Trait: hematological measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004503
Description A measurement quantifying some blood cell, or component.
Trait category
Hematological measurement
Child trait(s) 28 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 "hematological measurement" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000088
(baso)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Basophil count basophil count 9,121
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000088/ScoringFiles/PGS000088.txt.gz
PGS000089
(baso_p)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Basophil percentage of white cells basophil percentage of leukocytes 5,248
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000089/ScoringFiles/PGS000089.txt.gz
PGS000090
(eo)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Eosinophil count eosinophil count 22,949
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000090/ScoringFiles/PGS000090.txt.gz
PGS000091
(eo_p)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Eosinophil percentage of white cells eosinophil percentage of leukocytes 24,406
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000091/ScoringFiles/PGS000091.txt.gz
PGS000092
(hct)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Hematocrit hematocrit 28,214
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000092/ScoringFiles/PGS000092.txt.gz
PGS000093
(hgb)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Hemoglobin concentration hemoglobin measurement 25,090
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000093/ScoringFiles/PGS000093.txt.gz
PGS000094
(hlr)
PGP000051 |
Xu Y et al. Cell Genom (2022)
High light scatter reticulocyte count reticulocyte count 25,493
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000094/ScoringFiles/PGS000094.txt.gz
PGS000095
(hlr_p)
PGP000051 |
Xu Y et al. Cell Genom (2022)
High light scatter reticulocyte percentage of red cells reticulocyte count 21,957
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000095/ScoringFiles/PGS000095.txt.gz
PGS000096
(irf)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Immature fraction of reticulocytes reticulocyte count 17,850
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000096/ScoringFiles/PGS000096.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
PGS000099
(mch)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Mean corpuscular hemoglobin mean corpuscular hemoglobin 27,081
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000099/ScoringFiles/PGS000099.txt.gz
PGS000100
(mchc)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Mean corpuscular hemoglobin concentration mean corpuscular hemoglobin concentration 11,832
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000100/ScoringFiles/PGS000100.txt.gz
PGS000101
(mcv)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Mean corpuscular volume mean corpuscular volume 25,001
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000101/ScoringFiles/PGS000101.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
PGS000104
(mpv)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Mean platelet volume mean platelet volume 25,745
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000104/ScoringFiles/PGS000104.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
PGS000107
(pct)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Plateletcrit platelet crit 30,459
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000107/ScoringFiles/PGS000107.txt.gz
PGS000108
(pdw)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Platelet distribution width platelet component distribution width 25,995
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000108/ScoringFiles/PGS000108.txt.gz
PGS000109
(plt)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Platelet count platelet count 26,683
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000109/ScoringFiles/PGS000109.txt.gz
PGS000110
(rbc)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Red blood cell count erythrocyte count 23,242
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000110/ScoringFiles/PGS000110.txt.gz
PGS000111
(ret)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reticulocyte count reticulocyte count 26,077
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000111/ScoringFiles/PGS000111.txt.gz
PGS000112
(ret_p)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reticulocyte fraction of red cells reticulocyte count 25,939
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000112/ScoringFiles/PGS000112.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
PGS000127
(GS-E-EUR)
PGP000064 |
Wheeler E et al. PLoS Med (2017)
Hemoglobin A1c HbA1c measurement 21
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000127/ScoringFiles/PGS000127.txt.gz
PGS000128
(GS-E-AFR)
PGP000064 |
Wheeler E et al. PLoS Med (2017)
Hemoglobin A1c HbA1c measurement 22
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000128/ScoringFiles/PGS000128.txt.gz
PGS000129
(GS-E-EAS)
PGP000064 |
Wheeler E et al. PLoS Med (2017)
Hemoglobin A1c HbA1c measurement 17
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000129/ScoringFiles/PGS000129.txt.gz
PGS000130
(GS-G-EUR)
PGP000064 |
Wheeler E et al. PLoS Med (2017)
Hemoglobin A1c HbA1c measurement 19
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000130/ScoringFiles/PGS000130.txt.gz
PGS000131
(GS-G-AFR)
PGP000064 |
Wheeler E et al. PLoS Med (2017)
Hemoglobin A1c HbA1c measurement 19
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000131/ScoringFiles/PGS000131.txt.gz
PGS000132
(GS-G-EAS)
PGP000064 |
Wheeler E et al. PLoS Med (2017)
Hemoglobin A1c HbA1c measurement 19
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000132/ScoringFiles/PGS000132.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
PGS000167
(hct)
PGP000078 |
Vuckovic D et al. Cell (2020)
Hematocrit hematocrit 502
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000167/ScoringFiles/PGS000167.txt.gz
PGS000168
(hgb)
PGP000078 |
Vuckovic D et al. Cell (2020)
Hemoglobin concentration hemoglobin measurement 515
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000168/ScoringFiles/PGS000168.txt.gz
PGS000169
(hlr)
PGP000078 |
Vuckovic D et al. Cell (2020)
High light scatter reticulocyte count reticulocyte count 570
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000169/ScoringFiles/PGS000169.txt.gz
PGS000170
(hlr_p)
PGP000078 |
Vuckovic D et al. Cell (2020)
High light scatter reticulocyte percentage of red cells reticulocyte count 566
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000170/ScoringFiles/PGS000170.txt.gz
PGS000171
(irf)
PGP000078 |
Vuckovic D et al. Cell (2020)
Immature fraction of reticulocytes reticulocyte count 372
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000171/ScoringFiles/PGS000171.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
PGS000174
(mch)
PGP000078 |
Vuckovic D et al. Cell (2020)
Mean corpuscular hemoglobin mean corpuscular hemoglobin 628
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000174/ScoringFiles/PGS000174.txt.gz
PGS000175
(mchc)
PGP000078 |
Vuckovic D et al. Cell (2020)
Mean corpuscular hemoglobin concentration mean corpuscular hemoglobin concentration 224
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000175/ScoringFiles/PGS000175.txt.gz
PGS000176
(mcv)
PGP000078 |
Vuckovic D et al. Cell (2020)
Mean corpuscular volume mean corpuscular volume 685
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000176/ScoringFiles/PGS000176.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
PGS000179
(mpv)
PGP000078 |
Vuckovic D et al. Cell (2020)
Mean platelet volume mean platelet volume 654
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000179/ScoringFiles/PGS000179.txt.gz
PGS000180
(mrv)
PGP000078 |
Vuckovic D et al. Cell (2020)
Mean reticulocyte volume mean reticulocyte volume 629
-
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000180/ScoringFiles/PGS000180.txt.gz
PGS000181
(mscv)
PGP000078 |
Vuckovic D et al. Cell (2020)
Mean sphered corpuscular volume mean corpuscular volume 761
-
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000181/ScoringFiles/PGS000181.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
PGS000184
(pct)
PGP000078 |
Vuckovic D et al. Cell (2020)
Plateletcrit platelet crit 700
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000184/ScoringFiles/PGS000184.txt.gz
PGS000185
(pdw)
PGP000078 |
Vuckovic D et al. Cell (2020)
Platelet distribution width platelet component distribution width 555
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000185/ScoringFiles/PGS000185.txt.gz
PGS000186
(plt)
PGP000078 |
Vuckovic D et al. Cell (2020)
Platelet count platelet count 739
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000186/ScoringFiles/PGS000186.txt.gz
PGS000187
(rbc)
PGP000078 |
Vuckovic D et al. Cell (2020)
Red blood cell count erythrocyte count 678
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000187/ScoringFiles/PGS000187.txt.gz
PGS000188
(rdw)
PGP000078 |
Vuckovic D et al. Cell (2020)
Red cell distribution width red blood cell distribution width 546
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000188/ScoringFiles/PGS000188.txt.gz
PGS000189
(ret)
PGP000078 |
Vuckovic D et al. Cell (2020)
Reticulocyte count reticulocyte count 555
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000189/ScoringFiles/PGS000189.txt.gz
PGS000190
(ret_p)
PGP000078 |
Vuckovic D et al. Cell (2020)
Reticulocyte fraction of red cells reticulocyte count 537
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000190/ScoringFiles/PGS000190.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
PGS000304
(GRS43_HbA1c)
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
HbA1c HbA1c measurement 43
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000304/ScoringFiles/PGS000304.txt.gz
PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
HbA1c [mmol/mol] HbA1c measurement 14,658
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000685/ScoringFiles/PGS000685.txt.gz - Check Terms/Licenses
PGS000698
(snpnet.Total_protein)
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Total protein [g/L] total blood protein measurement 16,420
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000698/ScoringFiles/PGS000698.txt.gz - Check Terms/Licenses
PGS000987
(GBE_INI30260)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Mean reticulocyte volume mean reticulocyte volume 13,277
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000987/ScoringFiles/PGS000987.txt.gz
PGS000988
(GBE_INI30290)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
High light scatter reticulocyte percentage reticulocyte measurement 7,184
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000988/ScoringFiles/PGS000988.txt.gz
PGS000989
(GBE_INI30240)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reticulocyte % reticulocyte measurement 6,251
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000989/ScoringFiles/PGS000989.txt.gz
PGS001076
(GBE_INI30210)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Eosinophill % eosinophil percentage of leukocytes 12,563
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001076/ScoringFiles/PGS001076.txt.gz
PGS001077
(GBE_INI30200)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Neutrophill % neutrophil percentage of leukocytes 13,703
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001077/ScoringFiles/PGS001077.txt.gz
PGS001078
(GBE_INI30190)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Monocyte % monocyte percentage of leukocytes 8,762
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001078/ScoringFiles/PGS001078.txt.gz
PGS001079
(GBE_INI30110)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Platelet distribution width platelet component distribution width 18,814
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001079/ScoringFiles/PGS001079.txt.gz
PGS001152
(GBE_INI30070)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Red blood cell distribution width red blood cell distribution width 10,179
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001152/ScoringFiles/PGS001152.txt.gz
PGS001163
(GBE_INI30130)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
Eosinophill count eosinophil count 12,579
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001172/ScoringFiles/PGS001172.txt.gz
PGS001173
(GBE_INI30140)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Neutrophill count neutrophil count 15,578
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001173/ScoringFiles/PGS001173.txt.gz
PGS001199
(GBE_INI30120)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Lymphocyte count lymphocyte count 4,212
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001199/ScoringFiles/PGS001199.txt.gz
PGS001200
(GBE_INI30100)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Mean platelet volume mean platelet volume 24,114
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001200/ScoringFiles/PGS001200.txt.gz
PGS001218
(GBE_INI30060)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Mean corpuscular haemoglobin concentration mean corpuscular hemoglobin concentration 2,359
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001218/ScoringFiles/PGS001218.txt.gz
PGS001219
(GBE_INI30050)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Mean corpuscular hemoglobin mean corpuscular hemoglobin 13,003
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001219/ScoringFiles/PGS001219.txt.gz
PGS001220
(GBE_INI30040)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Mean corpuscular volume mean corpuscular volume 17,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001220/ScoringFiles/PGS001220.txt.gz
PGS001225
(GBE_INI30030)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Percentage of hematocrit hematocrit 15,721
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001225/ScoringFiles/PGS001225.txt.gz
PGS001238
(GBE_INI30080)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Platelet count platelet count 24,893
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001238/ScoringFiles/PGS001238.txt.gz
PGS001239
(GBE_INI30000)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
White blood cell count leukocyte count 13,785
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001239/ScoringFiles/PGS001239.txt.gz
PGS001240
(GBE_INI30010)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Red blood cell count erythrocyte count 20,480
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001240/ScoringFiles/PGS001240.txt.gz
PGS001352
(MAGICTA_EUR_PGS_HbA1c)
PGP000246 |
Chen J et al. Nat Genet (2021)
Glycated haemoglobin levels (HbA1c) HbA1c measurement 1,018,836
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001352/ScoringFiles/PGS001352.txt.gz
PGS001377
(GBE_INI30220)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Basophill % basophil percentage of leukocytes 3,205
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001377/ScoringFiles/PGS001377.txt.gz
PGS001378
(GBE_INI30160)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Basophill count basophil count 3,050
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001378/ScoringFiles/PGS001378.txt.gz
PGS001400
(GBE_INI30020)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Haemoglobin concentration hemoglobin measurement 15,602
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001400/ScoringFiles/PGS001400.txt.gz
PGS001406
(GBE_INI30300)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
High light scatter reticulocyte count reticulocyte measurement 15,856
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001406/ScoringFiles/PGS001406.txt.gz
PGS001408
(GBE_INI30280)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Immature reticulocyte fraction Immature Reticulocyte Fraction Measurement 10,871
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001408/ScoringFiles/PGS001408.txt.gz
PGS001414
(GBE_INI30180)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Lymphocyte % lymphocyte percentage of leukocytes 15,143
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001414/ScoringFiles/PGS001414.txt.gz
PGS001517
(GBE_INI30090)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Platelet crit platelet crit 20,910
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001517/ScoringFiles/PGS001517.txt.gz
PGS001528
(GBE_INI30250)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reticulocyte count reticulocyte count 6,262
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001528/ScoringFiles/PGS001528.txt.gz
PGS001908
(portability-PLR_erythrocyte_width)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Red blood cell (erythrocyte) distribution width red blood cell distribution width 32,431
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001908/ScoringFiles/PGS001908.txt.gz
PGS001909
(portability-PLR_erythrocyte)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Red blood cell (erythrocyte) count erythrocyte count 81,887
