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
GWAS
Dev
Eval
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)
Eosinophil percentage 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)
Neutrophil percentage 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 percentage 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)
Eosinophil 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)
Neutrophil 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)
Basophil percentage 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)
Basophil 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
PGS002325
(blood_EOSINOPHIL_COUNT.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Eosinophil count eosinophil count 1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002325/ScoringFiles/PGS002325.txt.gz
PGS002338
(blood_LYMPHOCYTE_COUNT.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Lymphocyte count lymphocyte count 1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002338/ScoringFiles/PGS002338.txt.gz
PGS002341
(blood_MONOCYTE_COUNT.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Monocyte count monocyte count 1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002341/ScoringFiles/PGS002341.txt.gz
PGS002357
(blood_WHITE_COUNT.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
White blood cell count leukocyte count 1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002357/ScoringFiles/PGS002357.txt.gz
PGS002364
(blood_EOSINOPHIL_COUNT.BOLT-LMM-BBJ)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Eosinophil count eosinophil count 920,929
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002364/ScoringFiles/PGS002364.txt.gz
PGS002370
(blood_LYMPHOCYTE_COUNT.BOLT-LMM-BBJ)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Lymphocyte count lymphocyte count 920,935
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002370/ScoringFiles/PGS002370.txt.gz
PGS002372
(blood_MONOCYTE_COUNT.BOLT-LMM-BBJ)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Monocyte count monocyte count 920,930
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002372/ScoringFiles/PGS002372.txt.gz
PGS002380
(blood_WHITE_COUNT.BOLT-LMM-BBJ)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
White blood cell count leukocyte count 920,936
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002380/ScoringFiles/PGS002380.txt.gz
PGS002397
(blood_EOSINOPHIL_COUNT.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Eosinophil count eosinophil count 15,667
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002397/ScoringFiles/PGS002397.txt.gz
PGS002410
(blood_LYMPHOCYTE_COUNT.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Lymphocyte count lymphocyte count 14,889
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002410/ScoringFiles/PGS002410.txt.gz
PGS002413
(blood_MONOCYTE_COUNT.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Monocyte count monocyte count 17,405
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002413/ScoringFiles/PGS002413.txt.gz
PGS002429
(blood_WHITE_COUNT.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
White blood cell count leukocyte count 13,898
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002429/ScoringFiles/PGS002429.txt.gz
PGS002446
(blood_EOSINOPHIL_COUNT.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Eosinophil count eosinophil count 35,512
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002446/ScoringFiles/PGS002446.txt.gz
PGS002459
(blood_LYMPHOCYTE_COUNT.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Lymphocyte count lymphocyte count 36,117
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002459/ScoringFiles/PGS002459.txt.gz
PGS002462
(blood_MONOCYTE_COUNT.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Monocyte count monocyte count 38,012
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002462/ScoringFiles/PGS002462.txt.gz
PGS002478
(blood_WHITE_COUNT.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
White blood cell count leukocyte count 35,005
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002478/ScoringFiles/PGS002478.txt.gz
PGS002495
(blood_EOSINOPHIL_COUNT.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Eosinophil count eosinophil count 135,927
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002495/ScoringFiles/PGS002495.txt.gz
PGS002508
(blood_LYMPHOCYTE_COUNT.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Lymphocyte count lymphocyte count 140,957
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002508/ScoringFiles/PGS002508.txt.gz
PGS002511
(blood_MONOCYTE_COUNT.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Monocyte count monocyte count 140,833
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002511/ScoringFiles/PGS002511.txt.gz
PGS002527
(blood_WHITE_COUNT.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
White blood cell count leukocyte count 141,866
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002527/ScoringFiles/PGS002527.txt.gz
PGS002544
(blood_EOSINOPHIL_COUNT.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Eosinophil count eosinophil count 6,683
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002544/ScoringFiles/PGS002544.txt.gz
PGS002557
(blood_LYMPHOCYTE_COUNT.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Lymphocyte count lymphocyte count 5,729
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002557/ScoringFiles/PGS002557.txt.gz
PGS002560
(blood_MONOCYTE_COUNT.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Monocyte count monocyte count 7,666
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002560/ScoringFiles/PGS002560.txt.gz
PGS002576
(blood_WHITE_COUNT.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
White blood cell count leukocyte count 4,921
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002576/ScoringFiles/PGS002576.txt.gz
PGS002593
(blood_EOSINOPHIL_COUNT.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Eosinophil count eosinophil count 4,677
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002593/ScoringFiles/PGS002593.txt.gz
PGS002606
(blood_LYMPHOCYTE_COUNT.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Lymphocyte count lymphocyte count 3,808
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002606/ScoringFiles/PGS002606.txt.gz
PGS002609
(blood_MONOCYTE_COUNT.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Monocyte count monocyte count 5,367
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002609/ScoringFiles/PGS002609.txt.gz
PGS002625
(blood_WHITE_COUNT.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
White blood cell count leukocyte count 3,184
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002625/ScoringFiles/PGS002625.txt.gz
PGS002642
(blood_EOSINOPHIL_COUNT.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Eosinophil count eosinophil count 346,331
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002642/ScoringFiles/PGS002642.txt.gz
PGS002655
(blood_LYMPHOCYTE_COUNT.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Lymphocyte count lymphocyte count 472,203
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002655/ScoringFiles/PGS002655.txt.gz
PGS002658
(blood_MONOCYTE_COUNT.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Monocyte count monocyte count 353,881
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002658/ScoringFiles/PGS002658.txt.gz
PGS002674
(blood_WHITE_COUNT.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
White blood cell count leukocyte count 491,764
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002674/ScoringFiles/PGS002674.txt.gz
PGS002691
(blood_EOSINOPHIL_COUNT.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Eosinophil count eosinophil count 980,421
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002691/ScoringFiles/PGS002691.txt.gz
PGS002704
(blood_LYMPHOCYTE_COUNT.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Lymphocyte count lymphocyte count 983,350
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002704/ScoringFiles/PGS002704.txt.gz
PGS002707
(blood_MONOCYTE_COUNT.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Monocyte count monocyte count 980,307
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002707/ScoringFiles/PGS002707.txt.gz
PGS002723
(blood_WHITE_COUNT.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
White blood cell count leukocyte count 983,751
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002723/ScoringFiles/PGS002723.txt.gz
PGS003464
(LDPred2_EOS)
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Eosinophil count eosinophil count 859,056
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003464/ScoringFiles/PGS003464.txt.gz
PGS003475
(LDPred2_LYM)
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Lymphocyte count lymphocyte count 859,875
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003475/ScoringFiles/PGS003475.txt.gz
PGS003483
(LDPred2_WBC)
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
White blood cell count leukocyte count 860,306
