Trait: muscle tissue disorder

Trait Information
Identifier MONDO_0003939
Description A disease involving the muscle tissue.
Trait category
Other trait
Synonyms 11 synonyms
  • disease of muscle organ
  • disease of muscle tissue
  • disease or disorder of muscle organ
  • disease or disorder of muscle tissue
  • disorder of muscle organ
  • disorder of muscle tissue
  • muscle organ disease
  • muscle organ disease or disorder
  • muscle tissue disease
  • muscle tissue disease or disorder
  • muscular disorder
Child trait(s) 4 child traits

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
Note: This table shows PGS for child terms of "muscle tissue disorder" in the EFO hierarchy.
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)
PGS000739
(HCM_GRS)
 PGP000146 |
Harper AR et al. Nat Genet (2021)
 Hypertrophic cardiomyopathy hypertrophic cardiomyopathy 27
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000739/ScoringFiles/PGS000739.txt.gz
PGS000778
(PRSHCM)
 PGP000182 |
Tadros R et al. Nat Genet (2021)
 Hypertrophic cardiomyopathy hypertrophic cardiomyopathy 20
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000778/ScoringFiles/PGS000778.txt.gz
PGS001032
(GBE_HC31)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Uterine fibroids uterine corpus leiomyoma 161
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001032/ScoringFiles/PGS001032.txt.gz
PGS002263
(PRS_UF)
 PGP000291 |
Piekos JA et al. Hum Genet (2022)
 Uterine fibroids uterine corpus leiomyoma 4,457
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002263/ScoringFiles/PGS002263.txt.gz
PGS003868
(CM_LDpred2_ARB)
 PGP000501 |
Shim I et al. Nature Communications (2023)
 Cardiomyopathy cardiomyopathy 1,010,014
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003868/ScoringFiles/PGS003868.txt.gz
PGS004861
(hermes.gwama)
 PGP000608 |
Zheng SL et al. Nat Genet (2024)
 Dilated cardiomyopathy dilated cardiomyopathy 713,932
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004861/ScoringFiles/PGS004861.txt.gz
PGS004862
(hermes.mtag)
 PGP000608 |
Zheng SL et al. Nat Genet (2024)
 Dilated cardiomyopathy (MTAG) dilated cardiomyopathy 709,534
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004862/ScoringFiles/PGS004862.txt.gz
PGS004910
(hcm.gwama)
 PGP000642 |
Zheng SL et al. Nat Genet (2025)
 Hypertrophic cardiomyopathy hypertrophic cardiomyopathy 374,190
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004910/ScoringFiles/PGS004910.txt.gz
PGS004911
(hcm.mtag)
 PGP000642 |
Zheng SL et al. Nat Genet (2025)
 Hypertrophic cardiomyopathy (MTAG) hypertrophic cardiomyopathy 374,114
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004911/ScoringFiles/PGS004911.txt.gz
PGS004946
(DCM_GWAS_exclMGBB)
 PGP000672 |
Jurgens SJ et al. Nat Genet (2024)
 Dilated cardiomyopathy dilated cardiomyopathy 1,098,677
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004946/ScoringFiles/PGS004946.txt.gz
PGS004947
(DCM_MTAG_exclMGBB)
 PGP000672 |
Jurgens SJ et al. Nat Genet (2024)
 Dilated cardiomyopathy (MTAG) dilated cardiomyopathy 1,072,247
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004947/ScoringFiles/PGS004947.txt.gz
PGS004948
(DCM_GWAS_exclUKB)
 PGP000672 |
Jurgens SJ et al. Nat Genet (2024)
 Dilated cardiomyopathy dilated cardiomyopathy 1,068,761
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004948/ScoringFiles/PGS004948.txt.gz
PGS004949
(DCM_MTAG_exclUKB)
 PGP000672 |
Jurgens SJ et al. Nat Genet (2024)
 Dilated cardiomyopathy (MTAG) dilated cardiomyopathy 1,038,394
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004949/ScoringFiles/PGS004949.txt.gz
PGS004950
(DCM_GWAS_exclAUMC)
 PGP000672 |
Jurgens SJ et al. Nat Genet (2024)
 Dilated cardiomyopathy dilated cardiomyopathy 1,098,677
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004950/ScoringFiles/PGS004950.txt.gz
PGS004951
(DCM_MTAG_exclAUMC)
 PGP000672 |
Jurgens SJ et al. Nat Genet (2024)
