Trait: monocyte count

Experimental Factor Ontology (EFO) Information
Identifier EFO_0005091
Description quantification of monocytes in the blood
Trait category
Hematological measurement
Mapped terms 3 mapped terms
  • MedDRA:10027876
  • NCIt:C64823
  • SNOMEDCT:67776007
Child trait(s) monocyte percentage of leukocytes

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "monocyte count" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution
GWAS
Dev
Eval
 Scoring File (FTP Link)
PGS000102
(mono)
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Monocyte count monocyte count 28,162
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000102/ScoringFiles/PGS000102.txt.gz
PGS000103
(mono_p)
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Monocyte percentage of white cells monocyte percentage of leukocytes 22,843
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000103/ScoringFiles/PGS000103.txt.gz
PGS000177
(mono)
 PGP000078 |
Vuckovic D et al. Cell (2020)
 Monocyte count monocyte count 638
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000177/ScoringFiles/PGS000177.txt.gz
PGS000178
(mono_p)
 PGP000078 |
Vuckovic D et al. Cell (2020)
 Monocyte percentage of white cells monocyte percentage of leukocytes 549
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000178/ScoringFiles/PGS000178.txt.gz
PGS001078
(GBE_INI30190)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Monocyte percentage monocyte percentage of leukocytes 8,762
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001078/ScoringFiles/PGS001078.txt.gz
PGS001163
(GBE_INI30130)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Monocyte count monocyte count 9,323
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001163/ScoringFiles/PGS001163.txt.gz
PGS001968
(portability-PLR_log_monocyte)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Monocyte count monocyte count 46,673
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001968/ScoringFiles/PGS001968.txt.gz
PGS001991
(portability-PLR_monocyte_perc)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Monocyte percentage monocyte percentage of leukocytes 41,887
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001991/ScoringFiles/PGS001991.txt.gz
PGS002186
(portability-ldpred2_log_monocyte)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Monocyte count monocyte count 641,455
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002186/ScoringFiles/PGS002186.txt.gz
PGS002208
(portability-ldpred2_monocyte_perc)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Monocyte percentage monocyte percentage of leukocytes 544,905
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002208/ScoringFiles/PGS002208.txt.gz
PGS002341
(blood_MONOCYTE_COUNT.BOLT-LMM)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Monocyte count monocyte count 1,109,311
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002341/ScoringFiles/PGS002341.txt.gz
PGS002372
(blood_MONOCYTE_COUNT.BOLT-LMM-BBJ)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Monocyte count monocyte count 920,930
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002372/ScoringFiles/PGS002372.txt.gz
PGS002413
(blood_MONOCYTE_COUNT.P+T.0.0001)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Monocyte count monocyte count 17,405
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002413/ScoringFiles/PGS002413.txt.gz
PGS002462
(blood_MONOCYTE_COUNT.P+T.0.001)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Monocyte count monocyte count 38,012
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002462/ScoringFiles/PGS002462.txt.gz
PGS002511
(blood_MONOCYTE_COUNT.P+T.0.01)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Monocyte count monocyte count 140,833
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002511/ScoringFiles/PGS002511.txt.gz
PGS002560
(blood_MONOCYTE_COUNT.P+T.1e-06)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Monocyte count monocyte count 7,666
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002560/ScoringFiles/PGS002560.txt.gz
PGS002609
(blood_MONOCYTE_COUNT.P+T.5e-08)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Monocyte count monocyte count 5,367
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002609/ScoringFiles/PGS002609.txt.gz
PGS002658
(blood_MONOCYTE_COUNT.PolyFun-pred)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Monocyte count monocyte count 353,881
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002658/ScoringFiles/PGS002658.txt.gz
PGS002707
(blood_MONOCYTE_COUNT.SBayesR)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Monocyte count monocyte count 980,307
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002707/ScoringFiles/PGS002707.txt.gz
PGS003544
(cont-decay-log_monocyte)
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Monocyte count monocyte count 979,739
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003544/ScoringFiles/PGS003544.txt.gz
PGS003562
(cont-decay-monocyte_perc)
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Monocyte percentage monocyte percentage of leukocytes 979,739
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003562/ScoringFiles/PGS003562.txt.gz