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003483/ScoringFiles/PGS003483.txt.gz
PGS003530
(cont-decay-log_eosinophil_perc)
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Eosinophil percentage eosinophil percentage of leukocytes 979,739
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003530/ScoringFiles/PGS003530.txt.gz
PGS003541
(cont-decay-log_leukocyte)
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
White blood cell (leukocyte) count leukocyte count 979,739
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003541/ScoringFiles/PGS003541.txt.gz
PGS003544
(cont-decay-log_monocyte)
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Monocyte count monocyte count 979,739
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003544/ScoringFiles/PGS003544.txt.gz
PGS003545
(cont-decay-log_neutrophil)
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Neutrophil count neutrophil count 979,739
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003545/ScoringFiles/PGS003545.txt.gz
PGS003557
(cont-decay-lymphocyte_perc)
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Lymphocyte percentage lymphocyte percentage of leukocytes 979,739
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003557/ScoringFiles/PGS003557.txt.gz
PGS003562
(cont-decay-monocyte_perc)
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Monocyte percentage monocyte percentage of leukocytes 979,739
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003562/ScoringFiles/PGS003562.txt.gz
PGS003566
(cont-decay-neutrophil_perc)
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Neutrophil percentage neutrophil percentage of leukocytes 979,739
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003566/ScoringFiles/PGS003566.txt.gz
PGS003924
(INI30000)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
White blood cell (leukocyte) count leukocyte count 17,890
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003924/ScoringFiles/PGS003924.txt.gz
PGS003936
(INI30120)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Lymphocyte count lymphocyte count 7,291
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003936/ScoringFiles/PGS003936.txt.gz
PGS003937
(INI30130)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Monocyte count monocyte count 13,415
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003937/ScoringFiles/PGS003937.txt.gz
PGS003938
(INI30140)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Neutrophil count neutrophil count 18,612
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003938/ScoringFiles/PGS003938.txt.gz
PGS003939
(INI30150)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Eosinophil count eosinophil count 16,859
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003939/ScoringFiles/PGS003939.txt.gz
PGS003940
(INI30160)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Basophil count basophil count 4,184
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003940/ScoringFiles/PGS003940.txt.gz
PGS003941
(INI30180)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Lymphocyte percentage lymphocyte percentage of leukocytes 20,804
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003941/ScoringFiles/PGS003941.txt.gz
PGS003942
(INI30190)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Monocyte percentage monocyte percentage of leukocytes 10,717
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003942/ScoringFiles/PGS003942.txt.gz
PGS003943
(INI30200)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Neutrophil percentage neutrophil percentage of leukocytes 16,931
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003943/ScoringFiles/PGS003943.txt.gz
PGS003944
(INI30210)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Eosinophil percentage eosinophil percentage of leukocytes 17,227
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003944/ScoringFiles/PGS003944.txt.gz
PGS003945
(INI30220)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Basophil percentage basophil percentage of leukocytes 3,472
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003945/ScoringFiles/PGS003945.txt.gz
PGS004345
(X30000.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
White blood cell (leukocyte) count leukocyte count 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004345/ScoringFiles/PGS004345.txt.gz
PGS004356
(X30120.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Lymphocyte count lymphocyte count 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004356/ScoringFiles/PGS004356.txt.gz
PGS004357
(X30130.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Monocyte count monocyte count 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004357/ScoringFiles/PGS004357.txt.gz
PGS004358
(X30140.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Neutrophill count neutrophil count 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004358/ScoringFiles/PGS004358.txt.gz
PGS004359
(X30180.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Lymphocyte percentage lymphocyte percentage of leukocytes 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004359/ScoringFiles/PGS004359.txt.gz
PGS004360
(X30190.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Monocyte percentage monocyte percentage of leukocytes 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004360/ScoringFiles/PGS004360.txt.gz
PGS004361
(X30200.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Neutrophill percentage neutrophil percentage of leukocytes 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004361/ScoringFiles/PGS004361.txt.gz
PGS004362
(X30210.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Eosinophill percentage eosinophil percentage of leukocytes 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004362/ScoringFiles/PGS004362.txt.gz
PGS004727
(Basophils_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Basophil count basophil count 6,503
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004727/ScoringFiles/PGS004727.txt.gz
PGS004728
(Basophils_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Basophil count basophil count 6,132,012
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004728/ScoringFiles/PGS004728.txt.gz
PGS004729
(Basophils_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Basophil count basophil count 1,538,675
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004729/ScoringFiles/PGS004729.txt.gz
PGS004730
(Basophils_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Basophil count basophil count 6,132,012
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004730/ScoringFiles/PGS004730.txt.gz
PGS004761
(Eosinophils_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Eosinophil count eosinophil count 1,086,541
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004761/ScoringFiles/PGS004761.txt.gz
PGS004762
(Eosinophils_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Eosinophil count eosinophil count 4,143,233
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004762/ScoringFiles/PGS004762.txt.gz
PGS004763
(Eosinophils_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Eosinophil count eosinophil count 3,749,971
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004763/ScoringFiles/PGS004763.txt.gz
PGS004764
(Eosinophils_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Eosinophil count eosinophil count 1,698,846
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004764/ScoringFiles/PGS004764.txt.gz
PGS004801
(Monocytes_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Monocyte count monocyte count 1,099,478
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004801/ScoringFiles/PGS004801.txt.gz
PGS004802
(Monocytes_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Monocyte count monocyte count 2,743,298
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004802/ScoringFiles/PGS004802.txt.gz
PGS004803
(Monocytes_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Monocyte count monocyte count 3,020,361
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004803/ScoringFiles/PGS004803.txt.gz
PGS004804
(Monocytes_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Monocyte count monocyte count 2,743,298
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004804/ScoringFiles/PGS004804.txt.gz
PGS004805
(Neutrophils_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Neutrophil count neutrophil count 595,488
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004805/ScoringFiles/PGS004805.txt.gz
PGS004806
(Neutrophils_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Neutrophil count neutrophil count 4,190,918
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004806/ScoringFiles/PGS004806.txt.gz
PGS004807
(Neutrophils_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Neutrophil count neutrophil count 3,498,605
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004807/ScoringFiles/PGS004807.txt.gz
PGS004808
(Neutrophils_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Neutrophil count neutrophil count 1,877,161
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004808/ScoringFiles/PGS004808.txt.gz
PGS004855
(WBC_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
White blood cell count leukocyte count 1,165,158
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004855/ScoringFiles/PGS004855.txt.gz
PGS004856
(WBC_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
White blood cell count leukocyte count 6,594,323
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004856/ScoringFiles/PGS004856.txt.gz
PGS004857
(WBC_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
White blood cell count leukocyte count 4,141,649
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004857/ScoringFiles/PGS004857.txt.gz
PGS004858
(WBC_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
White blood cell count leukocyte count 6,594,323
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004858/ScoringFiles/PGS004858.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
PPM008143 PGS001077
(GBE_INI30200)
PSS007001|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Neutrophill % Incremental R2 (full-covars): 0.01344
: 0.04156 [0.03206, 0.05106]
PGS R2 (no covariates): 0.01383 [0.00819, 0.01946]
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
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
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
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
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
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
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
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
PPM013090 PGS002325
(blood_EOSINOPHIL_COUNT.BOLT-LMM)
PSS009743|
African Ancestry|
6,017 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0299 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013139 PGS002325
(blood_EOSINOPHIL_COUNT.BOLT-LMM)
PSS009744|
East Asian Ancestry|
880 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0682 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013188 PGS002325
(blood_EOSINOPHIL_COUNT.BOLT-LMM)
PSS009745|
European Ancestry|
41,583 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.1407 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013237 PGS002325
(blood_EOSINOPHIL_COUNT.BOLT-LMM)
PSS009746|
South Asian Ancestry|
7,446 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.09 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013103 PGS002338
(blood_LYMPHOCYTE_COUNT.BOLT-LMM)
PSS009795|
African Ancestry|
6,135 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0305 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013152 PGS002338
(blood_LYMPHOCYTE_COUNT.BOLT-LMM)
PSS009796|
East Asian Ancestry|
895 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0585 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013201 PGS002338
(blood_LYMPHOCYTE_COUNT.BOLT-LMM)
PSS009797|
European Ancestry|
41,973 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.1307 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013250 PGS002338
(blood_LYMPHOCYTE_COUNT.BOLT-LMM)
PSS009798|
South Asian Ancestry|
7,737 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0755 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013106 PGS002341
(blood_MONOCYTE_COUNT.BOLT-LMM)
PSS009807|
African Ancestry|
6,119 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0391 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013155 PGS002341
(blood_MONOCYTE_COUNT.BOLT-LMM)
PSS009808|
East Asian Ancestry|
894 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0668 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013204 PGS002341
(blood_MONOCYTE_COUNT.BOLT-LMM)
PSS009809|
European Ancestry|
41,863 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.1716 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013253 PGS002341
(blood_MONOCYTE_COUNT.BOLT-LMM)
PSS009810|
South Asian Ancestry|
7,718 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.1221 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013122 PGS002357
(blood_WHITE_COUNT.BOLT-LMM)
PSS009871|
African Ancestry|
6,149 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0249 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013171 PGS002357
(blood_WHITE_COUNT.BOLT-LMM)
PSS009872|
East Asian Ancestry|
893 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0616 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013220 PGS002357
(blood_WHITE_COUNT.BOLT-LMM)
PSS009873|
European Ancestry|
42,026 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.123 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013269 PGS002357
(blood_WHITE_COUNT.BOLT-LMM)
PSS009874|
South Asian Ancestry|
7,769 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0945 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013276 PGS002364
(blood_EOSINOPHIL_COUNT.BOLT-LMM-BBJ)
PSS009743|
African Ancestry|
6,017 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0016 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013299 PGS002364
(blood_EOSINOPHIL_COUNT.BOLT-LMM-BBJ)
PSS009744|
East Asian Ancestry|
880 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0497 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013322 PGS002364
(blood_EOSINOPHIL_COUNT.BOLT-LMM-BBJ)
PSS009745|
European Ancestry|
41,583 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0044 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013345 PGS002364
(blood_EOSINOPHIL_COUNT.BOLT-LMM-BBJ)
PSS009746|
South Asian Ancestry|
7,446 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0111 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013351 PGS002370
(blood_LYMPHOCYTE_COUNT.BOLT-LMM-BBJ)
PSS009798|
South Asian Ancestry|
7,737 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0045 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013282 PGS002370
(blood_LYMPHOCYTE_COUNT.BOLT-LMM-BBJ)
PSS009795|
African Ancestry|
6,135 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0008 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013328 PGS002370
(blood_LYMPHOCYTE_COUNT.BOLT-LMM-BBJ)
PSS009797|
European Ancestry|
41,973 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0034 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013305 PGS002370
(blood_LYMPHOCYTE_COUNT.BOLT-LMM-BBJ)
PSS009796|
East Asian Ancestry|
895 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0363 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013284 PGS002372
(blood_MONOCYTE_COUNT.BOLT-LMM-BBJ)
PSS009807|
African Ancestry|
6,119 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0059 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013307 PGS002372
(blood_MONOCYTE_COUNT.BOLT-LMM-BBJ)
PSS009808|
East Asian Ancestry|
894 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0379 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013330 PGS002372
(blood_MONOCYTE_COUNT.BOLT-LMM-BBJ)
PSS009809|
European Ancestry|
41,863 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0073 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013353 PGS002372
(blood_MONOCYTE_COUNT.BOLT-LMM-BBJ)
PSS009810|
South Asian Ancestry|
7,718 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0068 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013315 PGS002380
(blood_WHITE_COUNT.BOLT-LMM-BBJ)
PSS009872|
East Asian Ancestry|
893 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0507 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013338 PGS002380
(blood_WHITE_COUNT.BOLT-LMM-BBJ)
PSS009873|
European Ancestry|
42,026 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0029 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013361 PGS002380
(blood_WHITE_COUNT.BOLT-LMM-BBJ)
PSS009874|
South Asian Ancestry|
7,769 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0025 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013292 PGS002380
(blood_WHITE_COUNT.BOLT-LMM-BBJ)
PSS009871|
African Ancestry|
6,149 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0018 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013378 PGS002397
(blood_EOSINOPHIL_COUNT.P+T.0.0001)
PSS009743|
African Ancestry|
6,017 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0027 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013427 PGS002397
(blood_EOSINOPHIL_COUNT.P+T.0.0001)
PSS009744|
East Asian Ancestry|
880 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0358 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013476 PGS002397
(blood_EOSINOPHIL_COUNT.P+T.0.0001)
PSS009745|
European Ancestry|
41,583 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0771 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013525 PGS002397
(blood_EOSINOPHIL_COUNT.P+T.0.0001)
PSS009746|
South Asian Ancestry|
7,446 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0491 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013391 PGS002410
(blood_LYMPHOCYTE_COUNT.P+T.0.0001)
PSS009795|
African Ancestry|
6,135 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0004 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013440 PGS002410
(blood_LYMPHOCYTE_COUNT.P+T.0.0001)