 Dilated cardiomyopathy (MTAG) dilated cardiomyopathy 1,075,760
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004951/ScoringFiles/PGS004951.txt.gz
PGS018625
(TPMI_218.1_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Uterine leiomyoma uterine corpus leiomyoma 2,512
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018625/ScoringFiles/PGS018625.txt.gz
PGS018626
(TPMI_218.1_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Uterine leiomyoma uterine corpus leiomyoma 270,998
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018626/ScoringFiles/PGS018626.txt.gz
PGS018627
(TPMI_218.1_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Uterine leiomyoma uterine corpus leiomyoma 34,428
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018627/ScoringFiles/PGS018627.txt.gz
PGS018628
(TPMI_218.1_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Uterine leiomyoma uterine corpus leiomyoma 983,780
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018628/ScoringFiles/PGS018628.txt.gz
PGS018629
(TPMI_218.1_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Uterine leiomyoma uterine corpus leiomyoma 976,959
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018629/ScoringFiles/PGS018629.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
PPM001765 PGS000739
(HCM_GRS)
 PSS000909|
Multi-ancestry (including European)|
41,597 individuals
 PGP000146 |
Harper AR et al. Nat Genet (2021)
 Reported Trait: Hypertrophic cardiomyopathy OR: 1.73 [1.63, 1.83] — — Age, gender, PCs(1-10) —
PPM001767 PGS000739
(HCM_GRS)
 PSS000910|
Multi-ancestry (including European)|
20,501 individuals
 PGP000146 |
Harper AR et al. Nat Genet (2021)
 Reported Trait: Hypertrophic cardiomyopathy carrying a pathogenic sarcomere mutation OR: 1.54 [1.39, 1.69] — — Age, gender, PCs(1-10) —
PPM001766 PGS000739
(HCM_GRS)
 PSS000908|
Multi-ancestry (including European)|
21,095 individuals
 PGP000146 |
Harper AR et al. Nat Genet (2021)
 Reported Trait: Hypertrophic cardiomyopathy in individuals who do not carry a pathogenic sarcomere mutation OR: 1.8 [1.67, 1.93] — — Age, gender, PCs(1-10) —
PPM018527 PGS000739
(HCM_GRS)
 PSS011008|
European Ancestry|
184,511 individuals
 PGP000476 |
Biddinger KJ et al. JAMA Cardiol (2022)
|Ext.		 Reported Trait: Hypertrophic cardiomyopathy OR: 1.556 [1.361, 1.778] — — — —
PPM018528 PGS000739
(HCM_GRS)
 PSS011008|
European Ancestry|
184,511 individuals
 PGP000476 |
Biddinger KJ et al. JAMA Cardiol (2022)
|Ext.		 Reported Trait: Hypertrophic cardiomyopathy in noncarriers of an HCM-ACMG rare variant OR: 1.585 [1.375, 1.828] — — — —
PPM018529 PGS000739
(HCM_GRS)
 PSS011007|
European Ancestry|
30,716 individuals
 PGP000476 |
Biddinger KJ et al. JAMA Cardiol (2022)
|Ext.		 Reported Trait: Hypertrophic cardiomyopathy OR: 1.35 [1.21, 1.51] — — — —
PPM018530 PGS000739
(HCM_GRS)
 PSS011008|
European Ancestry|
184,511 individuals
 PGP000476 |
Biddinger KJ et al. JAMA Cardiol (2022)
|Ext.		 Reported Trait: Hypertrophic cardiomyopathy HR: 1.795 [1.521, 2.117] AUROC: 0.725 [0.678, 0.771] — Age, sex, genotyping array, and PCs 1-5 —
PPM018531 PGS000739
(HCM_GRS)
 PSS011008|
European Ancestry|
184,511 individuals
 PGP000476 |
Biddinger KJ et al. JAMA Cardiol (2022)
|Ext.		 Reported Trait: Hypertrophic cardiomyopathy — AUROC: 0.821 [0.772, 0.871] — Clinical risk factors (obesity, HTN, AF, CAD), HCM-ACMG rare variant carrier status, age, sex, genotyping array, and PCs 1-5 —
PPM002016 PGS000778
(PRSHCM)
 PSS000999|
Ancestry Not Reported|
368 individuals
 PGP000182 |
Tadros R et al. Nat Genet (2021)
 Reported Trait: Clinical events in individuals with a pathogenic or likely pathogenic sarcomeric variant HR: 1.28 [1.06, 1.54]
β: 0.247 (0.095)		 — — Genetic relatedness matrix, sex Clinical events includes time to septal reduction therapy, cardiac transplantation, sustained ventricular arrhythmia, sudden cardiac death, appropriate ICD therapy or atrial fibrillation/flutter.
