Trait: forced expiratory volume

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004314
Description Measure of the maximum amount of air that can be expelled in a given number of seconds during a FORCED VITAL CAPACITY determination . It is usually given as FEV followed by a subscript indicating the number of seconds over which the measurement is made, although it is sometimes given as a percentage of forced vital capacity.
Trait category
Other measurement
Synonyms 3 synonyms
  • FEV1
  • FEVt
  • timed vital capacity
Mapped terms 3 mapped terms
  • MeSH:D005541
  • MedDRA:10016984
  • NCIt:C120933

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)
PGS001236
(GBE_INI3063)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Lung function (FEV1) forced expiratory volume 17,732
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001236/ScoringFiles/PGS001236.txt.gz
PGS001800
(PRS_FEV1)
 PGP000264 |
Moll M et al. Lancet Respir Med (2020)
 Forced expiratory volume (FEV1) forced expiratory volume 1,713,430
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001800/ScoringFiles/PGS001800.txt.gz
PGS001918
(portability-PLR_FEV1)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Forced expiratory volume in 1-second (FEV1), Best measure forced expiratory volume 79,136
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001918/ScoringFiles/PGS001918.txt.gz
PGS002134
(portability-ldpred2_FEV1)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Forced expiratory volume in 1-second (FEV1), Best measure forced expiratory volume 940,003
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002134/ScoringFiles/PGS002134.txt.gz
PGS004433
(X3063.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Forced expiratory volume in 1-second (FEV1) forced expiratory volume 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004433/ScoringFiles/PGS004433.txt.gz
PGS004435
(X20150.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Forced expiratory volume in 1-second (FEV1), Best measure forced expiratory volume 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004435/ScoringFiles/PGS004435.txt.gz
PGS004437
(X20153.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Forced expiratory volume in 1-second (FEV1), predicted forced expiratory volume 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004437/ScoringFiles/PGS004437.txt.gz
PGS004438
(X20154.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Forced expiratory volume in 1-second (FEV1), predicted percentage forced expiratory volume 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004438/ScoringFiles/PGS004438.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
PPM008689 PGS001236
(GBE_INI3063)
 PSS007091|
African Ancestry|
5,865 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: FEV1 — — R²: 0.37563 [0.35703, 0.39423]
Incremental R2 (full-covars): -0.00395
PGS R2 (no covariates): 0.00371 [0.00076, 0.00666]		 age, sex, UKB array type, Genotype PCs —
PPM008690 PGS001236
(GBE_INI3063)
 PSS007092|
East Asian Ancestry|
1,590 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: FEV1 — — R²: 0.48044 [0.44632, 0.51457]
Incremental R2 (full-covars): 0.01654
PGS R2 (no covariates): 0.03258 [0.01603, 0.04912]		 age, sex, UKB array type, Genotype PCs —
PPM008691 PGS001236
(GBE_INI3063)
 PSS007093|
European Ancestry|
22,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: FEV1 — — R²: 0.5167 [0.50807, 0.52533]
Incremental R2 (full-covars): 0.0401
PGS R2 (no covariates): 0.04225 [0.03736, 0.04714]		 age, sex, UKB array type, Genotype PCs —
PPM008692 PGS001236
(GBE_INI3063)
 PSS007094|
South Asian Ancestry|
7,147 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: FEV1 — — R²: 0.46546 [0.44931, 0.4816]
Incremental R2 (full-covars): 0.01517
PGS R2 (no covariates): 0.0239 [0.01722, 0.03059]		 age, sex, UKB array type, Genotype PCs —
PPM008693 PGS001236
(GBE_INI3063)
 PSS007095|
European Ancestry|
62,090 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: FEV1 — — R²: 0.51484 [0.50958, 0.52009]
Incremental R2 (full-covars): 0.04356
PGS R2 (no covariates): 0.04413 [0.0411, 0.04716]		 age, sex, UKB array type, Genotype PCs —
PPM009319 PGS001800
(PRS_FEV1)
 PSS007723|
Multi-ancestry (excluding European)|
7,122 individuals
 PGP000264 |
Moll M et al. Lancet Respir Med (2020)
 Reported Trait: Chronic obstructive pulmonary disease (moderate-to-severe) — — Odds Ratio of Combined PRS (OR): 1.42 [1.34, 1.51) Age, sex, height, smoking pack-years, PCs of genetic ancestry, study clinic, PRS_Ratio NOTE: A combined PRS is used to account for both PRS. The combined score can be derived using code from: http://www.copdconsortium.org/polygenic-risk-score