PSS009796|
East Asian Ancestry|
895 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0566 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013489 PGS002410
(blood_LYMPHOCYTE_COUNT.P+T.0.0001)
PSS009797|
European Ancestry|
41,973 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0706 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013538 PGS002410
(blood_LYMPHOCYTE_COUNT.P+T.0.0001)
PSS009798|
South Asian Ancestry|
7,737 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0387 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013394 PGS002413
(blood_MONOCYTE_COUNT.P+T.0.0001)
PSS009807|
African Ancestry|
6,119 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0017 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013443 PGS002413
(blood_MONOCYTE_COUNT.P+T.0.0001)
PSS009808|
East Asian Ancestry|
894 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.072 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013492 PGS002413
(blood_MONOCYTE_COUNT.P+T.0.0001)
PSS009809|
European Ancestry|
41,863 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.1167 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013541 PGS002413
(blood_MONOCYTE_COUNT.P+T.0.0001)
PSS009810|
South Asian Ancestry|
7,718 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0813 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013410 PGS002429
(blood_WHITE_COUNT.P+T.0.0001)
PSS009871|
African Ancestry|
6,149 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.004 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013459 PGS002429
(blood_WHITE_COUNT.P+T.0.0001)
PSS009872|
East Asian Ancestry|
893 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0423 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013508 PGS002429
(blood_WHITE_COUNT.P+T.0.0001)
PSS009873|
European Ancestry|
42,026 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0662 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013557 PGS002429
(blood_WHITE_COUNT.P+T.0.0001)
PSS009874|
South Asian Ancestry|
7,769 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0458 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013574 PGS002446
(blood_EOSINOPHIL_COUNT.P+T.0.001)
PSS009743|
African Ancestry|
6,017 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0015 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013623 PGS002446
(blood_EOSINOPHIL_COUNT.P+T.0.001)
PSS009744|
East Asian Ancestry|
880 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0309 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013672 PGS002446
(blood_EOSINOPHIL_COUNT.P+T.0.001)
PSS009745|
European Ancestry|
41,583 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0744 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013721 PGS002446
(blood_EOSINOPHIL_COUNT.P+T.0.001)
PSS009746|
South Asian Ancestry|
7,446 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0298 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013587 PGS002459
(blood_LYMPHOCYTE_COUNT.P+T.0.001)
PSS009795|
African Ancestry|
6,135 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0003 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013636 PGS002459
(blood_LYMPHOCYTE_COUNT.P+T.0.001)
PSS009796|
East Asian Ancestry|
895 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0358 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013685 PGS002459
(blood_LYMPHOCYTE_COUNT.P+T.0.001)
PSS009797|
European Ancestry|
41,973 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.058 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013734 PGS002459
(blood_LYMPHOCYTE_COUNT.P+T.0.001)
PSS009798|
South Asian Ancestry|
7,737 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0294 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013590 PGS002462
(blood_MONOCYTE_COUNT.P+T.0.001)
PSS009807|
African Ancestry|
6,119 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0011 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013639 PGS002462
(blood_MONOCYTE_COUNT.P+T.0.001)
PSS009808|
East Asian Ancestry|
894 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0556 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013688 PGS002462
(blood_MONOCYTE_COUNT.P+T.0.001)
PSS009809|
European Ancestry|
41,863 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.1119 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013737 PGS002462
(blood_MONOCYTE_COUNT.P+T.0.001)
PSS009810|
South Asian Ancestry|
7,718 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.072 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013606 PGS002478
(blood_WHITE_COUNT.P+T.0.001)
PSS009871|
African Ancestry|
6,149 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013655 PGS002478
(blood_WHITE_COUNT.P+T.0.001)
PSS009872|
East Asian Ancestry|
893 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.036 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013704 PGS002478
(blood_WHITE_COUNT.P+T.0.001)
PSS009873|
European Ancestry|
42,026 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.069 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013753 PGS002478
(blood_WHITE_COUNT.P+T.0.001)
PSS009874|
South Asian Ancestry|
7,769 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0441 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013770 PGS002495
(blood_EOSINOPHIL_COUNT.P+T.0.01)
PSS009743|
African Ancestry|
6,017 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0012 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013819 PGS002495
(blood_EOSINOPHIL_COUNT.P+T.0.01)
PSS009744|
East Asian Ancestry|
880 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0108 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013868 PGS002495
(blood_EOSINOPHIL_COUNT.P+T.0.01)
PSS009745|
European Ancestry|
41,583 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.053 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013917 PGS002495
(blood_EOSINOPHIL_COUNT.P+T.0.01)
PSS009746|
South Asian Ancestry|
7,446 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0191 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013881 PGS002508
(blood_LYMPHOCYTE_COUNT.P+T.0.01)
PSS009797|
European Ancestry|
41,973 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0456 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013783 PGS002508
(blood_LYMPHOCYTE_COUNT.P+T.0.01)
PSS009795|
African Ancestry|
6,135 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013832 PGS002508
(blood_LYMPHOCYTE_COUNT.P+T.0.01)
PSS009796|
East Asian Ancestry|
895 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0123 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013930 PGS002508
(blood_LYMPHOCYTE_COUNT.P+T.0.01)
PSS009798|
South Asian Ancestry|
7,737 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0138 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013835 PGS002511
(blood_MONOCYTE_COUNT.P+T.0.01)
PSS009808|
East Asian Ancestry|
894 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0163 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013884 PGS002511
(blood_MONOCYTE_COUNT.P+T.0.01)
PSS009809|
European Ancestry|
41,863 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0568 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013786 PGS002511
(blood_MONOCYTE_COUNT.P+T.0.01)
PSS009807|
African Ancestry|
6,119 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0012 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013933 PGS002511
(blood_MONOCYTE_COUNT.P+T.0.01)
PSS009810|
South Asian Ancestry|
7,718 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0235 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013802 PGS002527
(blood_WHITE_COUNT.P+T.0.01)
PSS009871|
African Ancestry|
6,149 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013851 PGS002527
(blood_WHITE_COUNT.P+T.0.01)
PSS009872|
East Asian Ancestry|
893 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0109 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013900 PGS002527
(blood_WHITE_COUNT.P+T.0.01)
PSS009873|
European Ancestry|
42,026 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0384 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013949 PGS002527
(blood_WHITE_COUNT.P+T.0.01)
PSS009874|
South Asian Ancestry|
7,769 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0128 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013966 PGS002544
(blood_EOSINOPHIL_COUNT.P+T.1e-06)
PSS009743|
African Ancestry|
6,017 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0094 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014015 PGS002544
(blood_EOSINOPHIL_COUNT.P+T.1e-06)
PSS009744|
East Asian Ancestry|
880 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0334 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014064 PGS002544
(blood_EOSINOPHIL_COUNT.P+T.1e-06)
PSS009745|
European Ancestry|
41,583 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0633 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014113 PGS002544
(blood_EOSINOPHIL_COUNT.P+T.1e-06)
PSS009746|
South Asian Ancestry|
