Trait: infectious disease

Experimental Factor Ontology (EFO) Information
Identifier EFO_0005741
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 disease
Synonyms 11 synonyms
  • clinical infection
  • communicable disease
  • disease by infectious agent
  • disease by infectious agent
  • disorder due to infection
  • infection
  • infectious
  • infectious disease
  • infectious diseases and manifestations
  • infectious disorder
  • transmissible disease
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 "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

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 —

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
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)
PSS007792 — — 2,440 individuals — African American or Afro-Caribbean Carribean UKB —
PSS008447 — — 1,189 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS009345 — — 19,807 individuals — European UK (+ Ireland) UKB —
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 —
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)
PSS008896 — — 3,853 individuals — African unspecified Nigeria (West Africa) UKB —