Trait: leukocyte quantity

Trait Information
Identifier OBA_VT0000217
Description The amount of a leukocyte. [AUTO: patterns/patterns/entity_attribute]
Trait category
Other trait
Synonym amount of leukocyte

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
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)
PGS000113
(wbc)
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 White blood cell count leukocyte quantity 28,383
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000113/ScoringFiles/PGS000113.txt.gz
PGS000191
(wbc)
 PGP000078 |
Vuckovic D et al. Cell (2020)
 White blood cell count leukocyte quantity 636
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000191/ScoringFiles/PGS000191.txt.gz
PGS001239
(GBE_INI30000)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 White blood cell count leukocyte quantity 13,785
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001239/ScoringFiles/PGS001239.txt.gz
PGS001962
(portability-PLR_log_leukocyte)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 White blood cell (leukocyte) count leukocyte quantity 80,228
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001962/ScoringFiles/PGS001962.txt.gz
PGS002180
(portability-ldpred2_log_leukocyte)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 White blood cell (leukocyte) count leukocyte quantity 846,337
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002180/ScoringFiles/PGS002180.txt.gz
PGS002357
(blood_WHITE_COUNT.BOLT-LMM)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 White blood cell count leukocyte quantity 1,109,311
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002357/ScoringFiles/PGS002357.txt.gz
PGS002380
(blood_WHITE_COUNT.BOLT-LMM-BBJ)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 White blood cell count leukocyte quantity 920,936
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002380/ScoringFiles/PGS002380.txt.gz
PGS002429
(blood_WHITE_COUNT.P+T.0.0001)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 White blood cell count leukocyte quantity 13,898
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002429/ScoringFiles/PGS002429.txt.gz
PGS002478
(blood_WHITE_COUNT.P+T.0.001)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 White blood cell count leukocyte quantity 35,005
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002478/ScoringFiles/PGS002478.txt.gz
PGS002527
(blood_WHITE_COUNT.P+T.0.01)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 White blood cell count leukocyte quantity 141,866
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002527/ScoringFiles/PGS002527.txt.gz
PGS002576
(blood_WHITE_COUNT.P+T.1e-06)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 White blood cell count leukocyte quantity 4,921
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002576/ScoringFiles/PGS002576.txt.gz
PGS002625
(blood_WHITE_COUNT.P+T.5e-08)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 White blood cell count leukocyte quantity 3,184
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002625/ScoringFiles/PGS002625.txt.gz
PGS002674
(blood_WHITE_COUNT.PolyFun-pred)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 White blood cell count leukocyte quantity 491,764
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002674/ScoringFiles/PGS002674.txt.gz
PGS002723
(blood_WHITE_COUNT.SBayesR)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 White blood cell count leukocyte quantity 983,751
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002723/ScoringFiles/PGS002723.txt.gz
PGS003483
(LDPred2_WBC)
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 White blood cell count leukocyte quantity 860,306
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003483/ScoringFiles/PGS003483.txt.gz
PGS003541
(cont-decay-log_leukocyte)
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 White blood cell (leukocyte) count leukocyte quantity 979,739
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003541/ScoringFiles/PGS003541.txt.gz
PGS003924
(INI30000)
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 White blood cell (leukocyte) count leukocyte quantity 17,890
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003924/ScoringFiles/PGS003924.txt.gz
PGS004345