PGS003937
(INI30130)
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Monocyte count monocyte count 13,415
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003937/ScoringFiles/PGS003937.txt.gz
PGS003942
(INI30190)
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Monocyte percentage monocyte percentage of leukocytes 10,717
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003942/ScoringFiles/PGS003942.txt.gz
PGS004357
(X30130.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Monocyte count monocyte count 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004357/ScoringFiles/PGS004357.txt.gz
PGS004360
(X30190.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Monocyte percentage monocyte percentage of leukocytes 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004360/ScoringFiles/PGS004360.txt.gz
PGS004801
(Monocytes_PRSmix_eur)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Monocyte count monocyte count 1,099,478
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004801/ScoringFiles/PGS004801.txt.gz
PGS004802
(Monocytes_PRSmix_sas)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Monocyte count monocyte count 2,743,298
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004802/ScoringFiles/PGS004802.txt.gz
PGS004803
(Monocytes_PRSmixPlus_eur)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Monocyte count monocyte count 3,020,361
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004803/ScoringFiles/PGS004803.txt.gz
PGS004804
(Monocytes_PRSmixPlus_sas)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Monocyte count monocyte count 2,743,298
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004804/ScoringFiles/PGS004804.txt.gz

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
PPM000236 PGS000102
(mono)
 PSS000167|
European Ancestry|
80,799 individuals
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Reported Trait: Monocyte count — — Pearson correlation coefficent (r): 0.49849 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000237 PGS000102
(mono)
 PSS000141|
European Ancestry|
39,177 individuals
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Reported Trait: Monocyte count — — Pearson correlation coefficent (r): 0.47594 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) —
PPM000238 PGS000103
(mono_p)
 PSS000168|
European Ancestry|
80,627 individuals
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Reported Trait: Monocyte percentage of white cells — — Pearson correlation coefficent (r): 0.46271 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000239 PGS000103
(mono_p)
 PSS000142|
European Ancestry|
39,189 individuals
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Reported Trait: Monocyte percentage of white cells — — Pearson correlation coefficent (r): 0.45879 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) —
PPM000554 PGS000177
(mono)
 PSS000290|
European Ancestry|
2,314 individuals
 PGP000078 |
Vuckovic D et al. Cell (2020)
 Reported Trait: Monocyte count — — R²: 0.09474 sex, age, 10 genetic PCs —
PPM000533 PGS000177
(mono)
 PSS000291|
European Ancestry|
39,260 individuals
 PGP000078 |
Vuckovic D et al. Cell (2020)
 Reported Trait: Monocyte count — — R²: 0.15859 sex, age, 10 genetic PCs —
PPM000534 PGS000178
(mono_p)
 PSS000291|
European Ancestry|
39,260 individuals
 PGP000078 |
Vuckovic D et al. Cell (2020)
 Reported Trait: Monocyte percentage of white cells — — R²: 0.14461 sex, age, 10 genetic PCs —
PPM008148 PGS001078
(GBE_INI30190)
 PSS006996|
African Ancestry|
6,120 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Monocyte % — — R²: 0.03107 [0.02277, 0.03938]
Incremental R2 (full-covars): 0.01068
PGS R2 (no covariates): 0.01162 [0.00644, 0.0168]		 age, sex, UKB array type, Genotype PCs —
PPM008149 PGS001078
(GBE_INI30190)
 PSS006997|
East Asian Ancestry|
1,654 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Monocyte % — — R²: 0.10068 [0.07364, 0.12772]
Incremental R2 (full-covars): 0.04628
PGS R2 (no covariates): 0.04808 [0.0283, 0.06786]		 age, sex, UKB array type, Genotype PCs —
PPM008150 PGS001078
(GBE_INI30190)
 PSS006998|
European Ancestry|
24,130 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Monocyte % — — R²: 0.12442 [0.11675, 0.13209]
Incremental R2 (full-covars): 0.08036
PGS R2 (no covariates): 0.08169 [0.07518, 0.08821]		 age, sex, UKB array type, Genotype PCs —
PPM008151 PGS001078
(GBE_INI30190)
 PSS006999|
South Asian Ancestry|
7,491 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Monocyte % — — R²: 0.12434 [0.11066, 0.13801]
Incremental R2 (full-covars): 0.05529
PGS R2 (no covariates): 0.05423 [0.04448, 0.06398]		 age, sex, UKB array type, Genotype PCs —
PPM008152 PGS001078
(GBE_INI30190)
 PSS007000|
European Ancestry|
65,520 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Monocyte % — — R²: 0.12757 [0.12287, 0.13228]
Incremental R2 (full-covars): 0.08527
PGS R2 (no covariates): 0.08574 [0.0817, 0.08978]		 age, sex, UKB array type, Genotype PCs —
PPM008537 PGS001163
(GBE_INI30130)
 PSS006971|
African Ancestry|
6,120 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Monocyte count — — R²: 0.02543 [0.01787, 0.03298]
