Polygenic Score (PGS) ID: PGS003516

Predicted Trait
Reported Trait Average total household income before tax
Mapped Trait(s) household income (EFO_0009695)
Released in PGS Catalog: April 12, 2023
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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 cont-decay-income
Development Method
Name LDpred2-auto
Parameters vec_p_init = seq_log(1e-4, 0.9, length.out = 10), burn_in = 100, num_iter = 500, report_step = 5
Variants
Original Genome Build GRCh37
Number of Variants 979,739
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000457
Citation (link to publication) Ding Y et al. bioRxiv (2022) Preprint
Ancestry Distribution
Score Development/Training
European: 100%
319,399 individuals (100%)
PGS Evaluation
European: 44.4%
African: 22.2%
East Asian: 11.1%
Greater Middle Eastern: 11.1%
South Asian: 11.1%
9 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
— 319,399 individuals,
0.48 % Male samples
 European UKB — Mean = 56.5 years
Sd = 8.0 years		 — white British —

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
PPM017612 PSS010626|
European Ancestry|
5,489 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Average total household income before tax — — partial-R2: 0.02 sex, age, deprivation index, PC1-16 —
PPM017780 PSS010206|
European Ancestry|
1,950 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Average total household income before tax — — partial-R2: 0.01 sex, age, deprivation index, PC1-16 —
PPM017948 PSS010374|
East Asian Ancestry|
1,406 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Average total household income before tax — — partial-R2: 0.0 sex, age, deprivation index, PC1-16 —
PPM018032 PSS010290|
African Ancestry|
1,874 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Average total household income before tax — — partial-R2: 0.0 sex, age, deprivation index, PC1-16 —
PPM018116 PSS010710|
African Ancestry|
2,881 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Average total household income before tax — — partial-R2: 0.01 sex, age, deprivation index, PC1-16 —
PPM017444 PSS010878|
European Ancestry|
17,153 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Average total household income before tax — — partial-R2: 0.03 sex, age, deprivation index, PC1-16 —
PPM017528 PSS010794|
European Ancestry|
3,468 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Average total household income before tax — — partial-R2: 0.01 sex, age, deprivation index, PC1-16 —
PPM017696 PSS010542|
Greater Middle Eastern Ancestry|
809 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Average total household income before tax — — partial-R2: 0.01 sex, age, deprivation index, PC1-16 —
PPM017864 PSS010458|
South Asian Ancestry|
4,548 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Average total household income before tax — — partial-R2: 0.01 sex, age, deprivation index, PC1-16 —

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
PSS010206 — — 1,950 individuals,
47.0 % Male samples
 Mean = 57.8 years
Sd = 7.1 years		 European Ashkenazi UKB —
PSS010878 — — 17,153 individuals,
48.0 % Male samples
 Mean = 56.4 years
Sd = 7.9 years		 European white British UKB —
PSS010626 — — 5,489 individuals,
46.0 % Male samples
 Mean = 54.1 years
Sd = 8.3 years		 European Italian UKB —
PSS010374 — — 1,406 individuals,
35.0 % Male samples
 Mean = 52.3 years
Sd = 7.7 years		 East Asian Chinese UKB —
PSS010794 — — 3,468 individuals,
40.0 % Male samples
 Mean = 54.2 years
Sd = 7.5 years		 European Polish UKB —
PSS010542 — — 809 individuals,
61.0 % Male samples
 Mean = 52.7 years
Sd = 7.9 years		 Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB —
PSS010290 — — 1,874 individuals,
37.0 % Male samples
 Mean = 51.6 years
Sd = 7.6 years		 African American or Afro-Caribbean Caribbean UKB —
PSS010710 — — 2,881 individuals,
48.0 % Male samples
 Mean = 51.4 years
Sd = 7.7 years		 African unspecified Nigerian UKB —
PSS010458 — — 4,548 individuals,
58.0 % Male samples
 Mean = 52.9 years
Sd = 8.4 years		 South Asian Indian UKB —