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001909/ScoringFiles/PGS001909.txt.gz
PGS001925
(portability-PLR_haematocrit_perc)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Haematocrit percentage hematocrit 67,571
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001925/ScoringFiles/PGS001925.txt.gz
PGS001926
(portability-PLR_haemoglobin)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Haemoglobin concentration hemoglobin measurement 69,467
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001926/ScoringFiles/PGS001926.txt.gz
PGS001930
(portability-PLR_immature_reticulocyte_frac)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Immature reticulocyte fraction Immature Reticulocyte Fraction Measurement 39,162
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001930/ScoringFiles/PGS001930.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
PGS001953
(portability-PLR_log_HbA1c)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Glycated haemoglobin (HbA1c) HbA1c measurement 46,566
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001953/ScoringFiles/PGS001953.txt.gz
PGS001959
(portability-PLR_log_HLR_reticulocyte)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
High light scatter reticulocyte count reticulocyte measurement 78,803
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001959/ScoringFiles/PGS001959.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
PGS001970
(portability-PLR_log_platelet_crit)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Platelet crit platelet crit 56,402
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001970/ScoringFiles/PGS001970.txt.gz
PGS001971
(portability-PLR_log_platelet_volume)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Mean platelet (thrombocyte) volume mean platelet volume 65,450
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001971/ScoringFiles/PGS001971.txt.gz
PGS001972
(portability-PLR_log_platelet_width)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Platelet distribution width platelet component distribution width 46,157
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001972/ScoringFiles/PGS001972.txt.gz
PGS001973
(portability-PLR_log_platelet)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Platelet count platelet count 60,665
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001973/ScoringFiles/PGS001973.txt.gz
PGS001976
(portability-PLR_log_reticulocyte)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reticulocyte count reticulocyte count 75,033
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001976/ScoringFiles/PGS001976.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
PGS001989
(portability-PLR_MCH)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Mean corpuscular haemoglobin mean corpuscular hemoglobin 44,174
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001989/ScoringFiles/PGS001989.txt.gz
PGS001990
(portability-PLR_MCV)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Mean corpuscular volume mean corpuscular volume 47,916
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001990/ScoringFiles/PGS001990.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
PGS002001
(portability-PLR_protein)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Total protein total blood protein measurement 69,557
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002001/ScoringFiles/PGS002001.txt.gz
PGS002003
(portability-PLR_reticulocyte_volume)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Mean reticulocyte volume mean reticulocyte volume 24,536
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002003/ScoringFiles/PGS002003.txt.gz
PGS002008
(portability-PLR_sphered_cell_volume)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Mean sphered cell volume hematological measurement 50,360
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002008/ScoringFiles/PGS002008.txt.gz
PGS002122
(portability-ldpred2_erythrocyte_width)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Red blood cell (erythrocyte) distribution width red blood cell distribution width 543,714
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002122/ScoringFiles/PGS002122.txt.gz
PGS002123
(portability-ldpred2_erythrocyte)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Red blood cell (erythrocyte) count erythrocyte count 788,123
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002123/ScoringFiles/PGS002123.txt.gz
PGS002141
(portability-ldpred2_haematocrit_perc)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Haematocrit percentage hematocrit 797,804
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002141/ScoringFiles/PGS002141.txt.gz
PGS002142
(portability-ldpred2_haemoglobin)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Haemoglobin concentration hemoglobin measurement 786,386
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002142/ScoringFiles/PGS002142.txt.gz
PGS002147
(portability-ldpred2_immature_reticulocyte_frac)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Immature reticulocyte fraction Immature Reticulocyte Fraction Measurement 664,696
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002147/ScoringFiles/PGS002147.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
PGS002171
(portability-ldpred2_log_HbA1c)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Glycated haemoglobin (HbA1c) HbA1c measurement 736,730
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002171/ScoringFiles/PGS002171.txt.gz
PGS002177
(portability-ldpred2_log_HLR_reticulocyte)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
High light scatter reticulocyte count reticulocyte measurement 780,048
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002177/ScoringFiles/PGS002177.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
PGS002188
(portability-ldpred2_log_platelet_crit)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Platelet crit platelet crit 703,576
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002188/ScoringFiles/PGS002188.txt.gz
PGS002189
(portability-ldpred2_log_platelet_volume)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Mean platelet (thrombocyte) volume mean platelet volume 462,934
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002189/ScoringFiles/PGS002189.txt.gz
PGS002190
(portability-ldpred2_log_platelet_width)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Platelet distribution width platelet component distribution width 482,649
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002190/ScoringFiles/PGS002190.txt.gz
PGS002191
(portability-ldpred2_log_platelet)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Platelet count platelet count 663,591
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002191/ScoringFiles/PGS002191.txt.gz
PGS002194
(portability-ldpred2_log_reticulocyte)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reticulocyte count reticulocyte count 773,305
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002194/ScoringFiles/PGS002194.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
PGS002206
(portability-ldpred2_MCH)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Mean corpuscular haemoglobin mean corpuscular hemoglobin 504,929
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002206/ScoringFiles/PGS002206.txt.gz
PGS002207
(portability-ldpred2_MCV)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Mean corpuscular volume mean corpuscular volume 564,228
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002207/ScoringFiles/PGS002207.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
PGS002219
(portability-ldpred2_protein)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Total protein total blood protein measurement 819,013
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002219/ScoringFiles/PGS002219.txt.gz
PGS002221
(portability-ldpred2_reticulocyte_volume)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Mean reticulocyte volume mean reticulocyte volume 523,074
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002221/ScoringFiles/PGS002221.txt.gz
PGS002227
(portability-ldpred2_sphered_cell_volume)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Mean sphered cell volume hematological measurement 630,576
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002227/ScoringFiles/PGS002227.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)
PPM000216 PGS000092
(hct)
PSS000157|
European Ancestry|
81,622 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Hematocrit Pearson correlation coefficent (r): 0.36874 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)
PPM000217 PGS000092
(hct)
PSS000131|
European Ancestry|
40,340 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Hematocrit Pearson correlation coefficent (r): 0.29832 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)
PPM000218 PGS000093
(hgb)
PSS000158|
European Ancestry|
81,548 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Hemoglobin concentration Pearson correlation coefficent (r): 0.37936 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)
PPM000219 PGS000093
(hgb)
PSS000132|
European Ancestry|
40,329 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Hemoglobin concentration Pearson correlation coefficent (r): 0.30254 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)
PPM000220 PGS000094
(hlr)
PSS000159|
European Ancestry|
80,067 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: High light scatter reticulocyte count Pearson correlation coefficent (r): 0.4559 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)
PPM000221 PGS000094
(hlr)
PSS000133|
European Ancestry|
40,244 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: High light scatter reticulocyte count Pearson correlation coefficent (r): 0.40097 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)
PPM000222 PGS000095
(hlr_p)
PSS000160|
European Ancestry|
80,088 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: High light scatter reticulocyte percentage of red cells Pearson correlation coefficent (r): 0.46291 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)
PPM000223 PGS000095
(hlr_p)
PSS000134|
European Ancestry|
40,225 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: High light scatter reticulocyte percentage of red cells Pearson correlation coefficent (r): 0.40544 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)
PPM000224 PGS000096
(irf)
PSS000161|
European Ancestry|
79,282 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Immature fraction of reticulocytes Pearson correlation coefficent (r): 0.35972 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)
PPM000225 PGS000096
(irf)
PSS000135|
European Ancestry|
40,227 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Immature fraction of reticulocytes Pearson correlation coefficent (r): 0.36441 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)
PPM000230 PGS000099
(mch)
PSS000164|
European Ancestry|
81,303 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Mean corpuscular hemoglobin Pearson correlation coefficent (r): 0.54504 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)
PPM000231 PGS000099
(mch)
PSS000138|
European Ancestry|
40,108 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Mean corpuscular hemoglobin Pearson correlation coefficent (r): 0.49689 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)
PPM000232 PGS000100
(mchc)
PSS000165|
European Ancestry|
81,570 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Mean corpuscular hemoglobin concentration Pearson correlation coefficent (r): 0.2805 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)
PPM000233 PGS000100
(mchc)
PSS000139|
European Ancestry|
40,265 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Mean corpuscular hemoglobin concentration Pearson correlation coefficent (r): 0.29105 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)
PPM000234 PGS000101
(mcv)
PSS000166|
European Ancestry|
81,431 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Mean corpuscular volume Pearson correlation coefficent (r): 0.5624 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)
PPM000235 PGS000101
(mcv)
PSS000140|
European Ancestry|
40,080 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Mean corpuscular volume Pearson correlation coefficent (r): 0.47754 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)
PPM000240 PGS000104
(mpv)
PSS000169|
European Ancestry|
78,320 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Mean platelet volume Pearson correlation coefficent (r): 0.61214 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)
PPM000241 PGS000104
(mpv)
PSS000143|
European Ancestry|
37,224 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Mean platelet volume Pearson correlation coefficent (r): 0.60875 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)
PPM000246 PGS000107
(pct)
PSS000172|
European Ancestry|
78,161 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Plateletcrit Pearson correlation coefficent (r): 0.49284 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)
PPM000247 PGS000107
(pct)
PSS000146|
European Ancestry|
37,306 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Plateletcrit Pearson correlation coefficent (r): 0.48865 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)
PPM000248 PGS000108
(pdw)
PSS000173|
European Ancestry|
78,290 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Platelet distribution width Pearson correlation coefficent (r): 0.49624 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)
PPM000249 PGS000108
(pdw)
PSS000147|
European Ancestry|
37,262 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Platelet distribution width Pearson correlation coefficent (r): 0.28359 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)
PPM000250 PGS000109
(plt)
PSS000174|
European Ancestry|
78,246 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Platelet count Pearson correlation coefficent (r): 0.52039 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)
PPM000251 PGS000109
(plt)
PSS000148|
European Ancestry|
38,939 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Platelet count Pearson correlation coefficent (r): 0.53746 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)
PPM000252 PGS000110
(rbc)
PSS000175|
European Ancestry|
81,614 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Red blood cell count Pearson correlation coefficent (r): 0.45067 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)
PPM000253 PGS000110
(rbc)
PSS000149|
European Ancestry|
40,262 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Red blood cell count Pearson correlation coefficent (r): 0.42574 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)
PPM000254 PGS000111
(ret)
PSS000176|
European Ancestry|
79,344 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Reticulocyte count Pearson correlation coefficent (r): 0.45071 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)
PPM000255 PGS000111
(ret)
PSS000150|
European Ancestry|
40,253 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Reticulocyte count Pearson correlation coefficent (r): 0.44742 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)
PPM000256 PGS000112
(ret_p)
PSS000177|
European Ancestry|
79,362 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Reticulocyte fraction of red cells Pearson correlation coefficent (r): 0.45239 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)
PPM000257 PGS000112
(ret_p)
PSS000151|
European Ancestry|
40,286 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Reticulocyte fraction of red cells Pearson correlation coefficent (r): 0.45318 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)
PPM000407 PGS000127
(GS-E-EUR)
PSS000236|
European Ancestry|
37,357 individuals
PGP000064 |
Wheeler E et al. PLoS Med (2017)
Reported Trait: Incident type 2 diabetes OR: 1.0 [0.99, 1.01] age, sex
PPM000408 PGS000128
(GS-E-AFR)
PSS000234|
African Ancestry|
1,906 individuals
PGP000064 |
Wheeler E et al. PLoS Med (2017)
Reported Trait: Incident type 2 diabetes OR: 0.98 [0.96, 1.0] age, sex
PPM000409 PGS000129
(GS-E-EAS)
PSS000235|
East Asian Ancestry|
5,073 individuals
PGP000064 |
Wheeler E et al. PLoS Med (2017)
Reported Trait: Incident type 2 diabetes OR: 1.02 [0.99, 1.05] age, sex
PPM000410 PGS000130
(GS-G-EUR)
PSS000236|
European Ancestry|
37,357 individuals
PGP000064 |
Wheeler E et al. PLoS Med (2017)
Reported Trait: Incident type 2 diabetes OR: 1.05 [1.04, 1.06] age, sex
PPM000411 PGS000131
(GS-G-AFR)
PSS000234|
African Ancestry|
1,906 individuals
PGP000064 |
Wheeler E et al. PLoS Med (2017)
Reported Trait: Incident type 2 diabetes OR: 1.0 [0.95, 1.05] age, sex
PPM000412 PGS000132
(GS-G-EAS)
PSS000235|
East Asian Ancestry|
5,073 individuals
PGP000064 |
Wheeler E et al. PLoS Med (2017)
Reported Trait: Incident type 2 diabetes OR: 1.05 [1.02, 1.07] age, sex
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
PPM001777 PGS000167
(hct)
PSS000911|
Greater Middle Eastern Ancestry|
13,989 individuals
PGP000147 |
Thareja G et al. Nat Commun (2021)
|Ext.