(X30000.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 White blood cell (leukocyte) count leukocyte quantity 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004345/ScoringFiles/PGS004345.txt.gz
PGS004855
(WBC_PRSmix_eur)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 White blood cell count leukocyte quantity 1,165,158
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004855/ScoringFiles/PGS004855.txt.gz
PGS004856
(WBC_PRSmix_sas)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 White blood cell count leukocyte quantity 6,594,323
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004856/ScoringFiles/PGS004856.txt.gz
PGS004857
(WBC_PRSmixPlus_eur)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 White blood cell count leukocyte quantity 4,141,649
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004857/ScoringFiles/PGS004857.txt.gz
PGS004858
(WBC_PRSmixPlus_sas)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 White blood cell count leukocyte quantity 6,594,323
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004858/ScoringFiles/PGS004858.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

PGS Performance
Metric ID (PPM) 		Evaluated Score PGS Sample Set ID
(PSS) 		Performance Source Trait PGS Effect Sizes
(per SD change) 		Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
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) —
PPM000560 PGS000191
(wbc)
 PSS000290|
European Ancestry|
2,314 individuals
 PGP000078 |
Vuckovic D et al. Cell (2020)
 Reported Trait: White blood cell count — — R²: 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 — — R²: 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 — —
PPM008704 PGS001239
(GBE_INI30000)
 PSS006891|
African Ancestry|
6,139 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: White blood cell count — — R²: 0.05282 [0.04224, 0.0634]
Incremental R2 (full-covars): 0.00963
PGS R2 (no covariates): 0.01451 [0.00874, 0.02028]		 age, sex, UKB array type, Genotype PCs —
PPM008705 PGS001239
(GBE_INI30000)
 PSS006892|
East Asian Ancestry|
1,655 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: White blood cell count — — R²: 0.07596 [0.05182, 0.10009]
Incremental R2 (full-covars): 0.0496
PGS R2 (no covariates): 0.05069 [0.03044, 0.07095]		 age, sex, UKB array type, Genotype PCs —
PPM008706 PGS001239
(GBE_INI30000)
 PSS006893|
European Ancestry|
24,174 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: White blood cell count — — R²: 0.08839 [0.08166, 0.09513]
Incremental R2 (full-covars): 0.07763
PGS R2 (no covariates): 0.08212 [0.07559, 0.08865]		 age, sex, UKB array type, Genotype PCs —
PPM008707 PGS001239
(GBE_INI30000)
 PSS006894|
South Asian Ancestry|
7,520 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: White blood cell count — — R²: 0.07166 [0.06066, 0.08267]
Incremental R2 (full-covars): 0.06404
PGS R2 (no covariates): 0.06438 [0.05387, 0.07489]		 age, sex, UKB array type, Genotype PCs —
PPM008708 PGS001239
(GBE_INI30000)
 PSS006895|
European Ancestry|
65,638 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: White blood cell count — — R²: 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 —
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 —
PPM012287 PGS002180
(portability-ldpred2_log_leukocyte)
 PSS009451|
European Ancestry|
19,419 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: White blood cell (leukocyte) count — — Partial Correlation (partial-r): 0.3596 [0.3473, 0.3718] sex, age, birth date, deprivation index, 16 PCs —
PPM012288 PGS002180
(portability-ldpred2_log_leukocyte)
 PSS009225|
European Ancestry|
4,002 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: White blood cell (leukocyte) count — — Partial Correlation (partial-r): 0.3332 [0.3053, 0.3605] sex, age, birth date, deprivation index, 16 PCs —
PPM012289 PGS002180
(portability-ldpred2_log_leukocyte)
 PSS008779|
European Ancestry|
6,437 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: White blood cell (leukocyte) count — — Partial Correlation (partial-r): 0.3368 [0.3149, 0.3583] sex, age, birth date, deprivation index, 16 PCs —
PPM012290 PGS002180
(portability-ldpred2_log_leukocyte)
 PSS008553|
Greater Middle Eastern Ancestry|
1,153 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: White blood cell (leukocyte) count — — Partial Correlation (partial-r): 0.2706 [0.2158, 0.3237] sex, age, birth date, deprivation index, 16 PCs —
