ArticleCancer medicine2018
Evidence for PTGER4, PSCA, and MBOAT7 as risk genes for gastric cancer on the genome and transcriptome level.
Article in Cancer medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 26 citations in OpenAlex.
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- International Union of Basic and Clinical Pharmacology. CIX. Differences and Similarities between Human and Rodent Prostaglandin EPharmacological reviews · 2020Article
- Gastric cancer in autoimmune gastritis: A case-control study from the German centers of the staR project on gastric cancer research.United European gastroenterology journal · 2020Observational
- Gastritis Stages in Monozygotic and Dizygotic Dyspeptic Twins.Gastroenterology research and practice · 2020Article
- Integration of GWAS and eQTL Analysis to Identify Risk Loci and Susceptibility Genes for Gastric Cancer.Frontiers in genetics · 2020Article
- Identification and Validation of an Energy Metabolism-Related lncRNA-mRNA Signature for Lower-Grade Glioma.BioMed research international · 2020Article
- Bioinformatics analysis of microarray data to identify the candidate biomarkers of lung adenocarcinoma.PeerJ · 2019Article
- Evidence for PTGER4, PSCA, and MBOAT7 as risk genes for gastric cancer on the genome and transcriptome level.Cancer medicine · 2018Article
- A Novel Diagnosis Method Based on Methylation Analysis of SHOX2 and Serum Biomarker for Early Stage Lung Cancer.Cancer control : journal of the Moffitt Cancer CenterObservational
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Authors and funding
62 authors at 20 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic associations between variants on chromosome 5p13 and 8q24 and gastric cancer (GC) have been previously reported in the Asian population. We aimed to replicate these findings and to characterize the associations at the genome and transcriptome level. We performed a fine-mapping association study in 1926 GC patients and 2012 controls of European descent using high dense SNP marker sets on both chromosomal regions. Next, we performed expression quantitative trait locus (eQTL) analyses using gastric transcriptome data from 143 individuals focusing on the GC associated variants. On chromosome 5p13 the strongest association was observed at rs6872282 (P = 2.53 × 10
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