Trait: neuropathy

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004149
Description A disorder affecting the nervous system that manifests with pain, tingling, numbness, and/or muscle weakness.
Trait category
Other trait

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)
PGS019001
(TPMI_357_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Inflammatory and toxic neuropathy neuropathy 155,574
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019001/ScoringFiles/PGS019001.txt.gz
PGS019002
(TPMI_357_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Inflammatory and toxic neuropathy neuropathy 939,882
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019002/ScoringFiles/PGS019002.txt.gz
PGS019003
(TPMI_357_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Inflammatory and toxic neuropathy neuropathy 26,916
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019003/ScoringFiles/PGS019003.txt.gz
PGS019004
(TPMI_357_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Inflammatory and toxic neuropathy neuropathy 983,823
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019004/ScoringFiles/PGS019004.txt.gz
PGS019005
(TPMI_357_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Inflammatory and toxic neuropathy neuropathy 974,368
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019005/ScoringFiles/PGS019005.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
PPM037183 PGS019001
(TPMI_357_Lassosum2)
 PSS012904|
East Asian Ancestry|
19,044 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Inflammatory and toxic neuropathy — AUROC: 0.60542 R²: 0.01438 sex, age, array, PCs 1-10 —
PPM037184 PGS019002
(TPMI_357_LDpred2)
 PSS012903|
East Asian Ancestry|
19,044 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Inflammatory and toxic neuropathy — AUROC: 0.60618 R²: 0.0144 sex, age, array, PCs 1-10 —
PPM037185 PGS019003
(TPMI_357_MegaPRS)
 PSS012905|
East Asian Ancestry|
19,044 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Inflammatory and toxic neuropathy — AUROC: 0.60195 R²: 0.01347 sex, age, array, PCs 1-10 —
PPM037186 PGS019004
(TPMI_357_PRS-CS)
 PSS012906|
East Asian Ancestry|
19,044 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Inflammatory and toxic neuropathy — AUROC: 0.6048 R²: 0.01407 sex, age, array, PCs 1-10 —
PPM037187 PGS019005
(TPMI_357_SBayesR)
 PSS012907|
East Asian Ancestry|
19,044 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Inflammatory and toxic neuropathy — AUROC: 0.60676 R²: 0.01426 sex, age, array, PCs 1-10 —

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
PSS012903 357,A52.15, G13.0, G13.1, G61, G62.2, G62.8, G62.9, G63, G64, G65, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M34.83 —
[
  • 669 cases
  • , 18,375 controls
]
,
46.19 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012904 357,A52.15, G13.0, G13.1, G61, G62.2, G62.8, G62.9, G63, G64, G65, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M34.83 —
[
  • 669 cases
  • , 18,375 controls
]
,
46.19 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012905 357,A52.15, G13.0, G13.1, G61, G62.2, G62.8, G62.9, G63, G64, G65, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M34.83 —
[
  • 669 cases
  • , 18,375 controls
]
,
46.19 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012906 357,A52.15, G13.0, G13.1, G61, G62.2, G62.8, G62.9, G63, G64, G65, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M34.83 —
[
  • 669 cases
  • , 18,375 controls
]
,
46.19 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012907 357,A52.15, G13.0, G13.1, G61, G62.2, G62.8, G62.9, G63, G64, G65, M05.50, M05.51, M05.52, M05.53, M05.54, M05.55, M05.56, M05.57, M05.59, M34.83 —
[
  • 669 cases
  • , 18,375 controls
]
,
46.19 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —