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.
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
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000103
(mono_p)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Monocyte percentage of white cells monocyte percentage of leukocytes 22,843
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 cells monocyte percentage of leukocytes 549
-
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 percentage monocyte percentage of leukocytes 8,762
-
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 percentage monocyte percentage of leukocytes 41,887
-
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 percentage monocyte percentage of leukocytes 544,905
-
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 percentage monocyte percentage of leukocytes 979,739
-
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 percentage monocyte percentage of leukocytes 10,717
-
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 percentage monocyte percentage of leukocytes 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004360/ScoringFiles/PGS004360.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
PPM000238 PGS000103
(mono_p)
PSS000168|
European Ancestry|
80,627 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Monocyte percentage of white cells Pearson correlation coefficent (r): 0.46271 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000239 PGS000103
(mono_p)
PSS000142|
European Ancestry|
39,189 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Monocyte percentage of white cells Pearson correlation coefficent (r): 0.45879 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment)
PPM000534 PGS000178
(mono_p)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Monocyte percentage of white cells : 0.14461 sex, age, 10 genetic PCs
PPM008148 PGS001078
(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
PPM008149 PGS001078
(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
PPM008150 PGS001078
(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
PPM008151 PGS001078
(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
PPM008152 PGS001078
(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
PPM010803 PGS001991
(portability-PLR_monocyte_perc)
PSS009474|
European Ancestry|
19,244 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentage Partial Correlation (partial-r): 0.4126 [0.4008, 0.4243] sex, age, birth date, deprivation index, 16 PCs
PPM010804 PGS001991
(portability-PLR_monocyte_perc)
PSS009248|
European Ancestry|
3,963 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentage Partial Correlation (partial-r): 0.4017 [0.3752, 0.4276] sex, age, birth date, deprivation index, 16 PCs
PPM010805 PGS001991
(portability-PLR_monocyte_perc)
PSS008802|
European Ancestry|
6,368 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentage Partial Correlation (partial-r): 0.4021 [0.3813, 0.4225] sex, age, birth date, deprivation index, 16 PCs
PPM010806 PGS001991
(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 percentage Partial Correlation (partial-r): 0.4032 [0.3531, 0.4511] sex, age, birth date, deprivation index, 16 PCs
PPM010807 PGS001991
(portability-PLR_monocyte_perc)
PSS008354|
South Asian Ancestry|
6,010 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentage Partial Correlation (partial-r): 0.3324 [0.3096, 0.3547] sex, age, birth date, deprivation index, 16 PCs
PPM010808 PGS001991
(portability-PLR_monocyte_perc)
PSS008131|
East Asian Ancestry|
1,744 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentage Partial Correlation (partial-r): 0.3106 [0.2673, 0.3526] sex, age, birth date, deprivation index, 16 PCs
PPM010809 PGS001991
(portability-PLR_monocyte_perc)
PSS007918|
African Ancestry|
2,298 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentage Partial Correlation (partial-r): 0.184 [0.1441, 0.2234] sex, age, birth date, deprivation index, 16 PCs
PPM010810 PGS001991
(portability-PLR_monocyte_perc)
PSS009022|
African Ancestry|
3,663 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentage Partial Correlation (partial-r): 0.1696 [0.1379, 0.201] sex, age, birth date, deprivation index, 16 PCs
