.46763075, 0.50796722] |
AUROC: 0.63399 [0.62818932, 0.6397817] | R²: 0.03731 [0.0341354, 0.04065053] | 0 | beta = log(or)/sd_pgs |
| PPM020022 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.86907 [1.45549233, 2.40017231] β: 0.62544 [0.37534421, 0.87554053] |
AUROC: 0.67317 [0.61055743, 0.73578134] | R²: 0.03526 [0.01406596, 0.06823395] | 0 | beta = log(or)/sd_pgs |
| PPM020023 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.46527 [1.38341272, 1.55196664] β: 0.38204 [0.32455343, 0.43952293] |
AUROC: 0.60487 [0.58809209, 0.62164016] | R²: 0.02273 [0.01613462, 0.03055882] | 0 | beta = log(or)/sd_pgs |
| PPM020024 | PGS004148 (sbayesr.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.74045 [1.52359433, 1.98817059] β: 0.55414 [0.42107223, 0.68721491] |
AUROC: 0.66211 [0.62585476, 0.69836134] | R²: 0.04857 [0.02861608, 0.07522105] | 0 | beta = log(or)/sd_pgs |
| PPM020025 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.64114 [1.57821035, 1.70658848] β: 0.49539 [0.45629151, 0.53449634] |
AUROC: 0.63353 [0.62188573, 0.645168] | R²: 0.03944 [0.03314538, 0.04625298] | 0 | beta = log(or)/sd_pgs |
| PPM020026 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.75402 [1.71840512, 1.79036854] β: 0.56191 [0.5413966, 0.58242149] |
AUROC: 0.65279 [0.64709296, 0.6584935] | R²: 0.04802 [0.0444714, 0.05161881] | 0 | beta = log(or)/sd_pgs |
| PPM020027 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.39078 [1.89563819, 3.0152594] β: 0.87162 [0.63955556, 1.10368586] |
AUROC: 0.74329 [0.67891271, 0.80767425] | R²: 0.07939 [0.04017912, 0.13128156] | 0 | beta = log(or)/sd_pgs |
| PPM020028 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.6676 [1.57316173, 1.76770414] β: 0.51138 [0.45308744, 0.56968161] |
AUROC: 0.64052 [0.62389168, 0.65713902] | R²: 0.03977 [0.03083288, 0.04944259] | 0 | beta = log(or)/sd_pgs |
| PPM020029 | PGS004163 (UKBB_EnsPGS.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.46183 [2.16199209, 2.8032592] β: 0.90091 [0.77103006, 1.03078274] |
AUROC: 0.74695 [0.71319269, 0.78070209] | R²: 0.13759 [0.09865689, 0.18374268] | 0 | beta = log(or)/sd_pgs |
| PPM020030 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.50199 [1.44431953, 1.56196832] β: 0.40679 [0.36763829, 0.44594677] |
AUROC: 0.60873 [0.59700811, 0.62044991] | R²: 0.02641 [0.02099026, 0.03200156] | 0 | beta = log(or)/sd_pgs |
| PPM020031 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.61696 [1.5839576, 1.65065666] β: 0.48055 [0.45992653, 0.50117319] |
AUROC: 0.63145 [0.62565031, 0.63723984] | R²: 0.03458 [0.03148347, 0.03790002] | 0 | beta = log(or)/sd_pgs |
| PPM020032 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.0218 [1.62249081, 2.51937283] β: 0.70399 [0.48396251, 0.92400999] |
AUROC: 0.71409 [0.65011341, 0.77806995] | R²: 0.05539 [0.02757678, 0.09737164] | 0 | beta = log(or)/sd_pgs |
| PPM020033 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.60515 [1.51334744, 1.70252754] β: 0.47322 [0.41432404, 0.53211394] |
AUROC: 0.63076 [0.61433544, 0.64719353] | R²: 0.03332 [0.02538049, 0.04297958] | 0 | beta = log(or)/sd_pgs |
| PPM020035 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.52285 [1.46263457, 1.58555171] β: 0.42059 [0.38023931, 0.46093243] |
AUROC: 0.61325 [0.60161044, 0.62487979] | R²: 0.02644 [0.02106118, 0.03159975] | 0 | beta = log(or)/sd_pgs |
| PPM020036 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.6765 [1.64253856, 1.71116433] β: 0.51671 [0.49624295, 0.53717403] |
AUROC: 0.64169 [0.63597003, 0.64740127] | R²: 0.04068 [0.03737711, 0.04388012] | 0 | beta = log(or)/sd_pgs |
| PPM020037 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.16519 [1.63058972, 2.87505923] β: 0.77251 [0.48894174, 1.05607327] |
AUROC: 0.68659 [0.62306752, 0.75011928] | R²: 0.04033 [0.01968338, 0.06955001] | 0 | beta = log(or)/sd_pgs |
| PPM020038 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.52777 [1.44093306, 1.6198353] β: 0.42381 [0.36529086, 0.48232448] |
AUROC: 0.615 [0.59804531, 0.63195557] | R²: 0.02702 [0.01945086, 0.03541182] | 0 | beta = log(or)/sd_pgs |
| PPM020039 | PGS004064 (megaprs.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.12896 [1.86473669, 2.4306247] β: 0.75563 [0.62311986, 0.8881483] |
AUROC: 0.71237 [0.67693105, 0.74780668] | R²: 0.09048 [0.06089994, 0.12628899] | 0 | beta = log(or)/sd_pgs |
| PPM020040 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.39977 [1.34410643, 1.45773885] β: 0.33631 [0.29572943, 0.3768865] |
AUROC: 0.5924 [0.58070208, 0.60409508] | R²: 0.01668 [0.01284464, 0.02085219] | 0 | beta = log(or)/sd_pgs |
| PPM020041 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.43354 [1.40427497, 1.46341096] β: 0.36015 [0.33952114, 0.38076998] |
AUROC: 0.60119 [0.59539073, 0.60698337] | R²: 0.01933 [0.01709073, 0.021498] | 0 | beta = log(or)/sd_pgs |
| PPM020042 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.62378 [1.29975822, 2.02858217] β: 0.48476 [0.26217827, 0.70733711] |
AUROC: 0.64719 [0.57521551, 0.71916706] | R²: 0.0251 [0.00821845, 0.05577828] | 0 | beta = log(or)/sd_pgs |
| PPM020043 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.24983 [1.17898128, 1.32493323] β: 0.22301 [0.16465075, 0.28136206] |
AUROC: 0.56468 [0.54783481, 0.58151937] | R²: 0.0075 [0.00402557, 0.01180133] | 0 | beta = log(or)/sd_pgs |
| PPM020044 | PGS004103 (prscs.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.9189 [1.67929657, 2.19269289] β: 0.65175 [0.51837499, 0.78513042] |
AUROC: 0.67899 [0.6419829, 0.71598959] | R²: 0.06493 [0.04215202, 0.09455987] | 0 | beta = log(or)/sd_pgs |
| PPM020045 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.43309 [1.37789918, 1.49048299] β: 0.35983 [0.32056001, 0.39910022] |
AUROC: 0.60175 [0.58999494, 0.61350437] | R²: 0.01993 [0.01570594, 0.02462764] | 0 | beta = log(or)/sd_pgs |
| PPM020046 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.64768 [1.61352054, 1.68256451] β: 0.49937 [0.47841846, 0.52031912] |
AUROC: 0.63372 [0.62788781, 0.63955506] | R²: 0.03632 [0.03309896, 0.03953108] | 0 | beta = log(or)/sd_pgs |
| PPM020047 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.45841 [1.19873228, 1.77432944] β: 0.37734 [0.18126456, 0.57342257] |
AUROC: 0.60742 [0.53398957, 0.68084175] | R²: 0.01948 [0.00432876, 0.05204534] | 0 | beta = log(or)/sd_pgs |
| PPM020048 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.30074 [1.2314019, 1.37398385] β: 0.26293 [0.20815328, 0.31771444] |
AUROC: 0.58564 [0.56934416, 0.60192786] | R²: 0.01181 [0.00719488, 0.01742899] | 0 | beta = log(or)/sd_pgs |
| PPM020049 | PGS004094 (prscs.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.88898 [1.67167849, 2.13453009] β: 0.63604 [0.5138282, 0.75824653] |
AUROC: 0.69466 [0.65809177, 0.73122596] | R²: 0.07313 [0.04487877, 0.10829372] | 0 | beta = log(or)/sd_pgs |
| PPM020050 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.32987 [1.28121824, 1.38036919] β: 0.28508 [0.24781138, 0.32235099] |
AUROC: 0.58517 [0.5735, 0.59683621] | R²: 0.01384 [0.01026836, 0.01752212] | 0 | beta = log(or)/sd_pgs |
| PPM020051 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.49732 [1.46602685, 1.52927706] β: 0.40368 [0.38255592, 0.42479511] |
AUROC: 0.60802 [0.60210105, 0.6139434] | R²: 0.02326 [0.02088065, 0.0257906] | 0 | beta = log(or)/sd_pgs |
| PPM020052 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.28607 [1.08009867, 1.53131211] β: 0.25159 [0.0770524, 0.42612496] |
AUROC: 0.59832 [0.52394235, 0.67270553] | R²: 0.01158 [0.00106957, 0.04053787] | 0 | beta = log(or)/sd_pgs |
| PPM020053 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.18691 [1.12316952, 1.25426353] β: 0.17135 [0.11615461, 0.22654857] |
AUROC: 0.55861 [0.54216624, 0.57505125] | R²: 0.00494 [0.00224141, 0.008649] | 0 | beta = log(or)/sd_pgs |
| PPM020054 | PGS004010 (lassosum.auto.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.59047 [1.42931885, 1.76979456] β: 0.46403 [0.357198, 0.57086347] |
AUROC: 0.6696 [0.63218416, 0.70702386] | R²: 0.05578 [0.03219308, 0.08912121] | 0 | beta = log(or)/sd_pgs |
| PPM020055 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.46364 [1.40722648, 1.52232499] β: 0.38093 [0.34162073, 0.42023876] |
AUROC: 0.60294 [0.59126234, 0.6146234] | R²: 0.02295 [0.01792423, 0.02800557] | 0 | beta = log(or)/sd_pgs |
| PPM020056 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.61006 [1.57707721, 1.6437293] β: 0.47627 [0.45557327, 0.49696762] |
AUROC: 0.63039 [0.62463626, 0.63613412] | R²: 0.03371 [0.03082787, 0.03667513] | 0 | beta = log(or)/sd_pgs |
| PPM020057 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011246| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.91213 [1.49624529, 2.4436175] β: 0.64822 [0.40295883, 0.89347952] |
AUROC: 0.69067 [0.62429924, 0.75703169] | R²: 0.03819 [0.01668401, 0.0690534] | 0 | beta = log(or)/sd_pgs |
| PPM020058 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011262| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.4387 [1.3566017, 1.52577159] β: 0.36374 [0.30498282, 0.42250024] |
AUROC: 0.60312 [0.58631707, 0.61991468] | R²: 0.01973 [0.01358075, 0.02702473] | 0 | beta = log(or)/sd_pgs |
| PPM020059 | PGS004021 (lassosum.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.11267 [1.86259241, 2.39632917] β: 0.74795 [0.62196928, 0.87393805] |
AUROC: 0.71102 [0.67560891, 0.74643625] | R²: 0.09939 [0.0673612, 0.13982338] | 0 | beta = log(or)/sd_pgs |
| PPM020098 | PGS000024 (GRS2) |
PSS011295| Ancestry Not Reported| 1,798 individuals |
PGP000519 | Thomas NJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes vs autoantibody negative T2D | — | — | p-value (inferior to): 0.0001 | — | — |
| PPM020104 | PGS004171 (t1d_1) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.7 | — | year of birth, sex | — |
| PPM020105 | PGS004172 (t1d_2) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.71 | — | year of birth, sex | — |
| PPM020106 | PGS004173 (t1d_3) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.71 | — | year of birth, sex | — |
| PPM020107 | PGS004174 (t1d_4) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.71 | — | year of birth, sex | — |
| PPM020108 | PGS004175 (t1d_5) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.7 | — | year of birth, sex | — |
| PPM020320 | PGS004253 (uc_ldpred2) |
PSS011334| European Ancestry| 21,335 individuals |
PGP000545 | Middha P et al. Nat Commun (2024) |
Reported Trait: Ulcerative colitis | OR: 1.75 [1.59, 1.92] | AUROC: 0.65 [0.62, 0.68] | — | age, sex, 10 PCs | — |
| PPM020321 | PGS004254 (cd_ldpred2) |
PSS011333| European Ancestry| 5,285 individuals |
PGP000545 | Middha P et al. Nat Commun (2024) |
Reported Trait: Crohn's disease | OR: 1.83 [1.72, 1.95] | AUROC: 0.72 [0.69, 0.74] | — | age at diagnosis/enrollment, sex, genotyping array, 10 PCs | — |
| PPM020322 | PGS004254 (cd_ldpred2) |
PSS011332| European Ancestry| 22,296 individuals |
PGP000545 | Middha P et al. Nat Commun (2024) |
Reported Trait: Crohn's disease | OR: 2.18 [2.05, 2.32] | AUROC: 0.72 [0.7, 0.73] | — | age, sex, 10 PCs | — |
| PPM020324 | PGS004256 (GenoBoost_rheumatoid_arthritis_1) |
PSS011342| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66212 | Covariate-adjusted pseudo-R2: 0.01305 AUPRC: 0.04649 |
age, sex, PC1-10 | — |
| PPM020325 | PGS004257 (GenoBoost_rheumatoid_arthritis_2) |
PSS011342| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66087 | AUPRC: 0.04561 Covariate-adjusted pseudo-R2: 0.01191 |
age, sex, PC1-10 | — |
| PPM020326 | PGS004258 (GenoBoost_rheumatoid_arthritis_3) |
PSS011342| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.6639 | Covariate-adjusted pseudo-R2: 0.01382 AUPRC: 0.04737 |
age, sex, PC1-10 | — |
| PPM020327 | PGS004259 (GenoBoost_rheumatoid_arthritis_4) |
PSS011342| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66128 | Covariate-adjusted pseudo-R2: 0.01258 AUPRC: 0.04632 |
age, sex, PC1-10 | — |
| PPM020328 | PGS004260 (GenoBoost_psoriasis_0) |
PSS011347| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Psoriasis | — | AUROC: 0.66908 | Covariate-adjusted pseudo-R2: 0.04239 AUPRC: 0.04468 |
age, sex, PC1-10 | — |
| PPM020329 | PGS004261 (GenoBoost_psoriasis_1) |
PSS011347| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Psoriasis | — | AUROC: 0.67722 | Covariate-adjusted pseudo-R2: 0.04563 AUPRC: 0.0457 |
age, sex, PC1-10 | — |
| PPM020330 | PGS004262 (GenoBoost_psoriasis_2) |
PSS011347| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Psoriasis | — | AUROC: 0.66916 | Covariate-adjusted pseudo-R2: 0.04211 AUPRC: 0.0431 |
age, sex, PC1-10 | — |
| PPM020331 | PGS004263 (GenoBoost_psoriasis_3) |
PSS011347| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Psoriasis | — | AUROC: 0.67205 | Covariate-adjusted pseudo-R2: 0.04423 AUPRC: 0.04681 |
age, sex, PC1-10 | — |
| PPM020332 | PGS004264 (GenoBoost_psoriasis_4) |
PSS011347| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Psoriasis | — | AUROC: 0.66842 | Covariate-adjusted pseudo-R2: 0.04356 AUPRC: 0.04551 |
age, sex, PC1-10 | — |
| PPM020339 | PGS004271 (GenoBoost_inflammatory_bowel_disease_1) |
PSS011341| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.57758 | Covariate-adjusted pseudo-R2: 0.00673 AUPRC: 0.01694 |
age, sex, PC1-10 | — |
| PPM020340 | PGS004272 (GenoBoost_inflammatory_bowel_disease_2) |
PSS011341| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.58326 | Covariate-adjusted pseudo-R2: 0.00796 AUPRC: 0.0168 |
age, sex, PC1-10 | — |
| PPM020341 | PGS004273 (GenoBoost_inflammatory_bowel_disease_3) |
PSS011341| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.58873 | Covariate-adjusted pseudo-R2: 0.00874 AUPRC: 0.01624 |
age, sex, PC1-10 | — |
| PPM020342 | PGS004274 (GenoBoost_inflammatory_bowel_disease_4) |
PSS011341| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.5879 | Covariate-adjusted pseudo-R2: 0.00872 AUPRC: 0.01705 |
age, sex, PC1-10 | — |
| PPM019246 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.982 [1.93724169, 2.02779924] β: 0.68411 [0.66126515, 0.70695109] |
AUROC: 0.68425 [0.67836828, 0.6901266] | R²: 0.0719 [0.06717405, 0.07701924] | 0 | beta = log(or)/sd_pgs |
| PPM019251 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.37223 [1.31427216, 1.43274448] β: 0.31644 [0.27328302, 0.35959182] |
AUROC: 0.58458 [0.57191218, 0.59724852] | R²: 0.01565 [0.01132517, 0.02036671] | 0 | beta = log(or)/sd_pgs |
| PPM019280 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.87137 [1.77212268, 1.97616972] β: 0.62667 [0.57217808, 0.68116049] |
AUROC: 0.67221 [0.65768122, 0.68674124] | R²: 0.06119 [0.05135518, 0.07301252] | 0 | beta = log(or)/sd_pgs |
| PPM019955 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.62883 [1.4923288, 1.77782255] β: 0.48786 [0.40033785, 0.57538933] |
AUROC: 0.63151 [0.60628925, 0.65673082] | R²: 0.02701 [0.01801814, 0.03863217] | 0 | beta = log(or)/sd_pgs |
| PPM019978 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.39887 [1.26758241, 1.54375709] β: 0.33567 [0.23711147, 0.43421912] |
AUROC: 0.58756 [0.55830682, 0.61680998] | R²: 0.01282 [0.00631335, 0.02187257] | 0 | beta = log(or)/sd_pgs |
| PPM020000 | PGS004049 (ldpred2.CV.GCST90013534.RA) |
PSS011222| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.55377 [1.4943584, 1.61555387] β: 0.44069 [0.40169695, 0.47967785] |
AUROC: 0.62089 [0.60918562, 0.63258519] | R²: 0.03138 [0.02545406, 0.03718143] | 0 | beta = log(or)/sd_pgs |
| PPM020016 | PGS003994 (dbslmm.auto.GCST90013534.RA) |
PSS011233| European Ancestry| 388,890 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 1.50841 [1.47749798, 1.53996605] β: 0.41106 [0.3903501, 0.43176037] |
AUROC: 0.61202 [0.60619063, 0.61785875] | R²: 0.02501 [0.02245787, 0.02749797] | 0 | beta = log(or)/sd_pgs |
| PPM020034 | PGS004079 (megaprs.CV.GCST90013534.RA) |
PSS011275| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Seropositive RA | OR: 2.22137 [1.95736288, 2.5209968] β: 0.79813 [0.6715981, 0.92465438] |
AUROC: 0.71931 [0.68214811, 0.75647815] | R²: 0.11294 [0.0751487, 0.15730633] | 0 | beta = log(or)/sd_pgs |
| PPM020383 | PGS004315 (GRS-ALL) |
PSS011349| European Ancestry| 654 individuals |
PGP000547 | Bui A et al. Front Genet (2023) |
Reported Trait: Family history of psoriasis | OR: 1.02 [1.0, 1.04] | — | R²: 0.0067 | — | — |
| PPM020384 | PGS004315 (GRS-ALL) |
PSS011349| European Ancestry| 654 individuals |
PGP000547 | Bui A et al. Front Genet (2023) |
Reported Trait: Age of psoriasis onset | OR: 0.71 [0.59, 0.85] | — | R²: 0.023 | — | — |
| PPM020385 | PGS004316 (GRS-HLA) |
PSS011349| European Ancestry| 654 individuals |
PGP000547 | Bui A et al. Front Genet (2023) |
Reported Trait: Age of psoriasis onset | OR: 0.46 [0.34, 0.63] | — | R²: 0.0398 | — | — |
| PPM020386 | PGS004315 (GRS-ALL) |
PSS011349| European Ancestry| 654 individuals |
PGP000547 | Bui A et al. Front Genet (2023) |
