PGS Publication: PGP000132

Publication Information (EuropePMC)
Title Use of genetic variation to separate the effects of early and later life adiposity on disease risk: mendelian randomisation study.
PubMed ID 32376654(Europe PMC)
doi 10.1136/bmj.m1203
Publication Date May 6, 2020
Journal BMJ
Author(s) Richardson TG, Sanderson E, Elsworth B, Tilling K, Davey Smith G.
Released in PGS Catalog: Feb. 3, 2021

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

PGS Developed 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)
PGS000716
(PGS295_elbs)
PGP000132 |
Richardson TG et al. BMJ (2020)
Early life body size body mass index,
comparative body size at age 10, self-reported
295
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000716/ScoringFiles/PGS000716.txt.gz
PGS000717
(PGS557_albs)
PGP000132 |
Richardson TG et al. BMJ (2020)
Adult life body size body mass index 557
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000717/ScoringFiles/PGS000717.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
PPM001633 PGS000716
(PGS295_elbs)
PSS000849|
European Ancestry|
5,898 individuals
PGP000132 |
Richardson TG et al. BMJ (2020)
Reported Trait: Childhood body mass index AUROC: 0.64
PPM001634 PGS000717
(PGS557_albs)
PSS000849|
European Ancestry|
5,898 individuals
PGP000132 |
Richardson TG et al. BMJ (2020)
Reported Trait: Childhood body mass index AUROC: 0.61
PPM001635 PGS000716
(PGS295_elbs)
PSS000847|
European Ancestry|
3,997 individuals
PGP000132 |
Richardson TG et al. BMJ (2020)
Reported Trait: Adolescent body mass index AUROC: 0.63
PPM001636 PGS000717
(PGS557_albs)
PSS000847|
European Ancestry|
3,997 individuals
PGP000132 |
Richardson TG et al. BMJ (2020)
Reported Trait: Adolescent body mass index AUROC: 0.63
PPM001637 PGS000716
(PGS295_elbs)
PSS000848|
European Ancestry|
2,199 individuals
PGP000132 |
Richardson TG et al. BMJ (2020)
Reported Trait: Adult body mass index AUROC: 0.57
PPM001638 PGS000717
(PGS557_albs)
PSS000848|
European Ancestry|
2,199 individuals
PGP000132 |
Richardson TG et al. BMJ (2020)
Reported Trait: Adult body mass index AUROC: 0.6

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
PSS000847 Measurs of BMI were dichotomised to classify individuals higher than th 85th centiles as overweight. 3,997 individuals Mean = 17.8 years European ALSPAC ALSPAC offspring
PSS000848 Measurs of BMI were dichotomised to classify individuals higher than th 85th centiles as overweight. 2,199 individuals,
0.0 % Male samples
Mean = 50.8 years European ALSPAC ALSPAC mothers
PSS000849 Measurs of BMI were dichotomised to classify individuals higher than th 85th centiles as overweight. 5,898 individuals Mean = 9.9 years European ALSPAC ALSPAC offspring