Incremental R2 (full-covars): 0.01339
PGS R2 (no covariates): 0.01659 [0.01043, 0.02274]		 age, sex, UKB array type, Genotype PCs —
PPM008538 PGS001163
(GBE_INI30130)
 PSS006972|
East Asian Ancestry|
1,654 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Monocyte count — — R²: 0.10427 [0.07686, 0.13168]
Incremental R2 (full-covars): 0.03555
PGS R2 (no covariates): 0.04025 [0.022, 0.0585]		 age, sex, UKB array type, Genotype PCs —
PPM008539 PGS001163
(GBE_INI30130)
 PSS006973|
European Ancestry|
24,129 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Monocyte count — — R²: 0.12792 [0.12017, 0.13567]
Incremental R2 (full-covars): 0.0805
PGS R2 (no covariates): 0.08361 [0.07703, 0.09019]		 age, sex, UKB array type, Genotype PCs —
PPM008540 PGS001163
(GBE_INI30130)
 PSS006974|
South Asian Ancestry|
7,491 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Monocyte count — — R²: 0.09808 [0.08557, 0.11059]
Incremental R2 (full-covars): 0.05583
PGS R2 (no covariates): 0.05525 [0.04542, 0.06508]		 age, sex, UKB array type, Genotype PCs —
PPM008541 PGS001163
(GBE_INI30130)
 PSS006975|
European Ancestry|
65,520 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Monocyte count — — R²: 0.11973 [0.11513, 0.12432]
Incremental R2 (full-covars): 0.081
PGS R2 (no covariates): 0.08138 [0.07742, 0.08533]		 age, sex, UKB array type, Genotype PCs —
PPM010619 PGS001968
(portability-PLR_log_monocyte)
 PSS009457|
European Ancestry|
19,384 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte count — — Partial Correlation (partial-r): 0.4056 [0.3937, 0.4173] sex, age, birth date, deprivation index, 16 PCs —
PPM010620 PGS001968
(portability-PLR_log_monocyte)
 PSS009231|
European Ancestry|
3,993 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte count — — Partial Correlation (partial-r): 0.3829 [0.3561, 0.4091] sex, age, birth date, deprivation index, 16 PCs —
PPM010621 PGS001968
(portability-PLR_log_monocyte)
 PSS008785|
European Ancestry|
6,423 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte count — — Partial Correlation (partial-r): 0.3731 [0.3518, 0.394] sex, age, birth date, deprivation index, 16 PCs —
PPM010622 PGS001968
(portability-PLR_log_monocyte)
 PSS008559|
Greater Middle Eastern Ancestry|
1,151 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte count — — Partial Correlation (partial-r): 0.3791 [0.328, 0.4279] sex, age, birth date, deprivation index, 16 PCs —
PPM010623 PGS001968
(portability-PLR_log_monocyte)
 PSS008337|
South Asian Ancestry|
6,060 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte count — — Partial Correlation (partial-r): 0.3366 [0.314, 0.3588] sex, age, birth date, deprivation index, 16 PCs —
PPM010624 PGS001968
(portability-PLR_log_monocyte)
 PSS008114|
East Asian Ancestry|
1,760 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte count — — Partial Correlation (partial-r): 0.2771 [0.2332, 0.3199] sex, age, birth date, deprivation index, 16 PCs —
PPM010625 PGS001968
(portability-PLR_log_monocyte)
 PSS007901|
African Ancestry|
2,336 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte count — — Partial Correlation (partial-r): 0.2104 [0.1711, 0.249] sex, age, birth date, deprivation index, 16 PCs —
PPM010626 PGS001968
(portability-PLR_log_monocyte)
 PSS009005|
African Ancestry|
3,699 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte count — — Partial Correlation (partial-r): 0.1892 [0.1579, 0.2202] sex, age, birth date, deprivation index, 16 PCs —
PPM010803 PGS001991
(portability-PLR_monocyte_perc)
 PSS009474|
European Ancestry|
19,244 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte percentage — — Partial Correlation (partial-r): 0.4126 [0.4008, 0.4243] sex, age, birth date, deprivation index, 16 PCs —
PPM010804 PGS001991
(portability-PLR_monocyte_perc)
 PSS009248|
European Ancestry|
3,963 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte percentage — — Partial Correlation (partial-r): 0.4017 [0.3752, 0.4276] sex, age, birth date, deprivation index, 16 PCs —
PPM010805 PGS001991
(portability-PLR_monocyte_perc)
 PSS008802|
European Ancestry|
6,368 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte percentage — — Partial Correlation (partial-r): 0.4021 [0.3813, 0.4225] sex, age, birth date, deprivation index, 16 PCs —
PPM010806 PGS001991
(portability-PLR_monocyte_perc)
 PSS008576|
Greater Middle Eastern Ancestry|
1,144 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte percentage — — Partial Correlation (partial-r): 0.4032 [0.3531, 0.4511] sex, age, birth date, deprivation index, 16 PCs —
PPM010807 PGS001991
(portability-PLR_monocyte_perc)
 PSS008354|
South Asian Ancestry|
6,010 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte percentage — — Partial Correlation (partial-r): 0.3324 [0.3096, 0.3547] sex, age, birth date, deprivation index, 16 PCs —
PPM010808 PGS001991
(portability-PLR_monocyte_perc)
 PSS008131|
East Asian Ancestry|
1,744 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte percentage — — Partial Correlation (partial-r): 0.3106 [0.2673, 0.3526] sex, age, birth date, deprivation index, 16 PCs —
PPM010809 PGS001991
(portability-PLR_monocyte_perc)
 PSS007918|
