Publication Information (EuropePMC) | |
Title | Interaction of obesity polygenic score with lifestyle risk factors in an electronic health record biobank. |
PubMed ID | 35016652(Europe PMC) |
doi | 10.1186/s12916-021-02198-9 |
Publication Date | Jan. 12, 2022 |
Journal | BMC Med |
Author(s) | Dashti HS, Miranda N, Cade BE, Huang T, Redline S, Karlson EW, Saxena R. |
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) |
---|---|---|---|---|---|---|
PGS002251 (PRS97_BMI) |
PGP000278 | Dashti HS et al. BMC Med (2022) |
Body mass index (BMI) | body mass index | 97 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002251/ScoringFiles/PGS002251.txt.gz |
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 |
---|---|---|---|---|---|---|---|---|---|
PPM012804 | PGS002251 (PRS97_BMI) |
PSS009565| European Ancestry| 33,511 individuals |
PGP000278 | Dashti HS et al. BMC Med (2022) |
Reported Trait: Body mass index | β: 0.83 [0.76, 0.9] | — | — | age, sex, genotyping array, and 5 PCs of ancestry | beta unit kg/m2 |
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 |
---|---|---|---|---|---|---|---|---|
PSS009565 | Clinically measured BMI | — | 33,511 individuals, 46.9 % Male samples |
Mean = 60.2 years Sd = 16.9 years |
European | — | MGBB | — |