In addition to the genetic data, WLS makes certain polygenic scores freely available. LINK
What is a polygenic score?
A polygenic score collapses the effects of genetic variants across the entire genome into a single quantitative measure of genetic risk for a chosen phenotype. Polygenic scores use effect sizes from genome-wide association studies (GWAS) for that phenotype as weights. The predictive power of polygenic scores increases with the sample size of the underlying GWAS.
Population stratification can bias the estimated association between the outcome of interest and the polygenic score. This will happen when there are differences in the distribution of the score across ancestry groups. Controlling for either the top 5 or top 10 principal components of the covariance matrix of the individuals’ genotypic data is a common way to account for population stratification. For that reason all scores found on this page are accompanied by principal components. However, since principal components can reveal fine grain ancestry, they have been randomly shuffled in sets of 5. Users must either include principal components 1-5 or 1-10 in their analysis to control for population stratification.
Polygenic Index Repository (version 1.1)
Source study: “Resource Profile and User Guide of the Polygenic Index Repository” LINK
Documentation (PDF) — Polygenic Index Repository User Guide
Documentation (TXT) — Phenotypes in Repository
Educational attainment, cognitive performance and math-related scores
Source study: “Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals” LINK
Documentation (PDF) — Lee_et_al_(2018)_PGS_WLS.pdf
Depression, subjective well-being and neuroticism scores
Source study: “Multi-trait analysis of genome-wide association summary statistics using MTAG” LINK
Documentation (PDF) — Turley_et_al_(2018)_PGS_WLS.pdf