Trait: base metabolic rate measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0007777
Description quantification of an individual's base metabolic rate, the minimum amount of energy required to sustain life while at complete rest, including the body being in a post-absorptive state (ie the digestive system is inactive). BMR differs from RMR because BMR measurements must meet total physiological equilibrium whereas RMR conditions of measurement can be altered and defined by the contextual limitations.
Trait category
Other measurement
Synonyms 2 synonyms
  • BMR measurement
  • basal metabolic rate measurement

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 Scoring File (FTP Link)
PGS001108
(GBE_INI23105)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Basal metabolic rate base metabolic rate measurement 32,154
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001108/ScoringFiles/PGS001108.txt.gz
PGS003903
(INI23105)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Basal metabolic rate base metabolic rate measurement 46,752
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003903/ScoringFiles/PGS003903.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
PPM008279 PGS001108
(GBE_INI23105)
PSS005056|
African Ancestry|
6,305 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Basal metabolic rate : 0.48988 [0.47253, 0.50723]
Incremental R2 (full-covars): 0.0123
PGS R2 (no covariates): 0.02112 [0.01421, 0.02804]
age, sex, UKB array type, Genotype PCs
PPM008280 PGS001108
(GBE_INI23105)
PSS005057|
East Asian Ancestry|
1,680 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Basal metabolic rate : 0.69641 [0.6724, 0.72042]
Incremental R2 (full-covars): 0.00563
PGS R2 (no covariates): 0.02063 [0.0073, 0.03395]
age, sex, UKB array type, Genotype PCs
PPM008281 PGS001108
(GBE_INI23105)
PSS005058|
European Ancestry|
24,466 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Basal metabolic rate : 0.68913 [0.68272, 0.69554]
Incremental R2 (full-covars): 0.0528
PGS R2 (no covariates): 0.05431 [0.04883, 0.05978]
age, sex, UKB array type, Genotype PCs
PPM008282 PGS001108
(GBE_INI23105)
PSS005059|
South Asian Ancestry|
7,649 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Basal metabolic rate : 0.6137 [0.60031, 0.6271]
Incremental R2 (full-covars): 0.04025
PGS R2 (no covariates): 0.03213 [0.02445, 0.03981]
age, sex, UKB array type, Genotype PCs
PPM008283 PGS001108
(GBE_INI23105)
PSS005060|
European Ancestry|
66,261 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Basal metabolic rate : 0.68963 [0.68574, 0.69352]
Incremental R2 (full-covars): 0.06041
PGS R2 (no covariates): 0.05937 [0.05591, 0.06283]
age, sex, UKB array type, Genotype PCs
PPM018834 PGS003903
(INI23105)
PSS011150|
European Ancestry|
66,614 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Basal metabolic rate : 0.69265 [0.6888, 0.6965]
PGS R2 (no covariates): 0.06299 [0.05945, 0.06653]
Incremental R2 (full-covars): 0.06291
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM018835 PGS003903
(INI23105)
PSS011105|
European Ancestry|
2,837 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Basal metabolic rate : 0.69082 [0.67211, 0.70952]
PGS R2 (no covariates): 0.07645 [0.05787, 0.09503]
Incremental R2 (full-covars): 0.06748
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM018836 PGS003903
(INI23105)
PSS011118|
South Asian Ancestry|
1,457 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Basal metabolic rate : 0.61405 [0.58337, 0.64472]
PGS R2 (no covariates): 0.0388 [0.0196, 0.058]
Incremental R2 (full-covars): 0.05332
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM018837 PGS003903
(INI23105)
PSS011158|
African Ancestry|
1,169 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Basal metabolic rate : 0.47014 [0.42937, 0.51091]
PGS R2 (no covariates): 0.00888 [-0.0016, 0.01937]
Incremental R2 (full-covars): 0.00406
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM018838 PGS003903
(INI23105)
PSS011177|
Multi-ancestry (excluding European)|
7,841 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Basal metabolic rate : 0.682 [0.67051, 0.6935]
PGS R2 (no covariates): 0.05111 [0.04171, 0.0605]
Incremental R2 (full-covars): 0.04633
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)

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
PSS005056 6,305 individuals African unspecified UKB
PSS005057 1,680 individuals East Asian UKB
PSS005058 24,466 individuals European non-white British ancestry UKB
PSS005059 7,649 individuals South Asian UKB
PSS005060 66,261 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS011177 7,841 individuals East Asian, Other admixed ancestry East Asian, Other admixed ancestry UKB
PSS011150 66,614 individuals European
(white British ancestry)
UKB
PSS011118 1,457 individuals South Asian UKB
PSS011158 1,169 individuals African unspecified UKB
PSS011105 2,837 individuals European
(non-white British ancestry)
UKB