v2.0.0
Closed Aug 7, 2023
100% complete
- Genetic Ancestry: calculate similarity of target samples to populations to a reference dataset (e.g. 1000 Genomes (1000G)) using principal components analysis (PCA).
- PGS adjustment: Using reference population data and/or PCA projections to report individual-level PGS predictions (e.g. percentiles, z-scores) that account for genetic ancestry.
- Genetic Ancestry: calculate similarity of target samples to populations to a reference dataset (e.g. 1000 Genomes (1000G)) using principal components analysis (PCA).
- PGS adjustment: Using reference population data and/or PCA projections to report individual-level PGS predictions (e.g. percentiles, z-scores) that account for genetic ancestry.