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

Transcriptome‐wide association study identifies multiple genes and pathways associated with pancreatic cancer

18 Oct 2018

Abstract excerpt

Abstract Aim To identify novel candidate genes for pancreatic cancer. Methods We performed a transcriptome‐wide association study (TWAS) analysis of pancreatic cancer (PC). GWAS summary data were driven from the published studies of PC, totally involving 558 542 SNPs in 1896 individuals with pancreatic cancer and 1939 healthy controls. FUSION software was applied to the PC GWAS summary data for tissue‐related...

Read the complete abstract on PubMed

Topics

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

Share to Ferroptosis and cancer prognosis
Share to Pancreatic and Hepatic Oncology Research
Share to Pancreatitis Pathology and Treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 30334361
DOI: 10.1002/cam4.1836

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Transcriptome‐wide association study identifies multiple genes and pathways associated with pancreatic cancerPMID 30334361Read ↗

A Transcriptome-Wide Association Study Identifies Novel Candidate Susceptibility Genes for Pancreatic Cancer.Semantic proximity Read ↗

A Transcriptome-Wide Association Study Identifies Candidate Susceptibility Genes for Pancreatic Cancer Risk.Semantic proximity Read ↗

RNA sequencing analyses reveal novel differentially expressed genes and pathways in pancreatic cancerSemantic proximity Read ↗

Integrated Analysis of Multi-Omics Data to Identify Prognostic Genes for Pancreatic Cancer.Semantic proximity Read ↗

An integrative mutational and network analysis of pancreatic cancer reveals key genes, and signalling pathways.Semantic proximity Read ↗

Phenome-genome association studies of pancreatic cancer: new targets for therapy and diagnosis.Semantic proximity Read ↗

Integrated analysis of multi-omics data to identification of prognostic genes for pancreatic cancerSemantic proximity Read ↗

Genome-wide meta-analysis identifies five new susceptibility loci for pancreatic cancer.Semantic proximity Read ↗

Splicing transcriptome-wide association study to identify splicing events for pancreatic cancer risk.Semantic proximity Read ↗

Analysis of a large cohort of pancreatic cancer transcriptomic profiles to reveal the strongest prognostic factorsSemantic proximity Read ↗

Identification of Cancer Associated Fibroblasts Related Genes Signature to Facilitate Improved Prediction of Prognosis and Responses to Therapy in Patients with Pancreatic CancerSemantic proximity Read ↗

Validation of genome-wide association study-identified single nucleotide polymorphisms in a case-control study of pancreatic cancer from Taiwan.Semantic proximity Read ↗

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