Trait: infectious disease

Trait Information
Identifier MONDO_0005550
Description A disorder directly resulting from the presence and activity of a microbial, viral, or parasitic agent in humans. It can be transmitted by direct or indirect contact. [NCIT: C26726]
Trait category
Other trait
Synonyms 8 synonyms
  • clinical infection
  • communicable disease
  • infection
  • infectious
  • infectious disease
  • infectious diseases and manifestations
  • infectious disorder
  • transmissible disease
Child trait(s) 12 child traits

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows PGS for child terms of "infectious disease" in the EFO hierarchy.
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)
PGS000925
(GBE_HC1020)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Unspecified acute lower respiratory infection (time-to-event) respiratory tract infectious disorder 402
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000925/ScoringFiles/PGS000925.txt.gz
PGS001011
(GBE_HC534)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Viral warts (time-to-event) common wart 5
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001011/ScoringFiles/PGS001011.txt.gz
PGS001131
(GBE_HC530)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Zoster [herpes zoster] (time-to-event) herpes zoster 82
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001131/ScoringFiles/PGS001131.txt.gz
PGS001869
(portability-PLR_681)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Superficial cellulitis and abscess cellulitis 131
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001869/ScoringFiles/PGS001869.txt.gz
PGS002081
(portability-ldpred2_681)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Superficial cellulitis and abscess cellulitis 640,921
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002081/ScoringFiles/PGS002081.txt.gz
PGS002272
(GRS6_COVID)
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 COVID-19 infection COVID-19 6
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002272/ScoringFiles/PGS002272.txt.gz
PGS002273
(GRS12_COVID)
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 COVID-19 infection COVID-19 12
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002273/ScoringFiles/PGS002273.txt.gz
PGS004938
(pgs_data_ldpred)
 PGP000666 |
Kovalenko E et al. Front Med (Lausanne) (2024)
 Severe COVID-19 course COVID-19 955,503
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004938/ScoringFiles/PGS004938.txt.gz
PGS018419
(TPMI_070_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Viral hepatitis viral hepatitis 1,584
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018419/ScoringFiles/PGS018419.txt.gz
PGS018420
(TPMI_070_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Viral hepatitis viral hepatitis 939,805
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018420/ScoringFiles/PGS018420.txt.gz
PGS018421
(TPMI_070_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Viral hepatitis viral hepatitis 49,513
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018421/ScoringFiles/PGS018421.txt.gz
PGS018422
(TPMI_070_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Viral hepatitis viral hepatitis 983,768
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018422/ScoringFiles/PGS018422.txt.gz
PGS018423
(TPMI_070_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Viral hepatitis viral hepatitis 136,488
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018423/ScoringFiles/PGS018423.txt.gz
PGS018424
(TPMI_070.2_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Viral hepatitis B hepatitis B virus infection 4,575
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018424/ScoringFiles/PGS018424.txt.gz
PGS018425
(TPMI_070.2_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Viral hepatitis B hepatitis B virus infection 939,797
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018425/ScoringFiles/PGS018425.txt.gz
PGS018426
(TPMI_070.2_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Viral hepatitis B hepatitis B virus infection 253,455
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018426/ScoringFiles/PGS018426.txt.gz
PGS018427
(TPMI_070.2_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Viral hepatitis B hepatitis B virus infection 983,762
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018427/ScoringFiles/PGS018427.txt.gz
PGS018428
(TPMI_070.2_PRSmix+)
 PGP000835 |
Chen HH et al. Nature (2025)
 Viral hepatitis B hepatitis B virus infection 1,071,340
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018428/ScoringFiles/PGS018428.txt.gz
PGS018429
(TPMI_070.2_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Viral hepatitis B hepatitis B virus infection 73,098
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018429/ScoringFiles/PGS018429.txt.gz
PGS018440
(TPMI_078_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Viral warts HPV common wart 85
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018440/ScoringFiles/PGS018440.txt.gz
PGS018441
(TPMI_078_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Viral warts HPV common wart 939,884
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018441/ScoringFiles/PGS018441.txt.gz
PGS018442
(TPMI_078_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Viral warts HPV common wart 21,918
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018442/ScoringFiles/PGS018442.txt.gz
PGS018443
(TPMI_078_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Viral warts HPV common wart 983,817
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018443/ScoringFiles/PGS018443.txt.gz
PGS018444
(TPMI_078_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Viral warts HPV common wart 978,577
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018444/ScoringFiles/PGS018444.txt.gz
PGS018445
(TPMI_110.11_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Dermatophytosis of nail tinea unguium 39,561
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018445/ScoringFiles/PGS018445.txt.gz
PGS018446
(TPMI_110.11_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Dermatophytosis of nail tinea unguium 350,151
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018446/ScoringFiles/PGS018446.txt.gz
PGS018447
(TPMI_110.11_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Dermatophytosis of nail tinea unguium 16,307
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018447/ScoringFiles/PGS018447.txt.gz
PGS018448
(TPMI_110.11_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Dermatophytosis of nail tinea unguium 983,814
