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

Genome-wide association studies: theoretical and practical concerns.

Nature reviews. Genetics - 1 Feb 2005

Wang William Y S, Barratt Bryan J, Clayton David G, Todd John A

Abstract excerpt

To fully understand the allelic variation that underlies common diseases, complete genome sequencing for many individuals with and without disease is required. This is still not technically feasible. However, recently it has become possible to carry out partial surveys of the genome by genotyping...

Read the complete abstract on PubMed

Topics

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

Share to Computational Biology
Share to Genetic Predisposition to Disease
Share to Genome

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Linkage Disequilibrium

Share to Models, Genetic

Share to Polymorphism, Single Nucleotide

Share to Sequence Analysis, DNA

Source

Identifiers

PMID: 15716907
DOI: 10.1038/nrg1522

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-15716907-2026-09-02.2. 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

Genome-wide association studies: theoretical and practical concerns.PMID 15716907Read ↗

Chapter 11: Genome-wide association studies.Semantic proximity Read ↗

The allelic architecture of human disease genes: common disease-common variant...or not?Semantic proximity Read ↗

Genome-Wide Association Studies.Semantic proximity Read ↗

Applications of whole-genome high-density SNP genotyping.Semantic proximity Read ↗

Prospects and pitfalls in whole genome association studies.Semantic proximity Read ↗

What can genome-wide association studies tell us about the genetics of common disease?Semantic proximity Read ↗

Prospects for whole-genome linkage disequilibrium mapping of common disease genes.Semantic proximity Read ↗

Accurate estimation of SNP-heritability from biobank-scale data irrespective of genetic architectureSemantic proximity Read ↗

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

How many genetic variants remain to be discovered?Semantic proximity Read ↗

Planning a genome-wide association study: points to consider.Semantic proximity Read ↗

The allelic structure of common disease.Semantic proximity Read ↗

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