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 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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