Polygenic Score (PGS) ID: PGS005389

Predicted Trait
Reported Trait Alzheimer's disease
Mapped Trait(s) Alzheimer disease (MONDO_0004975)
Released in PGS Catalog: June 17, 2026
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Score Details

Score Construction
PGS Name ADRD_consensus_main_score
Development Method
Name Genome-wide significant SNPs and LD clumping
Parameters p < 5 x 10-8
Variants
Original Genome Build GRCh38
Number of Variants 115
Effect Weight Type log(OR)
PGS Source
PGS Catalog Publication (PGP) ID PGP000776
Citation (link to publication) EADB et al. Nat Genet (2026)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 100%
128,483 individuals (100%)
Score Development/Training
European: 100%
230,631 individuals (100%)
PGS Evaluation
European: 100%
2 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
[
  • 48,089 cases
  • , 80,394 controls
]
 European 23 cohorts
  • ADNI
  • ,ARIC
  • ,Amsterdam
  • ,Bonn
  • ,CHS
  • ,DemGene
  • ,EADB
  • ,EADI
  • ,FHS
  • ,GERAD
  • ,GR@ACE
  • ,GSK
  • ,LOAD
  • ,MAYO
  • ,MIRAGE
  • ,OHSU
  • ,RS
  • ,TARCC
  • ,TGEN
  • ,TGS
  • ,TwinGene
  • ,WASHU
  • ,WHICAP
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
230,631 individuals European 30 cohorts
  • ACT
  • ,ADC
  • ,ADNI
  • ,ARIC
  • ,Amsterdam
  • ,Bonn
  • ,CHS
  • ,DemGene
  • ,EADB
  • ,EADI
  • ,FHS
  • ,FinnGen
  • ,GENADA
  • ,GERAD
  • ,GR@ACE
  • ,HUNT
  • ,MAYO
  • ,MIRAGE
  • ,NIA-LOAD
  • ,OHSU
  • ,ROSMAP
  • ,RS
  • ,TARCC
  • ,TGEN
  • ,TGS
  • ,TwinGene
  • ,UKB
  • ,WASHU
  • ,WHICAP
  • ,deCODE
 Alzheimer's disease and proxy Alzheimer's disease — — — —

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
PPM023431 PSS012179|
European Ancestry|
5,800 individuals
 PGP000776 |
EADB et al. Nat Genet (2026)
 Reported Trait: CERAD score at death OR: 1.12 — — age at death, sex, the number of APOE ε4 and ε2 alleles, 10 PCs and centers —
PPM023428 PSS012178|
European Ancestry|
5,793 individuals
 PGP000776 |
EADB et al. Nat Genet (2026)
 Reported Trait: Braak NFT Stage at death OR: 1.11 — — age at death, sex, the number of APOE ε4 and ε2 alleles, 10 PCs and centers —

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
PSS012178 Braak NFT Stage —
[
  • 4,680 cases
  • , 1,113 controls
]
 — European — NACC —
PSS012179 CERAD score —
[
  • 1,062 cases
  • , 4,738 controls
]
 — European — NACC —