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

Identifying disease related sub-pathways for analysis of genome-wide association studies.

Gene - 15 Jul 2012

Li Chunquan, Han Junwei, Shang Desi, Li Jing, Wang Yan, Wang Yingying, Zhang Yunpeng, Yao Qianlan, Zhang Chunlong, Li Kongning, Li Xia

Abstract excerpt

Most methods for genome-wide association studies (GWAS) focus on discovering a single genetic variant, but the pathogenesis of complex diseases is thought to arise from the joint effect of multiple genetic variants. Information about pathway structure, such as the interactions and distances between gene products within pathways, can help us learn more about the functions and joint effect of genes associated with...

Read the complete abstract on PubMed

Topics

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

Share to Arthritis, Rheumatoid
Share to Bipolar Disorder

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Coronary Artery Disease

Share to Crohn Disease

Share to Diabetes Mellitus, Type 1

Share to Diabetes Mellitus, Type 2

Share to Hypertension

Source

Identifiers

PMID: 22565193
DOI: 10.1016/j.gene.2012.04.051

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

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

Identifying disease related sub-pathways for analysis of genome-wide association studies.PMID 22565193Read ↗

Improving the detection of pathways in genome-wide association studies by combined effects of SNPs from Linkage Disequilibrium blocks.Semantic proximity Read ↗

Pathway-based approaches for analysis of genomewide association studies.Semantic proximity Read ↗

Gene and pathway-based second-wave analysis of genome-wide association studies.Semantic proximity Read ↗

Analysing biological pathways in genome-wide association studies.Semantic proximity Read ↗

Using genome-wide pathway analysis to unravel the etiology of complex diseases.Semantic proximity Read ↗

Prioritizing risk pathways: a novel association approach to searching for disease pathways fusing SNPs and pathways.Semantic proximity Read ↗

Pathway analysis of seven common diseases assessed by genome-wide association.Semantic proximity Read ↗

Pathway analysis of complex diseases for GWAS, extending to consider rare variants, multi-omics and interactions.Semantic proximity Read ↗

Pathway analysis for genome-wide genetic variation data: Analytic principles, latest developments, and new opportunities.Semantic proximity Read ↗

ICSNPathway: identify candidate causal SNPs and pathways from genome-wide association study by one analytical framework.Semantic proximity Read ↗

PANOGA: a web server for identification of SNP-targeted pathways from genome-wide association study data.Semantic proximity Read ↗

Pathway-based analysis using reduced gene subsets in genome-wide association studies.Semantic proximity Read ↗

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