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 terms 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. Cell Genom (2022)
Basophil count basophil count 9,121
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000088/ScoringFiles/PGS000088.txt.gz
PGS000089
(baso_p)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Basophil percentage of white cells basophil percentage of leukocytes 5,248
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000089/ScoringFiles/PGS000089.txt.gz
PGS000090
(eo)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Eosinophil count eosinophil count 22,949
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000090/ScoringFiles/PGS000090.txt.gz
PGS000091
(eo_p)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Eosinophil percentage of white cells eosinophil percentage of leukocytes 24,406
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000091/ScoringFiles/PGS000091.txt.gz
PGS000097
(lymph)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Lymphocyte count lymphocyte count 24,646
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000097/ScoringFiles/PGS000097.txt.gz
PGS000098
(lymph_p)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Lymphocyte percentage of white cells lymphocyte percentage of leukocytes 22,363
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000098/ScoringFiles/PGS000098.txt.gz
PGS000102
(mono)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Monocyte count monocyte count 28,162
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000102/ScoringFiles/PGS000102.txt.gz
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
PGS000105
(neut)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Neutrophil count neutrophil count 23,864
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000105/ScoringFiles/PGS000105.txt.gz
PGS000106
(neut_p)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Neutrophil percentage of white cells neutrophil percentage of leukocytes 22,049
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000106/ScoringFiles/PGS000106.txt.gz
PGS000113
(wbc)
PGP000051 |
Xu Y et al. Cell Genom (2022)
White blood cell count leukocyte count 28,383
https://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
-
https://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
-
https://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
-
https://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
-
https://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
-
https://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
-
https://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
-
https://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
-
https://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
-
https://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
-
https://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
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000191/ScoringFiles/PGS000191.txt.gz
PGS001076
(GBE_INI30210)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Eosinophill % eosinophil percentage of leukocytes 12,563
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001076/ScoringFiles/PGS001076.txt.gz
PGS001077
(GBE_INI30200)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Neutrophill % neutrophil percentage of leukocytes 13,703
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001077/ScoringFiles/PGS001077.txt.gz
PGS001078
(GBE_INI30190)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Monocyte % monocyte percentage of leukocytes 8,762
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001078/ScoringFiles/PGS001078.txt.gz
PGS001163
(GBE_INI30130)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Monocyte count monocyte count 9,323
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001163/ScoringFiles/PGS001163.txt.gz
PGS001172
(GBE_INI30150)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Eosinophill count eosinophil count 12,579
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001172/ScoringFiles/PGS001172.txt.gz
PGS001173
(GBE_INI30140)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Neutrophill count neutrophil count 15,578
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001173/ScoringFiles/PGS001173.txt.gz
PGS001199
(GBE_INI30120)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Lymphocyte count lymphocyte count 4,212
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001199/ScoringFiles/PGS001199.txt.gz
PGS001239
(GBE_INI30000)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
White blood cell count leukocyte count 13,785
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001239/ScoringFiles/PGS001239.txt.gz
PGS001377
(GBE_INI30220)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Basophill % basophil percentage of leukocytes 3,205
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001377/ScoringFiles/PGS001377.txt.gz
PGS001378
(GBE_INI30160)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Basophill count basophil count 3,050
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001378/ScoringFiles/PGS001378.txt.gz
PGS001414
(GBE_INI30180)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Lymphocyte % lymphocyte percentage of leukocytes 15,143
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001414/ScoringFiles/PGS001414.txt.gz
PGS001949
(portability-PLR_log_eosinophil_perc)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Eosinophil percentage eosinophil percentage of leukocytes 9,236
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001949/ScoringFiles/PGS001949.txt.gz
PGS001962
(portability-PLR_log_leukocyte)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
White blood cell (leukocyte) count leukocyte count 80,228
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001962/ScoringFiles/PGS001962.txt.gz
PGS001965
(portability-PLR_log_lymphocyte)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Lymphocyte count lymphocyte count 76,535
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001965/ScoringFiles/PGS001965.txt.gz
PGS001968
(portability-PLR_log_monocyte)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Monocyte count monocyte count 46,673
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001968/ScoringFiles/PGS001968.txt.gz
PGS001969
(portability-PLR_log_neutrophil)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Neutrophil count neutrophil count 71,566
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001969/ScoringFiles/PGS001969.txt.gz
PGS001986
(portability-PLR_lymphocyte_perc)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Lymphocyte percentage lymphocyte percentage of leukocytes 66,778
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001986/ScoringFiles/PGS001986.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
PGS001997
(portability-PLR_neutrophil_perc)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Neutrophil percentage neutrophil percentage of leukocytes 65,022
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001997/ScoringFiles/PGS001997.txt.gz
PGS002167
(portability-ldpred2_log_eosinophil_perc)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Eosinophil percentage eosinophil percentage of leukocytes 593,459
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002167/ScoringFiles/PGS002167.txt.gz
PGS002180
(portability-ldpred2_log_leukocyte)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
White blood cell (leukocyte) count leukocyte count 846,337
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002180/ScoringFiles/PGS002180.txt.gz
PGS002183
(portability-ldpred2_log_lymphocyte)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Lymphocyte count lymphocyte count 814,921
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002183/ScoringFiles/PGS002183.txt.gz
PGS002186
(portability-ldpred2_log_monocyte)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Monocyte count monocyte count 641,455
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002186/ScoringFiles/PGS002186.txt.gz
