Polygenic Score (PGS) ID: PGS003410

Predicted Trait
Reported Trait Intracranial aneurysm
Mapped Trait(s)
Additional Trait Information Unruptured intracranial aneurysm + aneurysmal subarachnoid hemorrhage
Released in PGS Catalog: Jan. 24, 2023
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 5_withUKB_sexMale_IAonly.weights
Development Method
Name elastic net (metaGRS)
Parameters For each trait the best performing among the following models: s-Bayes R, GCTA-BLUP, clumping (9 r-squared thresholds). Then, elastic net regression to obtain per-trait shrinking factors
Original Genome Build GRCh37
Number of Variants 6,618,190
Effect Weight Type metaGRS
PGS Source
PGS Catalog Publication (PGP) ID PGP000423
Citation (link to publication) Bakker MK et al. Stroke (2023)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 100%
79,429 individuals (100%)
Score Development/Training
European: 100%
408,553 individuals (100%)
PGS Evaluation
European: 100%
1 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
GWAS Catalog: GCST011020
  • 7,495 cases
  • , 71,934 controls
(Dutch,Swiss,British,Australian,American,French,French Canadian,Finnish,Polish,Norwegian)
8 cohorts
  • ARIC
  • ,BHS
  • ,GAIN
  • ,HUNT
  • ,NBS
  • ,NFBC
  • ,UKB
  • ,UMC
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
  • 1,161 cases
  • , 407,392 controls
UKB ICD codes I67.1 and I60

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
Performance Source Trait PGS Effect Sizes
(per SD change)
Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
PPM017052 PSS010105|
European Ancestry|
69,396 individuals
PGP000423 |
Bakker MK et al. Stroke (2023)
Reported Trait: Aneurysmal subarachnoid hemorrhage hazard (men only) HR: 1.199 C-index: 0.593 sex, systolic blood pressure, cigarette packs per day
PPM017058 PSS010105|
European Ancestry|
69,396 individuals
PGP000423 |
Bakker MK et al. Stroke (2023)
Reported Trait: Intracranial aneurysm cases (men only) OR: 1.165 C-index: 0.763

Evaluated Samples

PGS Sample Set ID
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
PSS010105 ICD codes I67.1 and I60
  • 828 cases
  • , 68,568 controls