Trait: peak expiratory flow

Experimental Factor Ontology (EFO) Information
Identifier EFO_0009718
Description
  • The maximum rate of gas flow, beginning at the point of peak inspiratory capacity, that can be sustained during forced exhalation for a defined period of time.
  • The maximum rate of gas flow, beginning at the point of peak inspiratory capacity, that can be sustained during forced exhalation for a defined period of time. This test is most often used in combination with other studies of lung function to diagnose and monitor obstructive and restrictive lung disease(s). [ NCI ]
Trait category
Other measurement
Synonym PEF
Mapped terms 2 mapped terms
  • NCIt:C41372
  • PMID:30804560

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
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)
PGS001009
(GBE_INI3064)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
PEF peak expiratory flow 9,523
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001009/ScoringFiles/PGS001009.txt.gz
PGS001010
(GBE_INI1003064)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
PEF pred. ratio peak expiratory flow 15,135
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001010/ScoringFiles/PGS001010.txt.gz
PGS004434
(X3064.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Peak expiratory flow (PEF) peak expiratory flow 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004434/ScoringFiles/PGS004434.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
PPM007808 PGS001009
(GBE_INI3064)
PSS007101|
African Ancestry|
5,865 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: PEF : 0.22035 [0.20256, 0.23814]
Incremental R2 (full-covars): 0.00018
PGS R2 (no covariates): 0.00203 [-0.00015, 0.00422]
age, sex, UKB array type, Genotype PCs
PPM007809 PGS001009
(GBE_INI3064)
PSS007102|
East Asian Ancestry|
1,590 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: PEF : 0.30722 [0.27083, 0.34361]
Incremental R2 (full-covars): -0.00018
PGS R2 (no covariates): 0.00498 [-0.00167, 0.01163]
age, sex, UKB array type, Genotype PCs
PPM007810 PGS001009
(GBE_INI3064)
PSS007103|
European Ancestry|
22,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: PEF Incremental R2 (full-covars): 0.01492
PGS R2 (no covariates): 0.01342 [0.01058, 0.01626]
: 0.36549 [0.35597, 0.37502]
age, sex, UKB array type, Genotype PCs
PPM007811 PGS001009
(GBE_INI3064)
PSS007104|
South Asian Ancestry|
7,147 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: PEF : 0.28496 [0.26806, 0.30186]
Incremental R2 (full-covars): 0.00596
PGS R2 (no covariates): 0.00838 [0.00436, 0.01239]
age, sex, UKB array type, Genotype PCs
PPM007812 PGS001009
(GBE_INI3064)
PSS007105|
European Ancestry|
62,090 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: PEF : 0.37763 [0.37186, 0.38341]
Incremental R2 (full-covars): 0.01833
PGS R2 (no covariates): 0.01842 [0.01641, 0.02043]
age, sex, UKB array type, Genotype PCs
PPM007813 PGS001010
(GBE_INI1003064)
PSS004776|
African Ancestry|
5,852 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: PEF pred. ratio : 0.01124 [0.00614, 0.01633]
Incremental R2 (full-covars): -0.0041
PGS R2 (no covariates): 0.00217 [-0.00009, 0.00443]
age, sex, UKB array type, Genotype PCs
PPM007814 PGS001010
(GBE_INI1003064)
PSS004777|
East Asian Ancestry|
1,587 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: PEF pred. ratio : 0.04374 [0.02479, 0.06269]
Incremental R2 (full-covars): 0.02108
PGS R2 (no covariates): 0.02152 [0.00792, 0.03513]
age, sex, UKB array type, Genotype PCs
PPM007815 PGS001010
(GBE_INI1003064)
PSS004778|
European Ancestry|
22,763 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: PEF pred. ratio : 0.09646 [0.08949, 0.10343]
Incremental R2 (full-covars): 0.04766
PGS R2 (no covariates): 0.05063 [0.04532, 0.05593]
age, sex, UKB array type, Genotype PCs
PPM007816 PGS001010
(GBE_INI1003064)
PSS004779|
South Asian Ancestry|
7,136 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: PEF pred. ratio : 0.04323 [0.03442, 0.05204]
Incremental R2 (full-covars): 0.0161
PGS R2 (no covariates): 0.01839 [0.01249, 0.02428]
age, sex, UKB array type, Genotype PCs
PPM007817 PGS001010
(GBE_INI1003064)
PSS004780|
European Ancestry|
61,887 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: PEF pred. ratio : 0.11466 [0.11013, 0.11918]
Incremental R2 (full-covars): 0.05769
PGS R2 (no covariates): 0.06034 [0.05685, 0.06382]
age, sex, UKB array type, Genotype PCs
PPM020549 PGS004434
(X3064.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: Peak expiratory flow (PEF) PGS R2 (no covariates): 0.12499

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
PSS007101 5,865 individuals African unspecified UKB
PSS007102 1,590 individuals East Asian UKB
PSS007103 22,831 individuals European non-white British ancestry UKB
PSS007104 7,147 individuals South Asian UKB
PSS007105 62,090 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS004776 5,852 individuals African unspecified UKB
PSS004777 1,587 individuals East Asian UKB
PSS004778 22,763 individuals European non-white British ancestry UKB
PSS004779 7,136 individuals South Asian UKB
PSS004780 61,887 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS011364 56,192 individuals European UKB