Trait Information | |
Identifier | MONDO_0005277 |
Description | A common, severe type of vascular headache often associated with increased sympathetic activity, resulting in nausea, vomiting, and light sensitivity. [NCIT: C89715] | Trait categories |
Cardiovascular disease
Neurological disorder
|
Synonyms |
5 synonyms
|
Mapped terms |
7 mapped terms
|
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) |
---|---|---|---|---|---|---|
PGS001281 (GBE_HC86) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Migraine | migraine disorder | 25 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001281/ScoringFiles/PGS001281.txt.gz |
PGS001282 (GBE_HC815) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Migraine (time-to-event) | migraine disorder | 329 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001282/ScoringFiles/PGS001282.txt.gz |
PGS004797 (migraine_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Migraine | migraine disorder | 23 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004797/ScoringFiles/PGS004797.txt.gz |
PGS004798 (migraine_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Migraine | migraine disorder | 3,984,158 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004798/ScoringFiles/PGS004798.txt.gz |
PGS004799 (migraine_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Migraine | migraine disorder | 4,319,950 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004799/ScoringFiles/PGS004799.txt.gz |
PGS004800 (migraine_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Migraine | migraine disorder | 2,968,987 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004800/ScoringFiles/PGS004800.txt.gz |
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 |
---|---|---|---|---|---|---|---|---|---|
PPM008903 | PGS001281 (GBE_HC86) |
PSS004672| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Migraine | — | AUROC: 0.68314 [0.64175, 0.72454] | R²: 0.04548 Incremental AUROC (full-covars): 0.00141 PGS R2 (no covariates): 7e-05 PGS AUROC (no covariates): 0.51212 [0.4664, 0.55784] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008904 | PGS001281 (GBE_HC86) |
PSS004673| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Migraine | — | AUROC: 0.70929 [0.59332, 0.82526] | Incremental AUROC (full-covars): 0.00197 R²: 0.0907 PGS R2 (no covariates): 0.00054 PGS AUROC (no covariates): 0.51635 [0.40666, 0.62605] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008905 | PGS001281 (GBE_HC86) |
PSS004674| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Migraine | — | AUROC: 0.65031 [0.63271, 0.66791] | R²: 0.03585 Incremental AUROC (full-covars): 0.00524 PGS R2 (no covariates): 0.00376 PGS AUROC (no covariates): 0.54846 [0.52849, 0.56843] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008906 | PGS001281 (GBE_HC86) |
PSS004675| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Migraine | — | AUROC: 0.71746 [0.68326, 0.75166] | R²: 0.07262 Incremental AUROC (full-covars): 0.00414 PGS R2 (no covariates): 0.0051 PGS AUROC (no covariates): 0.55594 [0.51785, 0.59403] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008907 | PGS001281 (GBE_HC86) |
PSS004676| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Migraine | — | AUROC: 0.6514 [0.64118, 0.66162] | R²: 0.03715 Incremental AUROC (full-covars): 0.00474 PGS R2 (no covariates): 0.0025 PGS AUROC (no covariates): 0.53959 [0.52853, 0.55066] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008908 | PGS001282 (GBE_HC815) |
PSS004642| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE migraine | — | AUROC: 0.68512 [0.64613, 0.72411] | PGS R2 (no covariates): 0.00032 R²: 0.04881 Incremental AUROC (full-covars): 0.00144 PGS AUROC (no covariates): 0.5084 [0.46412, 0.55269] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008909 | PGS001282 (GBE_HC815) |
PSS004643| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE migraine | — | AUROC: 0.71233 [0.61741, 0.80724] | R²: 0.08258 Incremental AUROC (full-covars): 0.00023 PGS R2 (no covariates): 3e-05 PGS AUROC (no covariates): 0.49923 [0.40691, 0.59154] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008910 | PGS001282 (GBE_HC815) |
PSS004644| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE migraine | — | AUROC: 0.63835 [0.62244, 0.65426] | PGS R2 (no covariates): 0.00527 R²: 0.03299 Incremental AUROC (full-covars): 0.00984 PGS AUROC (no covariates): 0.55358 [0.53641, 0.57074] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008911 | PGS001282 (GBE_HC815) |
PSS004645| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE migraine | — | AUROC: 0.71231 [0.68018, 0.74443] | R²: 0.07365 Incremental AUROC (full-covars): 0.00305 PGS R2 (no covariates): 0.00344 PGS AUROC (no covariates): 0.54217 [0.50698, 0.57735] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008912 | PGS001282 (GBE_HC815) |
PSS004646| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE migraine | — | AUROC: 0.64859 [0.63934, 0.65784] | R²: 0.03899 Incremental AUROC (full-covars): 0.00619 PGS R2 (no covariates): 0.0031 PGS AUROC (no covariates): 0.5408 [0.53085, 0.55076] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM021022 | PGS004797 (migraine_PRSmix_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Migraine | — | — | Incremental R2 (Full model versus model with only covariates): 0.003 [0.001, 0.005] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
PPM021023 | PGS004798 (migraine_PRSmix_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Migraine | — | — | Incremental R2 (Full model versus model with only covariates): 0.004 [0.001, 0.006] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
PPM021024 | PGS004799 (migraine_PRSmixPlus_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Migraine | — | — | Incremental R2 (Full model versus model with only covariates): 0.019 [0.013, 0.024] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
PPM021025 | PGS004800 (migraine_PRSmixPlus_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Migraine | — | — | Incremental R2 (Full model versus model with only covariates): 0.011 [0.007, 0.016] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
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 |
---|---|---|---|---|---|---|---|---|
PSS004672 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004673 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004674 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004675 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004676 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS004642 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004643 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004644 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004645 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004646 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS011465 | — | — | 9,462 individuals | — | European | — | AllofUs | — |
PSS011474 | — | — | 8,837 individuals | — | South Asian | — | G&H | — |