PPM002017 PGS000778
(PRSHCM)
 PSS001000|
Ancestry Not Reported|
368 individuals
 PGP000182 |
Tadros R et al. Nat Genet (2021)
 Reported Trait: Major clinical events in individuals with a pathogenic or likely pathogenic sarcomeric variant HR: 1.29 [1.04, 1.59]
β: 0.255 (0.108)		 — — Genetic relatedness matrix, sex Major clinical events includes time to septal reduction therapy, cardiac transplantation, sustained ventricular arrhythmia, sudden cardiac death or appropriate ICD therapy.
PPM002018 PGS000778
(PRSHCM)
 PSS001004|
Ancestry Not Reported|
368 individuals
 PGP000182 |
Tadros R et al. Nat Genet (2021)
 Reported Trait: Septal reduction therapy in individuals with a pathogenic or likely pathogenic sarcomeric variant HR: 1.36 [1.06, 1.74]
β: 0.304 (0.127)		 — — Genetic relatedness matrix, sex Septal reduction therapy includes time time to septal myectomy or alcohol septal ablation.
PPM002020 PGS000778
(PRSHCM)
 PSS001003|
Ancestry Not Reported|
194 individuals
 PGP000182 |
Tadros R et al. Nat Genet (2021)
 Reported Trait: Maximal left ventricular wall thickness indexed to body surface area (mm/m^2) in individuals with a pathogenic or likely pathogenic sarcomeric variant β: 0.731 (0.238) — — Genetic relatedness matrix Each standard deviation increase in the polgyenic risk score is associated with 0.7 mm m^-2 increase in maximal left ventricular wall thickness.
PPM002021 PGS000778
(PRSHCM)
 PSS001002|
Ancestry Not Reported|
214 individuals
 PGP000182 |
Tadros R et al. Nat Genet (2021)
 Reported Trait: Clinical events in in individuals with a pathogenic or likely pathogenic sarcomeric variant HR: 1.53 [1.05, 2.22]
β: 0.422 (0.193)		 — — Genetic relatedness matrix, sex Clinical events includes time to septal reduction therapy, cardiac transplantation, sustained ventricular arrhythmia, sudden cardiac death, appropriate ICD therapy or atrial fibrillation/flutter.
PPM002015 PGS000778
(PRSHCM)
 PSS001001|
Ancestry Not Reported|
322 individuals
 PGP000182 |
Tadros R et al. Nat Genet (2021)
 Reported Trait: Maximal left ventricular wall thickness indexed to body surface area (mm/m^2) in individuals with a pathogenic or likely pathogenic sarcomeric variant β: 0.726 (0.188) — — Genetic relatedness matrix Each standard deviation increase in the polgyenic risk score is associated with 0.7 mm m^-2 increase in maximal left ventricular wall thickness.
PPM007923 PGS001032
(GBE_HC31)
 PSS004432|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Uterine fibroids — AUROC: 0.76646 [0.74986, 0.78306] R²: 0.19353
Incremental AUROC (full-covars): 0.00769
PGS R2 (no covariates): 0.00167
PGS AUROC (no covariates): 0.52708 [0.49761, 0.55655]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007924 PGS001032
(GBE_HC31)
 PSS004433|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Uterine fibroids — AUROC: 0.78861 [0.72118, 0.85605] R²: 0.15287
Incremental AUROC (full-covars): -0.00776
PGS R2 (no covariates): 2e-05
PGS AUROC (no covariates): 0.48768 [0.36905, 0.60631]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007925 PGS001032
(GBE_HC31)
 PSS004434|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Uterine fibroids — AUROC: 0.76622 [0.75066, 0.78178] R²: 0.12754
Incremental AUROC (full-covars): 0.00896
PGS R2 (no covariates): 0.00275
PGS AUROC (no covariates): 0.54817 [0.52052, 0.57581]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007926 PGS001032
(GBE_HC31)
 PSS004435|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Uterine fibroids — AUROC: 0.84627 [0.82086, 0.87168] R²: 0.18068
Incremental AUROC (full-covars): 0.00364
PGS R2 (no covariates): 0.00384
PGS AUROC (no covariates): 0.55148 [0.49383, 0.60912]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007927 PGS001032
(GBE_HC31)
 PSS004436|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Uterine fibroids — AUROC: 0.78165 [0.77294, 0.79036] R²: 0.14246
Incremental AUROC (full-covars): 0.00535
PGS R2 (no covariates): 0.00214
PGS AUROC (no covariates): 0.54273 [0.52605, 0.55942]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM012882 PGS002263
(PRS_UF)
 PSS009591|
European Ancestry|
26,637 individuals
 PGP000291 |
Piekos JA et al. Hum Genet (2022)
 Reported Trait: Uterine fibroid OR: 1.35 [1.34, 1.37] AUROC: 0.6 [0.58, 0.62] — BMI, age, 10 principal components —
PPM012883 PGS002263
(PRS_UF)
 PSS009591|
European Ancestry|
26,637 individuals
 PGP000291 |
Piekos JA et al. Hum Genet (2022)
 Reported Trait: Benign neoplasm of uterus OR: 1.31 [1.26, 1.37] — — BMI, age, 10 principal components —
PPM012884 PGS002263
(PRS_UF)
 PSS009591|
European Ancestry|
26,637 individuals
 PGP000291 |
Piekos JA et al. Hum Genet (2022)
 Reported Trait: Uterine leiomyoma OR: 1.32 [1.26, 1.37] — — BMI, age, 10 principal components —
PPM018760 PGS003868
(CM_LDpred2_ARB)
 PSS011097|
Greater Middle Eastern Ancestry|
2,669 individuals
 PGP000501 |
Shim I et al. Nature Communications (2023)
 Reported Trait: Cardiomyopathy OR: 1.34 [1.13, 1.64] AUROC: 0.6453 [0.6086, 0.6819] — age, sex, array version, and the first 10 principal components of ancestry —
PPM021092 PGS004861
(hermes.gwama)
 PSS011521|
European Ancestry|
347,585 individuals
 PGP000608 |
Zheng SL et al. Nat Genet (2024)
 Reported Trait: Dilated cardiomyopathy OR: 1.56 AUROC: 0.7 R²: 0.048 age, age^2, sex, PC1-10 —
PPM021093 PGS004862
(hermes.mtag)
 PSS011521|
European Ancestry|
347,585 individuals
 PGP000608 |
Zheng SL et al. Nat Genet (2024)
 Reported Trait: Dilated cardiomyopathy OR: 1.76 AUROC: 0.71 R²: 0.05 age, age^2, sex, PC1-10 —
PPM021366 PGS004910
(hcm.gwama)
 PSS011704|
European Ancestry|
343,182 individuals
 PGP000642 |
Zheng SL et al. Nat Genet (2025)
 Reported Trait: Hypertrophic cardiomyopathy HR: 1.97
OR: 1.26		 AUROC: 0.73 R²: 0.031
Odds ratio (OR, high vs median tertile): 5.5		 age, age^2, sex, PC1-10 —
PPM021367 PGS004911
(hcm.mtag)
 PSS011704|
European Ancestry|
343,182 individuals
 PGP000642 |
Zheng SL et al. Nat Genet (2025)
 Reported Trait: Hypertrophic cardiomyopathy HR: 2.34
OR: 1.33		 AUROC: 0.8 R²: 0.048
Odds ratio (OR, high vs median tertile): 5.9		 age, age^2, sex, PC1-10 —
PPM021753 PGS004946
(DCM_GWAS_exclMGBB)
 PSS011781|
Multi-ancestry (including European)|
96,016 individuals
 PGP000672 |
Jurgens SJ et al. Nat Genet (2024)
 Reported Trait: Non-ischemic dilated cardiomyopathy OR: 1.65762
β: 0.5 (0.04)		 — Univariate (PRS only) AUPRC: 0.0095
Nagelkerke pseudo-R^2 full model: 0.064
Nagelkerke pseudo-R^2 delta PRS/residual: 0.023
Liability-scale R^2 (assuming 0.4% prev) full model: 0.227
Liability-scale R^2 (assuming 0.4% prev) delta PRS/residual: 0.066
Univariate (PRS only) AUC: 0.65 [0.62, 0.67]		 Age, age^2, sex, PC1-12 beta represents log(OR) per SD of PRS
PPM021754 PGS004947
(DCM_MTAG_exclMGBB)
 PSS011781|
Multi-ancestry (including European)|
96,016 individuals
 PGP000672 |
Jurgens SJ et al. Nat Genet (2024)
 Reported Trait: Non-ischemic dilated cardiomyopathy OR: 1.73
β: 0.55 (0.04)		 — Nagelkerke pseudo-R^2 full model: 0.068
Nagelkerke pseudo-R^2 delta PRS/residual: 0.028
Liability-scale R^2 (assuming 0.4% prev) full model: 0.235
Liability-scale R^2 (assuming 0.4% prev) delta PRS/residual: 0.076
Univariate (PRS only) AUC: 0.66 [0.63, 0.68]
Univariate (PRS only) AUPRC: 0.0109		 Age, age^2, sex, PC1-12 beta represents log(OR) per SD of PRS
PPM021755 PGS004948
(DCM_GWAS_exclUKB)
 PSS011782|
Multi-ancestry (including European)|
326,106 individuals
 PGP000672 |
Jurgens SJ et al. Nat Genet (2024)
 Reported Trait: Non-ischemic dilated cardiomyopathy OR: 1.64
β: 0.49 (0.04)		 — Nagelkerke pseudo-R^2 full model: 0.049
Nagelkerke pseudo-R^2 delta PRS/residual: 0.018
Liability-scale R^2 (assuming 0.4% prev) full model: 0.186
Liability-scale R^2 (assuming 0.4% prev) delta PRS/residual: 0.06
Univariate (PRS only) AUC: 0.64 [0.62, 0.66]
Univariate (PRS only) AUPRC: 0.0042		 Age, age^2, sex, array, PC1-12 beta represents log(OR) per SD of PRS
PPM021756 PGS004949
(DCM_MTAG_exclUKB)
 PSS011782|
Multi-ancestry (including European)|
326,106 individuals
 PGP000672 |
Jurgens SJ et al. Nat Genet (2024)
 Reported Trait: Non-ischemic dilated cardiomyopathy OR: 1.91
β: 0.65 (0.04)		 — Nagelkerke pseudo-R^2 full model: 0.06
Nagelkerke pseudo-R^2 delta PRS/residual: 0.029
Liability-scale R^2 (assuming 0.4% prev) full model: 0.216
Liability-scale R^2 (assuming 0.4% prev) delta PRS/residual: 0.095
Univariate (PRS only) AUC: 0.68 [0.66, 0.69]
