Polygenic Score (PGS) ID: PGS002804

Predicted Trait
Reported Trait Height
Mapped Trait(s) body height (EFO_0004339)
Released in PGS Catalog: Oct. 19, 2022
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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_EUR
Development Method
Name SBayesC
Parameters NR
Variants
Original Genome Build hg19
Number of Variants 1,099,005
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)
European: 100%
4,080,687 individuals (100%)
PGS Evaluation
European: 100%
2 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
— 4,080,687 individuals European 118 cohorts
  • 23andMe
  • ,AAA
  • ,AEGS1
  • ,AFNET
  • ,AGES
  • ,ALSPAC
  • ,ARIC
  • ,ASCOT
  • ,ASPS
  • ,B58C
  • ,BCAC
  • ,BMDCS
  • ,BMES
  • ,BioMe
  • ,BioVU
  • ,CAMP
  • ,CARDIA
  • ,CARDIOGENICS
  • ,CATHGEN
  • ,CFS
  • ,CHOP
  • ,CHRIS
  • ,CHS
  • ,CROATIA-KORCULA
  • ,CoLaus
  • ,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
  • ,HCS
  • ,HNR
  • ,HPFS
  • ,HRS
  • ,HUNT
  • ,HYPERGEN
  • ,Health2006
  • ,HealthABC
  • ,INGI-FVG
  • ,InCHIANTI
  • ,Inter99
  • ,JHU
  • ,JOCO
  • ,KORA
  • ,LIFE-Adult
  • ,LLFS
  • ,LOLIPOP
  • ,LURIC
  • ,MCTFR
  • ,MESA
  • ,METSIM
  • ,MGI
  • ,MHI
  • ,MIGen
  • ,MVP
  • ,MrOS-SWE
  • ,MyCode
  • ,NBS
  • ,NEO
  • ,NESDA
  • ,NFBC
  • ,NHS
  • ,NHS2
  • ,NSHD
  • ,NTR
  • ,OBB
  • ,OGP
  • ,ORCADES
  • ,PEGASUS
  • ,PHS
  • ,PMB
  • ,POPGEN
  • ,PRACTICAL
  • ,PREVEND
  • ,PROCARDIS
  • ,PROSPER
  • ,QFS
  • ,QIMR
  • ,RISC
  • ,ROSMAP
  • ,RS
  • ,SHIP
  • ,SORBS
  • ,STRIP
  • ,SardiNIA
  • ,THISEAS
  • ,TRAILSCC
  • ,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
PPM015524 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 —
PPM015526 PSS009973|
European Ancestry|
14,058 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.4 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
PSS009973 — — 14,058 individuals — European — NR LLB
PSS009974 — — 14,587 individuals — European — UKB —