PGS002187
(portability-ldpred2_log_neutrophil)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Neutrophil count neutrophil count 803,767
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002187/ScoringFiles/PGS002187.txt.gz
PGS002203
(portability-ldpred2_lymphocyte_perc)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Lymphocyte percentage lymphocyte percentage of leukocytes 775,312
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002203/ScoringFiles/PGS002203.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
PGS002214
(portability-ldpred2_neutrophil_perc)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Neutrophil percentage neutrophil percentage of leukocytes 769,542
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002214/ScoringFiles/PGS002214.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. Cell Genom (2022)
Reported Trait: Basophil count Pearson correlation coefficent (r): 0.20539 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. Cell Genom (2022)
Reported Trait: Basophil count Pearson correlation coefficent (r): 0.20489 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. Cell Genom (2022)
Reported Trait: Basophil percentage of white cells Pearson correlation coefficent (r): 0.18838 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. Cell Genom (2022)
Reported Trait: Basophil percentage of white cells Pearson correlation coefficent (r): 0.17123 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. Cell Genom (2022)
Reported Trait: Eosinophil count Pearson correlation coefficent (r): 0.40991 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. Cell Genom (2022)
Reported Trait: Eosinophil count Pearson correlation coefficent (r): 0.39315 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. Cell Genom (2022)
Reported Trait: Eosinophil percentage of white cells Pearson correlation coefficent (r): 0.39099 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. Cell Genom (2022)
Reported Trait: Eosinophil percentage of white cells Pearson correlation coefficent (r): 0.37643 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. Cell Genom (2022)
Reported Trait: Lymphocyte count Pearson correlation coefficent (r): 0.40707 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. Cell Genom (2022)
Reported Trait: Lymphocyte count Pearson correlation coefficent (r): 0.4055 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. Cell Genom (2022)
Reported Trait: Lymphocyte percentage of white cells Pearson correlation coefficent (r): 0.33396 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. Cell Genom (2022)
Reported Trait: Lymphocyte percentage of white cells Pearson correlation coefficent (r): 0.3313 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. Cell Genom (2022)
Reported Trait: Monocyte count Pearson correlation coefficent (r): 0.49849 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. Cell Genom (2022)
Reported Trait: Monocyte count Pearson correlation coefficent (r): 0.47594 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. 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)
PPM000242 PGS000105
(neut)
PSS000170|
European Ancestry|
81,358 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Neutrophil count Pearson correlation coefficent (r): 0.36386 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. Cell Genom (2022)
Reported Trait: Neutrophil count Pearson correlation coefficent (r): 0.35194 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. Cell Genom (2022)
Reported Trait: Neutrophil percentage of white cells Pearson correlation coefficent (r): 0.32169 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. Cell Genom (2022)
Reported Trait: Neutrophil percentage of white cells Pearson correlation coefficent (r): 0.31935 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. Cell Genom (2022)
Reported Trait: White blood cell count Pearson correlation coefficent (r): 0.39876 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. Cell Genom (2022)
Reported Trait: White blood cell count Pearson correlation coefficent (r): 0.38866 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
PPM008138 PGS001076
(GBE_INI30210)
PSS007006|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Eosinophill % : 0.02749 [0.01965, 0.03533]
Incremental R2 (full-covars): 0.01358
PGS R2 (no covariates): 0.01502 [0.00915, 0.02088]
age, sex, UKB array type, Genotype PCs
PPM008139 PGS001076
(GBE_INI30210)
PSS007007|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Eosinophill % : 0.0678 [0.0448, 0.0908]
Incremental R2 (full-covars): 0.03179
PGS R2 (no covariates): 0.03326 [0.01655, 0.04996]
age, sex, UKB array type, Genotype PCs
PPM008140 PGS001076
(GBE_INI30210)
PSS007008|
European Ancestry|
24,130 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Eosinophill % : 0.10724 [0.09998, 0.1145]
Incremental R2 (full-covars): 0.09158
PGS R2 (no covariates): 0.09579 [0.08884, 0.10274]
age, sex, UKB array type, Genotype PCs
PPM008141 PGS001076
(GBE_INI30210)
PSS007009|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Eosinophill % : 0.08004 [0.06852, 0.09157]
Incremental R2 (full-covars): 0.0618
PGS R2 (no covariates): 0.06258 [0.05219, 0.07296]
age, sex, UKB array type, Genotype PCs
PPM008142 PGS001076
(GBE_INI30210)
PSS007010|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Eosinophill % : 0.10364 [0.09929, 0.108]
Incremental R2 (full-covars): 0.09566
PGS R2 (no covariates): 0.09594 [0.09171, 0.10016]
age, sex, UKB array type, Genotype PCs
PPM008144 PGS001077
(GBE_INI30200)
PSS007002|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Neutrophill % : 0.07662 [0.0524, 0.10084]
Incremental R2 (full-covars): 0.04345
PGS R2 (no covariates): 0.04564 [0.02632, 0.06496]
age, sex, UKB array type, Genotype PCs
PPM008145 PGS001077
(GBE_INI30200)
PSS007003|
European Ancestry|
24,130 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Neutrophill % : 0.07418 [0.06792, 0.08044]
Incremental R2 (full-covars): 0.07151
PGS R2 (no covariates): 0.07289 [0.06667, 0.0791]
age, sex, UKB array type, Genotype PCs
PPM008143 PGS001077
(GBE_INI30200)
PSS007001|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Neutrophill % : 0.04156 [0.03206, 0.05106]
Incremental R2 (full-covars): 0.01344
PGS R2 (no covariates): 0.01383 [0.00819, 0.01946]
age, sex, UKB array type, Genotype PCs
PPM008146 PGS001077
(GBE_INI30200)
PSS007004|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Neutrophill % : 0.05036 [0.04093, 0.0598]
Incremental R2 (full-covars): 0.04554
PGS R2 (no covariates): 0.04441 [0.03549, 0.05333]
age, sex, UKB array type, Genotype PCs
PPM008147 PGS001077
(GBE_INI30200)
PSS007005|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Neutrophill % : 0.08175 [0.07779, 0.08572]
Incremental R2 (full-covars): 0.07935
PGS R2 (no covariates): 0.07934 [0.07542, 0.08325]
age, sex, UKB array type, Genotype 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
PPM008541 PGS001163
(GBE_INI30130)
PSS006975|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte count : 0.11973 [0.11513, 0.12432]
Incremental R2 (full-covars): 0.081
PGS R2 (no covariates): 0.08138 [0.07742, 0.08533]
age, sex, UKB array type, Genotype PCs
PPM008537 PGS001163
(GBE_INI30130)
PSS006971|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte count : 0.02543 [0.01787, 0.03298]
Incremental R2 (full-covars): 0.01339
PGS R2 (no covariates): 0.01659 [0.01043, 0.02274]
age, sex, UKB array type, Genotype PCs
PPM008538 PGS001163
(GBE_INI30130)
PSS006972|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte count : 0.10427 [0.07686, 0.13168]
Incremental R2 (full-covars): 0.03555
PGS R2 (no covariates): 0.04025 [0.022, 0.0585]
age, sex, UKB array type, Genotype PCs
PPM008539 PGS001163
(GBE_INI30130)
PSS006973|
European Ancestry|
24,129 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte count : 0.12792 [0.12017, 0.13567]
Incremental R2 (full-covars): 0.0805
PGS R2 (no covariates): 0.08361 [0.07703, 0.09019]