PPM012511 PGS002208
(portability-ldpred2_monocyte_perc)
PSS009474|
European Ancestry|
19,244 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentage Partial Correlation (partial-r): 0.4079 [0.396, 0.4196] sex, age, birth date, deprivation index, 16 PCs
PPM012512 PGS002208
(portability-ldpred2_monocyte_perc)
PSS009248|
European Ancestry|
3,963 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentage Partial Correlation (partial-r): 0.3935 [0.3668, 0.4196] sex, age, birth date, deprivation index, 16 PCs
PPM012513 PGS002208
(portability-ldpred2_monocyte_perc)
PSS008802|
European Ancestry|
6,368 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentage Partial Correlation (partial-r): 0.3978 [0.3769, 0.4183] sex, age, birth date, deprivation index, 16 PCs
PPM012514 PGS002208
(portability-ldpred2_monocyte_perc)
PSS008576|
Greater Middle Eastern Ancestry|
1,144 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentage Partial Correlation (partial-r): 0.4047 [0.3546, 0.4524] sex, age, birth date, deprivation index, 16 PCs
PPM012516 PGS002208
(portability-ldpred2_monocyte_perc)
PSS008131|
East Asian Ancestry|
1,744 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentage Partial Correlation (partial-r): 0.3023 [0.2587, 0.3445] sex, age, birth date, deprivation index, 16 PCs
PPM012517 PGS002208
(portability-ldpred2_monocyte_perc)
PSS007918|
African Ancestry|
2,298 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentage Partial Correlation (partial-r): 0.1887 [0.1488, 0.228] sex, age, birth date, deprivation index, 16 PCs
PPM012518 PGS002208
(portability-ldpred2_monocyte_perc)
PSS009022|
African Ancestry|
3,663 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentage Partial Correlation (partial-r): 0.1635 [0.1317, 0.1949] sex, age, birth date, deprivation index, 16 PCs
PPM012515 PGS002208
(portability-ldpred2_monocyte_perc)
PSS008354|
South Asian Ancestry|
6,010 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte percentage Partial Correlation (partial-r): 0.3313 [0.3085, 0.3536] sex, age, birth date, deprivation index, 16 PCs
PPM017574 PGS003562
(cont-decay-monocyte_perc)
PSS010845|
European Ancestry|
3,952 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte percentage partial-R2: 0.16 sex, age, deprivation index, PC1-16
PPM017658 PGS003562
(cont-decay-monocyte_perc)
PSS010677|
European Ancestry|
6,213 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte percentage partial-R2: 0.16 sex, age, deprivation index, PC1-16
PPM017826 PGS003562
(cont-decay-monocyte_perc)
PSS010257|
European Ancestry|
2,241 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte percentage partial-R2: 0.15 sex, age, deprivation index, PC1-16
PPM017910 PGS003562
(cont-decay-monocyte_perc)
PSS010509|
South Asian Ancestry|
5,958 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte percentage partial-R2: 0.1 sex, age, deprivation index, PC1-16
PPM017994 PGS003562
(cont-decay-monocyte_perc)
PSS010425|
East Asian Ancestry|
1,732 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte percentage partial-R2: 0.09 sex, age, deprivation index, PC1-16
PPM018078 PGS003562
(cont-decay-monocyte_perc)
PSS010341|
African Ancestry|
2,285 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte percentage partial-R2: 0.04 sex, age, deprivation index, PC1-16
PPM018162 PGS003562
(cont-decay-monocyte_perc)
PSS010761|
African Ancestry|
3,634 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte percentage partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM017490 PGS003562
(cont-decay-monocyte_perc)
PSS010929|
European Ancestry|
19,237 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte percentage partial-R2: 0.16 sex, age, deprivation index, PC1-16
PPM017742 PGS003562
(cont-decay-monocyte_perc)
PSS010593|
Greater Middle Eastern Ancestry|
1,114 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte percentage partial-R2: 0.16 sex, age, deprivation index, PC1-16
PPM019029 PGS003942
(INI30190)
PSS011139|
European Ancestry|
