Trait: number of non-cancer illnesses, self-reported

Experimental Factor Ontology (EFO) Information
Identifier EFO_0009801
Description Number of non-cancer illness occurrences in an individual, as reported by the individual.
Trait category
Other trait

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
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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)
PGS001004
(GBE_INI135)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Number of non-cancer illnessesnumber of non-cancer illnesses, self-reported5,212
-
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001004/ScoringFiles/PGS001004.txt.gz
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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.

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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
PPM007783PGS001004
(GBE_INI135)
PSS004831|
African Ancestry|
6,483 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: # of self-reported non-cancer illnesses——R²: 0.09535 [0.08177, 0.10893]
Incremental R2 (full-covars): -0.00187
PGS R2 (no covariates): 0.00097 [-0.00054, 0.00248]		age, sex, UKB array type, Genotype PCs—
PPM007784PGS001004
(GBE_INI135)
PSS004832|
East Asian Ancestry|
1,702 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: # of self-reported non-cancer illnesses——R²: 0.07817 [0.05374, 0.10259]
Incremental R2 (full-covars): -0.00278
PGS R2 (no covariates): 0.0019 [-0.00222, 0.00603]		age, sex, UKB array type, Genotype PCs—
PPM007785PGS001004
(GBE_INI135)
PSS004833|
European Ancestry|
24,894 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: # of self-reported non-cancer illnesses——R²: 0.06738 [0.06137, 0.0734]
Incremental R2 (full-covars): 0.0094
PGS R2 (no covariates): 0.00928 [0.00691, 0.01165]		age, sex, UKB array type, Genotype PCs—
PPM007786PGS001004
(GBE_INI135)
PSS004834|
South Asian Ancestry|
7,812 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: # of self-reported non-cancer illnesses——R²: 0.10855 [0.09555, 0.12155]
Incremental R2 (full-covars): 0.00434
PGS R2 (no covariates): 0.00427 [0.00139, 0.00715]		age, sex, UKB array type, Genotype PCs—
PPM007787PGS001004
(GBE_INI135)
PSS004835|
European Ancestry|
67,419 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: # of self-reported non-cancer illnesses——R²: 0.06288 [0.05934, 0.06643]
Incremental R2 (full-covars): 0.01064
PGS R2 (no covariates): 0.01063 [0.00909, 0.01217]		age, sex, UKB array type, Genotype PCs—
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Evaluated Samples

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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
PSS004831——6,483 individuals—African unspecified—UKB—
PSS004832——1,702 individuals—East Asian—UKB—
PSS004833——24,894 individuals—Europeannon-white British ancestryUKB—
PSS004834——7,812 individuals—South Asian—UKB—
PSS004835——67,419 individuals—Europeanwhite British ancestryUKBTesting cohort (heldout set)
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