Trait: dermatitis

Trait Information
Identifier MONDO_0002406
Description An inflammatory process affecting the skin. Signs include red rash, itching, and blister formation. Representative examples are contact dermatitis, atopic dermatitis, and seborrheic dermatitis. [NCIT: C2983]
Trait category
Other disease
Synonyms 6 synonyms
  • inflammation of skin
  • inflammation of the skin
  • inflammation of zone of skin
  • inflammatory skin disease
  • skin inflammation
  • zone of skin inflammation
Mapped terms 8 mapped terms
  • DOID:2723
  • EFO:1000636
  • ICD10:L30.9
  • ICD9:692.9
  • MESH:D003872
  • NCIT:C2983
  • SCTID:43116000
  • UMLS:C0011603
Child trait(s) 3 child traits

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "dermatitis" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000738
(CONFIRMED_PGS)
PGP000145 |
Roberts GHL et al. Am J Hum Genet (2019)
Vitiligo Vitiligo 48
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000738/ScoringFiles/PGS000738.txt.gz
PGS000760
(VIT)
PGP000164 |
Khan Z et al. Nat Commun (2021)
Vitiligo Vitiligo 42
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000760/ScoringFiles/PGS000760.txt.gz
PGS000927
(GBE_HC1158)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Other dermatitis (time-to-event) dermatitis 242
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000927/ScoringFiles/PGS000927.txt.gz
PGS000944
(GBE_HC261)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Eczema, dermatitis Eczema,
dermatitis
598
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000944/ScoringFiles/PGS000944.txt.gz
PGS001312
(GBE_HC38)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Psoriasis psoriasis 204
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001312/ScoringFiles/PGS001312.txt.gz
PGS001313
(GBE_HC1159)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Psoriasis (time-to-event) psoriasis 578
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001313/ScoringFiles/PGS001313.txt.gz
PGS001536
(GBE_HC1188)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Vitiligo (time-to-event) Vitiligo 77
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001536/ScoringFiles/PGS001536.txt.gz
PGS001773
(PRS_atopicDermatitis)
PGP000253 |
Simard M et al. J Allergy Clin Immunol (2020)
Moderate-to-severe atopic dermatitis atopic eczema 25
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001773/ScoringFiles/PGS001773.txt.gz

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
PPM001761 PGS000738
(CONFIRMED_PGS)
PSS000907|
European Ancestry|
4,008 individuals
PGP000145 |
Roberts GHL et al. Am J Hum Genet (2019)
Reported Trait: Vitiligo Odds Ratio (OR, top 20% vs remaining 80% of score distribution): 4.87 [4.21, 5.64]
PPM001762 PGS000738
(CONFIRMED_PGS)
PSS000907|
European Ancestry|
4,008 individuals
PGP000145 |
Roberts GHL et al. Am J Hum Genet (2019)
Reported Trait: Vitiligo Odds Ratio (OR, top 10% vs remaining 90% of score distribution): 5.26 [4.42, 6.29]
PPM001763 PGS000738
(CONFIRMED_PGS)
PSS000907|
European Ancestry|
4,008 individuals
PGP000145 |
Roberts GHL et al. Am J Hum Genet (2019)
Reported Trait: Vitiligo Odds Ratio (OR, top 10% vs remaining 95% of score distribution): 6.2 [4.96, 7.79]
PPM001764 PGS000738
(CONFIRMED_PGS)
PSS000907|
European Ancestry|
4,008 individuals
PGP000145 |
Roberts GHL et al. Am J Hum Genet (2019)
Reported Trait: Vitiligo Odds Ratio (OR, top 1% vs remaining 99% of score distribution): 8.79 [5.85, 13.78]
PPM001935 PGS000760
(VIT)
PSS000970|
European Ancestry|
1,584 individuals
PGP000164 |
Khan Z et al. Nat Commun (2021)
Reported Trait: anti-PD-L1 induced hypothyroidism in cancer patients HR: 1.41 [1.22, 1.61] meta-analysis p-value: 1.10e-06 5 genotype PCs
PPM007462 PGS000927
(GBE_HC1158)
PSS004153|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: TTE other dermatitis AUROC: 0.61027 [0.57953, 0.64101] : 0.02035
Incremental AUROC (full-covars): 0.00207
PGS R2 (no covariates): 0.00268
PGS AUROC (no covariates): 0.5378 [0.50673, 0.56886]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007463 PGS000927
(GBE_HC1158)
PSS004154|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: TTE other dermatitis AUROC: 0.57706 [0.52927, 0.62486] : 0.02951
Incremental AUROC (full-covars): 0.01147
PGS R2 (no covariates): 0.00458