Reported Trait: Hematocrit Pearson correlation coefficent (r): 0.15
PPM000548 PGS000167
(hct)
PSS000290|
European Ancestry|
2,314 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Hematocrit : 0.05147 sex, age, 10 genetic PCs
PPM000523 PGS000167
(hct)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Hematocrit : 0.04931 sex, age, 10 genetic PCs
PPM001778 PGS000168
(hgb)
PSS000911|
Greater Middle Eastern Ancestry|
13,989 individuals
PGP000147 |
Thareja G et al. Nat Commun (2021)
|Ext.
Reported Trait: Hemoglobin Pearson correlation coefficent (r): 0.14
PPM000549 PGS000168
(hgb)
PSS000290|
European Ancestry|
2,314 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Hemoglobin concentration : 0.0646 sex, age, 10 genetic PCs
PPM000524 PGS000168
(hgb)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Hemoglobin concentration : 0.05697 sex, age, 10 genetic PCs
PPM000525 PGS000169
(hlr)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: High light scatter reticulocyte count : 0.11896 sex, age, 10 genetic PCs
PPM000526 PGS000170
(hlr_p)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: High light scatter reticulocyte percentage of red cells : 0.12799 sex, age, 10 genetic PCs
PPM000527 PGS000171
(irf)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Immature fraction of reticulocytes : 0.09164 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
PPM000552 PGS000174
(mch)
PSS000290|
European Ancestry|
2,314 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Mean corpuscular hemoglobin : 0.17483 sex, age, 10 genetic PCs
PPM000530 PGS000174
(mch)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Mean corpuscular hemoglobin : 0.18282 sex, age, 10 genetic PCs
PPM001773 PGS000174
(mch)
PSS000911|
Greater Middle Eastern Ancestry|
13,989 individuals
PGP000147 |
Thareja G et al. Nat Commun (2021)
|Ext.
Reported Trait: Mean corpuscular hemoglobin Pearson correlation coefficent (r): 0.22
PPM000551 PGS000175
(mchc)
PSS000290|
European Ancestry|
2,314 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Mean corpuscular hemoglobin concentration : 0.04796 sex, age, 10 genetic PCs
PPM000531 PGS000175
(mchc)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Mean corpuscular hemoglobin concentration : 0.05159 sex, age, 10 genetic PCs
PPM001772 PGS000175
(mchc)
PSS000911|
Greater Middle Eastern Ancestry|
13,989 individuals
PGP000147 |
Thareja G et al. Nat Commun (2021)
|Ext.
Reported Trait: Mean cell hemoglobin concentration Pearson correlation coefficent (r): 0.12
PPM000553 PGS000176
(mcv)
PSS000290|
European Ancestry|
2,314 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Mean corpuscular volume : 0.1665 sex, age, 10 genetic PCs
PPM000532 PGS000176
(mcv)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Mean corpuscular volume : 0.15931 sex, age, 10 genetic PCs
PPM001774 PGS000176
(mcv)
PSS000911|
Greater Middle Eastern Ancestry|
13,989 individuals
PGP000147 |
Thareja G et al. Nat Commun (2021)
|Ext.
Reported Trait: Mean corpuscular volume Pearson correlation coefficent (r): 0.23
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
PPM000555 PGS000179
(mpv)
PSS000290|
European Ancestry|
2,314 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Mean platelet volume : 0.19379 sex, age, 10 genetic PCs
PPM000535 PGS000179
(mpv)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Mean platelet volume : 0.27306 sex, age, 10 genetic PCs
PPM001776 PGS000179
(mpv)
PSS000911|
Greater Middle Eastern Ancestry|
13,989 individuals
PGP000147 |
Thareja G et al. Nat Commun (2021)
|Ext.
Reported Trait: Mean platelet volume Pearson correlation coefficent (r): 0.51
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
PPM000538 PGS000184
(pct)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Plateletcrit : 0.1555 sex, age, 10 genetic PCs
PPM000539 PGS000185
(pdw)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Platelet distribution width : 0.05996 sex, age, 10 genetic PCs
PPM001775 PGS000186
(plt)
PSS000911|
Greater Middle Eastern Ancestry|
13,989 individuals
PGP000147 |
Thareja G et al. Nat Commun (2021)
|Ext.
Reported Trait: Platelet count Pearson correlation coefficent (r): 0.35
PPM000557 PGS000186
(plt)
PSS000290|
European Ancestry|
2,314 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Platelet count : 0.16049 sex, age, 10 genetic PCs
PPM000540 PGS000186
(plt)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Platelet count : 0.19195 sex, age, 10 genetic PCs
PPM000558 PGS000187
(rbc)
PSS000290|
European Ancestry|
2,314 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Red blood cell count : 0.06798 sex, age, 10 genetic PCs
PPM000541 PGS000187
(rbc)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Red blood cell count : 0.11765 sex, age, 10 genetic PCs
PPM001771 PGS000187
(rbc)
PSS000911|
Greater Middle Eastern Ancestry|
13,989 individuals
PGP000147 |
Thareja G et al. Nat Commun (2021)
|Ext.
Reported Trait: Red blood cell count Pearson correlation coefficent (r): 0.22
PPM000559 PGS000188
(rdw)
PSS000290|
European Ancestry|
2,314 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Red cell distribution width : 0.07409 sex, age, 10 genetic PCs
PPM000542 PGS000188
(rdw)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Red cell distribution width : 0.09519 sex, age, 10 genetic PCs
PPM000543 PGS000189
(ret)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Reticulocyte count : 0.14142 sex, age, 10 genetic PCs
PPM000544 PGS000190
(ret_p)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Reticulocyte fraction of red cells : 0.15022 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
PPM000774 PGS000304
(GRS43_HbA1c)
PSS000376|
European Ancestry|
1,354 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: HbA1c (%) : 0.0283 Sex, age, age^2
PPM000803 PGS000304
(GRS43_HbA1c)
PSS000371|
European Ancestry|
288 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: HbA1c (%) : 0.0277 Sex, age, age^2
PPM001413 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
PSS000704|
African Ancestry|
4,847 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: HbA1c [mmol/mol] : 0.07974
Spearman's ρ: 0.132
Age, sex, PCs(1-40)
PPM001448 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
PSS000705|
East Asian Ancestry|
1,032 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: HbA1c [mmol/mol] : 0.16979
Spearman's ρ: 0.285
Age, sex, PCs(1-40)
PPM001483 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
PSS000706|
European Ancestry|
22,518 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: HbA1c [mmol/mol] : 0.17335
Spearman's ρ: 0.367
Age, sex, PCs(1-40)
PPM001518 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
PSS000707|
South Asian Ancestry|
6,895 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: HbA1c [mmol/mol] : 0.12743
Spearman's ρ: 0.268
Age, sex, PCs(1-40)
PPM001553 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
PSS000708|
European Ancestry|
60,920 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: HbA1c [mmol/mol] : 0.16381
Spearman's ρ: 0.375
Age, sex, PCs(1-40)
PPM001585 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
PSS000817|
European Ancestry|
1,995 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: HbA1c [mmol/mol] Spearman's ρ: 0.217 Age, sex
PPM007350 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
PSS007156|
African Ancestry|
5,219 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Ext.|Pre
Reported Trait: Glycated haemoglobin (HbA1c) : 0.05396 [0.04328, 0.06464]
Incremental R2 (full-covars): 0.00054
PGS R2 (no covariates): 0.00619 [0.00239, 0.00998]
age, sex, UKB array type, Genotype PCs
PPM007351 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
PSS007157|
East Asian Ancestry|
1,622 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Ext.|Pre
Reported Trait: Glycated haemoglobin (HbA1c) : 0.1264 [0.09696, 0.15583]
Incremental R2 (full-covars): 0.00207
PGS R2 (no covariates): 0.04145 [0.02295, 0.05994]
age, sex, UKB array type, Genotype PCs
PPM007352 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
PSS007158|
European Ancestry|
23,762 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Ext.|Pre
Reported Trait: Glycated haemoglobin (HbA1c) : 0.06205 [0.05625, 0.06785]
Incremental R2 (full-covars): 0.00348
PGS R2 (no covariates): 0.06567 [0.05972, 0.07162]
age, sex, UKB array type, Genotype PCs
PPM007353 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
PSS007159|
South Asian Ancestry|
7,345 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Ext.|Pre
Reported Trait: Glycated haemoglobin (HbA1c) : 0.05344 [0.04375, 0.06313]
Incremental R2 (full-covars): 0.00135
PGS R2 (no covariates): 0.03576 [0.02769, 0.04383]
age, sex, UKB array type, Genotype PCs
PPM007354 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
PSS007160|
European Ancestry|
64,432 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Ext.|Pre
Reported Trait: Glycated haemoglobin (HbA1c) : 0.05264 [0.04936, 0.05592]
Incremental R2 (full-covars): 0.00369
PGS R2 (no covariates): 0.06933 [0.06563, 0.07303]
age, sex, UKB array type, Genotype PCs
PPM001426 PGS000698
(snpnet.Total_protein)
PSS000767|
African Ancestry|
5,573 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Total protein [g/L] : 0.04363
Spearman's ρ: 0.144
Age, sex, PCs(1-40)
PPM001531 PGS000698
(snpnet.Total_protein)
PSS000770|
South Asian Ancestry|
6,687 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Total protein [g/L] : 0.10522
Spearman's ρ: 0.258
Age, sex, PCs(1-40)
PPM001566 PGS000698
(snpnet.Total_protein)
PSS000771|
European Ancestry|
58,196 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Total protein [g/L] : 0.11218
Spearman's ρ: 0.284
Age, sex, PCs(1-40)
PPM001461 PGS000698
(snpnet.Total_protein)
PSS000768|
East Asian Ancestry|
984 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Total protein [g/L] : 0.09275
Spearman's ρ: 0.247
Age, sex, PCs(1-40)
PPM001496 PGS000698
(snpnet.Total_protein)
PSS000769|
European Ancestry|
21,516 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Total protein [g/L] : 0.11654
Spearman's ρ: 0.282
Age, sex, PCs(1-40)
PPM007415 PGS000698
(snpnet.Total_protein)
PSS007201|
African Ancestry|
5,659 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Ext.|Pre
Reported Trait: Total protein : 0.01038 [0.00548, 0.01528]
Incremental R2 (full-covars): 0.00061
PGS R2 (no covariates): 0.02117 [0.01425, 0.0281]
age, sex, UKB array type, Genotype PCs
PPM007416 PGS000698
(snpnet.Total_protein)
PSS007202|
East Asian Ancestry|
1,474 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Ext.|Pre
Reported Trait: Total protein : 0.04549 [0.0262, 0.06478]
Incremental R2 (full-covars): 0.00107
PGS R2 (no covariates): 0.05677 [0.03548, 0.07807]