Reported Trait: Age of type1 psoriasis onset | OR: 0.82 [0.59, 0.85] | — | R²: 0.0206 | — | — |
| PPM020387 | PGS004316 (GRS-HLA) |
PSS011349| European Ancestry| 654 individuals |
PGP000547 | Bui A et al. Front Genet (2023) |
Reported Trait: Age of type1 psoriasis onset | OR: 0.69 [0.56, 0.86] | — | R²: 0.0216 | — | — |
| PPM020388 | PGS004315 (GRS-ALL) |
PSS011349| European Ancestry| 654 individuals |
PGP000547 | Bui A et al. Front Genet (2023) |
Reported Trait: Psoriasis severity | OR: 1.02 [1.0, 1.06] | — | R²: 0.061 | — | — |
| PPM020389 | PGS004316 (GRS-HLA) |
PSS011349| European Ancestry| 654 individuals |
PGP000547 | Bui A et al. Front Genet (2023) |
Reported Trait: Psoriasis severity | OR: 1.09 [1.03, 1.15] | — | R²: 0.077 | — | — |
| PPM020390 | PGS004315 (GRS-ALL) |
PSS011349| European Ancestry| 654 individuals |
PGP000547 | Bui A et al. Front Genet (2023) |
Reported Trait: Total number of locations ever affected by psoriasis | OR: 1.16 [1.11, 1.21] | — | R²: 0.061 | — | — |
| PPM020391 | PGS004316 (GRS-HLA) |
PSS011349| European Ancestry| 654 individuals |
PGP000547 | Bui A et al. Front Genet (2023) |
Reported Trait: Total number of locations ever affected by psoriasis | OR: 1.34 [1.24, 1.45] | — | R²: 0.077 | — | — |
| PPM020392 | PGS004317 (GRS-noHLA) |
PSS011349| European Ancestry| 654 individuals |
PGP000547 | Bui A et al. Front Genet (2023) |
Reported Trait: Psoriasis in genital area | OR: 0.97 [0.94, 1.0] | — | — | — | — |
| PPM020393 | PGS004315 (GRS-ALL) |
PSS011349| European Ancestry| 654 individuals |
PGP000547 | Bui A et al. Front Genet (2023) |
Reported Trait: Initial presentation of psoriasis at elbow or knee | OR: 0.97 [0.94, 0.99] | — | — | — | — |
| PPM020394 | PGS004316 (GRS-HLA) |
PSS011349| European Ancestry| 654 individuals |
PGP000547 | Bui A et al. Front Genet (2023) |
Reported Trait: Initial presentation of psoriasis at elbow or knee | OR: 0.92 [0.88, 0.96] | — | — | — | — |
| PPM020395 | PGS004317 (GRS-noHLA) |
PSS011348| European Ancestry| 345 individuals |
PGP000547 | Bui A et al. Front Genet (2023) |
Reported Trait: Psoriasis in genital area | β: -0.038 (0.019) | — | — | — | — |
| PPM020396 | PGS004315 (GRS-ALL) |
PSS011348| European Ancestry| 345 individuals |
PGP000547 | Bui A et al. Front Genet (2023) |
Reported Trait: Psoriasis in genital area | β: -0.037 (0.016) | — | — | — | — |
| PPM020440 | PGS004326 (PRS154_RA) |
PSS011363| European Ancestry| 342,973 individuals |
PGP000560 | Zhang J et al. Environ Health Perspect (2023) |
Reported Trait: Incident rheumatoid arthritis | HR: 1.22 [1.17, 1.27] | — | — | age, sex, UK Biobank assessment center, household income, education level, smoking status, body mass index, alcohol consumption, sedentary time, physical activity duration, healthy diet score, first 10 genetic principal components, and genotyping batch. | — |
| PPM020441 | PGS004326 (PRS154_RA) |
PSS011363| European Ancestry| 342,973 individuals |
PGP000560 | Zhang J et al. Environ Health Perspect (2023) |
Reported Trait: Incident rheumatoid arthritis with air pollution | — | — | Hazard ratio (HR, high air pollution and PRS in top tertile vs low air pollution and PRS in bottom tertile): 1.73 [1.39, 2.17] | age, sex, UK Biobank assessment center, household income, education level, smoking status, body mass index, alcohol consumption, sedentary time, physical activity duration, healthy diet score, first 10 genetic principal components, and genotyping batch. | — |
| PPM020707 | PGS004587 (PRS23_AD) |
PSS011376| European Ancestry| 337,910 individuals |
PGP000566 | Gu X et al. Ecotoxicol Environ Saf (2023) |
Reported Trait: Incident atopic dermatitis | — | — | Hazard ratio (HR, high vs low PRS): 1.153 [1.037, 1.282] | sex, age, Townsend index, moderate physical and household income | — |
| PPM020708 | PGS004587 (PRS23_AD) |
PSS011376| European Ancestry| 337,910 individuals |
PGP000566 | Gu X et al. Ecotoxicol Environ Saf (2023) |
Reported Trait: Incident atopic dermatitis with air pollution level | — | — | Hazard ratio (HR, high air pollution and high PRS vs low air pollution and low PRS): 1.523 [1.259, 1.84] | sex, age, Townsend index, moderate physical and household income | — |
| PPM020709 | PGS002755 (Atopic_dermatitis_prscs) |
PSS011376| European Ancestry| 337,910 individuals |
PGP000566 | Gu X et al. Ecotoxicol Environ Saf (2023) |Ext. |
Reported Trait: Incident atopic dermatitis | — | — | Hazard ratio (HR, high vs low PRS): 1.249 [1.123, 1.391] | sex, age, Townsend index, moderate physical and household income | — |
| PPM020710 | PGS002755 (Atopic_dermatitis_prscs) |
PSS011376| European Ancestry| 337,910 individuals |
PGP000566 | Gu X et al. Ecotoxicol Environ Saf (2023) |Ext. |
Reported Trait: Incident atopic dermatitis with air pollution level | — | — | Hazard ratio (HR, high air pollution and high PRS vs low air pollution and low PRS): 1.978 [1.624, 2.411] | sex, age, Townsend index, moderate physical and household income | — |
| PPM020918 | PGS004699 (Non-HLA-GRS) |
PSS011453| Multi-ancestry (including European)| 483,480 individuals |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.752 [0.75, 0.755] | — | Age at recruitment, sex, Townsend Deprivation Index, 4 PCs | NOTE: Performance is based on an unweighted sum of Non-HLA-GRS and HLA-GRS |
| PPM020919 | PGS004699 (Non-HLA-GRS) |
PSS011452| Multi-ancestry (including European)| 116,767 individuals |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.744 | — | Index age, reported sex, 4 PCs | NOTE: Performance is based on an unweighted sum of Non-HLA-GRS and HLA-GRS |
| PPM020920 | PGS004699 (Non-HLA-GRS) |
PSS011451| Ancestry Not Reported| 372,416 individuals |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.764 | — | Age at DNA sample collection, sex, 4 PCs | NOTE: Performance is based on an unweighted sum of Non-HLA-GRS and HLA-GRS |
| PPM020921 | PGS004699 (Non-HLA-GRS) |
PSS011454| Multi-ancestry (including European)| 545 individuals |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Reported Trait: Multiple sclerosis in individuals with undifferentiated optic neuritis | HR: 1.29 [1.07, 1.55] | — | — | Age, sex | NOTE: Performance is based on an unweighted sum of Non-HLA-GRS and HLA-GRS |
| PPM020922 | PGS004700 (HLA-GRS) |
PSS011453| Multi-ancestry (including European)| 483,480 individuals |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.752 [0.75, 0.755] | — | Age at recruitment, sex, Townsend Deprivation Index, 4 PCs | NOTE: Performance is based on an unweighted sum of Non-HLA-GRS and HLA-GRS |
| PPM020923 | PGS004700 (HLA-GRS) |
PSS011452| Multi-ancestry (including European)| 116,767 individuals |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.744 | — | Index age, reported sex, 4 PCs | NOTE: Performance is based on an unweighted sum of Non-HLA-GRS and HLA-GRS |
| PPM020924 | PGS004700 (HLA-GRS) |
PSS011451| Ancestry Not Reported| 372,416 individuals |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Reported Trait: Multiple sclerosis | — | AUROC: 0.764 | — | Age at DNA sample collection, sex, 4 PCs | NOTE: Performance is based on an unweighted sum of Non-HLA-GRS and HLA-GRS |
| PPM020925 | PGS004700 (HLA-GRS) |
PSS011454| Multi-ancestry (including European)| 545 individuals |
PGP000603 | Loginovic P et al. Nat Commun (2024) |
Reported Trait: Multiple sclerosis in individuals with undifferentiated optic neuritis | HR: 1.29 [1.07, 1.55] | — | — | Age, sex | NOTE: Performance is based on an unweighted sum of Non-HLA-GRS and HLA-GRS |
| PPM021179 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011637| European Ancestry| 412,090 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 2.37 [2.31, 2.44] | C-index: 0.77 [0.77, 0.78] | — | PCs 1-10 | — |
| PPM021042 | PGS004817 (RA_PRSmix_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Rheumatoid Arthritis | — | — | Incremental R2 (Full model versus model with only covariates): 0.008 [0.004, 0.012] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021043 | PGS004818 (RA_PRSmix_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Rheumatoid Arthritis | — | — | Incremental R2 (Full model versus model with only covariates): 0.008 [0.005, 0.012] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021044 | PGS004819 (RA_PRSmixPlus_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Rheumatoid Arthritis | — | — | Incremental R2 (Full model versus model with only covariates): 0.011 [0.007, 0.015] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021045 | PGS004820 (RA_PRSmixPlus_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Rheumatoid Arthritis | — | — | Incremental R2 (Full model versus model with only covariates): 0.009 [0.005, 0.013] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020319 | PGS004253 (uc_ldpred2) |
PSS011335| European Ancestry| 5,735 individuals |
PGP000545 | Middha P et al. Nat Commun (2024) |
Reported Trait: Ulcerative colitis | OR: 1.84 [1.76, 1.93] | AUROC: 0.66 [0.64, 0.68] | — | age at diagnosis/enrollment, sex, genotyping array, 10 PCs | — |
| PPM021124 | PGS000024 (GRS2) |
PSS011531| European Ancestry| 9,465 individuals |
PGP000614 | Qu HQ et al. Diabetes Obes Metab (2021) |Ext. |
Reported Trait: Type 1 diabetes | β: -0.22 | AUROC: 0.87 | — | — | — |
| PPM021125 | PGS000024 (GRS2) |
PSS011532| European Ancestry| 9,450 individuals |
PGP000614 | Qu HQ et al. Diabetes Obes Metab (2021) |Ext. |
Reported Trait: Type 1 diabetes | β: -0.234 | AUROC: 0.862 | — | — | — |
| PPM021165 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011635| European Ancestry| 447,332 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 1.87 [1.76, 1.99] | — | — | PCs 1-10 | — |
| PPM021166 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011634| European Ancestry| 37,986 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 2.16 [1.96, 2.37] | C-index: 0.71 [0.68, 0.74] | — | PCs 1-10 | — |
| PPM021167 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011633| European Ancestry| 69,715 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 1.59 [1.49, 1.68] | C-index: 0.64 [0.62, 0.66] | — | PCs 1-10 | — |
| PPM021168 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011632| European Ancestry| 29,427 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 2.27 [1.81, 2.84] | C-index: 0.73 [0.66, 0.8] | — | PCs 1-10 | — |
| PPM021169 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011630| European Ancestry| 44,188 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 2.13 [1.65, 2.75] | — | — | PCs 1-10 | — |
| PPM021170 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011631| European Ancestry| 7,018 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 1.83 [1.14, 2.93] | C-index: 0.85 [0.77, 0.92] | — | PCs 1-10 | — |
| PPM021171 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011629| European Ancestry| 412,090 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 1.65 [1.62, 1.69] | C-index: 0.65 [0.65, 0.66] | — | PCs 1-10 | — |
| PPM021173 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011643| European Ancestry| 447,332 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 2.11 [1.98, 2.24] | — | — | PCs 1-10 | — |
| PPM021174 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011642| European Ancestry| 32,779 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 1.41 [1.17, 1.69] | C-index: 0.69 [0.64, 0.74] | — | PCs 1-10 | — |
| PPM021175 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011641| European Ancestry| 69,715 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 1.43 [1.28, 1.59] | C-index: 0.64 [0.61, 0.67] | — | PCs 1-10 | — |
| PPM021176 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011640| European Ancestry| 29,427 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 2.09 [1.91, 2.29] | C-index: 0.75 [0.72, 0.78] | — | PCs 1-10 | — |
| PPM021335 | PGS004903 (PRS_ALL) |
PSS011691| European Ancestry| 3,212 individuals |
PGP000633 | Al-Janabi A et al. J Allergy Clin Immunol (2023) |
Reported Trait: Paradoxical eczema in individuals with psoriasis | — | — | Coefficient: 4.77 [0.58, 8.96] p: 0.026 |
— | — |
| PPM021383 | PGS004917 (wGRS) |
PSS011718| Multi-ancestry (including European)| 3,945 individuals |
PGP000648 | Cui J et al. Arthritis Rheumatol (2020) |
Reported Trait: Systemic lupus erythematosus | OR: 2.01 [1.83, 2.22] β: 0.7 (0.05) |
AUROC: 0.696 | — | — | — |
| PPM020323 | PGS004255 (GenoBoost_rheumatoid_arthritis_0) |
PSS011342| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66209 | Covariate-adjusted pseudo-R2: 0.01285 AUPRC: 0.04621 |
age, sex, PC1-10 | — |
| PPM020338 | PGS004270 (GenoBoost_inflammatory_bowel_disease_0) |
PSS011341| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.57093 | Covariate-adjusted pseudo-R2: 0.00624 AUPRC: 0.01652 |
age, sex, PC1-10 | — |
| PPM021177 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011638| European Ancestry| 44,187 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 1.05 [0.95, 1.15] | — | — | PCs 1-10 | — |
| PPM021178 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011639| European Ancestry| 7,018 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 1.56 [1.14, 2.12] | C-index: 0.73 [0.67, 0.78] | — | PCs 1-10 | — |
| PPM021172 | PGS004873 (INTERVENE_MegaPRS_RA) |
PSS011628| European Ancestry| 199,868 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident RA | HR: 1.43 [1.38, 1.49] | C-index: 0.61 [0.6, 0.62] | — | PCs 1-10 | — |
| PPM021180 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011636| European Ancestry| 199,868 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 1.64 [1.5, 1.79] | C-index: 0.68 [0.65, 0.7] | — | PCs 1-10 | — |
| PPM021725 | PGS000023 (AA_GRS) |
PSS011762| European Ancestry| 8,417 individuals |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |Ext. |
Reported Trait: Type 1 diabetes mellitus | OR: 2.31 [2.0, 2.68] | AUROC: 0.77 | — | — | — |
| PPM021718 | PGS004930 (celiac_disease_snpnet_combined) |
PSS011762| European Ancestry| 8,417 individuals |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |
Reported Trait: Celiac disease | OR: 1.52 [1.35, 1.71] | AUROC: 0.67 | — | — | — |
| PPM021728 | PGS002066 (portability-ldpred2_555.2) |
PSS011762| European Ancestry| 8,417 individuals |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |Ext. |
Reported Trait: Ulcerative colitis | OR: 1.11 [0.97, 1.28] | AUROC: 0.57 | — | — | — |
| PPM022747 | PGS005264 (graves_disease_mixed_pt) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: graves' disease | OR: 1.008 β: 0.008 |
AUROC: 0.6587 | — | — | — |
| PPM022748 | PGS005265 (graves_disease_mixed_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: graves' disease | OR: 1.62508 β: 0.48556 |
AUROC: 0.66522 | — | — | — |
| PPM022749 | PGS005266 (graves_disease_eur_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: graves' disease | OR: 1.54333 β: 0.43394 |
AUROC: 0.66373 | — | — | — |
| PPM022753 | PGS005270 (lymphocytic_thyroiditis_mixed_pt) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: lymphocytic thyroiditis | OR: 1.037 β: 0.037 |
AUROC: 0.63868 | — | — | — |
| PPM022754 | PGS005271 (lymphocytic_thyroiditis_mixed_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: lymphocytic thyroiditis | OR: 1.54908 β: 0.43766 |
AUROC: 0.62973 | — | — | — |
| PPM022755 | PGS005272 (lymphocytic_thyroiditis_eur_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: lymphocytic thyroiditis | OR: 1.41698 β: 0.34853 |
AUROC: 0.60542 | — | — | — |
| PPM023044 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Diabetes outcome (taking insulin) | — | — | Hazard ratio (HR, high vs low tertile): 1.42 [1.34, 1.51] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023045 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Diabetes outcome (DKA) | — | — | Hazard ratio (HR, high vs low tertile): 3.28 [2.76, 3.9] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023046 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Diabetes outcome (Hypoglycemia diagnosis at ED) | — | — | Hazard ratio (HR, high vs low tertile): 1.56 [1.38, 1.77] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023047 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Diabetes outcome (Outpatient glucose <50 mg/dL) | — | — | Hazard ratio (HR, high vs low tertile): 1.91 [1.76, 2.09] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023048 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Diabetes outcome (Years to insulin) | — | — | Hazard ratio (HR, high vs low tertile): 0.36 [0.31, 0.42] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023049 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Diabetes outcome (HbA1c at onset) | — | — | Hazard ratio (HR, high vs low tertile): 1.28 [1.2, 1.37] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023050 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Diabetes outcome (BMI at onset) | — | — | Hazard ratio (HR, high vs low tertile): 0.3 [0.26, 0.36] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023051 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Total cholesterol-HDL | — | — | Hazard ratio (HR, high vs low tertile): 0.17 [0.05, 0.56] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023052 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Chronic kidney disease | — | — | Hazard ratio (HR, high vs low tertile): 1.08 [1.02, 1.15] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023053 | PGS000021 (GRS1) |