PPM009316 PGS001800
(PRS_FEV1)
 PSS007721|
European Ancestry|
5,175 individuals
 PGP000264 |
Moll M et al. Lancet Respir Med (2020)
 Reported Trait: GOLD spirometry grades — — Association (p-value): 4.54e-43 — —
PPM009318 PGS001800
(PRS_FEV1)
 PSS007722|
European Ancestry|
19,229 individuals
 PGP000264 |
Moll M et al. Lancet Respir Med (2020)
 Reported Trait: Chronic obstructive pulmonary disease (moderate-to-severe) — — Odds Ratio of Combined PRS (OR): 1.81 [1.74, 1.88] Age, sex, height, smoking pack-years, PCs of genetic ancestry, study clinic, PRS_Ratio NOTE: A combined PRS is used to account for both PRS. The combined score can be derived using code from: http://www.copdconsortium.org/polygenic-risk-score
PPM015563 PGS001800
(PRS_FEV1)
 PSS009985|
European Ancestry|
6,647 individuals
 PGP000385 |
Zhang J et al. Eur Respir J (2022)
|Ext.		 Reported Trait: Incident chronic obstructive pulmonary disease before age 50 years OR: 1.55 [1.41, 1.71] AUROC: 0.739 [0.718, 0.761] — PGS001801, early-life risk factors, principal components of genetic ancestry NOTE: A combined PRS is used to account for both PRS. The combined score can be derived using code from: http://www.copdconsortium.org/polygenic-risk-scor
PPM015564 PGS001800
(PRS_FEV1)
 PSS009983|
African Ancestry|
2,464 individuals
 PGP000385 |
Zhang J et al. Eur Respir J (2022)
|Ext.		 Reported Trait: Incident chronic obstructive pulmonary disease before age 50 years OR: 1.23 [1.05, 1.43] AUROC: 0.635 [0.595, 0.675] — PGS001801, early-life risk factors, principal components of genetic ancestry NOTE: A combined PRS is used to account for both PRS. The combined score can be derived using code from: http://www.copdconsortium.org/polygenic-risk-scor
PPM015565 PGS001800
(PRS_FEV1)
 PSS009984|
European Ancestry|
6,812 individuals
 PGP000385 |
Zhang J et al. Eur Respir J (2022)
|Ext.		 Reported Trait: Incident chronic obstructive pulmonary disease before age 50 years OR: 2.47 [2.12, 2.88] — — PGS001801, early-life risk factors, principal components of genetic ancestry NOTE: A combined PRS is used to account for both PRS. The combined score can be derived using code from: http://www.copdconsortium.org/polygenic-risk-scor
PPM010228 PGS001918
(portability-PLR_FEV1)
 PSS009143|
European Ancestry|
2,907 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Forced expiratory volume in 1-second (FEV1), Best measure — — Partial Correlation (partial-r): 0.2917 [0.2579, 0.3247] sex, age, birth date, deprivation index, 16 PCs —
PPM010229 PGS001918
(portability-PLR_FEV1)
 PSS008697|
European Ancestry|
4,520 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Forced expiratory volume in 1-second (FEV1), Best measure — — Partial Correlation (partial-r): 0.2873 [0.2603, 0.3139] sex, age, birth date, deprivation index, 16 PCs —
PPM010230 PGS001918
(portability-PLR_FEV1)
 PSS008471|
Greater Middle Eastern Ancestry|
163 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Forced expiratory volume in 1-second (FEV1), Best measure — — Partial Correlation (partial-r): 0.3457 [0.1925, 0.4825] sex, age, birth date, deprivation index, 16 PCs —
PPM010227 PGS001918
(portability-PLR_FEV1)
 PSS009369|
European Ancestry|
15,118 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Forced expiratory volume in 1-second (FEV1), Best measure — — Partial Correlation (partial-r): 0.3319 [0.3176, 0.346] sex, age, birth date, deprivation index, 16 PCs —
PPM011927 PGS002134
(portability-ldpred2_FEV1)
 PSS009369|
European Ancestry|
15,118 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Forced expiratory volume in 1-second (FEV1), Best measure — — Partial Correlation (partial-r): 0.328 [0.3137, 0.3422] sex, age, birth date, deprivation index, 16 PCs —
PPM011928 PGS002134
(portability-ldpred2_FEV1)
 PSS009143|
European Ancestry|
2,907 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Forced expiratory volume in 1-second (FEV1), Best measure — — Partial Correlation (partial-r): 0.2917 [0.258, 0.3247] sex, age, birth date, deprivation index, 16 PCs —
PPM011929 PGS002134
(portability-ldpred2_FEV1)
 PSS008697|
European Ancestry|
4,520 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Forced expiratory volume in 1-second (FEV1), Best measure — — Partial Correlation (partial-r): 0.2929 [0.266, 0.3194] sex, age, birth date, deprivation index, 16 PCs —
PPM011930 PGS002134
(portability-ldpred2_FEV1)
 PSS008471|
Greater Middle Eastern Ancestry|
163 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Forced expiratory volume in 1-second (FEV1), Best measure — — Partial Correlation (partial-r): 0.3187 [0.1631, 0.4588] sex, age, birth date, deprivation index, 16 PCs —
PPM020548 PGS004433
(X3063.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: Forced expiratory volume in 1-second (FEV1) — — PGS R2 (no covariates): 0.1804 — —
PPM020550 PGS004435
(X20150.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: Forced expiratory volume in 1-second (FEV1), Best measure — — PGS R2 (no covariates): 0.17694 — —
PPM020552 PGS004437
(X20153.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: Forced expiratory volume in 1-second (FEV1), predicted — — PGS R2 (no covariates): 0.16138 — —
PPM020553 PGS004438
(X20154.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: Forced expiratory volume in 1-second (FEV1), predicted percentage — — PGS R2 (no covariates): 0.22965 — —

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
PSS011364 — — 56,192 individuals — European — UKB —
PSS008697 — — 4,520 individuals — European Italy (South Europe) UKB —
PSS008471 — — 163 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS009369 — — 15,118 individuals — European UK (+ Ireland) UKB —
PSS007721 — — 5,175 individuals,
52.27 % Male samples
 — European — COPDGene —
PSS007722 — —
[
  • 3,065 cases
  • , 2,110 controls
]
,
52.27 % Male samples
 — European — COPDGene Fixed-effects meta-analysis
PSS007722 — —
[
  • 609 cases
  • , 1,480 controls
]
,
36.19 % Male samples
 — European — CHS Fixed-effects meta-analysis
PSS007722 — —
[
  • 1,713 cases
  • , 147 controls
]
,
66.34 % Male samples
 — European — ECLIPSE Fixed-effects meta-analysis
PSS007722 — —
[
  • 1,809 cases
  • , 946 controls
]
,
63.74 % Male samples
 — European — LHS Fixed-effects meta-analysis
PSS007722 — —
[
  • 208 cases
  • , 948 controls
]
,
47.66 % Male samples
 — European — MESA Fixed-effects meta-analysis
PSS007722 — —
[
  • 371 cases
  • , 429 controls
]
,
83.12 % Male samples
 — European — NAS, NETT Fixed-effects meta-analysis
PSS007722 — —
[
  • 127 cases
  • , 911 controls
]
,
42.87 % Male samples
 — European — RS Fixed-effects meta-analysis
PSS007722 — —
[
  • 96 cases
  • , 867 controls
]
,
46.73 % Male samples
 — European — RS Fixed-effects meta-analysis
PSS007722 — —
[
  • 131 cases
  • , 1,737 controls
]
,
43.36 % Male samples
 — European — RS Fixed-effects meta-analysis
PSS007722 — —
[
  • 988 cases
  • , 537 controls
]
,
52.85 % Male samples
 — European — SPIROMICS Fixed-effects meta-analysis
PSS007723 — —
[
  • 910 cases
  • , 1,556 controls
]
,
57.62 % Male samples
 — African American or Afro-Caribbean — COPDGene Fixed-effects meta-analysis
PSS007723 — —
[
  • 116 cases
  • , 258 controls
]
,
34.49 % Male samples
 — African American or Afro-Caribbean — CHS Fixed-effects meta-analysis
PSS007723 — —
[
  • 794 cases
  • , 1,600 controls
]
,
74.56 % Male samples
 — Not reported — NR Fixed-effects meta-analysis
PSS007723 — —
[
  • 115 cases
  • , 645 controls
]
,
46.58 % Male samples
 — African American or Afro-Caribbean — MESA Fixed-effects meta-analysis
PSS007723 — —
[
  • 31 cases
  • , 422 controls
]
,
49.89 % Male samples
 — East Asian — MESA Fixed-effects meta-analysis
PSS007723 — —
[
  • 62 cases
  • , 613 controls
]
,
47.26 % Male samples
 — Hispanic or Latin American — MESA Fixed-effects meta-analysis
PSS009985 Age of diagnosis was defined using age at earliest exam when moderate-to-severe COPD (modified Global Initiative for Chronic Obstructive Lung Disease (GOLD) grade 2–4 using pre-bronchodilator spirometry) was observed. We defined COPD occurring early in life as age at diagnosis <50 year — 6,647 individuals,
52.3 % Male samples
 — European
(Non-Hispanic White)		 — COPDGene —
PSS009983 Age of diagnosis was defined using age at earliest exam when moderate-to-severe COPD (modified Global Initiative for Chronic Obstructive Lung Disease (GOLD) grade 2–4 using pre-bronchodilator spirometry) was observed. We defined COPD occurring early in life as age at diagnosis <50 year — 2,464 individuals,
57.6 % Male samples
 — African American or Afro-Caribbean
(African American)		 — COPDGene —
PSS009984 Age of diagnosis was defined using age at earliest exam when moderate-to-severe COPD (modified Global Initiative for Chronic Obstructive Lung Disease (GOLD) grade 2–4 using pre-bronchodilator spirometry) was observed. We defined COPD occurring early in life as age at diagnosis <50 year — 6,812 individuals — European — FHS —
PSS009143 — — 2,907 individuals — European Poland (NE Europe) UKB —
PSS007091 — — 5,865 individuals — African unspecified — UKB —
PSS007092 — — 1,590 individuals — East Asian — UKB —
PSS007093 — — 22,831 individuals — European non-white British ancestry UKB —
PSS007094 — — 7,147 individuals — South Asian — UKB —
PSS007095 — — 62,090 individuals — European white British ancestry UKB Testing cohort (heldout set)