PGS AUROC (no covariates): 0.5429 [0.49389, 0.59191]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007464 PGS000927
(GBE_HC1158)
PSS004155|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: TTE other dermatitis AUROC: 0.54587 [0.53304, 0.5587] : 0.00506
Incremental AUROC (full-covars): 0.01785
PGS R2 (no covariates): 0.00339
PGS AUROC (no covariates): 0.53939 [0.52639, 0.55239]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007465 PGS000927
(GBE_HC1158)
PSS004156|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: TTE other dermatitis AUROC: 0.58261 [0.56273, 0.60248] : 0.01573
Incremental AUROC (full-covars): 0.00482
PGS R2 (no covariates): 0.00187
PGS AUROC (no covariates): 0.52627 [0.50591, 0.54663]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007466 PGS000927
(GBE_HC1158)
PSS004157|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: TTE other dermatitis AUROC: 0.56752 [0.56014, 0.57491] : 0.01047
Incremental AUROC (full-covars): 0.01697
PGS R2 (no covariates): 0.00542
PGS AUROC (no covariates): 0.54889 [0.54154, 0.55624]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007546 PGS000944
(GBE_HC261)
PSS004384|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Eczema/dermatitis AUROC: 0.62856 [0.58377, 0.67334] : 0.02337
Incremental AUROC (full-covars): 0.00187
PGS R2 (no covariates): 0.00173
PGS AUROC (no covariates): 0.52778 [0.48039, 0.57516]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007547 PGS000944
(GBE_HC261)
PSS004385|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Eczema/dermatitis AUROC: 0.59588 [0.52553, 0.66622] : 0.02855
Incremental AUROC (full-covars): 0.02432
PGS R2 (no covariates): 0.0116
PGS AUROC (no covariates): 0.58664 [0.52213, 0.65115]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007548 PGS000944
(GBE_HC261)
PSS004386|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Eczema/dermatitis AUROC: 0.56459 [0.54541, 0.58377] : 0.00802
Incremental AUROC (full-covars): 0.01208
PGS R2 (no covariates): 0.00353
PGS AUROC (no covariates): 0.54597 [0.52632, 0.56561]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007549 PGS000944
(GBE_HC261)
PSS004387|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Eczema/dermatitis AUROC: 0.56106 [0.52439, 0.59773] : 0.00683
Incremental AUROC (full-covars): -0.0012
PGS R2 (no covariates): 0.00011
PGS AUROC (no covariates): 0.51686 [0.48122, 0.5525]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007550 PGS000944
(GBE_HC261)
PSS004388|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Eczema/dermatitis AUROC: 0.57099 [0.55943, 0.58256] : 0.00884
Incremental AUROC (full-covars): 0.02521
PGS R2 (no covariates): 0.00527
PGS AUROC (no covariates): 0.5556 [0.54396, 0.56724]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009053 PGS001312
(GBE_HC38)
PSS004471|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Psoriasis AUROC: 0.73107 [0.60624, 0.85591] : 0.06593
Incremental AUROC (full-covars): 0.0282
PGS R2 (no covariates): 0.01927
PGS AUROC (no covariates): 0.62557 [0.48848, 0.76266]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009054 PGS001312
(GBE_HC38)
PSS004472|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Psoriasis AUROC: 0.88867 [0.80531, 0.97202] : 0.24575
Incremental AUROC (full-covars): 0.01187
PGS R2 (no covariates): 0.00399
PGS AUROC (no covariates): 0.57774 [0.40533, 0.75016]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009055 PGS001312
(GBE_HC38)
PSS004473|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Psoriasis AUROC: 0.68424 [0.65757, 0.71091] : 0.05057
Incremental AUROC (full-covars): 0.0981
PGS R2 (no covariates): 0.04137
PGS AUROC (no covariates): 0.66409 [0.63596, 0.69222]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009056 PGS001312
(GBE_HC38)
PSS004474|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Psoriasis AUROC: 0.6849 [0.63397, 0.73584] : 0.0448
Incremental AUROC (full-covars): 0.052
PGS R2 (no covariates): 0.02087
PGS AUROC (no covariates): 0.64825 [0.59861, 0.6979]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009057 PGS001312
(GBE_HC38)
PSS004475|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Psoriasis AUROC: 0.69754 [0.68165, 0.71343] : 0.05574
Incremental AUROC (full-covars): 0.14505