PSS012104| Multi-ancestry (including European)| 109,594 individuals |
PGP000764 | Yang PK et al. Diabetes Care (2024) |Ext. |
Reported Trait: Atrial fibrillation | — | — | Hazard ratio (HR, high vs low tertile): 0.91 [0.84, 0.98] | sex, age, HARE ancestry, and BMI at enrollment | — |
| PPM023015 | PGS005307 (GWS) |
PSS012098| European Ancestry| 9,426 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis | OR: 1.19 [1.12, 1.26] | — | — | — | — |
| PPM023016 | PGS005308 (GWS-noHLA) |
PSS012098| European Ancestry| 9,426 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis | OR: 1.22 [1.15, 1.3] | — | — | — | — |
| PPM023017 | PGS005309 (Full) |
PSS012098| European Ancestry| 9,426 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis | OR: 1.33 [1.25, 1.41] | — | — | — | — |
| PPM023018 | PGS005310 (Full-noHLA) |
PSS012098| European Ancestry| 9,426 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis | OR: 1.4 [1.32, 1.49] | — | — | — | — |
| PPM023019 | PGS005307 (GWS) |
PSS012094| European Ancestry| 14,167 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis | OR: 1.44 [1.36, 1.51] | — | — | — | — |
| PPM023020 | PGS005308 (GWS-noHLA) |
PSS012094| European Ancestry| 14,167 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis | OR: 1.25 [1.18, 1.31] | — | — | — | — |
| PPM023021 | PGS005309 (Full) |
PSS012094| European Ancestry| 14,167 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis | OR: 1.49 [1.41, 1.57] | — | — | — | — |
| PPM023022 | PGS005310 (Full-noHLA) |
PSS012094| European Ancestry| 14,167 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis | OR: 1.38 [1.31, 1.45] | — | — | — | — |
| PPM023023 | PGS005307 (GWS) |
PSS012096| European Ancestry| 8,603 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis | OR: 1.26 [1.19, 1.33] | — | — | — | — |
| PPM023024 | PGS005308 (GWS-noHLA) |
PSS012096| European Ancestry| 8,603 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis | OR: 1.23 [1.17, 1.31] | — | — | — | — |
| PPM023025 | PGS005309 (Full) |
PSS012096| European Ancestry| 8,603 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis | OR: 1.29 [1.22, 1.36] | — | — | — | — |
| PPM023026 | PGS005310 (Full-noHLA) |
PSS012096| European Ancestry| 8,603 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis | OR: 1.25 [1.19, 1.33] | — | — | — | — |
| PPM023027 | PGS005307 (GWS) |
PSS012095| European Ancestry| 12,708 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis | OR: 1.22 [1.17, 1.26] | — | — | — | — |
| PPM023028 | PGS005308 (GWS-noHLA) |
PSS012095| European Ancestry| 12,708 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis | OR: 1.19 [1.15, 1.24] | — | — | — | — |
| PPM023029 | PGS005309 (Full) |
PSS012095| European Ancestry| 12,708 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis | OR: 1.23 [1.18, 1.27] | — | — | — | — |
| PPM023030 | PGS005310 (Full-noHLA) |
PSS012095| European Ancestry| 12,708 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis | OR: 1.23 [1.18, 1.28] | — | — | — | — |
| PPM023031 | PGS005311 (Full_subset) |
PSS012093| European Ancestry| 13,577 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis (BSTOP) vs. any psoriasis (UKB) | — | — | Percentage of cases with risk >95th percentile of UKB psoraisis cases: 15.3 | — | — |
| PPM023032 | PGS005312 (Full-noHLA_subset) |
PSS012093| European Ancestry| 13,577 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis (BSTOP) vs. any psoriasis (UKB) | — | — | Percentage of cases with risk >95th percentile of UKB psoraisis cases: 15.3 | — | — |
| PPM023033 | PGS005311 (Full_subset) |
PSS012097| European Ancestry| 10,887 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis (Novartis) vs. any psoriasis (UKB) | — | — | Percentage of cases with risk >95th percentile of UKB psoraisis cases: 11.6 | — | — |
| PPM023034 | PGS005312 (Full-noHLA_subset) |
PSS012097| European Ancestry| 10,887 individuals |
PGP000760 | Saklatvala JR et al. Genome Med (2025) |
Reported Trait: Severe psoriasis (Novartis) vs. any psoriasis (UKB) | — | — | Percentage of cases with risk >95th percentile of UKB psoraisis cases: 11.5 | — | — |
| PPM023441 | PGS005398 (T1D_PRS_combined) |
PSS012186| European Ancestry| 2,771 individuals |
PGP000781 | Qu HQ et al. Diabetes Res Clin Pract (2026) |
Reported Trait: Type 1 diabetes diagnosis | OR: 1.586 [1.42, 1.771] | AUROC: 0.629 [0.6, 0.658] | — | — | — |
| PPM023442 | PGS005399 (T1D_PRS_male) |
PSS012188| European Ancestry| 1,435 individuals |
PGP000781 | Qu HQ et al. Diabetes Res Clin Pract (2026) |
Reported Trait: Type 1 diabetes diagnosis | OR: 1.896 [1.627, 2.21] | AUROC: 0.668 [0.629, 0.707] | delta AUC (sex‑specific-all‑samples): 0.0444 [0.0341, 0.0546] | — | DeLong's test (2‑correlated ROC curves): Z = -8.4547, p < 2.2 × 10⁻¹⁶ ; Bootstrap test (2,000 stratified replicates): D = -8.3838, p < 2.2 × 10⁻¹⁶ |
| PPM023443 | PGS005400 (T1D_PRS_female) |
PSS012187| European Ancestry| 1,336 individuals |
PGP000781 | Qu HQ et al. Diabetes Res Clin Pract (2026) |
Reported Trait: Type 1 diabetes diagnosis | OR: 2.316 [1.962, 2.732] | AUROC: 0.719 [0.682, 0.756] | delta AUC (sex‑specific-all‑samples): 0.084 [0.0646, 0.1035] | — | DeLong's test (2‑correlated ROC curves): Z = -8.4667, p < 2.2 × 10⁻¹⁶; Bootstrap test (2,000 stratified replicates): D = -8.3857, p < 2.2 × 10⁻¹⁶ |
| PPM030675 | PGS012555 (TA-PS) |
PSS012239| African Ancestry| 1,687 individuals |
PGP000798 | Jumentier B et al. Diabetologia (2026) |
Reported Trait: type 1 diabetes | — | AUROC: 0.729 [0.699, 0.759] | — | — | sensitivity (%, cutoff of 10) = 0.310, specificity (%, cutoff of 10) = 0.941, F1 score = 0.409 |
| PPM030676 | PGS012555 (TA-PS) |
PSS012240| European Ancestry| 2,828 individuals |
PGP000798 | Jumentier B et al. Diabetologia (2026) |
Reported Trait: type 1 diabetes | — | AUROC: 0.777 [0.754, 0.8] | — | — | sensitivity (%, cutoff of 10) = 0.409, specificity (%, cutoff of 10) = 0.900, F1 score = 0.428 |
| PPM030677 | PGS012555 (TA-PS) |
PSS012242| South Asian Ancestry| 315 individuals |
PGP000798 | Jumentier B et al. Diabetologia (2026) |
Reported Trait: type 1 diabetes | — | AUROC: 0.736 [0.644, 0.829] | — | — | sensitivity (%, cutoff of 10) = 0.333, specificity (%, cutoff of 10) = 0.883, F1 score = 0.270 |
| PPM030678 | PGS012555 (TA-PS) |
PSS012241| Additional Diverse Ancestries| 1,285 individuals |
PGP000798 | Jumentier B et al. Diabetologia (2026) |
Reported Trait: type 1 diabetes | — | AUROC: 0.72 [0.678, 0.762] | — | — | sensitivity (%, cutoff of 10) = 0.366, specificity (%, cutoff of 10) = 0.913, F1 score = 0.399 |
| PPM030679 | PGS012555 (TA-PS) |
PSS012243| East Asian Ancestry| 596 individuals |
PGP000798 | Jumentier B et al. Diabetologia (2026) |
Reported Trait: type 1 diabetes | — | AUROC: 0.81 [0.775, 0.844] | — | — | sensitivity (%, cutoff of 10) = 0.527, specificity (%, cutoff of 10) = 0.897, F1 score = 0.646 |
| PPM030681 | PGS012555 (TA-PS) |
PSS012237| Hispanic or Latin American Ancestry| 18,753 individuals |
PGP000798 | Jumentier B et al. Diabetologia (2026) |
Reported Trait: type 1 diabetes | — | AUROC: 0.688 [0.654, 0.688] | — | — | sensitivity (%, cutoff of 10) = 0.329, specificity (%, cutoff of 10) = 0.903, F1 score = 0.069 |
| PPM030682 | PGS012555 (TA-PS) |
PSS012235| African Ancestry| 14,974 individuals |
PGP000798 | Jumentier B et al. Diabetologia (2026) |
Reported Trait: type 1 diabetes | — | AUROC: 0.652 [0.61, 0.652] | — | — | sensitivity (%, cutoff of 10) = 0.335, specificity (%, cutoff of 10) = 0.903, F1 score = 0.080 |
| PPM030683 | PGS012555 (TA-PS) |
PSS012238| Multi-ancestry (including European)| 86,010 individuals |
PGP000798 | Jumentier B et al. Diabetologia (2026) |
Reported Trait: type 1 diabetes | — | AUROC: 0.752 [0.735, 0.769] | — | — | sensitivity (%, cutoff of 10) = 0.460, specificity (%, cutoff of 10) = 0.904, F1 score = 0.096 |
| PPM030684 | PGS012555 (TA-PS) |
PSS012244| European Ancestry| 406,390 individuals |
PGP000798 | Jumentier B et al. Diabetologia (2026) |
Reported Trait: type 1 diabetes | — | AUROC: 0.857 [0.842, 0.873] | — | — | sensitivity (%, cutoff of 10) = 0.669, specificity (%, cutoff of 10) = 0.900, F1 score = 0.024 |
| PPM030709 | PGS000021 (GRS1) |
PSS012260| European Ancestry| 158 individuals |
PGP000807 | Davis TME et al. Intern Med J (2024) |Ext. |
Reported Trait: Type 1 diabetes vs latent autoimmune diabetes/type 2 diabetes | — | AUROC: 0.662 [0.567, 0.756] | — | — | — |
| PPM030680 | PGS012555 (TA-PS) |
PSS012236| European Ancestry| 52,283 individuals |
PGP000798 | Jumentier B et al. Diabetologia (2026) |
Reported Trait: type 1 diabetes | — | AUROC: 0.821 [0.8, 0.821] | — | — | sensitivity (%, cutoff of 10) = 0.597, specificity (%, cutoff of 10) = 0.905, F1 score = 0.116 |
| PPM036823 | PGS018641 (TPMI_228_LDpred2) |
PSS012542| East Asian Ancestry| 19,931 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hemangioma and lymphangioma any site | — | AUROC: 0.69822 | R²: 0.01417 | sex, age, array, PCs 1-10 | — |
| PPM036825 | PGS018643 (TPMI_228_PRS-CS) |
PSS012545| East Asian Ancestry| 19,931 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hemangioma and lymphangioma any site | — | AUROC: 0.69929 | R²: 0.01429 | sex, age, array, PCs 1-10 | — |
| PPM036853 | PGS018671 (TPMI_242.1_Lassosum2) |
PSS012568| East Asian Ancestry| 17,305 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Graves disease | — | AUROC: 0.74792 | R²: 0.03286 | sex, age, array, PCs 1-10 | — |
| PPM036855 | PGS018673 (TPMI_242.1_MegaPRS) |
PSS012569| East Asian Ancestry| 17,305 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Graves disease | — | AUROC: 0.75062 | R²: 0.03216 | sex, age, array, PCs 1-10 | — |
| PPM036857 | PGS018675 (TPMI_242.1_PRSmix+) |
PSS012571| East Asian Ancestry| 17,305 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Graves disease | — | AUROC: 0.75988 | R²: 0.03585 | sex, age, array, PCs 1-10 | — |
| PPM036877 | PGS018695 (TPMI_245.2_Lassosum2) |
PSS012598| East Asian Ancestry| 17,340 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic thyroiditis | — | AUROC: 0.80731 | R²: 0.04802 | sex, age, array, PCs 1-10 | — |
| PPM037457 | PGS019275 (TPMI_476_Lassosum2) |
PSS013178| East Asian Ancestry| 17,583 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Allergic rhinitis | — | AUROC: 0.66159 | R²: 0.1223 | sex, age, array, PCs 1-10 | — |
| PPM037458 | PGS019276 (TPMI_476_LDpred2) |
PSS013177| East Asian Ancestry| 17,583 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Allergic rhinitis | — | AUROC: 0.66228 | R²: 0.12353 | sex, age, array, PCs 1-10 | — |
| PPM037459 | PGS019277 (TPMI_476_MegaPRS) |
PSS013179| East Asian Ancestry| 17,583 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Allergic rhinitis | — | AUROC: 0.66233 | R²: 0.12293 | sex, age, array, PCs 1-10 | — |
| PPM037460 | PGS019278 (TPMI_476_PRS-CS) |
PSS013180| East Asian Ancestry| 17,583 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Allergic rhinitis | — | AUROC: 0.66181 | R²: 0.12306 | sex, age, array, PCs 1-10 | — |
| PPM037461 | PGS019279 (TPMI_476_SBayesR) |
PSS013181| East Asian Ancestry| 17,583 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Allergic rhinitis | — | AUROC: 0.66246 | R²: 0.12377 | sex, age, array, PCs 1-10 | — |
| PPM037775 | PGS019593 (TPMI_695.4_Lassosum2) |
PSS013496| East Asian Ancestry| 18,341 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Lupus localized and systemic | — | AUROC: 0.86928 | R²: 0.16491 | sex, age, array, PCs 1-10 | — |
| PPM037776 | PGS019594 (TPMI_695.4_LDpred2) |
PSS013495| East Asian Ancestry| 18,341 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Lupus localized and systemic | — | AUROC: 0.87217 | R²: 0.16862 | sex, age, array, PCs 1-10 | — |
| PPM037777 | PGS019595 (TPMI_695.4_MegaPRS) |
PSS013497| East Asian Ancestry| 18,341 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Lupus localized and systemic | — | AUROC: 0.86402 | R²: 0.15741 | sex, age, array, PCs 1-10 | — |
| PPM037778 | PGS019596 (TPMI_695.4_PRS-CS) |
PSS013498| East Asian Ancestry| 18,341 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Lupus localized and systemic | — | AUROC: 0.8675 | R²: 0.16203 | sex, age, array, PCs 1-10 | — |
| PPM037779 | PGS019597 (TPMI_695.4_PRSmix+) |
PSS013499| East Asian Ancestry| 18,341 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Lupus localized and systemic | — | AUROC: 0.87785 | R²: 0.17391 | sex, age, array, PCs 1-10 | — |
| PPM037780 | PGS019598 (TPMI_695.4_SBayesR) |
PSS013500| East Asian Ancestry| 18,341 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Lupus localized and systemic | — | AUROC: 0.86676 | R²: 0.15951 | sex, age, array, PCs 1-10 | — |
| PPM037781 | PGS019599 (TPMI_695.42_Lassosum2) |
PSS013490| East Asian Ancestry| 18,328 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.87303 | R²: 0.16342 | sex, age, array, PCs 1-10 | — |
| PPM037782 | PGS019600 (TPMI_695.42_LDpred2) |
PSS013489| East Asian Ancestry| 18,328 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.87535 | R²: 0.1665 | sex, age, array, PCs 1-10 | — |
| PPM037783 | PGS019601 (TPMI_695.42_MegaPRS) |
PSS013491| East Asian Ancestry| 18,328 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.86743 | R²: 0.15497 | sex, age, array, PCs 1-10 | — |
| PPM037784 | PGS019602 (TPMI_695.42_PRS-CS) |
PSS013492| East Asian Ancestry| 18,328 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.87012 | R²: 0.15989 | sex, age, array, PCs 1-10 | — |
| PPM037785 | PGS019603 (TPMI_695.42_PRSmix+) |
PSS013493| East Asian Ancestry| 18,328 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.88213 | R²: 0.17211 | sex, age, array, PCs 1-10 | — |
| PPM037786 | PGS019604 (TPMI_695.42_SBayesR) |
PSS013494| East Asian Ancestry| 18,328 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Systemic lupus erythematosus | — | AUROC: 0.87186 | R²: 0.1582 | sex, age, array, PCs 1-10 | — |
| PPM037787 | PGS019605 (TPMI_696_Lassosum2) |
PSS013526| East Asian Ancestry| 17,380 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriasis and related disorders | — | AUROC: 0.7941 | R²: 0.08516 | sex, age, array, PCs 1-10 | — |
| PPM037788 | PGS019606 (TPMI_696_LDpred2) |
PSS013525| East Asian Ancestry| 17,380 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriasis and related disorders | — | AUROC: 0.79605 | R²: 0.08705 | sex, age, array, PCs 1-10 | — |
| PPM037789 | PGS019607 (TPMI_696_MegaPRS) |
PSS013527| East Asian Ancestry| 17,380 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriasis and related disorders | — | AUROC: 0.76905 | R²: 0.06926 | sex, age, array, PCs 1-10 | — |
| PPM037790 | PGS019608 (TPMI_696_PRS-CS) |
PSS013528| East Asian Ancestry| 17,380 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriasis and related disorders | — | AUROC: 0.786 | R²: 0.08181 | sex, age, array, PCs 1-10 | — |
| PPM037792 | PGS019610 (TPMI_696_SBayesR) |
PSS013530| East Asian Ancestry| 17,380 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriasis and related disorders | — | AUROC: 0.78953 | R²: 0.08194 | sex, age, array, PCs 1-10 | — |
| PPM037793 | PGS019611 (TPMI_696.4_Lassosum2) |
PSS013520| East Asian Ancestry| 17,370 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriasis | — | AUROC: 0.79825 | R²: 0.07798 | sex, age, array, PCs 1-10 | — |
| PPM037794 | PGS019612 (TPMI_696.4_LDpred2) |
PSS013519| East Asian Ancestry| 17,370 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriasis | — | AUROC: 0.80085 | R²: 0.07986 | sex, age, array, PCs 1-10 | — |
| PPM037795 | PGS019613 (TPMI_696.4_MegaPRS) |
PSS013521| East Asian Ancestry| 17,370 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriasis | — | AUROC: 0.77026 | R²: 0.06248 | sex, age, array, PCs 1-10 | — |
| PPM037796 | PGS019614 (TPMI_696.4_PRS-CS) |
PSS013522| East Asian Ancestry| 17,370 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriasis | — | AUROC: 0.79208 | R²: 0.07383 | sex, age, array, PCs 1-10 | — |
| PPM037797 | PGS019615 (TPMI_696.4_PRSmix+) |
PSS013523| East Asian Ancestry| 17,370 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriasis | — | AUROC: 0.81274 | R²: 0.08633 | sex, age, array, PCs 1-10 | — |
| PPM037798 | PGS019616 (TPMI_696.4_SBayesR) |
PSS013524| East Asian Ancestry| 17,370 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriasis | — | AUROC: 0.79236 | R²: 0.07441 | sex, age, array, PCs 1-10 | — |
