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

Multi-omics analysis to identify susceptibility genes for colorectal cancer.

Human molecular genetics - 27 Apr 2021

Yuan Yuan, Bao Jiandong, Chen Zhishan, Villanueva Anna Díez, Wen Wanqing, Wang Fangqin, Zhao Dejian, Fu Xianghui, Cai Qiuyin, Long Jirong, Shu Xiao-Ou, Zheng Deyou, Moreno Victor, Zheng Wei, Lin Weiqiang, Guo Xingyi

Abstract excerpt

Most genetic variants for colorectal cancer (CRC) identified in genome-wide association studies (GWAS) are located in intergenic regions, implying pathogenic dysregulations of gene expression. However, comprehensive assessments of target genes in CRC remain to be explored. We conducted a multi-omics analysis using transcriptome and/or DNA methylation data from the Genotype-Tissue Expression, The Cancer Genome...

Read the complete abstract on PubMed

Topics

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

Share to Carcinogenesis
Share to Colorectal Neoplasms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to DNA Methylation

Share to Gene Expression Regulation, Neoplastic

Share to Genome

Share to Nerve Tissue Proteins

Share to Repressor Proteins

Share to Transcriptome

Source

Open in PubMed Open full text

Identifiers

PMID: 33481017
DOI: 10.1093/hmg/ddab021
PMCID: PMC8485221

Genes

DIP2B
SFMBT1

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Multi-omics analysis to identify susceptibility genes for colorectal cancer.PMID 33481017Read ↗

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 ↗

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

Integrating multi-tissue expression and splicing data to prioritise anatomical subsite- and sex-specific colorectal cancer susceptibility genes with therapeutic potentialSemantic proximity Read ↗

Mixed-model and transcriptome-wide association analyses identify transcription factors and genes associated with colorectal cancer susceptibility.Semantic proximity Read ↗

Deconvolution-based cell-type specific DNA methylation-wide and transcriptome-wide association studies identify risk CpG sites and genes associated with colorectal cancer riskSemantic proximity Read ↗

Identification of circadian rhythm-related genes in colorectal cancer by integrating bioinformatics and multi-omics mendelian randomization.Semantic proximity Read ↗

Five genes identified as prognostic markers for colorectal cancer through the integration of genome-wide association study and expression quantitative trait loci data.Semantic proximity Read ↗

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

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

Progress on functional mechanisms of colorectal cancer causal SNPs in post-GWAS.Semantic proximity Read ↗

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

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

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