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 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 % 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

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 : 0.09474 sex, age, 10 genetic PCs
PPM000533 PGS000177
(mono)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Monocyte count : 0.15859 sex, age, 10 genetic PCs
PPM000534 PGS000178
(mono_p)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Monocyte percentage of white cells : 0.14461 sex, age, 10 genetic PCs
PPM008148 PGS001078
(GBE_INI30190)
PSS006996|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte % : 0.03107 [0.02277, 0.03938]
Incremental R2 (full-covars): 0.01068
PGS R2 (no covariates): 0.01162 [0.00644, 0.0168]
age, sex, UKB array type, Genotype PCs
PPM008149 PGS001078
(GBE_INI30190)
PSS006997|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte % : 0.10068 [0.07364, 0.12772]
Incremental R2 (full-covars): 0.04628
PGS R2 (no covariates): 0.04808 [0.0283, 0.06786]
age, sex, UKB array type, Genotype PCs
PPM008150 PGS001078
(GBE_INI30190)
PSS006998|
European Ancestry|
24,130 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte % : 0.12442 [0.11675, 0.13209]
Incremental R2 (full-covars): 0.08036
PGS R2 (no covariates): 0.08169 [0.07518, 0.08821]
age, sex, UKB array type, Genotype PCs
PPM008151 PGS001078
(GBE_INI30190)
PSS006999|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte % : 0.12434 [0.11066, 0.13801]
Incremental R2 (full-covars): 0.05529
PGS R2 (no covariates): 0.05423 [0.04448, 0.06398]
age, sex, UKB array type, Genotype PCs
PPM008152 PGS001078
(GBE_INI30190)
PSS007000|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte % : 0.12757 [0.12287, 0.13228]
Incremental R2 (full-covars): 0.08527
PGS R2 (no covariates): 0.08574 [0.0817, 0.08978]
age, sex, UKB array type, Genotype PCs
PPM008537 PGS001163
(GBE_INI30130)
PSS006971|
African Ancestry|
6,120 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte count : 0.02543 [0.01787, 0.03298]
Incremental R2 (full-covars): 0.01339
PGS R2 (no covariates): 0.01659 [0.01043, 0.02274]
age, sex, UKB array type, Genotype PCs
PPM008538 PGS001163
(GBE_INI30130)
PSS006972|
East Asian Ancestry|
1,654 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte count : 0.10427 [0.07686, 0.13168]
Incremental R2 (full-covars): 0.03555
PGS R2 (no covariates): 0.04025 [0.022, 0.0585]
age, sex, UKB array type, Genotype PCs
PPM008539 PGS001163
(GBE_INI30130)
PSS006973|
European Ancestry|
24,129 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte count : 0.12792 [0.12017, 0.13567]
Incremental R2 (full-covars): 0.0805
PGS R2 (no covariates): 0.08361 [0.07703, 0.09019]
age, sex, UKB array type, Genotype PCs
PPM008540 PGS001163
(GBE_INI30130)
PSS006974|
South Asian Ancestry|
7,491 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte count : 0.09808 [0.08557, 0.11059]
Incremental R2 (full-covars): 0.05583
PGS R2 (no covariates): 0.05525 [0.04542, 0.06508]
age, sex, UKB array type, Genotype PCs
PPM008541 PGS001163
(GBE_INI30130)
PSS006975|
European Ancestry|
65,520 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Monocyte count : 0.11973 [0.11513, 0.12432]
Incremental R2 (full-covars): 0.081
PGS R2 (no covariates): 0.08138 [0.07742, 0.08533]
age, sex, UKB array type, Genotype PCs
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

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)
PSS008785 6,423 individuals European Italy (South Europe) 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
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
PSS009457 19,384 individuals European UK (+ Ireland) UKB
PSS008576 1,144 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS009474 19,244 individuals European UK (+ Ireland) 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
PSS009248 3,963 individuals European Poland (NE Europe) UKB
PSS008354 6,010 individuals South Asian India (South Asia) 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
PSS009005 3,699 individuals African unspecified Nigeria (West Africa) UKB
PSS008114 1,760 individuals East Asian China (East Asia) UKB
PSS009022 3,663 individuals African unspecified Nigeria (West Africa) UKB
PSS006971 6,120 individuals African unspecified UKB