Polygenic Score (PGS) ID: PGS001973

Predicted Trait
Reported Trait Platelet count
Mapped Trait(s) platelet count (EFO_0004309)
Additional Trait Information biological measures
Released in PGS Catalog: Jan. 10, 2022
Download Score FTP directory
Terms and Licenses
PGS obtained from the Catalog should be cited appropriately, and used in accordance with any licensing restrictions set by the authors. See EBI Terms of Use (https://www.ebi.ac.uk/about/terms-of-use/) for additional details.

Score Details

Score Construction
PGS Name portability-PLR_log_platelet
Development Method
Name Penalized regression (bigstatsr)
Parameters HapMap3 variants
Variants
Original Genome Build GRCh37
Number of Variants 60,665
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000263
Citation (link to publication) Privé F et al. Am J Hum Genet (2022)
Ancestry Distribution
Score Development/Training
European: 100%
391,124 individuals (100%)
PGS Evaluation
European: 37.5%
African: 25%
East Asian: 12.5%
Greater Middle Eastern: 12.5%
South Asian: 12.5%
8 Sample Sets

Development Samples

Score Development/Training
Study Identifiers Sample Numbers Sample Ancestry Cohort(s) Phenotype Definitions & Methods Age of Study Participants Participant Follow-up Time Additional Ancestry Description Additional Sample/Cohort Information
— 391,124 individuals European UKB — — — UK (+ Ireland) —

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) 		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
PPM010665 PSS007903|
African Ancestry|
2,343 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet count — — Partial Correlation (partial-r): 0.2414 [0.2028, 0.2794] sex, age, birth date, deprivation index, 16 PCs —
PPM010659 PSS009459|
European Ancestry|
19,422 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet count — — Partial Correlation (partial-r): 0.4839 [0.473, 0.4946] sex, age, birth date, deprivation index, 16 PCs —
PPM010660 PSS009233|
European Ancestry|
4,002 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet count — — Partial Correlation (partial-r): 0.4742 [0.4498, 0.498] sex, age, birth date, deprivation index, 16 PCs —
PPM010661 PSS008787|
European Ancestry|
6,436 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet count — — Partial Correlation (partial-r): 0.4739 [0.4547, 0.4927] sex, age, birth date, deprivation index, 16 PCs —
PPM010662 PSS008561|
Greater Middle Eastern Ancestry|
1,153 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet count — — Partial Correlation (partial-r): 0.4562 [0.4088, 0.5011] sex, age, birth date, deprivation index, 16 PCs —
PPM010663 PSS008339|
South Asian Ancestry|
6,076 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet count — — Partial Correlation (partial-r): 0.4242 [0.4034, 0.4447] sex, age, birth date, deprivation index, 16 PCs —
PPM010664 PSS008116|
East Asian Ancestry|
1,762 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet count — — Partial Correlation (partial-r): 0.3503 [0.3084, 0.3908] sex, age, birth date, deprivation index, 16 PCs —
PPM010666 PSS009007|
African Ancestry|
3,711 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Platelet count — — Partial Correlation (partial-r): 0.2443 [0.2137, 0.2744] 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
PSS009007 — — 3,711 individuals — African unspecified Nigeria (West Africa) UKB —
PSS008561 — — 1,153 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS009233 — — 4,002 individuals — European Poland (NE Europe) UKB —
PSS008787 — — 6,436 individuals — European Italy (South Europe) UKB —
PSS009459 — — 19,422 individuals — European UK (+ Ireland) UKB —
PSS008339 — — 6,076 individuals — South Asian India (South Asia) UKB —
PSS008116 — — 1,762 individuals — East Asian China (East Asia) UKB —
PSS007903 — — 2,343 individuals — African American or Afro-Caribbean Carribean UKB —