Univariate (PRS only) AUPRC: 0.0052		 Age, age^2, sex, array, PC1-12 beta represents log(OR) per SD of PRS
PPM021757 PGS004950
(DCM_GWAS_exclAUMC)
 PSS011780|
European Ancestry|
7,761 individuals
 PGP000672 |
Jurgens SJ et al. Nat Genet (2024)
 Reported Trait: Clinical dilated cardiomyopathy OR: 1.71
β: 0.54 (0.04)		 — Nagelkerke pseudo-R^2 full model: 0.101
Nagelkerke pseudo-R^2 delta PRS/residual: 0.052
Liability-scale R^2 (assuming 0.4% prev) full model: 0.13
Liability-scale R^2 (assuming 0.4% prev) delta PRS/residual: 0.073
Univariate (PRS only) AUC: 0.64 [0.62, 0.66]
Univariate (PRS only) AUPRC: 0.1765		 Sex, PC1-12 beta represents log(OR) per SD of PRS
PPM021758 PGS004951
(DCM_MTAG_exclAUMC)
 PSS011780|
European Ancestry|
7,761 individuals
 PGP000672 |
Jurgens SJ et al. Nat Genet (2024)
 Reported Trait: Clinical dilated cardiomyopathy OR: 1.93
β: 0.66 (0.04)		 — Nagelkerke pseudo-R^2 full model: 0.124
Nagelkerke pseudo-R^2 delta PRS/residual: 0.076
Liability-scale R^2 (assuming 0.4% prev) full model: 0.162
Liability-scale R^2 (assuming 0.4% prev) delta PRS/residual: 0.101
Univariate (PRS only) AUC: 0.67 [0.65, 0.69]
Univariate (PRS only) AUPRC: 0.2023		 Sex, PC1-12 beta represents log(OR) per SD of PRS
PPM036807 PGS018625
(TPMI_218.1_Lassosum2)
 PSS012523|
East Asian Ancestry|
9,417 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Uterine leiomyoma — AUROC: 0.83022 R²: 0.23694 sex, age, array, PCs 1-10 —
PPM036808 PGS018626
(TPMI_218.1_LDpred2)
 PSS012522|
East Asian Ancestry|
9,417 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Uterine leiomyoma — AUROC: 0.83104 R²: 0.23821 sex, age, array, PCs 1-10 —
PPM036809 PGS018627
(TPMI_218.1_MegaPRS)
 PSS012524|
East Asian Ancestry|
9,417 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Uterine leiomyoma — AUROC: 0.83009 R²: 0.23677 sex, age, array, PCs 1-10 —
PPM036810 PGS018628
(TPMI_218.1_PRS-CS)
 PSS012525|
East Asian Ancestry|
9,417 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Uterine leiomyoma — AUROC: 0.83054 R²: 0.23802 sex, age, array, PCs 1-10 —
PPM036811 PGS018629
(TPMI_218.1_SBayesR)
 PSS012526|
East Asian Ancestry|
9,417 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Uterine leiomyoma — AUROC: 0.83004 R²: 0.23693 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
PSS004432 — —
[
  • 389 cases
  • , 6,108 controls
]
 — African unspecified — UKB —
PSS004433 — —
[
  • 28 cases
  • , 1,676 controls
]
 — East Asian — UKB —
PSS004434 — —
[
  • 406 cases
  • , 24,499 controls
]
 — European non-white British ancestry UKB —
PSS000908 Cases were individuals with hypertrophic cardiomyopathy. —
[
  • 17 cases
  • , 545 controls
]
 — African unspecified — GEL, RBH-CRB —
PSS000908 Cases were individuals with hypertrophic cardiomyopathy. —
[
  • 1 cases
  • , 39 controls
]
 — Other admixed ancestry Ad Mixed American GEL, RBH-CRB —
PSS000908 Cases were individuals with hypertrophic cardiomyopathy. —
[
  • 0 cases
  • , 126 controls
]
 — East Asian — GEL, RBH-CRB —