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018448/ScoringFiles/PGS018448.txt.gz
PGS018449
(TPMI_110.11_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Dermatophytosis of nail tinea unguium 977,859
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018449/ScoringFiles/PGS018449.txt.gz
PGS018450
(TPMI_110.13_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Dermatophytosis of the body dermatophytosis 54
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018450/ScoringFiles/PGS018450.txt.gz
PGS018451
(TPMI_110.13_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Dermatophytosis of the body dermatophytosis 939,803
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018451/ScoringFiles/PGS018451.txt.gz
PGS018452
(TPMI_110.13_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Dermatophytosis of the body dermatophytosis 605,197
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018452/ScoringFiles/PGS018452.txt.gz
PGS018453
(TPMI_110.13_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Dermatophytosis of the body dermatophytosis 983,765
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018453/ScoringFiles/PGS018453.txt.gz
PGS018454
(TPMI_110.13_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Dermatophytosis of the body dermatophytosis 1,012,332
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018454/ScoringFiles/PGS018454.txt.gz
PGS019260
(TPMI_465_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Acute upper respiratory infections of multiple or unspecified sites respiratory tract infectious disorder 407,569
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019260/ScoringFiles/PGS019260.txt.gz
PGS019261
(TPMI_465_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Acute upper respiratory infections of multiple or unspecified sites respiratory tract infectious disorder 939,886
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019261/ScoringFiles/PGS019261.txt.gz
PGS019262
(TPMI_465_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Acute upper respiratory infections of multiple or unspecified sites respiratory tract infectious disorder 517,153
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019262/ScoringFiles/PGS019262.txt.gz
PGS019263
(TPMI_465_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Acute upper respiratory infections of multiple or unspecified sites respiratory tract infectious disorder 983,822
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019263/ScoringFiles/PGS019263.txt.gz
PGS019264
(TPMI_465_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Acute upper respiratory infections of multiple or unspecified sites respiratory tract infectious disorder 897,911
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019264/ScoringFiles/PGS019264.txt.gz
PGS019280
(TPMI_480_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Pneumonia pneumonia 144
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019280/ScoringFiles/PGS019280.txt.gz
PGS019281
(TPMI_480_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Pneumonia pneumonia 149,980
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019281/ScoringFiles/PGS019281.txt.gz
PGS019282
(TPMI_480_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Pneumonia pneumonia 517,334
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019282/ScoringFiles/PGS019282.txt.gz
PGS019283
(TPMI_480_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Pneumonia pneumonia 983,820
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019283/ScoringFiles/PGS019283.txt.gz
PGS019284
(TPMI_480_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Pneumonia pneumonia 947,856
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019284/ScoringFiles/PGS019284.txt.gz
PGS019458
(TPMI_591_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Urinary tract infection urinary tract infection 206,827
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019458/ScoringFiles/PGS019458.txt.gz
PGS019459
(TPMI_591_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Urinary tract infection urinary tract infection 939,883
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019459/ScoringFiles/PGS019459.txt.gz
PGS019460
(TPMI_591_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Urinary tract infection urinary tract infection 17,479
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019460/ScoringFiles/PGS019460.txt.gz
PGS019461
(TPMI_591_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Urinary tract infection urinary tract infection 983,825
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019461/ScoringFiles/PGS019461.txt.gz
PGS019462
(TPMI_591_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Urinary tract infection urinary tract infection 936,271
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019462/ScoringFiles/PGS019462.txt.gz
PGS019572
(TPMI_681.1_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Cellulitis and abscess of fingers toes abscess,
cellulitis		 147,425
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019572/ScoringFiles/PGS019572.txt.gz
PGS019573
(TPMI_681.1_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Cellulitis and abscess of fingers toes abscess,
cellulitis		 309,069
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019573/ScoringFiles/PGS019573.txt.gz
PGS019574
(TPMI_681.1_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Cellulitis and abscess of fingers toes abscess,
cellulitis		 31,805
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019574/ScoringFiles/PGS019574.txt.gz
PGS019575
(TPMI_681.1_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Cellulitis and abscess of fingers toes abscess,
cellulitis		 983,773
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019575/ScoringFiles/PGS019575.txt.gz
PGS019576
(TPMI_681.1_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Cellulitis and abscess of fingers toes abscess,
cellulitis		 996,414
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019576/ScoringFiles/PGS019576.txt.gz

Performance Metrics

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

PGS Performance
Metric ID (PPM) 		Evaluated Score PGS Sample Set ID
(PSS) 		Performance Source Trait PGS Effect Sizes
(per SD change) 		Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
PPM007452 PGS000925
(GBE_HC1020)
 PSS004064|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE unspecified acute lower respiratory infection — AUROC: 0.57269 [0.54679, 0.59859] R²: 0.01184
Incremental AUROC (full-covars): -0.00336
PGS R2 (no covariates): 1e-05
