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

Gearing up for genome-wide gene-association studies.

Human molecular genetics - 15 Oct 2005

Farrall Martin, Morris Andrew P

Abstract excerpt

One of the grand challenges of human genetics to systematically map by gene-association susceptibility genes for complex diseases is underway. High-throughput genotyping platforms have been developed; a comprehensive map of human genetic variation (HapMap) to guide efficient marker selection is imminent and many researchers have assembled suitable cohorts of patients. Expectations are understandably high and it...

Read the complete abstract on PubMed

Topics

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

Share to Chromosome Mapping
Share to Genetic Linkage
Share to Genetic Predisposition to Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome, Human

Share to Genotype

Share to Research Design

Share to Statistics as Topic

Source

Identifiers

PMID: 16244314
DOI: 10.1093/hmg/ddi273

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

Gearing up for genome-wide gene-association studies.PMID 16244314Read ↗

Progress and challenges in genome-wide association studies in humans.Semantic proximity Read ↗

[Genome-wide association studies: recent advances and future directions].Semantic proximity Read ↗

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

Validating, augmenting and refining genome-wide association signals.Semantic proximity Read ↗

Increasing mapping precision of genome-wide association studies: to genotype and impute, sequence, or both?Semantic proximity Read ↗

Are genome-wide association studies all that we need to dissect the genetic component of complex human diseases?Semantic proximity Read ↗

The road to genome-wide association studies.Semantic proximity Read ↗

Strategies for fine-mapping complex traits.Semantic proximity Read ↗

Genome-wide association studies: theoretical and practical concerns.Semantic proximity Read ↗

Finding genes influencing susceptibility to complex diseases in the post-genome era.Semantic proximity Read ↗

In this issue: entering the era of high-density genome-wide association studies.Semantic proximity Read ↗

Finding genes underlying human disease.Semantic proximity Read ↗

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