Trait: platelet crit

Experimental Factor Ontology (EFO) Information
Identifier EFO_0007985
Description The proportion of blood volume that is occupied by platelets, expressed as a percentage.
Trait category
Hematological measurement
Synonyms 4 synonyms
  • PCT
  • platelet crit (PCT)
  • plateletcrit
  • plateletcrit (PCT)
Mapped term CMO:0001349

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)
PGS000107
(pct)
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Platelet crit platelet crit 30,459
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000107/ScoringFiles/PGS000107.txt.gz
PGS000184
(pct)
 PGP000078 |
Vuckovic D et al. Cell (2020)
 Platelet crit platelet crit 700
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000184/ScoringFiles/PGS000184.txt.gz
PGS001517
(GBE_INI30090)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Platelet crit platelet crit 20,910
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001517/ScoringFiles/PGS001517.txt.gz
PGS001970
(portability-PLR_log_platelet_crit)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Platelet crit platelet crit 56,402
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001970/ScoringFiles/PGS001970.txt.gz
PGS002188
(portability-ldpred2_log_platelet_crit)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Platelet crit platelet crit 703,576
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002188/ScoringFiles/PGS002188.txt.gz
PGS003547
(cont-decay-log_platelet_crit)
 PGP000457 |
Ding Y et al. Nature (2023)
 Platelet crit platelet crit 979,739
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003547/ScoringFiles/PGS003547.txt.gz
PGS003933
(INI30090)
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Platelet crit platelet crit 27,034
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003933/ScoringFiles/PGS003933.txt.gz
PGS004353
(X30090.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Platelet crit platelet crit 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004353/ScoringFiles/PGS004353.txt.gz
PGS005173
(VPGS_PCT)
 PGP000723 |
Xiang R et al. Nat Commun (2025)
 Plateletcrit variance platelet crit 9,451,377
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005173/ScoringFiles/PGS005173.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
PPM000246 PGS000107
(pct)
 PSS000172|
European Ancestry|
78,161 individuals
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Reported Trait: Plateletcrit — — Pearson correlation coefficent (r): 0.49284 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000247 PGS000107
(pct)
 PSS000146|
European Ancestry|
37,306 individuals
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Reported Trait: Plateletcrit — — Pearson correlation coefficent (r): 0.48865 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) —
PPM000538 PGS000184
(pct)
 PSS000291|
European Ancestry|
39,260 individuals
 PGP000078 |
Vuckovic D et al. Cell (2020)
 Reported Trait: Plateletcrit — — R²: 0.1555 sex, age, 10 genetic PCs —
PPM007040 PGS001517
(GBE_INI30090)
 PSS006951|
African Ancestry|
6,139 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Platelet crit — — R²: 0.1382 [0.12263, 0.15377]
Incremental R2 (full-covars): 0.02064
PGS R2 (no covariates): 0.0286 [0.02062, 0.03659]		 age, sex, UKB array type, Genotype PCs —
PPM007041 PGS001517
(GBE_INI30090)
 PSS006952|
East Asian Ancestry|
1,655 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Platelet crit — — R²: 0.15738 [0.1257, 0.18906]
Incremental R2 (full-covars): 0.08366
PGS R2 (no covariates): 0.07725 [0.05295, 0.10155]		 age, sex, UKB array type, Genotype PCs —
PPM007042 PGS001517
(GBE_INI30090)
 PSS006953|
European Ancestry|
24,171 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Platelet crit — — R²: 0.23874 [0.2295, 0.24797]
Incremental R2 (full-covars): 0.16467
