Trait: risk-taking behaviour

Experimental Factor Ontology (EFO) Information
Identifier EFO_0008579
Description The tendency to take risks. Risk-taking behaviour is a characteristic of several psychiatric disorders such as ADHD and bipolar disorder, as well as problem behaviours such as smoking and drug abuse.
Trait category
Biological process

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution
GWAS
Dev
Eval
Scoring File (FTP Link)
PGS000205
(RISK_PC_COGA)
PGP000084 |
Barr PB et al. Transl Psychiatry (2020)
Risk-taking tendency (4-domain principal component model) risk-taking behaviour 1,110,737
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000205/ScoringFiles/PGS000205.txt.gz
PGS000206
(RISK_PC_FT12)
PGP000084 |
Barr PB et al. Transl Psychiatry (2020)
Risk-taking tendency (4-domain principal component model) risk-taking behaviour 1,098,765
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000206/ScoringFiles/PGS000206.txt.gz
PGS001049
(GBE_BIN2040)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Risk taking behaviour risk-taking behaviour 4,299
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001049/ScoringFiles/PGS001049.txt.gz

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)
Evaluated Score 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
PPM000627 PGS000205
(RISK_PC_COGA)
PSS000339|
European Ancestry|
7,599 individuals
PGP000084 |
Barr PB et al. Transl Psychiatry (2020)
Reported Trait: Alcohol use disorder (DSM-5 criteria count, log-transformed) β: 0.117 (0.011) ΔR-squared (vs. covariates alone): 0.01613 sex, age of last observation, 10 Genetic PCs, genotyping array, data collection site
PPM000630 PGS000206
(RISK_PC_FT12)
PSS000340|
European Ancestry|
1,251 individuals
PGP000084 |
Barr PB et al. Transl Psychiatry (2020)
Reported Trait: Alcohol use disorder (DSM-5 criteria count, log-transformed) β: 0.1 (0.02) ΔR-squared (vs. covariates alone): 0.02273 sex, age of last observation, 10 Genetic PCs
PPM008003 PGS001049
(GBE_BIN2040)
PSS003662|
African Ancestry|
5,964 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Risk taking AUROC: 0.59355 [0.57906, 0.60804] : 0.03496
Incremental AUROC (full-covars): -0.0057
PGS R2 (no covariates): 0.00026
PGS AUROC (no covariates): 0.50522 [0.4904, 0.52004]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008004 PGS001049
(GBE_BIN2040)
PSS003663|
East Asian Ancestry|
1,452 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Risk taking AUROC: 0.59928 [0.56724, 0.63133] : 0.03735
Incremental AUROC (full-covars): -0.00238
PGS R2 (no covariates): 0.00298
PGS AUROC (no covariates): 0.52192 [0.48914, 0.5547]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008005 PGS001049
(GBE_BIN2040)
PSS003664|
European Ancestry|
23,683 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Risk taking AUROC: 0.60288 [0.59552, 0.61025] : 0.04022
Incremental AUROC (full-covars): 0.00695
PGS R2 (no covariates): 0.00623
PGS AUROC (no covariates): 0.53993 [0.53236, 0.54751]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008006 PGS001049
(GBE_BIN2040)
PSS003665|
South Asian Ancestry|
6,771 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Risk taking AUROC: 0.56132 [0.54743, 0.57521] : 0.01506
Incremental AUROC (full-covars): -0.00071
PGS R2 (no covariates): 0.00151
PGS AUROC (no covariates): 0.5197 [0.50576, 0.53364]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008007 PGS001049
(GBE_BIN2040)
PSS003666|
European Ancestry|
65,315 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Risk taking AUROC: 0.63039 [0.6256, 0.63519] : 0.05769
Incremental AUROC (full-covars): 0.00651
PGS R2 (no covariates): 0.00565
PGS AUROC (no covariates): 0.53937 [0.53435, 0.54439]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method

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
PSS000339 7,599 individuals,
47.16 % Male samples
Mean = 36.94 years
Sd = 14.77 years
Range = [12.0, 91.0] years
European COGA
PSS000340 1,251 individuals,
45.6 % Male samples
Mean = 21.9 years
Sd = 0.77 years
Range = [21.0, 26.0] years
European
(Finnish)
FinnTwin12 Twin Study
PSS003662
[
  • 2,566 cases
  • , 3,398 controls
]
African unspecified UKB
PSS003663
[
  • 429 cases
  • , 1,023 controls
]
East Asian UKB
PSS003664
[
  • 8,855 cases
  • , 14,828 controls
]
European non-white British ancestry UKB
PSS003665
[
  • 2,703 cases
  • , 4,068 controls
]
South Asian UKB
PSS003666
[
  • 17,186 cases
  • , 48,129 controls
]
European white British ancestry UKB Testing cohort (heldout set)