PGS AUROC (no covariates): 0.50444 [0.47789, 0.53099]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007453 PGS000925
(GBE_HC1020)
 PSS004065|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE unspecified acute lower respiratory infection — AUROC: 0.60323 [0.54812, 0.65835] R²: 0.03851
Incremental AUROC (full-covars): -0.00133
PGS R2 (no covariates): 6e-05
PGS AUROC (no covariates): 0.50156 [0.44741, 0.55572]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007454 PGS000925
(GBE_HC1020)
 PSS004066|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE unspecified acute lower respiratory infection — AUROC: 0.5999 [0.58827, 0.61153] R²: 0.02334
Incremental AUROC (full-covars): -0.00017
PGS R2 (no covariates): 0.00015
PGS AUROC (no covariates): 0.50839 [0.49651, 0.52027]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007455 PGS000925
(GBE_HC1020)
 PSS004067|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE unspecified acute lower respiratory infection — AUROC: 0.59639 [0.57815, 0.61463] R²: 0.02321
Incremental AUROC (full-covars): -0.00306
PGS R2 (no covariates): 0.00104
PGS AUROC (no covariates): 0.47878 [0.46019, 0.49737]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007456 PGS000925
(GBE_HC1020)
 PSS004068|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE unspecified acute lower respiratory infection — AUROC: 0.58398 [0.57742, 0.59055] R²: 0.01732
Incremental AUROC (full-covars): 0.00092
PGS R2 (no covariates): 0.00054
PGS AUROC (no covariates): 0.51573 [0.50903, 0.52242]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007818 PGS001011
(GBE_HC534)
 PSS004521|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE viral warts — AUROC: 0.62763 [0.56904, 0.68622] R²: 0.01913
Incremental AUROC (full-covars): -0.00455
PGS R2 (no covariates): 0.00116
PGS AUROC (no covariates): 0.48242 [0.41987, 0.54497]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007819 PGS001011
(GBE_HC534)
 PSS004522|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE viral warts — AUROC: 0.65545 [0.57671, 0.73418] R²: 0.03677
Incremental AUROC (full-covars): -0.00026
PGS R2 (no covariates): 1e-05
PGS AUROC (no covariates): 0.50846 [0.40705, 0.60986]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007820 PGS001011
(GBE_HC534)
 PSS004523|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE viral warts — AUROC: 0.56023 [0.54032, 0.58015] R²: 0.0051
Incremental AUROC (full-covars): 0.01103
PGS R2 (no covariates): 0.00154
PGS AUROC (no covariates): 0.53437 [0.51402, 0.55472]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007821 PGS001011
(GBE_HC534)
 PSS004524|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE viral warts — AUROC: 0.5793 [0.54592, 0.61268] R²: 0.01114
Incremental AUROC (full-covars): 0.00245
PGS R2 (no covariates): 0.00048
PGS AUROC (no covariates): 0.51036 [0.47743, 0.54328]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007822 PGS001011
(GBE_HC534)
 PSS004525|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE viral warts — AUROC: 0.56004 [0.54811, 0.57198] R²: 0.00576
Incremental AUROC (full-covars): 0.00636
PGS R2 (no covariates): 0.00167
PGS AUROC (no covariates): 0.53057 [0.51862, 0.54252]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008383 PGS001131
(GBE_HC530)
 PSS004516|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE zoster [herpes zoster] — AUROC: 0.66564 [0.59848, 0.7328] R²: 0.02855
Incremental AUROC (full-covars): 0.00653
PGS R2 (no covariates): 0.00463
PGS AUROC (no covariates): 0.5717 [0.50786, 0.63553]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008384 PGS001131
(GBE_HC530)
 PSS004517|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE zoster [herpes zoster] — AUROC: 0.6496 [0.5711, 0.7281] R²: 0.02884
Incremental AUROC (full-covars): 0.00319
PGS R2 (no covariates): 1e-05
PGS AUROC (no covariates): 0.49296 [0.39896, 0.58695]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008385 PGS001131
(GBE_HC530)
 PSS004518|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE zoster [herpes zoster] — AUROC: 0.61339 [0.59385, 0.63293] R²: 0.01934
Incremental AUROC (full-covars): 0.00397
PGS R2 (no covariates): 0.00108
PGS AUROC (no covariates): 0.52734 [0.50543, 0.54926]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008386 PGS001131
(GBE_HC530)
 PSS004519|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE zoster [herpes zoster] — AUROC: 0.64482 [0.60407, 0.68558] R²: 0.02792
Incremental AUROC (full-covars): -0.00388
PGS R2 (no covariates): 0.00012
PGS AUROC (no covariates): 0.49268 [0.44738, 0.53799]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008387 PGS001131
(GBE_HC530)
 PSS004520|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE zoster [herpes zoster] — AUROC: 0.60947 [0.59775, 0.62119] R²: 0.0198
Incremental AUROC (full-covars): 0.00787
PGS R2 (no covariates): 0.00329
PGS AUROC (no covariates): 0.54558 [0.53361, 0.55755]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009841 PGS001869
(portability-PLR_681)
 PSS009345|
European Ancestry|
19,807 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Superficial cellulitis and abscess — — Partial Correlation (partial-r): 0.0142 sex, age, birth date, deprivation index, 16 PCs —
PPM009842 PGS001869
(portability-PLR_681)
 PSS009119|
European Ancestry|
4,093 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Superficial cellulitis and abscess — — Partial Correlation (partial-r): -0.0247 [-0.0554, 0.006] sex, age, birth date, deprivation index, 16 PCs —
PPM009843 PGS001869
(portability-PLR_681)
 PSS008673|
European Ancestry|
6,586 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Superficial cellulitis and abscess — — Partial Correlation (partial-r): -0.004 [-0.0282, 0.0201] sex, age, birth date, deprivation index, 16 PCs —
PPM009844 PGS001869
(portability-PLR_681)
 PSS008447|
Greater Middle Eastern Ancestry|
1,189 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Superficial cellulitis and abscess — — Partial Correlation (partial-r): 0.0014 [-0.0559, 0.0587] sex, age, birth date, deprivation index, 16 PCs —
PPM009845 PGS001869
(portability-PLR_681)
 PSS008227|
South Asian Ancestry|
6,213 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Superficial cellulitis and abscess — — Partial Correlation (partial-r): 0.0057 [-0.0192, 0.0306] sex, age, birth date, deprivation index, 16 PCs —
PPM009846 PGS001869
(portability-PLR_681)
 PSS008008|
East Asian Ancestry|
1,803 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Superficial cellulitis and abscess — — Partial Correlation (partial-r): -0.0207 [-0.0671, 0.0257] sex, age, birth date, deprivation index, 16 PCs —