7,446 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0426 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013979 PGS002557
(blood_LYMPHOCYTE_COUNT.P+T.1e-06)
PSS009795|
African Ancestry|
6,135 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0087 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014028 PGS002557
(blood_LYMPHOCYTE_COUNT.P+T.1e-06)
PSS009796|
East Asian Ancestry|
895 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.057 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014077 PGS002557
(blood_LYMPHOCYTE_COUNT.P+T.1e-06)
PSS009797|
European Ancestry|
41,973 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0561 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014126 PGS002557
(blood_LYMPHOCYTE_COUNT.P+T.1e-06)
PSS009798|
South Asian Ancestry|
7,737 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0302 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013982 PGS002560
(blood_MONOCYTE_COUNT.P+T.1e-06)
PSS009807|
African Ancestry|
6,119 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0238 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014031 PGS002560
(blood_MONOCYTE_COUNT.P+T.1e-06)
PSS009808|
East Asian Ancestry|
894 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0645 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014080 PGS002560
(blood_MONOCYTE_COUNT.P+T.1e-06)
PSS009809|
European Ancestry|
41,863 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.1053 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014129 PGS002560
(blood_MONOCYTE_COUNT.P+T.1e-06)
PSS009810|
South Asian Ancestry|
7,718 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.077 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013998 PGS002576
(blood_WHITE_COUNT.P+T.1e-06)
PSS009871|
African Ancestry|
6,149 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0151 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014047 PGS002576
(blood_WHITE_COUNT.P+T.1e-06)
PSS009872|
East Asian Ancestry|
893 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0323 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014096 PGS002576
(blood_WHITE_COUNT.P+T.1e-06)
PSS009873|
European Ancestry|
42,026 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0515 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014145 PGS002576
(blood_WHITE_COUNT.P+T.1e-06)
PSS009874|
South Asian Ancestry|
7,769 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0369 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014162 PGS002593
(blood_EOSINOPHIL_COUNT.P+T.5e-08)
PSS009743|
African Ancestry|
6,017 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.008 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014211 PGS002593
(blood_EOSINOPHIL_COUNT.P+T.5e-08)
PSS009744|
East Asian Ancestry|
880 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0318 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014260 PGS002593
(blood_EOSINOPHIL_COUNT.P+T.5e-08)
PSS009745|
European Ancestry|
41,583 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0573 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014309 PGS002593
(blood_EOSINOPHIL_COUNT.P+T.5e-08)
PSS009746|
South Asian Ancestry|
7,446 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0387 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014175 PGS002606
(blood_LYMPHOCYTE_COUNT.P+T.5e-08)
PSS009795|
African Ancestry|
6,135 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0085 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014224 PGS002606
(blood_LYMPHOCYTE_COUNT.P+T.5e-08)
PSS009796|
East Asian Ancestry|
895 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0542 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014273 PGS002606
(blood_LYMPHOCYTE_COUNT.P+T.5e-08)
PSS009797|
European Ancestry|
41,973 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0498 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014322 PGS002606
(blood_LYMPHOCYTE_COUNT.P+T.5e-08)
PSS009798|
South Asian Ancestry|
7,737 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0265 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014178 PGS002609
(blood_MONOCYTE_COUNT.P+T.5e-08)
PSS009807|
African Ancestry|
6,119 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0222 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014227 PGS002609
(blood_MONOCYTE_COUNT.P+T.5e-08)
PSS009808|
East Asian Ancestry|
894 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0591 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014276 PGS002609
(blood_MONOCYTE_COUNT.P+T.5e-08)
PSS009809|
European Ancestry|
41,863 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0991 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014325 PGS002609
(blood_MONOCYTE_COUNT.P+T.5e-08)
PSS009810|
South Asian Ancestry|
7,718 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0716 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014194 PGS002625
(blood_WHITE_COUNT.P+T.5e-08)
PSS009871|
African Ancestry|
6,149 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0181 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014292 PGS002625
(blood_WHITE_COUNT.P+T.5e-08)
PSS009873|
European Ancestry|
42,026 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0445 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014341 PGS002625
(blood_WHITE_COUNT.P+T.5e-08)
PSS009874|
South Asian Ancestry|
7,769 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.033 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014243 PGS002625
(blood_WHITE_COUNT.P+T.5e-08)
PSS009872|
East Asian Ancestry|
893 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.027 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014407 PGS002642
(blood_EOSINOPHIL_COUNT.PolyFun-pred)
PSS009744|
East Asian Ancestry|
880 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0799 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_EOSINOPHIL_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014358 PGS002642
(blood_EOSINOPHIL_COUNT.PolyFun-pred)
PSS009743|
African Ancestry|
6,017 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.037 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_EOSINOPHIL_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014456 PGS002642
(blood_EOSINOPHIL_COUNT.PolyFun-pred)
PSS009745|
European Ancestry|
41,583 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1552 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_EOSINOPHIL_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014505 PGS002642
(blood_EOSINOPHIL_COUNT.PolyFun-pred)
PSS009746|
South Asian Ancestry|
7,446 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1011 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_EOSINOPHIL_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014371 PGS002655
(blood_LYMPHOCYTE_COUNT.PolyFun-pred)
PSS009795|
African Ancestry|
6,135 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0339 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_LYMPHOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014420 PGS002655
(blood_LYMPHOCYTE_COUNT.PolyFun-pred)
PSS009796|
East Asian Ancestry|
895 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0735 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_LYMPHOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014469 PGS002655
(blood_LYMPHOCYTE_COUNT.PolyFun-pred)
PSS009797|
European Ancestry|
41,973 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1393 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_LYMPHOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014518 PGS002655
(blood_LYMPHOCYTE_COUNT.PolyFun-pred)
PSS009798|
South Asian Ancestry|
7,737 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0834 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_LYMPHOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014521 PGS002658
(blood_MONOCYTE_COUNT.PolyFun-pred)
PSS009810|
South Asian Ancestry|
7,718 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1406 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_MONOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014374 PGS002658
(blood_MONOCYTE_COUNT.PolyFun-pred)
PSS009807|
African Ancestry|
6,119 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0526 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_MONOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014423 PGS002658
(blood_MONOCYTE_COUNT.PolyFun-pred)
PSS009808|
East Asian Ancestry|
894 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0939 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_MONOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014472 PGS002658
(blood_MONOCYTE_COUNT.PolyFun-pred)
PSS009809|
European Ancestry|
41,863 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1972 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_MONOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014390 PGS002674
(blood_WHITE_COUNT.PolyFun-pred)
PSS009871|
African Ancestry|
6,149 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.047 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_WHITE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014439 PGS002674
(blood_WHITE_COUNT.PolyFun-pred)
PSS009872|
East Asian Ancestry|
893 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0632 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_WHITE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014488 PGS002674
(blood_WHITE_COUNT.PolyFun-pred)
PSS009873|
European Ancestry|
42,026 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1299 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_WHITE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014537 PGS002674
(blood_WHITE_COUNT.PolyFun-pred)
PSS009874|
South Asian Ancestry|
7,769 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1008 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_WHITE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014603 PGS002691
(blood_EOSINOPHIL_COUNT.SBayesR)
PSS009744|
East Asian Ancestry|
880 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0679 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014554 PGS002691
(blood_EOSINOPHIL_COUNT.SBayesR)
PSS009743|
African Ancestry|
6,017 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0323 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014652 PGS002691
(blood_EOSINOPHIL_COUNT.SBayesR)
PSS009745|
European Ancestry|
41,583 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.1288 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014701 PGS002691
(blood_EOSINOPHIL_COUNT.SBayesR)
PSS009746|
South Asian Ancestry|
7,446 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Eosinophil count Incremental R2 (full model vs. covariates alone): 0.0858 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014616 PGS002704
(blood_LYMPHOCYTE_COUNT.SBayesR)
PSS009796|
East Asian Ancestry|
895 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0673 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014567 PGS002704
(blood_LYMPHOCYTE_COUNT.SBayesR)
PSS009795|
African Ancestry|
6,135 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0268 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014665 PGS002704
(blood_LYMPHOCYTE_COUNT.SBayesR)
PSS009797|
European Ancestry|
41,973 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.1222 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014714 PGS002704
(blood_LYMPHOCYTE_COUNT.SBayesR)
PSS009798|
South Asian Ancestry|
7,737 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Lymphocyte Count Incremental R2 (full model vs. covariates alone): 0.0722 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014570 PGS002707
(blood_MONOCYTE_COUNT.SBayesR)
PSS009807|
African Ancestry|
6,119 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0361 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014619 PGS002707
(blood_MONOCYTE_COUNT.SBayesR)
PSS009808|
East Asian Ancestry|
894 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.0896 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014717 PGS002707
(blood_MONOCYTE_COUNT.SBayesR)
PSS009810|
South Asian Ancestry|
7,718 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.1212 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014668 PGS002707
(blood_MONOCYTE_COUNT.SBayesR)
PSS009809|
European Ancestry|
41,863 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte Count Incremental R2 (full model vs. covariates alone): 0.1669 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014586 PGS002723
(blood_WHITE_COUNT.SBayesR)
PSS009871|
African Ancestry|
6,149 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0218 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014635 PGS002723
(blood_WHITE_COUNT.SBayesR)
PSS009872|
East Asian Ancestry|
893 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0624 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014684 PGS002723
(blood_WHITE_COUNT.SBayesR)
PSS009873|
European Ancestry|
42,026 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.1169 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014733 PGS002723
(blood_WHITE_COUNT.SBayesR)
PSS009874|
South Asian Ancestry|
7,769 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: White Blood Count Incremental R2 (full model vs. covariates alone): 0.0902 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM017274 PGS003464
(LDPred2_EOS)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Respiratory event index β: 0.002 (0.01) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017297 PGS003464
(LDPred2_EOS)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Obstructive sleep apnea β: 0.014 (0.024) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017285 PGS003475
(LDPred2_LYM)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Respiratory event index β: 0.009 (0.01) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017308 PGS003475
(LDPred2_LYM)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Obstructive sleep apnea β: 0.007 (0.024) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017292 PGS003483
(LDPred2_WBC)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Respiratory event index β: -0.007 (0.01) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017315 PGS003483
(LDPred2_WBC)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Obstructive sleep apnea β: -0.023 (0.024) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017458 PGS003530
(cont-decay-log_eosinophil_perc)
PSS010894|
European Ancestry|
11,449 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Eosinophil percentage partial-R2: 0.05 sex, age, deprivation index, PC1-16
PPM017542 PGS003530
(cont-decay-log_eosinophil_perc)
PSS010810|
European Ancestry|
2,277 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Eosinophil percentage partial-R2: 0.05 sex, age, deprivation index, PC1-16
PPM017710 PGS003530
(cont-decay-log_eosinophil_perc)
PSS010558|
Greater Middle Eastern Ancestry|
659 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Eosinophil percentage partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM017794 PGS003530
(cont-decay-log_eosinophil_perc)
PSS010222|
European Ancestry|
1,249 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Eosinophil percentage partial-R2: 0.04 sex, age, deprivation index, PC1-16
PPM017878 PGS003530
(cont-decay-log_eosinophil_perc)
PSS010474|
South Asian Ancestry|
4,192 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Eosinophil percentage partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM018046 PGS003530
(cont-decay-log_eosinophil_perc)
PSS010306|
African Ancestry|
1,285 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Eosinophil percentage partial-R2: 0.0 sex, age, deprivation index, PC1-16
PPM018130 PGS003530
(cont-decay-log_eosinophil_perc)
PSS010726|
African Ancestry|
2,085 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Eosinophil percentage partial-R2: 0.01 sex, age, deprivation index, PC1-16
PPM017626 PGS003530
(cont-decay-log_eosinophil_perc)
PSS010642|
European Ancestry|
3,283 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Eosinophil percentage partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM017962 PGS003530
(cont-decay-log_eosinophil_perc)
PSS010390|
East Asian Ancestry|
973 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Eosinophil percentage partial-R2: 0.02 sex, age, deprivation index, PC1-16
PPM017469 PGS003541
(cont-decay-log_leukocyte)
PSS010906|
European Ancestry|
19,415 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: White blood cell (leukocyte) count partial-R2: 0.12 sex, age, deprivation index, PC1-16
PPM017553 PGS003541
(cont-decay-log_leukocyte)
PSS010822|
European Ancestry|
3,991 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: White blood cell (leukocyte) count partial-R2: 0.11 sex, age, deprivation index, PC1-16
PPM017721 PGS003541
(cont-decay-log_leukocyte)
PSS010570|
Greater Middle Eastern Ancestry|
1,123 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: White blood cell (leukocyte) count partial-R2: 0.09 sex, age, deprivation index, PC1-16
PPM017805 PGS003541
(cont-decay-log_leukocyte)
PSS010234|
European Ancestry|
2,264 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: White blood cell (leukocyte) count partial-R2: 0.12 sex, age, deprivation index, PC1-16
PPM017889 PGS003541
(cont-decay-log_leukocyte)
PSS010486|
South Asian Ancestry|
6,026 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: White blood cell (leukocyte) count partial-R2: 0.1 sex, age, deprivation index, PC1-16
PPM018057 PGS003541
(cont-decay-log_leukocyte)
PSS010318|
African Ancestry|
2,330 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: White blood cell (leukocyte) count partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM018141 PGS003541
(cont-decay-log_leukocyte)
PSS010738|
African Ancestry|
3,682 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: White blood cell (leukocyte) count partial-R2: 0.02 sex, age, deprivation index, PC1-16
PPM017637 PGS003541
(cont-decay-log_leukocyte)
PSS010654|
European Ancestry|
6,278 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: White blood cell (leukocyte) count partial-R2: 0.11 sex, age, deprivation index, PC1-16
PPM017973 PGS003541
(cont-decay-log_leukocyte)
PSS010402|
East Asian Ancestry|
1,750 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: White blood cell (leukocyte) count partial-R2: 0.05 sex, age, deprivation index, PC1-16
PPM017472 PGS003544
(cont-decay-log_monocyte)
PSS010909|
European Ancestry|
19,376 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte count partial-R2: 0.15 sex, age, deprivation index, PC1-16
PPM017640 PGS003544
(cont-decay-log_monocyte)
PSS010657|
European Ancestry|
6,264 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte count partial-R2: 0.13 sex, age, deprivation index, PC1-16
PPM017724 PGS003544
(cont-decay-log_monocyte)
PSS010573|
Greater Middle Eastern Ancestry|
1,121 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte count partial-R2: 0.14 sex, age, deprivation index, PC1-16
PPM017808 PGS003544
(cont-decay-log_monocyte)
PSS010237|
European Ancestry|
2,256 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte count partial-R2: 0.14 sex, age, deprivation index, PC1-16
PPM017892 PGS003544
(cont-decay-log_monocyte)
PSS010489|
South Asian Ancestry|
6,008 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte count partial-R2: 0.1 sex, age, deprivation index, PC1-16
PPM017976 PGS003544
(cont-decay-log_monocyte)
PSS010405|
East Asian Ancestry|
1,748 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte count partial-R2: 0.07 sex, age, deprivation index, PC1-16
PPM018060 PGS003544
(cont-decay-log_monocyte)
PSS010321|
African Ancestry|
2,323 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte count partial-R2: 0.04 sex, age, deprivation index, PC1-16
PPM018144 PGS003544
(cont-decay-log_monocyte)
PSS010741|
African Ancestry|
3,670 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte count partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM017556 PGS003544
(cont-decay-log_monocyte)
PSS010825|
European Ancestry|
3,982 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte count partial-R2: 0.14 sex, age, deprivation index, PC1-16
PPM017473 PGS003545
(cont-decay-log_neutrophil)
PSS010910|
European Ancestry|
19,374 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neutrophil count partial-R2: 0.1 sex, age, deprivation index, PC1-16
PPM017557 PGS003545
(cont-decay-log_neutrophil)
PSS010826|
European Ancestry|
3,981 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neutrophil count partial-R2: 0.09 sex, age, deprivation index, PC1-16
PPM017641 PGS003545
(cont-decay-log_neutrophil)
PSS010658|
European Ancestry|
6,260 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neutrophil count partial-R2: 0.1 sex, age, deprivation index, PC1-16
PPM017725 PGS003545
(cont-decay-log_neutrophil)
PSS010574|
Greater Middle Eastern Ancestry|
1,119 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neutrophil count partial-R2: 0.09 sex, age, deprivation index, PC1-16
PPM017809 PGS003545
(cont-decay-log_neutrophil)
PSS010238|
European Ancestry|
2,259 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neutrophil count partial-R2: 0.11 sex, age, deprivation index, PC1-16
PPM017893 PGS003545
(cont-decay-log_neutrophil)
PSS010490|
South Asian Ancestry|
6,008 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neutrophil count partial-R2: 0.09 sex, age, deprivation index, PC1-16
PPM017977 PGS003545
(cont-decay-log_neutrophil)
PSS010406|
East Asian Ancestry|
1,749 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neutrophil count partial-R2: 0.04 sex, age, deprivation index, PC1-16
PPM018061 PGS003545
(cont-decay-log_neutrophil)
PSS010322|
African Ancestry|
2,323 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neutrophil count partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM018145 PGS003545
(cont-decay-log_neutrophil)
PSS010742|
African Ancestry|
3,668 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neutrophil count partial-R2: 0.02 sex, age, deprivation index, PC1-16
PPM017905 PGS003557
(cont-decay-lymphocyte_perc)
PSS010503|
South Asian Ancestry|
6,004 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Lymphocyte percentage partial-R2: 0.07 sex, age, deprivation index, PC1-16
PPM017485 PGS003557
(cont-decay-lymphocyte_perc)
PSS010923|
European Ancestry|
19,370 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Lymphocyte percentage partial-R2: 0.1 sex, age, deprivation index, PC1-16
PPM017569 PGS003557
(cont-decay-lymphocyte_perc)
PSS010839|
European Ancestry|
3,981 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Lymphocyte percentage partial-R2: 0.08 sex, age, deprivation index, PC1-16
PPM017737 PGS003557
(cont-decay-lymphocyte_perc)
PSS010587|
Greater Middle Eastern Ancestry|
1,120 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Lymphocyte percentage partial-R2: 0.08 sex, age, deprivation index, PC1-16
PPM017821 PGS003557
(cont-decay-lymphocyte_perc)
PSS010251|
European Ancestry|
2,258 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Lymphocyte percentage partial-R2: 0.09 sex, age, deprivation index, PC1-16
PPM017989 PGS003557
(cont-decay-lymphocyte_perc)
PSS010419|
East Asian Ancestry|
1,749 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Lymphocyte percentage partial-R2: 0.07 sex, age, deprivation index, PC1-16
PPM018073 PGS003557
(cont-decay-lymphocyte_perc)
PSS010335|
African Ancestry|
2,324 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Lymphocyte percentage partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM018157 PGS003557
(cont-decay-lymphocyte_perc)
PSS010755|
African Ancestry|
3,666 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Lymphocyte percentage partial-R2: 0.02 sex, age, deprivation index, PC1-16
PPM017653 PGS003557
(cont-decay-lymphocyte_perc)
PSS010671|
European Ancestry|
6,258 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Lymphocyte percentage partial-R2: 0.09 sex, age, deprivation index, PC1-16
PPM017574 PGS003562
(cont-decay-monocyte_perc)
PSS010845|
European Ancestry|
3,952 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte percentage partial-R2: 0.16 sex, age, deprivation index, PC1-16
PPM017658 PGS003562
(cont-decay-monocyte_perc)
PSS010677|
European Ancestry|
6,213 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte percentage partial-R2: 0.16 sex, age, deprivation index, PC1-16
PPM017826 PGS003562
(cont-decay-monocyte_perc)
PSS010257|
European Ancestry|
2,241 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte percentage partial-R2: 0.15 sex, age, deprivation index, PC1-16
PPM017910 PGS003562
(cont-decay-monocyte_perc)
PSS010509|
South Asian Ancestry|
5,958 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte percentage partial-R2: 0.1 sex, age, deprivation index, PC1-16
PPM017994 PGS003562
(cont-decay-monocyte_perc)
PSS010425|
East Asian Ancestry|
1,732 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte percentage partial-R2: 0.09 sex, age, deprivation index, PC1-16
PPM018078 PGS003562
(cont-decay-monocyte_perc)
PSS010341|
African Ancestry|
2,285 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte percentage partial-R2: 0.04 sex, age, deprivation index, PC1-16
PPM018162 PGS003562
(cont-decay-monocyte_perc)
PSS010761|
African Ancestry|
3,634 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte percentage partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM017490 PGS003562
(cont-decay-monocyte_perc)
PSS010929|
European Ancestry|
19,237 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte percentage partial-R2: 0.16 sex, age, deprivation index, PC1-16
PPM017742 PGS003562
(cont-decay-monocyte_perc)
PSS010593|
Greater Middle Eastern Ancestry|
1,114 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte percentage partial-R2: 0.16 sex, age, deprivation index, PC1-16
PPM017494 PGS003566
(cont-decay-neutrophil_perc)
PSS010933|
European Ancestry|
19,342 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neutrophil percentage partial-R2: 0.09 sex, age, deprivation index, PC1-16
PPM017662 PGS003566
(cont-decay-neutrophil_perc)
PSS010681|
European Ancestry|
6,254 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neutrophil percentage partial-R2: 0.08 sex, age, deprivation index, PC1-16
PPM017746 PGS003566
(cont-decay-neutrophil_perc)
PSS010597|
Greater Middle Eastern Ancestry|
1,117 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neutrophil percentage partial-R2: 0.09 sex, age, deprivation index, PC1-16
PPM017830 PGS003566
(cont-decay-neutrophil_perc)
PSS010261|
European Ancestry|
2,256 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neutrophil percentage partial-R2: 0.09 sex, age, deprivation index, PC1-16
PPM017914 PGS003566
(cont-decay-neutrophil_perc)
PSS010513|
South Asian Ancestry|
6,003 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neutrophil percentage partial-R2: 0.07 sex, age, deprivation index, PC1-16
PPM017998 PGS003566
(cont-decay-neutrophil_perc)
PSS010429|
East Asian Ancestry|
1,748 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neutrophil percentage partial-R2: 0.06 sex, age, deprivation index, PC1-16
PPM018082 PGS003566
(cont-decay-neutrophil_perc)