African Ancestry|
2,298 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte percentage — — Partial Correlation (partial-r): 0.184 [0.1441, 0.2234] sex, age, birth date, deprivation index, 16 PCs —
PPM010810 PGS001991
(portability-PLR_monocyte_perc)
 PSS009022|
African Ancestry|
3,663 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte percentage — — Partial Correlation (partial-r): 0.1696 [0.1379, 0.201] sex, age, birth date, deprivation index, 16 PCs —
PPM012335 PGS002186
(portability-ldpred2_log_monocyte)
 PSS009457|
European Ancestry|
19,384 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte count — — Partial Correlation (partial-r): 0.4013 [0.3894, 0.4131] sex, age, birth date, deprivation index, 16 PCs —
PPM012336 PGS002186
(portability-ldpred2_log_monocyte)
 PSS009231|
European Ancestry|
3,993 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte count — — Partial Correlation (partial-r): 0.3828 [0.356, 0.4091] sex, age, birth date, deprivation index, 16 PCs —
PPM012338 PGS002186
(portability-ldpred2_log_monocyte)
 PSS008559|
Greater Middle Eastern Ancestry|
1,151 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte count — — Partial Correlation (partial-r): 0.3913 [0.3408, 0.4395] sex, age, birth date, deprivation index, 16 PCs —
PPM012339 PGS002186
(portability-ldpred2_log_monocyte)
 PSS008337|
South Asian Ancestry|
6,060 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte count — — Partial Correlation (partial-r): 0.326 [0.3033, 0.3484] sex, age, birth date, deprivation index, 16 PCs —
PPM012340 PGS002186
(portability-ldpred2_log_monocyte)
 PSS008114|
East Asian Ancestry|
1,760 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte count — — Partial Correlation (partial-r): 0.2727 [0.2287, 0.3157] sex, age, birth date, deprivation index, 16 PCs —
PPM012341 PGS002186
(portability-ldpred2_log_monocyte)
 PSS007901|
African Ancestry|
2,336 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte count — — Partial Correlation (partial-r): 0.2009 [0.1615, 0.2396] sex, age, birth date, deprivation index, 16 PCs —
PPM012342 PGS002186
(portability-ldpred2_log_monocyte)
 PSS009005|
African Ancestry|
3,699 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte count — — Partial Correlation (partial-r): 0.1818 [0.1503, 0.2128] sex, age, birth date, deprivation index, 16 PCs —
PPM012337 PGS002186
(portability-ldpred2_log_monocyte)
 PSS008785|
European Ancestry|
6,423 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte count — — Partial Correlation (partial-r): 0.3692 [0.3478, 0.3901] sex, age, birth date, deprivation index, 16 PCs —
PPM012511 PGS002208
(portability-ldpred2_monocyte_perc)
 PSS009474|
European Ancestry|
19,244 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte percentage — — Partial Correlation (partial-r): 0.4079 [0.396, 0.4196] sex, age, birth date, deprivation index, 16 PCs —
PPM012512 PGS002208
(portability-ldpred2_monocyte_perc)
 PSS009248|
European Ancestry|
3,963 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte percentage — — Partial Correlation (partial-r): 0.3935 [0.3668, 0.4196] sex, age, birth date, deprivation index, 16 PCs —
PPM012513 PGS002208
(portability-ldpred2_monocyte_perc)
 PSS008802|
European Ancestry|
6,368 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte percentage — — Partial Correlation (partial-r): 0.3978 [0.3769, 0.4183] sex, age, birth date, deprivation index, 16 PCs —
PPM012514 PGS002208
(portability-ldpred2_monocyte_perc)
 PSS008576|
Greater Middle Eastern Ancestry|
1,144 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte percentage — — Partial Correlation (partial-r): 0.4047 [0.3546, 0.4524] sex, age, birth date, deprivation index, 16 PCs —
PPM012516 PGS002208
(portability-ldpred2_monocyte_perc)
 PSS008131|
East Asian Ancestry|
1,744 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte percentage — — Partial Correlation (partial-r): 0.3023 [0.2587, 0.3445] sex, age, birth date, deprivation index, 16 PCs —
PPM012517 PGS002208
(portability-ldpred2_monocyte_perc)
 PSS007918|
African Ancestry|
2,298 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte percentage — — Partial Correlation (partial-r): 0.1887 [0.1488, 0.228] sex, age, birth date, deprivation index, 16 PCs —
PPM012518 PGS002208
(portability-ldpred2_monocyte_perc)
 PSS009022|
African Ancestry|
3,663 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte percentage — — Partial Correlation (partial-r): 0.1635 [0.1317, 0.1949] sex, age, birth date, deprivation index, 16 PCs —
PPM012515 PGS002208
(portability-ldpred2_monocyte_perc)
 PSS008354|
South Asian Ancestry|
6,010 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Monocyte percentage — — Partial Correlation (partial-r): 0.3313 [0.3085, 0.3536] sex, age, birth date, deprivation index, 16 PCs —
PPM013106 PGS002341
(blood_MONOCYTE_COUNT.BOLT-LMM)
 PSS009807|
African Ancestry|
6,119 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0391 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013155 PGS002341
(blood_MONOCYTE_COUNT.BOLT-LMM)
 PSS009808|
East Asian Ancestry|
894 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0668 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013204 PGS002341
