| 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. |
| 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) |
|---|---|---|---|---|---|---|
| PGS000810 (wGRS136_Allergy) |
PGP000195 | Ferreira MA et al. Nat Genet (2017) |
Allergic disease (asthma, hay fever or eczema) | allergic disease | 136 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000810/ScoringFiles/PGS000810.txt.gz |
|
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 | — | — |
|
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. |