age, sex, UKB array type, Genotype PCs
PPM008540 PGS001163
(GBE_INI30130)
PSS006974|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte count : 0.09808 [0.08557, 0.11059]
Incremental R2 (full-covars): 0.05583
PGS R2 (no covariates): 0.05525 [0.04542, 0.06508]
age, sex, UKB array type, Genotype PCs
PPM008570 PGS001172
(GBE_INI30150)
PSS006981|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Eosinophill count : 0.02165 [0.01465, 0.02865]
Incremental R2 (full-covars): 0.01273
PGS R2 (no covariates): 0.01483 [0.009, 0.02067]
age, sex, UKB array type, Genotype PCs
PPM008571 PGS001172
(GBE_INI30150)
PSS006982|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Eosinophill count : 0.07017 [0.04683, 0.09352]
Incremental R2 (full-covars): 0.02406
PGS R2 (no covariates): 0.02686 [0.01175, 0.04197]
age, sex, UKB array type, Genotype PCs
PPM008572 PGS001172
(GBE_INI30150)
PSS006983|
European Ancestry|
24,129 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Eosinophill count : 0.10592 [0.09869, 0.11315]
Incremental R2 (full-covars): 0.08944
PGS R2 (no covariates): 0.0939 [0.08701, 0.1008]
age, sex, UKB array type, Genotype PCs
PPM008573 PGS001172
(GBE_INI30150)
PSS006984|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Eosinophill count : 0.06486 [0.05432, 0.07541]
Incremental R2 (full-covars): 0.05229
PGS R2 (no covariates): 0.05348 [0.04379, 0.06318]
age, sex, UKB array type, Genotype PCs
PPM008574 PGS001172
(GBE_INI30150)
PSS006985|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Eosinophill count : 0.10264 [0.0983, 0.10698]
Incremental R2 (full-covars): 0.09343
PGS R2 (no covariates): 0.09398 [0.08978, 0.09817]
age, sex, UKB array type, Genotype PCs
PPM008575 PGS001173
(GBE_INI30140)
PSS006976|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Neutrophill count : 0.06347 [0.052, 0.07494]
Incremental R2 (full-covars): 0.00644
PGS R2 (no covariates): 0.01221 [0.00691, 0.01752]
age, sex, UKB array type, Genotype PCs
PPM008576 PGS001173
(GBE_INI30140)
PSS006977|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Neutrophill count : 0.05754 [0.03611, 0.07896]
Incremental R2 (full-covars): 0.037
PGS R2 (no covariates): 0.0354 [0.0182, 0.0526]
age, sex, UKB array type, Genotype PCs
PPM008577 PGS001173
(GBE_INI30140)
PSS006978|
European Ancestry|
24,129 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Neutrophill count : 0.08794 [0.08123, 0.09466]
Incremental R2 (full-covars): 0.07899
PGS R2 (no covariates): 0.08282 [0.07627, 0.08938]
age, sex, UKB array type, Genotype PCs
PPM008578 PGS001173
(GBE_INI30140)
PSS006979|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Neutrophill count : 0.07553 [0.06428, 0.08677]
Incremental R2 (full-covars): 0.0671
PGS R2 (no covariates): 0.06762 [0.05688, 0.07835]
age, sex, UKB array type, Genotype PCs
PPM008579 PGS001173
(GBE_INI30140)
PSS006980|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Neutrophill count : 0.09385 [0.08966, 0.09804]
Incremental R2 (full-covars): 0.08871
PGS R2 (no covariates): 0.08935 [0.08524, 0.09346]
age, sex, UKB array type, Genotype PCs
PPM008614 PGS001199
(GBE_INI30120)
PSS006966|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Lymphocyte count : 0.01509 [0.00921, 0.02097]
Incremental R2 (full-covars): 0.0048
PGS R2 (no covariates): 0.00655 [0.00264, 0.01046]
age, sex, UKB array type, Genotype PCs
PPM008615 PGS001199
(GBE_INI30120)
PSS006967|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Lymphocyte count : 0.07751 [0.05317, 0.10185]
Incremental R2 (full-covars): 0.02783
PGS R2 (no covariates): 0.0308 [0.01468, 0.04692]
age, sex, UKB array type, Genotype PCs
PPM008616 PGS001199
(GBE_INI30120)
PSS006968|
European Ancestry|
24,129 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Lymphocyte count : 0.04047 [0.03568, 0.04526]
Incremental R2 (full-covars): 0.03437
PGS R2 (no covariates): 0.03502 [0.03053, 0.0395]
age, sex, UKB array type, Genotype PCs
PPM008617 PGS001199
(GBE_INI30120)
PSS006969|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Lymphocyte count : 0.04041 [0.03187, 0.04896]
Incremental R2 (full-covars): 0.02891
PGS R2 (no covariates): 0.02928 [0.02192, 0.03663]
age, sex, UKB array type, Genotype PCs
PPM008618 PGS001199
(GBE_INI30120)
PSS006970|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Lymphocyte count : 0.02566 [0.0233, 0.02801]
Incremental R2 (full-covars): 0.02051
PGS R2 (no covariates): 0.02072 [0.01859, 0.02285]
age, sex, UKB array type, Genotype PCs
PPM008704 PGS001239
(GBE_INI30000)
PSS006891|
African Ancestry|
6,139 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: White blood cell count : 0.05282 [0.04224, 0.0634]
Incremental R2 (full-covars): 0.00963
PGS R2 (no covariates): 0.01451 [0.00874, 0.02028]
age, sex, UKB array type, Genotype PCs
PPM008705 PGS001239
(GBE_INI30000)
PSS006892|
East Asian Ancestry|
1,655 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: White blood cell count : 0.07596 [0.05182, 0.10009]
Incremental R2 (full-covars): 0.0496
PGS R2 (no covariates): 0.05069 [0.03044, 0.07095]
age, sex, UKB array type, Genotype PCs
PPM008706 PGS001239
(GBE_INI30000)
PSS006893|
European Ancestry|
24,174 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: White blood cell count : 0.08839 [0.08166, 0.09513]
Incremental R2 (full-covars): 0.07763
PGS R2 (no covariates): 0.08212 [0.07559, 0.08865]
age, sex, UKB array type, Genotype PCs
PPM008707 PGS001239
(GBE_INI30000)
PSS006894|
South Asian Ancestry|
7,520 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: White blood cell count : 0.07166 [0.06066, 0.08267]
Incremental R2 (full-covars): 0.06404
PGS R2 (no covariates): 0.06438 [0.05387, 0.07489]
age, sex, UKB array type, Genotype PCs
PPM008708 PGS001239
(GBE_INI30000)
PSS006895|
European Ancestry|
65,638 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: White blood cell count : 0.0777 [0.07382, 0.08158]
Incremental R2 (full-covars): 0.07177
PGS R2 (no covariates): 0.07264 [0.06887, 0.07641]
age, sex, UKB array type, Genotype PCs
PPM007058 PGS001377
(GBE_INI30220)
PSS007014|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Basophill % : 0.01668 [0.01106, 0.0223]
Incremental R2 (full-covars): 0.01178
PGS R2 (no covariates): 0.01253 [0.00763, 0.01742]
age, sex, UKB array type, Genotype PCs
PPM007059 PGS001377
(GBE_INI30220)
PSS007015|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Basophill % : 0.01674 [0.01482, 0.01866]
Incremental R2 (full-covars): 0.01485
PGS R2 (no covariates): 0.01504 [0.01321, 0.01686]
age, sex, UKB array type, Genotype PCs
PPM007055 PGS001377
(GBE_INI30220)
PSS007011|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Basophill % : 0.00639 [0.00253, 0.01025]
Incremental R2 (full-covars): 0.00238
PGS R2 (no covariates): 0.00249 [0.00007, 0.00491]
age, sex, UKB array type, Genotype PCs
PPM007056 PGS001377
(GBE_INI30220)
PSS007012|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Basophill % : 0.01523 [0.00371, 0.02675]
Incremental R2 (full-covars): 0.00867
PGS R2 (no covariates): 0.00896 [0.00007, 0.01786]
age, sex, UKB array type, Genotype PCs
PPM007057 PGS001377
(GBE_INI30220)
PSS007013|
European Ancestry|
24,130 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Basophill % : 0.01922 [0.01584, 0.0226]
Incremental R2 (full-covars): 0.01406
PGS R2 (no covariates): 0.0152 [0.01219, 0.01822]
age, sex, UKB array type, Genotype PCs
PPM007045 PGS001378
(GBE_INI30160)
PSS006986|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Basophill count : 0.0091 [0.0045, 0.01369]
Incremental R2 (full-covars): 0.00051
PGS R2 (no covariates): 0.00175 [-0.00028, 0.00379]
age, sex, UKB array type, Genotype PCs
PPM007046 PGS001378
(GBE_INI30160)
PSS006987|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Basophill count : 0.01746 [0.00516, 0.02976]
Incremental R2 (full-covars): 0.00946
PGS R2 (no covariates): 0.00963 [0.00042, 0.01883]
age, sex, UKB array type, Genotype PCs
PPM007047 PGS001378
(GBE_INI30160)
PSS006988|