PSS000908 Cases were individuals with hypertrophic cardiomyopathy. —
[
  • 1,083 cases
  • , 16,072 controls
]
 — European — GEL, RBH-CRB —
PSS000908 Cases were individuals with hypertrophic cardiomyopathy. —
[
  • 53 cases
  • , 1,510 controls
]
 — South Asian — GEL, RBH-CRB —
PSS000908 Cases were individuals with hypertrophic cardiomyopathy. —
[
  • 26 cases
  • , 1,623 controls
]
 — Not reported — GEL, RBH-CRB —
PSS000909 Cases were individuals with hypertrophic cardiomyopathy. —
[
  • 17 cases
  • , 1,098 controls
]
 — African unspecified — GEL, RBH-CRB —
PSS000909 Cases were individuals with hypertrophic cardiomyopathy. —
[
  • 1 cases
  • , 88 controls
]
 — Other admixed ancestry Ad Mixed American GEL, RBH-CRB —
PSS000909 Cases were individuals with hypertrophic cardiomyopathy. —
[
  • 2 cases
  • , 265 controls
]
 — East Asian — GEL, RBH-CRB —
PSS000909 Cases were individuals with hypertrophic cardiomyopathy. In the individuals recruited from the Netherlands, this was identified using current diagnostic criteria(eft ventricular wall thickness ≥15mm or ≥13mm in presence of family history) —
[
  • 1,653 cases
  • , 32,170 controls
]
 — European — GEL, RBH-CRB —
PSS000909 Cases were individuals with hypertrophic Cardiomyopathy. —
[
  • 62 cases
  • , 2,974 controls
]
 — South Asian — GEL, RBH-CRB —
PSS000909 Cases were individuals with hypertrophic cardiomyopathy. —
[
  • 34 cases
  • , 3,233 controls
]
 — Not reported — GEL, RBH-CRB —
PSS000910 Cases were individuals with hypertrophic cardiomyopathy. —
[
  • 0 cases
  • , 559 controls
]
 — African unspecified — GEL, RBH-CRB —
PSS000910 Cases were individuals with hypertrophic cardiomyopathy. —
[
  • 0 cases
  • , 38 controls
]
 — Other admixed ancestry Ad Mixed American GEL, RBH-CRB —
PSS000910 Cases were individuals with hypertrophic cardiomyopathy. —
[
  • 2 cases
  • , 132 controls
]
 — East Asian — GEL, RBH-CRB —
PSS000910 Cases were individuals with hypertrophic cardiomyopathy. —
[
  • 569 cases
  • , 16,120 controls
]
 — European — GEL, RBH-CRB —
PSS000910 Cases were individuals with hypertrophic cardiomyopathy. —
[
  • 9 cases
  • , 1,441 controls
]
 — South Asian — GEL, RBH-CRB —
PSS000910 Cases were individuals with hypertrophic cardiomyopathy. —
[
  • 8 cases
  • , 1,623 controls
]
 — Not reported — GEL, RBH-CRB —
PSS004436 — —
[
  • 1,148 cases
  • , 66,277 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS011704 — —
[
  • 366 cases
  • , 342,816 controls
]
 — European — UKB —
PSS011781 ICD10 I42.0; excluding antecedent acute coronary disease and/or revascularization —
[
  • 506 cases
  • , 95,510 controls
]
 — European, Not reported Mostly European-American AllofUs —
PSS011782 ICD10 I42.0; excluding antecedent acute coronary disease and/or revascularization —
[
  • 793 cases
  • , 325,313 controls
]
 — European, Not reported — UKB Please note: UKB samples included in the first 45k MRI tranche were removed from this testing set, since the MTAG data includes GWAS data of cardiac MRI traits from the UKB.
