Martin Ruairidh I R, Babaei Mahsa Sheikhali, Choy Mun-Kit, Owens W Andrew, Chico Timothy J A, Keenan Daniel, Yonan Nizar, Koref Mauro Santibáñez, Keavney Bernard D
Institute of Genetic Medicine, Newcastle University, Newcastle-upon-Tyne, UK.
Institute of Genetic Medicine, Newcastle University, Newcastle-upon-Tyne, UK.
J Mol Cell Cardiol. 2015 Aug;85:207-14. doi: 10.1016/j.yjmcc.2015.06.005. Epub 2015 Jun 11.
Genome-wide association studies (GWAS) have identified genetic variants in a number of chromosomal regions that are associated with atrial fibrillation (AF). The mechanisms underlying these associations are unknown, but are likely to involve effects of the risk haplotypes on expression of neighbouring genes. To investigate the association between genetic variants at AF-associated loci and expression of nearby candidate genes in human atrial tissue and peripheral blood. Right atrial appendage (RAA) samples were collected from 122 patients undergoing cardiac surgery, of these, 12 patients also had left atrial appendage samples taken. 22 patients had a history of AF. Peripheral blood samples were collected from 405 patients undergoing diagnostic cardiac catheterisation. In order to tag genetic variation at each of nine loci, a total of 367 single nucleotide polymorphisms (SNPs) were genotyped using the Sequenom platform. Total expression of 16 candidate genes in the nine AF-associated regions was measured by quantitative PCR. The relative expression of each allele of the candidate genes was measured on the Sequenom platform using one or more transcribed SNPs to distinguish between alleles in heterozygotes. We tested association between the SNPs of interest and gene expression using total gene expression (integrating cis and trans acting sources of variation), and allelic expression ratios (specific for cis acting influences), in atrial tissue and peripheral blood. We adjusted for multiple comparisons using a Bonferroni approach. In subsidiary analyses, we compared the expression of candidate genes between patients with and without a history of AF. Total expression of 15 transcripts of 14 genes and allelic expression ratio of 14 transcripts of 14 genes in genomic regions associated with AF were measured in right atrial appendage tissue. 8 of these transcripts were also expressed in peripheral blood. Risk alleles at AF-associated SNPs were associated in cis with an increased expression of PITX2a (2.01-fold, p=6.5×10(-4)); and with decreased expression of MYOZ1 (0.39 fold; p=5.5×10(-15)), CAV1 (0.89 fold; p=5.9×10(-8)), C9orf3 (0.91 fold; 1.5×10(-5)), and FANCC (0.94-fold; p=8.9×10(-8)) in right atrial appendage. Of these five genes, only CAV1 was expressed in peripheral blood; association between the same AF risk alleles and lower expression of CAV1 was confirmed (0.91 fold decrease; p=4.2×10(-5)). A history of AF was also associated with a decrease in expression of CAV1 in both right and left atria (0.84 and 0.85 fold, respectively; p=0.03), congruent with the magnitude of the effect of the risk SNP on expression, and independent of genotype. The analyses in peripheral blood showed association between AF risk SNPs and decreased expression of KCNN3 (0.85-fold; p=2.1×10(-4)); and increased expression of SYNE2 (1.12-fold; p=7.5×10(-24)); however, these associations were not detectable in atrial tissue. We identified novel cis-acting associations in atrial tissue between AF risk SNPs and increased expression of PITX2a/b; and decreased expression of CAV1 (an association also seen in peripheral blood), C9orf3 and FANCC. We also confirmed a previously described association between AF risk variants and MYOZ1 expression. Analyses of peripheral blood illustrated tissue-specificity of cardiac eQTLs and highlight the need for larger-scale genome-wide eQTL studies in cardiac tissue. Our results suggest novel aetiological roles for genes in four AF-associated genomic regions.
全基因组关联研究(GWAS)已在多个与心房颤动(AF)相关的染色体区域鉴定出遗传变异。这些关联背后的机制尚不清楚,但可能涉及风险单倍型对邻近基因表达的影响。为了研究AF相关位点的遗传变异与人类心房组织和外周血中附近候选基因表达之间的关联。从122例接受心脏手术的患者中采集右心耳(RAA)样本,其中12例患者还采集了左心耳样本。22例患者有AF病史。从405例接受诊断性心导管检查的患者中采集外周血样本。为了标记9个位点中的每一个的遗传变异,使用Sequenom平台对总共367个单核苷酸多态性(SNP)进行基因分型。通过定量PCR测量9个AF相关区域中16个候选基因的总表达。使用一个或多个转录的SNP在Sequenom平台上测量候选基因每个等位基因的相对表达,以区分杂合子中的等位基因。我们在心房组织和外周血中使用总基因表达(整合顺式和反式作用变异来源)和等位基因表达比率(特定于顺式作用影响)测试了感兴趣的SNP与基因表达之间的关联。我们使用Bonferroni方法对多重比较进行了校正。在辅助分析中,我们比较了有和没有AF病史的患者之间候选基因的表达。在右心耳组织中测量了与AF相关的基因组区域中14个基因的15个转录本的总表达和14个基因的14个转录本的等位基因表达比率。这些转录本中的8个也在外周血中表达。AF相关SNP的风险等位基因在顺式中与PITX2a表达增加相关(2.01倍,p = 6.5×10(-4));与MYOZ1表达降低相关(0.39倍;p = 5.5×10(-15)),CAV1(0.89倍;p = 5.9×10(-8)),C9orf3(0.91倍;1.5×10(-5))和FANCC(0.94倍;p = 8.9×10(-8))在右心耳中。在这五个基因中,只有CAV1在外周血中表达;证实了相同的AF风险等位基因与CAV1较低表达之间的关联(降低0.91倍;p = 4.2×10(-5))。AF病史也与右心房和左心房中CAV1表达降低相关(分别为0.84和0.85倍;p = 0.03),与风险SNP对表达的影响程度一致,且与基因型无关。外周血分析显示AF风险SNP与KCNN3表达降低相关(0.85倍;p = 2.1×10(-4));与SYNE2表达增加相关(1.12倍; p = 7.5×10(-24));然而,这些关联在心房组织中未检测到。我们在心房组织中鉴定了AF风险SNP与PITX2a / b表达增加之间的新型顺式作用关联;以及CAV1(在外周血中也可见)、C9orf3和FANCC表达降低。我们还证实了先前描述的AF风险变异与MYOZ1表达之间的关联。外周血分析说明了心脏eQTL的组织特异性,并强调了在心脏组织中进行更大规模全基因组eQTL研究的必要性。我们的结果表明四个AF相关基因组区域中的基因具有新的病因学作用。