Pulignani Silvia, Vecoli Cecilia, Sabina Saverio, Foffa Ilenia, Ait-Ali Lamia, Andreassi Maria Grazia
Consiglio Nazionale delle Ricerche, Institute of Clinical Physiology, Pisa, Italy.
Consiglio Nazionale delle Ricerche, Institute of Clinical Physiology, Pisa, Italy.
Rev Esp Cardiol (Engl Ed). 2016 Aug;69(8):760-5. doi: 10.1016/j.rec.2016.03.004. Epub 2016 Apr 23.
Single-nucleotide polymorphisms within a microRNA binding site can have different effects on gene expression, influencing the risk of disease. This study aimed to evaluate the association between single-nucleotide polymorphisms and haplotypes in the 3'UTR of the GATA4 gene and congenital heart disease risk.
Bioinformatics algorithms were used to analyze single-nucleotide polymorphisms in putative microRNA-binding sites of GATA4 3'UTR and to calculate the difference in free energy of hybridization (ΔFE, kcal/mol) for each wild-type vs the variant allele.
The study population comprised 146 Caucasian patients (73 males; 6.68 ± 7.79 years) and a 265 healthy newborn participants (147 males). The sum of all |ΔFE| was considered to predict the biological importance of single-nucleotide polymorphisms binding more microRNAs. Next, the 4 polymorphisms (+1158C > T, +1256 A > T, +1355 G > A, +1521C > G) with the highest predicted |ΔFEtot| (9.91, 14.85, 11.03, 21.66kcal/mol, respectively) were genotyped in a case-control study (146 patients and 250 controls). Applying a correction for multiple testing only the +1158 T allele was found to be associated with a reduced risk showing significant difference between patients and controls. Haplotype analysis showed that the T-T-G-C haplotype (more uncommon in congenital heart diseases than in controls) was associated with a significantly decreased risk (P = .03), while the rare C-A-A-C haplotype, which was very uncommon in controls (0.3%) compared with the disease (2.4%), was associated with a 4-fold increased risk of disease (P = .04).
Common variants in 3'UTR of the GATA4 gene jointly interact, affecting the congenital heart disease susceptibility, probably by altering microRNA posttranscriptional regulation.
微小RNA结合位点内的单核苷酸多态性可对基因表达产生不同影响,进而影响疾病风险。本研究旨在评估GATA4基因3'非翻译区(3'UTR)的单核苷酸多态性与单倍型和先天性心脏病风险之间的关联。
运用生物信息学算法分析GATA4基因3'UTR推定的微小RNA结合位点中的单核苷酸多态性,并计算每个野生型与变异等位基因杂交自由能的差异(ΔFE,千卡/摩尔)。
研究人群包括146名白种人患者(73名男性;年龄6.68±7.79岁)和265名健康新生儿参与者(147名男性)。所有|ΔFE|的总和被认为可预测结合更多微小RNA的单核苷酸多态性的生物学重要性。接下来,在一项病例对照研究(146例患者和250名对照)中对预测的|ΔFEtot|最高的4个多态性位点(+1158C>T/+1256 A>T/+1355 G>A/+1521C>G,预测的|ΔFEtot|分别为9.91、14.85、11.03、21.66千卡/摩尔)进行基因分型。经多重检验校正后,仅发现+1158 T等位基因与风险降低相关,患者与对照之间存在显著差异。单倍型分析表明,T-T-G-C单倍型(在先天性心脏病中比在对照中更不常见)与风险显著降低相关(P = 0.03),而罕见的C-A-A-C单倍型在对照中(0.3%)与疾病组(2.4%)相比非常少见,与疾病风险增加4倍相关(P = 0.04)。
GATA4基因3'UTR中的常见变异共同相互作用,可能通过改变微小RNA的转录后调控影响先天性心脏病易感性。