Pathway,in silicoand tissue-specific expression quantitative analyses of oesophageal squamous cell carcinoma genome-wide association studies data | Zendy

Paula L. Hyland | Zendy; Han Zhang | Zendy; Qi Yang | Zendy; Howard H. Yang | Zendy; Nan Hu | Zendy; ShihWen Lin | Zendy; Hua Su | Zendy; Lemin Wang | Zendy; Chaoyu Wang | Zendy; Ti Ding | Zendy; JinHu Fan | Zendy; YouLin Qiao | Zendy; Hyuna Sung | Zendy; William Wheeler | Zendy; Carol Giffen | Zendy; Laurie Burdett | Zendy; Zhaoming Wang | Zendy; Maxwell P. Lee | Zendy; Stephen J. Chanock | Zendy; Sanford M. Dawsey | Zendy; Neal D. Freedman | Zendy; Christian C. Abnet | Zendy; Alisa M. Goldstein | Zendy; Kai Yu | Zendy; Philip R. Taylor | Zendy

Open Access

Pathway,in silicoand tissue-specific expression quantitative analyses of oesophageal squamous cell carcinoma genome-wide association studies data

Author(s) -

Paula L. Hyland,

Han Zhang,

Qi Yang,

Howard H. Yang,

Nan Hu,

ShihWen Lin,

Hua Su,

Lemin Wang,

Chaoyu Wang,

Ti Ding,

JinHu Fan,

YouLin Qiao,

Hyuna Sung,

William Wheeler,

Carol Giffen,

Laurie Burdett,

Zhaoming Wang,

Maxwell P. Lee,

Stephen J. Chanock,

Sanford M. Dawsey,

Neal D. Freedman,

Christian C. Abnet,

Alisa M. Goldstein,

Kai Yu,

Philip R. Taylor

Publication year - 2015

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyv294

Subject(s) - expression quantitative trait loci , kegg , genome wide association study , biology , in silico , single nucleotide polymorphism , genetic association , genetics , gene , linkage disequilibrium , computational biology , gene expression , transcriptome , genotype

Oesophageal cancer is the fourth leading cause of cancer death in China where essentially all cases are histologically oesophageal squamous cell carcinoma (ESCC). Agnostic pathway-based analyses of genome-wide association study (GWAS) data combined with tissue-specific expression quantitative trait loci (eQTL) analysis and publicly available functional data can identify biological pathways and/or genes enriched with functionally-relevant disease-associated variants.

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