age, sex, UKB array type, Genotype PCs
PPM007417 PGS000698
(snpnet.Total_protein)
PSS007203|
European Ancestry|
21,730 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Ext.|Pre
Reported Trait: Total protein : 0.01493 [0.01194, 0.01792]
Incremental R2 (full-covars): 0.00167
PGS R2 (no covariates): 0.07937 [0.07293, 0.08581]
age, sex, UKB array type, Genotype PCs
PPM007418 PGS000698
(snpnet.Total_protein)
PSS007204|
South Asian Ancestry|
6,788 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Ext.|Pre
Reported Trait: Total protein : 0.01363 [0.00853, 0.01873]
Incremental R2 (full-covars): 0.00134
PGS R2 (no covariates): 0.0679 [0.05715, 0.07866]
age, sex, UKB array type, Genotype PCs
PPM007419 PGS000698
(snpnet.Total_protein)
PSS007205|
European Ancestry|
59,024 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Ext.|Pre
Reported Trait: Total protein : 0.00668 [0.00545, 0.0079]
Incremental R2 (full-covars): 0.00176
PGS R2 (no covariates): 0.08081 [0.07687, 0.08476]
age, sex, UKB array type, Genotype PCs
PPM007703 PGS000987
(GBE_INI30260)
PSS007026|
African Ancestry|
5,973 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean reticulocyte volume : 0.03718 [0.02815, 0.0462]
Incremental R2 (full-covars): 0.02777
PGS R2 (no covariates): 0.02867 [0.02068, 0.03667]
age, sex, UKB array type, Genotype PCs
PPM007704 PGS000987
(GBE_INI30260)
PSS007027|
East Asian Ancestry|
1,623 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean reticulocyte volume : 0.08812 [0.06247, 0.11377]
Incremental R2 (full-covars): 0.07173
PGS R2 (no covariates): 0.07447 [0.05053, 0.0984]
age, sex, UKB array type, Genotype PCs
PPM007705 PGS000987
(GBE_INI30260)
PSS007028|
European Ancestry|
23,687 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean reticulocyte volume : 0.1616 [0.15323, 0.16997]
Incremental R2 (full-covars): 0.14435
PGS R2 (no covariates): 0.1455 [0.1374, 0.15359]
age, sex, UKB array type, Genotype PCs
PPM007706 PGS000987
(GBE_INI30260)
PSS007029|
South Asian Ancestry|
7,323 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean reticulocyte volume : 0.13294 [0.11894, 0.14694]
Incremental R2 (full-covars): 0.09343
PGS R2 (no covariates): 0.09786 [0.08537, 0.11036]
age, sex, UKB array type, Genotype PCs
PPM007707 PGS000987
(GBE_INI30260)
PSS007030|
European Ancestry|
64,570 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean reticulocyte volume : 0.15675 [0.15171, 0.16179]
Incremental R2 (full-covars): 0.14554
PGS R2 (no covariates): 0.14631 [0.14138, 0.15124]
age, sex, UKB array type, Genotype PCs
PPM007708 PGS000988
(GBE_INI30290)
PSS007036|
African Ancestry|
5,974 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: High light scatter reticulocyte % : 0.02767 [0.0198, 0.03553]
Incremental R2 (full-covars): 0.01965
PGS R2 (no covariates): 0.01997 [0.01324, 0.0267]
age, sex, UKB array type, Genotype PCs
PPM007709 PGS000988
(GBE_INI30290)
PSS007037|
East Asian Ancestry|
1,623 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: High light scatter reticulocyte % : 0.05671 [0.03542, 0.07799]
Incremental R2 (full-covars): 0.04573
PGS R2 (no covariates): 0.04876 [0.02885, 0.06866]
age, sex, UKB array type, Genotype PCs
PPM007710 PGS000988
(GBE_INI30290)
PSS007038|
European Ancestry|
23,681 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: High light scatter reticulocyte % : 0.08594 [0.07929, 0.0926]
Incremental R2 (full-covars): 0.07798
PGS R2 (no covariates): 0.07863 [0.07222, 0.08505]
age, sex, UKB array type, Genotype PCs
PPM007711 PGS000988
(GBE_INI30290)
PSS007039|
South Asian Ancestry|
7,321 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: High light scatter reticulocyte % : 0.07357 [0.06245, 0.0847]
Incremental R2 (full-covars): 0.06049
PGS R2 (no covariates): 0.06609 [0.05546, 0.07672]
age, sex, UKB array type, Genotype PCs
PPM007712 PGS000988
(GBE_INI30290)
PSS007040|
European Ancestry|
64,524 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: High light scatter reticulocyte % : 0.01671 [0.0148, 0.01863]
Incremental R2 (full-covars): 0.01605
PGS R2 (no covariates): 0.016 [0.01412, 0.01788]
age, sex, UKB array type, Genotype PCs
PPM007713 PGS000989
(GBE_INI30240)
PSS007016|
African Ancestry|
5,974 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Reticulocyte % : 0.01993 [0.01321, 0.02666]
Incremental R2 (full-covars): 0.01309
PGS R2 (no covariates): 0.01384 [0.0082, 0.01948]
age, sex, UKB array type, Genotype PCs
PPM007714 PGS000989
(GBE_INI30240)
PSS007017|
East Asian Ancestry|
1,623 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Reticulocyte % : 0.05032 [0.03013, 0.0705]
Incremental R2 (full-covars): 0.03871
PGS R2 (no covariates): 0.03842 [0.02056, 0.05628]
age, sex, UKB array type, Genotype PCs
PPM007715 PGS000989
(GBE_INI30240)
PSS007018|
European Ancestry|
23,688 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Reticulocyte % : 0.0318 [0.02751, 0.03609]
Incremental R2 (full-covars): 0.02883
PGS R2 (no covariates): 0.02905 [0.02494, 0.03316]
age, sex, UKB array type, Genotype PCs
PPM007716 PGS000989
(GBE_INI30240)
PSS007019|
South Asian Ancestry|
7,323 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Reticulocyte % : 0.03312 [0.02533, 0.04091]
Incremental R2 (full-covars): 0.02678
PGS R2 (no covariates): 0.02784 [0.02066, 0.03502]
age, sex, UKB array type, Genotype PCs
PPM007717 PGS000989
(GBE_INI30240)
PSS007020|
European Ancestry|
64,569 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Reticulocyte % : 0.02928 [0.02677, 0.03179]
Incremental R2 (full-covars): 0.02823
PGS R2 (no covariates): 0.02826 [0.0258, 0.03073]
age, sex, UKB array type, Genotype PCs
PPM008138 PGS001076
(GBE_INI30210)
PSS007006|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
Reported Trait: Neutrophill % : 0.04156 [0.03206, 0.05106]
Incremental R2 (full-covars): 0.01344
PGS R2 (no covariates): 0.01383 [0.00819, 0.01946]
age, sex, UKB array type, Genotype PCs
PPM008144 PGS001077
(GBE_INI30200)
PSS007002|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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
PPM008153 PGS001079
(GBE_INI30110)
PSS006961|
African Ancestry|
6,139 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Platelet distribution width : 0.08809 [0.07494, 0.10125]
Incremental R2 (full-covars): 0.05017
PGS R2 (no covariates): 0.05279 [0.04222, 0.06337]
age, sex, UKB array type, Genotype PCs
PPM008154 PGS001079
(GBE_INI30110)
PSS006962|
East Asian Ancestry|
1,655 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Platelet distribution width : 0.1275 [0.09798, 0.15703]
Incremental R2 (full-covars): 0.09522
PGS R2 (no covariates): 0.09877 [0.07193, 0.12561]
age, sex, UKB array type, Genotype PCs
PPM008155 PGS001079
(GBE_INI30110)
PSS006963|
European Ancestry|
24,171 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Platelet distribution width : 0.2279 [0.21875, 0.23705]
Incremental R2 (full-covars): 0.20117
PGS R2 (no covariates): 0.2053 [0.19636, 0.21424]
age, sex, UKB array type, Genotype PCs
PPM008156 PGS001079
(GBE_INI30110)
PSS006964|
South Asian Ancestry|
7,519 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Platelet distribution width : 0.18488 [0.16936, 0.2004]
Incremental R2 (full-covars): 0.16662
PGS R2 (no covariates): 0.16657 [0.15151, 0.18163]
age, sex, UKB array type, Genotype PCs
PPM008157 PGS001079
(GBE_INI30110)
PSS006965|
European Ancestry|
65,601 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Platelet distribution width : 0.22746 [0.2219, 0.23302]
Incremental R2 (full-covars): 0.20559
PGS R2 (no covariates): 0.20528 [0.19985, 0.21072]
age, sex, UKB array type, Genotype PCs
PPM008482 PGS001152
(GBE_INI30070)
PSS006941|
African Ancestry|
6,139 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Red blood cell distribution width : 0.02633 [0.01865, 0.03401]
Incremental R2 (full-covars): 0.00466
PGS R2 (no covariates): 0.00617 [0.00238, 0.00997]
age, sex, UKB array type, Genotype PCs
PPM008483 PGS001152
(GBE_INI30070)
PSS006942|
East Asian Ancestry|
1,655 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Red blood cell distribution width : 0.06947 [0.04623, 0.09271]
Incremental R2 (full-covars): 0.04028
PGS R2 (no covariates): 0.04714 [0.02754, 0.06675]
age, sex, UKB array type, Genotype PCs
PPM008484 PGS001152
(GBE_INI30070)
PSS006943|
European Ancestry|
24,175 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Red blood cell distribution width : 0.08241 [0.07587, 0.08895]
Incremental R2 (full-covars): 0.07409
PGS R2 (no covariates): 0.0754 [0.06909, 0.0817]
age, sex, UKB array type, Genotype PCs
PPM008485 PGS001152
(GBE_INI30070)
PSS006944|
South Asian Ancestry|
7,520 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Red blood cell distribution width : 0.06357 [0.05312, 0.07403]
Incremental R2 (full-covars): 0.04077
PGS R2 (no covariates): 0.04137 [0.03274, 0.05]
age, sex, UKB array type, Genotype PCs
PPM008486 PGS001152
(GBE_INI30070)
PSS006945|
European Ancestry|
65,638 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Red blood cell distribution width : 0.0852 [0.08117, 0.08923]
Incremental R2 (full-covars): 0.07926
PGS R2 (no covariates): 0.07945 [0.07553, 0.08337]
age, sex, UKB array type, Genotype PCs
PPM008537 PGS001163
(GBE_INI30130)
PSS006971|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
Reported Trait: Neutrophill count : 0.09385 [0.08966, 0.09804]
Incremental R2 (full-covars): 0.08871
PGS R2 (no covariates): 0.08935 [0.08524, 0.09346]
age, sex, UKB array type, Genotype PCs
PPM008614 PGS001199
(GBE_INI30120)
PSS006966|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
Reported Trait: Lymphocyte count : 0.07751 [0.05317, 0.10185]
Incremental R2 (full-covars): 0.02783
PGS R2 (no covariates): 0.0308 [0.01468, 0.04692]
age, sex, UKB array type, Genotype PCs
PPM008616 PGS001199
(GBE_INI30120)
PSS006968|
European Ancestry|
24,129 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Lymphocyte count : 0.04047 [0.03568, 0.04526]
Incremental R2 (full-covars): 0.03437
PGS R2 (no covariates): 0.03502 [0.03053, 0.0395]
age, sex, UKB array type, Genotype PCs
PPM008617 PGS001199
(GBE_INI30120)
PSS006969|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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
PPM008619 PGS001200
(GBE_INI30100)
PSS006956|
African Ancestry|
6,139 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean platelet volume : 0.11523 [0.10064, 0.12983]
Incremental R2 (full-covars): 0.10713
PGS R2 (no covariates): 0.10764 [0.09341, 0.12187]
age, sex, UKB array type, Genotype PCs
PPM008620 PGS001200
(GBE_INI30100)
PSS006957|
East Asian Ancestry|
1,655 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean platelet volume : 0.22982 [0.19483, 0.26481]
Incremental R2 (full-covars): 0.1912