PPM009847 PGS001869
(portability-PLR_681)
 PSS007792|
African Ancestry|
2,440 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Superficial cellulitis and abscess — — Partial Correlation (partial-r): -0.0078 [-0.0476, 0.0321] sex, age, birth date, deprivation index, 16 PCs —
PPM009848 PGS001869
(portability-PLR_681)
 PSS008896|
African Ancestry|
3,853 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Superficial cellulitis and abscess — — Partial Correlation (partial-r): -0.0033 [-0.0349, 0.0284] sex, age, birth date, deprivation index, 16 PCs —
PPM011509 PGS002081
(portability-ldpred2_681)
 PSS009345|
European Ancestry|
19,807 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Superficial cellulitis and abscess — — Partial Correlation (partial-r): 0.0247 [0.0108, 0.0386] sex, age, birth date, deprivation index, 16 PCs —
PPM011510 PGS002081
(portability-ldpred2_681)
 PSS009119|
European Ancestry|
4,093 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Superficial cellulitis and abscess — — Partial Correlation (partial-r): 0.0189 [-0.0118, 0.0496] sex, age, birth date, deprivation index, 16 PCs —
PPM011511 PGS002081
(portability-ldpred2_681)
 PSS008673|
European Ancestry|
6,586 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Superficial cellulitis and abscess — — Partial Correlation (partial-r): 0.009 [-0.0152, 0.0332] sex, age, birth date, deprivation index, 16 PCs —
PPM011512 PGS002081
(portability-ldpred2_681)
 PSS008447|
Greater Middle Eastern Ancestry|
1,189 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Superficial cellulitis and abscess — — Partial Correlation (partial-r): 0.021 [-0.0364, 0.0782] sex, age, birth date, deprivation index, 16 PCs —
PPM011513 PGS002081
(portability-ldpred2_681)
 PSS008227|
South Asian Ancestry|
6,213 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Superficial cellulitis and abscess — — Partial Correlation (partial-r): 0.0082 [-0.0167, 0.0331] sex, age, birth date, deprivation index, 16 PCs —
PPM011514 PGS002081
(portability-ldpred2_681)
 PSS008008|
East Asian Ancestry|
1,803 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Superficial cellulitis and abscess — — Partial Correlation (partial-r): -0.0251 [-0.0715, 0.0213] sex, age, birth date, deprivation index, 16 PCs —
PPM011516 PGS002081
(portability-ldpred2_681)
 PSS008896|
African Ancestry|
3,853 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Superficial cellulitis and abscess — — Partial Correlation (partial-r): -0.0005 [-0.0321, 0.0312] sex, age, birth date, deprivation index, 16 PCs —
PPM011515 PGS002081
(portability-ldpred2_681)
 PSS007792|
African Ancestry|
2,440 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Superficial cellulitis and abscess — — Partial Correlation (partial-r): -0.0119 [-0.0518, 0.0279] sex, age, birth date, deprivation index, 16 PCs —
PPM012926 PGS002272
(GRS6_COVID)
 PSS009624|
European Ancestry|
44,958 individuals
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 Reported Trait: Risk of hospitalization (COVID-19) — — OR (top 10% vs rest of population): 1.38 [1.26, 1.53] Age, sex, age-by-sex interaction and ten ancestry-informative PCs —
PPM012927 PGS002272
(GRS6_COVID)
 PSS009624|
European Ancestry|
44,958 individuals
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 Reported Trait: Risk of severe disease (COVID-19) — — OR (top 10% vs rest of population): 1.58 [1.36, 1.82] Age, sex, age-by-sex interaction and ten ancestry-informative PCs —
PPM012928 PGS002272
(GRS6_COVID)
 PSS009623|
African Ancestry|
2,598 individuals
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 Reported Trait: Risk of hospitalization (COVID-19) — — OR (top 10% vs rest of population): 1.7 [1.03, 2.82] Age, sex, age-by-sex interaction and ten ancestry-informative PCs —
PPM012929 PGS002272
(GRS6_COVID)
 PSS009625|
Hispanic or Latin American Ancestry|
3,752 individuals
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 Reported Trait: Risk of hospitalization (COVID-19) — — OR (top 10% vs rest of population): 1.56 [1.0, 2.43] Age, sex, age-by-sex interaction and ten ancestry-informative PCs —
PPM012930 PGS002272
(GRS6_COVID)
 PSS009626|
South Asian Ancestry|
760 individuals
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 Reported Trait: Risk of hospitalization (COVID-19) — — OR (top 10% vs rest of population): 1.42 [0.72, 2.82] Age, sex, age-by-sex interaction and ten ancestry-informative PCs —
PPM012933 PGS002272
(GRS6_COVID)
 PSS009624|
European Ancestry|
44,958 individuals
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 Reported Trait: Risk of hospitalization (COVID-19) in those with high clinical risk — — OR (top 10% vs rest of population): 1.39 [1.23, 1.56] — High clinical risk included indiviiduals with any of the following criteria: age≥65, BMI≥35, chronic kidney disease, diabetes, immunosuppressive disease, or age ≥55 and presence of chronic obstructive pulmonary disease, cardiovascular disease, or hypertension
PPM012934 PGS002272
(GRS6_COVID)
 PSS009624|
European Ancestry|
44,958 individuals
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 Reported Trait: Risk of severe disease (COVID-19) in those with high clinical risk — — OR (top 10% vs rest of population): 1.65 [1.39, 1.96] — High clinical risk included indiviiduals with any of the following criteria: age≥65, BMI≥35, chronic kidney disease, diabetes, immunosuppressive disease, or age ≥55 and presence of chronic obstructive pulmonary disease, cardiovascular disease, or hypertension
PPM012935 PGS002272
(GRS6_COVID)
 PSS009625|
Hispanic or Latin American Ancestry|
3,752 individuals
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 Reported Trait: Risk of severe disease (COVID-19) in those with high clinical risk — — OR (top 10% vs rest of population): 3.35 [1.56, 7.2] — —
PPM012936 PGS002272
(GRS6_COVID)
 PSS009622|
European Ancestry|
14,320 individuals
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 Reported Trait: Risk of hospitalization (COVID-19) — AUROC: 0.659 [0.639, 0.679] — age, sex, PCs —
PPM012937 PGS002272
(GRS6_COVID)
 PSS009622|
European Ancestry|
14,320 individuals
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 Reported Trait: Risk of hospitalization (COVID-19) — AUROC: 0.708 [0.688, 0.727] — age, sex, PCs, BMI, CVD, hypertension, diabetes, CKD, COPD, Autoimmune —
PPM012938 PGS002272
(GRS6_COVID)
 PSS009622|
European Ancestry|
14,320 individuals
