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

Prioritization of risk genes in colorectal cancer by integrative analysis of multi-omics data and gene networks.

Science China. Life sciences - 1 Jan 2024

Zhang Ming, Wang Xiaoyang, Yang Nan, Zhu Xu, Lu Zequn, Cai Yimin, Li Bin, Zhu Ying, Li Xiangpan, Wei Yongchang, Zhang Shaokai, Tian Jianbo, Miao Xiaoping

Abstract excerpt

Genome-wide association studies (GWASs) have identified over 140 colorectal cancer (CRC)-associated loci; however, target genes at the majority of loci and underlying molecular mechanisms are poorly understood. Here, we utilized a Bayesian approach, integrative risk gene selector (iRIGS), to prioritize risk genes at CRC GWAS loci by integrating multi-omics data. As a result, a total of 105 high-confidence risk...

Read the complete abstract on PubMed

Topics

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

Share to Bayes Theorem
Share to Colorectal Neoplasms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Regulatory Networks

Share to Genome-Wide Association Study

Share to Multiomics

Share to Phosphatidylinositol 3-Kinases

Share to Polymorphism, Single Nucleotide

Share to Transcription Factors

Source

Identifiers

PMID: 37747674
DOI: 10.1007/s11427-023-2439-7

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

Prioritization of risk genes in colorectal cancer by integrative analysis of multi-omics data and gene networks.PMID 37747674Read ↗

Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes.Semantic proximity Read ↗

Genome-Wide Association and Transcriptome-Wide Association Studies Identify Novel Susceptibility Genes Contributing to Colorectal Cancer.Semantic proximity Read ↗

Multi-omics analysis to identify susceptibility genes for colorectal cancer.Semantic proximity Read ↗

Systematic prioritization of functional variants and effector genes underlying colorectal cancer risk.Semantic proximity Read ↗

A comprehensive multi-omics study reveals potential prognostic and diagnostic biomarkers for colorectal cancerSemantic proximity Read ↗

Multidimensional dissection of shared genetic susceptibility in ulcerative colitis and colorectal cancer: novel insights from integrative single-cell and multi-omics analysis.Semantic proximity Read ↗

Multi-omics analysis to identify driving factors in colorectal cancer.Semantic proximity Read ↗

Identification of Susceptibility Loci and Genes for Colorectal Cancer Risk.Semantic proximity Read ↗

Large-scale genetic study in East Asians identifies six new loci associated with colorectal cancer risk.Semantic proximity Read ↗

A Novel Approach to Biomarker Discovery: Four Key Genes as High-Performance Biomarkers for Colorectal CancerSemantic proximity Read ↗

Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries.Semantic proximity Read ↗

Integrative multi-omics analysis identifies key genes and colocalized signals associated with colorectal cancer risk.Semantic proximity Read ↗

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