SALAI-Net: species-agnostic local ancestry inference network.

ABSTRACT:

Motivation

Local ancestry inference (LAI) is the high resolution prediction of ancestry labels along a DNA sequence. LAI is important in the study of human history and migrations, and it is beginning to play a role in precision medicine applications including ancestry-adjusted genome-wide association studies (GWASs) and polygenic risk scores (PRSs). Existing LAI models do not generalize well between species, chromosomes or even ancestry groups, requiring re-training for each different setting. Furthermore, such methods can lack interpretability, which is an important element in each of these applications.

Results

We present SALAI-Net, a portable statistical LAI method that can be applied on any set of species and ancestries (species-agnostic), requiring only haplotype data a

SUBMITTER: Oriol Sabat B 

PROVIDER: S-EPMC9486591 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature