Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Scaling probabilistic models of genetic variation to millions of humans.

Nature genetics - 1 Dec 2016

Gopalan Prem, Hao Wei, Blei David M, Storey John D

Abstract excerpt

A major goal of population genetics is to quantitatively understand variation of genetic polymorphisms among individuals. The aggregated number of genotyped humans is currently on the order of millions of individuals, and existing methods do not scale to data of this size. To solve this problem, we developed TeraStructure, an algorithm to fit Bayesian models of genetic variation in structured human populations on...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Bayes Theorem
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Disease

Share to Genetic Markers

Share to Genetics, Population

Share to Models, Statistical

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 27819665
DOI: 10.1038/ng.3710
PMCID: PMC5127768

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Scaling probabilistic models of genetic variation to millions of humans.PMID 27819665Read ↗

Scaling probabilistic models of genetic variation to millions of humansSemantic proximity Read ↗

Inferring population structure in biobank-scale genomic dataSemantic proximity Read ↗

Estimating variance components in population scale family treesSemantic 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 ↗

Large-scale genotyping of complex DNA.Semantic proximity Read ↗

Recent advances in the study of fine-scale population structure in humansSemantic proximity Read ↗

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

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

Rare variation facilitates inferences of fine-scale population structure in humans.Semantic proximity Read ↗

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

Perspectives on human population structure at the cusp of the sequencing era.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.