(blood_MONOCYTE_COUNT.BOLT-LMM)
 PSS009809|
European Ancestry|
41,863 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.1716 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013253 PGS002341
(blood_MONOCYTE_COUNT.BOLT-LMM)
 PSS009810|
South Asian Ancestry|
7,718 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.1221 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013284 PGS002372
(blood_MONOCYTE_COUNT.BOLT-LMM-BBJ)
 PSS009807|
African Ancestry|
6,119 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0059 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013307 PGS002372
(blood_MONOCYTE_COUNT.BOLT-LMM-BBJ)
 PSS009808|
East Asian Ancestry|
894 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0379 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013330 PGS002372
(blood_MONOCYTE_COUNT.BOLT-LMM-BBJ)
 PSS009809|
European Ancestry|
41,863 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0073 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013353 PGS002372
(blood_MONOCYTE_COUNT.BOLT-LMM-BBJ)
 PSS009810|
South Asian Ancestry|
7,718 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0068 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013394 PGS002413
(blood_MONOCYTE_COUNT.P+T.0.0001)
 PSS009807|
African Ancestry|
6,119 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0017 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013443 PGS002413
(blood_MONOCYTE_COUNT.P+T.0.0001)
 PSS009808|
East Asian Ancestry|
894 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.072 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013492 PGS002413
(blood_MONOCYTE_COUNT.P+T.0.0001)
 PSS009809|
European Ancestry|
41,863 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.1167 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013541 PGS002413
(blood_MONOCYTE_COUNT.P+T.0.0001)
 PSS009810|
South Asian Ancestry|
7,718 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0813 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013590 PGS002462
(blood_MONOCYTE_COUNT.P+T.0.001)
 PSS009807|
African Ancestry|
6,119 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0011 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013639 PGS002462
(blood_MONOCYTE_COUNT.P+T.0.001)
 PSS009808|
East Asian Ancestry|
894 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0556 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013688 PGS002462
(blood_MONOCYTE_COUNT.P+T.0.001)
 PSS009809|
European Ancestry|
41,863 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.1119 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013737 PGS002462
(blood_MONOCYTE_COUNT.P+T.0.001)
 PSS009810|
South Asian Ancestry|
7,718 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.072 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013835 PGS002511
(blood_MONOCYTE_COUNT.P+T.0.01)
 PSS009808|
East Asian Ancestry|
894 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0163 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013884 PGS002511
(blood_MONOCYTE_COUNT.P+T.0.01)
 PSS009809|
European Ancestry|
41,863 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0568 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013786 PGS002511
(blood_MONOCYTE_COUNT.P+T.0.01)
 PSS009807|
African Ancestry|
6,119 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0012 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013933 PGS002511
(blood_MONOCYTE_COUNT.P+T.0.01)
 PSS009810|
South Asian Ancestry|
7,718 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0235 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013982 PGS002560
(blood_MONOCYTE_COUNT.P+T.1e-06)
 PSS009807|
African Ancestry|
6,119 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0238 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014031 PGS002560
(blood_MONOCYTE_COUNT.P+T.1e-06)
 PSS009808|
East Asian Ancestry|
894 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0645 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014080 PGS002560
(blood_MONOCYTE_COUNT.P+T.1e-06)
 PSS009809|
European Ancestry|
41,863 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.1053 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014129 PGS002560
(blood_MONOCYTE_COUNT.P+T.1e-06)
 PSS009810|
South Asian Ancestry|
7,718 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.077 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014178 PGS002609
(blood_MONOCYTE_COUNT.P+T.5e-08)
 PSS009807|
African Ancestry|
6,119 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0222 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014227 PGS002609
(blood_MONOCYTE_COUNT.P+T.5e-08)
 PSS009808|
East Asian Ancestry|
894 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0591 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014276 PGS002609
(blood_MONOCYTE_COUNT.P+T.5e-08)
 PSS009809|
European Ancestry|
41,863 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0991 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014325 PGS002609
(blood_MONOCYTE_COUNT.P+T.5e-08)
 PSS009810|
South Asian Ancestry|
