PGS Preprint: PGP000051

Publication Information (EuropePMC)
Title Learning polygenic scores for human blood cell traits
doi 10.1101/2020.02.17.952788
Publication Date Feb. 18, 2020
Journal bioRxiv Preprint
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: Feb. 19, 2020

Associated Polygenic Score(s)

PGS Developed By This Publication

Polygenic Score (PGS) ID PGS Name PGS Publication (PGP) ID Reported Trait Mapped Trait(s) (Ontology) Number of Variants PGS Scoring File (FTP Link)
PGS000088 baso PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Basophil count basophil count 198 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000088/ScoringFiles/PGS000088.txt.gz
PGS000089 baso_p PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Basophil percentage of white cells basophil percentage of leukocytes 160 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000089/ScoringFiles/PGS000089.txt.gz
PGS000090 eo PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Eosinophil count eosinophil count 623 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000090/ScoringFiles/PGS000090.txt.gz
PGS000091 eo_p PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Eosinophil percentage of white cells eosinophil percentage of leukocytes 589 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000091/ScoringFiles/PGS000091.txt.gz
PGS000092 hct PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Hematocrit hematocrit 513 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000092/ScoringFiles/PGS000092.txt.gz
PGS000093 hgb PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Hemoglobin concentration hemoglobin measurement 532 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000093/ScoringFiles/PGS000093.txt.gz
PGS000094 hlr PGP000051
Xu Y et al. bioRxiv (2020)
Pre
High light scatter reticulocyte count reticulocyte count 605 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000094/ScoringFiles/PGS000094.txt.gz
PGS000095 hlr_p PGP000051
Xu Y et al. bioRxiv (2020)
Pre
High light scatter reticulocyte percentage of red cells reticulocyte count 594 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000095/ScoringFiles/PGS000095.txt.gz
PGS000096 irf PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Immature fraction of reticulocytes reticulocyte count 390 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000096/ScoringFiles/PGS000096.txt.gz
PGS000097 lymph PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Lymphocyte count lymphocyte count 639 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000097/ScoringFiles/PGS000097.txt.gz
PGS000098 lymph_p PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Lymphocyte percentage of white cells lymphocyte percentage of leukocytes 489 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000098/ScoringFiles/PGS000098.txt.gz
PGS000099 mch PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Mean corpuscular hemoglobin mean corpuscular hemoglobin 682 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000099/ScoringFiles/PGS000099.txt.gz
PGS000100 mchc PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Mean corpuscular hemoglobin concentration mean corpuscular hemoglobin concentration 252 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000100/ScoringFiles/PGS000100.txt.gz
PGS000101 mcv PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Mean corpuscular volume mean corpuscular volume 739 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000101/ScoringFiles/PGS000101.txt.gz
PGS000102 mono PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Monocyte count monocyte count 674 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000102/ScoringFiles/PGS000102.txt.gz
PGS000103 mono_p PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Monocyte percentage of white cells monocyte percentage of leukocytes 583 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000103/ScoringFiles/PGS000103.txt.gz
PGS000104 mpv PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Mean platelet volume mean platelet volume 681 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000104/ScoringFiles/PGS000104.txt.gz
PGS000105 neut PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Neutrophil count neutrophil count 512 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000105/ScoringFiles/PGS000105.txt.gz
PGS000106 neut_p PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Neutrophil percentage of white cells neutrophil percentage of leukocytes 452 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000106/ScoringFiles/PGS000106.txt.gz
PGS000107 pct PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Plateletcrit platelet crit 726 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000107/ScoringFiles/PGS000107.txt.gz
PGS000108 pdw PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Platelet distribution width platelet component distribution width 579 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000108/ScoringFiles/PGS000108.txt.gz
PGS000109 plt PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Platelet count platelet count 762 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000109/ScoringFiles/PGS000109.txt.gz
PGS000110 rbc PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Red blood cell count erythrocyte count 707 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000110/ScoringFiles/PGS000110.txt.gz
PGS000111 ret PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Reticulocyte count reticulocyte count 590 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000111/ScoringFiles/PGS000111.txt.gz
PGS000112 ret_p PGP000051
Xu Y et al. bioRxiv (2020)
Pre
Reticulocyte fraction of red cells reticulocyte count 572 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000112/ScoringFiles/PGS000112.txt.gz
PGS000113 wbc PGP000051
Xu Y et al. bioRxiv (2020)
Pre
White blood cell count leukocyte count 659 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000113/ScoringFiles/PGS000113.txt.gz

