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) 3 mapped terms
  • MeSH:D007958
  • 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 PGS 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

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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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

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
PSS000290 2,314 individuals European
(French Canadian)
CARTaGENE
PSS000291 39,260 individuals European INTERVAL
PSS000911 13,989 individuals Greater Middle Eastern (Middle Eastern, North African or Persian)
(Qatari)
QBB
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
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
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
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
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
PSS000178 81,606 individuals,
46.0 % Male samples
Mean = 57.23 years
Range = [38.87, 70.97] years
European UKB