PGS R2 (no covariates): 0.05226
PGS AUROC (no covariates): 0.69158 [0.6754, 0.70775]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009058 PGS001313
(GBE_HC1159)
PSS004158|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: TTE psoriasis AUROC: 0.69906 [0.60273, 0.7954] : 0.04185
Incremental AUROC (full-covars): 0.01899
PGS R2 (no covariates): 0.00732
PGS AUROC (no covariates): 0.62223 [0.54291, 0.70154]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009059 PGS001313
(GBE_HC1159)
PSS004159|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: TTE psoriasis AUROC: 0.72306 [0.61623, 0.82989] : 0.09162
Incremental AUROC (full-covars): 0.00222
PGS R2 (no covariates): 0.00378
PGS AUROC (no covariates): 0.48492 [0.37014, 0.5997]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009060 PGS001313
(GBE_HC1159)
PSS004160|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: TTE psoriasis AUROC: 0.66545 [0.64532, 0.68558] : 0.04468
Incremental AUROC (full-covars): 0.07449
PGS R2 (no covariates): 0.0337
PGS AUROC (no covariates): 0.64565 [0.62471, 0.66658]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009061 PGS001313
(GBE_HC1159)
PSS004161|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: TTE psoriasis AUROC: 0.63418 [0.59417, 0.67419] : 0.0236
Incremental AUROC (full-covars): 0.05154
PGS R2 (no covariates): 0.0123
PGS AUROC (no covariates): 0.60455 [0.56482, 0.64428]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009062 PGS001313
(GBE_HC1159)
PSS004162|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: TTE psoriasis AUROC: 0.67543 [0.66285, 0.68801] : 0.05117
Incremental AUROC (full-covars): 0.13853
PGS R2 (no covariates): 0.04966
PGS AUROC (no covariates): 0.6729 [0.66027, 0.68553]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005215 PGS001536
(GBE_HC1188)
PSS004173|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: TTE vitiligo AUROC: 0.63509 [0.52563, 0.74454] : 0.01654
Incremental AUROC (full-covars): -0.00281
PGS R2 (no covariates): 0.0
PGS AUROC (no covariates): 0.51169 [0.39527, 0.62811]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005216 PGS001536
(GBE_HC1188)
PSS004174|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: TTE vitiligo AUROC: 0.82774 [0.75298, 0.90249] : 0.08055
Incremental AUROC (full-covars): 0.01924
PGS R2 (no covariates): 0.00431
PGS AUROC (no covariates): 0.57823 [0.37976, 0.7767]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005217 PGS001536
(GBE_HC1188)
PSS004175|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: TTE vitiligo AUROC: 0.6991 [0.61917, 0.77902] : 0.03993
Incremental AUROC (full-covars): 0.01341
PGS R2 (no covariates): 0.00254
PGS AUROC (no covariates): 0.55625 [0.47549, 0.63701]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005218 PGS001536
(GBE_HC1188)
PSS004176|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: TTE vitiligo AUROC: 0.64566 [0.58746, 0.70386] : 0.02575
Incremental AUROC (full-covars): 0.0309
PGS R2 (no covariates): 0.01048
PGS AUROC (no covariates): 0.60302 [0.5391, 0.66694]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005219 PGS001536
(GBE_HC1188)
PSS004177|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: TTE vitiligo AUROC: 0.63449 [0.58754, 0.68144] : 0.01686
Incremental AUROC (full-covars): 0.08163
PGS R2 (no covariates): 0.01621
PGS AUROC (no covariates): 0.64193 [0.59907, 0.68478]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009229 PGS001773
(PRS_atopicDermatitis)
PSS007661|
Multi-ancestry (including European)|
676 individuals
PGP000253 |
Simard M et al. J Allergy Clin Immunol (2020)
Reported Trait: Moderate-to-severe aotpic dermatitis AUROC: 0.93 : 0.49 Age, sex, father's ethnicity, mother ethnicity Nagelkerke's R^2, only unrelated individuals were considered in the analyses
PPM009230 PGS001773
(PRS_atopicDermatitis)
PSS007661|
Multi-ancestry (including European)|
676 individuals
PGP000253 |
Simard M et al. J Allergy Clin Immunol (2020)
Reported Trait: Food allergy AUROC: 0.75 Age, sex, father's ethnicity, mother ethnicity Only unrelated individuals were considered in the analyses
PPM009231 PGS001773
(PRS_atopicDermatitis)
PSS007661|
Multi-ancestry (including European)|
676 individuals
PGP000253 |
Simard M et al. J Allergy Clin Immunol (2020)
Reported Trait: Allergic asthma AUROC: 0.75 Age, sex, father's ethnicity, mother ethnicity Only unrelated individuals were considered in the analyses
PPM009232 PGS001773
(PRS_atopicDermatitis)
PSS007661|
Multi-ancestry (including European)|
676 individuals
PGP000253 |
Simard M et al. J Allergy Clin Immunol (2020)
Reported Trait: Allergic rhinitis AUROC: 0.77 Age, sex, father's ethnicity, mother ethnicity Only unrelated individuals were considered in the analyses

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
PSS004156
[
  • 850 cases
  • , 6,981 controls
]
South Asian UKB
PSS004157
[
  • 6,461 cases
  • , 60,964 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004158
[
  • 32 cases
  • , 6,465 controls
]
African unspecified UKB
PSS004159
[
  • 22 cases
  • , 1,682 controls
]
East Asian UKB
PSS004160
[
  • 723 cases
  • , 24,182 controls
]
European non-white British ancestry UKB
PSS004161
[
  • 186 cases
  • , 7,645 controls
]
South Asian UKB
PSS004162
[
  • 1,956 cases
  • , 65,469 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004173
[
  • 17 cases
  • , 6,480 controls
]
African unspecified UKB
PSS004174
[
  • 6 cases
  • , 1,698 controls
]
East Asian UKB
PSS004175
[
  • 45 cases
  • , 24,860 controls
]
European non-white British ancestry UKB
PSS004176
[
  • 71 cases
  • , 7,760 controls
]
South Asian UKB
PSS004177
[
  • 131 cases
  • , 67,294 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS000907 Cases are individuals with vitiligo. Diagnoses of vitiligo in multiplex-affected subjects and reportedly unaffected family members were verified by manual review of all available phenotype information for each subject.
[
  • 1,827 cases
  • , 2,181 controls
]
European NR
PSS007661 For the CHILD Cohort Study, atopic dermatitis (AD) was from physician diagnosis at the one year follow-up. AD severity was defined as mild if there is a single site or no more than 2 sites, minor symptoms (little itching/rubbing), minor crusting and papules, not excoriated or oozing, not needing frequent medical attention; was defined as moderate if symptoms are neither mild nor severe or; was defined as severe if there are multiple sites, with extensive crusting or papules or excoriations or oozing or lichenification, sleep loss, needing frequent medical attention, and is a major concern to parents. In the SLSJ Cohort, atopic dermatitis was self-reported and considered as positive if past or present occurrence was reported. For children, cross validation was done using questionnaires filled by their parents. Moreover, validation in medical records of these self-reported phenotypes were done for a subset of the SLSJ Cohort (n = 217), giving 89% concordance.
[
  • 61 cases
  • , 615 controls
]
,
42.0 % Male samples
Mean = 9.0 years
Range = [0.0, 87.0] years
European, South East Asian, East Asian, South Asian, African American or Afro-Caribbean, Native American, Greater Middle Eastern (Middle Eastern, North African or Persian), Hispanic or Latin American, Not reported CHILD, SLSJ Also used to evaluate the PRS_atopicDermatitis for other diseases of the atopic march: food allergy, allergic asthma and rhinitis. Only unrelated individuals were selected for analyses.
PSS004471
[
  • 19 cases
  • , 6,478 controls
]
African unspecified UKB
PSS004472
[
  • 10 cases
  • , 1,694 controls
]
East Asian UKB
PSS004473
[
  • 416 cases
  • , 24,489 controls
]
European non-white British ancestry UKB
PSS004474
[
  • 108 cases
  • , 7,723 controls
]
South Asian UKB
PSS004475
[
  • 1,146 cases
  • , 66,279 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS000970 Median = 400.0 days 1,584 individuals European GNEHGI2020Q2
PSS004384
[
  • 157 cases
  • , 6,340 controls
]
African unspecified UKB
PSS004385
[
  • 66 cases
  • , 1,638 controls
]
East Asian UKB
PSS004386
[
  • 873 cases
  • , 24,032 controls
]
European non-white British ancestry UKB
PSS004387
[
  • 243 cases
  • , 7,588 controls
]
South Asian UKB
PSS004388
[
  • 2,514 cases
  • , 64,911 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004153
[
  • 343 cases
  • , 6,154 controls
]
African unspecified UKB
PSS004154
[
  • 143 cases
  • , 1,561 controls
]
East Asian UKB
PSS004155
[
  • 2,053 cases
  • , 22,852 controls
]
European non-white British ancestry UKB