PPM012291 PGS002180
(portability-ldpred2_log_leukocyte)
 PSS008331|
South Asian Ancestry|
6,078 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: White blood cell (leukocyte) count — — Partial Correlation (partial-r): 0.3147 [0.2919, 0.3372] sex, age, birth date, deprivation index, 16 PCs —
PPM012292 PGS002180
(portability-ldpred2_log_leukocyte)
 PSS008108|
East Asian Ancestry|
1,762 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: White blood cell (leukocyte) count — — Partial Correlation (partial-r): 0.2454 [0.2007, 0.289] sex, age, birth date, deprivation index, 16 PCs —
PPM012293 PGS002180
(portability-ldpred2_log_leukocyte)
 PSS007895|
African Ancestry|
2,343 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: White blood cell (leukocyte) count — — Partial Correlation (partial-r): 0.1863 [0.1467, 0.2253] sex, age, birth date, deprivation index, 16 PCs —
PPM012294 PGS002180
(portability-ldpred2_log_leukocyte)
 PSS008999|
African Ancestry|
3,711 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: White blood cell (leukocyte) count — — Partial Correlation (partial-r): 0.1563 [0.1247, 0.1876] sex, age, birth date, deprivation index, 16 PCs —
PPM013122 PGS002357
(blood_WHITE_COUNT.BOLT-LMM)
 PSS009871|
African Ancestry|
6,149 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0249 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013171 PGS002357
(blood_WHITE_COUNT.BOLT-LMM)
 PSS009872|
East Asian Ancestry|
893 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0616 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013220 PGS002357
(blood_WHITE_COUNT.BOLT-LMM)
 PSS009873|
European Ancestry|
42,026 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.123 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013269 PGS002357
(blood_WHITE_COUNT.BOLT-LMM)
 PSS009874|
South Asian Ancestry|
7,769 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0945 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013315 PGS002380
(blood_WHITE_COUNT.BOLT-LMM-BBJ)
 PSS009872|
East Asian Ancestry|
893 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0507 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013338 PGS002380
(blood_WHITE_COUNT.BOLT-LMM-BBJ)
 PSS009873|
European Ancestry|
42,026 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0029 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013361 PGS002380
(blood_WHITE_COUNT.BOLT-LMM-BBJ)
 PSS009874|
South Asian Ancestry|
7,769 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0025 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013292 PGS002380
(blood_WHITE_COUNT.BOLT-LMM-BBJ)
 PSS009871|
African Ancestry|
6,149 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0018 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013410 PGS002429
(blood_WHITE_COUNT.P+T.0.0001)
 PSS009871|
African Ancestry|
6,149 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.004 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013459 PGS002429
(blood_WHITE_COUNT.P+T.0.0001)
 PSS009872|
East Asian Ancestry|
893 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0423 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013508 PGS002429
(blood_WHITE_COUNT.P+T.0.0001)
 PSS009873|
European Ancestry|
42,026 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0662 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013557 PGS002429
(blood_WHITE_COUNT.P+T.0.0001)
 PSS009874|
South Asian Ancestry|
7,769 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0458 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013606 PGS002478
(blood_WHITE_COUNT.P+T.0.001)
 PSS009871|
African Ancestry|
6,149 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013655 PGS002478
(blood_WHITE_COUNT.P+T.0.001)
 PSS009872|
East Asian Ancestry|
893 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.036 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013704 PGS002478
(blood_WHITE_COUNT.P+T.0.001)
 PSS009873|
European Ancestry|
42,026 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.069 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013753 PGS002478
(blood_WHITE_COUNT.P+T.0.001)
 PSS009874|
South Asian Ancestry|
7,769 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0441 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013802 PGS002527
(blood_WHITE_COUNT.P+T.0.01)