7,718 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0716 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014521 PGS002658
(blood_MONOCYTE_COUNT.PolyFun-pred)
 PSS009810|
South Asian Ancestry|
7,718 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1406 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_MONOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014374 PGS002658
(blood_MONOCYTE_COUNT.PolyFun-pred)
 PSS009807|
African Ancestry|
6,119 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0526 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_MONOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014423 PGS002658
(blood_MONOCYTE_COUNT.PolyFun-pred)
 PSS009808|
East Asian Ancestry|
894 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0939 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_MONOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014472 PGS002658
(blood_MONOCYTE_COUNT.PolyFun-pred)
 PSS009809|
European Ancestry|
41,863 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1972 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_MONOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014570 PGS002707
(blood_MONOCYTE_COUNT.SBayesR)
 PSS009807|
African Ancestry|
6,119 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0361 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014619 PGS002707
(blood_MONOCYTE_COUNT.SBayesR)
 PSS009808|
East Asian Ancestry|
894 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.0896 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014717 PGS002707
(blood_MONOCYTE_COUNT.SBayesR)
 PSS009810|
South Asian Ancestry|
7,718 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.1212 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014668 PGS002707
(blood_MONOCYTE_COUNT.SBayesR)
 PSS009809|
European Ancestry|
41,863 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Monocyte Count — — Incremental R2 (full model vs. covariates alone): 0.1669 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM017472 PGS003544
(cont-decay-log_monocyte)
 PSS010909|
European Ancestry|
19,376 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Monocyte count — — partial-R2: 0.15 sex, age, deprivation index, PC1-16 —
PPM017640 PGS003544
(cont-decay-log_monocyte)
 PSS010657|
European Ancestry|
6,264 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Monocyte count — — partial-R2: 0.13 sex, age, deprivation index, PC1-16 —
PPM017724 PGS003544
(cont-decay-log_monocyte)
 PSS010573|
Greater Middle Eastern Ancestry|
1,121 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Monocyte count — — partial-R2: 0.14 sex, age, deprivation index, PC1-16 —
PPM017808 PGS003544
(cont-decay-log_monocyte)
 PSS010237|
European Ancestry|
2,256 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Monocyte count — — partial-R2: 0.14 sex, age, deprivation index, PC1-16 —
PPM017892 PGS003544
(cont-decay-log_monocyte)
 PSS010489|
South Asian Ancestry|
6,008 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Monocyte count — — partial-R2: 0.1 sex, age, deprivation index, PC1-16 —
PPM017976 PGS003544
(cont-decay-log_monocyte)
 PSS010405|
East Asian Ancestry|
1,748 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Monocyte count — — partial-R2: 0.07 sex, age, deprivation index, PC1-16 —
PPM018060 PGS003544
(cont-decay-log_monocyte)
 PSS010321|
African Ancestry|
2,323 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Monocyte count — — partial-R2: 0.04 sex, age, deprivation index, PC1-16 —
PPM018144 PGS003544
(cont-decay-log_monocyte)
 PSS010741|
African Ancestry|
3,670 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Monocyte count — — partial-R2: 0.03 sex, age, deprivation index, PC1-16 —
PPM017556 PGS003544
(cont-decay-log_monocyte)
 PSS010825|
European Ancestry|
3,982 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Monocyte count — — partial-R2: 0.14 sex, age, deprivation index, PC1-16 —
PPM017574 PGS003562
(cont-decay-monocyte_perc)
 PSS010845|
European Ancestry|
3,952 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Monocyte percentage — — partial-R2: 0.16 sex, age, deprivation index, PC1-16 —
PPM017658 PGS003562
(cont-decay-monocyte_perc)
 PSS010677|
European Ancestry|
6,213 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Monocyte percentage — — partial-R2: 0.16 sex, age, deprivation index, PC1-16 —
PPM017826 PGS003562
(cont-decay-monocyte_perc)
 PSS010257|
European Ancestry|
2,241 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Monocyte percentage — — partial-R2: 0.15 sex, age, deprivation index, PC1-16 —
PPM017910 PGS003562
(cont-decay-monocyte_perc)
 PSS010509|
South Asian Ancestry|
5,958 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Monocyte percentage — — partial-R2: 0.1 sex, age, deprivation index, PC1-16 —
PPM017994 PGS003562
(cont-decay-monocyte_perc)
 PSS010425|
East Asian Ancestry|
1,732 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Monocyte percentage — — partial-R2: 0.09 sex, age, deprivation index, PC1-16 —
PPM018078 PGS003562
(cont-decay-monocyte_perc)
 PSS010341|
African Ancestry|
2,285 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Monocyte percentage — — partial-R2: 0.04 sex, age, deprivation index, PC1-16 —