| PPM037799 | PGS019617 (TPMI_696.41_Lassosum2) |
PSS013508| East Asian Ancestry| 17,325 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriasis vulgaris | — | AUROC: 0.81124 | R²: 0.072 | sex, age, array, PCs 1-10 | — |
| PPM037800 | PGS019618 (TPMI_696.41_LDpred2) |
PSS013507| East Asian Ancestry| 17,325 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriasis vulgaris | — | AUROC: 0.81009 | R²: 0.07253 | sex, age, array, PCs 1-10 | — |
| PPM037801 | PGS019619 (TPMI_696.41_MegaPRS) |
PSS013509| East Asian Ancestry| 17,325 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriasis vulgaris | — | AUROC: 0.77348 | R²: 0.05411 | sex, age, array, PCs 1-10 | — |
| PPM037802 | PGS019620 (TPMI_696.41_PRS-CS) |
PSS013510| East Asian Ancestry| 17,325 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriasis vulgaris | — | AUROC: 0.7987 | R²: 0.06619 | sex, age, array, PCs 1-10 | — |
| PPM037803 | PGS019621 (TPMI_696.41_PRSmix+) |
PSS013511| East Asian Ancestry| 17,325 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriasis vulgaris | — | AUROC: 0.82206 | R²: 0.07724 | sex, age, array, PCs 1-10 | — |
| PPM037805 | PGS019623 (TPMI_696.42_Lassosum2) |
PSS013514| East Asian Ancestry| 17,217 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.83174 | R²: 0.03895 | sex, age, array, PCs 1-10 | — |
| PPM037806 | PGS019624 (TPMI_696.42_LDpred2) |
PSS013513| East Asian Ancestry| 17,217 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.83711 | R²: 0.04078 | sex, age, array, PCs 1-10 | — |
| PPM037807 | PGS019625 (TPMI_696.42_MegaPRS) |
PSS013515| East Asian Ancestry| 17,217 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.79524 | R²: 0.03003 | sex, age, array, PCs 1-10 | — |
| PPM037808 | PGS019626 (TPMI_696.42_PRS-CS) |
PSS013516| East Asian Ancestry| 17,217 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.83564 | R²: 0.03999 | sex, age, array, PCs 1-10 | — |
| PPM037809 | PGS019627 (TPMI_696.42_PRSmix+) |
PSS013517| East Asian Ancestry| 17,217 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.83983 | R²: 0.03876 | sex, age, array, PCs 1-10 | — |
| PPM037810 | PGS019628 (TPMI_696.42_SBayesR) |
PSS013518| East Asian Ancestry| 17,217 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriatic arthropathy | — | AUROC: 0.81945 | R²: 0.0345 | sex, age, array, PCs 1-10 | — |
| PPM037827 | PGS019645 (TPMI_709.2_Lassosum2) |
PSS013542| East Asian Ancestry| 18,012 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Sicca syndrome | — | AUROC: 0.77927 | R²: 0.24978 | sex, age, array, PCs 1-10 | — |
| PPM037828 | PGS019646 (TPMI_709.2_LDpred2) |
PSS013541| East Asian Ancestry| 18,012 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Sicca syndrome | — | AUROC: 0.78396 | R²: 0.25747 | sex, age, array, PCs 1-10 | — |
| PPM037829 | PGS019647 (TPMI_709.2_MegaPRS) |
PSS013543| East Asian Ancestry| 18,012 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Sicca syndrome | — | AUROC: 0.77815 | R²: 0.24514 | sex, age, array, PCs 1-10 | — |
| PPM037831 | PGS019649 (TPMI_709.2_PRSmix+) |
PSS013545| East Asian Ancestry| 18,012 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Sicca syndrome | — | AUROC: 0.78759 | R²: 0.26384 | sex, age, array, PCs 1-10 | — |
| PPM037832 | PGS019650 (TPMI_709.2_SBayesR) |
PSS013546| East Asian Ancestry| 18,012 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Sicca syndrome | — | AUROC: 0.77877 | R²: 0.2473 | sex, age, array, PCs 1-10 | — |
| PPM037839 | PGS019657 (TPMI_714_LDpred2) |
PSS013563| East Asian Ancestry| 19,066 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis and other inflammatory polyarthropathies | — | AUROC: 0.7628 | R²: 0.19137 | sex, age, array, PCs 1-10 | — |
| PPM037840 | PGS019658 (TPMI_714_MegaPRS) |
PSS013565| East Asian Ancestry| 19,066 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis and other inflammatory polyarthropathies | — | AUROC: 0.75343 | R²: 0.1741 | sex, age, array, PCs 1-10 | — |
| PPM037841 | PGS019659 (TPMI_714_PRS-CS) |
PSS013566| East Asian Ancestry| 19,066 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis and other inflammatory polyarthropathies | — | AUROC: 0.76264 | R²: 0.18871 | sex, age, array, PCs 1-10 | — |
| PPM037842 | PGS019660 (TPMI_714_SBayesR) |
PSS013567| East Asian Ancestry| 19,066 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis and other inflammatory polyarthropathies | — | AUROC: 0.75305 | R²: 0.17652 | sex, age, array, PCs 1-10 | — |
| PPM037843 | PGS019661 (TPMI_714.1_Lassosum2) |
PSS013559| East Asian Ancestry| 18,806 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.77575 | R²: 0.1637 | sex, age, array, PCs 1-10 | — |
| PPM037844 | PGS019662 (TPMI_714.1_LDpred2) |
PSS013558| East Asian Ancestry| 18,806 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.78037 | R²: 0.17074 | sex, age, array, PCs 1-10 | — |
| PPM037845 | PGS019663 (TPMI_714.1_MegaPRS) |
PSS013560| East Asian Ancestry| 18,806 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.76224 | R²: 0.14485 | sex, age, array, PCs 1-10 | — |
| PPM037846 | PGS019664 (TPMI_714.1_PRS-CS) |
PSS013561| East Asian Ancestry| 18,806 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.77497 | R²: 0.16025 | sex, age, array, PCs 1-10 | — |
| PPM037847 | PGS019665 (TPMI_714.1_SBayesR) |
PSS013562| East Asian Ancestry| 18,806 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis | — | AUROC: 0.76827 | R²: 0.15327 | sex, age, array, PCs 1-10 | — |
| PPM037853 | PGS019671 (TPMI_715.2_Lassosum2) |
PSS013569| East Asian Ancestry| 18,296 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.86947 | R²: 0.25284 | sex, age, array, PCs 1-10 | — |
| PPM037854 | PGS019672 (TPMI_715.2_LDpred2) |
PSS013568| East Asian Ancestry| 18,296 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.86298 | R²: 0.23372 | sex, age, array, PCs 1-10 | — |
| PPM037855 | PGS019673 (TPMI_715.2_MegaPRS) |
PSS013570| East Asian Ancestry| 18,296 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.85382 | R²: 0.13327 | sex, age, array, PCs 1-10 | — |
| PPM037856 | PGS019674 (TPMI_715.2_PRS-CS) |
PSS013571| East Asian Ancestry| 18,296 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.86714 | R²: 0.24903 | sex, age, array, PCs 1-10 | — |
| PPM037857 | PGS019675 (TPMI_715.2_PRSmix+) |
PSS013572| East Asian Ancestry| 18,296 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.86288 | R²: 0.2427 | sex, age, array, PCs 1-10 | — |
| PPM036822 | PGS018640 (TPMI_228_Lassosum2) |
PSS012543| East Asian Ancestry| 19,931 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hemangioma and lymphangioma any site | — | AUROC: 0.69821 | R²: 0.01403 | sex, age, array, PCs 1-10 | — |
| PPM036824 | PGS018642 (TPMI_228_MegaPRS) |
PSS012544| East Asian Ancestry| 19,931 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hemangioma and lymphangioma any site | — | AUROC: 0.69622 | R²: 0.0139 | sex, age, array, PCs 1-10 | — |
| PPM036826 | PGS018644 (TPMI_228_SBayesR) |
PSS012546| East Asian Ancestry| 19,931 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hemangioma and lymphangioma any site | — | AUROC: 0.69698 | R²: 0.01388 | sex, age, array, PCs 1-10 | — |
| PPM036854 | PGS018672 (TPMI_242.1_LDpred2) |
PSS012567| East Asian Ancestry| 17,305 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Graves disease | — | AUROC: 0.75387 | R²: 0.03447 | sex, age, array, PCs 1-10 | — |
| PPM036856 | PGS018674 (TPMI_242.1_PRS-CS) |
PSS012570| East Asian Ancestry| 17,305 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Graves disease | — | AUROC: 0.74562 | R²: 0.03194 | sex, age, array, PCs 1-10 | — |
| PPM036858 | PGS018676 (TPMI_242.1_SBayesR) |
PSS012572| East Asian Ancestry| 17,305 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Graves disease | — | AUROC: 0.74098 | R²: 0.03008 | sex, age, array, PCs 1-10 | — |
| PPM036878 | PGS018696 (TPMI_245.2_LDpred2) |
PSS012597| East Asian Ancestry| 17,340 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic thyroiditis | — | AUROC: 0.81251 | R²: 0.04969 | sex, age, array, PCs 1-10 | — |
| PPM036879 | PGS018697 (TPMI_245.2_MegaPRS) |
PSS012599| East Asian Ancestry| 17,340 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic thyroiditis | — | AUROC: 0.80531 | R²: 0.04823 | sex, age, array, PCs 1-10 | — |
| PPM036880 | PGS018698 (TPMI_245.2_PRS-CS) |
PSS012600| East Asian Ancestry| 17,340 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic thyroiditis | — | AUROC: 0.81019 | R²: 0.04915 | sex, age, array, PCs 1-10 | — |
| PPM036881 | PGS018699 (TPMI_245.2_PRSmix+) |
PSS012601| East Asian Ancestry| 17,340 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic thyroiditis | — | AUROC: 0.81625 | R²: 0.05203 | sex, age, array, PCs 1-10 | — |
| PPM036882 | PGS018700 (TPMI_245.2_SBayesR) |
PSS012602| East Asian Ancestry| 17,340 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic thyroiditis | — | AUROC: 0.80447 | R²: 0.04689 | sex, age, array, PCs 1-10 | — |
| PPM036883 | PGS018701 (TPMI_245.21_Lassosum2) |
PSS012592| East Asian Ancestry| 17,333 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic lymphocytic thyroiditis | — | AUROC: 0.8083 | R²: 0.04684 | sex, age, array, PCs 1-10 | — |
| PPM036884 | PGS018702 (TPMI_245.21_LDpred2) |
PSS012591| East Asian Ancestry| 17,333 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic lymphocytic thyroiditis | — | AUROC: 0.81429 | R²: 0.04859 | sex, age, array, PCs 1-10 | — |
| PPM036885 | PGS018703 (TPMI_245.21_MegaPRS) |
PSS012593| East Asian Ancestry| 17,333 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic lymphocytic thyroiditis | — | AUROC: 0.80609 | R²: 0.04681 | sex, age, array, PCs 1-10 | — |
| PPM036886 | PGS018704 (TPMI_245.21_PRS-CS) |
PSS012594| East Asian Ancestry| 17,333 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic lymphocytic thyroiditis | — | AUROC: 0.80804 | R²: 0.04631 | sex, age, array, PCs 1-10 | — |
| PPM036887 | PGS018705 (TPMI_245.21_PRSmix+) |
PSS012595| East Asian Ancestry| 17,333 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic lymphocytic thyroiditis | — | AUROC: 0.81711 | R²: 0.05007 | sex, age, array, PCs 1-10 | — |
| PPM036888 | PGS018706 (TPMI_245.21_SBayesR) |
PSS012596| East Asian Ancestry| 17,333 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic lymphocytic thyroiditis | — | AUROC: 0.8053 | R²: 0.04581 | sex, age, array, PCs 1-10 | — |
| PPM037791 | PGS019609 (TPMI_696_PRSmix+) |
PSS013529| East Asian Ancestry| 17,380 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriasis and related disorders | — | AUROC: 0.80922 | R²: 0.09389 | sex, age, array, PCs 1-10 | — |
| PPM037804 | PGS019622 (TPMI_696.41_SBayesR) |
PSS013512| East Asian Ancestry| 17,325 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Psoriasis vulgaris | — | AUROC: 0.80295 | R²: 0.06762 | sex, age, array, PCs 1-10 | — |
| PPM037830 | PGS019648 (TPMI_709.2_PRS-CS) |
PSS013544| East Asian Ancestry| 18,012 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Sicca syndrome | — | AUROC: 0.78347 | R²: 0.25531 | sex, age, array, PCs 1-10 | — |
| PPM037838 | PGS019656 (TPMI_714_Lassosum2) |
PSS013564| East Asian Ancestry| 19,066 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Rheumatoid arthritis and other inflammatory polyarthropathies | — | AUROC: 0.75949 | R²: 0.18539 | sex, age, array, PCs 1-10 | — |
| PPM037858 | PGS019676 (TPMI_715.2_SBayesR) |
PSS013573| East Asian Ancestry| 18,296 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Ankylosing spondylitis | — | AUROC: 0.86099 | R²: 0.17524 | sex, age, array, PCs 1-10 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS009164 | — | — | 1,354 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS007251 | — | — | 1,401 individuals | — | African unspecified | — | UKB | — |
| PSS007252 | — | — | 592 individuals | — | East Asian | — | UKB | — |
| PSS007253 | — | — | 5,147 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007254 | — | — | 1,451 individuals | — | South Asian | — | UKB | — |
| PSS007255 | — | — | 13,999 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS011451 | — | — | [
|
— | Not reported | — | FinnGen | — |
| PSS011452 | — | — | [
|
— | European | — | MyCode | — |
| PSS011452 | — | — | [
|
— | Not reported | — | MyCode | — |
| PSS011453 | — | — | [
|
— | European | — | UKB | — |
| PSS011453 | — | — | [
|
— | Not reported | — | UKB | — |
| PSS011454 | — | — | 462 individuals | — | European | — | UKB | — |
| PSS011454 | — | — | 83 individuals | — | Not reported | — | UKB | — |
| PSS000016 | Inflammatory bowel disease ascertainment was based on report in an interview with a trained nurse, or an ICD-9 code of 555.X or ICD-10 code of K51.X in hospitalization records. | — | [
|
— | European | — | UKB | UKB Phase 2 |
| PSS000026 | Cases were defined on the presence or absence of severe insulin deficiency (requiring insulin treatment at 3 years after diagnosis). We cate- gorized people as severely insulin defi- cient if they received continuous insulin treatment at ,3 years from the time of diagnosis and had a low measured C-peptide level (nonfasting measured ,0.6 nmol/L or equivalent fasting blood glucose level or posthome meal urine C-peptide–to–creatinine ratio) | — | [ ,
46.3 % Male samples |
— | European | — | P2ID | A cross-sectional cohort of people in whom diabetes was diagnosed between the ages of 20 and 40 years (n = 223), who had had diabetes for .3 years, and who had self-reported as white European from Devon and Cornwall in South West England. Known monogenic diabetes and secondary diabetes pa- tients were excluded. |
| PSS000027 | Type 1 diabetes status was assigned according to clinician diagnosis. | — | [ ,
33.78 % Male samples |
— | African American or Afro-Caribbean | — | UFDI | Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses. |
| PSS000028 | Type 1 diabetes status was assigned according to clinician diagnosis. | — | [ ,
44.84 % Male samples |
— | Hispanic or Latin American | Samples labeled Caucasian (Hispanic ethnicity) in the original publication. | UFDI | Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses. |
| PSS000029 | Type 1 diabetes status was assigned according to clinician diagnosis. | — | [ ,
47.34 % Male samples |
— | European | Samples labeled Caucasian (non-Hispanic) in the original publication. | UFDI | Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses. |
| PSS000030 | — | — | [
|
— | African unspecified | — | 7 cohorts
|
— |
| PSS000031 | Cases are diagnosed with type 1 diabetes. | — | [
|
— | African unspecified | — | UOF | — |
| PSS000032 | Type 1 Diabetes Case Definition = Clinical diagnosis of diabetes at less than or equal to 20 years of age; On insulin within 1 year from the time of diagnosis; Still on insulin at the time of recruit- ment; Not using oral antihyperglycemic agents; Did not ever self-report as having type 2 diabetes (T2D) | — | [
|
— | European | — | UKB | — |
| PSS009280 | — | — | 19,539 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009287 | — | — | 18,975 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009301 | — | — | 19,299 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011465 | — | — | 9,462 individuals | — | European | — | AllofUs | — |
| PSS011474 | — | — | 8,837 individuals | — | South Asian | — | G&H | — |
| PSS012595 | 245.2,E06.3 | — | [ ,
49.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012596 | 245.2,E06.3 | — | [ ,
49.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012235 | — | — | [
|
— | African American or Afro-Caribbean | — | AllofUs | — |
| PSS012236 | — | — | [
|
— | European | — | AllofUs | — |
| PSS012237 | — | — | [
|
— | Hispanic or Latin American | — | AllofUs | — |
| PSS009330 | — | — | 16,188 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009331 | — | — | 16,106 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS012238 | — | — | [
|
— | African American or Afro-Caribbean | — | AllofUs | — |
| PSS012239 | — | — | [
|
— | African American or Afro-Caribbean | — | CHOP | — |
| PSS012240 | — | — | [
|
— | European | — | CHOP | — |
| PSS012241 | — | — | [
|
— | Other admixed ancestry | — | CHOP | — |
| PSS012242 | — | — | [
|
— | South Asian | — | CHOP | — |
| PSS012243 | — | — | [
|
— | East Asian | — | GRACE | — |
| PSS012238 | — | — | [
|
— | Hispanic or Latin American | — | AllofUs | — |
| PSS012238 | — | — | [
|
— | European | — | AllofUs | — |
| PSS012244 | — | — | [
|
— | European | — | UKB | — |
| PSS009346 | — | — | 19,585 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009347 | — | — | 19,615 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009352 | — | — | 18,393 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009353 | — | — | 18,262 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009362 | — | — | 19,352 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS000059 | — | — | [