 PSS009871|
African Ancestry|
6,149 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013851 PGS002527
(blood_WHITE_COUNT.P+T.0.01)
 PSS009872|
East Asian Ancestry|
893 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0109 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013900 PGS002527
(blood_WHITE_COUNT.P+T.0.01)
 PSS009873|
European Ancestry|
42,026 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0384 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013949 PGS002527
(blood_WHITE_COUNT.P+T.0.01)
 PSS009874|
South Asian Ancestry|
7,769 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0128 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013998 PGS002576
(blood_WHITE_COUNT.P+T.1e-06)
 PSS009871|
African Ancestry|
6,149 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0151 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014047 PGS002576
(blood_WHITE_COUNT.P+T.1e-06)
 PSS009872|
East Asian Ancestry|
893 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0323 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014096 PGS002576
(blood_WHITE_COUNT.P+T.1e-06)
 PSS009873|
European Ancestry|
42,026 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0515 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014145 PGS002576
(blood_WHITE_COUNT.P+T.1e-06)
 PSS009874|
South Asian Ancestry|
7,769 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0369 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014194 PGS002625
(blood_WHITE_COUNT.P+T.5e-08)
 PSS009871|
African Ancestry|
6,149 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0181 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014292 PGS002625
(blood_WHITE_COUNT.P+T.5e-08)
 PSS009873|
European Ancestry|
42,026 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0445 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014341 PGS002625
(blood_WHITE_COUNT.P+T.5e-08)
 PSS009874|
South Asian Ancestry|
7,769 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.033 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014243 PGS002625
(blood_WHITE_COUNT.P+T.5e-08)
 PSS009872|
East Asian Ancestry|
893 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.027 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014390 PGS002674
(blood_WHITE_COUNT.PolyFun-pred)
 PSS009871|
African Ancestry|
6,149 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.047 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_WHITE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014439 PGS002674
(blood_WHITE_COUNT.PolyFun-pred)
 PSS009872|
East Asian Ancestry|
893 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0632 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_WHITE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014488 PGS002674
(blood_WHITE_COUNT.PolyFun-pred)
 PSS009873|
European Ancestry|
42,026 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1299 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_WHITE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014537 PGS002674
(blood_WHITE_COUNT.PolyFun-pred)
 PSS009874|
South Asian Ancestry|
7,769 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1008 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_WHITE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014586 PGS002723
(blood_WHITE_COUNT.SBayesR)
 PSS009871|
African Ancestry|
6,149 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0218 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014635 PGS002723
(blood_WHITE_COUNT.SBayesR)
 PSS009872|
East Asian Ancestry|
893 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0624 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014684 PGS002723
(blood_WHITE_COUNT.SBayesR)
 PSS009873|
European Ancestry|
42,026 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.1169 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014733 PGS002723
(blood_WHITE_COUNT.SBayesR)
 PSS009874|
South Asian Ancestry|
7,769 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: White Blood Count — — Incremental R2 (full model vs. covariates alone): 0.0902 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM017292 PGS003483
(LDPred2_WBC)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index β: -0.007 (0.01) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017315 PGS003483