PGS R2 (no covariates): 0.16697 [0.15852, 0.17543]		 age, sex, UKB array type, Genotype PCs —
PPM007043 PGS001517
(GBE_INI30090)
 PSS006954|
South Asian Ancestry|
7,519 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Platelet crit — — R²: 0.23898 [0.2225, 0.25545]
Incremental R2 (full-covars): 0.10472
PGS R2 (no covariates): 0.10873 [0.09572, 0.12174]		 age, sex, UKB array type, Genotype PCs —
PPM007044 PGS001517
(GBE_INI30090)
 PSS006955|
European Ancestry|
65,601 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Platelet crit — — R²: 0.24748 [0.24183, 0.25313]
Incremental R2 (full-covars): 0.16016
PGS R2 (no covariates): 0.16141 [0.15632, 0.16649]		 age, sex, UKB array type, Genotype PCs —
PPM010635 PGS001970
(portability-PLR_log_platelet_crit)
 PSS009460|
European Ancestry|
19,422 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet crit — — Partial Correlation (partial-r): 0.4299 [0.4184, 0.4413] sex, age, birth date, deprivation index, 16 PCs —
PPM010636 PGS001970
(portability-PLR_log_platelet_crit)
 PSS009234|
European Ancestry|
4,002 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet crit — — Partial Correlation (partial-r): 0.4361 [0.4106, 0.4609] sex, age, birth date, deprivation index, 16 PCs —
PPM010637 PGS001970
(portability-PLR_log_platelet_crit)
 PSS008788|
European Ancestry|
6,436 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet crit — — Partial Correlation (partial-r): 0.4086 [0.388, 0.4288] sex, age, birth date, deprivation index, 16 PCs —
PPM010639 PGS001970
(portability-PLR_log_platelet_crit)
 PSS008340|
South Asian Ancestry|
6,076 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet crit — — Partial Correlation (partial-r): 0.3614 [0.3393, 0.3831] sex, age, birth date, deprivation index, 16 PCs —
PPM010640 PGS001970
(portability-PLR_log_platelet_crit)
 PSS008117|
East Asian Ancestry|
1,762 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet crit — — Partial Correlation (partial-r): 0.3104 [0.2674, 0.3523] sex, age, birth date, deprivation index, 16 PCs —
PPM010641 PGS001970
(portability-PLR_log_platelet_crit)
 PSS007904|
African Ancestry|
2,343 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet crit — — Partial Correlation (partial-r): 0.1795 [0.1398, 0.2185] sex, age, birth date, deprivation index, 16 PCs —
PPM010642 PGS001970
(portability-PLR_log_platelet_crit)
 PSS009008|
African Ancestry|
3,711 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet crit — — Partial Correlation (partial-r): 0.1907 [0.1594, 0.2216] sex, age, birth date, deprivation index, 16 PCs —
PPM010638 PGS001970
(portability-PLR_log_platelet_crit)
 PSS008562|
Greater Middle Eastern Ancestry|
1,153 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet crit — — Partial Correlation (partial-r): 0.3976 [0.3474, 0.4455] sex, age, birth date, deprivation index, 16 PCs —
PPM012351 PGS002188
(portability-ldpred2_log_platelet_crit)
 PSS009460|
European Ancestry|
19,422 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet crit — — Partial Correlation (partial-r): 0.4219 [0.4103, 0.4334] sex, age, birth date, deprivation index, 16 PCs —
PPM012352 PGS002188
(portability-ldpred2_log_platelet_crit)
 PSS009234|
European Ancestry|
4,002 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet crit — — Partial Correlation (partial-r): 0.4319 [0.4063, 0.4568] sex, age, birth date, deprivation index, 16 PCs —
PPM012353 PGS002188
(portability-ldpred2_log_platelet_crit)
 PSS008788|
European Ancestry|
6,436 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet crit — — Partial Correlation (partial-r): 0.4045 [0.3839, 0.4248] sex, age, birth date, deprivation index, 16 PCs —
PPM012355 PGS002188
(portability-ldpred2_log_platelet_crit)
 PSS008340|
South Asian Ancestry|
6,076 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet crit — — Partial Correlation (partial-r): 0.357 [0.3348, 0.3788] sex, age, birth date, deprivation index, 16 PCs —