PGS R2 (no covariates): 0.20572 [0.17158, 0.23986]
age, sex, UKB array type, Genotype PCs
PPM008621 PGS001200
(GBE_INI30100)
PSS006958|
European Ancestry|
24,175 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean platelet volume : 0.36048 [0.35094, 0.37001]
Incremental R2 (full-covars): 0.35332
PGS R2 (no covariates): 0.3577 [0.34816, 0.36724]
age, sex, UKB array type, Genotype PCs
PPM008622 PGS001200
(GBE_INI30100)
PSS006959|
South Asian Ancestry|
7,520 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean platelet volume : 0.26489 [0.24813, 0.28164]
Incremental R2 (full-covars): 0.25606
PGS R2 (no covariates): 0.25974 [0.24303, 0.27644]
age, sex, UKB array type, Genotype PCs
PPM008623 PGS001200
(GBE_INI30100)
PSS006960|
European Ancestry|
65,636 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean platelet volume : 0.36177 [0.35598, 0.36757]
Incremental R2 (full-covars): 0.35994
PGS R2 (no covariates): 0.36024 [0.35444, 0.36603]
age, sex, UKB array type, Genotype PCs
PPM008624 PGS001218
(GBE_INI30060)
PSS006936|
African Ancestry|
6,139 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean corpuscular haemoglobin concentration : 0.01334 [0.0078, 0.01888]
Incremental R2 (full-covars): 0.0007
PGS R2 (no covariates): 0.00244 [0.00004, 0.00483]
age, sex, UKB array type, Genotype PCs
PPM008625 PGS001218
(GBE_INI30060)
PSS006937|
East Asian Ancestry|
1,655 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean corpuscular haemoglobin concentration : 0.05415 [0.03329, 0.07501]
Incremental R2 (full-covars): 0.01409
PGS R2 (no covariates): 0.01986 [0.00677, 0.03295]
age, sex, UKB array type, Genotype PCs
PPM008626 PGS001218
(GBE_INI30060)
PSS006938|
European Ancestry|
24,175 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean corpuscular haemoglobin concentration : 0.02769 [0.02367, 0.03171]
Incremental R2 (full-covars): 0.01601
PGS R2 (no covariates): 0.01701 [0.01382, 0.02019]
age, sex, UKB array type, Genotype PCs
PPM008627 PGS001218
(GBE_INI30060)
PSS006939|
South Asian Ancestry|
7,520 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean corpuscular haemoglobin concentration : 0.04592 [0.03687, 0.05498]
Incremental R2 (full-covars): 0.01608
PGS R2 (no covariates): 0.01906 [0.01306, 0.02505]
age, sex, UKB array type, Genotype PCs
PPM008628 PGS001218
(GBE_INI30060)
PSS006940|
European Ancestry|
65,635 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean corpuscular haemoglobin concentration : 0.03753 [0.03472, 0.04035]
Incremental R2 (full-covars): 0.02447
PGS R2 (no covariates): 0.02534 [0.023, 0.02768]
age, sex, UKB array type, Genotype PCs
PPM008629 PGS001219
(GBE_INI30050)
PSS006931|
African Ancestry|
6,139 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean corpuscular haemoglobin : 0.03354 [0.02494, 0.04215]
Incremental R2 (full-covars): 0.00833
PGS R2 (no covariates): 0.01254 [0.00717, 0.01792]
age, sex, UKB array type, Genotype PCs
PPM008630 PGS001219
(GBE_INI30050)
PSS006932|
East Asian Ancestry|
1,655 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean corpuscular haemoglobin : 0.0892 [0.06342, 0.11498]
Incremental R2 (full-covars): 0.03143
PGS R2 (no covariates): 0.0524 [0.03184, 0.07296]
age, sex, UKB array type, Genotype PCs
PPM008631 PGS001219
(GBE_INI30050)
PSS006933|
European Ancestry|
24,175 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean corpuscular haemoglobin : 0.16096 [0.1526, 0.16932]
Incremental R2 (full-covars): 0.12049
PGS R2 (no covariates): 0.13012 [0.12233, 0.13791]
age, sex, UKB array type, Genotype PCs
PPM008632 PGS001219
(GBE_INI30050)
PSS006934|
South Asian Ancestry|
7,520 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean corpuscular haemoglobin : 0.11958 [0.1061, 0.13306]
Incremental R2 (full-covars): 0.06684
PGS R2 (no covariates): 0.07101 [0.06005, 0.08197]
age, sex, UKB array type, Genotype PCs
PPM008633 PGS001219
(GBE_INI30050)
PSS006935|
European Ancestry|
65,638 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean corpuscular haemoglobin : 0.18797 [0.18266, 0.19328]
Incremental R2 (full-covars): 0.1678
PGS R2 (no covariates): 0.1703 [0.16513, 0.17547]
age, sex, UKB array type, Genotype PCs
PPM008634 PGS001220
(GBE_INI30040)
PSS006926|
African Ancestry|
6,139 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean corpuscular volume : 0.03909 [0.02986, 0.04833]
Incremental R2 (full-covars): 0.01317
PGS R2 (no covariates): 0.01523 [0.00932, 0.02114]
age, sex, UKB array type, Genotype PCs
PPM008635 PGS001220
(GBE_INI30040)
PSS006927|
East Asian Ancestry|
1,655 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean corpuscular volume : 0.09134 [0.06532, 0.11737]
Incremental R2 (full-covars): 0.03736
PGS R2 (no covariates): 0.05987 [0.03807, 0.08167]
age, sex, UKB array type, Genotype PCs
PPM008636 PGS001220
(GBE_INI30040)
PSS006928|
European Ancestry|
24,175 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean corpuscular volume : 0.20688 [0.19792, 0.21584]
Incremental R2 (full-covars): 0.15861
PGS R2 (no covariates): 0.17414 [0.16558, 0.1827]
age, sex, UKB array type, Genotype PCs
PPM008637 PGS001220
(GBE_INI30040)
PSS006929|
South Asian Ancestry|
7,520 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean corpuscular volume : 0.12834 [0.11451, 0.14216]
Incremental R2 (full-covars): 0.07837
PGS R2 (no covariates): 0.08395 [0.0722, 0.0957]
age, sex, UKB array type, Genotype PCs
PPM008638 PGS001220
(GBE_INI30040)
PSS006930|
European Ancestry|
65,638 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Mean corpuscular volume : 0.21614 [0.21064, 0.22164]
Incremental R2 (full-covars): 0.19948
PGS R2 (no covariates): 0.20189 [0.19648, 0.2073]
age, sex, UKB array type, Genotype PCs
PPM008639 PGS001225
(GBE_INI30030)
PSS006921|
African Ancestry|
6,139 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Haematocrit % : 0.39181 [0.37331, 0.41032]
Incremental R2 (full-covars): 0.01035
PGS R2 (no covariates): 0.01326 [0.00774, 0.01879]
age, sex, UKB array type, Genotype PCs
PPM008640 PGS001225
(GBE_INI30030)
PSS006922|
East Asian Ancestry|
1,655 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Haematocrit % : 0.4128 [0.37705, 0.44856]
Incremental R2 (full-covars): 0.02196
PGS R2 (no covariates): 0.02063 [0.0073, 0.03396]
age, sex, UKB array type, Genotype PCs
PPM008641 PGS001225
(GBE_INI30030)
PSS006923|
European Ancestry|
24,175 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Haematocrit % : 0.396 [0.38656, 0.40544]
Incremental R2 (full-covars): 0.05878
PGS R2 (no covariates): 0.06263 [0.0568, 0.06846]
age, sex, UKB array type, Genotype PCs
PPM008642 PGS001225
(GBE_INI30030)
PSS006924|
South Asian Ancestry|
7,520 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Haematocrit % : 0.4249 [0.4083, 0.4415]
Incremental R2 (full-covars): 0.02482
PGS R2 (no covariates): 0.0222 [0.01575, 0.02865]
age, sex, UKB array type, Genotype PCs
PPM008643 PGS001225
(GBE_INI30030)
PSS006925|
European Ancestry|
65,638 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Haematocrit % : 0.39123 [0.38548, 0.39698]
Incremental R2 (full-covars): 0.06504
PGS R2 (no covariates): 0.06544 [0.06183, 0.06904]
age, sex, UKB array type, Genotype PCs
PPM008699 PGS001238
(GBE_INI30080)
PSS006946|
African Ancestry|
6,139 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Platelet count : 0.13129 [0.11599, 0.14659]
Incremental R2 (full-covars): 0.04423
PGS R2 (no covariates): 0.04881 [0.03859, 0.05902]
age, sex, UKB array type, Genotype PCs
PPM008700 PGS001238
(GBE_INI30080)
PSS006947|
East Asian Ancestry|
1,655 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Platelet count : 0.14398 [0.1132, 0.17476]
Incremental R2 (full-covars): 0.09414
PGS R2 (no covariates): 0.09846 [0.07165, 0.12527]
age, sex, UKB array type, Genotype PCs
PPM008701 PGS001238
(GBE_INI30080)
PSS006948|
European Ancestry|
24,175 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Platelet count : 0.26403 [0.25464, 0.27343]
Incremental R2 (full-covars): 0.21574
PGS R2 (no covariates): 0.21973 [0.21064, 0.22881]
age, sex, UKB array type, Genotype PCs
PPM008702 PGS001238
(GBE_INI30080)
PSS006949|
South Asian Ancestry|
7,520 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Platelet count : 0.24088 [0.22438, 0.25738]
Incremental R2 (full-covars): 0.15169
PGS R2 (no covariates): 0.153 [0.13833, 0.16767]
age, sex, UKB array type, Genotype PCs
PPM008703 PGS001238
(GBE_INI30080)
PSS006950|
European Ancestry|
65,637 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Platelet count : 0.26678 [0.26106, 0.2725]
Incremental R2 (full-covars): 0.20845
PGS R2 (no covariates): 0.20987 [0.20441, 0.21533]
age, sex, UKB array type, Genotype PCs
PPM008704 PGS001239
(GBE_INI30000)
PSS006891|
African Ancestry|
6,139 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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
PPM008709 PGS001240
(GBE_INI30010)
PSS006896|
African Ancestry|
6,139 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Red blood cell count : 0.26906 [0.25063, 0.28749]
Incremental R2 (full-covars): 0.01652
PGS R2 (no covariates): 0.01819 [0.01175, 0.02463]
age, sex, UKB array type, Genotype PCs
PPM008710 PGS001240
(GBE_INI30010)
PSS006897|
East Asian Ancestry|
1,655 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Red blood cell count : 0.32546 [0.289, 0.36193]
Incremental R2 (full-covars): 0.04519
PGS R2 (no covariates): 0.05665 [0.03538, 0.07793]
age, sex, UKB array type, Genotype PCs
PPM008711 PGS001240
(GBE_INI30010)
PSS006898|
European Ancestry|
24,175 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Red blood cell count : 0.37954 [0.37005, 0.38904]
Incremental R2 (full-covars): 0.10462
PGS R2 (no covariates): 0.11155 [0.10418, 0.11892]
age, sex, UKB array type, Genotype PCs
PPM008712 PGS001240
(GBE_INI30010)
PSS006899|
South Asian Ancestry|
7,520 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Red blood cell count : 0.33598 [0.31894, 0.35302]
Incremental R2 (full-covars): 0.05745
PGS R2 (no covariates): 0.05295 [0.0433, 0.0626]
age, sex, UKB array type, Genotype PCs
PPM008713 PGS001240
(GBE_INI30010)
PSS006900|
European Ancestry|
65,638 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Red blood cell count : 0.37344 [0.36766, 0.37922]
Incremental R2 (full-covars): 0.11681
PGS R2 (no covariates): 0.11784 [0.11327, 0.12241]
age, sex, UKB array type, Genotype PCs
PPM005139 PGS001352
(MAGICTA_EUR_PGS_HbA1c)
PSS003594|
European Ancestry|
61,820 individuals
PGP000246 |
Chen J et al. Nat Genet (2021)
Reported Trait: Glycated haemoglobin levels (HbA1c) : 0.178
PPM005142 PGS001352
(MAGICTA_EUR_PGS_HbA1c)
PSS003591|
African Ancestry|
6,647 individuals
PGP000246 |
Chen J et al. Nat Genet (2021)
