Trait: leukocyte count

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004308
Description The number of WHITE BLOOD CELLS per unit volume in venous BLOOD. A differential leukocyte count measures the relative numbers of the different types of white cells.
Trait category
Hematological measurement
Synonyms 3 synonyms
  • WBC
  • white blood cell count
  • white cell count
Mapped term(s) 4 mapped terms
  • MeSH:D007958
  • MedDRA:10080703
  • NCIt:C51948
  • SNOMEDCT:767002
Child trait(s) 10 child traits

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
Note: This table shows all PGS for "leukocyte count" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000088
(baso)
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Basophil count basophil count 198
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000088/ScoringFiles/PGS000088.txt.gz
PGS000089
(baso_p)
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Basophil percentage of white cells basophil percentage of leukocytes 160
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000089/ScoringFiles/PGS000089.txt.gz
PGS000090
(eo)
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Eosinophil count eosinophil count 623
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000090/ScoringFiles/PGS000090.txt.gz
PGS000091
(eo_p)
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Eosinophil percentage of white cells eosinophil percentage of leukocytes 589
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000091/ScoringFiles/PGS000091.txt.gz
PGS000097
(lymph)
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Lymphocyte count lymphocyte count 639
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000097/ScoringFiles/PGS000097.txt.gz
PGS000098
(lymph_p)
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Lymphocyte percentage of white cells lymphocyte percentage of leukocytes 489
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000098/ScoringFiles/PGS000098.txt.gz
PGS000102
(mono)
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Monocyte count monocyte count 674
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000102/ScoringFiles/PGS000102.txt.gz
PGS000103
(mono_p)
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Monocyte percentage of white cells monocyte percentage of leukocytes 583
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000103/ScoringFiles/PGS000103.txt.gz
PGS000105
(neut)
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Neutrophil count neutrophil count 512
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000105/ScoringFiles/PGS000105.txt.gz
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
PGS000113
(wbc)
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
White blood cell count leukocyte count 659
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000113/ScoringFiles/PGS000113.txt.gz
PGS000163
(baso)
PGP000078 |
Vuckovic D et al. Cell (2020)
Basophil count basophil count 185
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000163/ScoringFiles/PGS000163.txt.gz
PGS000164
(baso_p)
PGP000078 |
Vuckovic D et al. Cell (2020)
Basophil percentage of white cells basophil percentage of leukocytes 150
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000164/ScoringFiles/PGS000164.txt.gz
PGS000165
(eo)
PGP000078 |
Vuckovic D et al. Cell (2020)
Eosinophil count eosinophil count 607
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000165/ScoringFiles/PGS000165.txt.gz
PGS000166
(eo_p)
PGP000078 |
Vuckovic D et al. Cell (2020)
Eosinophil percentage of white cells eosinophil percentage of leukocytes 571
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000166/ScoringFiles/PGS000166.txt.gz
PGS000172
(lymph)
PGP000078 |
Vuckovic D et al. Cell (2020)
Lymphocyte count lymphocyte count 621
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000172/ScoringFiles/PGS000172.txt.gz
PGS000173
(lymph_p)
PGP000078 |
Vuckovic D et al. Cell (2020)
Lymphocyte percentage of white cells lymphocyte percentage of leukocytes 472
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000173/ScoringFiles/PGS000173.txt.gz
PGS000177
(mono)
PGP000078 |
Vuckovic D et al. Cell (2020)
Monocyte count monocyte count 638
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000177/ScoringFiles/PGS000177.txt.gz
PGS000178
(mono_p)
PGP000078 |
Vuckovic D et al. Cell (2020)
Monocyte percentage of white cells monocyte percentage of leukocytes 549
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000178/ScoringFiles/PGS000178.txt.gz
