Trait: platelet component distribution width

Experimental Factor Ontology (EFO) Information
Identifier EFO_0007984
Description
  • Measure of variation in platelet size.
  • The determination of the amount of platelet shape changes present in a sample. [ NCI ]
Trait category
Hematological measurement
Synonyms 3 synonyms
  • PCDW
  • Platelet Component Distribution Width Measurement
  • Platelet distribution width
Mapped terms 2 mapped terms
  • CMO:0001350
  • NCIt:C111294

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)
PGS000108
(pdw)
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Platelet distribution width platelet component distribution width 25,995
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000108/ScoringFiles/PGS000108.txt.gz
PGS000185
(pdw)
 PGP000078 |
Vuckovic D et al. Cell (2020)
 Platelet distribution width platelet component distribution width 555
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000185/ScoringFiles/PGS000185.txt.gz
PGS001079
(GBE_INI30110)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Platelet distribution width platelet component distribution width 18,814
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001079/ScoringFiles/PGS001079.txt.gz
PGS001972
(portability-PLR_log_platelet_width)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Platelet distribution width platelet component distribution width 46,157
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001972/ScoringFiles/PGS001972.txt.gz
PGS002190
(portability-ldpred2_log_platelet_width)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Platelet distribution width platelet component distribution width 482,649
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002190/ScoringFiles/PGS002190.txt.gz
PGS003549
(cont-decay-log_platelet_width)
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Platelet distribution width platelet component distribution width 979,739
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003549/ScoringFiles/PGS003549.txt.gz
PGS003935
(INI30110)
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Platelet distribution width platelet component distribution width 21,899
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003935/ScoringFiles/PGS003935.txt.gz
PGS004355
(X30110.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Platelet distribution width platelet component distribution width 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004355/ScoringFiles/PGS004355.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
PPM000248 PGS000108
(pdw)
 PSS000173|
European Ancestry|
78,290 individuals
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Reported Trait: Platelet distribution width — — Pearson correlation coefficent (r): 0.49624 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000249 PGS000108
(pdw)
 PSS000147|
European Ancestry|
37,262 individuals
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Reported Trait: Platelet distribution width — — Pearson correlation coefficent (r): 0.28359 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) —
PPM000539 PGS000185
(pdw)
 PSS000291|
European Ancestry|
39,260 individuals
 PGP000078 |
Vuckovic D et al. Cell (2020)
 Reported Trait: Platelet distribution width — — R²: 0.05996 sex, age, 10 genetic PCs —
PPM008153 PGS001079
(GBE_INI30110)
 PSS006961|
African Ancestry|
6,139 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Platelet distribution width — — R²: 0.08809 [0.07494, 0.10125]
Incremental R2 (full-covars): 0.05017
PGS R2 (no covariates): 0.05279 [0.04222, 0.06337]		 age, sex, UKB array type, Genotype PCs —
PPM008154 PGS001079
(GBE_INI30110)
 PSS006962|
East Asian Ancestry|
1,655 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Platelet distribution width — — R²: 0.1275 [0.09798, 0.15703]
Incremental R2 (full-covars): 0.09522
PGS R2 (no covariates): 0.09877 [0.07193, 0.12561]		 age, sex, UKB array type, Genotype PCs —
PPM008155 PGS001079
(GBE_INI30110)
 PSS006963|
European Ancestry|
24,171 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Platelet distribution width — — R²: 0.2279 [0.21875, 0.23705]
Incremental R2 (full-covars): 0.20117
PGS R2 (no covariates): 0.2053 [0.19636, 0.21424]		 age, sex, UKB array type, Genotype PCs —
PPM008156 PGS001079
(GBE_INI30110)
 PSS006964|
South Asian Ancestry|
7,519 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Platelet distribution width — — R²: 0.18488 [0.16936, 0.2004]
Incremental R2 (full-covars): 0.16662
PGS R2 (no covariates): 0.16657 [0.15151, 0.18163]		 age, sex, UKB array type, Genotype PCs —
PPM008157 PGS001079
(GBE_INI30110)
 PSS006965|
European Ancestry|
65,601 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Platelet distribution width — — R²: 0.22746 [0.2219, 0.23302]
Incremental R2 (full-covars): 0.20559
PGS R2 (no covariates): 0.20528 [0.19985, 0.21072]		 age, sex, UKB array type, Genotype PCs —
PPM010652 PGS001972
(portability-PLR_log_platelet_width)
 PSS009236|
European Ancestry|
4,002 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet distribution width — — Partial Correlation (partial-r): 0.4717 [0.4471, 0.4955] sex, age, birth date, deprivation index, 16 PCs —
PPM010653 PGS001972
(portability-PLR_log_platelet_width)
 PSS008790|
European Ancestry|
6,437 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet distribution width — — Partial Correlation (partial-r): 0.4481 [0.4283, 0.4674] sex, age, birth date, deprivation index, 16 PCs —
PPM010654 PGS001972
(portability-PLR_log_platelet_width)
 PSS008564|
Greater Middle Eastern Ancestry|
1,153 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet distribution width — — Partial Correlation (partial-r): 0.4507 [0.403, 0.4959] sex, age, birth date, deprivation index, 16 PCs —
PPM010655 PGS001972
(portability-PLR_log_platelet_width)
 PSS008342|
South Asian Ancestry|
6,078 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet distribution width — — Partial Correlation (partial-r): 0.4365 [0.4158, 0.4566] sex, age, birth date, deprivation index, 16 PCs —
PPM010656 PGS001972
(portability-PLR_log_platelet_width)
 PSS008119|
East Asian Ancestry|
1,762 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet distribution width — — Partial Correlation (partial-r): 0.3413 [0.2991, 0.3821] sex, age, birth date, deprivation index, 16 PCs —
PPM010657 PGS001972
(portability-PLR_log_platelet_width)
 PSS007906|
African Ancestry|
2,343 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet distribution width — — Partial Correlation (partial-r): 0.227 [0.188, 0.2652] sex, age, birth date, deprivation index, 16 PCs —
PPM010658 PGS001972
(portability-PLR_log_platelet_width)
 PSS009010|
African Ancestry|
3,711 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet distribution width — — Partial Correlation (partial-r): 0.2247 [0.1938, 0.2551] sex, age, birth date, deprivation index, 16 PCs —
PPM010651 PGS001972
(portability-PLR_log_platelet_width)
 PSS009462|
European Ancestry|
19,423 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet distribution width — — Partial Correlation (partial-r): 0.4623 [0.4511, 0.4733] sex, age, birth date, deprivation index, 16 PCs —
PPM012368 PGS002190
(portability-ldpred2_log_platelet_width)
 PSS009236|
European Ancestry|
4,002 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet distribution width — — Partial Correlation (partial-r): 0.4638 [0.439, 0.4878] sex, age, birth date, deprivation index, 16 PCs —
PPM012369 PGS002190
(portability-ldpred2_log_platelet_width)
 PSS008790|
European Ancestry|
6,437 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet distribution width — — Partial Correlation (partial-r): 0.4435 [0.4237, 0.463] sex, age, birth date, deprivation index, 16 PCs —
PPM012370 PGS002190
(portability-ldpred2_log_platelet_width)
 PSS008564|
Greater Middle Eastern Ancestry|
1,153 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet distribution width — — Partial Correlation (partial-r): 0.433 [0.3844, 0.4791] sex, age, birth date, deprivation index, 16 PCs —
PPM012371 PGS002190
(portability-ldpred2_log_platelet_width)
 PSS008342|
South Asian Ancestry|
6,078 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet distribution width — — Partial Correlation (partial-r): 0.4272 [0.4064, 0.4476] sex, age, birth date, deprivation index, 16 PCs —
PPM012372 PGS002190
(portability-ldpred2_log_platelet_width)
 PSS008119|
East Asian Ancestry|
1,762 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet distribution width — — Partial Correlation (partial-r): 0.3414 [0.2992, 0.3822] sex, age, birth date, deprivation index, 16 PCs —
PPM012373 PGS002190
(portability-ldpred2_log_platelet_width)
 PSS007906|
African Ancestry|
2,343 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet distribution width — — Partial Correlation (partial-r): 0.2196 [0.1806, 0.258] sex, age, birth date, deprivation index, 16 PCs —
PPM012374 PGS002190
(portability-ldpred2_log_platelet_width)
 PSS009010|
African Ancestry|
3,711 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet distribution width — — Partial Correlation (partial-r): 0.2233 [0.1924, 0.2538] sex, age, birth date, deprivation index, 16 PCs —
PPM012367 PGS002190
(portability-ldpred2_log_platelet_width)
 PSS009462|
European Ancestry|
19,423 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet distribution width — — Partial Correlation (partial-r): 0.4539 [0.4426, 0.465] sex, age, birth date, deprivation index, 16 PCs —
PPM017477 PGS003549
(cont-decay-log_platelet_width)
 PSS010915|
European Ancestry|
19,418 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Platelet distribution width — — partial-R2: 0.21 sex, age, deprivation index, PC1-16 —
PPM017561 PGS003549
(cont-decay-log_platelet_width)
 PSS010831|
European Ancestry|
3,991 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Platelet distribution width — — partial-R2: 0.21 sex, age, deprivation index, PC1-16 —
PPM017645 PGS003549
(cont-decay-log_platelet_width)
 PSS010663|
European Ancestry|
6,278 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Platelet distribution width — — partial-R2: 0.19 sex, age, deprivation index, PC1-16 —
PPM017729 PGS003549
(cont-decay-log_platelet_width)
 PSS010579|
Greater Middle Eastern Ancestry|
1,123 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Platelet distribution width — — partial-R2: 0.18 sex, age, deprivation index, PC1-16 —
PPM017897 PGS003549
(cont-decay-log_platelet_width)
 PSS010495|
South Asian Ancestry|
6,026 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Platelet distribution width — — partial-R2: 0.18 sex, age, deprivation index, PC1-16 —
PPM017981 PGS003549
(cont-decay-log_platelet_width)
 PSS010411|
East Asian Ancestry|
1,750 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Platelet distribution width — — partial-R2: 0.11 sex, age, deprivation index, PC1-16 —
PPM018065 PGS003549
(cont-decay-log_platelet_width)
 PSS010327|
African Ancestry|
2,330 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Platelet distribution width — — partial-R2: 0.05 sex, age, deprivation index, PC1-16 —
PPM018149 PGS003549
(cont-decay-log_platelet_width)
 PSS010747|
African Ancestry|
3,682 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Platelet distribution width — — partial-R2: 0.05 sex, age, deprivation index, PC1-16 —
PPM017813 PGS003549
(cont-decay-log_platelet_width)
 PSS010243|
European Ancestry|
2,264 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Platelet distribution width — — partial-R2: 0.16 sex, age, deprivation index, PC1-16 —
PPM018994 PGS003935
(INI30110)
 PSS011138|
European Ancestry|
65,896 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Platelet distribution width — — R²: 0.23112 [0.22556, 0.23669]
PGS R2 (no covariates): 0.20884 [0.20339, 0.21428]
Incremental R2 (full-covars): 0.20956		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018996 PGS003935
(INI30110)
 PSS011113|
South Asian Ancestry|
1,433 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Platelet distribution width — — R²: 0.18373 [0.14825, 0.21922]
PGS R2 (no covariates): 0.16615 [0.13168, 0.20061]
Incremental R2 (full-covars): 0.17042		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018998 PGS003935
(INI30110)
 PSS011167|
Multi-ancestry (excluding European)|
7,743 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Platelet distribution width — — R²: 0.22441 [0.20832, 0.2405]
PGS R2 (no covariates): 0.19806 [0.18243, 0.21368]
Incremental R2 (full-covars): 0.17896		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018995 PGS003935
(INI30110)
 PSS011109|
European Ancestry|
2,813 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Platelet distribution width — — R²: 0.20802 [0.18174, 0.23431]
PGS R2 (no covariates): 0.19878 [0.17279, 0.22478]
Incremental R2 (full-covars): 0.19816		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018997 PGS003935
(INI30110)
 PSS011155|
African Ancestry|
1,157 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Platelet distribution width — — R²: 0.0902 [0.05954, 0.12087]
PGS R2 (no covariates): 0.06578 [0.03889, 0.09267]
Incremental R2 (full-covars): 0.05799		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM020470 PGS004355
(X30110.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: Platelet distribution width — — PGS R2 (no covariates): 0.28434 — —

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
PSS010915 — — 19,418 individuals,
46.0 % Male samples
 Mean = 56.9 years
Sd = 7.9 years		 European white British UKB —
PSS010663 — — 6,278 individuals,
45.0 % Male samples
 Mean = 54.5 years
Sd = 8.4 years		 European Italian UKB —
PSS010411 — — 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 —
PSS008790 — — 6,437 individuals — European Italy (South Europe) UKB —
PSS011167 — — 7,743 individuals — East Asian, Other admixed ancestry East Asian, Other admixed ancestry UKB —
PSS007906 — — 2,343 individuals — African American or Afro-Caribbean Carribean UKB —
PSS000291 — — 39,260 individuals — European — INTERVAL —
PSS008564 — — 1,153 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS010831 — — 3,991 individuals,
38.0 % Male samples
 Mean = 54.3 years
Sd = 7.5 years		 European Polish UKB —
PSS009462 — — 19,423 individuals — European UK (+ Ireland) UKB —
PSS010579 — — 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 —
PSS010327 — — 2,330 individuals,
37.0 % Male samples
 Mean = 52.4 years
Sd = 8.0 years		 African American or Afro-Caribbean Caribbean UKB —
PSS000147 — — 37,262 individuals,
50.0 % Male samples
 Mean = 43.81 years
Range = [18.0, 75.8] years		 European — INTERVAL —
PSS009236 — — 4,002 individuals — European Poland (NE Europe) UKB —
PSS008342 — — 6,078 individuals — South Asian India (South Asia) UKB —
PSS011364 — — 56,192 individuals — European — UKB —
PSS010747 — — 3,682 individuals,
47.0 % Male samples
 Mean = 51.9 years
Sd = 8.1 years		 African unspecified Nigerian UKB —
PSS010495 — — 6,026 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 —
PSS010243 — — 2,264 individuals,
45.0 % Male samples
 Mean = 58.0 years
Sd = 7.1 years		 European Ashkenazi UKB —
PSS011113 — — 1,433 individuals — South Asian — UKB —
PSS000173 — — 78,290 individuals,
46.0 % Male samples
 Mean = 57.2 years
Range = [39.99, 70.53] years		 European — UKB —
PSS009010 — — 3,711 individuals — African unspecified Nigeria (West Africa) UKB —
PSS008119 — — 1,762 individuals — East Asian China (East Asia) UKB —
PSS006961 — — 6,139 individuals — African unspecified — UKB —
PSS006962 — — 1,655 individuals — East Asian — UKB —
PSS006963 — — 24,171 individuals — European non-white British ancestry UKB —
PSS006964 — — 7,519 individuals — South Asian — UKB —
PSS006965 — — 65,601 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS011138 — — 65,896 individuals — European
(white British ancestry)		 — UKB —