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

Evaluating the coverage and potential of imputing the exome microarray with next-generation imputation using the 1000 Genomes Project.

PloS one - 1 Jan 2014

Tantoso Erwin, Wong Lai-Ping, Li Bowen, Saw Woei-Yuh, Xu Wenting, Little Peter, Ong Rick Twee-Hee, Teo Yik-Ying

Abstract excerpt

Next-generation genotyping microarrays have been designed with insights from large-scale sequencing of exomes and whole genomes. The exome genotyping arrays promise to query the functional regions of the human genome at a fraction of the sequencing cost, thus allowing large number of samples to be genotyped. However, two pertinent questions exist: firstly, how representative is the content of the exome chip for...

Read the complete abstract on PubMed

Topics

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

Share to Asian People
Share to Exome

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome, Human

Share to Genome-Wide Association Study

Share to Genomics

Share to Genotyping Techniques

Share to Oligonucleotide Array Sequence Analysis

Source

Open in PubMed Open full text

Identifiers

PMID: 25203698
DOI: 10.1371/journal.pone.0106681
PMCID: PMC4159276

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

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

Evaluating the coverage and potential of imputing the exome microarray with next-generation imputation using the 1000 Genomes Project.PMID 25203698Read ↗

Imputation-based assessment of next generation rare exome variant arrays.Semantic proximity Read ↗

Yield of genetic association signals from genomes, exomes and imputation in the UK Biobank.Semantic proximity Read ↗

Imputation-Based Genomic Coverage Assessments of Current Genotyping Arrays: <i>Illumina HumanCore, OmniExpress, Multi-Ethnic global array and sub-arrays, Global Screening Array, Omni2.5M, Omni5M, and Affymetrix UK Biobank</i>Semantic proximity Read ↗

Effect of genome-wide genotyping and reference panels on rare variants imputation.Semantic proximity Read ↗

Applications of the 1000 Genomes Project resources.Semantic proximity Read ↗

Improved imputation accuracy of rare and low-frequency variants using population-specific high-coverage WGS-based imputation reference panel.Semantic proximity Read ↗

Imputation and polygenic score performance of low coverage whole-genome sequencing and genotyping arrays in diverse human populationsSemantic proximity Read ↗

Integrating sequence and array data to create an improved 1000 Genomes Project haplotype reference panel.Semantic proximity Read ↗

Extent to which array genotyping and imputation with large reference panels approximate deep whole-genome sequencing.Semantic proximity Read ↗

Accurate multi-population imputation of MICA, MICB, HLA-E, HLA-F and HLA-G alleles from genome SNP data.Semantic proximity Read ↗

A new strategy for enhancing imputation quality of rare variants from next-generation sequencing data via combining SNP and exome chip data.Semantic proximity Read ↗

Sequencing and Imputation in GWAS: Cost-Effective Strategies to Increase Power and Genomic Coverage Across Diverse PopulationsSemantic proximity Read ↗

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