Polygenic Score (PGS) ID: PGS002802

Predicted Trait
Reported Trait Height
Mapped Trait(s) body height (OBA_VT0001253)
Released in PGS Catalog: Oct. 19, 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 GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL
Development Method
Name SBayesC
Parameters NR
Variants
Original Genome Build hg19
Number of Variants 1,103,042
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000382
Citation (link to publication) Yengo L et al. Nature (2022)
Ancestry Distribution
Source of Variant
Associations (GWAS)
Multi-ancestry (including European): 100%
  • European
  • East Asian
  • Hispanic or Latin American
  • African
  • South Asian
5,314,291 individuals (100%)
PGS Evaluation
African: 28.6%
European: 28.6%
Hispanic or Latin American: 14.3%
East Asian: 14.3%
South Asian: 14.3%
7 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
— 5,314,291 individuals European, East Asian, Hispanic or Latin American, African unspecified, South Asian 152 cohorts
  • 23andMe
  • ,AAA
  • ,AEGS1
  • ,AFNET
  • ,AGES
  • ,AIDHS
  • ,ALSPAC
  • ,ARIC
  • ,ASCOT
  • ,ASPS
  • ,B58C
  • ,BBJ
  • ,BCAC
  • ,BES
  • ,BMDCS
  • ,BMES
  • ,BRIGHT
  • ,BioMe
  • ,BioVU
  • ,CAGE
  • ,CAGE-Amagasaki
  • ,CAGE-KING
  • ,CAMP
  • ,CARDIA
  • ,CARDIOGENICS
  • ,CATHGEN
  • ,CFS
  • ,CHNS
  • ,CHOP
  • ,CHRIS
  • ,CHS
  • ,CKB
  • ,CLHNS
  • ,CROATIA-KORCULA
  • ,CoLaus
  • ,DC
  • ,DGI
  • ,DIACORE
  • ,DNBC
  • ,EB
  • ,ERF
  • ,EUGENDA
  • ,EpiHealth
  • ,FHS
  • ,FINCAVAS
  • ,FINRISK
  • ,FTC
  • ,FUSION
  • ,FamHS
  • ,Fenland
  • ,GCKD
  • ,GENOA
  • ,GEOS
  • ,GLACIER
  • ,GOLDN
  • ,GOMAP
  • ,GRAPHIC
  • ,GS:SFHS
  • ,GerMIFS
  • ,GoDARTS
  • ,HANDLS
  • ,HCHS-SOL
  • ,HCS
  • ,HNR
  • ,HPFS
  • ,HRS
  • ,HUNT
  • ,HYPERGEN
  • ,Health2006
  • ,HealthABC
  • ,INGI-FVG
  • ,InCHIANTI
  • ,Inter99
  • ,JHS
  • ,JHU
  • ,JOCO
  • ,JPDSC
  • ,JUPITER
  • ,KARE
  • ,KORA
  • ,LIFE-Adult
  • ,LLFS
  • ,LOLIPOP
  • ,LURIC
  • ,MCPS
  • ,MCTFR
  • ,MESA
  • ,METSIM
  • ,MGI
  • ,MHI
  • ,MIGen
  • ,MVP
  • ,Maywood
  • ,MrOS-SWE
  • ,MyCode
  • ,NBS
  • ,NEO
  • ,NESDA
  • ,NFBC
  • ,NHAPC
  • ,NHS
  • ,NHS2
  • ,NIHR BIORESOURCE
  • ,NSHD
  • ,NTR
  • ,Nagahama_Study
  • ,Nigeria
  • ,OBB
  • ,OGP
  • ,ORCADES
  • ,PEGASUS
  • ,PHS
  • ,PMB
  • ,POPGEN
  • ,PRACTICAL
  • ,PREVEND
  • ,PROCARDIS
  • ,PROMIS
  • ,PROSPER
  • ,QFS
  • ,QIMR
  • ,RHS
  • ,RISC
  • ,ROSMAP
  • ,RS
  • ,SBCS
  • ,SCES
  • ,SCHS
  • ,SHIP
  • ,SIMES
  • ,SINDI
  • ,SORBS
  • ,SP2
  • ,STRIP
  • ,SWHS
  • ,SardiNIA
  • ,THISEAS
  • ,TRAILSCC
  • ,TUDR
  • ,TWT2D
  • ,TwinGene
  • ,TwinsUK
  • ,UCSF
  • ,UKHLS
  • ,VIKING
  • ,VIS
  • ,WGHS
  • ,WHI
  • ,YFS
  • ,deCODE
  • ,eMERGE
  • ,iPSYCH

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
PPM015523 PSS009974|
European Ancestry|
14,587 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.401 age, sex and 10 genetic principal components —
PPM015525 PSS009973|
European Ancestry|
14,058 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.399 age, sex and 10 genetic principal components —
PPM015527 PSS009976|
South Asian Ancestry|
9,257 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.214 age, sex and 10 genetic principal components —
PPM015529 PSS009972|
East Asian Ancestry|
2,246 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.202 age, sex and 10 genetic principal components —
PPM015531 PSS009975|
Hispanic or Latin American Ancestry|
5,798 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.201 age, sex and 10 genetic principal components —
PPM015533 PSS009977|
African Ancestry|
6,911 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.123 age, sex and 10 genetic principal components —
PPM015535 PSS009978|
African Ancestry|
8,238 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.094 age, sex and 10 genetic principal components —

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
PSS009972 — — 2,246 individuals — East Asian — UKB —
PSS009973 — — 14,058 individuals — European — NR LLB
PSS009974 — — 14,587 individuals — European — UKB —
PSS009975 — — 5,798 individuals — Hispanic or Latin American — PAGE —
PSS009976 — — 9,257 individuals — South Asian — UKB —
PSS009977 — — 6,911 individuals — African unspecified — PAGE —
PSS009978 — — 8,238 individuals — African unspecified — UKB —