PGS 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 ID)
Evaluated Score PGS Sample Set ID
(PSS ID)
Performance Source Trait PGS Effect Sizes
(per SD change)
PGS Classification Metrics Other Metrics Covariates Included in the Model PGS Performance: Other Relevant Information
PPM000208 PGS000088 (baso) PSS000153 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Basophil count Pearson correlation coefficent (r): 0.2021 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000209 PGS000088 (baso) PSS000127 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Basophil count Pearson correlation coefficent (r): 0.1804 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment)
PPM000210 PGS000089 (baso_p) PSS000154 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Basophil percentage of white cells Pearson correlation coefficent (r): 0.1911 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000211 PGS000089 (baso_p) PSS000128 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Basophil percentage of white cells Pearson correlation coefficent (r): 0.1632 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment)
PPM000212 PGS000090 (eo) PSS000155 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Eosinophil count Pearson correlation coefficent (r): 0.383 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000213 PGS000090 (eo) PSS000129 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Eosinophil count Pearson correlation coefficent (r): 0.3556 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment)
PPM000214 PGS000091 (eo_p) PSS000156 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Eosinophil percentage of white cells Pearson correlation coefficent (r): 0.3687 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000215 PGS000091 (eo_p) PSS000130 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Eosinophil percentage of white cells Pearson correlation coefficent (r): 0.3412 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment)
PPM000216 PGS000092 (hct) PSS000157 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Hematocrit Pearson correlation coefficent (r): 0.3271 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Hematocrit Pearson correlation coefficent (r): 0.2458 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Hemoglobin concentration Pearson correlation coefficent (r): 0.3425 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Hemoglobin concentration Pearson correlation coefficent (r): 0.2567 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: High light scatter reticulocyte count Pearson correlation coefficent (r): 0.4294 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: High light scatter reticulocyte count Pearson correlation coefficent (r): 0.363 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: High light scatter reticulocyte percentage of red cells Pearson correlation coefficent (r): 0.4385 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: High light scatter reticulocyte percentage of red cells Pearson correlation coefficent (r): 0.3687 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment)
PPM000224 PGS000096 (irf) PSS000161 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Immature fraction of reticulocytes Pearson correlation coefficent (r): 0.3512 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Immature fraction of reticulocytes Pearson correlation coefficent (r): 0.3367 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Lymphocyte count Pearson correlation coefficent (r): 0.369 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000227 PGS000097 (lymph) PSS000136 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Lymphocyte count Pearson correlation coefficent (r): 0.3511 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment)
PPM000228 PGS000098 (lymph_p) PSS000163 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Lymphocyte percentage of white cells Pearson correlation coefficent (r): 0.3046 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000229 PGS000098 (lymph_p) PSS000137 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Lymphocyte percentage of white cells Pearson correlation coefficent (r): 0.2817 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment)
PPM000230 PGS000099 (mch) PSS000164 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Mean corpuscular hemoglobin Pearson correlation coefficent (r): 0.5252 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Mean corpuscular hemoglobin Pearson correlation coefficent (r): 0.4583 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Mean corpuscular hemoglobin concentration Pearson correlation coefficent (r): 0.2755 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Mean corpuscular hemoglobin concentration Pearson correlation coefficent (r): 0.2642 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Mean corpuscular volume Pearson correlation coefficent (r): 0.537 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Mean corpuscular volume Pearson correlation coefficent (r): 0.4384 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Monocyte count Pearson correlation coefficent (r): 0.4644 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000237 PGS000102 (mono) PSS000141 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Monocyte count Pearson correlation coefficent (r): 0.4319 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment)
PPM000238 PGS000103 (mono_p) PSS000168 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Monocyte percentage of white cells Pearson correlation coefficent (r): 0.4395 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000239 PGS000103 (mono_p) PSS000142 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Monocyte percentage of white cells Pearson correlation coefficent (r): 0.4207 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment)
PPM000240 PGS000104 (mpv) PSS000169 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Mean platelet volume Pearson correlation coefficent (r): 0.5811 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Mean platelet volume Pearson correlation coefficent (r): 0.5759 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Neutrophil count Pearson correlation coefficent (r): 0.3359 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000243 PGS000105 (neut) PSS000144 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Neutrophil count Pearson correlation coefficent (r): 0.3159 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment)
PPM000244 PGS000106 (neut_p) PSS000171 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Neutrophil percentage of white cells Pearson correlation coefficent (r): 0.2924 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000245 PGS000106 (neut_p) PSS000145 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Neutrophil percentage of white cells Pearson correlation coefficent (r): 0.2774 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment)
PPM000246 PGS000107 (pct) PSS000172 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Plateletcrit Pearson correlation coefficent (r): 0.4584 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Plateletcrit Pearson correlation coefficent (r): 0.4375 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Platelet distribution width Pearson correlation coefficent (r): 0.4784 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Platelet distribution width Pearson correlation coefficent (r): 0.2701 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Platelet count Pearson correlation coefficent (r): 0.4843 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Platelet count Pearson correlation coefficent (r): 0.4797 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Red blood cell count Pearson correlation coefficent (r): 0.4029 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Red blood cell count Pearson correlation coefficent (r): 0.3631 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Reticulocyte count Pearson correlation coefficent (r): 0.4241 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Reticulocyte count Pearson correlation coefficent (r): 0.4069 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Reticulocyte fraction of red cells Pearson correlation coefficent (r): 0.4316 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: Reticulocyte fraction of red cells Pearson correlation coefficent (r): 0.423 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 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: White blood cell count Pearson correlation coefficent (r): 0.3655 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000259 PGS000113 (wbc) PSS000152 PGP000051
Xu Y et al. (2020)
Pre
Reported Trait: White blood cell count Pearson correlation coefficent (r): 0.3394 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment)

Evaluated Samples

PGS Sample Set ID
(PSS ID)
Detailed Phenotype Description 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