PPM018162 PGS003562
(cont-decay-monocyte_perc)
 PSS010761|
African Ancestry|
3,634 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Monocyte percentage — — partial-R2: 0.03 sex, age, deprivation index, PC1-16 —
PPM017490 PGS003562
(cont-decay-monocyte_perc)
 PSS010929|
European Ancestry|
19,237 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Monocyte percentage — — partial-R2: 0.16 sex, age, deprivation index, PC1-16 —
PPM017742 PGS003562
(cont-decay-monocyte_perc)
 PSS010593|
Greater Middle Eastern Ancestry|
1,114 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Monocyte percentage — — partial-R2: 0.16 sex, age, deprivation index, PC1-16 —
PPM019004 PGS003937
(INI30130)
 PSS011139|
European Ancestry|
65,814 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Monocyte count — — R²: 0.12426 [0.11961, 0.12891]
PGS R2 (no covariates): 0.08189 [0.07793, 0.08585]
Incremental R2 (full-covars): 0.08198		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM019005 PGS003937
(INI30130)
 PSS011110|
European Ancestry|
2,810 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Monocyte count — — R²: 0.14509 [0.12139, 0.16879]
PGS R2 (no covariates): 0.0898 [0.06995, 0.10965]
Incremental R2 (full-covars): 0.08851		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM019006 PGS003937
(INI30130)
 PSS011112|
South Asian Ancestry|
1,428 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Monocyte count — — R²: 0.11251 [0.08232, 0.1427]
PGS R2 (no covariates): 0.07028 [0.04528, 0.09527]
Incremental R2 (full-covars): 0.06806		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM019007 PGS003937
(INI30130)
 PSS011154|
African Ancestry|
1,154 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Monocyte count — — R²: 0.0334 [0.01357, 0.05322]
PGS R2 (no covariates): 0.03342 [0.01359, 0.05325]
Incremental R2 (full-covars): 0.02807		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM019008 PGS003937
(INI30130)
 PSS011168|
Multi-ancestry (excluding European)|
7,732 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Monocyte count — — R²: 0.11068 [0.09772, 0.12363]
PGS R2 (no covariates): 0.07932 [0.06797, 0.09067]
Incremental R2 (full-covars): 0.06798		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM019029 PGS003942
(INI30190)
 PSS011139|
European Ancestry|
65,814 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Monocyte percentage — — R²: 0.1281 [0.1234, 0.1328]
PGS R2 (no covariates): 0.08549 [0.08146, 0.08952]
Incremental R2 (full-covars): 0.0852		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM019030 PGS003942
(INI30190)
 PSS011110|
European Ancestry|
2,810 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Monocyte percentage — — R²: 0.1222 [0.09987, 0.14453]
PGS R2 (no covariates): 0.08548 [0.06603, 0.10494]
Incremental R2 (full-covars): 0.08222		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM019031 PGS003942
(INI30190)
 PSS011112|
South Asian Ancestry|
1,428 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Monocyte percentage — — R²: 0.15234 [0.11879, 0.18589]
PGS R2 (no covariates): 0.07059 [0.04555, 0.09563]
Incremental R2 (full-covars): 0.06921		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM019032 PGS003942
(INI30190)
 PSS011154|
African Ancestry|
1,154 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Monocyte percentage — — R²: 0.03382 [0.01388, 0.05376]
PGS R2 (no covariates): 0.01755 [0.00294, 0.03215]
Incremental R2 (full-covars): 0.01822		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM019033 PGS003942
(INI30190)
 PSS011168|
Multi-ancestry (excluding European)|
7,732 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Monocyte percentage — — R²: 0.08833 [0.07647, 0.1002]
PGS R2 (no covariates): 0.0562 [0.0464, 0.06599]
Incremental R2 (full-covars): 0.04903		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM020472 PGS004357
(X30130.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: Monocyte count — — PGS R2 (no covariates): 0.26078 — —
PPM020475 PGS004360
(X30190.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: Monocyte percentage — — PGS R2 (no covariates): 0.24644 — —
PPM021026 PGS004801
(Monocytes_PRSmix_eur)
 PSS011501|
European Ancestry|
3,587 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Monocyte count — — Incremental R2 (Full model versus model with only covariates): 0.109 [0.09, 0.129] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021027 PGS004802
(Monocytes_PRSmix_sas)
 PSS011467|
South Asian Ancestry|
7,098 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Monocyte count — — Incremental R2 (Full model versus model with only covariates): 0.13 [0.115, 0.144] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021028 PGS004803
(Monocytes_PRSmixPlus_eur)
 PSS011501|
European Ancestry|
3,587 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Monocyte count — — Incremental R2 (Full model versus model with only covariates): 0.117 [0.097, 0.137] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021029 PGS004804
(Monocytes_PRSmixPlus_sas)
 PSS011467|
South Asian Ancestry|
