Trait: body weight

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004338
Description The mass or quantity of heaviness of an individual. It is expressed by units of pounds or kilograms.
Trait category
Body measurement
Synonym weight
Mapped terms 3 mapped terms
  • MeSH:D001835
  • NCIt:C81328
  • SNOMEDCT:27113001
Child trait(s) birth weight

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 "body weight" 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)
PGS001006
(GBE_BIN_FC1002306)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Weight change compared with 1 year ago body weight,
self-reported trait
2,638
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001006/ScoringFiles/PGS001006.txt.gz
PGS001226
(GBE_INI20022)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Birth weight birth weight 6,278
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001226/ScoringFiles/PGS001226.txt.gz
PGS001230
(GBE_INI21002)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Body weight body weight 31,222
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001230/ScoringFiles/PGS001230.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
PPM007793 PGS001006
(GBE_BIN_FC1002306)
PSS003760|
African Ancestry|
6,079 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Weight change compared with 1 year ago AUROC: 0.62073 [0.60627, 0.63518] PGS R2 (no covariates): 0.00038
: 0.05769
Incremental AUROC (full-covars): -1e-05
PGS AUROC (no covariates): 0.50745 [0.49252, 0.52238]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007794 PGS001006
(GBE_BIN_FC1002306)
PSS003761|
East Asian Ancestry|
1,602 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Weight change compared with 1 year ago AUROC: 0.59942 [0.57137, 0.62747] : 0.04761
Incremental AUROC (full-covars): 0.00968
PGS R2 (no covariates): 0.00719
PGS AUROC (no covariates): 0.53616 [0.5075, 0.56482]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007795 PGS001006
(GBE_BIN_FC1002306)
PSS003762|
European Ancestry|
24,477 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Weight change compared with 1 year ago AUROC: 0.57635 [0.56917, 0.58352] : 0.02324
Incremental AUROC (full-covars): 0.00533
PGS R2 (no covariates): 0.00365
PGS AUROC (no covariates): 0.5289 [0.52165, 0.53616]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007796 PGS001006
(GBE_BIN_FC1002306)
PSS003763|
South Asian Ancestry|
7,281 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Weight change compared with 1 year ago AUROC: 0.60517 [0.59225, 0.61809] : 0.04456
Incremental AUROC (full-covars): -0.00065
PGS R2 (no covariates): 0.00024
PGS AUROC (no covariates): 0.50809 [0.49482, 0.52135]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007797 PGS001006
(GBE_BIN_FC1002306)
PSS003764|
European Ancestry|
66,390 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Weight change compared with 1 year ago AUROC: 0.58453 [0.5802, 0.58886] : 0.02896
Incremental AUROC (full-covars): 0.00463
PGS R2 (no covariates): 0.00376
PGS AUROC (no covariates): 0.5295 [0.5251, 0.5339]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008644 PGS001226
(GBE_INI20022)
PSS004896|
African Ancestry|
1,708 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Birth weight : 0.04004 [0.0307, 0.04937]
Incremental R2 (full-covars): 0.00368
PGS R2 (no covariates): 0.00672 [0.00276, 0.01067]
age, sex, UKB array type, Genotype PCs
PPM008645 PGS001226
(GBE_INI20022)
PSS004897|
East Asian Ancestry|
609 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Birth weight : 0.04464 [0.02551, 0.06377]
Incremental R2 (full-covars): 0.01768
PGS R2 (no covariates): 0.02148 [0.00789, 0.03508]
age, sex, UKB array type, Genotype PCs
PPM008646 PGS001226
(GBE_INI20022)
PSS004898|
European Ancestry|
12,908 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Birth weight : 0.06034 [0.05461, 0.06608]
Incremental R2 (full-covars): 0.02543
PGS R2 (no covariates): 0.02732 [0.02333, 0.03131]
age, sex, UKB array type, Genotype PCs
PPM008647 PGS001226
(GBE_INI20022)
PSS004899|
South Asian Ancestry|
1,908 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Birth weight : 0.04888 [0.03957, 0.05819]
Incremental R2 (full-covars): 0.00482
PGS R2 (no covariates): 0.00796 [0.00404, 0.01188]
age, sex, UKB array type, Genotype PCs
PPM008648 PGS001226
(GBE_INI20022)
PSS004900|
European Ancestry|
39,107 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Birth weight : 0.05162 [0.04837, 0.05488]
Incremental R2 (full-covars): 0.02688
PGS R2 (no covariates): 0.02741 [0.02498, 0.02984]
age, sex, UKB array type, Genotype PCs
PPM008664 PGS001230
(GBE_INI21002)
PSS004916|
African Ancestry|
6,410 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Weight : 0.0617 [0.05037, 0.07303]
Incremental R2 (full-covars): 0.0214
PGS R2 (no covariates): 0.02742 [0.01959, 0.03524]
age, sex, UKB array type, Genotype PCs
PPM008665 PGS001230
(GBE_INI21002)
PSS004917|
East Asian Ancestry|
1,696 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Weight : 0.36447 [0.32811, 0.40083]
Incremental R2 (full-covars): 0.00956
PGS R2 (no covariates): 0.0426 [0.02388, 0.06133]
age, sex, UKB array type, Genotype PCs
PPM008666 PGS001230
(GBE_INI21002)
PSS004918|
European Ancestry|
24,804 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Weight : 0.33164 [0.32208, 0.3412]
Incremental R2 (full-covars): 0.09015
PGS R2 (no covariates): 0.09999 [0.09292, 0.10705]
age, sex, UKB array type, Genotype PCs
PPM008667 PGS001230
(GBE_INI21002)
PSS004919|
South Asian Ancestry|
7,746 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Weight : 0.2472 [0.23063, 0.26377]
Incremental R2 (full-covars): 0.06508
PGS R2 (no covariates): 0.0633 [0.05287, 0.07374]
age, sex, UKB array type, Genotype PCs
PPM008668 PGS001230
(GBE_INI21002)
PSS004920|
European Ancestry|
67,258 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Weight : 0.32007 [0.31426, 0.32588]
Incremental R2 (full-covars): 0.1043
PGS R2 (no covariates): 0.10578 [0.10139, 0.11017]
age, sex, UKB array type, Genotype 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
PSS004896 1,708 individuals African unspecified UKB
PSS004897 609 individuals East Asian UKB
PSS004898 12,908 individuals European non-white British ancestry UKB
PSS004899 1,908 individuals South Asian UKB
PSS004900 39,107 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS004916 6,410 individuals African unspecified UKB
PSS003760
[
  • 3,717 cases
  • , 2,362 controls
]
African unspecified UKB
PSS003761
[
  • 664 cases
  • , 938 controls
]
East Asian UKB
PSS003762
[
  • 10,994 cases
  • , 13,483 controls
]
European non-white British ancestry UKB
PSS003763
[
  • 3,505 cases
  • , 3,776 controls
]
South Asian UKB
PSS003764
[
  • 30,581 cases
  • , 35,809 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004917 1,696 individuals East Asian UKB
PSS004918 24,804 individuals European non-white British ancestry UKB
PSS004919 7,746 individuals South Asian UKB
PSS004920 67,258 individuals European white British ancestry UKB Testing cohort (heldout set)