65,814 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Monocyte percentage : 0.1281 [0.1234, 0.1328]
PGS R2 (no covariates): 0.08549 [0.08146, 0.08952]
Incremental R2 (full-covars): 0.0852
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019030 PGS003942
(INI30190)
PSS011110|
European Ancestry|
2,810 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Monocyte percentage : 0.1222 [0.09987, 0.14453]
PGS R2 (no covariates): 0.08548 [0.06603, 0.10494]
Incremental R2 (full-covars): 0.08222
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019031 PGS003942
(INI30190)
PSS011112|
South Asian Ancestry|
1,428 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Monocyte percentage : 0.15234 [0.11879, 0.18589]
PGS R2 (no covariates): 0.07059 [0.04555, 0.09563]
Incremental R2 (full-covars): 0.06921
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019032 PGS003942
(INI30190)
PSS011154|
African Ancestry|
1,154 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Monocyte percentage : 0.03382 [0.01388, 0.05376]
PGS R2 (no covariates): 0.01755 [0.00294, 0.03215]
Incremental R2 (full-covars): 0.01822
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019033 PGS003942
(INI30190)
PSS011168|
Multi-ancestry (excluding European)|
7,732 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Monocyte percentage : 0.08833 [0.07647, 0.1002]
PGS R2 (no covariates): 0.0562 [0.0464, 0.06599]
Incremental R2 (full-covars): 0.04903
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM020475 PGS004360
(X30190.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: Monocyte percentage PGS R2 (no covariates): 0.24644

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
PSS011154 1,154 individuals African unspecified UKB
PSS010929 19,237 individuals,
46.0 % Male samples
Mean = 56.9 years
Sd = 7.9 years
European white British UKB
PSS010677 6,213 individuals,
45.0 % Male samples
Mean = 54.5 years
Sd = 8.4 years
European Italian UKB
PSS006996 6,120 individuals African unspecified UKB
PSS006997 1,654 individuals East Asian UKB
PSS006998 24,130 individuals European non-white British ancestry UKB
PSS006999 7,491 individuals South Asian UKB
PSS007000 65,520 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS010425 1,732 individuals,
34.0 % Male samples
Mean = 52.5 years
Sd = 7.8 years
East Asian Chinese UKB
PSS008802 6,368 individuals European Italy (South Europe) UKB
PSS011168 7,732 individuals East Asian, Other admixed ancestry East Asian, Other admixed ancestry UKB
PSS011139 65,814 individuals European
(white British ancestry)
UKB
PSS000291 39,260 individuals European INTERVAL
PSS007918 2,298 individuals African American or Afro-Caribbean Carribean UKB
PSS008576 1,144 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS009474 19,244 individuals European UK (+ Ireland) UKB
PSS010845 3,952 individuals,
38.0 % Male samples
Mean = 54.3 years
Sd = 7.5 years
European Polish UKB
PSS010593 1,114 individuals,
60.0 % Male samples
Mean = 52.0 years
Sd = 8.0 years
Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB
PSS010341 2,285 individuals,
37.0 % Male samples
Mean = 52.4 years
Sd = 8.0 years
African American or Afro-Caribbean Caribbean UKB
PSS000142 39,189 individuals,
50.0 % Male samples
Mean = 43.83 years
Range = [18.0, 76.4] years
European INTERVAL
PSS011364 56,192 individuals European UKB
PSS009248 3,963 individuals European Poland (NE Europe) UKB
PSS008354 6,010 individuals South Asian India (South Asia) UKB
PSS011110 2,810 individuals European
(non-white British ancestry)
UKB
PSS000168 80,627 individuals,
46.0 % Male samples
Mean = 57.23 years
Range = [40.19, 71.1] years
European UKB
PSS011112 1,428 individuals South Asian UKB
PSS010761 3,634 individuals,
47.0 % Male samples
Mean = 51.9 years
Sd = 8.1 years
African unspecified Nigerian UKB
PSS010509 5,958 individuals,
55.0 % Male samples
Mean = 53.3 years
Sd = 8.4 years
South Asian Indian UKB
PSS010257 2,241 individuals,
45.0 % Male samples
Mean = 58.0 years
Sd = 7.1 years
European Ashkenazi UKB
PSS009022 3,663 individuals African unspecified Nigeria (West Africa) UKB
PSS008131 1,744 individuals East Asian China (East Asia) UKB