Trait: carbohydrate intake measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0010811
Description Quantification of the carbohydrate intake of an individual.
Trait category
Other measurement
Synonym carbohydrate consumption measurement
Mapped term PMID:32393786

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
GWAS
Dev
Eval
 Scoring File (FTP Link)
PGS000978
(GBE_INI1438)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Bread intake carbohydrate intake measurement 3,483
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000978/ScoringFiles/PGS000978.txt.gz
PGS004221
(PRS8_carbohydrate)
 PGP000521 |
Merino J et al. Mol Psychiatry (2023)
 Carbohydrate preference carbohydrate intake measurement 8
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004221/ScoringFiles/PGS004221.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
PPM007683 PGS000978
(GBE_INI1438)
 PSS004841|
African Ancestry|
5,979 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Bread intake — — R²: 0.08606 [0.07303, 0.09909]
Incremental R2 (full-covars): -0.00106
PGS R2 (no covariates): 0.00083 [-0.00057, 0.00223]		 age, sex, UKB array type, Genotype PCs —
PPM007684 PGS000978
(GBE_INI1438)
 PSS004842|
East Asian Ancestry|
1,557 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Bread intake — — R²: 0.04803 [0.02826, 0.0678]
Incremental R2 (full-covars): -0.00683
PGS R2 (no covariates): 1e-05 [-0.00021, 0.00022]		 age, sex, UKB array type, Genotype PCs —
PPM007685 PGS000978
(GBE_INI1438)
 PSS004843|
European Ancestry|
24,277 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Bread intake — — R²: 0.09076 [0.08395, 0.09756]
Incremental R2 (full-covars): 0.00266
PGS R2 (no covariates): 0.0026 [0.00134, 0.00386]		 age, sex, UKB array type, Genotype PCs —
PPM007686 PGS000978
(GBE_INI1438)
 PSS004844|
South Asian Ancestry|
7,412 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Bread intake — — R²: 0.05893 [0.04882, 0.06905]
Incremental R2 (full-covars): -0.00378
PGS R2 (no covariates): 0.00041 [-0.00049, 0.0013]		 age, sex, UKB array type, Genotype PCs —
PPM007687 PGS000978
(GBE_INI1438)
 PSS004845|
European Ancestry|
66,112 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Bread intake — — R²: 0.09655 [0.09231, 0.10079]
Incremental R2 (full-covars): 0.00312
PGS R2 (no covariates): 0.0033 [0.00243, 0.00416]		 age, sex, UKB array type, Genotype PCs —
PPM020156 PGS004221
(PRS8_carbohydrate)
 PSS011297|
European Ancestry|
397 individuals
 PGP000521 |
Merino J et al. Mol Psychiatry (2023)
 Reported Trait: Number of 'green' beverages purchased per month β: 1.1 [0.3, 1.9] — — age, sex, education level (high school/some college, college degree, graduate degree), job type (administrative/service, craft/technicians, management/professionals, MDs/PhDs), BMI (18.5-24.9 kg/m2, 25.0-29.9 kg/m2, and ≥30 kg/m2), current smoking status (yes, no), and physical activity (categorized into low, intermediate, and high physical activity level) —
PPM020154 PGS004221
(PRS8_carbohydrate)
 PSS011297|
European Ancestry|
397 individuals
 PGP000521 |
Merino J et al. Mol Psychiatry (2023)
 Reported Trait: Total workplace purchases per month β: 2.3 [0.2, 4.3] — — age, sex, education level (high school/some college, college degree, graduate degree), job type (administrative/service, craft/technicians, management/professionals, MDs/PhDs), BMI (18.5-24.9 kg/m2, 25.0-29.9 kg/m2, and ≥30 kg/m2), current smoking status (yes, no), and physical activity (categorized into low, intermediate, and high physical activity level) —
PPM020155 PGS004221
(PRS8_carbohydrate)
 PSS011297|
European Ancestry|
397 individuals
 PGP000521 |
Merino J et al. Mol Psychiatry (2023)
 Reported Trait: Number of 'green' items purchased per month β: 1.9 [0.5, 3.3] — — age, sex, education level (high school/some college, college degree, graduate degree), job type (administrative/service, craft/technicians, management/professionals, MDs/PhDs), BMI (18.5-24.9 kg/m2, 25.0-29.9 kg/m2, and ≥30 kg/m2), current smoking status (yes, no), and physical activity (categorized into low, intermediate, and high physical activity level) —

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
PSS011297 — — 397 individuals,
19.1 % Male samples
 — European — ChooseWell 365 —
PSS004841 — — 5,979 individuals — African unspecified — UKB —
PSS004842 — — 1,557 individuals — East Asian — UKB —
PSS004843 — — 24,277 individuals — European non-white British ancestry UKB —
PSS004844 — — 7,412 individuals — South Asian — UKB —
PSS004845 — — 66,112 individuals — European white British ancestry UKB Testing cohort (heldout set)