(LDPred2_WBC)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea β: -0.023 (0.024) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017469 PGS003541
(cont-decay-log_leukocyte)
 PSS010906|
European Ancestry|
19,415 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: White blood cell (leukocyte) count — — partial-R2: 0.12 sex, age, deprivation index, PC1-16 —
PPM017553 PGS003541
(cont-decay-log_leukocyte)
 PSS010822|
European Ancestry|
3,991 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: White blood cell (leukocyte) count — — partial-R2: 0.11 sex, age, deprivation index, PC1-16 —
PPM017721 PGS003541
(cont-decay-log_leukocyte)
 PSS010570|
Greater Middle Eastern Ancestry|
1,123 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: White blood cell (leukocyte) count — — partial-R2: 0.09 sex, age, deprivation index, PC1-16 —
PPM017805 PGS003541
(cont-decay-log_leukocyte)
 PSS010234|
European Ancestry|
2,264 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: White blood cell (leukocyte) count — — partial-R2: 0.12 sex, age, deprivation index, PC1-16 —
PPM017889 PGS003541
(cont-decay-log_leukocyte)
 PSS010486|
South Asian Ancestry|
6,026 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: White blood cell (leukocyte) count — — partial-R2: 0.1 sex, age, deprivation index, PC1-16 —
PPM018057 PGS003541
(cont-decay-log_leukocyte)
 PSS010318|
African Ancestry|
2,330 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: White blood cell (leukocyte) count — — partial-R2: 0.03 sex, age, deprivation index, PC1-16 —
PPM018141 PGS003541
(cont-decay-log_leukocyte)
 PSS010738|
African Ancestry|
3,682 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: White blood cell (leukocyte) count — — partial-R2: 0.02 sex, age, deprivation index, PC1-16 —
PPM017637 PGS003541
(cont-decay-log_leukocyte)
 PSS010654|
European Ancestry|
6,278 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: White blood cell (leukocyte) count — — partial-R2: 0.11 sex, age, deprivation index, PC1-16 —
PPM017973 PGS003541
(cont-decay-log_leukocyte)
 PSS010402|
East Asian Ancestry|
1,750 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: White blood cell (leukocyte) count — — partial-R2: 0.05 sex, age, deprivation index, PC1-16 —
PPM018940 PGS003924
(INI30000)
 PSS011109|
European Ancestry|
2,813 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: White blood cell (leukocyte) count — — R²: 0.09098 [0.07103, 0.11094]
PGS R2 (no covariates): 0.07615 [0.05759, 0.0947]
Incremental R2 (full-covars): 0.07328		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018941 PGS003924
(INI30000)
 PSS011113|
South Asian Ancestry|
1,433 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: White blood cell (leukocyte) count — — R²: 0.09373 [0.06559, 0.12186]
PGS R2 (no covariates): 0.08974 [0.06208, 0.11739]
Incremental R2 (full-covars): 0.08665		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018942 PGS003924
(INI30000)
 PSS011155|
African Ancestry|
1,157 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: White blood cell (leukocyte) count — — R²: 0.05083 [0.02681, 0.07484]
PGS R2 (no covariates): 0.04407 [0.02155, 0.06659]
Incremental R2 (full-covars): 0.04309		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018943 PGS003924
(INI30000)
 PSS011166|
Multi-ancestry (excluding European)|
7,746 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: White blood cell (leukocyte) count — — R²: 0.09843 [0.08604, 0.11081]
PGS R2 (no covariates): 0.08243 [0.0709, 0.09397]
Incremental R2 (full-covars): 0.07062		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018939 PGS003924
(INI30000)
 PSS011136|
European Ancestry|
65,932 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: White blood cell (leukocyte) count — — R²: 0.08905 [0.08496, 0.09315]
PGS R2 (no covariates): 0.07643 [0.07259, 0.08028]
Incremental R2 (full-covars): 0.07561		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM020460 PGS004345
(X30000.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: White blood cell (leukocyte) count — — PGS R2 (no covariates): 0.24739 — —
PPM021080 PGS004855
(WBC_PRSmix_eur)
 PSS011512|
European Ancestry|
5,118 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: White blood count — — Incremental R2 (Full model versus model with only covariates): 0.075 [0.061, 0.089] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021081 PGS004856