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 Reported Trait: Risk of severe disease (COVID-19) — AUROC: 0.696 [0.668, 0.723] — age, sex, PCs —
PPM012939 PGS002272
(GRS6_COVID)
 PSS009622|
European Ancestry|
14,320 individuals
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 Reported Trait: Risk of severe disease (COVID-19) — AUROC: 0.75 [0.723, 0.776] — age, sex, PCs, BMI, CVD, hypertension, diabetes, CKD, COPD, Autoimmune —
PPM012940 PGS002272
(GRS6_COVID)
 PSS009621|
European Ancestry|
25,353 individuals
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 Reported Trait: Risk of hospitalization (COVID-19) — AUROC: 0.744 [0.731, 0.756] — age, sex, PCs —
PPM012941 PGS002272
(GRS6_COVID)
 PSS009621|
European Ancestry|
25,353 individuals
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 Reported Trait: Risk of hospitalization (COVID-19) — AUROC: 0.766 [0.753, 0.778] — age, sex, PCs, BMI, CVD, hypertension, diabetes, CKD, COPD, Autoimmune —
PPM012942 PGS002272
(GRS6_COVID)
 PSS009621|
European Ancestry|
25,353 individuals
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 Reported Trait: Risk of severe disease (COVID-19) — AUROC: 0.796 [0.777, 0.815] — age, sex, PCs —
PPM012943 PGS002272
(GRS6_COVID)
 PSS009621|
European Ancestry|
25,353 individuals
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 Reported Trait: Risk of severe disease (COVID-19) — AUROC: 0.814 [0.769, 0.832] — age, sex, PCs, BMI, CVD, hypertension, diabetes, CKD, COPD, Autoimmune —
PPM012931 PGS002273
(GRS12_COVID)
 PSS009624|
European Ancestry|
44,958 individuals
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 Reported Trait: Risk of hospitalization (COVID-19) — — OR (top 10% vs rest of population): 1.38 [1.26, 1.52] Age, sex, age-by-sex interaction and ten ancestry-informative PCs —
PPM012932 PGS002273
(GRS12_COVID)
 PSS009624|
European Ancestry|
44,958 individuals
 PGP000302 |
Horowitz JE et al. Nat Genet (2022)
 Reported Trait: Risk of severe disease (COVID-19) — — OR (top 10% vs rest of population): 1.64 [1.43, 1.9] Age, sex, age-by-sex interaction and ten ancestry-informative PCs —
PPM021730 PGS004938
(pgs_data_ldpred)
 PSS011763|
European Ancestry|
7,124 individuals
 PGP000666 |
Kovalenko E et al. Front Med (Lausanne) (2024)
 Reported Trait: Severe COVID-19 course — AUROC: 0.6 Odds ratio (OR, high vs low tertile): 2.25 PC1-20, sex, gender —
PPM036601 PGS018419
(TPMI_070_Lassosum2)
 PSS012338|
East Asian Ancestry|
18,392 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Viral hepatitis — AUROC: 0.66584 R²: 0.09632 sex, age, array, PCs 1-10 —
PPM036602 PGS018420
(TPMI_070_LDpred2)
 PSS012337|
East Asian Ancestry|
18,392 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Viral hepatitis — AUROC: 0.66706 R²: 0.09753 sex, age, array, PCs 1-10 —
PPM036603 PGS018421
(TPMI_070_MegaPRS)
 PSS012339|
East Asian Ancestry|
18,392 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Viral hepatitis — AUROC: 0.65859 R²: 0.08984 sex, age, array, PCs 1-10 —
PPM036604 PGS018422
(TPMI_070_PRS-CS)
 PSS012340|
East Asian Ancestry|
18,392 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Viral hepatitis — AUROC: 0.66524 R²: 0.09576 sex, age, array, PCs 1-10 —
PPM036605 PGS018423
(TPMI_070_SBayesR)
 PSS012341|
East Asian Ancestry|
18,392 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Viral hepatitis — AUROC: 0.66205 R²: 0.09237 sex, age, array, PCs 1-10 —
PPM036606 PGS018424
(TPMI_070.2_Lassosum2)
 PSS012322|
East Asian Ancestry|
16,415 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Viral hepatitis B — AUROC: 0.73149 R²: 0.12951 sex, age, array, PCs 1-10 —
PPM036607 PGS018425
(TPMI_070.2_LDpred2)
 PSS012321|
East Asian Ancestry|
16,415 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Viral hepatitis B — AUROC: 0.73251 R²: 0.13063 sex, age, array, PCs 1-10 —
PPM036608 PGS018426
(TPMI_070.2_MegaPRS)
 PSS012323|
East Asian Ancestry|
16,415 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Viral hepatitis B — AUROC: 0.70874 R²: 0.10883 sex, age, array, PCs 1-10 —
PPM036609 PGS018427
(TPMI_070.2_PRS-CS)
 PSS012324|
East Asian Ancestry|
16,415 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Viral hepatitis B — AUROC: 0.72807 R²: 0.12453 sex, age, array, PCs 1-10 —
PPM036610 PGS018428
(TPMI_070.2_PRSmix+)
 PSS012325|
East Asian Ancestry|
16,415 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Viral hepatitis B — AUROC: 0.73833 R²: 0.13621 sex, age, array, PCs 1-10 —
PPM036611 PGS018429
(TPMI_070.2_SBayesR)
 PSS012326|
East Asian Ancestry|
16,415 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Viral hepatitis B — AUROC: 0.71321 R²: 0.11347 sex, age, array, PCs 1-10 —
PPM036622 PGS018440
(TPMI_078_Lassosum2)
 PSS012343|
East Asian Ancestry|
15,250 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Viral warts HPV — AUROC: 0.68328 R²: 0.05397 sex, age, array, PCs 1-10 —
PPM036623 PGS018441
(TPMI_078_LDpred2)
 PSS012342|
East Asian Ancestry|
15,250 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Viral warts HPV — AUROC: 0.68573 R²: 0.05489 sex, age, array, PCs 1-10 —
PPM036624 PGS018442
(TPMI_078_MegaPRS)
 PSS012344|
East Asian Ancestry|
15,250 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Viral warts HPV — AUROC: 0.68774 R²: 0.05587 sex, age, array, PCs 1-10 —
PPM036625 PGS018443
(TPMI_078_PRS-CS)
 PSS012345|
East Asian Ancestry|
15,250 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Viral warts HPV — AUROC: 0.69124 R²: 0.05719 sex, age, array, PCs 1-10 —
PPM036626 PGS018444
(TPMI_078_SBayesR)
 PSS012346|
East Asian Ancestry|
15,250 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Viral warts HPV — AUROC: 0.68781 R²: 0.05626 sex, age, array, PCs 1-10 —
PPM036627 PGS018445
(TPMI_110.11_Lassosum2)
 PSS012348|
East Asian Ancestry|
18,675 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Dermatophytosis of nail — AUROC: 0.64442 R²: 0.03556 sex, age, array, PCs 1-10 —
PPM036628 PGS018446
(TPMI_110.11_LDpred2)
 PSS012347|
East Asian Ancestry|
18,675 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Dermatophytosis of nail — AUROC: 0.64093 R²: 0.03399 sex, age, array, PCs 1-10 —
PPM036629 PGS018447
(TPMI_110.11_MegaPRS)
 PSS012349|
East Asian Ancestry|
18,675 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Dermatophytosis of nail — AUROC: 0.63748 R²: 0.03245 sex, age, array, PCs 1-10 —
PPM036630 PGS018448
(TPMI_110.11_PRS-CS)
 PSS012350|
East Asian Ancestry|
18,675 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Dermatophytosis of nail — AUROC: 0.64402 R²: 0.03487 sex, age, array, PCs 1-10 —
PPM036631 PGS018449
(TPMI_110.11_SBayesR)
