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 disorde... rs such as ADHD and bipolar disorder, as well as problem behaviours such as smoking and drug abuse.Show more
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
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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 behaviour1,110,737
G
-
E
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 behaviour1,098,765
G
-
E
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 behaviourrisk-taking behaviour4,299
-
D
E
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001049/ScoringFiles/PGS001049.txt.gz
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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.

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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
PPM000627PGS000205
(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): 0.01613sex, age of last observation, 10 Genetic PCs, genotyping array, data collection site
PPM000630PGS000206
(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): 0.02273sex, age of last observation, 10 Genetic PCs
PPM008003PGS001049
(GBE_BIN2040)
PSS003662|
African Ancestry|
5,964 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Risk takingAUROC: 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 PCsFull Model & PGS R2 is estimated using Nagelkerke's method
PPM008004PGS001049
(GBE_BIN2040)
PSS003663|
East Asian Ancestry|
1,452 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Risk takingAUROC: 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 PCsFull Model & PGS R2 is estimated using Nagelkerke's method
PPM008005PGS001049
(GBE_BIN2040)
PSS003664|
European Ancestry|
23,683 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Risk takingAUROC: 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 PCsFull Model & PGS R2 is estimated using Nagelkerke's method
PPM008006PGS001049
(GBE_BIN2040)
PSS003665|
South Asian Ancestry|
6,771 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Risk takingAUROC: 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 PCsFull Model & PGS R2 is estimated using Nagelkerke's method
PPM008007PGS001049
(GBE_BIN2040)
PSS003666|
European Ancestry|
65,315 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Risk takingAUROC: 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 PCsFull Model & PGS R2 is estimated using Nagelkerke's method
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Evaluated Samples

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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
PSS0003397,599 individuals,
47.16 % Male samples
Mean = 36.94 years
Sd = 14.77 years
Range = [12.0, 91.0] years
EuropeanCOGA
PSS0003401,251 individuals,
45.6 % Male samples
Mean = 21.9 years
Sd = 0.77 years
Range = [21.0, 26.0] years
European
(Finnish)
FinnTwin12Twin Study
PSS003662
[
  • 2,566 cases
  • , 3,398 controls
]
African unspecifiedUKB
PSS003663
[
  • 429 cases
  • , 1,023 controls
]
East AsianUKB
PSS003664
[
  • 8,855 cases
  • , 14,828 controls
]
Europeannon-white British ancestryUKB
PSS003665
[
  • 2,703 cases
  • , 4,068 controls
]
South AsianUKB
PSS003666
[
  • 17,186 cases
  • , 48,129 controls
]
Europeanwhite British ancestryUKBTesting cohort (heldout set)
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