PSS010345|
African Ancestry|
2,321 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neutrophil percentage partial-R2: 0.02 sex, age, deprivation index, PC1-16
PPM018166 PGS003566
(cont-decay-neutrophil_perc)
PSS010765|
African Ancestry|
3,652 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neutrophil percentage partial-R2: 0.02 sex, age, deprivation index, PC1-16
PPM017578 PGS003566
(cont-decay-neutrophil_perc)
PSS010849|
European Ancestry|
3,977 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neutrophil percentage partial-R2: 0.09 sex, age, deprivation index, PC1-16
PPM018940 PGS003924
(INI30000)
PSS011109|
European Ancestry|
2,813 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: White blood cell (leukocyte) count : 0.09098 [0.07103, 0.11094]
PGS R2 (no covariates): 0.07615 [0.05759, 0.0947]
Incremental R2 (full-covars): 0.07328
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM018941 PGS003924
(INI30000)
PSS011113|
South Asian Ancestry|
1,433 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: White blood cell (leukocyte) count : 0.09373 [0.06559, 0.12186]
PGS R2 (no covariates): 0.08974 [0.06208, 0.11739]
Incremental R2 (full-covars): 0.08665
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM018942 PGS003924
(INI30000)
PSS011155|
African Ancestry|
1,157 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: White blood cell (leukocyte) count : 0.05083 [0.02681, 0.07484]
PGS R2 (no covariates): 0.04407 [0.02155, 0.06659]
Incremental R2 (full-covars): 0.04309
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM018943 PGS003924
(INI30000)
PSS011166|
Multi-ancestry (excluding European)|
7,746 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: White blood cell (leukocyte) count : 0.09843 [0.08604, 0.11081]
PGS R2 (no covariates): 0.08243 [0.0709, 0.09397]
Incremental R2 (full-covars): 0.07062
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM018939 PGS003924
(INI30000)
PSS011136|
European Ancestry|
65,932 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: White blood cell (leukocyte) count : 0.08905 [0.08496, 0.09315]
PGS R2 (no covariates): 0.07643 [0.07259, 0.08028]
Incremental R2 (full-covars): 0.07561
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM018999 PGS003936
(INI30120)
PSS011139|
European Ancestry|
65,814 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Lymphocyte count : 0.02749 [0.02507, 0.02992]
PGS R2 (no covariates): 0.02217 [0.01997, 0.02436]
Incremental R2 (full-covars): 0.02189
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019000 PGS003936
(INI30120)
PSS011110|
European Ancestry|
2,810 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Lymphocyte count : 0.03382 [0.02089, 0.04675]
PGS R2 (no covariates): 0.02699 [0.01535, 0.03862]
Incremental R2 (full-covars): 0.02644
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019001 PGS003936
(INI30120)
PSS011112|
South Asian Ancestry|
1,428 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Lymphocyte count : 0.05901 [0.03583, 0.08219]
PGS R2 (no covariates): 0.04232 [0.02234, 0.0623]
Incremental R2 (full-covars): 0.03929
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019002 PGS003936
(INI30120)
PSS011154|
African Ancestry|
1,154 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Lymphocyte count : 0.01861 [0.00358, 0.03363]
PGS R2 (no covariates): 0.00551 [-0.00278, 0.01379]
Incremental R2 (full-covars): -0.00495
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019003 PGS003936
(INI30120)
PSS011168|
Multi-ancestry (excluding European)|
7,732 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Lymphocyte count : 0.04696 [0.03792, 0.05601]
PGS R2 (no covariates): 0.02897 [0.02173, 0.0362]
Incremental R2 (full-covars): 0.02614
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019004 PGS003937
(INI30130)
PSS011139|
European Ancestry|
65,814 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Monocyte count : 0.12426 [0.11961, 0.12891]
PGS R2 (no covariates): 0.08189 [0.07793, 0.08585]
Incremental R2 (full-covars): 0.08198
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019005 PGS003937
(INI30130)
PSS011110|
European Ancestry|
2,810 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Monocyte count : 0.14509 [0.12139, 0.16879]
PGS R2 (no covariates): 0.0898 [0.06995, 0.10965]
Incremental R2 (full-covars): 0.08851
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019006 PGS003937
(INI30130)
PSS011112|
South Asian Ancestry|
1,428 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Monocyte count : 0.11251 [0.08232, 0.1427]
PGS R2 (no covariates): 0.07028 [0.04528, 0.09527]
Incremental R2 (full-covars): 0.06806
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019007 PGS003937
(INI30130)
PSS011154|
African Ancestry|
1,154 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Monocyte count : 0.0334 [0.01357, 0.05322]
PGS R2 (no covariates): 0.03342 [0.01359, 0.05325]
Incremental R2 (full-covars): 0.02807
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019008 PGS003937
(INI30130)
PSS011168|
Multi-ancestry (excluding European)|
7,732 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Monocyte count : 0.11068 [0.09772, 0.12363]
PGS R2 (no covariates): 0.07932 [0.06797, 0.09067]
Incremental R2 (full-covars): 0.06798
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019009 PGS003938
(INI30140)
PSS011139|
European Ancestry|
65,814 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Neutrophil count : 0.10887 [0.10444, 0.1133]
PGS R2 (no covariates): 0.09021 [0.0861, 0.09433]
Incremental R2 (full-covars): 0.08972
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019010 PGS003938
(INI30140)
PSS011110|
European Ancestry|
2,810 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Neutrophil count : 0.11328 [0.09156, 0.13501]
PGS R2 (no covariates): 0.09258 [0.07249, 0.11268]
Incremental R2 (full-covars): 0.09167
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019011 PGS003938
(INI30140)
PSS011112|
South Asian Ancestry|
1,428 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Neutrophil count : 0.0886 [0.06109, 0.11611]
PGS R2 (no covariates): 0.08009 [0.05369, 0.10649]
Incremental R2 (full-covars): 0.07779
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019012 PGS003938
(INI30140)
PSS011154|
African Ancestry|
1,154 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Neutrophil count : 0.07013 [0.0425, 0.09777]
PGS R2 (no covariates): 0.05672 [0.03151, 0.08193]
Incremental R2 (full-covars): 0.05374
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019013 PGS003938
(INI30140)
PSS011168|
Multi-ancestry (excluding European)|
7,732 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Neutrophil count : 0.10909 [0.0962, 0.12197]
PGS R2 (no covariates): 0.09632 [0.08404, 0.1086]
Incremental R2 (full-covars): 0.07245
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019014 PGS003939
(INI30150)
PSS011139|
European Ancestry|
65,814 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Eosinophil count : 0.10132 [0.09701, 0.10563]
PGS R2 (no covariates): 0.09268 [0.08852, 0.09684]
Incremental R2 (full-covars): 0.0925
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019015 PGS003939
(INI30150)
PSS011110|
European Ancestry|
2,810 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Eosinophil count : 0.08417 [0.06484, 0.10351]
PGS R2 (no covariates): 0.0719 [0.05379, 0.09001]
Incremental R2 (full-covars): 0.07156
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019016 PGS003939
(INI30150)
PSS011112|
South Asian Ancestry|
1,428 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Eosinophil count : 0.05308 [0.03095, 0.0752]
PGS R2 (no covariates): 0.048 [0.02685, 0.06916]
Incremental R2 (full-covars): 0.04773
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019017 PGS003939
(INI30150)
PSS011154|
African Ancestry|
1,154 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Eosinophil count : 0.01311 [0.00043, 0.0258]
PGS R2 (no covariates): 0.00652 [-0.00248, 0.01551]
Incremental R2 (full-covars): 0.00319
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019018 PGS003939
(INI30150)
PSS011168|
Multi-ancestry (excluding European)|
7,732 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Eosinophil count : 0.09274 [0.08064, 0.10484]
PGS R2 (no covariates): 0.06898 [0.05827, 0.07969]
Incremental R2 (full-covars): 0.06441
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019019 PGS003940
(INI30160)
PSS011139|
European Ancestry|
65,814 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Basophil count : 0.01943 [0.01737, 0.02149]
PGS R2 (no covariates): 0.01516 [0.01334, 0.01699]
Incremental R2 (full-covars): 0.01498
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019021 PGS003940
(INI30160)
PSS011112|
South Asian Ancestry|
1,428 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Basophil count : 0.00683 [-0.00149, 0.01515]
PGS R2 (no covariates): 0.00551 [-0.00198, 0.013]
Incremental R2 (full-covars): 0.00504
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019020 P