Reported Trait: Glycated haemoglobin levels (HbA1c) : 0.012
PPM005145 PGS001352
(MAGICTA_EUR_PGS_HbA1c)
PSS003593|
East Asian Ancestry|
31,236 individuals
PGP000246 |
Chen J et al. Nat Genet (2021)
Reported Trait: Glycated haemoglobin levels (HbA1c) : 0.026
PPM005146 PGS001352
(MAGICTA_EUR_PGS_HbA1c)
PSS003592|
African Ancestry|
4,441 individuals
PGP000246 |
Chen J et al. Nat Genet (2021)
Reported Trait: Glycated haemoglobin levels (HbA1c) : 0.006
PPM007058 PGS001377
(GBE_INI30220)
PSS007014|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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
PPM007035 PGS001400
(GBE_INI30020)
PSS006901|
African Ancestry|
6,139 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Haemoglobin concentration : 0.38602 [0.36748, 0.40456]
Incremental R2 (full-covars): 0.00491
PGS R2 (no covariates): 0.01221 [0.00691, 0.01752]
age, sex, UKB array type, Genotype PCs
PPM007036 PGS001400
(GBE_INI30020)
PSS006902|
East Asian Ancestry|
1,655 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Haemoglobin concentration : 0.40783 [0.37199, 0.44367]
Incremental R2 (full-covars): 0.02084
PGS R2 (no covariates): 0.01558 [0.00394, 0.02723]
age, sex, UKB array type, Genotype PCs
PPM007037 PGS001400
(GBE_INI30020)
PSS006903|
European Ancestry|
24,175 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Haemoglobin concentration : 0.43532 [0.42607, 0.44457]
Incremental R2 (full-covars): 0.06361
PGS R2 (no covariates): 0.06382 [0.05795, 0.06969]
age, sex, UKB array type, Genotype PCs
PPM007038 PGS001400
(GBE_INI30020)
PSS006904|
South Asian Ancestry|
7,520 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Haemoglobin concentration : 0.4337 [0.41719, 0.45022]
Incremental R2 (full-covars): 0.02482
PGS R2 (no covariates): 0.01823 [0.01236, 0.0241]
age, sex, UKB array type, Genotype PCs
PPM007039 PGS001400
(GBE_INI30020)
PSS006905|
European Ancestry|
65,638 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Haemoglobin concentration : 0.42918 [0.42353, 0.43482]
Incremental R2 (full-covars): 0.06776
PGS R2 (no covariates): 0.06681 [0.06316, 0.07045]
age, sex, UKB array type, Genotype PCs
PPM007070 PGS001406
(GBE_INI30300)
PSS007041|
African Ancestry|
5,974 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: High light scatter reticulocyte count : 0.03376 [0.02514, 0.04239]
Incremental R2 (full-covars): 0.02097
PGS R2 (no covariates): 0.02166 [0.01466, 0.02866]
age, sex, UKB array type, Genotype PCs
PPM007071 PGS001406
(GBE_INI30300)
PSS007042|
East Asian Ancestry|
1,623 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: High light scatter reticulocyte count : 0.08784 [0.06222, 0.11346]
Incremental R2 (full-covars): 0.06019
PGS R2 (no covariates): 0.06306 [0.04077, 0.08536]
age, sex, UKB array type, Genotype PCs
PPM007072 PGS001406
(GBE_INI30300)
PSS007043|
European Ancestry|
23,681 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: High light scatter reticulocyte count : 0.116 [0.10853, 0.12348]
Incremental R2 (full-covars): 0.09413
PGS R2 (no covariates): 0.09553 [0.08859, 0.10247]
age, sex, UKB array type, Genotype PCs
PPM007073 PGS001406
(GBE_INI30300)
PSS007044|
South Asian Ancestry|
7,321 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: High light scatter reticulocyte count : 0.09799 [0.08549, 0.1105]
Incremental R2 (full-covars): 0.07113
PGS R2 (no covariates): 0.07659 [0.06528, 0.08791]
age, sex, UKB array type, Genotype PCs
PPM007074 PGS001406
(GBE_INI30300)
PSS007045|
European Ancestry|
64,524 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: High light scatter reticulocyte count : 0.12733 [0.12263, 0.13203]
Incremental R2 (full-covars): 0.11178
PGS R2 (no covariates): 0.1113 [0.10683, 0.11578]
age, sex, UKB array type, Genotype PCs
PPM007065 PGS001408
(GBE_INI30280)
PSS007031|
African Ancestry|
5,973 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Immature reticulocyte fraction : 0.03195 [0.02354, 0.04036]
Incremental R2 (full-covars): 0.01989
PGS R2 (no covariates): 0.01953 [0.01287, 0.02619]
age, sex, UKB array type, Genotype PCs
PPM007066 PGS001408
(GBE_INI30280)
PSS007032|
East Asian Ancestry|
1,623 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Immature reticulocyte fraction : 0.04983 [0.02973, 0.06992]
Incremental R2 (full-covars): 0.02998
PGS R2 (no covariates): 0.03394 [0.01708, 0.05081]
age, sex, UKB array type, Genotype PCs
PPM007067 PGS001408
(GBE_INI30280)
PSS007033|
European Ancestry|
23,680 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Immature reticulocyte fraction : 0.10073 [0.09364, 0.10782]
Incremental R2 (full-covars): 0.08989
PGS R2 (no covariates): 0.09045 [0.08366, 0.09725]
age, sex, UKB array type, Genotype PCs
PPM007068 PGS001408
(GBE_INI30280)
PSS007034|
South Asian Ancestry|
7,321 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Immature reticulocyte fraction : 0.07122 [0.06025, 0.0822]
Incremental R2 (full-covars): 0.05964
PGS R2 (no covariates): 0.06252 [0.05214, 0.0729]
age, sex, UKB array type, Genotype PCs
PPM007069 PGS001408
(GBE_INI30280)
PSS007035|
European Ancestry|
64,524 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Immature reticulocyte fraction : 0.09976 [0.09547, 0.10405]
Incremental R2 (full-covars): 0.0902
PGS R2 (no covariates): 0.09063 [0.0865, 0.09477]
age, sex, UKB array type, Genotype PCs
PPM007054 PGS001414
(GBE_INI30180)
PSS006995|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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
PPM007040 PGS001517
(GBE_INI30090)
PSS006951|
African Ancestry|
6,139 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Platelet crit : 0.1382 [0.12263, 0.15377]
Incremental R2 (full-covars): 0.02064
PGS R2 (no covariates): 0.0286 [0.02062, 0.03659]
age, sex, UKB array type, Genotype PCs
PPM007041 PGS001517
(GBE_INI30090)
PSS006952|
East Asian Ancestry|
1,655 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Platelet crit : 0.15738 [0.1257, 0.18906]
Incremental R2 (full-covars): 0.08366
PGS R2 (no covariates): 0.07725 [0.05295, 0.10155]
age, sex, UKB array type, Genotype PCs
PPM007042 PGS001517
(GBE_INI30090)
PSS006953|
European Ancestry|
24,171 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Platelet crit : 0.23874 [0.2295, 0.24797]
Incremental R2 (full-covars): 0.16467
PGS R2 (no covariates): 0.16697 [0.15852, 0.17543]
age, sex, UKB array type, Genotype PCs
PPM007043 PGS001517
(GBE_INI30090)
PSS006954|
South Asian Ancestry|
7,519 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Platelet crit : 0.23898 [0.2225, 0.25545]
Incremental R2 (full-covars): 0.10472
PGS R2 (no covariates): 0.10873 [0.09572, 0.12174]
age, sex, UKB array type, Genotype PCs
PPM007044 PGS001517
(GBE_INI30090)
PSS006955|
European Ancestry|
65,601 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Platelet crit : 0.24748 [0.24183, 0.25313]
Incremental R2 (full-covars): 0.16016
PGS R2 (no covariates): 0.16141 [0.15632, 0.16649]
age, sex, UKB array type, Genotype PCs
PPM007061 PGS001528
(GBE_INI30250)
PSS007022|
East Asian Ancestry|
1,623 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Reticulocyte count : 0.07592 [0.05179, 0.10005]
Incremental R2 (full-covars): 0.04581
PGS R2 (no covariates): 0.04535 [0.02608, 0.06461]
age, sex, UKB array type, Genotype PCs
PPM007062 PGS001528
(GBE_INI30250)
PSS007023|
European Ancestry|
23,688 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Reticulocyte count : 0.04398 [0.039, 0.04896]
Incremental R2 (full-covars): 0.0298
PGS R2 (no covariates): 0.03007 [0.02589, 0.03425]
age, sex, UKB array type, Genotype PCs
PPM007063 PGS001528
(GBE_INI30250)
PSS007024|
South Asian Ancestry|
7,323 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Reticulocyte count : 0.05148 [0.04195, 0.06101]
Incremental R2 (full-covars): 0.03077
PGS R2 (no covariates): 0.03212 [0.02444, 0.0398]
age, sex, UKB array type, Genotype PCs
PPM007064 PGS001528
(GBE_INI30250)
PSS007025|
European Ancestry|
64,570 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Reticulocyte count : 0.0518 [0.04854, 0.05506]
Incremental R2 (full-covars): 0.03968
PGS R2 (no covariates): 0.03966 [0.03677, 0.04254]
age, sex, UKB array type, Genotype PCs
PPM007060 PGS001528
(GBE_INI30250)
PSS007021|
African Ancestry|
5,974 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Reticulocyte count : 0.03089 [0.02261, 0.03917]
Incremental R2 (full-covars): 0.01205
PGS R2 (no covariates): 0.01388 [0.00823, 0.01953]
age, sex, UKB array type, Genotype PCs
PPM010147 PGS001908
(portability-PLR_erythrocyte_width)
PSS009400|
European Ancestry|
19,392 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Red blood cell (erythrocyte) distribution width Partial Correlation (partial-r): 0.3342 [0.3217, 0.3467] sex, age, birth date, deprivation index, 16 PCs
PPM010148 PGS001908
(portability-PLR_erythrocyte_width)
PSS009174|
European Ancestry|
3,996 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Red blood cell (erythrocyte) distribution width Partial Correlation (partial-r): 0.3297 [0.3017, 0.3571] sex, age, birth date, deprivation index, 16 PCs
PPM010149 PGS001908
(portability-PLR_erythrocyte_width)
PSS008728|
European Ancestry|
6,422 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Red blood cell (erythrocyte) distribution width Partial Correlation (partial-r): 0.2987 [0.2762, 0.3208] sex, age, birth date, deprivation index, 16 PCs
PPM010150 PGS001908
(portability-PLR_erythrocyte_width)
PSS008502|
Greater Middle Eastern Ancestry|
1,144 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Red blood cell (erythrocyte) distribution width Partial Correlation (partial-r): 0.2615 [0.2062, 0.3152] sex, age, birth date, deprivation index, 16 PCs
PPM010151 PGS001908
(portability-PLR_erythrocyte_width)
PSS008280|
South Asian Ancestry|
6,035 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Red blood cell (erythrocyte) distribution width Partial Correlation (partial-r): 0.2435 [0.2196, 0.2671] sex, age, birth date, deprivation index, 16 PCs
PPM010152 PGS001908
(portability-PLR_erythrocyte_width)
PSS008057|
East Asian Ancestry|
1,757 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Red blood cell (erythrocyte) distribution width Partial Correlation (partial-r): 0.2371 [0.1922, 0.281] sex, age, birth date, deprivation index, 16 PCs
PPM010154 PGS001908
(portability-PLR_erythrocyte_width)
PSS008948|
African Ancestry|
3,680 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Red blood cell (erythrocyte) distribution width Partial Correlation (partial-r): 0.1241 [0.092, 0.1558] sex, age, birth date, deprivation index, 16 PCs
PPM010153 PGS001908
(portability-PLR_erythrocyte_width)
PSS007844|
African Ancestry|
2,328 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Red blood cell (erythrocyte) distribution width Partial Correlation (partial-r): 0.1157 [0.0753, 0.1558] sex, age, birth date, deprivation index, 16 PCs
PPM010155 PGS001909
(portability-PLR_erythrocyte)
PSS009399|
European Ancestry|
19,422 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Red blood cell (erythrocyte) count Partial Correlation (partial-r): 0.3987 [0.3868, 0.4105] sex, age, birth date, deprivation index, 16 PCs
PPM010156 PGS001909
(portability-PLR_erythrocyte)
PSS009173|
European Ancestry|
4,001 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Red blood cell (erythrocyte) count Partial Correlation (partial-r): 0.404 [0.3776, 0.4296] sex, age, birth date, deprivation index, 16 PCs
PPM010157 PGS001909
(portability-PLR_erythrocyte)
PSS008727|
European Ancestry|
6,437 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Red blood cell (erythrocyte) count Partial Correlation (partial-r): 0.3387 [0.3169, 0.3602] sex, age, birth date, deprivation index, 16 PCs
PPM010158 PGS001909
(portability-PLR_erythrocyte)
PSS008501|
Greater Middle Eastern Ancestry|
1,153 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Red blood cell (erythrocyte) count Partial Correlation (partial-r): 0.3306 [0.2777, 0.3815] sex, age, birth date, deprivation index, 16 PCs
PPM010159 PGS001909
(portability-PLR_erythrocyte)
PSS008279|
South Asian Ancestry|
6,078 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Red blood cell (erythrocyte) count Partial Correlation (partial-r): 0.2916 [0.2684, 0.3145] sex, age, birth date, deprivation index, 16 PCs
PPM010160 PGS001909
(portability-PLR_erythrocyte)
PSS008056|
East Asian Ancestry|
1,762 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Red blood cell (erythrocyte) count Partial Correlation (partial-r): 0.2689 [0.2247, 0.3119] sex, age, birth date, deprivation index, 16 PCs
PPM010161 PGS001909
(portability-PLR_erythrocyte)
PSS007843|
African Ancestry|
2,342 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Red blood cell (erythrocyte) count Partial Correlation (partial-r): 0.1886 [0.149, 0.2275] sex, age, birth date, deprivation index, 16 PCs
PPM010162 PGS001909
(portability-PLR_erythrocyte)
PSS008947|
African Ancestry|
3,711 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Red blood cell (erythrocyte) count Partial Correlation (partial-r): 0.1298 [0.098, 0.1614] sex, age, birth date, deprivation index, 16 PCs
PPM010275 PGS001925
(portability-PLR_haematocrit_perc)
PSS009411|
European Ancestry|
19,423 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haematocrit percentage Partial Correlation (partial-r): 0.3256 [0.3129, 0.3381] sex, age, birth date, deprivation index, 16 PCs
PPM010276 PGS001925
(portability-PLR_haematocrit_perc)
PSS009185|
European Ancestry|
4,002 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haematocrit percentage Partial Correlation (partial-r): 0.3126 [0.2843, 0.3404] sex, age, birth date, deprivation index, 16 PCs
PPM010277 PGS001925
(portability-PLR_haematocrit_perc)
PSS008739|
European Ancestry|
6,437 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haematocrit percentage Partial Correlation (partial-r): 0.2824 [0.2597, 0.3047] sex, age, birth date, deprivation index, 16 PCs
PPM010278 PGS001925
(portability-PLR_haematocrit_perc)
PSS008513|
Greater Middle Eastern Ancestry|
1,153 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haematocrit percentage Partial Correlation (partial-r): 0.2516 [0.1962, 0.3053] sex, age, birth date, deprivation index, 16 PCs
PPM010281 PGS001925
(portability-PLR_haematocrit_perc)
PSS007855|
African Ancestry|
2,343 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haematocrit percentage Partial Correlation (partial-r): 0.13 [0.0898, 0.1698] sex, age, birth date, deprivation index, 16 PCs
PPM010282 PGS001925
(portability-PLR_haematocrit_perc)
PSS008959|
African Ancestry|
3,711 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haematocrit percentage Partial Correlation (partial-r): 0.1286 [0.0967, 0.1602] sex, age, birth date, deprivation index, 16 PCs
PPM010279 PGS001925
(portability-PLR_haematocrit_perc)
PSS008291|
South Asian Ancestry|
6,078 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haematocrit percentage Partial Correlation (partial-r): 0.2255 [0.2015, 0.2493] sex, age, birth date, deprivation index, 16 PCs
PPM010280 PGS001925
(portability-PLR_haematocrit_perc)
PSS008068|
East Asian Ancestry|
1,762 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haematocrit percentage Partial Correlation (partial-r): 0.2014 [0.1559, 0.2461] sex, age, birth date, deprivation index, 16 PCs
PPM010284 PGS001926
(portability-PLR_haemoglobin)
PSS009186|
European Ancestry|
4,001 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.3146 [0.2864, 0.3423] sex, age, birth date, deprivation index, 16 PCs
PPM010285 PGS001926
(portability-PLR_haemoglobin)
PSS008740|
European Ancestry|
6,436 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.2911 [0.2686, 0.3134] sex, age, birth date, deprivation index, 16 PCs
PPM010286 PGS001926
(portability-PLR_haemoglobin)
PSS008514|
Greater Middle Eastern Ancestry|
1,153 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.2493 [0.1938, 0.3031] sex, age, birth date, deprivation index, 16 PCs
PPM010287 PGS001926
(portability-PLR_haemoglobin)
PSS008292|
South Asian Ancestry|
6,077 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.2104 [0.1863, 0.2344] sex, age, birth date, deprivation index, 16 PCs
PPM010288 PGS001926
(portability-PLR_haemoglobin)
PSS008069|
East Asian Ancestry|
1,762 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.208 [0.1627, 0.2525] sex, age, birth date, deprivation index, 16 PCs
PPM010289 PGS001926
(portability-PLR_haemoglobin)
PSS007856|
African Ancestry|
2,340 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.1224 [0.0822, 0.1623] sex, age, birth date, deprivation index, 16 PCs
PPM010290 PGS001926
(portability-PLR_haemoglobin)
PSS008960|
African Ancestry|
3,709 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.1163 [0.0844, 0.148] sex, age, birth date, deprivation index, 16 PCs
PPM010283 PGS001926
(portability-PLR_haemoglobin)
PSS009412|
European Ancestry|
19,423 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.3431 [0.3306, 0.3555] sex, age, birth date, deprivation index, 16 PCs
PPM010315 PGS001930
(portability-PLR_immature_reticulocyte_frac)
PSS009417|
European Ancestry|
19,121 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Immature reticulocyte fraction Partial Correlation (partial-r): 0.3146 [0.3017, 0.3273] sex, age, birth date, deprivation index, 16 PCs
PPM010316 PGS001930
(portability-PLR_immature_reticulocyte_frac)
PSS009191|
European Ancestry|
3,924 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Immature reticulocyte fraction Partial Correlation (partial-r): 0.3213 [0.2928, 0.3491] sex, age, birth date, deprivation index, 16 PCs
PPM010317 PGS001930
(portability-PLR_immature_reticulocyte_frac)
PSS008745|
European Ancestry|
6,298 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Immature reticulocyte fraction Partial Correlation (partial-r): 0.3224 [0.3, 0.3444] sex, age, birth date, deprivation index, 16 PCs
PPM010318 PGS001930
(portability-PLR_immature_reticulocyte_frac)
PSS008519|
Greater Middle Eastern Ancestry|
1,127 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Immature reticulocyte fraction Partial Correlation (partial-r): 0.2696 [0.214, 0.3234] sex, age, birth date, deprivation index, 16 PCs
PPM010319 PGS001930
(portability-PLR_immature_reticulocyte_frac)
PSS008297|
South Asian Ancestry|
5,937 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Immature reticulocyte fraction Partial Correlation (partial-r): 0.2631 [0.2392, 0.2867] sex, age, birth date, deprivation index, 16 PCs
PPM010320 PGS001930
(portability-PLR_immature_reticulocyte_frac)
PSS008074|
East Asian Ancestry|
1,722 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Immature reticulocyte fraction Partial Correlation (partial-r): 0.2154 [0.1696, 0.2602] sex, age, birth date, deprivation index, 16 PCs
PPM010321 PGS001930
(portability-PLR_immature_reticulocyte_frac)
PSS007861|
African Ancestry|
2,294 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Immature reticulocyte fraction Partial Correlation (partial-r): 0.1811 [0.141, 0.2205] sex, age, birth date, deprivation index, 16 PCs
PPM010322 PGS001930
(portability-PLR_immature_reticulocyte_frac)
PSS008965|
African Ancestry|
3,602 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Immature reticulocyte fraction Partial Correlation (partial-r): 0.1665 [0.1345, 0.1982] sex, age, birth date, deprivation index, 16 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
PPM010500 PGS001953
(portability-PLR_log_HbA1c)
PSS009208|
European Ancestry|
3,930 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glycated haemoglobin (HbA1c) Partial Correlation (partial-r): 0.3374 [0.3093, 0.3649] sex, age, birth date, deprivation index, 16 PCs
PPM010501 PGS001953
(portability-PLR_log_HbA1c)
PSS008762|
European Ancestry|
6,326 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glycated haemoglobin (HbA1c) Partial Correlation (partial-r): 0.3092 [0.2867, 0.3314] sex, age, birth date, deprivation index, 16 PCs
PPM010502 PGS001953
(portability-PLR_log_HbA1c)
PSS008536|
Greater Middle Eastern Ancestry|
1,128 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glycated haemoglobin (HbA1c) Partial Correlation (partial-r): 0.329 [0.2755, 0.3806] sex, age, birth date, deprivation index, 16 PCs
PPM010503 PGS001953
(portability-PLR_log_HbA1c)
PSS008314|
South Asian Ancestry|
5,936 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glycated haemoglobin (HbA1c) Partial Correlation (partial-r): 0.2406 [0.2164, 0.2644] sex, age, birth date, deprivation index, 16 PCs
PPM010504 PGS001953
(portability-PLR_log_HbA1c)
PSS008091|
East Asian Ancestry|
1,731 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glycated haemoglobin (HbA1c) Partial Correlation (partial-r): 0.2506 [0.2057, 0.2945] sex, age, birth date, deprivation index, 16 PCs
PPM010505 PGS001953
(portability-PLR_log_HbA1c)
PSS007878|
African Ancestry|
2,100 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glycated haemoglobin (HbA1c) Partial Correlation (partial-r): 0.1217 [0.0792, 0.1639] sex, age, birth date, deprivation index, 16 PCs
PPM010506 PGS001953
(portability-PLR_log_HbA1c)
PSS008982|
African Ancestry|
2,976 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glycated haemoglobin (HbA1c) Partial Correlation (partial-r): 0.087 [0.0511, 0.1226] sex, age, birth date, deprivation index, 16 PCs
PPM010499 PGS001953
(portability-PLR_log_HbA1c)
PSS009434|
European Ancestry|
