Population stratification using a statistical model on hypergraphs
Abstract
Population stratification is a problem encountered in several areas of biology and public health. We tackle this problem by mapping a population and its elements attributes into a hypergraph, a natural extension of the concept of graph or network to encode associations among any number of elements. On this hypergraph, we construct a statistical model reflecting our intuition about how the elements attributes can emerge from a postulated population structure. Finally, we introduce the concept of stratification representativeness as a mean to identify the simplest stratification already containing most of the information about the population structure. We demonstrate the power of this framework stratifying an animal and a human population based on phenotypic and genotypic properties, respectively.
Keywords
Cite
@article{arxiv.0712.1365,
title = {Population stratification using a statistical model on hypergraphs},
author = {Alexei Vazquez},
journal= {arXiv preprint arXiv:0712.1365},
year = {2009}
}
Comments
7 pages, 6 figures