PGS000182
(neut)
PGP000078 |
Vuckovic D et al. Cell (2020)
Neutrophil count neutrophil count 492
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000182/ScoringFiles/PGS000182.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
PGS000191
(wbc)
PGP000078 |
Vuckovic D et al. Cell (2020)
White blood cell count leukocyte count 636
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000191/ScoringFiles/PGS000191.txt.gz
PGS001076
(GBE_INI30210)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Eosinophill % eosinophil percentage of leukocytes 12,563
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001076/ScoringFiles/PGS001076.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
PGS001078
(GBE_INI30190)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Monocyte % monocyte percentage of leukocytes 8,762
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001078/ScoringFiles/PGS001078.txt.gz
PGS001163
(GBE_INI30130)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Monocyte count monocyte count 9,323
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001163/ScoringFiles/PGS001163.txt.gz
PGS001172
(GBE_INI30150)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Eosinophill count eosinophil count 12,579
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001172/ScoringFiles/PGS001172.txt.gz
PGS001173
(GBE_INI30140)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Neutrophill count neutrophil count 15,578
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001173/ScoringFiles/PGS001173.txt.gz
PGS001199
(GBE_INI30120)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Lymphocyte count lymphocyte count 4,212
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001199/ScoringFiles/PGS001199.txt.gz
PGS001239
(GBE_INI30000)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
White blood cell count leukocyte count 13,785
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001239/ScoringFiles/PGS001239.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
PPM000208 PGS000088
(baso)
PSS000153|
European Ancestry|
80,944 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: Basophil count Pearson correlation coefficent (r): 0.2021 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)
PPM000209 PGS000088
(baso)
PSS000127|
European Ancestry|
39,986 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: Basophil count Pearson correlation coefficent (r): 0.1804 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)
PPM000210 PGS000089
(baso_p)
PSS000154|
European Ancestry|
80,906 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: Basophil percentage of white cells Pearson correlation coefficent (r): 0.1911 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)
PPM000211 PGS000089
(baso_p)
PSS000128|
European Ancestry|
40,133 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: Basophil percentage of white cells Pearson correlation coefficent (r): 0.1632 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)
PPM000212 PGS000090
(eo)
PSS000155|
European Ancestry|
81,294 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: Eosinophil count Pearson correlation coefficent (r): 0.383 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)
PPM000213 PGS000090
(eo)
PSS000129|
European Ancestry|
40,276 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: Eosinophil count Pearson correlation coefficent (r): 0.3556 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)
PPM000214 PGS000091
(eo_p)
PSS000156|
European Ancestry|
81,283 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: Eosinophil percentage of white cells Pearson correlation coefficent (r): 0.3687 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)
PPM000215 PGS000091
(eo_p)
PSS000130|
European Ancestry|
40,326 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: Eosinophil percentage of white cells Pearson correlation coefficent (r): 0.3412 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)
PPM000226 PGS000097
(lymph)
PSS000162|
European Ancestry|
81,455 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: Lymphocyte count Pearson correlation coefficent (r): 0.369 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)
PPM000227 PGS000097
(lymph)
PSS000136|
European Ancestry|
39,191 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: Lymphocyte count Pearson correlation coefficent (r): 0.3511 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)
PPM000228 PGS000098
(lymph_p)
PSS000163|
European Ancestry|