7,098 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Monocyte count — — Incremental R2 (Full model versus model with only covariates): 0.138 [0.123, 0.153] 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
PSS006972 — — 1,654 individuals — East Asian — UKB —
PSS006973 — — 24,129 individuals — European non-white British ancestry UKB —
PSS006974 — — 7,491 individuals — South Asian — UKB —
PSS006975 — — 65,520 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS010657 — — 6,264 individuals,
45.0 % Male samples
 Mean = 54.5 years
Sd = 8.4 years		 European Italian UKB —
PSS010405 — — 1,748 individuals,
33.0 % Male samples
 Mean = 52.5 years
Sd = 7.8 years		 East Asian Chinese UKB —
PSS008785 — — 6,423 individuals — European Italy (South Europe) UKB —
PSS011154 — — 1,154 individuals — African unspecified — UKB —
PSS010909 — — 19,376 individuals,
46.0 % Male samples
 Mean = 56.9 years
Sd = 7.9 years		 European white British UKB —
PSS010929 — — 19,237 individuals,
46.0 % Male samples
 Mean = 56.9 years
Sd = 7.9 years		 European white British UKB —
PSS010677 — — 6,213 individuals,
45.0 % Male samples
 Mean = 54.5 years
Sd = 8.4 years		 European Italian UKB —
PSS006996 — — 6,120 individuals — African unspecified — UKB —
PSS006997 — — 1,654 individuals — East Asian — UKB —
PSS006998 — — 24,130 individuals — European non-white British ancestry UKB —
PSS006999 — — 7,491 individuals — South Asian — UKB —
PSS007000 — — 65,520 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS007901 — — 2,336 individuals — African American or Afro-Caribbean Carribean UKB —
PSS008802 — — 6,368 individuals — European Italy (South Europe) UKB —
PSS008131 — — 1,744 individuals — East Asian China (East Asia) UKB —
PSS010425 — — 1,732 individuals,
34.0 % Male samples
 Mean = 52.5 years
Sd = 7.8 years		 East Asian Chinese UKB —
PSS011168 — — 7,732 individuals — East Asian, Other admixed ancestry East Asian, Other admixed ancestry UKB —
PSS011139 — — 65,814 individuals — European
(white British ancestry)		 — UKB —
PSS000290 — — 2,314 individuals — European
(French Canadian)		 — CARTaGENE —
PSS000291 — — 39,260 individuals — European — INTERVAL —
PSS007918 — — 2,298 individuals — African American or Afro-Caribbean Carribean UKB —
PSS008559 — — 1,151 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS010825 — — 3,982 individuals,
38.0 % Male samples
 Mean = 54.3 years
Sd = 7.5 years		 European Polish UKB —
PSS009457 — — 19,384 individuals — European UK (+ Ireland) UKB —
PSS010573 — — 1,121 individuals,
60.0 % Male samples
 Mean = 52.0 years
Sd = 8.0 years		 Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB —
PSS010321 — — 2,323 individuals,
36.0 % Male samples
 Mean = 52.4 years
Sd = 8.0 years		 African American or Afro-Caribbean Caribbean UKB —
PSS011501 — — 3,587 individuals — European — AllofUs —
PSS008576 — — 1,144 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS011467 — — 7,098 individuals — South Asian — G&H —
PSS009474 — — 19,244 individuals — European UK (+ Ireland) UKB —
PSS010845 — — 3,952 individuals,
38.0 % Male samples
 Mean = 54.3 years
Sd = 7.5 years		 European Polish UKB —
PSS009807 — — 6,119 individuals — African unspecified — UKB —
PSS009808 — — 894 individuals — East Asian — UKB —
PSS009809 — — 41,863 individuals — European Non-British European UKB —
PSS009810 — — 7,718 individuals — South Asian — UKB —
PSS010341 — — 2,285 individuals,
37.0 % Male samples
 Mean = 52.4 years
Sd = 8.0 years		 African American or Afro-Caribbean Caribbean UKB —
PSS010593 — — 1,114 individuals,
60.0 % Male samples
 Mean = 52.0 years
Sd = 8.0 years		 Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB —
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 —
PSS009231 — — 3,993 individuals — European Poland (NE Europe) UKB —
PSS008337 — — 6,060 individuals — South Asian India (South Asia) UKB —
PSS010741 — — 3,670 individuals,
47.0 % Male samples
 Mean = 51.9 years
Sd = 8.1 years		 African unspecified Nigerian UKB —
PSS010489 — — 6,008 individuals,
55.0 % Male samples
 Mean = 53.3 years
Sd = 8.4 years		 South Asian Indian UKB —
PSS009248 — — 3,963 individuals — European Poland (NE Europe) UKB —
PSS011364 — — 56,192 individuals — European — UKB —
PSS008354 — — 6,010 individuals — South Asian India (South Asia) UKB —
PSS010237 — — 2,256 individuals,
45.0 % Male samples
 Mean = 58.0 years
Sd = 7.1 years		 European Ashkenazi UKB —
PSS011110 — — 2,810 individuals — European
(non-white British ancestry)		 — 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 —
PSS011112 — — 1,428 individuals — South Asian — UKB —
PSS009005 — — 3,699 individuals — African unspecified Nigeria (West Africa) UKB —
PSS010761 — — 3,634 individuals,
47.0 % Male samples
 Mean = 51.9 years
Sd = 8.1 years		 African unspecified Nigerian UKB —
PSS008114 — — 1,760 individuals — East Asian China (East Asia) UKB —
PSS010509 — — 5,958 individuals,
55.0 % Male samples
 Mean = 53.3 years
Sd = 8.4 years		 South Asian Indian UKB —
PSS010257 — — 2,241 individuals,
45.0 % Male samples
 Mean = 58.0 years
Sd = 7.1 years		 European Ashkenazi UKB —
PSS009022 — — 3,663 individuals — African unspecified Nigeria (West Africa) UKB —
PSS006971 — — 6,120 individuals — African unspecified — UKB —