Polygenic Score (PGS) ID: PGS001996

Predicted Trait
Reported Trait Neuroticism score
Mapped Trait(s) neuroticism measurement (EFO_0007660)
Additional Trait Information psychiatric disorders
Released in PGS Catalog: Jan. 10, 2022
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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 portability-PLR_neuroticism
Development Method
Name Penalized regression (bigstatsr)
Parameters HapMap3 variants
Variants
Original Genome Build GRCh37
Number of Variants 54,715
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000263
Citation (link to publication) Privé F et al. Am J Hum Genet (2022)
Ancestry Distribution
Score Development/Training
European: 100%
391,124 individuals (100%)
PGS Evaluation
European: 37.5%
African: 25%
East Asian: 12.5%
Greater Middle Eastern: 12.5%
South Asian: 12.5%
8 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
— 391,124 individuals European UKB — — — UK (+ Ireland) —

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
PPM010843 PSS009479|
European Ancestry|
16,206 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Neuroticism score — — Partial Correlation (partial-r): 0.1882 [0.1733, 0.203] sex, age, birth date, deprivation index, 16 PCs —
PPM010844 PSS009253|
European Ancestry|
2,941 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Neuroticism score — — Partial Correlation (partial-r): 0.1696 [0.1341, 0.2046] sex, age, birth date, deprivation index, 16 PCs —
PPM010845 PSS008807|
European Ancestry|
5,081 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Neuroticism score — — Partial Correlation (partial-r): 0.1732 [0.1464, 0.1998] sex, age, birth date, deprivation index, 16 PCs —
PPM010846 PSS008581|
Greater Middle Eastern Ancestry|
632 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Neuroticism score — — Partial Correlation (partial-r): 0.1655 [0.0874, 0.2416] sex, age, birth date, deprivation index, 16 PCs —
PPM010847 PSS008359|
South Asian Ancestry|
3,839 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Neuroticism score — — Partial Correlation (partial-r): 0.1307 [0.0994, 0.1618] sex, age, birth date, deprivation index, 16 PCs —
PPM010848 PSS008136|
East Asian Ancestry|
1,138 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Neuroticism score — — Partial Correlation (partial-r): 0.1278 [0.0697, 0.185] sex, age, birth date, deprivation index, 16 PCs —
PPM010849 PSS007923|
African Ancestry|
1,756 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Neuroticism score — — Partial Correlation (partial-r): 0.0778 [0.0308, 0.1243] sex, age, birth date, deprivation index, 16 PCs —
PPM010850 PSS009027|
African Ancestry|
2,505 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Neuroticism score — — Partial Correlation (partial-r): 0.0476 [0.0083, 0.0867] sex, age, birth date, deprivation index, 16 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
PSS009253 — — 2,941 individuals — European Poland (NE Europe) UKB —
PSS008581 — — 632 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS009479 — — 16,206 individuals — European UK (+ Ireland) UKB —
PSS008807 — — 5,081 individuals — European Italy (South Europe) UKB —
PSS008359 — — 3,839 individuals — South Asian India (South Asia) UKB —
PSS008136 — — 1,138 individuals — East Asian China (East Asia) UKB —
PSS007923 — — 1,756 individuals — African American or Afro-Caribbean Carribean UKB —
PSS009027 — — 2,505 individuals — African unspecified Nigeria (West Africa) UKB —