European Ancestry|
24,129 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Basophill count : 0.01903 [0.01567, 0.0224]
Incremental R2 (full-covars): 0.01496
PGS R2 (no covariates): 0.01602 [0.01293, 0.01911]
age, sex, UKB array type, Genotype PCs
PPM007048 PGS001378
(GBE_INI30160)
PSS006989|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Basophill count : 0.01814 [0.01228, 0.02399]
Incremental R2 (full-covars): 0.01206
PGS R2 (no covariates): 0.01266 [0.00775, 0.01758]
age, sex, UKB array type, Genotype PCs
PPM007049 PGS001378
(GBE_INI30160)
PSS006990|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Basophill count : 0.01717 [0.01523, 0.01911]
Incremental R2 (full-covars): 0.01451
PGS R2 (no covariates): 0.01475 [0.01294, 0.01655]
age, sex, UKB array type, Genotype PCs
PPM007054 PGS001414
(GBE_INI30180)
PSS006995|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Lymphocyte % : 0.10838 [0.10395, 0.11281]
Incremental R2 (full-covars): 0.08842
PGS R2 (no covariates): 0.08835 [0.08426, 0.09245]
age, sex, UKB array type, Genotype PCs
PPM007050 PGS001414
(GBE_INI30180)
PSS006991|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Lymphocyte % : 0.03982 [0.03051, 0.04913]
Incremental R2 (full-covars): 0.01769
PGS R2 (no covariates): 0.02018 [0.01341, 0.02694]
age, sex, UKB array type, Genotype PCs
PPM007051 PGS001414
(GBE_INI30180)
PSS006992|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Lymphocyte % : 0.08102 [0.05624, 0.10581]
Incremental R2 (full-covars): 0.04011
PGS R2 (no covariates): 0.03886 [0.02091, 0.05682]
age, sex, UKB array type, Genotype PCs
PPM007052 PGS001414
(GBE_INI30180)
PSS006993|
European Ancestry|
24,130 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Lymphocyte % : 0.09934 [0.09229, 0.10639]
Incremental R2 (full-covars): 0.08221
PGS R2 (no covariates): 0.084 [0.0774, 0.09059]
age, sex, UKB array type, Genotype PCs
PPM007053 PGS001414
(GBE_INI30180)
PSS006994|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Lymphocyte % : 0.05905 [0.04893, 0.06918]
Incremental R2 (full-covars): 0.05259
PGS R2 (no covariates): 0.05171 [0.04216, 0.06126]
age, sex, UKB array type, Genotype PCs
PPM010467 PGS001949
(portability-PLR_log_eosinophil_perc)
PSS009442|
European Ancestry|
11,529 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Eosinophil percentage Partial Correlation (partial-r): 0.2072 [0.1897, 0.2246] sex, age, birth date, deprivation index, 16 PCs
PPM010468 PGS001949
(portability-PLR_log_eosinophil_perc)
PSS009216|
European Ancestry|
2,282 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Eosinophil percentage Partial Correlation (partial-r): 0.2342 [0.1949, 0.2728] sex, age, birth date, deprivation index, 16 PCs
PPM010469 PGS001949
(portability-PLR_log_eosinophil_perc)
PSS008770|
European Ancestry|
3,365 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Eosinophil percentage Partial Correlation (partial-r): 0.1724 [0.1393, 0.2051] sex, age, birth date, deprivation index, 16 PCs
PPM010470 PGS001949
(portability-PLR_log_eosinophil_perc)
PSS008544|
Greater Middle Eastern Ancestry|
676 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Eosinophil percentage Partial Correlation (partial-r): 0.1901 [0.1152, 0.2628] sex, age, birth date, deprivation index, 16 PCs
PPM010471 PGS001949
(portability-PLR_log_eosinophil_perc)
PSS008322|
South Asian Ancestry|
4,224 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Eosinophil percentage Partial Correlation (partial-r): 0.1678 [0.1382, 0.197] sex, age, birth date, deprivation index, 16 PCs
PPM010472 PGS001949
(portability-PLR_log_eosinophil_perc)
PSS008099|
East Asian Ancestry|
983 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Eosinophil percentage Partial Correlation (partial-r): 0.1291 [0.0665, 0.1907] sex, age, birth date, deprivation index, 16 PCs
PPM010473 PGS001949
(portability-PLR_log_eosinophil_perc)
PSS007886|
African Ancestry|
1,291 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Eosinophil percentage Partial Correlation (partial-r): 0.0617 [0.0067, 0.1162] sex, age, birth date, deprivation index, 16 PCs
PPM010474 PGS001949
(portability-PLR_log_eosinophil_perc)
PSS008990|
African Ancestry|
2,100 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Eosinophil percentage Partial Correlation (partial-r): 0.0967 [0.054, 0.1391] sex, age, birth date, deprivation index, 16 PCs
PPM010571 PGS001962
(portability-PLR_log_leukocyte)
PSS009451|
European Ancestry|
19,419 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: White blood cell (leukocyte) count Partial Correlation (partial-r): 0.3641 [0.3518, 0.3762] sex, age, birth date, deprivation index, 16 PCs
PPM010572 PGS001962
(portability-PLR_log_leukocyte)
PSS009225|
European Ancestry|
4,002 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: White blood cell (leukocyte) count Partial Correlation (partial-r): 0.3304 [0.3024, 0.3578] sex, age, birth date, deprivation index, 16 PCs
PPM010574 PGS001962
(portability-PLR_log_leukocyte)
PSS008553|
Greater Middle Eastern Ancestry|
1,153 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: White blood cell (leukocyte) count Partial Correlation (partial-r): 0.2724 [0.2177, 0.3255] sex, age, birth date, deprivation index, 16 PCs
PPM010575 PGS001962
(portability-PLR_log_leukocyte)
PSS008331|
South Asian Ancestry|
6,078 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: White blood cell (leukocyte) count Partial Correlation (partial-r): 0.3155 [0.2926, 0.338] sex, age, birth date, deprivation index, 16 PCs
PPM010576 PGS001962
(portability-PLR_log_leukocyte)
PSS008108|
East Asian Ancestry|
1,762 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: White blood cell (leukocyte) count Partial Correlation (partial-r): 0.2467 [0.2021, 0.2903] sex, age, birth date, deprivation index, 16 PCs
PPM010577 PGS001962
(portability-PLR_log_leukocyte)
PSS007895|
African Ancestry|
2,343 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: White blood cell (leukocyte) count Partial Correlation (partial-r): 0.1956 [0.1562, 0.2344] sex, age, birth date, deprivation index, 16 PCs
PPM010578 PGS001962
(portability-PLR_log_leukocyte)
PSS008999|
African Ancestry|
3,711 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: White blood cell (leukocyte) count Partial Correlation (partial-r): 0.1532 [0.1215, 0.1845] sex, age, birth date, deprivation index, 16 PCs
PPM010573 PGS001962
(portability-PLR_log_leukocyte)
PSS008779|
European Ancestry|
6,437 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: White blood cell (leukocyte) count Partial Correlation (partial-r): 0.3374 [0.3155, 0.3589] sex, age, birth date, deprivation index, 16 PCs
PPM010595 PGS001965
(portability-PLR_log_lymphocyte)
PSS009454|
European Ancestry|
19,387 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte count Partial Correlation (partial-r): 0.3636 [0.3514, 0.3758] sex, age, birth date, deprivation index, 16 PCs
PPM010596 PGS001965
(portability-PLR_log_lymphocyte)
PSS009228|
European Ancestry|
3,993 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte count Partial Correlation (partial-r): 0.3456 [0.3179, 0.3727] sex, age, birth date, deprivation index, 16 PCs
PPM010597 PGS001965
(portability-PLR_log_lymphocyte)
PSS008782|
European Ancestry|
6,421 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte count Partial Correlation (partial-r): 0.3335 [0.3115, 0.3551] sex, age, birth date, deprivation index, 16 PCs
PPM010598 PGS001965
(portability-PLR_log_lymphocyte)
PSS008556|
Greater Middle Eastern Ancestry|
1,150 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte count Partial Correlation (partial-r): 0.3153 [0.2618, 0.3669] sex, age, birth date, deprivation index, 16 PCs
PPM010599 PGS001965
(portability-PLR_log_lymphocyte)
PSS008334|
South Asian Ancestry|
6,058 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte count Partial Correlation (partial-r): 0.301 [0.2779, 0.3238] sex, age, birth date, deprivation index, 16 PCs
PPM010600 PGS001965
