| Trait Information | |
| Identifier | MONDO_0006626 |
| Description | A chronic, pathological complication associated with diabetes mellitus, where nerve damages are incurred due to diabetic microvascular injury involving small blood vessels that supply these nerves, resulting in peripheral and/or autonomic nerve dysfunction. [NCIT: P378] | Trait category |
Other trait
|
| 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) |
|---|---|---|---|---|---|---|
| PGS018734 (TPMI_250.6_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Polyneuropathy in diabetes | diabetic neuropathy | 669 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018734/ScoringFiles/PGS018734.txt.gz | |
| PGS018735 (TPMI_250.6_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Polyneuropathy in diabetes | diabetic neuropathy | 939,815 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018735/ScoringFiles/PGS018735.txt.gz | |
| PGS018736 (TPMI_250.6_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Polyneuropathy in diabetes | diabetic neuropathy | 54,980 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018736/ScoringFiles/PGS018736.txt.gz | |
| PGS018737 (TPMI_250.6_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Polyneuropathy in diabetes | diabetic neuropathy | 983,767 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018737/ScoringFiles/PGS018737.txt.gz | |
| PGS018738 (TPMI_250.6_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Polyneuropathy in diabetes | diabetic neuropathy | 1,071,477 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018738/ScoringFiles/PGS018738.txt.gz | |
| PGS018739 (TPMI_250.6_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Polyneuropathy in diabetes | diabetic neuropathy | 996,392 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018739/ScoringFiles/PGS018739.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM036916 | PGS018734 (TPMI_250.6_Lassosum2) |
PSS012666| East Asian Ancestry| 14,427 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Polyneuropathy in diabetes | — | AUROC: 0.64672 | R²: 0.02095 | sex, age, array, PCs 1-10 | — |
| PPM036917 | PGS018735 (TPMI_250.6_LDpred2) |
PSS012665| East Asian Ancestry| 14,427 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Polyneuropathy in diabetes | — | AUROC: 0.66143 | R²: 0.02491 | sex, age, array, PCs 1-10 | — |
| PPM036918 | PGS018736 (TPMI_250.6_MegaPRS) |
PSS012667| East Asian Ancestry| 14,427 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Polyneuropathy in diabetes | — | AUROC: 0.63648 | R²: 0.017 | sex, age, array, PCs 1-10 | — |
| PPM036919 | PGS018737 (TPMI_250.6_PRS-CS) |
PSS012668| East Asian Ancestry| 14,427 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Polyneuropathy in diabetes | — | AUROC: 0.6604 | R²: 0.02481 | sex, age, array, PCs 1-10 | — |
| PPM036920 | PGS018738 (TPMI_250.6_PRSmix+) |
PSS012669| East Asian Ancestry| 14,427 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Polyneuropathy in diabetes | — | AUROC: 0.72686 | R²: 0.05052 | sex, age, array, PCs 1-10 | — |
| PPM036921 | PGS018739 (TPMI_250.6_SBayesR) |
PSS012670| East Asian Ancestry| 14,427 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Polyneuropathy in diabetes | — | AUROC: 0.65242 | R²: 0.02202 | sex, age, array, PCs 1-10 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS012669 | 357.2,E08.42, E09.42, E10.42 | — | [ ,
42.51 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012670 | 357.2,E08.42, E09.42, E10.42 | — | [ ,
42.51 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012665 | 357.2,E08.42, E09.42, E10.42 | — | [ ,
42.51 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012666 | 357.2,E08.42, E09.42, E10.42 | — | [ ,
42.51 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012667 | 357.2,E08.42, E09.42, E10.42 | — | [ ,
42.51 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012668 | 357.2,E08.42, E09.42, E10.42 | — | [ ,
42.51 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |