PGS Publication: PGP000349

Publication Information (EuropePMC)
Title Association of Genome-Wide Polygenic Risk Score for Body Mass Index With Cardiometabolic Health From Childhood Through Midlife.
PubMed ID 35675159(Europe PMC)
doi 10.1161/circgen.121.003375
Publication Date June 8, 2022
Journal Circ Genom Precis Med
Author(s) Shi M, Chen W, Sun X, Bazzano LA, He J, Razavi AC, Li C, Qi L, Khera AV, Kelly TN.
Released in PGS Catalog: Aug. 3, 2022

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:
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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

External PGS Evaluated By This Publication

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)
PGS000027
(GPS_BMI)
 PGP000017 |
Khera AV et al. Cell (2019)
 Body mass index (BMI) body mass index 2,100,302
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000027/ScoringFiles/PGS000027.txt.gz - Check Terms/Licenses

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
PPM014877 PGS000027
(GPS_BMI)
 PSS009917|
European Ancestry|
832 individuals
 PGP000349 |
Shi M et al. Circ Genom Precis Med (2022)
|Ext.		 Reported Trait: Body mass index (last completed follow-up visit) — — R²: 0.0729 — —
PPM014878 PGS000027
(GPS_BMI)
 PSS009916|
African Ancestry|
369 individuals
 PGP000349 |
Shi M et al. Circ Genom Precis Med (2022)
|Ext.		 Reported Trait: Body mass index (last completed follow-up visit) — — R²: 0.0256 — —
PPM014880 PGS000027
(GPS_BMI)
 PSS009917|
European Ancestry|
832 individuals
 PGP000349 |
Shi M et al. Circ Genom Precis Med (2022)
|Ext.		 Reported Trait: Fasting plasma glucose (last completed follow-up visit) β: 2.82 (0.87) — — Age, sex, ancestry principal components, and baseline BMI —
PPM014881 PGS000027
(GPS_BMI)
 PSS009917|
European Ancestry|
832 individuals
 PGP000349 |
Shi M et al. Circ Genom Precis Med (2022)
|Ext.		 Reported Trait: Systolic blood pressure (last completed follow-up visit) β: 1.09 (0.52) — — Age, sex, ancestry principal components, and baseline BMI —
PPM014882 PGS000027
(GPS_BMI)
 PSS009917|
European Ancestry|
832 individuals
 PGP000349 |
Shi M et al. Circ Genom Precis Med (2022)
|Ext.		 Reported Trait: Obesity HR: 1.26 [1.14, 1.38] — — Sex, birth year, ancestry principal components, and baseline BMI —
PPM014883 PGS000027
(GPS_BMI)
 PSS009916|
African Ancestry|
369 individuals
 PGP000349 |
Shi M et al. Circ Genom Precis Med (2022)
|Ext.		 Reported Trait: Obesity HR: 1.11 [0.96, 1.38] — — Sex, birth year, ancestry principal components, and baseline BMI —
PPM014879 PGS000027
(GPS_BMI)
 PSS009917|
European Ancestry|
832 individuals
 PGP000349 |
Shi M et al. Circ Genom Precis Med (2022)
|Ext.		 Reported Trait: Body mass index (last completed follow-up visit) β: 1.29 (0.22) — — Age, sex, PCs, PRS, baseline BMI —

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
PSS009917 — — 832 individuals,
45.1 % Male samples
 Mean = 45.4 years European — BHS —
PSS009916 — — 369 individuals,
38.8 % Male samples
 Mean = 44.6 years African unspecified — BHS —