PGS Publication: PGP000199

Publication Information (EuropePMC)
Title Age-of-onset information helps identify 76 genetic variants associated with allergic disease.
PubMed ID 32603359(Europe PMC)
doi 10.1371/journal.pgen.1008725
Publication Date June 30, 2020
Journal PLoS Genet
Author(s) Ferreira MAR, Vonk JM, Baurecht H, Marenholz I, Tian C, Hoffman JD, Helmer Q, Tillander A, Ullemar V, Lu Y, Grosche S, Rüschendorf F, Granell R, Brumpton BM, Fritsche LG, Bhatta L, Gabrielsen ME, Nielsen JB, Zhou W, Hveem K, Langhammer A, Holmen OL, Løset M, Abecasis GR, Willer CJ, Emami NC, Cavazos TB, Witte JS, Szwajda A, 23andMe Research Team, collaborators of the SHARE study, Hinds DA, Hübner N, Weidinger S, Magnusson PK, Jorgenson E, Karlsson R, Paternoster L, Boomsma DI, Almqvist C, Lee YA, Koppelman GH.
Released in PGS Catalog: July 2, 2021

Associated Polygenic Score(s)

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Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
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Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported

External PGS Evaluated By This Publication

Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000810
(wGRS136_Allergy)
PGP000195 |
Ferreira MA et al. Nat Genet (2017)
Allergic disease (asthma, hay fever or eczema) allergy 136
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000810/ScoringFiles/PGS000810.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
PPM002160 PGS000810
(wGRS136_Allergy)
PSS001055|
European Ancestry|
22,029 individuals
PGP000199 |
Ferreira MAR et al. PLoS Genet (2020)
|Ext.
Reported Trait: Asthma age of onset Percent (%) of cases with asthma prior to age 16 (bottom 10% of GRS): 14.0
PPM002161 PGS000810
(wGRS136_Allergy)
PSS001055|
European Ancestry|
22,029 individuals
PGP000199 |
Ferreira MAR et al. PLoS Genet (2020)
|Ext.
Reported Trait: Asthma age of onset Percent (%) of cases with asthma prior to age 16 (top 10% of GRS): 35.0
PPM002162 PGS000810
(wGRS136_Allergy)
PSS001055|
European Ancestry|
22,029 individuals
PGP000199 |
Ferreira MAR et al. PLoS Genet (2020)
|Ext.
Reported Trait: Asthma age of onset Median age of asthma onset in years (bottom 10% of GRS): 42.0
PPM002163 PGS000810
(wGRS136_Allergy)
PSS001055|
European Ancestry|
22,029 individuals
PGP000199 |
Ferreira MAR et al. PLoS Genet (2020)
|Ext.
Reported Trait: Asthma age of onset Median age of asthma onset in years (top 10% of GRS): 30.0
PPM002164 PGS000810
(wGRS136_Allergy)
PSS001057|
European Ancestry|
14,474 individuals
PGP000199 |
Ferreira MAR et al. PLoS Genet (2020)
|Ext.
Reported Trait: Hay fever age of onset Median age of onset in years (bottom 10% of GRS): 25.0
PPM002165 PGS000810
(wGRS136_Allergy)
PSS001057|
European Ancestry|
14,474 individuals
PGP000199 |
Ferreira MAR et al. PLoS Genet (2020)
|Ext.
Reported Trait: Hay fever age of onset Median age of onset in years (top 10% of GRS): 18.0
PPM002166 PGS000810
(wGRS136_Allergy)
PSS001056|
European Ancestry|
3,969 individuals
PGP000199 |
Ferreira MAR et al. PLoS Genet (2020)
|Ext.
Reported Trait: Eczema age of onset Median age of onset in years (bottom 10% of GRS): 30.0
PPM002167 PGS000810
(wGRS136_Allergy)
PSS001056|
European Ancestry|
3,969 individuals
PGP000199 |
Ferreira MAR et al. PLoS Genet (2020)
|Ext.
Reported Trait: Eczema age of onset Median age of onset in years (top 10% of GRS): 23.0

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
PSS001057 All individuals suffered from hay fever and no other allergic diseases. All individuals were identified from a questionnaire. To identify individuals who reported suffering specifically from hay fever, information reported in the verbal interview (field 20002) and ICD10 codes (fields 41202 and 41204) were considered, as described for asthma 14,474 individuals,
49.0 % Male samples
Mean = 55.1 years
Range = [40.0, 70.0] years
European UKB Possible sample overlap of up to 100% between this dataset and the dataset used to source wGRS136_Allergy.
PSS001055 All individuals suffered from asthma and no other allergic diseases. All individuals were identified from a questionnaire. Asthmatic individuals were those with (i) both a report of “Asthma” in field 6152 of questionnaire (self-reported medical conditions, specifically the question “Has a doctor ever told you that you have had any of the following conditions?”) and a code for asthma in field 20002 (verbal interview), or alternatively, an ICD10 code for asthma in fields 41202 (Diagnoses–main ICD10) or 41204 (Diagnoses–secondary ICD10); and (ii) no report of COPD in fields 6152 or 20002, nor of other respiratory diseases in field 20002. 22,029 individuals,
45.0 % Male samples
Mean = 56.6 years
Range = [38.0, 70.0] years
European UKB Possible sample overlap of up to 100% between this dataset and the dataset used to source wGRS136_Allergy.
PSS001056 All individuals suffered from eczema and no other allergic diseases. All individuals were identified from a questionnaire. The exact same approach (i.e. information from fields 20002, 41202 and 41204) was used to identify eczema cases. 3,969 individuals,
43.0 % Male samples
Mean = 55.4 years
Range = [40.0, 70.0] years
European UKB Possible sample overlap of up to 100% between this dataset and the dataset used to source wGRS136_Allergy.