(portability-PLR_log_lymphocyte)
PSS008111|
East Asian Ancestry|
1,761 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte count Partial Correlation (partial-r): 0.2717 [0.2277, 0.3147] sex, age, birth date, deprivation index, 16 PCs
PPM010602 PGS001965
(portability-PLR_log_lymphocyte)
PSS009002|
African Ancestry|
3,699 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte count Partial Correlation (partial-r): 0.1702 [0.1386, 0.2014] sex, age, birth date, deprivation index, 16 PCs
PPM010601 PGS001965
(portability-PLR_log_lymphocyte)
PSS007898|
African Ancestry|
2,337 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte count Partial Correlation (partial-r): 0.167 [0.1271, 0.2063] sex, age, birth date, deprivation index, 16 PCs
PPM010619 PGS001968
(portability-PLR_log_monocyte)
PSS009457|
European Ancestry|
19,384 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte count Partial Correlation (partial-r): 0.4056 [0.3937, 0.4173] sex, age, birth date, deprivation index, 16 PCs
PPM010620 PGS001968
(portability-PLR_log_monocyte)
PSS009231|
European Ancestry|
3,993 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte count Partial Correlation (partial-r): 0.3829 [0.3561, 0.4091] sex, age, birth date, deprivation index, 16 PCs
PPM010621 PGS001968
(portability-PLR_log_monocyte)
PSS008785|
European Ancestry|
6,423 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte count Partial Correlation (partial-r): 0.3731 [0.3518, 0.394] sex, age, birth date, deprivation index, 16 PCs
PPM010622 PGS001968
(portability-PLR_log_monocyte)
PSS008559|
Greater Middle Eastern Ancestry|
1,151 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte count Partial Correlation (partial-r): 0.3791 [0.328, 0.4279] sex, age, birth date, deprivation index, 16 PCs
PPM010623 PGS001968
(portability-PLR_log_monocyte)
PSS008337|
South Asian Ancestry|
6,060 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte count Partial Correlation (partial-r): 0.3366 [0.314, 0.3588] sex, age, birth date, deprivation index, 16 PCs
PPM010624 PGS001968
(portability-PLR_log_monocyte)
PSS008114|
East Asian Ancestry|
1,760 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte count Partial Correlation (partial-r): 0.2771 [0.2332, 0.3199] sex, age, birth date, deprivation index, 16 PCs
PPM010625 PGS001968
(portability-PLR_log_monocyte)
PSS007901|
African Ancestry|
2,336 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte count Partial Correlation (partial-r): 0.2104 [0.1711, 0.249] sex, age, birth date, deprivation index, 16 PCs
PPM010626 PGS001968
(portability-PLR_log_monocyte)
PSS009005|
African Ancestry|
3,699 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte count Partial Correlation (partial-r): 0.1892 [0.1579, 0.2202] sex, age, birth date, deprivation index, 16 PCs
PPM010629 PGS001969
(portability-PLR_log_neutrophil)
PSS008786|
European Ancestry|
6,419 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil count Partial Correlation (partial-r): 0.3157 [0.2934, 0.3376] sex, age, birth date, deprivation index, 16 PCs
PPM010627 PGS001969
(portability-PLR_log_neutrophil)
PSS009458|
European Ancestry|
19,382 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil count Partial Correlation (partial-r): 0.3305 [0.3179, 0.343] sex, age, birth date, deprivation index, 16 PCs
PPM010628 PGS001969
(portability-PLR_log_neutrophil)
PSS009232|
European Ancestry|
3,992 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil count Partial Correlation (partial-r): 0.3137 [0.2853, 0.3414] sex, age, birth date, deprivation index, 16 PCs
PPM010631 PGS001969
(portability-PLR_log_neutrophil)
PSS008338|
South Asian Ancestry|
6,060 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil count Partial Correlation (partial-r): 0.2983 [0.2751, 0.3211] sex, age, birth date, deprivation index, 16 PCs
PPM010632 PGS001969
(portability-PLR_log_neutrophil)
PSS008115|
East Asian Ancestry|
1,761 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil count Partial Correlation (partial-r): 0.2374 [0.1926, 0.2813] sex, age, birth date, deprivation index, 16 PCs
PPM010633 PGS001969
(portability-PLR_log_neutrophil)
PSS007902|
African Ancestry|
2,336 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil count Partial Correlation (partial-r): 0.1856 [0.146, 0.2246] sex, age, birth date, deprivation index, 16 PCs
PPM010634 PGS001969
(portability-PLR_log_neutrophil)
PSS009006|
African Ancestry|
3,697 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil count Partial Correlation (partial-r): 0.1384 [0.1066, 0.17] sex, age, birth date, deprivation index, 16 PCs
PPM010630 PGS001969
(portability-PLR_log_neutrophil)
PSS008560|
Greater Middle Eastern Ancestry|
1,149 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil count Partial Correlation (partial-r): 0.267 [0.212, 0.3204] sex, age, birth date, deprivation index, 16 PCs
PPM010763 PGS001986
(portability-PLR_lymphocyte_perc)
PSS009473|
European Ancestry|
19,383 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte percentage Partial Correlation (partial-r): 0.314 [0.3012, 0.3266] sex, age, birth date, deprivation index, 16 PCs
PPM010764 PGS001986
(portability-PLR_lymphocyte_perc)
PSS009247|
European Ancestry|
3,992 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte percentage Partial Correlation (partial-r): 0.2972 [0.2686, 0.3253] sex, age, birth date, deprivation index, 16 PCs
PPM010765 PGS001986
(portability-PLR_lymphocyte_perc)
PSS008801|
European Ancestry|
6,417 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte percentage Partial Correlation (partial-r): 0.3022 [0.2798, 0.3243] sex, age, birth date, deprivation index, 16 PCs
PPM010766 PGS001986
(portability-PLR_lymphocyte_perc)
PSS008575|
Greater Middle Eastern Ancestry|
1,150 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte percentage Partial Correlation (partial-r): 0.2825 [0.228, 0.3353] sex, age, birth date, deprivation index, 16 PCs
PPM010767 PGS001986
(portability-PLR_lymphocyte_perc)
PSS008353|
South Asian Ancestry|
6,056 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte percentage Partial Correlation (partial-r): 0.2722 [0.2487, 0.2954] sex, age, birth date, deprivation index, 16 PCs
PPM010768 PGS001986
(portability-PLR_lymphocyte_perc)
PSS008130|
East Asian Ancestry|
1,761 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte percentage Partial Correlation (partial-r): 0.2475 [0.2028, 0.291] sex, age, birth date, deprivation index, 16 PCs
PPM010769 PGS001986
(portability-PLR_lymphocyte_perc)
PSS007917|
African Ancestry|
2,337 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte percentage Partial Correlation (partial-r): 0.1708 [0.131, 0.21] sex, age, birth date, deprivation index, 16 PCs
PPM010770 PGS001986
(portability-PLR_lymphocyte_perc)
PSS009021|
African Ancestry|
3,695 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte percentage Partial Correlation (partial-r): 0.1726 [0.1411, 0.2038] sex, age, birth date, deprivation index, 16 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
PPM010852 PGS001997
(portability-PLR_neutrophil_perc)
PSS009254|
European Ancestry|
3,988 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil percentage Partial Correlation (partial-r): 0.2971 [0.2684, 0.3252] sex, age, birth date, deprivation index, 16 PCs
PPM010853 PGS001997
(portability-PLR_neutrophil_perc)
PSS008808|
European Ancestry|
6,413 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil percentage Partial Correlation (partial-r): 0.2972 [0.2747, 0.3194] sex, age, birth date, deprivation index, 16 PCs
PPM010854 PGS001997
(portability-PLR_neutrophil_perc)
PSS008582|
Greater Middle Eastern Ancestry|
1,147 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil percentage Partial Correlation (partial-r): 0.2921 [0.2377, 0.3446] sex, age, birth date, deprivation index, 16 PCs
PPM010855 PGS001997
(portability-PLR_neutrophil_perc)
PSS008360|
South Asian Ancestry|
