PGS Publication: PGP000051

Publication Information (EuropePMC)
Title Machine learning optimized polygenic scores for blood cell traits identify sex-specific trajectories and genetic correlations with disease
PubMed ID 35072137(Europe PMC)
doi 10.1016/j.xgen.2021.100086
Publication Date Jan. 12, 2022
Journal Cell Genom
Author(s) Xu Y, Vuckovic D, Ritchie SC, Akbari P, Jiang T, Grealey J, Butterworth AS, Ouwehand WH, Roberts DJ, Di Angelantonio E, Danesh J, Soranzo N, Inouye M.
Released in PGS Catalog: Feb. 19, 2020

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:
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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

PGS Developed By This Publication

Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution
GWAS
Dev
Eval
 Scoring File (FTP Link)
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
PGS000107
(pct)
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Platelet crit platelet crit 30,459
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000107/ScoringFiles/PGS000107.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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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) —
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) —
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) —
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) —
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) —
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) —
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) —
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) —
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) —
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) —
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) —
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) —
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) —
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) —
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) —
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) —
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) —
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) —
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) —
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) —
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) —
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) —
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) —
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) —
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) —
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) —

Evaluated Samples

PGS Sample Set ID
(PSS) 		Phenotype Definitions and Methods Participant Follow-up Time Sample Numbers Age of Study Participants Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
PSS000127 — — 39,986 individuals,
50.0 % Male samples
 Mean = 43.87 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000128 — — 40,133 individuals,
50.0 % Male samples
 Mean = 43.92 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000129 — — 40,276 individuals,
49.0 % Male samples
 Mean = 43.84 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000130 — — 40,326 individuals,
49.0 % Male samples
 Mean = 43.83 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000131 — — 40,340 individuals,
49.0 % Male samples
 Mean = 43.84 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000132 — — 40,329 individuals,
49.0 % Male samples
 Mean = 43.84 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000133 — — 40,244 individuals,
49.0 % Male samples
 Mean = 43.84 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000134 — — 40,225 individuals,
49.0 % Male samples
 Mean = 43.84 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000135 — — 40,227 individuals,
49.0 % Male samples
 Mean = 43.85 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000136 — — 39,191 individuals,
50.0 % Male samples
 Mean = 43.82 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000137 — — 39,178 individuals,
50.0 % Male samples
 Mean = 43.82 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000138 — — 40,108 individuals,
50.0 % Male samples
 Mean = 43.85 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000139 — — 40,265 individuals,
50.0 % Male samples
 Mean = 43.83 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000140 — — 40,080 individuals,
50.0 % Male samples
 Mean = 43.82 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000141 — — 39,177 individuals,