81,464 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: Lymphocyte percentage of white cells Pearson correlation coefficent (r): 0.3046 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)
PPM000229 PGS000098
(lymph_p)
PSS000137|
European Ancestry|
39,178 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: Lymphocyte percentage of white cells Pearson correlation coefficent (r): 0.2817 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)
PPM000236 PGS000102
(mono)
PSS000167|
European Ancestry|
80,799 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: Monocyte count Pearson correlation coefficent (r): 0.4644 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)
PPM000237 PGS000102
(mono)
PSS000141|
European Ancestry|
39,177 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: Monocyte count Pearson correlation coefficent (r): 0.4319 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)
PPM000238 PGS000103
(mono_p)
PSS000168|
European Ancestry|
80,627 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: Monocyte percentage of white cells Pearson correlation coefficent (r): 0.4395 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. bioRxiv (2020)
|Pre
Reported Trait: Monocyte percentage of white cells Pearson correlation coefficent (r): 0.4207 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)
PPM000242 PGS000105
(neut)
PSS000170|
European Ancestry|
81,358 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: Neutrophil count Pearson correlation coefficent (r): 0.3359 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)
PPM000243 PGS000105
(neut)
PSS000144|
European Ancestry|
39,138 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: Neutrophil count Pearson correlation coefficent (r): 0.3159 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)
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)
PPM000258 PGS000113
(wbc)
PSS000178|
European Ancestry|
81,606 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: White blood cell count Pearson correlation coefficent (r): 0.3655 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)
PPM000259 PGS000113
(wbc)
PSS000152|
European Ancestry|
40,466 individuals
PGP000051 |
Xu Y et al. bioRxiv (2020)
|Pre
Reported Trait: White blood cell count Pearson correlation coefficent (r): 0.3394 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)
PPM000546 PGS000163
(baso)
PSS000290|
European Ancestry|
2,314 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Basophil count : 0.0089 sex, age, 10 genetic PCs
PPM000519 PGS000163
(baso)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Basophil count : 0.02691 sex, age, 10 genetic PCs
PPM000520 PGS000164
(baso_p)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Basophil percentage of white cells : 0.02544 sex, age, 10 genetic PCs
PPM000547 PGS000165
(eo)
PSS000290|
European Ancestry|
2,314 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Eosinophil count : 0.06931 sex, age, 10 genetic PCs
PPM000521 PGS000165
(eo)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Eosinophil count : 0.11155 sex, age, 10 genetic PCs
PPM000522 PGS000166
(eo_p)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Eosinophil percentage of white cells : 0.0979 sex, age, 10 genetic PCs
PPM000550 PGS000172
(lymph)
PSS000290|
European Ancestry|
2,314 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Lymphocyte count : 0.03217 sex, age, 10 genetic PCs
PPM000528 PGS000172
(lymph)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Lymphocyte count : 0.10555 sex, age, 10 genetic PCs
PPM000529 PGS000173
(lymph_p)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Lymphocyte percentage of white cells : 0.06965 sex, age, 10 genetic PCs
PPM000554 PGS000177
(mono)
PSS000290|
European Ancestry|
2,314 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Monocyte count : 0.09474 sex, age, 10 genetic PCs
PPM000533 PGS000177
(mono)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Monocyte count : 0.15859 sex, age, 10 genetic PCs
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
PPM000556 PGS000182
(neut)
PSS000290|
European Ancestry|
2,314 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Neutrophil count : 0.06859 sex, age, 10 genetic PCs
PPM000536 PGS000182
(neut)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Neutrophil count : 0.08009 sex, age, 10 genetic PCs
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
PPM000560 PGS000191
(wbc)
PSS000290|
European Ancestry|