6,055 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil percentage Partial Correlation (partial-r): 0.2672 [0.2436, 0.2904] sex, age, birth date, deprivation index, 16 PCs
PPM010856 PGS001997
(portability-PLR_neutrophil_perc)
PSS008137|
East Asian Ancestry|
1,760 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil percentage Partial Correlation (partial-r): 0.2332 [0.1882, 0.2771] sex, age, birth date, deprivation index, 16 PCs
PPM010857 PGS001997
(portability-PLR_neutrophil_perc)
PSS007924|
African Ancestry|
2,334 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil percentage Partial Correlation (partial-r): 0.166 [0.1261, 0.2054] sex, age, birth date, deprivation index, 16 PCs
PPM010858 PGS001997
(portability-PLR_neutrophil_perc)
PSS009028|
African Ancestry|
3,681 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil percentage Partial Correlation (partial-r): 0.1587 [0.1269, 0.1901] sex, age, birth date, deprivation index, 16 PCs
PPM010851 PGS001997
(portability-PLR_neutrophil_perc)
PSS009480|
European Ancestry|
19,359 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil percentage Partial Correlation (partial-r): 0.3059 [0.293, 0.3186] sex, age, birth date, deprivation index, 16 PCs
PPM012184 PGS002167
(portability-ldpred2_log_eosinophil_perc)
PSS009216|
European Ancestry|
2,282 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Eosinophil percentage Partial Correlation (partial-r): 0.2199 [0.1803, 0.2587] sex, age, birth date, deprivation index, 16 PCs
PPM012185 PGS002167
(portability-ldpred2_log_eosinophil_perc)
PSS008770|
European Ancestry|
3,365 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Eosinophil percentage Partial Correlation (partial-r): 0.1751 [0.142, 0.2077] sex, age, birth date, deprivation index, 16 PCs
PPM012186 PGS002167
(portability-ldpred2_log_eosinophil_perc)
PSS008544|
Greater Middle Eastern Ancestry|
676 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Eosinophil percentage Partial Correlation (partial-r): 0.18 [0.1049, 0.253] sex, age, birth date, deprivation index, 16 PCs
PPM012187 PGS002167
(portability-ldpred2_log_eosinophil_perc)
PSS008322|
South Asian Ancestry|
4,224 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Eosinophil percentage Partial Correlation (partial-r): 0.1683 [0.1388, 0.1976] sex, age, birth date, deprivation index, 16 PCs
PPM012188 PGS002167
(portability-ldpred2_log_eosinophil_perc)
PSS008099|
East Asian Ancestry|
983 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Eosinophil percentage Partial Correlation (partial-r): 0.1159 [0.0531, 0.1778] sex, age, birth date, deprivation index, 16 PCs
PPM012189 PGS002167
(portability-ldpred2_log_eosinophil_perc)
PSS007886|
African Ancestry|
1,291 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Eosinophil percentage Partial Correlation (partial-r): 0.0644 [0.0095, 0.119] sex, age, birth date, deprivation index, 16 PCs
PPM012190 PGS002167
(portability-ldpred2_log_eosinophil_perc)
PSS008990|
African Ancestry|
2,100 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Eosinophil percentage Partial Correlation (partial-r): 0.091 [0.0482, 0.1335] sex, age, birth date, deprivation index, 16 PCs
PPM012183 PGS002167
(portability-ldpred2_log_eosinophil_perc)
PSS009442|
European Ancestry|
11,529 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Eosinophil percentage Partial Correlation (partial-r): 0.2043 [0.1867, 0.2217] sex, age, birth date, deprivation index, 16 PCs
PPM012287 PGS002180
(portability-ldpred2_log_leukocyte)
PSS009451|
European Ancestry|
19,419 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: White blood cell (leukocyte) count Partial Correlation (partial-r): 0.3596 [0.3473, 0.3718] sex, age, birth date, deprivation index, 16 PCs
PPM012288 PGS002180
(portability-ldpred2_log_leukocyte)
PSS009225|
European Ancestry|
4,002 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: White blood cell (leukocyte) count Partial Correlation (partial-r): 0.3332 [0.3053, 0.3605] sex, age, birth date, deprivation index, 16 PCs
PPM012289 PGS002180
(portability-ldpred2_log_leukocyte)
PSS008779|
European Ancestry|
6,437 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: White blood cell (leukocyte) count Partial Correlation (partial-r): 0.3368 [0.3149, 0.3583] sex, age, birth date, deprivation index, 16 PCs
PPM012290 PGS002180
(portability-ldpred2_log_leukocyte)
PSS008553|
Greater Middle Eastern Ancestry|
1,153 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: White blood cell (leukocyte) count Partial Correlation (partial-r): 0.2706 [0.2158, 0.3237] sex, age, birth date, deprivation index, 16 PCs
PPM012291 PGS002180
(portability-ldpred2_log_leukocyte)
PSS008331|
South Asian Ancestry|
6,078 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: White blood cell (leukocyte) count Partial Correlation (partial-r): 0.3147 [0.2919, 0.3372] sex, age, birth date, deprivation index, 16 PCs
PPM012292 PGS002180
(portability-ldpred2_log_leukocyte)
PSS008108|
East Asian Ancestry|
1,762 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: White blood cell (leukocyte) count Partial Correlation (partial-r): 0.2454 [0.2007, 0.289] sex, age, birth date, deprivation index, 16 PCs
PPM012293 PGS002180
(portability-ldpred2_log_leukocyte)
PSS007895|
African Ancestry|
2,343 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: White blood cell (leukocyte) count Partial Correlation (partial-r): 0.1863 [0.1467, 0.2253] sex, age, birth date, deprivation index, 16 PCs
PPM012294 PGS002180
(portability-ldpred2_log_leukocyte)
PSS008999|
African Ancestry|
3,711 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: White blood cell (leukocyte) count Partial Correlation (partial-r): 0.1563 [0.1247, 0.1876] sex, age, birth date, deprivation index, 16 PCs
PPM012311 PGS002183
(portability-ldpred2_log_lymphocyte)
PSS009454|
European Ancestry|
19,387 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte count Partial Correlation (partial-r): 0.3574 [0.3451, 0.3697] sex, age, birth date, deprivation index, 16 PCs
PPM012312 PGS002183
(portability-ldpred2_log_lymphocyte)
PSS009228|
European Ancestry|
3,993 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte count Partial Correlation (partial-r): 0.3369 [0.3091, 0.3642] sex, age, birth date, deprivation index, 16 PCs
PPM012314 PGS002183
(portability-ldpred2_log_lymphocyte)
PSS008556|
Greater Middle Eastern Ancestry|
1,150 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte count Partial Correlation (partial-r): 0.2968 [0.2427, 0.3491] sex, age, birth date, deprivation index, 16 PCs
PPM012315 PGS002183
(portability-ldpred2_log_lymphocyte)
PSS008334|
South Asian Ancestry|
6,058 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte count Partial Correlation (partial-r): 0.2945 [0.2713, 0.3173] sex, age, birth date, deprivation index, 16 PCs
PPM012316 PGS002183
(portability-ldpred2_log_lymphocyte)
PSS008111|
East Asian Ancestry|
1,761 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte count Partial Correlation (partial-r): 0.2745 [0.2305, 0.3174] sex, age, birth date, deprivation index, 16 PCs
PPM012317 PGS002183
(portability-ldpred2_log_lymphocyte)
PSS007898|
African Ancestry|
2,337 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte count Partial Correlation (partial-r): 0.1609 [0.121, 0.2003] sex, age, birth date, deprivation index, 16 PCs
PPM012318 PGS002183
(portability-ldpred2_log_lymphocyte)
PSS009002|
African Ancestry|
3,699 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte count Partial Correlation (partial-r): 0.1618 [0.1302, 0.1931] sex, age, birth date, deprivation index, 16 PCs
PPM012313 PGS002183
(portability-ldpred2_log_lymphocyte)
PSS008782|
European Ancestry|
6,421 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte count Partial Correlation (partial-r): 0.3319 [0.31, 0.3536] sex, age, birth date, deprivation index, 16 PCs
PPM012335 PGS002186
(portability-ldpred2_log_monocyte)
PSS009457|
European Ancestry|
19,384 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte count Partial Correlation (partial-r): 0.4013 [0.3894, 0.4131] sex, age, birth date, deprivation index, 16 PCs