(WBC_PRSmix_sas)
 PSS011477|
South Asian Ancestry|
7,058 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: White blood count — — Incremental R2 (Full model versus model with only covariates): 0.084 [0.072, 0.097] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021082 PGS004857
(WBC_PRSmixPlus_eur)
 PSS011512|
European Ancestry|
5,118 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: White blood count — — Incremental R2 (Full model versus model with only covariates): 0.085 [0.071, 0.1] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021083 PGS004858
(WBC_PRSmixPlus_sas)
 PSS011477|
South Asian Ancestry|
7,058 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: White blood count — — Incremental R2 (Full model versus model with only covariates): 0.089 [0.076, 0.102] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)

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
PSS010654 — — 6,278 individuals,
45.0 % Male samples
 Mean = 54.5 years
Sd = 8.4 years		 European Italian UKB —
PSS009871 — — 6,149 individuals — African unspecified — UKB —
PSS009872 — — 893 individuals — East Asian — UKB —
PSS009873 — — 42,026 individuals — European Non-British European UKB —
PSS009874 — — 7,769 individuals — South Asian — UKB —
PSS008779 — — 6,437 individuals — European Italy (South Europe) UKB —
PSS010402 — — 1,750 individuals,
33.0 % Male samples
 Mean = 52.5 years
Sd = 7.8 years		 East Asian Chinese UKB —
PSS011155 — — 1,157 individuals — African unspecified — UKB —
PSS007895 — — 2,343 individuals — African American or Afro-Caribbean Carribean UKB —
PSS011136 — — 65,932 individuals — European
(white British ancestry)		 — UKB —
PSS011166 — — 7,746 individuals — East Asian, Other admixed ancestry East Asian, Other admixed ancestry UKB —
PSS011477 — — 7,058 individuals — South Asian — G&H —
PSS008553 — — 1,153 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS000290 — — 2,314 individuals — European
(French Canadian)		 — CARTaGENE —
PSS000291 — — 39,260 individuals — European — INTERVAL —
PSS009451 — — 19,419 individuals — European UK (+ Ireland) UKB —
PSS010822 — — 3,991 individuals,
38.0 % Male samples
 Mean = 54.3 years
Sd = 7.5 years		 European Polish UKB —
PSS010570 — — 1,123 individuals,
59.0 % Male samples
 Mean = 52.0 years
Sd = 8.0 years		 Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB —
PSS006891 — — 6,139 individuals — African unspecified — UKB —
PSS000911 — — 13,989 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian)
(Qatari)		 — QBB —
PSS006892 — — 1,655 individuals — East Asian — UKB —
PSS006893 — — 24,174 individuals — European non-white British ancestry UKB —
PSS006894 — — 7,520 individuals — South Asian — UKB —
PSS006895 — — 65,638 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS010185 — — 1,115 individuals,
41.1 % Male samples
 Mean = 46.18 years Hispanic or Latin American — HCHS, SOL —
PSS010318 — — 2,330 individuals,
37.0 % Male samples
 Mean = 52.4 years
Sd = 8.0 years		 African American or Afro-Caribbean Caribbean UKB —
PSS009225 — — 4,002 individuals — European Poland (NE Europe) UKB —
PSS011512 — — 5,118 individuals — European — AllofUs —
PSS008331 — — 6,078 individuals — South Asian India (South Asia) UKB —
PSS000152 — — 40,466 individuals,
49.0 % Male samples
 Mean = 43.84 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS010738 — — 3,682 individuals,
47.0 % Male samples
 Mean = 51.9 years
Sd = 8.1 years		 African unspecified Nigerian UKB —
PSS010486 — — 6,026 individuals,
55.0 % Male samples
 Mean = 53.3 years
Sd = 8.4 years		 South Asian Indian UKB —
PSS011364 — — 56,192 individuals — European — UKB —
PSS010234 — — 2,264 individuals,
45.0 % Male samples
 Mean = 58.0 years
Sd = 7.1 years		 European Ashkenazi UKB —
PSS011109 — — 2,813 individuals — European
(non-white British ancestry)		 — UKB —
PSS008999 — — 3,711 individuals — African unspecified Nigeria (West Africa) UKB —
PSS011113 — — 1,433 individuals — South Asian — UKB —
PSS008108 — — 1,762 individuals — East Asian China (East Asia) UKB —
PSS000178 — — 81,606 individuals,
46.0 % Male samples
 Mean = 57.23 years
Range = [38.87, 70.97] years		 European — UKB —
PSS010906 — — 19,415 individuals,
46.0 % Male samples
 Mean = 56.9 years
Sd = 7.9 years		 European white British UKB —