2,314 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: White blood cell count : 0.06336 sex, age, 10 genetic PCs
PPM000545 PGS000191
(wbc)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: White blood cell count : 0.08672 sex, age, 10 genetic PCs
PPM001770 PGS000191
(wbc)
PSS000911|
Greater Middle Eastern Ancestry|
13,989 individuals
PGP000147 |
Thareja G et al. Nat Commun (2021)
|Ext.
Reported Trait: White blood cell count Pearson correlation coefficent (r): 0.19
PPM004689 PGS001076
(GBE_INI30210)
PSS003152|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Eosinophill % : 0.0678
Incremental R2 (full-covars): 0.03179
PGS R2 (no covariates): 0.03326
age, sex Genotype PCs
PPM004690 PGS001076
(GBE_INI30210)
PSS003153|
European Ancestry|
24,130 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Eosinophill % : 0.10724
Incremental R2 (full-covars): 0.09161
PGS R2 (no covariates): 0.09579
age, sex Genotype PCs
PPM004691 PGS001076
(GBE_INI30210)
PSS003154|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Eosinophill % : 0.08004
Incremental R2 (full-covars): 0.0618
PGS R2 (no covariates): 0.06258
age, sex Genotype PCs
PPM004692 PGS001076
(GBE_INI30210)
PSS003155|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Eosinophill % : 0.10366
Incremental R2 (full-covars): 0.09574
PGS R2 (no covariates): 0.09594
age, sex Genotype PCs
PPM004688 PGS001076
(GBE_INI30210)
PSS003151|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Eosinophill % : 0.02749
Incremental R2 (full-covars): 0.01358
PGS R2 (no covariates): 0.01502
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
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
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
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
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
PPM004678 PGS001078
(GBE_INI30190)
PSS003141|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Monocyte % : 0.03107
Incremental R2 (full-covars): 0.01068
PGS R2 (no covariates): 0.01162
age, sex Genotype PCs
PPM004679 PGS001078
(GBE_INI30190)
PSS003142|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Monocyte % : 0.10068
Incremental R2 (full-covars): 0.04628
PGS R2 (no covariates): 0.04808
age, sex Genotype PCs
PPM004680 PGS001078
(GBE_INI30190)
PSS003143|
European Ancestry|
24,130 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Monocyte % : 0.12442
Incremental R2 (full-covars): 0.08037
PGS R2 (no covariates): 0.08169
age, sex Genotype PCs
PPM004681 PGS001078
(GBE_INI30190)
PSS003144|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Monocyte % : 0.12434
Incremental R2 (full-covars): 0.05529
PGS R2 (no covariates): 0.05423
age, sex Genotype PCs
PPM004682 PGS001078
(GBE_INI30190)
PSS003145|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Monocyte % : 0.12745
Incremental R2 (full-covars): 0.08526
PGS R2 (no covariates): 0.08574
age, sex Genotype PCs
PPM004663 PGS001163
(GBE_INI30130)
PSS003126|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Monocyte count : 0.02543
Incremental R2 (full-covars): 0.01339
PGS R2 (no covariates): 0.01659
age, sex Genotype PCs
PPM004664 PGS001163
(GBE_INI30130)
PSS003127|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Monocyte count : 0.10427
Incremental R2 (full-covars): 0.03555
PGS R2 (no covariates): 0.04025
age, sex Genotype PCs
PPM004665 PGS001163
(GBE_INI30130)
PSS003128|
European Ancestry|
24,129 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Monocyte count : 0.12679
Incremental R2 (full-covars): 0.08066
PGS R2 (no covariates): 0.08361
age, sex Genotype PCs
PPM004666 PGS001163
(GBE_INI30130)
PSS003129|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Monocyte count : 0.09808
Incremental R2 (full-covars): 0.05583
PGS R2 (no covariates): 0.05525
age, sex Genotype PCs
PPM004667 PGS001163
(GBE_INI30130)
PSS003130|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Monocyte count : 0.11906
Incremental R2 (full-covars): 0.0811
PGS R2 (no covariates): 0.08138
age, sex Genotype PCs
PPM004673 PGS001172
(GBE_INI30150)
PSS003136|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Eosinophill count : 0.02165
Incremental R2 (full-covars): 0.01273
PGS R2 (no covariates): 0.01483
age, sex Genotype PCs
PPM004674 PGS001172
(GBE_INI30150)
PSS003137|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Eosinophill count : 0.07017
Incremental R2 (full-covars): 0.02406
PGS R2 (no covariates): 0.02686
age, sex Genotype PCs
PPM004675 PGS001172
(GBE_INI30150)
PSS003138|
European Ancestry|
