GemTools: A fast and efficient approach to estimating genetic ancestry

TL;DR

GemTools offers a fast, scalable method for estimating genetic ancestry from SNP data by creating eigenmaps and clustering individuals, aiding in genetic association studies.

Contribution

It introduces an efficient algorithm that constructs eigenmaps and iteratively clusters individuals to accurately model genetic ancestry.

Findings

Reduces computational time for ancestry estimation

Improves accuracy of genetic clustering

Facilitates matching cases and controls in association studies

Abstract

To uncover the genetic basis of complex disease, individuals are often measured at a large number of genetic variants (usually SNPs) across the genome. GemTools provides computationally efficient tools for modeling genetic ancestry based on SNP genotypes. The main algorithm creates an eigenmap based on genetic similarities, and then clusters subjects based on their map position. This process is continued iteratively until each cluster is relatively homogeneous. For genetic association studies, GemTools matches cases and controls based on genetic similarity.