Trait: viral infectious disease

Trait Information
Identifier MONDO_0005108
Description Any disease caused by a virus. [NCIT: P378]
Trait category
Other trait
Synonyms 9 synonyms
  • Viruses caused disease or disorder
  • Viruses disease or disorder
  • Viruses infection
  • Viruses infectious disease
  • infection, viral
  • infections, Viruses
  • viral disease
  • viral disorder
  • viral infection
Child trait(s) 5 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 "viral 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)
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
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

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
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
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 —

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
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
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 —
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 —
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 —
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 —
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 —
PSS012344 078.1, 079.4,A63.0, B07, B97.7 —
[
  • 339 cases
  • , 14,911 controls
]
,
45.03 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
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 —
PSS011763 Very severe respiratory confirmed covid vs. not severe respiratory confirmed covid —
[
  • 724 cases
  • , 6,400 controls
]
 — European — Genotek —
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)