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

Search for cancer risk factors with microarray-based genome-wide association studies.

Technology in cancer research & treatment - 1 Apr 2010

Zhang Lina, Zhang Wei, Chen Kexin

Abstract excerpt

Large-scale genome-wide association studies (GWASs) have emerged as a powerful approach to identify genetic polymorphisms that are associated with risk of developing cancer and other complex diseases. Currently, microarrays are the genotype screening technology of choice in GWASs because they permit interrogation of more than one-million single-nucleotide polymorphisms (SNPs) at the same time. Many novel loci and...

Read the complete abstract on PubMed

Topics

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

Share to Gene Expression Profiling
Share to Genetic Predisposition to Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Neoplasms

Share to Polymorphism, Single Nucleotide

Share to Risk Factors

Source

Identifiers

PMID: 20218734
DOI: 10.1177/153303461000900201

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Search for cancer risk factors with microarray-based genome-wide association studies.PMID 20218734Read ↗

Microarray technology and applications in the arena of genome-wide association.Semantic proximity Read ↗

Lessons from postgenome-wide association studies: functional analysis of cancer predisposition loci.Semantic proximity Read ↗

Genome-wide association studies of cancer.Semantic proximity Read ↗

Genome-wide association studies of cancer: principles and potential utility.Semantic proximity Read ↗

Genome-wide association studies of cancer.Semantic proximity Read ↗

Genome-wide association studies in cancer--current and future directions.Semantic proximity Read ↗

Genome-wide association studies in cancer.Semantic proximity Read ↗

Current status of genome-wide association studies in cancer.Semantic proximity Read ↗

From candidate gene studies to GWAS and post-GWAS analyses in breast cancer.Semantic proximity Read ↗

Genome-wide association studies for detecting cancer susceptibility.Semantic proximity Read ↗

Microarrays as cancer keys: an array of possibilities.Semantic proximity Read ↗

Scanning the horizon: what is the future of genome-wide association studies in accelerating discoveries in cancer etiology and prevention?Semantic proximity Read ↗

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