Polygenic Score (PGS) ID: PGS003565

Predicted Trait
Reported Trait Neuroticism score
Mapped Trait(s) neuroticism measurement (EFO_0007660)
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-neuroticism
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%
300,888 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
300,888 individuals,
0.47 % Male samples
European UKB Mean = 56.7 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
PPM017493 PSS010932|
European Ancestry|
16,317 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neuroticism score partial-R2: 0.05 sex, age, deprivation index, PC1-16
PPM017577 PSS010848|
European Ancestry|
2,942 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neuroticism score partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM017661 PSS010680|
European Ancestry|
4,958 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neuroticism score partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM017745 PSS010596|
Greater Middle Eastern Ancestry|
633 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neuroticism score partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM017829 PSS010260|
European Ancestry|
1,892 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neuroticism score partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM017913 PSS010512|
South Asian Ancestry|
3,839 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neuroticism score partial-R2: 0.02 sex, age, deprivation index, PC1-16
PPM017997 PSS010428|
East Asian Ancestry|
1,139 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neuroticism score partial-R2: 0.01 sex, age, deprivation index, PC1-16
PPM018081 PSS010344|
African Ancestry|
1,756 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neuroticism score partial-R2: 0.01 sex, age, deprivation index, PC1-16
PPM018165 PSS010764|
African Ancestry|
2,505 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Neuroticism score partial-R2: 0.0 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
PSS010848 2,942 individuals,
38.0 % Male samples
Mean = 54.8 years
Sd = 7.4 years
European Polish UKB
PSS010596 633 individuals,
57.0 % Male samples
Mean = 53.3 years
Sd = 8.0 years
Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB
PSS010344 1,756 individuals,
36.0 % Male samples
Mean = 52.4 years
Sd = 8.0 years
African American or Afro-Caribbean Caribbean UKB
PSS010764 2,505 individuals,
46.0 % Male samples
Mean = 52.1 years
Sd = 8.0 years
African unspecified Nigerian UKB
PSS010512 3,839 individuals,
55.0 % Male samples
Mean = 52.9 years
Sd = 8.4 years
South Asian Indian UKB
PSS010260 1,892 individuals,
46.0 % Male samples
Mean = 57.9 years
Sd = 7.1 years
European Ashkenazi UKB
PSS010932 16,317 individuals,
47.0 % Male samples
Mean = 56.7 years
Sd = 7.9 years
European white British UKB
PSS010680 4,958 individuals,
45.0 % Male samples
Mean = 54.4 years
Sd = 8.3 years
European Italian UKB
PSS010428 1,139 individuals,
34.0 % Male samples
Mean = 52.4 years
Sd = 7.7 years
East Asian Chinese UKB