Trait: bone fracture

Experimental Factor Ontology (EFO) Information
Identifier EFO_0003931
Description Breaks in bones. [MESH: D050723]
Trait category
Other disease
Synonyms 11 synonyms
  • Bone Fractures
  • Bone, Broken
  • Bones, Broken
  • Broken Bone
  • Broken Bones
  • Fracture, Bone
  • Fractures, Bone
  • bone fracture
  • fracture
  • fracture of bone
  • fracture(s)
Mapped terms 8 mapped terms
  • ICD10:S42
  • ICD10:S52
  • ICD10:S92
  • MESH:D050723
  • MONDO:0005315
  • MeSH:D050723
  • NCIT:C3046
  • SCTID:125605004
Child trait(s) 2 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 all PGS for "bone fracture" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS001026
(GBE_HC83)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Forearm or wrist fracture upper extremity fracture 45
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001026/ScoringFiles/PGS001026.txt.gz
PGS001258
(GBE_HC57)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Radius fracture radius fracture 365
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001258/ScoringFiles/PGS001258.txt.gz
PGS001921
(portability-PLR_fracture_5y)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Fractured/broken bones in last 5 years bone fracture 7,965
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001921/ScoringFiles/PGS001921.txt.gz
PGS002137
(portability-ldpred2_fracture_5y)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Fractured/broken bones in last 5 years bone fracture 738,021
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002137/ScoringFiles/PGS002137.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
PPM007893 PGS001026
(GBE_HC83)
PSS004647|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Fracture forearm / wrist AUROC: 0.57316 [0.48864, 0.65768] : 0.01719
Incremental AUROC (full-covars): 0.0117
PGS R2 (no covariates): 0.00036
PGS AUROC (no covariates): 0.49899 [0.40484, 0.59313]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007894 PGS001026
(GBE_HC83)
PSS004648|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Fracture forearm / wrist AUROC: 0.75931 [0.65302, 0.8656] : 0.07041
Incremental AUROC (full-covars): 0.00842
PGS R2 (no covariates): 0.0034
PGS AUROC (no covariates): 0.56595 [0.41049, 0.72141]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007895 PGS001026
(GBE_HC83)
PSS004649|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Fracture forearm / wrist AUROC: 0.61781 [0.5913, 0.64433] : 0.01996
Incremental AUROC (full-covars): 0.00765
PGS R2 (no covariates): 0.00371
PGS AUROC (no covariates): 0.55337 [0.52778, 0.57896]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007896 PGS001026
(GBE_HC83)
PSS004650|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Fracture forearm / wrist AUROC: 0.60309 [0.54059, 0.6656] : 0.01453
Incremental AUROC (full-covars): -0.01824
PGS R2 (no covariates): 0.00052
PGS AUROC (no covariates): 0.48161 [0.4179, 0.54533]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007897 PGS001026
(GBE_HC83)
PSS004651|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Fracture forearm / wrist AUROC: 0.61632 [0.60022, 0.63241] : 0.01772
Incremental AUROC (full-covars): 0.00729
PGS R2 (no covariates): 0.0027
PGS AUROC (no covariates): 0.54479 [0.52931, 0.56027]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008795 PGS001258
(GBE_HC57)
PSS004531|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Fracture radius AUROC: 0.59097 [0.4568, 0.72514] : 0.0357
Incremental AUROC (full-covars): -0.02062
PGS R2 (no covariates): 0.00743
PGS AUROC (no covariates): 0.40578 [0.24928, 0.56228]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008796 PGS001258
(GBE_HC57)
PSS004532|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Fracture radius AUROC: 0.76104 [0.63028, 0.8918] : 0.07491
Incremental AUROC (full-covars): 0.01558
PGS R2 (no covariates): 0.00161
PGS AUROC (no covariates): 0.53524 [0.32644, 0.74404]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008797 PGS001258
(GBE_HC57)
PSS004533|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Fracture radius AUROC: 0.64808 [0.61916, 0.67701] : 0.03028
Incremental AUROC (full-covars): 0.0032
PGS R2 (no covariates): 0.00384
PGS AUROC (no covariates): 0.55216 [0.52295, 0.58137]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008798 PGS001258
(GBE_HC57)
PSS004534|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Fracture radius AUROC: 0.66735 [0.59592, 0.73878] : 0.03501
Incremental AUROC (full-covars): -0.00475
PGS R2 (no covariates): 0.00103
PGS AUROC (no covariates): 0.52544 [0.45652, 0.59436]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008799 PGS001258
(GBE_HC57)
PSS004535|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Fracture radius AUROC: 0.64876 [0.63106, 0.66645] : 0.02773
Incremental AUROC (full-covars): 0.00901
PGS R2 (no covariates): 0.00379
PGS AUROC (no covariates): 0.55608 [0.53855, 0.57362]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM010247 PGS001921
(portability-PLR_fracture_5y)
PSS009408|
European Ancestry|
19,908 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Fractured/broken bones in last 5 years Partial Correlation (partial-r): 0.0619 [0.048, 0.0757] sex, age, birth date, deprivation index, 16 PCs
PPM010248 PGS001921
(portability-PLR_fracture_5y)
PSS009182|
European Ancestry|
4,090 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Fractured/broken bones in last 5 years Partial Correlation (partial-r): 0.0308 [0.0, 0.0614] sex, age, birth date, deprivation index, 16 PCs