|
— | European (Finnish) |
— | FINRISK, Health2000 | — |
| PSS000060 | — | — | [
|
— | European (British) |
— | NR | Immunochip |
| PSS000061 | — | — | [
|
— | European (Italian) |
— | NR | — |
| PSS000062 | — | — | [
|
— | European (Dutch) |
— | NR | — |
| PSS000063 | — | — | [
|
— | European (British) |
— | NR | — |
| PSS000064 | — | — | [
|
— | European | — | NIDDK | — |
| PSS000065 | The HLA-DQ2.5-positive subset of NIDDK-CIDR | — | [
|
— | European | — | NIDDK | HLA alleles were imputed using SNP2HLA |
| PSS012260 | — | — | 158 individuals | — | European | — | FDS | — |
| PSS009390 | — | — | 7,142 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS000560 | PheCode:202.21; ICD9CM:202.00, 202.01, 202.02, 202.03, 202.04, 202.05, 202.06, 202.07, 202.08; ICD10CM:C82, C82.0, C82.00, C82.01, C82.02, C82.03, C82.04, C82.05, C82.06, C82.07, C82.08, C82.09, C82.1, C82.10, C82.11, C82.12, C82.13, C82.14, C82.15, C82.16, C82.17, C82.18, C82.19, C82.2, C82.20, C82.21, C82.22, C82.23, C82.24, C82.25, C82.26, C82.27, C82.28, C82.29, C82.3, C82.30, C82.31, C82.32, C82.33, C82.34, C82.35, C82.36, C82.37, C82.38, C82.39, C82.4, C82.40, C82.41, C82.42, C82.43, C82.44, C82.45, C82.46, C82.47, C82.48, C82.49, C82.5, C82.50, C82.51, C82.52, C82.53, C82.54, C82.55, C82.56, C82.57, C82.58, C82.59, C82.6, C82.60, C82.61, C82.62, C82.63, C82.64, C82.65, C82.66, C82.67, C82.68, C82.69, C82.8, C82.80, C82.81, C82.82, C82.83, C82.84, C82.85, C82.86, C82.87, C82.88, C82.89, C82.9, C82.90, C82.91, C82.92, C82.93, C82.94, C82.95, C82.96, C82.97, C82.98, C82.99 | — | [
|
— | European | — | MGI | — |
| PSS000561 | PheCode:204.12; ICD9CM:204.10, 204.11, 204.12; ICD10CM:C91.1, C91.10, C91.11, C91.12 | — | [
|
— | European | — | MGI | — |
| PSS000563 | PheCode:204.4; ICD9CM:203.00, 203.01, 203.02, 203.80, 203.81, 203.82; ICD10CM:C88.2, C88.3, C88.9, C90.0, C90.00, C90.01, C90.02, C90.2, C90.20, C90.21, C90.22, C90.30, C90.31, C90.32 | — | [
|
— | European | — | MGI | — |
| PSS000083 | Cases were clinically diagnosed with T1D before 17 years of age and treated with insulin from diagnosis. Patients with known MODY or NDM were excluded. | — | [
|
— | European | — | WTCCC | Cases with Type 1 Diabetes |
| PSS000083 | MODY patients with a confirmed monogenic etiology on genetic testing (415 patients with HNF1A MODY, 346 with GCK MODY, 42 with HNF4A MODY, and 2 with HNF1B MODY). The median age of diagnosis was 20 years (interquartile range 15, 30), and 532 patients were female. | — | [ ,
33.91 % Male samples |
— | European | — | NR | Maturity-onset diabetes of young (MODY) cases ascertained from the Genetic Βeta Cell Research Bank, Exeter, U.K. |
| PSS011531 | Cases were individuals with T1D | — | [ ,
53.51 % Male samples |
— | European | — | NR | — |
| PSS011532 | Cases were individuals with T1D | — | [ ,
53.79 % Male samples |
— | European | — | NR | — |
| PSS000581 | PheCode:204.12; ICD9:204.1; ICD10:C91.1 | — | [
|
— | European | — | UKB | — |
| PSS000582 | PheCode:204.4; ICD9:203, 203.0, 203.8; ICD10:C88.1, C88.3, C88.9, C90.0, C90.2 | — | [
|
— | European | — | UKB | — |
| PSS009928 | — | — | [
|
— | African unspecified, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian) | — | NR | Average Cohort Size. Overlaps GWAS Cohorts; however performance metrics are derived using a leave-one-cohort-out cross-validation to minimize overlap |
| PSS009929 | — | — | [
|
— | East Asian | — | BBJ | Average Cohort Size. Overlaps GWAS Cohorts; however performance metrics are derived using a leave-one-cohort-out cross-validation to minimize overlap |
| PSS011628 | — | — | [
|
— | European | — | EB | — |
| PSS011629 | — | — | [
|
— | European | — | FinnGen | — |
| PSS011630 | — | — | [
|
— | European | — | G&H | — |
| PSS011631 | — | — | [
|
— | European | — | GS:SFHS | — |
| PSS011632 | — | — | [
|
— | European | — | GEL | — |
| PSS011633 | — | — | [
|
— | European | — | HUNT | — |
| PSS011634 | — | — | [
|
— | European | — | MGBB | — |
| PSS011635 | — | — | [
|
— | European | — | UKB | — |
| PSS011636 | — | — | [
|
— | European | — | EB | — |
| PSS011637 | — | — | [
|
— | European | — | FinnGen | — |
| PSS011638 | — | — | [
|
— | European | — | G&H | — |
| PSS011639 | — | — | [
|
— | European | — | GS:SFHS | — |
| PSS011640 | — | — | [
|
— | European | — | GEL | — |
| PSS011641 | — | — | [
|
— | European | — | HUNT | — |
| PSS011642 | — | — | [
|
— | European | — | MGBB | — |
| PSS011643 | — | — | [
|
— | European | — | UKB | — |
| PSS007661 | For the CHILD Cohort Study, atopic dermatitis (AD) was from physician diagnosis at the one year follow-up. AD severity was defined as mild if there is a single site or no more than 2 sites, minor symptoms (little itching/rubbing), minor crusting and papules, not excoriated or oozing, not needing frequent medical attention; was defined as moderate if symptoms are neither mild nor severe or; was defined as severe if there are multiple sites, with extensive crusting or papules or excoriations or oozing or lichenification, sleep loss, needing frequent medical attention, and is a major concern to parents. In the SLSJ Cohort, atopic dermatitis was self-reported and considered as positive if past or present occurrence was reported. For children, cross validation was done using questionnaires filled by their parents. Moreover, validation in medical records of these self-reported phenotypes were done for a subset of the SLSJ Cohort (n = 217), giving 89% concordance. | — | [ ,
42.0 % Male samples |
Mean = 9.0 years Range = [0.0, 87.0] years |
European, South East Asian, East Asian, South Asian, African American or Afro-Caribbean, Native American, Greater Middle Eastern (Middle Eastern, North African or Persian), Hispanic or Latin American, Not reported | — | CHILD, SLSJ | Also used to evaluate the PRS_atopicDermatitis for other diseases of the atopic march: food allergy, allergic asthma and rhinitis. Only unrelated individuals were selected for analyses. |
| PSS011691 | — | — | [
|
— | European | — | BSTOP | — |
| PSS003667 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS003668 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS003669 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS003670 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS003671 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS003672 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS003673 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS003674 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS003675 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009586 | Severe progressive group as patients with the top quartile of SHS (more than 35 points) and the non-severe progressive group as the remaining patients. | — | 740 individuals, 14.4 % Male samples |
Mean = 48.5 years Sd = 12.4 years |
East Asian (Japanese) |
— | IORRA | — |
| PSS009588 | — | — | [
|
— | European | — | BV | — |
| PSS013491 | 710.0,M32 | — | [ ,
46.04 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013492 | 710.0,M32 | — | [ ,
46.04 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013493 | 710.0,M32 | — | [ ,
46.04 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS011718 | Those indicating having received a new systemic lupus erythematosus diagnosis were asked to complete the Connective Tissue Disease Screening Question- naire (12) and to consent to the release of their medical records. Released medical records of all nurses who indicated experi- encing systemic lupus erythematosus symptoms on this questionnaire were independently reviewed by 3 board-certified rheumatologists (EWK, JAS, and KHC). Cases of systemic lupus erythematosus were identified based on the presence of at least 4 criteria from the American College of Rheumatology (ACR) 1997 updated criteria for the classification of SLE and also based on reviewers' consensus. | — | [ ,
0.0 % Male samples |
— | European, Not reported | European (98%) | NHS, NHS2 | — |
| PSS011718 | All patients diagnosed as having systemic lupus erythematosus in the PHB and included in this study met at least 4 of the 11 ACR 1997 updated classification criteria for systemic lupus erythematosus . Cases were identified as those individuals previously included in the Brigham and Women's Hospital Lupus Registry or those with ≥3 Interna- tional Classification of Diseases, Ninth Revision (ICD-9)/ICD-10 codes for systemic lupus erythematosus , each noted ≥30 days apart, followed by medical record review to identify the presence of any of the ACR 1997 criteria for systemic lupus erythematosus. | — | [ ,
9.7 % Male samples |
— | European, Asian unspecified, African unspecified, Not reported | European (68.1%), Asian (4.9%), African (14.2%), Not reported (12.8%) | PHB | — |
| PSS013494 | 710.0,M32 | — | [ ,
46.04 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS003736 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS003737 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS003738 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS003739 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS003740 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007737 | — | — | 2,200 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007749 | — | — | 2,390 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS012542 | 228,D18 | — | [ ,
46.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012543 | 228,D18 | — | [ ,
46.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012545 | 228,D18 | — | [ ,
46.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012544 | 228,D18 | — | [ ,
46.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012546 | 228,D18 | — | [ ,
46.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012567 | 242.0,E05.0 | — | [ ,
49.58 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012568 | 242.0,E05.0 | — | [ ,
49.58 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012569 | 242.0,E05.0 | — | [ ,
49.58 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS007777 | — | — | 2,105 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007778 | — | — | 2,091 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS012571 | 242.0,E05.0 | — | [ ,
49.58 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013510 | 696.1,L40.0, L40.2, L40.3, L40.4, L40.8, L40.9 | — | [ ,
48.39 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012570 | 242.0,E05.0 | — | [ ,
49.58 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012572 | 242.0,E05.0 | — | [ ,
49.58 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013511 | 696.1,L40.0, L40.2, L40.3, L40.4, L40.8, L40.9 | — | [ ,
48.39 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013512 | 696.1,L40.0, L40.2, L40.3, L40.4, L40.8, L40.9 | — | [ ,
48.39 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS007793 | — | — | 2,428 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007794 | — | — | 2,398 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009636 | — | — | [
|
— | European | — | NR | International Multiple Myeloma rESEarch (IMMEnSE) consortium |
| PSS013513 | 696.0,L40.5 | — | [ ,
48.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012591 | 245.2,E06.3 | — | [ ,
49.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS007799 | — | — | 2,277 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS013514 | 696.0,L40.5 | — | [ ,
48.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012592 | 245.2,E06.3 | — | [ ,
49.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012593 | 245.2,E06.3 | — | [ ,
49.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012594 | 245.2,E06.3 | — | [ ,
49.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012597 | 245.2, 245.3, 245.8,E06.2, E06.3, E06.5 | — | [ ,
49.28 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012598 | 245.2, 245.3, 245.8,E06.2, E06.3, E06.5 | — | [ ,
49.28 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013515 | 696.0,L40.5 | — | [ ,
48.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012599 | 245.2, 245.3, 245.8,E06.2, E06.3, E06.5 | — | [ ,
49.28 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS007808 | — | — | 2,406 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS012600 | 245.2, 245.3, 245.8,E06.2, E06.3, E06.5 | — | [ ,
49.28 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013516 | 696.0,L40.5 | — | [ ,
48.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012601 | 245.2, 245.3, 245.8,E06.2, E06.3, E06.5 | — | [ ,
49.28 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012602 | 245.2, 245.3, 245.8,E06.2, E06.3, E06.5 | — | [ ,
49.28 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013517 | 696.0,L40.5 | — | [ ,
48.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013518 | 696.0,L40.5 | — | [ ,
48.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS009651 | — | Median = 10.88 years | 345,672 individuals, 48.0 % Male samples |
Mean = 56.53 years Sd = 8.06 years |
European | — | UKB | — |
| PSS011762 | — | — | 8,417 individuals | — | European | — | BBofA | — |
| PSS007834 | — | — | 400 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS013521 | 696.0, 696.1, 696.8,L40 | — | [ ,
48.38 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013522 | 696.0, 696.1, 696.8,L40 | — | [ ,
48.38 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013523 | 696.0, 696.1, 696.8,L40 | — | [ ,
48.38 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS009657 | diffuse large B-cell lymphoma (ICD-10 = C83.3) | — | 308 individuals | — | European | — | UKB | — |
| PSS009658 | follicular lymphoma (ICD- 10 = C82 or ICD-O: 9690) | — | 197 individuals | — | European | — | UKB | — |
| PSS009659 | multiple myeloma (ICD-9 = 203 or ICD-10 = C90.0) | — | 290 individuals | — | European | — | UKB | — |
| PSS013524 | 696.0, 696.1, 696.8,L40 | — | [ ,
48.38 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS004459 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS000907 | Cases are individuals with vitiligo. Diagnoses of vitiligo in multiplex-affected subjects and reportedly unaffected family members were verified by manual review of all available phenotype information for each subject. | — | [
|
— | European | — | NR | — |
| PSS007949 | — | — | 1,787 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS003979 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS007956 | — | — | 1,729 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS003980 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS003981 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS003982 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS003983 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| 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 | — |
| PSS010968 | — | — | [
|
— | European | — | NR | GCAT |
| PSS010969 | — | — | [
|
— | European | — | NR | GCAT |
| PSS010974 | — | — | [
|
— | European | — | NR | GCAT |
| PSS010977 | — | — | 4,987 individuals | — | European | — | NR | GCAT |
| PSS007994 | — | — | 1,630 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008009 | — | — | 1,785 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008010 | — | — | 1,784 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008014 | — | — | 1,754 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008433 | — | — | 998 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008022 | — | — | 1,773 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS000960 | Cases were individuals with systemic lupus erythematosus. | — | [
|
— | European | — | NR | — |
| PSS000961 | Cases were individuals with systemic lupus erythematosus. | — | [
|
— | European | — | NR | — |
| PSS000962 | Cases were individuals with systemic lupus erythematosus. | — | [
|
— | European | — | NR | — |
| PSS000963 | Cases were individuals with systemic lupus erythematosus. | — | [
|
— | East Asian (Han Chinese) |
— | NR | — |
| PSS011001 | — | — | [
|
— | European | — | UKB | — |
| PSS010999 | — | — | [
|
— | European | — | UKB | — |
| PSS004069 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004070 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004071 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004072 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004073 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS011000 | — | — | [
|
— | European | — | UKB | — |
| PSS013564 | 714,M04.8, M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.4, M06.8, M06.9, M08, M12.0, M13.0 | — | [ ,
45.78 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS011006 | — | — | 1,655 individuals, 8.4 % Male samples |
Mean = 38.1 years Sd = 12.5 years |
East Asian (Korean) |
— | NR | — |
| PSS011009 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 16,663 individuals, 48.0 % Male samples |
Mean = 51.9 years Sd = 14.8 years |
European | Self-identified race = White | BioMe | — |
| PSS011009 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 11,443 individuals, 39.0 % Male samples |
Mean = 48.4 years Sd = 14.1 years |
African American or Afro-Caribbean | Self-identified race = Black | BioMe | — |
| PSS011009 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 19,524 individuals, 37.0 % Male samples |
Mean = 50.3 years Sd = 15.3 years |
Hispanic or Latin American | Self-identified race = Hispanic | BioMe | — |
| PSS011009 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 10,013 individuals, 46.0 % Male samples |
Mean = 55.9 years Sd = 13.9 years |
East Asian, South East Asian, Native American, South Asian, Other | Self-identified race = Other | BioMe | — |
| PSS011010 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 11,443 individuals, 39.0 % Male samples |
Mean = 48.4 years Sd = 14.1 years |
African American or Afro-Caribbean | Self-identified race = Black | BioMe | — |
| PSS011010 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 19,524 individuals, 37.0 % Male samples |
Mean = 50.3 years Sd = 15.3 years |
Hispanic or Latin American | Self-identified race = Hispanic | BioMe | — |
| PSS011010 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 10,013 individuals, 46.0 % Male samples |
Mean = 55.9 years Sd = 13.9 years |
East Asian, South East Asian, Native American, South Asian, Other | Self-identified race = Other | BioMe | — |
| PSS011011 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 16,663 individuals, 48.0 % Male samples |
Mean = 51.9 years Sd = 14.8 years |
European | Self-identified race = White | BioMe | — |
| PSS011012 | — | — | 34,939 individuals, 47.0 % Male samples |
Mean = 59.1 years Sd = 16.9 years |
European | Self-identified race = white | MGBB | — |
| PSS011012 | — | — | 2,101 individuals, 37.0 % Male samples |
Mean = 52.1 years Sd = 16.3 years |
African American or Afro-Caribbean (Black) |
— | MGBB | — |
| PSS011012 | — | — | 1,269 individuals, 34.0 % Male samples |
Mean = 46.4 years Sd = 16.1 years |
Hispanic or Latin American (Hispanic) |
— | MGBB | — |
| PSS011012 | — | — | 1,511 individuals, 36.0 % Male samples |
Mean = 46.9 years Sd = 16.3 years |
Native American, Asian unspecified, Oceanian, Other | — | MGBB | — |
| PSS011013 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 2,101 individuals, 37.0 % Male samples |
Mean = 52.1 years Sd = 16.3 years |
African American or Afro-Caribbean | Self-identified race = Black | MGBB | — |
| PSS011013 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 1,269 individuals, 34.0 % Male samples |
Mean = 46.4 years Sd = 16.1 years |
Hispanic or Latin American | Self-identified race = Hispanic | MGBB | — |
| PSS011013 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 1,511 individuals, 36.0 % Male samples |
Mean = 46.9 years Sd = 16.3 years |
Native American, Asian unspecified, Oceanian, Other | Self-identified race = Other | MGBB | — |
| PSS011014 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 34,939 individuals, 47.0 % Male samples |
Mean = 59.1 years Sd = 16.9 years |
European | Self-identified race = White | MGBB | — |
| PSS000970 | — | Median = 400.0 days | 1,584 individuals | — | European | — | GNEHGI2020Q2 | — |
| PSS009819 | — | — | 6,503 individuals | — | African unspecified | — | UKB | — |
| PSS009820 | — | — | 922 individuals | — | East Asian | — | UKB | — |
| PSS009821 | — | — | 43,505 individuals | — | European | Non-British European | UKB | — |
| PSS009822 | — | — | 8,098 individuals | — | South Asian | — | UKB | — |
| PSS004114 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004115 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004116 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004117 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004118 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004119 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004120 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004121 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004122 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004123 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004158 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004159 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004160 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004161 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004162 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004173 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004174 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004175 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004176 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004177 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008162 | — | — | 6,171 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS004188 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004190 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004191 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004192 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004193 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004194 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004195 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004196 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004197 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008169 | — | — | 5,228 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008183 | — | — | 6,094 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS009882 | — | — | [
|
— | European | — | KP | — |
| PSS009883 | — | — | [
|
— | European | — | UKB | — |
| PSS004228 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004229 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004230 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004231 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004232 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS010998 | — | — | [
|
— | European | — | MGI | — |
| PSS000993 | All individuals had systemic lupus erythematosus. Cases are individuals that also have renal disease | — | [
|
— | European | — | NR | — |
| PSS000994 | All individuals had systemic lupus erythematosus. Cases are individuals that also have renal disease | — | [
|
— | European | — | NR | Cases and controls obtained by SLEGEN. |
| PSS008212 | — | — | 5,337 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008213 | — | — | 5,277 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS009893 | — | — | 366 individuals | — | African American or Afro-Caribbean | — | SEARCH | — |
| PSS009894 | — | — | 412 individuals | — | Hispanic or Latin American | — | SEARCH | — |
| PSS009895 | — | — | 1,168 individuals | — | European | — | SEARCH | — |
| PSS009896 | — | — | 99 individuals | — | Not reported | — | SEARCH | — |
| PSS008228 | — | — | 6,185 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008229 | — | — | 6,161 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008234 | — | — | 5,728 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008235 | — | — | 5,671 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008244 | — | — | 6,180 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS001007 | Cases were individuals with latent classes of allergic diseases (LCADs). LCADs includes atopic march (defined as having a high probability of eczema from infancy to age 11 years with increased probability of wheeze overtime. For rhinitis, the probability increases from zero at age 1 year to almost 100% by 8 years. Eczema developed first, followed by wheeze, and then rhinitis) , persistent eczema and wheeze (defined as having a similar probability of wheeze and eczema throughout childhood, likely as co-morbidities, with a low probability of rhinitis throughout childhood), persistent eczema with late‐onset rhinitis (defined as having increased eczema prevalence from ~70% in early life to 95% at age 5 years, with little resolution at 11 years. The probability of rhinitis increases to almost 100% by age 8 years with low probability of wheeze throughout childhood), persistent wheeze with late‐onset rhinitis (definned as having a high probability of wheeze throughout childhood, with increasing probability of rhinitis to almost 100% by age 11 years. Probability of eczema being low, declining steadily at age 11 years), transient wheeze (defined as having a high probability of wheeze within the first 5 years, with remission by age 8 years, and a very low probability of eczema and rhinitis throughout childhood), eczema only (defined as having a high probability of eczema throughout life, peaking at ~80% at age 5 years, then declining steadily to a 50% probability at age 11 years) and rhinitis only (defined as having an increasing probability of rhinitis from age 5 to 11 years, but no wheeze or eczema). Of the 575 cases, 230 had atopic march, 227 had persistent eczema and wheeze, 380 had persistent eczema with late-onset rhinitis, 429 had persistent wheeze with late-onset rhinitis, 599 had transient wheeze, 1089 had eczema only and 791 had rhinitis only. | — | [ ,
51.45 % Male samples |
— | European, NR | European = 6345, NR = 897 | ALSPAC, MAAS | Possible sample overlap (up to 88%) between this dataset and the dataset used to source variants for the PRS. |
| PSS001008 | Cases were individuals with latent classes of allergic diseases (LCADs). LCADs includes atopic march (defined as having a high probability of eczema from infancy to age 11 years with increased probability of wheeze overtime. For rhinitis, the probability increases from zero at age 1 year to almost 100% by 8 years. Eczema developed first, followed by wheeze, and then rhinitis) , persistent eczema and wheeze (defined as having a similar probability of wheeze and eczema throughout childhood, likely as co-morbidities, with a low probability of rhinitis throughout childhood), persistent eczema with late‐onset rhinitis (defined as having increased eczema prevalence from ~70% in early life to 95% at age 5 years, with little resolution at 11 years. The probability of rhinitis increases to almost 100% by age 8 years with low probability of wheeze throughout childhood), persistent wheeze with late‐onset rhinitis (definned as having a high probability of wheeze throughout childhood, with increasing probability of rhinitis to almost 100% by age 11 years. Probability of eczema being low, declining steadily at age 11 years), transient wheeze (defined as having a high probability of wheeze within the first 5 years, with remission by age 8 years, and a very low probability of eczema and rhinitis throughout childhood), eczema only (defined as having a high probability of eczema throughout life, peaking at ~80% at age 5 years, then declining steadily to a 50% probability at age 11 years) and rhinitis only (defined as having an increasing probability of rhinitis from age 5 to 11 years, but no wheeze or eczema). Of the 575 cases, 55 had atopic march, 46 had persistent eczema and wheeze, 73 had persistent eczema with late-onset rhinitis, 81 had persistent wheeze with late-onset rhinitis, 65 had transient wheeze, 141 had eczema only and 114 had rhinitis only. | — | [ ,
53.8 % Male samples |
— | Not reported | — | MAAS | — |
| PSS004273 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004274 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004275 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004276 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008270 | — | — | 908 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS009927 | — | — | [
|
— | European, East Asian, African unspecified, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian) | — | BBJ | Average Cohort Size. Overlaps GWAS Cohorts; however performance metrics are derived using a leave-one-cohort-out cross-validation to minimize overlap |
| PSS000312 | Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 8.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000313 | Setting III: Based on ICD codes and final diagnosis in medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 7.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000314 | Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 8.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000315 | Setting III: Based on ICD codes and final diagnosis in medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 7.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000316 | Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 8.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000317 | Setting III: Based on ICD codes and final diagnosis in medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 7.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000318 | Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 8.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS000319 | Setting III: Based on ICD codes and final diagnosis in medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases | Median = 7.0 years | [ ,
32.0 % Male samples |
— | European | — | PHB | — |
| PSS009930 | — | — | [
|
— | European | — | NR | Average Cohort Size. Overlaps GWAS Cohorts; however performance metrics are derived using a leave-one-cohort-out cross-validation to minimize overlap |
| PSS000321 | Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases | Median = 16.0 years | [ ,
43.0 % Male samples |
— | European, African unspecified, Asian unspecified, NR | Primarily European, African and Asian ancestry | eMERGE | — |
| PSS000322 | Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases | Median = 16.0 years | [ ,
43.0 % Male samples |
— | European, African unspecified, Asian unspecified, NR | Primarily European, African and Asian ancestry | eMERGE | — |
| PSS000323 | Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases | Median = 16.0 years | [ ,
43.0 % Male samples |
— | European, African unspecified, Asian unspecified, NR | Primarily European, African and Asian ancestry | eMERGE | — |
| PSS000324 | Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases | Median = 16.0 years | [ ,
43.0 % Male samples |
— | European, African unspecified, Asian unspecified, NR | Primarily European, African and Asian ancestry | eMERGE | — |
| PSS004339 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004340 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004341 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004342 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004343 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |
| PSS008384 | — | — | 1,178 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS013178 | 477,J30 | — | [ ,
45.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013177 | 477,J30 | — | [ ,
45.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013179 | 477,J30 | — | [ ,
45.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013180 | 477,J30 | — | [ ,
45.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013181 | 477,J30 | — | [ ,
45.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS008391 | — | — | 1,107 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS001027 | Cases were individuals with systemic lupus erythematosus (SLE). All cases were carefully recruited regarding the criteria from the American College of Rheumatology (ACR). Controls included healthy individuals and individuals who had unrelated diseases including: breast cancer, periodontitis, tuberculosis, drug-induced liver injury, epileptic encephalopathy, dengue hemorrhagic fever, thalassemia, and cardiomyopathy. | — | [ ,
40.31 % Male samples |
— | South East Asian (Thai) |
— | NR | Cases were recruited from King Chulalongkorn Memorial Hospital and the Rheumatology clinic at Ramathbodi hospital. Control data was provided by the Department of Medical Science, Min- istry of Public Health, Thailand. |
| PSS004423 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004424 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS001028 | Cases were children with asthma ever, at age 8 years. Cases were defined using an adjusted diagnosis of asthma ever at age 8 years based on (1) 1 or more attacks of wheeze in the last 12 months or (2) inhaled corticosteroids for respiratory or lung problems prescribed by a doctor in the last 12 months. A child who had at least 1 of these characteristics was categorized as having asthma. | — | [ ,
56.2 % Male samples |
— | European (Swedish) |
— | BAMSE | Possible sample overlap of up to 100% between this dataset and the datasets used to source variants for GRSw_TAGC. |
| PSS001029 | Cases were children with asthma ever, at age 8 years, in which asthma was defined by the following characteristics: 1 or more attacks of wheeze in the last 12 months, 1 or more events of shortness of breath (dyspnea) in the last 12 months, or inhaled corticosteroids for respiratory or lung problems prescribed by a doctor in the last 12 months. A child who had 1 or more of these characteristics was categorized as having asthma. | — | [ ,