PPM012336 PGS002186
(portability-ldpred2_log_monocyte)
PSS009231|
European Ancestry|
3,993 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte count Partial Correlation (partial-r): 0.3828 [0.356, 0.4091] sex, age, birth date, deprivation index, 16 PCs
PPM012338 PGS002186
(portability-ldpred2_log_monocyte)
PSS008559|
Greater Middle Eastern Ancestry|
1,151 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte count Partial Correlation (partial-r): 0.3913 [0.3408, 0.4395] sex, age, birth date, deprivation index, 16 PCs
PPM012339 PGS002186
(portability-ldpred2_log_monocyte)
PSS008337|
South Asian Ancestry|
6,060 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte count Partial Correlation (partial-r): 0.326 [0.3033, 0.3484] sex, age, birth date, deprivation index, 16 PCs
PPM012340 PGS002186
(portability-ldpred2_log_monocyte)
PSS008114|
East Asian Ancestry|
1,760 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte count Partial Correlation (partial-r): 0.2727 [0.2287, 0.3157] sex, age, birth date, deprivation index, 16 PCs
PPM012341 PGS002186
(portability-ldpred2_log_monocyte)
PSS007901|
African Ancestry|
2,336 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte count Partial Correlation (partial-r): 0.2009 [0.1615, 0.2396] sex, age, birth date, deprivation index, 16 PCs
PPM012342 PGS002186
(portability-ldpred2_log_monocyte)
PSS009005|
African Ancestry|
3,699 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte count Partial Correlation (partial-r): 0.1818 [0.1503, 0.2128] sex, age, birth date, deprivation index, 16 PCs
PPM012337 PGS002186
(portability-ldpred2_log_monocyte)
PSS008785|
European Ancestry|
6,423 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Monocyte count Partial Correlation (partial-r): 0.3692 [0.3478, 0.3901] sex, age, birth date, deprivation index, 16 PCs
PPM012343 PGS002187
(portability-ldpred2_log_neutrophil)
PSS009458|
European Ancestry|
19,382 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil count Partial Correlation (partial-r): 0.3263 [0.3137, 0.3388] sex, age, birth date, deprivation index, 16 PCs
PPM012344 PGS002187
(portability-ldpred2_log_neutrophil)
PSS009232|
European Ancestry|
3,992 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil count Partial Correlation (partial-r): 0.3117 [0.2834, 0.3395] sex, age, birth date, deprivation index, 16 PCs
PPM012345 PGS002187
(portability-ldpred2_log_neutrophil)
PSS008786|
European Ancestry|
6,419 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil count Partial Correlation (partial-r): 0.3147 [0.2924, 0.3366] sex, age, birth date, deprivation index, 16 PCs
PPM012346 PGS002187
(portability-ldpred2_log_neutrophil)
PSS008560|
Greater Middle Eastern Ancestry|
1,149 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil count Partial Correlation (partial-r): 0.2709 [0.2159, 0.3241] sex, age, birth date, deprivation index, 16 PCs
PPM012347 PGS002187
(portability-ldpred2_log_neutrophil)
PSS008338|
South Asian Ancestry|
6,060 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil count Partial Correlation (partial-r): 0.3015 [0.2784, 0.3242] sex, age, birth date, deprivation index, 16 PCs
PPM012348 PGS002187
(portability-ldpred2_log_neutrophil)
PSS008115|
East Asian Ancestry|
1,761 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil count Partial Correlation (partial-r): 0.2401 [0.1953, 0.2839] sex, age, birth date, deprivation index, 16 PCs
PPM012349 PGS002187
(portability-ldpred2_log_neutrophil)
PSS007902|
African Ancestry|
2,336 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil count Partial Correlation (partial-r): 0.1884 [0.1488, 0.2274] sex, age, birth date, deprivation index, 16 PCs
PPM012350 PGS002187
(portability-ldpred2_log_neutrophil)
PSS009006|
African Ancestry|
3,697 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil count Partial Correlation (partial-r): 0.1552 [0.1235, 0.1866] sex, age, birth date, deprivation index, 16 PCs
PPM012471 PGS002203
(portability-ldpred2_lymphocyte_perc)
PSS009473|
European Ancestry|
19,383 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte percentage Partial Correlation (partial-r): 0.3116 [0.2989, 0.3243] sex, age, birth date, deprivation index, 16 PCs
PPM012472 PGS002203
(portability-ldpred2_lymphocyte_perc)
PSS009247|
European Ancestry|
3,992 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte percentage Partial Correlation (partial-r): 0.2932 [0.2645, 0.3213] sex, age, birth date, deprivation index, 16 PCs
PPM012473 PGS002203
(portability-ldpred2_lymphocyte_perc)
PSS008801|
European Ancestry|
6,417 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte percentage Partial Correlation (partial-r): 0.2976 [0.2751, 0.3198] sex, age, birth date, deprivation index, 16 PCs
PPM012474 PGS002203
(portability-ldpred2_lymphocyte_perc)
PSS008575|
Greater Middle Eastern Ancestry|
1,150 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte percentage Partial Correlation (partial-r): 0.2842 [0.2297, 0.3369] sex, age, birth date, deprivation index, 16 PCs
PPM012475 PGS002203
(portability-ldpred2_lymphocyte_perc)
PSS008353|
South Asian Ancestry|
6,056 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte percentage Partial Correlation (partial-r): 0.2664 [0.2428, 0.2897] sex, age, birth date, deprivation index, 16 PCs
PPM012476 PGS002203
(portability-ldpred2_lymphocyte_perc)
PSS008130|
East Asian Ancestry|
1,761 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte percentage Partial Correlation (partial-r): 0.2567 [0.2122, 0.3] sex, age, birth date, deprivation index, 16 PCs
PPM012477 PGS002203
(portability-ldpred2_lymphocyte_perc)
PSS007917|
African Ancestry|
2,337 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte percentage Partial Correlation (partial-r): 0.1725 [0.1327, 0.2117] sex, age, birth date, deprivation index, 16 PCs
PPM012478 PGS002203
(portability-ldpred2_lymphocyte_perc)
PSS009021|
African Ancestry|
3,695 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Lymphocyte percentage Partial Correlation (partial-r): 0.164 [0.1324, 0.1953] 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
PPM012559 PGS002214
(portability-ldpred2_neutrophil_perc)
PSS009480|
European Ancestry|
19,359 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil percentage Partial Correlation (partial-r): 0.3042 [0.2913, 0.3169] sex, age, birth date, deprivation index, 16 PCs
PPM012560 PGS002214
(portability-ldpred2_neutrophil_perc)
PSS009254|
European Ancestry|
3,988 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil percentage Partial Correlation (partial-r): 0.2993 [0.2707, 0.3274] sex, age, birth date, deprivation index, 16 PCs
PPM012561 PGS002214
(portability-ldpred2_neutrophil_perc)
PSS008808|
European Ancestry|
6,413 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil percentage Partial Correlation (partial-r): 0.2906 [0.268, 0.3129] sex, age, birth date, deprivation index, 16 PCs
PPM012562 PGS002214
(portability-ldpred2_neutrophil_perc)
PSS008582|
Greater Middle Eastern Ancestry|
1,147 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil percentage Partial Correlation (partial-r): 0.2984 [0.2443, 0.3507] sex, age, birth date, deprivation index, 16 PCs
PPM012563 PGS002214
(portability-ldpred2_neutrophil_perc)
PSS008360|
South Asian Ancestry|
6,055 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil percentage Partial Correlation (partial-r): 0.2641 [0.2405, 0.2874] sex, age, birth date, deprivation index, 16 PCs
PPM012564 PGS002214
(portability-ldpred2_neutrophil_perc)
PSS008137|
East Asian Ancestry|
1,760 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil percentage Partial Correlation (partial-r): 0.2471 [0.2025, 0.2907] sex, age, birth date, deprivation index, 16 PCs
PPM012565 PGS002214
(portability-ldpred2_neutrophil_perc)
PSS007924|
African Ancestry|
2,334 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil percentage Partial Correlation (partial-r): 0.1602 [0.1202, 0.1996] sex, age, birth date, deprivation index, 16 PCs
