Polygenic Score (PGS) ID: PGS001465

Predicted Trait
Reported Trait Mean ICVF in fornix on FA skeleton
Mapped Trait(s)
Additional Trait Information https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25349
Released in PGS Catalog: Nov. 25, 2021
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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 GBE_INI25349
Development Method
Name snpnet
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 188
Effect Weight Type NR
PGS Source
PGS Catalog Publication (PGP) ID PGP000244
Citation (link to publication) Tanigawa Y et al. PLoS Genet (2022)
Ancestry Distribution
Score Development/Training
European: 100%
21,080 individuals (100%)
PGS Evaluation
European: 40%
African: 20%
East Asian: 20%
South Asian: 20%
5 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
21,080 individuals European UKB white British ancestry Training + validation cohort (train_val)

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
PPM005685 PSS005521|
African Ancestry|
182 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Mean ICVF in fornix on FA skeleton : 0.10875 [0.09446, 0.12304]
Incremental R2 (full-covars): -0.00305
PGS R2 (no covariates): 0.00011 [-0.0004, 0.00063]
age, sex, UKB array type, Genotype PCs
PPM005686 PSS005522|
East Asian Ancestry|
106 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Mean ICVF in fornix on FA skeleton : 0.07272 [0.04902, 0.09641]
Incremental R2 (full-covars): -0.00139
PGS R2 (no covariates): 0.00024 [-0.00123, 0.00172]
age, sex, UKB array type, Genotype PCs
PPM005687 PSS005523|
European Ancestry|
1,651 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Mean ICVF in fornix on FA skeleton : 0.06811 [0.06207, 0.07415]
Incremental R2 (full-covars): 0.00582
PGS R2 (no covariates): 0.00481 [0.0031, 0.00653]
age, sex, UKB array type, Genotype PCs
PPM005688 PSS005524|
South Asian Ancestry|
299 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Mean ICVF in fornix on FA skeleton : 0.14317 [0.12882, 0.15753]
Incremental R2 (full-covars): 0.00998
PGS R2 (no covariates): 0.01486 [0.00954, 0.02018]
age, sex, UKB array type, Genotype PCs
PPM005689 PSS005525|
European Ancestry|
5,120 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Mean ICVF in fornix on FA skeleton : 0.04937 [0.04618, 0.05255]
Incremental R2 (full-covars): 0.00787
PGS R2 (no covariates): 0.0081 [0.00675, 0.00944]
age, sex, UKB array type, Genotype 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
PSS005521 182 individuals African unspecified UKB
PSS005522 106 individuals East Asian UKB
PSS005523 1,651 individuals European non-white British ancestry UKB
PSS005524 299 individuals South Asian UKB
PSS005525 5,120 individuals European white British ancestry UKB Testing cohort (heldout set)