Trait: neutrophil percentage of leukocytes

Experimental Factor Ontology (EFO) Information
Identifier EFO_0007990
Description A calculated measurement in which the number of neutrophil granulocytes is divided by the number of all white blood cells in a specified sample of peripheral venous blood, and the result presented as a ratio, fraction, quotient or percentage. A neutrophil is, or is in the process of becoming, a granular leucocyte having a nucleus with three to five lobes connected by threads of chromatin, cytoplasm containing very fine granules, and which is readily stainable with neutral dyes.
Trait category
Hematological measurement
Synonyms 5 synonyms
  • blood neutrophil count to total leukocyte count ratio
  • neutrophil count as percentage of total white blood cells
  • neutrophil count to total WBC count ratio
  • neutrophil percentage
  • neutrophil percentage of white cells
Mapped term(s) CMO:0000370

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)
PGS000106
(neut_p)
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Neutrophil percentage of white cells neutrophil percentage of leukocytes 452
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000106/ScoringFiles/PGS000106.txt.gz
PGS000183
(neut_p)
PGP000078 |
Vuckovic D et al. Cell (2020)
Neutrophil percentage of white cells neutrophil percentage of leukocytes 437
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000183/ScoringFiles/PGS000183.txt.gz
PGS001077
(GBE_INI30200)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Neutrophill % neutrophil percentage of leukocytes 13,703
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001077/ScoringFiles/PGS001077.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
PPM000537 PGS000183
(neut_p)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Neutrophil percentage of white cells : 0.06432 sex, age, 10 genetic PCs
PPM000245 PGS000106
(neut_p)
PSS000145|
European Ancestry|
39,190 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: Neutrophil percentage of white cells Pearson correlation coefficent (r): 0.2774 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)
PPM000244 PGS000106
(neut_p)
PSS000171|
European Ancestry|
81,423 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: Neutrophil percentage of white cells Pearson correlation coefficent (r): 0.2924 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)
PPM004687 PGS001077
(GBE_INI30200)
PSS003150|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Neutrophill % : 0.08177
Incremental R2 (full-covars): 0.07943
PGS R2 (no covariates): 0.07934
age, sex Genotype PCs
PPM004686 PGS001077
(GBE_INI30200)
PSS003149|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Neutrophill % : 0.05036
Incremental R2 (full-covars): 0.04554
PGS R2 (no covariates): 0.04441
age, sex Genotype PCs
PPM004685 PGS001077
(GBE_INI30200)
PSS003148|
European Ancestry|
24,130 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Neutrophill % : 0.07415
Incremental R2 (full-covars): 0.07162
PGS R2 (no covariates): 0.07289
age, sex Genotype PCs
PPM004684 PGS001077
(GBE_INI30200)
PSS003147|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Neutrophill % : 0.07662
Incremental R2 (full-covars): 0.04345
PGS R2 (no covariates): 0.04564
age, sex Genotype PCs
PPM004683 PGS001077
(GBE_INI30200)
PSS003146|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Neutrophill % : 0.04156
Incremental R2 (full-covars): 0.01344
PGS R2 (no covariates): 0.01383
age, sex Genotype PCs

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
PSS000171 81,423 individuals,
46.0 % Male samples
Mean = 57.25 years
Range = [39.99, 70.5] years
European UKB
PSS000291 39,260 individuals European INTERVAL
PSS000145 39,190 individuals,
50.0 % Male samples
Mean = 43.83 years
Range = [18.0, 76.4] years
European INTERVAL
PSS003146 6,120 individuals African unspecified UKB
PSS003147 1,654 individuals East Asian UKB
PSS003148 24,130 individuals European non-white British ancestry UKB
PSS003149 7,491 individuals South Asian UKB
PSS003150 65,520 individuals European white British ancestry UKB