Article

Scaling probabilistic models of genetic variation to millions of humans

2014-12-24

Abstract excerpt

One of the major goals of population genetics is to quantitatively understand variation of genetic polymorphisms among individuals. To this end, researchers have developed sophisticated statistical methods to capture the complex population structure that underlies observed genotypes in humans, and such methods have been effective for analyzing modestly sized genomic data sets. However, the number of genotyped huma...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 296d7bd4-ed6e-5914-95c4-7b0e7497805b
DOI: 10.1101/013227

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Scaling probabilistic models of genetic variation to millions of humansDOI 10.1101/013227Read

Scaling probabilistic models of genetic variation to millions of humans.Semantic proximity Read

Estimating variance components in population scale family treesSemantic proximity Read

Inferring population structure in biobank-scale genomic dataSemantic proximity Read

Probabilistic models of genetic variation in structured populations applied to global human studies.Semantic proximity Read

A hierarchical Bayesian model for next-generation population genomics.Semantic proximity Read

Recent advances in the study of fine-scale population structure in humans.Semantic proximity Read

Simple models of genomic variation in human SNP density.Semantic proximity Read

Leveraging ancestral recombination graphs for scalable mixed-model analysis of complex traits.Semantic proximity Read

Scalable probabilistic PCA for large-scale genetic variation data.Semantic proximity Read

Explosive genetic evidence for explosive human population growth.Semantic proximity Read

Fine population structure analysis method for genomes of many.Semantic proximity Read

A fast and flexible statistical model for large-scale population genotype data: applications to inferring missing genotypes and haplotypic phase.Semantic proximity Read