Polygenic Score (PGS) ID: PGS001393

Predicted Trait
Reported Trait Father's age at death
Mapped Trait(s) father's age at death (EFO_0009712)
Additional Trait Information https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI1807
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_INI1807
Development Method
Name snpnet
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 398
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%
203,349 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
203,349 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
PPM005245 PSS004881|
African Ancestry|
3,727 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Father's age at death : 0.0481 [0.03795, 0.05825]
Incremental R2 (full-covars): 4e-05
PGS R2 (no covariates): 1e-05 [-0.00012, 0.00013]
age, sex, UKB array type, Genotype PCs
PPM005246 PSS004882|
East Asian Ancestry|
1,064 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Father's age at death : 0.03491 [0.01782, 0.052]
Incremental R2 (full-covars): 0.00101
PGS R2 (no covariates): 0.0017 [-0.0022, 0.00561]
age, sex, UKB array type, Genotype PCs
PPM005247 PSS004883|
European Ancestry|
18,430 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Father's age at death : 0.01726 [0.01405, 0.02046]
Incremental R2 (full-covars): 0.00081
PGS R2 (no covariates): 0.0009 [0.00016, 0.00165]
age, sex, UKB array type, Genotype PCs
PPM005248 PSS004884|
South Asian Ancestry|
5,395 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Father's age at death : 0.03831 [0.02998, 0.04664]
Incremental R2 (full-covars): -0.00045
PGS R2 (no covariates): 0.0 [-0.00003, 0.00003]
age, sex, UKB array type, Genotype PCs
PPM005249 PSS004885|
European Ancestry|
50,953 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Father's age at death : 0.01864 [0.01661, 0.02066]
Incremental R2 (full-covars): 0.0006
PGS R2 (no covariates): 0.00069 [0.00029, 0.00108]
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
PSS004881 3,727 individuals African unspecified UKB
PSS004882 1,064 individuals East Asian UKB
PSS004883 18,430 individuals European non-white British ancestry UKB
PSS004884 5,395 individuals South Asian UKB
PSS004885 50,953 individuals European white British ancestry UKB Testing cohort (heldout set)