PPM012356 PGS002188
(portability-ldpred2_log_platelet_crit)
 PSS008117|
East Asian Ancestry|
1,762 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet crit — — Partial Correlation (partial-r): 0.3181 [0.2753, 0.3597] sex, age, birth date, deprivation index, 16 PCs —
PPM012357 PGS002188
(portability-ldpred2_log_platelet_crit)
 PSS007904|
African Ancestry|
2,343 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet crit — — Partial Correlation (partial-r): 0.2035 [0.1642, 0.2422] sex, age, birth date, deprivation index, 16 PCs —
PPM012358 PGS002188
(portability-ldpred2_log_platelet_crit)
 PSS009008|
African Ancestry|
3,711 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet crit — — Partial Correlation (partial-r): 0.1849 [0.1536, 0.2159] sex, age, birth date, deprivation index, 16 PCs —
PPM012354 PGS002188
(portability-ldpred2_log_platelet_crit)
 PSS008562|
Greater Middle Eastern Ancestry|
1,153 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet crit — — Partial Correlation (partial-r): 0.3907 [0.3402, 0.439] sex, age, birth date, deprivation index, 16 PCs —
PPM017475 PGS003547
(cont-decay-log_platelet_crit)
 PSS010912|
European Ancestry|
19,417 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Platelet crit — — partial-R2: 0.18 sex, age, deprivation index, PC1-16 —
PPM017559 PGS003547
(cont-decay-log_platelet_crit)
 PSS010828|
European Ancestry|
3,991 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Platelet crit — — partial-R2: 0.19 sex, age, deprivation index, PC1-16 —
PPM017643 PGS003547
(cont-decay-log_platelet_crit)
 PSS010660|
European Ancestry|
6,277 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Platelet crit — — partial-R2: 0.16 sex, age, deprivation index, PC1-16 —
PPM017727 PGS003547
(cont-decay-log_platelet_crit)
 PSS010576|
Greater Middle Eastern Ancestry|
1,123 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Platelet crit — — partial-R2: 0.17 sex, age, deprivation index, PC1-16 —
PPM017811 PGS003547
(cont-decay-log_platelet_crit)
 PSS010240|
European Ancestry|
2,263 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Platelet crit — — partial-R2: 0.13 sex, age, deprivation index, PC1-16 —
PPM017895 PGS003547
(cont-decay-log_platelet_crit)
 PSS010492|
South Asian Ancestry|
6,024 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Platelet crit — — partial-R2: 0.12 sex, age, deprivation index, PC1-16 —
PPM017979 PGS003547
(cont-decay-log_platelet_crit)
 PSS010408|
East Asian Ancestry|
1,750 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Platelet crit — — partial-R2: 0.09 sex, age, deprivation index, PC1-16 —
PPM018063 PGS003547
(cont-decay-log_platelet_crit)
 PSS010324|
African Ancestry|
2,330 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Platelet crit — — partial-R2: 0.04 sex, age, deprivation index, PC1-16 —
PPM018147 PGS003547
(cont-decay-log_platelet_crit)
 PSS010744|
African Ancestry|
3,682 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Platelet crit — — partial-R2: 0.03 sex, age, deprivation index, PC1-16 —
PPM018984 PGS003933
(INI30090)
 PSS011138|
European Ancestry|
65,896 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Platelet crit — — R²: 0.25161 [0.24596, 0.25727]
PGS R2 (no covariates): 0.16315 [0.15806, 0.16824]
Incremental R2 (full-covars): 0.16228		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018985 PGS003933
(INI30090)
 PSS011109|
European Ancestry|
2,813 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Platelet crit — — R²: 0.24843 [0.22117, 0.27569]
PGS R2 (no covariates): 0.17673 [0.15154, 0.20191]
Incremental R2 (full-covars): 0.17323		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018986 PGS003933
(INI30090)
 PSS011113|
South Asian Ancestry|
1,433 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Platelet crit — — R²: 0.24781 [0.20983, 0.28578]
PGS R2 (no covariates): 0.11999 [0.08908, 0.1509]
Incremental R2 (full-covars): 0.10886		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018987 PGS003933
(INI30090)
 PSS011155|
African Ancestry|
1,157 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Platelet crit — — R²: 0.1523 [0.11518, 0.18943]
PGS R2 (no covariates): 0.04384 [0.02137, 0.06631]
Incremental R2 (full-covars): 0.02917		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018988 PGS003933
(INI30090)
 PSS011167|
Multi-ancestry (excluding European)|
7,743 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Platelet crit — — R²: 0.22916 [0.213, 0.24532]
PGS R2 (no covariates): 0.13828 [0.12425, 0.15231]
Incremental R2 (full-covars): 0.13431		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM020468 PGS004353
(X30090.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: Platelet crit — — PGS R2 (no covariates): 0.29084 — —
PPM022532 PGS005173
(VPGS_PCT)
 PSS012005|
European Ancestry|
37,306 individuals
 PGP000723 |
Xiang R et al. Nat Commun (2025)
 Reported Trait: Plateletcrit β: 0.00182 — R²: 0.23808 — effects of PGS*vPGS tested and shown in Supplementary Data 12)

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
PSS010912 — — 19,417 individuals,
46.0 % Male samples
 Mean = 56.9 years
Sd = 7.9 years		 European white British UKB —
PSS010660 — — 6,277 individuals,
45.0 % Male samples
 Mean = 54.5 years
Sd = 8.4 years		 European Italian UKB —
PSS010408 — — 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 —
PSS008788 — — 6,436 individuals — European Italy (South Europe) UKB —
PSS011167 — — 7,743 individuals — East Asian, Other admixed ancestry East Asian, Other admixed ancestry UKB —
PSS007904 — — 2,343 individuals — African American or Afro-Caribbean Carribean UKB —
PSS012005 — — 37,306 individuals — European
(British)		 — INTERVAL —
PSS000291 — — 39,260 individuals — European — INTERVAL —
PSS008562 — — 1,153 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS010828 — — 3,991 individuals,
38.0 % Male samples
 Mean = 54.3 years
Sd = 7.5 years		 European Polish UKB —
PSS009460 — — 19,422 individuals — European UK (+ Ireland) UKB —
PSS010576 — — 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 —
PSS010324 — — 2,330 individuals,
37.0 % Male samples
 Mean = 52.4 years
Sd = 8.0 years		 African American or Afro-Caribbean Caribbean UKB —
PSS000146 — — 37,306 individuals,
49.0 % Male samples
 Mean = 43.82 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS009234 — — 4,002 individuals — European Poland (NE Europe) UKB —
PSS008340 — — 6,076 individuals — South Asian India (South Asia) UKB —
PSS010744 — — 3,682 individuals,
47.0 % Male samples
 Mean = 51.9 years
Sd = 8.1 years		 African unspecified Nigerian UKB —
PSS011364 — — 56,192 individuals — European — UKB —
PSS010492 — — 6,024 individuals,
55.0 % Male samples
 Mean = 53.3 years
Sd = 8.4 years		 South Asian Indian UKB —
PSS011109 — — 2,813 individuals — European
(non-white British ancestry)		 — UKB —
PSS010240 — — 2,263 individuals,
45.0 % Male samples
 Mean = 58.0 years
Sd = 7.1 years		 European Ashkenazi UKB —
PSS011113 — — 1,433 individuals — South Asian — UKB —
PSS000172 — — 78,161 individuals,
46.0 % Male samples
 Mean = 57.2 years
Range = [39.66, 72.91] years		 European — UKB —
PSS006951 — — 6,139 individuals — African unspecified — UKB —
PSS006952 — — 1,655 individuals — East Asian — UKB —
PSS006953 — — 24,171 individuals — European non-white British ancestry UKB —
PSS006954 — — 7,519 individuals — South Asian — UKB —
PSS006955 — — 65,601 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS009008 — — 3,711 individuals — African unspecified Nigeria (West Africa) UKB —
PSS008117 — — 1,762 individuals — East Asian China (East Asia) UKB —
PSS011138 — — 65,896 individuals — European
(white British ancestry)		 — UKB —