Trait: migraine disorder

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
  • migraine
  • migraine disorder
  • migraine headache
  • migraine variant
  • migraine with or without aura
Mapped terms 6 mapped terms
  • DOID:6364
  • EFO:0003821
  • ICD9:346
  • ICD9:346.9
  • MESH:D008881
  • NCIT:C89715

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 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

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
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] : 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
: 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] : 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] : 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] : 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
: 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] : 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
: 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] : 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] : 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

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
PSS004672
[
  • 148 cases
  • , 6,349 controls
]
African unspecified UKB
PSS004673
[
  • 27 cases
  • , 1,677 controls
]
East Asian UKB
PSS004674
[
  • 821 cases
  • , 24,084 controls
]
European non-white British ancestry UKB
PSS004675
[
  • 217 cases
  • , 7,614 controls
]
South Asian UKB
PSS004676
[
  • 2,642 cases
  • , 64,783 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004642
[
  • 169 cases
  • , 6,328 controls
]
African unspecified UKB
PSS004643
[
  • 34 cases
  • , 1,670 controls
]
East Asian UKB
PSS004644
[
  • 1,079 cases
  • , 23,826 controls
]
European non-white British ancestry UKB
PSS004645
[
  • 265 cases
  • , 7,566 controls
]
South Asian UKB
PSS004646
[
  • 3,398 cases
  • , 64,027 controls
]
European white British ancestry UKB Testing cohort (heldout set)