Trait: monocyte percentage of leukocytes

Experimental Factor Ontology (EFO) Information
Identifier EFO_0007989
Description A calculated measurement in which the number of monocytes in a specified sample of blood is divided ... by the total number of white blood cells in the sample, and the result presented as a ratio, fraction, quotient or percentage. Show more
Trait category
Hematological measurement
Synonyms 5 synonyms
  • blood monocyte count to total leukocyte count ratio
  • monocyte count as percentage of total white blood cells
  • monocyte count to total WBC count ratio
  • monocyte percentage
  • monocyte percentage of white cells
Mapped term CMO:0000374

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)
PGS000103
(mono_p)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Monocyte percentage of white cellsmonocyte percentage of leukocytes22,843
G
D
E
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000103/ScoringFiles/PGS000103.txt.gz
PGS000178
(mono_p)
PGP000078 |
Vuckovic D et al. Cell (2020)
Monocyte percentage of white cellsmonocyte percentage of leukocytes549
G
-
E
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000178/ScoringFiles/PGS000178.txt.gz
PGS001078
(GBE_INI30190)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Monocyte percentagemonocyte percentage of leukocytes8,762
-
D
E
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001078/ScoringFiles/PGS001078.txt.gz
PGS001991
(portability-PLR_monocyte_perc)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Monocyte percentagemonocyte percentage of leukocytes41,887
-
D
E
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001991/ScoringFiles/PGS001991.txt.gz
PGS002208
(portability-ldpred2_monocyte_perc)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Monocyte percentagemonocyte percentage of leukocytes544,905
-
D
E
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002208/ScoringFiles/PGS002208.txt.gz
PGS003562
(cont-decay-monocyte_perc)
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Monocyte percentagemonocyte percentage of leukocytes979,739
-
D
E
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003562/ScoringFiles/PGS003562.txt.gz
PGS003942
(INI30190)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Monocyte percentagemonocyte percentage of leukocytes10,717
-
D
E
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003942/ScoringFiles/PGS003942.txt.gz
PGS004360
(X30190.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Monocyte percentagemonocyte percentage of leukocytes1,059,939
-
D
E
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004360/ScoringFiles/PGS004360.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
PPM000238PGS000103
(mono_p)
PSS000168|
European Ancestry|
80,627 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Monocyte percentage of white cellsPearson correlation coefficent (r): 0.46271age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical cova... riates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment)Show moreUKB Testing Set - these samples were held out from Score Development (regression training) but overl... ap with the samples used for variant selection (GWAS)Show more
PPM000239PGS000103
(mono_p)
PSS000142|
European Ancestry|
39,189 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Monocyte percentage of white cellsPearson correlation coefficent (r): 0.45879age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical cova... riates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment)Show more
PPM000534PGS000178
(mono_p)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Monocyte percentage of white cells: 0.14461sex, age, 10 genetic PCs
PPM008148PGS001078
(GBE_INI30190)
PSS006996|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte %: 0.03107 [0.02277, 0.03938]
Incremental R2 (full-covars): 0.01068
PGS R2 (no covariates): 0.01162 [0.00644, 0.0168]
age, sex, UKB array type, Genotype PCs
PPM008149PGS001078
(GBE_INI30190)
PSS006997|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte %: 0.10068 [0.07364, 0.12772]
Incremental R2 (full-covars): 0.04628
PGS R2 (no covariates): 0.04808 [0.0283, 0.06786]
age, sex, UKB array type, Genotype PCs
PPM008150PGS001078
(GBE_INI30190)
PSS006998|
European Ancestry|
24,130 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte %: 0.12442 [0.11675, 0.13209]
Incremental R2 (full-covars): 0.08036
PGS R2 (no covariates): 0.08169 [0.07518, 0.08821]
age, sex, UKB array type, Genotype PCs
PPM008151PGS001078
(GBE_INI30190)
PSS006999|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte %: 0.12434 [0.11066, 0.13801]
Incremental R2 (full-covars): 0.05529
PGS R2 (no covariates): 0.05423 [0.04448, 0.06398]
age, sex, UKB array type, Genotype PCs
PPM008152PGS001078
(GBE_INI30190)
PSS007000|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte %: 0.12757 [0.12287, 0.13228]
Incremental R2 (full-covars): 0.08527
PGS R2 (no covariates): 0.08574 [0.0817, 0.08978]
age, sex, UKB array type, Genotype PCs
PPM010803PGS001991
(portability-PLR_monocyte_perc)
PSS009474|
European Ancestry|
19,244 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentagePartial Correlation (partial-r): 0.4126 [0.4008, 0.4243]sex, age, birth date, deprivation index, 16 PCs
PPM010804PGS001991
(portability-PLR_monocyte_perc)
PSS009248|
European Ancestry|
3,963 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentagePartial Correlation (partial-r): 0.4017 [0.3752, 0.4276]sex, age, birth date, deprivation index, 16 PCs
PPM010805PGS001991
(portability-PLR_monocyte_perc)
PSS008802|
European Ancestry|
6,368 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentagePartial Correlation (partial-r): 0.4021 [0.3813, 0.4225]sex, age, birth date, deprivation index, 16 PCs
PPM010806PGS001991
(portability-PLR_monocyte_perc)
PSS008576|
Greater Middle Eastern Ancestry|
1,144 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentagePartial Correlation (partial-r): 0.4032 [0.3531, 0.4511]sex, age, birth date, deprivation index, 16 PCs
PPM010807PGS001991
(portability-PLR_monocyte_perc)
PSS008354|
South Asian Ancestry|
6,010 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentagePartial Correlation (partial-r): 0.3324 [0.3096, 0.3547]sex, age, birth date, deprivation index, 16 PCs
PPM010808PGS001991
(portability-PLR_monocyte_perc)
PSS008131|
East Asian Ancestry|
1,744 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentagePartial Correlation (partial-r): 0.3106 [0.2673, 0.3526]sex, age, birth date, deprivation index, 16 PCs
PPM010809PGS001991
(portability-PLR_monocyte_perc)
PSS007918|
African Ancestry|
2,298 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentagePartial Correlation (partial-r): 0.184 [0.1441, 0.2234]sex, age, birth date, deprivation index, 16 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
PSS00014239,189 individuals,
50.0 % Male samples
Mean = 43.83 years
Range = [18.0, 76.4] years
EuropeanINTERVAL
PSS00016880,627 individuals,
46.0 % Male samples
Mean = 57.23 years
Range = [40.19, 71.1] years
EuropeanUKB
PSS00029139,260 individualsEuropeanINTERVAL
PSS0069966,120 individualsAfrican unspecifiedUKB
PSS0069971,654 individualsEast AsianUKB
PSS00699824,130 individualsEuropeannon-white British ancestryUKB
PSS0069997,491 individualsSouth AsianUKB
PSS00700065,520 individualsEuropeanwhite British ancestryUKBTesting cohort (heldout set)
PSS0079182,298 individualsAfrican American or Afro-CaribbeanCarribeanUKB
PSS0081311,744 individualsEast AsianChina (East Asia)UKB
PSS0083546,010 individualsSouth AsianIndia (South Asia)UKB
PSS0085761,144 individualsGreater Middle Eastern (Middle Eastern, North African or Persian)Iran (Middle East)UKB
PSS0088026,368 individualsEuropeanItaly (South Europe)UKB
PSS0090223,663 individualsAfrican unspecifiedNigeria (West Africa)UKB
PSS0092483,963 individualsEuropeanPoland (NE Europe)UKB
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