51.1 % Male samples |
— | European | — | PIAMA | Possible sample overlap of up to 19% between this dataset and the datasets used to source variants for GRSw_TAGC. |
| PSS004425 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004426 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008403 | — | — | 1,164 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS004437 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004438 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004439 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004440 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004441 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004442 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004444 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004445 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004446 | — | — | [
|
— | 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 | — |
| PSS004457 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004458 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS001034 | Cases were individuals with cutaneous lupus erythematosus. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | BioVU | — |
| PSS001035 | Cases were individuals with systemic lupus erythematosus. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | BioVU | — |
| PSS001036 | Cases were individuals with type 1 diabetes. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for type 1 diabetes include: 250.1. Of all the type 1 diabetes cases, 276 had renal manifestations, 240 had ophthalmic manifestations and 475 had neurological manifestations | — | [
|
— | European | — | BioVU | — |
| PSS001037 | Cases were individuals with erythematosus conditions. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | BioVU | — |
| PSS001038 | Cases were individuals with lupus (localised and systemic). Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | BioVU | — |
| PSS001039 | Cases were individuals with cutaneous lupus erythematosus. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | eMERGE | — |
| PSS001040 | Cases were individuals with systemic lupus erythematosus. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | eMERGE | — |
| PSS001041 | Cases were individuals with type 1 diabetes. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for type 1 diabetes include: 250.1. Of the type 1 diabetes cases 165 had renal manifestations, 230 had ophthalmic manifestations and 218 had neurological manifestations. | — | [
|
— | European | — | eMERGE | — |
| PSS001042 | Cases were individuals with erythematosus conditions. Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits. For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record. Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | eMERGE | — |
| PSS001043 | Cases were individuals with lupus (localised and systemic). Cases were identified by extracting clinical diagnoses from the electronic health record using the 9th and 10th International Statistical Classification of Diseases and Related Health Problems (ICD) Clinical Modification (CM) codes that mapped to the phenotype and transformed these ICD9/ICD10 codes into phecodes, which aggregate one or more related ICD codes into distinct diseases or traits.For each phenotype, cases were defined as individuals with 2 or more instances of the specific phecode in the electronic health record.Phecodes for lupus related disorders (systemic and cutaneous) include: 695.4, 695.41, 696.42. | — | [
|
— | European | — | eMERGE | — |
| PSS004460 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004471 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004472 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004473 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004474 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004475 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008448 | — | — | 1,184 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008449 | — | — | 1,183 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008454 | — | — | 1,128 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008455 | — | — | 1,124 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS011186 | — | — | [
|
— | European | — | BioVU | — |
| PSS011186 | — | — | [
|
— | African unspecified | — | BioVU | — |
| PSS011186 | — | — | [
|
— | Asian unspecified | — | BioVU | — |
| PSS011186 | — | — | [
|
— | Not reported | — | BioVU | — |
| PSS011188 | — | — | [
|
— | European | — | BioVU | — |
| PSS011187 | — | — | [
|
— | African unspecified | — | BioVU | — |
| PSS004486 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004487 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS008464 | — | — | 1,172 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS004488 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004489 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004490 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004491 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004492 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004493 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS001049 | Cases are individuals with multiple sclerosis. | — | [
|
— | European | Mainland Scotland | GS:SFHS | — |
| PSS001050 | Cases are individuals with multiple sclerosis. | — | [
|
— | European | Orkney | ORCADES | — |
| PSS001051 | Cases are individuals with multiple sclerosis. | — | [
|
— | European | Shetlands | VIKING | — |
| PSS004494 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004495 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS001055 | All individuals suffered from asthma and no other allergic diseases. All individuals were identified from a questionnaire. Asthmatic individuals were those with (i) both a report of “Asthma” in field 6152 of questionnaire (self-reported medical conditions, specifically the question “Has a doctor ever told you that you have had any of the following conditions?”) and a code for asthma in field 20002 (verbal interview), or alternatively, an ICD10 code for asthma in fields 41202 (Diagnoses–main ICD10) or 41204 (Diagnoses–secondary ICD10); and (ii) no report of COPD in fields 6152 or 20002, nor of other respiratory diseases in field 20002. | — | 22,029 individuals, 45.0 % Male samples |
Mean = 56.6 years Range = [38.0, 70.0] years |
European | — | UKB | Possible sample overlap of up to 100% between this dataset and the dataset used to source wGRS136_Allergy. |
| PSS001056 | All individuals suffered from eczema and no other allergic diseases. All individuals were identified from a questionnaire. The exact same approach (i.e. information from fields 20002, 41202 and 41204) was used to identify eczema cases. | — | 3,969 individuals, 43.0 % Male samples |
Mean = 55.4 years Range = [40.0, 70.0] years |
European | — | UKB | Possible sample overlap of up to 100% between this dataset and the dataset used to source wGRS136_Allergy. |
| PSS001057 | All individuals suffered from hay fever and no other allergic diseases. All individuals were identified from a questionnaire. To identify individuals who reported suffering specifically from hay fever, information reported in the verbal interview (field 20002) and ICD10 codes (fields 41202 and 41204) were considered, as described for asthma | — | 14,474 individuals, 49.0 % Male samples |
Mean = 55.1 years Range = [40.0, 70.0] years |
European | — | UKB | Possible sample overlap of up to 100% between this dataset and the dataset used to source wGRS136_Allergy. |
| PSS004511 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004512 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004513 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004514 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004515 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008492 | — | — | 208 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS000368 | TEDDY children were followed prospectively from 3–4 months of age, with visits every 3 months until 4 years of age. Each evaluation tested the three islet antibodies (GADA, IA2A and IAA), changes in family history, as well as other measurements specified by the TEDDY protocol. After 4 years of age, children with any islet autoantibodies remained on quarterly visits, while antibody-negative children were evaluated every 6 months. Children were followed prospectively until 15 years of age or until T1D onset, as defined using the American Diabetes Association’s criteria for diagnosis (doi: 10.1196/annals.1447.062) | Median = 9.3 years Range = [0.0833, 14.0] years |
[ ,
50.86 % Male samples |
Range = [3.0, 4.0] years | NR | — | TEDDY | From 2004–2010, 424,788 newborns were screened at six US and European centers for high-risk HLA genotypes. TEDDY then enrolled 8,676 eligible infants with the intent to follow them until 15 years of age. The three major eligible HLA DR–DQ haplotypes are DR3–DQA1*0501–DQB1*0201, DR4–DQA1*0301–DQB1*0302 and DR8–DQA1*0401–DQB1*0402. |
| PSS004570 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004571 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004572 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004573 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004574 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS001084 | Moderate Age-Related Diabetes (MARD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001085 | Moderate Obesity-related Diabetes (MOD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001086 | Severe Autoimmune Diabetes (SAID) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001087 | Severe Insulin-Deficient Diabetes (SIDD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001088 | Severe Insulin-Resistant Diabetes (SIRD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS000381 | Control subjects (n = 40) were paediatric general gastroenterology patients whom were negative for coeliac disease by both intestinal biopsy and negative tissue transglutaminase serology. | — | [ ,
48.0 % Male samples |
Mean = 4.9 years Sd = 4.0 years |
NR | — | STOLLERY_CC | — |
| PSS000381 | Diagnosis of coeliac disease was made by a modification of European serological diagnostic guidelines for patients referred to a tertiary paediatric clinic in Alberta, Canada, for consideration of coeliac disease diagnosis | — | [ ,
63.0 % Male samples |
Mean = 8.6 years Sd = 3.9 years |
NR | — | STOLLERY_CC | — |
| PSS000381 | Diagnosis of coeliac disease was made by endoscopy for patients referred to a tertiary paediatric clinic in Alberta, Canada, for consideration of coeliac disease diagnosis | — | [ ,
57.0 % Male samples |
Mean = 7.5 years Sd = 3.8 years |
NR | — | STOLLERY_CC | — |
| PSS000382 | Coeliac disease cases were identified using either hospital admission code and/or self‐reported coeliac disease. | — | [
|
— | European | — | UKB | — |
| PSS001091 | Cases were individuals who had been diagnosed by a phsyician with allergic symptoms. Allergic symptoms were diagnoised/defined using the International Classification of Primary Care (ICPC), allergic conjunctivitis (ICPC: F71), allergic rhinitis (ICPC: R97), or eczema/dermatitis (ICPC: S87, S88). | Median = 3.6 years IQR = [1.5, 6.7] years |
[ ,
49.2 % Male samples |
Median = 7.0 years IQR = [4.0, 9.0] years |
European (Dutch, NR) |
Dutch = 471, NR = 859 | WHISTLER | — |
| PSS001092 | All individuals had cystic fibrosis with either 2 severe CFTR mutations and/or clinically diagnosed exocrine pancreatic insufficiency. Cases are individuals with cystic fibrosis related diabetes (CFRD).Phenotypes were obtained from extracted medical charts and CF Foundation Patient Registry through 2011. CFRD was defined by clinician diagnosis of diabetes plus insulin treatment for at least 1 year. The onset of CFRD was defined as the date at which insulin was started, if it was subsequently continued for at least 1 year. In approximately 50% of the participants, independent laboratory data (such as oral glucose tolerance test or hemoglobin A1c) were able to independently confirm the diagnosis of CFRD. Diabetes data were censored at the last clinic visit or date of solid organ transplant. | — | [ ,
47.04 % Male samples |
Mean = 20.0 years | Not reported | — | CGS, CWRU, FrGMC, JHU, UNC | — |
| PSS008608 | — | — | 6,489 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS004637 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004639 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004640 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004641 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008615 | — | — | 6,300 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008629 | — | — | 6,463 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS001119 | Cases were individuals with chronic lymphocytic leukemia. | — | [
|
— | Not reported | — | MAYO | Cases were obtained from the Genetic Epidemiology of CLL (GEC) Consortium |
| PSS001120 | Cases were individuals with monoclonal B-cell lymphocytosis. | — | [
|
— | Not reported | — | MAYO | Cases were obtained from the Genetic Epidemiology of CLL (GEC) Consortium |
| PSS001121 | Cases were individuals with chronic lymphocytic leukemia. | — | [
|
— | Not reported | — | NR | Cases and controls were obtained from the Genetic Epidemiology of CLL (GEC) Consortium |
| PSS001122 | Cases were individuals with monoclonal B-cell lymphocytosis. | — | [
|
— | Not reported | — | NR | Cases and controls were obtained from the Genetic Epidemiology of CLL (GEC) Consortium |
| PSS001123 | Cases were individuals with chronic lymphocytic leukemia (CLL). Of the 3,958 individuals, 242 had a family history (FH) of hematological cancers, whereas 2,409 had no FH of hematological cancers. Of the 242 individuals with a FH, 112 had CLL. Of the 2,409 without a FH, 783 had CLL. FH was defined as a person self-reporting any hematological maligcancy among first-degree relatives. Hematological malignancies were defined as any non-Hodgkin lymphoma, Hodgkin lymphoma, multiple myeloma, or leukemia. | — | [ ,
60.81 % Male samples |
— | European, NR | — | 8 cohorts
|
Possible significant sample overlap between this dataset and the dataset used to source PRS41_CLL. |
| PSS012069 | Cases - ICD-9-CM codes: 193, V10.87, ICD-10-CM billing codes: C73, Z85.850, ICD-9 codes: 193, V10.87, ICD-10 codes: C73, SNOMED: 92767001 Carcinoma in situ of thyroid gland, 363478007 Malignant tumor of thyroid gland, 255028004 Follicular thyroid carcinoma, 423158009 Hurthle cell carcinoma of thyroid, 772992009 Primary differentiated carcinoma of thyroid gland. Controls - ICD-9-CM codes: 241 Nontoxic nodular goiter, 241.0 Nontoxic uninodular goiter, 241.1 Nontoxic multinodular goiter, 241.9 Unspecified nontoxic nodular goiter ICD-10-CM billing codes: E01.1 Iodine-deficiency related multinodular (endemic) goiter, E04.1 Nontoxic single thyroid nodule, E04.2 Nontoxic multinodular goiter, E04.8 Other specified nontoxic goiter, E04.9 Nontoxic goiter, unspecified, ICD-9-CM codes: 241 Nontoxic nodular goiter, 241.0 Nontoxic uninodular goiter, 241.1 Nontoxic multinodular goiter, 241.9 Unspecified nontoxic nodular goiter, ICD-10 codes: E01.1 Iodine-deficiency related multinodular (endemic) goiter, E04.1 Nontoxic single thyroid nodule, E04.2 Nontoxic multinodular goiter, E04.8 Other specified nontoxic goiter, E04.9 Nontoxic goiter, unspecified, SNOMED: 419153005 Nodular goiter, 190236006 Non-toxic nodular goiter, 66392007 Substernal goiter, 60968001 Adenomatous goiter | — | 94,651 individuals | — | African American or Afro-Caribbean, Hispanic or Latin American, European | — | CCPM | — |
| PSS008658 | — | — | 5,477 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008659 | — | — | 5,445 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008674 | — | — | 6,535 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008675 | — | — | 6,554 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008680 | — | — | 6,241 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008681 | — | — | 6,216 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS004706 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004707 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004708 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004709 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004710 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008690 | — | — | 6,493 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS013489 | 710.0,M32 | — | [ ,
46.04 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013490 | 710.0,M32 | — | [ ,
46.04 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012093 | — | — | 4,151 individuals | — | European | — | BSTOP | 4,151 in BSTOP is compared against 9426 UKB |