PPM010249 PGS001921
(portability-PLR_fracture_5y)
PSS008736|
European Ancestry|
6,601 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Fractured/broken bones in last 5 years Partial Correlation (partial-r): 0.0415 [0.0173, 0.0656] sex, age, birth date, deprivation index, 16 PCs
PPM010250 PGS001921
(portability-PLR_fracture_5y)
PSS008510|
Greater Middle Eastern Ancestry|
1,135 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Fractured/broken bones in last 5 years Partial Correlation (partial-r): 0.0646 [0.0059, 0.1229] sex, age, birth date, deprivation index, 16 PCs
PPM010251 PGS001921
(portability-PLR_fracture_5y)
PSS008288|
South Asian Ancestry|
6,146 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Fractured/broken bones in last 5 years Partial Correlation (partial-r): 0.0371 [0.0121, 0.0621] sex, age, birth date, deprivation index, 16 PCs
PPM010252 PGS001921
(portability-PLR_fracture_5y)
PSS008065|
East Asian Ancestry|
1,778 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Fractured/broken bones in last 5 years Partial Correlation (partial-r): 0.0298 [-0.017, 0.0764] sex, age, birth date, deprivation index, 16 PCs
PPM010253 PGS001921
(portability-PLR_fracture_5y)
PSS007852|
African Ancestry|
2,435 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Fractured/broken bones in last 5 years Partial Correlation (partial-r): 0.0143 [-0.0256, 0.0542] sex, age, birth date, deprivation index, 16 PCs
PPM010254 PGS001921
(portability-PLR_fracture_5y)
PSS008956|
African Ancestry|
3,821 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Fractured/broken bones in last 5 years Partial Correlation (partial-r): -0.0077 [-0.0395, 0.0241] sex, age, birth date, deprivation index, 16 PCs
PPM011947 PGS002137
(portability-ldpred2_fracture_5y)
PSS009408|
European Ancestry|
19,908 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Fractured/broken bones in last 5 years Partial Correlation (partial-r): 0.0679 [0.0541, 0.0818] sex, age, birth date, deprivation index, 16 PCs
PPM011948 PGS002137
(portability-ldpred2_fracture_5y)
PSS009182|
European Ancestry|
4,090 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Fractured/broken bones in last 5 years Partial Correlation (partial-r): 0.0393 [0.0085, 0.0699] sex, age, birth date, deprivation index, 16 PCs
PPM011949 PGS002137
(portability-ldpred2_fracture_5y)
PSS008736|
European Ancestry|
6,601 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Fractured/broken bones in last 5 years Partial Correlation (partial-r): 0.0452 [0.0211, 0.0693] sex, age, birth date, deprivation index, 16 PCs
PPM011950 PGS002137
(portability-ldpred2_fracture_5y)
PSS008510|
Greater Middle Eastern Ancestry|
1,135 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Fractured/broken bones in last 5 years Partial Correlation (partial-r): 0.0645 [0.0059, 0.1228] sex, age, birth date, deprivation index, 16 PCs
PPM011951 PGS002137
(portability-ldpred2_fracture_5y)
PSS008288|
South Asian Ancestry|
6,146 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Fractured/broken bones in last 5 years Partial Correlation (partial-r): 0.0394 [0.0144, 0.0644] sex, age, birth date, deprivation index, 16 PCs
PPM011952 PGS002137
(portability-ldpred2_fracture_5y)
PSS008065|
East Asian Ancestry|
1,778 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Fractured/broken bones in last 5 years Partial Correlation (partial-r): 0.0126 [-0.0341, 0.0594] sex, age, birth date, deprivation index, 16 PCs
PPM011953 PGS002137
(portability-ldpred2_fracture_5y)
PSS007852|
African Ancestry|
2,435 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Fractured/broken bones in last 5 years Partial Correlation (partial-r): 0.0112 [-0.0287, 0.051] sex, age, birth date, deprivation index, 16 PCs
PPM011954 PGS002137
(portability-ldpred2_fracture_5y)
PSS008956|
African Ancestry|
3,821 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Fractured/broken bones in last 5 years Partial Correlation (partial-r): -0.0138 [-0.0455, 0.018] sex, age, birth date, deprivation index, 16 PCs

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
PSS009182 4,090 individuals European Poland (NE Europe) UKB
PSS007852 2,435 individuals African American or Afro-Caribbean Carribean UKB
PSS004647
[
  • 34 cases
  • , 6,463 controls
]
African unspecified UKB
PSS004648
[
  • 12 cases
  • , 1,692 controls
]
East Asian UKB
PSS004649
[
  • 490 cases
  • , 24,415 controls
]
European non-white British ancestry UKB
PSS004650
[
  • 82 cases
  • , 7,749 controls
]
South Asian UKB
PSS004651
[
  • 1,349 cases
  • , 66,076 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS008510 1,135 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008288 6,146 individuals South Asian India (South Asia) UKB
PSS008956 3,821 individuals African unspecified Nigeria (West Africa) UKB
PSS004531
[
  • 15 cases
  • , 6,482 controls
]
African unspecified UKB
PSS004532
[
  • 10 cases
  • , 1,694 controls
]
East Asian UKB
PSS004533
[
  • 375 cases
  • , 24,530 controls
]
European non-white British ancestry UKB
PSS004534
[
  • 61 cases
  • , 7,770 controls
]
South Asian UKB
PSS004535
[
  • 1,022 cases
  • , 66,403 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS009408 19,908 individuals European UK (+ Ireland) UKB
PSS008065 1,778 individuals East Asian China (East Asia) UKB
PSS008736 6,601 individuals European Italy (South Europe) UKB