 PSS012351|
East Asian Ancestry|
18,675 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Dermatophytosis of nail — AUROC: 0.64206 R²: 0.03373 sex, age, array, PCs 1-10 —
PPM036632 PGS018450
(TPMI_110.13_Lassosum2)
 PSS012353|
East Asian Ancestry|
18,380 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Dermatophytosis of the body — AUROC: 0.66227 R²: 0.01587 sex, age, array, PCs 1-10 —
PPM036633 PGS018451
(TPMI_110.13_LDpred2)
 PSS012352|
East Asian Ancestry|
18,380 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Dermatophytosis of the body — AUROC: 0.66275 R²: 0.01528 sex, age, array, PCs 1-10 —
PPM036634 PGS018452
(TPMI_110.13_MegaPRS)
 PSS012354|
East Asian Ancestry|
18,380 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Dermatophytosis of the body — AUROC: 0.66222 R²: 0.01529 sex, age, array, PCs 1-10 —
PPM036635 PGS018453
(TPMI_110.13_PRS-CS)
 PSS012355|
East Asian Ancestry|
18,380 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Dermatophytosis of the body — AUROC: 0.66296 R²: 0.01529 sex, age, array, PCs 1-10 —
PPM036636 PGS018454
(TPMI_110.13_SBayesR)
 PSS012356|
East Asian Ancestry|
18,380 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Dermatophytosis of the body — AUROC: 0.66265 R²: 0.01527 sex, age, array, PCs 1-10 —
PPM037442 PGS019260
(TPMI_465_Lassosum2)
 PSS013163|
East Asian Ancestry|
18,660 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Acute upper respiratory infections of multiple or unspecified sites — AUROC: 0.71615 R²: 0.28487 sex, age, array, PCs 1-10 —
PPM037443 PGS019261
(TPMI_465_LDpred2)
 PSS013162|
East Asian Ancestry|
18,660 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Acute upper respiratory infections of multiple or unspecified sites — AUROC: 0.71605 R²: 0.28476 sex, age, array, PCs 1-10 —
PPM037444 PGS019262
(TPMI_465_MegaPRS)
 PSS013164|
East Asian Ancestry|
18,660 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Acute upper respiratory infections of multiple or unspecified sites — AUROC: 0.71607 R²: 0.28476 sex, age, array, PCs 1-10 —
PPM037445 PGS019263
(TPMI_465_PRS-CS)
 PSS013165|
East Asian Ancestry|
18,660 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Acute upper respiratory infections of multiple or unspecified sites — AUROC: 0.71618 R²: 0.28489 sex, age, array, PCs 1-10 —
PPM037446 PGS019264
(TPMI_465_SBayesR)
 PSS013166|
East Asian Ancestry|
18,660 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Acute upper respiratory infections of multiple or unspecified sites — AUROC: 0.71596 R²: 0.28467 sex, age, array, PCs 1-10 —
PPM037462 PGS019280
(TPMI_480_Lassosum2)
 PSS013183|
East Asian Ancestry|
18,873 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Pneumonia — AUROC: 0.61192 R²: 0.04685 sex, age, array, PCs 1-10 —
PPM037463 PGS019281
(TPMI_480_LDpred2)
 PSS013182|
East Asian Ancestry|
18,873 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Pneumonia — AUROC: 0.61184 R²: 0.04681 sex, age, array, PCs 1-10 —
PPM037464 PGS019282
(TPMI_480_MegaPRS)
 PSS013184|
East Asian Ancestry|
18,873 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Pneumonia — AUROC: 0.6121 R²: 0.04688 sex, age, array, PCs 1-10 —
PPM037465 PGS019283
(TPMI_480_PRS-CS)
 PSS013185|
East Asian Ancestry|
18,873 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Pneumonia — AUROC: 0.61189 R²: 0.0468 sex, age, array, PCs 1-10 —
PPM037466 PGS019284
(TPMI_480_SBayesR)
 PSS013186|
East Asian Ancestry|
18,873 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Pneumonia — AUROC: 0.61187 R²: 0.0469 sex, age, array, PCs 1-10 —
PPM037640 PGS019458
(TPMI_591_Lassosum2)
 PSS013361|
East Asian Ancestry|
18,273 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Urinary tract infection — AUROC: 0.66353 R²: 0.09542 sex, age, array, PCs 1-10 —
PPM037641 PGS019459
(TPMI_591_LDpred2)
 PSS013360|
East Asian Ancestry|
18,273 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Urinary tract infection — AUROC: 0.66545 R²: 0.09731 sex, age, array, PCs 1-10 —
PPM037642 PGS019460
(TPMI_591_MegaPRS)
 PSS013362|
East Asian Ancestry|
18,273 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Urinary tract infection — AUROC: 0.66369 R²: 0.09607 sex, age, array, PCs 1-10 —
PPM037643 PGS019461
(TPMI_591_PRS-CS)
 PSS013363|
East Asian Ancestry|
18,273 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Urinary tract infection — AUROC: 0.66504 R²: 0.09682 sex, age, array, PCs 1-10 —
PPM037644 PGS019462
(TPMI_591_SBayesR)
 PSS013364|
East Asian Ancestry|
18,273 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Urinary tract infection — AUROC: 0.66453 R²: 0.09655 sex, age, array, PCs 1-10 —
PPM037754 PGS019572
(TPMI_681.1_Lassosum2)
 PSS013475|
East Asian Ancestry|
17,970 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Cellulitis and abscess of fingers toes — AUROC: 0.57611 R²: 0.00307 sex, age, array, PCs 1-10 —
PPM037755 PGS019573
(TPMI_681.1_LDpred2)
 PSS013474|
East Asian Ancestry|
17,970 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Cellulitis and abscess of fingers toes — AUROC: 0.58225 R²: 0.00322 sex, age, array, PCs 1-10 —
PPM037756 PGS019574
(TPMI_681.1_MegaPRS)
 PSS013476|
East Asian Ancestry|
17,970 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Cellulitis and abscess of fingers toes — AUROC: 0.57457 R²: 0.00283 sex, age, array, PCs 1-10 —
PPM037757 PGS019575
(TPMI_681.1_PRS-CS)
 PSS013477|
East Asian Ancestry|
17,970 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Cellulitis and abscess of fingers toes — AUROC: 0.57797 R²: 0.00306 sex, age, array, PCs 1-10 —
PPM037758 PGS019576
(TPMI_681.1_SBayesR)
 PSS013478|
East Asian Ancestry|
17,970 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Cellulitis and abscess of fingers toes — AUROC: 0.57415 R²: 0.00292 sex, age, array, PCs 1-10 —

Evaluated Samples

PGS Sample Set ID
(PSS) 		Phenotype Definitions and Methods Participant Follow-up Time Sample Numbers Age of Study Participants Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
PSS009621 COVID-19 positive, that is, those with a positive qPCR orserology test for SARS-CoV-2 or with a COVID-19-related ICD-10 code (U07), hospitalization or death — 25,353 individuals — European — AncestryDNA —
PSS009622 COVID-19 positive, that is, those with a positive qPCR orserology test for SARS-CoV-2 or with a COVID-19-related ICD-10 code (U07), hospitalization or death — 14,320 individuals — European — UKB —
PSS009623 COVID-19 positive, that is, those with a positive qPCR orserology test for SARS-CoV-2 or with a COVID-19-related ICD-10 code (U07), hospitalization or death — 2,598 individuals — African unspecified — AncestryDNA, MyCode, UKB Meta-analysis
PSS008008 — — 1,803 individuals — East Asian China (East Asia) UKB —
PSS009624 COVID-19 positive, that is, those with a positive qPCR orserology test for SARS-CoV-2 or with a COVID-19-related ICD-10 code (U07), hospitalization or death — 44,958 individuals — European — AncestryDNA, MyCode, UKB Meta-analysis
PSS009625 COVID-19 positive, that is, those with a positive qPCR orserology test for SARS-CoV-2 or with a COVID-19-related ICD-10 code (U07), hospitalization or death — 3,752 individuals — Hispanic or Latin American — AncestryDNA, MyCode, UKB Meta-analysis
PSS009626 COVID-19 positive, that is, those with a positive qPCR orserology test for SARS-CoV-2 or with a COVID-19-related ICD-10 code (U07), hospitalization or death — 760 individuals — South Asian — AncestryDNA, MyCode, UKB Meta-analysis
PSS013183 003.22, 020.3, 020.4, 020.5, 021.2, 022.1, 031.0, 039.1, 052.1, 055.1, 073.0, 083.0, 112.4, 114.0, 114.4, 114.5, 130.4, 136.3, 480, 481, 482, 483, 484, 485, 486, 513, 517.1, V12.61,A02.22, A20.2, A21.2, A22.1, A31.0, A37.01, A37.11, A37.81, A37.91, A42.0, A43.0, A48.1, A75, A78, B01.2, B05.2, B25.0, B37.1, B38.0, B38.1, B38.2, B44.0, B58.3, B59, B77.81, J12, J13, J14, J15.0, J15.1, J15.2, J15.3, J15.4, J15.5, J15.6, J15.7, J15.8, J15.9, J16.0, J16.8, J17, J18, J85, Z87.01 —
[
  • 736 cases
  • , 18,137 controls
]
,
46.09 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013182 003.22, 020.3, 020.4, 020.5, 021.2, 022.1, 031.0, 039.1, 052.1, 055.1, 073.0, 083.0, 112.4, 114.0, 114.4, 114.5, 130.4, 136.3, 480, 481, 482, 483, 484, 485, 486, 513, 517.1, V12.61,A02.22, A20.2, A21.2, A22.1, A31.0, A37.01, A37.11, A37.81, A37.91, A42.0, A43.0, A48.1, A75, A78, B01.2, B05.2, B25.0, B37.1, B38.0, B38.1, B38.2, B44.0, B58.3, B59, B77.81, J12, J13, J14, J15.0, J15.1, J15.2, J15.3, J15.4, J15.5, J15.6, J15.7, J15.8, J15.9, J16.0, J16.8, J17, J18, J85, Z87.01 —
[
  • 736 cases
  • , 18,137 controls
]
,
46.09 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013184 003.22, 020.3, 020.4, 020.5, 021.2, 022.1, 031.0, 039.1, 052.1, 055.1, 073.0, 083.0, 112.4, 114.0, 114.4, 114.5, 130.4, 136.3, 480, 481, 482, 483, 484, 485, 486, 513, 517.1, V12.61,A02.22, A20.2, A21.2, A22.1, A31.0, A37.01, A37.11, A37.81, A37.91, A42.0, A43.0, A48.1, A75, A78, B01.2, B05.2, B25.0, B37.1, B38.0, B38.1, B38.2, B44.0, B58.3, B59, B77.81, J12, J13, J14, J15.0, J15.1, J15.2, J15.3, J15.4, J15.5, J15.6, J15.7, J15.8, J15.9, J16.0, J16.8, J17, J18, J85, Z87.01 —
[
  • 736 cases
  • , 18,137 controls
]
,
46.09 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013185 003.22, 020.3, 020.4, 020.5, 021.2, 022.1, 031.0, 039.1, 052.1, 055.1, 073.0, 083.0, 112.4, 114.0, 114.4, 114.5, 130.4, 136.3, 480, 481, 482, 483, 484, 485, 486, 513, 517.1, V12.61,A02.22, A20.2, A21.2, A22.1, A31.0, A37.01, A37.11, A37.81, A37.91, A42.0, A43.0, A48.1, A75, A78, B01.2, B05.2, B25.0, B37.1, B38.0, B38.1, B38.2, B44.0, B58.3, B59, B77.81, J12, J13, J14, J15.0, J15.1, J15.2, J15.3, J15.4, J15.5, J15.6, J15.7, J15.8, J15.9, J16.0, J16.8, J17, J18, J85, Z87.01 —
[
  • 736 cases
  • , 18,137 controls
]
,
46.09 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013186 003.22, 020.3, 020.4, 020.5, 021.2, 022.1, 031.0, 039.1, 052.1, 055.1, 073.0, 083.0, 112.4, 114.0, 114.4, 114.5, 130.4, 136.3, 480, 481, 482, 483, 484, 485, 486, 513, 517.1, V12.61,A02.22, A20.2, A21.2, A22.1, A31.0, A37.01, A37.11, A37.81, A37.91, A42.0, A43.0, A48.1, A75, A78, B01.2, B05.2, B25.0, B37.1, B38.0, B38.1, B38.2, B44.0, B58.3, B59, B77.81, J12, J13, J14, J15.0, J15.1, J15.2, J15.3, J15.4, J15.5, J15.6, J15.7, J15.8, J15.9, J16.0, J16.8, J17, J18, J85, Z87.01 —
[
  • 736 cases
  • , 18,137 controls
]
,
46.09 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS008673 — — 6,586 individuals — European Italy (South Europe) UKB —
PSS004064 — —
[
  • 485 cases
  • , 6,012 controls
]
 — African unspecified — UKB —
PSS004065 — —
[
  • 112 cases
  • , 1,592 controls
]
 — East Asian — UKB —
PSS004066 — —
[
  • 2,487 cases
  • , 22,418 controls
]
 — European non-white British ancestry UKB —
PSS004067 — —
[
  • 1,025 cases
  • , 6,806 controls
]
 — South Asian — UKB —
PSS004068 — —
[
  • 8,119 cases
  • , 59,306 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS012322 070.2, 070.3,B16, B18.0, B18.1, B19.1 —
[
  • 1,504 cases
  • , 14,911 controls
]
,
46.13 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012321 070.2, 070.3,B16, B18.0, B18.1, B19.1 —
[
  • 1,504 cases
  • , 14,911 controls
]
,
46.13 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012323 070.2, 070.3,B16, B18.0, B18.1, B19.1 —
[
  • 1,504 cases
  • , 14,911 controls
]
,
46.13 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS007792 — — 2,440 individuals — African American or Afro-Caribbean Carribean UKB —
PSS012324 070.2, 070.3,B16, B18.0, B18.1, B19.1 —
[
  • 1,504 cases
  • , 14,911 controls
]
,
46.13 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012325 070.2, 070.3,B16, B18.0, B18.1, B19.1 —
[
  • 1,504 cases
  • , 14,911 controls
]
,
46.13 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012326 070.2, 070.3,B16, B18.0, B18.1, B19.1 —
[
  • 1,504 cases
  • , 14,911 controls
]
,
46.13 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013362 599.0, V13.02,N39.0, Z87.440 —
[
  • 1,581 cases
  • , 16,692 controls
]
,
46.46 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013474 681,L02.51, L02.61, L03.0 —
[
  • 145 cases
  • , 17,825 controls
]
,
45.58 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013361 599.0, V13.02,N39.0, Z87.440 —
[
  • 1,581 cases
  • , 16,692 controls
]
,
46.46 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013360 599.0, V13.02,N39.0, Z87.440 —
[
  • 1,581 cases
  • , 16,692 controls
]
,
46.46 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012337 070, 571.4, 573.1, 573.2, 573.3,B15.0, B15.9, B16, B17.0, B17.1, B17.2, B17.8, B17.9, B18.0, B18.1, B18.2, B18.8, B18.9, B19, B25.1, K71.0, K71.10, K71.11, K71.2, K71.3, K71.4, K71.5, K71.6, K71.7, K71.8, K71.9, K73, K75.2, K75.3, K75.4, K75.89, K75.9, K76.4 —
[
  • 3,481 cases
  • , 14,911 controls
]
,
46.26 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012338 070, 571.4, 573.1, 573.2, 573.3,B15.0, B15.9, B16, B17.0, B17.1, B17.2, B17.8, B17.9, B18.0, B18.1, B18.2, B18.8, B18.9, B19, B25.1, K71.0, K71.10, K71.11, K71.2, K71.3, K71.4, K71.5, K71.6, K71.7, K71.8, K71.9, K73, K75.2, K75.3, K75.4, K75.89, K75.9, K76.4 —
[