24,129 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Eosinophill count : 0.10557
Incremental R2 (full-covars): 0.0897
PGS R2 (no covariates): 0.0939
age, sex Genotype PCs
PPM004676 PGS001172
(GBE_INI30150)
PSS003139|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Eosinophill count : 0.06486
Incremental R2 (full-covars): 0.05229
PGS R2 (no covariates): 0.05348
age, sex Genotype PCs
PPM004677 PGS001172
(GBE_INI30150)
PSS003140|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Eosinophill count : 0.10199
Incremental R2 (full-covars): 0.09363
PGS R2 (no covariates): 0.09398
age, sex Genotype PCs
PPM004669 PGS001173
(GBE_INI30140)
PSS003132|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Neutrophill count : 0.05754
Incremental R2 (full-covars): 0.037
PGS R2 (no covariates): 0.0354
age, sex Genotype PCs
PPM004670 PGS001173
(GBE_INI30140)
PSS003133|
European Ancestry|
24,129 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Neutrophill count : 0.08552
Incremental R2 (full-covars): 0.07984
PGS R2 (no covariates): 0.08282
age, sex Genotype PCs
PPM004671 PGS001173
(GBE_INI30140)
PSS003134|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Neutrophill count : 0.07553
Incremental R2 (full-covars): 0.0671
PGS R2 (no covariates): 0.06762
age, sex Genotype PCs
PPM004672 PGS001173
(GBE_INI30140)
PSS003135|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Neutrophill count : 0.09126
Incremental R2 (full-covars): 0.0892
PGS R2 (no covariates): 0.08935
age, sex Genotype PCs
PPM004668 PGS001173
(GBE_INI30140)
PSS003131|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Neutrophill count : 0.06347
Incremental R2 (full-covars): 0.00644
PGS R2 (no covariates): 0.01221
age, sex Genotype PCs
PPM004658 PGS001199
(GBE_INI30120)
PSS003121|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Lymphocyte count : 0.01509
Incremental R2 (full-covars): 0.0048
PGS R2 (no covariates): 0.00655
age, sex Genotype PCs
PPM004659 PGS001199
(GBE_INI30120)
PSS003122|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Lymphocyte count : 0.07751
Incremental R2 (full-covars): 0.02783
PGS R2 (no covariates): 0.0308
age, sex Genotype PCs
PPM004660 PGS001199
(GBE_INI30120)
PSS003123|
European Ancestry|
24,129 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Lymphocyte count : 0.03959
Incremental R2 (full-covars): 0.03443
PGS R2 (no covariates): 0.03502
age, sex Genotype PCs
PPM004661 PGS001199
(GBE_INI30120)
PSS003124|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Lymphocyte count : 0.04041
Incremental R2 (full-covars): 0.02891
PGS R2 (no covariates): 0.02928
age, sex Genotype PCs
PPM004662 PGS001199
(GBE_INI30120)
PSS003125|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Lymphocyte count : 0.02503
Incremental R2 (full-covars): 0.0206
PGS R2 (no covariates): 0.02072
age, sex Genotype PCs
PPM004598 PGS001239
(GBE_INI30000)
PSS003061|
African Ancestry|
6,139 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: White blood cell count : 0.05282
Incremental R2 (full-covars): 0.00963
PGS R2 (no covariates): 0.01451
age, sex Genotype PCs
PPM004599 PGS001239
(GBE_INI30000)
PSS003062|
East Asian Ancestry|
1,655 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: White blood cell count : 0.07596
Incremental R2 (full-covars): 0.0496
PGS R2 (no covariates): 0.05069
age, sex Genotype PCs
PPM004600 PGS001239
(GBE_INI30000)
PSS003063|
European Ancestry|
24,174 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: White blood cell count : 0.08518
Incremental R2 (full-covars): 0.07841
PGS R2 (no covariates): 0.08212
age, sex Genotype PCs
PPM004601 PGS001239
(GBE_INI30000)
PSS003064|
South Asian Ancestry|
7,520 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: White blood cell count : 0.07166
Incremental R2 (full-covars): 0.06404
PGS R2 (no covariates): 0.06438
age, sex Genotype PCs
PPM004602 PGS001239
(GBE_INI30000)
PSS003065|
European Ancestry|
65,638 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: White blood cell count : 0.07479
Incremental R2 (full-covars): 0.0724
PGS R2 (no covariates): 0.07264
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
PSS003140 65,520 individuals European white British ancestry UKB
PSS003125 65,520 individuals European white British ancestry UKB
PSS003121 6,120 individuals African unspecified UKB
PSS003122 1,654 individuals East Asian UKB
PSS003123 24,129 individuals European non-white British ancestry UKB
PSS003124 7,491 individuals South Asian UKB
PSS003147 1,654 individuals East Asian UKB
