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 performance of commercial whole-genome marker sets for capturing common genetic variation.

BMC genomics - 11 Jun 2007

Mägi Reedik, Pfeufer Arne, Nelis Mari, Montpetit Alexandre, Metspalu Andres, Remm Maido

Abstract excerpt

BACKGROUND: New technologies have enabled genome-wide association studies to be conducted with hundreds of thousands of genotyped SNPs. Several different first-generation genome-wide panels of SNPs have been commercialized. The total amount of common genetic variation is still unknown; however, t...

Read the complete abstract on PubMed

Topics

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

Share to Genetic Markers
Share to Genetic Variation
Share to Genomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Polymorphism, Single Nucleotide

Share to Reagent Kits, Diagnostic

Share to Reference Standards

Source

Open in PubMed Open full text

Identifiers

PMID: 17562002
DOI: 10.1186/1471-2164-8-159
PMCID: PMC1914356

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-17562002-2026-09-02.2. Manifest publication-graph-cohort-2026-09-02.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Evaluating the performance of commercial whole-genome marker sets for capturing common genetic variation.PMID 17562002Read ↗

Evaluating and improving power in whole-genome association studies using fixed marker sets.Semantic proximity Read ↗

Large-scale validation of single nucleotide polymorphisms in gene regions.Semantic proximity Read ↗

A method to customize population-specific arrays for genome-wide association testing.Semantic proximity Read ↗

A comparison of cataloged variation between International HapMap Consortium and 1000 Genomes Project data.Semantic proximity Read ↗

An evaluation of the performance of tag SNPs derived from HapMap in a Caucasian population.Semantic proximity Read ↗

Comparison of the performance of two commercial genome-wide association study genotyping platforms in Han Chinese samples.Semantic proximity Read ↗

Power to detect risk alleles using genome-wide tag SNP panels.Semantic proximity Read ↗

Evaluating coverage of genome-wide association studies.Semantic proximity Read ↗

Whole-Genome Genotyping Using DNA Microarrays for Population Genetics.Semantic proximity Read ↗

Next generation genome-wide association tool: design and coverage of a high-throughput European-optimized SNP array.Semantic proximity Read ↗

A Genomics England haplotype reference panel and imputation of UK Biobank.Semantic proximity Read ↗

Use of weighted reference panels based on empirical estimates of ancestry for capturing untyped variation.Semantic proximity Read ↗

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