  • 3,481 cases
  • , 14,911 controls
]
,
46.26 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012339 070, 571.4, 573.1, 573.2, 573.3,B15.0, B15.9, B16, B17.0, B17.1, B17.2, B17.8, B17.9, B18.0, B18.1, B18.2, B18.8, B18.9, B19, B25.1, K71.0, K71.10, K71.11, K71.2, K71.3, K71.4, K71.5, K71.6, K71.7, K71.8, K71.9, K73, K75.2, K75.3, K75.4, K75.89, K75.9, K76.4 —
[
  • 3,481 cases
  • , 14,911 controls
]
,
46.26 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012340 070, 571.4, 573.1, 573.2, 573.3,B15.0, B15.9, B16, B17.0, B17.1, B17.2, B17.8, B17.9, B18.0, B18.1, B18.2, B18.8, B18.9, B19, B25.1, K71.0, K71.10, K71.11, K71.2, K71.3, K71.4, K71.5, K71.6, K71.7, K71.8, K71.9, K73, K75.2, K75.3, K75.4, K75.89, K75.9, K76.4 —
[
  • 3,481 cases
  • , 14,911 controls
]
,
46.26 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012341 070, 571.4, 573.1, 573.2, 573.3,B15.0, B15.9, B16, B17.0, B17.1, B17.2, B17.8, B17.9, B18.0, B18.1, B18.2, B18.8, B18.9, B19, B25.1, K71.0, K71.10, K71.11, K71.2, K71.3, K71.4, K71.5, K71.6, K71.7, K71.8, K71.9, K73, K75.2, K75.3, K75.4, K75.89, K75.9, K76.4 —
[
  • 3,481 cases
  • , 14,911 controls
]
,
46.26 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012342 078.1, 079.4,A63.0, B07, B97.7 —
[
  • 339 cases
  • , 14,911 controls
]
,
45.03 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012343 078.1, 079.4,A63.0, B07, B97.7 —
[
  • 339 cases
  • , 14,911 controls
]
,
45.03 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS008447 — — 1,189 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS012344 078.1, 079.4,A63.0, B07, B97.7 —
[
  • 339 cases
  • , 14,911 controls
]
,
45.03 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS009345 — — 19,807 individuals — European UK (+ Ireland) UKB —
PSS012345 078.1, 079.4,A63.0, B07, B97.7 —
[
  • 339 cases
  • , 14,911 controls
]
,
45.03 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012346 078.1, 079.4,A63.0, B07, B97.7 —
[
  • 339 cases
  • , 14,911 controls
]
,
45.03 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012348 110.1,B35.1 —
[
  • 519 cases
  • , 18,156 controls
]
,
45.96 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012347 110.1,B35.1 —
[
  • 519 cases
  • , 18,156 controls
]
,
45.96 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012349 110.1,B35.1 —
[
  • 519 cases
  • , 18,156 controls
]
,
45.96 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012350 110.1,B35.1 —
[
  • 519 cases
  • , 18,156 controls
]
,
45.96 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012351 110.1,B35.1 —
[
  • 519 cases
  • , 18,156 controls
]
,
45.96 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012353 110.3, 110.5,B35.4, B35.5, B35.6 —
[
  • 224 cases
  • , 18,156 controls
]
,
45.83 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012352 110.3, 110.5,B35.4, B35.5, B35.6 —
[
  • 224 cases
  • , 18,156 controls
]
,
45.83 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012354 110.3, 110.5,B35.4, B35.5, B35.6 —
[
  • 224 cases
  • , 18,156 controls
]
,
45.83 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012355 110.3, 110.5,B35.4, B35.5, B35.6 —
[
  • 224 cases
  • , 18,156 controls
]
,
45.83 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012356 110.3, 110.5,B35.4, B35.5, B35.6 —
[
  • 224 cases
  • , 18,156 controls
]
,
45.83 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013363 599.0, V13.02,N39.0, Z87.440 —
[
  • 1,581 cases
  • , 16,692 controls
]
,
46.46 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS009119 — — 4,093 individuals — European Poland (NE Europe) UKB —
PSS011763 Very severe respiratory confirmed covid vs. not severe respiratory confirmed covid —
[
  • 724 cases
  • , 6,400 controls
]
 — European — Genotek —
PSS008227 — — 6,213 individuals — South Asian India (South Asia) UKB —
PSS013364 599.0, V13.02,N39.0, Z87.440 —
[
  • 1,581 cases
  • , 16,692 controls
]
,
46.46 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS004516 — —
[
  • 63 cases
  • , 6,434 controls
]
 — African unspecified — UKB —
PSS004517 — —
[
  • 38 cases
  • , 1,666 controls
]
 — East Asian — UKB —
PSS004518 — —
[
  • 690 cases
  • , 24,215 controls
]
 — European non-white British ancestry UKB —
PSS004519 — —
[
  • 148 cases
  • , 7,683 controls
]
 — South Asian — UKB —
PSS004520 — —
[
  • 2,222 cases
  • , 65,203 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS004521 — —
[
  • 81 cases
  • , 6,416 controls
]
 — African unspecified — UKB —
PSS004522 — —
[
  • 32 cases
  • , 1,672 controls
]
 — East Asian — UKB —
PSS004523 — —
[
  • 781 cases
  • , 24,124 controls
]
 — European non-white British ancestry UKB —
PSS004524 — —
[
  • 307 cases
  • , 7,524 controls
]
 — South Asian — UKB —
PSS004525 — —
[
  • 2,358 cases
  • , 65,067 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS013163 032.0, 032.1, 032.2, 032.3, 034.0, 460, 462, 464, 465,A36.0, A36.1, A36.2, J00, J02, J03.0, J04, J05.1, J06 —
[
  • 1,534 cases
  • , 17,126 controls
]
,
46.38 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013162 032.0, 032.1, 032.2, 032.3, 034.0, 460, 462, 464, 465,A36.0, A36.1, A36.2, J00, J02, J03.0, J04, J05.1, J06 —
[
  • 1,534 cases
  • , 17,126 controls
]
,
46.38 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013164 032.0, 032.1, 032.2, 032.3, 034.0, 460, 462, 464, 465,A36.0, A36.1, A36.2, J00, J02, J03.0, J04, J05.1, J06 —
[
  • 1,534 cases
  • , 17,126 controls
]
,
46.38 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013165 032.0, 032.1, 032.2, 032.3, 034.0, 460, 462, 464, 465,A36.0, A36.1, A36.2, J00, J02, J03.0, J04, J05.1, J06 —
[
  • 1,534 cases
  • , 17,126 controls
]
,
46.38 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013166 032.0, 032.1, 032.2, 032.3, 034.0, 460, 462, 464, 465,A36.0, A36.1, A36.2, J00, J02, J03.0, J04, J05.1, J06 —
[
  • 1,534 cases
  • , 17,126 controls
]
,
46.38 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013475 681,L02.51, L02.61, L03.0 —
[
  • 145 cases
  • , 17,825 controls
]
,
45.58 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013476 681,L02.51, L02.61, L03.0 —
[
  • 145 cases
  • , 17,825 controls
]
,
45.58 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013477 681,L02.51, L02.61, L03.0 —
[
  • 145 cases
  • , 17,825 controls
]
,
45.58 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS008896 — — 3,853 individuals — African unspecified Nigeria (West Africa) UKB —
PSS013478 681,L02.51, L02.61, L03.0 —
[
  • 145 cases
  • , 17,825 controls
]
,
45.58 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —