Predicted Trait | |
Reported Trait | Body mass index (BMI) |
Mapped Trait(s) | body mass index (EFO_0004340) |
Score Construction | |
PGS Name | PRS97_BMI |
Development Method | |
Name | Genome-wide significant variants |
Parameters | NR |
Variants | |
Original Genome Build | NR |
Number of Variants | 97 |
Effect Weight Type | NR |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000278 |
Citation (link to publication) | Dashti HS et al. BMC Med (2022) |
Ancestry Distribution | |
Source of Variant Associations (GWAS) | European: 99.1% Hispanic or Latin American: 0.5% African: 0.4% 238,944 individuals (100%) |
PGS Evaluation | European: 100% 1 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST002783 Europe PMC: 25673413 |
236,781 individuals | European | NR |
GWAS Catalog: GCST002783 Europe PMC: 25673413 |
887 individuals | African American or Afro-Caribbean | NR |
GWAS Catalog: GCST002783 Europe PMC: 25673413 |
1,276 individuals | Hispanic or Latin American | NR |
PGS Performance Metric ID (PPM) |
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 | 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 | — |