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

Enhanced localization of genetic samples through linkage-disequilibrium correction.

American journal of human genetics - 6 Jun 2013

Baran Yael, Quintela Inés, Carracedo Angel, Pasaniuc Bogdan, Halperin Eran

Abstract excerpt

Characterizing the spatial patterns of genetic diversity in human populations has a wide range of applications, from detecting genetic mutations associated with disease to inferring human history. Current approaches, including the widely used principal-component analysis, are not suited for the analysis of linked markers, and local and long-range linkage disequilibrium (LD) can dramatically reduce the accuracy of...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Genetics, Population
Share to Genome, Human

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Linkage Disequilibrium

Share to Phylogeography

Share to Principal Component Analysis

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 23726367
DOI: 10.1016/j.ajhg.2013.04.023
PMCID: PMC3675263

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Enhanced localization of genetic samples through linkage-disequilibrium correction.PMID 23726367Read ↗

A spatial probit model for fine-scale mapping of disease genes.Semantic proximity Read ↗

Tracing sub-structure in the European American population with PCA-informative markers.Semantic proximity Read ↗

Novel probabilistic models of spatial genetic ancestry with applications to stratification correction in genome-wide association studies.Semantic proximity Read ↗

A Note on the Relations Between Spatio-Genetic Models.Semantic proximity Read ↗

A fast linkage method for population GWAS cohorts with related individuals.Semantic proximity Read ↗

Spatial localization of recent ancestors for admixed individuals.Semantic proximity Read ↗

Spatial localization of recent ancestors for admixed individualsSemantic proximity Read ↗

KLFDAPC: a supervised machine learning approach for spatial genetic structure analysis.Semantic proximity Read ↗

Adjusting for principal components can induce spurious associations in genome-wide association studies in admixed populationsSemantic proximity Read ↗

PCAdmix: principal components-based assignment of ancestry along each chromosome in individuals with admixed ancestry from two or more populations.Semantic proximity Read ↗

A spectral component approach leveraging identity-by-descent graphs to address recent population structure in genomic analysis.Semantic proximity Read ↗

A model-based approach for analysis of spatial structure in genetic data.Semantic proximity Read ↗

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