PSS000290 2,314 individuals European
(French Canadian)
CARTaGENE
PSS000291 39,260 individuals European INTERVAL
PSS003126 6,120 individuals African unspecified UKB
PSS003127 1,654 individuals East Asian UKB
PSS003148 24,130 individuals European non-white British ancestry UKB
PSS003128 24,129 individuals European non-white British ancestry UKB
PSS003129 7,491 individuals South Asian UKB
PSS003130 65,520 individuals European white British ancestry UKB
PSS003132 1,654 individuals East Asian UKB
PSS003133 24,129 individuals European non-white British ancestry UKB
PSS000911 13,989 individuals Greater Middle Eastern (Middle Eastern, North African or Persian)
(Qatari)
QBB
PSS003136 6,120 individuals African unspecified UKB
PSS003137 1,654 individuals East Asian UKB
PSS003138 24,129 individuals European non-white British ancestry UKB
PSS003139 7,491 individuals South Asian UKB
PSS003141 6,120 individuals African unspecified UKB
PSS003142 1,654 individuals East Asian UKB
PSS003143 24,130 individuals European non-white British ancestry UKB
PSS003144 7,491 individuals South Asian UKB
PSS003145 65,520 individuals European white British ancestry UKB
PSS003146 6,120 individuals African unspecified UKB
PSS000127 39,986 individuals,
50.0 % Male samples
Mean = 43.87 years
Range = [18.0, 76.4] years
European INTERVAL
PSS000128 40,133 individuals,
50.0 % Male samples
Mean = 43.92 years
Range = [18.0, 76.4] years
European INTERVAL
PSS000129 40,276 individuals,
49.0 % Male samples
Mean = 43.84 years
Range = [18.0, 76.4] years
European INTERVAL
PSS000130 40,326 individuals,
49.0 % Male samples
Mean = 43.83 years
Range = [18.0, 76.4] years
European INTERVAL
PSS003151 6,120 individuals African unspecified UKB
PSS003152 1,654 individuals East Asian UKB
PSS003153 24,130 individuals European non-white British ancestry UKB
PSS003154 7,491 individuals South Asian UKB
PSS003155 65,520 individuals European white British ancestry UKB
PSS000136 39,191 individuals,
50.0 % Male samples
Mean = 43.82 years
Range = [18.0, 76.4] years
European INTERVAL
PSS000137 39,178 individuals,
50.0 % Male samples
Mean = 43.82 years
Range = [18.0, 76.4] years
European INTERVAL
PSS003149 7,491 individuals South Asian UKB
PSS003150 65,520 individuals European white British ancestry UKB
PSS000141 39,177 individuals,
50.0 % Male samples
Mean = 43.82 years
Range = [18.0, 76.4] years
European INTERVAL
PSS000142 39,189 individuals,
50.0 % Male samples
Mean = 43.83 years
Range = [18.0, 76.4] years
European INTERVAL
PSS000144 39,138 individuals,
50.0 % Male samples
Mean = 43.84 years
Range = [18.0, 76.4] years
European INTERVAL
PSS000145 39,190 individuals,
50.0 % Male samples
Mean = 43.83 years
Range = [18.0, 76.4] years
European INTERVAL
PSS000152 40,466 individuals,
49.0 % Male samples
Mean = 43.84 years
Range = [18.0, 76.4] years
European INTERVAL
PSS000153 80,944 individuals,
46.0 % Male samples
Mean = 57.21 years
Range = [40.05, 70.91] years
European UKB
PSS000154 80,906 individuals,
46.0 % Male samples
Mean = 57.2 years
Range = [40.18, 72.91] years
European UKB
PSS000155 81,294 individuals,
46.0 % Male samples
Mean = 57.2 years
Range = [39.98, 72.44] years
European UKB
PSS000156 81,283 individuals,
45.0 % Male samples
Mean = 57.19 years
Range = [38.87, 71.1] years
European UKB
PSS003131 6,120 individuals African unspecified UKB
PSS000162 81,455 individuals,
45.0 % Male samples
Mean = 57.23 years
Range = [40.05, 71.07] years
European UKB
PSS000163 81,464 individuals,
46.0 % Male samples
Mean = 57.22 years
Range = [40.17, 71.1] years
European UKB
PSS000167 80,799 individuals,
46.0 % Male samples
Mean = 57.23 years
Range = [39.66, 70.7] years
European UKB
PSS000168 80,627 individuals,
46.0 % Male samples
Mean = 57.23 years
Range = [40.19, 71.1] years
European UKB
PSS003134 7,491 individuals South Asian UKB
PSS000170 81,358 individuals,
45.0 % Male samples
Mean = 57.19 years
Range = [40.19, 72.44] years
European UKB
PSS000171 81,423 individuals,
46.0 % Male samples
Mean = 57.25 years
Range = [39.99, 70.5] years
European UKB
PSS003061 6,139 individuals African unspecified UKB
PSS003135 65,520 individuals European white British ancestry UKB
PSS003062 1,655 individuals East Asian UKB
PSS003063 24,174 individuals European non-white British ancestry UKB
PSS003064 7,520 individuals South Asian UKB
PSS003065 65,638 individuals European white British ancestry UKB
PSS000178 81,606 individuals,
46.0 % Male samples
Mean = 57.23 years
Range = [38.87, 70.97] years
European UKB