PSS011097 — — 2,669 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian)
(Arab)		 — NR N total after excluding missing values = 2,553
PSS011780 Clinical criteria + imaging —
[
  • 783 cases
  • , 6,978 controls
]
 — European
(Dutch)		 — AUMC_DCM —
PSS011007 HCM was defined as having an ICD-10 code of I42.1 or I42.2, in addition to a mention of “hypertrophic cardiomyopathy,” “hypertrophic obstructive cardiomyopathy,” “HCM,” or “HOCM” — 30,716 individuals,
45.37 % Male samples
 Mean = 57.23 years European — MGBB —
PSS011008 HCM cases were identified by the presence of International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10), billing code I42.1 (hypertrophic obstructive cardiomyopathy) or I42.2 (other hypertrophic cardiomyopathy) — 184,511 individuals,
45.35 % Male samples
 Mean = 56.51 years European — UKB —
PSS009591 — — 26,637 individuals,
0.0 % Male samples
 Mean = 67.04 years
Sd = 19.14 years		 European
(White)		 — eMERGE —
PSS011521 — —
[
  • 755 cases
  • , 346,830 controls
]
,
45.8 % Male samples
 Mean = 69.8 years European — UKB —
PSS000999 All individuals were carriers of a pathogenic or likely pathogenic variant (MYBPC3 truncating variant, MYBPC3 non-truncating variant, MYH7 variant, MYL2 variant, other genetic variant). Cases included individuals who had experienced a clinical event, defined as: time to septal reduction therapy, cardiac transplantation, sustained ventricular arrhythmia, sudden cardiac death, appropriate ICD therapy or atrial fibrillation/flutter. —
[
  • 122 cases
  • , 246 controls
]
 — Not reported — ERSPC —
PSS001000 All individuals were carriers of a pathogenic or likely pathogenic variant (MYBPC3 truncating variant, MYBPC3 non-truncating variant, MYH7 variant, MYL2 variant, other genetic variant). Cases included individuals who had experienced a major ventricular arrhythmia, defined as: time to sustained ventricular arrhythmia, appropriate ICD therapy or sudden cardiac death. —
[
  • 30 cases
  • , 338 controls
]
 — Not reported — ERSPC —
PSS001001 All individuals were carriers of a pathogenic or likely pathogenic variant (MYBPC3 truncating variant, MYBPC3 non-truncating variant, MYH7 variant, MYL2 variant, other genetic variant). The primary outcome of maximal left ventricular wall thickness is defined as maxLVWT indexed to body surface area (BSA) on last available CMR or TTE prior to septal reduction therapy and cardiac transplantation. LVWT from CMR used whenever available unless TTE performed more than 5 years after last CMR. — 322 individuals — Not reported — ERSPC —
PSS001002 All individuals were non-proband carriers of a pathogenic or likely pathogenic variant (MYBPC3 truncating variant, MYBPC3 non-truncating variant, MYH7 variant, MYL2 variant, other genetic variant). Cases included individuals who had experienced a clinical event, defined as: time to septal reduction therapy, cardiac transplantation, sustained ventricular arrhythmia, sudden cardiac death, appropriate ICD therapy or atrial fibrillation/flutter. —
[
  • 33 cases
  • , 181 controls
]
 — Not reported — ERSPC —
PSS001003 All individuals were non-proband carriers of a pathogenic or likely pathogenic variant (MYBPC3 truncating variant, MYBPC3 non-truncating variant, MYH7 variant, MYL2 variant, other genetic variant). The primary outcome of maximal left ventricular wall thickness (maxLVWT) is defined as maxLVWT indexed to body surface area (BSA) on last available CMR or TTE prior to septal reduction therapy and cardiac transplantation. LVWT from CMR used whenever available unless TTE performed more than 5 years after last CMR. — 194 individuals — Not reported — ERSPC —
PSS001004 All individuals were carriers of a pathogenic or likely pathogenic variant (MYBPC3 truncating variant, MYBPC3 non-truncating variant, MYH7 variant, MYL2 variant, other genetic variant). Cases included individuals who had experienced septal reduction therapy, defined as: time to septal myectomy or alcohol septal ablation. —
[
  • 66 cases
  • , 302 controls
]
 — Not reported — ERSPC —
PSS012522 218,D25 —
[
  • 938 cases
  • , 8,479 controls
]
,
0.0 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012523 218,D25 —
[
  • 938 cases
  • , 8,479 controls
]
,
0.0 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS004435 — —
[
  • 88 cases
  • , 7,743 controls
]
 — South Asian — UKB —
PSS012524 218,D25 —
[
  • 938 cases
  • , 8,479 controls
]
,
0.0 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012525 218,D25 —
[
  • 938 cases
  • , 8,479 controls
]
,
0.0 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012526 218,D25 —
[
  • 938 cases
  • , 8,479 controls
]
,
0.0 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —