Frontiers in Genetics ( IF 3.7 ) Pub Date : 2020-06-03 , DOI: 10.3389/fgene.2020.00679 Jing Ni 1, 2 , Bin Deng 3 , Meng Zhu 1, 2 , Yuzhuo Wang 1, 2 , Caiwang Yan 1, 2 , Tianpei Wang 1, 2 , Yaqian Liu 1, 2 , Gang Li 4 , Yanbing Ding 3 , Guangfu Jin 1, 2
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
中文翻译:
GWAS和eQTL分析的集成,以鉴定胃癌的风险基因座和易感基因。
全基因组关联研究(GWAS)已经确定了胃癌(GC)的几个易感基因座,但是大多数鉴定出的单核苷酸多态性(SNP)属于非编码区,并且可能通过调节基因发挥其生物学功能表达。为了系统地评估赋予遗传易感性的表达相关SNP(eSNPs),GC,我们评估了三个GWAS数据集(2,631例和4,373例对照)中314,203胃组织特异性eSNP与GC风险的关联。随后,我们进行了基于基因的分析,通过序列核结合试验和Sherlock整合分析来计算eSNP的累积效应。在SNP级别,我们确定了两个与GC风险相关的新变体(7p22.1处的rs836545和6p22.2处的rs1892252)。