| PSS012093 | — | — | 9,426 individuals | — | European | — | UKB | 4,151 in BSTOP is compared against 9426 UKB |
| PSS012094 | — | — | [
|
— | European (Estonian) |
— | EB | — |
| PSS012095 | — | — | [
|
— | European (Finnish) |
— | FinnGen | — |
| PSS012096 | — | — | [
|
— | European (Norwegian) |
— | HUNT | — |
| PSS012097 | — | — | 1,461 individuals | — | European | — | Novartis | 1,461 in Novartis is compared against 9426 UKB |
| PSS012097 | — | — | 9,426 individuals | — | European | — | UKB | 1,461 in Novartis is compared against 9426 UKB |
| PSS012098 | — | — | [
|
— | European (British) |
— | UKB | — |
| PSS013496 | 373.34, 695.4, 710.0,H01.12, L93, M32 | — | [ ,
46.02 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013495 | 373.34, 695.4, 710.0,H01.12, L93, M32 | — | [ ,
46.02 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013497 | 373.34, 695.4, 710.0,H01.12, L93, M32 | — | [ ,
46.02 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013498 | 373.34, 695.4, 710.0,H01.12, L93, M32 | — | [ ,
46.02 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013499 | 373.34, 695.4, 710.0,H01.12, L93, M32 | — | [ ,
46.02 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013500 | 373.34, 695.4, 710.0,H01.12, L93, M32 | — | [ ,
46.02 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013507 | 696.1,L40.0, L40.2, L40.3, L40.4, L40.8, L40.9 | — | [ ,
48.39 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013508 | 696.1,L40.0, L40.2, L40.3, L40.4, L40.8, L40.9 | — | [ ,
48.39 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013509 | 696.1,L40.0, L40.2, L40.3, L40.4, L40.8, L40.9 | — | [ ,
48.39 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS004741 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004742 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004743 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004744 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004745 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008718 | — | — | 2,442 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS011220 | — | — | [
|
— | European | — | EB | — |
| PSS011222 | — | — | [
|
— | European | — | EB | — |
| PSS011224 | — | — | [
|
— | European | — | EB | — |
| PSS012104 | — | — | 73,872 individuals | — | European | — | MVP | — |
| PSS012104 | — | — | 25,274 individuals | — | African unspecified | — | MVP | — |
| PSS012104 | — | — | 9,537 individuals | — | Hispanic or Latin American | — | MVP | — |
| PSS012104 | — | — | 911 individuals | — | Asian unspecified | — | MVP | — |
| PSS013520 | 696.0, 696.1, 696.8,L40 | — | [ ,
48.38 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013519 | 696.0, 696.1, 696.8,L40 | — | [ ,
48.38 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS001171 | Cases were individuals with chronic lymphocytic leukemia (CLL). CLL diagnoses were made based on the 1996 NCI working group criteria and updated to the 2008 International Workshop CLL criteria wherever possible. | — | [ ,
66.91 % Male samples |
— | African American or Afro-Caribbean | — | MAYO | Possibly significant sample overlap between this dataset and the dataset used to source PRS41_CLL. Additional cases were obtained from Duke University and Cornell |
| PSS001172 | Cases were individuals with chronic lymphocytic leukemia (CLL). CLL diagnoses were made based on the 1996 NCI working group criteria and updated to the 2008 International Workshop CLL criteria wherever possible. | — | [ ,
45.36 % Male samples |
— | European | — | MAYO | Possibly significant sample overlap between this dataset and the dataset used to source PRS41_CLL. Additional cases were obtained from Duke University and Cornell |
| PSS001173 | Cases were individuals with monoclonal B-cell lymphocytosis (MBL) from two Mayo Clincs.Within the Mayo Clinic Biobank, MBL was screened for using a highly sensitive, 8-color (CD38, CD45, Kappa, Lambda, CD19, CD23, CD5 and CD20) flow-cytometry assay with the capacity to detect clonal B-cell counts to the 0.005% level (1/20,000 events), and for each individual, 500,000 PBMC events were typically captured. Of the 560 MBL cases, 396 had low-count MBL (LC-MBL) and 164 had high-count MBL (HC-MBL). Wiithin the Mayo Clinic Biobank only a subset of participants had a complete blood count. therefore the percent of clonal B-cells out of total B-cells was used to categorize participants as LC- and HC-MBL. Based on prior evidence, those MBL individuals with a percent clonal B-cell <85% were defined as LC-MBL and those with percent clonal B-cells ≥85% as HC-MBL. Within the Mayo Clinic Chronic lymphocytic leukemia (CLL) Resource, MBL was classified by LC-MBL or HC-MBL according to the B-cell clone size of below or above 0.5 × 109/L threshold, respectively. | — | [ ,
42.28 % Male samples |
— | European | — | MAYO | Possibly significant sample overlap between this dataset and the dataset used to source PRS41_CLL. |
| PSS011231 | K11_IBD_STRICT, ICD10: K50|K51, ICD9: 555|556 | — | [
|
— | European | — | FinnGen | — |
| PSS011235 | T1D, ICD10: E10, ICD9: 250[0|1]1 (exclude E11) | — | [
|
— | European | — | FinnGen | — |
| PSS011233 | RHEUMA_SEROPOS_OTH, ICD10: M05[8-9], ICD9: 7140A | — | [
|
— | European | — | FinnGen | — |
| PSS013526 | 696,L30.5, L40, L41, L42, L44.0, L94.5 | — | [ ,
48.37 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013525 | 696,L30.5, L40, L41, L42, L44.0, L94.5 | — | [ ,
48.37 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013527 | 696,L30.5, L40, L41, L42, L44.0, L94.5 | — | [ ,
48.37 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013528 | 696,L30.5, L40, L41, L42, L44.0, L94.5 | — | [ ,
48.37 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013530 | 696,L30.5, L40, L41, L42, L44.0, L94.5 | — | [ ,
48.37 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013529 | 696,L30.5, L40, L41, L42, L44.0, L94.5 | — | [ ,
48.37 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS000436 | The discovery cohort included 1001 patients from the University clinics in Uppsala, Linköping, Karolinska Institute (Stockholm), Lund, and from the four northern-most counties in Sweden. All subjects fulfilled ≥4 ACR-82 classification criteria for SLE and were of European descent.30 Clinical data were collected from the patients’ medical files, including SDI scores, the ACR-82 classification criteria, clinical antiphospholipid syndrome (APS) diagnosis, glomerular filtration rate, chronic kidney disease (CKD) stages, ESRD, renal biopsy data and CVE, defined as myocardial infarction, ischaemic cerebrovascular disease or venous thromboembolism (VTE). Control individuals were healthy blood donors from Uppsala (Uppsala Bioresource) and Lund or population based controls from Stockholm and the four northernmost counties of Sweden. | — | [
|
— | European | — | Karolinska, UHU | The discovery cohort included 1001 patients from the University clinics in Uppsala, Linköping, Karolinska Institute (Stockholm), Lund, and from the four northern-most counties in Sweden |
| PSS000437 | The discovery cohort included 1001 patients from the University clinics in Uppsala, Linköping, Karolinska Institute (Stockholm), Lund, and from the four northern-most counties in Sweden. All subjects fulfilled ≥4 ACR-82 classification criteria for SLE and were of European descent.30 Clinical data were collected from the patients’ medical files, including SDI scores, the ACR-82 classification criteria, clinical antiphospholipid syndrome (APS) diagnosis, glomerular filtration rate, chronic kidney disease (CKD) stages, ESRD, renal biopsy data and CVE, defined as myocardial infarction, ischaemic cerebrovascular disease or venous thromboembolism (VTE). | — | [
|
— | European | — | Karolinska, UHU | The discovery cohort included 1001 patients from the University clinics in Uppsala, Linköping, Karolinska Institute (Stockholm), Lund, and from the four northern-most counties in Sweden |
| PSS000438 | — | — | [
|
— | European | — | NR | The replication cohort is described in Langefeld et al. (PMID:28714469) |
| PSS011244 | — | — | [
|
— | South Asian | — | G&H | — |
| PSS011246 | — | — | [
|
— | South Asian | — | G&H | — |
| PSS011248 | — | — | [
|
— | South Asian | — | G&H | — |
| PSS013542 | 710.2,M35.0 | — | [ ,
46.5 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013541 | 710.2,M35.0 | — | [ ,
46.5 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013543 | 710.2,M35.0 | — | [ ,
46.5 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013545 | 710.2,M35.0 | — | [ ,
46.5 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013546 | 710.2,M35.0 | — | [ ,
46.5 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013544 | 710.2,M35.0 | — | [ ,
46.5 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS011260 | — | — | [
|
— | European | — | HUNT | — |
| PSS011262 | — | — | [
|
— | European | — | HUNT | — |
| PSS011264 | — | — | [
|
— | European | — | HUNT | — |
| PSS013559 | 714.0, 714.1, 714.2, 714.81,M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.8, M06.9 | — | [ ,
46.08 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013558 | 714.0, 714.1, 714.2, 714.81,M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.8, M06.9 | — | [ ,
46.08 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013560 | 714.0, 714.1, 714.2, 714.81,M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.8, M06.9 | — | [ ,
46.08 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013561 | 714.0, 714.1, 714.2, 714.81,M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.8, M06.9 | — | [ ,
46.08 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013563 | 714,M04.8, M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.4, M06.8, M06.9, M08, M12.0, M13.0 | — | [ ,
45.78 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013562 | 714.0, 714.1, 714.2, 714.81,M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.8, M06.9 | — | [ ,
46.08 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013565 | 714,M04.8, M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.4, M06.8, M06.9, M08, M12.0, M13.0 | — | [ ,
45.78 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013566 | 714,M04.8, M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.4, M06.8, M06.9, M08, M12.0, M13.0 | — | [ ,
45.78 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS011273 | — | — | [
|
— | European | — | UKB | — |
| PSS013567 | 714,M04.8, M05.0, M05.1, M05.2, M05.30, M05.31, M05.32, M05.33, M05.34, M05.35, M05.36, M05.37, M05.39, M05.40, M05.41, M05.42, M05.43, M05.44, M05.45, M05.46, M05.47, M05.49, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M05.6, M05.7, M05.8, M05.9, M06.0, M06.1, M06.20, M06.21, M06.22, M06.23, M06.24, M06.25, M06.26, M06.27, M06.28, M06.29, M06.3, M06.4, M06.8, M06.9, M08, M12.0, M13.0 | — | [ ,
45.78 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS011275 | — | — | [
|
— | European | — | UKB | — |
| PSS013569 | 720.0,M08.1, M45 | — | [ ,
47.47 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS011277 | — | — | [
|
— | European | — | UKB | — |
| PSS013568 | 720.0,M08.1, M45 | — | [ ,
47.47 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013570 | 720.0,M08.1, M45 | — | [ ,
47.47 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013571 | 720.0,M08.1, M45 | — | [ ,
47.47 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013572 | 720.0,M08.1, M45 | — | [ ,
47.47 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013573 | 720.0,M08.1, M45 | — | [ ,
47.47 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS011288 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS011295 | — | — | 1,798 individuals | — | Not reported | — | NR | StartRight |
| PSS011296 | 22,667 sibling pairs | — | 45,334 individuals | — | European | — | UKB | — |
| PSS008840 | — | — | 3,490 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS000489 | The diagnosttic criteria for each disease was based on gold-standard clinical guidelines. | — | 339 individuals | — | European (Spanish) |
— | PRECISESADS | — |
| PSS000490 | Cases included physician-confirmed psoriatic arthritis (PsA). Controls inclded individuals with psoriasis with no history of joint symptoms (psoriasis only - PsO). | — | [
|
— | NR | — | NR | — |
| PSS008853 | — | — | 3,790 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008881 | — | — | 3,465 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008882 | — | — | 3,455 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008897 | — | — | 3,872 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008898 | — | — | 3,834 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008903 | — | — | 3,634 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008912 | — | — | 3,818 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS011332 | — | — | [
|
— | European | — | BioVU | — |
| PSS011333 | — | — | [
|
— | European | — | UKB | — |
| PSS011334 | — | — | [
|
— | European | — | BioVU | — |
| PSS010115 | — | — | [
|
— | East Asian (Taiwanese) |
— | NR | TPMI |
| PSS011335 | — | — | [
|
— | European | — | UKB | — |
| PSS004956 | — | — | 170 individuals | — | African unspecified | — | UKB | — |
| PSS004957 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS004958 | — | — | 1,421 individuals | — | European | non-white British ancestry | UKB | — |
| PSS004959 | — | — | 187 individuals | — | South Asian | — | UKB | — |
| PSS004960 | — | — | 3,857 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008938 | — | — | 526 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS011341 | — | — | [ ,
46.0 % Male samples |
— | European (White British) |
— | UKB | — |
| PSS011342 | — | — | [ ,
46.0 % Male samples |
— | European (White British) |
— | UKB | — |
| PSS011347 | — | — | [ ,
46.0 % Male samples |
— | European (White British) |
— | UKB | — |
| PSS011348 | — | — | 345 individuals, 52.0 % Male samples |
Mean = 49.0 years Sd = 16.0 years |
European | — | UCSF | — |
| PSS011349 | — | — | 654 individuals, 48.0 % Male samples |
Mean = 41.0 years Sd = 14.0 years |
European | — | NR | — |
| PSS011363 | ICD10: M05, M06 | Median = 8.1 years | [ ,
46.58 % Male samples |
Mean = 57.0 years Sd = 7.9 years |
European | — | UKB | — |
| PSS011376 | — | Median = 12.0 years | 337,910 individuals, 45.6 % Male samples |
Mean = 57.1 years Sd = 8.0 years |
European | — | UKB | — |
| PSS010176 | — | — | [
|
— | European | — | NR | Inter- Lymph Consortium |
| PSS009054 | — | — | 4,052 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS012186 | Type 1 diabetes, diagnosed by physician; cases confirmed through clinical criteria at CHOP. ICD-10 code E10 used where available. | — | [ ,
51.7 % Male samples |
— | European | — | CHOP | Independent validation cohort recruited through the Children's Hospital of Philadelphia (CHOP). No overlap with discovery GWAS samples. |
| PSS012187 | Type 1 diabetes, diagnosed by physician; cases confirmed through clinical criteria at CHOP. ICD-10 code E10 used where available. | — | [ ,
0.0 % Male samples |
— | European | — | CHOP | Independent validation cohort recruited through the Children's Hospital of Philadelphia (CHOP). No overlap with discovery GWAS samples. |
| PSS012188 | Type 1 diabetes, diagnosed by physician; cases confirmed through clinical criteria at CHOP. ICD-10 code E10 used where available. | — | [ ,
100.0 % Male samples |
— | European | — | CHOP | Independent validation cohort recruited through the Children's Hospital of Philadelphia (CHOP). No overlap with discovery GWAS samples. |
| PSS009061 | — | — | 3,954 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009075 | — | — | 4,011 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009104 | — | — | 3,520 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009105 | — | — | 3,509 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS010186 | Plaque psoriasis patients with at least one exposure to biologic therapy. Cases developed one or more paradoxical eczema adverse events during treatment with one of the following biologics: TNF-alpha inhibitors (adalimumab; etanercept; certolizumab; infliximab), IL-17 inhibitors (brodalumab; secukinumab; ixekizumab), IL-12/23 inhibitors (ustekinumab) and IL-23p19 inhibitors (guselkumab; risankizumab; tildrakizumab). Controls has no recorded eczema events during biologic therapy. Participants may have been exposed to more than one biologic. | — | [
|
— | European | — | BSTOP | — |
| PSS009120 | — | — | 4,047 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009121 | — | — | 4,059 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009126 | — | — | 3,878 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009127 | — | — | 3,854 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009136 | — | — | 4,025 individuals | — | European | Poland (NE Europe) | UKB | — |