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Comprehensive genetic analysis of the platelet activating factor acetylhydrolase (PLA2G7) gene and cardiovascular disease in case–control and family datasets

机译:在病例对照和家庭数据集中对血小板活化因子乙酰水解酶(PLA2G7)基因和心血管疾病的综合遗传分析

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Platelet-activating factor acetylhydrolase (PLA2G7) is a potent pro- and anti-inflammatory molecule that has been implicated in multiple inflammatory disease processes, including cardiovascular disease. The goal of this study was to investigate the genetic effects of PLA2G7 on coronary artery disease (CAD) risk in two large, independent datasets with CAD. Using a haplotype tagging (ht) approach, 19 ht single nucleotide polymorphisms (SNPs) were genotyped in CATHGEN case–control samples (cases = 806 and controls = 267) and in the GENECARD Family Study (n = 1101 families, 2954 individuals). Single SNP analysis using logistic regression revealed nine SNPs with significant association in all CATHGEN subjects (P = 0.0004–0.02). CATHGEN cases were further stratified into subgroups based on age of CAD onset (AOO) and severity of disease; 599 young affecteds (YA, AOO <56) and 207 old affected (OA, AOO >56). Significant genetic effects were observed in both OA and YA (P = 0.0001–0.02). The GENECARD probands demonstrated results similar to those seen in the YA CATHGEN cases (P = 0.002–0.05). Of the 19 SNPs genotyped, 3 SNPs result in nonsynonymous coding changes (I198T, A379V and R92H). Two of the coding SNPs, R92H and A379V, constitute two of the most significantly associated SNPs, even after Bonferroni correction and appear to represent independent associations (r2 = 0.09). Multiple additional polymorphisms in low linkage disequilibrium with these coding SNPs were also strongly associated. In summary, PLA2G7 represents an important, potentially functional candidate in the pathophysiology of CAD based on replicated associations using two independent datasets and multiple statistical approaches. Further functional studies involving a combination of risk alleles are warranted.
机译:血小板活化因子乙酰水解酶(PLA2G7)是一种有效的促炎和抗发炎分子,与多种发炎性疾病过程(包括心血管疾病)有关。这项研究的目的是在两个独立的大型CAD数据集中研究PLA2G7对冠心病(CAD)风险的遗传效应。使用单倍型标签(ht)方法,在CATHGEN病例对照样本(病例= 806和对照= 267)和GENECARD家庭研究(n = 1101家族,2954个人)中对19 ht单核苷酸多态性(SNP)进行了基因分型。使用Logistic回归进行的单SNP分析显示,所有CATHGEN受试者中有9个SNP具有显着相关性(P = 0.0004–0.02)。根据CAD发病年龄(AOO)和疾病严重程度,将CATHGEN病例进一步分为亚组。 599名青年受影响者(YA,AOO <56)和207名老年受影响者(OA,AOO> 56)。在OA和YA中均观察到显着的遗传效应(P = 0.0001–0.02)。 GENECARD先证者证明的结果与YA CATHGEN病例相似(P = 0.002-0.05)。基因型的19个SNP中,有3个SNP导致非同义的编码变化(I198T,A379V和R92H)。即使在Bonferroni校正后,两个编码SNP R92H和A379V仍是两个关联最密切的SNP,并且似乎代表独立的关联(r 2 = 0.09)。低连锁不平衡与这些编码SNP的多个其他多态性也密切相关。总之,基于使用两个独立数据集和多种统计方法的重复关联,PLA2G7代表了CAD病理生理学中潜在的重要功能候选物。涉及涉及风险等位基因的进一步功能研究是必要的。

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