ArticleFrontiers in genetics2020
Integration of GWAS and eQTL Analysis to Identify Risk Loci and Susceptibility Genes for Gastric Cancer.
Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 15 citations in OpenAlex.
- The Donkey Genome: From Evolutionary Insights to Sustainable Breeding Strategies.Animals : an open access journal from MDPI · 2025Review
- Deciphering genetic regulation at single-cell resolution in gastric cancer.Cell genomics · 2025Article
- Mendelian randomization analysis identified potential genes pleiotropically associated with gout.Frontiers in genetics · 2024Article
- metGWAS 1.0: an R workflow for network-driven over-representation analysis between independent metabolomic and meta-genome-wide association studies.Bioinformatics (Oxford, England) · 2023Article
- Association between F-box-only protein 43 overexpression and hepatocellular carcinoma pathogenesis and prognosis.Cancer medicine · 2023Article
- Article
- IsomiR-eQTL: A Cancer-Specific Expression Quantitative Trait Loci Database of miRNAs and Their Isoforms.International journal of molecular sciences · 2022Article
- Evaluation of cfDNA as an early detection assay for dense tissue breast cancer.Scientific reports · 2022Article
- Integrating Multimorbidity into a Whole-Body Understanding of Disease Using Spatial Genomics.Results and problems in cell differentiation · 2022Article
- Prognostic and Therapeutic Significance of BTN3A Proteins in Tumors.Journal of Cancer · 2021Review
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide association studies (GWAS) have identified several susceptibility loci for gastric cancer (GC), but the majority of identified single-nucleotide polymorphisms (SNPs) fall within the non-coding region and are likely to exert their biological function by modulating gene expression. To systematically estimate expression-associated SNPs (eSNPs) that confer genetic predisposition to GC, we evaluated the associations of 314,203 stomach tissue-specific eSNPs with GC risk in three GWAS datasets (2,631 cases and 4,373 controls). Subsequently, we conducted a gene-based analysis to calculate the cumulative effect of eSNPs through sequence kernel association combined test and Sherlock integrative analysis. At the SNP-level, we identified two novel variants (rs836545 at 7p22.1 and rs1892252 at 6p22.2) associated with GC risk. The risk allele carriers of rs836545-T and rs1892252-G exhibited higher expression levels of
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