50.0 % Male samples
 Mean = 43.82 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000142 — — 39,189 individuals,
50.0 % Male samples
 Mean = 43.83 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000143 — — 37,224 individuals,
50.0 % Male samples
 Mean = 43.8 years
Range = [18.0, 75.7] years		 European — INTERVAL —
PSS000144 — — 39,138 individuals,
50.0 % Male samples
 Mean = 43.84 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000145 — — 39,190 individuals,
50.0 % Male samples
 Mean = 43.83 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000146 — — 37,306 individuals,
49.0 % Male samples
 Mean = 43.82 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000147 — — 37,262 individuals,
50.0 % Male samples
 Mean = 43.81 years
Range = [18.0, 75.8] years		 European — INTERVAL —
PSS000148 — — 38,939 individuals,
49.0 % Male samples
 Mean = 43.75 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000149 — — 40,262 individuals,
49.0 % Male samples
 Mean = 43.84 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000150 — — 40,253 individuals,
49.0 % Male samples
 Mean = 43.84 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000151 — — 40,286 individuals,
49.0 % Male samples
 Mean = 43.84 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000152 — — 40,466 individuals,
49.0 % Male samples
 Mean = 43.84 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000153 — — 80,944 individuals,
46.0 % Male samples
 Mean = 57.21 years
Range = [40.05, 70.91] years		 European — UKB —
PSS000154 — — 80,906 individuals,
46.0 % Male samples
 Mean = 57.2 years
Range = [40.18, 72.91] years		 European — UKB —
PSS000155 — — 81,294 individuals,
46.0 % Male samples
 Mean = 57.2 years
Range = [39.98, 72.44] years		 European — UKB —
PSS000156 — — 81,283 individuals,
45.0 % Male samples
 Mean = 57.19 years
Range = [38.87, 71.1] years		 European — UKB —
PSS000157 — — 81,622 individuals,
46.0 % Male samples
 Mean = 57.26 years
Range = [40.11, 72.44] years		 European — UKB —
PSS000158 — — 81,548 individuals,
46.0 % Male samples
 Mean = 57.23 years
Range = [40.16, 72.91] years		 European — UKB —
PSS000159 — — 80,067 individuals,
46.0 % Male samples
 Mean = 57.2 years
Range = [39.91, 70.52] years		 European — UKB —
PSS000160 — — 80,088 individuals,
46.0 % Male samples
 Mean = 57.19 years
Range = [39.66, 72.91] years		 European — UKB —
PSS000161 — — 79,282 individuals,
46.0 % Male samples
 Mean = 57.28 years
Range = [39.91, 70.99] years		 European — UKB —
PSS000162 — — 81,455 individuals,
45.0 % Male samples
 Mean = 57.23 years
Range = [40.05, 71.07] years		 European — UKB —
PSS000163 — — 81,464 individuals,
46.0 % Male samples
 Mean = 57.22 years
Range = [40.17, 71.1] years		 European — UKB —
PSS000164 — — 81,303 individuals,
46.0 % Male samples
 Mean = 57.27 years
Range = [39.99, 70.44] years		 European — UKB —
PSS000165 — — 81,570 individuals,
46.0 % Male samples
 Mean = 57.27 years
Range = [39.98, 70.7] years		 European — UKB —
PSS000166 — — 81,431 individuals,
46.0 % Male samples
 Mean = 57.26 years
Range = [40.15, 71.1] years		 European — UKB —
PSS000167 — — 80,799 individuals,
46.0 % Male samples
 Mean = 57.23 years
Range = [39.66, 70.7] years		 European — UKB —
PSS000168 — — 80,627 individuals,
46.0 % Male samples
 Mean = 57.23 years
Range = [40.19, 71.1] years		 European — UKB —
PSS000169 — — 78,320 individuals,
46.0 % Male samples
 Mean = 57.26 years
Range = [38.87, 70.99] years		 European — UKB —
PSS000170 — — 81,358 individuals,
45.0 % Male samples
 Mean = 57.19 years
Range = [40.19, 72.44] years		 European — UKB —
PSS000171 — — 81,423 individuals,
46.0 % Male samples
 Mean = 57.25 years
Range = [39.99, 70.5] years		 European — UKB —
PSS000172 — — 78,161 individuals,
46.0 % Male samples
 Mean = 57.2 years
Range = [39.66, 72.91] years		 European — UKB —
PSS000173 — — 78,290 individuals,
46.0 % Male samples
 Mean = 57.2 years
Range = [39.99, 70.53] years		 European — UKB —
PSS000174 — — 78,246 individuals,
46.0 % Male samples
 Mean = 57.23 years
Range = [39.98, 70.43] years		 European — UKB —
PSS000175 — — 81,614 individuals,
45.0 % Male samples
 Mean = 57.26 years
Range = [39.99, 70.99] years		 European — UKB —
PSS000176 — — 79,344 individuals,
46.0 % Male samples
 Mean = 57.29 years
Range = [39.66, 72.91] years		 European — UKB —
PSS000177 — — 79,362 individuals,
46.0 % Male samples
 Mean = 57.22 years
Range = [39.66, 72.91] years		 European — UKB —
PSS000178 — — 81,606 individuals,
46.0 % Male samples
 Mean = 57.23 years
Range = [38.87, 70.97] years		 European — UKB —