19,060 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glycated haemoglobin (HbA1c) Partial Correlation (partial-r): 0.3405 [0.3279, 0.353] sex, age, birth date, deprivation index, 16 PCs
PPM010548 PGS001959
(portability-PLR_log_HLR_reticulocyte)
PSS009207|
European Ancestry|
3,919 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.4054 [0.3788, 0.4313] sex, age, birth date, deprivation index, 16 PCs
PPM010549 PGS001959
(portability-PLR_log_HLR_reticulocyte)
PSS008761|
European Ancestry|
6,289 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.3962 [0.3751, 0.4169] sex, age, birth date, deprivation index, 16 PCs
PPM010550 PGS001959
(portability-PLR_log_HLR_reticulocyte)
PSS008535|
Greater Middle Eastern Ancestry|
1,124 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.3255 [0.2717, 0.3772] sex, age, birth date, deprivation index, 16 PCs
PPM010551 PGS001959
(portability-PLR_log_HLR_reticulocyte)
PSS008313|
South Asian Ancestry|
5,923 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.3191 [0.296, 0.3418] sex, age, birth date, deprivation index, 16 PCs
PPM010552 PGS001959
(portability-PLR_log_HLR_reticulocyte)
PSS008090|
East Asian Ancestry|
1,715 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.2778 [0.2333, 0.3212] sex, age, birth date, deprivation index, 16 PCs
PPM010553 PGS001959
(portability-PLR_log_HLR_reticulocyte)
PSS007877|
African Ancestry|
2,293 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.2182 [0.1787, 0.257] sex, age, birth date, deprivation index, 16 PCs
PPM010554 PGS001959
(portability-PLR_log_HLR_reticulocyte)
PSS008981|
African Ancestry|
3,600 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.2136 [0.1822, 0.2447] sex, age, birth date, deprivation index, 16 PCs
PPM010547 PGS001959
(portability-PLR_log_HLR_reticulocyte)
PSS009433|
European Ancestry|
19,088 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.4069 [0.395, 0.4186] 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
PPM010635 PGS001970
(portability-PLR_log_platelet_crit)
PSS009460|
European Ancestry|
19,422 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet crit Partial Correlation (partial-r): 0.4299 [0.4184, 0.4413] sex, age, birth date, deprivation index, 16 PCs
PPM010636 PGS001970
(portability-PLR_log_platelet_crit)
PSS009234|
European Ancestry|
4,002 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet crit Partial Correlation (partial-r): 0.4361 [0.4106, 0.4609] sex, age, birth date, deprivation index, 16 PCs
PPM010637 PGS001970
(portability-PLR_log_platelet_crit)
PSS008788|
European Ancestry|
6,436 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet crit Partial Correlation (partial-r): 0.4086 [0.388, 0.4288] sex, age, birth date, deprivation index, 16 PCs
PPM010639 PGS001970
(portability-PLR_log_platelet_crit)
PSS008340|
South Asian Ancestry|
6,076 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet crit Partial Correlation (partial-r): 0.3614 [0.3393, 0.3831] sex, age, birth date, deprivation index, 16 PCs
PPM010640 PGS001970
(portability-PLR_log_platelet_crit)
PSS008117|
East Asian Ancestry|
1,762 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet crit Partial Correlation (partial-r): 0.3104 [0.2674, 0.3523] sex, age, birth date, deprivation index, 16 PCs
PPM010641 PGS001970
(portability-PLR_log_platelet_crit)
PSS007904|
African Ancestry|
2,343 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet crit Partial Correlation (partial-r): 0.1795 [0.1398, 0.2185] sex, age, birth date, deprivation index, 16 PCs
PPM010642 PGS001970
(portability-PLR_log_platelet_crit)
PSS009008|
African Ancestry|
3,711 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet crit Partial Correlation (partial-r): 0.1907 [0.1594, 0.2216] sex, age, birth date, deprivation index, 16 PCs
PPM010638 PGS001970
(portability-PLR_log_platelet_crit)
PSS008562|
Greater Middle Eastern Ancestry|
1,153 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet crit Partial Correlation (partial-r): 0.3976 [0.3474, 0.4455] sex, age, birth date, deprivation index, 16 PCs
PPM010643 PGS001971
(portability-PLR_log_platelet_volume)
PSS009461|
European Ancestry|
19,423 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean platelet (thrombocyte) volume Partial Correlation (partial-r): 0.6032 [0.5942, 0.6121] sex, age, birth date, deprivation index, 16 PCs
PPM010644 PGS001971
(portability-PLR_log_platelet_volume)
PSS009235|
European Ancestry|
4,002 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean platelet (thrombocyte) volume Partial Correlation (partial-r): 0.6067 [0.5867, 0.626] sex, age, birth date, deprivation index, 16 PCs
PPM010645 PGS001971
(portability-PLR_log_platelet_volume)
PSS008789|
European Ancestry|
6,437 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean platelet (thrombocyte) volume Partial Correlation (partial-r): 0.5713 [0.5546, 0.5875] sex, age, birth date, deprivation index, 16 PCs
PPM010646 PGS001971
(portability-PLR_log_platelet_volume)
PSS008563|
Greater Middle Eastern Ancestry|
1,153 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean platelet (thrombocyte) volume Partial Correlation (partial-r): 0.5283 [0.485, 0.5691] sex, age, birth date, deprivation index, 16 PCs
PPM010647 PGS001971
(portability-PLR_log_platelet_volume)
PSS008341|
South Asian Ancestry|
6,078 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean platelet (thrombocyte) volume Partial Correlation (partial-r): 0.5282 [0.5098, 0.5461] sex, age, birth date, deprivation index, 16 PCs
PPM010648 PGS001971
(portability-PLR_log_platelet_volume)
PSS008118|
East Asian Ancestry|
1,762 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean platelet (thrombocyte) volume Partial Correlation (partial-r): 0.4452 [0.4067, 0.4821] sex, age, birth date, deprivation index, 16 PCs
PPM010649 PGS001971
(portability-PLR_log_platelet_volume)
PSS007905|
African Ancestry|
2,343 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean platelet (thrombocyte) volume Partial Correlation (partial-r): 0.3353 [0.2987, 0.3709] sex, age, birth date, deprivation index, 16 PCs
PPM010650 PGS001971
(portability-PLR_log_platelet_volume)
PSS009009|
African Ancestry|
3,711 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean platelet (thrombocyte) volume Partial Correlation (partial-r): 0.3125 [0.2831, 0.3414] sex, age, birth date, deprivation index, 16 PCs
PPM010652 PGS001972
(portability-PLR_log_platelet_width)
PSS009236|
European Ancestry|
4,002 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet distribution width Partial Correlation (partial-r): 0.4717 [0.4471, 0.4955] sex, age, birth date, deprivation index, 16 PCs
PPM010653 PGS001972
(portability-PLR_log_platelet_width)
PSS008790|
European Ancestry|
6,437 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet distribution width Partial Correlation (partial-r): 0.4481 [0.4283, 0.4674] sex, age, birth date, deprivation index, 16 PCs
PPM010654 PGS001972
(portability-PLR_log_platelet_width)
PSS008564|
Greater Middle Eastern Ancestry|
1,153 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet distribution width Partial Correlation (partial-r): 0.4507 [0.403, 0.4959] sex, age, birth date, deprivation index, 16 PCs
PPM010655 PGS001972
(portability-PLR_log_platelet_width)
PSS008342|
South Asian Ancestry|
6,078 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet distribution width Partial Correlation (partial-r): 0.4365 [0.4158, 0.4566] sex, age, birth date, deprivation index, 16 PCs
PPM010656 PGS001972
(portability-PLR_log_platelet_width)
PSS008119|
East Asian Ancestry|
1,762 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet distribution width Partial Correlation (partial-r): 0.3413 [0.2991, 0.3821] sex, age, birth date, deprivation index, 16 PCs
PPM010657 PGS001972
(portability-PLR_log_platelet_width)
PSS007906|
African Ancestry|
2,343 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet distribution width Partial Correlation (partial-r): 0.227 [0.188, 0.2652] sex, age, birth date, deprivation index, 16 PCs
PPM010658 PGS001972
(portability-PLR_log_platelet_width)
PSS009010|
African Ancestry|
3,711 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet distribution width Partial Correlation (partial-r): 0.2247 [0.1938, 0.2551] sex, age, birth date, deprivation index, 16 PCs
PPM010651 PGS001972
(portability-PLR_log_platelet_width)
PSS009462|
European Ancestry|
19,423 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet distribution width Partial Correlation (partial-r): 0.4623 [0.4511, 0.4733] sex, age, birth date, deprivation index, 16 PCs
PPM010661 PGS001973
(portability-PLR_log_platelet)
PSS008787|
European Ancestry|
6,436 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet count Partial Correlation (partial-r): 0.4739 [0.4547, 0.4927] sex, age, birth date, deprivation index, 16 PCs
PPM010662 PGS001973
(portability-PLR_log_platelet)
PSS008561|
Greater Middle Eastern Ancestry|
1,153 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet count Partial Correlation (partial-r): 0.4562 [0.4088, 0.5011] sex, age, birth date, deprivation index, 16 PCs
PPM010659 PGS001973
(portability-PLR_log_platelet)
PSS009459|
European Ancestry|
19,422 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet count Partial Correlation (partial-r): 0.4839 [0.473, 0.4946] sex, age, birth date, deprivation index, 16 PCs
PPM010660 PGS001973
(portability-PLR_log_platelet)
PSS009233|
European Ancestry|
4,002 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet count Partial Correlation (partial-r): 0.4742 [0.4498, 0.498] sex, age, birth date, deprivation index, 16 PCs
PPM010663 PGS001973
(portability-PLR_log_platelet)
PSS008339|
South Asian Ancestry|
6,076 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet count Partial Correlation (partial-r): 0.4242 [0.4034, 0.4447] sex, age, birth date, deprivation index, 16 PCs
PPM010664 PGS001973
(portability-PLR_log_platelet)
PSS008116|
East Asian Ancestry|
1,762 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet count Partial Correlation (partial-r): 0.3503 [0.3084, 0.3908] sex, age, birth date, deprivation index, 16 PCs
PPM010665 PGS001973
(portability-PLR_log_platelet)
PSS007903|
African Ancestry|
2,343 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet count Partial Correlation (partial-r): 0.2414 [0.2028, 0.2794] sex, age, birth date, deprivation index, 16 PCs
PPM010666 PGS001973
(portability-PLR_log_platelet)
PSS009007|
African Ancestry|
3,711 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Platelet count Partial Correlation (partial-r): 0.2443 [0.2137, 0.2744] sex, age, birth date, deprivation index, 16 PCs
PPM010683 PGS001976
(portability-PLR_log_reticulocyte)
PSS009465|
European Ancestry|
19,117 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Reticulocyte count Par