PPM012566 PGS002214
(portability-ldpred2_neutrophil_perc)
PSS009028|
African Ancestry|
3,681 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Neutrophil percentage Partial Correlation (partial-r): 0.1568 [0.125, 0.1882] sex, age, birth date, deprivation index, 16 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
PSS008137 1,760 individuals East Asian China (East Asia) UKB
PSS000290 2,314 individuals European
(French Canadian)
CARTaGENE
PSS000291 39,260 individuals European INTERVAL
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
PSS009216 2,282 individuals European Poland (NE Europe) 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
PSS009225 4,002 individuals European Poland (NE Europe) UKB
PSS009228 3,993 individuals European Poland (NE Europe) 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
PSS009231 3,993 individuals European Poland (NE Europe) UKB
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
PSS009232 3,992 individuals European Poland (NE Europe) UKB
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
PSS009247 3,992 individuals European Poland (NE Europe) UKB
PSS009248 3,963 individuals European Poland (NE Europe) 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
PSS009254 3,988 individuals European Poland (NE Europe) 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
PSS008770 3,365 individuals European Italy (South Europe) UKB
PSS008779 6,437 individuals European Italy (South Europe) UKB
PSS008782 6,421 individuals European Italy (South Europe) UKB
PSS008785 6,423 individuals European Italy (South Europe) UKB
PSS008786 6,419 individuals European Italy (South Europe) UKB
PSS008801 6,417 individuals European Italy (South Europe) UKB
PSS008802 6,368 individuals European Italy (South Europe) UKB
PSS008808 6,413 individuals European Italy (South Europe) UKB
PSS006891 6,139 individuals African unspecified UKB
PSS006892 1,655 individuals East Asian UKB
PSS006893 24,174 individuals European non-white British ancestry UKB
PSS006894 7,520 individuals South Asian UKB
PSS006895 65,638 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS008322 4,224 individuals South Asian India (South Asia) UKB
PSS008331 6,078 individuals South Asian India (South Asia) UKB
PSS008334 6,058 individuals South Asian India (South Asia) UKB
PSS007886 1,291 individuals African American or Afro-Caribbean Carribean UKB
PSS008337 6,060 individuals South Asian India (South Asia) UKB
PSS008338 6,060 individuals South Asian India (South Asia) UKB
PSS008353 6,056 individuals South Asian India (South Asia) UKB
PSS008354 6,010 individuals South Asian India (South Asia) UKB
PSS008360 6,055 individuals South Asian India (South Asia) UKB
PSS007895 2,343 individuals African American or Afro-Caribbean Carribean UKB
PSS006966 6,120 individuals African unspecified UKB
PSS006967 1,654 individuals East Asian UKB
PSS006968 24,129 individuals European non-white British ancestry UKB
PSS006969 7,491 individuals South Asian UKB
PSS006970 65,520 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS006971 6,120 individuals African unspecified UKB
PSS006972 1,654 individuals East Asian UKB
PSS006973 24,129 individuals European non-white British ancestry UKB
PSS006974 7,491 individuals South Asian UKB
PSS006975 65,520 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS006976 6,120 individuals African unspecified UKB
PSS006977 1,654 individuals East Asian UKB
PSS006978 24,129 individuals European non-white British ancestry UKB
PSS006979 7,491 individuals South Asian UKB
PSS006980 65,520 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS006981 6,120 individuals African unspecified UKB
PSS006982 1,654 individuals East Asian UKB
PSS006983 24,129 individuals European non-white British ancestry UKB
PSS006984 7,491 individuals South Asian UKB
PSS006985 65,520 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS006986 6,120 individuals African unspecified UKB
PSS006987 1,654 individuals East Asian UKB
PSS006988 24,129 individuals European non-white British ancestry UKB
PSS006989 7,491 individuals South Asian UKB
PSS006990 65,520 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS006991 6,120 individuals African unspecified UKB
PSS006992 1,654 individuals East Asian UKB
PSS006993 24,130 individuals European non-white British ancestry UKB
PSS006994 7,491 individuals South Asian UKB
PSS006995 65,520 individuals European white British ancestry UKB Testing cohort (heldout set)
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)
PSS007001 6,120 individuals African unspecified UKB
PSS007002 1,654 individuals East Asian UKB
PSS007003 24,130 individuals European non-white British ancestry UKB
PSS007004 7,491 individuals South Asian UKB
PSS007005 65,520 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007006 6,120 individuals African unspecified UKB
PSS007007 1,654 individuals East Asian UKB
PSS007008 24,130 individuals European non-white British ancestry UKB
PSS007009 7,491 individuals South Asian UKB
PSS007010 65,520 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007011 6,120 individuals African unspecified UKB
PSS007012 1,654 individuals East Asian UKB
PSS007013 24,130 individuals European non-white British ancestry UKB
PSS007014 7,491 individuals South Asian UKB
PSS007015 65,520 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS009451 19,419 individuals European UK (+ Ireland) UKB
PSS009454 19,387 individuals European UK (+ Ireland) UKB
PSS009457 19,384 individuals European UK (+ Ireland) UKB
PSS009458 19,382 individuals European UK (+ Ireland) UKB
PSS000911 13,989 individuals Greater Middle Eastern (Middle Eastern, North African or Persian)
(Qatari)
QBB
PSS007898 2,337 individuals African American or Afro-Caribbean Carribean UKB
PSS007917 2,337 individuals African American or Afro-Caribbean Carribean UKB
PSS007918 2,298 individuals African American or Afro-Caribbean Carribean UKB
PSS007924 2,334 individuals African American or Afro-Caribbean Carribean UKB
PSS009473 19,383 individuals European UK (+ Ireland) UKB
PSS009474 19,244 individuals European UK (+ Ireland) UKB
PSS009480 19,359 individuals European UK (+ Ireland) UKB
PSS008990 2,100 individuals African unspecified Nigeria (West Africa) UKB
PSS009442 11,529 individuals European UK (+ Ireland) UKB
PSS008999 3,711 individuals African unspecified Nigeria (West Africa) UKB
PSS009002 3,699 individuals African unspecified Nigeria (West Africa) UKB
PSS009005 3,699 individuals African unspecified Nigeria (West Africa) UKB
PSS009006 3,697 individuals African unspecified Nigeria (West Africa) UKB
PSS009021 3,695 individuals African unspecified Nigeria (West Africa) UKB
PSS009022 3,663 individuals African unspecified Nigeria (West Africa) UKB
PSS007901 2,336 individuals African American or Afro-Caribbean Carribean UKB
PSS009028 3,681 individuals African unspecified Nigeria (West Africa) UKB
PSS007902 2,336 individuals African American or Afro-Caribbean Carribean UKB
PSS008544 676 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008553 1,153 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008556 1,150 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008559 1,151 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008560 1,149 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008575 1,150 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008576 1,144 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008582 1,147 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008099 983 individuals East Asian China (East Asia) UKB
PSS008108 1,762 individuals East Asian China (East Asia) UKB
PSS008111 1,761 individuals East Asian China (East Asia) UKB
PSS008114 1,760 individuals East Asian China (East Asia) UKB
PSS008115 1,761 individuals East Asian China (East Asia) UKB
PSS008130 1,761 individuals East Asian China (East Asia) UKB
PSS008131 1,744 individuals East Asian China (East Asia) UKB